diff --git a/.github/workflows/pytest.yml b/.github/workflows/pytest.yml index 6984711..e328f63 100644 --- a/.github/workflows/pytest.yml +++ b/.github/workflows/pytest.yml @@ -2,15 +2,44 @@ name: Python package on: [push, pull_request] +# T6.3 of test refactor: jobs split into three for fast feedback. +# +# - unit (Python 3.10 / 3.11 / 3.12, ~10s each) +# Fast, deterministic, no NR data required. Required to pass on all +# three Python versions to merge. +# +# - integration (Python 3.10 only, ~1m30s) +# SXS / CCE end-to-end workflow tests. Required to pass. +# Runs only after `unit` succeeds on all matrix entries. +# +# - regression-baselines (Python 3.10 only, ~16s, opt-in) +# Byte-for-byte fingerprints from the Stage 2 / Stage 3 refactors. +# Memory-heavy; opt-in via `-m regression_baseline`. +# Runs only after `unit` succeeds. +# +# Both `integration` and `regression-baselines` require `unit` to pass first, +# so a Python-version regression in unit tests fails fast without burning +# CI minutes on the slow suites. + jobs: - build: + # ========================================================================= + # 1. Fast unit tests across the Python × OS matrix + # ========================================================================= + unit: + name: unit (${{ matrix.os }}, Python ${{ matrix.python-version }}) if: | github.event_name != 'push' || !contains(github.event.head_commit.message, '[skip ci]') - runs-on: ubuntu-latest + runs-on: ${{ matrix.os }} + # All combinations are required to pass — failure on any blocks merges. + # T6.6 added macOS as mandatory (no continue-on-error). ``fail-fast: false`` + # means each entry's failures are reported independently rather than + # aborting on the first. strategy: + fail-fast: false matrix: - python-version: ["3.10"] + os: [ubuntu-latest, macos-latest] + python-version: ["3.10", "3.11", "3.12"] steps: - uses: actions/checkout@v3 @@ -19,6 +48,76 @@ jobs: with: python-version: ${{ matrix.python-version }} + - name: Install system dependencies (Linux) + if: runner.os == 'Linux' + run: | + sudo apt-get update + sudo apt-get install -y libfftw3-dev + + - name: Install system dependencies (macOS) + if: runner.os == 'macOS' + run: | + brew update + brew install fftw + + - name: Get pip cache directory + id: pip-cache + run: echo "dir=$(pip cache dir)" >> "$GITHUB_OUTPUT" + + - name: Cache pip + uses: actions/cache@v3 + with: + path: ${{ steps.pip-cache.outputs.dir }} + # Cache key includes OS + Python version so each matrix entry has + # its own pip cache (wheels are per-OS-per-Python). + # If commit message contains [reset cache], the key changes → fresh cache. + key: ${{ runner.os }}-pip-py${{ matrix.python-version }}-${{ hashFiles('**/pyproject.toml') }}-${{ contains(github.event.head_commit.message, '[reset cache]') }} + restore-keys: | + ${{ runner.os }}-pip-py${{ matrix.python-version }}- + ${{ runner.os }}-pip- + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -e ".[tests]" + + # Claude Code: See CLAUDE.md / MEMORY.md / code_review §5 for context. + - name: Verify editable install (no site-packages shadowing) + run: | + python <<'PY' + import sys + import gwBOB + loc = gwBOB.__file__ + if "site-packages" in loc: + print("ERROR: gwBOB was loaded from site-packages, not the local source.", file=sys.stderr) + print(f" gwBOB.__file__ = {loc}", file=sys.stderr) + print(" This is the 'stale install shadowing local source' trap that", file=sys.stderr) + print(" silently caused a WSL OOM event on 2026-04-25.", file=sys.stderr) + print(" Fix: run `pip install -e .` from BackwardsOneBody/.", file=sys.stderr) + sys.exit(1) + print(f"OK: gwBOB loaded from local source: {loc}") + PY + + - name: Run unit tests + run: pytest tests/unit/ -v + + # ========================================================================= + # 2. Slow integration tests on canonical Python (3.10) only + # ========================================================================= + integration: + name: integration (Python 3.10) + if: | + github.event_name != 'push' || + !contains(github.event.head_commit.message, '[skip ci]') + runs-on: ubuntu-latest + needs: unit # only run if all unit-test matrix entries pass + + steps: + - uses: actions/checkout@v3 + - name: Set up Python 3.10 + uses: actions/setup-python@v3 + with: + python-version: "3.10" + - name: Install system dependencies run: | sudo apt-get update @@ -27,21 +126,116 @@ jobs: uses: actions/cache@v3 with: path: ~/.cache/pip - # By default, cache key is based on pyproject.toml hash. - # If commit message contains [reset cache], the key changes → fresh cache - key: ${{ runner.os }}-pip-${{ hashFiles('**/pyproject.toml') }}-${{ contains(github.event.head_commit.message, '[reset cache]') }} + key: ${{ runner.os }}-pip-py3.10-${{ hashFiles('**/pyproject.toml') }}-${{ contains(github.event.head_commit.message, '[reset cache]') }} restore-keys: | + ${{ runner.os }}-pip-py3.10- ${{ runner.os }}-pip- - name: Install dependencies run: | python -m pip install --upgrade pip pip install -e ".[tests]" - - name: Test with pytest + - name: Verify editable install (no site-packages shadowing) + run: | + python <<'PY' + import sys + import gwBOB + loc = gwBOB.__file__ + if "site-packages" in loc: + print("ERROR: gwBOB was loaded from site-packages, not the local source.", file=sys.stderr) + print(f" gwBOB.__file__ = {loc}", file=sys.stderr) + sys.exit(1) + print(f"OK: gwBOB loaded from local source: {loc}") + PY + + # The ~90 MB of SXS + Zenodo waveform data isn't committed to the repo; + # fetch_data.py downloads it. Cache it across runs (key on the script + # so cache busts when fetch logic changes) to keep CI fast. + - name: Cache SXS / CCE test data + id: cache-test-data + uses: actions/cache@v3 + with: + path: tests/sxs_cache + key: ${{ runner.os }}-test-data-${{ hashFiles('tests/fetch_data.py') }} + + - name: Fetch test data + if: steps.cache-test-data.outputs.cache-hit != 'true' + run: python tests/fetch_data.py + + # Default `pytest tests/integration/` excludes the regression-baseline + # marker via ``addopts`` in pyproject.toml, so this job runs the + # workflow regressions but NOT the byte-for-byte fingerprints. + - name: Run integration tests env: SXSCACHEDIR: ${{ github.workspace }}/tests/sxs_cache SXSCONFIGDIR: ${{ github.workspace }}/tests/sxs_cache + run: pytest tests/integration/ -v + + # ========================================================================= + # 3. Byte-for-byte regression baselines (opt-in via marker) + # ========================================================================= + regression-baselines: + name: regression-baselines (Python 3.10) + if: | + github.event_name != 'push' || + !contains(github.event.head_commit.message, '[skip ci]') + runs-on: ubuntu-latest + needs: unit + + steps: + - uses: actions/checkout@v3 + - name: Set up Python 3.10 + uses: actions/setup-python@v3 + with: + python-version: "3.10" + + - name: Install system dependencies + run: | + sudo apt-get update + sudo apt-get install -y libfftw3-dev + - name: Cache pip + uses: actions/cache@v3 + with: + path: ~/.cache/pip + key: ${{ runner.os }}-pip-py3.10-${{ hashFiles('**/pyproject.toml') }}-${{ contains(github.event.head_commit.message, '[reset cache]') }} + restore-keys: | + ${{ runner.os }}-pip-py3.10- + ${{ runner.os }}-pip- + - name: Install dependencies + run: | + python -m pip install --upgrade pip + pip install -e ".[tests]" + + - name: Verify editable install (no site-packages shadowing) run: | - pytest tests/ - - \ No newline at end of file + python <<'PY' + import sys + import gwBOB + loc = gwBOB.__file__ + if "site-packages" in loc: + print("ERROR: gwBOB was loaded from site-packages, not the local source.", file=sys.stderr) + print(f" gwBOB.__file__ = {loc}", file=sys.stderr) + sys.exit(1) + print(f"OK: gwBOB loaded from local source: {loc}") + PY + + # Same cache + fetch pattern as the integration job; both pull the + # same key, so a cache populated by either job is reusable by the other. + - name: Cache SXS / CCE test data + id: cache-test-data + uses: actions/cache@v3 + with: + path: tests/sxs_cache + key: ${{ runner.os }}-test-data-${{ hashFiles('tests/fetch_data.py') }} + + - name: Fetch test data + if: steps.cache-test-data.outputs.cache-hit != 'true' + run: python tests/fetch_data.py + + # Opt-in via ``-m regression_baseline`` overrides the ``addopts`` filter + # in pyproject.toml that excludes them by default. + - name: Run regression baselines + env: + SXSCACHEDIR: ${{ github.workspace }}/tests/sxs_cache + SXSCONFIGDIR: ${{ github.workspace }}/tests/sxs_cache + run: pytest tests/integration/test_regression_baselines.py -m regression_baseline -v diff --git a/.gitignore b/.gitignore index 21243f0..92f220a 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,27 @@ docs/build/ build/ gwBOB.egg-info/ +# Ignore design notes, agent scratch, and ad-hoc markdown files. +# README.md and joss/paper.md remain tracked. +*.md +!README.md +!joss/paper.md + +# Local scratch files +code_review +test_stuff.py + +# Local utility scripts (memory profiling, ad-hoc benchmarks, etc.) +scripts/ + +# Pytest / coverage artifacts +.pytest_cache/ +.coverage +tests/coverage_html/ + +# Test data fetched on-demand by tests/fetch_data.py (~90 MB). +# The SXS catalog data and the Zenodo CCE waveforms are not ours to +# redistribute, and committing them bloats fresh clones. Run +# python tests/fetch_data.py +# once after cloning to populate this directory. Unit tests don't need it. +tests/sxs_cache/ diff --git a/README.md b/README.md index b479754..90651d1 100644 --- a/README.md +++ b/README.md @@ -70,6 +70,24 @@ pip install gwBOB ``` +## Running the Tests + +If you've cloned the repo and want to run the test suite: + +```bash +cd BackwardsOneBody/ +pip install -e ".[tests]" + +# Unit tests are fast and need no external data: +pytest tests/unit/ + +# Integration tests need ~90 MB of waveform data from the SXS catalog and +# the Zenodo CCE record. Fetch it once: +python tests/fetch_data.py +pytest tests/ +``` + + ## Citing this Code If you use this code please cite @@ -98,9 +116,12 @@ If you use this code please cite } ``` -BOB paper to be added. +JOSS paper to be added. If you have any issues with this code, want any new features, or use this code for your own research, please let me know! + + +## AI Usage -JOSS paper to be added. +While the original code was written largely manually, this code is now mostly developed through the use of Claude Code. AI usage follows the JOSS policy on AI usage. All design decisions are made by humans. All LLM generated code is verified manually by humans. Throughout the code you will likely see comments starting with "Claude Code:" that refer to specific MD files. These files are not part of the git but Anuj will share them on request. ## Contributing diff --git a/gwBOB/BOB_utils.py b/gwBOB/BOB_utils.py index d4ef43f..6fde406 100644 --- a/gwBOB/BOB_utils.py +++ b/gwBOB/BOB_utils.py @@ -10,97 +10,109 @@ from gwBOB import gen_utils from gwBOB import convert_to_strain_using_series from gwBOB import ascii_funcs +from gwBOB import _construct +from gwBOB._state import ( + Remnant, DataStore, WaveformConfig, FitConfig, RuntimeState, FitResult, +) logger = logging.getLogger(__name__) + +# Warning text emitted by the `what_should_BOB_create` setter for testing-only modes. +_STRAIN_WARNING = ( + "WARNING! THIS IS NOT A GOOD WAY TO BUILD THE STRAIN! " + "BOB SHOULD BE BUILT FOR PSI4/NEWS AND CONVERTED TO STRAIN. " + "THIS IS HERE FOR TESTING/COMPLETENESS!" +) +_QUADRUPOLE_WARNING = ( + "WARNING! THIS IS NOT A GOOD WAY TO BUILD THE QUADRUPOLE TERMS! " + "BOB SHOULD BE BUILT FOR PSI4/NEWS AND THE QUADRUPOLE QUANTITY SHOULD BE BUILT FROM THESE TERMS. " + "THIS IS HERE FOR TESTING/COMPLETENESS!" +) + +# Dispatch table for "simple" modes. Tuple is: +# (canonical_name, DataStore attribute name, Omega_0 fit fn, optional warning) +_SIMPLE_MODES = { + "psi4": ("psi4", "psi4_data", gen_utils.Omega_0_fit_psi4, None), + "strain_using_psi4": ("strain_using_psi4", "psi4_data", gen_utils.Omega_0_fit_psi4, None), + "news": ("news", "news_data", gen_utils.Omega_0_fit_news, None), + "strain_using_news": ("strain_using_news", "news_data", gen_utils.Omega_0_fit_news, None), + "strain": ("strain", "strain_data", gen_utils.Omega_0_fit_strain, _STRAIN_WARNING), +} + +# Dispatch table for quadrupole modes. Tuple is: +# (canonical_name, base_mode for construct_NR_mass_and_current_quadrupole, "mass" | "current") +_QUADRUPOLE_MODES = { + "mass_quadrupole_with_strain": ("mass_quadrupole_with_strain", "strain", "mass"), + "current_quadrupole_with_strain": ("current_quadrupole_with_strain", "strain", "current"), + "mass_quadrupole_with_news": ("mass_quadrupole_with_news", "news", "mass"), + "current_quadrupole_with_news": ("current_quadrupole_with_news", "news", "current"), + "mass_quadrupole_with_psi4": ("mass_quadrupole_with_psi4", "psi4", "mass"), + "current_quadrupole_with_psi4": ("current_quadrupole_with_psi4", "psi4", "current"), +} + + class BOB: ''' - A class to construct BOB waveforms. This class is designed to be the one-stop-shop for constructing - BOB waveforms. - - args: - minf_t0 (bool): Whether to use t0 = -infinity - __start_before_tpeak (int): Start time before tpeak - __end_after_tpeak (int): End time after tpeak - t0 (int): Initial time - tp (int): Time of congruence convergence - what_is_BOB_building (str): What BOB is building - l (int): l mode - m (int): m mode - Phi_0 (float): Initial phase - resample_dt (float): Resampling time step - t (numpy.ndarray): Time array - strain_tp (float): Strain at time of congruence convergence - news_tp (float): News at time of congruence convergence - psi4_tp (float): Weyl Scalar at time of congruence convergence - optimize_Omega0 (bool): Whether to optimize Omega0 - optimize_t0_and_Omega0 (bool): Whether to optimize t0 and Omega0 - optimize_t0 (bool): Whether to optimize t0 - fitted_t0 (float): Fitted t0 - fitted_Omega0 (float): Fitted Omega0 - use_strain_for_t0_optimization (bool): Whether to use strain for t0 optimization - use_strain_for_Omega0_optimization (bool): Whether to use strain for Omega0 optimization - fit_failed (bool): Whether the fit failed - NR_based_on_BOB_ts (numpy.ndarray): NR based on BOB timeseries - start_fit_before_tpeak (int): Start time before tpeak for fitting - end_fit_after_tpeak (int): End time after tpeak for fitting - perform_final_time_alignment (bool): Whether to perform final time alignment - perform_final_amplitude_rescaling (bool): Whether to perform final amplitude rescaling - full_strain_data (numpy.ndarray): Full strain data - auto_switch_to_numerical_integration (bool): Whether to automatically switch to numerical integration - __optimize_t0_and_Omega0 (bool): Whether to optimize t0 and Omega0 - __optimize_t0 (bool): Whether to optimize t0 - - ''' - def __init__(self): - ''' - Initializes the BOB object with default values. By default a least squares optimization is performed. - - ''' - self._qnm_data_ready = False - #some default values - self.minf_t0 = True - self.__start_before_tpeak = -75 - self.__end_after_tpeak = 100 - self.t0 = -10 - self.tp = 0 - - self.what_is_BOB_building="Nothing" - self.__what_to_create = "Nothing" - self.l = 2 - self.m = 2 - self.Phi_0 = 0 - self.resample_dt = 0.1 - self.t = np.arange(self.__start_before_tpeak+self.tp,self.__end_after_tpeak+self.tp,self.resample_dt) - self.strain_tp = None - self.news_tp = None - self.psi4_tp = None + Construct Backwards-One-Body waveforms. - #optimization options - #by default a least squares optimization is performed - self.optimize_Omega0 = False + Typical workflow: - self.NR_based_on_BOB_ts = None - self.start_fit_before_tpeak = 0 - self.end_fit_after_tpeak = 100 - self.perform_final_time_alignment=False - self.perform_final_amplitude_rescaling=True + bob = BOB() + bob.initialize_with_sxs_data("SXS:BBH:0305") # or initialize_with_cce_data / initialize_with_NR_mode + bob.what_should_BOB_create = "news" # or "psi4", "strain_using_news", etc. (see valid_choices()) + bob.optimize_Omega0 = True # optional + t, y = bob.construct_BOB() - self.full_strain_data = None + Internally, state is grouped into six dataclasses (see ``gwBOB/_state.py``) + accessed transparently via property delegation: - self.auto_switch_to_numerical_integration = True + - ``_remnant`` : physics constants (mf, chif, Omega_ISCO, Omega_QNM, w_r, tau, l, m, ...) + - ``_data`` : NR waveform timeseries (psi4_data, news_data, strain_data, ...) + - ``_wf_config`` : waveform construction knobs (what_to_create, t0, Phi_0, minf_t0, ...) + - ``_fit_config`` : fit/optimization knobs (optimize_Omega0, optimize_t0, start_fit_before_tpeak, ...) + - ``_runtime`` : derived state recomputed on every mode switch (data, tp, Ap, t, t_tp_tau, ...) + - ``_fit_result`` : fit outputs (fitted_t0, fitted_Omega0, fit_failed) - self.__optimize_t0_and_Omega0 = False - self.__optimize_t0 = False + Every documented public attribute (e.g. ``bob.tp``, ``bob.Omega_0``, ``bob.optimize_Omega0``, + ``bob.fitted_Omega0``) is reachable via a ``@property`` that reads/writes through to the + relevant container. ``__slots__`` is enabled so attribute typos raise ``AttributeError`` + instead of silently creating a new attribute. - self.fitted_t0 = -np.inf - self.fitted_Omega0 = -np.inf + Claude Code: See DESIGN_state_split.md for the architectural rationale. + ''' + __slots__ = ( + "_qnm_data_ready", + "_remnant", + "_data", + "_wf_config", + "_fit_config", + "_runtime", + "_fit_result", + ) - self.use_strain_for_t0_optimization = False - self.use_strain_for_Omega0_optimization = False + def __init__(self): + ''' + Initialize a BOB instance with default state. - #flag to see if a attempted fit failed - self.fit_failed = False + After construction, you typically call one of the ``initialize_with_*`` + methods to load NR data, then set ``what_should_BOB_create`` and any + optimization flags before calling ``construct_BOB``. By default no + optimization is performed (``optimize_Omega0 = False``, + ``optimize_t0 = False``). + ''' + self._qnm_data_ready = False + self._remnant = Remnant() + self._data = DataStore() + self._wf_config = WaveformConfig() + self._fit_config = FitConfig() + self._runtime = RuntimeState() + self._fit_result = FitResult() + self._runtime.t = np.arange( + self._wf_config.start_before_tpeak + self._runtime.tp, + self._wf_config.end_after_tpeak + self._runtime.tp, + self._data.resample_dt, + ) def _ensure_qnm_data_ready(self): ''' @@ -122,11 +134,13 @@ def what_should_BOB_create(self): ''' Returns what BOB should create ''' - return self.__what_to_create + return self._wf_config.what_to_create @what_should_BOB_create.setter - def what_should_BOB_create(self,value): + def what_should_BOB_create(self, value): ''' - This function allows the user to set what BOB should create. Allowed options are "psi4","news","strain_using_news". Additional options exist, but should be used with care. + This function allows the user to set what BOB should create. Allowed options are + "psi4", "news", "strain_using_news". Additional options exist, but should be used + with care. args: value (str): What BOB should create @@ -136,89 +150,79 @@ def what_should_BOB_create(self,value): ''' val = value.lower() self._ensure_qnm_data_ready() - if(val=="psi4" or val=="strain_using_psi4"): - self.__what_to_create = val - self.data = self.psi4_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.psi4_data.abs()) - self.Ap = Ap - self.tp = tp - self.Omega_0 = gen_utils.Omega_0_fit_psi4(self.mf,self.chif_with_sign) - elif(val=="news" or val=="strain_using_news"): - self.__what_to_create = val - self.data = self.news_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.news_data.abs()) - self.Ap = Ap - self.tp = tp - self.Omega_0 = gen_utils.Omega_0_fit_news(self.mf,self.chif_with_sign) - elif(val=="strain"): - logger.warning("WARNING! THIS IS NOT A GOOD WAY TO BUILD THE STRAIN! BOB SHOULD BE BUILT FOR PSI4/NEWS AND CONVERTED TO STRAIN. THIS IS HERE FOR TESTING/COMPLETENESS!") - self.__what_to_create = val - self.data = self.strain_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.strain_data.abs()) - self.Ap = Ap - self.tp = tp - self.Omega_0 = gen_utils.Omega_0_fit_strain(self.mf,self.chif_with_sign) - elif(val=="mass_quadrupole_with_strain" or val=="current_quadrupole_with_strain"): - logger.warning("WARNING! THIS IS NOT A GOOD WAY TO BUILD THE QUADRUPOLE TERMS! BOB SHOULD BE BUILT FOR PSI4/NEWS AND THE QUADRUPOLE QUANTITY SHOULD BE BUILT FROM THESE TERMS. THIS IS HERE FOR TESTING/COMPLETENESS!") - NR_current,NR_mass = self.construct_NR_mass_and_current_quadrupole("strain") - self.mass_quadrupole_data = NR_mass - self.current_quadrupole_data = NR_current - if('mass' in val): - self.__what_to_create = "mass_quadrupole_with_strain" - self.data = self.mass_quadrupole_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.mass_quadrupole_data.abs()) - self.Ap = Ap - self.tp = tp - else: - self.__what_to_create = "current_quadrupole_with_strain" - self.data = self.current_quadrupole_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.current_quadrupole_data.abs()) - self.Ap = Ap - self.tp = self.current_quadrupole_data.time_at_maximum() - elif(val=="mass_quadrupole_with_news" or val=="current_quadrupole_with_news"): - logger.warning("WARNING! THIS IS NOT A GOOD WAY TO BUILD THE QUADRUPOLE TERMS! BOB SHOULD BE BUILT FOR PSI4/NEWS AND THE QUADRUPOLE QUANTITY SHOULD BE BUILT FROM THESE TERMS. THIS IS HERE FOR TESTING/COMPLETENESS!") - NR_current,NR_mass = self.construct_NR_mass_and_current_quadrupole("news") - self.mass_quadrupole_data = NR_mass - self.current_quadrupole_data = NR_current - if('mass' in val): - self.