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Martin Reinecke
ducc
Commits
43c10198
Commit
43c10198
authored
Jun 08, 2020
by
Martin Reinecke
Browse files
Merge branch 'ducc_0_1' into tweak_setup
parents
6a752ec5
e3d06876
Changes
12
Hide whitespace changes
Inline
Side-by-side
python/demos/fft_bench.py
View file @
43c10198
...
...
@@ -3,7 +3,8 @@ import ducc_0_1.fft as duccfft
from
time
import
time
import
matplotlib.pyplot
as
plt
np
.
random
.
seed
(
42
)
rng
=
np
.
random
.
default_rng
(
42
)
def
_l2error
(
a
,
b
):
...
...
@@ -107,11 +108,11 @@ def bench_nd(ndim, nmax, nthr, ntry, tp, funcs, nrepeat, ttl="", filename="",
print
(
"{}D, type {}, max extent is {}:"
.
format
(
ndim
,
tp
,
nmax
))
results
=
[[]
for
i
in
range
(
len
(
funcs
))]
for
n
in
range
(
ntry
):
shp
=
np
.
random
.
randint
(
nmax
//
3
,
nmax
+
1
,
ndim
)
shp
=
rng
.
integers
(
nmax
//
3
,
nmax
+
1
,
ndim
)
if
nice_sizes
:
shp
=
np
.
array
([
duccfft
.
good_size
(
sz
)
for
sz
in
shp
])
print
(
" {0:4d}/{1}: shape={2} ..."
.
format
(
n
,
ntry
,
shp
),
end
=
" "
,
flush
=
True
)
a
=
(
np
.
random
.
rand
(
*
shp
)
-
0.5
+
1j
*
(
np
.
random
.
rand
(
*
shp
)
-
0.5
)).
astype
(
tp
)
a
=
(
rng
.
random
(
shp
)
-
0.5
+
1j
*
(
rng
.
random
(
shp
)
-
0.5
)).
astype
(
tp
)
output
=
[]
for
func
,
res
in
zip
(
funcs
,
results
):
tmp
=
func
(
a
,
nrepeat
,
nthr
)
...
...
python/demos/fft_stress.py
View file @
43c10198
...
...
@@ -2,6 +2,9 @@ import numpy as np
import
ducc_0_1.fft
as
fft
rng
=
np
.
random
.
default_rng
(
42
)
def
_l2error
(
a
,
b
,
axes
):
return
np
.
sqrt
(
np
.
sum
(
np
.
abs
(
a
-
b
)
**
2
)
/
np
.
sum
(
np
.
abs
(
a
)
**
2
))
/
np
.
log2
(
np
.
max
([
2
,
np
.
prod
(
np
.
take
(
a
.
shape
,
axes
))]))
...
...
@@ -41,15 +44,15 @@ def update_err(err, name, value, shape):
def
test
(
err
):
ndim
=
np
.
random
.
randint
(
1
,
5
)
ndim
=
rng
.
integers
(
1
,
5
)
axlen
=
int
((
2
**
20
)
**
(
1.
/
ndim
))
shape
=
np
.
random
.
randint
(
1
,
axlen
,
ndim
)
shape
=
rng
.
integers
(
1
,
axlen
,
ndim
)
axes
=
np
.
arange
(
ndim
)
np
.
random
.
shuffle
(
axes
)
nax
=
np
.
random
.
randint
(
1
,
ndim
+
1
)
rng
.
shuffle
(
axes
)
nax
=
rng
.
integers
(
1
,
ndim
+
1
)
axes
=
axes
[:
nax
]
lastsize
=
shape
[
axes
[
-
1
]]
a
=
np
.
random
.
rand
(
*
shape
)
-
0.5
+
1j
*
np
.
random
.
rand
(
*
shape
)
-
0.5j
a
=
rng
.
random
(
shape
)
-
0.5
+
1j
*
rng
.
random
(
shape
)
-
0.5j
a_32
=
a
.
astype
(
np
.
complex64
)
b
=
ifftn
(
fftn
(
a
,
axes
=
axes
,
nthreads
=
nthreads
),
axes
=
axes
,
inorm
=
2
,
nthreads
=
nthreads
)
...
