Format-The-Codebase

- solve the conflict between black and isort

.circleci/config.yml

@@ -49,7 +49,7 @@ jobs:
       - run:
           command: |
             . venv/bin/activate
-            python -m isort --check-only gradio test
+            python -m isort --profile=black --check-only gradio test
       - run:
           command: |
             . venv/bin/activate

demo/question_answer/files/bert.py

@@ -6,11 +6,19 @@ import math
 
 import numpy as np
 import torch
-from pytorch_transformers import (WEIGHTS_NAME, BertConfig,
-                                  BertForQuestionAnswering, BertTokenizer)
+from pytorch_transformers import (
+    WEIGHTS_NAME,
+    BertConfig,
+    BertForQuestionAnswering,
+    BertTokenizer,
+)
 from torch.utils.data import DataLoader, SequentialSampler, TensorDataset
-from utils import (get_answer, input_to_squad_example,
-                   squad_examples_to_features, to_list)
+from utils import (
+    get_answer,
+    input_to_squad_example,
+    squad_examples_to_features,
+    to_list,
+)
 
 RawResult = collections.namedtuple(
     "RawResult", ["unique_id", "start_logits", "end_logits"]

demo/question_answer/files/utils.py

@@ -5,8 +5,7 @@ import math
 
 import numpy as np
 import torch
-from pytorch_transformers.tokenization_bert import (BasicTokenizer,
-                                                    whitespace_tokenize)
+from pytorch_transformers.tokenization_bert import BasicTokenizer, whitespace_tokenize
 from torch.utils.data import DataLoader, SequentialSampler, TensorDataset
 
 

gradio/__init__.py

@@ -1,7 +1,11 @@
 import pkg_resources
 
-from gradio.flagging import (CSVLogger, FlaggingCallback,
-                             HuggingFaceDatasetSaver, SimpleCSVLogger)
+from gradio.flagging import (
+    CSVLogger,
+    FlaggingCallback,
+    HuggingFaceDatasetSaver,
+    SimpleCSVLogger,
+)
 from gradio.interface import Interface, close_all, reset_all
 from gradio.mix import Parallel, Series
 from gradio.routes import get_state, set_state

test/test_interpretation.py

@@ -6,8 +6,7 @@ import numpy as np
 import gradio.interpretation
 import gradio.test_data
 from gradio import Interface
-from gradio.processing_utils import (decode_base64_to_image,
-                                     encode_array_to_base64)
+from gradio.processing_utils import decode_base64_to_image, encode_array_to_base64
 
 os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"