xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

aeb4e027894850c0655d23c7ce721ab31bed5d19

73

py

Python

clib/utils/boolian.py

Swall0w/clib

46f659783d5a0a6ec5994c3c707c1cc8a7934385

[ "MIT" ]

1

2017-08-27T00:01:27.000Z

clib/utils/boolian.py

Swall0w/clib

46f659783d5a0a6ec5994c3c707c1cc8a7934385

[ "MIT" ]

49

2017-08-20T02:09:26.000Z

2017-12-31T11:58:27.000Z

clib/utils/boolian.py

Swall0w/clib

46f659783d5a0a6ec5994c3c707c1cc8a7934385

[ "MIT" ]

1

2017-12-08T08:31:38.000Z

import random def randombool(): return bool(random.getrandbits(1))

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0

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0.333333

true

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1

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1

0

7

4e27fbd3b1752dd502e2cfd605221c65efcf931b

25,799

py

Python

py4sos/transactional.py

manuGil/py4sos

ffd9d59847ba99e93dcdff883df18dac6d209bbe

[ "Apache-2.0" ]

null

py4sos/transactional.py

manuGil/py4sos

ffd9d59847ba99e93dcdff883df18dac6d209bbe

[ "Apache-2.0" ]

null

py4sos/transactional.py

manuGil/py4sos

ffd9d59847ba99e93dcdff883df18dac6d209bbe

[ "Apache-2.0" ]

null

""" Function for the SOS Transactional profile. This set of function format requests to publish and handle data in a SOS using a RESTful API. Requests need to be passed as the body of a HTTP request to the SOS server. When more than one syntax is allowed, requests as passed using XML version 2.0 Author: Manuel G. Garcia Created: 23-05-2017 """ # TODO: give better names to URIs when inserting sensors def insertSensor(offering, procedure, foi, sensor_type): """ Prepares the body of a InsertSensor request for JSON biding. :param offering: an instance of class Offering.Type object. :param Procedure: instance of class Procedure. type object. :param foi: feature of interest. Instance of FoI :param sensor_type: SensorType object :return: valid body for an InsertSensor request. """ # for JSON double quotes: \", or \u0022 # specify procedure ID: procedureID = 'http://www.geosmartcity.nl/test/procedure/' + str(procedure.pid) # URL format shortName = 'short name' #string longName = 'long name' #string # Offering values offName = offering.name #Offering name, double quoted offID = offering.fullId #URL format of full id if foi != None: # check if feature of interest should be declare featureID = 'http://www.geosmartcity.nl/test/featureOfInterest/' + str(foi.fid) # URL format cordX = foi.x # longitude degrees, float cordY = foi.y # latitude degrees, float height = foi.z # altitude in meters, float h_unit = foi.Hunit # units for horizontal coordinates z_unit = foi.Vunit # units for altitude else: pass op_name = procedure.name ObsProp = procedure.defn # URL, obs_types= [] output_list = '' # output list element for describe procedure properties_list = [] for a in sensor_type.pattern["attributes"]: ObsPropName = '\"' + a[0] + '\"' # attribute name # print(ObsPropName) unit_name = sensor_type.om_types[a[1]] # om type magnitud = a # ?? obs_name = ObsPropName.replace('\"', '') obs_name = "".join(obs_name.split())# observable property name output = '<sml:output name=' + ObsPropName + '><swe:Quantity definition=' + '\"' + (procedure.url + obs_name )+ '\"' + '></swe:Quantity></sml:output>' output_list = output_list + output properties_list.append(procedure.url + obs_name) # add property identifier to the list. # prepare list of measurement types # A sensor can not registry duplicated sensor types. this_type = "http://www.opengis.net/def/observationType/OGC-OM/2.0/"+unit_name if this_type not in obs_types: # when new type appears obs_types.append(this_type) else: continue # Unit of measurement: unit_name = '\"' + procedure.name + '\"' # double quoted string # unit = omType # one of the MO measurement types body = { "request" : "InsertSensor", "service" : "SOS", "version" : "2.0.0", "procedureDescriptionFormat" : "http://www.opengis.net/sensorML/1.0.1", "procedureDescription" : '<sml:SensorML xmlns:swes=\"http://www.opengis.net/swes/2.0\" xmlns:sos=\"http://www.opengis.net/sos/2.0\" xmlns:swe=\"http://www.opengis.net/swe/1.0.1\" xmlns:sml=\"http://www.opengis.net/sensorML/1.0.1\" xmlns:gml=\"http://www.opengis.net/gml\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" version=\"1.0.1\"><sml:member>' + '<sml:System><sml:identification><sml:IdentifierList><sml:identifier name=\"uniqueID\"><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:uniqueID\"><sml:value>' + procedureID + '</sml:value></sml:Term></sml:identifier><sml:identifier name=\"longName\"><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:longName\"><sml:value>' + longName + '</sml:value></sml:Term></sml:identifier><sml:identifier name=\"shortName\"><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:shortName\"><sml:value>' + shortName + '</sml:value></sml:Term></sml:identifier></sml:IdentifierList></sml:identification><sml:capabilities name=\"offerings\"><swe:SimpleDataRecord><swe:field name=' + offName + '><swe:Text definition=\"urn:ogc:def:identifier:OGC:offeringID\"><swe:value>'+ offID + '</swe:value></swe:Text></swe:field></swe:SimpleDataRecord></sml:capabilities><sml:capabilities name=\"featuresOfInterest\"><swe:SimpleDataRecord><swe:field name=\"featureOfInterestID\"><swe:Text><swe:value>'+ featureID + '</swe:value></swe:Text></swe:field></swe:SimpleDataRecord></sml:capabilities><sml:position name=\"sensorPosition\"><swe:Position referenceFrame=\"urn:ogc:def:crs:EPSG::4326\"><swe:location><swe:Vector gml:id=\"STATION_LOCATION\"><swe:coordinate name=\"easting\"><swe:Quantity axisID=\"x\"><swe:uom code=\"degree\"/><swe:value>'+ str(cordX) + '</swe:value></swe:Quantity></swe:coordinate><swe:coordinate name=\"northing\"><swe:Quantity axisID=\"y\"><swe:uom code=' + '\"' + h_unit + '\"' + ' /><swe:value>' + str(cordY) + '</swe:value></swe:Quantity></swe:coordinate><swe:coordinate name=\"altitude\"><swe:Quantity axisID=\"z\"><swe:uom code=' + '\"' + z_unit + '\"' + '/><swe:value>' + str(height) + '</swe:value></swe:Quantity></swe:coordinate></swe:Vector></swe:location></swe:Position></sml:position><sml:inputs><sml:InputList><sml:input name=' + '\"' + op_name + '\"' + '><swe:ObservableProperty definition=' + '\"' + ObsProp + '\"' + '/></sml:input></sml:InputList></sml:inputs><sml:outputs><sml:OutputList>' + output_list + '</sml:OutputList></sml:outputs></sml:System></sml:member></sml:SensorML>', "observableProperty": properties_list, # "observationType": obs_types, "featureOfInterestType" : "http://www.opengis.net/def/samplingFeatureType/OGC-OM/2.0/SF_SamplingPoint"} return body def insertObservation(observation, foi, to_offering, with_procedure, observed_property=str, geom=True): ''' Prepares the body of InsertObservation request using JSON binding :param Offering: pre-existing offering in the OSO :param to_procedure: existing procedure for the observation :param observation: observation object :param observed_property: property to which this observation belongs to :return: body for a insert observatio request in JSON ''' # Observation offering # a URI to the offering description offId = to_offering.id # of any type offering = "http://www.geosmartcity.nl/test/offering/" + str(offId) # Observation ID obsId = observation.id # of any type observationId = "http://www.geosmartcity.nl/test/observation/" + str(obsId) # Selected measurement type. omtype = observation.uom mtype = "http://www.opengis.net/def/observationType/OGC-OM/2.0/" + omtype # Procedure # The procedure should be previously declared in 'InsertSensor' # An URI to the procedure description. Any type of URL proc = "http://www.geosmartcity.nl/test/procedure/" + str(with_procedure.pid) # declared in procedure description # One of any type of URI observedProp = "http://www.geosmartcity.nl/test/observableProperty/" + "".join(observed_property.split()) # ID for Feature of Interest for current observation # Of any type URI featureID = "http://www.geosmartcity.nl/test/featureOfInterest/" + str(foi.fid) featureName= "Name for " + str(foi.fid) # string identifying the name of the feature of interest # Geometry type for the feature of interest. Most of the time 'Point'. featureType = 'Point' # one of any of the types from the Simple Access Feature Model # geometry property of feature of interest. featureCord = [foi.y, foi.x] # Latitude, Longitude := (Y, X) #Phenomenon, Declare unit of measurements and values. # Elements should be in accordance with the MO type. # For most real time observations PhenomenonTime and resultTime are (practically) the same. phenomenonTime = observation.phTime # Time at which observation started resultTime = observation.rTime # Time at which result of observation was generates # Unit of measurement for observation value, when declaring a OM_Measurement mag = observation.unit # for category observation codespace = 'codespace' # Observed value for the declared time # Should be of proper data type for OM type phenomenonValue = observation.Value #example for OM_Measurement result = '' # More conditions are need for other OM types if omtype == "OM_Measurement": result = {"uom": mag, "value": phenomenonValue} elif omtype == "OM_CategoryObservation": result = {"codespace": codespace, "value": phenomenonValue} elif omtype == "OM_GeometryObservation": result = {"type": "Point", "coordinates": [foi.x, foi.y]} else: # CountObservation, TruthObservation, TextObservation result = phenomenonValue if geom is True: # prepare body including feature of interest declaration body = { "request": "InsertObservation", "service": "SOS", "version": "2.0.0", "offering": offering, "observation": { # optionally a list of observation. "identifier": { "value": observationId, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" }, "type": mtype, "procedure": proc, "observedProperty": observedProp, #One defined in procedure description "featureOfInterest": { "identifier": { "value": featureID, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" }, "name": [ { "value": featureName, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" } ], "sampledFeature": [ "http://www.52north.org/test/featureOfInterest/world" ], "geometry": { "type": featureType, "coordinates": featureCord , "crs": { "type": "name", "properties": { "name": "EPSG:4326" } } } }, "phenomenonTime": phenomenonTime, "resultTime": resultTime, # Result elements depend of type of MO "result": result } } else: # prepare body WITHOUT feature of interest declaration body = { "request": "InsertObservation", "service": "SOS", "version": "2.0.0", "offering": offering, "observation": { # optionally a list of observation. "identifier": { "value": observationId, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" }, "type": mtype, "procedure": proc, "observedProperty": observedProp, # One defined in procedure description "featureOfInterest": featureID, "phenomenonTime": phenomenonTime, "resultTime": resultTime, # Result elements depend of type of MO "result": result } } # Return dictionary with InsertObservation elements return body def insertObservationSP(observation, foi, to_offering, with_procedure, observed_property=str): ''' Prepares the body of InsertObservation request using the Spatil Profile for JSON binding. Every observation must have a geometry :param to_offering: pre-existing offering in the SOS :param foi: contains location of sensor :param with_procedure: existing procedure for the observation :param observation: observation object :param observed_property: property to which this observation belongs to :return: body for a insert observation with spatial profile ''' # Observation offering # a URI to the offering description offId = to_offering.id # of any type offering = "http://www.geosmartcity.nl/test/offering/" + str(offId) # Observation ID obsId = observation.id # of any type observationId = "http://www.geosmartcity.nl/test/observation/" + str(obsId) # Selected measurement type. omtype = observation.uom mtype = "http://www.opengis.net/def/observationType/OGC-OM/2.0/" + omtype # Procedure # The procedure should be previously declared in 'InsertSensor' # An URI to the procedure description. Any type of URL proc = "http://www.geosmartcity.nl/test/procedure/" + str(with_procedure.pid) # declared in procedure description # One of any type of URI observedProp = "http://www.geosmartcity.nl/test/observableProperty/" + "".join(observed_property.split()) # Geometry type for the feature of interest. Most of the time 'Point'. featureType = 'Point' # one of any of the types from the Simple Access Feature Model # ID for Feature of Interest for current observation # Of any type URI # Removed in the Spatial profile to allow auto-generations featureID = "http://www.geosmartcity.nl/test/featureOfInterest/" + str(foi.fid) featureName= "Name for " + str(foi.fid) # string identifying the name of the feature of interest # Sampling Geometry featureCord = [foi.y, foi.x] # Latitude, Longitude := (Y, X) #Phenomenon, Declare unit of measurements and values. # Elements should be in accordance with the MO type. # For most real time observations PhenomenonTime and resultTime are (practically) the same. phenomenonTime = observation.phTime # Time at which observation started resultTime = observation.rTime # Time at which result of observation was generates # Unit of measurement for observation value, when declaring a OM_Measurement mag = observation.unit # for category observation codespace = 'codespace' # Observed value for the declared time # Should be of proper data type for OM type phenomenonValue = observation.Value #example for OM_Measurement result = '' # More conditions are need for other OM types if omtype == "OM_Measurement": result = {"uom": mag, "value": phenomenonValue} elif omtype == "OM_CategoryObservation": result = {"codespace": codespace, "value": phenomenonValue} elif omtype == "OM_GeometryObservation": result = {"type": "Point", "coordinates": [foi.x, foi.y]} else: # CountObservation, TruthObservation, TextObservation result = phenomenonValue # prepare body with mandatory geometry 'parameter' body = { "request": "InsertObservation", "service": "SOS", "version": "2.0.0", "offering": offering, "observation": { # optionally a list of observation. "identifier": { "value": observationId, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" }, "type": mtype, "procedure": proc, # Extra parameter reporting current location "parameter": { "NamedValue": { "name": "http://www.opengis.net/def/param-name/OGC-OM/2.0/samplingGeometry", "value": { "type": featureType, "coordinates": featureCord } } }, "observedProperty": observedProp, # One defined in procedure description "featureOfInterest": { "identifier": { "value": featureID, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" }, "name": [ { "value": featureName, "codespace": "http://www.opengis.net/def/nil/OGC/0/unknown" } ], "sampledFeature": [ "http://www.52north.org/test/featureOfInterest/world" ], "geometry": { "type": featureType, "coordinates": featureCord, "crs": { "type": "name", "properties": { "name": "EPSG:4326" } } } }, "phenomenonTime": phenomenonTime, "resultTime": resultTime, # Result elements depend of type of MO "result": result } } # Return dictionary with InsertObservation elements return body def insertMobileSensor(offering, procedure, foi, sensor_type): """ Prepares the body of a InsertSensor request to register a mobile sensor. Based on SensorML 2.0. Allowed sensor types: insitu-fixed, insitu-mobile. :param offering: an instance of class Offering.Type object. :param procedure: instance of class Procedure. type object. :param foi: feature of interest. Instance of FoI :param sensor_type: SensorType object :return: valid body for an InsertSensor request. """ # TODO: extend to chose among all sensor types, or make type a parameter # for JSON double quotes: \", or \u0022 # specify procedure ID: procedureID = 'http://www.geosmartcity.nl/test/procedure/' + str(procedure.pid) # URL format shortName = 'short name' #string longName = 'long name' #string # Offering values offName = offering.name #Offering name, double quoted offID = offering.fullId #URL format of full id if foi != None: # check if feature of interest should be declare featureID = 'http://www.geosmartcity.nl/test/featureOfInterest/' + str(foi.fid) # URL format cordX = foi.x # longitude degrees, float cordY = foi.y # latitude degrees, float height = foi.z # altitude in meters, float h_unit = foi.Hunit # units for horizontal coordinates z_unit = foi.Vunit # units for altitude else: pass op_name = procedure.name ObsProp = procedure.defn # URL, # print(ObsProp) obs_types= [] output_list = '' # output list element for describe procedure properties_list = [] for a in sensor_type.pattern["attributes"]: ObsPropName = '\"' + a[0] + '\"' # attribute name # print(ObsPropName) unit_name = sensor_type.om_types[a[1]] # om type obs_name = ObsPropName.replace('\"', '') obs_name = "".join(obs_name.split())# observable property name # TODO: check complience of <Output> types in procedure definition and OM_types in sensorML output = '<sml:output name=' + "".join(ObsPropName.split()) + '><swe:Quantity definition=' + '\"' + (procedure.url + obs_name ) + '\"' + '> <swe:uom code=\"'+ unit_name + '\"/></swe:Quantity></sml:output>' output_list = output_list + output properties_list.append(procedure.url + obs_name) # add property identifier to the list. # prepare list of measurement types # A sensor can not registry duplicated sensor types. this_type = "http://www.opengis.net/def/observationType/OGC-OM/2.0/"+ unit_name if this_type not in obs_types: # when new type appears obs_types.append(this_type) else: continue # Unit of measurement: unit_name = '\"' + procedure.name + '\"' # double quoted string # unit = omType # one of the MO measurement types # Output name=, does not accept white spaces. # Identifier for first procedure works as parent, it cannot be the same as the new procedure. # AttachedTo parameter is not compulsory. # TODO: procedure description should modified to match a desired data model. body = { "request" : "InsertSensor", "service" : "SOS", "version" : "2.0.0", "procedureDescriptionFormat" : "http://www.opengis.net/sensorml/2.0", "procedureDescription": '<sml:PhysicalSystem gml:id=\"sensor9\" xmlns:swes=\"http://www.opengis.net/swes/2.0\" xmlns:sos=\"http://www.opengis.net/sos/2.0\" xmlns:swe=\"http://www.opengis.net/swe/2.0\" ' + 'xmlns:sml=\"http://www.opengis.net/sensorml/2.0\" xmlns:gml=\"http://www.opengis.net/gml/3.2\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xmlns:gco=\"http://www.isotc211.org/2005/gco\" xmlns:gmd=\"http://www.isotc211.org/2005/gmd\"><gml:identifier codeSpace=\"uniqueID\">' + procedureID + '</gml:identifier><sml:identification><sml:IdentifierList><sml:identifier><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:longName\"><sml:label>longName</sml:label><sml:value>' + longName + '</sml:value></sml:Term></sml:identifier><sml:identifier><sml:Term definition=\"urn:ogc:def:identifier:OGC:1.0:shortName\"><sml:label>shortName</sml:label><sml:value>' + shortName + '</sml:value></sml:Term></sml:identifier></sml:IdentifierList></sml:identification><sml:capabilities name=\"offerings\"><sml:CapabilityList><sml:capability name=\"offeringID\"><swe:Text definition=\"urn:ogc:def:identifier:OGC:offeringID\"><swe:label>offeringID</swe:label><swe:value>' + offID + '</swe:value></swe:Text></sml:capability></sml:CapabilityList></sml:capabilities>' + '<sml:capabilities name=\"metadata\"><sml:CapabilityList><sml:capability name=\"insitu\"><swe:Boolean definition=\"insitu\"><swe:value>true</swe:value></swe:Boolean> </sml:capability><sml:capability name=\"mobile\"><swe:Boolean definition=\"mobile\"><swe:value>true</swe:value></swe:Boolean></sml:capability></sml:CapabilityList></sml:capabilities>' + '<sml:featuresOfInterest><sml:FeatureList definition=\"http://www.opengis.net/def/featureOfInterest/identifier\"><swe:label>featuresOfInterest</swe:label><sml:feature xlink:href=\"' + featureID + '\"/></sml:FeatureList></sml:featuresOfInterest><sml:inputs><sml:InputList><sml:input name=' + '\"' + op_name + '\"' + '><sml:ObservableProperty definition=' + '\"' + ObsProp + '\"' + ' /></sml:input></sml:InputList></sml:inputs><sml:outputs><sml:OutputList>' + output_list + '</sml:OutputList></sml:outputs><sml:position><swe:Vector referenceFrame=\"urn:ogc:def:crs:EPSG::4326\"><swe:coordinate name=\"easting\"><swe:Quantity axisID=\"x\"><swe:uom code=' + '\"'+ h_unit + '\"' + '/><swe:value>' + str(cordX) + '</swe:value></swe:Quantity></swe:coordinate><swe:coordinate name=\"northing\"><swe:Quantity axisID=\"y\"><swe:uom code=\"' + h_unit + '\" /><swe:value>' + str(cordY) + '</swe:value></swe:Quantity></swe:coordinate><swe:coordinate name=\"altitude\"><swe:Quantity axisID=\"z\"><swe:uom code=\"' + z_unit + '\" /><swe:value>' + str( height) + '</swe:value></swe:Quantity></swe:coordinate></swe:Vector></sml:position></sml:PhysicalSystem>', "observableProperty": properties_list, # "observationType": obs_types, "featureOfInterestType": "http://www.opengis.net/def/samplingFeatureType/OGC-OM/2.0/SF_SamplingPoint"} return body def insertComplexObservation(): """ :return: """ # To use conplex observation: # 1. Register sensor with with obsevation type 'OM_ComplexObservation' # 2. Insert observation using the Complex observation request body. return def deleteSensor(procedure_id=str): # TODO: Need to be completed ''' Prepares the body of a delete sensor request for the JSON binding. :param procedure_id_id: Identifier of the procedure URI. ''' body = { "request": "DeleteSensor", "service": "SOS", "version": "2.0.0", "procedure": procedure_id } return body def deleteObservation(observation_uri): # TODO: To be completed ''' :param observation_uri: URL identifying an observation. ''' def main(): import wrapper import data_loader dir = 'c:/sos_santander/raw_data/sample/' f_name = "santander_example_data.json" f_name2 = "data_stream-2016-07-01T080007.json" h_dir = 'c:/Temp/hist_temp/' url = 'http://130.89.217.201:8080/sos-4.4/service' token = 'TWFudWVsIEdhcmNpYQ==' f = wrapper.FoI('m', 'm', (1,2,3), 'my/feature/') tsensor = wrapper.SensorType('light') off = wrapper.Offering('my/domain/', '1', 'offering1') proc = wrapper.Procedure('1', 'procedure1', 'my/procedure', 'lux') r = insertMobileSensor(off, proc, f, tsensor) print(r) # ms =wrapper.sosPost(r, url, token) if __name__ == '__main__': main()

