diff --git a/.github/conda-lock/py3.12.conda-lock.yml b/.github/conda-lock/py3.12.conda-lock.yml index 0647a888d..a1700abfe 100644 --- a/.github/conda-lock/py3.12.conda-lock.yml +++ b/.github/conda-lock/py3.12.conda-lock.yml @@ -13,8 +13,8 @@ version: 1 metadata: content_hash: - linux-64: 3ae0a5ca5e5733e755d7762fbd197705d0e29672a6629a3913cbd1d76005dfbd - osx-arm64: 06504c64c0cb14253876d980f293c5496d30a61b23c456f94ff7f49b8f25234d + linux-64: 7923a281fe21af4bbefbf822d93adbb485eccab0f4f3961064e885edfb33d831 + osx-arm64: 110d2e6211e75f4e1b2981f6f8e8fce84f16442204bfd9bdeee05de032e0cfb0 channels: - url: conda-forge used_env_vars: [] @@ -104,43 +104,43 @@ package: category: main optional: false - name: aiobotocore - version: 3.9.1 + version: 3.9.2 manager: conda platform: linux-64 dependencies: aiohttp: '>=3.14.0,<4.0.0' aioitertools: '>=0.5.1,<1.0.0' - botocore: '>=1.43.66,<1.43.76' + botocore: '>=1.43.101,<1.43.107' jmespath: '>=0.7.1,<2.0.0' multidict: '>=6.0.0,<7.0.0' python: '>=3.11' python-dateutil: '>=2.1,<3.0.0' typing_extensions: '>=4.14.0,<5.0.0' wrapt: '>=1.10.10,<3.0.0' - 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name: zlib diff --git a/.github/conda-lock/py3.14.conda-lock.yml b/.github/conda-lock/py3.14.conda-lock.yml index ed7ab746d..db72f4be6 100644 --- a/.github/conda-lock/py3.14.conda-lock.yml +++ b/.github/conda-lock/py3.14.conda-lock.yml @@ -13,8 +13,8 @@ version: 1 metadata: content_hash: - linux-64: 24e2fe7cbc6ee521451e26f639b9ec9c0e28e1d7dbbf29a5c42f91935d09186c - osx-arm64: da0e54d9622596754d800f06bb9d3881194ebe867f9450ac8a784107401ce58a + linux-64: fdbfb011c5079237050350cccebbe8ff74caee324581632d4c6536bd83b9c014 + osx-arm64: 4fbc4bde87aff5a1e804126ddc53a0c92f2f3b325152ba4dd603aeb499f23103 channels: - url: conda-forge used_env_vars: [] @@ -104,43 +104,43 @@ package: category: main optional: false - name: aiobotocore - version: 3.9.1 + version: 3.9.2 manager: conda platform: linux-64 dependencies: aiohttp: '>=3.14.0,<4.0.0' aioitertools: '>=0.5.1,<1.0.0' - botocore: '>=1.43.66,<1.43.76' + botocore: '>=1.43.101,<1.43.107' jmespath: '>=0.7.1,<2.0.0' multidict: '>=6.0.0,<7.0.0' python: '>=3.11' python-dateutil: '>=2.1,<3.0.0' typing_extensions: '>=4.14.0,<5.0.0' wrapt: '>=1.10.10,<3.0.0' - 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name: zlib diff --git a/dependencies-validated.yaml b/dependencies-validated.yaml index 836789ed6..9de709888 100644 --- a/dependencies-validated.yaml +++ b/dependencies-validated.yaml @@ -5,10 +5,10 @@ # firecrown-deps-validated metapackage. # # The digest records which environment.yml the lockfiles were solved -# from, so that pins left behind by a manifest edit are detected. -environment-sha256: "8ada10463b470da5f4f2d7d49d676498d471c635cd770c1a7037b927387edcf8" +# from as historical metadata; --check verifies constraints from locks. +environment-sha256: "52bad1a39356cd718b23ced5b6cbe6a2174801a7ab5109885c91a87b2c62bd6d" constraints: - astropy: ">=8.0.1,<8.1" + astropy: ">=8.0.2,<8.1" camb: ">=1.6.5,<1.7" charset-normalizer: ">=3.5.1,<3.6" clmm: ">=1.16.10,<1.17" @@ -23,20 +23,20 @@ constraints: idna: ">=3.20,<3.21" lsstdesc-crow: ">=1.0.12,<1.1" matplotlib-base: ">=3.11.2,<3.12" - more-itertools: ">=11.1.0,<11.2" - numcosmo: ">=0.27.0,<0.28" + more-itertools: ">=11.2.1,<11.3" + numcosmo: ">=0.28.0,<0.29" numpy: ">=2.3.5,<2.4" - pip: ">=26.2.1,<26.3" + pip: ">=26.2.2,<26.3" portalocker: ">=3.2.0,<3.3" pybobyqa: ">=1.5.0,<1.6" pyccl: ">=3.3.6,<3.4" - pydantic: ">=2.13.5,<2.14" + pydantic: ">=2.14.1,<2.15" pyyaml: ">=6.0.3,<6.1" rich: ">=15.0.0,<15.1" sacc: ">=2.4,<2.5" scipy: ">=1.18.1,<1.19" tabulate: ">=0.10.0,<0.11" - typer: ">=0.27.2,<0.28" + typer: ">=0.27.3,<0.28" types-pyyaml: ">=6.0.12.20260906,<6.1" typing_extensions: ">=4.16.0,<4.17" urllib3: ">=2.8.0,<2.9" diff --git a/dependencies.yaml b/dependencies.yaml index 9f61155f0..ec98a4614 100644 --- a/dependencies.yaml +++ b/dependencies.yaml @@ -58,7 +58,8 @@ runtime: conda: false note: cobaya connector; not packaged on conda-forge - name: cosmosis - version: ">=3.0" + version: ">=3.0,<3.26" + note: 3.26 .mod files need gfortran 15; camb <2.0 holds compilers at 14 - name: cosmosis-build-standard-library pip: false import: false @@ -71,7 +72,7 @@ runtime: import: matplotlib note: firecrown sacc view - name: numcosmo - version: ">=0.27" + version: ">=0.28,<1.0" pip: numcosmo_py import: numcosmo_py - name: numpy @@ -121,6 +122,8 @@ devenv: - name: pandas note: tutorials - name: plotnine + - name: pygobject-stubs + version: "<2.18" - name: pylint - name: pytest - name: pytest-cov diff --git a/environment.yml b/environment.yml index 37e446e9c..3f89c1e38 100644 --- a/environment.yml +++ b/environment.yml @@ -11,7 +11,7 @@ dependencies: - charset-normalizer - clmm # part of the DESC stack; needed indirectly through lsstdesc-crow - compilers # two-phase cosmosis-standard-library installation - - cosmosis >=3.0 + - cosmosis >=3.0,<3.26 # 3.26 .mod files need gfortran 15; camb <2.0 holds compilers at 14 - cosmosis-build-standard-library - coverage - cython @@ -33,7 +33,7 @@ dependencies: - matplotlib-base # firecrown sacc view - more-itertools - mypy - - numcosmo >=0.27 + - numcosmo >=0.28,<1.0 - numpy >=2.0,<2.4 - pandas # tutorials - pip >=20.1 # installs cobaya, which conda-forge does not package @@ -46,6 +46,7 @@ dependencies: - pybobyqa - pyccl >=2.8.0 - pydantic + - pygobject-stubs <2.18 - pylint - pytest - pytest-cov diff --git a/firecrown/app/analysis/_numcosmo.py b/firecrown/app/analysis/_numcosmo.py index 83301dbb4..9249d4479 100644 --- a/firecrown/app/analysis/_numcosmo.py +++ b/firecrown/app/analysis/_numcosmo.py @@ -441,14 +441,14 @@ def _setup_cosmology( assert mapping is not None + prim = Nc.HIPrimPowerLaw.new() # pylint: disable=no-value-for-parameter + reion = Nc.HIReionCamb.new() # pylint: disable=no-value-for-parameter cosmo = Nc.HICosmoDECpl( - massnu_length=options.cosmo_spec.get_num_massive_neutrinos() + massnu_length=options.cosmo_spec.get_num_massive_neutrinos(), + prim=prim, + reion=reion, ) cosmo.omega_x2omega_k() - prim = Nc.HIPrimPowerLaw.new() # pylint: disable=no-value-for-parameter - reion = Nc.HIReionCamb.new() # pylint: disable=no-value-for-parameter - cosmo.add_submodel(prim) - cosmo.add_submodel(reion) mset.set(cosmo) _set_standard_params(options, mset, cosmo, prim, reion, priors) diff --git a/firecrown/app/examples/_cluster_data.py b/firecrown/app/examples/_cluster_data.py index 9b3e53d37..8bb39abb3 100644 --- a/firecrown/app/examples/_cluster_data.py +++ b/firecrown/app/examples/_cluster_data.py @@ -119,11 +119,9 @@ class StackedProfiles: def _numcosmo_cosmology() -> Nc.HICosmoDEXcdm: """Create the fiducial NumCosmo cosmology normalized to sigma8.""" - cosmo = Nc.HICosmoDEXcdm() reion = Nc.HIReionCamb.new() # pylint: disable=no-value-for-parameter prim = Nc.HIPrimPowerLaw.new() # pylint: disable=no-value-for-parameter - cosmo.add_submodel(reion) - cosmo.add_submodel(prim) + cosmo = Nc.HICosmoDEXcdm(prim=prim, reion=reion) psml = Nc.PowspecMLTransfer.new( Nc.TransferFuncEH.new() # pylint: disable=no-value-for-parameter diff --git a/firecrown/likelihood/_binned_cluster.py b/firecrown/likelihood/_binned_cluster.py index cc8b96cb8..d79b630f5 100644 --- a/firecrown/likelihood/_binned_cluster.py +++ b/firecrown/likelihood/_binned_cluster.py @@ -2,6 +2,8 @@ from __future__ import annotations +from abc import ABC + import numpy as np from crow.properties import ClusterProperty from crow.recipes.binned_parent import ( @@ -20,7 +22,7 @@ from firecrown.models.cluster import ClusterData, SaccBin -class BinnedCluster(Statistic): +class BinnedCluster(Statistic, ABC): """A statistic representing clusters in a z, mass bin.""" def __init__( diff --git a/firecrown/likelihood/_gaussfamily.py b/firecrown/likelihood/_gaussfamily.py index 7aaf013bf..7bd11e94b 100644 --- a/firecrown/likelihood/_gaussfamily.py +++ b/firecrown/likelihood/_gaussfamily.py @@ -3,6 +3,7 @@ from __future__ import annotations import warnings +from abc import ABC from collections.abc import Callable, Sequence from enum import Enum from functools import wraps @@ -113,7 +114,7 @@ def wrapper_repeat(*args: P.args, **kwargs: P.kwargs) -> T: return decorator_enforce_states -class GaussFamily(Likelihood): +class GaussFamily(Likelihood, ABC): """GaussFamily is the base class for likelihoods based on a chi-squared calculation. It provides an implementation of Likelihood.compute_chisq. Derived classes must diff --git a/firecrown/likelihood/_student_t.py b/firecrown/likelihood/_student_t.py index 466e128df..10dbb072c 100644 --- a/firecrown/likelihood/_student_t.py +++ b/firecrown/likelihood/_student_t.py @@ -4,6 +4,7 @@ from typing import cast import numpy as np +import numpy.typing as npt from firecrown.likelihood._gaussfamily import GaussFamily from firecrown.likelihood_base import Statistic @@ -43,3 +44,12 @@ def compute_loglike(self, tools: ModelingTools) -> float: """ chi2 = self.compute_chisq(tools) return -0.5 * self.nu * np.log(1.0 + chi2 / (self.nu - 1.0)) + + def make_realization_vector(self) -> npt.NDArray[np.float64]: + """Create a new realization of the model. + + Realizations are not available for the Student-t likelihood. + + :raises NotImplementedError: always. + """ + raise NotImplementedError("StudentT does not support realizations.") diff --git a/firecrown/likelihood_base.py b/firecrown/likelihood_base.py index e71080bce..90282ff47 100644 --- a/firecrown/likelihood_base.py +++ b/firecrown/likelihood_base.py @@ -14,7 +14,7 @@ from __future__ import annotations import warnings -from abc import abstractmethod +from abc import ABC, abstractmethod from collections.abc import Mapping, Sequence from dataclasses import dataclass, replace from typing import Annotated, Generic, Literal, TypeVar, cast, final @@ -1107,9 +1107,11 @@ def apply( return replace(tracer_arg, field=self.field) -class SourceGalaxy(Source, Generic[_SourceGalaxyArgsT]): +class SourceGalaxy(Source, Generic[_SourceGalaxyArgsT], ABC): """Source class for galaxy based sources.""" + tracer_args: _SourceGalaxyArgsT + def __init__( self, *, @@ -1129,7 +1131,6 @@ def __init__( self.systematics: UpdatableCollection[ SourceGalaxySystematic[_SourceGalaxyArgsT] ] = UpdatableCollection(systematics) - self.tracer_args: _SourceGalaxyArgsT def read_systematics(self, sacc_data: sacc.Sacc) -> None: """Read the systematics for this source from the SACC file. diff --git a/firecrown/models/two_point/_theory.py b/firecrown/models/two_point/_theory.py index af729c42c..9392d46fc 100644 --- a/firecrown/models/two_point/_theory.py +++ b/firecrown/models/two_point/_theory.py @@ -129,6 +129,6 @@ def get_tracers_and_scales( def generate_ells_for_interpolation(self) -> npt.NDArray[np.int64]: """Generate ells for interpolation.""" assert self.ells is not None - min_ell = int(self.ells[0]) - max_ell = int(self.ells[-1]) + min_ell = int(np.min(self.ells)) + max_ell = int(np.max(self.ells)) return self.interp_ells_gen.generate(min_ell, max_ell) diff --git a/pyproject.toml b/pyproject.toml index 0c476c73d..f17fb79b8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,12 +14,12 @@ dependencies = [ "astropy", "camb<2.0", "cobaya", - "cosmosis>=3.0", + "cosmosis>=3.0,<3.26", "fitsio", "isitgr", "lsstdesc-crow", "matplotlib", - "numcosmo_py>=0.27", + "numcosmo_py>=0.28,<1.0", "numpy>=2.0,<2.4", "pyccl>=2.8.0", "pydantic", diff --git a/tests/app/analysis/test_numcosmo_parameters.py b/tests/app/analysis/test_numcosmo_parameters.py index 1a630abbc..a592529ec 100644 --- a/tests/app/analysis/test_numcosmo_parameters.py +++ b/tests/app/analysis/test_numcosmo_parameters.py @@ -85,9 +85,8 @@ def test_set_amplitude_a_s_no_prior( ) # Create minimal NumCosmo objects with proper hierarchy - cosmo = Nc.HICosmoDECpl.new() # pylint: disable=no-value-for-parameter prim = Nc.HIPrimPowerLaw.new() # pylint: disable=no-value-for-parameter - cosmo.add_submodel(prim) + cosmo = Nc.HICosmoDECpl(prim=prim) mset = Ncm.MSet.new_array([cosmo]) priors: list[Ncm.Prior] = [] diff --git a/tests/connector/numcosmo/conftest.py b/tests/connector/numcosmo/conftest.py index