pyatoa.tests.test_process_util

Test the functionalities of the suite of processing functions in the utilities

Module Contents

Functions

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

test_filters(st_obs)

Make sure st_obs works with various input frequencies/ periods

test_zero_pad(st_obs)

Ensure that zero padding adds the same number of data points each time

test_trim_streams_and_match_npts(st_obs, st_syn)

Ensure that forcing number of points standardization works

test_is_preprocessed(st_obs)

Test the check function that determines if a stream is preprocessed

test_stf_convolve()

!!! TO DO

pyatoa.tests.test_process_util.st_obs()[source]

Raw observed waveforms from station NZ.BFZ.HH? for New Zealand event 2018p130600 (GeoNet event id)

pyatoa.tests.test_process_util.st_syn()[source]

Synthetic data stream generated using Specfem3D and focal mechanism for 2018p130600. Minimum resolved period roughly 10s.

pyatoa.tests.test_process_util.cat()[source]

ObsPy Event Catalog for New Zealand based event with GeoNet Event ID: 2018p130600

pyatoa.tests.test_process_util.event(cat)[source]

Event from Catalog

pyatoa.tests.test_process_util.inv()[source]

StationXML information for station NZ.BFZ.HH?

pyatoa.tests.test_process_util.config()[source]

Default Pyatoa Config object

pyatoa.tests.test_process_util.mgmt_pre(config, event, st_obs, st_syn, inv)[source]

A manager filled with data but pre-workflow

pyatoa.tests.test_process_util.test_filters(st_obs)[source]

Make sure st_obs works with various input frequencies/ periods

pyatoa.tests.test_process_util.test_zero_pad(st_obs)[source]

Ensure that zero padding adds the same number of data points each time

pyatoa.tests.test_process_util.test_trim_streams_and_match_npts(st_obs, st_syn)[source]

Ensure that forcing number of points standardization works

pyatoa.tests.test_process_util.test_is_preprocessed(st_obs)[source]

Test the check function that determines if a stream is preprocessed

pyatoa.tests.test_process_util.test_stf_convolve()[source]

!!! TO DO