Address review comments

Author: StephenNneji

ratapi/inputs.py

@@ -151,6 +151,8 @@ def make_problem(project: ratapi.Project, validate_range: bool = False) -> Probl
     ----------
     project : RAT.Project
         The project model, which defines the physical system under study.
+    validate_range : bool, default True
+        Whether parameter range should be validated.
 
     Returns
     -------
@@ -366,7 +368,7 @@ def make_problem(project: ratapi.Project, validate_range: bool = False) -> Probl
             prior_values.append([prior_id[param.prior_type], param.mu, param.sigma])
             check_list.append(int(param.fit))
             if param.fit:
-                min_range = abs(param.value) * 1e-6 if param.value == 0 else 1e-6
+                min_range = 1e-6 if param.value == 0 else abs(param.value) * 1e-6
                 if validate_range and (param.max - param.min) < min_range:
                     warnings.warn(
                         f'{class_list.replace("_", " ").title()} "{param.name}" was removed from the '

tests/test_inputs.py

@@ -483,15 +483,19 @@ def test_make_problem(test_project, test_problem, request) -> None:
     check_problem_equal(problem, test_problem)
 
 
-def test_make_problem_validate_range(request) -> None:
+@pytest.mark.parametrize("value,min_range", [(0, 1e-6), (10, 1e-5)])
+def test_make_problem_validate_range(value, min_range, request) -> None:
     """The problem should not contain fitted parameters with small range."""
     test_project = request.getfixturevalue("standard_layers_project")
 
-    test_project.scalefactors.set_fields(0, min=10, value=10, max=10, fit=True)
+    test_project.scalefactors.set_fields(0, min=value, value=value, max=value, fit=True)
     problem = make_problem(test_project)
     assert problem.checks.scalefactors[0] == 1
 
-    with pytest.warns(UserWarning, match="was removed from the fit because its range is too small \(< 1e-06\)"):
+    with pytest.warns(
+        UserWarning,
+        match="was removed from the fit because its range is too small {0}(< {1:g}{0})".format("\\", min_range),
+    ):
         problem = make_problem(test_project, True)
     assert problem.checks.scalefactors[0] == 0