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"nodeid": "clients/nrl/tests/test_nrl.py::TestNRLLocalV2StationXML::test_get_integrated_response", "outcome": "passed", "keywords": ["test_get_integrated_response", "filterwarnings", "TestNRLLocalV2StationXML", "test_nrl.py", "tests", "nrl", "clients", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029899924993515015}}, {"call": {"outcome": "passed", "duration": 0.013122700154781342}, "setup": {"outcome": "passed", "duration": 0.06733859982341528}, "lineno": 385, "nodeid": "clients/nrl/tests/test_nrl.py::TestNRLLocalV2StationXML::test_get_soh_response", "outcome": "passed", "keywords": ["test_get_soh_response", "filterwarnings", "TestNRLLocalV2StationXML", "test_nrl.py", "tests", "nrl", "clients", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0004193997010588646}}, {"call": {"outcome": "passed", "duration": 0.0018102005124092102}, "setup": {"outcome": "passed", "duration": 0.0011351006105542183}, "lineno": 113, "nodeid": "clients/seedlink/tests/test_basic_client.py::test_get_waveform_calls_to_get_info", "outcome": "passed", "keywords": ["test_get_waveform_calls_to_get_info", "__wrapped__", "patchings", "filterwarnings", "test_basic_client.py", "tests", "seedlink", "clients", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024290010333061218}}, {"call": {"outcome": "passed", "duration": 0.0012748995795845985}, "setup": {"outcome": "passed", "duration": 0.000565200112760067}, "lineno": 15, "nodeid": "clients/seedlink/tests/test_slpacket.py::TestSLPacket::test_get_string_payload", "outcome": "passed", "keywords": ["test_get_string_payload", "filterwarnings", "TestSLPacket", "test_slpacket.py", "tests", "seedlink", "clients", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029429979622364044}}, {"call": {"outcome": "failed", "duration": 0.027288399636745453, "longrepr": "066 BW.RJOB..EHZ | 2009-08-24T00:20:03.000000Z - ... | 100.0 Hz, 3000 samples\n067 BW.RJOB..EHN | 2009-08-24T00:20:03.000000Z - ... | 100.0 Hz, 3000 samples\n068 BW.RJOB..EHE | 2009-08-24T00:20:03.000000Z - ... | 100.0 Hz, 3000 samples\n069 >>> tr = st[0]\n070 >>> print(tr) # doctest: +ELLIPSIS\n071 BW.RJOB..EHZ | 2009-08-24T00:20:03.000000Z - ... | 100.0 Hz, 3000 samples\n072 >>> tr.data\n073 array([ 0. , 0.00694644, 0.07597424, ..., 1.93449584,\n074 0.98196204, 0.44196924])\n075 >>> print(tr.stats) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,5 +1,5 @@\n network: BW\n station: RJOB\n - location:\n + location: \n channel: EHZ\n starttime: 2009-08-24T00:20:03.000000Z\n @@ -9,3 +9,12 @@\n npts: 3000\n calib: 1.0\n - ...\n + back_azimuth: 100.0\n + inclination: 30.0\n + response: Channel Response\n +\tFrom M/S (Velocity in Meters Per Second) to COUNTS (Digital Counts)\n +\tOverall Sensitivity: 2.5168e+09 defined at 0.020 Hz\n +\t4 stages:\n +\t\tStage 1: PolesZerosResponseStage from M/S to V, gain: 1500\n +\t\tStage 2: CoefficientsTypeResponseStage from V to COUNTS, gain: 1.67785e+06\n +\t\tStage 3: FIRResponseStage from COUNTS to COUNTS, gain: 1\n +\t\tStage 4: FIRResponseStage from COUNTS to COUNTS, gain: 1\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\__init__.py:75: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0006633000448346138}, "lineno": 11, "nodeid": "core/__init__.py::obspy.core", "outcome": "failed", "keywords": ["obspy.core", "filterwarnings", "__init__.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002972995862364769}}, {"call": {"outcome": "passed", "duration": 0.00654549989849329}, "setup": {"outcome": "passed", "duration": 0.0003313003107905388}, "lineno": 21, "nodeid": "core/compatibility.py::obspy.core.compatibility.round_away", "outcome": "passed", "keywords": ["obspy.core.compatibility.round_away", "filterwarnings", "compatibility.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0005441000685095787}}, {"call": {"outcome": "passed", "duration": 0.00937000010162592}, "setup": {"outcome": "passed", "duration": 0.0011518998071551323}, "lineno": 549, "nodeid": "core/event/base.py::obspy.core.event.base.Comment", "outcome": "passed", "keywords": ["obspy.core.event.base.Comment", "filterwarnings", "base.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000268399715423584}}, {"call": {"outcome": "passed", "duration": 0.0064583998173475266}, "setup": {"outcome": "passed", "duration": 0.0002947002649307251}, "lineno": 491, "nodeid": "core/event/base.py::obspy.core.event.base.CompositeTime", "outcome": "passed", "keywords": ["obspy.core.event.base.CompositeTime", "filterwarnings", "base.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002851998433470726}}, {"call": {"outcome": "passed", "duration": 0.0057756006717681885}, "setup": {"outcome": "passed", "duration": 0.00031029991805553436}, "lineno": 420, "nodeid": "core/event/base.py::obspy.core.event.base.CreationInfo", "outcome": "passed", "keywords": ["obspy.core.event.base.CreationInfo", "filterwarnings", "base.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002856999635696411}}, {"call": {"outcome": "passed", "duration": 0.005890899337828159}, "setup": {"outcome": "passed", "duration": 0.0003062998875975609}, "lineno": 62, "nodeid": "core/event/base.py::obspy.core.event.base.QuantityError.__bool__", "outcome": "passed", "keywords": ["obspy.core.event.base.QuantityError.__bool__", "filterwarnings", "base.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000277799554169178}}, {"call": {"outcome": "failed", "duration": 0.006577199324965477, "longrepr": "623 attributes.\n624 It will only be used if the network, station, location and channel\n625 keyword argument are ALL None.\n626 \n627 .. rubric:: Example\n628 \n629 >>> # Can be initialized with a SEED string or with individual components.\n630 >>> stream_id = WaveformStreamID(network_code=\"BW\", station_code=\"FUR\",\n631 ... location_code=\"\", channel_code=\"EHZ\")\n632 >>> print(stream_id) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,5 +1,5 @@\n WaveformStreamID\n - network_code: 'BW'\n - station_code: 'FUR'\n - channel_code: 'EHZ'\n - location_code: ''\n +\t network_code: 'BW'\n +\t station_code: 'FUR'\n +\t channel_code: 'EHZ'\n +\t location_code: ''\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\event\\base.py:632: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00032380037009716034}, "lineno": 594, "nodeid": "core/event/base.py::obspy.core.event.base.WaveformStreamID", "outcome": "failed", "keywords": ["obspy.core.event.base.WaveformStreamID", "filterwarnings", "base.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026529934257268906}}, {"call": {"outcome": "passed", "duration": 0.008635299280285835}, "setup": {"outcome": "passed", "duration": 0.00030109938234090805}, "lineno": 103, "nodeid": "core/event/base.py::obspy.core.event.base._event_type_class_factory", "outcome": "passed", "keywords": ["obspy.core.event.base._event_type_class_factory", "filterwarnings", "base.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002744002267718315}}, {"call": {"outcome": "passed", "duration": 0.028035799972712994}, "setup": {"outcome": "passed", "duration": 0.000333600677549839}, "lineno": 125, "nodeid": "core/event/catalog.py::obspy.core.event.catalog.Catalog.__eq__", "outcome": "passed", "keywords": ["obspy.core.event.catalog.Catalog.__eq__", "filterwarnings", "catalog.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026240013539791107}}, {"call": {"outcome": "passed", "duration": 0.021944699808955193}, "setup": {"outcome": "passed", "duration": 0.000299699604511261}, "lineno": 258, "nodeid": "core/event/catalog.py::obspy.core.event.catalog.Catalog.clear", "outcome": "passed", "keywords": ["obspy.core.event.catalog.Catalog.clear", "filterwarnings", "catalog.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00034040026366710663}}, {"call": {"outcome": "passed", "duration": 0.022729400545358658}, "setup": {"outcome": "passed", "duration": 0.00031319912523031235}, "lineno": 403, "nodeid": "core/event/catalog.py::obspy.core.event.catalog.Catalog.copy", "outcome": "passed", "keywords": ["obspy.core.event.catalog.Catalog.copy", "filterwarnings", "catalog.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028009992092847824}}, {"call": {"outcome": "passed", "duration": 0.025471200235188007}, "setup": {"outcome": "passed", "duration": 0.00030010007321834564}, "lineno": 274, "nodeid": "core/event/catalog.py::obspy.core.event.catalog.Catalog.filter", "outcome": "passed", "keywords": ["obspy.core.event.catalog.Catalog.filter", "filterwarnings", "catalog.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002787001430988312}}, {"call": {"outcome": "passed", "duration": 0.08878130000084639}, "setup": {"outcome": "passed", "duration": 0.00030519999563694}, "lineno": 512, "nodeid": "core/event/catalog.py::obspy.core.event.catalog.Catalog.plot", "outcome": "passed", "keywords": ["obspy.core.event.catalog.Catalog.plot", "filterwarnings", "catalog.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027750059962272644}}, {"call": {"outcome": "passed", "duration": 0.020160799846053123}, "setup": {"outcome": "passed", "duration": 0.0003011999651789665}, "lineno": 457, "nodeid": "core/event/catalog.py::obspy.core.event.catalog.Catalog.write", "outcome": "passed", "keywords": ["obspy.core.event.catalog.Catalog.write", "filterwarnings", "catalog.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027689989656209946}}, {"call": {"outcome": "passed", "duration": 0.019516199827194214}, "setup": {"outcome": "passed", "duration": 0.00047140009701251984}, "lineno": 169, "nodeid": "core/event/event.py::obspy.core.event.event.Event.plot", "outcome": "passed", "keywords": ["obspy.core.event.event.Event.plot", "filterwarnings", "event.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002862997353076935}}, {"call": {"outcome": "passed", "duration": 0.0054857004433870316}, "setup": {"outcome": "passed", "duration": 0.00031530018895864487}, "lineno": 308, "nodeid": "core/event/event.py::obspy.core.event.event.Event.write", "outcome": "passed", "keywords": ["obspy.core.event.event.Event.write", "filterwarnings", "event.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000268399715423584}}, {"call": {"outcome": "failed", "duration": 0.00684139970690012, "longrepr": "276 >>> from obspy.core.event import Origin\n277 >>> origin = Origin()\n278 >>> origin.resource_id = 'smi:ch.ethz.sed/origin/37465'\n279 >>> origin.time = UTCDateTime(0)\n280 >>> origin.latitude = 12\n281 >>> origin.latitude_errors.uncertainty = 0.01\n282 >>> origin.latitude_errors.confidence_level = 95.0\n283 >>> origin.longitude = 42\n284 >>> origin.depth_type = 'from location'\n285 >>> print(origin) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,6 +1,6 @@\n Origin\n - resource_id: ResourceIdentifier(id=\"smi:ch.ethz.sed/...\")\n - time: UTCDateTime(1970, 1, 1, 0, 0)\n - longitude: 42.0\n - latitude: 12.0 [confidence_level=95.0, uncertainty=0.01]\n - depth_type: ...'from location'\n +\t resource_id: ResourceIdentifier(id=\"smi:ch.ethz.sed/origin/37465\")\n +\t time: UTCDateTime(1970, 1, 1, 0, 0)\n +\t longitude: 42.0\n +\t latitude: 12.0 [confidence_level=95.0, uncertainty=0.01]\n +\t depth_type: 'from location'\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\event\\origin.py:285: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00032330024987459183}, "lineno": 177, "nodeid": "core/event/origin.py::obspy.core.event.origin.Origin", "outcome": "failed", "keywords": ["obspy.core.event.origin.Origin", "filterwarnings", "origin.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002837004140019417}}, {"call": {"outcome": "passed", "duration": 0.007861600257456303}, "setup": {"outcome": "passed", "duration": 0.00032870005816221237}, "lineno": 73, "nodeid": "core/event/resourceid.py::obspy.core.event.resourceid.ResourceIdentifier", "outcome": "passed", "keywords": ["obspy.core.event.resourceid.ResourceIdentifier", "filterwarnings", "resourceid.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002552000805735588}}, {"call": {"outcome": "passed", "duration": 0.00639059953391552}, "setup": {"outcome": "passed", "duration": 0.000327100045979023}, "lineno": 528, "nodeid": "core/event/resourceid.py::obspy.core.event.resourceid.ResourceIdentifier.copy", "outcome": "passed", "keywords": ["obspy.core.event.resourceid.ResourceIdentifier.copy", "filterwarnings", "resourceid.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029540061950683594}}, {"call": {"outcome": "passed", "duration": 0.005736599676311016}, "setup": {"outcome": "passed", "duration": 0.0002947002649307251}, "lineno": 485, "nodeid": "core/event/resourceid.py::obspy.core.event.resourceid.ResourceIdentifier.get_quakeml_uri_str", "outcome": "passed", "keywords": ["obspy.core.event.resourceid.ResourceIdentifier.get_quakeml_uri_str", "filterwarnings", "resourceid.py", "event", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002601994201540947}}, {"call": {"outcome": "failed", "duration": 0.020583699457347393, "longrepr": "021 -------\n022 StationXML files can be read using the\n023 :func:`~obspy.core.inventory.inventory.read_inventory()` function that\n024 returns an :class:`~obspy.core.inventory.inventory.Inventory` object.