pytoda.datasets.tests.test_base_dataset module

Testing basic ways to setup a dataset.

Summary

Classes:

Delegating	NOT implementing methods (and only built-ins from inheritance).
Indexed	As DataFrameDataset but only implementing necessary methods.
TestBaseDatasets	Testing dataset for base methods.

Reference

class Indexed(df)

Bases: Generic[torch.utils.data.dataset.T_co]

As DataFrameDataset but only implementing necessary methods.

get_key(index)

Get key from integer index.

Return type

Hashable

get_index(key)

Get index for first datum mapping to the given key.

Return type

int

class Delegating(data)

Bases: Generic[torch.utils.data.dataset.T_co]

NOT implementing methods (and only built-ins from inheritance).

class TestBaseDatasets(methodName='runTest')

Bases: unittest.case.TestCase

Testing dataset for base methods.

length = 11

dims = 5

random_data(length, dims)

setUp()

Hook method for setting up the test fixture before exercising it.

assertListedEqual(listable1, listable2)

Easier comparison between arrays, series and or lists.

test_delegation_dir()

test___len__()

Test __len__.

Return type

None

test___getitem__()

Test __getitem__.

Return type

None

test__getitem__mutating_utils()

test_data_loader()

Test data_loader.

Return type

None

test_all_base_for_indexed_methods_and_copy()