def sph_answer(ds, ds_str_repr, ds_nparticles, field, weight, ds_obj, axis):
# Make sure we're dealing with the right dataset
assert str(ds) == ds_str_repr
# Set up keys of test names
hex_digests = {}
dd = ds.all_data()
assert dd["particle_position"].shape == (ds_nparticles, 3)
tot = sum(dd[ptype, "particle_position"].shape[0]
for ptype in ds.particle_types if ptype != "all")
# Check
assert tot == ds_nparticles
dobj = create_obj(ds, ds_obj)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
assert s1 == s2
if field[0] in ds.particle_types:
particle_type = True
else:
particle_type = False
if not particle_type:
ppv_hd = pixelized_projection_values(ds, axis, field, weight, ds_obj)
hex_digests["pixelized_projection_values"] = ppv_hd
fv_hd = field_values(ds, field, ds_obj, particle_type=particle_type)
hex_digests["field_values"] = fv_hd
return hex_digests
def test_pkdgrav():
cosmology_parameters = dict(current_redshift=0.0,
omega_lambda=0.728,
omega_matter=0.272,
hubble_constant=0.702)
kwargs = dict(field_dtypes={"Coordinates": "d"},
cosmology_parameters=cosmology_parameters,
unit_base={'length': (60.0, "Mpccm/h")},
n_ref=64)
ds = data_dir_load(pkdgrav, TipsyDataset, (), kwargs)
assert_equal(str(ds), "halo1e11_run1.00400")
dso = [None, ("sphere", ("c", (0.3, 'unitary')))]
dd = ds.all_data()
assert_equal(dd["Coordinates"].shape, (26847360, 3))
tot = sum(dd[ptype, "Coordinates"].shape[0] for ptype in ds.particle_types
if ptype != "all")
assert_equal(tot, 26847360)
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None]:
yield PixelizedProjectionValuesTest(
ds, axis, field, weight_field, dobj_name)
yield FieldValuesTest(ds, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
assert_equal(s1, s2)
def pixelized_projection_values(ds,
axis,
field,
weight_field=None,
dobj_type=None):
if dobj_type is not None:
obj = create_obj(ds, dobj_type)
else:
obj = None
proj = ds.proj(field, axis, weight_field=weight_field, data_source=obj)
frb = proj.to_frb((1.0, "unitary"), 256)
frb[field]
if weight_field is not None:
frb[weight_field]
d = frb.data
for f in proj.field_data:
# Sometimes f will be a tuple.
d[f"{f}_sum"] = proj.field_data[f].sum(dtype="float64")
# This is to try and remove python-specific anchors in the yaml
# answer file. Also, using __repr__() results in weird strings
# of strings that make comparison fail even though the data is
# the same
result = None
for k, v in d.items():
k = k.__repr__().encode("utf8")
if result is None:
result = hashlib.md5(k + v.tobytes())
else:
result.update(k + v.tobytes())
return result.hexdigest()
def test_gasoline():
cosmology_parameters = dict(current_redshift=0.0,
omega_lambda=0.728,
omega_matter=0.272,
hubble_constant=0.702)
kwargs = dict(cosmology_parameters=cosmology_parameters,
unit_base={'length': (1.0 / 60.0, "Mpccm/h")},
n_ref=64)
ds = data_dir_load(gasoline, TipsyDataset, (), kwargs)
yield assert_equal, str(ds), "agora_1e11.00400"
dso = [None, ("sphere", ("c", (0.3, 'unitary')))]
dd = ds.all_data()
yield assert_equal, dd["Coordinates"].shape, (10550576, 3)
tot = sum(dd[ptype, "Coordinates"].shape[0] for ptype in ds.particle_types
if ptype != "all")
yield assert_equal, tot, 10550576
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None]:
yield PixelizedProjectionValuesTest(
ds, axis, field, weight_field, dobj_name)
yield FieldValuesTest(ds, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def test_gasoline():
cosmology_parameters = dict(current_redshift = 0.0,
omega_lambda = 0.728,
omega_matter = 0.272,
hubble_constant = 0.702)
kwargs = dict(cosmology_parameters = cosmology_parameters,
unit_base = {'length': (1.0/60.0, "Mpccm/h")},
n_ref = 64)
ds = data_dir_load(gasoline, TipsyDataset, (), kwargs)
yield assert_equal, str(ds), "agora_1e11.00400"
dso = [ None, ("sphere", ("c", (0.3, 'unitary')))]
dd = ds.all_data()
yield assert_equal, dd["Coordinates"].shape, (10550576, 3)
tot = sum(dd[ptype,"Coordinates"].shape[0]
for ptype in ds.particle_types if ptype != "all")
yield assert_equal, tot, 10550576
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None]:
yield PixelizedProjectionValuesTest(
ds, axis, field, weight_field,
dobj_name)
yield FieldValuesTest(ds, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def test_particle_fields():
ds = data_dir_load(ep_cosmo)
dso = [None, ("sphere", ("max", (0.1, "unitary")))]
for dobj_name in dso:
for field in _pfields:
yield FieldValuesTest(ep_cosmo,
field,
dobj_name,
particle_type=True)
dobj = create_obj(ds, dobj_name)
s1 = dobj[("index", "ones")].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
assert_equal(s1, s2)
def test_hello_world():
ds = data_dir_load(hello_world)
dso = [None, ("sphere", ("max", (0.25, "unitary")))]
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, ("gas", "density")]:
yield PixelizedProjectionValuesTest(
hello_world, axis, field, weight_field, dobj_name)
yield FieldValuesTest(hello_world, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj[("index", "ones")].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
