How to use test_events method in Playwright Python

Best Python code snippet using playwright-python

analysis.py

Source:analysis.py Github

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...103 dtype='object'104 )105 return results106def parse_results(results):107 test_events = extract_test_events(results)108 student_info, student_info_changes = extract_student_info(results)109 student_assignments = extract_student_assignments(results)110 return test_events, student_info, student_info_changes, student_assignments111def extract_test_events(112 results113):114 test_events = (115 results116 .rename(columns={117 'TermTested': 'term_school_year',118 'DistrictName': 'legal_entity',119 'Subject': 'subject',120 'Course': 'course',121 'StudentID': 'student_id_nwea',122 'TestDate': 'test_date',123 'StartRIT': 'rit_score',124 'StartRITSEM': 'rit_score_sem',125 'StartPercentile': 'percentile',...

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test_zmap.py

Source:test_zmap.py Github

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1# -*- coding: utf-8 -*-2from __future__ import (absolute_import, division, print_function,3 unicode_literals)4from future.builtins import * # NOQA5import os6import unittest7from obspy.core.event import read_events8from obspy.core.utcdatetime import UTCDateTime9from obspy.core.util import NamedTemporaryFile, get_example_file10from obspy.io.zmap import core as zmap11_STD_ZMAP_FIELDS = ('lon', 'lat', 'year', 'month', 'day', 'mag', 'depth',12 'hour', 'minute', 'second')13_EXT_ZMAP_FIELDS = ('h_err', 'z_err', 'm_err')14_ORIGIN_FIELDS = ('lon', 'lat', 'year', 'month', 'day', 'depth', 'hour',15 'minute', 'second', 'h_err', 'z_err')16_MAGNITUDE_FIELDS = ('mag', 'm_err')17class ZMAPTestCase(unittest.TestCase):18 """19 Test suite for obspy.io.zmap.core20 """21 def setUp(self):22 data_dir = os.path.join(os.path.dirname(__file__), 'data')23 path_to_catalog = os.path.join(data_dir, 'neries_events.xml')24 self.catalog = read_events(path_to_catalog)25 self.zmap_fields = _STD_ZMAP_FIELDS26 # Extract our favorite test event from the catalog27 test_event_id = 'quakeml:eu.emsc/event/20120404_0000041'28 self.test_event = next(e for e in self.catalog.events29 if e.resource_id.id == test_event_id)30 self.test_data = {31 'lon': '79.689000', 'lat': '41.818000', 'month': '4',32 'year': '2012.258465590847', 'day': '4', 'hour': '14',33 'minute': '21', 'second': '42.3', 'depth': '1.000000',34 'mag': '4.400000'35 }36 def tearDown(self):37 # Make sure events are deleted before the next test to prevent38 # resource identifier warnings39 self.catalog = None40 self.test_event = None41 def test_serialize(self):42 """43 Test serialization to zmap format44 """45 pickler = zmap.Pickler()46 # test full event (including origin/magnitude)47 dump = pickler.dumps(self.catalog)48 self.assertIn(self._expected_string(self.test_data), dump)49 self.assertEqual(dump.count('\n'), 3)50 # no preferred origin51 oid = self.test_event.preferred_origin_id52 self.test_event.preferred_origin_id = None53 dump = pickler.dumps(self.catalog)54 self.assertIn(self._expected_string({'mag': '4.400000'}), dump)55 self.test_event.preferred_origin_id = oid56 # no preferred magnitude57 self.test_event.preferred_magnitude_id = None58 dump = pickler.dumps(self.catalog)59 test_data = self.test_data.copy()60 del test_data['mag']61 self.assertIn(self._expected_string(test_data), dump)62 def test_plugin_interface(self):63 """64 Test if zmap writing works via obspy's plugin interface65 """66 with NamedTemporaryFile() as f:67 self.catalog.write(f, format='ZMAP')68 f.seek(0)69 file_content = f.read().decode('utf-8')70 self.assertIn(self._expected_string(self.test_data), file_content)71 def test_dump_to_file(self):72 """73 Test output to pre-opened file74 """75 with NamedTemporaryFile() as f:76 zmap._write_zmap(self.catalog, f)77 f.seek(0)78 file_content = f.read().decode('utf-8')79 self.assertIn(self._expected_string(self.test_data), file_content)80 def test_dump_to_filename(self):81 """82 Test output to file with a filename specified83 """84 with NamedTemporaryFile() as f:85 zmap._write_zmap(self.catalog, f.name)86 f.seek(0)87 file_content = f.read().decode('utf-8')88 self.assertIn(self._expected_string(self.test_data), file_content)89 def test_dump_with_uncertainty(self):90 """91 Test export of non-standard (CSEP) uncertainty fields92 """93 self.zmap_fields += _EXT_ZMAP_FIELDS94 self.test_data.update({'h_err': 'NaN', 'z_err': '0.000000',95 'm_err': '0.000000'})96 pickler = zmap.Pickler(with_uncertainties=True)97 dump = pickler.dumps(self.catalog)98 self.assertIn(self._expected_string(self.test_data), dump)99 def test_ou_hz_error(self):100 """101 Test hz error extraction from origin_uncertainty102 """103 self.zmap_fields += _EXT_ZMAP_FIELDS104 self.test_data.update({'h_err': '1.000000', 'z_err': '0.000000',105 'm_err': '0.000000'})106 pickler = zmap.Pickler(with_uncertainties=True)107 o = self.test_event.preferred_origin()108 o.origin_uncertainty.preferred_description = 'horizontal uncertainty'109 o.origin_uncertainty.horizontal_uncertainty = 1.0110 dump = pickler.dumps(self.catalog)111 self.assertIn(self._expected_string(self.test_data), dump)112 # with unsupported preferred_description113 self.test_data.update({'h_err': 'NaN', 'z_err': '0.000000',114 'm_err': '0.000000'})115 o.origin_uncertainty.preferred_description = 'uncertainty ellipse'116 dump = pickler.dumps(self.catalog)117 self.assertIn(self._expected_string(self.test_data), dump)118 def test_lat_lon_hz_error(self):119 """120 Test hz error extraction from lat/lon121 """122 self.zmap_fields += _EXT_ZMAP_FIELDS123 self.test_data.update({'h_err': '0.138679', 'z_err': '0.000000',124 'm_err': '0.000000'})125 pickler = zmap.Pickler(with_uncertainties=True)126 o = self.test_event.preferred_origin()127 o.latitude_errors.uncertainty = .001128 o.longitude_errors.uncertainty = .001129 dump = pickler.dumps(self.catalog)130 self.assertIn(self._expected_string(self.test_data), dump)131 def test_is_zmap(self):132 """133 Test zmap format