a4e59b146..7c6c6d63e 100644 --- a/tests/connector/numcosmo/conftest.py +++ b/tests/connector/numcosmo/conftest.py @@ -10,7 +10,16 @@ @pytest.fixture(name="numcosmo_cosmo_xcdm") def fixture_numcosmo_cosmo_xcdm(): """Create a NumCosmo cosmology instance of XCDM.""" - cosmo = Nc.HICosmoDEXcdm(massnu_length=1) + prim = Nc.HIPrimPowerLaw.new() + prim.param_set_by_name( # pylint: disable=no-member + "ln10e10ASA", math.log(1.0e10 * 2.0e-09) + ) + prim.param_set_by_name("n_SA", 0.971) # pylint: disable=no-member + reion = Nc.HIReionCamb.new() + bbn = Nc.BBNParametrized.new() + bbn.param_set_by_name("Yp", 0.2454) # pylint: disable=no-member + + cosmo = Nc.HICosmoDEXcdm(massnu_length=1, prim=prim, reion=reion, bbn=bbn) cosmo.omega_x2omega_k() cosmo.param_set_by_name("H0", 68.2) cosmo.param_set_by_name("Omegak", 0.0) @@ -18,20 +27,9 @@ def fixture_numcosmo_cosmo_xcdm(): cosmo.param_set_by_name("Omegac", 0.118374058 / 0.682**2) cosmo.param_set_by_name("massnu_0", 0.06) cosmo.param_set_by_name("ENnu", 2.0328) - cosmo.param_set_by_name("Yp", 0.2454) cosmo.param_set_by_name("w", -1.0) - prim = Nc.HIPrimPowerLaw.new() - prim.param_set_by_name( # pylint: disable=no-member - "ln10e10ASA", math.log(1.0e10 * 2.0e-09) - ) - prim.param_set_by_name("n_SA", 0.971) # pylint: disable=no-member - - reion = Nc.HIReionCamb.new() - reion.set_z_from_tau(cosmo, 0.0561) # pylint: disable=no-member - - cosmo.add_submodel(prim) - cosmo.add_submodel(reion) + reion.set_z_from_tau(0.0561) # pylint: disable=no-member p_ml = Nc.PowspecMLTransfer.new(Nc.TransferFuncEH.new()) p_mnl = Nc.PowspecMNLHaloFit.new(p_ml, 3.0, 1.0e-5) @@ -44,27 +42,25 @@ def fixture_numcosmo_cosmo_xcdm(): @pytest.fixture(name="numcosmo_cosmo_xcdm_no_nu") def fixture_numcosmo_cosmo_xcdm_no_nu(): """Create a NumCosmo cosmology instance of XCDM without neutrinos.""" - cosmo = Nc.HICosmoDEXcdm() + prim = Nc.HIPrimPowerLaw.new() + prim.param_set_by_name( # pylint: disable=no-member + "ln10e10ASA", math.log(1.0e10 * 2.0e-09) + ) + prim.param_set_by_name("n_SA", 0.971) # pylint: disable=no-member + reion = Nc.HIReionCamb.new() + bbn = Nc.BBNParametrized.new() + bbn.param_set_by_name("Yp", 0.2454) # pylint: disable=no-member + + cosmo = Nc.HICosmoDEXcdm(prim=prim, reion=reion, bbn=bbn) cosmo.omega_x2omega_k() cosmo.param_set_by_name("H0", 68.2) cosmo.param_set_by_name("Omegak", 0.0) cosmo.param_set_by_name("Omegab", 0.022558514 / 0.682**2) cosmo.param_set_by_name("Omegac", 0.118374058 / 0.682**2) cosmo.param_set_by_name("ENnu", 3.046) - cosmo.param_set_by_name("Yp", 0.2454) cosmo.param_set_by_name("w", -1.0) - prim = Nc.HIPrimPowerLaw.new() - prim.param_set_by_name( # pylint: disable=no-member - "ln10e10ASA", math.log(1.0e10 * 2.0e-09) - ) - prim.param_set_by_name("n_SA", 0.971) # pylint: disable=no-member - - reion = Nc.HIReionCamb.new() - reion.set_z_from_tau(cosmo, 0.0561) # pylint: disable=no-member - - cosmo.add_submodel(prim) - cosmo.add_submodel(reion) + reion.set_z_from_tau(0.0561) # pylint: disable=no-member p_ml = Nc.PowspecMLTransfer.new(Nc.TransferFuncEH.new()) p_mnl = Nc.PowspecMNLHaloFit.new(p_ml, 3.0, 1.0e-5) @@ -79,28 +75,26 @@ def fixture_numcosmo_cosmo_cpl(): """Create a NumCosmo cosmology instance using CPL parametrization for the dark energy equation of state.""" - cosmo = Nc.HICosmoDECpl() + prim = Nc.HIPrimPowerLaw.new() + prim.param_set_by_name( # pylint: disable=no-member + "ln10e10ASA", math.log(1.0e10 * 2.0e-09) + ) + prim.param_set_by_name("n_SA", 0.971) # pylint: disable=no-member + reion = Nc.HIReionCamb.new() + bbn = Nc.BBNParametrized.new() + bbn.param_set_by_name("Yp", 0.2454) # pylint: disable=no-member + + cosmo = Nc.HICosmoDECpl(prim=prim, reion=reion, bbn=bbn) cosmo.omega_x2omega_k() cosmo.param_set_by_name("H0", 68.2) cosmo.param_set_by_name("Omegak", 0.0) cosmo.param_set_by_name("Omegab", 0.022558514 / 0.682**2) cosmo.param_set_by_name("Omegac", 0.118374058 / 0.682**2) cosmo.param_set_by_name("ENnu", 3.046) - cosmo.param_set_by_name("Yp", 0.2454) cosmo.param_set_by_name("w0", -1.0) cosmo.param_set_by_name("w1", 0.1) - prim = Nc.HIPrimPowerLaw.new() - prim.param_set_by_name( # pylint: disable=no-member - "ln10e10ASA", math.log(1.0e10 * 2.0e-09) - ) - prim.param_set_by_name("n_SA", 0.971) # pylint: disable=no-member - - reion = Nc.HIReionCamb.new() - reion.set_z_from_tau(cosmo, 0.0561) # pylint: disable=no-member - - cosmo.add_submodel(prim) - cosmo.add_submodel(reion) + reion.set_z_from_tau(0.0561) # pylint: disable=no-member p_ml = Nc.PowspecMLTransfer.new(Nc.TransferFuncEH.new()) p_mnl = Nc.PowspecMNLHaloFit.new(p_ml, 3.0, 1.0e-5) diff --git a/tests/connector/numcosmo/test_numcosmo_connector.py b/tests/connector/numcosmo/test_numcosmo_connector.py index 6ec78a4f8..c032e2b7d 100644 --- a/tests/connector/numcosmo/test_numcosmo_connector.py +++ b/tests/connector/numcosmo/test_numcosmo_connector.py @@ -455,9 +455,7 @@ def test_numcosmo_data_pure_ccl_mode(): model.params_set_default_ftype() # Create a basic cosmology model as well - cosmo = Nc.HICosmoDEXcdm() - cosmo.add_submodel(Nc.HIPrimPowerLaw.new()) - cosmo.add_submodel(Nc.HIReionCamb.new()) + cosmo = Nc.HICosmoDEXcdm(prim=Nc.HIPrimPowerLaw.new(), reion=Nc.HIReionCamb.new()) mset = Ncm.MSet() mset.set(cosmo) @@ -569,9 +567,7 @@ def test_numcosmo_gauss_cov_pure_ccl_mode(): model.params_set_default_ftype() # Create a basic cosmology model as well - cosmo = Nc.HICosmoDEXcdm() - cosmo.add_submodel(Nc.HIPrimPowerLaw.new()) - cosmo.add_submodel(Nc.HIReionCamb.new()) + cosmo = Nc.HICosmoDEXcdm(prim=Nc.HIPrimPowerLaw.new(), reion=Nc.HIReionCamb.new()) mset = Ncm.MSet() mset.set(cosmo) diff --git a/tests/connector/numcosmo/test_numcosmo_mapping.py b/tests/connector/numcosmo/test_numcosmo_mapping.py index a7017c37a..0098df044 100644 --- a/tests/connector/numcosmo/test_numcosmo_mapping.py +++ b/tests/connector/numcosmo/test_numcosmo_mapping.py @@ -188,9 +188,8 @@ def test_numcosmo_mapping_missing_hiprim(map_cosmo_dist: MappingNumCosmo): def test_numcosmo_mapping_invalid_hiprim(map_cosmo_dist: MappingNumCosmo): """Test the NumCosmo