Source code for astroplan.utils

# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
                        unicode_literals)

# Standard library
import warnings

# Third-party
import numpy as np
from astropy.utils.iers import IERS_Auto
from astropy.time import Time
import astropy.units as u
from astropy.coordinates import EarthLocation

# Package
from .exceptions import OldEarthOrientationDataWarning

__all__ = ["download_IERS_A",
           "time_grid_from_range", "_set_mpl_style_sheet",
           "stride_array"]

IERS_A_WARNING = ("For best precision (on the order of arcseconds), you must "
                  "download an up-to-date IERS Bulletin A table. To do so, run:"
                  "\n\n"
                  ">>> from astroplan import download_IERS_A\n"
                  ">>> download_IERS_A()\n")

# IF IERS table is unavailable we override the time deltas but need a way to
# restore them next time table is available.
BACKUP_Time_get_delta_ut1_utc = Time._get_delta_ut1_utc


def _low_precision_utc_to_ut1(self, jd1, jd2):
    """
    When no IERS Bulletin A is available (no internet connection), use low
    precision time conversion by assuming UT1-UTC=0 always.
    This method mimics `~astropy.coordinates.builtin_frames.utils.get_dut1utc`
    """
    try:
        if self.mjd*u.day not in IERS_Auto.open()['MJD']:
            warnings.warn(IERS_A_WARNING, OldEarthOrientationDataWarning)
        return self.delta_ut1_utc

    except (AttributeError, ValueError):
        warnings.warn(IERS_A_WARNING, OldEarthOrientationDataWarning)
        return np.zeros(self.shape)


[docs]def download_IERS_A(show_progress=True): """ Download and cache the IERS Bulletin A table. If one is already cached, download a new one and overwrite the old. Store table in the astropy cache, and undo the monkey patching caused by earlier failure (if applicable). If one does not exist, monkey patch `~astropy.time.Time._get_delta_ut1_utc` so that `~astropy.time.Time` objects don't raise errors by computing UT1-UTC off the end of the IERS table. Parameters ---------- show_progress : bool `True` shows a progress bar during the download. """ # Let astropy handle all the details. try: IERS_Auto() # Undo monkey patch set up by exception below. if Time._get_delta_ut1_utc != BACKUP_Time_get_delta_ut1_utc: Time._get_delta_ut1_utc = BACKUP_Time_get_delta_ut1_utc return except Exception: warnings.warn(IERS_A_WARNING, OldEarthOrientationDataWarning) Time._get_delta_ut1_utc = _low_precision_utc_to_ut1
[docs]@u.quantity_input(time_resolution=u.hour) def time_grid_from_range(time_range, time_resolution=0.5*u.hour): """ Get linearly-spaced sequence of times. Parameters ---------- time_range : `~astropy.time.Time` (length = 2) Lower and upper bounds on time sequence. time_resolution : `~astropy.units.quantity` (optional) Time-grid spacing Returns ------- times : `~astropy.time.Time` Linearly-spaced sequence of times """ try: start_time, end_time = time_range except ValueError: raise ValueError("time_range should have a length of 2: lower and " "upper bounds on the time sequence.") return Time(np.arange(start_time.jd, end_time.jd, time_resolution.to(u.day).value), format='jd')
def _mock_remote_data(): """ Apply mocks (i.e. monkey-patches) to avoid the need for internet access for certain things. This is currently called in `astroplan/conftest.py` when the tests are run and the `--remote-data` option isn't used. The way this setup works is that for functionality that usually requires internet access, but has mocks in place, it is possible to write the test without adding a `@remote_data` decorator, and `py.test` will do the right thing when running the tests: 1. Access the internet and use the normal code if `--remote-data` is used 2. Not access the internet and use the mock code if `--remote-data` is not used Both of these cases are tested on travis-ci. """ from .target import FixedTarget from astropy.coordinates import EarthLocation if not hasattr(FixedTarget, '_real_from_name'): FixedTarget._real_from_name = FixedTarget.from_name FixedTarget.from_name = FixedTarget._from_name_mock if not hasattr(EarthLocation, '_real_of_site'): EarthLocation._real_of_site = EarthLocation.of_site EarthLocation.of_site = EarthLocation_mock.of_site_mock # otherwise already mocked def _unmock_remote_data(): """ undo _mock_remote_data currently unused """ from .target import FixedTarget if hasattr(FixedTarget, '_real_from_name'): FixedTarget.from_name = FixedTarget._real_from_name del FixedTarget._real_from_name if hasattr(EarthLocation, '_real_of_site'): EarthLocation.of_site = EarthLocation._real_of_site del EarthLocation._real_of_site # otherwise assume it's already correct def _set_mpl_style_sheet(style_sheet): """ Import matplotlib, set the style sheet to ``style_sheet`` using the most backward compatible import pattern. """ import matplotlib matplotlib.rcdefaults() matplotlib.rcParams.update(style_sheet)
[docs]def stride_array(arr, window_width): """ Computes all possible sequential subarrays of arr with length = window_width Parameters ---------- arr : array-like (length = n) Linearly-spaced sequence window_width : int Number of elements in each new sub-array Returns ------- strided_arr : array (shape = (n-window_width, window_width)) Linearly-spaced sequence of times """ as_strided = np.lib.stride_tricks.as_strided new_shape = (len(arr) - window_width + 1, window_width) strided_arr = as_strided(arr, new_shape, (arr.strides[0], arr.strides[0])) return strided_arr
class EarthLocation_mock(EarthLocation): """ Mock the EarthLocation class if no remote data for locations commonly used in the tests. """ @classmethod def of_site_mock(cls, string): subaru = EarthLocation.from_geodetic(-155.4761111111111*u.deg, 19.825555555555564*u.deg, 4139*u.m) lco = EarthLocation.from_geodetic(-70.70166666666665*u.deg, -29.003333333333327*u.deg, 2282*u.m) aao = EarthLocation.from_geodetic(149.06608611111113*u.deg, -31.277038888888896*u.deg, 1164*u.m) vbo = EarthLocation.from_geodetic(78.8266*u.deg, 12.576659999999999*u.deg, 725*u.m) apo = EarthLocation.from_geodetic(-105.82*u.deg, 32.78*u.deg, 2798*u.m) keck = EarthLocation.from_geodetic(-155.47833333333332*u.deg, 19.828333333333326*u.deg, 4160*u.m) kpno = EarthLocation.from_geodetic(-111.6*u.deg, 31.963333333333342*u.deg, 2120*u.m) lapalma = EarthLocation.from_geodetic(-17.879999*u.deg, 28.758333*u.deg, 2327*u.m) observatories = dict(lco=lco, subaru=subaru, aao=aao, vbo=vbo, apo=apo, keck=keck, kpno=kpno, lapalma=lapalma) return observatories[string.lower()] def _open_shelve(shelffn, withclosing=False): """ Opens a shelf file. If ``withclosing`` is True, it will be opened with closing, allowing use like: with _open_shelve('somefile',True) as s: ... This workaround can be removed in favour of using shelve.open() directly once support for Python <3.4 is dropped. """ import shelve import contextlib shelf = shelve.open(shelffn, protocol=2) if withclosing: return contextlib.closing(shelf) else: return shelf