Merge pull request astropy#1005 from aphearin/pep8_check

Reformatting to testing module by black

.github/workflows/ci_tests.yml

@@ -6,7 +6,8 @@ on:
     - master
   #  tags: # run CI if specific tags are pushed
   pull_request:
-    - master
+    branches:
+      - master
 
 jobs:
   # Github Actions supports ubuntu, windows, and macos virtual environments:
@@ -17,25 +18,15 @@ jobs:
     strategy:
       matrix:
         include:
-          - name: Code style checks
-            os: ubuntu-latest
-            python: 3.x
-            toxenv: codestyle
-
-          - name: Python 3.7 with minimal dependencies
+          - name: Ubuntu - Python 3.7 with all optional dependencies
             os: ubuntu-latest
             python: 3.7
-            toxenv: py37-test
+            toxenv: 'py37-test-alldeps'
 
-          - name: Python 3.7 with minimal dependencies
+          - name: MacOs - Python 3.7 with all optional dependencies
             os: macos-latest
             python: 3.7
-            toxenv: py37-test-alldeps
-
-          - name: Windows - Python 3.8 with all optional dependencies
-            os: windows-latest
-            python: 3.7
-            toxenv: py38-test-alldeps
+            toxenv: 'py37-test-alldeps'
 
     steps:
     - name: Checkout code

halotools/utils/tests/test_its.py

@@ -5,32 +5,38 @@
 import pytest
 import warnings
 
-from ..inverse_transformation_sampling import _sorted_rank_order_array, rank_order_percentile
-from ..inverse_transformation_sampling import build_cdf_lookup, monte_carlo_from_cdf_lookup
+from ..inverse_transformation_sampling import (
+    _sorted_rank_order_array,
+    rank_order_percentile,
+)
+from ..inverse_transformation_sampling import (
+    build_cdf_lookup,
+    monte_carlo_from_cdf_lookup,
+)
 
-__all__ = ('test_sorted_rank_order_array', )
+__all__ = ("test_sorted_rank_order_array",)
 
 
 def test_sorted_rank_order_array():
     result = _sorted_rank_order_array(4)
-    assert np.all(result == (1/5., 2/5., 3/5., 4/5.))
+    assert np.all(result == (1 / 5.0, 2 / 5.0, 3 / 5.0, 4 / 5.0))
 
 
 def test_rank_order_percentile1():
     result = rank_order_percentile((1, 2, 3, 4))
-    assert np.all(result == (1/5., 2/5., 3/5., 4/5.))
+    assert np.all(result == (1 / 5.0, 2 / 5.0, 3 / 5.0, 4 / 5.0))
 
 
 def test_rank_order_percentile2():
     result = rank_order_percentile((4, 3, 2, 1))
-    assert np.all(result == (4/5., 3/5., 2/5., 1/5.))
+    assert np.all(result == (4 / 5.0, 3 / 5.0, 2 / 5.0, 1 / 5.0))
 
 
 def test_rank_order_percentile3():
     with NumpyRNGContext(43):
         randoms = np.random.rand(100)
     result1 = rank_order_percentile(randoms)
-    result2 = rank_order_percentile(0.5*randoms)
+    result2 = rank_order_percentile(0.5 * randoms)
     assert np.all(result1 == result2)
 
 
@@ -56,29 +62,28 @@ def test_build_cdf_lookup3():
     npts = int(1e5)
     with NumpyRNGContext(43):
         y = np.random.normal(size=npts, loc=900)
-    x_table, y_table = build_cdf_lookup(y, npts_lookup_table=npts//10)
-    assert np.allclose(y_table.mean(), 900., atol=0.01)
+    x_table, y_table = build_cdf_lookup(y, npts_lookup_table=npts // 10)
+    assert np.allclose(y_table.mean(), 900.0, atol=0.01)
 
 
 def test_monte_carlo_from_cdf_lookup1():
     npts = int(1e5)
-    mean = 50.
+    mean = 50.0
     std = 0.5
     with NumpyRNGContext(43):
         y = np.random.normal(size=npts, loc=mean, scale=std)
     x_table, y_table = build_cdf_lookup(y)
-    mc_y = monte_carlo_from_cdf_lookup(x_table, y_table,
-        num_draws=npts+5, seed=43)
+    mc_y = monte_carlo_from_cdf_lookup(x_table, y_table, num_draws=npts + 5, seed=43)
 
-    assert len(mc_y) == npts+5
+    assert len(mc_y) == npts + 5
     assert np.allclose(mc_y.mean(), mean, rtol=0.01)
 
 
 def test_monte_carlo_from_cdf_lookup2():
     """
     """
     npts = int(1e4)
-    y = 0.3*np.random.normal(size=npts) + 0.7*np.random.power(2, size=npts)
+    y = 0.3 * np.random.normal(size=npts) + 0.7 * np.random.power(2, size=npts)
     x_table, y_table = build_cdf_lookup(y)
 
     with pytest.raises(ValueError) as err:
@@ -91,12 +96,13 @@ def test_monte_carlo_from_cdf_lookup3():
     """
     """
     npts = int(1e4)
-    y = 0.3*np.random.normal(size=npts) + 0.7*np.random.power(2, size=npts)
+    y = 0.3 * np.random.normal(size=npts) + 0.7 * np.random.power(2, size=npts)
     x_table, y_table = build_cdf_lookup(y)
 
     with pytest.raises(ValueError) as err:
-        monte_carlo_from_cdf_lookup(x_table, y_table,
-            mc_input=np.array((0.1, 0.4, 0.25)), num_draws=10)
+        monte_carlo_from_cdf_lookup(
+            x_table, y_table, mc_input=np.array((0.1, 0.4, 0.25)), num_draws=10
+        )
     substr = "If input ``mc_input`` is specified"
     assert substr in err.value.args[0]
 

tox.ini

@@ -1,5 +1,5 @@
 [tox]
-envlist = py37
+envlist = py37-test-alldeps
 
 [testenv]
 deps =