prefer f-strings over string.format

Author: basnijholt

adaptive/learner/integrator_learner.py

@@ -390,7 +390,7 @@ def approximating_intervals(self):
 
     def tell(self, point, value):
         if point not in self.x_mapping:
-            raise ValueError("Point {} doesn't belong to any interval".format(point))
+            raise ValueError(f"Point {point} doesn't belong to any interval")
         self.done_points[point] = value
         self.pending_points.discard(point)
 

adaptive/runner.py

@@ -751,4 +751,4 @@ def _get_ncores(ex):
         ex.bootup()  # wait until all workers are up and running
         return ex._pool.size  # not public API!
     else:
-        raise TypeError("Cannot get number of cores for {}".format(ex.__class__))
+        raise TypeError(f"Cannot get number of cores for {ex.__class__}")

adaptive/tests/test_learners.py

@@ -75,7 +75,7 @@ def generate_random_parametrization(f):
     _, *params = inspect.signature(f).parameters.items()
     if any(not callable(v.annotation) for (p, v) in params):
         raise TypeError(
-            "All parameters to {} must be annotated with functions.".format(f.__name__)
+            f"All parameters to {f.__name__} must be annotated with functions."
         )
     realization = {p: v.annotation() for (p, v) in params}
     return ft.partial(f, **realization)