\n025 \n026 >>> from obspy import read_inventory\n027 >>> inv = read_inventory(\"/path/to/BW_RJOB.xml\")\n028 >>> inv # doctest: +ELLIPSIS\n029 \n030 >>> print(inv) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,11 +1,11 @@\n Inventory created at 2013-12-07T18:00:42.878000Z\n - Created by: fdsn-stationxml-converter/1.0.0\n - http://www.iris.edu/fdsnstationconverter\n - Sending institution: Erdbebendienst Bayern\n - Contains:\n - Networks (1):\n - BW\n - Stations (1):\n - BW.RJOB (Jochberg, Bavaria, BW-Net)\n - Channels (3):\n - BW.RJOB..EHZ, BW.RJOB..EHN, BW.RJOB..EHE\n +\tCreated by: fdsn-stationxml-converter/1.0.0\n +\t\t http://www.iris.edu/fdsnstationconverter\n +\tSending institution: Erdbebendienst Bayern\n +\tContains:\n +\t\tNetworks (1):\n +\t\t\tBW\n +\t\tStations (1):\n +\t\t\tBW.RJOB (Jochberg, Bavaria, BW-Net)\n +\t\tChannels (3):\n +\t\t\tBW.RJOB..EHZ, BW.RJOB..EHN, BW.RJOB..EHE\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\inventory\\__init__.py:30: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007927007973194122}, "lineno": 1, "nodeid": "core/inventory/__init__.py::obspy.core.inventory", "outcome": "failed", "keywords": ["obspy.core.inventory", "filterwarnings", "__init__.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029930006712675095}}, {"call": {"outcome": "passed", "duration": 0.05944749992340803}, "setup": {"outcome": "passed", "duration": 0.0003984002396464348}, "lineno": 394, "nodeid": "core/inventory/channel.py::obspy.core.inventory.channel.Channel.plot", "outcome": "passed", "keywords": ["obspy.core.inventory.channel.Channel.plot", "filterwarnings", "channel.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027929991483688354}}, {"call": {"outcome": "passed", "duration": 0.09188809990882874}, "setup": {"outcome": "passed", "duration": 0.00032300036400556564}, "lineno": 153, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.__eq__", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.__eq__", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027959980070590973}}, {"call": {"outcome": "passed", "duration": 0.08853740058839321}, "setup": {"outcome": "passed", "duration": 0.0003019999712705612}, "lineno": 374, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.copy", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.copy", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002669999375939369}}, {"call": {"outcome": "passed", "duration": 0.014092399738729}, "setup": {"outcome": "passed", "duration": 0.00029109977185726166}, "lineno": 243, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.get_contents", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.get_contents", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002661999315023422}}, {"call": {"outcome": "passed", "duration": 0.056020500138401985}, "setup": {"outcome": "passed", "duration": 0.00029250048100948334}, "lineno": 488, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.get_coordinates", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.get_coordinates", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028750021010637283}}, {"call": {"outcome": "passed", "duration": 0.15391520038247108}, "setup": {"outcome": "passed", "duration": 0.0003479002043604851}, "lineno": 515, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.get_orientation", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.get_orientation", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002728002145886421}}, {"call": {"outcome": "failed", "duration": 0.03034370020031929, "longrepr": "416 \n417 Find response for a given channel at given time.\n418 \n419 >>> from obspy import read_inventory, UTCDateTime\n420 >>> inventory = read_inventory(\"/path/to/IU_ANMO_BH.xml\")\n421 >>> datetime = UTCDateTime(\"2012-08-24T00:00:00\")\n422 >>> response = inventory.get_response(\"IU.ANMO.00.BHZ\", datetime)\n423 >>> print(response) # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,7 +1,7 @@\n Channel Response\n - From M/S (Velocity in Meters Per Second) to COUNTS (Digital Counts)\n - Overall Sensitivity: 3.27508e+09 defined at 0.020 Hz\n - 3 stages:\n - Stage 1: PolesZerosResponseStage from M/S to V, gain: 1952.1\n - Stage 2: CoefficientsTypeResponseStage from V to COUNTS, gain: ...\n - Stage 3: CoefficientsTypeResponseStage from COUNTS to COUNTS, ...\n +\tFrom M/S (Velocity in Meters Per Second) to COUNTS (Digital Counts)\n +\tOverall Sensitivity: 3.27508e+09 defined at 0.020 Hz\n +\t3 stages:\n +\t\tStage 1: PolesZerosResponseStage from M/S to V, gain: 1952.1\n +\t\tStage 2: CoefficientsTypeResponseStage from V to COUNTS, gain: 1.67772e+06\n +\t\tStage 3: CoefficientsTypeResponseStage from COUNTS to COUNTS, gain: 1\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\inventory\\inventory.py:423: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00029530003666877747}, "lineno": 415, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.get_response", "outcome": "failed", "keywords": ["obspy.core.inventory.inventory.Inventory.get_response", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002773003652691841}}, {"call": {"outcome": "passed", "duration": 0.1279556006193161}, "setup": {"outcome": "passed", "duration": 0.0003020996227860451}, "lineno": 826, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.plot", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.plot", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027219951152801514}}, {"call": {"outcome": "passed", "duration": 0.05612560082226992}, "setup": {"outcome": "passed", "duration": 0.0003000004217028618}, "lineno": 1035, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.plot_response", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.plot_response", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002724006772041321}}, {"call": {"outcome": "failed", "duration": 0.056552499532699585, "longrepr": "690 (see https://docs.python.org/3/library/copy.html).\n691 Use :meth:`copy()` afterwards to make a new copy of the data in\n692 memory.\n693 \n694 .. rubric:: Example\n695 \n696 >>> from obspy import read_inventory, UTCDateTime\n697 >>> inv = read_inventory()\n698 >>> inv_new = inv.remove(network='BW')\n699 >>> print(inv_new) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,17 +1,16 @@\n Inventory created at 2014-03-03T11:07:06.198000Z\n - Created by: fdsn-stationxml-converter/1.0.0\n - http://www.iris.edu/fdsnstationconverter\n - Sending institution: Erdbebendienst Bayern\n - Contains:\n - Networks (1):\n - GR\n - Stations (2):\n - GR.FUR (Fuerstenfeldbruck, Bavaria, GR-Net)\n - GR.WET (Wettzell, Bavaria, GR-Net)\n - Channels (21):\n - GR.FUR..BHZ, GR.FUR..BHN, GR.FUR..BHE, GR.FUR..HHZ,\n - GR.FUR..HHN, GR.FUR..HHE, GR.FUR..LHZ, GR.FUR..LHN,\n - GR.FUR..LHE, GR.FUR..VHZ, GR.FUR..VHN, GR.FUR..VHE,\n - GR.WET..BHZ, GR.WET..BHN, GR.WET..BHE, GR.WET..HHZ,\n - GR.WET..HHN, GR.WET..HHE, GR.WET..LHZ, GR.WET..LHN,\n - GR.WET..LHE\n +\tCreated by: fdsn-stationxml-converter/1.0.0\n +\t\t http://www.iris.edu/fdsnstationconverter\n +\tSending institution: Erdbebendienst Bayern\n +\tContains:\n +\t\tNetworks (1):\n +\t\t\tGR\n +\t\tStations (2):\n +\t\t\tGR.FUR (Fuerstenfeldbruck, Bavaria, GR-Net)\n +\t\t\tGR.WET (Wettzell, Bavaria, GR-Net)\n +\t\tChannels (21):\n +\t\t\tGR.FUR..BHZ, GR.FUR..BHN, GR.FUR..BHE, GR.FUR..HHZ, GR.FUR..HHN, \n +\t\t\tGR.FUR..HHE, GR.FUR..LHZ, GR.FUR..LHN, GR.FUR..LHE, GR.FUR..VHZ, \n +\t\t\tGR.FUR..VHN, GR.FUR..VHE, GR.WET..BHZ, GR.WET..BHN, GR.WET..BHE, \n +\t\t\tGR.WET..HHZ, GR.WET..HHN, GR.WET..HHE, GR.WET..LHZ, GR.WET..LHN, \n +\t\t\tGR.WET..LHE\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\inventory\\inventory.py:699: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0003054998815059662}, "lineno": 676, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.remove", "outcome": "failed", "keywords": ["obspy.core.inventory.inventory.Inventory.remove", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003000004217028618}}, {"call": {"outcome": "failed", "duration": 0.05528800003230572, "longrepr": "558 Use :meth:`copy()` afterwards to make a new copy of the data in\n559 memory.\n560 \n561 .. rubric:: Example\n562 \n563 >>> from obspy import read_inventory, UTCDateTime\n564 >>> inv = read_inventory()\n565 >>> t = UTCDateTime(2007, 7, 1, 12)\n566 >>> inv = inv.select(channel=\"*Z\", station=\"[RW]*\", time=t)\n567 >>> print(inv) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,12 +1,12 @@\n Inventory created at 2014-03-03T11:07:06.198000Z\n - Created by: fdsn-stationxml-converter/1.0.0\n - http://www.iris.edu/fdsnstationconverter\n - Sending institution: Erdbebendienst Bayern\n - Contains:\n - Networks (2):\n - BW, GR\n - Stations (2):\n - BW.RJOB (Jochberg, Bavaria, BW-Net)\n - GR.WET (Wettzell, Bavaria, GR-Net)\n - Channels (4):\n - BW.RJOB..EHZ, GR.WET..BHZ, GR.WET..HHZ, GR.WET..LHZ\n +\tCreated by: fdsn-stationxml-converter/1.0.0\n +\t\t http://www.iris.edu/fdsnstationconverter\n +\tSending institution: Erdbebendienst Bayern\n +\tContains:\n +\t\tNetworks (2):\n +\t\t\tBW, GR\n +\t\tStations (2):\n +\t\t\tBW.RJOB (Jochberg, Bavaria, BW-Net)\n +\t\t\tGR.WET (Wettzell, Bavaria, GR-Net)\n +\t\tChannels (4):\n +\t\t\tBW.RJOB..EHZ, GR.WET..BHZ, GR.WET..HHZ, GR.WET..LHZ\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\inventory\\inventory.py:567: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00030899979174137115}, "lineno": 543, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.select", "outcome": "failed", "keywords": ["obspy.core.inventory.inventory.Inventory.select", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002625994384288788}}, {"call": {"outcome": "passed", "duration": 0.05483800079673529}, "setup": {"outcome": "passed", "duration": 0.0002860007807612419}, "lineno": 327, "nodeid": "core/inventory/inventory.py::obspy.core.inventory.inventory.Inventory.write", "outcome": "passed", "keywords": ["obspy.core.inventory.inventory.Inventory.write", "filterwarnings", "inventory.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002661999315023422}}, {"call": {"outcome": "passed", "duration": 0.012178500182926655}, "setup": {"outcome": "passed", "duration": 0.0003147004172205925}, "lineno": 181, "nodeid": "core/inventory/network.py::obspy.core.inventory.network.Network.get_contents", "outcome": "passed", "keywords": ["obspy.core.inventory.network.Network.get_contents", "filterwarnings", "network.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003074994310736656}}, {"call": {"outcome": "passed", "duration": 0.05680850055068731}, "setup": {"outcome": "passed", "duration": 0.0002891998738050461}, "lineno": 504, "nodeid": "core/inventory/network.py::obspy.core.inventory.network.Network.plot", "outcome": "passed", "keywords": ["obspy.core.inventory.network.Network.plot", "filterwarnings", "network.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025620032101869583}}, {"call": {"outcome": "passed", "duration": 0.05432150047272444}, "setup": {"outcome": "passed", "duration": 0.0004262998700141907}, "lineno": 644, "nodeid": "core/inventory/network.py::obspy.core.inventory.network.Network.plot_response", "outcome": "passed", "keywords": ["obspy.core.inventory.network.Network.plot_response", "filterwarnings", "network.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025719963014125824}}, {"call": {"outcome": "failed", "duration": 0.05601369962096214, "longrepr": "379 Use :meth:`copy()` afterwards to make a new copy of the data in\n380 memory.\n381 \n382 .. rubric:: Example\n383 \n384 >>> from obspy import read_inventory, UTCDateTime\n385 >>> net = read_inventory()[0]\n386 >>> t = UTCDateTime(2008, 7, 1, 12)\n387 >>> net = net.select(channel=\"[LB]HZ\", time=t)\n388 >>> print(net) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,10 +1,10 @@\n Network GR (GRSN)\n - Station Count: None/None (Selected/Total)\n - -- - --\n - Access: UNKNOWN\n - Contains:\n - Stations (2):\n - GR.FUR (Fuerstenfeldbruck, Bavaria, GR-Net)\n - GR.WET (Wettzell, Bavaria, GR-Net)\n - Channels (4):\n - GR.FUR..BHZ, GR.FUR..LHZ, GR.WET..BHZ, GR.WET..LHZ\n +\tStation Count: None/None (Selected/Total)\n +\t-- - --\n +\tAccess: UNKNOWN\n +\tContains:\n +\t\tStations (2):\n +\t\t\tGR.FUR (Fuerstenfeldbruck, Bavaria, GR-Net)\n +\t\t\tGR.WET (Wettzell, Bavaria, GR-Net)\n +\t\tChannels (4):\n +\t\t\tGR.FUR..BHZ, GR.FUR..LHZ, GR.WET..BHZ, GR.WET..LHZ\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\inventory\\network.py:388: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00029559992253780365}, "lineno": 367, "nodeid": "core/inventory/network.py::obspy.core.inventory.network.Network.select", "outcome": "failed", "keywords": ["obspy.core.inventory.network.Network.select", "filterwarnings", "network.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026670005172491074}}, {"call": {"outcome": "passed", "duration": 0.005414100363850594}, "setup": {"outcome": "passed", "duration": 0.00038369931280612946}, "lineno": 882, "nodeid": "core/inventory/response.py::obspy.core.inventory.response.Response.get_sampling_rates", "outcome": "passed", "keywords": ["obspy.core.inventory.response.Response.get_sampling_rates", "filterwarnings", "response.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002538999542593956}}, {"call": {"outcome": "passed", "duration": 0.05628100037574768}, "setup": {"outcome": "passed", "duration": 0.00029269978404045105}, "lineno": 1797, "nodeid": "core/inventory/response.py::obspy.core.inventory.response.Response.plot", "outcome": "passed", "keywords": ["obspy.core.inventory.response.Response.plot", "filterwarnings", "response.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027079973369836807}}, {"call": {"outcome": "passed", "duration": 0.010625899769365788}, "setup": {"outcome": "passed", "duration": 0.0005866996943950653}, "lineno": 196, "nodeid": "core/inventory/station.py::obspy.core.inventory.station.Station.get_contents", "outcome": "passed", "keywords": ["obspy.core.inventory.station.Station.get_contents", "filterwarnings", "station.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026320014148950577}}, {"call": {"outcome": "passed", "duration": 0.05457939952611923}, "setup": {"outcome": "passed", "duration": 0.0002910001203417778}, "lineno": 472, "nodeid": "core/inventory/station.py::obspy.core.inventory.station.Station.plot", "outcome": "passed", "keywords": ["obspy.core.inventory.station.Station.plot", "filterwarnings", "station.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029669981449842453}}, {"call": {"outcome": "failed", "duration": 0.06409809924662113, "longrepr": "362 Use :meth:`copy()` afterwards to make a new copy of the data in\n363 memory.\n364 \n365 .. rubric:: Example\n366 \n367 >>> from obspy import read_inventory, UTCDateTime\n368 >>> sta = read_inventory()[0][0]\n369 >>> t = UTCDateTime(2008, 7, 1, 12)\n370 >>> sta = sta.select(channel=\"[LB]HZ\", time=t)\n371 >>> print(sta) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,9 +1,10 @@\n Station FUR (Fuerstenfeldbruck, Bavaria, GR-Net)\n - Station Code: FUR\n - Channel Count: None/None (Selected/Total)\n - 2006-12-16T00:00:00.000000Z -\n - Access: None\n - Latitude: 48.1629, Longitude: 11.2752, Elevation: 565.0 m\n - Available Channels:\n - ..BHZ 20.0 Hz 2006-12-16 to None\n - ..LHZ 1.0 Hz 2006-12-16 to None\n +\tStation Code: FUR\n +\tChannel Count: None/None (Selected/Total)\n +\t2006-12-16T00:00:00.000000Z - \n +\tAccess: None \n +\tLatitude: 48.1629, Longitude: 11.2752, Elevation: 565.0 m\n +\tAvailable Channels:\n +\t ..BHZ 20.0 Hz 2006-12-16 to None\n +\t ..LHZ 1.0 Hz 2006-12-16 to None\n +\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\inventory\\station.py:371: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00039479974657297134}, "lineno": 351, "nodeid": "core/inventory/station.py::obspy.core.inventory.station.Station.select", "outcome": "failed", "keywords": ["obspy.core.inventory.station.Station.select", "filterwarnings", "station.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026270002126693726}}, {"call": {"outcome": "passed", "duration": 0.06169619970023632}, "setup": {"outcome": "passed", "duration": 0.000309700146317482}, "lineno": 154, "nodeid": "core/inventory/util.py::obspy.core.inventory.util.BaseNode.copy", "outcome": "passed", "keywords": ["obspy.core.inventory.util.BaseNode.copy", "filterwarnings", "util.py", "inventory", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027640070766210556}}, {"call": {"outcome": "passed", "duration": 0.005884299986064434}, "setup": {"outcome": "passed", "duration": 0.00032620038837194443}, "lineno": 303, "nodeid": "core/stream.py::obspy.core.stream.Stream", "outcome": "passed", "keywords": ["obspy.core.stream.Stream", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026459991931915283}}, {"call": {"outcome": "passed", "duration": 0.00650430005043745}, "setup": {"outcome": "passed", "duration": 0.0002894001081585884}, "lineno": 346, "nodeid": "core/stream.py::obspy.core.stream.Stream.__add__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__add__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00032529979944229126}}, {"call": {"outcome": "passed", "duration": 0.034232900477945805}, "setup": {"outcome": "passed", "duration": 0.0002953996881842613}, "lineno": 542, "nodeid": "core/stream.py::obspy.core.stream.Stream.__eq__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__eq__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026110000908374786}}, {"call": {"outcome": "passed", "duration": 0.005936699919402599}, "setup": {"outcome": "passed", "duration": 0.00029669981449842453}, "lineno": 384, "nodeid": "core/stream.py::obspy.core.stream.Stream.__iadd__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__iadd__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029219966381788254}}, {"call": {"outcome": "passed", "duration": 0.007112700492143631}, "setup": {"outcome": "passed", "duration": 0.0003163004294037819}, "lineno": 443, "nodeid": "core/stream.py::obspy.core.stream.Stream.__iter__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__iter__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002699000760912895}}, {"call": {"outcome": "passed", "duration": 0.0058758994564414024}, "setup": {"outcome": "passed", "duration": 0.0002937000244855881}, "lineno": 492, "nodeid": "core/stream.py::obspy.core.stream.Stream.__len__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__len__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027430057525634766}}, {"call": {"outcome": "passed", "duration": 0.08158579934388399}, "setup": {"outcome": "passed", "duration": 0.0002937000244855881}, "lineno": 417, "nodeid": "core/stream.py::obspy.core.stream.Stream.__mul__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__mul__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002937000244855881}}, {"call": {"outcome": "passed", "duration": 0.0329237999394536}, "setup": {"outcome": "passed", "duration": 0.0003089001402258873}, "lineno": 590, "nodeid": "core/stream.py::obspy.core.stream.Stream.__ne__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__ne__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028249993920326233}}, {"call": {"outcome": "passed", "duration": 0.005679000169038773}, "setup": {"outcome": "passed", "duration": 0.000300699844956398}, "lineno": 506, "nodeid": "core/stream.py::obspy.core.stream.Stream.__str__", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.__str__", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025910045951604843}}, {"call": {"outcome": "passed", "duration": 0.006570000201463699}, "setup": {"outcome": "passed", "duration": 0.00029429979622364044}, "lineno": 3353, "nodeid": "core/stream.py::obspy.core.stream.Stream._dummy_stream_from_string", "outcome": "passed", "keywords": ["obspy.core.stream.Stream._dummy_stream_from_string", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002872999757528305}}, {"call": {"outcome": "passed", "duration": 0.028669199906289577}, "setup": {"outcome": "passed", "duration": 0.0003081001341342926}, "lineno": 3543, "nodeid": "core/stream.py::obspy.core.stream.Stream._rotate_specific_channels_to_zne", "outcome": "passed", "keywords": ["obspy.core.stream.Stream._rotate_specific_channels_to_zne", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002699000760912895}}, {"call": {"outcome": "passed", "duration": 0.047272199764847755}, "setup": {"outcome": "passed", "duration": 0.00030739977955818176}, "lineno": 3485, "nodeid": "core/stream.py::obspy.core.stream.Stream._rotate_to_zne", "outcome": "passed", "keywords": ["obspy.core.stream.Stream._rotate_to_zne", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027509965002536774}}, {"call": {"outcome": "passed", "duration": 0.021292800083756447}, "setup": {"outcome": "passed", "duration": 0.00030250009149312973}, "lineno": 663, "nodeid": "core/stream.py::obspy.core.stream.Stream.append", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.append", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002717999741435051}}, {"call": {"outcome": "failed", "duration": 0.06826379988342524, "longrepr": "3168 To subsequently deconvolve the instrument response use\n3169 :meth:`Stream.remove_response`.\n3170 \n3171 >>> from obspy import read, read_inventory\n3172 >>> st = read()\n3173 >>> inv = read_inventory()\n3174 >>> st.attach_response(inv)\n3175 []\n3176 >>> tr = st[0]\n3177 >>> print(tr.stats.response) # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,8 +1,8 @@\n Channel Response\n - From M/S (Velocity in Meters per Second) to COUNTS (Digital Counts)\n - Overall Sensitivity: 2.5168e+09 defined at 0.020 Hz\n - 4 stages:\n - Stage 1: PolesZerosResponseStage from M/S to V, gain: 1500\n - Stage 2: CoefficientsTypeResponseStage from V to COUNTS, ...\n - Stage 3: FIRResponseStage from COUNTS to COUNTS, gain: 1\n - Stage 4: FIRResponseStage from COUNTS to COUNTS, gain: 1\n +\tFrom M/S (Velocity in Meters per Second) to COUNTS (Digital Counts)\n +\tOverall Sensitivity: 2.5168e+09 defined at 0.020 Hz\n +\t4 stages:\n +\t\tStage 1: PolesZerosResponseStage from M/S to V, gain: 1500\n +\t\tStage 2: CoefficientsTypeResponseStage from V to COUNTS, gain: 1.67785e+06\n +\t\tStage 3: FIRResponseStage from COUNTS to COUNTS, gain: 1\n +\t\tStage 4: FIRResponseStage from COUNTS to COUNTS, gain: 1\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\stream.py:3177: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00029300060123205185}, "lineno": 3162, "nodeid": "core/stream.py::obspy.core.stream.Stream.attach_response", "outcome": "failed", "keywords": ["obspy.core.stream.Stream.attach_response", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026009976863861084}}, {"call": {"outcome": 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0.02075000014156103}, "setup": {"outcome": "passed", "duration": 0.00030300021171569824}, "lineno": 1317, "nodeid": "core/stream.py::obspy.core.stream.Stream.reverse", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.reverse", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026830006390810013}}, {"call": {"outcome": "passed", "duration": 0.04318759962916374}, "setup": {"outcome": "passed", "duration": 0.00029220059514045715}, "lineno": 2703, "nodeid": "core/stream.py::obspy.core.stream.Stream.rotate", "outcome": "passed", "keywords": ["obspy.core.stream.Stream.rotate", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002699000760912895}}, {"call": {"outcome": "failed", "duration": 0.021039599552750587, "longrepr": "1796 1 Trace(s) in Stream:\n1797 BW.RJOB..EHZ | 2009-08-24T00:20:03.000000Z ... | 100.0 Hz, 3000 samples\n1798 \n1799 >>> st2 = st.select(component=\"Z\")\n1800 >>> print(st2) # doctest: +ELLIPSIS\n1801 1 Trace(s) in Stream:\n1802 BW.RJOB..EHZ | 2009-08-24T00:20:03.000000Z ... | 100.0 Hz, 3000 samples\n1803 \n1804 >>> st2 = st.select(network=\"CZ\")\n1805 >>> print(st2) # doctest: +NORMALIZE_WHITESPACE\nExpected:\n 0 Trace(s) in Stream:\nGot:\n 0 Trace(s) in Stream:\n \n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\stream.py:1805: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00030609965324401855}, "lineno": 1773, "nodeid": "core/stream.py::obspy.core.stream.Stream.select", "outcome": "failed", "keywords": ["obspy.core.stream.Stream.select", "filterwarnings", "stream.py", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027269963175058365}}, {"call": {"outcome": "passed", "duration": 0.02428469993174076}, "setup": {"outcome": "passed", "duration": 0.00029170047491788864}, "lineno": 2082, "nodeid": "core/stream.py::obspy.core.stream.Stream.simulate", "outcome": 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"passed", "duration": 0.0002891002222895622}}, {"call": {"outcome": "failed", "duration": 0.07345139980316162, "longrepr": "2647 if no matching response can be found.\n2648 To subsequently deconvolve the instrument response use\n2649 :meth:`obspy.core.trace.Trace.remove_response`.\n2650 \n2651 >>> from obspy import read, read_inventory\n2652 >>> st = read()\n2653 >>> tr = st[0]\n2654 >>> inv = read_inventory()\n2655 >>> tr.attach_response(inv)\n2656 >>> print(tr.stats.response) # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,8 +1,8 @@\n Channel Response\n - From M/S (Velocity in Meters per Second) to COUNTS (Digital Counts)\n - Overall Sensitivity: 2.5168e+09 defined at 0.020 Hz\n - 4 stages:\n - Stage 1: PolesZerosResponseStage from M/S to V, gain: 1500\n - Stage 2: CoefficientsTypeResponseStage from V to COUNTS, ...\n - Stage 3: FIRResponseStage from COUNTS to COUNTS, gain: 1\n - Stage 4: FIRResponseStage from COUNTS to COUNTS, 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>>> create_empty_data_chunk(\nDifferences (unified diff with -expected +actual):\n @@ -1,3 +1,4 @@\n masked_array(data = [-- -- --],\n - mask = ...,\n - ...)\n + mask = [ True True True],\n + fill_value = 1e+20)\n +\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\util\\base.py:155: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0003574993461370468}, "lineno": 139, "nodeid": "core/util/base.py::obspy.core.util.base.create_empty_data_chunk", "outcome": "failed", "keywords": ["obspy.core.util.base.create_empty_data_chunk", "filterwarnings", "base.py", "util", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003122994676232338}}, {"call": {"outcome": "passed", "duration": 0.02119459956884384}, "setup": {"outcome": "passed", "duration": 0.00032449979335069656}, "lineno": 184, "nodeid": "core/util/base.py::obspy.core.util.base.get_example_file", "outcome": "passed", "keywords": ["obspy.core.util.base.get_example_file", "filterwarnings", 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0.00028869975358247757}}, {"call": {"outcome": "passed", "duration": 0.005571500398218632}, "setup": {"outcome": "passed", "duration": 0.0003177998587489128}, "lineno": 185, "nodeid": "core/util/misc.py::obspy.core.util.misc.to_int_or_zero", "outcome": "passed", "keywords": ["obspy.core.util.misc.to_int_or_zero", "filterwarnings", "misc.py", "util", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002769995480775833}}, {"call": {"outcome": "passed", "duration": 0.009353299625217915}, "setup": {"outcome": "passed", "duration": 0.0005443999543786049}, "lineno": 20, "nodeid": "core/util/obspy_types.py::obspy.core.util.obspy_types.Enum", "outcome": "passed", "keywords": ["obspy.core.util.obspy_types.Enum", "filterwarnings", "obspy_types.py", "util", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000319099985063076}}, {"call": {"outcome": "failed", "duration": 0.006131899543106556, "longrepr": "148 >>> enum = Enum([\"c\", \"a\", \"b\"])\n149 >>> print(repr(enum))\n150 Enum([\"c\", \"a\", \"b\"])\n151 >>> enum = Enum([\"not existing\",\n152 ... \"not reported\",\n153 ... \"earthquake\",\n154 ... \"controlled explosion\",\n155 ... \"experimental explosion\",\n156 ... \"industrial explosion\"])\n157 >>> print(repr(enum)) # doctest: +NORMALIZE_WHITESPACE\nExpected:\n Enum([\"not existing\", \"not reported\", ..., \"experimental explosion\",\n \"industrial explosion\"])\nGot:\n Enum([\"not existing\", \"not reported\", ..., \"experimental explosion\", \"industrial explosion\"])\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\util\\obspy_types.py:157: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0002990998327732086}, "lineno": 146, "nodeid": "core/util/obspy_types.py::obspy.core.util.obspy_types.Enum.