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test: Strip whitespace when comparing numpy dtypes for 1.22 compat (#3682)

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* test: Strip whitespace when comparing numpy dtypes for 1.22 compat

Strip whitespace when comparing numpy dtype str() in order to preserve
test compatibility with both numpy 1.22 and older versions whose output
differ by whitespace.

Fixes #3680

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Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Michał Górny 2022-02-03 18:29:46 +01:00 committed by GitHub
parent ffa346860b
commit 1d3b04e805
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1 changed files with 22 additions and 22 deletions
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44
tests/test_numpy_dtypes.py
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@ -32,8 +32,8 @@ def dt_fmt():
e = "<" if byteorder == "little" else ">"
return (
"{{'names':['bool_','uint_','float_','ldbl_'],"
" 'formats':['?','" + e + "u4','" + e + "f4','" + e + "f{}'],"
" 'offsets':[0,4,8,{}], 'itemsize':{}}}"
"'formats':['?','" + e + "u4','" + e + "f4','" + e + "f{}'],"
"'offsets':[0,4,8,{}],'itemsize':{}}}"
)
@ -46,7 +46,7 @@ def simple_dtype_fmt():
def packed_dtype_fmt():
from sys import byteorder
return "[('bool_', '?'), ('uint_', '{e}u4'), ('float_', '{e}f4'), ('ldbl_', '{e}f{}')]".format(
return "[('bool_','?'),('uint_','{e}u4'),('float_','{e}f4'),('ldbl_','{e}f{}')]".format(
np.dtype("longdouble").itemsize, e="<" if byteorder == "little" else ">"
)
@ -77,7 +77,7 @@ def partial_nested_fmt():
partial_size = partial_ld_off + ld.itemsize
partial_end_padding = partial_size % np.dtype("uint64").alignment
partial_nested_size = partial_nested_off * 2 + partial_size + partial_end_padding
return "{{'names':['a'], 'formats':[{}], 'offsets':[{}], 'itemsize':{}}}".format(
return "{{'names':['a'],'formats':[{}],'offsets':[{}],'itemsize':{}}}".format(
partial_dtype_fmt(), partial_nested_off, partial_nested_size
)
@ -123,25 +123,25 @@ def test_dtype(simple_dtype):
e = "<" if byteorder == "little" else ">"
assert m.print_dtypes() == [
assert [x.replace(" ", "") for x in m.print_dtypes()] == [
simple_dtype_fmt(),
packed_dtype_fmt(),
"[('a', {}), ('b', {})]".format(simple_dtype_fmt(), packed_dtype_fmt()),
"[('a',{}),('b',{})]".format(simple_dtype_fmt(), packed_dtype_fmt()),
partial_dtype_fmt(),
partial_nested_fmt(),
"[('a', 'S3'), ('b', 'S3')]",
"[('a','S3'),('b','S3')]",
(
"{{'names':['a','b','c','d'], "
+ "'formats':[('S4', (3,)),('"
"{{'names':['a','b','c','d'],"
+ "'formats':[('S4',(3,)),('"
+ e
+ "i4', (2,)),('u1', (3,)),('"
+ "i4',(2,)),('u1',(3,)),('"
+ e
+ "f4', (4, 2))], "
+ "'offsets':[0,12,20,24], 'itemsize':56}}"
+ "f4',(4,2))],"
+ "'offsets':[0,12,20,24],'itemsize':56}}"
).format(e=e),
"[('e1', '" + e + "i8'), ('e2', 'u1')]",
"[('x', 'i1'), ('y', '" + e + "u8')]",
"[('cflt', '" + e + "c8'), ('cdbl', '" + e + "c16')]",
"[('e1','" + e + "i8'),('e2','u1')]",
"[('x','i1'),('y','" + e + "u8')]",
"[('cflt','" + e + "c8'),('cdbl','" + e + "c16')]",
]
d1 = np.dtype(
@ -238,7 +238,7 @@ def test_recarray(simple_dtype, packed_dtype):
]
arr = m.create_rec_partial(3)
assert str(arr.dtype) == partial_dtype_fmt()
assert str(arr.dtype).replace(" ", "") == partial_dtype_fmt()
partial_dtype = arr.dtype
assert "" not in arr.dtype.fields
assert partial_dtype.itemsize > simple_dtype.itemsize
@ -246,7 +246,7 @@ def test_recarray(simple_dtype, packed_dtype):
assert_equal(arr, elements, packed_dtype)
arr = m.create_rec_partial_nested(3)
assert str(arr.dtype) == partial_nested_fmt()
assert str(arr.dtype).replace(" ", "") == partial_nested_fmt()
assert "" not in arr.dtype.fields
assert "" not in arr.dtype.fields["a"][0].fields
assert arr.dtype.itemsize > partial_dtype.itemsize
@ -285,12 +285,12 @@ def test_array_array():
e = "<" if byteorder == "little" else ">"
arr = m.create_array_array(3)
assert str(arr.dtype) == (
"{{'names':['a','b','c','d'], "
+ "'formats':[('S4', (3,)),('"
assert str(arr.dtype).replace(" ", "") == (
"{{'names':['a','b','c','d'],"
+ "'formats':[('S4',(3,)),('"
+ e
+ "i4', (2,)),('u1', (3,)),('{e}f4', (4, 2))], "
+ "'offsets':[0,12,20,24], 'itemsize':56}}"
+ "i4',(2,)),('u1',(3,)),('{e}f4',(4,2))],"
+ "'offsets':[0,12,20,24],'itemsize':56}}"
).format(e=e)
assert m.print_array_array(arr) == [
"a={{A,B,C,D},{K,L,M,N},{U,V,W,X}},b={0,1},"