Python FUTURE.context方法代码示例

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
 def test_cell_datetime_objects(self):
     # Check the scalar coordinate summary still works even when
     # iris.FUTURE.cell_datetime_objects is True.
     cube = Cube(0)
     cube.add_aux_coord(AuxCoord(42, units='hours since epoch'))
     with FUTURE.context(cell_datetime_objects=True):
         summary = cube.summary()
     self.assertIn('1970-01-02 18:00:00', summary)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
def pick_times(some_cube,years,months,days,hours):
    tconstraint = Constraint(time = lambda a: _get_truth_value(a, years, months, days,hours))

    with FUTURE.context(cell_datetime_objects=True):
        extracted = some_cube.extract(tconstraint)
        if extracted is None:
            t_coord = some_cube.coord('time')
            print("No cube extracted, returning 'None'.")
            print("Is your selection within the time bounds of the original cube?")
            print(t_coord.units.num2date(t_coord.points[0]))
            print(t_coord.units.num2date(t_coord.points[-1]))
            print(t_coord.units.calendar)
            
        return some_cube.extract(tconstraint)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
 def test_gdt90_with_bitmap(self):
     with FUTURE.context(strict_grib_load=True):
         path = tests.get_data_path(('GRIB', 'umukv', 'ukv_chan9.grib2'))
         cube = load_cube(path)
         # Pay particular attention to the orientation.
         self.assertIsNot(cube.data[0, 0], ma.masked)
         self.assertIs(cube.data[-1, 0], ma.masked)
         self.assertIs(cube.data[0, -1], ma.masked)
         self.assertIs(cube.data[-1, -1], ma.masked)
         x = cube.coord('projection_x_coordinate').points
         y = cube.coord('projection_y_coordinate').points
         self.assertGreater(x[0], x[-1])  # Decreasing X coordinate
         self.assertLess(y[0], y[-1])  # Increasing Y coordinate
         # Check everything else.
         self.assertCMLApproxData(cube)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
    def test_save_load(self):
        cube = stock.lat_lon_cube()
        cube.rename('atmosphere_mole_content_of_ozone')
        cube.units = Unit('Dobson')
        tcoord = DimCoord(23, 'time',
                          units=Unit('days since epoch', calendar='standard'))
        fpcoord = DimCoord(24, 'forecast_period', units=Unit('hours'))
        cube.add_aux_coord(tcoord)
        cube.add_aux_coord(fpcoord)
        cube.attributes['WMO_constituent_type'] = 0

        with self.temp_filename('test_grib_pdt40.grib2') as temp_file_path:
            save(cube, temp_file_path)
            with FUTURE.context(strict_grib_load=True):
                loaded = load_cube(temp_file_path)
            self.assertEqual(loaded.attributes, cube.attributes)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
 def setUp(self):
     # Load from the test file.
     file_path = tests.get_data_path(('GRIB', 'time_processed',
                                      'time_bound.grib2'))
     with FUTURE.context(strict_grib_load=True):
         self.cube = load_cube(file_path)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
 def test_gdt1(self):
     with FUTURE.context(strict_grib_load=True):
         path = tests.get_data_path(('GRIB', 'rotated_nae_t',
                                     'sensible_pole.grib2'))
         cube = load_cube(path)
         self.assertCMLApproxData(cube)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
 def test_grid_complex_spatial_differencing(self):
     path = tests.get_data_path(('GRIB', 'missing_values',
                                 'missing_values.grib2'))
     with FUTURE.context(strict_grib_load=True):
         cube = load_cube(path)
     self.assertCMLApproxData(cube)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
 def test_reduced(self):
     path = tests.get_data_path(('GRIB', 'reduced', 'reduced_gg.grib2'))
     with FUTURE.context(strict_grib_load=True):
         cube = load_cube(path)
     self.assertCMLApproxData(cube)

# 需要导入模块: from iris import FUTURE [as 别名]
# 或者: from iris.FUTURE import context [as 别名]
    def test_save_load(self):
        # Load sample UKV data (variable-resolution rotated grid).
        path = tests.get_data_path(('PP', 'ukV1', 'ukVpmslont.pp'))
        cube = load_cube(path)

