import re import numpy as np import pytest from pandas._libs.tslibs.timedeltas import ( array_to_timedelta64, delta_to_nanoseconds, ints_to_pytimedelta, ) from pandas import ( Timedelta, offsets, ) import pandas._testing as tm @pytest.mark.parametrize( "obj,expected", [ (np.timedelta64(14, "D"), 14 * 24 * 3600 * 1e9), (Timedelta(minutes=-7), -7 * 60 * 1e9), (Timedelta(minutes=-7).to_pytimedelta(), -7 * 60 * 1e9), (Timedelta(seconds=1234e-9), 1234), # GH43764, GH40946 ( Timedelta(seconds=1e-9, milliseconds=1e-5, microseconds=1e-1), 111, ), # GH43764 ( Timedelta(days=1, seconds=1e-9, milliseconds=1e-5, microseconds=1e-1), 24 * 3600e9 + 111, ), # GH43764 (offsets.Nano(125), 125), ], ) def test_delta_to_nanoseconds(obj, expected): result = delta_to_nanoseconds(obj) assert result == expected def test_delta_to_nanoseconds_error(): obj = np.array([123456789], dtype="m8[ns]") with pytest.raises(TypeError, match=""): delta_to_nanoseconds(obj) with pytest.raises(TypeError, match="float"): delta_to_nanoseconds(1.5) with pytest.raises(TypeError, match="int"): delta_to_nanoseconds(1) with pytest.raises(TypeError, match="int"): delta_to_nanoseconds(np.int64(2)) with pytest.raises(TypeError, match="int"): delta_to_nanoseconds(np.int32(3)) def test_delta_to_nanoseconds_td64_MY_raises(): msg = ( "delta_to_nanoseconds does not support Y or M units, " "as their duration in nanoseconds is ambiguous" ) td = np.timedelta64(1234, "Y") with pytest.raises(ValueError, match=msg): delta_to_nanoseconds(td) td = np.timedelta64(1234, "M") with pytest.raises(ValueError, match=msg): delta_to_nanoseconds(td) def test_huge_nanoseconds_overflow(): # GH 32402 assert delta_to_nanoseconds(Timedelta(1e10)) == 1e10 assert delta_to_nanoseconds(Timedelta(nanoseconds=1e10)) == 1e10 @pytest.mark.parametrize( "kwargs", [{"Seconds": 1}, {"seconds": 1, "Nanoseconds": 1}, {"Foo": 2}] ) def test_kwarg_assertion(kwargs): err_message = ( "cannot construct a Timedelta from the passed arguments, " "allowed keywords are " "[weeks, days, hours, minutes, seconds, " "milliseconds, microseconds, nanoseconds]" ) with pytest.raises(ValueError, match=re.escape(err_message)): Timedelta(**kwargs) class TestArrayToTimedelta64: def test_array_to_timedelta64_string_with_unit_2d_raises(self): # check the 'unit is not None and errors != "coerce"' path # in array_to_timedelta64 raises correctly with 2D values values = np.array([["1", 2], [3, "4"]], dtype=object) with pytest.raises(ValueError, match="unit must not be specified"): array_to_timedelta64(values, unit="s") def test_array_to_timedelta64_non_object_raises(self): # check we raise, not segfault values = np.arange(5) msg = "'values' must have object dtype" with pytest.raises(TypeError, match=msg): array_to_timedelta64(values) @pytest.mark.parametrize("unit", ["s", "ms", "us"]) def test_ints_to_pytimedelta(unit): # tests for non-nanosecond cases arr = np.arange(6, dtype=np.int64).view(f"m8[{unit}]") res = ints_to_pytimedelta(arr, box=False) # For non-nanosecond, .astype(object) gives pytimedelta objects # instead of integers expected = arr.astype(object) tm.assert_numpy_array_equal(res, expected) res = ints_to_pytimedelta(arr, box=True) expected = np.array([Timedelta(x) for x in arr], dtype=object) tm.assert_numpy_array_equal(res, expected) @pytest.mark.parametrize("unit", ["Y", "M", "ps", "fs", "as"]) def test_ints_to_pytimedelta_unsupported(unit): arr = np.arange(6, dtype=np.int64).view(f"m8[{unit}]") with pytest.raises(NotImplementedError, match=r"\d{1,2}"): ints_to_pytimedelta(arr, box=False) msg = "Only resolutions 's', 'ms', 'us', 'ns' are supported" with pytest.raises(NotImplementedError, match=msg): ints_to_pytimedelta(arr, box=True)