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How to use test_yaml method in avocado
Best Python code snippet using avocado_python
test_structure_parse.py
Source:test_structure_parse.py 
1#!/usr/bin/env python32import unittest3from pathlib import Path4import numpy as np5import yaml6from icecream import ic7from numpy.testing import assert_allclose8import figure_comp.coordinate_tracking as ct9import figure_comp.structure_comp as sc10import figure_comp.structure_parse as sp11from figure_comp.load_image import Label12from figure_comp.tests.test_coordinate_tracking import get_coords13project_dir = Path(__file__).resolve().parent14test_im_dir = project_dir / "test_im/"15paths = [16 test_im_dir / "square-im-1.png",17 test_im_dir / "square-im-2.png",18 test_im_dir / "square-im-3.png",19 test_im_dir / "square-im-4.png",20 test_im_dir / "square-im-5.png",21 test_im_dir / "rect-im-1.png",22 test_im_dir / "rect-im-2.png",23 test_im_dir / "rect-im-3.png",24]25im_paths = [Path(p) for p in paths]26class TestYamlParsing(unittest.TestCase):27 def test_manual_simple_parse(self):28 """ Experiment with a simple yaml structure. """29 test_yaml = """30 - Row:31 - /path/one32 - /path/two33 - options:34 max_size: 2035 new_size: 4536 """37 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)[0]38 self.assertTrue("Row" in test_config)39 # Any strings are presumed to be file paths40 row_info = test_config["Row"]41 paths_test = [r for r in row_info if isinstance(r, str)]42 paths_expected = ["/path/one", "/path/two"]43 self.assertEqual(paths_test, paths_expected)44 # Now read the options45 for row in row_info:46 if not isinstance(row, str) and "options" in row:47 options_test = row["options"]48 break49 else:50 raise AssertionError("Unable to read options from test yaml")51 options_expected = dict(max_size=20, new_size=45)52 self.assertEqual(options_test, options_expected)53 def test_simple_parse(self):54 """ Experiment with a simple yaml structure. """55 test_yaml = """56 - Row:57 - /path/one58 - /path/two59 """60 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)61 figure_test = sp.parse_yaml(test_config, dry=True)62 leaf_expected = (63 "Row",64 [ct.Pos("/path/one"), ct.Pos("/path/two")],65 )66 self.assertEqual(figure_test, leaf_expected)67 def test_nested_parse(self):68 """ A structure with a column within a row. """69 test_yaml = """70 - Row:71 - /path/one72 - /path/two73 - Col:74 - /path/three75 - /path/four76 """77 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)78 figure_test = sp.parse_yaml(test_config, dry=True)79 nested_leaf = ("Col", [ct.Pos("/path/three"), ct.Pos("/path/four")])80 leaf_expected = (81 "Row",82 [ct.Pos("/path/one"), ct.Pos("/path/two"), nested_leaf],83 )84 self.assertEqual(figure_test, leaf_expected)85 def test_nested_double_parse(self):86 """ A structure with two columns within a row. """87 test_yaml = """88 - Row:89 - Col:90 - /path/one91 - /path/two92 - /path/five93 - Col:94 - /path/three95 - /path/four96 """97 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)98 figure_test = sp.parse_yaml(test_config, dry=True)99 first_col = ("Col", [ct.Pos("/path/one"), ct.Pos("/path/two")])100 second_col = ("Col", [ct.Pos("/path/three"), ct.Pos("/path/four")])101 leaf_expected = (102 "Row",103 [first_col, ct.Pos("/path/five"), second_col],104 )105 self.assertEqual(figure_test, leaf_expected)106class TestAssembleStruct(unittest.TestCase):107 def test_simple_parse(self):108 """ Assemble an image from a simple structure. """109 im_one = Path("tests/test_im/square-im-1.png").resolve()110 im_two = Path("tests/test_im/square-im-2.png").resolve()111 test_yaml = f"""112 - Row:113 - {im_one}114 - {im_two}115 """116 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)117 pos_test = sp.parse_yaml(test_config)118 pos_expected = [ct.Pos(path=p.resolve()) for p in [im_one, im_two]]119 # Test outer layer120 