...
python/demos/healpix_perftest.py
View file @
43c10198
...
...
@@ -3,17 +3,19 @@ import math
import
numpy
as
np
import
ducc_0_1.healpix
as
ph
rng
=
np
.
random
.
default_rng
(
42
)
def
report
(
name
,
vlen
,
ntry
,
nside
,
isnest
,
perf
):
print
(
name
,
": "
,
perf
*
1e-6
,
"MOps/s"
,
sep
=
""
)
def
random_ptg
(
vlen
):
res
=
np
.
empty
((
vlen
,
2
),
dtype
=
np
.
float64
)
res
[:,
0
]
=
np
.
arccos
((
np
.
random
.
random_sample
(
vlen
)
-
0.5
)
*
2
)
res
[:,
1
]
=
np
.
random
.
random_sample
(
vlen
)
*
2
*
math
.
pi
res
[:,
0
]
=
np
.
arccos
((
rng
.
random
(
vlen
)
-
0.5
)
*
2
)
res
[:,
1
]
=
rng
.
random
(
vlen
)
*
2
*
math
.
pi
return
res
def
random_pix
(
nside
,
vlen
):
return
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
,
dtype
=
np
.
int64
)
return
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
,
dtype
=
np
.
int64
)
def
dummy
(
vlen
):
inp
=
np
.
zeros
(
vlen
,
dtype
=
np
.
int64
)
...
...
python/demos/healpix_test.py
View file @
43c10198
...
...
@@ -2,10 +2,12 @@ import ducc_0_1.healpix as ph
import
numpy
as
np
import
math
rng
=
np
.
random
.
default_rng
(
42
)
def
random_ptg
(
vlen
):
res
=
np
.
empty
((
vlen
,
2
),
dtype
=
np
.
float64
)
res
[:,
0
]
=
np
.
arccos
((
np
.
random
.
random_sample
(
vlen
)
-
0.5
)
*
2
)
res
[:,
1
]
=
np
.
random
.
random_sample
(
vlen
)
*
2
*
math
.
pi
res
[:,
0
]
=
np
.
arccos
((
rng
.
random
(
vlen
)
-
0.5
)
*
2
)
res
[:,
1
]
=
rng
.
random
(
vlen
)
*
2
*
math
.
pi
return
res
def
check_pixangpix
(
vlen
,
ntry
,
nside
,
isnest
):
...
...
@@ -13,7 +15,7 @@ def check_pixangpix(vlen,ntry,nside,isnest):
cnt
=
0
while
cnt
<
ntry
:
cnt
+=
1
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
out
=
base
.
ang2pix
(
base
.
pix2ang
(
inp
))
if
not
np
.
array_equal
(
inp
,
out
):
raise
ValueError
(
"Test failed"
)
...
...
@@ -33,7 +35,7 @@ def check_pixangvecpix(vlen, ntry, nside, isnest):
cnt
=
0
while
cnt
<
ntry
:
cnt
+=
1
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
out
=
base
.
vec2pix
(
ph
.
ang2vec
(
base
.
pix2ang
(
inp
)))
if
not
np
.
array_equal
(
inp
,
out
):
raise
ValueError
(
"Test failed"
)
...
...
@@ -43,7 +45,7 @@ def check_pixvecangpix(vlen, ntry, nside, isnest):
cnt
=
0
while
cnt
<
ntry
:
cnt
+=
1
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
out
=
base
.
ang2pix
(
ph
.
vec2ang
(
base
.
pix2vec
(
inp
)))
if
not
np
.
array_equal
(
inp
,
out
):
raise
ValueError
(
"Test failed"
)
...
