How to use get_metadata method in stestr
Best Python code snippet using stestr_python
test_re.py
Source:test_re.py 
...266 c = re_symbol('c')267 c1 = re_symbol('c', metadata='ingress')268 c2 = re_symbol('c', metadata='egress')269 symbol_list = 'cba'270 assert a.get_metadata() == []271 assert a1 == a272 assert a1 & a == a273 assert (a1 & a).get_metadata() == ['ingress']274 assert c1 & c & c2 == c275 assert (c1 & c2 & c).get_metadata() == ['ingress', 'egress']276 assert (c1 & c2 & c & c2).get_metadata() == ['ingress', 'egress', 'egress']277 assert c1 & c2 & c & c2 == c278 assert a1 | a == a279 assert (a1 | a).get_metadata() == ['ingress']280 assert c1 | c | c2 == c281 assert (c1 | c2 | c).get_metadata() == ['ingress', 'egress']282 assert (c1 | c2 | c | c2).get_metadata() == ['ingress', 'egress', 'egress']283 assert c1 | c2 | c | c2 == c284def test_deriv_metadata():285 """ Test if derivation works well when consuming derivatives """286 a = re_symbol('a')287 a1 = re_symbol('a', metadata='ingress')288 a2 = re_symbol('a', metadata='egress')289 b = re_symbol('b')290 b1 = re_symbol('b', metadata='hook')291 c = re_symbol('c')292 c1 = re_symbol('c', metadata='ingress')293 c2 = re_symbol('c', metadata='egress')294 # tests for sample expressions295 (d, r) = deriv_consumed(a1, a)296 assert d == re_epsilon()297 assert len(r) == 1 and r == a1.get_metadata()298 (d, r) = deriv_consumed(c2, c)299 assert d == re_epsilon()300 assert len(r) == 1 and r == c2.get_metadata()301 (d, r) = deriv_consumed(a1, b)302 assert d == re_empty()303 assert len(r) == 0304 (d, r) = deriv_consumed(a1 ^ b, a)305 assert d == b306 assert len(r) == 1 and r == a1.get_metadata()307 (d, r) = deriv_consumed(c1 | c2, c)308 assert d == re_epsilon()309 assert len(r) == 2310 assert r == c1.get_metadata() + c2.get_metadata()311 (d, r) = deriv_consumed((c1 ^ a) | (c2 ^ b), c)312 assert d == a | b313 assert len(r) == 2314 assert sorted(r) == sorted(c1.get_metadata() + c2.get_metadata())315 (d, r) = deriv_consumed((c1 | a) & (c2 | b), c)316 assert d == re_epsilon()317 assert len(r) == 2318 assert sorted(r) == sorted(c1.get_metadata() + c2.get_metadata())319 (d, r) = deriv_consumed(~(c2 & (+c) & (c1 ^ b)), c)320 assert d == ~(re_epsilon() & (re_epsilon() ^ +c) & b)321 assert len(r) == 2322 assert sorted(r) == sorted(c1.get_metadata() + c2.get_metadata())323 (d, r) = deriv_consumed((a1 ^ +c1) & ~(a2 ^ c1 ^ c2), a)324 assert d == +c & ~(c ^ c)325 assert len(r) == 2326 assert sorted(r) == sorted(a1.get_metadata() + a2.get_metadata())327def test_dfa_metadata():328 """ Check if metadata is stored appropriately mapping to the transitions in329 the resulting DFA from specific regular expressions. """330 a = re_symbol('a')331 a1 = re_symbol('a', metadata='ingress')332 a2 = re_symbol('a', metadata='egress')333 b = re_symbol('b')334 b1 = re_symbol('b', metadata='ingress')335 b2 = re_symbol('b', metadata='egress')336 c = re_symbol('c')337 c1 = re_symbol('c', metadata='ingress')338 c2 = re_symbol('c', metadata='egress')339 c3 = re_symbol('c', metadata='hook')340 d = re_symbol('d')341 symbol_list = 'abcd'342 def list_equals_meta_structural(x, y):343 return reduce(lambda acc, (u,v): acc and u.equals_meta_structural(v),344 zip(x, y),345 