self.assertTrue(isinstance(pos_test, sc.Row))121 # Test that arrays are the same122 for im_test, im_expected in zip(pos_test.cont, pos_expected):123 self.assertEqual(im_test, im_expected)124 self.assertEqual(len(pos_test.cont), len(pos_expected))125 def test_nested_parse(self):126 """ Assemble an image from a nested structure. """127 paths = [128 "tests/test_im/square-im-1.png",129 "tests/test_im/square-im-2.png",130 "tests/test_im/square-im-3.png",131 "tests/test_im/square-im-4.png",132 ]133 im_paths = [Path(p).resolve() for p in paths]134 test_yaml = f"""135 - Row:136 - {im_paths[0]}137 - {im_paths[1]}138 - Col:139 - {im_paths[2]}140 - {im_paths[3]}141 """142 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)143 figure_test = sp.parse_yaml(test_config, dry=True)144 ims = [ct.Pos(path=p.resolve()) for p in im_paths]145 # Test outer layer146 header_test = figure_test[0]147 header_expected = "Row"148 self.assertEqual(header_test, header_expected)149 body = figure_test[1]150 self.assertEqual(body[0], ims[0])151 self.assertEqual(body[1], ims[1])152 inner_col = body[2][1]153 self.assertEqual(inner_col[0], ims[2])154 self.assertEqual(inner_col[1], ims[3])155 def test_nested_double_parse(self):156 """ Assemble a structure with two columns within a row. """157 paths = [158 "tests/test_im/square-im-1.png",159 "tests/test_im/square-im-2.png",160 "tests/test_im/square-im-3.png",161 "tests/test_im/square-im-4.png",162 "tests/test_im/square-im-5.png",163 ]164 im_paths = [Path(p).resolve() for p in paths]165 ims = [ct.Pos(path=p) for p in im_paths]166 test_yaml = f"""167 - Row:168 - Col:169 - {im_paths[0]}170 - {im_paths[1]}171 - {im_paths[4]}172 - Col:173 - {im_paths[2]}174 - {im_paths[3]}175 """176 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)177 figure_test = sp.parse_yaml(test_config, dry=True)178 # Middle column with single image179 main_body = figure_test[1]180 self.assertEqual(main_body[1], ims[4])181 # First column182 col_one = main_body[0][1]183 self.assertEqual(col_one[0], ims[0])184 self.assertEqual(col_one[1], ims[1])185 # Final column186 col_two = main_body[2][1]187 self.assertEqual(col_two[0], ims[2])188 self.assertEqual(col_two[1], ims[3])189 def test_nested_double_short(self):190 """ Assemble a structure with two columns within a row using shortened notation. """191 paths = [192 "tests/test_im/square-im-1.png",193 "tests/test_im/square-im-2.png",194 "tests/test_im/square-im-3.png",195 "tests/test_im/square-im-4.png",196 "tests/test_im/square-im-5.png",197 ]198 im_paths = [Path(p).resolve() for p in paths]199 ims = [ct.Pos(path=p) for p in im_paths]200 test_yaml = f"""201 - Row:202 - Col: [{im_paths[0]}, {im_paths[1]}]203 - {im_paths[4]}204 - Col: [{im_paths[2]}, {im_paths[3]}]205 """206 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)207 figure_test = sp.parse_yaml(test_config, dry=True)208 # Middle column with single image209 main_body = figure_test[1]210 self.assertEqual(main_body[1], ims[4])211 # First column212 col_one = main_body[0][1]213 self.assertEqual(col_one[0], ims[0])214 self.assertEqual(col_one[1], ims[1])215 # Final column216 col_two = main_body[2][1]217 self.assertEqual(col_two[0], ims[2])218 self.assertEqual(col_two[1], ims[3])219 def test_nested_four_level(self):220 """ Read options in a nested element. """221 paths = [222 "tests/test_im/rect-im-1.png",223 "tests/test_im/rect-im-2.png",224 "tests/test_im/rect-im-3.png",225 "tests/test_im/square-im-3.png",226 "tests/test_im/square-im-4.png",227 "tests/test_im/square-im-5.png",228 "tests/test_im/rect-im-3.png",229 ]230 im_paths = [Path(p) for p in paths]231 test_yaml = f"""232 - Row:233 - Col:234 - {im_paths[0]}235 - Row:236 - {im_paths[3]}237 - Col:238 - {im_paths[0]}239 - {im_paths[2]}240 - {im_paths[4]}241 """242 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)243 figure_test = sp.parse_yaml(test_config)244 def test_simple_parse_flow(self):245 """ Read