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Simon Perkins
ducc
Commits
f7778607
Commit
f7778607
authored
May 18, 2020
by
Martin Reinecke
Browse files
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towards reproducible test runs
parent
69b0aed4
Changes
2
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Showing
2 changed files
with
33 additions
and
17 deletions
+33
-17
pypocketfft/test/test_pypocketfft.py
pypocketfft/test/test_pypocketfft.py
+27
-14
pysharp/test/test_pysharp.py
pysharp/test/test_pysharp.py
+6
-3
No files found.
pypocketfft/test/test_pypocketfft.py
View file @
f7778607
...
...
@@ -71,7 +71,8 @@ dtypes = [np.float32, np.float64,
@
pmp
(
"inorm"
,
[
0
,
1
,
2
])
@
pmp
(
"dtype"
,
dtypes
)
def
test1D
(
len
,
inorm
,
dtype
):
a
=
np
.
random
.
rand
(
len
)
-
0.5
+
1j
*
np
.
random
.
rand
(
len
)
-
0.5j
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
len
)
-
0.5
+
1j
*
rng
.
random
(
len
)
-
0.5j
a
=
a
.
astype
(
ctype
[
dtype
])
eps
=
tol
[
dtype
]
assert_
(
_l2error
(
a
,
ifftn
(
fftn
(
a
,
inorm
=
inorm
),
inorm
=
2
-
inorm
))
<
eps
)
...
...
@@ -91,7 +92,8 @@ def test1D(len, inorm, dtype):
@
pmp
(
"nthreads"
,
(
0
,
1
,
2
))
@
pmp
(
"inorm"
,
[
0
,
1
,
2
])
def
test_fftn
(
shp
,
nthreads
,
inorm
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
+
1j
*
np
.
random
.
rand
(
*
shp
)
-
0.5j
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
+
1j
*
rng
.
random
(
shp
)
-
0.5j
assert_
(
_l2error
(
a
,
ifftn
(
fftn
(
a
,
nthreads
=
nthreads
,
inorm
=
inorm
),
nthreads
=
nthreads
,
inorm
=
2
-
inorm
))
<
1e-15
)
a
=
a
.
astype
(
np
.
complex64
)
...
...
@@ -103,7 +105,8 @@ def test_fftn(shp, nthreads, inorm):
@
pmp
(
"axes"
,
((
0
,),
(
1
,),
(
0
,
1
),
(
1
,
0
)))
@
pmp
(
"inorm"
,
[
0
,
1
,
2
])
def
test_fftn2D
(
shp
,
axes
,
inorm
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
+
1j
*
np
.
random
.
rand
(
*
shp
)
-
0.5j
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
+
1j
*
rng
.
random
(
shp
)
-
0.5j
assert_
(
_l2error
(
a
,
ifftn
(
fftn
(
a
,
axes
=
axes
,
inorm
=
inorm
),
axes
=
axes
,
inorm
=
2
-
inorm
))
<
1e-15
)
a
=
a
.
astype
(
np
.
complex64
)
...
...
@@ -113,7 +116,8 @@ def test_fftn2D(shp, axes, inorm):
@
pmp
(
"shp"
,
shapes
)
def
test_rfftn
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
tmp1
=
rfftn
(
a
)
tmp2
=
fftn
(
a
)
part
=
tuple
(
slice
(
0
,
tmp1
.
shape
[
i
])
for
i
in
range
(
tmp1
.
ndim
))
...
...
@@ -128,7 +132,7 @@ def test_rfftn(shp):
# @pmp("shp", shapes)
# def test_rfft_scipy(shp):
# for i in range(len(shp)):
# a =
np.random.rand(*
shp)-0.5
# a =
rng.random(
shp)-0.5
# assert_(_l2error(pyfftw.interfaces.scipy_fftpack.rfft(a, axis=i),
# rfft_scipy(a, axis=i)) < 1e-15)
# assert_(_l2error(pyfftw.interfaces.scipy_fftpack.irfft(a, axis=i),
...
...
@@ -138,7 +142,8 @@ def test_rfftn(shp):
@
pmp
(
"shp"
,
shapes2D
)
@
pmp
(
"axes"
,
((
0
,),
(
1
,),
(
0
,
1
),
(
1
,
0
)))
def
test_rfftn2D
(
shp
,
axes
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
tmp1
=
rfftn
(
a
,
axes
=
axes
)
tmp2
=
fftn
(
a
,
axes
=
axes
)
part
=
tuple
(
slice
(
0
,
tmp1
.
shape
[
i
])
for
i
in
range
(
tmp1
.
ndim
))
...
...
@@ -152,7 +157,8 @@ def test_rfftn2D(shp, axes):
@
pmp
(
"shp"
,
shapes
)
def
test_identity
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
+
1j
*
np
.
random
.
rand
(
*
shp
)
-
0.5j
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
+
1j
*
rng
.
random
(
shp
)
-
0.5j
assert_
(
_l2error
(
ifftn
(
fftn
(
a
),
inorm
=
2
),
a
)
<
1.5e-15
)
assert_
(
_l2error
(
ifftn
(
fftn
(
a
.
real
),
inorm
=
2
),
a
.
real
)
<
1.5e-15
)
assert_
(
_l2error
(
fftn
(
ifftn
(
a
.
real
),
inorm
=
2
),
a
.
real
)
<
1.5e-15
)
...
...