True)346 # make DFAs, and check all metadata transitions347 e = a1348 tt = makeDFA(e, symbol_list).transition_table349 assert tt.get_metadata(a1, 'a') == a1.get_metadata()350 assert tt.get_metadata(re_empty(), 'a') == []351 e = a1 ^ b352 tt = makeDFA(e, symbol_list).transition_table353 assert tt.get_metadata(a1 ^ b, 'a') == a1.get_metadata()354 assert tt.get_metadata(b, 'b') == []355 assert tt.get_metadata(re_empty(), 'a') == []356 e = c1 | c2357 tt = makeDFA(e, symbol_list).transition_table358 assert (sorted(tt.get_metadata(c1 | c2, 'c')) ==359 sorted(c1.get_metadata() + c2.get_metadata()))360 assert tt.get_metadata(re_empty(), 'c') == []361 e = (c1 ^ a2 ^ c3) | (c2 ^ b1 ^ c)362 tt = makeDFA(e, symbol_list).transition_table363 assert (sorted(tt.get_metadata(e, 'c')) ==364 sorted(c1.get_metadata() + c2.get_metadata()))365 r1 = (a ^ c) | (b ^ c)366 assert tt.get_metadata(r1, 'a') == a2.get_metadata()367 assert tt.get_metadata(r1, 'b') == b1.get_metadata()368 assert tt.get_metadata(c, 'c') == c3.get_metadata()369 assert tt.get_metadata(re_empty(), 'b') == []370 e = (+c1 ^ a1 ^ b ^ a2) | (c2 ^ c3 ^ b1 ^ a1)371 dfa = makeDFA(e, symbol_list)372 tt = dfa.transition_table373 st = dfa.all_states374 assert (sorted(tt.get_metadata(e, 'c')) ==375 sorted(c1.get_metadata() + c2.get_metadata()))376 r1 = (+c ^ a ^ b ^ a) | (c ^ b ^ a)377 assert (sorted(tt.get_metadata(r1, 'c')) ==378 sorted(c1.get_metadata() + c3.get_metadata()))379 assert list_equals_meta_structural(st.get_expressions(b ^ a), [b ^ a2])380 assert tt.get_metadata(b ^ a, 'b') == []381 assert list_equals_meta_structural(st.get_expressions(a), [a2, a1])382 e = (+c1 ^ c3 ^ b ^ a2) | (c2 ^ c3 ^ b1 ^ a1)383 tt = makeDFA(e, symbol_list).transition_table384 assert (sorted(tt.get_metadata(e, 'c')) ==385 sorted(c1.get_metadata() + c2.get_metadata() + c3.get_metadata()))386 e = (b1 ^ c1 ^ b ^ a2) | (c3 ^ b1 ^ b1 ^ a1)387 dfa = makeDFA(e, symbol_list)388 tt = dfa.transition_table389 st = dfa.all_states390 assert tt.get_metadata(e, 'c') == c3.get_metadata()391 assert list_equals_meta_structural(st.get_expressions(b ^ a),392 [b ^ a2, b1 ^ a1])393 assert tt.get_metadata(b ^ a, 'b') == b1.get_metadata()394 assert list_equals_meta_structural(st.get_expressions(a), [a2, a1])395 assert (sorted(tt.get_metadata(a, 'a')) ==396 sorted(a1.get_metadata() + a2.get_metadata()))397 e = (+c1 ^ a1 ^ b2 ^ a2) | (c ^ d ^ b1 ^ a1)398 dfa = makeDFA(e, symbol_list)399 st = dfa.all_states400 tt = dfa.transition_table401 assert list_equals_meta_structural(st.get_expressions(b ^ a),402 [b2 ^ a2, b1 ^ a1])403 assert (sorted(tt.get_metadata(b ^ a, 'b')) ==404 sorted(b1.get_metadata() + b2.get_metadata()))405 assert list_equals_meta_structural(st.get_expressions(a), [a2, a1])406 assert (sorted(tt.get_metadata(a, 'a')) ==407 sorted(a1.get_metadata() + a2.get_metadata()))408def test_dfa_vector():409 a = re_symbol('a')410 b = re_symbol('b')411 c = re_symbol('c')412 d = re_symbol('d')413 e1 = (a ^ b) | (a ^ c)414 e2 = (a ^ c) | (b ^ c)415 e3 = (+a) | (b ^ c)416 e4 = (+a ^ +b) | (c ^ d)417 symlist = 'abcd'418 # base case: single expression lists.419 dfa1 = makeDFA_vector([e1], symlist)420 dfa2 = makeDFA_vector([e2], symlist)421 dfa3 = makeDFA_vector([e3], symlist)...