options in the simplest case with the space saving format. """246 im_one = Path("tests/test_im/square-im-1.png")247 im_two = Path("tests/test_im/square-im-2.png")248 test_yaml = f"""249 - Row:250 - {im_one}: {{text: "test-label"}}251 - {im_two}252 """253 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)254 figure_test = sp.parse_yaml(test_config)255 label_expected = "test-label"256 label_test = figure_test[0].label.text257 self.assertEqual(label_test, label_expected)258 def test_tri_array_merge(self):259 """ Investigate rescaling of PosArray """260 test_yaml = """261 - Row:262 - 1.png263 - Col:264 - 2.png265 - Row:266 - 3.png267 - 4.png268 """269 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)270 pos_arr = sp.parse_yaml(test_config).run()271 # Widths of the squares in decreasing size272 full_width = 50273 med_width = 50 * (2 / 3)274 sma_width = med_width / 2275 x_test = get_coords(pos_arr, "x")276 x_expected = [0, full_width, full_width, full_width + sma_width]277 assert_allclose(x_test, x_expected)278 y_test = get_coords(pos_arr, "y")279 y_expected = [0, 0, med_width, med_width]280 assert_allclose(y_test, y_expected)281 dx_test = get_coords(pos_arr, "dx")282 dx_expected = [full_width, med_width, sma_width, sma_width]283 assert_allclose(dx_test, dx_expected)284 dy_test = get_coords(pos_arr, "dy")285 dy_expected = [full_width, med_width, sma_width, sma_width]286 assert_allclose(dy_test, dy_expected)287class TestAssembleOptions(unittest.TestCase):288 """ Test parsing of options and figure labels. """289 def test_simple_parse_options(self):290 """ Read options in the simplest case. """291 test_yaml = f"""292 - Row:293 - {paths[0]}:294 text: "a."295 pos: (0.1, 0.1)296 - Col:297 - {paths[1]}298 - {paths[2]}299 - Row:300 - {paths[3]}301 - {paths[4]}302 """303 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)[0]304 def _parse_complex_path(leaf):305 """ Parse a path with labels: """306 for path, labels in leaf.items():307 if "pos" in labels:308 pos_str = labels["pos"].strip("()")309 pos = np.fromstring(pos_str, sep=", ")310 labels.pop("pos")311 else:312 pos = None313 label = Label(**labels, pos=pos)314 return ct.Pos(path, label)315 def _parse_path(leaf):316 """ Parse a simple path into a path. """317 return ct.Pos(leaf)318 def _is_subbranch(leaf):319 return "Col" in leaf or "Row" in leaf320 def read_branch(branch, dry=False):321 struct = []322 header = "Row" if "Row" in branch else "Col"323 header_struct = sc.Row if header == "Row" else sc.Col324 for entry in branch[header]:325 if isinstance(entry, str):326 struct.append(_parse_path(entry))327 elif _is_subbranch(entry):328 struct.append(read_branch(entry, dry=dry))329 elif isinstance(entry, dict):330 struct.append(_parse_complex_path(entry))331 else:332 raise ValueError("Unable to parse branch")333 if dry:334 return (header, struct)335 return header_struct(struct)336 struct = read_branch(test_config).run()337 struct.populate("/tmp/new_parse.png")338 def test_parse_global_opts(self):339 """ Test that we can read global options. """340 test_yaml = f"""341 - Row:342 - {paths[0]}343 - Col:344 - {paths[1]}345 - {paths[2]}346 - Row:347 - {paths[3]}348 - {paths[4]}349 - Options:350 - size: 45351 """352 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)353 pos_arr = sp.parse_yaml(test_config).run()354 labels = get_coords(pos_arr, "label")355 sizes_test = [l.size for l in labels]356 sizes_expected = np.ones(5) * 45357 assert_allclose(sizes_test, sizes_expected)358 def test_parse_global_override(self):359 """ Test that we can override a global options. """360 test_yaml = f"""361 - Row:362 - {paths[0]}363 - Col:364 - {paths[1]}: {{size: 10}}365 - {paths[2]}366 - Row:367 - {paths[3]}368 - {paths[4]}369 - Options:370 - size: 45371 """372 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)373 pos_arr = sp.parse_yaml(test_config).run()374 labels = get_coords(pos_arr, "label")375 