__repr__", "outcome": "failed", "keywords": ["obspy.core.util.obspy_types.Enum.__repr__", "filterwarnings", "obspy_types.py", "util", "core", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003265002742409706}}, {"call": {"outcome": "failed", "duration": 0.006101999431848526, "longrepr": "131 >>> enum = Enum([\"c\", \"a\", \"b\"])\n132 >>> print(enum)\n133 Enum([\"c\", \"a\", \"b\"])\n134 >>> enum = Enum([\"not existing\",\n135 ... \"not reported\",\n136 ... \"earthquake\",\n137 ... \"controlled explosion\",\n138 ... \"experimental explosion\",\n139 ... \"industrial explosion\"])\n140 >>> print(enum) # doctest: +NORMALIZE_WHITESPACE\nExpected:\n Enum([\"not existing\", \"not reported\", ..., \"experimental explosion\",\n \"industrial explosion\"])\nGot:\n Enum([\"not existing\", \"not reported\", ..., \"experimental explosion\", \"industrial explosion\"])\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\core\\util\\obspy_types.py:140: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0003253994509577751}, "lineno": 129, "nodeid": "core/util/obspy_types.py::obspy.core.util.obspy_types.Enum.__str__", "outcome": "failed", "keywords": 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"imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_wiggles_vertical_section", "outcome": "passed", "keywords": ["test_plot_wiggles_vertical_section", "filterwarnings", "image", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00032769981771707535}}, {"call": {"outcome": "passed", "duration": 0.23427809961140156}, "setup": {"outcome": "passed", "duration": 0.0003644004464149475}, "lineno": 399, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_default_relative", "outcome": "passed", "keywords": ["test_plot_default_relative", "filterwarnings", "image", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028979964554309845}}, {"call": {"outcome": "passed", "duration": 0.20670820027589798}, "setup": {"outcome": "passed", "duration": 0.00034299958497285843}, "lineno": 408, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_ref_time_relative", "outcome": "passed", "keywords": ["test_plot_ref_time_relative", "filterwarnings", "image", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002947002649307251}}, {"call": {"outcome": "passed", "duration": 0.21727070026099682}, "setup": {"outcome": "passed", "duration": 0.0003501996397972107}, "lineno": 420, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot", "outcome": "passed", "keywords": ["test_plot_day_plot", "filterwarnings", "image", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029949937015771866}}, {"call": {"outcome": "passed", "duration": 0.30124569963663816}, "setup": {"outcome": "passed", "duration": 0.0005304999649524689}, "lineno": 430, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot_interval[2-16-True]", "outcome": "passed", "keywords": ["test_plot_day_plot_interval[2-16-True]", "parametrize", "pytestmark", "2-16-True", "filterwarnings", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003191996365785599}}, {"call": {"outcome": "passed", "duration": 0.12431060057133436}, "setup": {"outcome": "passed", "duration": 0.0004486003890633583}, "lineno": 430, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot_interval[10-11-True]", "outcome": "passed", "keywords": ["test_plot_day_plot_interval[10-11-True]", "parametrize", "pytestmark", "10-11-True", "filterwarnings", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002974998205900192}}, {"call": {"outcome": "passed", "duration": 0.11690040025860071}, "setup": {"outcome": "passed", "duration": 0.00038370024412870407}, "lineno": 430, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot_interval[23-10-False]", "outcome": "passed", "keywords": ["test_plot_day_plot_interval[23-10-False]", "parametrize", "pytestmark", "23-10-False", "filterwarnings", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003085993230342865}}, {"call": {"outcome": "passed", "duration": 0.09218680020421743}, "setup": {"outcome": "passed", "duration": 0.0003989003598690033}, "lineno": 430, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot_interval[25-6-True]", "outcome": "passed", "keywords": ["test_plot_day_plot_interval[25-6-True]", "parametrize", "pytestmark", "25-6-True", "filterwarnings", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028979964554309845}}, {"call": {"outcome": "passed", "duration": 0.20794419944286346}, "setup": {"outcome": "passed", "duration": 0.0003436002880334854}, "lineno": 447, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot_explicit_event", "outcome": "passed", "keywords": ["test_plot_day_plot_explicit_event", "filterwarnings", "image", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002981005236506462}}, {"call": {"outcome": "passed", "duration": 0.24934140034019947}, "setup": {"outcome": "passed", "duration": 0.00035220012068748474}, "lineno": 467, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_plot_day_plot_catalog", "outcome": "passed", "keywords": ["test_plot_day_plot_catalog", "filterwarnings", "image", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000292300246655941}}, {"call": {"outcome": "passed", "duration": 0.0928507000207901}, "setup": {"outcome": "passed", "duration": 0.0002743992954492569}, "lineno": 479, "nodeid": "imaging/tests/test_waveform.py::TestWaveformPlot::test_section_max_npts", "outcome": "passed", "keywords": ["test_section_max_npts", "filterwarnings", "TestWaveformPlot", "test_waveform.py", "tests", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002717999741435051}}, {"call": {"outcome": "failed", "duration": 0.006988000124692917, "longrepr": "199 >>> from random import shuffle\n200 >>> from string import ascii_lowercase, ascii_uppercase\n201 >>> lowercase = list(ascii_lowercase)\n202 >>> uppercase = list(ascii_uppercase)\n203 >>> shuffle(lowercase)\n204 >>> shuffle(uppercase)\n205 >>> component_codes = lowercase + uppercase\n206 >>> component_codes = sorted(component_codes,\n207 ... key=_component_code_key)\n208 >>> print(component_codes) # doctest: +NORMALIZE_WHITESPACE\nExpected:\n ['z', 'Z', 'n', 'N', 'e', 'E', 'r', 'R', 'l', 'L', 'q', 'Q', 't', 'T', 'a',\n 'A', 'b', 'B', 'c', 'C', 'd', 'D', 'f', 'F', 'g', 'G', 'h', 'H', 'i',\n 'I', 'j', 'J', 'k', 'K', 'm', 'M', 'o', 'O', 'p', 'P', 's', 'S', 'u',\n 'U', 'v', 'V', 'w', 'W', 'x', 'X', 'y', 'Y']\nGot:\n ['z', 'Z', 'n', 'N', 'e', 'E', 'r', 'R', 'l', 'L', 'q', 'Q', 't', 'T', 'a', 'A', 'b', 'B', 'c', 'C', 'd', 'D', 'f', 'F', 'g', 'G', 'h', 'H', 'i', 'I', 'j', 'J', 'k', 'K', 'm', 'M', 'o', 'O', 'p', 'P', 's', 'S', 'u', 'U', 'v', 'V', 'w', 'W', 'x', 'X', 'y', 'Y']\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\imaging\\util.py:208: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0003195004537701607}, "lineno": 194, "nodeid": "imaging/util.py::obspy.imaging.util._component_code_key", "outcome": "failed", "keywords": ["obspy.imaging.util._component_code_key", "filterwarnings", "util.py", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028380006551742554}}, {"call": {"outcome": "failed", "duration": 0.006092000752687454, "longrepr": "158 >>> trace_ids = []\n159 >>> for net in networks:\n160 ... for sta in stations:\n161 ... for loc in locations:\n162 ... for cha in channels:\n163 ... trace_ids.append(\".\".join([net, sta, loc, cha]))\n164 >>> from random import shuffle\n165 >>> shuffle(trace_ids)\n166 >>> trace_ids = sorted(trace_ids, key=_id_key)\n167 >>> print(\" \".join(trace_ids)) # doctest: +NORMALIZE_WHITESPACE\nExpected:\n A.X.00.Z A.X.00.EHZ A.X.00.EHN A.X.00.EHE A.X.01.Z A.X.01.EHZ A.X.01.EHN\n A.X.01.EHE A.XY.00.Z A.XY.00.EHZ A.XY.00.EHN A.XY.00.EHE A.XY.01.Z\n A.XY.01.EHZ A.XY.01.EHN A.XY.01.EHE A.Y.00.Z A.Y.00.EHZ A.Y.00.EHN\n A.Y.00.EHE A.Y.01.Z A.Y.01.EHZ A.Y.01.EHN A.Y.01.EHE AB.X.00.Z AB.X.00.EHZ\n AB.X.00.EHN AB.X.00.EHE AB.X.01.Z AB.X.01.EHZ AB.X.01.EHN AB.X.01.EHE\n AB.XY.00.Z AB.XY.00.EHZ AB.XY.00.EHN AB.XY.00.EHE AB.XY.01.Z AB.XY.01.EHZ\n AB.XY.01.EHN AB.XY.01.EHE AB.Y.00.Z AB.Y.00.EHZ AB.Y.00.EHN AB.Y.00.EHE\n AB.Y.01.Z AB.Y.01.EHZ AB.Y.01.EHN AB.Y.01.EHE B.X.00.Z B.X.00.EHZ\n B.X.00.EHN B.X.00.EHE B.X.01.Z B.X.01.EHZ B.X.01.EHN B.X.01.EHE B.XY.00.Z\n B.XY.00.EHZ B.XY.00.EHN B.XY.00.EHE B.XY.01.Z B.XY.01.EHZ B.XY.01.EHN\n B.XY.01.EHE B.Y.00.Z B.Y.00.EHZ B.Y.00.EHN B.Y.00.EHE B.Y.01.Z B.Y.01.EHZ\n B.Y.01.EHN B.Y.01.EHE\nGot:\n A.X.00.Z A.X.00.EHZ A.X.00.EHN A.X.00.EHE A.X.01.Z A.X.01.EHZ A.X.01.EHN A.X.01.EHE A.XY.00.Z A.XY.00.EHZ A.XY.00.EHN A.XY.00.EHE A.XY.01.Z A.XY.01.EHZ A.XY.01.EHN A.XY.01.EHE A.Y.00.Z A.Y.00.EHZ A.Y.00.EHN A.Y.00.EHE A.Y.01.Z A.Y.01.EHZ A.Y.01.EHN A.Y.01.EHE AB.X.00.Z AB.X.00.EHZ AB.X.00.EHN AB.X.00.EHE AB.X.01.Z AB.X.01.EHZ AB.X.01.EHN AB.X.01.EHE AB.XY.00.Z AB.XY.00.EHZ AB.XY.00.EHN AB.XY.00.EHE AB.XY.01.Z AB.XY.01.EHZ AB.XY.01.EHN AB.XY.01.EHE AB.Y.00.Z AB.Y.00.EHZ AB.Y.00.EHN AB.Y.00.EHE AB.Y.01.Z AB.Y.01.EHZ AB.Y.01.EHN AB.Y.01.EHE B.X.00.Z B.X.00.EHZ B.X.00.EHN B.X.00.EHE B.X.01.Z B.X.01.EHZ B.X.01.EHN B.X.01.EHE B.XY.00.Z B.XY.00.EHZ B.XY.00.EHN B.XY.00.EHE B.XY.01.Z B.XY.01.EHZ B.XY.01.EHN B.XY.01.EHE B.Y.00.Z B.Y.00.EHZ B.Y.00.EHN B.Y.00.EHE B.Y.01.Z B.Y.01.EHZ B.Y.01.EHN B.Y.01.EHE\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\imaging\\util.py:167: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0003009997308254242}, "lineno": 148, "nodeid": "imaging/util.py::obspy.imaging.util._id_key", "outcome": "failed", "keywords": ["obspy.imaging.util._id_key", "filterwarnings", "util.py", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025170017033815384}}, {"call": {"outcome": "passed", "duration": 0.005887200124561787}, "setup": {"outcome": "passed", "duration": 0.0002848999574780464}, "lineno": 223, "nodeid": "imaging/util.py::obspy.imaging.util._timestring", "outcome": "passed", "keywords": ["obspy.imaging.util._timestring", "filterwarnings", "util.py", "imaging", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025960057973861694}}, {"call": {"outcome": "passed", "duration": 0.0015443004667758942}, "setup": {"outcome": "passed", "duration": 0.0020869001746177673}, "lineno": 14, "nodeid": "io/ah/tests/test_core.py::TestCore::test_is_ah", "outcome": "passed", "keywords": ["test_is_ah", "filterwarnings", "TestCore", "test_core.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024349987506866455}}, {"call": {"outcome": "passed", "duration": 0.01923349965363741}, "setup": {"outcome": "passed", "duration": 0.0002787001430988312}, "lineno": 50, "nodeid": "io/ah/tests/test_core.py::TestCore::test_read", "outcome": "passed", "keywords": ["test_read", "filterwarnings", "TestCore", "test_core.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026270002126693726}}, {"call": {"outcome": "passed", "duration": 0.008127699606120586}, "setup": {"outcome": "passed", "duration": 0.0003470005467534065}, "lineno": 75, "nodeid": "io/ah/tests/test_core.py::TestCore::test_read_ah", "outcome": "passed", "keywords": ["test_read_ah", "filterwarnings", "TestCore", "test_core.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002859998494386673}}, {"call": {"outcome": "passed", "duration": 0.0012362003326416016}, "setup": {"outcome": "passed", "duration": 0.0002800002694129944}, "lineno": 178, "nodeid": "io/ah/tests/test_core.py::TestCore::test_tsg", "outcome": "passed", "keywords": ["test_tsg", "filterwarnings", "TestCore", "test_core.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024119950830936432}}, {"call": {"outcome": "passed", "duration": 0.05354650039225817}, "setup": {"outcome": "passed", "duration": 0.0002835998311638832}, "lineno": 251, "nodeid": "io/ah/tests/test_core.py::TestCore::test_write_ah1", "outcome": "passed", "keywords": ["test_write_ah1", "filterwarnings", "TestCore", "test_core.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003274008631706238}}, {"call": {"outcome": "passed", "duration": 0.00033659953624010086}, "setup": {"outcome": "passed", "duration": 0.00030010007321834564}, "lineno": 61, "nodeid": "io/ah/tests/test_xdrlib.py::TestXDR::test_xdr", "outcome": "passed", "keywords": ["test_xdr", "filterwarnings", "TestXDR", "test_xdrlib.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00023909937590360641}}, {"call": {"outcome": "passed", "duration": 0.0002537006512284279}, "setup": {"outcome": "passed", "duration": 0.00032040011137723923}, "lineno": 118, "nodeid": "io/ah/tests/test_xdrlib.py::TestConversionError::test_pack_int", "outcome": "passed", "keywords": ["test_pack_int", "filterwarnings", "TestConversionError", "test_xdrlib.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002549998462200165}}, {"call": {"outcome": "passed", "duration": 0.00024930015206336975}, "setup": {"outcome": "passed", "duration": 0.0003108000382781029}, "lineno": 121, "nodeid": "io/ah/tests/test_xdrlib.py::TestConversionError::test_pack_uint", "outcome": "passed", "keywords": ["test_pack_uint", "filterwarnings", "TestConversionError", "test_xdrlib.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002545993775129318}}, {"call": {"outcome": "passed", "duration": 0.0002474002540111542}, "setup": {"outcome": "passed", "duration": 0.0003077993169426918}, "lineno": 124, "nodeid": "io/ah/tests/test_xdrlib.py::TestConversionError::test_float", "outcome": "passed", "keywords": ["test_float", "filterwarnings", "TestConversionError", "test_xdrlib.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002533998340368271}}, {"call": {"outcome": "passed", "duration": 0.0002768002450466156}, "setup": {"outcome": "passed", "duration": 0.0003704996779561043}, "lineno": 127, "nodeid": "io/ah/tests/test_xdrlib.py::TestConversionError::test_double", "outcome": "passed", "keywords": ["test_double", "filterwarnings", "TestConversionError", "test_xdrlib.