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py

Python

030_ClassificationWebsite/apps/coherence/titles.py

cogeorg/RegulatoryComplexity_Public

c9578ce012ba1e84dbebb029e30d98eff3430fd6

[ "Apache-2.0" ]

null

030_ClassificationWebsite/apps/coherence/titles.py

cogeorg/RegulatoryComplexity_Public

c9578ce012ba1e84dbebb029e30d98eff3430fd6

[ "Apache-2.0" ]

null

030_ClassificationWebsite/apps/coherence/titles.py

cogeorg/RegulatoryComplexity_Public

c9578ce012ba1e84dbebb029e30d98eff3430fd6

[ "Apache-2.0" ]

null

from flask import request, jsonify, redirect, url_for,flash, render_template, request, session, abort from views import app @app.route('/title_0_Y') def title_0_Y(): return render_template('PreClass/title_0.html') @app.route('/title_1_Y') def title_1_Y(): return render_template('PreClass/title_1.html') @app.route('/title_2_Y') def title_2_Y(): return render_template('PreClass/title_2.html') @app.route('/title_3_Y') def title_3_Y(): return render_template('PreClass/title_3.html') @app.route('/title_4_Y') def title_4_Y(): return render_template('PreClass/title_4.html') @app.route('/title_5_Y') def title_5_Y(): return render_template('PreClass/title_5.html') @app.route('/title_6_Y') def title_6_Y(): return render_template('PreClass/title_6.html') @app.route('/title_7_Y') def title_7_Y(): return render_template('PreClass/title_7.html') @app.route('/title_8_Y') def title_8_Y(): return render_template('PreClass/title_8.html') @app.route('/title_9_Y') def title_9_Y(): return render_template('PreClass/title_9.html') @app.route('/title_10_Y') def title_10_Y(): return render_template('PreClass/title_10.html') @app.route('/title_11_Y') def title_11_Y(): return render_template('PreClass/title_11.html') @app.route('/title_12_Y') def title_12_Y(): return render_template('PreClass/title_12.html') @app.route('/title_13_Y') def title_13_Y(): return render_template('PreClass/title_13.html') @app.route('/title_14_Y') def title_14_Y(): return render_template('PreClass/title_14.html') @app.route('/title_15_Y') def title_15_Y(): return render_template('PreClass/title_15.html') @app.route('/title_16_Y') def title_16_Y(): return render_template('PreClass/title_16.html') @app.route('/title_0') def title_0(): return render_template('Original/title_0.html') @app.route('/title_1') def title_1(): return render_template('Original/title_1.html') @app.route('/title_2') def title_2(): return render_template('Original/title_2.html') @app.route('/title_3') def title_3(): return render_template('Original/title_3.html') @app.route('/title_4') def title_4(): return render_template('Original/title_4.html') @app.route('/title_5') def title_5(): return render_template('Original/title_5.html') @app.route('/title_6') def title_6(): return render_template('Original/title_6.html') @app.route('/title_7') def title_7(): return render_template('Original/title_7.html') @app.route('/title_8') def title_8(): return render_template('Original/title_8.html') @app.route('/title_9') def title_9(): return render_template('Original/title_9.html') @app.route('/title_10') def title_10(): return render_template('Original/title_10.html') @app.route('/title_11') def title_11(): return render_template('Original/title_11.html') @app.route('/title_12') def title_12(): return render_template('Original/title_12.html') @app.route('/title_13') def title_13(): return render_template('Original/title_13.html') @app.route('/title_14') def title_14(): return render_template('Original/title_14.html') @app.route('/title_15') def title_15(): return render_template('Original/title_15.html') @app.route('/title_16') def title_16(): return render_template('Original/title_16.html')

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d1979045dfbbbcac8d34e125d8ef7f411c44573e

7,164

py

Python

hoft/core/decorators.py

sys-git/hoft

a59bd3f38a258eb6d7f56a9a79034159b18fd6a4

[ "MIT" ]

null

hoft/core/decorators.py

sys-git/hoft

a59bd3f38a258eb6d7f56a9a79034159b18fd6a4

[ "MIT" ]

323

2017-09-13T07:20:51.000Z

2022-03-31T12:30:24.000Z

hoft/core/decorators.py

sys-git/hoft

a59bd3f38a258eb6d7f56a9a79034159b18fd6a4

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: latin-1 -*- # # Brief description # @module hoft.core.decorators # @version 0.1 # @copyright (c) 2017-present Francis Horsman. from inspect import getargspec, getcallargs import six from hoft.core.parsers_in import parse_all_in_args from hoft.core.parsers_sig import parse_all_sig_args from hoft.core.utils import raise_exc def analyse_in(*parse_args, **parse_kwargs): """ Decorator for methods (to analyse) the args and kwargs of the decorated callable. This method does not modify the args or kwargs in any way. Deprecated. Will be removed in a future version, use `analyse_sig` instead. :param parse_args: A list of callables which accept two values only: These callables will be passed the target function's argument at the same position as - the callable is in the decorator's arguments list and the index of the argument. If callable==`IGNORE`, then the decorated function's arg is not parsed. :param parse_kwargs: A dictionary of name, callables. The name represents the target function's kwarg that will be passed to the callable. The callable receives the name, value and a boolean representing if the name is present in the kwargs: ie: `def my_func(name, value, name_in_decorated_funcs_passed_kwargs)`. :param bool parse_kwargs['_fail_fast_']: True: Fail on the first exception raised by any supplied callable. :param bool parse_kwargs['_on_error_']: Callable or type to be called when an exception is found in a supplied callable, if the type is an exception or subclass-of, it will be raised (the exception constructor should take the same signature as my_func below): ie: `def my_func(exc, list_of_excs)`. If the type is not an exception or subclass-of it will be called, it is up to this callable to raise an exception if required. :returns: Decorated function. :note: Any exception raised by a supplied callable will have an additional field: `_errors_`. This is always a list of one or all of the errors encountered during the supplied callables (depending on the value of the `_fail_fast_` kwargs). Example: >>> @hoft.analyse_in( _a_func(z=1), None, bar=_b_func(x=1, y=2), baz=_validate_baz(), x=None, _fail_fast_=True, _on_error_=my_func, ) def _validate_something_decorated(foo, ignored, bar=hoft.IGNORE, baz=None, x=None): ... """ def decorator(func): @six.wraps(func) def wrapper(*args, **kwargs): fail_fast = parse_kwargs.pop('_fail_fast_', False) on_error = parse_kwargs.pop('_on_error_', None) argspec = getargspec(func) errors = parse_all_in_args( parse_args, parse_kwargs, args, kwargs, argspec, on_error, fail_fast, ) if errors and not fail_fast: # We have errors to raise which have not already been raised. exc = errors[0] raise_exc( exc=exc.error, on_error=on_error, errors=errors, fail_fast=fail_fast, force=True, ) # Call the wrapped function: return func(*args, **kwargs) return wrapper return decorator def analyse_sig(*parse_args, **parse_kwargs): """ Decorator for methods (to analyse) the args and kwargs of the decorated callable. This method does not modify the args or kwargs in any way. Preferred method over `analyse_in`. :param parse_args: A list of callables which accept two values only: These callables will be passed the target function's argument at the same position as - the callable is in the decorator's arguments list and the index of the argument. If callable==`IGNORE`, then the decorated function's arg is not parsed. :param parse_kwargs: A dictionary of name, callables. The name represents the target function's kwarg that will be passed to the callable. The callable receives the name, value and a boolean representing if the name is present in the kwargs: ie: `def my_func(name, value, name_in_decorated_funcs_passed_kwargs)`. :param bool parse_kwargs['_fail_fast_']: True: Fail on the first exception raised by any supplied callable. :param bool parse_kwargs['_on_error_']: Callable or type to be called when an exception is found in a supplied callable, if the type is an exception or subclass-of, it will be raised (the exception constructor should take the same signature as my_func below): ie: `def my_func(exc, list_of_excs)`. If the type is not an exception or subclass-of it will be called, it is up to this callable to raise an exception if required. :param bool parse_kwargs['_strict_']: True=Error if all params are not analysed. :param callable parse_kwargs['_default_']: Default handler for all not previously analysed arguments. :returns: Decorated function. :note: Any exception raised by a supplied callable will have an additional field: `_errors_`. This is always a list of one or all of the errors encountered during the supplied callables (depending on the value of the `_fail_fast_` kwargs). Example: >>> @hoft.analyse_sig( _a_func(z=1), None, bar=_b_func(x=1, y=2), baz=_validate_baz(), x=None, _fail_fast_=True, _on_error_=my_func, _strict_=False, _default_=_default_func, ) def _validate_something_decorated(foo, ignored, bar=hoft.IGNORE, baz=None, x=None): ... """ def decorator(func): @six.wraps(func) def wrapper(*args, **kwargs): argspec = getargspec(func) callargs = getcallargs(func, *args, **kwargs) strict = parse_kwargs.pop('_strict_', None) default = parse_kwargs.pop('_default_', None) fail_fast = parse_kwargs.pop('_fail_fast_', False) on_error = parse_kwargs.pop('_on_error_', None) errors = parse_all_sig_args( parse_args, parse_kwargs, args, kwargs, argspec, callargs, strict, default, on_error, fail_fast, ) if errors and not fail_fast: # We have errors to raise which have not already been raised. exc = errors[0] raise_exc( exc=exc.error, on_error=on_error, errors=errors, fail_fast=fail_fast, force=True, ) # Call the wrapped function: return func(*args, **kwargs) return wrapper return decorator

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d1be549f263eaa4aaec76257a75137f8dbc15af2

7,015

py

Python

lessons/Chapter1/gallery_section_08.py

ratnania/IGA-Python

a9d7aa9bd14d4b3f1b12cdfbc2f9bf3c0a68fff4

[ "MIT" ]

6

2018-04-27T15:40:17.000Z

2020-08-13T08:45:35.000Z

lessons/Chapter1/gallery_section_08.py

GabrielJie/IGA-Python

a9d7aa9bd14d4b3f1b12cdfbc2f9bf3c0a68fff4

[ "MIT" ]

4

2021-06-08T22:59:19.000Z

2022-01-17T20:36:56.000Z

lessons/Chapter1/gallery_section_08.py

GabrielJie/IGA-Python

a9d7aa9bd14d4b3f1b12cdfbc2f9bf3c0a68fff4

[ "MIT" ]

4

2018-10-06T01:30:20.000Z

2021-12-31T02:42:05.000Z

__all__ = ['assemble_matrix_ex01', 'assemble_vector_ex01' 'assemble_norm_ex01' ] #============================================================================== def assemble_matrix_ex01(ne1: 'int', ne2: 'int', p1: 'int', p2: 'int', spans_1: 'int[:]', spans_2: 'int[:]', basis_1: 'double[:,:,:,:]', basis_2: 'double[:,:,:,:]', weights_1: 'double[:,:]', weights_2: 'double[:,:]', points_1: 'double[:,:]', points_2: 'double[:,:]', vector_u: 'double[:,:]', matrix: 'double[:,:,:,:]'): # ... sizes k1 = weights_1.shape[1] k2 = weights_2.shape[1] # ... from numpy import zeros lcoeffs_u = zeros((p1+1,p2+1)) lvalues_u = zeros((k1, k2)) # ... build matrices for ie1 in range(0, ne1): i_span_1 = spans_1[ie1] for ie2 in range(0, ne2): i_span_2 = spans_2[ie2] lvalues_u[ : , : ] = 0.0 lcoeffs_u[ : , : ] = vector_u[i_span_1 : i_span_1+p1+1, i_span_2 : i_span_2+p2+1] for il_1 in range(0, p1+1): for il_2 in range(0, p2+1): coeff_u = lcoeffs_u[il_1,il_2] for g1 in range(0, k1): b1 = basis_1[ie1,il_1,0,g1] for g2 in range(0, k2): b2 = basis_2[ie2,il_2,0,g2] lvalues_u[g1,g2] += coeff_u*b1*b2 for il_1 in range(0, p1+1): for il_2 in range(0, p2+1): for jl_1 in range(0, p1+1): for jl_2 in range(0, p2+1): i1 = i_span_1 - p1 + il_1 j1 = i_span_1 - p1 + jl_1 i2 = i_span_2 - p2 + il_2 j2 = i_span_2 - p2 + jl_2 v = 0.0 for g1 in range(0, k1): for g2 in range(0, k2): bi_0 = basis_1[ie1, il_1, 0, g1] * basis_2[ie2, il_2, 0, g2] bi_x = basis_1[ie1, il_1, 1, g1] * basis_2[ie2, il_2, 0, g2] bi_y = basis_1[ie1, il_1, 0, g1] * basis_2[ie2, il_2, 1, g2] bj_0 = basis_1[ie1, jl_1, 0, g1] * basis_2[ie2, jl_2, 0, g2] bj_x = basis_1[ie1, jl_1, 1, g1] * basis_2[ie2, jl_2, 0, g2] bj_y = basis_1[ie1, jl_1, 0, g1] * basis_2[ie2, jl_2, 1, g2] wvol = weights_1[ie1, g1] * weights_2[ie2, g2] u = lvalues_u[g1,g2] v += (1. + u**2)*(bi_x * bj_x + bi_y * bj_y) * wvol matrix[p1+i1, p2+i2, p1+j1-i1, p2+j2-i2] += v # ... #============================================================================== def assemble_vector_ex01(ne1: 'int', ne2: 'int', p1: 'int', p2: 'int', spans_1: 'int[:]', spans_2: 'int[:]', basis_1: 'double[:,:,:,:]', basis_2: 'double[:,:,:,:]', weights_1: 'double[:,:]', weights_2: 'double[:,:]', points_1: 'double[:,:]', points_2: 'double[:,:]', rhs: 'double[:,:]'): from numpy import sin from numpy import cos from numpy import pi # ... sizes k1 = weights_1.shape[1] k2 = weights_2.shape[1] # ... # ... build rhs for ie1 in range(0, ne1): i_span_1 = spans_1[ie1] for ie2 in range(0, ne2): i_span_2 = spans_2[ie2] for il_1 in range(0, p1+1): for il_2 in range(0, p2+1): i1 = i_span_1 - p1 + il_1 i2 = i_span_2 - p2 + il_2 v = 0.0 for g1 in range(0, k1): for g2 in range(0, k2): bi_0 = basis_1[ie1, il_1, 0, g1] * basis_2[ie2, il_2, 0, g2] x1 = points_1[ie1, g1] x2 = points_2[ie2, g2] wvol = weights_1[ie1, g1]*weights_2[ie2, g2] # f = -( 2*x1**3*x2*(x1 - 1)**3*(x2 - 1)*(2*x2 - 1)**2 + 2*x1*x2**3*(x1 - 1)*(2*x1 - 1)**2*(x2 - 1)**3 + 2*x1*(x1 - 1)*(x1**2*x2**2*(x1 - 1)**2*(x2 - 1)**2 + 1) + 2*x2*(x2 - 1)*(x1**2*x2**2*(x1 - 1)**2*(x2 - 1)**2 + 1.)) f = 2*pi**2*(sin(pi*x1)**2*sin(pi*x2)**2 + 1)*sin(pi*x1)*sin(pi*x2) - 2*pi**2*sin(pi*x1)**3*sin(pi*x2)*cos(pi*x2)**2 - 2*pi**2*sin(pi*x1)*sin(pi*x2)**3*cos(pi*x1)**2 v += bi_0 * f * wvol rhs[i1+p1,i2+p2] += v # ... #============================================================================== def assemble_norm_ex01(ne1: 'int', ne2: 'int', p1: 'int', p2: 'int', spans_1: 'int[:]', spans_2: 'int[:]', basis_1: 'double[:,:,:,:]', basis_2: 'double[:,:,:,:]', weights_1: 'double[:,:]', weights_2: 'double[:,:]', points_1: 'double[:,:]', points_2: 'double[:,:]', vector_u: 'double[:,:]'): from numpy import sin from numpy import pi from numpy import sqrt # ... sizes k1 = weights_1.shape[1] k2 = weights_2.shape[1] # ... from numpy import zeros lcoeffs_u = zeros((p1+1,p2+1)) lvalues_u = zeros((k1, k2)) norm_l2 = 0. # ... for ie1 in range(0, ne1): i_span_1 = spans_1[ie1] for ie2 in range(0, ne2): i_span_2 = spans_2[ie2] lvalues_u[ : , : ] = 0.0 lcoeffs_u[ : , : ] = vector_u[i_span_1 : i_span_1+p1+1, i_span_2 : i_span_2+p2+1] for il_1 in range(0, p1+1): for il_2 in range(0, p2+1): coeff_u = lcoeffs_u[il_1,il_2] for g1 in range(0, k1): b1 = basis_1[ie1,il_1,0,g1] for g2 in range(0, k2): b2 = basis_2[ie2,il_2,0,g2] lvalues_u[g1,g2] += coeff_u*b1*b2 v = 0.0 for g1 in range(0, k1): for g2 in range(0, k2): wvol = weights_1[ie1, g1] * weights_2[ie2, g2] x1 = points_1[ie1, g1] x2 = points_2[ie2, g2] # u = x1*x2*(1.-x1)*(1.-x2) u = sin(pi*x1)*sin(pi*x2) uh = lvalues_u[g1,g2] v += (u-uh)**2 * wvol norm_l2 += v norm_l2 = sqrt(norm_l2) return norm_l2 # ...

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1

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null

0

8

ae47ad57e68c567abdc36e216a69e568666109a7

123,535

py

Python

Account/app/mod_authorization/view_api.py

TamSzaGot/mydata-sdk

9c8afb75077f0b993819aa534b904501a8112f76

[ "MIT" ]

4

2018-04-21T00:46:40.000Z

2019-12-03T13:52:03.000Z

Account/app/mod_authorization/view_api.py

TamSzaGot/mydata-sdk

9c8afb75077f0b993819aa534b904501a8112f76

[ "MIT" ]

1

2019-01-09T10:45:23.000Z

Account/app/mod_authorization/view_api.py

TamSzaGot/mydata-sdk

9c8afb75077f0b993819aa534b904501a8112f76

[ "MIT" ]

