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Commit9a22c88

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[xferfcn_input_test.py] Style refactor
- pep8 warnings- camel case functions to lower case
1 parent4054eaf commit9a22c88

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1 file changed

+35
-33
lines changed

1 file changed

+35
-33
lines changed

‎control/tests/xferfcn_input_test.py

Lines changed: 35 additions & 33 deletions
Original file line numberDiff line numberDiff line change
@@ -12,21 +12,21 @@
1212

1313
fromcontrol.xferfcnimport_clean_part
1414

15+
1516
classTestXferFcnInput(unittest.TestCase):
16-
"""These are tests for functionality of cleaning and validating
17-
XferFucnInput."""
17+
"""These are tests for functionality of cleaning and validating XferFcnInput."""
1818

1919
# Tests for raising exceptions.
20-
deftestBadInputType(self):
20+
deftest_clean_part_bad_input_type(self):
2121
"""Give the part cleaner invalid input type."""
2222

2323
self.assertRaises(TypeError,_clean_part, [[0.,1.], [2.,3.]])
2424

25-
deftestBadInputType2(self):
25+
deftest_clean_part_bad_input_type2(self):
2626
"""Give the part cleaner another invalid input type."""
2727
self.assertRaises(TypeError,_clean_part, [1,"a"])
2828

29-
deftestScalar(self):
29+
deftest_clean_part_scalar(self):
3030
"""Test single scalar value."""
3131
num=1
3232
num_=_clean_part(num)
@@ -35,7 +35,7 @@ def testScalar(self):
3535
assertnp.all([isinstance(part,list)forpartinnum_])
3636
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
3737

38-
deftestListScalar(self):
38+
deftest_clean_part_list_scalar(self):
3939
"""Test single scalar value in list."""
4040
num= [1]
4141
num_=_clean_part(num)
@@ -44,7 +44,7 @@ def testListScalar(self):
4444
assertnp.all([isinstance(part,list)forpartinnum_])
4545
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
4646

47-
deftestTupleScalar(self):
47+
deftest_clean_part_tuple_scalar(self):
4848
"""Test single scalar value in tuple."""
4949
num= (1)
5050
num_=_clean_part(num)
@@ -53,7 +53,7 @@ def testTupleScalar(self):
5353
assertnp.all([isinstance(part,list)forpartinnum_])
5454
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
5555

56-
deftestList(self):
56+
deftest_clean_part_list(self):
5757
"""Test multiple values in a list."""
5858
num= [1,2]
5959
num_=_clean_part(num)
@@ -62,7 +62,7 @@ def testList(self):
6262
assertnp.all([isinstance(part,list)forpartinnum_])
6363
np.testing.assert_array_equal(num_[0][0],array([1.0,2.0],dtype=float))
6464

65-
deftestTuple(self):
65+
deftest_clean_part_tuple(self):
6666
"""Test multiple values in tuple."""
6767
num= (1,2)
6868
num_=_clean_part(num)
@@ -71,7 +71,7 @@ def testTuple(self):
7171
assertnp.all([isinstance(part,list)forpartinnum_])
7272
np.testing.assert_array_equal(num_[0][0],array([1.0,2.0],dtype=float))
7373

74-
deftestAllScalarTypes(self):
74+
deftest_clean_part_all_scalar_types(self):
7575
"""Test single scalar value for all valid data types."""
7676
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
7777
num=dtype(1)
@@ -81,7 +81,7 @@ def testAllScalarTypes(self):
8181
assertnp.all([isinstance(part,list)forpartinnum_])
8282
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
8383

84-
deftestNpArray(self):
84+
deftest_clean_part_np_array(self):
8585
"""Test multiple values in numpy array."""
8686
num=np.array([1,2])
8787
num_=_clean_part(num)
@@ -90,7 +90,7 @@ def testNpArray(self):
9090
assertnp.all([isinstance(part,list)forpartinnum_])
9191
np.testing.assert_array_equal(num_[0][0],array([1.0,2.0],dtype=float))
9292