read_aux.py
Source:read_aux.py
...39 metadatadictionaries : dict40 all of the data and variables in the format specified in the configuration files41 """42 # date and time43 date = get_metadata('date')44 date['data'] = datadict['Date']45 time = get_metadata('time')46 time['data'] = datadict['Start Time']47 # data, sample and diameter variables48 field = {}49 datafield = _DEFAULT_VARIABLES[metadatadict['Units']][metadatadict['Weight']]50 field[datafield] = get_metadata(datafield)51 field['variables'] = [datafield]52 sample = get_metadata('sample')53 data = []54 if 'Sample #' in header: # diameters in header columns, samples in rows. Should be adjusted for different readers55 field['coordinates'] = ['diameter','sample']56 diameter = get_metadata('diameter')57 diameterdata = []58 for item in header:59 try:60 if isinstance( float(item), float):61 diameterdata.append(float(item))62 data.append([float(i) for i in datadict[item]])63 except ValueError:64 pass65 diameter['data'] = diameterdata66 field[datafield]['data'] = np.ma.asarray(data)67 sample['data'] = [float(i) for i in datadict['Sample #']]68 if 'Upper Size (nm)' in datadict.keys():69 diameter['valid_max'] = np.max( [float(i) for i in datadict['Upper Size (nm)']] )70 if 'Lower Size (nm)' in datadict.keys():71 diameter['valid_min'] = np.max( [float(i) for i in datadict['Lower Size (nm)']] )72 else:73 field['coordinates'] = ['sample', 'diameter']74 # TODO75 variable = 'temperature'76 temperature = get_metadata(variable)77 filenaming = _FIELD_MAPPING[fileorg][variable]78 temperature['data'] = [float(i) for i in datadict[filenaming]]79 variable = 'pressure'80 pressure = get_metadata(variable)81 filenaming = _FIELD_MAPPING[fileorg][variable]82 pressure['data'] = [float(i) for i in datadict[filenaming]]83 variable = 'relative_humidity'84 relative_humidity = get_metadata(variable)85 filenaming = _FIELD_MAPPING[fileorg][variable]86 relative_humidity['data'] = [float(i) for i in datadict[filenaming]]87 variable = 'mean_free_path'88 mean_free_path = get_metadata(variable)89 filenaming = _FIELD_MAPPING[fileorg][variable]90 mean_free_path['data'] = [float(i) for i in datadict[filenaming]]91 variable = 'viscosity'92 viscosity = get_metadata(variable)93 filenaming = _FIELD_MAPPING[fileorg][variable]94 viscosity['data'] = [float(i) for i in datadict[filenaming]]95 variable = 'scan_time'96 scan_time = get_metadata(variable)97 filenaming = _FIELD_MAPPING[fileorg][variable]98 scan_time['data'] = [float(i) for i in datadict[filenaming]]99 variable = 'retrace_time'100 retrace_time = get_metadata(variable)101 filenaming = _FIELD_MAPPING[fileorg][variable]102 retrace_time['data'] = [float(i) for i in datadict[filenaming]]103 variable = 'scan_resolution'104 scan_resolution = get_metadata(variable)105 filenaming = _FIELD_MAPPING[fileorg][variable]106 scan_resolution['data'] = [float(i) for i in datadict[filenaming]]107 variable = 'scans_per_sample'108 scans_per_sample = get_metadata(variable)109 filenaming = _FIELD_MAPPING[fileorg][variable]110 scans_per_sample['data'] = [float(i) for i in datadict[filenaming]]111 variable = 'sheath_flow'112 sheath_flow = get_metadata(variable)113 filenaming = _FIELD_MAPPING[fileorg][variable]114 sheath_flow['data'] = [float(i) for i in datadict[filenaming]]115 variable = 'aerosol_flow'116 aerosol_flow = get_metadata(variable)117 filenaming = _FIELD_MAPPING[fileorg][variable]118 aerosol_flow['data'] = [float(i) for i in datadict[filenaming]]119 variable = 'bypass_flow'120 bypass_flow = get_metadata(variable)121 filenaming = _FIELD_MAPPING[fileorg][variable]122 bypass_flow['data'] = [float(i) for i in datadict[filenaming]]123 variable = 'low_voltage'124 low_voltage = get_metadata(variable)125 filenaming = _FIELD_MAPPING[fileorg][variable]126 low_voltage['data'] = [float(i) for i in datadict[filenaming]]127 variable = 'high_voltage'128 high_voltage = get_metadata(variable)129 filenaming = _FIELD_MAPPING[fileorg][variable]130 high_voltage['data'] = [float(i) for i in datadict[filenaming]]131 variable = 'lower_size'132 lower_size = get_metadata(variable)133 filenaming = _FIELD_MAPPING[fileorg][variable]134 lower_size['data'] = [float(i) for i in datadict[filenaming]]135 variable = 'upper_size'136 upper_size = get_metadata(variable)137 filenaming = _FIELD_MAPPING[fileorg][variable]138 upper_size['data'] = [float(i) for i in datadict[filenaming]]139 variable = 'density'140 density = get_metadata(variable)141 filenaming = _FIELD_MAPPING[fileorg][variable]142 try:143 density['data'] = [float(i) for i in datadict[filenaming]]144 except KeyError:145 if fileorg == 'AIM':146 filenaming = _FIELD_MAPPING['AIM_text'][variable]147 density['data'] = [float(i) for i in datadict[filenaming]]148 elif fileorg == 'AIM_text':149 filenaming = _FIELD_MAPPING['AIM'][variable]150 density['data'] = [float(i) for i in datadict[filenaming]]151 else:152 warnings.warn("If reading fails, try a different file organisation")153 variable = 'td+05'154 td05 = get_metadata(variable)155 