fixed: using clang-format for redis_impl

tensorflow_recommenders_addons/dynamic_embedding/core/kernels/redis_impl/redis_cluster_connection_pool.hpp

@@ -1305,12 +1305,14 @@ every bucket has its own BucketContext for sending data---for locating reply-
     std::vector<std::unique_ptr<std::vector<char>>> exists_chars(storage_slice);
     for (unsigned i = 0; i < storage_slice; ++i) {
       if (!exists_split[i].empty()) {
-        exists_chars[i] = std::make_unique<std::vector<char>>(exists_split[i].size());
-        std::transform(exists_split[i].begin(), exists_split[i].end(), exists_chars[i]->begin(), [](bool b) {
-            return static_cast<char>(b);
-        });
-
-        thread_context->HandlePushBack(i, exists_chars[i]->data(), exists_chars[i]->size() * sizeof(char));
+        exists_chars[i] =
+            std::make_unique<std::vector<char>>(exists_split[i].size());
+        std::transform(exists_split[i].begin(), exists_split[i].end(),
+                       exists_chars[i]->begin(),
+                       [](bool b) { return static_cast<char>(b); });
+
+        thread_context->HandlePushBack(i, exists_chars[i]->data(),
+                                       exists_chars[i]->size() * sizeof(char));
       }
     }