fix: whitespaces and \n(s) (#152)

* fix: whitespaces and \n(s)

* chore: add comment

Author: ydcjeff

src/store.js

@@ -70,9 +70,14 @@ export function genCode() {
         continue
       }
       store.code[file] = ejs
-        .render(currentFiles[file], store.config)
-        .replace(/\s{4}\n/gi, '\n')
-        .replace(/(\n{3,})/gi, '\n\n')
+        .render(
+          // replace `\s(s) or \n(s)#:::\s`
+          // with `#::: `
+          currentFiles[file].replace(/([\s\n]+#:::\s)/gi, '#::: '),
+          store.config
+        )
+        // trim `    #`
+        .replace(/\s{4}#$/gim, '')
     }
     if (isDev) {
       store.code[__DEV_CONFIG_FILE__] = JSON.stringify(store.config, null, 2)

src/templates/template-common/utils.py

@@ -132,6 +132,8 @@ def setup_logging(config: Any) -> Logger:
 
 
 #::: if (it.save_training || it.save_evaluation || it.patience || it.terminate_on_nan || it.limit_sec) { :::#
+
+
 def setup_handlers(
     trainer: Engine,
     evaluator: Engine,

src/templates/template-text-classification/main.py

@@ -159,7 +159,7 @@ def _():
     if rank == 0:
         exp_logger.close()
     #::: } :::#
-
+    #
     #::: if (it.save_training || it.save_evaluation) { :::#
     # show last checkpoint names
     logger.info(

src/templates/template-text-classification/trainers.py

@@ -52,6 +52,7 @@ def train_function(engine: Union[Engine, DeterministicEngine], batch: Any):
         engine.state.metrics = metric
         return metric
 
+    #
     #::: if(it.deterministic) { :::#
     trainer = DeterministicEngine(train_function)
     #::: } else { :::#

src/templates/template-text-classification/utils.py

@@ -132,6 +132,8 @@ def setup_logging(config: Any) -> Logger:
 
 
 #::: if (it.save_training || it.save_evaluation || it.patience || it.terminate_on_nan || it.limit_sec) { :::#
+
+
 def setup_handlers(
     trainer: Engine,
     evaluator: Engine,

src/templates/template-vision-classification/main.py

@@ -115,7 +115,7 @@ def _():
     if rank == 0:
         exp_logger.close()
     #::: } :::#
-
+    #
     #::: if (it.save_training || it.save_evaluation) { :::#
     # show last checkpoint names
     logger.info(

src/templates/template-vision-classification/trainers.py

@@ -38,6 +38,7 @@ def train_function(engine: Union[Engine, DeterministicEngine], batch: Any):
         }
         return {"train_loss": train_loss}
 
+    #
     #::: if(it.deterministic) { :::#
     trainer = DeterministicEngine(train_function)
     #::: } else { :::#

src/templates/template-vision-classification/utils.py

@@ -132,6 +132,8 @@ def setup_logging(config: Any) -> Logger:
 
 
 #::: if (it.save_training || it.save_evaluation || it.patience || it.terminate_on_nan || it.limit_sec) { :::#
+
+
 def setup_handlers(
     trainer: Engine,
     evaluator: Engine,

src/templates/template-vision-dcgan/main.py

@@ -170,7 +170,7 @@ def _():
     if rank == 0:
         exp_logger.close()
     #::: } :::#
-
+    #
     #::: if (it.save_training || it.save_evaluation) { :::#
     # show last checkpoint names
     logger.info(

src/templates/template-vision-dcgan/trainers.py

@@ -88,6 +88,7 @@ def train_function(engine: Union[Engine, DeterministicEngine], batch: Any):
 
         return metrics
 
+    #
     #::: if(it.deterministic) { :::#
     trainer = DeterministicEngine(train_function)
     #::: } else { :::#

src/templates/template-vision-dcgan/utils.py

@@ -132,6 +132,8 @@ def setup_logging(config: Any) -> Logger:
 
 
 #::: if (it.save_training || it.save_evaluation || it.patience || it.terminate_on_nan || it.limit_sec) { :::#
+
+
 def setup_handlers(
     trainer: Engine,
     evaluator: Engine,

src/templates/template-vision-segmentation/main.py

@@ -178,7 +178,7 @@ def _():
     if rank == 0:
         exp_logger.close()
     #::: } :::#
-
+    #
     #::: if (it.save_training || it.save_evaluation) { :::#
     # show last checkpoint names
     logger.info(

src/templates/template-vision-segmentation/trainers.py

@@ -43,6 +43,7 @@ def train_function(engine: Engine, batch: Any):
         engine.state.metrics = metric
         return metric
 
+    #
     #::: if(it.deterministic) { :::#
     trainer = DeterministicEngine(train_function)
     #::: } else { :::#

src/templates/template-vision-segmentation/utils.py

@@ -132,6 +132,8 @@ def setup_logging(config: Any) -> Logger:
 
 
 #::: if (it.save_training || it.save_evaluation || it.patience || it.terminate_on_nan || it.limit_sec) { :::#
+
+
 def setup_handlers(
     trainer: Engine,
     evaluator: Engine,