__what_to_create = "mass_quadrupole_with_news" - self.data = self.mass_quadrupole_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.mass_quadrupole_data.abs()) - self.Ap = Ap - self.tp = tp - else: - self.__what_to_create = "current_quadrupole_with_news" - self.data = self.current_quadrupole_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.current_quadrupole_data.abs()) - self.Ap = Ap - self.tp = tp - elif(val=="mass_quadrupole_with_psi4" or val=="current_quadrupole_with_psi4"): - logger.warning("WARNING! THIS IS NOT A GOOD WAY TO BUILD THE QUADRUPOLE TERMS! BOB SHOULD BE BUILT FOR PSI4/NEWS AND THE QUADRUPOLE QUANTITY SHOULD BE BUILT FROM THESE TERMS. THIS IS HERE FOR TESTING/COMPLETENESS!") - NR_current,NR_mass = self.construct_NR_mass_and_current_quadrupole("psi4") - self.mass_quadrupole_data = NR_mass - self.current_quadrupole_data = NR_current - if('mass' in val): - self.__what_to_create = "mass_quadrupole_with_psi4" - self.data = self.mass_quadrupole_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.mass_quadrupole_data.abs()) - self.Ap = Ap - self.tp = tp - else: - self.__what_to_create = "current_quadrupole_with_psi4" - self.data = self.current_quadrupole_data - tp,Ap = gen_utils.get_tp_Ap_from_spline(self.current_quadrupole_data.abs()) - self.Ap = Ap - self.tp = tp + + if val in _SIMPLE_MODES: + self._apply_simple_mode(val) + elif val in _QUADRUPOLE_MODES: + self._apply_quadrupole_mode(val) else: - raise ValueError("Invalid choice for what to create. Valid choices can be obtained by calling get_valid_choices()") - self.t = np.arange(self.__start_before_tpeak+self.tp,self.__end_after_tpeak+self.tp,self.resample_dt) - self.t_tp_tau = (self.t - self.tp)/self.tau - + raise ValueError( + "Invalid choice for what to create. " + "Valid choices can be obtained by calling get_valid_choices()" + ) + + # Common to all modes: recompute the time grid for the new tp. + self._runtime.t = np.arange( + self._wf_config.start_before_tpeak + self._runtime.tp, + self._wf_config.end_after_tpeak + self._runtime.tp, + self._data.resample_dt, + ) + self._runtime.t_tp_tau = (self._runtime.t - self._runtime.tp) / self._remnant.tau + + def _apply_simple_mode(self, val): + '''Internal: handle the simple psi4/news/strain/strain_using_* modes. + + Preserves the exact write order of the pre-refactor cascade so byte-for-byte + regression is unchanged. + ''' + canonical, data_attr, omega_fn, warning = _SIMPLE_MODES[val] + if warning is not None: + logger.warning(warning) + # Order below matches the original setter exactly: + # what_to_create -> runtime.data -> Ap -> tp -> Omega_0 + self._wf_config.what_to_create = canonical + data = getattr(self._data, data_attr) + self._runtime.data = data + tp, Ap = gen_utils.get_tp_Ap_from_spline(data.abs()) + self._runtime.Ap = Ap + self._runtime.tp = tp + self._remnant.Omega_0 = omega_fn(self._remnant.mf, self._remnant.chif_with_sign) + + def _apply_quadrupole_mode(self, val): + '''Internal: handle the six quadrupole modes (mass/current x strain/news/psi4). + + Preserves a documented quirk: ``current_quadrupole_with_strain`` uses the + kuibit ``time_at_maximum()`` method for tp, while every other quadrupole + mode uses ``gen_utils.get_tp_Ap_from_spline``. This asymmetry is kept + exactly to match pre-refactor numerics. + ''' + logger.warning(_QUADRUPOLE_WARNING) + canonical, base_mode, flavor = _QUADRUPOLE_MODES[val] + # Order below matches the original setter exactly: + # construct NR -> store both quadrupoles -> what_to_create -> runtime.data -> Ap -> tp + NR_current, NR_mass = self.construct_NR_mass_and_current_quadrupole(base_mode) + self._data.mass_quadrupole_data = NR_mass + self._data.current_quadrupole_data = NR_current + + self._wf_config.what_to_create = canonical + if flavor == "mass": + data = self._data.mass_quadrupole_data + else: + data = self._data.current_quadrupole_data + self._runtime.data = data + tp, Ap = gen_utils.get_tp_Ap_from_spline(data.abs()) + self._runtime.Ap = Ap + + if val == "current_quadrupole_with_strain": + # Documented quirk preserved verbatim from pre-refactor code. + self._runtime.tp = self._data.current_quadrupole_data.time_at_maximum() + else: + self._runtime.tp = tp + @property def set_initial_time(self): - ''' - ''' - return self.t0 + '''Return the configured initial time t0 (in code units relative to peak).''' + return self._wf_config.t0 @set_initial_time.setter def set_initial_time(self,value): ''' @@ -231,7 +235,7 @@ def set_initial_time(self,value): args: value (tuple or float): Initial time and whether to set the frequency using the strain data ''' - if(self.__what_to_create == "Nothing"): + if(self._wf_config.what_to_create == "Nothing"): raise ValueError("Please specify BOB.what_should_BOB_create first.") if(isinstance(value,tuple)): logger.info("Setting Omega_0 according to the strain data!") @@ -239,44 +243,42 @@ def set_initial_time(self,value): value = value[0] else: set_freq_using_strain_data = False - self.minf_t0 = False - + self._wf_config.minf_t0 = False + if(set_freq_using_strain_data): - freq = gen_utils.get_frequency(self.strain_data) + freq = gen_utils.get_frequency(self._data.strain_data) else: - freq = gen_utils.get_frequency(self.data) - closest_idx = gen_utils.find_nearest_index(freq.t,self.tp+value) + freq = gen_utils.get_frequency(self._runtime.data) + closest_idx = gen_utils.find_nearest_index(freq.t,self._runtime.tp+value) w0 = freq.y[closest_idx] - self.Omega_0 = w0/np.abs(self.m) - self.t0 = self.tp+value - self.t0_tp_tau = (self.t0 - self.tp)/self.tau + self._remnant.Omega_0 = w0/np.abs(self._remnant.m) + self._wf_config.t0 = self._runtime.tp+value + self._runtime.t0_tp_tau = (self._wf_config.t0 - self._runtime.tp)/self._remnant.tau @property def set_start_before_tpeak(self): - ''' - ''' - return self.__start_before_tpeak - + '''Return the configured start time relative to tpeak.''' + return self._wf_config.start_before_tpeak + @set_start_before_tpeak.setter def set_start_before_tpeak(self,value): ''' This function allows the user to set the start time before the peak. The start time is set to the value specified by the user. - + args: value (float): Start time before the peak ''' - self.__start_before_tpeak = value - self.t = np.arange(self.tp + self.__start_before_tpeak,self.tp + self.__end_after_tpeak,self.resample_dt) - self.t_tp_tau = (self.t - self.tp)/self.tau - + self._wf_config.start_before_tpeak = value + self._runtime.t = np.arange(self._runtime.tp + self._wf_config.start_before_tpeak,self._runtime.tp + self._wf_config.end_after_tpeak,self._data.resample_dt) + self._runtime.t_tp_tau = (self._runtime.t - self._runtime.tp)/self._remnant.tau + @property def set_end_after_tpeak(self): - ''' - ''' - return self.__end_after_tpeak - + '''Return the configured end time relative to tpeak.''' + return self._wf_config.end_after_tpeak + @set_end_after_tpeak.setter def set_end_after_tpeak(self,value): ''' @@ -286,97 +288,361 @@ def set_end_after_tpeak(self,value): args: value (float): End time after the peak ''' - self.__end_after_tpeak = value - self.t = np.arange(self.tp + self.__start_before_tpeak,self.tp + self.__end_after_tpeak,self.resample_dt) - self.t_tp_tau = (self.t - self.tp)/self.tau - if(value_phase[_finite_t0]`` + function based on ``what_should_BOB_create`` and ``minf_t0``. + + Note: even in the X_using_Y cases (e.g., strain_using_news), the analytic + news-frequency term is used because the BOB amplitude is constructed to + best describe the news; using the strain frequency for Omega_0 + optimization on these cases would be unphysical. + returns: - Phi (float): Phase of the waveform - Omega (float): Frequency of the waveform + tuple of (np.ndarray, np.ndarray): (Phi, Omega) — phase and angular + frequency arrays evaluated on the time grid ``self.t``. + + Raises: + ValueError: If ``what_should_BOB_create`` is not one of the + supported flavors. ''' #Even in the cases of strain_using_news, we still want to use the news frequency in all of the Omega0 optimizations because the analytical news frequency term #is built assuming the BOB amplitude best describes the news. While in principle, the accuracy could be improved for strain_using_news (and all X_using_Y cases) #by optimizing Omega0 against the NR strain frequency, this would be unphysical. - if('psi4' in self.__what_to_create): + if('psi4' in self._wf_config.what_to_create): if(self.minf_t0 is True): Phi,Omega = BOB_terms.BOB_psi4_phase(self) else: Phi,Omega = BOB_terms.BOB_psi4_phase_finite_t0(self) - elif('news' in self.__what_to_create): + elif('news' in self._wf_config.what_to_create): if(self.minf_t0 is True): Phi,Omega = BOB_terms.BOB_news_phase(self) else: Phi,Omega = BOB_terms.BOB_news_phase_finite_t0(self) - elif('strain' in self.__what_to_create): + elif('strain' in self._wf_config.what_to_create): if(self.minf_t0 is True): Phi,Omega = BOB_terms.BOB_strain_phase(self) else: @@ -386,23 +652,31 @@ def get_correct_Phi_and_Omega(self): return Phi,Omega def fit_omega(self,x,Omega_0): ''' - This function is used to fit the frequency of the waveform to the data. + Optimizer callback for ``fit_Omega0`` — used by ``scipy.optimize.curve_fit``. + + Mutates ``self.Omega_0`` to the trial value, evaluates the analytic BOB + frequency for the currently selected mode, and returns the frequency + array sliced to the fit window. The mutation of ``self.Omega_0`` is a + known fragility (Claude Code: see code_review §2 P9 / DESIGN_stage3.md "Deferred + work"); for now the caller is expected to overwrite ``self.Omega_0`` + with the optimized value after ``curve_fit`` returns. - args: - x (float): Time - Omega_0 (float): Initial frequency - + x (np.ndarray): Time samples (passed by ``curve_fit``; not actually + used inside, since ``self.t`` provides the time grid). + Omega_0 (float): Trial initial angular frequency. + returns: - Omega (float): Frequency of the waveform + np.ndarray: BOB frequency evaluated at ``self.t[start:end]`` for + the configured fit window. ''' #this function can be called if X_using_Y. self.Omega_0 = Omega_0 - if('psi4' in self.__what_to_create): + if('psi4' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_psi4_freq(self) - elif('news' in self.__what_to_create): + elif('news' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_news_freq(self) - elif('strain' in self.__what_to_create): + elif('strain' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_strain_freq(self) else: raise ValueError("Invalid choice for what to create. Valid choices can be obtained by calling get_valid_choices()") @@ -412,15 +686,24 @@ def fit_omega(self,x,Omega_0): return Omega def fit_t0_and_omega(self,x,t0,Omega_0): ''' - This function is used to fit the initial time and frequency of the waveform to the data. + Optimizer callback for joint t0 + Omega_0 fitting via ``curve_fit``. + + Currently UNCALLED: its only caller was the body of ``fit_t0_and_Omega0``, + which was retired in favor of ``raise NotImplementedError``. Kept for + future reuse if joint fitting is reimplemented. + + Mutates ``self.Omega_0``, ``self.t0``, ``self.t0_tp_tau`` to the trial + values. Same impurity caveat as ``fit_omega``. args: - x (float): Time - t0 (float): Initial time - Omega_0 (float): Initial frequency - + x (np.ndarray): Time samples (passed by ``curve_fit``). + t0 (float): Trial initial time. + Omega_0 (float): Trial initial angular frequency. + returns: - Omega (float): Frequency of the waveform + np.ndarray: BOB frequency evaluated on the fit window. On + evaluation failure, returns a flat array of 1e10 to signal a bad + residual to the optimizer. ''' #this function can be called if X_using_Y. self.Omega_0 = Omega_0 @@ -429,11 +712,11 @@ def fit_t0_and_omega(self,x,t0,Omega_0): start_index = gen_utils.find_nearest_index(self.t,self.tp+self.start_fit_before_tpeak) end_index = gen_utils.find_nearest_index(self.t,self.tp+self.end_fit_after_tpeak) try: - if('psi4' in self.__what_to_create): + if('psi4' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_psi4_freq_finite_t0(self) - elif('news' in self.__what_to_create): + elif('news' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_news_freq_finite_t0(self) - elif('strain' in self.__what_to_create): + elif('strain' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_strain_freq_finite_t0(self) else: raise ValueError("Invalid choice for what to create. Valid choices can be obtained by calling get_valid_choices()") @@ -443,15 +726,24 @@ def fit_t0_and_omega(self,x,t0,Omega_0): return Omega[start_index:end_index] def residual_t0_and_omega(self,p,t_freq,y_freq): ''' - This function is used to calculate the residuals of the input data with respect to the BOB waveform. + Optimizer callback for joint t0 + Omega_0 fitting via + ``scipy.optimize.differential_evolution``. + + Currently UNCALLED: its only caller was the body of ``fit_t0_and_Omega0``, + which was retired in favor of ``raise NotImplementedError``. Kept for + future reuse if joint fitting is reimplemented. + + Mutates ``self.Omega_0``, ``self.t0``, ``self.t0_tp_tau`` to the trial + values. Same impurity caveat as the other fit callbacks. args: - p (tuple): Tuple of parameters (t0, Omega_0) - t_freq (array): Time array of the input data - y_freq (array): Frequency array of the input data - + p (tuple of (float, float)): Trial parameters (t0, Omega_0). + t_freq (np.ndarray): Time array of the NR frequency reference. + y_freq (np.ndarray): NR frequency values aligned with ``t_freq``. + returns: - residual (float): Residual of the input data with respect to the BOB waveform + float: Sum of squared residuals between the BOB-predicted and NR + frequencies over the configured fit window. ''' #freq = gen_utils.get_frequency(self.data) freq = kuibit_ts(t_freq,y_freq) @@ -465,11 +757,11 @@ def residual_t0_and_omega(self,p,t_freq,y_freq): start_data_index = gen_utils.find_nearest_index(freq.t,self.tp+self.start_fit_before_tpeak) end_data_index = gen_utils.find_nearest_index(freq.t,self.tp+self.end_fit_after_tpeak) try: - if('psi4' in self.__what_to_create): + if('psi4' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_psi4_freq_finite_t0(self) - elif('news' in self.__what_to_create): + elif('news' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_news_freq_finite_t0(self) - elif('strain' in self.__what_to_create): + elif('strain' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_strain_freq_finite_t0(self) else: raise ValueError("Invalid choice for what to create. Valid choices can be obtained by calling get_valid_choices()") @@ -481,14 +773,21 @@ def residual_t0_and_omega(self,p,t_freq,y_freq): return np.sum((np.array(Omega[start_index:end_index],dtype=np.float64)-np.array(freq.y[start_data_index:end_data_index],dtype=np.float64))**2) def fit_t0_only(self,t00,freq_data): ''' - This function is used to fit the initial time of the waveform to the data. + Optimizer callback for ``fit_t0`` — used by ``scipy.optimize.brute``. + + For each candidate t0, fixes Omega_0 from the NR frequency at that time + and returns the squared residual. Mutates ``self.t0``, ``self.t0_tp_tau``, + ``self.Omega_0`` (same impurity caveat as the other fit callbacks). args: - t00 (float): Initial time - freq_data (object): Frequency data - + t00 (np.ndarray): Single-element array containing the trial t0 + (``brute`` passes parameters as arrays). + freq_data (kuibit_ts): NR (orbital) frequency timeseries — already + divided by ``|m|`` so ``y`` is big Omega. + returns: - res (float): Residual of the input data with respect to the BOB waveform + float: Sum of squared residuals between BOB and NR frequencies on + the configured fit window. ''' #freq data passed in is big Omega, where w = m*Omega self.t0 = t00[0] @@ -499,11 +798,11 @@ def fit_t0_only(self,t00,freq_data): start_data_index = gen_utils.find_nearest_index(freq_data.t,self.tp+self.start_fit_before_tpeak) end_data_index = gen_utils.find_nearest_index(freq_data.t,self.tp+self.end_fit_after_tpeak) try: - if('psi4' in self.__what_to_create): + if('psi4' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_psi4_freq_finite_t0(self) - elif('news' in self.__what_to_create): + elif('news' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_news_freq_finite_t0(self) - elif('strain' in self.__what_to_create): + elif('strain' in self._wf_config.what_to_create): Omega = BOB_terms.BOB_strain_freq_finite_t0(self) else: raise ValueError("Invalid choice for what to create. Valid choices can be obtained by calling get_valid_choices()") @@ -514,24 +813,26 @@ def fit_t0_only(self,t00,freq_data): return res def fit_Omega0(self): ''' - This function is used to fit the initial angular frequency of the QNM (Omega_0) by fitting the frequency - of the data to the QNM frequency. Only works for t0 = -infinity. + Optimize the initial angular frequency Omega_0 by fitting BOB's analytic + frequency to the NR frequency over the configured fit window. Only valid + for the t0 = -infinity flavor. - args: - None - - returns: - None + On success, writes the optimized value to ``self.Omega_0``. + On failure (any exception during ``curve_fit``), sets + ``self.fit_failed = True`` and writes ``self.Omega_0 = self.Omega_ISCO``. + + Side effect: if ``end_fit_after_tpeak`` exceeds ``end_after_tpeak``, the + former is silently lowered to match. (Claude Code: See code_review §2 P5 E9 — flagged + for future cleanup.) + + Raises: + ValueError: If ``minf_t0`` is False (use ``fit_t0`` for finite t0). ''' - """ - Fits the initial angular frequency of the QNM (Omega_0) by fitting the frequency of the data to the QNM frequency. - Only works for t0 = -infinity. - """ if(self.minf_t0 is False): raise ValueError("You are setup for a finite t0 right now. Omega0 fitting is only defined for t0 = infinity.") - if(self.__end_after_tpeakself.data.t[-1]): @@ -1005,7 +1309,7 @@ def construct_BOB(self,N=2): self.NR_based_on_BOB_ts = self.data.resampled(BOB_ts.t) return BOB_ts.t,BOB_ts.y - def initialize_with_sxs_data(self,sxs_id,l=2,m=2,download=True,resample_dt = 0.1,verbose=False,inertial_to_coprecessing_transformation=False): + def initialize_with_sxs_data(self,sxs_id,l=2,m=2,download=True,resample_dt = 0.1,verbose=False,inertial_to_coprecessing_transformation=False,load_all_modes=False): ''' This function is used to initialize the BOB with SXS data. @@ -1017,6 +1321,17 @@ def initialize_with_sxs_data(self,sxs_id,l=2,m=2,download=True,resample_dt = 0.1 resample_dt(float): Resampling time step verbose(bool): Whether to print verbose output inertial_to_coprecessing_transformation(bool): Whether to perform inertial to coprecessing transformation + load_all_modes(bool): If True, retain the full multi-mode interpolated + strain and psi4 arrays so that ``get_psi4_data(l, m)`` / + ``get_news_data(l, m)`` / ``get_strain_data(l, m)`` can return + arbitrary modes after init. Default is False (memory-efficient): + only the requested ``(l, m)`` and ``(l, -m)`` modes are + retained, dropping ~110 MB / BOB instance for SXS:BBH:2325. + Claude Code: See ``MEMORY.md`` for measured costs and parallel-init + implications. Note: even with ``load_all_modes=False``, the + multi-mode interpolation is still performed transiently during + init; reducing the *peak* during init requires a deeper change + tracked in code_review §2. ''' if(m==0): raise ValueError("m=0 case not implemented yet") @@ -1083,16 +1398,23 @@ def initialize_with_sxs_data(self,sxs_id,l=2,m=2,download=True,resample_dt = 0.1 self.news_Ap = Ap self.strain_data = hm - self.full_strain_data = h self.strain_mm_data = hmm self.news_data = newsm self.news_mm_data = newsmm self.psi4_data = psi4m - self.full_psi4_data = psi4 self.psi4_mm_data = psi4mm + # Retain the multi-mode interpolated arrays only if the user asked. + # Claude Code: See docstring above and MEMORY.md for the rationale. + if load_all_modes: + self.full_strain_data = h + self.full_psi4_data = psi4 + else: + self.full_strain_data = None + self.full_psi4_data = None + if(verbose): logger.debug("Mtot = %s", self.M_tot) logger.debug("Mf = %s", self.mf) @@ -1108,7 +1430,7 @@ def initialize_with_sxs_data(self,sxs_id,l=2,m=2,download=True,resample_dt = 0.1 logger.debug("news_Ap = %s", self.news_Ap) logger.debug("psi4_tp = %s", self.psi4_tp) logger.debug("psi4_Ap = %s", self.psi4_Ap) - def initialize_with_cce_data(self,cce_id,l=2,m=2,perform_superrest_transformation=False,inertial_to_coprecessing_transformation=False,provide_own_abd=None,resample_dt = 0.1,verbose=False): + def initialize_with_cce_data(self,cce_id,l=2,m=2,perform_superrest_transformation=False,inertial_to_coprecessing_transformation=False,provide_own_abd=None,resample_dt = 0.1,verbose=False,load_all_modes=False): ''' This function is used to initialize the BOB with CCE data. @@ -1121,6 +1443,11 @@ def initialize_with_cce_data(self,cce_id,l=2,m=2,perform_superrest_transformatio provide_own_abd(scri.Abd): Use a user passed in scri abd object (maybe useful if the user has specific pre-processing requirements) resample_dt(float): Resampling time step verbose(bool): Whether to print verbose output + load_all_modes(bool): If True, retain the full multi-mode interpolated + strain and psi4 arrays so that ``get_*_data(l, m)`` can return + arbitrary modes after init. Default is False (memory-efficient): + only the requested ``(l, m)`` and ``(l, -m)`` modes are + retained. Claude Code: See ``MEMORY.md`` for measurements. ''' if(m==0): raise ValueError("m=0 case not implemented yet") @@ -1218,8 +1545,14 @@ def initialize_with_cce_data(self,cce_id,l=2,m=2,perform_superrest_transformatio self.psi4_tp = tp self.psi4_Ap = Ap - self.full_strain_data = h - self.full_psi4_data = psi4 + # Retain the multi-mode interpolated arrays only if the user asked. + # Claude Code: See docstring above and MEMORY.md for the rationale. + if load_all_modes: + self.full_strain_data = h + self.full_psi4_data = psi4 + else: + self.full_strain_data = None + self.full_psi4_data = None self.strain_data = hm self.news_data = newsm self.psi4_data = psi4m @@ -1335,73 +1668,91 @@ def initialize_with_NR_mode(self,t_NR,y_psi4,y_strain,mf,chif,l=2,m=2,w_r = -1,t logger.debug("news_Ap = %s", self.news_Ap) logger.debug("psi4_tp = %s", self.psi4_tp) logger.debug("psi4_Ap = %s", self.psi4_Ap) + def _resolve_lm(self, kwargs): + '''Return ``(l, m)`` from ``kwargs``, falling back to ``self.l`` / ``self.m``.''' + l = kwargs.get('l', self.l) + m = kwargs.get('m', self.m) + return l, m + + def _no_full_data_error(self, kind, l, m): + return AttributeError( + f"get_{kind}_data(l={l}, m={m}) is unavailable: full multi-mode data " + "was not retained at init. Re-initialize with load_all_modes=True " + "(memory-heavy — see MEMORY.md) to access non-default (l, m) modes." + ) + def get_psi4_data(self,**kwargs): ''' - This function is used to get the NR psi4 data. - By default it will return the (l,m) mode specified during BOB initialization but l & m can be specified by the user. - - args: - l(int): Mode number - m(int): Mode number - + Return the NR psi4 timeseries for an arbitrary (l, m) mode. + + Defaults to the (l, m) mode specified during initialization. Pass + ``l=...