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90 lines
2.3 KiB
90 lines
2.3 KiB
import pytest
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from pandas._libs.tslibs import to_offset
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from pandas._libs.tslibs.period import (
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period_asfreq,
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period_ordinal,
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)
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def get_freq_code(freqstr: str) -> int:
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off = to_offset(freqstr)
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code = off._period_dtype_code
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return code
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@pytest.mark.parametrize(
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"freq1,freq2,expected",
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[
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("D", "H", 24),
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("D", "T", 1440),
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("D", "S", 86400),
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("D", "L", 86400000),
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("D", "U", 86400000000),
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("D", "N", 86400000000000),
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("H", "T", 60),
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("H", "S", 3600),
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("H", "L", 3600000),
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("H", "U", 3600000000),
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("H", "N", 3600000000000),
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("T", "S", 60),
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("T", "L", 60000),
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("T", "U", 60000000),
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("T", "N", 60000000000),
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("S", "L", 1000),
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("S", "U", 1000000),
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("S", "N", 1000000000),
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("L", "U", 1000),
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("L", "N", 1000000),
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("U", "N", 1000),
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],
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)
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def test_intra_day_conversion_factors(freq1, freq2, expected):
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assert (
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period_asfreq(1, get_freq_code(freq1), get_freq_code(freq2), False) == expected
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)
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@pytest.mark.parametrize(
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"freq,expected", [("A", 0), ("M", 0), ("W", 1), ("D", 0), ("B", 0)]
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)
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def test_period_ordinal_start_values(freq, expected):
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# information for Jan. 1, 1970.
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assert period_ordinal(1970, 1, 1, 0, 0, 0, 0, 0, get_freq_code(freq)) == expected
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@pytest.mark.parametrize(
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"dt,expected",
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[
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((1970, 1, 4, 0, 0, 0, 0, 0), 1),
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((1970, 1, 5, 0, 0, 0, 0, 0), 2),
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((2013, 10, 6, 0, 0, 0, 0, 0), 2284),
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((2013, 10, 7, 0, 0, 0, 0, 0), 2285),
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],
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)
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def test_period_ordinal_week(dt, expected):
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args = dt + (get_freq_code("W"),)
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assert period_ordinal(*args) == expected
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@pytest.mark.parametrize(
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"day,expected",
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[
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# Thursday (Oct. 3, 2013).
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(3, 11415),
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# Friday (Oct. 4, 2013).
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(4, 11416),
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# Saturday (Oct. 5, 2013).
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(5, 11417),
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# Sunday (Oct. 6, 2013).
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(6, 11417),
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# Monday (Oct. 7, 2013).
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(7, 11417),
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# Tuesday (Oct. 8, 2013).
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(8, 11418),
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],
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)
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def test_period_ordinal_business_day(day, expected):
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# 5000 is PeriodDtypeCode for BusinessDay
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args = (2013, 10, day, 0, 0, 0, 0, 0, 5000)
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assert period_ordinal(*args) == expected
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