...
@@ -53,7 +55,7 @@ def check_pixvecpix(vlen,ntry,nside,isnest):
cnt
=
0
while
(
cnt
<
ntry
):
cnt
+=
1
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
out
=
base
.
vec2pix
(
base
.
pix2vec
(
inp
))
if
(
np
.
array_equal
(
inp
,
out
)
==
False
):
raise
ValueError
(
"Test failed"
)
...
...
@@ -63,7 +65,7 @@ def check_ringnestring(vlen,ntry,nside):
cnt
=
0
while
(
cnt
<
ntry
):
cnt
+=
1
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
out
=
base
.
nest2ring
(
base
.
ring2nest
(
inp
))
if
(
np
.
array_equal
(
inp
,
out
)
==
False
):
raise
ValueError
(
"Test failed"
)
...
...
@@ -73,7 +75,7 @@ def check_pixxyfpix(vlen,ntry,nside,isnest):
cnt
=
0
while
(
cnt
<
ntry
):
cnt
+=
1
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside
*
nside
-
1
,
size
=
vlen
)
out
=
base
.
xyf2pix
(
base
.
pix2xyf
(
inp
))
if
(
np
.
array_equal
(
inp
,
out
)
==
False
):
raise
ValueError
(
"Test failed"
)
...
...
python/demos/sht_demo.py
View file @
43c10198
...
...
@@ -35,7 +35,8 @@ job = sht.sharpjob_d()
# number of required a_lm coefficients
nalm
=
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
# get random a_lm
alm
=
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm
)
+
1j
*
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm
)
rng
=
np
.
random
.
default_rng
(
42
)
alm
=
rng
.
uniform
(
-
1.
,
1.
,
nalm
)
+
1j
*
rng
.
uniform
(
-
1.
,
1.
,
nalm
)
# make a_lm with m==0 real-valued
alm
[
0
:
lmax
+
1
].
imag
=
0.
...
...
python/demos/sht_upsample_demo.py
View file @
43c10198
...
...
@@ -14,7 +14,8 @@ print("Generating spherical harmonic coefficients up to {}".format(lmax))
# number of required a_lm coefficients
nalm
=
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
# get random a_lm
alm
=
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm
)
+
1j
*
np
.
random
.
uniform
(
-
1.
,
1.
,
nalm
)
rng
=
np
.
random
.
default_rng
(
42
)
alm
=
rng
.
uniform
(
-
1.
,
1.
,
nalm
)
+
1j
*
rng
.
uniform
(
-
1.
,
1.
,
nalm
)
# make a_lm with m==0 real-valued
alm
[
0
:
lmax
+
1
].
imag
=
0.
...
...
python/demos/totalconvolve_accuracy.py
View file @
43c10198
...
...
@@ -5,15 +5,15 @@ import ducc_0_1.misc as misc
import
time
import
matplotlib.pyplot
as
plt
np
.
random
.
seed
(
4
8
)
rng
=
np
.
random
.
default_rng
(
4
2
)
def
nalm
(
lmax
,
mmax
):
return
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
def
random_alm
(
lmax
,
mmax
,
ncomp
):
res
=
np
.
random
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
\
+
1j
*
np
.
random
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
res
=
rng
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
\
+
1j
*
rng
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
# make a_lm with m==0 real-valued
res
[
0
:
lmax
+
1
,:].
imag
=
0.
return
res
...
...
python/demos/totalconvolve_demo.py
View file @
43c10198
...
...
@@ -2,15 +2,15 @@ import ducc_0_1.totalconvolve as totalconvolve
import
numpy
as
np
import
time
np
.
random
.
seed
(
48
)
rng
=
np
.
random
.
default_rng
(
48
)
def
nalm
(
lmax
,
mmax
):
return
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
def
random_alm
(
lmax
,
mmax
,
ncomp
):
res
=
np
.
random
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
\
+
1j
*
np
.
random
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
res
=
rng
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
\
+
1j
*
rng
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
# make a_lm with m==0 real-valued
res
[
0
:
lmax
+
1
,:].
imag
=
0.
return
res
...