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026239920407533646}}, {"call": {"outcome": "passed", "duration": 0.00024749990552663803}, "setup": {"outcome": "passed", "duration": 0.0003137001767754555}, "lineno": 130, "nodeid": "io/ah/tests/test_xdrlib.py::TestConversionError::test_uhyper", "outcome": "passed", "keywords": ["test_uhyper", "filterwarnings", "TestConversionError", "test_xdrlib.py", "tests", "ah", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00036009959876537323}}, {"call": {"outcome": "passed", "duration": 0.005506199784576893}, "setup": {"outcome": "passed", "duration": 0.0007379995658993721}, "lineno": 1, "nodeid": "io/alsep/__init__.py::obspy.io.alsep", "outcome": "passed", "keywords": ["obspy.io.alsep", "filterwarnings", "__init__.py", "alsep", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002630995586514473}}, {"call": {"outcome": "passed", "duration": 0.07441959995776415}, "setup": {"outcome": "passed", "duration": 0.0003110002726316452}, "lineno": 101, "nodeid": "io/alsep/core.py::obspy.io.alsep.core._read_pse", "outcome": "passed", "keywords": ["obspy.io.alsep.core._read_pse", "filterwarnings", "core.py", "alsep", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002696998417377472}}, {"call": {"outcome": "passed", "duration": 0.0161530002951622}, "setup": {"outcome": "passed", "duration": 0.0002915002405643463}, "lineno": 268, "nodeid": "io/alsep/core.py::obspy.io.alsep.core._read_wth", "outcome": "passed", "keywords": ["obspy.io.alsep.core._read_wth", "filterwarnings", "core.py", "alsep", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026850029826164246}}, {"call": {"outcome": "passed", "duration": 0.01783519983291626}, "setup": {"outcome": "passed", "duration": 0.00029719993472099304}, "lineno": 178, "nodeid": 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"io/gcf/tests/test_core.py::TestCore::test_write_read", "outcome": "passed", "keywords": ["test_write_read", "filterwarnings", "TestCore", "test_core.py", "tests", "gcf", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029719993472099304}}, {"call": {"outcome": "passed", "duration": 0.010295799933373928}, "setup": {"outcome": "passed", "duration": 0.00046590063720941544}, "lineno": 304, "nodeid": "io/gcf/tests/test_core.py::TestCore::test_split_last_block", "outcome": "passed", "keywords": ["test_split_last_block", "filterwarnings", "TestCore", "test_core.py", "tests", "gcf", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00034029968082904816}}, {"call": {"outcome": "failed", "duration": 0.013029600493609905, "longrepr": "028 behavior of reading the file:\n029 \n030 * ``headonly=True``: Read only the header part, not the actual data\n031 * ``verify_chksum=False``: Do not verify the checksum of the GSE2 file. This is\n032 very useful if the program, which wrote the checksum, calculated it in a\n033 wrong way.\n034 \n035 >>> st #doctest: +ELLIPSIS\n036 \n037 >>> print(st) #doctest: +NORMALIZE_WHITESPACE\nExpected:\n 1 Trace(s) in Stream:\n .RJOB..Z | 2005-08-31T02:33:49.850000Z - 2005-08-31T02:34:49.845000Z\n | 200.0 Hz, 12000 samples\nGot:\n 1 Trace(s) in Stream:\n .RJOB..Z | 2005-08-31T02:33:49.850000Z - 2005-08-31T02:34:49.845000Z | 200.0 Hz, 12000 samples\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\gse2\\__init__.py:37: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007516993209719658}, "lineno": 1, "nodeid": "io/gse2/__init__.py::obspy.io.gse2", "outcome": "failed", "keywords": ["obspy.io.gse2", "filterwarnings", "__init__.py", "gse2", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027849990874528885}}, {"call": {"outcome": "passed", "duration": 0.0353019991889596}, "setup": {"outcome": "passed", "duration": 0.000322599895298481}, "lineno": 1004, "nodeid": "io/gse2/bulletin.py::obspy.io.gse2.bulletin._read_gse2", "outcome": "passed", "keywords": ["obspy.io.gse2.bulletin._read_gse2", "filterwarnings", "bulletin.py", "gse2", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002948995679616928}}, {"call": {"outcome": "passed", "duration": 0.01811560057103634}, "setup": {"outcome": "passed", "duration": 0.00034369993954896927}, "lineno": 131, "nodeid": "io/gse2/core.py::obspy.io.gse2.core._read_gse1", "outcome": "passed", "keywords": ["obspy.io.gse2.core._read_gse1", "filterwarnings", "core.py", "gse2", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027349963784217834}}, {"call": {"outcome": "passed", "duration": 0.012415999546647072}, "setup": {"outcome": "passed", "duration": 0.00029349979013204575}, "lineno": 30, "nodeid": "io/gse2/core.py::obspy.io.gse2.core._read_gse2", "outcome": "passed", "keywords": ["obspy.io.gse2.core._read_gse2", "filterwarnings", "core.py", "gse2", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002701999619603157}}, {"call": {"outcome": "passed", "duration": 0.021578899584710598}, "setup": {"outcome": "passed", "duration": 0.000291300006210804}, "lineno": 71, "nodeid": "io/gse2/core.py::obspy.io.gse2.core._write_gse2", "outcome": "passed", "keywords": ["obspy.io.gse2.core._write_gse2", "filterwarnings", "core.py", "gse2", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00041740015149116516}}, {"call": {"outcome": "failed", "duration": 0.006507500074803829, "longrepr": "467 26-35 Lon f10.5 Longitude (degrees, W is negative)\n468 37-48 Coordsys a12 Reference coordinate system (e.g., WGS-84)\n469 50-54 Elev f5.3 Elevation (km)\n470 56-60 Edepth f5.3 Emplacement depth (km)\n471 \n472 However, many files in practice do not adhere to these defined fixed\n473 positions. Here are some real-world examples:\n474 \n475 >>> l = \"STA2 -999.0000 -999.00000 -.999 -.999\"\n476 >>> for k, v in sorted(parse_sta2(l).items()): # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,6 +1,6 @@\n -coordsys\n +coordsys \n edepth -0.999\n elev -0.999\n lat -999.0\n lon -999.0\n -network\n +network \n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\gse2\\libgse2.py:476: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00036639999598264694}, "lineno": 446, "nodeid": "io/gse2/libgse2.py::obspy.io.gse2.libgse2.parse_sta2", "outcome": "failed", "keywords": ["obspy.io.gse2.libgse2.parse_sta2", "filterwarnings", "libgse2.py", "gse2", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003185998648405075}}, {"call": {"outcome": "passed", "duration": 0.00710699986666441}, "setup": {"outcome": "passed", "duration": 0.0003575999289751053}, "lineno": 93, "nodeid": 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0.00026610027998685837}}, {"call": {"outcome": "passed", "duration": 0.0037807999178767204}, "setup": {"outcome": "passed", "duration": 0.00505949929356575}, "lineno": 57, "nodeid": "io/json/tests/test_json.py::TestJSON::test_write_json", "outcome": "passed", "keywords": ["test_write_json", "filterwarnings", "TestJSON", "test_json.py", "tests", "json", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002780994400382042}}, {"call": {"outcome": "failed", "duration": 0.05125480052083731, "longrepr": "018 \n019 Reading\n020 -------\n021 Similar to reading any other waveform data format using obspy.core:\n022 \n023 >>> from obspy import read\n024 >>> st = read(\"/path/to/BI008_MEMA-04823.evt\", apply_calib=True)\n025 >>> st # doctest: +ELLIPSIS\n026 \n027 >>> print (st) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,7 +1,4 @@\n 3 Trace(s) in Stream:\n -.MEMA..0 | 2013-08-15T09:20:28.000000Z - 2013-08-15T09:20:50.996000Z |\n -250.0 Hz, 5750 samples\n -.MEMA..1 | 2013-08-15T09:20:28.000000Z - 2013-08-15T09:20:50.996000Z |\n -250.0 Hz, 5750 samples\n -.MEMA..2 | 2013-08-15T09:20:28.000000Z - 2013-08-15T09:20:50.996000Z |\n -250.0 Hz, 5750 samples\n +.MEMA..0 | 2013-08-15T09:20:28.000000Z - 2013-08-15T09:20:50.996000Z | 250.0 Hz, 5750 samples\n +.MEMA..1 | 2013-08-15T09:20:28.000000Z - 2013-08-15T09:20:50.996000Z | 250.0 Hz, 5750 samples\n +.MEMA..2 | 2013-08-15T09:20:28.000000Z - 2013-08-15T09:20:50.996000Z | 250.0 Hz, 5750 samples\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\kinemetrics\\__init__.py:27: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007402002811431885}, "lineno": 1, "nodeid": "io/kinemetrics/__init__.py::obspy.io.kinemetrics", "outcome": "failed", "keywords": ["obspy.io.kinemetrics", "filterwarnings", "__init__.py", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00038240011781454086}}, {"call": {"outcome": "passed", "duration": 0.0013457993045449257}, "setup": {"outcome": "passed", "duration": 0.0013079997152090073}, "lineno": 18, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_is_evt", "outcome": "passed", "keywords": ["test_is_evt", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002538999542593956}}, {"call": {"outcome": "passed", "duration": 0.0018763002008199692}, "setup": {"outcome": "passed", "duration": 0.00046319980174303055}, "lineno": 35, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_is_evt_from_bytesio", "outcome": "passed", "keywords": ["test_is_evt_from_bytesio", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00033059995621442795}}, {"call": {"outcome": "passed", "duration": 0.10414630081504583}, "setup": {"outcome": "passed", "duration": 0.0002899998798966408}, "lineno": 61, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_read_via_obspy", "outcome": "passed", "keywords": ["test_read_via_obspy", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027529988437891006}}, {"call": {"outcome": "passed", "duration": 0.151196900755167}, "setup": {"outcome": "passed", "duration": 0.00029900018125772476}, "lineno": 107, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_reading_via_obspy_and_bytesio", "outcome": "passed", "keywords": ["test_reading_via_obspy_and_bytesio", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00028800033032894135}}, {"call": {"outcome": "passed", "duration": 0.0956320995464921}, "setup": {"outcome": "passed", "duration": 0.00030659977346658707}, "lineno": 159, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_read_via_module", "outcome": "passed", "keywords": ["test_read_via_module", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00044679921120405197}}, {"call": {"outcome": "passed", "duration": 0.09293200075626373}, "setup": {"outcome": "passed", "duration": 0.00036530010402202606}, "lineno": 205, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_read_via_module_and_bytesio", "outcome": "passed", "keywords": ["test_read_via_module_and_bytesio", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002672998234629631}}, {"call": {"outcome": "passed", "duration": 0.026823999360203743}, "setup": {"outcome": "passed", "duration": 0.00029120035469532013}, "lineno": 313, "nodeid": "io/kinemetrics/tests/test_core.py::TestCore::test_read_via_module_raw", "outcome": "passed", "keywords": ["test_read_via_module_raw", "filterwarnings", "TestCore", "test_core.py", "tests", "kinemetrics", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000372299924492836}}, {"call": {"outcome": "passed", "duration": 0.07237889990210533}, "setup": {"outcome": "passed", "duration": 0.000748700462281704}, "lineno": 1, "nodeid": "io/kml/__init__.py::obspy.io.kml", "outcome": "passed", "keywords": ["obspy.io.kml", "filterwarnings", "__init__.py", "kml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026880018413066864}}, {"call": {"outcome": "passed", "duration": 0.07591569982469082}, "setup": {"outcome": "passed", "duration": 0.0013439003378152847}, "lineno": 10, "nodeid": "io/kml/tests/test_kml.py::TestKML::test_write_inventory", "outcome": "passed", "keywords": ["test_write_inventory", "filterwarnings", "TestKML", "test_kml.py", "tests", "kml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002717999741435051}}, {"call": {"outcome": "passed", "duration": 0.03943680040538311}, "setup": {"outcome": "passed", "duration": 0.000291300006210804}, "lineno": 27, "nodeid": "io/kml/tests/test_kml.py::TestKML::test_write_catalog", "outcome": "passed", "keywords": ["test_write_catalog", "filterwarnings", "TestKML", "test_kml.py", "tests", "kml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003399001434445381}}, {"call": {"outcome": "failed", "duration": 0.013724099844694138, "longrepr": "044 sampling_rate: 40.0\n045 delta: 0.025\n046 npts: 11947\n047 calib: 1.0\n048 _format: MSEED\n049 mseed: ...\n050 \n051 MiniSEED specific metadata is stored in ``stats.mseed``.