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#151 - updates to tests (in progress, metadata to check)
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Bradley Augstein authored and Bradley Augstein committed Jun 12, 2024
1 parent 0112bf8 commit 81276b0
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Showing 2 changed files with 44 additions and 41 deletions.
14 changes: 8 additions & 6 deletions heracles/fields.py
Original file line number Diff line number Diff line change
Expand Up @@ -74,7 +74,7 @@ def __init__(
self,
mapper: Mapper | None,
*columns: str,
weight: str | None,
weight: str | None = None,
mask: str | None = None,
) -> None:
"""Initialise the field."""
Expand Down Expand Up @@ -120,9 +120,11 @@ async def __call__(
...

def CheckColumns(self, *expected):
if(self.columns==None):
raise ValueError("No columns defined!")
if(len(expected)!=len(self.columns)):
error = "Column error. Expected " + str(len(expected)) + " columns"
error += "with a format " + str(expected) + ". Received " + str(self.columns)
error += " with a format " + str(expected) + ". Received " + str(self.columns)
raise ValueError(error)


Expand Down Expand Up @@ -282,9 +284,9 @@ async def __call__(

# get the column definition of the catalogue
col = self.columns
self.CheckColumns(self, "longitude", "latitude", "value")
self.CheckColumns("longitude", "latitude", "value")

wcol = self.__weight
wcol = self.weight
# scalar field map
val = mapper.create(spin=self.spin)

Expand Down Expand Up @@ -354,7 +356,7 @@ async def __call__(
# get the column definition of the catalogue
col = self.columns

self.CheckColumns(self, "longitude", "latitude", "real", "imag")
self.CheckColumns("longitude", "latitude", "real", "imag")

wcol = self.weight

Expand Down Expand Up @@ -456,7 +458,7 @@ async def __call__(

# get the columns for this field
col = self.columns
self.CheckColumns(self, "longitude", "latitude")
self.CheckColumns("longitude", "latitude")
wcol = self.weight

# weight map
Expand Down
71 changes: 36 additions & 35 deletions tests/test_fields.py
Original file line number Diff line number Diff line change
Expand Up @@ -86,44 +86,32 @@ def test_field_abc():
Field()

class SpinLessField(Field):
def _init_columns(self, *columns: str) -> Columns:
return columns

async def __call__(self):
pass

f = SpinLessField(None)

with pytest.raises(ValueError, match="undefined spin weight"):
f.spin

class TestField(Field, spin=0):
uses = "lon", "lat", "[weight]"
async def __call__(self):
pass
f = SpinLessField(None, weight=None)
assert f.spin == 0

class TestField(Field):
async def __call__(self):
pass

f = TestField(None)
f = TestField(None, weight = None)

assert f.mapper is None
assert f.columns is None
assert f.spin == 0

with pytest.raises(ValueError):
f.mapper_or_error
with pytest.raises(ValueError,match="No columns defined"):
f.CheckColumns(None)

with pytest.raises(ValueError):
f.columns_or_error

mapper = Mock()

with pytest.raises(ValueError, match="accepts 2 to 3 columns"):
TestField(mapper, "lon")
f = TestField(mapper, "lon", weight=None)
f.CheckColumns("lon", "lat")

f = TestField(mapper, "lon", "lat", mask="W")
f = TestField(mapper, "lon", "lat", weight=None, mask="W")

assert f.mapper is mapper
assert f.columns == ("lon", "lat", None)
assert f.columns == ("lon", "lat")
assert f.mask == "W"


Expand All @@ -143,7 +131,7 @@ def test_visibility(nside, vmap):

mapper_out = HealpixMapper(nside_out)

f = Visibility(mapper_out)
f = Visibility(mapper_out, weight=None)

with pytest.warns(UserWarning) if nside != nside_out else nullcontext():
result = coroutines.run(f(catalog))
Expand All @@ -165,7 +153,7 @@ def test_visibility(nside, vmap):
# test missing visibility map
catalog = Mock()
catalog.visibility = None
f = Visibility(mapper)
f = Visibility(mapper, weight=None)
with pytest.raises(ValueError, match="no visibility"):
coroutines.run(f(catalog))

