fix: format

llama_cpp/llama.py

@@ -197,13 +197,14 @@ class Llama:
         # kv_overrides is the original python dict
         self.kv_overrides = kv_overrides
         if kv_overrides is not None:
-
             # _kv_overrides_array is a ctypes.Array of llama_model_kv_override Structs
-            kvo_array_len = len(kv_overrides) + 1   # for sentinel element
-            self._kv_overrides_array = (llama_cpp.llama_model_kv_override * kvo_array_len)()
+            kvo_array_len = len(kv_overrides) + 1  # for sentinel element
+            self._kv_overrides_array = (
+                llama_cpp.llama_model_kv_override * kvo_array_len
+            )()
 
             for i, (k, v) in enumerate(kv_overrides.items()):
-                self._kv_overrides_array[i].key = k.encode('utf-8');
+                self._kv_overrides_array[i].key = k.encode("utf-8")
                 if isinstance(v, int):
                     self._kv_overrides_array[i].tag = llama_cpp.LLAMA_KV_OVERRIDE_INT
                     self._kv_overrides_array[i].value.int_value = v
@@ -216,7 +217,9 @@ class Llama:
                 else:
                     raise ValueError(f"Unknown value type for {k}: {v}")
 
-            self._kv_overrides_array[-1].key = b'\0'  # ensure sentinel element is zeroed
+            self._kv_overrides_array[
+                -1
+            ].key = b"\0"  # ensure sentinel element is zeroed
             self.model_params.kv_overrides = self._kv_overrides_array
 
         self.n_batch = min(n_ctx, n_batch)  # ???
@@ -326,7 +329,9 @@ class Llama:
             (n_ctx, self._n_vocab), dtype=np.single
         )
 
-        self._mirostat_mu = ctypes.c_float(2.0 * 5.0) # TODO: Move this to sampling context
+        self._mirostat_mu = ctypes.c_float(
+            2.0 * 5.0
+        )  # TODO: Move this to sampling context
 
         try:
             self.metadata = self._model.metadata()
@@ -334,7 +339,7 @@ class Llama:
             self.metadata = {}
             if self.verbose:
                 print(f"Failed to load metadata: {e}", file=sys.stderr)
-        
+
         if self.verbose:
             print(f"Model metadata: {self.metadata}", file=sys.stderr)
 
@@ -534,7 +539,7 @@ class Llama:
                 candidates=self._candidates,
                 tau=mirostat_tau,
                 eta=mirostat_eta,
-                mu=ctypes.pointer(self._mirostat_mu)
+                mu=ctypes.pointer(self._mirostat_mu),
             )
         else:
             self._ctx.sample_top_k(candidates=self._candidates, k=top_k, min_keep=1)