sizes_test = [l.size for l in labels]376 sizes_expected = np.ones(5) * 45377 sizes_expected[1] = 10378 assert_allclose(sizes_test, sizes_expected)379 def test_parse_global_labels(self):380 """ Test that we parse the default label gen. """381 test_yaml = f"""382 - Row:383 - {paths[0]}384 - Col:385 - {paths[1]}386 - {paths[2]}387 - Row:388 - {paths[3]}389 - {paths[4]}390 - Options:391 - default_label: "{{index+1}}."392 - size: 18393 """394 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)395 pos_arr = sp.parse_yaml(test_config).run()396 labels = get_coords(pos_arr, "label")397 text_test = [l.text for l in labels]398 text_expected = [f"{i+1}." for i in range(5)]399 self.assertEqual(text_test, text_expected)400 sizes_test = [l.size for l in labels]401 sizes_expected = np.ones(5) * 18402 assert_allclose(sizes_test, sizes_expected)403 def test_parse_global_label_override(self):404 """ Test that we parse the default label gen with an override. """405 test_yaml = f"""406 - Row:407 - {paths[0]}408 - Col:409 - {paths[1]}410 - {paths[2]}:411 text: "A"412 - Row:413 - {paths[3]}414 - {paths[4]}415 - Options:416 - default_label: "{{index+1}}."417 """418 test_config = yaml.load(test_yaml, Loader=yaml.FullLoader)419 pos_arr = sp.parse_yaml(test_config).run()420 labels = get_coords(pos_arr, "label")421 text_test = [l.text for l in labels]422 text_expected = [f"{i+1}." for i in range(5)]423 text_expected[2] = "A"424 self.assertEqual(text_test, text_expected)425if __name__ == "__main__":...
test_reds.py
Source:test_reds.py
1import imp2import yaml3import datetime4import pytz5from freezegun import freeze_time6reds = imp.load_source('reds', './reds/reds.py')7a = reds.reds()8#details9unsupported_multi_az_available = {10 "MultiAZ": True,11 "DBInstanceStatus": "available",12 "DBInstanceClass": "db.r3.large",13 }14micro_single_az_available = {15 "MultiAZ": False,16 "DBInstanceStatus": "available",17 "DBInstanceClass": "db.t2.micro",18 }19micro_multi_az_available = {20 "MultiAZ": True,21 "DBInstanceStatus": "available",22 "DBInstanceClass": "db.t2.micro",23 }24micro_multi_az_modifying = {25 "MultiAZ": True,26 "DBInstanceStatus": "modifying",27 "DBInstanceClass": "db.t2.micro",28 }29medium_multi_az_available = {30 "MultiAZ": True,31 "DBInstanceStatus": "available",32 "DBInstanceClass": "db.m3.medium",33 }34m4xl_multi_az_available = {35 "MultiAZ": True,36 "DBInstanceStatus": "available",37 "DBInstanceClass": "db.m4.xlarge",38 }39#alarm_status40high_cpu = {41 "MetricAlarms": [{42 "AlarmDescription": "CPU High Alarm",43 "StateValue": "ALARM",44 }, {45 "AlarmDescription": "CPU Low Alarm",46 "StateValue": "OK",47 }, {48 "AlarmDescription": "CPU Credits Exhausted Alarm",49 "StateValue": "OK",50 }]51}52low_cpu = {53 "MetricAlarms": [{54 "AlarmDescription": "CPU High Alarm",55 "StateValue": "OK",56 }, {57 "AlarmDescription": "CPU Low Alarm",58 "StateValue": "ALARM",59 }, {60 "AlarmDescription": "CPU Credits Exhausted Alarm",61 "StateValue": "OK",62 }]63}64credits_low = {65 "MetricAlarms": [{66 "AlarmDescription": "CPU High Alarm",67 "StateValue": "OK",68 }, {69 "AlarmDescription": "CPU Low Alarm",70 "StateValue": "OK",71 }, {72 "AlarmDescription": "CPU Credits Exhausted Alarm",73 "StateValue": "ALARM",74 }]75}76high_cpu_credits_low = {77 "MetricAlarms": [{78 "AlarmDescription": "CPU High Alarm",79 "StateValue": "ALARM",80 }, {81 "AlarmDescription": "CPU Low Alarm",82 "StateValue": "OK",83 }, {84 "AlarmDescription": "CPU Credits Exhausted Alarm",85 "StateValue": "ALARM",86 }]87}88no_alarm = {89 "MetricAlarms": [{90 "AlarmDescription": "CPU High Alarm",91 "StateValue": "OK",92 }, {93 "AlarmDescription": "CPU Low Alarm",94 "StateValue": "OK",95 }, {96 "AlarmDescription": "CPU Credits Exhausted Alarm",97 "StateValue": "OK",98 }]99}100#events101friday_midday_update = {102 "Events": [{103 "Date": datetime.datetime(2016, 1, 1, 18, 0, 0, 0, tzinfo=pytz.utc),104 "Message": "Applying modification to database instance class",105 "SourceIdentifier": "mixhop-rds-master",106 "EventCategories": ["configuration change"],107 "SourceType": "db-instance"108 },109 {110 "Date": datetime.datetime(2016, 1, 1, 18, 30, 0, 0, tzinfo=pytz.utc),111 "Message": "Finished applying modification to DB instance class",112 "SourceIdentifier": "mixhop-rds-master",113 "EventCategories": ["configuration change"],114 "SourceType": "db-instance"115 }]116}117saturday_midday_update = {118 "Events": [{119 "Date": datetime.datetime(2016, 1, 2, 18, 0, 0, 0, tzinfo=pytz.utc),120 "Message": "Applying modification to database instance class",121 "SourceIdentifier": "mixhop-rds-master",122 "EventCategories": ["configuration change"],123 "SourceType": "db-instance"124 },125 {126 "Date": datetime.datetime(2016, 1, 2, 18, 30, 0, 0, tzinfo=pytz.utc),127 "Message": "Finished applying modification to DB instance class",128 "SourceIdentifier": "mixhop-rds-master",129 "EventCategories": ["configuration change"],130 "SourceType": "db-instance"131 }]132}133no_update = {134 "Events": []135}136def get_vars(extra=None):137 suffix = extra if extra else ""138 return [yaml.load(file("./tests/test_vars{}.yaml".format(suffix))),yaml.load(file('./tests/test_alarms.yaml'))]139@freeze_time("2016-01-01 19:30:00", tz_offset=0)140def test_noop_on_single_az():141 test_yaml = get_vars()142 a.testing_startup(test_yaml[0], test_yaml[1],143 micro_single_az_available, high_cpu, friday_midday_update)144 assert(a.result['Action'] == 'NO_ACTION')145 assert(a.result['Message'] == 'Unable to work on singleAZ RDS!')146@freeze_time("2016-01-02 19:30:00", tz_offset=0)147def test_increase_on_high_alarm():148 test_yaml = get_vars()149 a.testing_startup(test_yaml[0], test_yaml[1],150 micro_multi_az_available, high_cpu, friday_midday_update)151 assert(a.result['Action'] == 'RESIZE')152 assert(a.result['Message'] == 'db.t2.small')153@freeze_time("2016-01-02 19:30:00", tz_offset=0)154def test_decrease_on_low_alarm():155 test_yaml = get_vars()156 a.testing_startup(test_yaml[0], test_yaml[1],157 medium_multi_az_available, low_cpu, friday_midday_update)158 assert(a.result['Action'] == 'RESIZE')159 assert(a.result['Message'] == 'db.t2.small')160@freeze_time("2016-01-02 19:30:00", tz_offset=0)161def test_noop_on_low_alarm_at_bottom():162 test_yaml = get_vars()163 a.testing_startup(test_yaml[0], test_yaml[1],164 micro_multi_az_available, low_cpu, friday_midday_update)165 assert(a.result['Action'] == 'NO_ACTION')166 assert(a.result['Message'] == 'Unable to scale - invalid to_index: -1')167@freeze_time("2016-01-02 19:30:00", tz_offset=0)168def test_noop_on_high_alarm_at_top():169 test_yaml = get_vars()170 a.testing_startup(test_yaml[0], test_yaml[1],171 m4xl_multi_az_available, high_cpu, friday_midday_update)172 assert(a.result['Action'] == 'NO_ACTION')173 assert(a.result['Message'] == 'Unable to scale - invalid to_index: 5')174@freeze_time("2016-01-02 19:30:00", tz_offset=0)175def test_credits_processed_before_low_and_multiple_index_up_jump():176 test_yaml = get_vars()177 a.testing_startup(test_yaml[0], test_yaml[1],178 micro_multi_az_available, high_cpu_credits_low, friday_midday_update)179 assert(a.result['Action'] == 'RESIZE')180 assert(a.result['Message'] == 'db.m3.medium')181@freeze_time("2016-01-01 19:30:00", tz_offset=0)182def test_in_scheduled_scale_out_micro_to_medium_no_alarm():183 test_yaml = get_vars()184 a.testing_startup(test_yaml[0], test_yaml[1],185 micro_multi_az_available, no_alarm, no_update)186 assert(a.result['Action'] == 'RESIZE')187 assert(a.result['Message'] == 'db.m3.medium')188@freeze_time("2016-01-01 19:30:00", tz_offset=0)189def test_in_scheduled_scale_out_medium_to_large_high_alarm():190 test_yaml = get_vars()191 a.testing_startup(test_yaml[0], test_yaml[1],192 medium_multi_az_available, high_cpu, no_update)193 assert(a.result['Action'] == 