detection134 """135 # Regular ZMAP136 test_events = [self.test_data, dict(self.test_data, mag='5.1')]137 with NamedTemporaryFile() as f:138 f.write(self._serialize(test_events).encode('utf-8'))139 self.assertTrue(zmap._is_zmap(f.name))140 # Pre-opened file141 f.seek(0)142 self.assertTrue(zmap._is_zmap(f))143 # Extended ZMAP (13 columns)144 self.zmap_fields += _EXT_ZMAP_FIELDS145 self.test_data.update({'h_err': '0.138679', 'z_err': '0.000000',146 'm_err': '0.000000'})147 test_events = [self.test_data, dict(self.test_data, mag='5.1')]148 with NamedTemporaryFile() as f:149 f.write(self._serialize(test_events).encode('utf-8'))150 self.assertTrue(zmap._is_zmap(f.name))151 # ZMAP string152 test_string = self._serialize(test_events)153 self.assertTrue(zmap._is_zmap(test_string))154 # Non-ZMAP string155 test_string = '0.000000\t' + test_string156 self.assertFalse(zmap._is_zmap(test_string + '\n'))157 # Non-ZMAP file (14 columns)158 self.zmap_fields += ('dummy',)159 self.test_data.update({'dummy': '0'})160 test_events = [self.test_data, dict(self.test_data, mag='5.1')]161 with NamedTemporaryFile() as f:162 f.write(self._serialize(test_events).encode('utf-8'))163 self.assertFalse(zmap._is_zmap(f.name))164 # Non-ZMAP file (non-numeric columns)165 self.zmap_fields = _STD_ZMAP_FIELDS + _EXT_ZMAP_FIELDS166 self.test_data.update({'mag': 'bad'})167 test_events = [self.test_data]168 with NamedTemporaryFile() as f:169 f.write(self._serialize(test_events).encode('utf-8'))170 self.assertFalse(zmap._is_zmap(f.name))171 def test_is_zmap_binary_files(self):172 """173 Test zmap format detection on non-ZMAP (e.g. binary) files, see #1022.174 """175 # Non-ZMAP file, binary176 for filename in ["test.mseed", "test.sac"]:177 file_ = get_example_file(filename)178 self.assertFalse(zmap._is_zmap(file_))179 def test_deserialize(self):180 """181 Test ZMAP deserialization to catalog182 """183 # Regular ZMAP184 test_events = [self.test_data, dict(self.test_data, mag='5.1')]185 zmap_str = self._serialize(test_events)186 catalog = zmap.Unpickler().loads(zmap_str)187 self._assert_zmap_equal(catalog, test_events)188 # Leniency (1 to 13 or more columns (extra columns are ignored))189 self.zmap_fields += _EXT_ZMAP_FIELDS + ('extra',)190 self.test_data.update({'h_err': '0.138679', 'z_err': '0.000000',191 'm_err': '0.000000', 'extra': '0.000000'})192 data = {}193 for field in self.zmap_fields:194 data[field] = self.test_data[field]195 test_events = [data, dict(data, lon='0')]196 zmap_str = self._serialize(test_events, fill_nans=False)197 catalog = zmap.Unpickler().loads(zmap_str)198 self._assert_zmap_equal(catalog, test_events)199 # Deserialize accepts a year without the weird fractional part that200 # redundantly defines the point in time within the year.201 test_events = [dict(e, year=int(float(e['year'])))202 for e in test_events]203 zmap_str = self._serialize((test_events))204 catalog = zmap.Unpickler().loads(zmap_str)205 self._assert_zmap_equal(catalog, test_events)206 def test_read(self):207 # via file, file