Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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29 lines
1.1 KiB
29 lines
1.1 KiB
import numpy as np
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from pandas._libs.tslibs import fields
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import pandas._testing as tm
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def test_fields_readonly():
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# https://github.com/vaexio/vaex/issues/357
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# fields functions should't raise when we pass read-only data
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dtindex = np.arange(5, dtype=np.int64) * 10 ** 9 * 3600 * 24 * 32
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dtindex.flags.writeable = False
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result = fields.get_date_name_field(dtindex, "month_name")
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expected = np.array(["January", "February", "March", "April", "May"], dtype=object)
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tm.assert_numpy_array_equal(result, expected)
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result = fields.get_date_field(dtindex, "Y")
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expected = np.array([1970, 1970, 1970, 1970, 1970], dtype=np.int32)
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tm.assert_numpy_array_equal(result, expected)
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result = fields.get_start_end_field(dtindex, "is_month_start", None)
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expected = np.array([True, False, False, False, False], dtype=np.bool_)
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tm.assert_numpy_array_equal(result, expected)
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# treat dtindex as timedeltas for this next one
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result = fields.get_timedelta_field(dtindex, "days")
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expected = np.arange(5, dtype=np.int32) * 32
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tm.assert_numpy_array_equal(result, expected)
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