...
@@ -68,7 +68,7 @@ t0=time.time()
nth
=
lmax
+
1
nph
=
2
*
lmax
+
1
ptg
=
np
.
random
.
uniform
(
0.
,
1.
,
3
*
nptg
).
reshape
(
nptg
,
3
)
ptg
=
rng
.
uniform
(
0.
,
1.
,
3
*
nptg
).
reshape
(
nptg
,
3
)
ptg
[:,
0
]
*=
np
.
pi
ptg
[:,
1
]
*=
2
*
np
.
pi
ptg
[:,
2
]
*=
2
*
np
.
pi
...
...
@@ -78,7 +78,7 @@ bar=foo.interpol(ptg)
del
foo
print
(
"Interpolating {} random angle triplets: {}s"
.
format
(
nptg
,
time
.
time
()
-
t0
))
t0
=
time
.
time
()
fake
=
np
.
random
.
uniform
(
0.
,
1.
,
(
ptg
.
shape
[
0
],
ncomp2
))
fake
=
rng
.
uniform
(
0.
,
1.
,
(
ptg
.
shape
[
0
],
ncomp2
))
foo2
=
totalconvolve
.
PyInterpolator
(
lmax
,
kmax
,
ncomp2
,
epsilon
=
epsilon
,
ofactor
=
ofactor
,
nthreads
=
nthreads
)
t0
=
time
.
time
()
foo2
.
deinterpol
(
ptg
.
reshape
((
-
1
,
3
)),
fake
)
...
...
python/test/test_fft.py
View file @
43c10198
...
...
@@ -71,7 +71,7 @@ dtypes = [np.float32, np.float64,
@
pmp
(
"inorm"
,
[
0
,
1
,
2
])
@
pmp
(
"dtype"
,
dtypes
)
def
test1D
(
len
,
inorm
,
dtype
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
len
)
-
0.5
+
1j
*
rng
.
random
(
len
)
-
0.5j
a
=
a
.
astype
(
ctype
[
dtype
])
eps
=
tol
[
dtype
]
...
...
@@ -92,7 +92,7 @@ def test1D(len, inorm, dtype):
@
pmp
(
"nthreads"
,
(
0
,
1
,
2
))
@
pmp
(
"inorm"
,
[
0
,
1
,
2
])
def
test_fftn
(
shp
,
nthreads
,
inorm
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
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
)
...
...
@@ -105,7 +105,7 @@ 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
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
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
)
...
...
@@ -116,7 +116,7 @@ def test_fftn2D(shp, axes, inorm):
@
pmp
(
"shp"
,
shapes
)
def
test_rfftn
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
tmp1
=
rfftn
(
a
)
tmp2
=
fftn
(
a
)
...
...
@@ -142,7 +142,7 @@ def test_rfftn(shp):
@
pmp
(
"shp"
,
shapes2D
)
@
pmp
(
"axes"
,
((
0
,),
(
1
,),
(
0
,
1
),
(
1
,
0
)))
def
test_rfftn2D
(
shp
,
axes
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
tmp1
=
rfftn
(
a
,
axes
=
axes
)
tmp2
=
fftn
(
a
,
axes
=
axes
)
...
...
@@ -157,7 +157,7 @@ def test_rfftn2D(shp, axes):
@
pmp
(
"shp"
,
shapes
)
def
test_identity
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
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
)
...
...
@@ -171,7 +171,7 @@ def test_identity(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_identity_r
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
b
=
a
.
astype
(
np
.
float32
)
for
ax
in
range
(
a
.
ndim
):
...
...
@@ -184,7 +184,7 @@ def test_identity_r(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_identity_r2
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
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
)
...