name, plugin interface208 test_events = [self.test_data, dict(self.test_data, lon='5.1')]209 zmap_str = self._serialize((test_events))210 with NamedTemporaryFile() as f:211 f.write(zmap_str.encode('utf-8'))212 catalog = zmap._read_zmap(f.name)213 self._assert_zmap_equal(catalog, test_events)214 f.seek(0)215 catalog = zmap._read_zmap(f)216 self._assert_zmap_equal(catalog, test_events)217 catalog = read_events(f.name)218 self._assert_zmap_equal(catalog, test_events)219 # direct ZMAP string220 catalog = zmap._read_zmap(zmap_str)221 self._assert_zmap_equal(catalog, test_events)222 def _assert_zmap_equal(self, catalog, dicts):223 """224 Compares a zmap imported catalog with test event dictionaries225 """226 self.assertEqual(len(catalog), len(dicts))227 for event, test_dict in zip(catalog, dicts):228 origin = event.preferred_origin()229 if any(k in test_dict for k in _ORIGIN_FIELDS):230 self.assertNotEqual(None, origin)231 magnitude = event.preferred_magnitude()232 if any(k in test_dict for k in _MAGNITUDE_FIELDS):233 self.assertNotEqual(None, magnitude)234 d = dict((k, float(v) if v != 'NaN' else None)235 for (k, v) in test_dict.items())236 if 'lon' in d:237 self.assertEqual(d['lon'], origin.longitude)238 if 'lat' in d:239 self.assertEqual(d['lat'], origin.latitude)240 if 'depth' in d:241 self.assertEqual(d['depth'] * 1000, origin.depth)242 if 'z_err' in d:243 self.assertEqual(d['z_err'] * 1000, origin.depth_errors.244 uncertainty)245 if 'h_err' in d:246 self.assertEqual(d['h_err'], origin.origin_uncertainty247 .horizontal_uncertainty)248 self.assertEqual('horizontal uncertainty', origin249 .origin_uncertainty.preferred_description)250 if 'year' in d:251 year = d['year']252 comps = ['year', 'month', 'day', 'hour', 'minute', 'second']253 if year % 1 != 0:254 start = UTCDateTime(int(year), 1, 1)255 end = UTCDateTime(int(year) + 1, 1, 1)256 utc = start + (year % 1) * (end - start)257 elif any(d.get(k, 0) > 0 for k in comps[1:]):258 utc = UTCDateTime(*[int(d.get(k)) for k in comps])259 self.assertEqual(utc, event.preferred_origin().time)260 if 'mag' in d:261 self.assertEqual(d['mag'], magnitude.mag)262 if 'm_err' in d:263 self.assertEqual(d['m_err'], magnitude.mag_errors.uncertainty)264 def _serialize(self, test_dicts, fill_nans=True):265 zmap_str = ''266 for d in test_dicts:267 if fill_nans:268 zmap_str += '\t'.join(str(d[f]) if f in d else 'NaN'269 for f in self.zmap_fields) + '\n'270 else:271 zmap_str += '\t'.join(str(d[f]) for f in self.zmap_fields272 if f in d) + '\n'273 return zmap_str274 def _expected_string(self, zmap_dict):275 """276 Returns the expected string from a ZMAP dump.277 zmap_dict contains (string) values for all the fields that are expected278 to have specific values. All other fields default to 'NaN'.279 """280 full_zmap = dict.fromkeys(self.zmap_fields, 'NaN')281 full_zmap.update(zmap_dict)282 string = '\t'.join(full_zmap[f] for f in self.zmap_fields)283 return string284def suite():285 return unittest.makeSuite(ZMAPTestCase, 'test')286if __name__ == '__main__':...