'RESIZE')194 assert(a.result['Message'] == 'db.m4.large')195@freeze_time("2016-01-02 19:30:00", tz_offset=0)196def test_out_scheduled_scale_down_medium_to_small_low_alarm():197 test_yaml = get_vars()198 a.testing_startup(test_yaml[0], test_yaml[1],199 medium_multi_az_available, low_cpu, no_update)200 assert(a.result['Action'] == 'RESIZE')201 assert(a.result['Message'] == 'db.t2.small')202@freeze_time("2016-01-02 18:45:00", tz_offset=0)203def test_blocked_recent_down():204 test_yaml = get_vars()205 a.testing_startup(test_yaml[0], test_yaml[1],206 medium_multi_az_available, low_cpu, saturday_midday_update)207 assert(a.result['Action'] == 'NO_ACTION')208 assert(a.result['Message'] == 'scale_down Cooldown threshold not reached')209@freeze_time("2016-01-02 18:35:00", tz_offset=0)210def test_blocked_recent_up():211 test_yaml = get_vars()212 a.testing_startup(test_yaml[0], test_yaml[1],213 medium_multi_az_available, high_cpu, saturday_midday_update)214 assert(a.result['Action'] == 'NO_ACTION')215 assert(a.result['Message'] == 'scale_up Cooldown threshold not reached')216@freeze_time("2016-01-02 18:55:00", tz_offset=0)217def test_allow_recent_up():218 test_yaml = get_vars()219 a.testing_startup(test_yaml[0], test_yaml[1],220 medium_multi_az_available, high_cpu, saturday_midday_update)221 assert(a.result['Action'] == 'RESIZE')222 assert(a.result['Message'] == 'db.m4.large')223@freeze_time("2016-01-02 18:45:00", tz_offset=0)224def test_blocked_busy():225 test_yaml = get_vars()226 a.testing_startup(test_yaml[0], test_yaml[1],227 micro_multi_az_modifying, {}, {})228 assert(a.result['Action'] == 'NO_ACTION')229 assert(a.result['Message'] == 'In middle of an operation already!')230@freeze_time("2016-01-02 18:45:00", tz_offset=0)231def test_blocked_unsupported():232 test_yaml = get_vars()233 a.testing_startup(test_yaml[0], test_yaml[1],234 unsupported_multi_az_available, {}, {})235 assert(a.result['Action'] == 'NO_ACTION')236 assert(a.result['Message'] == 'Instance size not in list!')237@freeze_time("2016-01-02 18:45:00", tz_offset=0)238def test_scale_up_on_credit_low():239 test_yaml = get_vars()240 a.testing_startup(test_yaml[0], test_yaml[1],241 micro_multi_az_available, credits_low, friday_midday_update)242 assert(a.result['Action'] == 'RESIZE')243 assert(a.result['Message'] == 'db.m3.medium')244@freeze_time("2016-01-02 18:45:00", tz_offset=0)245def test_nothing_to_do():246 test_yaml = get_vars()247 a.testing_startup(test_yaml[0], test_yaml[1],248 micro_multi_az_available, no_alarm, no_update)249 assert(a.result['Action'] == 'NO_ACTION')250 assert(a.result['Message'] == 'Nothing to do')251@freeze_time("2016-01-02 18:45:00", tz_offset=0)252def test_scaling_disabled_scale_up():253 test_yaml = get_vars('_disabled')254 a.testing_startup(test_yaml[0], test_yaml[1],255 micro_multi_az_available, high_cpu, no_update)256 assert(a.result['Action'] == 'NO_ACTION')257 assert(a.result['Message'] == 'Resizing disabled')258@freeze_time("2016-01-02 18:45:00", tz_offset=0)259def test_scaling_disabled_scale_down():260 test_yaml = get_vars('_disabled')261 a.testing_startup(test_yaml[0], test_yaml[1],262 medium_multi_az_available, low_cpu, no_update)263 assert(a.result['Action'] == 'NO_ACTION')264 assert(a.result['Message'] == 'Resizing disabled')265@freeze_time("2016-01-01 18:45:00", tz_offset=0)266def test_prevent_scale_down_during_scheduled():267 test_yaml = get_vars()268 a.testing_startup(test_yaml[0], test_yaml[1],269 medium_multi_az_available, low_cpu, no_update)270 assert(a.result['Action'] == 'NO_ACTION')271 assert(a.result['Message'] == 'Already at bottom for size during scheduled scale up')272@freeze_time("2016-01-01 19:30:00", tz_offset=0)273def test_invalid_index():274 test_yaml = get_vars('_invalid_index')275 a.testing_startup(test_yaml[0], test_yaml[1],276 medium_multi_az_available, high_cpu, no_update)277 assert(a.result['Action'] == 'NO_ACTION')...
