Update README, run Black

Author: tanner-andrulis

README.md

@@ -1,9 +1,8 @@
 # AccelForge
 
 AccelForge is a framework to model and design tensor algebra accelerators. To learn
-more, see the [AccelForge website](https://accelergy-project.github.io/accelforge/).
-
-**Source Code**: The AccelForge source code is available on
+more, see the [AccelForge website](https://accelergy-project.github.io/accelforge/). The
+AccelForge source code is available on
 [GitHub](https://github.com/Accelergy-Project/accelforge).
 
 AccelForge uses [HWComponents](https://github.com/accelergy-project/hwcomponents)

accelforge/mapper/FFM/_make_pmappings/make_pmappings_from_templates/make_tile_shapes.py

@@ -376,6 +376,7 @@ def try_replace_single_term(
 ):
     return _try_replace_single_term(t, symbols_enumerated & t.free_symbols, bounds)
 
+
 @lru_cache(maxsize=10000)
 def _partition_formula(
     f: Expr,
@@ -1202,7 +1203,9 @@ def update_symbol2goal(
                 except (TypeError, ValueError):
                     pass
 
-            log_message("Partitioning formula", f"{objective.name}: {objective.formula}")
+            log_message(
+                "Partitioning formula", f"{objective.name}: {objective.formula}"
+            )
             goals = partition_formula(
                 objective.formula, sym_enumerated_set, what_tiles_symbol.bounds
             )

accelforge/mapper/FFM/mappings.py

@@ -89,9 +89,9 @@ def per_tensor_size(self, return_n_elements: bool = False) -> dict[TensorName, i
         dict[TensorName, int]
             A dictionary of: {Tensor name: Number of bits} for each tensor in the spec.
         """
-        assert self.evaluated_specs is not None, (
-            "Can't get per-tensor size if no Einsums have been mapped."
-        )
+        assert (
+            self.evaluated_specs is not None
+        ), "Can't get per-tensor size if no Einsums have been mapped."
         return get_per_tensor_size(
             next(iter(self.evaluated_specs.values())).workload,
             return_n_elements=return_n_elements,