filenaming = _FIELD_MAPPING[fileorg][variable]156 td05['data'] = [float(i) for i in datadict[filenaming]]157 variable = 'tf'158 tf = get_metadata(variable)159 filenaming = _FIELD_MAPPING[fileorg][variable]160 tf['data'] = [float(i) for i in datadict[filenaming]]161 variable = 'D50'162 D50 = get_metadata(variable)163 filenaming = _FIELD_MAPPING[fileorg][variable]164 D50['data'] = [float(i) for i in datadict[filenaming]]165 variable = 'neutralizer_status'166 neutralizer_status = get_metadata(variable)167 filenaming = _FIELD_MAPPING[fileorg][variable]168 try:169 neutralizer_status['data'] = [float(i) for i in datadict[filenaming]]170 except ValueError:171 neutralizer_status['data'] = datadict[filenaming]172 variable = 'median'173 median = get_metadata(variable)174 filenaming = _FIELD_MAPPING[fileorg][variable]175 median['data'] = [float(i) for i in datadict[filenaming]]176 variable = 'mean'177 mean = get_metadata(variable)178 filenaming = _FIELD_MAPPING[fileorg][variable]179 mean['data'] = [float(i) for i in datadict[filenaming]]180 variable = 'geo_mean'181 geo_mean = get_metadata(variable)182 filenaming = _FIELD_MAPPING[fileorg][variable]183 geo_mean['data'] = [float(i) for i in datadict[filenaming]]184 variable = 'mode'185 mode = get_metadata(variable)186 filenaming = _FIELD_MAPPING[fileorg][variable]187 mode['data'] = [float(i) for i in datadict[filenaming]]188 variable = 'geo_std_dev'189 geo_std_dev = get_metadata(variable)190 filenaming = _FIELD_MAPPING[fileorg][variable]191 geo_std_dev['data'] = [float(i) for i in datadict[filenaming]]192 variable = 'total_concentration'193 total_concentration = get_metadata(variable)194 filenaming = _FIELD_MAPPING[fileorg][variable]195 try:196 total_concentration['data'] = [float(i) for i in datadict[filenaming]]197 except KeyError:198 if fileorg == 'AIM':199 filenaming = _FIELD_MAPPING['AIM_text'][variable]200 total_concentration['data'] = [float(i) for i in datadict[filenaming]]201 elif fileorg == 'AIM_text':202 filenaming = _FIELD_MAPPING['AIM'][variable]203 total_concentration['data'] = [float(i) for i in datadict[filenaming]]204 else:205 warnings.warn("If reading fails, try a different file organisation")206 variable = 'title'207 title = get_metadata(variable)208 filenaming = _FIELD_MAPPING[fileorg][variable]209 title['data'] = datadict[filenaming]210 variable = 'user_name'211 user_name = get_metadata(variable)212 filenaming = _FIELD_MAPPING[fileorg][variable]213 user_name['data'] = datadict[filenaming]214 variable = 'sample_id'215 sample_id = get_metadata(variable)216 filenaming = _FIELD_MAPPING[fileorg][variable]217 try:218 sample_id['data'] = [float(i) for i in datadict[filenaming]]219 except ValueError:220 sample_id['data'] = datadict[filenaming]221 variable = 'instrument_id'222 instrument_id = get_metadata(variable)223 filenaming = _FIELD_MAPPING[fileorg][variable]224 try:225 instrument_id['data'] = datadict[filenaming]226 except ValueError:227 instrument_id['data'] = [float(i) for i in datadict[filenaming]]228 variable = 'lab_id'229 lab_id = get_metadata(variable)230 filenaming = _FIELD_MAPPING[fileorg][variable]231 try:232 lab_id['data'] = datadict[filenaming]233 except ValueError:234 lab_id['data'] = [float(i) for i in datadict[filenaming]]235 variable = 'leak_test_rate'236 leak_test_rate = get_metadata(variable)237 filenaming = _FIELD_MAPPING[fileorg][variable]238 try:239 leak_test_rate['data'] = [float(i) for i in datadict[filenaming]]240 except ValueError:241 leak_test_rate['data'] = datadict[filenaming]242 variable = 'instrument_errors'243 instrument_errors = get_metadata(variable)244 filenaming = _FIELD_MAPPING[fileorg][variable]245 try:246 instrument_errors['data'] = [float(i) for i in datadict[filenaming]]247 except ValueError:248 instrument_errors['data'] = datadict[filenaming]249 variable = 'comment'250 comment = get_metadata(variable)251 filenaming = _FIELD_MAPPING[fileorg][variable]252 comment['data'] = datadict[filenaming]253 return field, diameter, date, time, sample, temperature, pressure, relative_humidity, mean_free_path, viscosity, scan_time, retrace_time, scan_resolution, scans_per_sample, sheath_flow, aerosol_flow, bypass_flow, low_voltage, high_voltage, lower_size, upper_size, density, td05, tf, D50, median, mean, geo_mean, mode, geo_std_dev, total_concentration, title, user_name, sample_id, instrument_id, lab_id, leak_test_rate, instrument_errors, comment254def opc_file_to_config(datadict, metadatadict, header, fileorg = 'OPC', **kwargs):255 """256 Unfortunately a rather long script that organises data read257 from file into metadata dictionaries from config258 Parameters259 ----------260 datadict : dict261 dictionary with data read from file262 metadatadict : dict263 dictionary with metadata read from file264 header : list265 file header266 fileorg : str267 organisation of the file268 Returns269 -------270 metadatadictionaries : dict271 all of the data and variables in the format specified in the configuration