eolearn.core.utils.testing

The eodata module provides core objects for handling remote sensing multi-temporal data (such as satellite imagery).

class eolearn.core.utils.testing.PatchGeneratorConfig(num_timestamps=5, timestamps_range=(datetime.datetime(2019, 1, 1, 0, 0), datetime.datetime(2019, 12, 31, 0, 0)), max_integer_value=256, raster_shape=(98, 151), depth_range=(1, 3))

Bases: object

Dataclass containing a more complex setup of the PatchGenerator class.

Parameters:

• num_timestamps (int) –

• timestamps_range (tuple[datetime.datetime, datetime.datetime]) –

• max_integer_value (int) –

• raster_shape (tuple[int, int]) –

• depth_range (tuple[int, int]) –

num_timestamps: int = 5

timestamps_range: tuple[datetime.datetime, datetime.datetime] = (datetime.datetime(2019, 1, 1, 0, 0), datetime.datetime(2019, 12, 31, 0, 0))

timestamps: list[datetime.datetime]

max_integer_value: int = 256

raster_shape: tuple[int, int] = (98, 151)

depth_range: tuple[int, int] = (1, 3)

eolearn.core.utils.testing.generate_eopatch(features=None, bbox=BBox(((0.0, 0.0), (100.0, 100.0)), crs=CRS('32633')), timestamps=None, seed=42, config=None)

A class for generating EOPatches with dummy data.

Parameters:

• features (FeaturesSpecification | None) –

• bbox (BBox) –

• timestamps (list[dt.datetime] | None) –

• seed (int) –

• config (PatchGeneratorConfig | None) –

Return type:

EOPatch

eolearn.core.utils.testing.assert_feature_data_equal(tested_feature, expected_feature)

Asserts that the data of two features is equal. Cases are specialized for common data found in EOPatches.

Parameters:

• tested_feature (Any) –

• expected_feature (Any) –

Return type:

None