4

2018-04-21T01:12:12.000Z

2020-09-24T06:19:29.000Z

# -*- coding: utf-8 -*- """ __author__ = "Jani Yli-Kantola" __copyright__ = "" __credits__ = ["Harri Hirvonsalo", "Aleksi Palomäki"] __license__ = "MIT" __version__ = "1.3.0" __maintainer__ = "Jani Yli-Kantola" __contact__ = "https://github.com/HIIT/mydata-stack" __status__ = "Development" """ # Import dependencies from flask import Blueprint, request, json from flask_restful import Resource, Api from app.helpers import get_custom_logger, make_json_response, ApiError, validate_json, compare_str_ids, get_utc_time from app.mod_account.controllers import verify_account_id_match from app.mod_api_auth.controllers import requires_api_auth_user, requires_api_auth_sdk, get_user_api_key, \ get_sdk_api_key from app.mod_authorization.schemas import schema_consent_new, schema_consent_status_new, \ schema_consent_status_signed_new from app.mod_database.controllers import create_event_log_entry from app.mod_database.models import ServiceLinkRecord, ConsentRecord, ConsentStatusRecord from app.mod_authorization.controllers import sign_cr, sign_csr, store_cr_and_csr, get_auth_token_data, \ get_last_cr_status, store_csr, get_csrs, get_crs, get_cr, get_last_cr, get_csr mod_authorization_api = Blueprint('authorization_api', __name__, template_folder='templates') api = Api(mod_authorization_api) # create logger with 'spam_application' logger = get_custom_logger(__name__) # Resources class ApiAccountConsent(Resource): @requires_api_auth_user @requires_api_auth_sdk def post(self, account_id, source_link_id, sink_link_id): """ Constructs Consent Record’s and Consent Status Record’s based on provided payloads for Source and Sink services. Signs constructed record’s with Account owner’s key. After signing records are stored. :param account_id: :param source_link_id: :param sink_link_id: :return: JSON object """ try: endpoint = str(api.url_for(self, account_id=account_id, source_link_id=source_link_id, sink_link_id=sink_link_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("account_id: " + account_id) try: source_link_id = str(source_link_id) except Exception as exp: error_title = "Unsupported source_link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("source_link_id: " + source_link_id) try: sink_link_id = str(sink_link_id) except Exception as exp: error_title = "Unsupported sink_link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("sink_link_id: " + sink_link_id) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # load JSON json_data = request.get_json() if not json_data: error_detail = {'0': 'Set application/json as Content-Type', '1': 'Provide json payload'} raise ApiError(code=400, title="No input data provided", detail=error_detail, source=endpoint) else: logger.debug("json_data: " + json.dumps(json_data)) # Validate payload content validate_json(json_data, schema_consent_new) # Get elements from payload # Source try: # Consent Record source_consent_payload = json_data['data']['source']['consent_record_payload']['attributes'] source_consent_cr_id = str(source_consent_payload['common_part']['cr_id']) source_consent_surrogate_id = str(source_consent_payload['common_part']['surrogate_id']) source_consent_slr_id = str(source_consent_payload['common_part']['slr_id']) source_consent_subject_id = str(source_consent_payload['common_part']['subject_id']) source_consent_role = str(source_consent_payload['common_part']['role']) source_consent_rs_id = str(source_consent_payload['common_part']['rs_description']['resource_set']['rs_id']) except Exception as exp: error_title = "Could not Consent Record data of Source Service" error_detail = str(exp.__class__.__name__) + " - " + str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("source_consent_cr_id from payload: " + source_consent_cr_id) logger.debug("source_consent_surrogate_id from payload: " + source_consent_surrogate_id) logger.debug("source_consent_slr_id from payload: " + source_consent_slr_id) logger.debug("source_consent_subject_id from payload: " + source_consent_subject_id) logger.debug("source_consent_role from payload: " + source_consent_role) logger.debug("source_consent_rs_id from payload: " + source_consent_rs_id) try: # Consent Status Record source_status_payload = json_data['data']['source']['consent_status_record_payload']['attributes'] source_status_record_id = str(source_status_payload['record_id']) source_status_surrogate_id = str(source_status_payload['surrogate_id']) source_status_cr_id = str(source_status_payload['cr_id']) source_status_consent_status = str(source_status_payload['consent_status']) source_status_iat = int(source_status_payload['iat']) source_status_prev_record_id = str(source_status_payload['prev_record_id']) except Exception as exp: error_title = "Could not Consent Status Record data of Source Service" error_detail = str(exp.__class__.__name__) + " - " + str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("source_status_record_id from payload: " + source_status_record_id) logger.debug("source_status_surrogate_id from payload: " + source_status_surrogate_id) logger.debug("source_status_cr_id from payload: " + source_status_cr_id) logger.debug("source_status_consent_status from payload: " + source_status_consent_status) logger.debug("source_status_iat from payload: " + str(source_status_iat)) logger.debug("source_status_prev_record_id from payload: " + source_status_prev_record_id) try: logger.info("Verify that Source SLR IDs from path and payload are matching") compare_str_ids(id=source_link_id, id_to_compare=source_consent_slr_id) except ValueError as exp: error_title = "Source Service SLR IDs from path and Consent Record payload are not matching" error_detail = "SLR ID from path was {} and from payload {}".format(source_link_id, source_consent_slr_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Source Service SLR IDs from path and payload are matching") try: logger.info("Verify that Source Consent IDs from payload are matching") compare_str_ids(id=source_consent_cr_id, id_to_compare=source_status_cr_id) except ValueError as exp: error_title = "Source Service Consent IDs from Consent Record payload and Consent Status Record payload are not matching" error_detail = "Consent ID from Consent Record payload was {} and from Consent Status Record payload {}".format(source_consent_cr_id, source_status_cr_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Source Service Consent IDs from payload are matching") try: logger.info("Verify that Source Surrogate IDs from payload are matching") compare_str_ids(id=source_consent_surrogate_id, id_to_compare=source_status_surrogate_id) except ValueError as exp: error_title = "Source Service Surrogate IDs from Consent Record payload and Consent Status Record payload are not matching" error_detail = "Surrogate ID from Consent payload was {} and from Consent Status payload {}".format(source_consent_surrogate_id, source_status_surrogate_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Source Service Surrogate IDs from payload are matching") # Sink try: # Consent Record sink_consent_payload = json_data['data']['sink']['consent_record_payload']['attributes'] sink_consent_cr_id = str(sink_consent_payload['common_part']['cr_id']) sink_consent_surrogate_id = str(sink_consent_payload['common_part']['surrogate_id']) sink_consent_slr_id = str(sink_consent_payload['common_part']['slr_id']) sink_consent_subject_id = str(sink_consent_payload['common_part']['subject_id']) sink_consent_role = str(sink_consent_payload['common_part']['role']) sink_consent_rs_id = str(sink_consent_payload['common_part']['rs_description']['resource_set']['rs_id']) except Exception as exp: error_title = "Could not get Consent Record data of Sink Service" error_detail = str(exp.__class__.__name__) + " - " + str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("sink_consent_cr_id from payload: " + sink_consent_cr_id) logger.debug("sink_consent_surrogate_id from payload: " + sink_consent_surrogate_id) logger.debug("sink_consent_slr_id from payload: " + sink_consent_slr_id) logger.debug("sink_consent_subject_id from payload: " + sink_consent_subject_id) logger.debug("sink_consent_role from payload: " + sink_consent_role) logger.debug("sink_consent_rs_id from payload: " + sink_consent_rs_id) try: # Consent Status Record sink_status_payload = json_data['data']['sink']['consent_status_record_payload']['attributes'] sink_status_record_id = str(sink_status_payload['record_id']) sink_status_surrogate_id = str(sink_status_payload['surrogate_id']) sink_status_cr_id = str(sink_status_payload['cr_id']) sink_status_consent_status = str(sink_status_payload['consent_status']) sink_status_iat = int(sink_status_payload['iat']) sink_status_prev_record_id = str(sink_status_payload['prev_record_id']) except Exception as exp: error_title = "Could not get Consent Status Record data of Sink Service" error_detail = str(exp.__class__.__name__) + " - " + str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("sink_status_record_id from payload: " + sink_status_record_id) logger.debug("sink_status_surrogate_id from payload: " + sink_status_surrogate_id) logger.debug("sink_status_cr_id from payload: " + sink_status_cr_id) logger.debug("sink_status_consent_status from payload: " + sink_status_consent_status) logger.debug("sink_status_iat from payload: " + str(sink_status_iat)) logger.debug("sink_status_prev_record_id from payload: " + sink_status_prev_record_id) try: logger.info("Verify that Sink Service SLR IDs from path and payload are matching") compare_str_ids(id=sink_link_id, id_to_compare=sink_consent_slr_id) except ValueError as exp: error_title = "Sink Service SLR IDs from path and Consent Record payload are not matching" error_detail = "SLR ID from path was {} and from payload {}".format(sink_link_id, sink_consent_slr_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Sink Service SLR IDs from path and payload are matching") try: logger.info("Verify that Sink Consent IDs from payload are matching") compare_str_ids(id=sink_consent_cr_id, id_to_compare=sink_status_cr_id) except ValueError as exp: error_title = "Sink Service Consent IDs from Consent Record payload and Consent Status Record payload are not matching" error_detail = "Consent ID from Consent payload was {} and from Consent Status payload {}".format(sink_consent_cr_id, sink_status_cr_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Sink Service Consent IDs from payload are matching") try: logger.info("Verify that Sink Surrogate IDs from payload are matching") compare_str_ids(id=sink_consent_surrogate_id, id_to_compare=sink_status_surrogate_id) except ValueError as exp: error_title = "Sink Service Surrogate IDs from Consent Record payload and Consent Status Record payload are not matching" error_detail = "Surrogate ID from Consent payload was {} and from Consent Status payload {}".format(sink_consent_surrogate_id, sink_status_surrogate_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Sink Service Surrogate IDs from payload are matching") ###### # Sign Consent Records and Consent Status Records #### try: logger.info("Signing Consent Record of Source Service") source_cr_signed = sign_cr(account_id=account_id, payload=source_consent_payload, endpoint=endpoint) except Exception as exp: error_title = "Could not sign Consent Record of Source Service" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record of Source Service signed") logger.debug("Consent Record of Source Service: " + json.dumps(source_cr_signed)) try: logger.info("Signing Consent Status Record of Source Service") source_csr_signed = sign_csr(account_id=account_id, payload=source_status_payload, endpoint=endpoint) except Exception as exp: error_title = "Could not sign Consent Status Record of Source Service" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Record of Source Service signed") logger.debug("Consent Status Record of Source Service: " + json.dumps(source_csr_signed)) try: logger.info("Signing Consent Record of Sink Service") sink_cr_signed = sign_cr(account_id=account_id, payload=sink_consent_payload, endpoint=endpoint) except Exception as exp: error_title = "Could not sign Consent Record of Sink Service" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record of Sink Service") logger.debug("Consent Record of Sink Service: " + json.dumps(sink_cr_signed)) try: logger.info("Signing Consent Status Record of Sink Service") sink_csr_signed = sign_csr(account_id=account_id, payload=sink_status_payload, endpoint=endpoint) except Exception as exp: error_title = "Could not sign Consent Status Record of Sink Service" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Sink's Consent Status Record of Sink Service") logger.debug("Consent Status Record of Sink Service: " + json.dumps(sink_csr_signed)) ######### # Store # ######### logger.info("Creating objects to store") # Service Link Record of Source Service try: logger.info("Creating Service Link Record of Source Service") source_slr_entry = ServiceLinkRecord( surrogate_id=source_consent_surrogate_id, account_id=account_id, service_link_record_id=source_consent_slr_id ) except Exception as exp: error_title = "Failed to create Source's Service Link Record object" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Source's Service Link Record object created") logger.info("Source's Service Link Record object: " + source_slr_entry.log_entry) # Service Link Record of Sink Service try: logger.info("Creating Source's Service Link Record object") sink_slr_entry = ServiceLinkRecord( surrogate_id=sink_consent_surrogate_id, account_id=account_id, service_link_record_id=sink_consent_slr_id ) except Exception as exp: error_title = "Failed to create Sink's Service Link Record object" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Source's Service Link Record object created") logger.info("Source's Service Link Record object: " + sink_slr_entry.log_entry) # Consent Record of Source Service try: logger.info("Creating Consent Record of Source Service") source_cr_entry = ConsentRecord( consent_record=source_cr_signed, consent_id=source_consent_cr_id, surrogate_id=source_consent_surrogate_id, resource_set_id=source_consent_rs_id, service_link_record_id=source_consent_slr_id, subject_id=source_consent_subject_id, role=source_consent_role, consent_pair_id=sink_consent_cr_id, accounts_id=account_id ) except Exception as exp: error_title = "Failed to create Source's Consent Record object" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record of Source Service created") logger.info("Consent Record of Source Service: " + source_cr_entry.log_entry) # Consent Record of Sink Service try: logger.info("Creating Consent Record of Sink Service") sink_cr_entry = ConsentRecord( consent_record=sink_cr_signed, consent_id=sink_consent_cr_id, surrogate_id=sink_consent_surrogate_id, resource_set_id=sink_consent_rs_id, service_link_record_id=sink_consent_slr_id, subject_id=sink_consent_subject_id, role=sink_consent_role, consent_pair_id=source_consent_cr_id, accounts_id=account_id ) except Exception as exp: error_title = "Failed to create Sink's Consent Record object" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record of Sink Service created") logger.info("Consent Record of Sink Service: " + sink_cr_entry.log_entry) # Consent Status Record of Source Service try: logger.info("Creating Consent Status Record of Source Service") source_csr_entry = ConsentStatusRecord( consent_status_record_id=source_status_record_id, status=sink_status_consent_status, consent_status_record=source_csr_signed, consent_record_id=source_status_cr_id, issued_at=source_status_iat, prev_record_id=source_status_prev_record_id, accounts_id=account_id ) except Exception as exp: error_title = "Failed to create Source's Consent Status Record object" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Record of Source Service created") logger.info("Consent Status Record of Source Service: " + source_csr_entry.log_entry) # Consent Status Record of Sink Service try: logger.info("Creating Consent Status Record of Sink Service") sink_csr_entry = ConsentStatusRecord( consent_status_record_id=sink_status_record_id, status=sink_status_consent_status, consent_status_record=sink_csr_signed, consent_record_id=sink_status_cr_id, issued_at=sink_status_iat, prev_record_id=sink_status_prev_record_id, accounts_id=account_id ) except Exception as exp: error_title = "Failed to create Sink's Consent Status Record object" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Record of Sink Service created") logger.info("Consent Status Record of Sink Service: " + sink_csr_entry.log_entry) # Store Consent Records and Consent Status Records try: logger.info("About to store Consent Records and Consent Status Records") stored_source_cr_entry, stored_source_csr_entry, stored_sink_cr_entry, stored_sink_csr_entry = \ store_cr_and_csr( source_slr_entry=source_slr_entry, sink_slr_entry=sink_slr_entry, source_cr_entry=source_cr_entry, source_csr_entry=source_csr_entry, sink_cr_entry=sink_cr_entry, sink_csr_entry=sink_csr_entry, endpoint=endpoint ) except IndexError as exp: error_title = "Could not store Consent Records and Consent Status Records" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) except KeyError as exp: error_title = "Could not store Consent Records and Consent Status Records" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) except RuntimeError as exp: error_title = "Could not store Consent Records and Consent Status Records" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "Could not store Consent Records and Consent Status Records" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Stored Consent Record and Consent Status Record") logger.info("Source CR: " + stored_source_cr_entry.log_entry) logger.info("Source CSR: " + stored_source_csr_entry.log_entry) logger.info("Sink CR: " + stored_sink_cr_entry.log_entry) logger.info("Sink CSR: " + stored_sink_csr_entry.log_entry) # Response data container try: response_data = {} response_data['data'] = {} response_data['data']['source'] = {} response_data['data']['source']['consent_record'] = stored_source_cr_entry.to_api_dict response_data['data']['source']['consent_status_record'] = stored_source_csr_entry.to_api_dict response_data['data']['sink'] = {} response_data['data']['sink']['consent_record'] = stored_sink_cr_entry.to_api_dict response_data['data']['sink']['consent_status_record'] = stored_sink_csr_entry.to_api_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="POST", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=201) class ApiAccountConsentStatus(Resource): @requires_api_auth_user @requires_api_auth_sdk def post(self, account_id, consent_id): try: endpoint = str(api.url_for(self, account_id=account_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("account_id: " + account_id) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("consent_id: " + consent_id) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # load JSON json_data = request.get_json() if not json_data: error_detail = {'0': 'Set application/json as Content-Type', '1': 'Provide json payload'} raise ApiError(code=400, title="No input data provided", detail=error_detail, source=endpoint) else: logger.debug("json_data: " + json.dumps(json_data)) # Validate payload content validate_json(json_data, schema_consent_status_new) # Get elements from payload try: # Consent Status Record status_payload = json_data['data']['attributes'] record_id = str(status_payload['record_id']) surrogate_id = str(status_payload['surrogate_id']) cr_id = str(status_payload['cr_id']) consent_status = str(status_payload['consent_status']) iat = int(status_payload['iat']) prev_record_id = str(status_payload['prev_record_id']) except Exception as exp: error_title = "Could not Consent Status Record data" error_detail = str(exp.__class__.__name__) + " - " + str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("record_id from payload: " + record_id) logger.debug("surrogate_id from payload: " + surrogate_id) logger.debug("cr_id from payload: " + cr_id) logger.debug("consent_status from payload: " + consent_status) logger.debug("iat from payload: " + str(iat)) logger.debug("prev_record_id from payload: " + prev_record_id) # Check IDs try: logger.info("Verify that Consent IDs from path and payload are matching") compare_str_ids(id=consent_id, id_to_compare=cr_id) except ValueError as exp: error_title = "Consent IDs from path and payload are not matching" error_detail = "Consent ID from path was {} and from payload {}".format(consent_id, cr_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent IDs from path and payload are matching") ###### # Sign Consent Records and Consent Status Records #### try: logger.info("Signing Consent Status Record") csr_signed = sign_csr(account_id=account_id, payload=status_payload, endpoint=endpoint) except Exception as exp: error_title = "Could not sign Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Record signed") logger.debug("Consent Status Record: " + json.dumps(csr_signed)) # # Store Consent Status Record try: csr_object = store_csr( account_id=account_id, record_id=record_id, cr_id=consent_id, surrogate_id=surrogate_id, consent_status=consent_status, iat=iat, prev_record_id=prev_record_id, csr_signed=csr_signed, endpoint=endpoint ) except IndexError as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) except KeyError as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) except RuntimeError as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("Stored Consent Status Record: " + csr_object.log_entry) # Response data container try: response_data = {} response_data['data'] = csr_object.to_api_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="POST", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=201) class ApiAccountConsentStatusSigned(Resource): @requires_api_auth_sdk def post(self, account_id, consent_id): try: endpoint = str(api.url_for(self, account_id=account_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("account_id: " + account_id) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("consent_id: " + consent_id) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # load JSON json_data = request.get_json() if not json_data: error_detail = {'0': 'Set application/json as Content-Type', '1': 'Provide json payload'} raise ApiError(code=400, title="No input data provided", detail=error_detail, source=endpoint) else: logger.debug("json_data: " + json.dumps(json_data)) # Validate payload content validate_json(json_data, schema_consent_status_signed_new) # Get elements from payload try: # Consent Status Record status_record_id = json_data['data']['csr']['id'] status_record = json_data['data']['csr']['attributes'] status_payload = json_data['data']['csr_payload']['attributes'] record_id = str(status_payload['record_id']) surrogate_id = str(status_payload['surrogate_id']) cr_id = str(status_payload['cr_id']) consent_status = str(status_payload['consent_status']) iat = int(status_payload['iat']) prev_record_id = str(status_payload['prev_record_id']) except Exception as exp: error_title = "Could not Consent Status Record data" error_detail = str(exp.__class__.__name__) + " - " + str(exp.message) logger.error(error_title + " - " + error_detail) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("status_record from payload: " + json.dumps(status_record)) logger.debug("record_id from payload: " + record_id) logger.debug("surrogate_id from payload: " + surrogate_id) logger.debug("cr_id from payload: " + cr_id) logger.debug("consent_status from payload: " + consent_status) logger.debug("iat from payload: " + str(iat)) logger.debug("prev_record_id from payload: " + prev_record_id) # Check IDs try: logger.info("Verify that Consent IDs from path and payload are matching") compare_str_ids(id=consent_id, id_to_compare=cr_id) except ValueError as exp: error_title = "Consent IDs from path and payload are not matching" error_detail = "Consent ID from path was {} and from payload {}".format(consent_id, cr_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent IDs from path and payload are matching") # Check IDs try: logger.info("Verify that Consent Status Record IDs in payload are matching") compare_str_ids(id=status_record_id, id_to_compare=record_id) except ValueError as exp: error_title = "Consent Status Record IDs in Consent Status Record and Consent Status Record payload are not matching" error_detail = "Consent Status Record ID from Consent Status Record was {} and from Consent Status Record payload {}".format(status_record_id, record_id) logger.error(error_title + " - " + error_detail + ": " + str(exp.message)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Record IDs in Consent Status Record and Consent Status Record payload are matching") # # Store Consent Status Record try: csr_object = store_csr( account_id=account_id, record_id=record_id, cr_id=consent_id, surrogate_id=surrogate_id, consent_status=consent_status, iat=iat, prev_record_id=prev_record_id, csr_signed=status_record, endpoint=endpoint ) except IndexError as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=400, title=error_title, detail=error_detail, source=endpoint) except KeyError as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) except RuntimeError as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "Could not store Consent Status Record" error_detail = str(exp.message) logger.error(error_title + " - " + repr(exp)) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.debug("Stored Consent Status Record: " + csr_object.log_entry) # Response data container try: response_data = {} response_data['data'] = csr_object.to_api_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="POST", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=201) class ApiConsentsForServiceLinkRecord(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, link_id): """ List Consent Records related to Service Link Record :param account_id: :param link_id: :return: JSON array """ try: endpoint = str(api.url_for(self, account_id=account_id, link_id=link_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Check query variables try: get_consent_pair = request.args.get('get_consent_pair', False) get_consent_pair = str(get_consent_pair) if get_consent_pair == "True": get_consent_pair = True else: get_consent_pair = False except Exception as exp: raise ApiError(code=400, title="Unsupported get_consent_pair", detail=repr(exp), source=endpoint) else: if get_consent_pair: logger.info("get_consent_pair from query params: True") else: logger.info("get_consent_pair from query params: False") # Get ServiceLinkRecords try: logger.info("Fetching ConsentRecords") db_entries, account_id_list = get_crs(slr_id=link_id, account_id=account_id, consent_pairs=get_consent_pair) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {} and Service Link ID was {}".format(account_id, link_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No ConsentRecords found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("ConsentRecords Fetched") logger.debug("ConsentRecords: " + json.dumps(db_entries)) # Response data container try: db_entry_list = db_entries response_data = {} response_data['data'] = db_entry_list except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentForServiceLinkRecord(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, link_id, consent_id): """ Fetch Consent Record related to Service Link Record :param account_id: :param link_id: :param consent_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, link_id=link_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Check query variables try: get_consent_pair = request.args.get('get_consent_pair', False) get_consent_pair = str(get_consent_pair) if get_consent_pair == "True": get_consent_pair = True else: get_consent_pair = False except Exception as exp: raise ApiError(code=400, title="Unsupported get_consent_pair", detail=repr(exp), source=endpoint) else: if get_consent_pair: logger.info("get_consent_pair from query params: True") else: logger.info("get_consent_pair from query params: False") # Get Consent Record cr_array = [] try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_cr(cr_id=consent_id, slr_id=link_id, account_id=account_id) cr_array.append(cr_entry) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}, Service Link ID was {} and Consent ID was {}.".format(account_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get Consent Pair if get_consent_pair: try: logger.info("Fetching Consent Pair") cr_entry, account_id_from_db = get_cr(account_id=account_id, consent_pair_id=consent_id) cr_array.append(cr_entry) except IndexError as exp: error_title = "Consent