configchecker / flake8 errors

Author: pwilkin

common/chat-parser.cpp

@@ -84,15 +84,15 @@ bool common_chat_msg_parser::add_tool_call_short_form(const json & tool_call) {
     // Get the tool name (the single key in the object)
     auto it = tool_call.begin();
     std::string name = it.key();
-    
+
     if (name.empty()) {
         return false;
     }
 
     // Get the arguments (the nested object)
     const json & args_json = it.value();
     std::string arguments = "";
-    
+
     if (args_json.is_object()) {
         arguments = args_json.dump();
     } else if (args_json.is_string()) {

common/chat.cpp

@@ -2375,7 +2375,7 @@ static void common_chat_parse_apertus(common_chat_msg_parser & builder) {
     static const common_regex tool_call_regex(regex_escape("<|tools_prefix|>"));
     if (auto res = builder.try_find_regex(tool_call_regex)) {
         builder.move_to(res->groups[0].end);
-               
+
         auto tool_calls_data = builder.consume_json();
         if (tool_calls_data.json.is_array()) {
             builder.consume_spaces();

convert_hf_to_gguf.py

@@ -8613,7 +8613,7 @@ def modify_tensors(self, data_torch, name, bid):
             if (len(self._eps) == n_layers):
                 self.gguf_writer.add_xielu_eps([self._eps[k] for k in sorted(self._eps)])
             return []
-                    
+
         return super().modify_tensors(data_torch, name, bid)
 
 

ggml/src/ggml-cuda/unary.cu

@@ -325,10 +325,10 @@ void ggml_cuda_op_geglu_quick(ggml_backend_cuda_context & ctx, ggml_tensor * dst
 // Functor for XIELU operation with parameters
 struct op_xielu_functor {
     float alpha_n, alpha_p, beta, eps;
-    
+
     __host__ __device__ __forceinline__ op_xielu_functor(float a_n, float a_p, float b, float e)
         : alpha_n(a_n), alpha_p(a_p), beta(b), eps(e) {}
-    
+
     __device__ __forceinline__ float operator()(float x) const {
         float gate_pos = (x > 0.0f);        // positive branch gate
 

gguf-py/gguf/gguf_writer.py

@@ -1059,7 +1059,7 @@ def add_xielu_alpha_n(self, value: Sequence[float]):
 
     def add_xielu_beta(self, value: Sequence[float]):
         self.add_array(Keys.xIELU.XIELU_BETA, value)
-    
+
     def add_xielu_eps(self, value: Sequence[float]):
         self.add_array(Keys.xIELU.XIELU_EPS, value)
 

src/llama-model.cpp

@@ -18686,7 +18686,7 @@ struct llm_build_apertus : public llm_graph_context {
                 Kcur = build_norm(Kcur, model.layers[il].attn_k_norm, NULL, LLM_NORM_RMS, il);
                 cb(Kcur, "Kcur_normed", il);
 
-                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens); 
+                Vcur = ggml_reshape_3d(ctx0, Vcur, n_embd_head, n_head_kv, n_tokens);
 
                 Qcur = ggml_rope_ext(
                         ctx0, Qcur, inp_pos, rope_factors,

tools/tts/convert_pt_to_hf.py

@@ -12,7 +12,7 @@
 from safetensors.torch import save_file
 
 # default
-model_path = './model.pt';
+model_path = './model.pt'
 
 # read from CLI
 if len(sys.argv) > 1: