# Path: cotede/qctests/location_at_sea.py
#     OCEANSDB_AVAILABLE = True
#     OCEANSDB_AVAILABLE = False
#         ETOPO = oceansdb.ETOPO()
# def location_at_sea(data, cfg=None):
# def get_bathymetry(lat, lon, resolution="5min"):
#     def __init__(self, data, cfg=None, attrs=None):
#     def set_features(self):
#     def test(self):
# class LocationAtSea(QCCheck):
# 
# Path: tests/data.py
# class DummyData(object):
#     def __init__(self):
#         self.attrs = {
#                 'datetime': datetime(2016,6,4),
#                 'LATITUDE': 15, 'LONGITUDE': -38}
#         self.data = {
#                 'PRES': ma.fix_invalid(
#                     [2, 6, 10, 21, 44, 79, 100, 150,
#                         200, 400, 410, 650, 1000, 2000, 5000]),
#                 'TEMP': ma.fix_invalid(
#                     [25.32, 25.34, 25.34, 25.31, 24.99, 23.46, 21.85, 17.95,
#                         15.39, 11.08, 6.93, 7.93, 5.71, 3.58, np.nan]),
#                 'PSAL': ma.fix_invalid(
#                     [36.49, 36.51, 36.52, 36.53, 36.59, 36.76, 36.81, 36.39,
#                         35.98, 35.30, 35.28, 34.93, 34.86, np.nan, np.nan])}
# 
#     def __getitem__(self, key):
#         return self.data[key]
# 
#     def keys(self):
#         return self.data.keys()
# 
#     @property
#     def attributes(self):
#         print('attributes will be removed. Use attrs instead!')
#         return self.attrs


import numpy as np
    import pandas as pd
    import xarray as xr
    import oceansdb
from numpy import ma
from cotede.qctests.location_at_sea import (
    extract_coordinates,
    LocationAtSea,
    location_at_sea,
    get_bathymetry,
)
from ..data import DummyData
       variable? It can't be done here, but should be done once the tests
       are combined.
    """
    if not OCEANSDB_AVAILABLE:
        return

    data = DummyData()
    data.data["LATITUDE"] = [15, 12, 8]
    data.data["LONGITUDE"] = [-38, 222, 0]

    y = LocationAtSea(data, cfg={"resolution": "5min"})

    assert hasattr(y, "features")
    assert "bathymetry" in y.features
    assert ma.allclose(y.features["bathymetry"], [5036, 4995, -122])
    assert hasattr(y, "flags")
    assert "location_at_sea" in y.flags
    assert np.allclose(y.flags["location_at_sea"], [1, 1, 3])


def test_LocationAtSea_track_pandas_noattrs():
    """Equivalent to test_LocationAtSea_track but using pandas
    """
    if not PANDAS_AVAILABLE or not OCEANSDB_AVAILABLE:
        return

    data = pd.DataFrame(DummyData().data)
    data["LATITUDE"] = 15
    data["LONGITUDE"] = -38


# Path: cotede/qctests/location_at_sea.py
#     OCEANSDB_AVAILABLE = True
#     OCEANSDB_AVAILABLE = False
#         ETOPO = oceansdb.ETOPO()
# def location_at_sea(data, cfg=None):
# def get_bathymetry(lat, lon, resolution="5min"):
#     def __init__(self, data, cfg=None, attrs=None):
#     def set_features(self):
#     def test(self):
# class LocationAtSea(QCCheck):
# 
# Path: tests/data.py
# class DummyData(object):
#     def __init__(self):
#         self.attrs = {
#                 'datetime': datetime(2016,6,4),
#                 'LATITUDE': 15, 'LONGITUDE': -38}
#         self.data = {
#                 'PRES': ma.fix_invalid(
#                     [2, 6, 10, 21, 44, 79, 100, 150,
#                         200, 400, 410, 650, 1000, 2000, 5000]),
#                 'TEMP': ma.fix_invalid(
#                     [25.32, 25.34, 25.34, 25.31, 24.99, 23.46, 21.85, 17.95,
#                         15.39, 11.08, 6.93, 7.93, 5.71, 3.58, np.nan]),
#                 'PSAL': ma.fix_invalid(
#                     [36.49, 36.51, 36.52, 36.53, 36.59, 36.76, 36.81, 36.39,
#                         35.98, 35.30, 35.28, 34.93, 34.86, np.nan, np.nan])}
# 
#     def __getitem__(self, key):
#         return self.data[key]
# 
#     def keys(self):
#         return self.data.keys()
# 
#     @property
#     def attributes(self):
#         print('attributes will be removed. Use attrs instead!')
#         return self.attrs


# Path: tests/qctests/test_qc_location_at_sea.py
import numpy as np
    import pandas as pd
    import xarray as xr
    import oceansdb
from numpy import ma
from cotede.qctests.location_at_sea import (
    extract_coordinates,
    LocationAtSea,
    location_at_sea,
    get_bathymetry,
)
from ..data import DummyData

       variable? It can't be done here, but should be done once the tests
       are combined.
    """
    if not OCEANSDB_AVAILABLE:
        return

    data = DummyData()
    data.data["LATITUDE"] = [15, 12, 8]
    data.data["LONGITUDE"] = [-38, 222, 0]

    y = LocationAtSea(data, cfg={"resolution": "5min"})

    assert hasattr(y, "features")
    assert "bathymetry" in y.features
    assert ma.allclose(y.features["bathymetry"], [5036, 4995, -122])
    assert hasattr(y, "flags")
    assert "location_at_sea" in y.flags
    assert np.allclose(y.flags["location_at_sea"], [1, 1, 3])


def test_LocationAtSea_track_pandas_noattrs():
    """Equivalent to test_LocationAtSea_track but using pandas
    """
    if not PANDAS_AVAILABLE or not OCEANSDB_AVAILABLE:
        return

    data = pd.DataFrame(DummyData().data)
    data["LATITUDE"] = 15
    data["LONGITUDE"] = -38


    y = LocationAtSea(data, cfg={"resolution": "5min"})