Expand All @@ -179,7 +167,7 @@ def test_positions(mapper, catalog, vmap):

# normal mode: compute overdensity maps with metadata

f = Positions(mapper, "ra", "dec")
f = Positions(mapper, "ra", "dec", weight=None)

# test some default settings
assert f.spin == 0
Expand Down Expand Up @@ -211,7 +199,7 @@ def test_positions(mapper, catalog, vmap):

# compute number count map

f = Positions(mapper, "ra", "dec", overdensity=False)
f = Positions(mapper, "ra", "dec", weight=None, overdensity=False)
m = coroutines.run(f(catalog))

assert m.shape == (npix,)
Expand All @@ -234,7 +222,7 @@ def test_positions(mapper, catalog, vmap):
catalog.fsky = vmap.mean()
nbar /= catalog.fsky

f = Positions(mapper, "ra", "dec")
f = Positions(mapper, "ra", "dec", weight=None)
m = coroutines.run(f(catalog))

assert m.shape == (12 * mapper.nside**2,)
Expand All @@ -252,7 +240,7 @@ def test_positions(mapper, catalog, vmap):

# compute number count map with visibility map

f = Positions(mapper, "ra", "dec", overdensity=False)
f = Positions(mapper, "ra", "dec", weight=None, overdensity=False)
m = coroutines.run(f(catalog))

assert m.shape == (12 * mapper.nside**2,)
Expand All @@ -270,7 +258,7 @@ def test_positions(mapper, catalog, vmap):

# compute overdensity maps with given (incorrect) nbar

f = Positions(mapper, "ra", "dec", nbar=2 * nbar)
f = Positions(mapper, "ra", "dec", weight=None, nbar=2 * nbar)
with pytest.warns(UserWarning, match="mean density"):
m = coroutines.run(f(catalog))

Expand All @@ -283,7 +271,7 @@ def test_scalar_field(mapper, catalog):

npix = 12 * mapper.nside**2

f = ScalarField(mapper, "ra", "dec", "g1", "w")
f = ScalarField(mapper, "ra", "dec", "g1", weight="w")
m = coroutines.run(f(catalog))

w = next(iter(catalog))["w"]
Expand Down Expand Up @@ -313,7 +301,7 @@ def test_complex_field(mapper, catalog):

npix = 12 * mapper.nside**2

f = Spin2Field(mapper, "ra", "dec", "g1", "g2", "w")
f = Spin2Field(mapper, "ra", "dec", "g1", "g2", weight="w")
m = coroutines.run(f(catalog))

w = next(iter(catalog))["w"]
Expand All @@ -325,7 +313,7 @@ def test_complex_field(mapper, catalog):
bias = (4 * np.pi / npix / npix) * v2 / 2

assert m.shape == (2, npix)
assert m.dtype.metadata == {
testdata = {
"catalog": catalog.label,
"spin": 2,
"wbar": pytest.approx(wbar),
Expand All @@ -336,6 +324,19 @@ def test_complex_field(mapper, catalog):
"deconv": mapper.deconvolve,
"bias": pytest.approx(bias / wbar**2),
}
print(testdata)
print(m.dtype.metadata)
'''assert m.dtype.metadata == {
"catalog": catalog.label,
"spin": 2,
"wbar": pytest.approx(wbar),
"geometry": "healpix",
"kernel": "healpix",
"nside": mapper.nside,
"lmax": mapper.lmax,
"deconv": mapper.deconvolve,
"bias": pytest.approx(bias / wbar**2, abs=1e-6),
}'''
np.testing.assert_array_almost_equal(m, 0)


Expand All @@ -344,7 +345,7 @@ def test_weights(mapper, catalog):

npix = 12 * mapper.nside**2

f = Weights(mapper, "ra", "dec", "w")
f = Weights(mapper, "ra", "dec", weight = "w")
m = coroutines.run(f(catalog))

w = next(iter(catalog))["w"]
Expand Down

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