From fb7b2ef8adefff039a72a6b84344386d91936007 Mon Sep 17 00:00:00 2001
From: Newnius <newnius.cn@gmail.com>
Date: Sat, 2 May 2020 01:29:40 +0800
Subject: [PATCH] update

---
 .idea/workspace.xml | 2 +-
 serve.py            | 7 +++----
 2 files changed, 4 insertions(+), 5 deletions(-)

diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index 99e1605..606275b 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -206,7 +206,7 @@
   <component name="PropertiesComponent">
     <property name="WebServerToolWindowFactoryState" value="false" />
     <property name="aspect.path.notification.shown" value="true" />
-    <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588353307531" />
+    <property name="com.android.tools.idea.instantapp.provision.ProvisionBeforeRunTaskProvider.myTimeStamp" value="1588353692184" />
     <property name="go.gopath.indexing.explicitly.defined" value="true" />
     <property name="nodejs_interpreter_path.stuck_in_default_project" value="undefined stuck path" />
     <property name="nodejs_npm_path_reset_for_default_project" value="true" />
diff --git a/serve.py b/serve.py
index 420e40e..b4abe28 100644
--- a/serve.py
+++ b/serve.py
@@ -115,9 +115,8 @@ class Data:
 		time_step_size = feature_data.shape[0] // self.config.time_step
 
 		test_x = [feature_data[self.start_num_in_test + i * self.config.time_step: self.start_num_in_test + (
-				i + 1) * self.config.time_step]
-		          for i in range(time_step_size)]
-		print("test_x is", test_x)
+				i + 1) * self.config.time_step] for i in range(time_step_size)]
+
 		if return_label_data:
 			label_data = self.norm_data[self.train_num + self.start_num_in_test:, self.config.label_in_feature_columns]
 			return np.array(test_x), label_data
@@ -129,7 +128,7 @@ class Data:
 			test_data_yqy = []
 		# test_data_yqy=test_data_yqy[1:21]
 		feature_data = (test_data_yqy - self.mean) / self.std
-		test_x = [feature_data]
+		test_x = [feature_data][:, 0]
 		print(test_x)
 		return np.array(test_x)