ai-content-maker/.venv/Lib/site-packages/pandas/tests/tseries/offsets/test_ticks.py

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"""
Tests for offsets.Tick and subclasses
"""
from datetime import (
datetime,
timedelta,
)
from hypothesis import (
assume,
example,
given,
)
import numpy as np
import pytest
from pandas._libs.tslibs.offsets import delta_to_tick
from pandas import (
Timedelta,
Timestamp,
)
import pandas._testing as tm
from pandas._testing._hypothesis import INT_NEG_999_TO_POS_999
from pandas.tests.tseries.offsets.common import assert_offset_equal
from pandas.tseries import offsets
from pandas.tseries.offsets import (
Hour,
Micro,
Milli,
Minute,
Nano,
Second,
)
# ---------------------------------------------------------------------
# Test Helpers
tick_classes = [Hour, Minute, Second, Milli, Micro, Nano]
# ---------------------------------------------------------------------
def test_apply_ticks():
result = offsets.Hour(3)._apply(offsets.Hour(4))
exp = offsets.Hour(7)
assert result == exp
def test_delta_to_tick():
delta = timedelta(3)
tick = delta_to_tick(delta)
assert tick == offsets.Day(3)
td = Timedelta(nanoseconds=5)
tick = delta_to_tick(td)
assert tick == Nano(5)
@pytest.mark.parametrize("cls", tick_classes)
@example(n=2, m=3)
@example(n=800, m=300)
@example(n=1000, m=5)
@given(n=INT_NEG_999_TO_POS_999, m=INT_NEG_999_TO_POS_999)
def test_tick_add_sub(cls, n, m):
# For all Tick subclasses and all integers n, m, we should have
# tick(n) + tick(m) == tick(n+m)
# tick(n) - tick(m) == tick(n-m)
left = cls(n)
right = cls(m)
expected = cls(n + m)
assert left + right == expected
assert left._apply(right) == expected
expected = cls(n - m)
assert left - right == expected
@pytest.mark.arm_slow
@pytest.mark.parametrize("cls", tick_classes)
@example(n=2, m=3)
@given(n=INT_NEG_999_TO_POS_999, m=INT_NEG_999_TO_POS_999)
def test_tick_equality(cls, n, m):
assume(m != n)
# tick == tock iff tick.n == tock.n
left = cls(n)
right = cls(m)
assert left != right
assert not (left == right)
right = cls(n)
assert left == right
assert not (left != right)
if n != 0:
assert cls(n) != cls(-n)
# ---------------------------------------------------------------------
def test_Hour():
assert_offset_equal(Hour(), datetime(2010, 1, 1), datetime(2010, 1, 1, 1))
assert_offset_equal(Hour(-1), datetime(2010, 1, 1, 1), datetime(2010, 1, 1))
assert_offset_equal(2 * Hour(), datetime(2010, 1, 1), datetime(2010, 1, 1, 2))
assert_offset_equal(-1 * Hour(), datetime(2010, 1, 1, 1), datetime(2010, 1, 1))
assert Hour(3) + Hour(2) == Hour(5)
assert Hour(3) - Hour(2) == Hour()
assert Hour(4) != Hour(1)
def test_Minute():
assert_offset_equal(Minute(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 1))
assert_offset_equal(Minute(-1), datetime(2010, 1, 1, 0, 1), datetime(2010, 1, 1))
assert_offset_equal(2 * Minute(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 2))
assert_offset_equal(-1 * Minute(), datetime(2010, 1, 1, 0, 1), datetime(2010, 1, 1))
assert Minute(3) + Minute(2) == Minute(5)
assert Minute(3) - Minute(2) == Minute()
assert Minute(5) != Minute()
def test_Second():
assert_offset_equal(Second(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 1))
assert_offset_equal(Second(-1), datetime(2010, 1, 1, 0, 0, 1), datetime(2010, 1, 1))
