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Feature/cache healpix nested grid #307

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Feature/cache healpix nested grid #307

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df257ee
start to cache the healpix nested grid
mathleur Jan 17, 2025
530d47b
cache more
mathleur Jan 20, 2025
9e8886b
black
mathleur Jan 23, 2025
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2 changes: 1 addition & 1 deletion polytope_feature/datacube/transformations/datacube_mappers/datacube_mappers.py
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Original file line number Diff line number Diff line change
Expand Up @@ -69,7 +69,7 @@ def _resolution(self):
pass

def first_axis_vals(self):
return self._final_transformation.first_axis_vals()
return self._final_transformation._first_axis_vals

def second_axis_vals(self, first_val):
return self._final_transformation.second_axis_vals(first_val)
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21 changes: 14 additions & 7 deletions polytope_feature/datacube/transformations/datacube_mappers/mapper_types/healpix_nested.py
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Original file line number Diff line number Diff line change
Expand Up @@ -17,6 +17,7 @@ def __init__(self, base_axis, mapped_axes, resolution, md5_hash=None, local_area
self.k = int(math.log2(self.Nside))
self.Npix = 12 * self.Nside * self.Nside
self.Ncap = (self.Nside * (self.Nside - 1)) << 1
self._cached_longitudes = {}
if md5_hash is not None:
self.md5_hash = md5_hash
else:
Expand Down Expand Up @@ -74,13 +75,19 @@ def HEALPix_nj(self, i):
return self.HEALPix_nj(ni - 1 - i)

def HEALPix_longitudes(self, i):
Nj = self.HEALPix_nj(i)
step = 360.0 / Nj
start = (
step / 2.0 if i < self._resolution or 3 * self._resolution - 1 < i or (i + self._resolution) % 2 else 0.0
)

longitudes = [start + n * step for n in range(Nj)]
if i in self._cached_longitudes:
return self._cached_longitudes[i]
else:
Nj = self.HEALPix_nj(i)
step = 360.0 / Nj
start = (
step / 2.0
if i < self._resolution or 3 * self._resolution - 1 < i or (i + self._resolution) % 2
else 0.0
)

longitudes = [start + n * step for n in range(Nj)]
self._cached_longitudes[i] = longitudes

return longitudes

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