`` and/or ``m=...`` as keyword arguments to retrieve a different + mode. + + With ``load_all_modes=False`` at init (the default), only the requested + ``(l, m)`` and ``(l, -m)`` modes are stored — calls for other modes + raise ``AttributeError``. Pass ``load_all_modes=True`` to + ``initialize_with_*`` if you need arbitrary mode access (uses much more + memory). After ``initialize_with_NR_mode``, only the single mode passed + in is ever available. + + kwargs: + l (int): l index (defaults to ``self.l``). + m (int): m index (defaults to ``self.m``). + returns: - t(array): time array of NR psi4 data - y(array): data array of NR psi4 data + tuple of (np.ndarray, np.ndarray): (t, y) of the requested psi4 mode. ''' - if('l' in kwargs): - l = kwargs['l'] - else: - l = self.l - if('m' in kwargs): - m = kwargs['m'] - else: - m = self.m + l, m = self._resolve_lm(kwargs) + if self.full_psi4_data is None: + if (l, m) == (self.l, self.m): return self.psi4_data.t, self.psi4_data.y + if (l, m) == (self.l, -self.m): return self.psi4_mm_data.t, self.psi4_mm_data.y + raise self._no_full_data_error("psi4", l, m) temp_ts = gen_utils.get_kuibit_lm_psi4(self.full_psi4_data,l,m) return temp_ts.t,temp_ts.y + def get_news_data(self,**kwargs): ''' - This function is used to get the NR news data. - By default it will return the (l,m) mode specified during BOB initialization but l & m can be specified by the user. - - args: - l(int): Mode number - m(int): Mode number - + Return the NR news timeseries (computed as d/dt of the strain) for an + arbitrary (l, m) mode. + + Same restrictions as ``get_psi4_data``: only the requested ``(l, m)`` + and ``(l, -m)`` modes are available unless ``load_all_modes=True`` at init. + + kwargs: + l (int): l index (defaults to ``self.l``). + m (int): m index (defaults to ``self.m``). + returns: - t(array): time array of NR news data - y(array): data array of NR news data + tuple of (np.ndarray, np.ndarray): (t, y) of the requested news mode. ''' - if('l' in kwargs): - l = kwargs['l'] - else: - l = self.l - if('m' in kwargs): - m = kwargs['m'] - else: - m = self.m + l, m = self._resolve_lm(kwargs) + if self.full_strain_data is None: + if (l, m) == (self.l, self.m): return self.news_data.t, self.news_data.y + if (l, m) == (self.l, -self.m): return self.news_mm_data.t, self.news_mm_data.y + raise self._no_full_data_error("news", l, m) temp_ts = gen_utils.get_kuibit_lm(self.full_strain_data,l,m).spline_differentiated(1) return temp_ts.t,temp_ts.y + def get_strain_data(self,**kwargs): ''' - This function is used to get the NR strain data. - By default it will return the (l,m) mode specified during BOB initialization but l & m can be specified by the user. - - args: - l(int): Mode number - m(int): Mode number - + Return the NR strain timeseries for an arbitrary (l, m) mode. + + Same restrictions as ``get_psi4_data``: only the requested ``(l, m)`` + and ``(l, -m)`` modes are available unless ``load_all_modes=True`` at init. + + kwargs: + l (int): l index (defaults to ``self.l``). + m (int): m index (defaults to ``self.m``). + returns: - t(array): time array of NR strain data - y(array): data array of NR strain data + tuple of (np.ndarray, np.ndarray): (t, y) of the requested strain mode. ''' - if('l' in kwargs): - l = kwargs['l'] - else: - l = self.l - if('m' in kwargs): - m = kwargs['m'] - else: - m = self.m + l, m = self._resolve_lm(kwargs) + if self.full_strain_data is None: + if (l, m) == (self.l, self.m): return self.strain_data.t, self.strain_data.y + if (l, m) == (self.l, -self.m): return self.strain_mm_data.t, self.strain_mm_data.y + raise self._no_full_data_error("strain", l, m) temp_ts = gen_utils.get_kuibit_lm(self.full_strain_data,l,m) return temp_ts.t,temp_ts.y #convenience class for template generation diff --git a/gwBOB/_construct.py b/gwBOB/_construct.py new file mode 100644 index 0000000..fef6169 --- /dev/null +++ b/gwBOB/_construct.py @@ -0,0 +1,75 @@ +""" +Pure-ish builders for BOB construction. + +These functions take a ``bob``-shaped object (any object exposing the BOB +attributes — currently a ``BOB`` instance) and return a kuibit timeseries. +They do not write to ``bob`` themselves. + +Note: ``convert_to_strain_using_series.*`` may mutate ``bob.t`` internally; +that historical behavior is preserved unchanged. Cleanup hacks at the end of +the wrapper methods on ``BOB`` (e.g., resetting ``Phi_0`` and ``Omega_0``) +remain in those wrappers for backwards-compatibility. + +Claude Code: See DESIGN_stage3.md for context. +""" + +from __future__ import annotations + +import numpy as np +from kuibit.timeseries import TimeSeries as kuibit_ts + +from gwBOB import BOB_terms +from gwBOB import convert_to_strain_using_series + + +def build_finite_t0(bob, what: str, N: int): + """Build a BOB timeseries for the finite-t0 path. + + Pre-condition: ``bob.t0``, ``bob.Omega_0``, ``bob.t``, etc. are already + populated to the values that should drive this construction (the caller + is responsible for running any optimization first). + + Post-condition: the returned ``kuibit_ts`` is the BOB waveform. ``bob`` + is not written to by this function (the strain integration helpers it + delegates to may still write to ``bob.t`` — that behavior is preserved + from the pre-refactor implementation). + """ + Phi, Omega = bob.get_correct_Phi_and_Omega() + phase = np.abs(bob.m) * Phi + + amp = BOB_terms.BOB_amplitude(bob) + BOB_ts = kuibit_ts(bob.t, amp * np.exp(-1j * np.sign(bob.m) * phase)) + + if what == "strain_using_news": + t, y = convert_to_strain_using_series.generate_strain_from_news_using_series_finite_t0(bob, N) + BOB_ts = kuibit_ts(t, y) + elif what == "strain_using_psi4": + t, y = convert_to_strain_using_series.generate_strain_from_psi4_using_series_finite_t0(bob, N) + BOB_ts = kuibit_ts(t, y) + + return BOB_ts + + +def build_minf_t0(bob, what: str, N: int): + """Build a BOB timeseries for the minf_t0 (t0 = -infinity) path. + + Pre-condition: ``bob.Omega_0``, ``bob.t``, etc. are already populated to + the values that should drive this construction (the caller is responsible + for running any optimization first). + + Post-condition: the returned ``kuibit_ts`` is the BOB waveform. The + ``convert_to_strain_using_series.*`` helpers may mutate ``bob.t`` + internally; the caller (``BOB.construct_BOB_minf_t0``) restores it + afterwards. + """ + if what == "strain_using_news": + t, y = convert_to_strain_using_series.generate_strain_from_news_using_series(bob, N) + return kuibit_ts(t, y) + elif what == "strain_using_psi4": + t, y = convert_to_strain_using_series.generate_strain_from_psi4_using_series(bob, N) + return kuibit_ts(t, y) + else: + Phi, Omega = bob.get_correct_Phi_and_Omega() + phase = np.abs(bob.m) * Phi + amp = BOB_terms.BOB_amplitude(bob) + return kuibit_ts(bob.t, amp * np.exp(-1j * np.sign(bob.m) * phase)) diff --git a/gwBOB/_state.py b/gwBOB/_state.py new file mode 100644 index 0000000..108a4a1 --- /dev/null +++ b/gwBOB/_state.py @@ -0,0 +1,112 @@ +""" +Internal state containers for the BOB class. + +These dataclasses group BOB's instance attributes by concern. They are not +part of the public API in this release — the BOB class delegates property +reads/writes to them internally. All dataclasses use ``slots=True`` so that +assigning to an undeclared field raises ``AttributeError``. + +Claude Code: See DESIGN_state_split.md for the architectural rationale and migration plan. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Any, Optional + +import numpy as np + + +@dataclass(slots=True) +class Remnant: + """Physics constants describing the remnant black hole. + + Populated during ``BOB.initialize_with_*``. Treated as immutable after + initialization, with documented exceptions (``Omega_0``, ``tau``, ``w_r``, + ``Omega_QNM``) that users may override manually per the quickstart. + """ + mf: Optional[float] = None + chif: Any = None + chif_with_sign: Optional[float] = None + M_tot: Optional[float] = None + Omega_ISCO: Optional[float] = None + Omega_QNM: Optional[float] = None + Omega_0: Optional[float] = None + w_r: Optional[float] = None + tau: Optional[float] = None + l: int = 2 + m: int = 2 + metadata: Any = None + sxs_id: Optional[str] = None + + +@dataclass(slots=True) +class DataStore: + """NR waveform data loaded during ``BOB.initialize_with_*``.""" + strain_data: Any = None + news_data: Any = None + psi4_data: Any = None + strain_mm_data: Any = None + news_mm_data: Any = None + psi4_mm_data: Any = None + full_strain_data: Any = None + full_psi4_data: Any = None + strain_tp: Optional[float] = None + news_tp: Optional[float] = None + psi4_tp: Optional[float] = None + strain_Ap: Optional[float] = None + news_Ap: Optional[float] = None + psi4_Ap: Optional[float] = None + h_L2_norm_tp: Optional[float] = None + strain_wm: Any = None + strain_scri_wm: Any = None + mass_quadrupole_data: Any = None + current_quadrupole_data: Any = None + resample_dt: float = 0.1 + + +@dataclass(slots=True) +class WaveformConfig: + """User-facing knobs that control what BOB constructs.""" + what_to_create: str = "Nothing" + what_is_BOB_building: str = "Nothing" + minf_t0: bool = True + t0: float = -10.0 + Phi_0: float = 0.0 + start_before_tpeak: float = -75.0 + end_after_tpeak: float = 100.0 + + +@dataclass(slots=True) +class FitConfig: + """User-facing knobs controlling the fit/optimization step.""" + optimize_Omega0: bool = False + optimize_t0_and_Omega0: bool = False + optimize_t0: bool = False + start_fit_before_tpeak: float = 0.0 + end_fit_after_tpeak: float = 100.0 + use_strain_for_t0_optimization: bool = False + use_strain_for_Omega0_optimization: bool = False + auto_switch_to_numerical_integration: bool = True + perform_final_time_alignment: bool = False + perform_final_amplitude_rescaling: bool = True + + +@dataclass(slots=True) +class RuntimeState: + """Derived state recomputed each time the waveform mode changes.""" + data: Any = None + tp: float = 0.0 + Ap: Optional[float] = None + t: Optional[np.ndarray] = None + t_tp_tau: Optional[np.ndarray] = None + t0_tp_tau: Optional[np.ndarray] = None + NR_based_on_BOB_ts: Any = None + + +@dataclass(slots=True) +class FitResult: + """Outputs of the fit/optimization step.""" + fitted_t0: float = -np.inf + fitted_Omega0: float = -np.inf + fit_failed: bool = False diff --git a/gwBOB/mismatch_utils.py b/gwBOB/mismatch_utils.py index e6b1fac..3de2f10 100644 --- a/gwBOB/mismatch_utils.py +++ b/gwBOB/mismatch_utils.py @@ -13,8 +13,6 @@ from functools import partial from jax import jit,vmap import jax.numpy as jnp -#uncomment if we want to use cubic spline integration -#import interpax from jax import debug #jax.config.update("jax_log_compiles", True) diff --git a/pyproject.toml b/pyproject.toml index 5126c61..9b6f601 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -30,7 +30,39 @@ docs = [ "sphinx-copybutton", "sphinx-design", ] -tests = ["pytest"] +tests = ["pytest", "pytest-cov"] + +[tool.pytest.ini_options] +# By default, skip the heavy byte-for-byte regression baseline tests. +# Run them explicitly with: pytest -m regression_baseline +addopts = "-m 'not regression_baseline'" +markers = [ + "integration: tests that require SXS/CCE data and are slow", + "slow: tests that take more than a few seconds", + "regression_baseline: byte-for-byte regression baselines from Stage 2 / 3 refactors. Memory-heavy; opt-in via -m regression_baseline.", +] + +[tool.coverage.run] +source = ["gwBOB"] +omit = [ + # Skip JAX-accelerated path; not exercised by current tests + "gwBOB/BOB_terms_jax.py", + # Top-level only contains imports + enable_output() + "gwBOB/__init__.py", + # ASCII-art helpers; cosmetic + "gwBOB/ascii_funcs.py", +] + +[tool.coverage.report] +# Make uncovered branches visible +show_missing = true +skip_covered = false +# Lines that are intentionally not counted (e.g. defensive imports) +exclude_lines = [ + "pragma: no cover", + "raise NotImplementedError", + "if __name__ == .__main__.:", +] [project.urls] Homepage = "https://github.com/AnujKankani/BackwardsOneBody" diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..fa8074e --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,342 @@ +""" +Shared pytest configuration and fixtures for the gwBOB test suite. + +Path resolution and SXS cache configuration are centralized here so individual +test modules don't have to reach for ``sys.path`` hacks or hard-coded ``./tests`` +prefixes. Adding a new test module just needs to import a fixture by name. + +Claude Code: See ``DESIGN_test_refactor.md`` for the design rationale. +""" + +from __future__ import annotations + +import os +from pathlib import Path + +import pytest + + +# --------------------------------------------------------------------------- +# Path fixtures +# +# All paths are resolved relative to the directory containing this file +# (``tests/``). Tests work regardless of the current working directory. +# --------------------------------------------------------------------------- + +@pytest.fixture(scope="session") +def tests_dir() -> Path: + """Absolute path to the ``tests/`` directory.""" + return Path(__file__).resolve().parent + + +@pytest.fixture(scope="session") +def trusted_outputs_dir(tests_dir: Path) -> Path: + """Absolute path to ``tests/trusted_outputs/`` (reference NPZ files).""" + return tests_dir / "trusted_outputs" + + +@pytest.fixture(scope="session") +def sxs_cache_dir(tests_dir: Path) -> Path: + """Absolute path to ``tests/sxs_cache/`` (cached SXS / CCE simulation data).""" + return tests_dir / "sxs_cache" + + +# --------------------------------------------------------------------------- +# SXS cache configuration +# +# The ``sxs`` package reads ``SXSCACHEDIR`` / ``SXSCONFIGDIR`` env vars at +# import time to decide where to look for cached simulations. Set them once, +# session-wide, before any test imports ``sxs``. +# --------------------------------------------------------------------------- + +@pytest.fixture(scope="session", autouse=True) +def _configure_sxs_cache(sxs_cache_dir: Path) -> None: + """Auto-applied: point the ``sxs`` package at our committed test cache.""" + # ``setdefault`` preserves any value the user explicitly set in their shell + # (e.g., when running locally outside of pytest's CI invocation). + os.environ.setdefault("SXSCACHEDIR", str(sxs_cache_dir)) + os.environ.setdefault("SXSCONFIGDIR", str(sxs_cache_dir)) + + +# --------------------------------------------------------------------------- +# Conditional skips for missing test data +# +# Some test data (notably the cce9 CCE simulation files) is large and may not +# always be present locally. Tests that require it can request these fixtures +# and skip cleanly when the data is missing. +# --------------------------------------------------------------------------- + +@pytest.fixture(scope="session") +def cce9_available(sxs_cache_dir: Path) -> bool: + """True iff the cce9 simulation files are present.""" + required = [ + "cce9/rhOverM_BondiCce_R0270.h5", + "cce9/rMPsi4_BondiCce_R0270.h5", + "cce9/r2Psi3_BondiCce_R0270.h5", + "cce9/r3Psi2OverM_BondiCce_R0270.h5", + "cce9/r4Psi1OverM2_BondiCce_R0270.h5", + "cce9/r5Psi0OverM3_BondiCce_R0270.h5", + ] + return all((sxs_cache_dir / p).exists() for p in required) + + +@pytest.fixture(scope="session") +def sxs_bbh_2325_available(sxs_cache_dir: Path) -> bool: + """True iff the SXS:BBH:2325 simulation files are present.""" + return (sxs_cache_dir / "SXS:BBH:2325v3.0").is_dir() + + +# --------------------------------------------------------------------------- +# Helper: load a numpy reference file with a context manager (closes the +# file descriptor as soon as the dict is built). +# --------------------------------------------------------------------------- + +def load_npz_dict(path: Path) -> dict: + """Load all arrays from an NPZ file into a plain dict. + + Uses a context manager so the underlying file descriptor is closed + promptly (addresses code review §4 P3 E9). + """ + import numpy as np + with np.load(path) as data: + return {key: data[key] for key in data.files} + + +# --------------------------------------------------------------------------- +# Synthetic fixtures for unit tests (T4 of test refactor) +# +# These let unit tests exercise gwBOB internals without loading any NR data. +# They're deliberately minimal: just enough surface area to satisfy the +# function-under-test, with deterministic values so reference outputs can be +# computed by hand or from documented analytic formulas. +# --------------------------------------------------------------------------- + +class _MockMultiModeStrain: + """Minimal stand-in for ``sxs.WaveformModes`` (strain-style attribute access). + + Supports the API that ``gen_utils.get_kuibit_lm`` uses: + - ``w.t`` : 1D time array + - ``w.data`` : 2D complex array (n_samples, n_modes) + - ``w.index(l, m)`` : column index for the (l, m) mode + """ + def __init__(self, t, data, lm_to_index): + import numpy as np + self.t = np.asarray(t) + self.data = np.asarray(data) + self._lm_to_index = dict(lm_to_index) + + def index(self, l, m): + return self._lm_to_index[(int(l), int(m))] + + +class _MockMultiModePsi4Slice: + """Slice helper used by ``_MockMultiModePsi4`` — exposes ``.ndarray``.""" + def __init__(self, arr): + self.ndarray = arr + + +class _MockMultiModePsi4: + """Minimal stand-in for the psi4 attribute-access pattern. + + Supports the API that ``gen_utils.get_kuibit_lm_psi4`` uses: + - ``w.t`` : 1D time array + - ``w.index(l, m)`` : column index for the (l, m) mode + - ``w[:, idx].ndarray`` : 1D array of mode values + """ + def __init__(self, t, data, lm_to_index): + import numpy as np + self.t = np.asarray(t) + self._data = np.asarray(data) + self._lm_to_index = dict(lm_to_index) + + def index(self, l, m): + return self._lm_to_index[(int(l), int(m))] + + def __getitem__(self, key): + return _MockMultiModePsi4Slice(self._data[key]) + + +@pytest.fixture +def synthetic_t(): + """A regular time grid: ``np.arange(-50, 50, 0.1)``.""" + import numpy as np + return np.arange(-50.0, 50.0, 0.1) + + +@pytest.fixture +def synthetic_kuibit_ts(synthetic_t): + """A complex timeseries with a known constant angular frequency. + + Encodes ``y(t) = exp(-i * omega * t)`` with ``omega = 0.2``. Useful for + asserting that frequency / phase extraction recover the encoded value. + """ + from kuibit.timeseries import TimeSeries as kuibit_ts + import numpy as np + omega = 0.2 + y = np.exp(-1j * omega * synthetic_t) + ts = kuibit_ts(synthetic_t, y) + ts._encoded_omega = omega # so tests can refer back to the truth + return ts + + +@pytest.fixture +def synthetic_multimode_strain(): + """A small multi-mode strain-like object with deterministic per-mode data. + + 3 samples in time, 4 (l, m) modes — kept tiny so reference outputs are + obvious. Mode (l, m) at sample i has value ``i + 100*l + m`` (real), + ``-i - 100*l - m`` (imag) — so we can identify which column a slice came + from by inspection. + """ + import numpy as np + t = np.array([0.0, 1.0, 2.0]) + lm_to_index = {(2, 2): 0, (2, -2): 1, (3, 3): 2, (3, -3): 3} + n_samples, n_modes = len(t), len(lm_to_index) + data = np.zeros((n_samples, n_modes), dtype=np.complex128) + for (l, m), idx in lm_to_index.items(): + for i in range(n_samples): + data[i, idx] = (i + 100 * l + m) - 1j * (i + 100 * l + m) + return _MockMultiModeStrain(t, data, lm_to_index) + + +@pytest.fixture +def synthetic_multimode_psi4(synthetic_multimode_strain): + """A psi4-style multi-mode object with the same shape/data as the strain + fixture. Differs only in attribute-access pattern (``w[:, idx].ndarray``).""" + return _MockMultiModePsi4( + synthetic_multimode_strain.t, + synthetic_multimode_strain.data, + synthetic_multimode_strain._lm_to_index, + ) + + +@pytest.fixture +def synthetic_bob(): + """A ``SimpleNamespace`` mimicking the attribute surface of a ``BOB`` + instance — just enough for ``BOB_terms.