@@ -165,7 +171,8 @@ def test_identity(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_identity_r
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
b
=
a
.
astype
(
np
.
float32
)
for
ax
in
range
(
a
.
ndim
):
n
=
a
.
shape
[
ax
]
...
...
@@ -177,14 +184,16 @@ def test_identity_r(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_identity_r2
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
+
1j
*
np
.
random
.
rand
(
*
shp
)
-
0.5j
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
+
1j
*
rng
.
random
(
shp
)
-
0.5j
a
=
rfftn
(
irfftn
(
a
))
assert_
(
_l2error
(
rfftn
(
irfftn
(
a
),
inorm
=
2
),
a
)
<
1e-15
)
@
pmp
(
"shp"
,
shapes2D
+
shapes3D
)
def
test_genuine_hartley
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
v1
=
pypocketfft
.
genuine_hartley
(
a
)
v2
=
fftn
(
a
.
astype
(
np
.
complex128
))
v2
=
v2
.
real
+
v2
.
imag
...
...
@@ -193,14 +202,16 @@ def test_genuine_hartley(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_hartley_identity
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
v1
=
pypocketfft
.
separable_hartley
(
pypocketfft
.
separable_hartley
(
a
))
/
a
.
size
assert_
(
_l2error
(
a
,
v1
)
<
1e-15
)
@
pmp
(
"shp"
,
shapes
)
def
test_genuine_hartley_identity
(
shp
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
v1
=
pypocketfft
.
genuine_hartley
(
pypocketfft
.
genuine_hartley
(
a
))
/
a
.
size
assert_
(
_l2error
(
a
,
v1
)
<
1e-15
)
v1
=
a
.
copy
()
...
...
@@ -212,7 +223,8 @@ def test_genuine_hartley_identity(shp):
@
pmp
(
"shp"
,
shapes2D
+
shapes3D
)
@
pmp
(
"axes"
,
((
0
,),
(
1
,),
(
0
,
1
),
(
1
,
0
)))
def
test_genuine_hartley_2D
(
shp
,
axes
):
a
=
np
.
random
.
rand
(
*
shp
)
-
0.5
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
rng
.
random
(
shp
)
-
0.5
assert_
(
_l2error
(
pypocketfft
.
genuine_hartley
(
pypocketfft
.
genuine_hartley
(
a
,
axes
=
axes
),
axes
=
axes
,
inorm
=
2
),
a
)
<
1e-15
)
...
...
@@ -222,7 +234,8 @@ def test_genuine_hartley_2D(shp, axes):
@
pmp
(
"type"
,
[
1
,
2
,
3
,
4
])
@
pmp
(
"dtype"
,
dtypes
)
def
testdcst1D
(
len
,
inorm
,
type
,
dtype
):
a
=
(
np
.
random
.
rand
(
len
)
-
0.5
).
astype
(
dtype
)
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
a
=
(
rng
.
random
(
len
)
-
0.5
).
astype
(
dtype
)
eps
=
tol
[
dtype
]
itp
=
(
0
,
1
,
3
,
2
,
4
)
itype
=
itp
[
type
]
...
...
pysharp/test/test_pysharp.py
View file @
f7778607
...
...
@@ -14,7 +14,8 @@ def test_GL(params):
job
=
pysharp
.
sharpjob_d
()
nalm
=
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
nalm_r
=
nalm
*
2
-
lmax
-
1
alm_r
=
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm_r
)
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
alm_r
=
rng
.
uniform
(
-
1.
,
1.
,
nalm_r
)
alm
=
np
.
empty
(
nalm
,
dtype
=
np
.
complex128
)
alm
[
0
:
lmax
+
1
]
=
alm_r
[
0
:
lmax
+
1
]
alm
[
lmax
+
1
:]
=
np
.
sqrt
(
0.5
)
*
(
alm_r
[
lmax
+
1
::
2
]
+
1j
*
alm_r
[
lmax
+
2
::
2
])
...
...
@@ -32,7 +33,8 @@ def test_fejer1(params):
job
=
pysharp
.
sharpjob_d
()
nalm
=
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
nalm_r
=
nalm
*
2
-
lmax
-
1
alm_r
=
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm_r
)
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
alm_r
=
rng
.
uniform
(
-
1.
,
1.
,
nalm_r
)
alm
=
np
.
empty
(
nalm
,
dtype
=
np
.
complex128
)
alm
[
0
:
lmax
+
1
]
=
alm_r
[
0
:
lmax
+
1
]
alm
[
lmax
+
1
:]
=
np
.
sqrt
(
0.5
)
*
(
alm_r
[
lmax
+
1
::
2
]
+
1j
*
alm_r
[
lmax
+
2
::
2
])
...
...
@@ -50,7 +52,8 @@ def test_dh(params):
job
=
pysharp
.
sharpjob_d
()
nalm
=
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
nalm_r
=
nalm
*
2
-
lmax
-
1
alm_r
=
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm_r
)
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
))
alm_r
=
rng
.
uniform
(
-
1.
,
1.
,
nalm_r
)
alm
=
np
.
empty
(
nalm
,
dtype
=
np
.
complex128
)
alm
[
0
:
lmax
+
1
]
=
alm_r
[
0
:
lmax
+
1
]
alm
[
lmax
+
1
:]
=
np
.
sqrt
(
0.5
)
*
(
alm_r
[
lmax
+
1
::
2
]
+
1j
*
alm_r
[
lmax
+
2
::
2
])
...
...
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