gh-37335: some details in modules (ruff and pep)
    
just fixing a few ruff warnings and code formatting details in the
`modules` folder

### 📝 Checklist

- [x] The title is concise, informative, and self-explanatory.
- [x] The description explains in detail what this PR is about.
    
URL: #37335
Reported by: Frédéric Chapoton
Reviewer(s): Matthias Köppe

Author: Release Manager

src/sage/modules/filtered_vector_space.py

@@ -806,7 +806,7 @@ def _repr_field_name(self):
             return 'RR'
         from sage.categories.finite_fields import FiniteFields
         if self.base_ring() in FiniteFields():
-            return 'GF({0})'.format(len(self.base_ring()))
+            return 'GF({})'.format(len(self.base_ring()))
         else:
             raise NotImplementedError()
 

src/sage/modules/fp_graded/free_element.py

@@ -193,7 +193,7 @@ def _lmul_(self, a):
              Sq(1,1,1)*x0 + Sq(1,1,1)*y0 + Sq(5,1)*z3,
              Sq(3,2)*z3]
         """
-        return self.parent()((a * c for c in self.dense_coefficient_list()))
+        return self.parent()(a * c for c in self.dense_coefficient_list())
 
     @cached_method
     def vector_presentation(self):

src/sage/modules/fp_graded/morphism.py

@@ -1747,7 +1747,7 @@ def _resolve_kernel(self, top_dim=None, verbose=False):
             if not kernel_n:
                 continue
 
-            generator_degrees = tuple((x.degree() for x in F_.generators()))
+            generator_degrees = tuple(x.degree() for x in F_.generators())
 
             if j.is_zero():
                 # The map j is not onto in degree `n` of the kernel.
@@ -1875,7 +1875,7 @@ def _resolve_image(self, top_dim=None, verbose=False):
             if image_n.dimension() == 0:
                 continue
 
-            generator_degrees = tuple((x.degree() for x in F_.generators()))
+            generator_degrees = tuple(x.degree() for x in F_.generators())
             if j.is_zero():
                 # The map j is not onto in degree `n` of the image.
                 new_generator_degrees = image_n.rank() * (n,)