files272 """273 # get conversions dict if exists274 if fileorg in _CONVERSIONS:275 convdict = _CONVERSIONS[fileorg]276 convvars = list(convdict.keys())277 else:278 convvars = []279 outdict = {}280 #variables = ['time','duration','latitude','longitude','fix_time', 'temperature','relative_humidity']281 variables = header282 for variable in variables:283 if 'bin' in variable:284 pass285 else:286 filenaming = _FIELD_MAPPING[fileorg][variable]287 outdict[filenaming] = get_metadata(filenaming)288 try:289 _ = datadict[variable]290 if filenaming == 'time' or filenaming == 'date':291 # prevent time from being converted into a float292 outdict[filenaming]['data'] = [i for i in datadict[variable]]293 else:294 try:295 outdict[filenaming]['data'] = [float(i) for i in datadict[variable]]296 except ValueError:297 outdict[filenaming]['data'] = [i for i in datadict[variable]]298 if filenaming in convvars:299 outdict[filenaming]['data'] = convert_units(outdict[filenaming]['data'], *convdict[filenaming])300 except KeyError:301 pass302 diameter = get_metadata('diameter')303 diameter['data'] = [0.35, 0.46, 0.66, 1.0, 1.3, 1.7, 2.3, 3.0, 4.0, 5.2, 6.5, 8.0, 10.0, 12.0, 14.0, 16.0, 18.0, 20.0, 22.0, 25.0, 28.0, 31.0, 34.0, 37.0, 40.0]304 bins = ["bin0", "bin1", "bin2", "bin3", "bin4", "bin5", "bin6", "bin7", "bin8", "bin9", "bin10", "bin11", "bin12", "bin13", "bin14", "bin15", "bin16", "bin17", "bin18", "bin19", "bin20", "bin21", "bin22", "bin23"]305 data = []306 for abin in bins:307 data.append([float(i) for i in datadict[abin]])308 #data = []309 #for abin in bins:310 # for i in range(0,len(datadict[abin])):311 # try:312 # data.append(float(datadict[abin][i]))313 # except ValueError:314 # print(i)315 field = {}316 datafield = _DEFAULT_VARIABLES['Raw Counts']['Number']317 field[datafield] = get_metadata(datafield)318 field[datafield]['data'] = np.ma.asarray(data)319 field['coordinates'] = ['diameter','sample']320 field['variables'] = [datafield]321 time = outdict.pop('time')322 sample = get_metadata('sample')323 sample['data'] = np.arange(0,len(time['data']))324 return time, sample, field, diameter, outdict325def grimm_file_to_config(datadict, metadatadict, header, fileorg = 'Grimm', **kwargs):326 """327 Organises data read from file into metadata dictionaries328 from config329 Parameters330 ----------331 datadict : dict332 dictionary with data read from file333 metadatadict : dict334 dictionary with metadata read from file335 header : list336 file header337 fileorg : str338 organisation of the file339 Returns340 -------341 metadatadictionaries : dict342 all of the data and variables in the format specified in the configuration files343 """344 # get conversions dict if exists345 if fileorg in _CONVERSIONS:346 convdict = _CONVERSIONS[fileorg]347 convvars = list(convdict.keys())348 outdict = {}349 diameter = get_metadata('diameter')350 diameter['data'] = [0.0] #GRIMM does not have a lower limit351 bins = []352 variables = header353 for variable in variables:354 try:355 diameter['data'].append(float(variable))356 bins.append(variable)357 except ValueError:358 try:359 filenaming = _FIELD_MAPPING[fileorg][variable]360 except KeyError:361 filenaming = variable362 outdict[filenaming] = get_metadata(filenaming)363 try:364 _ = datadict[variable]365 try:366 outdict[filenaming]['data'] = [float(i) for i in datadict[variable]]367 except ValueError:368 outdict[filenaming]['data'] = [i for i in datadict[variable]]369 if filenaming in convvars:370 outdict[filenaming]['data'] = convert_units(outdict[filenaming]['data'], *convdict[filenaming])371 except KeyError:372 pass373 data = []374 for abin in bins:375 data.append([float(i) for i in datadict[abin]])376 field = {}377 datafield = _DEFAULT_VARIABLES['Concentration (DW)']['Number']378 field[datafield] = get_metadata(datafield)379 field[datafield]['data'] = np.ma.asarray(data)380 field['units'] = '#/L'381 field['coordinates'] = ['diameter','sample']382 try:383 time = outdict.pop('time')384 except KeyError:385 time = outdict.pop('datetime')386 sample = get_metadata('sample')387 sample['data'] = np.arange(0,len(time['data']))388 return time, sample, field, diameter, outdict389def file_to_config(datadict, metadatadict, header, fileorg, **kwargs):390 """391 Organises data read from file into metadata dictionaries from config392 Parameters393 ----------394 datadict : dict395 dictionary with data read from file396 metadatadict : dict397 dictionary with metadata read from file398 header : list399 file header400 fileorg : str401 organisation of the file402 Returns403 -------404 metadatadictionaries : dict405 all of the data and variables in the format specified in the configuration files406 """407 outdict = {}408 variable_list = list(datadict.keys())409 for variable in variable_list:410 if fileorg is not None:411 varname = _FIELD_MAPPING[fileorg][variable]412 else:413 varname = variable414 vardict = get_metadata(varname)415 vardict['data'] = datadict[variable]416 outdict[varname] = vardict...