assert_offset_equal(
2 * Second(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 2)
)
assert_offset_equal(
-1 * Second(), datetime(2010, 1, 1, 0, 0, 1), datetime(2010, 1, 1)
)
assert Second(3) + Second(2) == Second(5)
assert Second(3) - Second(2) == Second()
def test_Millisecond():
assert_offset_equal(
Milli(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 0, 1000)
)
assert_offset_equal(
Milli(-1), datetime(2010, 1, 1, 0, 0, 0, 1000), datetime(2010, 1, 1)
)
assert_offset_equal(
Milli(2), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 0, 2000)
)
assert_offset_equal(
2 * Milli(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 0, 2000)
)
assert_offset_equal(
-1 * Milli(), datetime(2010, 1, 1, 0, 0, 0, 1000), datetime(2010, 1, 1)
)
assert Milli(3) + Milli(2) == Milli(5)
assert Milli(3) - Milli(2) == Milli()
def test_MillisecondTimestampArithmetic():
assert_offset_equal(
Milli(), Timestamp("2010-01-01"), Timestamp("2010-01-01 00:00:00.001")
)
assert_offset_equal(
Milli(-1), Timestamp("2010-01-01 00:00:00.001"), Timestamp("2010-01-01")
)
def test_Microsecond():
assert_offset_equal(Micro(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 0, 1))
assert_offset_equal(
Micro(-1), datetime(2010, 1, 1, 0, 0, 0, 1), datetime(2010, 1, 1)
)
assert_offset_equal(
2 * Micro(), datetime(2010, 1, 1), datetime(2010, 1, 1, 0, 0, 0, 2)
)
assert_offset_equal(
-1 * Micro(), datetime(2010, 1, 1, 0, 0, 0, 1), datetime(2010, 1, 1)
)
assert Micro(3) + Micro(2) == Micro(5)
assert Micro(3) - Micro(2) == Micro()
def test_NanosecondGeneric():
timestamp = Timestamp(datetime(2010, 1, 1))
assert timestamp.nanosecond == 0
result = timestamp + Nano(10)
assert result.nanosecond == 10
reverse_result = Nano(10) + timestamp
assert reverse_result.nanosecond == 10
def test_Nanosecond():
timestamp = Timestamp(datetime(2010, 1, 1))
assert_offset_equal(Nano(), timestamp, timestamp + np.timedelta64(1, "ns"))
assert_offset_equal(Nano(-1), timestamp + np.timedelta64(1, "ns"), timestamp)
assert_offset_equal(2 * Nano(), timestamp, timestamp + np.timedelta64(2, "ns"))
assert_offset_equal(-1 * Nano(), timestamp + np.timedelta64(1, "ns"), timestamp)
assert Nano(3) + Nano(2) == Nano(5)
assert Nano(3) - Nano(2) == Nano()
# GH9284
assert Nano(1) + Nano(10) == Nano(11)
assert Nano(5) + Micro(1) == Nano(1005)
assert Micro(5) + Nano(1) == Nano(5001)
@pytest.mark.parametrize(
"kls, expected",
[
(Hour, Timedelta(hours=5)),
(Minute, Timedelta(hours=2, minutes=3)),
(Second, Timedelta(hours=2, seconds=3)),
(Milli, Timedelta(hours=2, milliseconds=3)),
(Micro, Timedelta(hours=2, microseconds=3)),
(Nano, Timedelta(hours=2, nanoseconds=3)),
],
)
def test_tick_addition(kls, expected):
offset = kls(3)
td = Timedelta(hours=2)
for other in [td, td.to_pytimedelta(), td.to_timedelta64()]:
result = offset + other
assert isinstance(result, Timedelta)
assert result == expected
result = other + offset
assert isinstance(result, Timedelta)
assert result == expected
@pytest.mark.parametrize("cls", tick_classes)
def test_tick_division(cls):
off = cls(10)
assert off / cls(5) == 2
assert off / 2 == cls(5)
assert off / 2.0 == cls(5)
assert off / off.delta == 1
assert off / off.delta.to_timedelta64() == 1
assert off / Nano(1) == off.delta / Nano(1).delta
if cls is not Nano:
