tag_regular_expressions module

tag_regular_expressions.iterationvars_regex_map = {'cp_rate': [{'regex': 'services-ca-((.\\..)|(.\\...))-cp-((.\\..)|(.\\...))', 'transform': <function <lambda>>}], 'limit': [{'regex': '\\$limit=.*?s', 'transform': <function <lambda>>}], 'period': [{'regex': '\\$period=.*?s', 'transform': <function <lambda>>}], 'sensors': [{'regex': '\\$sensorConf=.*?,', 'transform': <function <lambda>>}], 'simulationEnd': [{'regex': '\\$1=.*?s\\+.*?s', 'transform': <function <lambda>>}], 'simulationStart': [{'regex': '\\$simulationStart=.*?s', 'transform': <function <lambda>>}], 'traciStart': [{'regex': '\\$traciStart=.*?s', 'transform': <function <lambda>>}], 'v2x_rate': [{'regex': 'vehicles-((.\\..)|(.\\...))-plain-((.\\..\\.)|(.\\...\\.))', 'transform': <function <lambda>>}]}

This contains the mapping from the tag name to the regular expressions and transformation functions for the run attributes contained in the runAttr table. The tag name is the key for the dictionary and is mapped to a list of dictionaries, each of which will be checked against every row in the runAttr table. If the regular expression given under the regex key matches the value of the attrName column, the unary function defined in transform is applied to the value of the attrValue column. The result of the function is then assigned to the value of the tag.

tag_regular_expressions.parameters_regex_map = {'ca_rate': [{'regex': '\\*\\*\\.ca_rate', 'transform': <function <lambda>>}], 'ca_weight': [{'regex': '\\*\\.ca_weight', 'transform': <function <lambda>>}], 'cam_length': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.ExampleServiceCam\\.packetLength', 'transform': <function <lambda>>}], 'cp_rate': [{'regex': '\\*\\*\\.cp_rate', 'transform': <function <lambda>>}], 'cp_weight': [{'regex': '\\*\\.cp_weight', 'transform': <function <lambda>>}], 'cpm_length': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.ExampleServiceCpm\\.packetLength', 'transform': <function <lambda>>}], 'dcc': [{'regex': '\\*\\*\\.vanetza\\[\\*\\]\\.dcc\\.typename', 'transform': <function <lambda>>}], 'dcc_profile': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.dccProfile', 'transform': <function <lambda>>}], 'gen_rule': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.generationRule', 'transform': <function <lambda>>}], 'limit': [{'regex': '\\$limit=.*?s', 'transform': <function <lambda>>}], 'n_red': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.RedundancyMitigation_N_Redundancy', 'transform': <function <lambda>>}], 'p_red': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.RedundancyMitigation_P_Redundancy', 'transform': <function <lambda>>}], 'pathloss': [{'regex': '\\*\\.radioMedium\\.pathLossType', 'transform': <function <lambda>>}], 'plain_rate': [{'regex': '\\*\\*\\.plain_rate', 'transform': <function <lambda>>}], 'queueLength': [{'regex': '\\*\\*\\.vanetza\\[\\*\\]\\.dcc\\.queueLength', 'transform': <function <lambda>>}], 'red_mit': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.RedundancyMitigation_Method', 'transform': <function <lambda>>}], 's_red': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.RedundancyMitigation_S_Redundancy', 'transform': <function <lambda>>}], 'scheduler_parameter_alpha': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.facDcc\\.schedulerParameterAlpha', 'transform': <function <lambda>>}], 'traciStart': [{'regex': '\\*\\.traci\\.core\\.startTime', 'transform': <function <lambda>>}], 'v2x_rate': [{'regex': '\\*\\*\\.vehicle_rate', 'transform': <function <lambda>>}], 'w_red': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.RedundancyMitigation_W_Redundancy', 'transform': <function <lambda>>}], 'warmup': [{'regex': '\\$warmup-period=.*?s', 'transform': <function <lambda>>}], 'wd_red': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.CpService\\.RedundancyMitigation_WD_Redundancy', 'transform': <function <lambda>>}], 'wfq_scheduler': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.facDcc\\.useWfqScheduler', 'transform': <function <lambda>>}], 'wfq_selector': [{'regex': '\\*\\.node\\[\\*\\]\\.middleware\\.facDcc\\.useWfqSelector', 'transform': <function <lambda>>}]}

This contains the mapping from the tag name to the regular expressions and transformation functions for the value of the iterationvars attribute in the runAttr table. The tag name is the key for the dictionary and is mapped to a list of dictionaries, each of which will be checked against the value in the attrValue column of the row with the attrName of iterationvars in the runAttr table. If the regular expression given under the regex key matches the value of the attrValue column, the unary function defined in transform is applied to the value of the attrValue column. The result of the function is then assigned to the value of the tag.