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Use numpy.longdouble instead of numpy.float128 in testing #317

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Merged
murrayrm merged 1 commit into from
Jun 23, 2019
Merged

Use numpy.longdouble instead of numpy.float128 in testing #317

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28 changes: 14 additions & 14 deletions control/tests/xferfcn_input_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
import numpy as np

from numpy import int, int8, int16, int32, int64
from numpy import float, float16, float32, float64, float128
from numpy import float, float16, float32, float64, longdouble
from numpy import all, ndarray, array

from control.xferfcn import _clean_part
Expand Down Expand Up @@ -73,7 +73,7 @@ def test_clean_part_tuple(self):

def test_clean_part_all_scalar_types(self):
"""Test single scalar value for all valid data types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = dtype(1)
num_ = _clean_part(num)

Expand All @@ -92,7 +92,7 @@ def test_clean_part_np_array(self):

def test_clean_part_all_np_array_types(self):
"""Test scalar value in numpy array of ndim=0 for all data types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = np.array(1, dtype=dtype)
num_ = _clean_part(num)

Expand All @@ -102,7 +102,7 @@ def test_clean_part_all_np_array_types(self):

def test_clean_part_all_np_array_types2(self):
"""Test numpy array for all types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = np.array([1, 2], dtype=dtype)
num_ = _clean_part(num)

Expand All @@ -112,7 +112,7 @@ def test_clean_part_all_np_array_types2(self):

def test_clean_part_list_all_types(self):
"""Test list of a single value for all data types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = [dtype(1)]
num_ = _clean_part(num)
assert isinstance(num_, list)
Expand All @@ -121,7 +121,7 @@ def test_clean_part_list_all_types(self):

def test_clean_part_list_all_types2(self):
"""List of list of numbers of all data types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = [dtype(1), dtype(2)]
num_ = _clean_part(num)
assert isinstance(num_, list)
Expand All @@ -130,7 +130,7 @@ def test_clean_part_list_all_types2(self):

def test_clean_part_tuple_all_types(self):
"""Test tuple of a single value for all data types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = (dtype(1),)
num_ = _clean_part(num)
assert isinstance(num_, list)
Expand All @@ -139,7 +139,7 @@ def test_clean_part_tuple_all_types(self):

def test_clean_part_tuple_all_types2(self):
"""Test tuple of a single value for all data types."""
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, float128]:
for dtype in [int, int8, int16, int32, int64, float, float16, float32, float64, longdouble]:
num = (dtype(1), dtype(2))
num_ = _clean_part(num)
assert isinstance(num_, list)
Expand Down Expand Up @@ -184,7 +184,7 @@ def test_clean_part_list_list_list_floats(self):

def test_clean_part_list_list_array(self):
"""List of list of numpy arrays for all valid types."""
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, float128:
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, longdouble:
num = [[array([1, 1], dtype=dtype), array([2, 2], dtype=dtype)]]
num_ = _clean_part(num)

Expand All @@ -195,7 +195,7 @@ def test_clean_part_list_list_array(self):

def test_clean_part_tuple_list_array(self):
"""Tuple of list of numpy arrays for all valid types."""
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, float128:
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, longdouble:
num = ([array([1, 1], dtype=dtype), array([2, 2], dtype=dtype)],)
num_ = _clean_part(num)

Expand All @@ -206,7 +206,7 @@ def test_clean_part_tuple_list_array(self):

def test_clean_part_list_tuple_array(self):
"""List of tuple of numpy array for all valid types."""
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, float128:
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, longdouble:
num = [(array([1, 1], dtype=dtype), array([2, 2], dtype=dtype))]
num_ = _clean_part(num)

Expand All @@ -217,7 +217,7 @@ def test_clean_part_list_tuple_array(self):

def test_clean_part_tuple_tuples_arrays(self):
"""Tuple of tuples of numpy arrays for all valid types."""
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, float128:
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, longdouble:
num = ((array([1, 1], dtype=dtype), array([2, 2], dtype=dtype)),
(array([3, 4], dtype=dtype), array([4, 4], dtype=dtype)))
num_ = _clean_part(num)
Expand All @@ -229,7 +229,7 @@ def test_clean_part_tuple_tuples_arrays(self):

def test_clean_part_list_tuples_arrays(self):
"""List of tuples of numpy arrays for all valid types."""
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, float128:
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, longdouble:
num = [(array([1, 1], dtype=dtype), array([2, 2], dtype=dtype)),
(array([3, 4], dtype=dtype), array([4, 4], dtype=dtype))]
num_ = _clean_part(num)
Expand All @@ -241,7 +241,7 @@ def test_clean_part_list_tuples_arrays(self):

def test_clean_part_list_list_arrays(self):
"""List of list of numpy arrays for all valid types."""
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, float128:
for dtype in int, int8, int16, int32, int64, float, float16, float32, float64, longdouble:
num = [[array([1, 1], dtype=dtype), array([2, 2], dtype=dtype)],
[array([3, 3], dtype=dtype), array([4, 4], dtype=dtype)]]
num_ = _clean_part(num)
Expand Down