Pair not found with provided information" error_detail = "Account ID was {}, Service Link ID was {} and Consent Pair ID was {}.".format(account_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Pair found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Pair Fetched") # Response data container try: response_data = {} response_data['data'] = cr_array except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiLastConsentForServiceLinkRecord(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, link_id): """ Fetch Last Consent Record related to Service Link Record :param account_id: :param link_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, link_id=link_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Check query variables try: get_consent_pair = request.args.get('get_consent_pair', False) get_consent_pair = str(get_consent_pair) if get_consent_pair == "True": get_consent_pair = True else: get_consent_pair = False except Exception as exp: raise ApiError(code=400, title="Unsupported get_consent_pair", detail=repr(exp), source=endpoint) else: if get_consent_pair: logger.info("get_consent_pair from query params: True") else: logger.info("get_consent_pair from query params: False") # Get Consent Record try: logger.info("Fetching ConsentRecords") cr_array = get_last_cr(slr_id=link_id, account_id=account_id, consent_pairs=get_consent_pair) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {} and Service Link ID was {}".format(account_id, link_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No ConsentRecords found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("ConsentRecords Fetched") logger.debug("ConsentRecords: " + json.dumps(cr_array)) # Response data container try: response_data = {} response_data['data'] = cr_array except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusesForServiceLinkRecord(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, link_id, consent_id): """ Fetch list of Consent Status Records :param account_id: :param link_id: :param consent_id: :return: JSON array """ try: endpoint = str(api.url_for(self, account_id=account_id, link_id=link_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("account_id: " + account_id) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("link_id: " + link_id) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("consent_id: " + consent_id) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Check query variables try: status_id = request.args.get('status_id', "") status_id = str(status_id) except Exception as exp: raise ApiError(code=400, title="Unsupported status_id", detail=repr(exp), source=endpoint) else: logger.info("status_id from query params: {}".format(status_id)) # Get Consent Record try: logger.info("Fetching Consent Record") cr, account_id_from_db = get_cr(cr_id=consent_id, slr_id=link_id, account_id=account_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}, Service Link ID was {} and Consent ID was {}.".format(account_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get Consent Status Records try: logger.info("Fetching Consent Status Records") db_entries, account_id_list = get_csrs(account_id=account_id, consent_id=consent_id, status_id=status_id) except IndexError as exp: error_title = "Consent Status Records not found with provided information" error_detail = "Account ID was {} Service Link ID was {}, and Consent ID was {}. Status ID from query parameters was {}.".format(account_id, link_id, consent_id, status_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Status Records found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Records Fetched") # Response data container try: db_entry_list = db_entries response_data = {} response_data['data'] = db_entry_list except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusForServiceLinkRecord(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, link_id, consent_id, status_id): """ Fetch Consent Status Record :param account_id: :param link_id: :param consent_id: :param status_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, link_id=link_id, consent_id=consent_id, status_id=status_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: status_id = str(status_id) except Exception as exp: error_title = "Unsupported status_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Get Consent Record try: logger.info("Fetching Consent Record") cr, account_id_from_db = get_cr(cr_id=consent_id, slr_id=link_id, account_id=account_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}, Service Link ID was {} and Consent ID was {}.".format(account_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get Consent Status Record try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_csr(cr_id=consent_id, account_id=account_id, csr_id=status_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}, Service Link ID was {}, Consent ID was {} and Consent Status ID was {}.".format(account_id, link_id, consent_id, status_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Response data container try: response_data = {} response_data['data'] = cr_entry except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentsForAccount(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id): """ Fetch list of Consent Records related to Account :param account_id: :param link_id: :return: JSON array """ try: endpoint = str(api.url_for(self, account_id=account_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Get ServiceLinkRecords try: logger.info("Fetching ConsentRecords") db_entries, account_id_list = get_crs(account_id=account_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}".format(account_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No ConsentRecords found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("ConsentRecords Fetched") logger.debug("ConsentRecords: " + json.dumps(db_entries)) # Response data container try: db_entry_list = db_entries response_data = {} response_data['data'] = db_entry_list except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentForAccount(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, consent_id): """ Fetch Consent Record related to Service Link Record :param account_id: :param consent_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Check query variables try: get_consent_pair = request.args.get('get_consent_pair', False) get_consent_pair = str(get_consent_pair) if get_consent_pair == "True": get_consent_pair = True else: get_consent_pair = False except Exception as exp: raise ApiError(code=400, title="Unsupported get_consent_pair", detail=repr(exp), source=endpoint) else: if get_consent_pair: logger.info("get_consent_pair from query params: True") else: logger.info("get_consent_pair from query params: False") # Get Consent Record cr_array = [] try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_cr(cr_id=consent_id, account_id=account_id) cr_array.append(cr_entry) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {} and Consent ID was {}.".format(account_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get Consent Pair if get_consent_pair: try: logger.info("Fetching Consent Pair") cr_entry, account_id_from_db = get_cr(account_id=account_id, consent_pair_id=consent_id) cr_array.append(cr_entry) except IndexError as exp: error_title = "Consent Pair not found with provided information" error_detail = "Account ID was {} and Consent Pair ID was {}.".format(account_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Pair found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Pair Fetched") # Response data container try: response_data = {} response_data['data'] = cr_array except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusesForAccount(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, consent_id): """ Fetch list of Consent Status Records :param account_id: :param consent_id: :return: JSON array """ try: endpoint = str(api.url_for(self, account_id=account_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) try: account_id = str(account_id) except Exception as exp: raise ApiError(code=400, title="Unsupported account_id", detail=repr(exp), source=endpoint) else: logger.debug("Account ID from path: " + account_id) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) else: logger.info("consent_id: " + consent_id) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Check query variables try: status_id = request.args.get('status_id', "") status_id = str(status_id) except Exception as exp: raise ApiError(code=400, title="Unsupported status_id", detail=repr(exp), source=endpoint) else: logger.info("status_id from query params: {}".format(status_id)) # Get Consent Status Records try: logger.info("Fetching Consent Status Records") db_entries, account_id_from_db = get_csrs(account_id=account_id, consent_id=consent_id, status_id=status_id) except IndexError as exp: error_title = "Consent Status Records not found with provided information" error_detail = "Account ID was {} and Consent ID was {}. Status ID from query parameters was {}.".format(account_id, consent_id, status_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Status Records found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Records Fetched") # Response data container try: db_entry_list = db_entries response_data = {} response_data['data'] = db_entry_list except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusForAccount(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, consent_id, status_id): """ Fetch Consent Status Record :param account_id: :param consent_id: :param status_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, consent_id=consent_id, status_id=status_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: status_id = str(status_id) except Exception as exp: error_title = "Unsupported status_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Get Consent Status Record try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_csr(cr_id=consent_id, account_id=account_id, csr_id=status_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}, Consent ID was {} and Consent Status ID was {}.".format(account_id, consent_id, status_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Response data container try: response_data = {} response_data['data'] = cr_entry except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiAccountConsentStatusLast(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, consent_id): """ Fetch last Consent Status Record :param account_id: :param consent_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Get Consent Record try: logger.info("Fetching Consent Record") cr, account_id_from_db = get_cr(cr_id=consent_id, account_id=account_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {} and Consent ID was {}.".format(account_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get last Consent Status Record try: logger.info("Fetching last Consent Status Record") csr_dict = get_last_cr_status(consent_id=consent_id, account_id=account_id) except IndexError as exp: error_title = "Consent Status Record not found with provided information" error_detail = "Account ID was {} and Consent ID was {}".format(account_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Status Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Last Consent Status Record Fetched") logger.debug("Consent Status Record: " + json.dumps(csr_dict)) # Response data container try: response_data = {} response_data['data'] = csr_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiAccountConsentStatusLastForServiceLinkRecord(Resource): @requires_api_auth_user @requires_api_auth_sdk def get(self, account_id, link_id, consent_id): """ Fetch last Consent Status Record :param account_id: :param consent_id: :return: """ try: endpoint = str(api.url_for(self, account_id=account_id, link_id=link_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching User API Key") api_key_user = get_user_api_key(endpoint=endpoint) logger.debug("api_key_user: " + api_key_user) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: account_id = str(account_id) except Exception as exp: error_title = "Unsupported account_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check if Account IDs from path and ApiKey are matching if verify_account_id_match(account_id=account_id, api_key=api_key_user, endpoint=endpoint): logger.info("Account IDs are matching") # Get Consent Record try: logger.info("Fetching Consent Record") cr, account_id_from_db = get_cr(cr_id=consent_id, slr_id=link_id, account_id=account_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Account ID was {}, Service Link ID was {} and Consent ID was {}.".format(account_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get last Consent Status Record try: logger.info("Fetching last Consent Status Record") csr_dict = get_last_cr_status(consent_id=consent_id, account_id=account_id) except IndexError as exp: error_title = "Consent Status Record not found with provided information" error_detail = "Account ID was {} and Consent ID was {}".format(account_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Status Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Last Consent Status Record Fetched") logger.debug("Consent Status Record: " + json.dumps(csr_dict)) # Response data container try: response_data = {} response_data['data'] = csr_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=account_id, actor="AccountOwner", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) ###### # Service Section ##### class ApiConsentsForService(Resource): @requires_api_auth_sdk def get(self, service_id, link_id): """ Fetch list of Consent Records related to Service :param service_id: :param link_id: :return: JSON array """ try: endpoint = str(api.url_for(self, service_id=service_id, link_id=link_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: service_id = str(service_id) except Exception as exp: error_title = "Unsupported service_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Get Consent Records try: logger.info("Fetching Consent Records") db_entries, account_id_list = get_crs(subject_id=service_id, slr_id=link_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Service ID was {} and Service Link ID was {}".format(service_id, link_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Records found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Records Fetched") logger.debug("Consent Records: " + json.dumps(db_entries)) # Response data container try: db_entry_list = db_entries response_data = {} response_data['data'] = db_entry_list except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) for account_id_item in account_id_list: create_event_log_entry( account_id=account_id_item, actor="Operator", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentForService(Resource): @requires_api_auth_sdk def get(self, service_id, link_id, consent_id): """ Fetch Consent Record related to Service :param service_id: :param link_id: :param consent_id: :return: """ try: endpoint = str(api.url_for(self, service_id=service_id, link_id=link_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: service_id = str(service_id) except Exception as exp: error_title = "Unsupported service_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Get Consent Record try: logger.info("Fetching Consent Record") cr_entry, account_id = get_cr(cr_id=consent_id, slr_id=link_id, subject_id=service_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Service ID was {}, Service Link ID was {} and Consent ID was {}.".format(service_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Response data container try: response_data = {} response_data['data'] = cr_entry except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id, actor="Operator", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusesForService(Resource): @requires_api_auth_sdk def get(self, service_id, link_id, consent_id): """ Fetch list of Consent Status Records :param service_id: :param link_id: :param consent_id: :return: JSON array """ try: endpoint = str(api.url_for(self, service_id=service_id, link_id=link_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: service_id = str(service_id) except Exception as exp: error_title = "Unsupported service_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Check query variables try: status_id = request.args.get('status_id', "") status_id = str(status_id) except Exception as exp: raise ApiError(code=400, title="Unsupported status_id", detail=repr(exp), source=endpoint) else: logger.info("status_id from query params: {}".format(status_id)) # Get Consent Record try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_cr(cr_id=consent_id, slr_id=link_id, subject_id=service_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Service ID was {}, Service Link ID was {} and Consent ID was {}.".format(service_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get Consent Status Records try: logger.info("Fetching Consent Status Records") db_entries, account_id_list = get_csrs(account_id="", consent_id=consent_id, status_id=status_id) except IndexError as exp: error_title = "Consent Status Records not found with provided information" error_detail = "Service ID was {}, Service Link ID was {} and Consent ID was {}. Status ID from query parameters was {}.".format(service_id, link_id, consent_id, status_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Status Records found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Status Records Fetched") # Response data container try: db_entry_list = db_entries response_data = {} response_data['data'] = db_entry_list except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) for account_id_entry in account_id_list: create_event_log_entry( account_id=account_id_entry, actor="Operator", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusForService(Resource): @requires_api_auth_sdk def get(self, service_id, link_id, consent_id, status_id): """ Fetch Consent Status Record :param service_id: :param link_id: :param consent_id: :param status_id: :return: """ try: endpoint = str(api.url_for(self, service_id=service_id, link_id=link_id, consent_id=consent_id, status_id=status_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: service_id = str(service_id) except Exception as exp: error_title = "Unsupported service_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: status_id = str(status_id) except Exception as exp: error_title = "Unsupported status_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Get Consent Record try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_cr(cr_id=consent_id, slr_id=link_id, subject_id=service_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Service ID was {}, Service Link ID was {} and Consent ID was {}.".format(service_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get Consent Status Record try: logger.info("Fetching Consent Record") cr_entry, account_id_from_db = get_csr(cr_id=consent_id, account_id="", csr_id=status_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Consent ID was {} and Consent Status ID was {}.".format(consent_id, status_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Response data container try: response_data = {} response_data['data'] = cr_entry except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + repr(response_data)) create_event_log_entry( account_id=account_id_from_db, actor="Operator", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + repr(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) class ApiConsentStatusLastForService(Resource): @requires_api_auth_sdk def get(self, service_id, link_id, consent_id): """ Fetch last Consent Status Record :param service_id: :param link_id: :param consent_id: :return: """ try: endpoint = str(api.url_for(self, service_id=service_id, link_id=link_id, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: service_id = str(service_id) except Exception as exp: error_title = "Unsupported service_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: link_id = str(link_id) except Exception as exp: error_title = "Unsupported link_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Get Consent Record try: logger.info("Fetching Consent Record") cr, account_id_from_db = get_cr(cr_id=consent_id, subject_id=service_id, slr_id=link_id) except IndexError as exp: error_title = "Consent Record not found with provided information" error_detail = "Service ID was {}, Service Link ID was {} and Consent ID was {}.".format(service_id, link_id, consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=500, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Consent Record Fetched") # Get last Consent Status Record try: logger.info("Fetching last Consent Status Record") csr_dict = get_last_cr_status(consent_id=consent_id) except IndexError as exp: error_title = "Consent Status Record not found with provided information" error_detail = "Consent ID was {}".format(consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "No Consent Status Record found" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Last Consent Status Record Fetched") logger.debug("Consent Status Record: " + json.dumps(csr_dict)) # Response data container try: response_data = {} response_data['data'] = csr_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=account_id_from_db, actor="Operator", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) ## # Authorisation token class AuthorisationTokenData(Resource): @requires_api_auth_sdk def get(self, consent_id): """ Fetch data needed to construct Authorisation token. :param consent_id: :return: """ try: endpoint = str(api.url_for(self, consent_id=consent_id)) except Exception as exp: endpoint = str(__name__) finally: logger.info("Request to: " + str(endpoint)) logger.info("Fetching SDK API Key") api_key_sdk = get_sdk_api_key(endpoint=endpoint) logger.debug("api_key_sdk: " + api_key_sdk) # Check path variables try: consent_id = str(consent_id) except Exception as exp: error_title = "Unsupported consent_id" logger.error(error_title + repr(exp)) raise ApiError(code=400, title=error_title, detail=repr(exp), source=endpoint) # Init Sink's Consent Record Object try: sink_cr_entry = ConsentRecord(consent_id=consent_id, role="Sink") except Exception as exp: error_title = "Failed to create Sink's Consent Record object" logger.error(error_title + ": " + repr(exp)) raise ApiError(code=500, title=error_title, detail=repr(exp), source=endpoint) else: logger.debug("sink_cr_entry: " + sink_cr_entry.log_entry) try: source_cr, sink_slr = get_auth_token_data(sink_cr_object=sink_cr_entry) except IndexError as exp: error_title = "Required data for Authorisation token could not be collected with provided information" error_detail = "Consent ID was {}".format(consent_id) logger.error(error_title + " - " + error_detail + ": " + repr(exp)) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) except Exception as exp: error_title = "Could not get data for Authorisation token" error_detail = repr(exp) logger.error(error_title + " - " + error_detail) raise ApiError(code=404, title=error_title, detail=error_detail, source=endpoint) else: logger.info("Authorisation token data Fetched") logger.debug("Source Service's Consent Record: " + source_cr.log_entry) logger.debug("Sink Service's Service Link Record: " + sink_slr.log_entry) # Response data container try: response_data = {} response_data['data'] = {} response_data['data']['consent_record'] = source_cr.to_api_dict response_data['data']['service_link_record'] = sink_slr.to_api_dict except Exception as exp: logger.error('Could not prepare response data: ' + repr(exp)) raise ApiError(code=500, title="Could not prepare response data", detail=repr(exp), source=endpoint) else: logger.info('Response data ready') logger.debug('response_data: ' + json.dumps(response_data)) create_event_log_entry( account_id=source_cr.accounts_id, actor="Operator", action="GET", resource=endpoint, timestamp=get_utc_time() ) response_data_dict = dict(response_data) logger.debug('response_data_dict: ' + json.dumps(response_data_dict)) return make_json_response(data=response_data_dict, status_code=200) # Register resources api.add_resource( ApiAccountConsent, '/accounts/<string:account_id>/servicelinks/<string:source_link_id>/<string:sink_link_id>/consents', '/accounts/<string:account_id>/servicelinks/<string:source_link_id>/<string:sink_link_id>/consents/', endpoint='authorisation_give_consent' ) api.add_resource( ApiAccountConsentStatus, '/accounts/<string:account_id>/consents/<string:consent_id>/statuses', '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/', endpoint='authorisation_consent_status' ) api.add_resource( ApiAccountConsentStatusSigned, '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/signed', '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/signed/', endpoint='authorisation_consent_status_signed' ) api.add_resource( ApiConsentsForServiceLinkRecord, '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents', '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/', endpoint='authorisation_account_link_consents' ) api.add_resource( ApiConsentForServiceLinkRecord, '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>', '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/', endpoint='authorisation_account_link_consent' ) api.add_resource( ApiLastConsentForServiceLinkRecord, '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/last', '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/last/', endpoint='authorisation_account_link_last_consent' ) api.add_resource( ApiConsentStatusesForServiceLinkRecord, '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses', '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/', endpoint='authorisation_account_link_consent_statuses' ) api.add_resource( ApiConsentStatusForServiceLinkRecord, '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/<string:status_id>', '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/<string:status_id>/', endpoint='authorisation_account_link_consent_status' ) api.add_resource( ApiAccountConsentStatusLastForServiceLinkRecord, '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/last', '/accounts/<string:account_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/last/', endpoint='authorisation_account_link_consent_status_last' ) api.add_resource( ApiConsentsForAccount, '/accounts/<string:account_id>/consents', '/accounts/<string:account_id>/consents/', endpoint='authorisation_account_consents' ) api.add_resource( ApiConsentForAccount, '/accounts/<string:account_id>/consents/<string:consent_id>', '/accounts/<string:account_id>/consents/<string:consent_id>/', endpoint='authorisation_account_consent' ) api.add_resource( ApiConsentStatusesForAccount, '/accounts/<string:account_id>/consents/<string:consent_id>/statuses', '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/', endpoint='authorisation_account_consent_statuses' ) api.add_resource( ApiConsentStatusForAccount, '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/<string:status_id>', '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/<string:status_id>/', endpoint='authorisation_account_consent_status' ) api.add_resource( ApiAccountConsentStatusLast, '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/last', '/accounts/<string:account_id>/consents/<string:consent_id>/statuses/last/', endpoint='authorisation_account_consent_status_last' ) ## For Service api.add_resource( ApiConsentsForService, '/services/<string:service_id>/servicelinks/<string:link_id>/consents', '/services/<string:service_id>/servicelinks/<string:link_id>/consents/', endpoint='authorisation_service_consents' ) api.add_resource( ApiConsentForService, '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>', '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/', endpoint='authorisation_service_consent' ) api.add_resource( ApiConsentStatusesForService, '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses', '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/', endpoint='authorisation_service_consent_statuses' ) api.add_resource( ApiConsentStatusForService, '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/<string:status_id>', '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/<string:status_id>/', endpoint='authorisation_service_consent_status' ) api.add_resource( ApiConsentStatusLastForService, '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/last', '/services/<string:service_id>/servicelinks/<string:link_id>/consents/<string:consent_id>/statuses/last/', endpoint='authorisation_service_consent_status_last' ) api.add_resource( AuthorisationTokenData, '/consents/<string:consent_id>/authorisationtoken/', endpoint='authorisation-token' )

