Commit 24cef791 authored by Martin Reinecke's avatar Martin Reinecke

more renaming

parent 3439205f
......@@ -348,7 +348,7 @@ The employed algorithm is highly accurate, even for angles close to 0 or pi.
void add_pyHealpix(py::module &msup)
{
using namespace pybind11::literals;
auto m = msup.def_submodule("pyHealpix");
auto m = msup.def_submodule("healpix");
m.doc() = pyHealpix_DS;
py::class_<Pyhpbase> (m, "Healpix_Base", py::module_local())
......
import time
import math
import numpy as np
import ducc_0_1.pyHealpix as ph
import ducc_0_1.healpix as ph
def report (name,vlen,ntry,nside,isnest,perf):
print (name,": ",perf*1e-6,"MOps/s",sep="")
......
import ducc_0_1.pyHealpix as ph
import ducc_0_1.healpix as ph
import numpy as np
import math
......
import ducc_0_1.pyHealpix as ph
import ducc_0_1.healpix as ph
import numpy as np
import math
import pytest
......
......@@ -4,7 +4,7 @@
# and Fejer quadrature rules are very similar (see the documentation in
# sharp_geomhelpers.h). An exact analogon to DH can be added easily, I expect.
import pysharp
import ducc_0_1.sht as sht
import numpy as np
from time import time
......@@ -21,7 +21,7 @@ mmax = lmax
nlon = 4096
# create an object which will do the SHT work
job = pysharp.sharpjob_d()
job = sht.sharpjob_d()
# create a set of spherical harmonic coefficients to transform
# Libsharp works exclusively on real-valued maps. The corresponding harmonic
......
......@@ -271,7 +271,7 @@ py::array py_upsample_to_cc(const py::array &in, size_t nrings_out, bool has_np,
void add_pysharp(py::module &msup)
{
using namespace pybind11::literals;
auto m = msup.def_submodule("pysharp");
auto m = msup.def_submodule("sht");
m.doc() = pysharp_DS;
py::class_<py_sharpjob<double>> (m, "sharpjob_d", py::module_local())
......
import ducc_0_1.pysharp as pysharp
import ducc_0_1.sht as sht
import numpy as np
import math
import pytest
......@@ -11,7 +11,7 @@ pmp = pytest.mark.parametrize
(511, 0, 512, 1)])
def test_GL(params):
lmax, mmax, nlat, nlon = params
job = pysharp.sharpjob_d()
job = sht.sharpjob_d()
nalm = ((mmax+1)*(mmax+2))//2 + (mmax+1)*(lmax-mmax)
nalm_r = nalm*2-lmax-1
rng = np.random.default_rng(np.random.SeedSequence(42))
......@@ -30,7 +30,7 @@ def test_GL(params):
(511, 0, 1024, 1)])
def test_fejer1(params):
lmax, mmax, nlat, nlon = params
job = pysharp.sharpjob_d()
job = sht.sharpjob_d()
nalm = ((mmax+1)*(mmax+2))//2 + (mmax+1)*(lmax-mmax)
nalm_r = nalm*2-lmax-1
rng = np.random.default_rng(np.random.SeedSequence(42))
......@@ -49,7 +49,7 @@ def test_fejer1(params):
(511, 0, 1024, 1)])
def test_dh(params):
lmax, mmax, nlat, nlon = params
job = pysharp.sharpjob_d()
job = sht.sharpjob_d()
nalm = ((mmax+1)*(mmax+2))//2 + (mmax+1)*(lmax-mmax)
nalm_r = nalm*2-lmax-1
rng = np.random.default_rng(np.random.SeedSequence(42))
......
import pysharp
import ducc_0_1.sht as sht
import numpy as np
from time import time
......@@ -17,7 +17,7 @@ alm = np.random.uniform(-1., 1., nalm) + 1j*np.random.uniform(-1., 1., nalm)
# make a_lm with m==0 real-valued
alm[0:lmax+1].imag = 0.
job = pysharp.sharpjob_d()
job = sht.sharpjob_d()
# describe the a_lm array to the job
job.set_triangular_alm_info(lmax, mmax)
......@@ -33,7 +33,7 @@ map = job.alm2map(alm)
print("time for map synthesis: {}s".format(time()-t0))
nlat2 = 2*lmax+3
t0=time()
map2 = pysharp.upsample_to_cc(map.reshape((nlat,nlon)), nlat2, False, False)
map2 = sht.upsample_to_cc(map.reshape((nlat,nlon)), nlat2, False, False)
print("time for upsampling: {}s".format(time()-t0))
job.set_cc_geometry(nlat2, nlon)
t0=time()
......@@ -55,7 +55,7 @@ map = job.alm2map(alm)
print("time for map synthesis: {}s".format(time()-t0))
nlat2 = 2*lmax+3
t0=time()
map2 = pysharp.upsample_to_cc(map.reshape((nlat,nlon)), nlat2, True, True)
map2 = sht.upsample_to_cc(map.reshape((nlat,nlon)), nlat2, True, True)
print("time for upsampling: {}s".format(time()-t0))
job.set_cc_geometry(nlat2, nlon)
t0=time()
......@@ -78,7 +78,7 @@ map = job.alm2map(alm)
print("time for map synthesis: {}s".format(time()-t0))
nlat2 = 2*lmax+3
t0=time()
map2 = pysharp.upsample_to_cc(map.reshape((nlat,nlon)), nlat2, False, True)
map2 = sht.upsample_to_cc(map.reshape((nlat,nlon)), nlat2, False, True)
print("time for upsampling: {}s".format(time()-t0))
job.set_cc_geometry(nlat2, nlon)
t0=time()
......
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