[pre-commit.ci] pre-commit autoupdate

.pre-commit-config.yaml

@@ -18,7 +18,7 @@ repos:
   - id: mixed-line-ending
     args: ['--fix=no']
 -   repo: https://github.com/PyCQA/flake8
-    rev: '7.0.0'  # pick a git hash / tag to point to
+    rev: '7.1.0'  # pick a git hash / tag to point to
     hooks:
     -   id: flake8
         additional_dependencies:
@@ -46,7 +46,7 @@ repos:
   - id: isort
 
 - repo: https://github.com/asottile/pyupgrade
-  rev: v3.16.0
+  rev: v3.17.0
   hooks:
   - id: pyupgrade
     args: [--py38-plus]

tests/test_cli.py

@@ -12,6 +12,7 @@ def tmpdir(tmp_path_factory) -> Path:
     return tmp_path_factory.mktemp("cli-tests")
 
 
+@pytest.mark.filterwarnings("ignore:'extrapolate_with_eh' was not set")
 def test_no_config_or_args(tmpdir: Path):
     runner = CliRunner()
     result = runner.invoke(main, ["run", "--outdir", str(tmpdir)])

tests/test_framework.py

@@ -17,7 +17,7 @@ def test_incorrect_argument():
 
 def test_incorrect_update_arg():
     with raises(ValueError):
-        t = hmf.MassFunction()
+        t = hmf.MassFunction(transfer_model="EH")
         t.update(wrong_arg=3)
 
 
@@ -28,19 +28,22 @@ def cls():
 
 @pytest.fixture(scope="class")
 def inst(cls):
-    return cls(z=10)
+    return cls(z=10, transfer_model="EH")
 
 
+@pytest.mark.filterwarnings("ignore:'extrapolate_with_eh' was not set")
 def test_parameter_names(cls):
     assert "cosmo_model" in cls.get_all_parameter_names()
 
 
+@pytest.mark.filterwarnings("ignore:'extrapolate_with_eh' was not set")
 def test_parameter_defaults(cls):
     assert type(cls.get_all_parameter_defaults(recursive=False)) is dict
 
     assert cls.get_all_parameter_defaults()["z"] == 0
 
 
+@pytest.mark.filterwarnings("ignore:'extrapolate_with_eh' was not set")
 def test_parameter_default_rec(cls):
     pd = cls.get_all_parameter_defaults(recursive=True)
     assert type(pd["cosmo_params"]) is dict
@@ -51,10 +54,12 @@ def test_param_values(inst):
     assert inst.parameter_values["z"] == 10
 
 
+@pytest.mark.filterwarnings("ignore:'extrapolate_with_eh' was not set")
 def test_qnt_avail(cls):
     assert "dndm" in cls.quantities_available()
 
 
+@pytest.mark.filterwarnings("ignore:'extrapolate_with_eh' was not set")
 def test_parameter_info(cls):
     assert cls.parameter_info() is None
     assert cls.parameter_info(names=["z"]) is None
@@ -95,9 +100,9 @@ def test_growth_plugins():
 
 def test_validate_inputs():
     with pytest.raises(AssertionError):
-        MassFunction(Mmin=10, Mmax=9)
+        MassFunction(Mmin=10, Mmax=9, transfer_model="EH")
 
-    m = MassFunction(Mmin=10, Mmax=11)
+    m = MassFunction(Mmin=10, Mmax=11, transfer_model="EH")
     with pytest.raises(AssertionError):
         m.update(Mmax=9)
 

tests/test_functional.py

@@ -25,6 +25,7 @@ def test_order():
             z=list(range(3)),
             hmf_model=["ST", "PS"],
             sigma_8=[0.7, 0.8],
+            transfer_model="EH",
         )
     ):
         print(i)

tests/test_hmf.py

@@ -46,6 +46,6 @@ def test_str_filter():
 
 
 def test_mass_nonlinear_outside_range():
-    h = MassFunction(Mmin=8, Mmax=9)
+    h = MassFunction(Mmin=8, Mmax=9, transfer_model="EH")
     with pytest.warns(UserWarning):
         assert h.mass_nonlinear > 0

tests/test_mdef.py

@@ -112,11 +112,13 @@ def test_change_dndm_bocquet():
         mdef_model="SOMean",
         mdef_params={"overdensity": 200},
         hmf_model="Bocquet200mDMOnly",
+        transfer_model="EH",
     )
     h200c = MassFunction(
         mdef_model="SOCritical",
         mdef_params={"overdensity": 200},
         hmf_model="Bocquet200cDMOnly",
+        transfer_model="EH",
     )
 
     np.testing.assert_allclose(h200m.fsigma / h200c.fsigma, h200m.dndm / h200c.dndm)

tests/test_transfer.py

@@ -96,6 +96,7 @@ def test_camb_w0wa():
         cosmo_model=w0waCDM(
             Om0=0.3, Ode0=0.7, w0=-1, wa=0.03, Ob0=0.05, H0=70.0, Tcmb0=2.7
         ),
+        transfer_params={"extrapolate_with_eh": True},
     )
     assert t.transfer_function.shape == t.k.shape
 
@@ -105,11 +106,13 @@ def test_camb_wCDM():
     t = Transfer(
         transfer_model="CAMB",
         cosmo_model=wCDM(Om0=0.3, Ode0=0.7, w0=-1, Ob0=0.05, H0=70.0, Tcmb0=2.7),
+        transfer_params={"extrapolate_with_eh": True},
     )
 
     t2 = Transfer(
         transfer_model="CAMB",
         cosmo_model=LambdaCDM(Om0=0.3, Ode0=0.7, Ob0=0.05, H0=70.0, Tcmb0=2.7),
+        transfer_params={"extrapolate_with_eh": True},
     )
     np.testing.assert_array_almost_equal(t.transfer_function, t2.transfer_function)