Beispiel #1
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    def test_convert_single_pair(self):
        merger = SlocumMerger(
            self.binary_path,
            self.ascii_path,
            globs=['usf-bass-2014-048-0-0.tbd', 'usf-bass-2014-048-0-0.sbd'])
        p = merger.convert()
        assert p == [{
            'ascii':
            os.path.join(self.ascii_path, 'usf_bass_2014_048_0_0_sbd.dat'),
            'binary':
            sorted([
                os.path.join(self.binary_path, 'usf-bass-2014-048-0-0.sbd'),
                os.path.join(self.binary_path, 'usf-bass-2014-048-0-0.tbd')
            ]),
        }]
        assert len(glob(os.path.join(self.ascii_path, '*.dat'))) == 1

        af = p[0]['ascii']
        sr = SlocumReader(af)
        raw = sr.data
        assert 'density' not in raw.columns
        assert 'salinity' not in raw.columns
        assert 't' not in raw.columns
        assert 'x' not in raw.columns
        assert 'y' not in raw.columns
        assert 'z' not in raw.columns

        enh = sr.standardize()
        assert not enh['density'].any(
        )  # No GPS data so we can't compute density
        assert 'salinity' in enh.columns
        assert 't' in enh.columns
        assert 'x' in enh.columns
        assert 'y' in enh.columns
        assert 'z' in enh.columns
Beispiel #2
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    def setUp(self):
        super(TestFindProfile, self).setUp()

        sr = SlocumReader(ctd_filepath)
        self.df = sr.standardize()

        self.profiled_dataset = assign_profiles(self.df, tsint=10)
Beispiel #3
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    def test_single_pair_existing_cac_files(self):
        # The 0 files are there to produce the required .cac files
        merger = SlocumMerger(
            self.binary_path,
            self.ascii_path,
            cache_directory=self.cache_path,
            globs=['modena-2015-175-0-9.dbd', 'modena-2015-175-0-9.ebd'])
        p = merger.convert()
        af = p[-1]['ascii']

        sr = SlocumReader(af)
        raw = sr.data
        assert 'density' not in raw.columns
        assert 'salinity' not in raw.columns
        assert 't' not in raw.columns
        assert 'x' not in raw.columns
        assert 'y' not in raw.columns
        assert 'z' not in raw.columns

        enh = sr.standardize()
        assert 'density' in enh.columns
        assert 'salinity' in enh.columns
        assert 't' in enh.columns
        assert 'x' in enh.columns
        assert 'y' in enh.columns
        assert 'z' in enh.columns
Beispiel #4
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    def test_read_all_pairs_gps(self):
        merger = SlocumMerger(
            self.binary_path,
            self.ascii_path,
            globs=['*.tbd', '*.sbd']
        )
        p = merger.convert()
        af = p[0]['ascii']

        sr = SlocumReader(af)
        raw = sr.data
        assert 'density' not in raw.columns
        assert 'salinity' not in raw.columns
        assert 't' not in raw.columns
        assert 'x' not in raw.columns
        assert 'y' not in raw.columns
        assert 'z' not in raw.columns

        enh = sr.standardize()
        assert 'density' in enh.columns
        assert 'salinity' in enh.columns
        assert 't' in enh.columns
        assert 'x' in enh.columns
        assert 'y' in enh.columns
        assert 'z' in enh.columns
Beispiel #5
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    def test_density(self):
        sr = SlocumReader(ctd_filepath)
        df = sr.standardize()

        salinity = calculate_practical_salinity(
            sr.data.sci_water_cond,
            sr.data.sci_water_temp,
            sr.data.sci_water_pressure,
        )
        assert sr.data.sci_m_present_time.size == salinity.size

        est_lat, est_lon = interpolate_gps(timestamps=masked_epoch(df.t),
                                           latitude=df.y,
                                           longitude=df.x)

        density = calculate_density(sr.data.sci_water_temp,
                                    sr.data.sci_water_pressure, salinity,
                                    est_lat, est_lon)
        assert sr.data.sci_m_present_time.size == density.size
Beispiel #6
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    def test_read_single_pair(self):
        merger = SlocumMerger(
            self.binary_path,
            self.ascii_path,
            globs=['usf-bass-2014-048-0-0.tbd', 'usf-bass-2014-048-0-0.sbd'])
        p = merger.convert()
        af = p[0]['ascii']

        sr = SlocumReader(af)
        raw = sr.data
        assert 'density' not in raw.columns
        assert 'salinity' not in raw.columns
        assert 't' not in raw.columns
        assert 'x' not in raw.columns
        assert 'y' not in raw.columns
        assert 'z' not in raw.columns

        enh = sr.standardize()
        assert 'density' not in enh.columns  # No GPS data so we can't compute density
        assert 'salinity' in enh.columns
        assert 't' in enh.columns
        assert 'x' in enh.columns
        assert 'y' in enh.columns
        assert 'z' in enh.columns
Beispiel #7
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    def setUp(self):
        super(TestInterpolateGPS, self).setUp()

        sr = SlocumReader(ctd_filepath)
        self.df = sr.standardize()