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import numpy as np
import asdf
def test_control_array_storage_in_to_yaml_tree_methods(tmp_path):
"""
controlling array storage in to_yaml_tree methods
https://github.com/asdf-format/asdf/issues/1013
"""
class FooType:
def __init__(self, data):
self.data = data
class FooConverter:
tags = ["asdf://somewhere.org/tag/foo-1.0.0"]
types = [FooType]
def to_yaml_tree(self, obj, tag, ctx):
if obj.data.ndim < 2:
ctx._blocks._set_array_storage(obj.data, "inline")
return {"data": obj.data}
def from_yaml_tree(self, obj, tag, ctx):
return FooType(obj["data"])
class FooExtension:
converters = [FooConverter()]
tags = ["asdf://somewhere.org/tag/foo-1.0.0"]
extension_uri = "asdf://somewhere.org/extensions/foo-1.0.0"
with asdf.config_context() as cfg:
cfg.add_extension(FooExtension())
fn = tmp_path / "test.asdf"
for shape in [3, (3, 3)]:
arr = np.zeros(shape)
n_blocks = 0 if arr.ndim == 1 else 1
af = asdf.AsdfFile({"foo": FooType(arr)})
assert af.get_array_storage(arr) == "internal"
af.write_to(fn)
# make sure write_to doesn't change the settings outside of the
# writing context
assert af.get_array_storage(arr) == "internal"
with asdf.open(fn) as af:
np.testing.assert_array_equal(af["foo"].data, arr)
assert len(af._blocks.blocks) == n_blocks
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