diff --git a/deepspeech/exps/deepspeech2/bin/deploy/runtime.py b/deepspeech/exps/deepspeech2/bin/deploy/runtime.py
index 26365820..dad8459e 100644
--- a/deepspeech/exps/deepspeech2/bin/deploy/runtime.py
+++ b/deepspeech/exps/deepspeech2/bin/deploy/runtime.py
@@ -18,8 +18,10 @@ import numpy as np
 import paddle
 from paddle.inference import Config
 from paddle.inference import create_predictor
+from paddle.io import DataLoader
 
 from deepspeech.exps.deepspeech2.config import get_cfg_defaults
+from deepspeech.io.collator import SpeechCollator
 from deepspeech.io.dataset import ManifestDataset
 from deepspeech.models.deepspeech2 import DeepSpeech2Model
 from deepspeech.training.cli import default_argument_parser
@@ -29,9 +31,6 @@ from deepspeech.utils.socket_server import warm_up_test
 from deepspeech.utils.utility import add_arguments
 from deepspeech.utils.utility import print_arguments
 
-from paddle.io import DataLoader
-from deepspeech.io.collator import SpeechCollator
-
 
 def init_predictor(args):
     if args.model_dir is not None:
@@ -83,11 +82,11 @@ def start_server(config, args):
     config.defrost()
     config.data.manifest = config.data.test_manifest
     dataset = ManifestDataset.from_config(config)
-    
+
     config.collator.augmentation_config = ""
     config.collator.keep_transcription_text = True
-    config.collator.batch_size=1
-    config.collator.num_workers=0
+    config.collator.batch_size = 1
+    config.collator.num_workers = 0
     collate_fn = SpeechCollator.from_config(config)
     test_loader = DataLoader(dataset, collate_fn=collate_fn, num_workers=0)
 
diff --git a/deepspeech/exps/deepspeech2/bin/deploy/server.py b/deepspeech/exps/deepspeech2/bin/deploy/server.py
index 73a3fc17..b473a8fd 100644
--- a/deepspeech/exps/deepspeech2/bin/deploy/server.py
+++ b/deepspeech/exps/deepspeech2/bin/deploy/server.py
@@ -16,8 +16,10 @@ import functools
 
 import numpy as np
 import paddle
+from paddle.io import DataLoader
 
 from deepspeech.exps.deepspeech2.config import get_cfg_defaults
+from deepspeech.io.collator import SpeechCollator
 from deepspeech.io.dataset import ManifestDataset
 from deepspeech.models.deepspeech2 import DeepSpeech2Model
 from deepspeech.training.cli import default_argument_parser
@@ -28,9 +30,6 @@ from deepspeech.utils.utility import add_arguments
 from deepspeech.utils.utility import print_arguments
 
 
-from paddle.io import DataLoader
-from deepspeech.io.collator import SpeechCollator
-
 def start_server(config, args):
     """Start the ASR server"""
     config.defrost()
@@ -39,8 +38,8 @@ def start_server(config, args):
 
     config.collator.augmentation_config = ""
     config.collator.keep_transcription_text = True
-    config.collator.batch_size=1
-    config.collator.num_workers=0
+    config.collator.batch_size = 1
+    config.collator.num_workers = 0
     collate_fn = SpeechCollator.from_config(config)
     test_loader = DataLoader(dataset, collate_fn=collate_fn, num_workers=0)
 
diff --git a/deepspeech/io/collator.py b/deepspeech/io/collator.py
index 94264d6f..305ca940 100644
--- a/deepspeech/io/collator.py
+++ b/deepspeech/io/collator.py
@@ -242,7 +242,7 @@ class SpeechCollator():
 
         # specgram augment
         specgram = self._augmentation_pipeline.transform_feature(specgram)
-        specgram=specgram.transpose([1,0])
+        specgram = specgram.transpose([1, 0])
         return specgram, transcript_part
 
     def __call__(self, batch):
diff --git a/deepspeech/utils/socket_server.py b/deepspeech/utils/socket_server.py
index 8fd7c2fa..45c659f6 100644
--- a/deepspeech/utils/socket_server.py
+++ b/deepspeech/utils/socket_server.py
@@ -48,7 +48,7 @@ def warm_up_test(audio_process_handler,
     rng = random.Random(random_seed)
     samples = rng.sample(manifest, num_test_cases)
     for idx, sample in enumerate(samples):
-        print("Warm-up Test Case %d: %s"%(idx, sample['feat']))
+        print("Warm-up Test Case %d: %s" % (idx, sample['feat']))
         start_time = time.time()
         transcript = audio_process_handler(sample['feat'])
         finish_time = time.time()