44.84029

184

0.636629

14,844

123,535

5.034694

0.017785

0.0566

0.039125

0.038804

0.938449

0.901733

0.884686

0.870971

0.857015

0.835526

0

0.006517

0.272158

123,535

2,754

185

44.856572

0.824666

0.044635

0

0.805326

0

0.00551

0.199926

0.037287

0

1

0.009183

false

0

0.004132

0

0.03168

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0

null

0

1

0

1

0

null

0

7

8815a5f2290988f0f3bece29932f81cb57fb371a

11,658

py

Python

decora_wifi/models/app.py

balloob/python-decora_wifi

47900ad67002f3655fc4c799518bc4e73293ceb4

[ "MIT" ]

33

2017-09-02T16:37:15.000Z

2021-12-28T15:24:39.000Z

decora_wifi/models/app.py

balloob/python-decora_wifi

47900ad67002f3655fc4c799518bc4e73293ceb4

[ "MIT" ]

17

2017-09-12T04:53:07.000Z

2022-01-25T03:31:45.000Z

decora_wifi/models/app.py

balloob/python-decora_wifi

47900ad67002f3655fc4c799518bc4e73293ceb4

[ "MIT" ]

21

2018-01-29T22:50:06.000Z

2022-01-06T02:30:47.000Z

# Leviton Cloud Services API model App. # Auto-generated by api_scraper.py. # # Copyright 2017 Tim Lyakhovetskiy <tlyakhov@gmail.com> # # This code is released under the terms of the MIT license. See the LICENSE # file for more details. from decora_wifi.base_model import BaseModel class App(BaseModel): def __init__(self, session, model_id=None): super(App, self).__init__(session, model_id) @classmethod def count(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps/count" return session.call_api(api, attribs, 'get') def count_organizations(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations/count".format(self._id) return self._session.call_api(api, attribs, 'get') def count_preferences(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences/count".format(self._id) return self._session.call_api(api, attribs, 'get') def count_subscription_plans(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans/count".format(self._id) return self._session.call_api(api, attribs, 'get') def count_updates(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates/count".format(self._id) return self._session.call_api(api, attribs, 'get') @classmethod def create(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps" return session.call_api(api, attribs, 'post') @classmethod def create_many(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps" return session.call_api(api, attribs, 'post') def create_organizations(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations".format(self._id) return self._session.call_api(api, attribs, 'post') def create_preferences(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences".format(self._id) return self._session.call_api(api, attribs, 'post') def create_subscription_plans(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans".format(self._id) return self._session.call_api(api, attribs, 'post') def create_updates(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates".format(self._id) return self._session.call_api(api, attribs, 'post') def delete_by_id(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}".format(self._id) return self._session.call_api(api, attribs, 'delete') def delete_organizations(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations".format(self._id) return self._session.call_api(api, attribs, 'delete') def delete_preferences(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences".format(self._id) return self._session.call_api(api, attribs, 'delete') def delete_subscription_plans(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans".format(self._id) return self._session.call_api(api, attribs, 'delete') def delete_updates(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates".format(self._id) return self._session.call_api(api, attribs, 'delete') def destroy_by_id_organizations(self, organization_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations/{1}".format(self._id, organization_id) return self._session.call_api(api, attribs, 'delete') def destroy_by_id_preferences(self, preference_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences/{1}".format(self._id, preference_id) return self._session.call_api(api, attribs, 'delete') def destroy_by_id_subscription_plans(self, subscription_plan_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans/{1}".format(self._id, subscription_plan_id) return self._session.call_api(api, attribs, 'delete') def destroy_by_id_updates(self, update_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates/{1}".format(self._id, update_id) return self._session.call_api(api, attribs, 'delete') def exists(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/exists".format(self._id) return self._session.call_api(api, attribs, 'get') @classmethod def find(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps" items = session.call_api(api, attribs, 'get') result = [] if items is not None: for data in items: model = App(session, data['id']) model.data = data result.append(model) return result def find_by_id(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}".format(self._id) data = self._session.call_api(api, attribs, 'get') self.data.update(data) return self def find_by_id_organizations(self, organization_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations/{1}".format(self._id, organization_id) data = self._session.call_api(api, attribs, 'get') from .organization import Organization model = Organization(self._session, data['id']) model.data = data return model def find_by_id_preferences(self, preference_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences/{1}".format(self._id, preference_id) data = self._session.call_api(api, attribs, 'get') from .preference import Preference model = Preference(self._session, data['id']) model.data = data return model def find_by_id_subscription_plans(self, subscription_plan_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans/{1}".format(self._id, subscription_plan_id) return self._session.call_api(api, attribs, 'get') def find_by_id_updates(self, update_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates/{1}".format(self._id, update_id) return self._session.call_api(api, attribs, 'get') @classmethod def find_one(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps/findOne" return session.call_api(api, attribs, 'get') def refresh(self): api = "/Apps/{0}".format(self._id) result = self._session.call_api(api, {}, 'get') if result is not None: self.data.update(result) return self def get_organizations(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations".format(self._id) items = self._session.call_api(api, attribs, 'get') from .organization import Organization result = [] if items is not None: for data in items: model = Organization(self._session, data['id']) model.data = data result.append(model) return result def get_preferences(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences".format(self._id) items = self._session.call_api(api, attribs, 'get') from .preference import Preference result = [] if items is not None: for data in items: model = Preference(self._session, data['id']) model.data = data result.append(model) return result def get_subscription_plans(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans".format(self._id) return self._session.call_api(api, attribs, 'get') def get_updates(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates".format(self._id) return self._session.call_api(api, attribs, 'get') def replace_by_id(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/replace".format(self._id) return self._session.call_api(api, attribs, 'post') @classmethod def replace_or_create(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps/replaceOrCreate" return session.call_api(api, attribs, 'post') @classmethod def update_all(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps/update" return session.call_api(api, attribs, 'post') def update_attributes(self, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}".format(self._id) data = self._session.call_api(api, attribs, 'put') self.data.update(attribs) return self def update_by_id_organizations(self, organization_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/organizations/{1}".format(self._id, organization_id) data = self._session.call_api(api, attribs, 'put') from .organization import Organization model = Organization(self._session, data['id']) model.data = data return model def update_by_id_preferences(self, preference_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/preferences/{1}".format(self._id, preference_id) data = self._session.call_api(api, attribs, 'put') from .preference import Preference model = Preference(self._session, data['id']) model.data = data return model def update_by_id_subscription_plans(self, subscription_plan_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/subscriptionPlans/{1}".format(self._id, subscription_plan_id) return self._session.call_api(api, attribs, 'put') def update_by_id_updates(self, update_id, attribs=None): if attribs is None: attribs = {} api = "/Apps/{0}/updates/{1}".format(self._id, update_id) return self._session.call_api(api, attribs, 'put') @classmethod def upsert(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps" data = session.call_api(api, attribs, 'put') model = App(session, data['id']) model.data = data return model @classmethod def upsert_with_where(cls, session, attribs=None): if attribs is None: attribs = {} api = "/Apps/upsertWithWhere" return session.call_api(api, attribs, 'post')

34.389381

86

0.598559

1,408

11,658

4.790483

0.067472

0.044626

0.089251

0.108377

0.90126

0.898147

0.887176

0.882135

0.854707

0.840474

0

0.005955

0.279722

11,658

338

87

34.491124

0.797309

0.019043

0

0.763636

1

0

0.09075

0.059421

0

1

0.16

false

0

0.025455

0

0.345455

0

null

0

1

0

1

0

null

0

8

ee00ff0d3a1853116d339444a46027ed144a160a

189

py

Python

drosoph_vae/models/__init__.py

samuelsmal/drosophVAE

4b1887e55a5eed1d26c07b6c43de59ffab5fc7c7

[ "MIT" ]

null

drosoph_vae/models/__init__.py

samuelsmal/drosophVAE

4b1887e55a5eed1d26c07b6c43de59ffab5fc7c7

[ "MIT" ]

null

drosoph_vae/models/__init__.py

samuelsmal/drosophVAE

4b1887e55a5eed1d26c07b6c43de59ffab5fc7c7

[ "MIT" ]

null

from drosoph_vae.models.drosoph_vae import DrosophVAE from drosoph_vae.models.drosoph_vae_conv import DrosophVAEConv from drosoph_vae.models.drosoph_vae_skip_conv import DrosophVAESkipConv

47.25

71

0.904762

27

189

6

0.37037

0.259259

0.37037

0.555556

0

0.063492

189

3

72

63

0.915254

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

ee5506aa5cb3a711bd0bc045e3564ce1cc11f342

5,683

py

Python

tests/api/utils/schema/analytics.py

satroutr/poppy

27417f86854d9e0a04726acc263ef0a2ce9f8f6e

[ "Apache-2.0" ]

3

2017-07-05T20:09:59.000Z

2018-11-27T22:02:57.000Z

tests/api/utils/schema/analytics.py

satroutr/poppy

27417f86854d9e0a04726acc263ef0a2ce9f8f6e

[ "Apache-2.0" ]

24

2017-04-18T15:14:04.000Z

2019-03-20T19:09:07.000Z

tests/api/utils/schema/analytics.py

satroutr/poppy

27417f86854d9e0a04726acc263ef0a2ce9f8f6e

[ "Apache-2.0" ]

8

2017-04-03T13:24:27.000Z

2021-11-08T20:28:10.000Z

# Copyright (c) 2016 Rackspace, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or # implied. # See the License for the specific language governing permissions and # limitations under the License. get_request_count = { 'type': 'object', 'properties': { 'domain': {'type': 'string', 'format': 'uri'}, 'requestCount': {'type': 'object', 'properties': { 'India': {'type': 'array', 'items': {'type': 'array'}}, 'EMEA': {'type': 'array', 'items': {'type': 'array'}}, 'APAC': {'type': 'array', 'items': {'type': 'array'}}, 'North America': { 'type': 'array', 'items': {'type': 'array'}}, 'South America': { 'type': 'array', 'items': {'type': 'array'}}, 'Japan': {'type': 'array', 'items': {'type': 'array'}}, }}, 'flavor': {'type': 'string', 'enum': ['cdn']}, 'provider': {'type': 'string', 'enum': ['akamai']}, } } get_bandwidthOut = { 'type': 'object', 'properties': { 'domain': {'type': 'string', 'format': 'uri'}, 'bandwidthOut': {'type': 'object', 'properties': { 'India': {'type': 'array', 'items': {'type': 'array'}}, 'EMEA': {'type': 'array', 'items': {'type': 'array'}}, 'APAC': {'type': 'array', 'items': {'type': 'array'}}, 'North America': { 'type': 'array', 'items': {'type': 'array'}}, 'South America': { 'type': 'array', 'items': {'type': 'array'}}, 'Japan': {'type': 'array', 'items': {'type': 'array'}}, }}, 'flavor': {'type': 'string', 'enum': ['cdn']}, 'provider': {'type': 'string', 'enum': ['akamai']}, } } get_httpResponseCode_2XX = { 'type': 'object', 'properties': { 'domain': {'type': 'string', 'format': 'uri'}, 'httpResponseCode_2XX': {'type': 'object', 'properties': { 'India': {'type': 'array', 'items': {'type': 'array'}}, 'EMEA': {'type': 'array', 'items': {'type': 'array'}}, 'APAC': {'type': 'array', 'items': {'type': 'array'}}, 'North America': { 'type': 'array', 'items': {'type': 'array'}}, 'South America': { 'type': 'array', 'items': {'type': 'array'}}, 'Japan': {'type': 'array', 'items': {'type': 'array'}}, }}, 'flavor': {'type': 'string', 'enum': ['cdn']}, 'provider': {'type': 'string', 'enum': ['akamai']}, } } get_httpResponseCode_3XX = { 'type': 'object', 'properties': { 'domain': {'type': 'string', 'format': 'uri'}, 'httpResponseCode_3XX': {'type': 'object', 'properties': { 'India': {'type': 'array', 'items': {'type': 'array'}}, 'EMEA': {'type': 'array', 'items': {'type': 'array'}}, 'APAC': {'type': 'array', 'items': {'type': 'array'}}, 'North America': { 'type': 'array', 'items': {'type': 'array'}}, 'South America': { 'type': 'array', 'items': {'type': 'array'}}, 'Japan': {'type': 'array', 'items': {'type': 'array'}}, }}, 'flavor': {'type': 'string', 'enum': ['cdn']}, 'provider': {'type': 'string', 'enum': ['akamai']}, } } get_httpResponseCode_4XX = { 'type': 'object', 'properties': { 'domain': {'type': 'string', 'format': 'uri'}, 'httpResponseCode_4XX': {'type': 'object', 'properties': { 'India': {'type': 'array', 'items': {'type': 'array'}}, 'EMEA': {'type': 'array', 'items': {'type': 'array'}}, 'APAC': {'type': 'array', 'items': {'type': 'array'}}, 'North America': { 'type': 'array', 'items': {'type': 'array'}}, 'South America': { 'type': 'array', 'items': {'type': 'array'}}, 'Japan': {'type': 'array', 'items': {'type': 'array'}}, }}, 'flavor': {'type': 'string', 'enum': ['cdn']}, 'provider': {'type': 'string', 'enum': ['akamai']}, } } get_httpResponseCode_5XX = { 'type': 'object', 'properties': { 'domain': {'type': 'string', 'format': 'uri'}, 'httpResponseCode_5XX': {'type': 'object', 'properties': { 'India': {'type': 'array', 'items': {'type': 'array'}}, 'EMEA': {'type': 'array', 'items': {'type': 'array'}}, 'APAC': {'type': 'array', 'items': {'type': 'array'}}, 'North America': { 'type': 'array', 'items': {'type': 'array'}}, 'South America': { 'type': 'array', 'items': {'type': 'array'}}, 'Japan': {'type': 'array', 'items': {'type': 'array'}}, }}, 'flavor': {'type': 'string', 'enum': ['cdn']}, 'provider': {'type': 'string', 'enum': ['akamai']}, } }

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0.431286

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5,683

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0.26601

0.206897

0.26601

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5,683

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1

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null

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9

ee899548a1b84acae0039602bbb116ac8072d89e

1,283

py

Python

Binary Search/875. Koko Eating Bananas.py

beckswu/Leetcode

480e8dc276b1f65961166d66efa5497d7ff0bdfd

[ "MIT" ]

138

2020-02-08T05:25:26.000Z

2021-11-04T11:59:28.000Z

Binary Search/875. Koko Eating Bananas.py

beckswu/Leetcode

480e8dc276b1f65961166d66efa5497d7ff0bdfd

[ "MIT" ]

null

Binary Search/875. Koko Eating Bananas.py

beckswu/Leetcode

480e8dc276b1f65961166d66efa5497d7ff0bdfd

[ "MIT" ]

24

2021-01-02T07:18:43.000Z

2022-03-20T08:17:54.000Z

class Solution: def minEatingSpeed(self, piles: List[int], h: int) -> int: def isok(k): count = 0 for p in piles: count += (p - 1) // k + 1 return count <= h l = 1 r = max(piles) while l < r: mid = (l + r)//2 if isok(mid): r = mid else: l = mid + 1 return l class Solution: def minEatingSpeed(self, piles: List[int], h: int) -> int: l, r = 1, max(piles) while l < r: m = (l + r) // 2 if sum((p + m - 1) // m for p in piles) > h: l = m + 1 else: r = m return l class Solution: def minEatingSpeed(self, piles: List[int], h: int) -> int: def isok(k): count = 0 for p in piles: if p <= k: count += 1 else: count += p // k + (1 if p % k != 0 else 0) return count <= h l = 1 r = max(piles) while l < r: mid = (l + r)//2 if isok(mid): r = mid else: l = mid + 1 return l

26.183673

62

0.342167

155

1,283

2.832258

0.180645

0.031891

0.109339

0.205011

0.822323

0.788155

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0.031142

0.549493

1,283

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26.183673

0.728374

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1

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1

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null

0

9

a0076ae00e8829a9db3e282b210ec8ef4da2b341

98

py

Python

models/__init__.py

ZenithClown/DQNProjects

3a9f022166022509fce0f4306ed5612854d5539f

[ "Apache-2.0" ]

null

models/__init__.py

ZenithClown/DQNProjects

3a9f022166022509fce0f4306ed5612854d5539f

[ "Apache-2.0" ]

null

models/__init__.py

ZenithClown/DQNProjects

3a9f022166022509fce0f4306ed5612854d5539f

[ "Apache-2.0" ]

null

# -*- encoding: utf-8 -*- from .linear import * # noqa: F403 from .trainer import * # noqa: F403

19.6

35

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98

4.692308

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0.327869

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7

4e548632bbb90189b06d8f7cdd841f8da639a602

9,729

py

Python

tests/em/static/test_IP_jvecjtvecadj.py

kimjaed/simpeg

b8d716f86a4ea07ba3085fabb24c2bc974788040

[ "MIT" ]

3

2020-11-27T03:18:28.000Z

2022-03-18T01:29:58.000Z

tests/em/static/test_IP_jvecjtvecadj.py

kimjaed/simpeg

b8d716f86a4ea07ba3085fabb24c2bc974788040

[ "MIT" ]

null

tests/em/static/test_IP_jvecjtvecadj.py

kimjaed/simpeg

b8d716f86a4ea07ba3085fabb24c2bc974788040

[ "MIT" ]

1

2021-01-14T08:33:45.000Z

from __future__ import print_function import unittest from SimPEG import Mesh from SimPEG import Maps from SimPEG import DataMisfit from SimPEG import Regularization from SimPEG import Optimization from SimPEG import Inversion from SimPEG import InvProblem from SimPEG import Tests import numpy as np import SimPEG.EM.Static.DC as DC import SimPEG.EM.Static.IP as IP np.random.seed(30) class IPProblemTestsCC(unittest.TestCase): def setUp(self): aSpacing = 2.5 nElecs = 5 surveySize = nElecs * aSpacing - aSpacing cs = surveySize / nElecs / 4 mesh = Mesh.TensorMesh([ [(cs, 10, -1.3), (cs, surveySize/cs), (cs, 10, 1.3)], [(cs, 3, -1.3), (cs, 3, 1.3)], # [(cs, 5, -1.3), (cs, 10)] ], 'CN') srcList = DC.Utils.WennerSrcList(nElecs, aSpacing, in2D=True) survey = IP.Survey(srcList) sigma = np.ones(mesh.nC) problem = IP.Problem3D_CC( mesh, sigma=sigma, etaMap=Maps.IdentityMap(mesh) ) problem.pair(survey) mSynth = np.ones(mesh.nC)*0.1 survey.makeSyntheticData(mSynth) # Now set up the problem to do some minimization dmis = DataMisfit.l2_DataMisfit(survey) reg = Regularization.Tikhonov(mesh) opt = Optimization.InexactGaussNewton( maxIterLS=20, maxIter=10, tolF=1e-6, tolX=1e-6, tolG=1e-6, maxIterCG=6 ) invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta=1e4) inv = Inversion.BaseInversion(invProb) self.inv = inv self.reg = reg self.p = problem self.mesh = mesh self.m0 = mSynth self.survey = survey self.dmis = dmis def test_misfit(self): passed = Tests.checkDerivative( lambda m: [ self.survey.dpred(m), lambda mx: self.p.Jvec(self.m0, mx) ], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) def test_adjoint(self): # Adjoint Test # u = np.random.rand(self.mesh.nC*self.survey.nSrc) v = np.random.rand(self.mesh.nC) w = np.random.rand(self.survey.dobs.shape[0]) wtJv = w.dot(self.p.Jvec(self.m0, v)) vtJtw = v.dot(self.p.Jtvec(self.m0, w)) passed = np.abs(wtJv - vtJtw) < 1e-10 print('Adjoint Test', np.abs(wtJv - vtJtw), passed) self.assertTrue(passed) def test_dataObj(self): passed = Tests.checkDerivative( lambda m: [self.dmis(m), self.dmis.deriv(m)], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) class IPProblemTestsN(unittest.TestCase): def setUp(self): aSpacing = 2.5 nElecs = 5 surveySize = nElecs * aSpacing - aSpacing cs = surveySize / nElecs / 4 mesh = Mesh.TensorMesh([ [(cs, 10, -1.3), (cs, surveySize/cs), (cs, 10, 1.3)], [(cs, 3, -1.3), (cs, 3, 1.3)], # [(cs, 5, -1.3), (cs, 10)] ], 'CN') srcList = DC.Utils.WennerSrcList(nElecs, aSpacing, in2D=True) survey = IP.Survey(srcList) sigma = np.ones(mesh.nC) problem = IP.Problem3D_N( mesh, sigma=sigma, etaMap=Maps.IdentityMap(mesh) ) problem.pair(survey) mSynth = np.ones(mesh.nC)*0.1 survey.makeSyntheticData(mSynth) # Now set up the problem to do some minimization dmis = DataMisfit.l2_DataMisfit(survey) reg = Regularization.Tikhonov(mesh) opt = Optimization.InexactGaussNewton( maxIterLS=20, maxIter=10, tolF=1e-6, tolX=1e-6, tolG=1e-6, maxIterCG=6 ) invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta=1e4) inv = Inversion.BaseInversion(invProb) self.inv = inv self.reg = reg self.p = problem self.mesh = mesh self.m0 = mSynth self.survey = survey self.dmis = dmis def test_misfit(self): passed = Tests.checkDerivative( lambda m: [ self.survey.dpred(m), lambda mx: self.p.Jvec(self.m0, mx) ], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) def test_adjoint(self): # Adjoint Test # u = np.random.rand(self.mesh.nC*self.survey.nSrc) v = np.random.rand(self.mesh.nC) w = np.random.rand(self.survey.dobs.shape[0]) wtJv = w.dot(self.p.Jvec(self.m0, v)) vtJtw = v.dot(self.p.Jtvec(self.m0, w)) passed = np.abs(wtJv - vtJtw) < 1e-8 print('Adjoint Test', np.abs(wtJv - vtJtw), passed) self.assertTrue(passed) def test_dataObj(self): passed = Tests.checkDerivative( lambda m: [self.dmis(m), self.dmis.deriv(m)], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) class IPProblemTestsCC_storeJ(unittest.TestCase): def setUp(self): aSpacing = 2.5 nElecs = 5 surveySize = nElecs * aSpacing - aSpacing cs = surveySize / nElecs / 4 mesh = Mesh.TensorMesh([ [(cs, 10, -1.3), (cs, surveySize/cs), (cs, 10, 1.3)], [(cs, 3, -1.3), (cs, 3, 1.3)], # [(cs, 5, -1.3), (cs, 10)] ], 'CN') srcList = DC.Utils.WennerSrcList(nElecs, aSpacing, in2D=True) survey = IP.Survey(srcList) sigma = np.ones(mesh.nC) problem = IP.Problem3D_CC( mesh, sigma=sigma, etaMap=Maps.IdentityMap(mesh), storeJ=True ) problem.pair(survey) mSynth = np.ones(mesh.nC)*0.1 survey.makeSyntheticData(mSynth) # Now set up the problem to do some minimization dmis = DataMisfit.l2_DataMisfit(survey) reg = Regularization.Tikhonov(mesh) opt = Optimization.InexactGaussNewton( maxIterLS=20, maxIter=10, tolF=1e-6, tolX=1e-6, tolG=1e-6, maxIterCG=6 ) invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta=1e4) inv = Inversion.BaseInversion(invProb) self.inv = inv self.reg = reg self.p = problem self.mesh = mesh self.m0 = mSynth self.survey = survey self.dmis = dmis def test_misfit(self): passed = Tests.checkDerivative( lambda m: [ self.survey.dpred(m), lambda mx: self.p.Jvec(self.m0, mx) ], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) def test_adjoint(self): # Adjoint Test # u = np.random.rand(self.mesh.nC*self.survey.nSrc) v = np.random.rand(self.mesh.nC) w = np.random.rand(self.survey.dobs.shape[0]) wtJv = w.dot(self.p.Jvec(self.m0, v)) vtJtw = v.dot(self.p.Jtvec(self.m0, w)) passed = np.abs(wtJv - vtJtw) < 1e-10 print('Adjoint Test', np.abs(wtJv - vtJtw), passed) self.assertTrue(passed) def test_dataObj(self): passed = Tests.checkDerivative( lambda m: [self.dmis(m), self.dmis.deriv(m)], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) class IPProblemTestsN_storeJ(unittest.TestCase): def setUp(self): aSpacing = 2.5 nElecs = 5 surveySize = nElecs * aSpacing - aSpacing cs = surveySize / nElecs / 4 mesh = Mesh.TensorMesh([ [(cs, 10, -1.3), (cs, surveySize/cs), (cs, 10, 1.3)], [(cs, 3, -1.3), (cs, 3, 1.3)], # [(cs, 5, -1.3), (cs, 10)] ], 'CN') srcList = DC.Utils.WennerSrcList(nElecs, aSpacing, in2D=True) survey = IP.Survey(srcList) sigma = np.ones(mesh.nC) problem = IP.Problem3D_N( mesh, sigma=sigma, etaMap=Maps.IdentityMap(mesh), storeJ=True ) problem.pair(survey) mSynth = np.ones(mesh.nC)*0.1 survey.makeSyntheticData(mSynth) # Now set up the problem to do some minimization dmis = DataMisfit.l2_DataMisfit(survey) reg = Regularization.Tikhonov(mesh) opt = Optimization.InexactGaussNewton( maxIterLS=20, maxIter=10, tolF=1e-6, tolX=1e-6, tolG=1e-6, maxIterCG=6 ) invProb = InvProblem.BaseInvProblem(dmis, reg, opt, beta=1e4) inv = Inversion.BaseInversion(invProb) self.inv = inv self.reg = reg self.p = problem self.mesh = mesh self.m0 = mSynth self.survey = survey self.dmis = dmis def test_misfit(self): passed = Tests.checkDerivative( lambda m: [ self.survey.dpred(m), lambda mx: self.p.Jvec(self.m0, mx) ], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) def test_adjoint(self): # Adjoint Test # u = np.random.rand(self.mesh.nC*self.survey.nSrc) v = np.random.rand(self.mesh.nC) w = np.random.rand(self.survey.dobs.shape[0]) wtJv = w.dot(self.p.Jvec(self.m0, v)) vtJtw = v.dot(self.p.Jtvec(self.m0, w)) passed = np.abs(wtJv - vtJtw) < 1e-8 print('Adjoint Test', np.abs(wtJv - vtJtw), passed) self.assertTrue(passed) def test_dataObj(self): passed = Tests.checkDerivative( lambda m: [self.dmis(m), self.dmis.deriv(m)], self.m0, plotIt=False, num=3 ) self.assertTrue(passed) if __name__ == '__main__': unittest.main()

