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