Nutze Skyfield fuer praezisere Daemmerungsberechnung

2026-07-13 19:35:39 +02:00
parent dc5292735f
commit 97357a88e0
1092 changed files with 370248 additions and 61 deletions
@@ -0,0 +1,32 @@
+from numpy import array
+from skyfield.data import iers
+from skyfield.timelib import Timescale
+
+def test_build_timescale_arrays():
+    mjd = array([42046.00, 42047.00, 42048.00, 42049.00])
+    dut1 = array([-0.2942581, -0.2971424, 0.6999438, 0.6970539])
+    daily_tt, daily_delta_t, leap_dates, leap_offsets = (
+        iers.build_timescale_arrays(mjd, dut1))
+
+    assert list(daily_tt) == [2442046.5005113888, 2442047.5005113888,
+                              2442048.500522963, 2442049.500522963]
+    assert list(daily_delta_t) == [44.4782581, 44.4811424,
+                                   44.4840562, 44.4869461]
+    assert list(leap_dates) == [2441499.5, 2441683.5, 2442048.5]
+    assert list(leap_offsets) == [11, 12, 13]
+
+    ts = Timescale((daily_tt, daily_delta_t), leap_dates, leap_offsets)
+    t = ts.tai(1973, 1, 1, 0, 0, [11, 12])
+    assert t.utc.T.tolist() == [
+        [1972, 12, 31, 23, 59, 60],
+        [1973, 1, 1, 0, 0, 0],
+    ]
+
+def test_build_timescale_arrays_when_series_already_has_early_leap_seconds():
+    mjd = array([41497.0, 41498.0, 41499.0, 41500.0])
+    dut1 = array([-0.6324066, -0.6349935, 0.3621956, 0.3592006])
+    daily_tt, daily_delta_t, leap_dates, leap_offsets = (
+        iers.build_timescale_arrays(mjd, dut1))
+
+    assert list(leap_dates) == [2441499.5]
+    assert list(leap_offsets) == [11.0]