code lint

Author: crazyeng

wolframclient/cli/commands/benchmark.py

@@ -82,7 +82,7 @@ def report(self):
         self.table_line()
 
         # running export to do all lazy loadings
-        binary_deserialize(export(1, target_format = 'wxf'))
+        binary_deserialize(export(1, target_format="wxf"))
 
         self.table_line("* Binary deserialize")
         self.table_line()

wolframclient/evaluation/kernel/kernelcontroller.py

@@ -19,7 +19,7 @@
 from wolframclient.utils.api import json, os, time, zmq
 
 if six.WINDOWS:
-    from subprocess import STARTUPINFO, STARTF_USESHOWWINDOW
+    from subprocess import STARTF_USESHOWWINDOW, STARTUPINFO
 
 __all__ = ["WolframKernelController"]
 

wolframclient/tests/deserializers/wxf_deserialize.py

@@ -21,6 +21,7 @@
 from wolframclient.utils.datastructures import immutabledict
 from wolframclient.utils.tests import TestCase as BaseTestCase
 
+
 class TestCase(BaseTestCase):
     def test_token_dimensions(self):
         token = WXFToken(None)
@@ -200,7 +201,7 @@ def test_compressed_input(self):
         self.assertEqual(expr, res)
 
     def test_nested_associations(self):
-        expr = immutabledict((('a', 2), ('a', 3)))
+        expr = immutabledict((("a", 2), ("a", 3)))
         expr = immutabledict(((expr, expr), (2, 3)))
         wxf = export(expr, target_format="wxf", compress=True)
         res = binary_deserialize(wxf, consumer=WXFConsumer())

wolframclient/tests/evaluation/__init__.py

@@ -9,10 +9,10 @@
 # The evaluation modules is only supported on python 3.5+, because of asyncio
 # We need to prevent the test suite from loading this module containing coroutines.
 if six.PY_35:
+    from wolframclient.tests.evaluation import test_async_cloud as m4
     from wolframclient.tests.evaluation import test_cloud as m1
-    from wolframclient.tests.evaluation import test_kernel as m2
     from wolframclient.tests.evaluation import test_coroutine as m3
-    from wolframclient.tests.evaluation import test_async_cloud as m4
+    from wolframclient.tests.evaluation import test_kernel as m2
 
     test_modules = (m1, m2, m3, m4)
 else:

wolframclient/tests/externalevaluate/ev_loop.py

@@ -3,7 +3,6 @@
 from threading import Thread
 
 import zmq
-
 from wolframclient.language import wl
 from wolframclient.serializers import export
 from wolframclient.utils.externalevaluate import EXPORT_KWARGS, StdoutProxy, start_zmq_loop

wolframclient/tests/serializers/pandas.py

@@ -37,13 +37,13 @@ def sparse_series_dict(self):
         d["b"] = 1
         d["a"] = 0
         d["c"] = 2
-        return pandas.Series(d, dtype='Sparse[int]')
+        return pandas.Series(d, dtype="Sparse[int]")
 
     def sparse_series_dict_indexed(self):
         constructor_dict = {1: 1.0}
         index = [0, 1, 2]
         # Series with index passed in
-        series = pandas.Series(constructor_dict, dtype='Sparse[float]')
+        series = pandas.Series(constructor_dict, dtype="Sparse[float]")
         return pandas.Series(series, index=index)
 
     def multiindex_series(self):

wolframclient/tests/serializers/wxf_pythonarray.py

@@ -33,7 +33,7 @@ def test_python_array(self):
 
     def test_generators(self):
 
-        array = NumericArray((i for i in range(10)), "Integer8", shape=(10, ))
+        array = NumericArray((i for i in range(10)), "Integer8", shape=(10,))
 
         self.assertEqual(
             export(numpy.arange(10).astype(numpy.int8), target_format="wxf"),
@@ -49,4 +49,4 @@ def test_generators(self):
             export(array, target_format="wxf"),
         )
 
-        self.assertEqual(len(array), 10)
+        self.assertEqual(len(array), 10)

wolframclient/utils/externalevaluate.py

@@ -107,6 +107,7 @@ def write(self, bytes):
     def send_side_effect(self, expr):
         self.write(export(self.keep_listening(expr), **EXPORT_KWARGS))
 
+
 def evaluate_message(input=None, return_type=None, args=None, **opts):
 
     __traceback_hidden_variables__ = True

wolframclient/utils/lock.py

@@ -14,8 +14,8 @@ def Lock():
     # JYTHON is raising an ImportError when running "import multiprocessing"
     # GVisor is raising an OSError when running "multiprocessing.Lock()" because the feature is not implemented
 
-    from contextlib import contextmanager
     import warnings
+    from contextlib import contextmanager
 
     warnings.warn("Lock is not implemented in the current interpreter.", RuntimeWarning)