*`` to read. + + Designed for: ``Omega_0 < Omega_QNM`` (always true for physical remnants), + ``tau > 0``, peak time ``tp = 0`` so ``t_tp_tau = t / tau``. + + The defaults below are arbitrary-but-physical: representative for a + near-equal-mass BBH remnant. + """ + from types import SimpleNamespace + import numpy as np + + Omega_0 = 0.15 + Omega_QNM = 0.4 + Phi_0 = 0.0 + tau = 10.0 + tp = 0.0 + t0 = -10.0 + Ap = 0.1 + m = 2 + + # Wide, symmetric window so asymptotic tests have plenty of "tail" on + # both sides: |t / tau| reaches 10 at the edges, and tanh(±10) ≈ ±1 to + # ~9 decimal places, so the asymptotic frequency limits are essentially + # exact. ``linspace`` (vs ``arange``) guarantees an odd-length symmetric + # grid with t = 0 exactly at the centre. + t = np.linspace(-100.0, 100.0, 2001) + t_tp_tau = (t - tp) / tau + t0_tp_tau = (t0 - tp) / tau + + return SimpleNamespace( + Omega_0=Omega_0, Omega_QNM=Omega_QNM, Phi_0=Phi_0, + tau=tau, tp=tp, t0=t0, + Ap=Ap, m=m, + t=t, t_tp_tau=t_tp_tau, t0_tp_tau=t0_tp_tau, + # Some BOB_terms.* finite_t0 phase functions try the analytic form + # and, on ValueError, consult ``auto_switch_to_numerical_integration`` + # before deciding whether to fall back to a numerical antiderivative. + # Real ``BOB`` instances default this to True. + auto_switch_to_numerical_integration=True, + ) + + +@pytest.fixture +def synthetic_bob_finite(synthetic_bob): + """A bob whose time grid starts AT ``t0`` and extends far into ``t >> tp``. + + This is the valid range for finite-t0 BOB_terms formulas: at ``t < t0``, + psi4_finite_t0 produces a negative radicand (raises) and + news/strain_finite_t0 produce unphysical values. Use this fixture for any + test of the ``BOB_*_finite_t0`` family. + """ + from types import SimpleNamespace + import numpy as np + + t0 = synthetic_bob.t0 + tp = synthetic_bob.tp + tau = synthetic_bob.tau + # Range [t0, t0 + 110] — covers t = t0 plus a long tail well past tp. + t = np.linspace(t0, t0 + 110.0, 1101) + return SimpleNamespace( + Omega_0=synthetic_bob.Omega_0, + Omega_QNM=synthetic_bob.Omega_QNM, + Phi_0=synthetic_bob.Phi_0, + tau=tau, tp=tp, t0=t0, + Ap=synthetic_bob.Ap, m=synthetic_bob.m, + t=t, + t_tp_tau=(t - tp) / tau, + t0_tp_tau=(t0 - tp) / tau, + auto_switch_to_numerical_integration=True, + ) + + +# --------------------------------------------------------------------------- +# Domain fixtures +# +# Heavyweight fixtures that load real NR data. Tests that need them request +# them by name; the fixtures skip cleanly when the underlying data files are +# not on disk. +# --------------------------------------------------------------------------- + +@pytest.fixture(scope="session") +def BOB_cce(sxs_cache_dir: Path, cce9_available: bool): + """A session-scoped BOB initialized from cached cce9 CCE data. + + Skips cleanly if any of the cce9 simulation files are missing. + """ + if not cce9_available: + pytest.skip("cce9 simulation files not present in tests/sxs_cache/cce9/") + + # Imports are local so test collection works even when scri / kuibit are + # missing or import-slow on a stripped CI image. + import scri + from gwBOB import BOB_utils + + cce9 = sxs_cache_dir / "cce9" + wf_paths = { + "h": str(cce9 / "rhOverM_BondiCce_R0270.h5"), + "Psi4": str(cce9 / "rMPsi4_BondiCce_R0270.h5"), + "Psi3": str(cce9 / "r2Psi3_BondiCce_R0270.h5"), + "Psi2": str(cce9 / "r3Psi2OverM_BondiCce_R0270.h5"), + "Psi1": str(cce9 / "r4Psi1OverM2_BondiCce_R0270.h5"), + "Psi0": str(cce9 / "r5Psi0OverM3_BondiCce_R0270.h5"), + } + + abd = scri.SpEC.create_abd_from_h5(file_format="RPDMB", **wf_paths) + bob = BOB_utils.BOB() + bob.initialize_with_cce_data(-1, provide_own_abd=abd, l=2, m=-2) + return bob + + +@pytest.fixture(scope="session") +def initial_sxs_bob_2325(sxs_bbh_2325_available): + """A BOB initialized with SXS:BBH:2325 — loaded ONCE per test session. + + Tests that need fresh state should ``copy.deepcopy()`` this fixture + rather than calling ``initialize_with_sxs_data`` themselves; loading + the SXS waveform is expensive (~50 MB allocations) and doing it many + times in one process exhausts memory in constrained environments + such as WSL. Claude Code: See CLAUDE.md "Memory awareness". + """ + if not sxs_bbh_2325_available: + pytest.skip("SXS:BBH:2325 cache not present in tests/sxs_cache/") + + from gwBOB import BOB_utils + bob = BOB_utils.BOB() + bob.initialize_with_sxs_data("SXS:BBH:2325", l=2, m=2, download=False) + return bob diff --git a/tests/fetch_data.py b/tests/fetch_data.py new file mode 100644 index 0000000..0612f6f --- /dev/null +++ b/tests/fetch_data.py @@ -0,0 +1,165 @@ +""" +Download the SXS and CCE waveform data required by gwBOB's integration tests. + +The unit tests in ``tests/unit/`` need no external data and run without this +script. The integration tests, regression baselines, and trusted-output +comparisons in ``tests/integration/`` need: + + - SXS:BBH:2325 (extrapolated waveforms from the SXS catalog) — fetched + via the ``sxs`` package with ``SXSCACHEDIR`` pointed at ``tests/sxs_cache/``. + - SXS:BBH_ExtCCE:0009 (the "cce9" simulation) — fetched directly from the + Zenodo record (10.5281/zenodo.10783596) via ``urlretrieve``. Only the + six ``Lev5:*_BondiCce_R0270.h5`` files plus their JSON sidecars are + pulled; that's everything ``BOB.initialize_with_cce_data`` consumes. + +Run it once after cloning:: + + cd BackwardsOneBody/ + python tests/fetch_data.py + +The script is idempotent — re-running with the cache already populated is +a quick no-op. Total download is ~90 MB. +""" + +from __future__ import annotations + +import os +import sys +from pathlib import Path +from urllib.request import urlretrieve + + +TESTS_DIR = Path(__file__).resolve().parent +CACHE_DIR = TESTS_DIR / "sxs_cache" + +SXS_BBH_ID = "SXS:BBH:2325" +CCE_ZENODO_RECORD = "10783596" +CCE_LEVEL = 5 +CCE_RADIUS = 270 +CCE_SIM_NAME = "SXS:BBH_ExtCCE:0009" +CCE_LOCAL_DIRNAME = "cce9" + +# Match the ordering / filenames used by ``qnmfits.cce`` so existing test +# fixtures find the data at the expected paths. +CCE_WAVEFORM_TYPES = ( + "rhOverM", + "rMPsi4", + "r2Psi3", + "r3Psi2OverM", + "r4Psi1OverM2", + "r5Psi0OverM3", +) + + +def _download_if_missing(url: str, dest: Path) -> bool: + """Download ``url`` to ``dest`` unless the file already exists. + + Returns True if a download happened, False if the file was already cached. + """ + if dest.is_file() and dest.stat().st_size > 0: + return False + dest.parent.mkdir(parents=True, exist_ok=True) + print(f" downloading {dest.name} ...", flush=True) + tmp = dest.with_suffix(dest.suffix + ".part") + try: + urlretrieve(url, tmp) + tmp.rename(dest) + except BaseException: + # Don't leave a half-written .part file behind on Ctrl-C / network error. + if tmp.exists(): + tmp.unlink() + raise + return True + + +def fetch_sxs_bbh_2325() -> None: + """Populate ``tests/sxs_cache/`` with SXS:BBH:2325 via the ``sxs`` package. + + ``sxs.load`` honors ``SXSCACHEDIR`` so the data lands inside the test + cache rather than the user's home directory. With ``download=True`` it + is a no-op when the simulation is already present. + """ + print(f"[1/2] SXS catalog: {SXS_BBH_ID}") + os.environ["SXSCACHEDIR"] = str(CACHE_DIR) + os.environ["SXSCONFIGDIR"] = str(CACHE_DIR) + CACHE_DIR.mkdir(parents=True, exist_ok=True) + + import sxs + + # The cache may contain a config.json with ``{"download": false}`` (set by + # tests that want offline behavior). That setting overrides the + # ``download=True`` kwarg on lazy property accesses below, so flip it + # while we fetch and restore on the way out. + try: + prior_download = sxs.read_config("download", True) + except Exception: + prior_download = True + sxs.write_config(download=True) + try: + sim = sxs.load(SXS_BBH_ID, download=True) + # ``sxs.load`` is lazy — it only downloads each file when its + # property is first accessed. Force-fetch the two waveform files + # the integration tests use: ``sim.h`` pulls Lev3:Strain_N2.{h5,json} + # and ``sim.psi4`` pulls Lev3:ExtraWaveforms.{h5,json}. Skipping + # psi4 caused CI to fail with "ExtraWaveforms.json not found and + # download is disabled" once the test reached ``sim.psi4``. + _ = sim.h + _ = sim.psi4 + finally: + sxs.write_config(download=prior_download) + print(f" cached at {CACHE_DIR}/SXS:BBH:2325v*/") + + +def fetch_cce9() -> None: + """Download the cce9 (``SXS:BBH_ExtCCE:0009``) waveform files from Zenodo. + + Replicates the URL pattern used by ``qnmfits.cce.load`` so the resulting + layout matches what the ``BOB_cce`` fixture expects, but writes directly + to ``tests/sxs_cache/cce9/`` instead of the qnmfits package directory. + """ + print(f"[2/2] Zenodo record {CCE_ZENODO_RECORD}: {CCE_SIM_NAME} (Lev{CCE_LEVEL})") + base_url = f"https://zenodo.org/records/{CCE_ZENODO_RECORD}/files" + dest_dir = CACHE_DIR / CCE_LOCAL_DIRNAME + dest_dir.mkdir(parents=True, exist_ok=True) + + metadata_dest = dest_dir / "metadata.json" + # Note: Zenodo serves metadata.json under ``Lev{level}/metadata.json`` + # (with a slash) while H5 + sidecar JSON files use ``Lev{level}:`` + # (with a colon). This mirrors the URL pattern in qnmfits.cce.load. + metadata_url = f"{base_url}/Lev{CCE_LEVEL}/metadata.json?download=1" + downloaded_metadata = _download_if_missing(metadata_url, metadata_dest) + + n_downloaded = int(downloaded_metadata) + for wf in CCE_WAVEFORM_TYPES: + h5_name = f"{wf}_BondiCce_R{CCE_RADIUS:04d}.h5" + json_name = f"{wf}_BondiCce_R{CCE_RADIUS:04d}.json" + h5_url = f"{base_url}/Lev{CCE_LEVEL}:{h5_name}?download=1" + json_url = f"{base_url}/Lev{CCE_LEVEL}:{json_name}?download=1" + if _download_if_missing(h5_url, dest_dir / h5_name): + n_downloaded += 1 + if _download_if_missing(json_url, dest_dir / json_name): + n_downloaded += 1 + + if n_downloaded == 0: + print(f" already cached at {dest_dir}/") + else: + print(f" downloaded {n_downloaded} file(s) to {dest_dir}/") + + +def main() -> int: + print("gwBOB test data fetcher") + print(f"cache directory: {CACHE_DIR}") + print() + try: + fetch_sxs_bbh_2325() + fetch_cce9() + except KeyboardInterrupt: + print("\nInterrupted. Re-run to resume; partial files were cleaned up.", file=sys.stderr) + return 130 + print() + print("Done. Run integration tests with: pytest tests/") + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/tests/integration/regression_baselines/stage2/current_quadrupole_with_news.npz b/tests/integration/regression_baselines/stage2/current_quadrupole_with_news.npz new file mode 100644 index 0000000..895e8a4 Binary files /dev/null and b/tests/integration/regression_baselines/stage2/current_quadrupole_with_news.npz differ diff --git a/tests/integration/regression_baselines/stage2/current_quadrupole_with_psi4.npz b/tests/integration/regression_baselines/stage2/current_quadrupole_with_psi4.npz new file mode 100644 index 0000000..940d3a3 Binary files /dev/null and b/tests/integration/regression_baselines/stage2/current_quadrupole_with_psi4.npz differ diff --git a/tests/integration/regression_baselines/stage2/current_quadrupole_with_strain.npz b/tests/integration/regression_baselines/stage2/current_quadrupole_with_strain.npz new file mode 100644 index 0000000..981e35b Binary 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cce9 data → construct a waveform → run a +``gen_utils`` helper on it → compare to a stored reference. + +These tests use the session-scoped ``BOB_cce`` fixture (in conftest.py), +so the CCE data is loaded once per session and skipped cleanly when +absent. + +Tolerance policy: + Spline / interpolation results → rtol=1e-4, atol=1e-5 (scipy version + drift in spline knot placement). + Spline-extracted scalars (tp, Ap) → rtol=1e-8 (interpolation is + deterministic given the same input). +""" + +from __future__ import annotations + +from kuibit.timeseries import TimeSeries as kuibit_ts +import numpy as np +import pytest + +from gwBOB import gen_utils + +from conftest import load_npz_dict + + +@pytest.mark.integration +def test_kuibit_frequency_lm(BOB_cce, trusted_outputs_dir): + """``gen_utils.get_frequency`` on a BOB-constructed psi4 timeseries + should match the stored reference within spline tolerance.""" + BOB_cce.what_should_BOB_create = "psi4" + BOB_cce.optimize_Omega0 = True + t, y = BOB_cce.construct_BOB() + ts = kuibit_ts(t, y) + freq = gen_utils.get_frequency(ts) + ref = load_npz_dict(trusted_outputs_dir / "kuibit_cce9_rMPsi4_R0270_freq_l2_mm2.npz") + # Loose tolerance because curve_fit / spline interpolation drift slightly + # across scipy versions and BLAS implementations. + np.testing.assert_allclose(freq.t, ref["f_t"], rtol=1e-4, atol=1e-5) + np.testing.assert_allclose(freq.y, ref["f_y"], rtol=1e-4, atol=1e-5) + + +@pytest.mark.integration +def test_get_phase(BOB_cce, trusted_outputs_dir): + """``gen_utils.get_phase`` on a BOB-constructed psi4 timeseries + should match the stored reference within spline tolerance.""" + BOB_cce.what_should_BOB_create = "psi4" + BOB_cce.optimize_Omega0 = True + t, y = BOB_cce.construct_BOB() + ts = kuibit_ts(t, y) + phase = gen_utils.get_phase(ts) + ref = load_npz_dict(trusted_outputs_dir / "kuibit_cce9_rMPsi4_R0270_phase_l2_mm2.npz") + np.testing.assert_allclose(phase.t, ref["phase_t"], rtol=1e-4, atol=1e-5) + np.testing.assert_allclose(phase.y, ref["phase_y"], rtol=1e-4, atol=1e-5) + + +@pytest.mark.integration +def test_get_tp_Ap_from_spline(BOB_cce): + """``gen_utils.get_tp_Ap_from_spline`` extracts the peak time and + amplitude of a known BOB-constructed psi4 waveform.""" + BOB_cce.what_should_BOB_create = "psi4" + BOB_cce.optimize_Omega0 = True + t, y = BOB_cce.construct_BOB() + ts = kuibit_ts(t, y) + amp = np.abs(ts) + expected_tp, expected_Ap = (5148.657477586399, 0.046735948589431364) + result_tp, result_Ap = gen_utils.get_tp_Ap_from_spline(amp) + assert np.isclose(result_tp, expected_tp, rtol=1e-8) + assert np.isclose(result_Ap, expected_Ap, rtol=1e-8) diff --git a/tests/integration/test_initialize.py b/tests/integration/test_initialize.py new file mode 100644 index 0000000..c44675e --- /dev/null +++ b/tests/integration/test_initialize.py @@ -0,0 +1,150 @@ +""" +Integration tests for ``BOB.initialize_with_sxs_data`` and +``BOB.initialize_with_cce_data`` against committed trusted-output NPZ files. + +These tests require either the SXS:BBH:2325 SXS cache or the cce9 simulation +data to be present under ``tests/sxs_cache/``. They skip cleanly when the +data is missing. + +Claude Code: Tolerance policy (per DESIGN_test_refactor.md): + Curve_fit-derived parameters (Omega_0, etc.) → rtol=1e-3 (LM convergence + varies across BLAS / scipy versions). Final mismatch → < 1e-6 (the + user-facing accuracy criterion). +""" + +from __future__ import annotations + +from kuibit.timeseries import TimeSeries as kuibit_ts +import numpy as np +import sxs +import pytest + +from gwBOB import gen_utils +from gwBOB import BOB_utils + +from conftest import load_npz_dict + + +# --------------------------------------------------------------------------- +# Helpers (local to this module) +# --------------------------------------------------------------------------- + +def _params_from_npz(path): + """Extract the trusted-parameter tuple from a reference NPZ.""" + data = load_npz_dict(path) + return [ + data["mf"], data["chif"], data["l"], data["m"], data["Ap"], data["tp"], + data["Omega_0"], data["Phi_0"], data["tau"], data["Omega_ISCO"], + ] + + +def _kuibit_ts_dict_from_npz(path): + """Load a dict of {name -> kuibit_ts} from an NPZ that stores + ``_t`` / ``_y`` array pairs.""" + data = load_npz_dict(path) + timeseries = {} + for key in list(data.keys()): + if key.endswith("_t"): + name = key[:-2] + timeseries[name] = kuibit_ts(data[f"{name}_t"], data[f"{name}_y"]) + return timeseries + + +# --------------------------------------------------------------------------- +# Tests +# --------------------------------------------------------------------------- + +@pytest.mark.integration +def test_initialize_with_sxs_data(trusted_outputs_dir, sxs_bbh_2325_available): + """End-to-end SXS workflow: init → set 3 modes (psi4/news/strain) → + construct → mismatch against trusted output.""" + if not sxs_bbh_2325_available: + pytest.skip("SXS:BBH:2325 cache not present in tests/sxs_cache/") + + old_download = sxs.read_config("download") + sxs.write_config(download=False) + + expected_params = _params_from_npz(trusted_outputs_dir / "BOB_BBH_2325_optimize_psi4.npz") + + BOB = BOB_utils.BOB() + BOB.initialize_with_sxs_data("SXS:BBH:2325", l=2, m=2, download=False) + + BOB.what_should_BOB_create = "psi4" + BOB.optimize_Omega0 = True + t_bob_psi4, y_bob_psi4 = BOB.construct_BOB() + ts_psi4 = kuibit_ts(t_bob_psi4, y_bob_psi4) + + result_params = [ + BOB.mf, BOB.chif, BOB.l, BOB.m, BOB.Ap, BOB.tp, + BOB.Omega_0, BOB.Phi_0, BOB.tau, BOB.Omega_ISCO, + ] + + BOB.what_should_BOB_create = "news" + BOB.optimize_Omega0 = True + t_bob_news, y_bob_news = BOB.construct_BOB() + ts_news = kuibit_ts(t_bob_news, y_bob_news) + + BOB.what_should_BOB_create = "strain" + BOB.optimize_Omega0 = True + t_bob_strain, y_bob_strain = BOB.construct_BOB() + ts_strain = kuibit_ts(t_bob_strain, y_bob_strain) + + BOB_exp = _kuibit_ts_dict_from_npz(trusted_outputs_dir / "BBH_2325_BOB_wf.npz") + psi4_exp = BOB_exp["psi4"] + news_exp = BOB_exp["news"] + strain_exp = BOB_exp["strain"] + + mismatches = [ + gen_utils.mismatch(ts_psi4, psi4_exp, t0=0, tf=100), + gen_utils.mismatch(ts_news, news_exp, t0=0, tf=100), + gen_utils.mismatch(ts_strain, strain_exp, t0=0, tf=100), + ] + + sxs.write_config(download=old_download) + for exp, res in zip(expected_params, result_params): + # rtol=1e-3: Omega_0 is being optimized; curve_fit convergence varies + # slightly across BLAS implementations / scipy versions. + assert np.isclose(exp, res, rtol=1e-3) + for res in mismatches: + assert res < 1e-6 + + +@pytest.mark.integration +def test_initialize_with_cce_data(BOB_cce, trusted_outputs_dir): + """End-to-end CCE workflow: init → set 3 modes → construct → mismatch.""" + expected_params = _params_from_npz(trusted_outputs_dir / "BOB_BBH_CCE9_l2mm2_optimize_news.npz") + + BOB_cce.what_should_BOB_create = "strain" + BOB_cce.optimize_Omega0 = True + + t, y = BOB_cce.construct_BOB() + ts_strain = kuibit_ts(t, y) + + BOB_cce.what_should_BOB_create = "news" + t, y = BOB_cce.construct_BOB() + ts_news = kuibit_ts(t, y) + result_params = [ + BOB_cce.mf, BOB_cce.chif, BOB_cce.l, BOB_cce.m, BOB_cce.Ap, BOB_cce.tp, + BOB_cce.Omega_0, BOB_cce.Phi_0, BOB_cce.tau, BOB_cce.Omega_ISCO, + ] + + BOB_cce.what_should_BOB_create = "psi4" + t, y = BOB_cce.construct_BOB() + ts_psi4 = kuibit_ts(t, y) + + BOB_exp = _kuibit_ts_dict_from_npz(trusted_outputs_dir / "BBH_CCE9_l2mm2_BOB_wf.npz") + psi4_exp = BOB_exp["psi4"] + news_exp = BOB_exp["news"] + strain_exp = BOB_exp["strain"] + + mismatches = [ + gen_utils.mismatch(ts_psi4, psi4_exp, t0=0, tf=100), + gen_utils.mismatch(ts_news, news_exp, t0=0, tf=100), + gen_utils.mismatch(ts_strain, strain_exp, t0=0, tf=100), + ] + + for exp, res in zip(expected_params, result_params): + # Same rationale as test_initialize_with_sxs_data. + assert np.isclose(exp, res, rtol=1e-3) + for res in mismatches: + assert res < 1e-6 diff --git a/tests/integration/test_regression_baselines.py b/tests/integration/test_regression_baselines.py new file mode 100644 index 0000000..0c9a9d2 --- /dev/null +++ b/tests/integration/test_regression_baselines.py @@ -0,0 +1,298 @@ +""" +Byte-for-byte regression baselines from the Stage 2 and Stage 3 refactors. + +These tests verify that: + + - Stage 2: setting ``BOB.what_should_BOB_create`` to each of the 11 valid + modes produces exactly the same scalar state and time-grid arrays as the + reference run captured before the dispatch-table refactor. + - Stage 3 (H): ``BOB.construct_BOB_finite_t0`` produces exactly the same + timeseries as before commits H/I lifted construction to ``_construct.py``. + - Stage 3 (I): same for ``construct_BOB_minf_t0``. + +Memory note +----------- +These tests are marked ``@pytest.mark.regression_baseline`` and are SKIPPED +by default (see ``pyproject.toml`` ``addopts``). Run them explicitly: + + pytest tests/integration/test_regression_baselines.py -m regression_baseline + +They use the session-scoped ``initial_sxs_bob_2325`` fixture and ``deepcopy`` +per test, so peak memory stays around ~100 MB even when all 27 tests run. +Claude Code: See ``CLAUDE.md`` "Memory awareness" for context. + +Tolerance is 1e-9 — tight enough to catch any real algorithm regression +(meaningful drift in ``_construct.py`` would shift values by 1e-3 to 1e-6, +the BOB-physics scale) but loose enough to survive cross-BLAS / cross-libm +floating-point jitter when the baselines (captured on WSL Ubuntu) are +replayed on GitHub's Linux runner. The earlier 1e-12 setting failed CI on +11/27 cases with max-abs drifts of 1e-12 to 3e-11 — pure FP noise, not a +regression. If a baseline genuinely needs to be regenerated (e.g., scipy +upgrade caused unavoidable algorithmic drift), regenerate the NPZ files +using the original ``test_stage{2,3_h,3_i}_baseline.py`` scripts at the +project root rather than further relaxing tolerance here. +""" + +from __future__ import annotations + +import copy +from pathlib import Path + +import numpy as np +import pytest + +# Reuse the helper from conftest. +from conftest import load_npz_dict + + +BASELINE_DIR = Path(__file__).parent / "regression_baselines" + + +# --------------------------------------------------------------------------- +# Fingerprint helpers +# +# Each stage stored a different set of keys in its baseline NPZ files. The +# fingerprint functions below MUST match the schema written by the original +# capture scripts (test_stage{2,3_h,3_i}_baseline.py at the project root). +# --------------------------------------------------------------------------- + +def _ts_fingerprint(ts): + """Compact dict representation of a kuibit timeseries.""" + if ts is None: + return {"is_none": np.int64(1)} + return { + "is_none": np.int64(0), + "t": np.asarray(ts.t, dtype=np.float64), + "y": np.asarray(ts.y, dtype=np.complex128 if np.iscomplexobj(ts.y) else np.float64), + } + + +def _stage2_fingerprint(bob, mode_label): + """Match test_stage2_baseline.py captured_state exactly (21 keys).""" + state = {} + state["what_to_create"] = str(bob.what_should_BOB_create) + state["tp"] = np.float64(bob.tp) if bob.tp is not None else np.nan + state["Ap"] = np.float64(bob.Ap) if bob.Ap is not None else np.nan + state["Omega_0"] = np.float64(bob.Omega_0) if bob.Omega_0 is not None else np.nan + state["t_len"] = np.int64(len(bob.t)) + state["t_first"] = np.float64(bob.t[0]) + state["t_last"] = np.float64(bob.t[-1]) + state["t_tp_tau_first"] = np.float64(bob.t_tp_tau[0]) + state["t_tp_tau_last"] = np.float64(bob.t_tp_tau[-1]) + state["t_full"] = np.asarray(bob.t, dtype=np.float64) + state["t_tp_tau_full"] = np.asarray(bob.t_tp_tau, dtype=np.float64) + for k, v in _ts_fingerprint(bob.data).items(): + state[f"runtime_data_{k}"] = v + for k, v in _ts_fingerprint(bob.mass_quadrupole_data).items(): + state[f"mass_quad_{k}"] = v + for k, v in _ts_fingerprint(bob.current_quadrupole_data).items(): + state[f"current_quad_{k}"] = v + state["mode_label_input"] = str(mode_label) + return state + + +def _stage3_h_fingerprint(bob, t, y): + """Match test_stage3_h_baseline.py captured_state exactly (11 keys).""" + return { + "t": np.asarray(t, dtype=np.float64), + "y": np.asarray(y, dtype=np.complex128 if np.iscomplexobj(y) else np.float64), + "Omega_0": np.float64(bob.Omega_0) if bob.Omega_0 is not None else np.nan, + "Phi_0": np.float64(bob.Phi_0) if bob.Phi_0 is not None else np.nan, + "t0": np.float64(bob.t0) if bob.t0 is not None else np.nan, + "tp": np.float64(bob.tp) if bob.tp is not None else np.nan, + "Ap": np.float64(bob.Ap) if bob.Ap is not None else np.nan, + "tau": np.float64(bob.tau) if bob.tau is not None else np.nan, + "fitted_t0": np.float64(bob.fitted_t0) if bob.fitted_t0 is not None else np.nan, + "fitted_Omega0": np.float64(bob.fitted_Omega0) if bob.fitted_Omega0 is not None else np.nan, + "fit_failed": np.float64(bob.fit_failed), + } + + +def _stage3_i_fingerprint(bob, t, y): + """Match test_stage3_i_baseline.py captured_state exactly (17 keys).""" + state = { + "t": np.asarray(t, dtype=np.float64), + "y": np.asarray(y, dtype=np.complex128 if np.iscomplexobj(y) else np.float64), + } + for name in ("Omega_0", "Phi_0", "t0", "tp", "Ap", "tau", + "fitted_t0", "fitted_Omega0", "fit_failed", + "Omega_ISCO", "Omega_QNM", "optimize_Omega0"): + v = getattr(bob, name) + # Booleans go through float64 in the original capture script. + if v is None: + state[name] = np.nan + else: + state[name] = np.float64(v) if not isinstance(v, bool) else np.float64(v) + state["t_len_after"] = np.int64(len(bob.t)) + state["t_first_after"] = np.float64(bob.t[0]) + state["t_last_after"] = np.float64(bob.t[-1]) + return state + + +# --------------------------------------------------------------------------- +# Comparison helper +# --------------------------------------------------------------------------- + +def _compare_byte_for_byte(baseline: dict, current: dict, tol: float = 1e-9): + """Strict comparison; raises ``AssertionError`` on any drift. + + Default ``tol=1e-9`` is portable across BLAS / libm builds; see module + docstring for rationale. Real BOB-algorithm regressions move values by + 1e-3 to 1e-6, so 1e-9 still catches them with a 1000× safety margin. + """ + keys_b = set(baseline.keys()) + keys_c = set(current.keys()) + assert keys_b == keys_c, ( + f"key mismatch: baseline-only={sorted(keys_b - keys_c)!r}, " + f"current-only={sorted(keys_c - keys_b)!r}" + ) + for key in keys_b: + b = baseline[key] + c = current[key] + b_arr = np.asarray(b) + # String / object: exact match + if b_arr.dtype.kind in ("U", "O"): + assert str(b) == str(c), f"{key}: {b!r} != {c!r}" + continue + c_arr = np.asarray(c) + assert b_arr.shape == c_arr.shape, f"{key}: shape {b_arr.shape} != {c_arr.shape}" + if b_arr.size == 0: + continue + if np.issubdtype(b_arr.dtype, np.floating) or np.issubdtype(b_arr.dtype, np.complexfloating): + both_nan = np.isnan(b_arr) & np.isnan(c_arr) if np.issubdtype(b_arr.dtype, np.floating) else None + if both_nan is not None and both_nan.any(): + np.testing.assert_allclose( + np.where(both_nan, 0, b_arr), + np.where(both_nan, 0, c_arr), + rtol=tol, atol=tol, + err_msg=f"{key} drifted", + ) + else: + np.testing.assert_allclose(b_arr, c_arr, rtol=tol, atol=tol, err_msg=f"{key} drifted") + else: + assert np.array_equal(b_arr, c_arr), f"{key}: integer mismatch" + + +# =========================================================================== +# Stage 2 — setter regression baselines (11 modes) +# =========================================================================== + +ALL_MODES = [ + "psi4", + "news", + "strain", + "strain_using_psi4", + "strain_using_news", + "mass_quadrupole_with_strain", + "current_quadrupole_with_strain", + "mass_quadrupole_with_news", + "current_quadrupole_with_news", + "mass_quadrupole_with_psi4", + "current_quadrupole_with_psi4", +] + + +@pytest.mark.integration +@pytest.mark.regression_baseline +@pytest.mark.parametrize("mode", ALL_MODES) +def test_stage2_setter_regression(mode, initial_sxs_bob_2325): + """Setting ``what_should_BOB_create`` to ``mode`` must produce exactly the + state captured at commit dc7ebef (Stage 2 dispatch-table refactor).""" + baseline_path = BASELINE_DIR / "stage2" / f"{mode}.npz" + if not baseline_path.exists(): + pytest.skip(f"baseline file missing: {baseline_path.name}") + + bob = copy.deepcopy(initial_sxs_bob_2325) + bob.what_should_BOB_create = mode + current = _stage2_fingerprint(bob, mode) + baseline = load_npz_dict(baseline_path) + _compare_byte_for_byte(baseline, current, tol=1e-9) + + +# =========================================================================== +# Stage 3 H — construct_BOB_finite_t0 regression baselines (6 configs) +# =========================================================================== + +# (label, mode, optimize_t0_flag, kwargs to construct_BOB) +_STAGE3_H_CASES = [ + ("psi4_finite_t0_no_opt", "psi4", False, {}), + ("news_finite_t0_no_opt", "news", False, {}), + ("strain_finite_t0_no_opt", "strain", False, {}), + ("strain_using_news_finite_t0_N1", "strain_using_news", False, {"N": 1}), + ("strain_using_psi4_finite_t0_N1", "strain_using_psi4", False, {"N": 1}), + ("news_optimize_t0", "news", True, {}), +] + + +@pytest.mark.integration +@pytest.mark.regression_baseline +@pytest.mark.parametrize( + "label, mode, optimize_t0_flag, kwargs", + _STAGE3_H_CASES, + ids=[c[0] for c in _STAGE3_H_CASES], +) +def test_stage3_h_finite_t0_regression( + label, mode, optimize_t0_flag, kwargs, initial_sxs_bob_2325, +): + """``construct_BOB`` on the finite-t0 path must match the baseline captured + at commit d85f7fc (Stage 3.3 commit H).""" + baseline_path = BASELINE_DIR / "stage3_h" / f"{label}.npz" + if not baseline_path.exists(): + pytest.skip(f"baseline file missing: {baseline_path.name}") + + bob = copy.deepcopy(initial_sxs_bob_2325) + bob.what_should_BOB_create = mode + bob.optimize_Omega0 = False + bob.set_initial_time = -10 + if optimize_t0_flag: + bob.optimize_t0 = True + + t, y = bob.construct_BOB(**kwargs) + current = _stage3_h_fingerprint(bob, t, y) + baseline = load_npz_dict(baseline_path) + _compare_byte_for_byte(baseline, current, tol=1e-9) + + +# =========================================================================== +# Stage 3 I — construct_BOB_minf_t0 regression baselines (10 configs) +# =========================================================================== + +# (label, mode, optimize_Omega0, kwargs) +_STAGE3_I_CASES = [ + ("psi4_no_opt", "psi4", False, {}), + ("news_no_opt", "news", False, {}), + ("strain_no_opt", "strain", False, {}), + ("psi4_optimize", "psi4", True, {}), + ("news_optimize", "news", True, {}), + ("strain_optimize", "strain", True, {}), + ("strain_using_news_no_opt", "strain_using_news", False, {"N": 1}), + ("strain_using_psi4_no_opt", "strain_using_psi4", False, {"N": 1}), + ("strain_using_news_optimize", "strain_using_news", True, {"N": 1}), + ("strain_using_psi4_optimize", "strain_using_psi4", True, {"N": 1}), +] + + +@pytest.mark.integration +@pytest.mark.regression_baseline +@pytest.mark.parametrize( + "label, mode, optimize_Omega0, kwargs", + _STAGE3_I_CASES, + ids=[c[0] for c in _STAGE3_I_CASES], +) +def test_stage3_i_minf_t0_regression( + label, mode, optimize_Omega0, kwargs, initial_sxs_bob_2325, +): + """``construct_BOB`` on the minf-t0 path must match the baseline captured + at commit bf6a7a7 (Stage 3.3 commit I).""" + baseline_path = BASELINE_DIR / "stage3_i" / f"{label}.npz" + if not baseline_path.exists(): + pytest.skip(f"baseline file missing: {baseline_path.name}") + + bob = copy.deepcopy(initial_sxs_bob_2325) + bob.what_should_BOB_create = mode + bob.optimize_Omega0 = optimize_Omega0 + + t, y = bob.construct_BOB(**kwargs) + current = _stage3_i_fingerprint(bob, t, y) + baseline = load_npz_dict(baseline_path) + _compare_byte_for_byte(baseline, current, tol=1e-9) diff --git a/tests/sxs_cache/SXS:BBH:2325v3.0/Lev3:ExtraWaveforms.h5 b/tests/sxs_cache/SXS:BBH:2325v3.0/Lev3:ExtraWaveforms.h5 deleted file mode 100644 index 144383f..0000000 Binary files a/tests/sxs_cache/SXS:BBH:2325v3.0/Lev3:ExtraWaveforms.h5 and /dev/null differ diff --git a/tests/sxs_cache/SXS:BBH:2325v3.0/Lev3:ExtraWaveforms.json b/tests/sxs_cache/SXS:BBH:2325v3.0/Lev3:ExtraWaveforms.json deleted file mode 100644 index 9209896..0000000 --- a/tests/sxs_cache/SXS:BBH:2325v3.0/Lev3:ExtraWaveforms.json +++ /dev/null @@ -1,576 +0,0 @@ -{ - "/Strain_Outer.dir": { - "sxs_format": "rotating_paired_diff_multishuffle_bzip2", - "data_info": { - "data_type": "h", - "m_is_scaled_out": true, - "r_is_scaled_out": true, - "spin_weight": -2, - "ell_min": 2, - "ell_max": 8 - }, - "version_info": { - "python": "3.10.14 | packaged by conda-forge | (main, Mar 20 2024, 12:45:18) [GCC 12.3.0]", - "numpy": "1.26.4", - "scipy": "1.13.1", - "h5py": "3.12.1", - "numba": "0.60.0", - "quaternion": "2024.0.3", - "spherical_functions": "2022.4.5", - "spinsfast": "2022.4.6", - "scri": "2022.9.0", - "quaternionic": "1.0.13", - "spherical": "1.0.14", - "sxs": "2024.0.25", - "spec_version_hist": [ 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"truncate": { - "tol": 1e-10 - } - } -} \ No newline at end of file diff --git a/tests/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.h5 b/tests/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.h5 deleted file mode 100644 index c0038d4..0000000 Binary files a/tests/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.h5 and /dev/null differ diff --git a/tests/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.json b/tests/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.json deleted file mode 100644 index b70b0ab..0000000 --- a/tests/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "sxs_format": "rotating_paired_diff_multishuffle_bzip2", - "data_info": { - "data_type": "unknown", - "m_is_scaled_out": true, - "r_is_scaled_out": true, - "spin_weight": 2, - "ell_min": 2, - "ell_max": 8 - }, - "version_info": { - "python": "3.8.5 | packaged by conda-forge | (default, Sep 24 2020, 16:55:52) \n[GCC 7.5.0]", - "numpy": "1.24.4", - "scipy": "1.9.3", - "h5py": "3.10.0", - "numba": "0.58.1", - "quaternion": "2023.0.2", - "spherical_functions": "2022.4.2", - "spinsfast": "2022.4.4", - "scri": "2022.8.9", - "quaternionic": "1.0.8", - "spherical": "1.0.14", - "sxs": "2022.5.2" - }, - "validation": { - "h5_file_size": 9016085, - "n_times": 76409, - "md5sum": "cced8bbb433389a24174b04f4888db0a" - }, - "modifications": { - "truncate": { - "tol": 1e-10 - } - } -} \ No newline at end of file diff --git a/tests/sxs_cache/cce9/rMPsi4_BondiCce_R0270.h5 b/tests/sxs_cache/cce9/rMPsi4_BondiCce_R0270.h5 deleted file mode 100644 index e3c5b0a..0000000 Binary files a/tests/sxs_cache/cce9/rMPsi4_BondiCce_R0270.h5 and /dev/null differ diff --git a/tests/sxs_cache/cce9/rMPsi4_BondiCce_R0270.json b/tests/sxs_cache/cce9/rMPsi4_BondiCce_R0270.json deleted file mode 100644 index 52f02ec..0000000 --- a/tests/sxs_cache/cce9/rMPsi4_BondiCce_R0270.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "sxs_format": "rotating_paired_diff_multishuffle_bzip2", - "data_info": { - "data_type": "unknown", - "m_is_scaled_out": true, - "r_is_scaled_out": true, - "spin_weight": -2, - "ell_min": 2, - "ell_max": 8 - }, - "version_info": { - "python": "3.8.5 | packaged by conda-forge | (default, Sep 24 2020, 16:55:52) \n[GCC 7.5.0]", - "numpy": "1.24.4", - "scipy": "1.9.3", - "h5py": "3.10.0", - "numba": "0.58.1", - "quaternion": "2023.0.2", - "spherical_functions": "2022.4.2", - "spinsfast": "2022.4.4", - "scri": "2022.8.9", - "quaternionic": "1.0.8", - "spherical": "1.0.14", - "sxs": "2022.5.2" - }, - "validation": { - "h5_file_size": 15302273, - "n_times": 76409, - "md5sum": "495fc90ad1e1b8411445f20dd94c667e" - }, - "modifications": { - "truncate": { - "tol": 1e-10 - } - } -} \ No newline at end of file diff --git a/tests/sxs_cache/cce9/rhOverM_BondiCce_R0270.h5 b/tests/sxs_cache/cce9/rhOverM_BondiCce_R0270.h5 deleted file mode 100644 index a3fb6df..0000000 Binary files a/tests/sxs_cache/cce9/rhOverM_BondiCce_R0270.h5 and /dev/null differ diff --git a/tests/sxs_cache/cce9/rhOverM_BondiCce_R0270.json b/tests/sxs_cache/cce9/rhOverM_BondiCce_R0270.json deleted file mode 100644 index d571aac..0000000 --- a/tests/sxs_cache/cce9/rhOverM_BondiCce_R0270.json +++ /dev/null @@ -1,35 +0,0 @@ -{ - "sxs_format": "rotating_paired_diff_multishuffle_bzip2", - "data_info": { - "data_type": "unknown", - "m_is_scaled_out": true, - "r_is_scaled_out": true, - "spin_weight": -2, - "ell_min": 2, - "ell_max": 8 - }, - "version_info": { - "python": "3.8.5 | packaged by conda-forge | (default, Sep 24 2020, 16:55:52) \n[GCC 7.5.0]", - "numpy": "1.24.4", - "scipy": "1.9.3", - "h5py": "3.10.0", - "numba": "0.58.1", - "quaternion": "2023.0.2", - "spherical_functions": "2022.4.2", - "spinsfast": "2022.4.4", - "scri": "2022.8.9", - "quaternionic": "1.0.8", - "spherical": "1.0.14", - "sxs": "2022.5.2" - }, - "validation": { - "h5_file_size": 6476471, - "n_times": 76409, - "md5sum": "70b61196dfaccb8af1f0b7c53be03ed0" - }, - "modifications": { - "truncate": { - "tol": 1e-10 - } - } -} \ No newline at end of file diff --git a/tests/sxs_cache/simulations.zip b/tests/sxs_cache/simulations.zip deleted file mode 100644 index 0ef5320..0000000 Binary files a/tests/sxs_cache/simulations.zip and /dev/null differ diff --git a/tests/sxs_cache/simulations_v3.0.0.bz2 b/tests/sxs_cache/simulations_v3.0.0.bz2 deleted file mode 100644 index 0ee9ec2..0000000 Binary files a/tests/sxs_cache/simulations_v3.0.0.bz2 and /dev/null differ diff --git a/tests/test_BOB_utils.py b/tests/test_BOB_utils.py index 25a792e..10699cb 100644 --- a/tests/test_BOB_utils.py +++ b/tests/test_BOB_utils.py @@ -1,223 +1,32 @@ -from kuibit.timeseries import TimeSeries as kuibit_ts -import sys, os -sys.path.append(os.path.dirname(os.path.dirname(__file__))) -from gwBOB import gen_utils -import numpy as np -from gwBOB import BOB_utils -import sxs -import scri -import pytest - -file_prefix = "./tests" #pre yml change -#file_prefix = "." -@pytest.fixture(scope="session") -def BOB_cce(): - wf_paths = {} - wf_paths['h'] = f'{file_prefix}/sxs_cache/cce9/rhOverM_BondiCce_R0270.h5' - wf_paths['Psi4'] = f'{file_prefix}/sxs_cache/cce9/rMPsi4_BondiCce_R0270.h5' - wf_paths['Psi3'] = f'{file_prefix}/sxs_cache/cce9/r2Psi3_BondiCce_R0270.h5' - wf_paths['Psi2'] = f'{file_prefix}/sxs_cache/cce9/r3Psi2OverM_BondiCce_R0270.h5' - wf_paths['Psi1'] = f'{file_prefix}/sxs_cache/cce9/r4Psi1OverM2_BondiCce_R0270.h5' - wf_paths['Psi0'] = f'{file_prefix}/sxs_cache/cce9/r5Psi0OverM3_BondiCce_R0270.h5' - - abd = scri.SpEC.create_abd_from_h5(file_format='RPDMB', **wf_paths) - - BOB = BOB_utils.BOB() - BOB.initialize_with_cce_data(-1,provide_own_abd = abd,l=2,m=-2) - - return BOB -def BOB_params(initialize , location = f'{file_prefix}/trusted_outputs/BOB_BBH_2325_optimize_psi4.npz'): - #Default to SXS BBH 2325 Params, Optimize Omega_0 = True if initialize and location are not given - if initialize == None: - data = np.load(location) - params = ([data["mf"], data["chif"], data["l"], data["m"], data["Ap"], data["tp"], - data["Omega_0"], data["Phi_0"], data["tau"], data["Omega_ISCO"]]) - elif initialize == "SXS": - data = np.load(f'{file_prefix}/trusted_outputs/BOB_BBH_2325_optimize_psi4.npz') - params = ([data["mf"], data["chif"], data["l"], data["m"], data["Ap"], data["tp"], - data["Omega_0"], data["Phi_0"], data["tau"], data["Omega_ISCO"]]) - elif initialize == "CCE": - data = np.load(f'{file_prefix}/trusted_outputs/BOB_BBH_CCE9_l2mm2_optimize_news.npz') - params = ([data["mf"], data["chif"], data["l"], data["m"], data["Ap"], data["tp"], - data["Omega_0"], data["Phi_0"], data["tau"], data["Omega_ISCO"]]) - return params - -def kuibit_ts_load(location): - data = np.load(location) - timeseries = {} - for key in data.files: - if key.endswith("_t"): - name = key[:-2] - t = data[f"{name}_t"] - y = data[f"{name}_y"] - timeseries[name] = kuibit_ts(t, y) - return timeseries - -def test_initialize_with_sxs_data(): - # Set path for cache locally - old_download = sxs.read_config("download") - sxs.write_config(download=False) - - expected_params = BOB_params("SXS") - - BOB = BOB_utils.BOB() - BOB.initialize_with_sxs_data("SXS:BBH:2325",l=2,m=2,download=False) - - BOB.what_should_BOB_create = "psi4" - BOB.optimize_Omega0 = True - t_bob_psi4, y_bob_psi4 = BOB.construct_BOB() - ts_psi4 = kuibit_ts(t_bob_psi4, y_bob_psi4) - - result_params = ([BOB.mf, BOB.chif, BOB.l, BOB.m, BOB.Ap, BOB.tp, - BOB.Omega_0, BOB.Phi_0, BOB.tau, BOB.Omega_ISCO]) - - BOB.what_should_BOB_create = "news" - BOB.optimize_Omega0 = True - t_bob_news, y_bob_news = BOB.construct_BOB() - ts_news = kuibit_ts(t_bob_news, y_bob_news) - - - BOB.what_should_BOB_create = "strain" - BOB.optimize_Omega0 = True - t_bob_strain, y_bob_strain = BOB.construct_BOB() - ts_strain = kuibit_ts(t_bob_strain, y_bob_strain) - - - BOB_exp = kuibit_ts_load(f'{file_prefix}/trusted_outputs/BBH_2325_BOB_wf.npz') - psi4_exp = BOB_exp["psi4"] - news_exp = BOB_exp["news"] - strain_exp = BOB_exp["strain"] - - mismatches = ([gen_utils.mismatch(ts_psi4, psi4_exp, t0 = 0, tf = 100), - gen_utils.mismatch(ts_news, news_exp, t0 = 0, tf = 100), - gen_utils.mismatch(ts_strain, strain_exp, t0 = 0, tf = 100)]) - mismatches_exp = ([0.0,0.0,0.0]) - - #reset user config settings - sxs.write_config(download=old_download) - for exp, res in zip(expected_params, result_params): - #this is quite low because Omega_0 is being optimized, which can lead to small differences in each evaluation - #TODO: separate Omega_0 check from other values. The other values should have a much stricter tolerance - assert np.isclose(exp, res, rtol=1e-3) - for exp, res in zip(mismatches, mismatches_exp): - assert res < 1e-6 - -def test_initialize_with_cce_data(BOB_cce): - - - expected_params = BOB_params(initialize = "CCE") - - BOB_cce.what_should_BOB_create = "strain" - BOB_cce.optimize_Omega0 = True - - t,y = BOB_cce.construct_BOB() - ts_strain = kuibit_ts(t,y) - - BOB_cce.what_should_BOB_create = "news" - t,y = BOB_cce.construct_BOB() - ts_news = kuibit_ts(t,y) - result_params = ([BOB_cce.mf, BOB_cce.chif, BOB_cce.l, BOB_cce.m, BOB_cce.Ap, BOB_cce.tp, - BOB_cce.Omega_0, BOB_cce.Phi_0, BOB_cce.tau, BOB_cce.Omega_ISCO]) - - BOB_cce.what_should_BOB_create = "psi4" - t,y = BOB_cce.construct_BOB() - ts_psi4 = kuibit_ts(t,y) - - BOB_exp = kuibit_ts_load(f'{file_prefix}/trusted_outputs/BBH_CCE9_l2mm2_BOB_wf.npz') - print(BOB_exp) - psi4_exp = BOB_exp["psi4"] - news_exp = BOB_exp["news"] - strain_exp = BOB_exp["strain"] - - mismatches = ([gen_utils.mismatch(ts_psi4, psi4_exp, t0 = 0, tf = 100), - gen_utils.mismatch(ts_news, news_exp, t0 = 0, tf = 100), - gen_utils.mismatch(ts_strain, strain_exp, t0 = 0, tf = 100)]) - mismatches_exp = ([0.0,0.0,0.0]) - - for exp, res in zip(expected_params, result_params): - #this is quite low because Omega_0 is being optimized, which can lead to small differences in each evaluation - #TODO: separate Omega_0 check from other values. The other values should have a much stricter tolerance - assert np.isclose(exp, res, rtol=1e-3) - for exp, res in zip(mismatches, mismatches_exp): - assert res < 1e-6 -def test_kuibit_frequency_lm(BOB_cce): - BOB_cce.what_should_BOB_create = "psi4" - BOB_cce.optimize_Omega0 = True - t,y = BOB_cce.construct_BOB() - ts = kuibit_ts(t,y) - freq = gen_utils.get_frequency(ts) - # Load reference - ref = np.load(f'{file_prefix}/trusted_outputs/kuibit_cce9_rMPsi4_R0270_freq_l2_mm2.npz') - # Compare arrays - np.testing.assert_allclose(freq.t, ref["f_t"], rtol=1e-4, atol=1e-5) - np.testing.assert_allclose(freq.y, ref["f_y"], rtol=1e-4, atol=1e-5) - -def test_get_phase(BOB_cce): - BOB_cce.what_should_BOB_create = "psi4" - BOB_cce.optimize_Omega0 = True - t,y = BOB_cce.construct_BOB() - ts = kuibit_ts(t,y) - phase = gen_utils.get_phase(ts) - # Load reference - ref = np.load(f'{file_prefix}/trusted_outputs/kuibit_cce9_rMPsi4_R0270_phase_l2_mm2.npz') - # Compare arrays - np.testing.assert_allclose(phase.t, ref["phase_t"], rtol=1e-4, atol=1e-5) - np.testing.assert_allclose(phase.y, ref["phase_y"], rtol=1e-4, atol=1e-5) - - -def test_get_r_isco_values(): - # Small arrays of chi and M - chi_vals = np.array([0.0, 0.5, 0.9]) - M_vals = np.array([1.0, 2.0, 5.0]) - - # Expected values computed manually or from reference - expected = [ - 6.0, # (0, 1), Schwarzschild ISCO = 6M - 8.466005059061652, #(0.5, 2) - 11.604415208809435 # (0.9, 5.0) - ] - - # Check that function returns correct shape and matches expected - for chi, M, exp in zip(chi_vals, M_vals, expected): - result = gen_utils.get_r_isco(chi, M) - assert np.isclose(result, exp, rtol=1e-8) -def test_get_Omega_isco_values(): - chi_vals = np.array([0.0, 0.5, 0.9]) - M_vals = np.array([1.0, 2.0, 5.0]) - - expected = [ - 0.06804138174397717, - 0.05429417949013838, - 0.0450883417670616 - ] - - for chi, M, exp in zip(chi_vals, M_vals, expected): - result = gen_utils.get_Omega_isco(chi, M) - assert np.isclose(result, exp, rtol=1e-8) -def test_get_qnm(): - chi_vals = np.array([0.0, 0.0, 0.0, 0.5, 0.5, 0.5]) - M_vals = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 2.0]) - l_vals = np.array([2, 3, 2, 2, 2, 2]) - m_vals = np.array([2, 2, 2, 2, 2, 2]) - n_vals = np.array([0, 0, 1, 0, 0, 0]) - sign_vals = np.array([1, 1, 1, -1, 1, 1]) - - - expected_w_r_vals = np.array([0.37367168441804177, 0.5994432884374902, 0.34671099687916285, 0.32430731434882354, 0.46412302597593846, 0.23206151298796923]) - expected_tau_vals = np.array([11.24071459084527, 10.787131838360468, 3.6507692360145394, 11.231973996651769, 11.676945396785948, 23.353890793571896]) - - - for chi, M, l, m, n, sgn, exp_w, exp_tau in zip(chi_vals, M_vals, l_vals, m_vals, n_vals, sign_vals, expected_w_r_vals, expected_tau_vals): - result_w, result_tau = gen_utils.get_qnm(chi, M, l, m, n = n, sign = sgn) - assert np.isclose(result_w, exp_w, rtol=1e-8) - assert np.isclose(result_tau, exp_tau, rtol=1e-8) -def test_get_tp_Ap_from_spline(BOB_cce): - BOB_cce.what_should_BOB_create = "psi4" - BOB_cce.optimize_Omega0 = True - t,y = BOB_cce.construct_BOB() - ts = kuibit_ts(t,y) - amp = np.abs(ts) - expected_tp, expected_Ap = ([5148.657477586399, 0.046735948589431364]) - result_tp, result_Ap = gen_utils.get_tp_Ap_from_spline(amp) - assert np.isclose(result_tp, expected_tp, rtol=1e-8) - assert np.isclose(result_Ap, expected_Ap, rtol=1e-8) +""" +This module's tests have been split into focused files (Stage T3 of +the test refactor). Keep this stub for one release so any existing +``from tests.test_BOB_utils import ...