import functools

import numpy as np

from ...tests.helper import pytest
from .. import Time, TimeDelta

allclose_jd = functools.partial(np.allclose, rtol=2. ** -52, atol=0)
allclose_jd2 = functools.partial(np.allclose, rtol=2. ** -52,
                                 atol=2. ** -52)  # 20 ps atol
allclose_sec = functools.partial(np.allclose, rtol=2. ** -52,
                                 atol=2. ** -52 * 24 * 3600)  # 20 ps atol


dt_tiny = TimeDelta(2. ** -52, format='jd')


def test_addition():
    """Check that an addition at the limit of precision (2^-52) is seen"""
    t = Time(2455555., 0.5, format='jd', scale='utc')

    t_dt = t + dt_tiny
    assert t_dt.jd1 == t.jd1 and t_dt.jd2 != t.jd2

    # Check that the addition is exactly reversed by the corresponding subtraction
    t2 = t_dt - dt_tiny
    assert t2.jd1 == t.jd1 and t2.jd2 == t.jd2


def test_mult_div():
    """Test precision with multiply and divide"""
    dt_small = 6 * dt_tiny
    # pick a number that will leave remainder if divided by 6.
    dt_big = TimeDelta(20000., format='jd')
    dt_big_small_by_6 = (dt_big + dt_small) / 6.
    dt_frac = dt_big_small_by_6 - TimeDelta(3333., format='jd')
    assert allclose_jd2(dt_frac.jd2, 0.33333333333333354)


def test_init_variations():
    """Check that 3 ways of specifying a time + small offset are equivalent"""
    dt_tiny_sec = dt_tiny.jd2 * 86400.
    t1 = Time(1e11, format='cxcsec') + dt_tiny
    t2 = Time(1e11, dt_tiny_sec, format='cxcsec')
    t3 = Time(dt_tiny_sec, 1e11, format='cxcsec')
    assert t1.jd1 == t2.jd1
    assert t1.jd2 == t3.jd2
    assert t1.jd1 == t2.jd1
    assert t1.jd2 == t3.jd2


def test_precision_exceeds_64bit():
    """
    Check that Time object really holds more precision than float64 by looking at the
    (naively) summed 64-bit result and asserting equality at the bit level.
    """
    t1 = Time(1.23456789e11, format='cxcsec')
    t2 = t1 + dt_tiny
    assert t1.jd == t2.jd


def test_through_scale_change():
    """Check that precision holds through scale change (cxcsec is TT)"""
    t0 = Time(1.0, format='cxcsec')
    t1 = Time(1.23456789e11, format='cxcsec')
    dt_tt = t1 - t0
    dt_tai = t1.tai - t0.tai
    assert allclose_jd(dt_tt.jd1, dt_tai.jd1)
    assert allclose_jd2(dt_tt.jd2, dt_tai.jd2)


def test_iso_init():
    """Check when initializing from ISO date"""
    t1 = Time('2000:001:00:00:00.00000001', scale='tai')
    t2 = Time('3000:001:13:00:00.00000002', scale='tai')
    dt = t2 - t1
    assert allclose_jd2(dt.jd2, 13. / 24. + 1e-8 / 86400. - 1.0)


def test_jd1_is_mult_of_half_or_one():
    """
    Check that jd1 is a multiple of 0.5 (note the difference from when Time is created
    with a format like 'jd' or 'cxcsec', where jd1 is a multiple of 1.0).
    """
    t1 = Time('2000:001:00:00:00.00000001', scale='tai')
    assert np.round(t1.jd1 * 2) == t1.jd1 * 2
    t1 = Time(1.23456789, 12345678.90123456, format='jd', scale='tai')
    assert np.round(t1.jd1) == t1.jd1


@pytest.mark.xfail
def test_precision_neg():
    """
    Check precision when jd1 is negative.  Currently fails because ERFA routines use a
    test like jd1 > jd2 to decide which component to update.  Should be
    abs(jd1) > abs(jd2).
    """
    t1 = Time(-100000.123456, format='jd', scale='tt')
    assert np.round(t1.jd1) == t1.jd1
    t1_tai = t1.tai
    assert np.round(t1_tai.jd1) == t1_tai.jd1


def test_precision_epoch():
    """
    Check that input via epoch also has full precision, i.e., against
    regression on https://github.com/astropy/astropy/pull/366
    """
    t_utc = Time(range(1980, 2001), format='jyear', scale='utc')
    t_tai = Time(range(1980, 2001), format='jyear', scale='tai')
    dt = t_utc - t_tai
    assert allclose_sec(dt.sec, np.round(dt.sec))