test_check_runner.py
Source:test_check_runner.py
1#!/usr/bin/env python32# /*******************************************************************************3# Copyright Intel Corporation.4# This software and the related documents are Intel copyrighted materials, and your use of them5# is governed by the express license under which they were provided to you (License).6# Unless the License provides otherwise, you may not use, modify, copy, publish, distribute, disclose7# or transmit this software or the related documents without Intel's prior written permission.8# This software and the related documents are provided as is, with no express or implied warranties,9# other than those that are expressly stated in the License.10#11# *******************************************************************************/12# NOTE: workaround to import modules13import os14import sys15from modules.check.check import CheckSummary16sys.path.append(os.path.join(os.path.dirname(os.path.abspath(__file__)), '../../../'))17import json # noqa: E40218import time # noqa: E40219import unittest # noqa: E40220from unittest.mock import MagicMock, patch, call # noqa: E40221from modules.check.check_runner import run_checks, check_run, _get_dependency_checks_map,\22 create_dependency_order # noqa: E40223class TestCheckRun(unittest.TestCase):24 def test_check_run_positive(self):25 mocked_check = MagicMock()26 mocked_check.get_metadata.return_value = MagicMock()27 mocked_check.get_metadata.return_value.name = "check"28 mocked_check.get_metadata.return_value.timeout = 129 mocked_check.run.return_value = CheckSummary(result=json.dumps({30 "Value": {31 "Check": {32 "Value": "Check Value",33 "RetVal": "INFO"34 }35 }36 }))37 expected = CheckSummary(result=json.dumps({38 "Value": {39 "Check": {40 "Value": "Check Value",41 "RetVal": "INFO"42 }43 }44 }))45 value = check_run(mocked_check, {})46 self.assertEqual(expected.__dict__, value.__dict__)47 def test_check_run_timeout_positive(self):48 mocked_check = MagicMock()49 mocked_check.get_metadata.return_value = MagicMock()50 mocked_check.get_metadata.return_value.name = "check"51 mocked_check.get_metadata.return_value.timeout = 152 mocked_check.run = lambda data: time.sleep(2)53 expected = CheckSummary(result=json.dumps({54 "RetVal": "ERROR",55 "Verbosity": 0,56 "Message": "",57 "Value": {58 "check": {59 "Value": "Timeout was exceeded.",60 "Verbosity": 0,61 "Message": "",62 "RetVal": "ERROR"63 }64 }65 }))66 value = check_run(mocked_check, {})67 self.assertEqual(expected.__dict__, value.__dict__)68 def test_check_run_check_crush_positive(self):69 mocked_check = MagicMock()70 mocked_check.get_metadata.return_value = MagicMock()71 mocked_check.get_metadata.return_value.name = "check"72 mocked_check.get_metadata.return_value.timeout = 173 mocked_check.run.side_effect = Exception()74 expected = CheckSummary(result=json.dumps({75 "RetVal": "ERROR",76 "Verbosity": 0,77 "Message": "",78 "Value": {79 "check": {80 "Value": "",81 "Verbosity": 0,82 "Message": "The check crashed at runtime. No data was received. "83 "See call stack above.",84 "RetVal": "ERROR"85 }86 }87 }))88 value = check_run(mocked_check, {})89 self.assertEqual(expected.__dict__, value.__dict__)90class TestGetDependencyChecksMap(unittest.TestCase):91 def test__get_dependency_checks_map_positive(self):92 mocked_check = MagicMock()93 mocked_check.get_metadata.return_value = MagicMock()94 mocked_check.get_metadata.return_value.name = "check"95 mocked_check.get_metadata.return_value.version = 196 expected = {"check": mocked_check}97 value = _get_dependency_checks_map([mocked_check], {"check": 1})98 self.assertEqual(expected, value)99 def test__get_dependency_checks_map_no_dep_positive(self):100 mocked_check = MagicMock()101 mocked_check.get_metadata.return_value = MagicMock()102 mocked_check.get_metadata.return_value.name = "check"103 mocked_check.get_metadata.return_value.version = 1104 expected = {}105 value = _get_dependency_checks_map([mocked_check], {})106 self.assertEqual(expected, value)107 @patch("logging.error")108 def test__get_dependency_checks_map_another_version_negative(self, mocked_log):109 mocked_check = MagicMock()110 mocked_check.get_metadata.return_value = MagicMock()111 mocked_check.get_metadata.return_value.name = "check"112 mocked_check.get_metadata.return_value.version = 1113 expected = {}114 value = _get_dependency_checks_map([mocked_check], {"check": 3})115 self.assertEqual(expected, value)116 mocked_log.assert_called()117 @patch("logging.error")118 def test__get_dependency_checks_map_not_found_negative(self, mocked_log):119 mocked_check = MagicMock()120 mocked_check.get_metadata.return_value = MagicMock()121 mocked_check.get_metadata.return_value.name = "check_2"122 mocked_check.get_metadata.return_value.version = 1123 expected = {}124 value = _get_dependency_checks_map([mocked_check], {"check": 1})125 self.assertEqual(expected, value)126 mocked_log.assert_called_once()127class TestCreateDependencyOrder(unittest.TestCase):128 def