30.498433

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0.551239

1,200

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0.036036

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0.324391

9,729

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30.59434

0.778336

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1

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null

0

1

0

8

4e8c5f5d2a77cbd104979bcf7a6e4e29d8276b9a

3,070

py

Python

spaceplanner/migrations/0002_auto_20200724_1236.py

prznoc/osplanner

c58ff129fde3f1513738cf27f9d3692fb7d549ea

[ "MIT" ]

null

spaceplanner/migrations/0002_auto_20200724_1236.py

prznoc/osplanner

c58ff129fde3f1513738cf27f9d3692fb7d549ea

[ "MIT" ]

null

spaceplanner/migrations/0002_auto_20200724_1236.py

prznoc/osplanner

c58ff129fde3f1513738cf27f9d3692fb7d549ea

[ "MIT" ]

null

# Generated by Django 2.2.5 on 2020-07-24 10:36 import django.core.validators from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('spaceplanner', '0001_initial'), ] operations = [ migrations.AlterField( model_name='employeepreferences', name='is_mac', field=models.BooleanField(default=False, verbose_name='Mac'), ), migrations.AlterField( model_name='employeepreferences', name='is_mac_preference', field=models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(3)], verbose_name='Mac priority'), ), migrations.AlterField( model_name='employeepreferences', name='large_screen', field=models.BooleanField(default=False, verbose_name='Large screen'), ), migrations.AlterField( model_name='employeepreferences', name='large_screen_preference', field=models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(3)], verbose_name='Large_screen priority'), ), migrations.AlterField( model_name='employeepreferences', name='noise', field=models.BooleanField(default=False, verbose_name='Noise'), ), migrations.AlterField( model_name='employeepreferences', name='noise_preference', field=models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(3)], verbose_name='Noise priority'), ), migrations.AlterField( model_name='employeepreferences', name='window', field=models.BooleanField(default=False, verbose_name='Window'), ), migrations.AlterField( model_name='employeepreferences', name='window_preference', field=models.IntegerField(default=0, validators=[django.core.validators.MinValueValidator(0), django.core.validators.MaxValueValidator(3)], verbose_name='Window priority'), ), migrations.AlterField( model_name='workstationpreferences', name='is_mac', field=models.BooleanField(default=False, verbose_name='Mac'), ), migrations.AlterField( model_name='workstationpreferences', name='large_screen', field=models.BooleanField(default=False, verbose_name='Large_screen'), ), migrations.AlterField( model_name='workstationpreferences', name='noise', field=models.BooleanField(default=False, verbose_name='Noise'), ), migrations.AlterField( model_name='workstationpreferences', name='window', field=models.BooleanField(default=False, verbose_name='Window'), ), ]

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0.156576

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0.641962

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3,070

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0.817787

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0.735294

1

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0.029412

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0

1

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1

0

1

0

null

0

8

4eabf2a813ce16099ad8420bfba6309ff1b07a0c

10,467

py

Python

listshuffler-be/tests/integration/test_shuffle.py

csiztom/listshuffler

d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5

[ "MIT" ]

null

listshuffler-be/tests/integration/test_shuffle.py

csiztom/listshuffler

d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5

[ "MIT" ]

null

listshuffler-be/tests/integration/test_shuffle.py

csiztom/listshuffler

d4fea7da3d506e93cca4a8e79c6f0ba98aebbac5

[ "MIT" ]

null

from lambda_client import lambda_client import hashlib import json from unittest import TestCase def convert_to_hash(val, mul=0): return str(int(hashlib.sha384((val + str(mul)).encode()).hexdigest(), 16)) class TestShuffle(TestCase): def test_simple(self): client = lambda_client() response = client.invoke(FunctionName="testPostInstance", Payload=json.dumps({"queryStringParameters": None, "body": None})) payload = json.loads(response['Payload'].read()) admin_id = json.loads(payload['body'])['adminID'] assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id1 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id1, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id1 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id2 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id2, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id2 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testPatchInstance", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'shuffledID': list_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPatchShuffle", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testGetListitem", Payload=json.dumps({"queryStringParameters": {'listItemID': listitem_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 assert convert_to_hash(listitem_id2) in json.loads( payload['body'])['pairs'] def test_complex(self): client = lambda_client() response = client.invoke(FunctionName="testPostInstance", Payload=json.dumps({"queryStringParameters": None, "body": None})) payload = json.loads(response['Payload'].read()) admin_id = json.loads(payload['body'])['adminID'] assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id1 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id1, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id1 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 2}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id2 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id2, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id2 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id3 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id3, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id3 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testPatchInstance", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'shuffledID': list_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPatchShuffle", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testGetListitem", Payload=json.dumps({"queryStringParameters": {'listItemID': listitem_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 assert convert_to_hash(listitem_id2) in json.loads( payload['body'])['pairs'] assert convert_to_hash(listitem_id2, 1) in json.loads( payload['body'])['pairs'] assert convert_to_hash(listitem_id3) in json.loads( payload['body'])['pairs'] def test_zero_prob(self): client = lambda_client() response = client.invoke(FunctionName="testPostInstance", Payload=json.dumps({"queryStringParameters": None, "body": None})) payload = json.loads(response['Payload'].read()) admin_id = json.loads(payload['body'])['adminID'] assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id1 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id1, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id1 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testPostList", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listName': '', 'multiplicity': 1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 list_id2 = json.loads(payload['body'])['listID'] response = client.invoke(FunctionName="testPostListitem", Payload=json.dumps({"queryStringParameters": {'listID': list_id2, 'listItem': ''}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 listitem_id2 = json.loads(payload['body'])['listItemID'] response = client.invoke(FunctionName="testGetProbabilities", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listID': list_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 probs = json.loads(payload['body'])['probabilities'] probs[listitem_id1][listitem_id2] = 0 response = client.invoke(FunctionName="testPatchProbabilities", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'listID': list_id1, 'probabilities': probs}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPatchInstance", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id, 'shuffledID': list_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 response = client.invoke(FunctionName="testPatchShuffle", Payload=json.dumps({"queryStringParameters": {'adminID': admin_id}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 400 response = client.invoke(FunctionName="testGetListitem", Payload=json.dumps({"queryStringParameters": {'listItemID': listitem_id1}, "body": None})) payload = json.loads(response['Payload'].read()) assert payload['statusCode'] == 200 assert convert_to_hash(listitem_id2) not in json.loads( payload['body'])['pairs']

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14cd7ecbaab70810f90e489e39b3d631799af049

211

py

Python

students/K33401/Goncharov_Vladimir/Lr2/django_project_goncharov/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

4

2020-09-03T15:41:42.000Z

2021-12-24T15:28:20.000Z

students/K33401/Goncharov_Vladimir/Lr2/django_project_goncharov/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

48

2020-09-13T20:22:42.000Z

2021-04-30T11:13:30.000Z

students/K33401/Goncharov_Vladimir/Lr2/django_project_goncharov/project_first_app/admin.py

ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021

bb91c91a56d21cec2b12ae4cc722eaa652a88420

[ "MIT" ]

69

2020-09-06T10:32:37.000Z

2021-11-28T18:13:17.000Z

from django.contrib import admin from .models import Driver, Car, DriverLicense, Ownership admin.site.register(Driver) admin.site.register(Car) admin.site.register(Ownership) admin.site.register(DriverLicense)

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py

Python

biovis_report/version.py

go-choppy/choppy-report

f233ba3b2eaaa9af8936b736ede25233a043dde5

[ "MIT" ]

1

2019-07-02T08:37:30.000Z

biovis_report/version.py

go-choppy/choppy-report

f233ba3b2eaaa9af8936b736ede25233a043dde5

[ "MIT" ]

null

biovis_report/version.py

go-choppy/choppy-report

f233ba3b2eaaa9af8936b736ede25233a043dde5

[ "MIT" ]

null

def get_version(): return '0.5.6'

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null

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0912f1de15ea2d8b956ad089f1cafac5ddc22063

91,026

py

Python

declaraciones/declaracion/migrations/0001_initial.py

gob-cdmx/declaraciones

90347c1572fa5b8137c5e0d23e6a7c6b2a0b2311

[ "MIT" ]

2

2019-10-17T02:40:12.000Z

2019-10-17T22:51:36.000Z

declaraciones/declaracion/migrations/0001_initial.py

gob-cdmx/declaraciones

90347c1572fa5b8137c5e0d23e6a7c6b2a0b2311

[ "MIT" ]

1

2019-10-02T20:23:12.000Z

declaraciones/declaracion/migrations/0001_initial.py

gob-cdmx/declaraciones

90347c1572fa5b8137c5e0d23e6a7c6b2a0b2311

[ "MIT" ]