...
@@ -192,7 +192,7 @@ def test_identity_r2(shp):
@
pmp
(
"shp"
,
shapes2D
+
shapes3D
)
def
test_genuine_hartley
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
v1
=
fft
.
genuine_hartley
(
a
)
v2
=
fftn
(
a
.
astype
(
np
.
complex128
))
...
...
@@ -202,7 +202,7 @@ def test_genuine_hartley(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_hartley_identity
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
v1
=
fft
.
separable_hartley
(
fft
.
separable_hartley
(
a
))
/
a
.
size
assert_
(
_l2error
(
a
,
v1
)
<
1e-15
)
...
...
@@ -210,7 +210,7 @@ def test_hartley_identity(shp):
@
pmp
(
"shp"
,
shapes
)
def
test_genuine_hartley_identity
(
shp
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
v1
=
fft
.
genuine_hartley
(
fft
.
genuine_hartley
(
a
))
/
a
.
size
assert_
(
_l2error
(
a
,
v1
)
<
1e-15
)
...
...
@@ -223,7 +223,7 @@ 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
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
rng
.
random
(
shp
)
-
0.5
assert_
(
_l2error
(
fft
.
genuine_hartley
(
fft
.
genuine_hartley
(
a
,
axes
=
axes
),
axes
=
axes
,
inorm
=
2
),
a
)
<
1e-15
)
...
...
@@ -234,7 +234,7 @@ def test_genuine_hartley_2D(shp, axes):
@
pmp
(
"type"
,
[
1
,
2
,
3
,
4
])
@
pmp
(
"dtype"
,
dtypes
)
def
testdcst1D
(
len
,
inorm
,
type
,
dtype
):
rng
=
np
.
random
.
default_rng
(
np
.
random
.
SeedSequence
(
42
)
)
rng
=
np
.
random
.
default_rng
(
42
)
a
=
(
rng
.
random
(
len
)
-
0.5
).
astype
(
dtype
)
eps
=
tol
[
dtype
]
itp
=
(
0
,
1
,
3
,
2
,
4
)
...
...
python/test/test_healpix.py
View file @
43c10198
...
...
@@ -23,50 +23,56 @@ nside_ring = list2fixture(pow2+nonpow2)
vlen
=
list2fixture
([
1
,
10
,
100
,
1000
,
10000
])
def
random_ptg
(
vlen
):
def
random_ptg
(
rng
,
vlen
):
res
=
np
.
empty
((
vlen
,
2
),
dtype
=
np
.
float64
)
res
[:,
0
]
=
np
.
arccos
((
np
.
random
.
random_sample
(
vlen
)
-
0.5
)
*
2
)
# res[:, 0] = math.pi*
np.random.random_sample
(vlen)
res
[:,
1
]
=
np
.
random
.
random_sample
(
vlen
)
*
2
*
math
.
pi
res
[:,
0
]
=
np
.
arccos
((
rng
.
random
(
vlen
)
-
0.5
)
*
2
)
# res[:, 0] = math.pi*
rng.random
(vlen)
res
[:,
1
]
=
rng
.
random
(
vlen
)
*
2
*
math
.
pi
return
res
def
test_pixangpix_nest
(
vlen
,
nside_nest
):
base
=
ph
.
Healpix_Base
(
nside_nest
,
"NEST"
)
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside_nest
*
nside_nest
-
1
,
size
=
vlen
)
rng
=
np
.
random
.
default_rng
(
42
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside_nest
*
nside_nest
-
1
,
size
=
vlen
)
out
=
base
.
ang2pix
(
base
.
pix2ang
(
inp
))
assert_equal
(
inp
,
out
)
def
test_pixangpix_ring
(
vlen
,
nside_ring
):
base
=
ph
.
