71 lines
1.8 KiB
Python
71 lines
1.8 KiB
Python
from qubed import Qube
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q = Qube.from_dict(
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{
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"class=od": {
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"expver=0001": {"param=1": {}, "param=2": {}},
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"expver=0002": {"param=1": {}, "param=2": {}},
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},
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"class=rd": {"param=1": {}, "param=2": {}, "param=3": {}},
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}
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)
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def test_consumption():
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assert q.select({"expver": "0001"}, consume=True) == Qube.from_dict(
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{"class=od": {"expver=0001": {"param=1": {}, "param=2": {}}}}
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)
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def test_consumption_off():
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expected = Qube.from_dict(
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{
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"class=od": {"expver=0001": {"param=1": {}, "param=2": {}}},
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"class=rd": {"param=1": {}, "param=2": {}, "param=3": {}},
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}
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)
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assert q.select({"expver": "0001"}, consume=False) == expected
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def test_require_match():
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expected = Qube.from_dict(
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{
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"class=od": {"expver=0001": {"param=1": {}, "param=2": {}}},
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}
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)
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assert q.select({"expver": "0001"}, require_match=True) == expected
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def test_function_input_to_select():
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q = Qube.from_tree("""
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root, frequency=6:00:00
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├── levtype=pl, param=t, levelist=850, threshold=-2/-4/-8/2/4/8
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└── levtype=sfc
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├── param=10u/10v, threshold=10/15
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├── param=2t, threshold=273.15
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└── param=tp, threshold=0.1/1/10/100/20/25/5/50
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""").convert_dtypes(
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{
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"threshold": float,
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}
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)
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r = q.select(
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{
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"threshold": lambda t: t > 5,
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}
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)
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assert r == Qube.from_tree("""
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root, frequency=6:00:00
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├── levtype=pl, param=t, levelist=850, threshold=8
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└── levtype=sfc
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├── param=10u/10v, threshold=10/15
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├── param=2t, threshold=273.15
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└── param=tp, threshold=10/100/20/25/50
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""").convert_dtypes(
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{
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"threshold": float,
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}
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)
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