93-
deftestAllNumpyArrayTypes(self):
93+
deftest_clean_part_all_np_array_types(self):
9494
"""Test scalar value in numpy array of ndim=0 for all data types."""
9595
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
9696
num=np.array(1,dtype=dtype)
@@ -100,7 +100,7 @@ def testAllNumpyArrayTypes(self):
100100
assertnp.all([isinstance(part,list)forpartinnum_])
101101
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
102102

103-
deftestAllNumpyArrayTypes2(self):
103+
deftest_clean_part_all_np_array_types2(self):
104104
"""Test numpy array for all types."""
105105
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
106106
num=np.array([1,2],dtype=dtype)
@@ -110,7 +110,7 @@ def testAllNumpyArrayTypes2(self):
110110
assertnp.all([isinstance(part,list)forpartinnum_])
111111
np.testing.assert_array_equal(num_[0][0],array([1.0,2.0],dtype=float))
112112

113-
deftestListAllTypes(self):
113+
deftest_clean_part_list_all_types(self):
114114
"""Test list of a single value for all data types."""
115115
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
116116
num= [dtype(1)]
@@ -119,7 +119,7 @@ def testListAllTypes(self):
119119
assertnp.all([isinstance(part,list)forpartinnum_])
120120
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
121121

122-
deftestListAllTypes2(self):
122+
deftest_clean_part_list_all_types2(self):
123123
"""List of list of numbers of all data types."""
124124
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
125125
num= [dtype(1),dtype(2)]
@@ -128,7 +128,7 @@ def testListAllTypes2(self):
128128
assertnp.all([isinstance(part,list)forpartinnum_])
129129
np.testing.assert_array_equal(num_[0][0],array([1.0,2.0],dtype=float))
130130

131-
deftestTupleAllTypes(self):
131+
deftest_clean_part_tuple_all_types(self):
132132
"""Test tuple of a single value for all data types."""
133133
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
134134
num= (dtype(1),)
@@ -137,7 +137,7 @@ def testTupleAllTypes(self):
137137
assertnp.all([isinstance(part,list)forpartinnum_])
138138
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
139139

140-
deftestTupleAllTypes2(self):
140+
deftest_clean_part_tuple_all_types2(self):
141141
"""Test tuple of a single value for all data types."""
142142
fordtypein [int,int8,int16,int32,int64,float,float16,float32,float64,float128]:
143143
num= (dtype(1),dtype(2))
@@ -146,43 +146,43 @@ def testTupleAllTypes2(self):
146146
assertnp.all([isinstance(part,list)forpartinnum_])
147147
np.testing.assert_array_equal(num_[0][0],array([1,2],dtype=float))
148148

149-
deftestListListListInt(self):
149+
deftest_clean_part_list_list_list_int(self):
150150
""" Test an int in a list of a list of a list."""
151151
num= [[[1]]]
152152
num_=_clean_part(num)
153153
assertisinstance(num_,list)
154154
assertnp.all([isinstance(part,list)forpartinnum_])
155155
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
156156

157-
deftestListListListFloat(self):
157+
deftest_clean_part_list_list_list_float(self):
158158
""" Test a float in a list of a list of a list."""
159159
num= [[[1.0]]]
160160
num_=_clean_part(num)
161161
assertisinstance(num_,list)
162162
assertnp.all([isinstance(part,list)forpartinnum_])
163163
np.testing.assert_array_equal(num_[0][0],array([1.0],dtype=float))
164164

165-
deftestListListListInts(self):
165+
deftest_clean_part_list_list_list_ints(self):
166166
"""Test 2 lists of ints in a list in a list."""
167-
num= [[[1,1],[2,2]]]
167+
num= [[[1,1],[2,2]]]
168168
num_=_clean_part(num)
169169

170170
assertisinstance(num_,list)
171171
assertnp.all([isinstance(part,list)forpartinnum_])
172172
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
173173
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
174174

175-
deftestListListListFloats(self):
175+
deftest_clean_part_list_list_list_floats(self):
176176
"""Test 2 lists of ints in a list in a list."""
177-
num= [[[1.0,1.0],[2.0,2.0]]]
177+
num= [[[1.0,1.0],[2.0,2.0]]]
178178
num_=_clean_part(num)
179179