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test_lib.py

Source:test_lib.py Github

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1# -*- coding: utf-8 -*-2"""Storage related functions and classes for testing."""3from __future__ import unicode_literals4from dfdatetime import filetime as dfdatetime_filetime5from plaso.containers import events6from plaso.containers import time_events7from plaso.containers import windows_events8from plaso.lib import definitions9from plaso.lib import timelib10from tests import test_lib as shared_test_lib11class StorageTestCase(shared_test_lib.BaseTestCase):12 """The unit test case for a storage object."""13 # pylint: disable=protected-access14 def _CreateTestEvents(self):15 """Creates events for testing.16 Returns:17 list[EventObject]: events.18 """19 test_events = []20 filetime = dfdatetime_filetime.Filetime()21 event_data = windows_events.WindowsRegistryEventData()22 event_data.key_path = 'MY AutoRun key'23 event_data.parser = 'UNKNOWN'24 event_data.regvalue = {'Value': 'c:/Temp/evil.exe'}25 filetime.CopyFromDateTimeString('2012-04-20 22:38:46.929596')26 event = time_events.DateTimeValuesEvent(27 filetime, definitions.TIME_DESCRIPTION_WRITTEN)28 self._MergeEventAndEventData(event, event_data)29 test_events.append(event)30 event_data = windows_events.WindowsRegistryEventData()31 event_data.key_path = (32 'HKEY_CURRENT_USER\\Secret\\EvilEmpire\\Malicious_key')33 event_data.parser = 'UNKNOWN'34 event_data.regvalue = {'Value': 'send all the exes to the other world'}35 filetime.CopyFromDateTimeString('2012-04-20 23:56:46.929596')36 event = time_events.DateTimeValuesEvent(37 filetime, definitions.TIME_DESCRIPTION_WRITTEN)38 self._MergeEventAndEventData(event, event_data)39 test_events.append(event)40 event_data = windows_events.WindowsRegistryEventData()41 event_data.key_path = 'HKEY_CURRENT_USER\\Windows\\Normal'42 event_data.parser = 'UNKNOWN'43 event_data.regvalue = {'Value': 'run all the benign stuff'}44 filetime.CopyFromDateTimeString('2012-04-20 16:44:46')45 event = time_events.DateTimeValuesEvent(46 filetime, definitions.TIME_DESCRIPTION_WRITTEN)47 self._MergeEventAndEventData(event, event_data)48 test_events.append(event)49 timestamp = timelib.Timestamp.CopyFromString('2009-04-05 12:27:39')50 # TODO: refactor to use event data.51 event = time_events.TimestampEvent(52 timestamp, definitions.TIME_DESCRIPTION_WRITTEN,53 data_type='text:entry')54 event.hostname = 'nomachine'55 event.offset = 1256 event.parser = 'UNKNOWN'57 event.text = (58 'This is a line by someone not reading the log line properly. And '59 'since this log line exceeds the accepted 80 chars it will be '60 'shortened.')61 event.username = 'johndoe'62 test_events.append(event)63 return test_events64 def _CreateTestEventTags(self, test_events):65 """Creates the event tags for testing.66 Args:67 list[EventObject]: test_events.68 Returns:69 list[EventTag]: event tags.70 """71 event_tags = []72 event_identifier = test_events[0].GetIdentifier()73 event_tag = events.EventTag(comment='My comment')74 event_tag.SetEventIdentifier(event_identifier)75 event_tags.append(event_tag)76 event_identifier = test_events[1].GetIdentifier()77 event_tag = events.EventTag()78 event_tag.SetEventIdentifier(event_identifier)79 event_tag.AddLabel('Malware')80 event_tags.append(event_tag)81 event_identifier = test_events[2].GetIdentifier()82 event_tag = events.EventTag(comment='This is interesting')83 event_tag.SetEventIdentifier(event_identifier)84 event_tag.AddLabels(['Malware', 'Benign'])85 event_tags.append(event_tag)86 event_identifier = test_events[1].GetIdentifier()87 event_tag = events.EventTag()88 event_tag.SetEventIdentifier(event_identifier)89 event_tag.AddLabel('Interesting')90 event_tags.append(event_tag)91 return event_tags92 # TODO: remove after event data refactor.93 def _MergeEventAndEventData(self, event, event_data):94 """Merges the event data with the event.95 args:96 event (EventObject): event.97 event_data (EventData): event_data.98 """99 for attribute_name, attribute_value in event_data.GetAttributes():...

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test_annot.py

Source:test_annot.py Github

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...31 start_seconds.extend([np.nan, np.nan])32 stop_seconds.extend([np.nan, 0])33 return names, start_seconds, stop_seconds34@pytest.fixture()35def test_events(test_lists):36 names, start_seconds, stop_seconds = test_lists37 et = Events.from_lists(names, start_seconds, stop_seconds)38 return et39def test_from_ds(test_data):40 names, times = test_data41 names = xr.DataArray(name='event_names', data=np.array(names, dtype='U128'), dims=['index',])42 names.attrs['allowed_names'] = list(set(names.data))43 times = xr.DataArray(name='event_times', data=times, dims=['index','event_time'], coords={'event_time': ['start_seconds', 'stop_seconds']})44 names, times45 ds = xr.Dataset({da.name: da for da in [names, times]})46 ds.attrs['pulse'] = 'event'47 ds.attrs['sine'] = 'segment'48 ds49 et = Events.from_dataset(ds)...

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