autowisp.tests.synthetic_light_curve_test_case module

Class Inheritance Diagram

Define a base class for tests on lightcurves built to a known answer.

class autowisp.tests.synthetic_light_curve_test_case.AllTemplatesTFA(epd_statistics, configuration, verify_template_data=False, **iterative_fit_config)

Bases: TFACorrection

A TFACorrection using every star in the statistics as template.

Template selection has its own tests; here it would only obscure which stars the fit uses.

class autowisp.tests.synthetic_light_curve_test_case.SyntheticLightCurveTestCase(methodName='runTest')

Bases: TestCase

Tests on two-channel lightcurves created in a throwaway project.

Self-contained (no downloaded test-data bundle): the bundle has a single channel, and its lightcurves follow no model a result could be checked against. Here both channels of a frame share its frame number, so only the channel tells their points apart.

classmethod _get_lc_fname(source_id)

Return the filename of the lightcurve of the given source.

static _get_template_statistics(num_templates)

Return EPD statistics listing sources 1 to num_templates.

classmethod _get_tfa_configuration(**overrides)

Return the step’s default configuration, as tfa() adapts it.

classmethod _write_light_curve(source_id, magnitudes, points=slice(None, None, None), extra_datasets=None)

Create the lightcurve of one source with the given points.

Parameters:

• source_id (int) – Identifies the source and names its lightcurve.

• magnitudes (array) – The brightness of the source at every channel of every frame, relative to a constant.

• points (slice or bool array) – The points the lightcurve has.

• extra_datasets (dict or None) – Further datasets to create, with their values at every channel of every frame indexed by pipeline key.

classmethod setUpClass()

Create the project and the frames the lightcurves sample.

classmethod tearDownClass()

Drop the throwaway project home.