test_smartloc module

Tests for TU Chemnitz SmartLoc data loaders.

test_smartloc.fixture_load_smartloc_raw(raw_path)

Load instance of SmartLocRaw

Parameters:

raw_path (pytest.fixture) – String with location of TU Chemnitz rawmeasurement file

Returns:

smartloc_raw – Instance of SmartLocRaw for testing

Return type:

SmartLocRaw

test_smartloc.fixture_pd_df(raw_path)

Load TU Chemnitz rawmeasurements into dataframe

Parameters:

raw_path (pytest.fixture) – String with filepath to smartloc_raw measurement file

Returns:

smartloc_raw_df – Dataframe with TU Chemnitz Raw measurements

Return type:

pd.DataFrame

test_smartloc.fixture_raw_path(root_path)

Filepath of TU Chemnitz Raw measurements

Returns:

raw_path – Location for the unit_test TU Chemnitz rawmeasurements

Return type:

string

Notes

Raw measurements come from TU Chemnitz dataset [1].

Dataset is available on their website [2].

References

[1]

Reisdorf, Pierre, Tim Pfeifer, Julia Bressler, Sven Bauer, Peter Weissig, Sven Lange, Gerd Wanielik and Peter Protzel. The Problem of Comparable GNSS Results – An Approach for a Uniform Dataset with Low-Cost and Reference Data. Vehicular. 2016.

[2]

https://www.tu-chemnitz.de/projekt/smartLoc/gnss_dataset.html.en#Home

test_smartloc.test_calculate_gt_ecef(smartloc_raw)

Test that GT position rows are added and size increases as expected when using calculate_gt_ecef.

Parameters:

smartloc_raw (gnss_lib_py.parsers.smartloc.SmartLocRaw) – Instance of SmartLocRaw for testing

test_smartloc.test_calculate_gt_vel_ecef(smartloc_raw)

Test that GT position rows are added and size increases as expected when using calculate_gt_vel.

Parameters:

smartloc_raw (gnss_lib_py.parsers.smartloc.SmartLocRaw) – Instance of SmartLocRaw for testing

test_smartloc.test_get_and_set_num(smartloc_raw)

Testing __getitem__ and __setitem__ methods for numerical values

Parameters:

smartloc_raw (pytest.fixture) – Instance of SmartLocRaw for testing

test_smartloc.test_get_and_set_str(smartloc_raw)

Testing __getitem__ and __setitem__ methods for string values

Parameters:

smartloc_raw (pytest.fixture) – Instance of SmartLocRaw for testing

test_smartloc.test_navdata_type(smartloc_raw)

Test that all subclasses inherit from NavData

Parameters:

smartloc_raw (pytest.fixture) – Instance of SmartLocRaw for testing

test_smartloc.test_nlos_removal(smartloc_raw)

Test that NLOS removal reduces length of NavData and that length stays same for repeated removals.

Parameters:

smartloc_raw (gnss_lib_py.parsers.smartloc.SmartLocRaw) – Instance of SmartLocRaw for testing

test_smartloc.test_shape_update(smartloc_raw)

Test that shape gets updated after adding a row.

Parameters:

smartloc_raw (pytest.fixture) – Instance of SmartLocRaw for testing

test_smartloc.test_smartloc_raw_df_equivalence(smartloc_raw, pd_df)

Test if naive dataframe and SmartLocRaw contain same data

Parameters:

• smartloc_raw (pytest.fixture) – Instance of SmartLocRaw for testing

• pd_df (pytest.fixture) – pd.DataFrame for testing measurements

test_smartloc.test_smartloc_raw_value_check(smartloc_raw, row_name, index, value)

Check SmartLocRaw entries against known values using test matrix

Parameters:

• smartloc_raw (pytest.fixture) – Instance of SmartLocRaw for testing

• row_name (string) – Row key for test example

• index (int) – Column number for test example

• value (float or string) – Known value to be checked against