Healpix_Base
(
nside_ring
,
"RING"
)
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside_ring
*
nside_ring
-
1
,
size
=
vlen
)
rng
=
np
.
random
.
default_rng
(
42
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside_ring
*
nside_ring
-
1
,
size
=
vlen
)
out
=
base
.
ang2pix
(
base
.
pix2ang
(
inp
))
assert_equal
(
inp
,
out
)
def
test_vecpixvec_nest
(
vlen
,
nside_nest
):
base
=
ph
.
Healpix_Base
(
nside_nest
,
"NEST"
)
inp
=
ph
.
ang2vec
(
random_ptg
(
vlen
))
rng
=
np
.
random
.
default_rng
(
42
)
inp
=
ph
.
ang2vec
(
random_ptg
(
rng
,
vlen
))
out
=
base
.
pix2vec
(
base
.
vec2pix
(
inp
))
assert_equal
(
np
.
all
(
ph
.
v_angle
(
inp
,
out
)
<
base
.
max_pixrad
()),
True
)
def
test_vecpixvec_ring
(
vlen
,
nside_ring
):
base
=
ph
.
Healpix_Base
(
nside_ring
,
"RING"
)
inp
=
ph
.
ang2vec
(
random_ptg
(
vlen
))
rng
=
np
.
random
.
default_rng
(
42
)
inp
=
ph
.
ang2vec
(
random_ptg
(
rng
,
vlen
))
out
=
base
.
pix2vec
(
base
.
vec2pix
(
inp
))
assert_equal
(
np
.
all
(
ph
.
v_angle
(
inp
,
out
)
<
base
.
max_pixrad
()),
True
)
def
test_ringnestring
(
vlen
,
nside_nest
):
base
=
ph
.
Healpix_Base
(
nside_nest
,
"NEST"
)
inp
=
np
.
random
.
randint
(
low
=
0
,
high
=
12
*
nside_nest
*
nside_nest
-
1
,
size
=
vlen
)
rng
=
np
.
random
.
default_rng
(
42
)
inp
=
rng
.
integers
(
low
=
0
,
high
=
12
*
nside_nest
*
nside_nest
-
1
,
size
=
vlen
)
out
=
base
.
ring2nest
(
base
.
nest2ring
(
inp
))
assert_equal
(
np
.
all
(
out
==
inp
),
True
)
def
test_vecangvec
(
vlen
):
inp
=
random_ptg
(
vlen
)
rng
=
np
.
random
.
default_rng
(
42
)
inp
=
random_ptg
(
rng
,
vlen
)
out
=
ph
.
vec2ang
(
ph
.
ang2vec
(
inp
))
assert_equal
(
np
.
all
(
np
.
abs
(
out
-
inp
)
<
1e-14
),
True
)
python/test/test_totalconvolve.py
View file @
43c10198
...
...
@@ -23,9 +23,9 @@ def nalm(lmax, mmax):
return
((
mmax
+
1
)
*
(
mmax
+
2
))
//
2
+
(
mmax
+
1
)
*
(
lmax
-
mmax
)
def
random_alm
(
lmax
,
mmax
,
ncomp
):
res
=
np
.
random
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
\
+
1j
*
np
.
random
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
def
random_alm
(
rng
,
lmax
,
mmax
,
ncomp
):
res
=
rng
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
\
+
1j
*
rng
.
uniform
(
-
1.
,
1.
,
(
nalm
(
lmax
,
mmax
),
ncomp
))
# make a_lm with m==0 real-valued
res
[
0
:
lmax
+
1
,:].
imag
=
0.
return
res
...
...
@@ -57,16 +57,17 @@ def myalmdot(a1,a2,lmax,mmax,spin):
@
pmp
(
"separate"
,
[
True
,
False
])
def
test_against_convolution
(
lkmax
,
ncomp
,
separate
):
lmax
,
kmax
=
lkmax
slm
=
random_alm
(
lmax
,
lmax
,
ncomp
)
blm
=
random_alm
(
lmax
,
kmax
,
ncomp
)
rng
=
np
.
random
.
default_rng
(
42
)
slm
=
random_alm
(
rng
,
lmax
,
lmax
,
ncomp
)
blm
=
random_alm
(
rng
,
lmax
,
kmax
,
ncomp
)
inter
=
totalconvolve
.