\n052 \n053 >>> for k, v in sorted(st[0].stats.mseed.items()):\nDifferences (unified diff with -expected +actual):\n @@ -1,6 +1,6 @@\n - 'byteorder': >\n - 'dataquality': R\n - 'encoding': STEIM2\n - 'filesize': 8192\n - 'number_of_records': 2\n - 'record_length': 4096\n +'byteorder': >\n +'dataquality': R\n +'encoding': STEIM2\n +'filesize': 8192\n +'number_of_records': 2\n +'record_length': 4096\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\mseed\\__init__.py:53: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0008001001551747322}, "lineno": 1, "nodeid": "io/mseed/__init__.py::obspy.io.mseed", "outcome": "failed", "keywords": ["obspy.io.mseed", "filterwarnings", "__init__.py", "mseed", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0004321001470088959}}, {"call": {"outcome": "passed", "duration": 0.0425411993637681}, "setup": {"outcome": "passed", "duration": 0.0004011997953057289}, "lineno": 144, "nodeid": "io/mseed/core.py::obspy.io.mseed.core._read_mseed", "outcome": "passed", "keywords": ["obspy.io.mseed.core._read_mseed", "filterwarnings", "core.py", "mseed", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002798996865749359}}, {"call": {"outcome": "passed", "duration": 0.022509600035846233}, "setup": {"outcome": "passed", "duration": 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"io/mseed/tests/test_mseed_reading_and_writing.py::TestMSEEDReadingAndWriting::test_read_gappy_file", "outcome": "passed", "keywords": ["test_read_gappy_file", "filterwarnings", "TestMSEEDReadingAndWriting", "test_mseed_reading_and_writing.py", "tests", "mseed", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00030350033193826675}}, {"call": {"outcome": "passed", "duration": 2.053888199850917}, "setup": {"outcome": "passed", "duration": 0.0003003999590873718}, "lineno": 99, "nodeid": "io/mseed/tests/test_mseed_reading_and_writing.py::TestMSEEDReadingAndWriting::test_read_and_write_traces", "outcome": "passed", "keywords": ["test_read_and_write_traces", "filterwarnings", "TestMSEEDReadingAndWriting", "test_mseed_reading_and_writing.py", "tests", "mseed", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002642003819346428}}, {"call": {"outcome": "passed", "duration": 0.012092900462448597}, "setup": {"outcome": "passed", "duration": 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{"call": {"outcome": "passed", "duration": 0.0008498001843690872}, "setup": {"outcome": "passed", "duration": 0.000276799313724041}, "lineno": 301, "nodeid": "io/mseed/tests/test_mseed_reading_and_writing.py::TestMSEEDReadingAndWriting::test_read_single_record_to_msr", "outcome": "passed", "keywords": ["test_read_single_record_to_msr", "filterwarnings", "TestMSEEDReadingAndWriting", "test_mseed_reading_and_writing.py", "tests", "mseed", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024010054767131805}}, {"call": {"outcome": "passed", "duration": 0.0020580999553203583}, "setup": {"outcome": "passed", "duration": 0.000273900106549263}, "lineno": 319, "nodeid": "io/mseed/tests/test_mseed_reading_and_writing.py::TestMSEEDReadingAndWriting::test_read_file_via_mseed", "outcome": "passed", "keywords": ["test_read_file_via_mseed", "filterwarnings", "TestMSEEDReadingAndWriting", "test_mseed_reading_and_writing.py", "tests", "mseed", "io", "obspy", ""], "teardown": 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0.0018405001610517502}, "setup": {"outcome": "passed", "duration": 0.0002806996926665306}, "lineno": 303, "nodeid": "io/ndk/tests/test_ndk.py::TestNDK::test_parse_date_time_function", "outcome": "passed", "keywords": ["test_parse_date_time_function", "filterwarnings", "TestNDK", "test_ndk.py", "tests", "ndk", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00032159965485334396}}, {"call": {"outcome": "failed", "duration": 0.019108899869024754, "longrepr": "020 \n021 >>> import obspy\n022 >>> cat = obspy.read_events(\"/path/to/FNETMTCATALOG\")\n023 >>> print(cat)\n024 1 Event(s) in Catalog:\n025 2011-03-11T05:46:18.120000Z | +38.103, +142.861 | 8.7 Mw\n026 \n027 The event will contain a couple of origins and magnitudes.\n028 \n029 >>> print(cat[0]) # doctest: +ELLIPSIS, +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,11 +1,11 @@\n -Event: 2011-03-11T05:46:18.120000Z | +38.103, +142.861 | 8.7 Mw\n +Event:\t2011-03-11T05:46:18.120000Z | +38.103, +142.861 | 8.7 Mw\n \n - resource_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/event\")\n - event_type: 'earthquake'\n - preferred_origin_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/origin#MT\")\n - preferred_magnitude_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/magnitude#MT\")\n - preferred_focal_mechanism_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/focal_mechanism\")\n - ---------\n - focal_mechanisms: 1 Elements\n - origins: 2 Elements\n - magnitudes: 2 Elements\n +\t resource_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/event\")\n +\t event_type: 'earthquake'\n +\t preferred_origin_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/origin#MT\")\n +\t preferred_magnitude_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/magnitude#MT\")\n +\t preferred_focal_mechanism_id: ResourceIdentifier(id=\"smi:local/fnetmt/2011excpds/focal_mechanism\")\n +\t ---------\n +\t focal_mechanisms: 1 Elements\n +\t origins: 2 Elements\n +\t magnitudes: 2 Elements\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\nied\\__init__.py:29: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007611000910401344}, "lineno": 0, "nodeid": "io/nied/__init__.py::obspy.io.nied", "outcome": "failed", "keywords": ["obspy.io.nied", "filterwarnings", "__init__.py", "nied", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00030159950256347656}}, {"call": {"outcome": "passed", "duration": 0.0032239994034171104}, "setup": {"outcome": "passed", "duration": 0.0010830005630850792}, "lineno": 11, "nodeid": "io/nied/tests/test_fnetmt_reading.py::TestFNETMTCatalogReading::test_read_fnetmt_catalog", "outcome": "passed", "keywords": ["test_read_fnetmt_catalog", "filterwarnings", "TestFNETMTCatalogReading", "test_fnetmt_reading.py", "tests", "nied", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002910001203417778}}, {"call": {"outcome": "passed", "duration": 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"duration": 0.00033459998667240143}, "lineno": 2, "nodeid": "io/nied/util.py::obspy.io.nied.util.gen_sc3_id", "outcome": "passed", "keywords": ["obspy.io.nied.util.gen_sc3_id", "filterwarnings", "util.py", "nied", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027380045503377914}}, {"call": {"outcome": "failed", "duration": 0.02520839963108301, "longrepr": "020 Hypocenter-Phase file into an ObsPy :class:`~obspy.core.event.Catalog` object:\n021 \n022 >>> from obspy import read_events\n023 >>> cat = read_events(\"/path/to/nlloc.hyp\")\n024 >>> print(cat)\n025 1 Event(s) in Catalog:\n026 2006-07-15T17:21:20.195670Z | +51.658, +7.737\n027 \n028 >>> event = cat[0]\n029 >>> print(event) # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,11 +1,9 @@\n -Event: 2006-07-15T17:21:20.195670Z | +51.658, +7.737\n +Event:\t2006-07-15T17:21:20.195670Z | +51.658, +7.737\n \n - resource_id: ResourceIdentifier(id=\"smi:local/...\")\n - creation_info: CreationInfo(author='Claudio Satriano',\n - creation_time=UTCDateTime(2013, 6, 21, ...),\n - version='NLLoc:v6.02.07')\n - preferred_origin_id: ResourceIdentifier(id=\"smi:local/...\")\n - ---------\n - comments: 1 Elements\n - picks: 5 Elements\n - origins: 1 Elements\n +\t resource_id: ResourceIdentifier(id=\"smi:local/6036c075-a577-4fcb-9007-305f79187c2e\")\n +\t creation_info: CreationInfo(author='Claudio Satriano', creation_time=UTCDateTime(2013, 6, 21, 12, 53, 34), version='NLLoc:v6.02.07')\n +\t preferred_origin_id: ResourceIdentifier(id=\"smi:local/a56503ae-9b7f-48fd-8962-995a83cd2af8\")\n +\t ---------\n +\t comments: 1 Elements\n +\t picks: 5 Elements\n +\t origins: 1 Elements\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\nlloc\\__init__.py:29: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007420992478728294}, "lineno": 2, "nodeid": "io/nlloc/__init__.py::obspy.io.nlloc", "outcome": 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"io/quakeml/tests/test_quakeml.py::TestQuakeML::test_native_namespace_in_extra", "outcome": "passed", "keywords": ["test_native_namespace_in_extra", "filterwarnings", "TestQuakeML", "test_quakeml.py", "tests", "quakeml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00030449964106082916}}, {"call": {"outcome": "failed", "duration": 0.02874210011214018, "longrepr": "062 BW.KW1..EHN | 2015-10-09T22:51:05.925000Z - ... | 200.0 Hz, 768 samples\n063 BW.KW1..EHN | 2015-10-09T22:51:10.765000Z - ... | 200.0 Hz, 2925 samples\n064 BW.KW1..EHZ | 2015-10-09T22:50:51.000000Z - ... | 200.0 Hz, 3165 samples\n065 BW.KW1..EHZ | 2015-10-09T22:51:06.215000Z - ... | 200.0 Hz, 892 samples\n066 BW.KW1..EHZ | 2015-10-09T22:51:11.675000Z - ... | 200.0 Hz, 2743 samples\n067 \n068 Reftek 130 specific metadata (from event header packet) is stored\n069 in ``stats.reftek130``.\n070 \n071 >>> print(st[0].stats) # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,5 +1,5 @@\n network: BW\n station: KW1\n - location:\n + location: \n channel: EHE\n starttime: 2015-10-09T22:50:51.000000Z\n @@ -10,3 +10,3 @@\n calib: 1.0\n _format: REFTEK130\n - reftek130: ...\n + reftek130: AttribDict({'trigger_time_message': 'Trigger Time = 2015282225051000\\r\\n', 'time_source': '1', 'time_quality': '?', 'station_name_extension': ' ', 'station_name': 'KW1 ', 'stream_name': 'EH ', '_reserved_2': ' ', 'sampling_rate': 200.0, 'trigger_type': 'CON ', 'trigger_time': 1444431051000000000, 'first_sample_time': 1444431051000000000, 'detrigger_time': None, 'last_sample_time': None, 'channel_adjusted_nominal_bit_weights': ('104.2 mV', '104.2 mV', '104.2 mV', None, None, None, None, None, None, None, None, None, None, None, None, None), 'channel_true_bit_weights': ('1.585 uV', '1.587 uV', '1.587 uV', None, None, None, None, None, None, None, None, None, None, None, None, None), 'channel_gain_code': ('1', '1', '1', None, None, None, None, None, 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"TestReadRG16Headers", "test_read_rg16.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025060027837753296}}, {"call": {"outcome": "passed", "duration": 0.0005553998053073883}, "setup": {"outcome": "passed", "duration": 0.00031740032136440277}, "lineno": 452, "nodeid": "io/rg16/tests/test_read_rg16.py::TestReadRG16Headers::test_read_extended_header_1", "outcome": "passed", "keywords": ["test_read_extended_header_1", "filterwarnings", "TestReadRG16Headers", "test_read_rg16.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002492005005478859}}, {"call": {"outcome": "passed", "duration": 0.0004982007667422295}, "setup": {"outcome": "passed", "duration": 0.0003285994753241539}, "lineno": 466, "nodeid": "io/rg16/tests/test_read_rg16.py::TestReadRG16Headers::test_read_extended_header_2", "outcome": "passed", "keywords": ["test_read_extended_header_2", "filterwarnings", "TestReadRG16Headers", "test_read_rg16.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002500005066394806}}, {"call": {"outcome": "passed", "duration": 0.0003412999212741852}, "setup": {"outcome": "passed", "duration": 0.0003185998648405075}, "lineno": 486, "nodeid": "io/rg16/tests/test_read_rg16.py::TestReadRG16Headers::test_read_extended_header_3", "outcome": "passed", "keywords": ["test_read_extended_header_3", "filterwarnings", "TestReadRG16Headers", "test_read_rg16.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002501998096704483}}, {"call": {"outcome": "passed", "duration": 0.0007899003103375435}, "setup": {"outcome": "passed", "duration": 0.0003181006759405136}, "lineno": 502, "nodeid": "io/rg16/tests/test_read_rg16.py::TestReadRG16Headers::test_bad_alias_filter", "outcome": "passed", "keywords": ["test_bad_alias_filter", "filterwarnings", "TestReadRG16Headers", "test_read_rg16.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024980027228593826}}, {"call": {"outcome": "passed", "duration": 0.0019645001739263535}, "setup": {"outcome": "passed", "duration": 0.00031480006873607635}, "lineno": 512, "nodeid": "io/rg16/tests/test_read_rg16.py::TestReadRG16Headers::test_3_channel_header", "outcome": "passed", "keywords": ["test_3_channel_header", "filterwarnings", "TestReadRG16Headers", "test_read_rg16.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0004843994975090027}}, {"call": {"outcome": "passed", "duration": 0.0006046006456017494}, "setup": {"outcome": "passed", "duration": 0.0002820994704961777}, "lineno": 17, "nodeid": "io/rg16/tests/test_util.py::TestRG16Util::test_read_bcd", "outcome": "passed", "keywords": ["test_read_bcd", "filterwarnings", "TestRG16Util", "test_util.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00023799948394298553}}, {"call": {"outcome": "passed", "duration": 0.0003770999610424042}, "setup": {"outcome": "passed", "duration": 0.00032770074903964996}, "lineno": 30, "nodeid": "io/rg16/tests/test_util.py::TestRG16Util::test_read_binary", "outcome": "passed", "keywords": ["test_read_binary", "filterwarnings", "TestRG16Util", "test_util.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002430994063615799}}, {"call": {"outcome": "passed", "duration": 0.0002397000789642334}, "setup": {"outcome": "passed", "duration": 0.0002636006101965904}, "lineno": 44, "nodeid": "io/rg16/tests/test_util.py::TestRG16Util::test_read", "outcome": "passed", "keywords": ["test_read", "filterwarnings", "TestRG16Util", "test_util.py", "tests", "rg16", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0003251992166042328}}, {"call": {"outcome": "failed", "duration": 0.017252699472010136, "longrepr": "032 \n033 The format will be determined automatically. As SAC-files can contain only one\n034 data trace (as opposed to Mini-SEED or GSE2), the length of 'st' will be one.\n035 'st[0]' will have a stats attribute containing the essential meta data (station\n036 name, channel, location, start time, end time, sampling rate, number of\n037 points). Additionally, when reading a SAC-file it will have one additional\n038 attribute, 'sac', which contains all SAC-specific attributes (SAC header\n039 values).\n040 \n041 >>> print(st[0].stats) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,5 +1,5 @@\n - network:\n + network: \n station: STA\n - location:\n + location: \n channel: Q\n starttime: 1978-07-18T08:00:10.000000Z\n @@ -10,3 +10,3 @@\n calib: 1.0\n _format: SAC\n - sac: AttribDict({...