4

2019-08-20T21:16:04.000Z

2021-07-01T03:08:10.000Z

# Generated by Django 2.2 on 2019-04-01 19:39 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import mptt.fields import uuid class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='ActivosBienes', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('id_activobien', models.IntegerField(null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ], ), migrations.CreateModel( name='CatActivoBien', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('activo_bien', models.CharField(max_length=45)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatAmbitosLaborales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ambito_laboral', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatDocumentosObtenidos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('documento_obtenido', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatEntesPublicos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ente_publico', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatEntidadesFederativas', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('entidad_federativa', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatEstadosCiviles', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('estado_civil', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatEstatusDeclaracion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('estatus_declaracion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatEstatusEstudios', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('estatus_estudios', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatFormasAdquisiciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('forma_adquisicion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatFuncionesPrincipales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('funcion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatGradosAcademicos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('grado_academico', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatMonedas', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('moneda', models.CharField(max_length=255)), ('moneda_abrev', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatNaturalezaMembresia', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('naturaleza_membresia', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatOrdenesGobierno', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('orden_gobierno', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatPaises', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('pais', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(max_length=3)), ], ), migrations.CreateModel( name='CatPoderes', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('poder', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatRegimenesMatrimoniales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('regimen_matrimonial', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatSectoresIndustria', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sector_industria', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTipoParticipacion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_participacion', models.CharField(blank=True, max_length=45, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTipoPersona', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_persona', models.CharField(blank=True, max_length=45, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposAcreedores', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_acreedor', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposActividad', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_actividad', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposAdeudos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_adeudo', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposApoyos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_apoyo', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposBeneficios', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_beneficio', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposBienes', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_bien', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposDeclaracion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_declaracion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposEspecificosInversiones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_especifico_inversion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposFideicomisos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_fideicomiso', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposIngresosVarios', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_ingreso_varios', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposInmuebles', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_inmueble', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposInstituciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_institucion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposInversiones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_inversion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposMetales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_metal', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposMuebles', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_mueble', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposOperaciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_operacion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposPasivos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_pasivo', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposRelacionesPersonales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_relacion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('grupo_familia', models.IntegerField(blank=True, null=True)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposRepresentaciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_representacion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTiposTitulares', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_titular', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTipoVia', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_via', models.CharField(blank=True, max_length=45, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatTitularTiposRelaciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_relacion', models.CharField(max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='CatUnidadesTemporales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('unidad_temporal', models.CharField(blank=True, max_length=45, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('default', models.IntegerField(default=0)), ('orden', models.IntegerField(default=1)), ('codigo', models.CharField(blank=True, max_length=45)), ], ), migrations.CreateModel( name='Declaraciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('folio', models.UUIDField(default=uuid.uuid4, editable=False)), ('fecha_recepcion', models.DateField(blank=True, null=True)), ('fecha_declaracion', models.DateField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_tipos_declaracion', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposDeclaracion')), ], ), migrations.CreateModel( name='Domicilios', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('municipio', models.CharField(blank=True, max_length=255)), ('cp', models.CharField(blank=True, max_length=255)), ('colonia', models.CharField(blank=True, max_length=255)), ('nombre_via', models.CharField(blank=True, max_length=255)), ('num_exterior', models.CharField(blank=True, max_length=255)), ('num_interior', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_entidades_federativas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntidadesFederativas')), ('cat_pais', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_tipo_via', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTipoVia')), ], ), migrations.CreateModel( name='InfoPersonalVar', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('es_fisica', models.BooleanField(blank=True, default=None, null=True)), ('razon_social', models.CharField(blank=True, max_length=255, null=True)), ('nombres', models.CharField(blank=True, max_length=255)), ('apellido1', models.CharField(blank=True, max_length=255)), ('apellido2', models.CharField(blank=True, max_length=255)), ('curp', models.CharField(blank=True, max_length=255)), ('rfc', models.CharField(blank=True, max_length=255)), ('fecha_nacimiento', models.DateField(blank=True, null=True)), ('num_id_identificacion', models.CharField(blank=True, max_length=255)), ('email_personal', models.CharField(blank=True, max_length=255)), ('tel_particular', models.CharField(blank=True, max_length=255)), ('tel_movil', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255, null=True)), ('otro_estado_civil', models.CharField(blank=True, max_length=255, null=True)), ('actividad_economica', models.CharField(blank=True, max_length=255, null=True)), ('ocupacion_girocomercial', models.CharField(blank=True, max_length=255, null=True)), ('nombre_negocio', models.CharField(blank=True, max_length=255, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_entidades_federativas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntidadesFederativas')), ('cat_estados_civiles', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEstadosCiviles')), ('cat_pais', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_regimenes_matrimoniales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatRegimenesMatrimoniales')), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('cat_tipo_persona', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTipoPersona')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('domicilios', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Domicilios')), ], ), migrations.CreateModel( name='Observaciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('observacion', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ], ), migrations.CreateModel( name='SueldosPublicos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('rfc', models.CharField(blank=True, max_length=255)), ('ingreso_bruto_anual', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('duracion_dias', models.DecimalField(blank=True, decimal_places=2, max_digits=6, null=True)), ('duracion_meses', models.DecimalField(blank=True, decimal_places=2, max_digits=6, null=True)), ('duracion_anual', models.DecimalField(blank=True, decimal_places=2, max_digits=6, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('es_transaccion', models.BooleanField(blank=True, default=None, null=True)), ('fecha_transaccion', models.DateField(blank=True, null=True)), ('otro_ente', models.CharField(blank=True, max_length=255, null=True)), ('cat_entes_publicos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntesPublicos')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='SociosComerciales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('actividad_vinculante', models.CharField(blank=True, max_length=255)), ('tipo_vinculo', models.CharField(blank=True, max_length=255)), ('antiguedad_vinculo', models.CharField(blank=True, max_length=255)), ('rfc_entidad_vinculante', models.CharField(blank=True, max_length=255)), ('porcentaje_participacion', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ('socio_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ], ), migrations.CreateModel( name='Secciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('seccion', models.CharField(max_length=255)), ('url', models.CharField(blank=True, max_length=255)), ('parametro', models.CharField(blank=True, default='', max_length=255)), ('order', models.IntegerField(default=1)), ('lft', models.PositiveIntegerField(db_index=True, editable=False)), ('rght', models.PositiveIntegerField(db_index=True, editable=False)), ('tree_id', models.PositiveIntegerField(db_index=True, editable=False)), ('level', models.PositiveIntegerField(db_index=True, editable=False)), ('parent', mptt.fields.TreeForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='children', to='declaracion.Secciones')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='SeccionDeclaracion', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('estatus', models.IntegerField(choices=[(0, 'Pendiente'), (1, 'Completa'), (2, 'Incompleta')], default=0)), ('aplica', models.BooleanField()), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='declaracion.Observaciones', verbose_name='')), ('seccion', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='status', to='declaracion.Secciones')), ], ), migrations.CreateModel( name='Representaciones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_representacion', models.CharField(blank=True, max_length=255)), ('fecha_inicio', models.DateField(blank=True, null=True)), ('pagado', models.BooleanField(blank=True, default=None, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('es_representacion_activa', models.BooleanField(blank=True, default=None, null=True)), ('monto', models.DecimalField(blank=True, decimal_places=2, max_digits=13, null=True)), ('es_mueble', models.BooleanField(blank=True, default=None, null=True)), ('otro_mueble', models.CharField(blank=True, max_length=255, null=True)), ('cat_tipos_muebles', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposMuebles')), ('cat_tipos_representaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposRepresentaciones')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('info_personal_var', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='OtrasPartes', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('fecha_inicio_relacion', models.DateField(blank=True, null=True)), ('otra_relacion', models.CharField(blank=True, max_length=255)), ('ocupacion_profesion', models.CharField(blank=True, max_length=255)), ('intereses_comunes', models.BooleanField(blank=True, default=None, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_titular_tipos_relaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTitularTiposRelaciones')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('declarante_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='declarante_otras_partes', to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ('otraspartes_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='otraspartes_otras_partes', to='declaracion.InfoPersonalVar')), ], ), migrations.CreateModel( name='Nacionalidades', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_paises', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='nacionalidades_cat_paises', to='declaracion.CatPaises')), ('info_personal_var', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='nacionalidades_info_personal_var', to='declaracion.InfoPersonalVar')), ], ), migrations.CreateModel( name='MueblesNoRegistrables', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_operacion', models.CharField(blank=True, max_length=255)), ('otro_bien_mueble', models.CharField(blank=True, max_length=255)), ('descripcion_bien', models.CharField(blank=True, max_length=255)), ('otro_titular', models.CharField(blank=True, max_length=255)), ('otra_forma', models.CharField(blank=True, max_length=255)), ('fecha_adquisicion', models.DateField(blank=True, null=True)), ('precio_adquisicion', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('activos_bienes', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_formas_adquisiciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFormasAdquisiciones')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_tipos_muebles', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposMuebles')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('cat_tipos_titulares', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposTitulares')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='Membresias', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otras_instituciones', models.CharField(blank=True, max_length=255)), ('nombre_institucion', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('puesto_rol', models.CharField(blank=True, max_length=255)), ('fecha_inicio', models.DateField(blank=True, null=True)), ('pagado', models.BooleanField(blank=True, default=None, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otra_naturaleza', models.CharField(blank=True, max_length=255, null=True)), ('cat_naturaleza_membresia', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatNaturalezaMembresia')), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('cat_tipos_instituciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposInstituciones')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('domicilios', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Domicilios')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='Inversiones', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_operacion', models.CharField(blank=True, max_length=255)), ('otra_inversion', models.CharField(blank=True, max_length=255)), ('otro_tipo_especifico', models.CharField(blank=True, max_length=255)), ('num_cuenta', models.CharField(blank=True, max_length=255)), ('otra_forma', models.CharField(blank=True, max_length=255)), ('fecha_inicio', models.DateField(blank=True, null=True)), ('monto_original', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('tasa_interes', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('saldo_actual', models.DecimalField(blank=True, decimal_places=2, max_digits=10, null=True)), ('plazo', models.CharField(blank=True, max_length=255)), ('cat_tipos_titulares', models.CharField(blank=True, max_length=255)), ('otro_tipo_titular', models.CharField(blank=True, max_length=255)), ('porcentaje_inversion', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_formas_adquisiciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFormasAdquisiciones')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_paises', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_tipos_especificos_inversiones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposEspecificosInversiones')), ('cat_tipos_inversiones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposInversiones')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('cat_unidades_temporales', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatUnidadesTemporales')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('info_personal_var', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='IngresosVarios', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('ingreso_bruto_anual', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('duracion_dias', models.DecimalField(blank=True, decimal_places=2, max_digits=6, null=True)), ('duracion_meses', models.DecimalField(blank=True, decimal_places=2, max_digits=6, null=True)), ('duracion_anual', models.DecimalField(blank=True, decimal_places=2, max_digits=6, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otra_actividad', models.CharField(blank=True, max_length=255)), ('es_transaccion', models.DateField(blank=True, null=True)), ('es_mueble', models.BooleanField(blank=True, default=None, null=True)), ('otro_mueble', models.CharField(blank=True, max_length=255, null=True)), ('descripcion_actividad', models.CharField(blank=True, max_length=255, null=True)), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_tipos_actividad', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposActividad')), ('cat_tipos_ingresos_varios', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposIngresosVarios')), ('cat_tipos_muebles', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposMuebles')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('info_personal_var', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.AddField( model_name='infopersonalvar', name='nacionalidades', field=models.ManyToManyField(blank=True, related_name='info_personal_var_nacionalidaes', through='declaracion.Nacionalidades', to='declaracion.CatPaises'), ), migrations.AddField( model_name='infopersonalvar', name='observaciones', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones'), ), migrations.CreateModel( name='InfoPersonalFija', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('nombres', models.CharField(blank=True, max_length=255)), ('apellido1', models.CharField(blank=True, max_length=255)), ('apellido2', models.CharField(blank=True, max_length=255)), ('curp', models.CharField(blank=True, max_length=255)), ('rfc', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('fecha_nacimiento', models.DateField(blank=True, null=True)), ('otro_ente', models.CharField(blank=True, max_length=255, null=True)), ('fecha_inicio', models.DateField(blank=True, null=True)), ('cat_ente_publico', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntesPublicos')), ('cat_entidades_federativas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntidadesFederativas')), ('cat_pais', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('usuario', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Fideicomisos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_operacion', models.CharField(blank=True, max_length=255)), ('otro_fideicomiso', models.CharField(blank=True, max_length=255)), ('objetivo_fideicomiso', models.CharField(blank=True, max_length=255)), ('num_registro', models.CharField(blank=True, max_length=255)), ('fecha_creacion', models.DateField(blank=True, null=True)), ('plazo_vigencia', models.CharField(blank=True, max_length=255)), ('valor_fideicomiso', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('ingreso_monetario', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('institucion_fiduciaria', models.CharField(blank=True, max_length=255)), ('fideicomisario', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('activos_bienes', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_paises', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_tipos_fideicomisos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposFideicomisos')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='ExperienciaLaboral', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otro_poder', models.CharField(blank=True, max_length=255)), ('nombre_institucion', models.CharField(blank=True, max_length=255)), ('unidad_area_administrativa', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('jerarquia_rango', models.CharField(blank=True, max_length=255)), ('cargo_puesto', models.CharField(blank=True, max_length=255)), ('fecha_ingreso', models.DateField(blank=True, null=True)), ('fecha_salida', models.DateField(blank=True, null=True)), ('otra_funcion', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otro_ambitos_laborales', models.CharField(blank=True, max_length=255)), ('cat_ambitos_laborales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatAmbitosLaborales')), ('cat_funciones_principales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFuncionesPrincipales')), ('cat_ordenes_gobierno', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatOrdenesGobierno')), ('cat_poderes', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPoderes')), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('domicilios', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Domicilios')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='Encargos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('empleo_cargo_comision', models.CharField(blank=True, max_length=255)), ('honorarios', models.BooleanField(blank=True, default=None, null=True)), ('nivel_encargo', models.CharField(blank=True, max_length=255)), ('area_adscripcion', models.CharField(blank=True, max_length=255)), ('posesion_conclusion', models.DateField(blank=True, null=True)), ('telefono_laboral', models.CharField(blank=True, max_length=255)), ('email_laboral', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('otra_funcion', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('posesion_inicio', models.DateField(blank=True, null=True)), ('telefono_extension', models.CharField(blank=True, max_length=255)), ('otro_naturalezas_juridicas', models.CharField(blank=True, max_length=255)), ('otro_ente', models.CharField(blank=True, max_length=255, null=True)), ('cat_entes_publicos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntesPublicos')), ('cat_funciones_principales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFuncionesPrincipales')), ('cat_ordenes_gobierno', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatOrdenesGobierno')), ('cat_paises', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_poderes', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPoderes')), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('domicilios', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Domicilios')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='EmpresasSociedades', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('rol_empresa', models.CharField(blank=True, max_length=255)), ('actividad_economica', models.BooleanField(blank=True, default=None, null=True)), ('porcentaje_participacion', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('declarante_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='declarante_empresas_sociedades', to='declaracion.InfoPersonalVar')), ('empresa_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='empresa_empresas_sociedades', to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='EfectivoMetales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otro_tipo_operacion', models.CharField(blank=True, max_length=255)), ('monto_efectivo', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('otro_metal', models.CharField(blank=True, max_length=255)), ('unidades', models.CharField(blank=True, max_length=255)), ('monto_metales', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('otra_forma', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_formas_adquisiciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFormasAdquisiciones')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_tipos_metales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposMetales')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='DeudasOtros', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_operacion', models.CharField(blank=True, max_length=255)), ('otro_tipo_acreedor', models.CharField(blank=True, max_length=255)), ('otro_tipo_adeudo', models.CharField(blank=True, max_length=255)), ('numero_cuenta', models.CharField(blank=True, max_length=255)), ('fecha_generacion', models.DateField(blank=True, null=True)), ('monto_original', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('tasa_interes', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('saldo_pendiente', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('monto_abonado', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('plazo', models.CharField(blank=True, max_length=255)), ('otro_titular', models.CharField(blank=True, max_length=255)), ('porcentaje_adeudo', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('garantia', models.BooleanField(blank=True, default=None, null=True)), ('nombre_garantes', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('acreedor_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_paises', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_tipos_acreedores', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposAcreedores')), ('cat_tipos_adeudos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposAdeudos')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('cat_tipos_pasivos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposPasivos')), ('cat_tipos_titulares', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposTitulares')), ('cat_unidades_temporales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatUnidadesTemporales')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.AddField( model_name='declaraciones', name='info_personal_fija', field=models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalFija'), ), migrations.CreateModel( name='DatosCurriculares', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('institucion_educativa', models.CharField(blank=True, max_length=255)), ('municipio', models.CharField(blank=True, max_length=255)), ('carrera_o_area', models.CharField(blank=True, max_length=255)), ('conclusion', models.CharField(blank=True, max_length=255)), ('cedula_profesional', models.CharField(blank=True, max_length=255)), ('diploma', models.CharField(blank=True, max_length=255)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_documentos_obtenidos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatDocumentosObtenidos')), ('cat_entidades_federativas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntidadesFederativas')), ('cat_estatus_estudios', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEstatusEstudios')), ('cat_grados_academicos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatGradosAcademicos')), ('cat_pais', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='CuentasPorCobrar', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('fecha_prestamo', models.DateField(blank=True, null=True)), ('monto_original', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('tasa_interes', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('saldo_pendiente', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('fecha_vencimiento', models.DateField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('activos_bienes', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('info_personal_var', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='ConyugeDependientes', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('habita_domicilio', models.BooleanField(blank=True, default=None, null=True)), ('medio_contacto', models.CharField(blank=True, max_length=255)), ('ingresos_propios', models.BooleanField(blank=True, default=None, null=True)), ('ocupacion_profesion', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('proveedor_contratista', models.BooleanField(blank=True, default=None, null=True)), ('intereses_comunes', models.BooleanField(blank=True, default=None, null=True)), ('cabildeo_sector', models.BooleanField(blank=True, default=None, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otra_relacion', models.CharField(blank=True, max_length=255)), ('cat_tipos_relaciones_personales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposRelacionesPersonales')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('declarante_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='declarante_conyugue_dependientes', to='declaracion.InfoPersonalVar')), ('dependiente_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, related_name='dependiente_conyugue_dependientes', to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='ClientesPrincipales', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('porcentaje_facturacion_cliente', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('nombre_encargado', models.CharField(blank=True, max_length=255, null=True)), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('info_personal_var', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='BienesPersonas', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('porcentaje', models.DecimalField(blank=True, decimal_places=2, max_digits=5, null=True)), ('es_propietario', models.BooleanField(blank=True, default=None, null=True)), ('precio_adquision', models.DecimalField(blank=True, decimal_places=2, max_digits=13, null=True)), ('el_adquirio', models.BooleanField(blank=True, default=None, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otra_relacion', models.CharField(blank=True, max_length=255, null=True)), ('bien_activosbienes', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_tipo_participacion', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTipoParticipacion')), ('otra_persona', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, related_name='otra_persona', to='declaracion.InfoPersonalVar')), ('propietario_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('tipo_relacion', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposRelacionesPersonales')), ], ), migrations.CreateModel( name='BienesMuebles', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_operacion', models.CharField(blank=True, max_length=255)), ('otro_tipo_mueble', models.CharField(blank=True, max_length=255)), ('marca', models.CharField(blank=True, max_length=255)), ('submarca', models.CharField(blank=True, max_length=255)), ('modelo', models.IntegerField(blank=True, null=True)), ('num_serie', models.CharField(blank=True, max_length=255)), ('otro_titular', models.CharField(blank=True, max_length=255)), ('num_registro_vehicular', models.CharField(blank=True, max_length=255)), ('otra_forma', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('fecha_adquisicion', models.DateField(blank=True, null=True)), ('precio_adquisicion', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('activos_bienes', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_entidades_federativas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntidadesFederativas')), ('cat_formas_adquisiciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFormasAdquisiciones')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_paises', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatPaises')), ('cat_tipos_muebles', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposMuebles')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('cat_tipos_titulares', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposTitulares')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='BienesIntangibles', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otra_operacion', models.CharField(blank=True, max_length=255)), ('propietario_registrado', models.CharField(blank=True, max_length=255)), ('descripcion', models.CharField(blank=True, max_length=255)), ('otra_dependencia', models.CharField(blank=True, max_length=255)), ('num_registro', models.CharField(blank=True, max_length=255)), ('fecha_registro', models.DateField(blank=True, null=True)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('precio_adquisicion', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('otra_forma', models.CharField(blank=True, max_length=255)), ('fecha_vencimiento', models.DateField(blank=True, null=True)), ('precio_total_adquisicion', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otro_ente', models.CharField(blank=True, max_length=255, null=True)), ('activos_bienes', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_entes_publicos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatEntesPublicos')), ('cat_formas_adquisiciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFormasAdquisiciones')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='BienesInmuebles', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('superficie_terreno', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('superficie_construccion', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('otro_titular', models.CharField(blank=True, max_length=255)), ('num_escritura_publica', models.CharField(blank=True, max_length=255)), ('num_registro_publico', models.CharField(blank=True, max_length=255)), ('folio_real', models.CharField(blank=True, max_length=255)), ('fecha_contrato_compra', models.DateField(blank=True, null=True)), ('otra_forma', models.CharField(blank=True, max_length=255)), ('fecha_adquisicion', models.DateField(blank=True, null=True)), ('precio_adquisicion', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('valor_catastral', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('otra_operacion', models.CharField(blank=True, max_length=255, null=True)), ('otro_inmueble', models.CharField(blank=True, max_length=255, null=True)), ('activos_bienes', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.ActivosBienes')), ('cat_formas_adquisiciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatFormasAdquisiciones')), ('cat_monedas', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatMonedas')), ('cat_tipos_inmuebles', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposInmuebles')), ('cat_tipos_operaciones', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposOperaciones')), ('cat_tipos_titulares', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposTitulares')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('domicilios', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Domicilios')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='BeneficiosGratuitos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('otros_beneficios', models.CharField(blank=True, max_length=255)), ('origen_beneficio', models.CharField(blank=True, max_length=255)), ('otro_sector', models.CharField(blank=True, max_length=255)), ('valor_beneficio', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('cat_tipos_beneficios', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposBeneficios')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='BeneficiosEspecie', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('tipo_bien_servicio', models.CharField(blank=True, max_length=255)), ('valor_mercado', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('otro_familiar', models.CharField(blank=True, max_length=255)), ('otra_relacion', models.CharField(blank=True, max_length=255)), ('fecha_inicio', models.DateField(blank=True, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('cat_sectores_industria', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatSectoresIndustria')), ('cat_tipos_relaciones_personales', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposRelacionesPersonales')), ('declaraciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones')), ('domicilios', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Domicilios')), ('info_personal_var', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.CreateModel( name='Apoyos', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('nombre_programa', models.CharField(blank=True, max_length=255)), ('institucion_otorgante', models.CharField(blank=True, max_length=255)), ('otro_apoyo', models.CharField(blank=True, max_length=255)), ('valor_anual', models.DecimalField(blank=True, decimal_places=2, max_digits=12, null=True)), ('created_at', models.DateTimeField(auto_now_add=True)), ('updated_at', models.DateTimeField(auto_now=True)), ('beneficiario_infopersonalvar', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.InfoPersonalVar')), ('cat_ordenes_gobierno', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatOrdenesGobierno')), ('cat_tipos_apoyos', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatTiposApoyos')), ('observaciones', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Observaciones')), ], ), migrations.AddField( model_name='activosbienes', name='cat_activo_bien', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.CatActivoBien'), ), migrations.AddField( model_name='activosbienes', name='declaraciones', field=models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='declaracion.Declaraciones'), ), ]

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094c9db42885daf882fc54d0e8e0f1ed9e2f35a8

8,698

py

Python

tests/unit/confidant/routes/certificates_test.py

chadwhitacre/confidant

dd788147b355f760767cf3b9487671c67948ade3

[ "Apache-2.0" ]

1,820

2015-11-04T17:57:16.000Z

2022-03-31T16:47:24.000Z

tests/unit/confidant/routes/certificates_test.py

chadwhitacre/confidant

dd788147b355f760767cf3b9487671c67948ade3

[ "Apache-2.0" ]

186

2015-11-04T18:21:52.000Z

2022-01-14T20:31:31.000Z

tests/unit/confidant/routes/certificates_test.py

isabella232/confidant

3dac318c3e1f29bae5771084ad29a4bc121f1771

[ "Apache-2.0" ]

136

2015-11-04T19:23:14.000Z

2022-02-25T01:51:29.000Z

import json from confidant.app import create_app from confidant.services import certificatemanager def test_get_certificate(mocker): app = create_app() mocker.patch('confidant.settings.USE_AUTH', False) mocker.patch( 'confidant.authnz.get_logged_in_user', return_value='badservice', ) mocker.patch( 'confidant.routes.certificates.authnz.user_is_user_type', return_value=True, ) mocker.patch( 'confidant.routes.certificates.authnz.user_is_service', return_value=False, ) ret = app.test_client().get( '/v1/certificates/development/test.example.com', follow_redirects=False, ) assert ret.status_code == 403 mocker.patch( 'confidant.routes.certificates.authnz.user_is_user_type', return_value=False, ) mocker.patch( 'confidant.routes.certificates.authnz.get_logged_in_user', return_value='test@example.com', ) mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=False, ) ret = app.test_client().get( '/v1/certificates/development/test.example.com', follow_redirects=False, ) assert ret.status_code == 403 mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=True, ) mocker.patch('confidant.authnz.get_logged_in_user', return_value='test') ca_object = certificatemanager.CertificateAuthority('development') mocker.patch( ('confidant.routes.certificates.certificatemanager.get_ca'), return_value=ca_object, ) ca_object.issue_certificate_with_key = mocker.Mock( return_value={ 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', 'key': 'test_key', }, ) ret = app.test_client().get( '/v1/certificates/development/test.example.com', follow_redirects=False, ) json_data = json.loads(ret.data) assert ret.status_code == 200 assert json_data == { 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', 'key': 'test_key', } ca_object.issue_certificate_with_key = mocker.Mock( side_effect=certificatemanager.CertificateNotReadyError(), ) ret = app.test_client().get( '/v1/certificates/development/test.example.com', follow_redirects=False, ) assert ret.status_code == 429 assert ret.headers['Retry-After'] == '2' def test_get_certificate_from_csr(mocker): ca_object = certificatemanager.CertificateAuthority('development') key = ca_object.generate_key() csr = ca_object.generate_csr(key, 'test.example.com') pem_csr = ca_object.encode_csr(csr) app = create_app() mocker.patch('confidant.settings.USE_AUTH', False) ret = app.test_client().post( '/v1/certificates/development', data=json.dumps({}), content_type='application/json', follow_redirects=False, ) assert ret.status_code == 400 ret = app.test_client().post( '/v1/certificates/development', data=json.dumps({'validity': 7}), content_type='application/json', follow_redirects=False, ) assert ret.status_code == 400 ret = app.test_client().post( '/v1/certificates/development', data=json.dumps({'csr': 'invalid_csr'}), content_type='application/json', follow_redirects=False, ) assert ret.status_code == 400 mocker.patch( 'confidant.routes.certificates.authnz.user_is_user_type', return_value=True, ) mocker.patch( 'confidant.routes.certificates.authnz.user_is_service', return_value=False, ) mocker.patch( 'confidant.routes.certificates.authnz.get_logged_in_user', return_value='badservice', ) ret = app.test_client().post( '/v1/certificates/development', data=json.dumps({ 'csr': pem_csr, 'validity': 7, }), content_type='application/json', follow_redirects=False, ) assert ret.status_code == 403 mocker.patch( 'confidant.routes.certificates.authnz.user_is_user_type', return_value=False, ) mocker.patch( 'confidant.routes.certificates.authnz.get_logged_in_user', return_value='test@example.com', ) mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=False, ) ret = app.test_client().post( '/v1/certificates/development', data=json.dumps({ 'csr': pem_csr, 'validity': 7, }), content_type='application/json', follow_redirects=False, ) assert ret.status_code == 403 mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=True, ) mocker.patch( ('confidant.routes.certificates.certificatemanager.get_ca'), return_value=ca_object, ) ca_object.issue_certificate = mocker.Mock( return_value='test-certificate-arn', ) ca_object.get_certificate_from_arn = mocker.Mock( return_value={ 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', }, ) ret = app.test_client().post( '/v1/certificates/development', data=json.dumps({ 'csr': pem_csr, 'validity': 7, }), content_type='application/json', follow_redirects=False, ) json_data = json.loads(ret.data) assert ret.status_code == 200 assert json_data == { 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', } def test_list_cas(mocker): app = create_app() mocker.patch('confidant.settings.USE_AUTH', False) mocker.patch( 'confidant.routes.certificates.authnz.get_logged_in_user', return_value='test@example.com', ) mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=False, ) ret = app.test_client().get( '/v1/cas', follow_redirects=False, ) assert ret.status_code == 403 mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=True, ) mocker.patch('confidant.authnz.get_logged_in_user', return_value='test') cas = [{ 'ca': 'development', 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', 'tags': {'environment': 'development'}, }] mocker.patch( ('confidant.routes.certificates.certificatemanager.list_cas'), return_value=cas, ) ret = app.test_client().get('/v1/cas', follow_redirects=False) json_data = json.loads(ret.data) assert ret.status_code == 200 assert json_data == { 'cas': [{ 'ca': 'development', 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', 'tags': {'environment': 'development'}, }], } def test_get_ca(mocker): app = create_app() mocker.patch('confidant.settings.USE_AUTH', False) mocker.patch( 'confidant.routes.certificates.authnz.get_logged_in_user', return_value='test@example.com', ) mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=False, ) ret = app.test_client().get( '/v1/cas', follow_redirects=False, ) assert ret.status_code == 403 mocker.patch( 'confidant.routes.certificates.acl_module_check', return_value=True, ) mocker.patch('confidant.authnz.get_logged_in_user', return_value='test') ca_object = certificatemanager.CertificateAuthority('development') mocker.patch( ('confidant.routes.certificates.certificatemanager.get_ca'), return_value=ca_object, ) ca_object.get_certificate_authority_certificate = mocker.Mock( return_value={ 'ca': 'development', 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', 'tags': {'environment': 'development'}, }, ) ret = app.test_client().get('/v1/cas/development', follow_redirects=False) json_data = json.loads(ret.data) assert ret.status_code == 200 assert json_data == { 'ca': 'development', 'certificate': 'test_certificate', 'certificate_chain': 'test_certificate_chain', 'tags': {'environment': 'development'}, }