180180
assertisinstance(num_,list)
181181
assertnp.all([isinstance(part,list)forpartinnum_])
182182
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
183183
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
184184

185-
deftestListListArray(self):
185+
deftest_clean_part_list_list_array(self):
186186
"""List of list of numpy arrays for all valid types."""
187187
fordtypeinint,int8,int16,int32,int64,float,float16,float32,float64,float128:
188188
num= [[array([1,1],dtype=dtype),array([2,2],dtype=dtype)]]
@@ -193,7 +193,7 @@ def testListListArray(self):
193193
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
194194
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
195195

196-
deftestTupleListArray(self):
196+
deftest_clean_part_tuple_list_array(self):
197197
"""Tuple of list of numpy arrays for all valid types."""
198198
fordtypeinint,int8,int16,int32,int64,float,float16,float32,float64,float128:
199199
num= ([array([1,1],dtype=dtype),array([2,2],dtype=dtype)],)
@@ -204,7 +204,7 @@ def testTupleListArray(self):
204204
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
205205
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
206206

207-
deftestListTupleArray(self):
207+
deftest_clean_part_list_tuple_array(self):
208208
"""List of tuple of numpy array for all valid types."""
209209
fordtypeinint,int8,int16,int32,int64,float,float16,float32,float64,float128:
210210
num= [(array([1,1],dtype=dtype),array([2,2],dtype=dtype))]
@@ -215,7 +215,7 @@ def testListTupleArray(self):
215215
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
216216
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
217217

218-
deftestTupleTuplesArrays(self):
218+
deftest_clean_part_tuple_tuples_arrays(self):
219219
"""Tuple of tuples of numpy arrays for all valid types."""
220220
fordtypeinint,int8,int16,int32,int64,float,float16,float32,float64,float128:
221221
num= ((array([1,1],dtype=dtype),array([2,2],dtype=dtype)),
@@ -227,23 +227,23 @@ def testTupleTuplesArrays(self):
227227
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
228228
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
229229

230-
deftestListTuplesArrays(self):
230+
deftest_clean_part_list_tuples_arrays(self):
231231
"""List of tuples of numpy arrays for all valid types."""
232232
fordtypeinint,int8,int16,int32,int64,float,float16,float32,float64,float128:
233-
num= [(array([1,1],dtype=dtype),array([2,2],dtype=dtype)),
234-
(array([3,4],dtype=dtype),array([4,4],dtype=dtype))]
233+
num= [(array([1,1],dtype=dtype),array([2,2],dtype=dtype)),
234+
(array([3,4],dtype=dtype),array([4,4],dtype=dtype))]
235235
num_=_clean_part(num)
236236

237237
assertisinstance(num_,list)
238238
assertnp.all([isinstance(part,list)forpartinnum_])
239239
np.testing.assert_array_equal(num_[0][0],array([1.0,1.0],dtype=float))
240240
np.testing.assert_array_equal(num_[0][1],array([2.0,2.0],dtype=float))
241241

242-
deftestListListArrays(self):
242+
deftest_clean_part_list_list_arrays(self):
243243
"""List of list of numpy arrays for all valid types."""
244244
fordtypeinint,int8,int16,int32,int64,float,float16,float32,float64,float128:
245-
num= [[array([1,1],dtype=dtype),array([2,2],dtype=dtype)],
246-
[array([3,3],dtype=dtype),array([4,4],dtype=dtype)]]
245+
num= [[array([1,1],dtype=dtype),array([2,2],dtype=dtype)],
246+
[array([3,3],dtype=dtype),array([4,4],dtype=dtype)]]
247247
num_=_clean_part(num)
248248

249249
assertlen(num_)==2
@@ -254,8 +254,10 @@ def testListListArrays(self):
254254
np.testing.assert_array_equal(num_[1][0],array([3.0,3.0],dtype=float))
255255
np.testing.assert_array_equal(num_[1][1],array([4.0,4.0],dtype=float))
256256

257+
257258
defsuite():
258259
returnunittest.TestLoader().loadTestsFromTestCase(TestXferFcnInput)
259260

261+
260262
if__name__=="__main__":
261263
unittest.main()

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