})\n + sac: AttribDict({'delta': 1.0, 'depmin': -1.0, 'depmax': 1.0, 'scale': -12345.0, 'odelta': -12345.0, 'b': 10.0, 'e': 109.0, 'o': -12345.0, 'a': -12345.0, 'internal0': -12345.0, 't0': -12345.0, 't1': -12345.0, 't2': -12345.0, 't3': -12345.0, 't4': -12345.0, 't5': -12345.0, 't6': -12345.0, 't7': -12345.0, 't8': -12345.0, 't9': -12345.0, 'f': -12345.0, 'resp0': -12345.0, 'resp1': -12345.0, 'resp2': -12345.0, 'resp3': -12345.0, 'resp4': -12345.0, 'resp5': -12345.0, 'resp6': -12345.0, 'resp7': -12345.0, 'resp8': -12345.0, 'resp9': -12345.0, 'stla': -12345.0, 'stlo': -12345.0, 'stel': -12345.0, 'stdp': -12345.0, 'evla': -12345.0, 'evlo': -12345.0, 'evel': -12345.0, 'evdp': -12345.0, 'mag': -12345.0, 'user0': -12345.0, 'user1': -12345.0, 'user2': -12345.0, 'user3': -12345.0, 'user4': -12345.0, 'user5': -12345.0, 'user6': -12345.0, 'user7': -12345.0, 'user8': -12345.0, 'user9': -12345.0, 'dist': -12345.0, 'az': -12345.0, 'baz': -12345.0, 'gcarc': -12345.0, 'internal1': -12345.0, 'internal2': -12345.0, 'depmen': 8.3446501e-08, 'cmpaz': -12345.0, 'cmpinc': -12345.0, 'xminimum': -12345.0, 'xmaximum': -12345.0, 'yminimum': -12345.0, 'ymaximum': -12345.0, 'unused6': -12345.0, 'unused7': -12345.0, 'unused8': -12345.0, 'unused9': -12345.0, 'unused10': -12345.0, 'unused11': -12345.0, 'unused12': -12345.0, 'nzyear': 1978, 'nzjday': 199, 'nzhour': 8, 'nzmin': 0, 'nzsec': 0, 'nzmsec': 0, 'nvhdr': 6, 'norid': -12345, 'nevid': -12345, 'npts': 100, 'internal3': -12345, 'nwfid': -12345, 'nxsize': -12345, 'nysize': -12345, 'unused13': -12345, 'iftype': 1, 'idep': -12345, 'iztype': -12345, 'unused14': -12345, 'iinst': -12345, 'istreg': -12345, 'ievreg': -12345, 'ievtyp': -12345, 'iqual': -12345, 'isynth': -12345, 'imagtyp': -12345, 'imagsrc': -12345, 'unused15': -12345, 'unused16': -12345, 'unused17': -12345, 'unused18': -12345, 'unused19': -12345, 'unused20': -12345, 'unused21': -12345, 'unused22': -12345, 'leven': 1, 'lpspol': 0, 'lovrok': 1, 'lcalda': 1, 'unused23': 0, 'kstnm': 'STA ', 'kevnm': 'FUNCGEN: SINE ', 'khole': '-12345 ', 'ko': '-12345 ', 'ka': '-12345 ', 'kt0': '-12345 ', 'kt1': '-12345 ', 'kt2': '-12345 ', 'kt3': '-12345 ', 'kt4': '-12345 ', 'kt5': '-12345 ', 'kt6': '-12345 ', 'kt7': '-12345 ', 'kt8': '-12345 ', 'kt9': '-12345 ', 'kf': '-12345 ', 'kuser0': '-12345 ', 'kuser1': '-12345 ', 'kuser2': '-12345 ', 'kcmpnm': 'Q ', 'knetwk': '-12345 ', 'kdatrd': '-12345 ', 'kinst': '-12345 '})\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\sac\\__init__.py:41: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0010190000757575035}, "lineno": 1, "nodeid": "io/sac/__init__.py::obspy.io.sac", "outcome": "failed", "keywords": ["obspy.io.sac", "filterwarnings", "__init__.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000270000658929348}}, {"call": {"outcome": "passed", "duration": 0.016666200011968613}, "setup": {"outcome": "passed", "duration": 0.000314599834382534}, "lineno": 208, "nodeid": "io/sac/core.py::obspy.io.sac.core._internal_read_sac_xy", "outcome": "passed", "keywords": ["obspy.io.sac.core._internal_read_sac_xy", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00033499952405691147}}, {"call": {"outcome": "passed", "duration": 0.01973909977823496}, "setup": {"outcome": "passed", "duration": 0.0002907002344727516}, "lineno": 21, "nodeid": "io/sac/core.py::obspy.io.sac.core._is_sac", "outcome": "passed", "keywords": ["obspy.io.sac.core._is_sac", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002680998295545578}}, {"call": {"outcome": "passed", "duration": 0.021259600296616554}, "setup": {"outcome": "passed", "duration": 0.0002868007868528366}, "lineno": 114, "nodeid": "io/sac/core.py::obspy.io.sac.core._is_sac_xy", "outcome": "passed", "keywords": ["obspy.io.sac.core._is_sac_xy", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026480015367269516}}, {"call": {"outcome": "passed", "duration": 0.015578099526464939}, "setup": {"outcome": "passed", "duration": 0.00028460007160902023}, "lineno": 307, "nodeid": "io/sac/core.py::obspy.io.sac.core._read_sac", "outcome": "passed", "keywords": ["obspy.io.sac.core._read_sac", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00032220035791397095}}, {"call": {"outcome": "passed", "duration": 0.0157170994207263}, "setup": {"outcome": "passed", "duration": 0.0004142001271247864}, "lineno": 170, "nodeid": "io/sac/core.py::obspy.io.sac.core._read_sac_xy", "outcome": "passed", "keywords": ["obspy.io.sac.core._read_sac_xy", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.000263899564743042}}, {"call": {"outcome": "passed", "duration": 0.019601300358772278}, "setup": {"outcome": "passed", "duration": 0.00028590019792318344}, "lineno": 399, "nodeid": "io/sac/core.py::obspy.io.sac.core._write_sac", "outcome": "passed", "keywords": ["obspy.io.sac.core._write_sac", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00046369992196559906}}, {"call": {"outcome": "passed", "duration": 0.019223599694669247}, "setup": {"outcome": "passed", "duration": 0.0003879005089402199}, "lineno": 243, "nodeid": "io/sac/core.py::obspy.io.sac.core._write_sac_xy", "outcome": "passed", "keywords": ["obspy.io.sac.core._write_sac_xy", "filterwarnings", "core.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026750005781650543}}, {"call": {"outcome": "passed", "duration": 0.005603799596428871}, "setup": {"outcome": "passed", "duration": 0.0003134002909064293}, "lineno": 122, "nodeid": "io/sac/sacpz.py::obspy.io.sac.sacpz.attach_paz", "outcome": "passed", "keywords": ["obspy.io.sac.sacpz.attach_paz", "filterwarnings", "sacpz.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002391999587416649}}, {"call": {"outcome": "failed", "duration": 0.007369800470769405, "longrepr": "321 >>> for k in sorted(tr.stats.paz): # doctest: +NORMALIZE_WHITESPACE\n322 ... print(k)\n323 digitizer_gain\n324 gain\n325 poles\n326 seismometer_gain\n327 sensitivity\n328 t_shift\n329 zeros\n330 >>> print(tr.stats.paz.poles) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nExpected:\n [(-0.15931...+0.15931...j), (-0.15931...-0.15931...j),\n (-314.159...+202.318...j), (-314.159...-202.318...j)]\nGot:\n [(-0.1593164466488456+0.1593164466488456j), (-0.1593164466488456-0.1593164466488456j), (-314.1592653589793+202.31856689118268j), (-314.1592653589793-202.31856689118268j)]\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\sac\\sacpz.py:330: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0002752002328634262}, "lineno": 295, "nodeid": "io/sac/sacpz.py::obspy.io.sac.sacpz.attach_resp", "outcome": "failed", "keywords": ["obspy.io.sac.sacpz.attach_resp", "filterwarnings", "sacpz.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002688998356461525}}, {"call": {"outcome": "failed", "duration": 0.0060259997844696045, "longrepr": "070 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n071 \n072 .. rubric:: Example\n073 \n074 >>> header = {'kstnm': 'ANMO', 'kcmpnm': 'BHZ', 'stla': 40.5, 'stlo': -108.23,\n075 ... 'evla': -15.123, 'evlo': 123, 'evdp': 50, 'nzyear': 2012,\n076 ... 'nzjday': 123, 'nzhour': 13, 'nzmin': 43, 'nzsec': 17,\n077 ... 'nzmsec': 100, 'delta': 1.0/40}\n078 >>> sac = SACTrace(data=np.random.random(100), **header)\n079 >>> print(sac) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,9 +1,9 @@\n Reference Time = 05/02/2012 (123) 13:43:17.100000\n - iztype IB: begin time\n +\tiztype IB: begin time\n b = 0.0\n -delta = 0.0250000...\n -e = 2.4750000...\n +delta = 0.02500000037252903\n +e = 2.475000036880374\n evdp = 50.0\n -evla = -15.123000...\n +evla = -15.123000144958496\n evlo = 123.0\n iftype = itime\n @@ -25,3 +25,3 @@\n nzyear = 2012\n stla = 40.5\n -stlo = -108.23000...\n +stlo = -108.2300033569336\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\sac\\sactrace.py:79: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00032870005816221237}, "lineno": 1, "nodeid": "io/sac/sactrace.py::obspy.io.sac.sactrace", "outcome": "failed", "keywords": ["obspy.io.sac.sactrace", "filterwarnings", "sactrace.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024640001356601715}}, {"call": {"outcome": "failed", "duration": 0.005765199661254883, "longrepr": "828 \n829 Initialize a SACTrace object using header key-value pairs and a\n830 numpy.ndarray for the data, both optional.\n831 \n832 ..rubric:: Example\n833 \n834 >>> sac = SACTrace(nzyear=1995, nzmsec=50, data=np.arange(100))\n835 >>> print(sac) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,4 +1,4 @@\n Reference Time = 01/01/1995 (001) 00:00:00.050000\n - iztype IB: begin time\n +\tiztype IB: begin time\n b = 0.0\n delta = 1.0\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\sac\\sactrace.py:835: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.00027660001069307327}, "lineno": 827, "nodeid": "io/sac/sactrace.py::obspy.io.sac.sactrace.SACTrace.__init__", "outcome": "failed", "keywords": ["obspy.io.sac.sactrace.SACTrace.__init__", "filterwarnings", "sactrace.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026849936693906784}}, {"call": {"outcome": "passed", "duration": 0.014573399908840656}, "setup": {"outcome": "passed", "duration": 0.0002886001020669937}, "lineno": 1500, "nodeid": "io/sac/sactrace.py::obspy.io.sac.sactrace.SACTrace._allt", "outcome": "passed", "keywords": ["obspy.io.sac.sactrace.SACTrace._allt", "filterwarnings", "sactrace.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00030029937624931335}}, {"call": {"outcome": "passed", "duration": 0.005441600456833839}, "setup": {"outcome": "passed", "duration": 0.0002976004034280777}, "lineno": 1145, "nodeid": "io/sac/sactrace.py::obspy.io.sac.sactrace.SACTrace._from_arrays", "outcome": "passed", "keywords": ["obspy.io.sac.sactrace.SACTrace._from_arrays", "filterwarnings", "sactrace.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002462994307279587}}, {"call": {"outcome": "failed", "duration": 0.01350919995456934, "longrepr": "1424 'picks' prints fields which are used to define time picks.\n1425 \n1426 An iterable of header fields can look like 'bea' or ('b', 'e', 'a').\n1427 \n1428 .. rubric:: Example\n1429 \n1430 >>> from obspy.core.util import get_example_file\n1431 >>> file_ = get_example_file(\"LMOW.BHE.SAC\")\n1432 >>> sac = SACTrace.read(file_)\n1433 >>> sac.lh() # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,11 +1,11 @@\n Reference Time = 04/10/2001 (100) 00:23:00.465000\n - iztype IB: begin time\n +\tiztype IB: begin time\n a = 0.0\n b = 0.0\n -delta = 0.009999999...\n -depmax = 0.003305610...\n -depmen = 0.00243799...\n -depmin = 0.00148824...\n -e = 0.98999997...\n +delta = 0.009999999776482582\n +depmax = 0.0033056100364774466\n +depmen = 0.0024379948154091835\n +depmin = 0.0014882400864735246\n +e = 0.9899999778717756\n iftype = itime\n iztype = ib\n @@ -26,5 +26,5 @@\n nzsec = 0\n nzyear = 2001\n -stla = -39.409999...\n +stla = -39.40999984741211\n stlo = 175.75\n unused23 = 0\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\sac\\sactrace.py:1433: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0002798996865749359}, "lineno": 1413, "nodeid": "io/sac/sactrace.py::obspy.io.sac.sactrace.SACTrace.listhdr", "outcome": "failed", "keywords": ["obspy.io.sac.sactrace.SACTrace.listhdr", "filterwarnings", "sactrace.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00025200005620718}}, {"call": {"outcome": "passed", "duration": 0.015140499919652939}, "setup": {"outcome": "passed", "duration": 0.0002808002755045891}, "lineno": 1032, "nodeid": "io/sac/sactrace.py::obspy.io.sac.sactrace.SACTrace.read", "outcome": "passed", "keywords": ["obspy.io.sac.sactrace.SACTrace.read", "filterwarnings", "sactrace.py", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002608001232147217}}, {"call": {"outcome": "passed", "duration": 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"teardown": {"outcome": "passed", "duration": 0.00028670020401477814}}, {"call": {"outcome": "passed", "duration": 0.0008650999516248703}, "setup": {"outcome": "passed", "duration": 0.0003664996474981308}, "lineno": 351, "nodeid": "io/sac/tests/test_sactrace.py::TestSACTrace::test_string_headers", "outcome": "passed", "keywords": ["test_string_headers", "filterwarnings", "TestSACTrace", "test_sactrace.py", "tests", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002578999847173691}}, {"call": {"outcome": "passed", "duration": 0.00032289978116750717}, "setup": {"outcome": "passed", "duration": 0.00033930037170648575}, "lineno": 385, "nodeid": "io/sac/tests/test_sactrace.py::TestSACTrace::test_kevnm", "outcome": "passed", "keywords": ["test_kevnm", "filterwarnings", "TestSACTrace", "test_sactrace.py", "tests", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002546999603509903}}, {"call": {"outcome": "passed", "duration": 0.0005427999421954155}, "setup": {"outcome": "passed", "duration": 0.0003321003168821335}, "lineno": 402, "nodeid": "io/sac/tests/test_sactrace.py::TestSACTrace::test_data_headers", "outcome": "passed", "keywords": ["test_data_headers", "filterwarnings", "TestSACTrace", "test_sactrace.py", "tests", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00023610051721334457}}, {"call": {"outcome": "passed", "duration": 0.0003994004800915718}, "setup": {"outcome": "passed", "duration": 0.0003266995772719383}, "lineno": 430, "nodeid": "io/sac/tests/test_sactrace.py::TestSACTrace::test_char_header_padding", "outcome": "passed", "keywords": ["test_char_header_padding", "filterwarnings", "TestSACTrace", "test_sactrace.py", "tests", "sac", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0004537999629974365}}, {"call": {"outcome": "failed", "duration": 0.02701050043106079, "longrepr": "020 \n021 >>> import obspy\n022 >>> cat = obspy.read_events(\"/path/to/test.scardec\")\n023 >>> print(cat)\n024 1 Event(s) in Catalog:\n025 2014-01-25T05:14:18.000000Z | -7.985, +109.265 | 6.20 mw\n026 \n027 The event will contain one origins with a moment rate function.\n028 \n029 >>> print(cat[0]) # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,13 +1,13 @@\n -Event: 2014-01-25T05:14:18.000000Z | -7.985, +109.265 | 6.20 mw\n +Event:\t2014-01-25T05:14:18.000000Z | -7.985, +109.265 | 6.20 mw\n \n - resource_id: ResourceIdentifier(id=\"...\")\n - event_type: 'earthquake'\n - preferred_origin_id: ResourceIdentifier(id=\"...