Updated style [skip ci]

Author: ankane

examples/cohere/example.cpp

@@ -12,7 +12,7 @@
 using json = nlohmann::json;
 
 // https://docs.cohere.com/reference/embed
-std::vector<std::string> embed(const std::vector<std::string>& texts, const std::string& input_type, char *api_key) {
+std::vector<std::string> embed(const std::vector<std::string>& texts, const std::string& input_type, char* api_key) {
     std::string url{"https://api.cohere.com/v2/embed"};
     json data{
         {"texts", texts},
@@ -45,7 +45,7 @@ std::vector<std::string> embed(const std::vector<std::string>& texts, const std:
 }
 
 int main() {
-    char *api_key = std::getenv("CO_API_KEY");
+    char* api_key = std::getenv("CO_API_KEY");
     if (!api_key) {
         std::cout << "Set CO_API_KEY" << std::endl;
         return 1;

examples/disco/example.cpp

@@ -59,7 +59,7 @@ Dataset<int, std::string> load_movielens(const std::string& path) {
 
 int main() {
     // https://grouplens.org/datasets/movielens/100k/
-    char *movielens_path = std::getenv("MOVIELENS_100K_PATH");
+    char* movielens_path = std::getenv("MOVIELENS_100K_PATH");
     if (!movielens_path) {
         std::cout << "Set MOVIELENS_100K_PATH" << std::endl;
         return 1;

examples/openai/example.cpp

@@ -11,7 +11,7 @@ using json = nlohmann::json;
 
 // https://platform.openai.com/docs/guides/embeddings/how-to-get-embeddings
 // input can be an array with 2048 elements
-std::vector<std::vector<float>> embed(const std::vector<std::string>& input, char *api_key) {
+std::vector<std::vector<float>> embed(const std::vector<std::string>& input, char* api_key) {
     std::string url{"https://api.openai.com/v1/embeddings"};
     json data{
         {"input", input},
@@ -37,7 +37,7 @@ std::vector<std::vector<float>> embed(const std::vector<std::string>& input, cha
 }
 
 int main() {
-    char *api_key = std::getenv("OPENAI_API_KEY");
+    char* api_key = std::getenv("OPENAI_API_KEY");
     if (!api_key) {
         std::cout << "Set OPENAI_API_KEY" << std::endl;
         return 1;