assert_equal(s1, s2)
def field_values(ds, field, obj_type=None, particle_type=False):
# If needed build an instance of the dataset type
obj = create_obj(ds, obj_type)
determined_field = obj._determine_fields(field)[0]
# Get the proper weight field depending on if we're looking at
# particles or not
if particle_type:
weight_field = (determined_field[0], "particle_ones")
else:
weight_field = ("index", "ones")
# Get the average, min, and max
avg = obj.quantities.weighted_average_quantity(determined_field,
weight=weight_field)
minimum, maximum = obj.quantities.extrema(field)
# Return as a hashable bytestring
return np.array([avg, minimum, maximum])
def test_output_00080():
ds = data_dir_load(output_00080)
assert_equal(str(ds), "info_00080")
dso = [None, ("sphere", ("max", (0.1, 'unitary')))]
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
output_00080, axis, field, weight_field, dobj_name)
yield FieldValuesTest(output_00080, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
assert_equal(s1, s2)
assert_equal(ds.particle_type_counts, {'io': 1090895})
def test_sizmbhloz():
ds = data_dir_load(sizmbhloz)
ds.max_range = 1024 * 1024
yield assert_equal, str(ds), "sizmbhloz-clref04SNth-rs9_a0.9011.art"
dso = [None, ("sphere", ("max", (0.1, 'unitary')))]
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
sizmbhloz, axis, field, weight_field, dobj_name)
yield FieldValuesTest(sizmbhloz, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def test_output_00080():
ds = data_dir_load(output_00080)
yield assert_equal, str(ds), "info_00080"
dso = [ None, ("sphere", ("max", (0.1, 'unitary')))]
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
output_00080, axis, field, weight_field,
dobj_name)
yield FieldValuesTest(output_00080, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def test_sizmbhloz():
ds = data_dir_load(sizmbhloz)
ds.max_range = 1024 * 1024
assert_equal(str(ds), "sizmbhloz-clref04SNth-rs9_a0.9011.art")
dso = [None, ("sphere", ("max", (0.1, "unitary")))]
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
ds, axis, field, weight_field, dobj_name)
yield FieldValuesTest(ds, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
assert_equal(s1, s2)
assert_equal(ds.particle_type_counts, {"N-BODY": 100000, "STAR": 110650})
def test_sizmbhloz():
ds = data_dir_load(sizmbhloz)
ds.max_range = 1024*1024
yield assert_equal, str(ds), "sizmbhloz-clref04SNth-rs9_a0.9011.art"
dso = [ None, ("sphere", ("max", (0.1, 'unitary')))]
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
sizmbhloz, axis, field, weight_field,
dobj_name)
yield FieldValuesTest(sizmbhloz, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def test_snapshot_033():
ds = data_dir_load(os33)
yield assert_equal, str(ds), "snap_033"
dso = [None, ("sphere", ("c", (0.1, 'unitary')))]
dd = ds.all_data()
yield assert_equal, dd["particle_position"].shape[0], 2 * (128 * 128 * 128)
yield assert_equal, dd["particle_position"].shape[1], 3
tot = sum(dd[ptype, "particle_position"].shape[0]
for ptype in ds.particle_types if ptype != "all")
yield assert_equal, tot, (2 * 128 * 128 * 128)
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
os33, axis, field, weight_field, dobj_name)
yield FieldValuesTest(os33, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def test_snapshot_033():
ds = data_dir_load(os33)
yield assert_equal, str(ds), "snap_033"
dso = [ None, ("sphere", ("c", (0.1, 'unitary')))]
dd = ds.all_data()
yield assert_equal, dd["particle_position"].shape[0], 2*(128*128*128)
yield assert_equal, dd["particle_position"].shape[1], 3
tot = sum(dd[ptype,"particle_position"].shape[0]
for ptype in ds.particle_types if ptype != "all")
yield assert_equal, tot, (2*128*128*128)
for dobj_name in dso:
for field in _fields:
for axis in [0, 1, 2]:
for weight_field in [None, "density"]:
yield PixelizedProjectionValuesTest(
os33, axis, field, weight_field,
dobj_name)
yield FieldValuesTest(os33, field, dobj_name)
dobj = create_obj(ds, dobj_name)
s1 = dobj["ones"].sum()
s2 = sum(mask.sum() for block, mask in dobj.blocks)
yield assert_equal, s1, s2
def projection_values(ds, axis, field, weight_field, dobj_type):
if dobj_type is not None:
dobj = create_obj(ds, dobj_type)
else:
dobj = None
if ds.domain_dimensions[axis] == 1:
# This originally returned None, but None can't be converted
# to a bytes array (for hashing), so use -1 as a string,
# since ints can't be converted to bytes either
return bytes(str(-1).encode("utf-8"))
proj = ds.proj(field, axis, weight_field=weight_field, data_source=dobj)
# This is to try and remove python-specific anchors in the yaml
# answer file. Also, using __repr__() results in weird strings
# of strings that make comparison fail even though the data is
# the same
result = None
for k, v in proj.field_data.items():
k = k.__repr__().encode("utf8")
if result is None:
result = hashlib.md5(k + v.tobytes())
else:
result.update(k + v.tobytes())
return result.hexdigest()