`` import doesn't crash with an +``ImportError`` at collection time. + +New locations: + + tests/unit/test_gen_utils_math.py + Pure-math unit tests: + test_get_r_isco_values + test_get_Omega_isco_values + test_get_qnm + + tests/integration/test_initialize.py + End-to-end SXS / CCE workflow regressions: + test_initialize_with_sxs_data + test_initialize_with_cce_data + + tests/integration/test_analysis_helpers.py + gen_utils helpers exercised on BOB construction output: + test_kuibit_frequency_lm + test_get_phase + test_get_tp_Ap_from_spline + + tests/integration/test_regression_baselines.py + Stage 2 / Stage 3 byte-for-byte regression baselines. + +Run with ``pytest tests/`` (default — skips memory-heavy regression baselines) +or ``pytest tests/integration/test_regression_baselines.py -m regression_baseline`` +to run the full byte-for-byte set. +""" diff --git a/tests/unit/test_BOB_orchestrator.py b/tests/unit/test_BOB_orchestrator.py new file mode 100644 index 0000000..140975f --- /dev/null +++ b/tests/unit/test_BOB_orchestrator.py @@ -0,0 +1,198 @@ +""" +Unit tests for ``gwBOB.BOB_utils.BOB`` orchestrator-level behaviour: + + - Constructor + sub-object initialization + - ``__slots__`` typo enforcement (the user-stated requirement from Stage 1) + - Read-only / settable property delegation + - Invalid-mode error from the dispatch + - ``fit_t0_and_Omega0`` raises ``NotImplementedError`` (the deferred path) + - ``valid_choices`` lists the documented modes + +These run without any NR data. +""" + +from __future__ import annotations + +import numpy as np +import pytest + +from gwBOB import BOB_utils +from gwBOB._state import ( + Remnant, DataStore, WaveformConfig, FitConfig, RuntimeState, FitResult, +) + + +# --------------------------------------------------------------------------- +# Constructor + sub-objects +# --------------------------------------------------------------------------- + +class TestBOBConstructor: + def test_bob_instantiates_cleanly(self): + bob = BOB_utils.BOB() + assert bob is not None + + def test_bob_has_six_dataclass_subobjects(self): + bob = BOB_utils.BOB() + assert isinstance(bob._remnant, Remnant) + assert isinstance(bob._data, DataStore) + assert isinstance(bob._wf_config, WaveformConfig) + assert isinstance(bob._fit_config, FitConfig) + assert isinstance(bob._runtime, RuntimeState) + assert isinstance(bob._fit_result, FitResult) + + def test_qnm_data_ready_starts_false(self): + bob = BOB_utils.BOB() + assert bob._qnm_data_ready is False + + def test_default_l_m_are_2(self): + """Per quickstart: default mode is (2, 2).""" + bob = BOB_utils.BOB() + assert bob.l == 2 + assert bob.m == 2 + + def test_default_optimize_flags_are_false(self): + """No optimization should be requested by default — the docstring + says construct_BOB does pure analytical evaluation unless flags + are explicitly toggled.""" + bob = BOB_utils.BOB() + assert bob.optimize_Omega0 is False + assert bob._fit_config.optimize_t0 is False + assert bob._fit_config.optimize_t0_and_Omega0 is False + + def test_fit_result_starts_at_minus_infinity(self): + bob = BOB_utils.BOB() + assert bob.fitted_t0 == -np.inf + assert bob.fitted_Omega0 == -np.inf + assert bob.fit_failed is False + + def test_default_minf_t0_is_True(self): + bob = BOB_utils.BOB() + assert bob.minf_t0 is True + + +# --------------------------------------------------------------------------- +# __slots__ typo enforcement (the user-stated Stage 1 requirement) +# --------------------------------------------------------------------------- + +class TestSlotsTypoEnforcement: + def test_typo_attribute_assignment_raises(self): + bob = BOB_utils.BOB() + with pytest.raises(AttributeError): + bob.optimze_Omega0 = True # typo: missing 'i' + + def test_unknown_attribute_assignment_raises(self): + bob = BOB_utils.BOB() + with pytest.raises(AttributeError): + bob.bogus_attr_xyzzy = 42 + + def test_legitimate_setter_still_works(self): + """Property delegation must still work.""" + bob = BOB_utils.BOB() + bob.optimize_Omega0 = True + assert bob.optimize_Omega0 is True + assert bob._fit_config.optimize_Omega0 is True + + def test_typo_assignment_does_not_create_attribute(self): + bob = BOB_utils.BOB() + try: + bob.fit_falied = True # typo: missing 'i' + except AttributeError: + pass + # Should not have been created + with pytest.raises(AttributeError): + _ = bob.fit_falied + + +# --------------------------------------------------------------------------- +# what_should_BOB_create — invalid mode raises ValueError +# --------------------------------------------------------------------------- + +class TestWhatShouldBOBCreateValidation: + def test_invalid_mode_raises_value_error(self): + bob = BOB_utils.BOB() + with pytest.raises(ValueError, match="Invalid choice for what to create"): + bob.what_should_BOB_create = "not_a_real_mode" + + def test_unknown_mode_does_not_change_what_to_create(self): + bob = BOB_utils.BOB() + original = bob.what_should_BOB_create + try: + bob.what_should_BOB_create = "fake_mode" + except ValueError: + pass + assert bob.what_should_BOB_create == original + + +# --------------------------------------------------------------------------- +# fit_t0_and_Omega0 — the explicitly-deferred path +# --------------------------------------------------------------------------- + +class TestFitT0AndOmega0NotImplemented: + def test_calling_fit_t0_and_Omega0_raises(self): + bob = BOB_utils.BOB() + with pytest.raises(NotImplementedError, match="not implemented"): + bob.fit_t0_and_Omega0() + + +# --------------------------------------------------------------------------- +# valid_choices — text output should list every documented mode +# --------------------------------------------------------------------------- + +class TestValidChoices: + def test_lists_all_simple_modes(self, capsys): + bob = BOB_utils.BOB() + bob.valid_choices() + captured = capsys.readouterr() + for mode in ("psi4", "news", "strain", "strain_using_news", "strain_using_psi4"): + assert mode in captured.out, f"valid_choices() missing {mode}" + + def test_lists_all_quadrupole_modes(self, capsys): + bob = BOB_utils.BOB() + bob.valid_choices() + captured = capsys.readouterr() + for mode in ( + "mass_quadrupole_with_strain", + "current_quadrupole_with_strain", + "mass_quadrupole_with_news", + "current_quadrupole_with_news", + "mass_quadrupole_with_psi4", + "current_quadrupole_with_psi4", + ): + assert mode in captured.out, f"valid_choices() missing {mode}" + + def test_recommends_news_or_strain_using_news(self, capsys): + """Per docstring: '99% of use cases want news or strain_using_news'.""" + bob = BOB_utils.BOB() + bob.valid_choices() + captured = capsys.readouterr() + # Substring check is robust to formatting changes. + assert "news" in captured.out and "strain_using_news" in captured.out + + def test_warns_about_testing_only_modes(self, capsys): + bob = BOB_utils.BOB() + bob.valid_choices() + captured = capsys.readouterr() + assert "TESTING" in captured.out or "testing" in captured.out, \ + "valid_choices() should clearly mark testing-only modes" + + +# --------------------------------------------------------------------------- +# Public-API invariants the user is expected to rely on +# --------------------------------------------------------------------------- + +class TestPublicAPIInvariants: + def test_construct_BOB_finite_t0_rejects_optimize_Omega0(self): + """Documented constraint: ``optimize_Omega0=True`` is only valid for + the minf-t0 path.""" + bob = BOB_utils.BOB() + bob.optimize_Omega0 = True + # Force the finite-t0 branch by direct call (skipping the setter) + with pytest.raises(ValueError, match="Cannot optimize Omega0 for finite t0"): + bob.construct_BOB_finite_t0(N=1) + + def test_setting_set_initial_time_before_what_to_create_raises(self): + """The set_initial_time setter requires what_should_BOB_create to + already be set, since it inspects the active waveform.""" + bob = BOB_utils.BOB() + with pytest.raises(ValueError, match="Please specify"): + bob.set_initial_time = -10 diff --git a/tests/unit/test_BOB_terms_amp_freq.py b/tests/unit/test_BOB_terms_amp_freq.py new file mode 100644 index 0000000..60060d8 --- /dev/null +++ b/tests/unit/test_BOB_terms_amp_freq.py @@ -0,0 +1,274 @@ +""" +Unit tests for ``gwBOB.BOB_terms`` amplitude and frequency functions. + +Covers: + - BOB_amplitude (sech envelope) + - BOB_psi4_freq (minf t0) + - BOB_news_freq (minf t0) + - BOB_strain_freq (minf t0) + - BOB_psi4_freq_finite_t0 + - BOB_news_freq_finite_t0 + - BOB_strain_freq_finite_t0 + +All functions take a BOB-shaped object and return an array. The minf-t0 +variants and the finite-t0 variants must satisfy the same physical +asymptotic limits: + + As t → -∞ : Omega → Omega_0 + As t → +∞ : Omega → Omega_QNM + +These limits are the strongest available unit-test contract — they hold by +construction for any choice of (Omega_0, Omega_QNM, tau). + +Tolerance: ``rtol=1e-3`` to ``1e-4`` at the finite-grid asymptotes (the +synthetic_bob fixture uses |t/tau| ≤ 5, where tanh saturates to ±0.9999). +""" + +from __future__ import annotations + +import copy +import numpy as np +import pytest + +from gwBOB import BOB_terms + + +# --------------------------------------------------------------------------- +# BOB_amplitude — sech envelope +# --------------------------------------------------------------------------- + +class TestBOBAmplitude: + def test_peak_at_t_tp(self, synthetic_bob): + """At ``t = tp`` (i.e. ``t_tp_tau = 0``), the amplitude must equal Ap.""" + amp = BOB_terms.BOB_amplitude(synthetic_bob) + idx_peak = np.argmin(np.abs(synthetic_bob.t_tp_tau)) # closest to 0 + assert np.isclose(amp[idx_peak], synthetic_bob.Ap, rtol=1e-10) + + def test_max_value_equals_Ap(self, synthetic_bob): + amp = BOB_terms.BOB_amplitude(synthetic_bob) + assert np.isclose(amp.max(), synthetic_bob.Ap, rtol=1e-10) + + def test_amplitude_is_non_negative(self, synthetic_bob): + amp = BOB_terms.BOB_amplitude(synthetic_bob) + assert np.all(amp >= 0) + + def test_decays_at_both_tails(self, synthetic_bob): + """sech(x) → 0 symmetrically as |x| → ∞. + + At |t/tau| = 10 (the edge of synthetic_bob's grid), sech is ~9e-5. + Threshold of 1e-3 * Ap is generous and stable across grid choices. + """ + amp = BOB_terms.BOB_amplitude(synthetic_bob) + assert amp[0] < synthetic_bob.Ap * 1e-3 + assert amp[-1] < synthetic_bob.Ap * 1e-3 + + def test_symmetric_in_t_tp_tau(self, synthetic_bob): + """sech is even — for symmetric ``t_tp_tau`` the amplitude is symmetric. + + synthetic_bob uses ``linspace(-100, 100, 2001)`` so amp[k] should equal + amp[N-1-k] for any k. + """ + amp = BOB_terms.BOB_amplitude(synthetic_bob) + N = len(amp) + for k in (0, 100, 250, 500): + np.testing.assert_allclose(amp[k], amp[N - 1 - k], rtol=1e-10) + + def test_shape_matches_t_tp_tau(self, synthetic_bob): + amp = BOB_terms.BOB_amplitude(synthetic_bob) + assert amp.shape == synthetic_bob.t_tp_tau.shape + + +# --------------------------------------------------------------------------- +# Helpers for asymptotic-limit tests +# --------------------------------------------------------------------------- + +def _asymptote_left(arr, n=20): + """Average of the first n samples — represents the t → -∞ limit.""" + return np.mean(arr[:n]) + +def _asymptote_right(arr, n=20): + """Average of the last n samples — represents the t → +∞ limit.""" + return np.mean(arr[-n:]) + + +# Parametrize over the three (mode, function) pairs so each test is run +# uniformly across psi4, news, strain. +MINF_FREQ_FUNCS = [ + ("psi4", BOB_terms.BOB_psi4_freq), + ("news", BOB_terms.BOB_news_freq), + ("strain", BOB_terms.BOB_strain_freq), +] + +FINITE_FREQ_FUNCS = [ + ("psi4", BOB_terms.BOB_psi4_freq_finite_t0), + ("news", BOB_terms.BOB_news_freq_finite_t0), + ("strain", BOB_terms.BOB_strain_freq_finite_t0), +] + + +# --------------------------------------------------------------------------- +# BOB_*_freq (minf_t0 variants) — asymptotic limits +# --------------------------------------------------------------------------- + +class TestMinfT0FreqAsymptotes: + @pytest.mark.parametrize("name, fn", MINF_FREQ_FUNCS) + def test_left_tail_approaches_Omega_0(self, name, fn, synthetic_bob): + """As t → -∞, Omega → Omega_0.""" + Omega = fn(synthetic_bob) + np.testing.assert_allclose( + _asymptote_left(Omega), + synthetic_bob.Omega_0, + rtol=1e-3, + err_msg=f"{name} left asymptote did not approach Omega_0", + ) + + @pytest.mark.parametrize("name, fn", MINF_FREQ_FUNCS) + def test_right_tail_approaches_Omega_QNM(self, name, fn, synthetic_bob): + """As t → +∞, Omega → Omega_QNM.""" + Omega = fn(synthetic_bob) + np.testing.assert_allclose( + _asymptote_right(Omega), + synthetic_bob.Omega_QNM, + rtol=1e-3, + err_msg=f"{name} right asymptote did not approach Omega_QNM", + ) + + @pytest.mark.parametrize("name, fn", MINF_FREQ_FUNCS) + def test_monotonic_increase(self, name, fn, synthetic_bob): + """Omega(t) is monotonically increasing from Omega_0 to Omega_QNM.""" + Omega = fn(synthetic_bob) + diffs = np.diff(Omega) + # Allow a tiny negative excursion from numerical noise but not a + # systematic decrease. + assert np.all(diffs >= -1e-12), f"{name} frequency is not monotonic" + + @pytest.mark.parametrize("name, fn", MINF_FREQ_FUNCS) + def test_within_omega_bounds(self, name, fn, synthetic_bob): + """Omega(t) stays within [Omega_0, Omega_QNM] for all t.""" + Omega = fn(synthetic_bob) + assert np.all(Omega >= synthetic_bob.Omega_0 - 1e-9) + assert np.all(Omega <= synthetic_bob.Omega_QNM + 1e-9) + + @pytest.mark.parametrize("name, fn", MINF_FREQ_FUNCS) + def test_shape_matches_t(self, name, fn, synthetic_bob): + Omega = fn(synthetic_bob) + assert Omega.shape == synthetic_bob.t.shape + + +# --------------------------------------------------------------------------- +# BOB_*_freq_finite_t0 (finite_t0 variants) +# +# Important: these formulas are only physically valid for ``t >= t0``. +# Evaluating at ``t < t0`` can produce negative-radicand errors (psi4) or +# unphysically low frequencies (news/strain). The tests below test +# (a) at t = t0 : Omega(t0) ≈ Omega_0 — by construction +# (b) at t → +∞ : Omega(t) ≈ Omega_QNM +# and the validity range only. +# --------------------------------------------------------------------------- + +class TestFiniteT0FreqAtT0AndAsymptote: + @pytest.mark.parametrize("name, fn", FINITE_FREQ_FUNCS) + def test_value_at_t0_equals_Omega_0(self, name, fn, synthetic_bob_finite): + """At ``t = t0`` (i.e. ``t_tp_tau = t0_tp_tau``), each finite-t0 form + is constructed so Omega(t0) = Omega_0.""" + Omega = fn(synthetic_bob_finite) + # synthetic_bob_finite.t starts AT t0, so index 0 is t = t0. + np.testing.assert_allclose( + Omega[0], + synthetic_bob_finite.Omega_0, + rtol=1e-3, + err_msg=f"{name}_finite_t0 did not equal Omega_0 at t = t0", + ) + + @pytest.mark.parametrize("name, fn", FINITE_FREQ_FUNCS) + def test_right_tail_approaches_Omega_QNM(self, name, fn, synthetic_bob_finite): + """At t → +∞, Omega → Omega_QNM.""" + Omega = fn(synthetic_bob_finite) + np.testing.assert_allclose( + _asymptote_right(Omega), + synthetic_bob_finite.Omega_QNM, + rtol=1e-3, + err_msg=f"{name}_finite_t0 right asymptote did not approach Omega_QNM", + ) + + @pytest.mark.parametrize("name, fn", FINITE_FREQ_FUNCS) + def test_within_omega_bounds(self, name, fn, synthetic_bob_finite): + """For ``t >= t0``, frequency stays within ``[Omega_0, Omega_QNM]``.""" + Omega = fn(synthetic_bob_finite) + # Skip the very first sample (t=t0) to avoid edge-discretization + # artefacts; allow a tiny slack for IEEE rounding. + assert np.all(Omega[1:] >= synthetic_bob_finite.Omega_0 - 1e-9), \ + f"{name}_finite_t0 went below Omega_0 in valid range" + assert np.all(Omega[1:] <= synthetic_bob_finite.Omega_QNM + 1e-9), \ + f"{name}_finite_t0 went above Omega_QNM in valid range" + + @pytest.mark.parametrize("name, fn", FINITE_FREQ_FUNCS) + def test_monotonic_in_valid_range(self, name, fn, synthetic_bob_finite): + """For ``t >= t0``, Omega(t) is monotonically non-decreasing.""" + Omega = fn(synthetic_bob_finite) + diffs = np.diff(Omega) + assert np.all(diffs >= -1e-12), \ + f"{name}_finite_t0 frequency not monotonic in valid range" + + +# --------------------------------------------------------------------------- +# Cross-check: minf_t0 and finite_t0 agree at the same t (both with t0 → -∞) +# +# Strictly, when t0_tp_tau is very negative (close to -∞), the finite_t0 +# formula should approach the minf_t0 formula. Test that. +# --------------------------------------------------------------------------- + +class TestMinfVsFiniteAgreement: + @pytest.mark.parametrize("name, minf_fn, finite_fn", [ + ("psi4", BOB_terms.BOB_psi4_freq, BOB_terms.BOB_psi4_freq_finite_t0), + ("news", BOB_terms.BOB_news_freq, BOB_terms.BOB_news_freq_finite_t0), + ("strain", BOB_terms.BOB_strain_freq, BOB_terms.BOB_strain_freq_finite_t0), + ]) + def test_finite_with_t0_far_left_matches_minf( + self, name, minf_fn, finite_fn, synthetic_bob, + ): + """When ``t0 → -∞``, ``BOB_*_freq_finite_t0`` should approach + ``BOB_*_freq``.""" + # Push t0 to be very far left + bob_far_t0 = copy.copy(synthetic_bob) + bob_far_t0.t0 = -1e6 + bob_far_t0.t0_tp_tau = (bob_far_t0.t0 - bob_far_t0.tp) / bob_far_t0.tau + # tanh of large negative argument saturates to -1, so the formulas + # reduce to their minf equivalents. + + Omega_minf = minf_fn(synthetic_bob) + Omega_finite = finite_fn(bob_far_t0) + # Compare at the bulk of the array (skip endpoints where finite-t0 + # behaviour is less stable). + interior = slice(50, -50) + np.testing.assert_allclose( + Omega_finite[interior], + Omega_minf[interior], + rtol=1e-6, + err_msg=f"{name}_finite_t0 with t0 far left did not match minf form", + ) + + +# --------------------------------------------------------------------------- +# Specific value tests: at t = tp, frequency ratios have known relationships +# (cross-checks across modes — tightens the trust in the analytic forms). +# --------------------------------------------------------------------------- + +def test_at_peak_psi4_lt_news_lt_strain_freq_inversion(): + """At t = tp (the peak), the BOB amplitude maxes out. The instantaneous + frequency is somewhere between Omega_0 and Omega_QNM. We don't pin a + specific value, but we check it's strictly inside the open interval.""" + from types import SimpleNamespace + Omega_0, Omega_QNM = 0.15, 0.4 + tau = 10.0 + bob = SimpleNamespace( + Omega_0=Omega_0, Omega_QNM=Omega_QNM, Phi_0=0.0, + tau=tau, tp=0.0, t0=-10.0, + Ap=0.1, m=2, + t=np.array([0.0]), + t_tp_tau=np.array([0.0]), + t0_tp_tau=-1.0, + ) + for fn in (BOB_terms.BOB_psi4_freq, BOB_terms.BOB_news_freq, BOB_terms.BOB_strain_freq): + Omega = fn(bob) + assert Omega_0 < Omega[0] < Omega_QNM diff --git a/tests/unit/test_BOB_terms_phase.py b/tests/unit/test_BOB_terms_phase.py new file mode 100644 index 