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gh-286: mappers from metadata #344

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88 changes: 66 additions & 22 deletions examples/example.ipynb
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15 changes: 15 additions & 0 deletions heracles/healpy.py
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Original file line number Diff line number Diff line change
Expand Up @@ -202,6 +202,21 @@ def transform(self, data: NDArray[Any]) -> NDArray[Any]:

return alm

def set_for_map(self, m: NDArray[Any], spin: int) -> NDArray[Any]:
"""
Reads external data into the mapper's format.
"""
update_metadata(
m,
geometry="healpix",
kernel="healpix",
nside=self.__nside,
lmax=self.__lmax,
deconv=self.__deconv,
spin=spin,
)
return m

def resample(self, data: NDArray[Any]) -> NDArray[Any]:
"""
Change resolution of HEALPix map.
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5 changes: 5 additions & 0 deletions heracles/mapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -62,6 +62,11 @@ def map_values(
Add values to data.
"""

def set_for_map(self, m: NDArray[Any], spin: int) -> NDArray[Any]:
"""
Reads external data into the mapper's format.
"""

def transform(self, data: NDArray[Any]) -> NDArray[Any]:
"""
The spherical harmonic transform for this mapper.
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14 changes: 5 additions & 9 deletions heracles/mapping.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,7 @@

from heracles.core import TocDict, toc_match
from heracles.progress import Progress, NoProgress
from heracles.healpy import HealpixMapper

if TYPE_CHECKING:
from collections.abc import Mapping, MutableMapping, Sequence
Expand Down Expand Up @@ -128,7 +129,6 @@ def _task_done():


def transform(
fields: Mapping[Any, Field],
data: Mapping[tuple[Any, Any], NDArray],
*,
out: MutableMapping[tuple[Any, Any], NDArray] | None = None,
Expand All @@ -151,15 +151,11 @@ def transform(
for (k, i), m in data.items():
current += 1
progress.update(current, total)

with progress.task(f"({k}, {i})"):
try:
field = fields[k]
except KeyError:
msg = f"unknown field name: {k}"
raise ValueError(msg) from None

out[k, i] = field.mapper_or_error.transform(m)
# create mapper
nside, lmax = m.dtype.metadata["nside"], m.dtype.metadata["lmax"]
mapper = HealpixMapper(nside=nside, lmax=lmax)
out[k, i] = mapper.transform(m)

# return the toc dict of alms
return out
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