test_create_dependency_order_positive(self):129 mocked_check_1 = MagicMock()130 mocked_check_1.get_metadata.return_value = MagicMock()131 mocked_check_1.get_metadata.return_value.name = "check_1"132 mocked_check_1.get_metadata.return_value.version = 1133 mocked_check_1.get_metadata.return_value.dataReq = """{"check_3": 1}"""134 mocked_check_1.get_metadata.return_value.tags = "default"135 mocked_check_2 = MagicMock()136 mocked_check_2.get_metadata.return_value = MagicMock()137 mocked_check_2.get_metadata.return_value.name = "check_2"138 mocked_check_2.get_metadata.return_value.version = 1139 mocked_check_2.get_metadata.return_value.dataReq = """{"check_1": 1}"""140 mocked_check_2.get_metadata.return_value.tags = "default"141 mocked_check_3 = MagicMock()142 mocked_check_3.get_metadata.return_value = MagicMock()143 mocked_check_3.get_metadata.return_value.name = "check_3"144 mocked_check_3.get_metadata.return_value.version = 1145 mocked_check_3.get_metadata.return_value.dataReq = "{}"146 mocked_check_3.get_metadata.return_value.tags = "default"147 expected = (["check_1", "check_2", "check_3"], [mocked_check_3, mocked_check_1, mocked_check_2])148 value = create_dependency_order([mocked_check_1, mocked_check_2, mocked_check_3], {"default"})149 self.assertEqual(expected, value)150class TestRunChecks(unittest.TestCase):151 @patch("builtins.exit")152 @patch("builtins.print")153 def test_run_checks_no_checks_to_run(self, mocked_print, mocked_exit):154 expected_exit_code = 1155 run_checks([])156 mocked_print.assert_called_once()157 mocked_exit.assert_called_once_with(expected_exit_code)158 @patch("logging.error")159 def test_run_checks_does_not_have_dependency(self, mocked_error):160 mocked_check = MagicMock()161 mocked_check.get_metadata.return_value = MagicMock()162 mocked_check.get_metadata.return_value.name = "check"163 mocked_check.get_metadata.return_value.dataReq = """{"data": "1"}"""164 mocked_check.get_summary.return_value = None165 run_checks([mocked_check])166 mocked_error.assert_called()167 @patch("modules.check.check_runner.check_run")168 def test_run_checks_run_check(self, mocked_check_run):169 mocked_summary = MagicMock()170 mocked_summary.result = "{}"171 mocked_check = MagicMock()172 mocked_check.get_metadata.return_value = MagicMock()173 mocked_check.get_metadata.return_value.name = "check"174 mocked_check.get_metadata.return_value.timeout = 1175 mocked_check.get_metadata.return_value.dataReq = "{}"176 mocked_check.get_summary.return_value = mocked_summary177 run_checks([mocked_check])178 mocked_check_run.assert_called_once_with(mocked_check, {})179 @patch("modules.check.check_runner.check_run")180 def test_run_checks_run_two_dependencies_checks(self, mocked_check_run):181 mocked_summary_1 = MagicMock()182 mocked_summary_1.result = "{}"183 mocked_check_1 = MagicMock()184 mocked_check_1.get_metadata.return_value = MagicMock()185 mocked_check_1.get_metadata.return_value.name = "check_1"186 mocked_check_1.get_metadata.return_value.timeout = 1187 mocked_check_1.get_metadata.return_value.dataReq = """{"check_2": "1"}"""188 mocked_check_1.get_summary.return_value = mocked_summary_1189 mocked_summary_2 = MagicMock()190 mocked_summary_2.result = json.dumps({191 "Value": {192 "Check 2": {193 "Value": "Check 2 Value",194 "RetVal": "INFO"195 }196 }197 })198 mocked_check_2 = MagicMock()199 mocked_check_2.get_metadata.return_value = MagicMock()200 mocked_check_2.get_metadata.return_value.name = "check_2"201 mocked_check_2.get_metadata.return_value.version = "1"202 mocked_check_2.get_metadata.return_value.timeout = 1203 mocked_check_2.get_metadata.return_value.dataReq = "{}"204 mocked_check_2.get_summary.return_value = mocked_summary_2205 run_checks([mocked_check_2, mocked_check_1])206 expected_calls = [207 call(mocked_check_2, {}),208 call(209 mocked_check_1,210 {"check_2": {"Value": {"Check 2": {"Value": "Check 2 Value", "RetVal": "INFO"}}}}211 )212 ]213 mocked_check_run.assert_has_calls(expected_calls)214 @patch("modules.check.check_runner.check_run")215 def test_run_checks_run_two_separate_checks(self, mocked_check_run):216 mocked_summary = MagicMock()217 mocked_summary.result = "{}"218 mocked_check_1 = MagicMock()219 mocked_check_1.get_metadata.return_value = MagicMock()220 mocked_check_1.get_metadata.return_value.name = "check_1"221 mocked_check_1.get_metadata.return_value.timeout = 1222 mocked_check_1.get_metadata.return_value.dataReq = "{}"223 mocked_check_1.get_summary.return_value = mocked_summary224 mocked_check_2 = MagicMock()225 mocked_check_2.get_metadata.return_value = MagicMock()226 mocked_check_2.get_metadata.return_value.name = "check_2"227 mocked_check_2.get_metadata.return_value.timeout = 1228 mocked_check_2.get_metadata.return_value.dataReq = "{}"229 mocked_check_2.get_summary.return_value = mocked_summary230 run_checks([mocked_check_1, mocked_check_2])231 expected_calls = [232 call(mocked_check_2, {}),233 call(mocked_check_1, {})234 ]235 mocked_check_run.assert_has_calls(expected_calls, any_order=True)236if __name__ == '__main__':...
