`pyatoa.tests.test_asdf_utils`

Test the PyASDF ASDFDataSet auxiliary utilities

!!! TO DO: utils.asdf.write tests

Module Contents

`empty_dataset`(tmpdir)	Re-used test data pointing to STATIONS file
`dataset`()	Filled ASDFDataSet
`st_obs`()	Raw observed waveforms from station NZ.BFZ.HH? for New Zealand event
`st_syn`()	Synthetic data stream generated using Specfem3D and focal mechanism for
`cat`()	ObsPy Event Catalog for New Zealand based event with
`event`(cat)	Event from Catalog
`inv`()	StationXML information for station NZ.BFZ.HH?
`config`()	Default Pyatoa Config object
`mgmt_pre`(config, event, st_obs, st_syn, inv)	A manager filled with data but pre-workflow
`mgmt_post`(mgmt_pre)	A manager that has completed the full workflow
`test_add_misfit_windows`(empty_dataset, mgmt_post)	Test adding misfit windows to an ASDFDataSet
`test_add_adjoint_sources`(empty_dataset, mgmt_post)	Test adding adjoint sources to an ASDFDataSet
`test_clean_dataset`(empty_dataset, mgmt_post)	Test dataset clean functions. Need to perform tasks on a dataset we create
`test_clean_dataset_fix_windows`(empty_dataset, mgmt_post)	Test cleaning a dataset but retaining windows
`test_load_windows`(dataset)	Test the function that returns windows in the Pyflex output format from
`test_load_previous_windows`(empty_dataset, mgmt_post)	Test the function that returns windows in the Pyflex output format from
`test_load_adjsrcs`(dataset)	Test the function that returns windows in the Pyflex output format from

pyatoa.tests.test_asdf_utils.empty_dataset(tmpdir)[source]: Re-used test data pointing to STATIONS file

pyatoa.tests.test_asdf_utils.st_obs()[source]: Raw observed waveforms from station NZ.BFZ.HH? for New Zealand event 2018p130600 (GeoNet event id)

pyatoa.tests.test_asdf_utils.st_syn()[source]: Synthetic data stream generated using Specfem3D and focal mechanism for 2018p130600. Minimum resolved period roughly 10s.

pyatoa.tests.test_asdf_utils.cat()[source]: ObsPy Event Catalog for New Zealand based event with GeoNet Event ID: 2018p130600

pyatoa.tests.test_asdf_utils.inv()[source]: StationXML information for station NZ.BFZ.HH?

pyatoa.tests.test_asdf_utils.config()[source]: Default Pyatoa Config object

pyatoa.tests.test_asdf_utils.mgmt_pre(config, event, st_obs, st_syn, inv)[source]: A manager filled with data but pre-workflow

pyatoa.tests.test_asdf_utils.mgmt_post(mgmt_pre)[source]: A manager that has completed the full workflow

pyatoa.tests.test_asdf_utils.test_add_misfit_windows(empty_dataset, mgmt_post)[source]: Test adding misfit windows to an ASDFDataSet :return:

pyatoa.tests.test_asdf_utils.test_add_adjoint_sources(empty_dataset, mgmt_post)[source]: Test adding adjoint sources to an ASDFDataSet :return:

pyatoa.tests.test_asdf_utils.test_clean_dataset(empty_dataset, mgmt_post)[source]: Test dataset clean functions. Need to perform tasks on a dataset we create here, otherwise we may permanently affect test data if we use a pre-built ASDFDataSet

pyatoa.tests.test_asdf_utils.test_clean_dataset_fix_windows(empty_dataset, mgmt_post)[source]: Test cleaning a dataset but retaining windows :return:

pyatoa.tests.test_asdf_utils.test_load_windows(dataset)[source]: Test the function that returns windows in the Pyflex output format from an ASDFDataSet

pyatoa.tests.test_asdf_utils.test_load_previous_windows(empty_dataset, mgmt_post)[source]: Test the function that returns windows in the Pyflex output format from an ASDFDataSet

pyatoa.tests.test_asdf_utils.test_load_adjsrcs(dataset)[source]

Test the function that returns windows in the Pyflex output format from an ASDFDataSet