        # Extract a single 2D field, for simplicity.
        self.assertEqual(cube.ndim, 3)
        self.assertEqual(cube.coord_dims('time'), (0,))
        cube = cube[0]

        # FOR NOW: **also** fix the data so that it is square, i.e. nx=ny.
        # This is needed because of a bug in the gribapi.
        # See : https://software.ecmwf.int/issues/browse/SUP-1096
        ny, nx = cube.shape
        nn = min(nx, ny)
        cube = cube[:nn, :nn]

        # Check that it has a rotated-pole variable-spaced grid, as expected.
        x_coord = cube.coord(axis='x')
        self.assertIsInstance(x_coord.coord_system, RotatedGeogCS)
        self.assertFalse(is_regular(x_coord))

        # Write to temporary file, check grib_dump output, and load back in.
        with self.temp_filename('ukv_sample.grib2') as temp_file_path:
            save(cube, temp_file_path)

            # Get a grib_dump of the output file.
            dump_text = check_output(('grib_dump -O -wcount=1 ' +
                                      temp_file_path),
                                     shell=True).decode()

            # Check that various aspects of the saved file are as expected.
            expect_strings = (
                'editionNumber = 2',
                'gridDefinitionTemplateNumber = 5',
                'Ni = {:d}'.format(cube.shape[-1]),
                'Nj = {:d}'.format(cube.shape[-2]),
                'shapeOfTheEarth = 1',
                'scaledValueOfRadiusOfSphericalEarth = {:d}'.format(
                    int(UM_DEFAULT_EARTH_RADIUS)),
                'resolutionAndComponentFlags = 0',
                'latitudeOfSouthernPole = -37500000',
                'longitudeOfSouthernPole = 357500000',
                'angleOfRotation = 0')
            for expect in expect_strings:
                self.assertIn(expect, dump_text)

            # Load the Grib file back into a new cube.
            with FUTURE.context(strict_grib_load=True):
                cube_loaded_from_saved = load_cube(temp_file_path)
                # Also load data, before the temporary file gets deleted.
                cube_loaded_from_saved.data

        # The re-loaded result will not match the original in every respect:
        #  * cube attributes are discarded
        #  * horizontal coordinates are rounded to an integer representation
        #  * bounds on horizontal coords are lost
        # Thus the following "equivalence tests" are rather piecemeal..

        # Check those re-loaded properties which should match the original.
        for test_cube in (cube, cube_loaded_from_saved):
            self.assertEqual(test_cube.standard_name,
                             'air_pressure_at_sea_level')
            self.assertEqual(test_cube.units, 'Pa')
            self.assertEqual(test_cube.shape, (744, 744))
            self.assertEqual(test_cube.cell_methods, ())

        # Check no cube attributes on the re-loaded cube.
        # Note: this does *not* match the original, but is as expected.
        self.assertEqual(cube_loaded_from_saved.attributes, {})

        # Now remaining to check: coordinates + data...

        # Check they have all the same coordinates.
        co_names = [coord.name() for coord in cube.coords()]
        co_names_reload = [coord.name()
                           for coord in cube_loaded_from_saved.coords()]
        self.assertEqual(sorted(co_names_reload), sorted(co_names))

        # Check all the coordinates.
        for coord_name in co_names:
            try:
                co_orig = cube.coord(coord_name)
                co_load = cube_loaded_from_saved.coord(coord_name)

                # Check shape.
                self.assertEqual(co_load.shape, co_orig.shape,
                                 'Shape of re-loaded "{}" coord is {} '
                                 'instead of {}'.format(coord_name,
                                                        co_load.shape,
                                                        co_orig.shape))

                # Check coordinate points equal, within a tolerance.
                self.assertArrayAllClose(co_load.points, co_orig.points,
                                         rtol=1.0e-6)

                # Check all coords are unbounded.
                # (NOTE: this is not so for the original X and Y coordinates,
                # but Grib does not store those bounds).
                self.assertIsNone(co_load.bounds)
#.........这里部分代码省略.........