test_dataset_iterators.py
Source:test_dataset_iterators.py
1"""2Test cross-validation dataset iterators.3"""4from pylearn2.config import yaml_parse5from pylearn2.testing.skip import skip_if_no_sklearn6def test_dataset_k_fold():7 """Test DatasetKFold."""8 skip_if_no_sklearn()9 mapping = {'dataset_iterator': 'DatasetKFold'}10 test_yaml = test_yaml_dataset_iterator % mapping11 trainer = yaml_parse.load(test_yaml)12 trainer.main_loop()13def test_stratified_dataset_k_fold():14 """Test StratifiedDatasetKFold."""15 skip_if_no_sklearn()16 mapping = {'dataset_iterator': 'StratifiedDatasetKFold'}17 test_yaml = test_yaml_dataset_iterator % mapping18 trainer = yaml_parse.load(test_yaml)19 trainer.main_loop()20def test_dataset_shuffle_split():21 """Test DatasetShuffleSplit."""22 skip_if_no_sklearn()23 mapping = {'dataset_iterator': 'DatasetShuffleSplit'}24 test_yaml = test_yaml_dataset_iterator % mapping25 trainer = yaml_parse.load(test_yaml)26 trainer.main_loop()27def test_stratified_dataset_shuffle_split():28 """Test StratifiedDatasetShuffleSplit."""29 skip_if_no_sklearn()30 mapping = {'dataset_iterator': 'StratifiedDatasetShuffleSplit'}31 test_yaml = test_yaml_dataset_iterator % mapping32 trainer = yaml_parse.load(test_yaml)33 trainer.main_loop()34def test_dataset_validation_k_fold():35 """Test DatasetValidKFold."""36 skip_if_no_sklearn()37 mapping = {'dataset_iterator': 'DatasetValidationKFold'}38 test_yaml = test_yaml_dataset_iterator % mapping39 trainer = yaml_parse.load(test_yaml)40 trainer.main_loop()41def test_stratified_dataset_validation_k_fold():42 """Test StratifiedDatasetValidKFold."""43 skip_if_no_sklearn()44 mapping = {'dataset_iterator': 'StratifiedDatasetValidationKFold'}45 test_yaml = test_yaml_dataset_iterator % mapping46 trainer = yaml_parse.load(test_yaml)47 trainer.main_loop()48def test_dataset_validation_shuffle_split():49 """Test DatasetValidShuffleSplit."""50 skip_if_no_sklearn()51 mapping = {'dataset_iterator': 'DatasetValidationShuffleSplit'}52 test_yaml = test_yaml_dataset_iterator % mapping53 trainer = yaml_parse.load(test_yaml)54 trainer.main_loop()55def test_stratified_dataset_validation_shuffle_split():56 """Test StratifiedDatasetValidShuffleSplit."""57 skip_if_no_sklearn()58 mapping = {'dataset_iterator': 'StratifiedDatasetValidationShuffleSplit'}59 test_yaml = test_yaml_dataset_iterator % mapping60 trainer = yaml_parse.load(test_yaml)61 trainer.main_loop()62def test_which_set():63 """Test which_set selector."""64 skip_if_no_sklearn()65 # one label66 this_yaml = test_yaml_which_set % {'which_set': 'train'}67 trainer = yaml_parse.load(this_yaml)68 trainer.main_loop()69 # multiple labels70 this_yaml = test_yaml_which_set % {'which_set': ['train', 'test']}71 trainer = yaml_parse.load(this_yaml)72 trainer.main_loop()73 # improper label (iterator only returns 'train' and 'test' subsets)74 this_yaml = test_yaml_which_set % {'which_set': 'valid'}75 try:76 trainer = yaml_parse.load(this_yaml)77 trainer.main_loop()78 raise AssertionError79 except ValueError:80 pass81 # bogus label (not in approved list)82 this_yaml = test_yaml_which_set % {'which_set': 'bogus'}83 try:84 yaml_parse.load(this_yaml)85 raise AssertionError86 except ValueError:87 pass88def test_no_targets():89 """Test cross-validation without targets."""90 skip_if_no_sklearn()91 trainer = yaml_parse.load(test_yaml_no_targets)92 trainer.main_loop()93test_yaml_dataset_iterator = """94!obj:pylearn2.cross_validation.TrainCV {95 dataset_iterator:96 !obj:pylearn2.cross_validation.dataset_iterators.%(dataset_iterator)s {97 dataset:98 !obj:pylearn2.testing.datasets.random_one_hot_dense_design_matrix99 {100 rng: !obj:numpy.random.RandomState { seed: 1 },101 num_examples: 100,102 dim: 10,103 num_classes: 2,104 },105 },106 model: !obj:pylearn2.models.autoencoder.Autoencoder {107 nvis: 10,108 nhid: 8,109 act_enc: 'sigmoid',110 act_dec: 'linear'111 },112 algorithm: !obj:pylearn2.training_algorithms.bgd.BGD {113 batch_size: 50,114 line_search_mode: 'exhaustive',115 conjugate: 1,116 termination_criterion:117 !obj:pylearn2.termination_criteria.EpochCounter {118 max_epochs: 1,119 },120 cost: !obj:pylearn2.costs.autoencoder.MeanSquaredReconstructionError {121 },122 },123}124"""125test_yaml_which_set = """126!obj:pylearn2.cross_validation.TrainCV {127 dataset_iterator:128 !obj:pylearn2.cross_validation.dataset_iterators.DatasetKFold {129 dataset:130 !obj:pylearn2.testing.datasets.random_one_hot_dense_design_matrix131 {132 rng: !obj:numpy.random.RandomState { seed: 1 },133 num_examples: 100,134 dim: 10,135 num_classes: 2,136 },137 which_set: %(which_set)s,138 },139 model: !obj:pylearn2.models.autoencoder.Autoencoder {140 nvis: 10,141 nhid: 8,142 act_enc: 'sigmoid',143 act_dec: 'linear'144 },145 algorithm: !obj:pylearn2.training_algorithms.bgd.BGD {146 batch_size: 50,147 line_search_mode: 'exhaustive',148 conjugate: 1,149 termination_criterion:150 !obj:pylearn2.termination_criteria.EpochCounter {151 max_epochs: 1,152 },153 cost: !obj:pylearn2.costs.autoencoder.MeanSquaredReconstructionError {154 },155 },156}157"""158test_yaml_no_targets = """159!obj:pylearn2.cross_validation.TrainCV {160 dataset_iterator:161 !obj:pylearn2.cross_validation.dataset_iterators.DatasetKFold {162 dataset:163 !obj:pylearn2.testing.datasets.random_dense_design_matrix164 {165 rng: !obj:numpy.random.RandomState { seed: 1 },166 num_examples: 100,167 dim: 10,168 num_classes: 0,169 },170 },171 model: !obj:pylearn2.models.autoencoder.Autoencoder {172 nvis: 10,173 nhid: 8,174 act_enc: 'sigmoid',175 act_dec: 'linear'176 },177 algorithm: !obj:pylearn2.training_algorithms.bgd.BGD {178 batch_size: 50,179 line_search_mode: 'exhaustive',180 conjugate: 1,181 termination_criterion:182 !obj:pylearn2.termination_criteria.EpochCounter {183 max_epochs: 1,184 },185 cost: !obj:pylearn2.costs.autoencoder.MeanSquaredReconstructionError {186 },187 },188}...
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