dhq_paper_plots.py
Source:dhq_paper_plots.py
...100 101print('document read in successfully!')102print(text.isnull().sum())103print(list(text))104def get_metadata(title, date, members):105 a = text.ix[(text['BILL'].str.contains(title)) & (text['DATE'] == date), ['BILL', 'MEMBER', 'DATE', 'SPEECH_ACT']]106 if a.shape[0] > 0:107 print(a.shape)108 # a.to_csv('/Users/alee35/Dropbox (Brown)/data/hansard/dhq/{}_{}.tsv'.format(title, date), sep='\t', index=False)109 memb = list(a.MEMBER.unique())110 for m in memb:111 members.append(m)112 else:113 b = text.ix[(text['DATE'] == date), ['BILL', 'MEMBER', 'DATE', 'SPEECH_ACT']]114 print('------------------------')115 bills = list(b.BILL.unique())116 for bill in bills:117 print(bill)118 print('------------------------')119# z = 500120members_500 = []121get_metadata('COMMUTATION OF TITHES', '1836-03-25', members_500)122get_metadata('LEASEHOLD S ENFRANCHISEMENT', '1889-05-01', members_500)123get_metadata('SECOND READING', '1890-03-27', members_500)124get_metadata('TITHE RENT-CHARGE RECOVERY', '1889-08-12', members_500)125get_metadata('TITHE RENT-CHARGE RECOVERY', '1889-08-13', members_500)126get_metadata('COMMUTATION OF TITHES, \(ENGLAND.\)', '1835-03-24', members_500)127get_metadata('TITHES \(IRELAND\) MINISTBEIAL PLAN', '1832-07-05', members_500)128get_metadata('TENANTS IN TOWNS IMPROVEMENT \(IRELAND\) BILL', '1900-04-04', members_500)129get_metadata('TITHES \(IRELAND\)', '1834-05-02', members_500)130get_metadata('TITHES \(IRELAND\)', '1834-02-20', members_500)131# get_metadata('COMMITTEE', '1890-06-05')132# get_metadata('SECOND READING ADJOURNED DEBATE', '1890-03-28')133# get_metadata('COMMITTEE', '1887-07-25')134# z = 0135members_0 = []136get_metadata('IRISH LAND COMMISSION', '1897-06-29', members_0)137get_metadata('IRISH LAND COMMISSION', '1897-06-25', members_0)138get_metadata('IRISH LAND COMMISSION FAIR RENTS, CO. WESTMEATH.', '1888-04-30', members_0)139get_metadata('FAIR RENT APPEALS IN COUNTY ANTRIM', '1899-07-27', members_0)140get_metadata('LAND COMMISSION \(KING\'S COUNTY\)', '1897-02-11', members_0)141get_metadata('Fair Rent Cases in County Roscommon', '1904-03-22', members_0)142get_metadata('COUNTY DOWN LAND COMMISSION', '1900-02-16', members_0)143get_metadata('JUDICIAL RENTS \(COUNTY MONAGHAN\)', '1896-08-11', members_0)144get_metadata('North Tipperary Land Court', '1904-03-07', members_0)145get_metadata('Listowel Fair Rent Applications', '1908-07-31', members_0)146get_metadata('FERMANAGH RENT APPEALS', '1901-03-04', members_0)147get_metadata('IRISH LAND COMMISSION WEXFORD', '1888-03-05', members_0)148get_metadata('FAIR RENT APPEALS IN CORK', '1900-07-24', members_0)149get_metadata('CORK LAND COMMISSION', '1900-07-27', members_0)150# get_metadata('NEXT SITTING AT LONGFORD OF APPEAL COURT OF LAND COMMISSION', '1906-11-14')151# get_metadata('MIDLETON FAIR RENT APPLICATIONS', '1907-02-14')152print('-----# of members in z500: {}-----'.format(len(members_500)))153for member in members_500:154 print(member)155print('-----# of members in z500: {}-----'.format(len(members_500)))156print('-----# of members in z0: {}-----'.format(len(members_0)))157for member in members_0:158 print(member)...
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