PyInterpolator
(
slm
,
blm
,
separate
,
lmax
,
kmax
,
epsilon
=
1e-8
,
nthreads
=
2
)
nptg
=
50
ptg
=
np
.
zeros
((
nptg
,
3
))
ptg
[:,
0
]
=
np
.
random
.
uniform
(
0
,
np
.
pi
,
nptg
)
ptg
[:,
1
]
=
np
.
random
.
uniform
(
0
,
2
*
np
.
pi
,
nptg
)
ptg
[:,
2
]
=
np
.
random
.
uniform
(
-
np
.
pi
,
np
.
pi
,
nptg
)
ptg
[:,
0
]
=
rng
.
uniform
(
0
,
np
.
pi
,
nptg
)
ptg
[:,
1
]
=
rng
.
uniform
(
0
,
2
*
np
.
pi
,
nptg
)
ptg
[:,
2
]
=
rng
.
uniform
(
-
np
.
pi
,
np
.
pi
,
nptg
)
res1
=
inter
.
interpol
(
ptg
)
...
...
@@ -87,17 +88,18 @@ def test_against_convolution(lkmax, ncomp, separate):
@
pmp
(
"separate"
,
[
True
,
False
])
def
test_adjointness
(
lkmax
,
ncomp
,
separate
):
lmax
,
kmax
=
lkmax
slm
=
random_alm
(
lmax
,
lmax
,
ncomp
)
blm
=
random_alm
(
lmax
,
kmax
,
ncomp
)
rng
=
np
.
random
.
default_rng
(
42
)
slm
=
random_alm
(
rng
,
lmax
,
lmax
,
ncomp
)
blm
=
random_alm
(
rng
,
lmax
,
kmax
,
ncomp
)
nptg
=
100000
ptg
=
np
.
random
.
uniform
(
0.
,
1.
,
nptg
*
3
).
reshape
(
nptg
,
3
)
ptg
=
rng
.
uniform
(
0.
,
1.
,
nptg
*
3
).
reshape
(
nptg
,
3
)
ptg
[:,
0
]
*=
np
.
pi
ptg
[:,
1
]
*=
2
*
np
.
pi
ptg
[:,
2
]
*=
2
*
np
.
pi
foo
=
totalconvolve
.
PyInterpolator
(
slm
,
blm
,
separate
,
lmax
,
kmax
,
epsilon
=
1e-6
,
nthreads
=
2
)
inter1
=
foo
.
interpol
(
ptg
)
ncomp2
=
inter1
.
shape
[
1
]
fake
=
np
.
random
.
uniform
(
0.
,
1.
,
(
ptg
.
shape
[
0
],
ncomp2
))
fake
=
rng
.
uniform
(
0.
,
1.
,
(
ptg
.
shape
[
0
],
ncomp2
))
foo2
=
totalconvolve
.
PyInterpolator
(
lmax
,
kmax
,
ncomp2
,
epsilon
=
1e-6
,
nthreads
=
2
)
foo2
.
deinterpol
(
ptg
.
reshape
((
-
1
,
3
)),
fake
)
bla
=
foo2
.
getSlm
(
blm
)
...
...
python/test/test_wgridder.py
View file @
43c10198
...
...
@@ -50,15 +50,15 @@ def explicit_gridder(uvw, freq, ms, wgt, nxdirty, nydirty, xpixsize, ypixsize,
def
test_adjointness_ms2dirty
(
nxdirty
,
nydirty
,
ofactor
,
nrow
,
nchan
,
epsilon
,
singleprec
,
wstacking
,
use_wgt
,
nthreads
):
if
singleprec
and
epsilon
<
5e-5
:
return
np
.
random
.
seed
(
42
)
rng
=
np
.
random
.
default_rng
(
42
)
pixsizex
=
np
.
pi
/
180
/
60
/
nxdirty
*
0.2398
pixsizey
=
np
.
pi
/
180
/
60
/
nxdirty
speedoflight
,
f0
=
299792458.