\")\n - preferred_magnitude_id: ResourceIdentifier(id=\"...\")\n - preferred_focal_mechanism_id: ResourceIdentifier(id=\"...\")\n - ---------\n - event_descriptions: 1 Elements\n - comments: 1 Elements\n - focal_mechanisms: 1 Elements\n - origins: 1 Elements\n - magnitudes: 1 Elements\n +\t resource_id: ResourceIdentifier(id=\"smi:local/scardec/SCARDEC_event/event\")\n +\t event_type: 'earthquake'\n +\t preferred_origin_id: ResourceIdentifier(id=\"smi:local/scardec/SCARDEC_event/origin#cmt\")\n +\t preferred_magnitude_id: ResourceIdentifier(id=\"smi:local/scardec/SCARDEC_event/magnitude#mw\")\n +\t preferred_focal_mechanism_id: ResourceIdentifier(id=\"smi:local/scardec/SCARDEC_event/focal_mechanism\")\n +\t ---------\n +\t event_descriptions: 1 Elements\n +\t comments: 1 Elements\n +\t focal_mechanisms: 1 Elements\n +\t origins: 1 Elements\n +\t magnitudes: 1 Elements\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\scardec\\__init__.py:29: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0009235003963112831}, "lineno": 2, "nodeid": "io/scardec/__init__.py::obspy.io.scardec", "outcome": "failed", "keywords": ["obspy.io.scardec", "filterwarnings", "__init__.py", "scardec", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002740994095802307}}, 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samples\n032 \n033 The file format will be determined automatically. 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.TEST..BHN | 2009-10-01T12:46:01.000000Z - ... | 20.0 Hz, 801 samples\n029 .TEST..BHE | 2009-10-01T12:46:01.000000Z - ... | 20.0 Hz, 801 samples\n030 .WET..HHZ | 2010-01-01T01:01:05.999000Z - ... | 100.0 Hz, 4001 samples\n031 \n032 The file format will be determined automatically. Each trace (multiple channels\n033 are mapped to multiple traces) will have a stats attribute containing the usual\n034 information.\n035 \n036 >>> print(st[0].stats) #doctest: +NORMALIZE_WHITESPACE +ELLIPSIS\nDifferences (unified diff with -expected +actual):\n @@ -1,12 +1,12 @@\n - network:\n - station: TEST\n - location:\n - channel: BHN\n - starttime: 2009-10-01T12:46:01.000000Z\n - endtime: 2009-10-01T12:46:41.000000Z\n - sampling_rate: 20.0\n - delta: 0.05\n - npts: 801\n - calib: 1.5\n - _format: SH_ASC\n - sh: AttribDict({...})\n + network: \n + station: TEST\n + location: \n + channel: BHN\n + starttime: 2009-10-01T12:46:01.000000Z\n + endtime: 2009-10-01T12:46:41.000000Z\n + sampling_rate: 20.0\n + delta: 0.05\n + npts: 801\n + calib: 1.5\n + _format: SH_ASC\n + sh: AttribDict({'COMMENT': 'TEST TRACE IN QFILE #1'})\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\sh\\__init__.py:36: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007729008793830872}, 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"stationxml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00029220059514045715}}, {"call": {"outcome": "passed", "duration": 0.003178299404680729}, "setup": {"outcome": "passed", "duration": 0.0003005005419254303}, "lineno": 1094, "nodeid": "io/stationxml/tests/test_stationxml.py::TestStationXML::test_reading_channel_without_coordinates", "outcome": "passed", "keywords": ["test_reading_channel_without_coordinates", "filterwarnings", "TestStationXML", "test_stationxml.py", "tests", "stationxml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002654995769262314}}, {"call": {"outcome": "passed", "duration": 0.119930200278759}, "setup": {"outcome": "passed", "duration": 0.00028110016137361526}, "lineno": 1117, "nodeid": "io/stationxml/tests/test_stationxml.py::TestStationXML::test_units_during_identity_stage", "outcome": "passed", "keywords": ["test_units_during_identity_stage", "filterwarnings", "TestStationXML", "test_stationxml.py", "tests", "stationxml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027980003505945206}}, {"call": {"outcome": "passed", "duration": 0.044902900233864784}, "setup": {"outcome": "passed", "duration": 0.00029999949038028717}, "lineno": 1198, "nodeid": "io/stationxml/tests/test_stationxml.py::TestStationXML::test_reading_full_stationxml_1_0_file", "outcome": "passed", "keywords": ["test_reading_full_stationxml_1_0_file", "filterwarnings", "TestStationXML", "test_stationxml.py", "tests", "stationxml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002669999375939369}}, {"call": {"outcome": "passed", "duration": 0.008249800652265549}, "setup": {"outcome": "passed", "duration": 0.00029530003666877747}, "lineno": 1210, "nodeid": "io/stationxml/tests/test_stationxml.py::TestStationXML::test_read_with_level", "outcome": "passed", "keywords": ["test_read_with_level", "filterwarnings", "TestStationXML", "test_stationxml.py", "tests", "stationxml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0005430001765489578}}, {"call": {"outcome": "passed", "duration": 0.003239499405026436}, "setup": {"outcome": "passed", "duration": 0.00048300065100193024}, "lineno": 1245, "nodeid": "io/stationxml/tests/test_stationxml.py::TestStationXML::test_read_basic_responsestage_with_decimation", "outcome": "passed", "keywords": ["test_read_basic_responsestage_with_decimation", "filterwarnings", "TestStationXML", "test_stationxml.py", "tests", "stationxml", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0005399007350206375}}, {"call": {"outcome": "failed", "duration": 0.02200749982148409, "longrepr": "014 Reading\n015 -------\n016 Importing WAV files is done similar to reading any other waveform data\n017 format within ObsPy by using the :func:`~obspy.core.stream.read()` method of\n018 the :mod:`obspy.core` module. Examples seismograms files may be found at\n019 https://examples.obspy.org.\n020 \n021 >>> from obspy import read\n022 >>> st = read(\"/path/to/3cssan.near.8.1.RNON.wav\")\n023 >>> print(st) #doctest: +NORMALIZE_WHITESPACE\nExpected:\n 1 Trace(s) in Stream:\n ... | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:00.371143Z\n | 7000.0 Hz, 2599 samples\nGot:\n 1 Trace(s) in Stream:\n ... | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:00.371143Z | 7000.0 Hz, 2599 samples\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\wav\\__init__.py:23: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0008050994947552681}, "lineno": 0, "nodeid": "io/wav/__init__.py::obspy.io.wav", "outcome": "failed", "keywords": ["obspy.io.wav", "filterwarnings", "__init__.py", "wav", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026350002735853195}}, {"call": {"outcome": "skipped", "duration": 0.00031419936567544937, "longrepr": "('C:\\\\Users\\\\tlecocq\\\\miniconda3\\\\envs\\\\py312\\\\Lib\\\\site-packages\\\\_pytest\\\\doctest.py', 458, 'Skipped: all tests skipped by +SKIP option')"}, "setup": {"outcome": "passed", "duration": 0.0003984002396464348}, "lineno": 37, "nodeid": "io/wav/core.py::obspy.io.wav.core._is_wav", "outcome": "skipped", "keywords": ["obspy.io.wav.core._is_wav", "filterwarnings", "core.py", "wav", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00023830030113458633}}, {"call": {"outcome": "failed", "duration": 0.021124400198459625, "longrepr": "076 :type filename: str\n077 :param filename: Audio WAV file to be read.\n078 :rtype: :class:`~obspy.core.stream.Stream`\n079 :return: A ObsPy Stream object.\n080 \n081 .. rubric:: Example\n082 \n083 >>> from obspy import read\n084 >>> st = read(\"/path/to/3cssan.near.8.1.RNON.wav\")\n085 >>> print(st) #doctest: +NORMALIZE_WHITESPACE\nExpected:\n 1 Trace(s) in Stream:\n ... | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:00.371143Z\n | 7000.0 Hz, 2599 samples\nGot:\n 1 Trace(s) in Stream:\n ... | 1970-01-01T00:00:00.000000Z - 1970-01-01T00:00:00.371143Z | 7000.0 Hz, 2599 samples\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\io\\wav\\core.py:85: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0002982998266816139}, "lineno": 65, "nodeid": "io/wav/core.py::obspy.io.wav.core._read_wav", "outcome": "failed", "keywords": ["obspy.io.wav.core._read_wav", "filterwarnings", "core.py", "wav", "io", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00027060043066740036}}, {"call": {"outcome": "passed", "duration": 0.00475580058991909}, "setup": {"outcome": "passed", "duration": 0.0012405002489686012}, "lineno": 23, "nodeid": "io/wav/tests/test_core.py::TestCore::test_read_via_obspy", "outcome": "passed", "keywords": ["test_read_via_obspy", "filterwarnings", "TestCore", "test_core.py", "tests", "wav", "io", "obspy", ""], "teardown": {"outcome": "passed", 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"('C:\\\\Users\\\\tlecocq\\\\miniconda3\\\\envs\\\\py312\\\\Lib\\\\site-packages\\\\_pytest\\\\doctest.py', 458, 'Skipped: all tests skipped by +SKIP option')"}, "setup": {"outcome": "passed", "duration": 0.0003476003184914589}, "lineno": 54, "nodeid": "signal/quality_control.py::obspy.signal.quality_control.MSEEDMetadata", "outcome": "skipped", "keywords": ["obspy.signal.quality_control.MSEEDMetadata", "filterwarnings", "quality_control.py", "signal", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.0002389000728726387}}, {"call": {"outcome": "failed", "duration": 0.007053599692881107, "longrepr": "175 \n176 :rtype: tuple(:class:`numpy.ndarray`, :class:`numpy.ndarray`,\n177 :class:`numpy.ndarray`)\n178 :returns: The three rotated components, oriented in Z, N, and E if\n179 `inverse` is `False`. 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"duration": 0.0004187999293208122}, "lineno": 93, "nodeid": "signal/util.py::obspy.signal.util.prev_pow_2", "outcome": "passed", "keywords": ["obspy.signal.util.prev_pow_2", "filterwarnings", "util.py", "signal", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00026480015367269516}}, {"call": {"outcome": "passed", "duration": 0.005549900233745575}, "setup": {"outcome": "passed", "duration": 0.0003056991845369339}, "lineno": 22, "nodeid": "signal/util.py::obspy.signal.util.util_geo_km", "outcome": "passed", "keywords": ["obspy.signal.util.util_geo_km", "filterwarnings", "util.py", "signal", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00024749990552663803}}, {"call": {"outcome": "passed", "duration": 0.005770799703896046}, "setup": {"outcome": "passed", "duration": 0.00029669981449842453}, "lineno": 49, "nodeid": "signal/util.py::obspy.signal.util.util_lon_lat", "outcome": "passed", "keywords": ["obspy.signal.util.util_lon_lat", "filterwarnings", "util.py", "signal", "obspy", ""], "teardown": {"outcome": "passed", "duration": 0.00044899992644786835}}, {"call": {"outcome": "failed", "duration": 0.24114409927278757, "longrepr": "050 Travel Times\n051 ^^^^^^^^^^^^\n052 The models' main method is the\n053 :meth:`~obspy.taup.tau.TauPyModel.get_travel_times` method; as the name\n054 suggests it returns travel times for the chosen phases, distance, source depth,\n055 and model. By default it returns arrivals for a number of phases.\n056 \n057 >>> arrivals = model.get_travel_times(source_depth_in_km=55,\n058 ... distance_in_degree=67)\n059 >>> print(arrivals) # doctest: +NORMALIZE_WHITESPACE\nDifferences (unified diff with -expected +actual):\n @@ -1,29 +1,29 @@\n 28 arrivals\n - P phase arrival at 647.041 seconds\n - pP phase arrival at 662.233 seconds\n - sP phase arrival at 668.704 seconds\n - PcP phase arrival at 674.865 seconds\n - PP phase arrival at 794.992 seconds\n - PKiKP phase arrival at 1034.098 seconds\n - pPKiKP phase arrival at 1050.528 seconds\n - sPKiKP phase arrival at 1056.721 seconds\n - S phase arrival at 1176.948 seconds\n - pS phase arrival at 1195.508 seconds\n - SP phase arrival at 1196.830 seconds\n - sS phase arrival at 1203.129 seconds\n - PS phase arrival at 1205.421 seconds\n - SKS phase arrival at 1239.090 seconds\n - SKKS phase arrival at 1239.109 seconds\n - ScS phase arrival at 1239.512 seconds\n - SKiKP phase arrival at 1242.388 seconds\n - pSKS phase arrival at 1260.314 seconds\n - sSKS phase arrival at 1266.921 seconds\n - SS phase arrival at 1437.427 seconds\n - PKIKKIKP phase arrival at 1855.271 seconds\n - SKIKKIKP phase arrival at 2063.564 seconds\n - PKIKKIKS phase arrival at 2069.756 seconds\n - SKIKKIKS phase arrival at 2277.857 seconds\n - PKIKPPKIKP phase arrival at 2353.934 seconds\n - PKPPKP phase arrival at 2356.426 seconds\n - PKPPKP phase arrival at 2358.899 seconds\n - SKIKSSKIKS phase arrival at 3208.155 seconds\n +\tP phase arrival at 647.041 seconds\n +\tpP phase arrival at 662.233 seconds\n +\tsP phase arrival at 668.704 seconds\n +\tPcP phase arrival at 674.865 seconds\n +\tPP phase arrival at 794.992 seconds\n +\tPKiKP phase arrival at 1034.098 seconds\n +\tpPKiKP phase arrival at 1050.528 seconds\n +\tsPKiKP phase arrival at 1056.721 seconds\n +\tS phase arrival at 1176.948 seconds\n +\tpS phase arrival at 1195.508 seconds\n +\tSP phase arrival at 1196.830 seconds\n +\tsS phase arrival at 1203.129 seconds\n +\tPS phase arrival at 1205.421 seconds\n +\tSKS phase arrival at 1239.090 seconds\n +\tSKKS phase arrival at 1239.109 seconds\n +\tScS phase arrival at 1239.512 seconds\n +\tSKiKP phase arrival at 1242.388 seconds\n +\tpSKS phase arrival at 1260.314 seconds\n +\tsSKS phase arrival at 1266.921 seconds\n +\tSS phase arrival at 1437.427 seconds\n +\tPKIKKIKP phase arrival at 1855.271 seconds\n +\tSKIKKIKP phase arrival at 2063.564 seconds\n +\tPKIKKIKS phase arrival at 2069.756 seconds\n +\tSKIKKIKS phase arrival at 2277.857 seconds\n +\tPKIKPPKIKP phase arrival at 2353.934 seconds\n +\tPKPPKP phase arrival at 2356.426 seconds\n +\tPKPPKP phase arrival at 2358.899 seconds\n +\tSKIKSSKIKS phase arrival at 3208.155 seconds\n\nD:\\PythonForSource\\MSNoise_Stack\\obspy\\obspy\\taup\\__init__.py:59: DocTestFailure"}, "setup": {"outcome": "passed", "duration": 0.0007690005004405975}, "lineno": 1, "nodeid": "taup/__init__.py::obspy.taup", "outcome": "failed", 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