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from unittest import TestCase
import numpy as np
from loompy import AttributeManager
class AttributeManagerTests(TestCase):
def setUp(self) -> None:
self.ds = self.DummyLoomConnection()
def test_get(self) -> None:
m = AttributeManager(self.ds, axis=0)
default = np.array([2., 3, 4, 5, 6, 7, 8])
# should return value for attribute in file
val = m.get("arr", default)
np.testing.assert_array_equal(
val, np.array([1., 2, 3, 4, 5, 6, 7])
)
# should return default for missing attribute
val = m.get("missing", default)
np.testing.assert_array_equal(val, default)
def test_get_raises_on_invalid_default_value(self) -> None:
m = AttributeManager(self.ds, axis=0)
# wrong type
with self.assertRaises(ValueError):
m.get("missing", None)
# wrong size
with self.assertRaises(ValueError):
m.get("missing", np.array([1., 2, 3, 4, 5]))
m = AttributeManager(self.ds, axis=1)
with self.assertRaises(ValueError):
m.get("missing", np.array([1., 2, 3, 4, 5, 6, 7]))
class DummyLoomConnection:
shape = (7, 5)
_file = {
"/row_attrs/": {
"arr": np.array([1., 2, 3, 4, 5, 6, 7])
},
"/col_attrs/": {
"arr": np.array([1., 2, 3, 4, 5])
}
}
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