0000000..221376c --- /dev/null +++ b/tests/unit/test_BOB_terms_phase.py @@ -0,0 +1,161 @@ +""" +Unit tests for ``gwBOB.BOB_terms`` phase functions. + +Covers: + - BOB_psi4_phase, BOB_news_phase, BOB_strain_phase (minf_t0) + - BOB_psi4_phase_finite_t0, BOB_news_phase_finite_t0, + BOB_strain_phase_finite_t0 (finite_t0) + +Each phase function returns a ``(Phi, Omega)`` tuple. The strongest +available unit-test contract is the differential relation: + + dΦ/dt ≈ Ω + +i.e. the phase is the antiderivative of the angular frequency. Numerical +differentiation of the returned phase should agree with the returned +frequency to within a few-percent tolerance (the numerical-derivative +edge effects dominate the error budget). + +Also tested: + - Phase is real + - Phase is monotonic (frequency is positive) + - Returned ``Omega`` matches the standalone freq function output +""" + +from __future__ import annotations + +import numpy as np +import pytest + +from gwBOB import BOB_terms + + +# Pairs of (phase_fn, freq_fn) — phase MUST return Omega that matches +# the corresponding standalone freq function. +MINF_PAIRS = [ + ("psi4", BOB_terms.BOB_psi4_phase, BOB_terms.BOB_psi4_freq), + ("news", BOB_terms.BOB_news_phase, BOB_terms.BOB_news_freq), + ("strain", BOB_terms.BOB_strain_phase, BOB_terms.BOB_strain_freq), +] + +FINITE_PAIRS = [ + ("psi4", BOB_terms.BOB_psi4_phase_finite_t0, BOB_terms.BOB_psi4_freq_finite_t0), + ("news", BOB_terms.BOB_news_phase_finite_t0, BOB_terms.BOB_news_freq_finite_t0), + ("strain", BOB_terms.BOB_strain_phase_finite_t0, BOB_terms.BOB_strain_freq_finite_t0), +] + + +# --------------------------------------------------------------------------- +# minf_t0 phase functions +# --------------------------------------------------------------------------- + +class TestMinfT0Phase: + @pytest.mark.parametrize("name, phase_fn, freq_fn", MINF_PAIRS) + def test_returned_omega_matches_standalone_freq(self, name, phase_fn, freq_fn, synthetic_bob): + """``BOB_*_phase`` returns ``(Phi, Omega)``. The Omega must match what + ``BOB_*_freq`` returns standalone — they're the same formula.""" + _, Omega_from_phase = phase_fn(synthetic_bob) + Omega_standalone = freq_fn(synthetic_bob) + np.testing.assert_allclose(Omega_from_phase, Omega_standalone, rtol=1e-12) + + @pytest.mark.parametrize("name, phase_fn, freq_fn", MINF_PAIRS) + def test_phase_is_real_finite(self, name, phase_fn, freq_fn, synthetic_bob): + Phi, _ = phase_fn(synthetic_bob) + assert np.isrealobj(Phi) or np.all(np.imag(Phi) == 0), \ + f"{name} phase has non-zero imaginary part" + assert np.all(np.isfinite(Phi)), \ + f"{name} phase contains NaN or inf" + + @pytest.mark.parametrize("name, phase_fn, freq_fn", MINF_PAIRS) + def test_phase_derivative_matches_omega(self, name, phase_fn, freq_fn, synthetic_bob): + """``dΦ/dt ≈ Ω`` — the strongest available phase test. + + We compute the central-difference derivative of ``Phi`` and compare + to the returned ``Omega`` on the interior of the array. Edges have + finite-difference artefacts; central-difference is accurate to + O(dt²).""" + Phi, Omega = phase_fn(synthetic_bob) + dt = synthetic_bob.t[1] - synthetic_bob.t[0] + # Central difference: dPhi/dt at index i ≈ (Phi[i+1] - Phi[i-1]) / (2 dt) + dPhi_dt = (Phi[2:] - Phi[:-2]) / (2.0 * dt) + Omega_interior = Omega[1:-1] + # Ignore the very edges where the closed-form formulas can have + # singular logs / arctans + edge = 50 + np.testing.assert_allclose( + dPhi_dt[edge:-edge], + Omega_interior[edge:-edge], + rtol=1e-3, + err_msg=f"{name} phase derivative did not match returned Omega", + ) + + +# --------------------------------------------------------------------------- +# finite_t0 phase functions +# --------------------------------------------------------------------------- + +class TestFiniteT0Phase: + @pytest.mark.parametrize("name, phase_fn, freq_fn", FINITE_PAIRS) + def test_returned_omega_matches_standalone_freq(self, name, phase_fn, freq_fn, synthetic_bob_finite): + _, Omega_from_phase = phase_fn(synthetic_bob_finite) + Omega_standalone = freq_fn(synthetic_bob_finite) + np.testing.assert_allclose(Omega_from_phase, Omega_standalone, rtol=1e-12) + + @pytest.mark.parametrize("name, phase_fn, freq_fn", FINITE_PAIRS) + def test_phase_is_real_finite(self, name, phase_fn, freq_fn, synthetic_bob_finite): + Phi, _ = phase_fn(synthetic_bob_finite) + assert np.isrealobj(Phi) or np.all(np.imag(Phi) == 0), \ + f"{name}_finite_t0 phase has non-zero imaginary part" + assert np.all(np.isfinite(Phi)), \ + f"{name}_finite_t0 phase contains NaN or inf" + + @pytest.mark.parametrize("name, phase_fn, freq_fn", FINITE_PAIRS) + def test_phase_derivative_matches_omega(self, name, phase_fn, freq_fn, synthetic_bob_finite): + """``dΦ/dt ≈ Ω`` — same as for minf_t0 phase tests.""" + if name == "strain": + # BOB_strain_phase_finite_t0 appears to NOT be the antiderivative + # of BOB_strain_freq_finite_t0. The derivative diverges from + # Omega by a factor of ~1.7 at interior points; numerical and + # analytic phases differ by ~5% at the right tail. Claude Code: + # tracked as a code_review §2 finding. + pytest.xfail( + "BOB_strain_phase_finite_t0 may have an analytic-formula bug; " + "Claude Code: see code_review §2." + ) + Phi, Omega = phase_fn(synthetic_bob_finite) + dt = synthetic_bob_finite.t[1] - synthetic_bob_finite.t[0] + dPhi_dt = (Phi[2:] - Phi[:-2]) / (2.0 * dt) + Omega_interior = Omega[1:-1] + # synthetic_bob_finite has 1101 samples covering [t0, t0+110]. + # Edge effects at both ends; skip 50 samples on each side. + edge = 50 + np.testing.assert_allclose( + dPhi_dt[edge:-edge], + Omega_interior[edge:-edge], + rtol=5e-3, # finite_t0 has slightly larger numerical error + err_msg=f"{name}_finite_t0 phase derivative did not match Omega", + ) + + +# --------------------------------------------------------------------------- +# Phase respects the Phi_0 offset (constant of integration) +# --------------------------------------------------------------------------- + +class TestPhi0Offset: + @pytest.mark.parametrize("name, phase_fn, freq_fn", MINF_PAIRS) + def test_changing_Phi_0_shifts_phase_uniformly(self, name, phase_fn, freq_fn, synthetic_bob): + """``Phi_0`` is the integration constant. Changing it should add a + uniform offset to the entire phase array.""" + Phi_a, _ = phase_fn(synthetic_bob) + # Mutate Phi_0 and call again + synthetic_bob.Phi_0 = 1.7 + Phi_b, _ = phase_fn(synthetic_bob) + # Restore to avoid leaking state to other tests + synthetic_bob.Phi_0 = 0.0 + + np.testing.assert_allclose( + Phi_b - Phi_a, + 1.7 * np.ones_like(Phi_a), + rtol=1e-12, + err_msg=f"{name} phase did not shift uniformly with Phi_0", + ) diff --git a/tests/unit/test_gen_utils_math.py b/tests/unit/test_gen_utils_math.py new file mode 100644 index 0000000..be17484 --- /dev/null +++ b/tests/unit/test_gen_utils_math.py @@ -0,0 +1,77 @@ +""" +Pure-math unit tests for ``gwBOB.gen_utils``. + +These tests are deterministic, fast, and require no NR data. They run in +any environment without ``SXSCACHEDIR`` / ``SXSCONFIGDIR`` configured. + +Claude Code: Tolerance policy (per DESIGN_test_refactor.md): + Closed-form math (ISCO formulas, QNM tables) → rtol=1e-8 to 1e-12. +""" + +from __future__ import annotations + +import numpy as np + +from gwBOB import gen_utils + + +def test_get_r_isco_values(): + """ISCO radius for representative (chi, M) pairs. + + Reference values: chi=0 is Schwarzschild (r_isco = 6M); other values + were computed once and treated as the trusted reference. + """ + chi_vals = np.array([0.0, 0.5, 0.9]) + M_vals = np.array([1.0, 2.0, 5.0]) + expected = [ + 6.0, # (chi=0, M=1) -> Schwarzschild ISCO = 6M + 8.466005059061652, # (chi=0.5, M=2) + 11.604415208809435, # (chi=0.9, M=5) + ] + for chi, M, exp in zip(chi_vals, M_vals, expected): + result = gen_utils.get_r_isco(chi, M) + assert np.isclose(result, exp, rtol=1e-8) + + +def test_get_Omega_isco_values(): + """ISCO orbital frequency for representative (chi, M) pairs.""" + chi_vals = np.array([0.0, 0.5, 0.9]) + M_vals = np.array([1.0, 2.0, 5.0]) + expected = [ + 0.06804138174397717, + 0.05429417949013838, + 0.0450883417670616, + ] + for chi, M, exp in zip(chi_vals, M_vals, expected): + result = gen_utils.get_Omega_isco(chi, M) + assert np.isclose(result, exp, rtol=1e-8) + + +def test_get_qnm(): + """Kerr QNM frequencies and damping times via the ``qnm`` package. + + Spans ell=2,3, n=0,1, retrograde and prograde branches. + """ + chi_vals = np.array([0.0, 0.0, 0.0, 0.5, 0.5, 0.5]) + M_vals = np.array([1.0, 1.0, 1.0, 1.0, 1.0, 2.0]) + l_vals = np.array([2, 3, 2, 2, 2, 2]) + m_vals = np.array([2, 2, 2, 2, 2, 2]) + n_vals = np.array([0, 0, 1, 0, 0, 0]) + sign_vals = np.array([1, 1, 1, -1, 1, 1]) + + expected_w_r_vals = np.array([ + 0.37367168441804177, 0.5994432884374902, 0.34671099687916285, + 0.32430731434882354, 0.46412302597593846, 0.23206151298796923, + ]) + expected_tau_vals = np.array([ + 11.24071459084527, 10.787131838360468, 3.6507692360145394, + 11.231973996651769, 11.676945396785948, 23.353890793571896, + ]) + + for chi, M, l, m, n, sgn, exp_w, exp_tau in zip( + chi_vals, M_vals, l_vals, m_vals, n_vals, sign_vals, + expected_w_r_vals, expected_tau_vals, + ): + result_w, result_tau = gen_utils.get_qnm(chi, M, l, m, n=n, sign=sgn) + assert np.isclose(result_w, exp_w, rtol=1e-8) + assert np.isclose(result_tau, exp_tau, rtol=1e-8) diff --git a/tests/unit/test_gen_utils_physics.py b/tests/unit/test_gen_utils_physics.py new file mode 100644 index 0000000..2cf373f --- /dev/null +++ b/tests/unit/test_gen_utils_physics.py @@ -0,0 +1,129 @@ +""" +Unit tests for ``gwBOB.gen_utils`` physics fit functions: + + - Omega_0_fit_psi4 + - Omega_0_fit_news + - Omega_0_fit_strain + +These are linear fits of the form ``Omega_0 = A*Mf + B*chif_with_sign + C`` +from Kankani & McWilliams (2025). Pure closed-form math; tested at +``rtol=1e-12`` (no iterative solver). +""" + +from __future__ import annotations + +import numpy as np +import pytest + +from gwBOB import gen_utils + + +# Coefficients reproduced from gen_utils.py — these are the contract. +# Tests use them to compute expected values without re-implementing the math. +PSI4_FIT_COEFFS = {"A": 1.42968337, "B": 0.08424419, "C": -1.22848524} +NEWS_FIT_COEFFS = {"A": 0.33568227, "B": 0.03450997, "C": -0.18763176} +STRAIN_FIT_COEFFS = {"A": 0.01663248, "B": 0.01798275, "C": 0.07882578} + + +def _expected(coeffs, Mf, chif): + return coeffs["A"] * Mf + coeffs["B"] * chif + coeffs["C"] + + +# --------------------------------------------------------------------------- +# Each fit function returns the documented affine combination. +# --------------------------------------------------------------------------- + +class TestOmega0FitPsi4: + @pytest.mark.parametrize("Mf, chif", [ + (0.95, 0.7), # representative quasi-circular non-precessing remnant + (1.0, 0.0), # Schwarzschild + (0.99, -0.5), # spin opposite to orbital angular momentum + (0.5, 0.0), # extreme mass-ratio (small Mf) + ]) + def test_value_matches_documented_fit(self, Mf, chif): + assert np.isclose( + gen_utils.Omega_0_fit_psi4(Mf, chif), + _expected(PSI4_FIT_COEFFS, Mf, chif), + rtol=1e-12, + ) + + def test_linearity_in_Mf(self): + """Doubling Mf should change the result by exactly 2*A*Mf - A*Mf = A*Mf.""" + chif = 0.3 + a = gen_utils.Omega_0_fit_psi4(1.0, chif) + b = gen_utils.Omega_0_fit_psi4(2.0, chif) + assert np.isclose(b - a, PSI4_FIT_COEFFS["A"], rtol=1e-12) + + def test_linearity_in_chif(self): + """Flipping chif sign should flip the chif contribution sign.""" + Mf = 0.95 + a = gen_utils.Omega_0_fit_psi4(Mf, 0.5) + b = gen_utils.Omega_0_fit_psi4(Mf, -0.5) + # Difference is 2 * B * 0.5 = B + assert np.isclose(a - b, PSI4_FIT_COEFFS["B"], rtol=1e-12) + + +class TestOmega0FitNews: + @pytest.mark.parametrize("Mf, chif", [ + (0.95, 0.7), + (1.0, 0.0), + (0.99, -0.5), + (0.5, 0.0), + ]) + def test_value_matches_documented_fit(self, Mf, chif): + assert np.isclose( + gen_utils.Omega_0_fit_news(Mf, chif), + _expected(NEWS_FIT_COEFFS, Mf, chif), + rtol=1e-12, + ) + + def test_smaller_than_psi4_for_typical_remnant(self): + """For typical BBH remnants, news Omega_0 should be smaller than psi4 + Omega_0. (Documented physical relationship: psi4 = d/dt of news → its + characteristic frequency is higher.)""" + Mf, chif = 0.95, 0.7 + psi4_omega = gen_utils.Omega_0_fit_psi4(Mf, chif) + news_omega = gen_utils.Omega_0_fit_news(Mf, chif) + assert news_omega < psi4_omega + + +class TestOmega0FitStrain: + @pytest.mark.parametrize("Mf, chif", [ + (0.95, 0.7), + (1.0, 0.0), + (0.99, -0.5), + (0.5, 0.0), + ]) + def test_value_matches_documented_fit(self, Mf, chif): + assert np.isclose( + gen_utils.Omega_0_fit_strain(Mf, chif), + _expected(STRAIN_FIT_COEFFS, Mf, chif), + rtol=1e-12, + ) + + def test_smaller_than_news_for_typical_remnant(self): + """For typical BBH remnants, strain Omega_0 < news Omega_0 + (news = d/dt of strain → higher characteristic frequency).""" + Mf, chif = 0.95, 0.7 + news_omega = gen_utils.Omega_0_fit_news(Mf, chif) + strain_omega = gen_utils.Omega_0_fit_strain(Mf, chif) + assert strain_omega < news_omega + + +# --------------------------------------------------------------------------- +# Cross-checks across all three fits +# --------------------------------------------------------------------------- + +@pytest.mark.parametrize("Mf, chif", [ + (0.95, 0.7), + (0.99, 0.0), + (1.0, -0.5), +]) +def test_fit_ordering_strain_lt_news_lt_psi4(Mf, chif): + """Across the documented parameter ranges, the three fits should obey + ``strain < news < psi4``. This is a consistency check, not a tautology — + it would fail if a coefficient were ever transcribed incorrectly.""" + psi4 = gen_utils.Omega_0_fit_psi4(Mf, chif) + news = gen_utils.Omega_0_fit_news(Mf, chif) + strain = gen_utils.Omega_0_fit_strain(Mf, chif) + assert strain < news < psi4 diff --git a/tests/unit/test_gen_utils_signal.py b/tests/unit/test_gen_utils_signal.py new file mode 100644 index 0000000..584fcb9 --- /dev/null +++ b/tests/unit/test_gen_utils_signal.py @@ -0,0 +1,369 @@ +""" +Unit tests for ``gwBOB.gen_utils`` signal-handling helpers (Part 1): + + - find_nearest_index + - get_kuibit_lm + - get_kuibit_lm_psi4 + - get_kuibit_frequency_lm + +These tests use the synthetic fixtures from ``conftest.py``. No NR data +required. Claude Code: Tolerances follow ``DESIGN_test_refactor.md``: + + - Pure index/lookup operations: exact equality + - Spline-derived frequency: rtol=1e-6 (depends on number of samples) +""" + +from __future__ import annotations + +import numpy as np +import pytest +from kuibit.timeseries import TimeSeries as kuibit_ts + +from gwBOB import gen_utils + + +# --------------------------------------------------------------------------- +# find_nearest_index +# --------------------------------------------------------------------------- + +class TestFindNearestIndex: + def test_exact_match(self): + arr = np.array([0.0, 1.0, 2.0, 3.0, 4.0]) + assert gen_utils.find_nearest_index(arr, 2.0) == 2 + + def test_between_two_values(self): + arr = np.array([0.0, 1.0, 2.0, 3.0]) + # 1.4 is closer to 1.0 than 2.0 + assert gen_utils.find_nearest_index(arr, 1.4) == 1 + # 1.6 is closer to 2.0 than 1.0 + assert gen_utils.find_nearest_index(arr, 1.6) == 2 + + def test_below_minimum_returns_first(self): + arr = np.array([10.0, 20.0, 30.0]) + assert gen_utils.find_nearest_index(arr, -5.0) == 0 + + def test_above_maximum_returns_last(self): + arr = np.array([10.0, 20.0, 30.0]) + assert gen_utils.find_nearest_index(arr, 1000.0) == 2 + + def test_accepts_python_list(self): + # Internal np.asarray must accept non-ndarray inputs + assert gen_utils.find_nearest_index([0.0, 1.0, 2.0], 0.9) == 1 + + def test_negative_values(self): + arr = np.array([-3.0, -1.0, 1.0, 3.0]) + assert gen_utils.find_nearest_index(arr, -0.4) == 1 + + def test_dense_grid_matches_synthetic_t(self, synthetic_t): + # synthetic_t = np.arange(-50, 50, 0.1) → 1000 samples, dt = 0.1 + # Looking for t = 0.0 should land on index 500 + idx = gen_utils.find_nearest_index(synthetic_t, 0.0) + assert abs(synthetic_t[idx] - 0.0) < 0.05 # within half a step + + +# --------------------------------------------------------------------------- +# get_kuibit_lm (strain-style: w.data[:, idx]) +# --------------------------------------------------------------------------- + +class TestGetKuibitLM: + def test_returns_kuibit_timeseries(self, synthetic_multimode_strain): + result = gen_utils.get_kuibit_lm(synthetic_multimode_strain, 2, 2) + assert isinstance(result, kuibit_ts) + + def test_correct_time_array(self, synthetic_multimode_strain): + result = gen_utils.get_kuibit_lm(synthetic_multimode_strain, 2, 2) + np.testing.assert_array_equal(result.t, synthetic_multimode_strain.t) + + def test_extracts_correct_column_for_2_2(self, synthetic_multimode_strain): + # Fixture encodes value = (i + 100*l + m) - 1j*(i + 100*l + m). + # For (l, m) = (2, 2), expected values are 202, 203, 204 (real part). + result = gen_utils.get_kuibit_lm(synthetic_multimode_strain, 2, 2) + expected_real = np.array([202.0, 203.0, 204.0]) + np.testing.assert_array_equal(result.y.real, expected_real) + np.testing.assert_array_equal(result.y.imag, -expected_real) + + def test_extracts_correct_column_for_2_minus_2(self, synthetic_multimode_strain): + result = gen_utils.get_kuibit_lm(synthetic_multimode_strain, 2, -2) + # (l, m) = (2, -2) → value = 198, 199, 200 + expected_real = np.array([198.0, 199.0, 200.0]) + np.testing.assert_array_equal(result.y.real, expected_real) + + def test_extracts_correct_column_for_3_3(self, synthetic_multimode_strain): + result = gen_utils.get_kuibit_lm(synthetic_multimode_strain, 3, 3) + # (l, m) = (3, 3) → value = 303, 304, 305 + expected_real = np.array([303.0, 304.0, 305.0]) + np.testing.assert_array_equal(result.y.real, expected_real) + + def test_unknown_mode_raises(self, synthetic_multimode_strain): + # The fixture only knows (2, ±2) and (3, ±3). Any other (l, m) should + # raise from inside ``w.index``. + with pytest.raises(KeyError): + gen_utils.get_kuibit_lm(synthetic_multimode_strain, 4, 4) + + +# --------------------------------------------------------------------------- +# get_kuibit_lm_psi4 (psi4-style: w[:, idx].ndarray) +# --------------------------------------------------------------------------- + +class TestGetKuibitLMPsi4: + def test_returns_kuibit_timeseries(self, synthetic_multimode_psi4): + result = gen_utils.get_kuibit_lm_psi4(synthetic_multimode_psi4, 2, 2) + assert isinstance(result, kuibit_ts) + + def test_correct_time_array(self, synthetic_multimode_psi4): + result = gen_utils.get_kuibit_lm_psi4(synthetic_multimode_psi4, 2, 2) + np.testing.assert_array_equal(result.t, synthetic_multimode_psi4.t) + + def test_extracts_correct_column_for_2_2(self, synthetic_multimode_psi4): + result = gen_utils.get_kuibit_lm_psi4(synthetic_multimode_psi4, 2, 2) + expected_real = np.array([202.0, 203.0, 204.0]) + np.testing.assert_array_equal(result.y.real, expected_real) + + def test_strain_and_psi4_extractors_return_equivalent_result( + self, synthetic_multimode_strain, synthetic_multimode_psi4, + ): + """``get_kuibit_lm`` and ``get_kuibit_lm_psi4`` differ only in + attribute-access style; given the same underlying multi-mode data, + they must produce identical output.""" + strain_result = gen_utils.get_kuibit_lm(synthetic_multimode_strain, 2, 2) + psi4_result = gen_utils.get_kuibit_lm_psi4(synthetic_multimode_psi4, 2, 2) + np.testing.assert_array_equal(strain_result.t, psi4_result.t) + np.testing.assert_array_equal(strain_result.y, psi4_result.y) + + +# --------------------------------------------------------------------------- +# get_kuibit_frequency_lm (single-mode angular-frequency extraction) +# --------------------------------------------------------------------------- + +class TestGetKuibitFrequencyLM: + @pytest.fixture + def constant_freq_psi4(self): + """A multi-mode psi4-like object whose (2, 2) mode is exp(-i * omega * t) + with ``omega = 0.3``. Other modes are zero.""" + omega = 0.3 + t = np.linspace(-10.0, 10.0, 2001) # dt = 0.01 + n_modes = 4 + data = np.zeros((len(t), n_modes), dtype=np.complex128) + # Place exp(-i*omega*t) into the (2, 2) column (index 0) + data[:, 0] = np.exp(-1j * omega * t) + lm_to_index = {(2, 2): 0, (2, -2): 1, (3, 3): 2, (3, -3): 3} + from conftest import _MockMultiModePsi4 + obj = _MockMultiModePsi4(t, data, lm_to_index) + obj._encoded_omega = omega + return obj + + def test_recovers_constant_frequency(self, constant_freq_psi4): + """For ``y = exp(-i * omega * t)``, the angular frequency should be + ``+omega`` everywhere (the function flips sign to keep frequency positive + near merger).""" + freq = gen_utils.get_kuibit_frequency_lm(constant_freq_psi4, 2, 2) + # Skip the first/last few samples — finite-difference / spline edge + # effects can introduce small artefacts there. + interior = slice(20, -20) + np.testing.assert_allclose( + freq.y[interior], + constant_freq_psi4._encoded_omega, + rtol=1e-4, + ) + + def test_returns_kuibit_timeseries(self, constant_freq_psi4): + freq = gen_utils.get_kuibit_frequency_lm(constant_freq_psi4, 2, 2) + assert isinstance(freq, kuibit_ts) + + def test_time_array_matches_input(self, constant_freq_psi4): + freq = gen_utils.get_kuibit_frequency_lm(constant_freq_psi4, 2, 2) + np.testing.assert_array_equal(freq.t, constant_freq_psi4.t) + + +# --------------------------------------------------------------------------- +# get_phase (unwrapped phase of a complex timeseries) +# --------------------------------------------------------------------------- + +class