# A case where we end up with a smaller class
result = off / 1000
assert isinstance(result, offsets.Tick)
assert not isinstance(result, cls)
assert result.delta == off.delta / 1000
if cls._nanos_inc < Timedelta(seconds=1).value:
# Case where we end up with a bigger class
result = off / 0.001
assert isinstance(result, offsets.Tick)
assert not isinstance(result, cls)
assert result.delta == off.delta / 0.001
def test_tick_mul_float():
off = Micro(2)
# Case where we retain type
result = off * 1.5
expected = Micro(3)
assert result == expected
assert isinstance(result, Micro)
# Case where we bump up to the next type
result = off * 1.25
expected = Nano(2500)
assert result == expected
assert isinstance(result, Nano)
@pytest.mark.parametrize("cls", tick_classes)
def test_tick_rdiv(cls):
off = cls(10)
delta = off.delta
td64 = delta.to_timedelta64()
instance__type = ".".join([cls.__module__, cls.__name__])
msg = (
"unsupported operand type\\(s\\) for \\/: 'int'|'float' and "
f"'{instance__type}'"
)
with pytest.raises(TypeError, match=msg):
2 / off
with pytest.raises(TypeError, match=msg):
2.0 / off
assert (td64 * 2.5) / off == 2.5
if cls is not Nano:
# skip pytimedelta for Nano since it gets dropped
assert (delta.to_pytimedelta() * 2) / off == 2
result = np.array([2 * td64, td64]) / off
expected = np.array([2.0, 1.0])
tm.assert_numpy_array_equal(result, expected)
@pytest.mark.parametrize("cls1", tick_classes)
@pytest.mark.parametrize("cls2", tick_classes)
def test_tick_zero(cls1, cls2):
assert cls1(0) == cls2(0)
assert cls1(0) + cls2(0) == cls1(0)
if cls1 is not Nano:
assert cls1(2) + cls2(0) == cls1(2)
if cls1 is Nano:
assert cls1(2) + Nano(0) == cls1(2)
@pytest.mark.parametrize("cls", tick_classes)
def test_tick_equalities(cls):
assert cls() == cls(1)
@pytest.mark.parametrize("cls", tick_classes)
def test_tick_offset(cls):
assert not cls().is_anchored()
@pytest.mark.parametrize("cls", tick_classes)
def test_compare_ticks(cls):
three = cls(3)
four = cls(4)
assert three < cls(4)
assert cls(3) < four
assert four > cls(3)
assert cls(4) > three
assert cls(3) == cls(3)
assert cls(3) != cls(4)
@pytest.mark.parametrize("cls", tick_classes)
def test_compare_ticks_to_strs(cls):
# GH#23524
off = cls(19)
# These tests should work with any strings, but we particularly are
# interested in "infer" as that comparison is convenient to make in
# Datetime/Timedelta Array/Index constructors
assert not off == "infer"
assert not "foo" == off
instance_type = ".".join([cls.__module__, cls.__name__])
msg = (
"'<'|'<='|'>'|'>=' not supported between instances of "
f"'str' and '{instance_type}'|'{instance_type}' and 'str'"
)
for left, right in [("infer", off), (off, "infer")]:
with pytest.raises(TypeError, match=msg):
left < right
with pytest.raises(TypeError, match=msg):
left <= right
with pytest.raises(TypeError, match=msg):
left > right
with pytest.raises(TypeError, match=msg):
left >= right
@pytest.mark.parametrize("cls", tick_classes)
def test_compare_ticks_to_timedeltalike(cls):
off = cls(19)
td = off.delta
others = [td, td.to_timedelta64()]
if cls is not Nano:
others.append(td.to_pytimedelta())
for other in others:
assert off == other
assert not off != other
assert not off < other
assert not off > other
assert off <= other
assert off >= other