Matching Indent

Author: krishrustagi

keras/utils/layer_utils_test.py

@@ -111,30 +111,30 @@ def print_to_file(text):
       lines = reader.readlines()
       reader.close()
       check_str = ('Model: "model_2"\n'
-                  '_________________________________________________________________\n'
-                  ' Layer (type)                Output Shape              Param #   \n'
-                  '=================================================================\n'
-                  ' input_3 (InputLayer)        [(None, None, None, 3)]   0         \n'
-                  '                                                                 \n'
-                  ' model_1 (Functional)        (None, None, None, 3)     24        \n'
-                  '|¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯|\n'
-                  '| input_1 (InputLayer)      [(None, None, None, 3)]   0         |\n'
-                  '|                                                               |\n'
-                  '| model (Functional)        (None, None, None, 3)     24        |\n'
-                  '||¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯||\n'
-                  '|| input_2 (InputLayer)    [(None, None, None, 3)]   0         ||\n'
-                  '||                                                             ||\n'
-                  '|| conv2d (Conv2D)         (None, None, None, 3)     12        ||\n'
-                  '||                                                             ||\n'
-                  '|| batch_normalization (BatchN  (None, None, None, 3)  12      ||\n'
-                  '|| ormalization)                                               ||\n'
-                  '|¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯|\n'
-                  '¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯\n'
-                  '=================================================================\n'
-                  'Total params: 24\n'
-                  'Trainable params: 18\n'
-                  'Non-trainable params: 6\n'
-                  '_________________________________________________________________\n')
+                   '_________________________________________________________________\n'
+                   ' Layer (type)                Output Shape              Param #   \n'
+                   '=================================================================\n'
+                   ' input_3 (InputLayer)        [(None, None, None, 3)]   0         \n'
+                   '                                                                 \n'
+                   ' model_1 (Functional)        (None, None, None, 3)     24        \n'
+                   '|¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯|\n'
+                   '| input_1 (InputLayer)      [(None, None, None, 3)]   0         |\n'
+                   '|                                                               |\n'
+                   '| model (Functional)        (None, None, None, 3)     24        |\n'
+                   '||¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯||\n'
+                   '|| input_2 (InputLayer)    [(None, None, None, 3)]   0         ||\n'
+                   '||                                                             ||\n'
+                   '|| conv2d (Conv2D)         (None, None, None, 3)     12        ||\n'
+                   '||                                                             ||\n'
+                   '|| batch_normalization (BatchN  (None, None, None, 3)  12      ||\n'
+                   '|| ormalization)                                               ||\n'
+                   '|¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯|\n'
+                   '¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯\n'
+                   '=================================================================\n'
+                   'Total params: 24\n'
+                   'Trainable params: 18\n'
+                   'Non-trainable params: 6\n'
+                   '_________________________________________________________________\n')
 
       fin_str = ""
       for line in lines: