Placate flake8-comprehensions

Author: inducer

pytential/symbolic/elasticity.py

@@ -186,8 +186,8 @@ def _create_int_g(knl, deriv_dirs, density, **kwargs):
     for deriv_dir in deriv_dirs:
         knl = AxisTargetDerivative(deriv_dir, knl)
 
-    kernel_arg_names = set(karg.loopy_arg.name
-            for karg in (knl.get_args() + knl.get_source_args()))
+    kernel_arg_names = {karg.loopy_arg.name
+            for karg in (knl.get_args() + knl.get_source_args())}
 
     # When the kernel is Laplace, mu and nu are not kernel arguments
     # Also when nu==0.5, it's not a kernel argument to StokesletKernel

pytential/symbolic/pde/system_utils.py

@@ -431,8 +431,8 @@ def get_deriv_relation_kernel(kernel: ExpressionKernel,
     expr = _get_sympy_kernel_expression(kernel.expression, kernel_arguments)
     vec = []
     for i in range(len(mis)):
-        vec.append(evalf(expr.xreplace(dict((k, v) for
-            k, v in zip(sym_vec, rand[:, i])))))
+        vec.append(evalf(expr.xreplace
+                         ({k: v for k, v in zip(sym_vec, rand[:, i])})))
     vec = sym.Matrix(vec)
     result = []
     const = 0
@@ -518,9 +518,7 @@ def _get_base_kernel_matrix_lu_factorization(base_kernel: ExpressionKernel,
                 if nderivs == 0:
                     continue
                 expr = expr.diff(sym_vec[var_idx], nderivs)
-            replace_dict = dict(
-                (k, v) for k, v in zip(sym_vec, rand[:, rand_vec_idx])
-            )
+            replace_dict = {k: v for k, v in zip(sym_vec, rand[:, rand_vec_idx])}
             eval_expr = evalf(expr.xreplace(replace_dict))
             row.append(eval_expr)
         row.append(1)