,
1e9
freq
=
f0
+
np
.
arange
(
nchan
)
*
(
f0
/
nchan
)
uvw
=
(
np
.
random
.
rand
(
nrow
,
3
)
-
0.5
)
/
(
pixsizey
*
f0
/
speedoflight
)
ms
=
np
.
random
.
rand
(
nrow
,
nchan
)
-
0.5
+
1j
*
(
np
.
random
.
rand
(
nrow
,
nchan
)
-
0.5
)
wgt
=
np
.
random
.
rand
(
nrow
,
nchan
)
if
use_wgt
else
None
dirty
=
np
.
random
.
rand
(
nxdirty
,
nydirty
)
-
0.5
uvw
=
(
rng
.
random
(
(
nrow
,
3
)
)
-
0.5
)
/
(
pixsizey
*
f0
/
speedoflight
)
ms
=
rng
.
random
(
(
nrow
,
nchan
)
)
-
0.5
+
1j
*
(
rng
.
random
(
(
nrow
,
nchan
)
)
-
0.5
)
wgt
=
rng
.
random
(
(
nrow
,
nchan
)
)
if
use_wgt
else
None
dirty
=
rng
.
random
(
(
nxdirty
,
nydirty
)
)
-
0.5
nu
,
nv
=
int
(
nxdirty
*
ofactor
)
+
1
,
int
(
nydirty
*
ofactor
)
+
1
if
nu
&
1
:
nu
+=
1
...
...
@@ -91,14 +91,14 @@ def test_adjointness_ms2dirty(nxdirty, nydirty, ofactor, nrow, nchan, epsilon, s
def
test_ms2dirty_against_wdft2
(
nxdirty
,
nydirty
,
ofactor
,
nrow
,
nchan
,
epsilon
,
singleprec
,
wstacking
,
use_wgt
,
fov
,
nthreads
):
if
singleprec
and
epsilon
<
5e-5
:
return
np
.
random
.
seed
(
4
0
)
rng
=
np
.
random
.
default_rng
(
4
2
)
pixsizex
=
fov
*
np
.
pi
/
180
/
nxdirty
pixsizey
=
fov
*
np
.
pi
/
180
/
nydirty
*
1.1
speedoflight
,
f0
=
299792458.
,
1e9
freq
=
f0
+
np
.
arange
(
nchan
)
*
(
f0
/
nchan
)
uvw
=
(
np
.
random
.
rand
(
nrow
,
3
)
-
0.5
)
/
(
pixsizex
*
f0
/
speedoflight
)
ms
=
np
.
random
.
rand
(
nrow
,
nchan
)
-
0.5
+
1j
*
(
np
.
random
.
rand
(
nrow
,
nchan
)
-
0.5
)
wgt
=
np
.
random
.
rand
(
nrow
,
nchan
)
if
use_wgt
else
None
uvw
=
(
rng
.
random
(
(
nrow
,
3
)
)
-
0.5
)
/
(
pixsizex
*
f0
/
speedoflight
)
ms
=
rng
.
random
(
(
nrow
,
nchan
)
)
-
0.5
+
1j
*
(
rng
.
random
(
(
nrow
,
nchan
)
)
-
0.5
)
wgt
=
rng
.
random
(
(
nrow
,
nchan
)
)
if
use_wgt
else
None
nu
,
nv
=
int
(
nxdirty
*
ofactor
)
+
1
,
int
(
nydirty
*
ofactor
)
+
1
if
nu
&
1
:
nu
+=
1
...
...
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