A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
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InfoLeaseExtract/venv/Lib/site-packages/pandas/tests/tslibs/test_timedeltas.py

65 lines
1.7 KiB

import re
import numpy as np
import pytest
from pandas._libs.tslibs.timedeltas import delta_to_nanoseconds
from pandas import (
Timedelta,
offsets,
)
@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),
(1, 1),
(np.int64(2), 2),
(np.int32(3), 3),
],
)
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="<class 'numpy.ndarray'>"):
delta_to_nanoseconds(obj)
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)