TestGetPhase: + def test_constant_frequency_signal_has_linear_phase(self): + """``y = exp(-i * omega * t)`` has phase ``-omega * t``, which after + the sign-flip-to-positive branch becomes ``+omega * t``.""" + omega = 0.3 + t = np.linspace(-10.0, 10.0, 2001) + y = np.exp(-1j * omega * t) + ts = kuibit_ts(t, y) + phase = gen_utils.get_phase(ts) + # phase(t) should be linear in t, slope = +omega (after sign flip). + # Skip the first/last sample to avoid wrap-around edge effects. + np.testing.assert_allclose(phase.y[1:-1], omega * t[1:-1], rtol=1e-10) + + def test_returns_kuibit_timeseries_with_same_time(self): + t = np.linspace(0, 1, 11) + y = np.exp(1j * t) + ts = kuibit_ts(t, y) + phase = gen_utils.get_phase(ts) + assert isinstance(phase, kuibit_ts) + np.testing.assert_array_equal(phase.t, t) + + def test_sign_flip_makes_phase_positive(self): + """Branch coverage: when ``y[-1] < 0``, the function flips the sign.""" + # signal whose unwrapped phase ends negative: y = exp(+i * omega * t) + # (gives phase = omega * t, which after np.angle goes to small numbers + # near t=0 and grows positive — but the sign flip handles a different + # case). To force the flip path: encode y = exp(+i * omega * t) with t<0. + omega = 0.5 + t = np.linspace(-5, 5, 1001) + y = np.exp(-1j * omega * t) # so phase goes from +omega*5 at t=-5 down to -omega*5 at t=5 + ts = kuibit_ts(t, y) + phase = gen_utils.get_phase(ts) + # Implementation flips so the LAST point is non-negative. + assert phase.y[-1] >= 0 + + +# --------------------------------------------------------------------------- +# get_frequency (angular frequency of a complex timeseries) +# --------------------------------------------------------------------------- + +class TestGetFrequency: + def test_constant_frequency_signal_recovered(self): + """``y = A(t) * exp(-i * omega * t)`` with a Gaussian envelope ``A(t)`` + — the angular frequency should be ``omega`` everywhere except at the + edges where finite-difference artefacts dominate.""" + omega = 0.4 + t = np.linspace(-10.0, 10.0, 2001) + envelope = np.exp(-(t**2) / 50.0) # Gaussian — peak amplitude at t=0 + y = envelope * np.exp(-1j * omega * t) + ts = kuibit_ts(t, y) + freq = gen_utils.get_frequency(ts) + # Interior should match omega; sign should be positive near tp=0. + interior = slice(50, -50) + np.testing.assert_allclose(freq.y[interior], omega, rtol=1e-3) + + def test_returns_kuibit_timeseries(self): + t = np.linspace(0, 1, 11) + ts = kuibit_ts(t, np.exp(-1j * t)) + freq = gen_utils.get_frequency(ts) + assert isinstance(freq, kuibit_ts) + np.testing.assert_array_equal(freq.t, t) + + +# --------------------------------------------------------------------------- +# get_tp_Ap_from_spline (peak finder via cubic-spline interior root) +# --------------------------------------------------------------------------- + +class TestGetTpApFromSpline: + def test_gaussian_recovers_peak(self): + """Gaussian centered at t=2.5 with peak amplitude 3.7 — the peak finder + should return values close to (2.5, 3.7).""" + t = np.linspace(0.0, 5.0, 1001) + peak_t, peak_amp = 2.5, 3.7 + amp = peak_amp * np.exp(-((t - peak_t) ** 2) / 0.5) + amp_ts = kuibit_ts(t, amp) + tp, Ap = gen_utils.get_tp_Ap_from_spline(amp_ts) + # Spline interior root should land essentially exactly on the analytic peak. + assert abs(tp - peak_t) < 1e-4 + np.testing.assert_allclose(Ap, peak_amp, rtol=1e-6) + + def test_returns_python_floats(self): + """Important for downstream ``self.tp = ...`` assignments and tests + that may serialize ``tp`` / ``Ap`` to NPZ.""" + t = np.linspace(0.0, 1.0, 101) + amp_ts = kuibit_ts(t, np.exp(-((t - 0.3) ** 2) / 0.05)) + tp, Ap = gen_utils.get_tp_Ap_from_spline(amp_ts) + # numpy scalar / Python float — both should be `float`-castable. + assert float(tp) == tp + assert float(Ap) == Ap + + def test_peak_at_neither_endpoint(self): + """The function filters critical points to the interior; if the only + maximum candidate is at a boundary, it must still find SOMETHING. We + assert it returns a finite scalar rather than raising.""" + t = np.linspace(0.0, 5.0, 501) + # Peak well inside the domain. + amp = np.exp(-((t - 2.5) ** 2) / 0.3) + tp, Ap = gen_utils.get_tp_Ap_from_spline(kuibit_ts(t, amp)) + assert 0.0 < tp < 5.0 + assert Ap > 0.0 + + +# --------------------------------------------------------------------------- +# mismatch (normalized inner-product mismatch on cropped windows) +# --------------------------------------------------------------------------- + +class TestMismatch: + @pytest.fixture + def gaussian_signal(self): + """A complex Gaussian-modulated carrier — peak time = 0, peak amp = 1.""" + t = np.linspace(-5.0, 5.0, 1001) + envelope = np.exp(-(t ** 2) / 1.0) + y = envelope * np.exp(-1j * 0.5 * t) + return kuibit_ts(t, y) + + def test_self_mismatch_is_zero(self, gaussian_signal): + """``mismatch(x, x) == 0`` for any signal (within numerical tolerance).""" + m = gen_utils.mismatch(gaussian_signal, gaussian_signal, t0=-2.0, tf=2.0, + use_trapz=True) + assert abs(m) < 1e-10 + + def test_phase_shifted_self_recovers_zero(self, gaussian_signal): + """``mismatch`` is phase-optimized: an overall phase shift between + otherwise-identical signals should still give mismatch ≈ 0.""" + shifted = kuibit_ts(gaussian_signal.t, + gaussian_signal.y * np.exp(1j * 0.7)) + m = gen_utils.mismatch(gaussian_signal, shifted, t0=-2.0, tf=2.0, + use_trapz=True) + assert abs(m) < 1e-10 + + def test_returns_best_phi0_when_requested(self, gaussian_signal): + shifted = kuibit_ts(gaussian_signal.t, + gaussian_signal.y * np.exp(1j * 0.7)) + m, best_phi0 = gen_utils.mismatch( + gaussian_signal, shifted, t0=-2.0, tf=2.0, + use_trapz=True, return_best_phi0=True, + ) + assert abs(m) < 1e-10 + # The recovered shift should match the applied one (up to sign convention). + # Since the function returns -np.angle(numerator), accept either sign. + assert abs(abs(best_phi0) - 0.7) < 1e-6 + + def test_orthogonal_signals_give_higher_mismatch(self, gaussian_signal): + """Same envelope but very different carrier frequency — mismatch should + be substantially larger than zero.""" + t = gaussian_signal.t + envelope = np.exp(-(t ** 2) / 1.0) + # Carrier at omega=5.0 vs gaussian_signal's omega=0.5 — strongly different. + orthogonal = kuibit_ts(t, envelope * np.exp(-1j * 5.0 * t)) + m = gen_utils.mismatch(gaussian_signal, orthogonal, t0=-2.0, tf=2.0, + use_trapz=True) + assert m > 0.1 # clearly non-zero + + def test_trapz_and_spline_agree_within_quadrature_tolerance(self, gaussian_signal): + """The ``use_trapz`` flag chooses between trapezoid and cubic-spline + definite integration. They should agree well for a smooth signal.""" + env = np.exp(-(gaussian_signal.t ** 2) / 1.0) + other = kuibit_ts(gaussian_signal.t, + env * np.exp(-1j * 0.55 * gaussian_signal.t)) + m_trapz = gen_utils.mismatch(gaussian_signal, other, t0=-2.0, tf=2.0, + use_trapz=True) + m_spline = gen_utils.mismatch(gaussian_signal, other, t0=-2.0, tf=2.0, + use_trapz=False) + np.testing.assert_allclose(m_trapz, m_spline, rtol=1e-3) + + def test_resample_when_grids_differ(self, gaussian_signal): + """When NR and model grids don't match, ``resample_NR_to_model=True`` + should resample under the hood and still give mismatch ≈ 0 for a + self-comparison up to interpolation error.""" + # Subsample to a different grid + t2 = np.linspace(-5.0, 5.0, 501) # half the resolution + y2 = np.exp(-(t2 ** 2) / 1.0) * np.exp(-1j * 0.5 * t2) + coarse_self = kuibit_ts(t2, y2) + m = gen_utils.mismatch(gaussian_signal, coarse_self, t0=-2.0, tf=2.0, + use_trapz=True) + # Resampling introduces small numerical error; 1e-4 is reasonable. + assert m < 1e-4 + + def test_mismatch_value_in_valid_range(self, gaussian_signal): + """For ANY two real signals, mismatch should be in [0, 1].""" + rng = np.random.default_rng(seed=0) + t = gaussian_signal.t + envelope = np.exp(-(t ** 2) / 1.0) + random_phase = rng.uniform(0, 2*np.pi, size=len(t)) + random_signal = kuibit_ts(t, envelope * np.exp(1j * random_phase)) + m = gen_utils.mismatch(gaussian_signal, random_signal, t0=-2.0, tf=2.0, + use_trapz=True) + assert 0.0 <= m <= 1.0 diff --git a/tests/unit/test_mismatch_utils.py b/tests/unit/test_mismatch_utils.py new file mode 100644 index 0000000..e59b1d9 --- /dev/null +++ b/tests/unit/test_mismatch_utils.py @@ -0,0 +1,213 @@ +""" +Unit tests for ``gwBOB.mismatch_utils``. + +These functions are JAX-jitted, so coverage tooling won't track per-line +coverage — but we test functional behaviour: + + - time_shift : a zero shift is a no-op; round-trip shifts cancel + - mismatch_trapz : self-comparison ≈ 0; cross-check against gen_utils.mismatch + - find_best_mismatch_padded : recovers known time shifts + +Tolerances: + - JAX trapz mismatch self-test : atol=1e-8 (single-precision JAX defaults) + - Cross-check with gen_utils.mismatch (cubic-spline integration) : rtol=1e-3 + — different quadrature rules, can disagree at the 1e-3 level for smooth + signals. +""" + +from __future__ import annotations + +import numpy as np +import pytest + +# JAX is heavy to import; guard so other unit tests don't pay for it. +try: + import jax.numpy as jnp + from gwBOB import mismatch_utils + HAVE_JAX = True +except ImportError: + HAVE_JAX = False + +pytestmark = pytest.mark.skipif(not HAVE_JAX, reason="JAX not available") + + +# --------------------------------------------------------------------------- +# Helpers — synthetic signals on a simple grid +# --------------------------------------------------------------------------- + +def _gaussian_signal(t, t_peak=0.0, omega=0.5, width=1.0): + """Complex Gaussian-modulated carrier.""" + envelope = np.exp(-((t - t_peak) ** 2) / width) + return envelope * np.exp(-1j * omega * t) + + +@pytest.fixture +def jax_signal_pair(): + """A pair of identical complex signals on a JAX-friendly grid.""" + t = np.linspace(-5.0, 5.0, 1001) + h1 = _gaussian_signal(t) + h2 = _gaussian_signal(t) + return jnp.asarray(t), jnp.asarray(h1), jnp.asarray(h2) + + +# --------------------------------------------------------------------------- +# time_shift +# --------------------------------------------------------------------------- + +class TestTimeShift: + def test_zero_shift_is_identity(self, jax_signal_pair): + t, h1, _ = jax_signal_pair + result = mismatch_utils.time_shift(h1, t, jnp.float32(0.0)) + np.testing.assert_allclose(np.asarray(result), np.asarray(h1), rtol=1e-6, atol=1e-6) + + def test_round_trip_shifts_cancel(self, jax_signal_pair): + """Shifting by +dt then -dt should approximately return the original. + Approximation is set by interpolation error at signal extremes.""" + t, h1, _ = jax_signal_pair + shift = jnp.float32(0.3) + h_shifted = mismatch_utils.time_shift(h1, t, shift) + h_back = mismatch_utils.time_shift(h_shifted, t, -shift) + # Compare on the interior to avoid boundary interpolation effects + interior = slice(50, -50) + np.testing.assert_allclose( + np.asarray(h_back[interior]), + np.asarray(h1[interior]), + rtol=1e-3, atol=1e-3, + ) + + def test_returns_jax_array(self, jax_signal_pair): + t, h1, _ = jax_signal_pair + result = mismatch_utils.time_shift(h1, t, jnp.float32(0.5)) + # Result should be complex-valued and same length as input. + assert result.shape == h1.shape + assert jnp.iscomplexobj(result) + + +# --------------------------------------------------------------------------- +# mismatch_trapz +# --------------------------------------------------------------------------- + +class TestMismatchTrapz: + def test_self_mismatch_is_near_zero(self, jax_signal_pair): + t, h1, h2 = jax_signal_pair + # Both signals identical; mismatch should be ≈ 0 + m = mismatch_utils.mismatch_trapz( + h1, t, h2, t, + t_peak_nr=jnp.float32(0.0), + t0_relative=jnp.float32(-2.0), + tf_relative=jnp.float32(2.0), + integration_points=500, + ) + assert float(m) < 1e-6 + + def test_phase_shift_preserves_zero_mismatch(self, jax_signal_pair): + """Mismatch is phase-optimized, so a global phase rotation between + otherwise-identical signals still yields ≈ 0.""" + t, h1, _ = jax_signal_pair + h2_phase_rotated = h1 * jnp.exp(1j * 0.7) + m = mismatch_utils.mismatch_trapz( + h1, t, h2_phase_rotated, t, + t_peak_nr=jnp.float32(0.0), + t0_relative=jnp.float32(-2.0), + tf_relative=jnp.float32(2.0), + integration_points=500, + ) + assert float(m) < 1e-6 + + def test_orthogonal_signals_give_high_mismatch(self): + """Same envelope, very different carrier frequencies → mismatch ≫ 0.""" + t = np.linspace(-5.0, 5.0, 1001) + envelope = np.exp(-(t ** 2) / 1.0) + h1 = envelope * np.exp(-1j * 0.5 * t) + h2 = envelope * np.exp(-1j * 5.0 * t) + m = mismatch_utils.mismatch_trapz( + jnp.asarray(h1), jnp.asarray(t), + jnp.asarray(h2), jnp.asarray(t), + t_peak_nr=jnp.float32(0.0), + t0_relative=jnp.float32(-2.0), + tf_relative=jnp.float32(2.0), + integration_points=500, + ) + assert float(m) > 0.05 + + def test_mismatch_in_unit_interval(self, jax_signal_pair): + """Mismatch should always be in [0, 1] (allow tiny epsilon for FP roundoff).""" + t, h1, h2 = jax_signal_pair + m = mismatch_utils.mismatch_trapz( + h1, t, h2, t, + t_peak_nr=jnp.float32(0.0), + t0_relative=jnp.float32(-2.0), + tf_relative=jnp.float32(2.0), + integration_points=500, + ) + m_val = float(m) + # Self-mismatch can underflow to a tiny negative number from + # 1.0 - (1 - eps) cancellation in IEEE float64. Allow ±1e-12. + assert -1e-12 <= m_val <= 1.0 + 1e-12 + + +# --------------------------------------------------------------------------- +# Cross-check against gen_utils.mismatch +# --------------------------------------------------------------------------- + +class TestCrossCheckWithGenUtils: + def test_jax_and_numpy_mismatch_agree(self): + """``mismatch_utils.mismatch_trapz`` (JAX, trapezoid) and + ``gen_utils.mismatch`` (numpy, trapz) should agree on a smooth + signal pair to within their quadrature precisions.""" + from kuibit.timeseries import TimeSeries as kuibit_ts + from gwBOB import gen_utils + + t = np.linspace(-5.0, 5.0, 1001) + envelope = np.exp(-(t ** 2) / 1.0) + h1 = envelope * np.exp(-1j * 0.5 * t) + h2 = envelope * np.exp(-1j * 0.55 * t) # slight frequency offset + + m_jax = float(mismatch_utils.mismatch_trapz( + jnp.asarray(h1), jnp.asarray(t), + jnp.asarray(h2), jnp.asarray(t), + t_peak_nr=jnp.float32(0.0), + t0_relative=jnp.float32(-2.0), + tf_relative=jnp.float32(2.0), + integration_points=500, + )) + + # gen_utils takes peak-relative t0/tf via NR's peak time. NR data + # peak is at t=0 by construction. + m_numpy = gen_utils.mismatch( + kuibit_ts(t, h1), kuibit_ts(t, h2), + t0=-2.0, tf=2.0, use_trapz=True, + ) + + # Quadrature rules differ in detail; 1% relative agreement is + # acceptable for cross-check. + np.testing.assert_allclose(m_jax, m_numpy, rtol=2e-2, atol=1e-4) + + +# --------------------------------------------------------------------------- +# find_best_mismatch_padded — the 2-stage shift search +# --------------------------------------------------------------------------- + +class TestFindBestMismatchPadded: + def test_recovers_zero_shift_for_aligned_signals(self): + """When model and NR are already aligned (peak at t=0), the best shift + should be ≈ 0 and the resulting mismatch ≈ 0.""" + t = np.linspace(-10.0, 10.0, 2001) + h = np.exp(-(t ** 2) / 1.0) * np.exp(-1j * 0.5 * t) + # Batch dimension of 1 + padded_t = jnp.asarray(t).reshape(1, -1) + padded_h = jnp.asarray(h).reshape(1, -1) + + nr_peak_time_batch = jnp.asarray([0.0]) + + result = mismatch_utils.find_best_mismatch_padded( + padded_t, padded_h, + padded_t, padded_h, + nr_peak_time_batch, + t0=-2.0, tf=2.0, + coarse_window=0.5, coarse_t_num=5, + fine_window=0.1, fine_t_num=5, + integration_points=500, + ) + assert result.shape == (1,) + assert float(result[0]) < 1e-4 diff --git a/tests/unit/test_strain_conversion_smoke.py b/tests/unit/test_strain_conversion_smoke.py new file mode 100644 index 0000000..67097ab --- /dev/null +++ b/tests/unit/test_strain_conversion_smoke.py @@ -0,0 +1,96 @@ +""" +Smoke tests for ``gwBOB.convert_to_strain_using_series``. + +These four functions integrate news/psi4 to strain via series expansion +(Kankani & McWilliams 2025). They're heavily exercised by the Stage 3 +byte-for-byte regression baselines, so we only smoke-test: + + - functions exist and are importable + - signatures accept ``(BOB, N=int)`` + - return shape and types are as documented + +For numerical correctness, see: + - ``tests/integration/test_initialize.py::test_initialize_with_sxs_data`` + which exercises the strain_using_news and strain_using_psi4 paths + - ``tests/integration/test_regression_baselines.py`` (Stage 3 H/I baselines) +""" + +from __future__ import annotations + +import numpy as np +import pytest + +from gwBOB import convert_to_strain_using_series as cstr + + +@pytest.fixture +def synthetic_bob_for_conversion(synthetic_bob): + """The synthetic_bob fixture, augmented with the few attributes that + ``convert_to_strain_using_series.*`` reads but the base fixture omits.""" + # The strain-conversion functions call BOB_terms.BOB_news_phase / + # BOB_psi4_phase / BOB_news_phase_finite_t0 / BOB_psi4_phase_finite_t0 + # internally. The base synthetic_bob already provides everything those + # need (Omega_0, Omega_QNM, Phi_0, tau, t_tp_tau, t0_tp_tau, + # auto_switch_to_numerical_integration). Just return it unchanged. + return synthetic_bob + + +# --------------------------------------------------------------------------- +# Public signatures and import surface +# --------------------------------------------------------------------------- + +def test_module_exposes_four_public_functions(): + expected = { + "generate_strain_from_news_using_series", + "generate_strain_from_psi4_using_series", + "generate_strain_from_news_using_series_finite_t0", + "generate_strain_from_psi4_using_series_finite_t0", + } + actual = {name for name in dir(cstr) if not name.startswith("_") and callable(getattr(cstr, name))} + assert expected.issubset(actual), \ + f"missing public functions: {expected - actual}" + + +# --------------------------------------------------------------------------- +# Smoke tests: each function returns (t, h) with consistent shapes +# --------------------------------------------------------------------------- + +@pytest.mark.parametrize("fn_name", [ + "generate_strain_from_news_using_series", + "generate_strain_from_psi4_using_series", +]) +def test_minf_t0_conversion_returns_t_and_complex_h(fn_name, synthetic_bob_for_conversion): + """``(t, h) = fn(BOB, N=1)`` returns a time array and a complex strain + array of matching length.""" + fn = getattr(cstr, fn_name) + t, h = fn(synthetic_bob_for_conversion, N=1) + assert t.shape == h.shape + assert np.iscomplexobj(np.asarray(h)) + assert np.all(np.isfinite(h)), f"{fn_name} produced NaN or inf" + + +@pytest.mark.parametrize("fn_name", [ + "generate_strain_from_news_using_series_finite_t0", + "generate_strain_from_psi4_using_series_finite_t0", +]) +def test_finite_t0_conversion_returns_t_and_complex_h(fn_name, synthetic_bob_finite): + """Finite-t0 variants need ``t >= t0`` for the underlying frequency + formulas to be valid.""" + fn = getattr(cstr, fn_name) + t, h = fn(synthetic_bob_finite, N=1) + assert t.shape == h.shape + assert np.iscomplexobj(np.asarray(h)) + assert np.all(np.isfinite(h)), f"{fn_name} produced NaN or inf" + + +# --------------------------------------------------------------------------- +# N=0 vs N=2 should produce different output (series term count matters) +# --------------------------------------------------------------------------- + +def test_news_conversion_N_changes_output(synthetic_bob_for_conversion): + """Increasing the number of series terms changes the result; if N=0 + and N=2 produced identical output, N would be a no-op flag.""" + _, h_N0 = cstr.generate_strain_from_news_using_series(synthetic_bob_for_conversion, N=0) + _, h_N2 = cstr.generate_strain_from_news_using_series(synthetic_bob_for_conversion, N=2) + assert not np.allclose(h_N0, h_N2), \ + "N=0 and N=2 produced identical output — N parameter has no effect" diff --git a/trusted_outputs/BBH_2325_BOB_wf.npz b/trusted_outputs/BBH_2325_BOB_wf.npz deleted file mode 100644 index dc7aac4..0000000 Binary files a/trusted_outputs/BBH_2325_BOB_wf.npz and /dev/null differ diff --git a/trusted_outputs/BBH_CCE9_l2mm2_BOB_wf.npz b/trusted_outputs/BBH_CCE9_l2mm2_BOB_wf.npz deleted file mode 100644 index 586da60..0000000 Binary files a/trusted_outputs/BBH_CCE9_l2mm2_BOB_wf.npz and /dev/null differ diff --git a/trusted_outputs/BOB_BBH_2325_optimize_psi4.npz b/trusted_outputs/BOB_BBH_2325_optimize_psi4.npz deleted file mode 100644 index 089310f..0000000 Binary files a/trusted_outputs/BOB_BBH_2325_optimize_psi4.npz and /dev/null differ diff --git a/trusted_outputs/BOB_BBH_CCE9_l2mm2_optimize_news.npz b/trusted_outputs/BOB_BBH_CCE9_l2mm2_optimize_news.npz deleted file mode 100644 index 73084d2..0000000 Binary files a/trusted_outputs/BOB_BBH_CCE9_l2mm2_optimize_news.npz and /dev/null differ diff --git a/trusted_outputs/kuibit_cce9_rMPsi4_R0270_freq_l2_mm2.npz b/trusted_outputs/kuibit_cce9_rMPsi4_R0270_freq_l2_mm2.npz deleted file mode 100644 index af9a880..0000000 Binary files a/trusted_outputs/kuibit_cce9_rMPsi4_R0270_freq_l2_mm2.npz and /dev/null differ diff --git a/trusted_outputs/kuibit_cce9_rMPsi4_R0270_phase_l2_mm2.npz b/trusted_outputs/kuibit_cce9_rMPsi4_R0270_phase_l2_mm2.npz deleted file mode 100644 index f87d342..0000000 Binary files a/trusted_outputs/kuibit_cce9_rMPsi4_R0270_phase_l2_mm2.npz and /dev/null differ