mapping connector with a model an invalid hiprim.""" - cosmo = Nc.HICosmoDECpl() prim = Nc.HIPrimAtan() - cosmo.add_submodel(prim) + cosmo = Nc.HICosmoDECpl(prim=prim) mset = Ncm.MSet() mset.set(cosmo) @@ -518,9 +517,7 @@ def test_mapping_ccl_args_bg_only(): assert mapping.p_ml is None assert mapping.p_mnl is None - cosmo = Nc.HICosmoDEXcdm() - cosmo.add_submodel(Nc.HIPrimPowerLaw.new()) - cosmo.add_submodel(Nc.HIReionCamb.new()) + cosmo = Nc.HICosmoDEXcdm(prim=Nc.HIPrimPowerLaw.new(), reion=Nc.HIReionCamb.new()) mset = Ncm.MSet.new_array([cosmo]) mset.prepare_fparam_map() @@ -540,9 +537,7 @@ def test_mapping_ccl_args_bg_pk_ml(): ) assert mapping.p_mnl is None - cosmo = Nc.HICosmoDEXcdm() - cosmo.add_submodel(Nc.HIPrimPowerLaw.new()) - cosmo.add_submodel(Nc.HIReionCamb.new()) + cosmo = Nc.HICosmoDEXcdm(prim=Nc.HIPrimPowerLaw.new(), reion=Nc.HIReionCamb.new()) mset = Ncm.MSet.new_array([cosmo]) mset.prepare_fparam_map() @@ -565,9 +560,7 @@ def test_mapping_ccl_args_bg_pk_ml_pk_mnl(): assert mapping.p_ml is not None assert mapping.p_mnl is not None - cosmo = Nc.HICosmoDEXcdm() - cosmo.add_submodel(Nc.HIPrimPowerLaw.new()) - cosmo.add_submodel(Nc.HIReionCamb.new()) + cosmo = Nc.HICosmoDEXcdm(prim=Nc.HIPrimPowerLaw.new(), reion=Nc.HIReionCamb.new()) mset = Ncm.MSet.new_array([cosmo]) mset.prepare_fparam_map() diff --git a/tests/likelihood/gauss_family/test_student_t.py b/tests/likelihood/gauss_family/test_student_t.py index 8e432da03..159a1577d 100644 --- a/tests/likelihood/gauss_family/test_student_t.py +++ b/tests/likelihood/gauss_family/test_student_t.py @@ -28,6 +28,12 @@ def test_require_nonempty_statistics(): _ = StudentT(statistics=[]) +def test_make_realization_vector_not_supported(trivial_stats): + likelihood = StudentT(statistics=trivial_stats) + with pytest.raises(NotImplementedError, match="StudentT"): + likelihood.make_realization_vector() + + def test_update_fails_before_read(trivial_stats, trivial_params_student_t): likelihood = StudentT(statistics=trivial_stats) with pytest.raises(AssertionError): diff --git a/tests/test_base_likelihood.py b/tests/test_base_likelihood.py index c7a75e3e8..7ecfa11e8 100644 --- a/tests/test_base_likelihood.py +++ b/tests/test_base_likelihood.py @@ -2,16 +2,14 @@ Tests for the module firecrown.likelihood.likelihood """ +import numpy as np import pytest import firecrown.likelihood._likelihood as lk -class DefectiveLikelihood(lk.Likelihood): - """This is a defective likelhood. - - It is lacking the required `make_realization_vector` method. - """ +class MinimalLikelihood(lk.Likelihood): + """A likelihood implementing every method of the base class trivially.""" def compute_loglike(self, _): return -1.0 @@ -19,7 +17,10 @@ def compute_loglike(self, _): def read(self, _): pass + def make_realization_vector(self): + return np.zeros(0) + def test_unimplemented_make_realization_vector(): with pytest.raises(NotImplementedError): - DefectiveLikelihood().make_realization_vector() + lk.Likelihood.make_realization_vector(MinimalLikelihood())