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null

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7

11add8fa249fc071d577de895f07d82a7bf6c611

82

py

Python

main.py

donno2048/qruine

7ec170fb7984de70e4a6765ef2dbb6624d54cd41

[ "MIT" ]

null

main.py

donno2048/qruine

7ec170fb7984de70e4a6765ef2dbb6624d54cd41

[ "MIT" ]

null

main.py

donno2048/qruine

7ec170fb7984de70e4a6765ef2dbb6624d54cd41

[ "MIT" ]

null

exec(s:='import qrcode;qrcode.make("exec(s:=%r)"%s).save(open("main.png", "wb"))')

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7

11e9822f551972428279d54e90255955921bdc6d

163

py

Python

src/__init__.py

paulwarkentin/tf-ssd-vgg

f48e3ccbb8eb092d3cb82a9d90164c7328880477

[ "MIT" ]

5

2021-09-26T07:19:42.000Z

2022-03-11T23:25:36.000Z

ssd/training/__init__.py

bharatmahaur/ComparativeStudy

2e3b6de882acc2a465e1b7c8bcd23cc9c8181d3d

[ "Apache-2.0" ]

null

ssd/training/__init__.py

bharatmahaur/ComparativeStudy

2e3b6de882acc2a465e1b7c8bcd23cc9c8181d3d

[ "Apache-2.0" ]

null

## ## /src/__init__.py ## ## Created by Paul Warkentin <paul@warkentin.email> on 22/06/2018. ## Updated by Paul Warkentin <paul@warkentin.email> on 22/06/2018. ##

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12

ee966251920b7bf5fee84508474b0ce744609e6f

33,994

py

Python

FreeFaucet.io_Bot.py

snoowl26/Crypto-Faucet-Bot

736695ce318e8f86846824d7c705a535e42650ef

[ "MIT" ]

7

2021-03-04T05:08:12.000Z

2022-03-25T09:04:13.000Z

FreeFaucet.io_Bot.py

snoowl26/Crypto-Faucet-Bot

736695ce318e8f86846824d7c705a535e42650ef

[ "MIT" ]

null

FreeFaucet.io_Bot.py

snoowl26/Crypto-Faucet-Bot

736695ce318e8f86846824d7c705a535e42650ef

[ "MIT" ]

10

2021-03-05T06:08:57.000Z

2022-03-28T13:11:24.000Z

from selenium import webdriver from selenium.webdriver.common.action_chains import ActionChains from selenium.webdriver.common.keys import Keys from selenium.common.exceptions import NoSuchElementException from selenium.common.exceptions import ElementNotInteractableException from selenium.common.exceptions import UnexpectedAlertPresentException from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions from selenium.common.exceptions import TimeoutException from io import BytesIO import time import keyboard import sys from random import randrange import os driver_path = "chromedriver.exe" brave_path = "C:/Program Files/Google/Chrome/Application/chrome.exe" dir_path = os.path.dirname(os.path.realpath(__file__)) credentials = "creds.txt" timer = 0 option = webdriver.ChromeOptions() option.binary_location = brave_path option.add_argument("--incognito") #option.add_argument("--headless") with open(credentials) as f: creds = f.readlines() time.sleep(1) bot_attempt = 0 dash_bot = 0 nem_bot = 0 ada_bot = 0 xrp_bot = 0 btc_bot = 0 steam_bot = 0 usdc_bot = 0 link_bot = 0 tron_bot = 0 bnc_bot = 0 neo_bot = 0 ltc_bot = 0 eth_bot = 0 dash_skip = 0 nem_skip = 0 ada_skip = 0 xrp_skip = 0 btc_skip = 0 steam_skip = 0 usdc_skip = 0 link_skip = 0 tron_skip = 0 bnc_skip = 0 neo_skip = 0 ltc_skip = 0 eth_skip = 0 def login(): try: print("Checking for ad overlay") ad_check = browser.find_element_by_id("fbf-mobile-close-coinzilla") ad_check.click() print("Ads closed") except NoSuchElementException: print("No Ads found") dash_un_field = browser.find_element_by_xpath( "/html/body/main/section/section[1]/div/div/div[2]/div/div[1]/div[1]/input") dash_un_field.click() dash_un_field.send_keys(username) print("Entered username") time.sleep(1) dash_pw_field = browser.find_element_by_xpath( "/html/body/main/section/section[1]/div/div/div[2]/div/div[1]/div[2]/input") dash_pw_field.click() dash_pw_field.send_keys(password) print("Entered password") time.sleep(1) login_button = browser.find_element_by_xpath("/html/body/main/section/section[1]/div/div/div[2]/div/div[1]/button") login_button.click() print("Clicked Login Button") browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() print("Browser launched") while True: if dash_bot <= 2: try: print("Navigating to https://Freedash.io") browser.get("https://freedash.io/free") username = creds[9] password = creds[10] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 dash_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: dash_skip += 1 print("https://Freedash.io skipped for bot cool down") if dash_skip > 2: dash_skip = 0 dash_bot = 0 print("Final cool down for https://Freedash.io") #################################################################### if nem_bot <= 2: try: print("Navigating to https://Freenem.com") browser.get("https://freenem.com/free") username = creds[13] password = creds[14] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 nem_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: nem_skip += 1 print("https://Freenem.com skipped for bot cool down") if nem_skip > 2: nem_skip = 0 nem_bot = 0 print("Final cool down for https://Freenem.com") #################################################################### if ada_bot <= 2: try: print("Navigating to https://Freecardano.com") browser.get("https://freecardano.com/free") username = creds[17] password = creds[18] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 ada_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: ada_skip += 1 print("https://Freecardano.com skipped for bot cool down") if ada_skip > 2: ada_skip = 0 ada_bot = 0 print("Final cool down for https://Freecardano.com") #################################################################### if xrp_bot <=2: try: print("Navigating to https://coinfaucet.io") browser.get("https://coinfaucet.io/free") username = creds[21] password = creds[22] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 xrp_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: xrp_skip += 1 print("https://coinfaucet.io skipped for bot cool down") if xrp_skip > 2: xrp_skip = 0 xrp_bot = 0 print("Final cool down for https://coinfaucet.io") #################################################################### if btc_bot <= 2: try: print("Navigating to https://Freebitcoin.io") browser.get("https://freebitcoin.io/free") username = creds[25] password = creds[26] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 btc_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: btc_skip += 1 print("https://Freebitcoin.io skipped for bot cooldown") if btc_skip > 2: btc_skip = 0 btc_bot = 0 print("Final cooldown for https://Freebitcoin.io") #################################################################### if steam_bot <=2: try: print("Navigating to https://Freesteam.io") browser.get("https://freesteam.io/free") username = creds[29] password = creds[30] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 steam_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: steam_skip += 1 print("https://Freesteam.io skipped for bot cooldown") if steam_skip > 2: steam_skip = 0 steam_bot = 0 print("Final cooldown for https://Freesteam.io") #################################################################### if usdc_bot <= 2: try: print("Navigating to https://freeusdcoin.com/") browser.get("https://freeusdcoin.com/free") username = creds[33] password = creds[34] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 usdc_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: usdc_skip += 1 print("https://freeusdcoin.com/ skipped for bot cooldown") if usdc_skip > 2: usdc_skip = 0 usdc_bot = 0 print("Final cooldown for https://freeusdcoin.com/") #################################################################### if link_bot <= 2: try: print("Navigating to https://Freechainlink.io") browser.get("https://freechainlink.io/free") username = creds[37] password = creds[38] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 link_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: link_skip += 1 print("https://Freechainlink.io skipped for bot cooldown") if link_skip > 2: link_skip = 0 link_bot = 0 print("Final cooldown for https://Freechainlink.io") #################################################################### if tron_bot <= 2: try: print("Navigating to https://Free-tron.com") browser.get("https://free-tron.com/free") username = creds[41] password = creds[42] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 tron_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: tron_skip += 1 print("https://Free-tron.com skipped for bot cooldown") if tron_skip > 2: tron_skip = 0 tron_bot = 0 print("Final cooldown for https://Free-tron.com") #################################################################### if bnc_bot <= 2: try: print("Navigating to https://Freebinancecoin.com") browser.get("https://freebinancecoin.com/free") username = creds[45] password = creds[46] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 bnb_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: bnb_skip += 1 print("https://Freebinancecoin.com skipped for bot cooldown") if bnb_skip > 2: bnb_skip = 0 bnb_bot = 0 print("Final cooldown for https://Freebinancecoin.com") #################################################################### if neo_bot <= 2: try: print("Navigating to https://Freeneo.io") browser.get("https://freeneo.io/free") username = creds[49] password = creds[50] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 neo_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: neo_skip += 1 print("https://Freeneo.io skipped for bot cooldown") if neo_skip > 2: neo_skip = 0 neo_bot = 0 print("Final cooldown for https://Freeneo.io") #################################################################### if ltc_bot <= 2: try: print("Navigating to https://Free-ltc.com") browser.get("https://free-ltc.com/free") username = creds[53] password = creds[54] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 ltc_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: ltc_skip += 1 print("https://Free-ltc.com skipped for bot cooldown") if ltc_skip > 2: ltc_skip = 0 ltc_bot = 0 print("Final cooldown for https://Free-ltc.com") #################################################################### if eth_bot <= 2: try: print("Navigating to https://freeethereum.com/") browser.get("https://freeethereum.com/free") username = creds[57] password = creds[58] login() very_human = randrange(60) # time.sleep(very_human) timer += very_human for remaining in range(very_human, 0, -1): sys.stdout.write("\r") sys.stdout.write("Waiting {:2d} seconds.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rChecking for Roll Button \n") try: roll_button = browser.find_element_by_xpath("/html/body/main/div/div/div/div/div/div[5]/button") roll_button.click() print("Clicked roll button") except ElementNotInteractableException: print("No roll button found") time.sleep(10) try: WebDriverWait(browser, 4).until(expected_conditions.alert_is_present()) alert = browser.switch_to.alert alert.accept() print("Found bot alert, refreshing page") browser.refresh() bot_attempt += 1 eth_bot += 1 if bot_attempt > 10: bot_attempt = 0 print("Bot check loop detected") print("Seriously, who makes bot detection like this?") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() except TimeoutException: print("No alerts found") except: print("Error encountered on page") browser.close() browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window() else: eth_skip += 1 print("https://freeethereum.com/ skipped for bot cooldown") if eth_skip > 2: eth_skip = 0 eth_bot = 0 print("Final cooldown for https://freeethereum.com/") #################################################################### browser.close() print("All sites collected") total_timer = 3500 - timer print("Waiting for countdown: " + str(total_timer)) for remaining in range(total_timer, 0, -1): sys.stdout.write("\r") sys.stdout.write("{:2d} seconds remaining.".format(remaining)) sys.stdout.flush() time.sleep(1) sys.stdout.write("\rComplete! \n") timer = 0 browser = webdriver.Chrome(executable_path=driver_path, chrome_options=option) browser.maximize_window()

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ee98d613512a9bfbd81eafea10bc7efbfd5e750e

39,917

py

Python

tests/test_systems.py

jbradberry/universe

109261f75c49435d118cf9c5238124466a03d2d3

[ "MIT" ]

null

tests/test_systems.py

jbradberry/universe

109261f75c49435d118cf9c5238124466a03d2d3

[ "MIT" ]

24

2020-04-14T20:32:21.000Z

2021-08-03T13:29:45.000Z

tests/test_systems.py

jbradberry/universe

109261f75c49435d118cf9c5238124466a03d2d3

[ "MIT" ]

3

2016-10-28T19:20:30.000Z

2021-02-28T03:19:49.000Z

import unittest from universe import engine, systems class UpdateTestCase(unittest.TestCase): def test_create(self): state = { 'turn': 2500, 'width': 1000, 'seq': 2, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, ] } updates = { 0: [ {'action': 'create', 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ], } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) def test_create_with_existing(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ] } updates = { 0: [ {'action': 'create', 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 422, 'y_t': 210, 'warp': 10} ], } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 2) self.assertEqual( orders[3].serialize(), {'pk': 3, 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 422, 'y_t': 210, 'warp': 10} ) def test_create_with_conflict(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ] } updates = { 0: [ {'action': 'create', 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 422, 'y_t': 210, 'warp': 10} ], } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) def test_reorder(self): state = { 'turn': 2500, 'width': 1000, 'seq': 4, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, {'pk': 3, 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 422, 'y_t': 210, 'warp': 10} ] } updates = { 0: [ {'action': 'reorder', 'actor_id': 1, 'seq1': 0, 'seq2': 1} ], } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 2) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 637, 'y_t': 786, 'warp': 8} ) self.assertEqual( orders[3].serialize(), {'pk': 3, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 422, 'y_t': 210, 'warp': 10} ) def test_reorder_does_not_exist(self): state = { 'turn': 2500, 'width': 1000, 'seq': 4, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, {'pk': 3, 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 422, 'y_t': 210, 'warp': 10} ] } updates = { 0: [ {'action': 'reorder', 'actor_id': 1, 'seq1': 0, 'seq2': 2} ], } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 2) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) self.assertEqual( orders[3].serialize(), {'pk': 3, 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 422, 'y_t': 210, 'warp': 10} ) def test_update(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 0: [ {'action': 'update', 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 422, 'y_t': 210, 'warp': 10} ] } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 422, 'y_t': 210, 'warp': 10} ) def test_update_does_not_exist(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 0: [ {'action': 'update', 'type': 'movement_order', 'actor_id': 1, 'seq': 1, 'x_t': 422, 'y_t': 210, 'warp': 10} ] } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) def test_delete(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 0: [ {'action': 'delete', 'actor_id': 1, 'seq': 0} ] } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 0) def test_delete_does_not_exist(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 0: [ {'action': 'delete', 'actor_id': 1, 'seq': 1} ] } S = engine.GameState(state, updates) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) def test_issued_by_non_existent_species(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 1: [ {'action': 'delete', 'actor_id': 1, 'seq': 0} ] } S = engine.GameState(state, updates) self.assertEqual(len(S.manager._updates), 0) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) def test_issued_for_non_existent_entity(self): state = { 'turn': 2500, 'width': 1000, 'seq': 3, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 1, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 0: [ {'action': 'delete', 'actor_id': 3, 'seq': 0} ] } S = engine.GameState(state, updates) self.assertEqual(len(S.manager._updates), 0) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[2].serialize(), {'pk': 2, 'type': 'movement_order', 'actor_id': 1, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) def test_issued_by_wrong_species(self): state = { 'turn': 2500, 'width': 1000, 'seq': 4, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'species', 'name': 'Romulan', 'plural_name': 'Romulans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, {'pk': 2, 'type': 'ship', 'x': 480, 'y': 235, 'owner_id': 0}, {'pk': 3, 'type': 'movement_order', 'actor_id': 2, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8}, ] } updates = { 1: [ {'action': 'delete', 'actor_id': 2, 'seq': 0} ] } S = engine.GameState(state, updates) self.assertEqual(len(S.manager._updates), 0) systems.UpdateSystem().process(S.manager) orders = S.manager.get_entities('orders') self.assertEqual(len(orders), 1) self.assertEqual( orders[3].serialize(), {'pk': 3, 'type': 'movement_order', 'actor_id': 2, 'seq': 0, 'x_t': 637, 'y_t': 786, 'warp': 8} ) class MiningTestCase(unittest.TestCase): def test_uninhabited(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 100, 'boranium_conc': 100, 'germanium_conc': 100, }, ] } S = engine.GameState(state, {}) systems.MiningSystem().process(S.manager) planets = S.manager.get_entities('mineral_concentrations') self.assertEqual(len(planets), 1) self.assertEqual(planets[1].ironium or 0, 0) self.assertEqual(planets[1].germanium or 0, 0) self.assertEqual(planets[1].boranium or 0, 0) def test_no_mines(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 100, 'boranium_conc': 100, 'germanium_conc': 100, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) systems.MiningSystem().process(S.manager) planets = S.manager.get_entities('mineral_concentrations') self.assertEqual(len(planets), 1) self.assertEqual(planets[1].ironium or 0, 0) self.assertEqual(planets[1].germanium or 0, 0) self.assertEqual(planets[1].boranium or 0, 0) def test_full_concentration(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1_000_000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 100, 'boranium_conc': 100, 'germanium_conc': 100, 'mines': 1000, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) systems.MiningSystem().process(S.manager) planets = S.manager.get_entities('mineral_concentrations') self.assertEqual(len(planets), 1) self.assertEqual(planets[1].ironium or 0, 1000) self.assertEqual(planets[1].germanium or 0, 1000) self.assertEqual(planets[1].boranium or 0, 1000) def test_partial_concentration(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1_000_000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'mines': 1000, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) systems.MiningSystem().process(S.manager) planets = S.manager.get_entities('mineral_concentrations') self.assertEqual(len(planets), 1) self.assertEqual(planets[1].ironium or 0, 500) self.assertEqual(planets[1].germanium or 0, 500) self.assertEqual(planets[1].boranium or 0, 500) def test_depleted(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1_000_000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 1, 'boranium_conc': 1, 'germanium_conc': 1, 'mines': 1000, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) systems.MiningSystem().process(S.manager) planets = S.manager.get_entities('mineral_concentrations') self.assertEqual(len(planets), 1) self.assertEqual(planets[1].ironium or 0, 10) self.assertEqual(planets[1].germanium or 0, 10) self.assertEqual(planets[1].boranium or 0, 10) class PopulationGrowthTestCase(unittest.TestCase): def test_habitability_growth(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) results = S.generate() self.assertEqual(len(results['entities']), 2) self.assertEqual(results['entities'][1]['owner_id'], 0) self.assertEqual(results['entities'][1]['population'], 1150) def test_crowding_growth(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 500_000, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) results = S.generate() self.assertEqual(len(results['entities']), 2) self.assertEqual(results['entities'][1]['owner_id'], 0) # At a population of 50% of capacity, the crowding factor # should be 4/9. Effective growth rate should then be 6.67%. self.assertEqual(results['entities'][1]['population'], 533_333) def test_capacity_growth(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': False, 'temperature_immune': False, 'radiation_immune': False, 'gravity_min': 32, 'gravity_max': 86, 'temperature_min': 10, 'temperature_max': 64, 'radiation_min': 38, 'radiation_max': 90, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 1_000_000, 'x': 480, 'y': 235, 'gravity': 59, 'temperature': 37, 'radiation': 64, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) results = S.generate() self.assertEqual(len(results['entities']), 2) self.assertEqual(results['entities'][1]['owner_id'], 0) self.assertEqual(results['entities'][1]['population'], 1_000_000) def test_overcrowding_growth(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': False, 'temperature_immune': False, 'radiation_immune': False, 'gravity_min': 32, 'gravity_max': 86, 'temperature_min': 10, 'temperature_max': 64, 'radiation_min': 38, 'radiation_max': 90, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 2_000_000, 'x': 480, 'y': 235, 'gravity': 59, 'temperature': 37, 'radiation': 64, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) results = S.generate() self.assertEqual(len(results['entities']), 2) self.assertEqual(results['entities'][1]['owner_id'], 0) # At a population of 200% of capacity, the death rate should be 100 * 0.04% = 4.0%. self.assertEqual(results['entities'][1]['population'], 1_920_000) def test_uninhabitable_growth(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': False, 'temperature_immune': False, 'radiation_immune': False, 'gravity_min': 32, 'gravity_max': 86, 'temperature_min': 10, 'temperature_max': 64, 'radiation_min': 38, 'radiation_max': 90, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 100_000, 'x': 480, 'y': 235, 'gravity': 1, 'temperature': 84, 'radiation': 3, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) results = S.generate() self.assertEqual(len(results['entities']), 2) self.assertEqual(results['entities'][1]['owner_id'], 0) # This planet should be at -45% habitable, so we should lose 4.5%. self.assertEqual(results['entities'][1]['population'], 95_500) def test_lose_ownership(self): state = { 'turn': 2500, 'width': 1000, 'entities': [ { 'pk': 0, 'type': 'species', 'name': 'Human', 'plural_name': 'Humans', 'growth_rate': 15, 'gravity_immune': True, 'temperature_immune': True, 'radiation_immune': True, 'population_per_r': 1000, 'factories_produce_r': 10, 'factories_cost_r': 10, 'factories_per_pop': 10, 'factories_cost_less': False, 'minerals_per_m': 10, 'mines_cost_r': 5, 'mines_per_pop': 10, }, { 'pk': 1, 'type': 'planet', 'population': 0, 'x': 480, 'y': 235, 'gravity': 50, 'temperature': 50, 'radiation': 50, 'ironium_conc': 50, 'boranium_conc': 50, 'germanium_conc': 50, 'owner_id': 0, }, ] } S = engine.GameState(state, {}) results = S.generate() self.assertEqual(len(results['entities']), 2) self.assertNotIn('population', results['entities'][1]) self.assertNotIn('owner_id', results['entities'][1])

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01326a75e13cb645516eee9df670c6535d0e309d

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py

Python

src/bee_psd/exector.py

awenhaowenchao/bee-psd

945875b47beb877daf2383979deb388f5d686c9f

[ "MIT" ]

4

2019-11-12T05:01:42.000Z

2022-02-23T01:52:11.000Z

src/bee_psd/exector.py

awenhaowenchao/bee-psd

945875b47beb877daf2383979deb388f5d686c9f

[ "MIT" ]

6

2021-03-19T08:13:39.000Z

2022-03-02T15:00:19.000Z

src/bee_psd/exector.py

awenhaowenchao/bee-psd

945875b47beb877daf2383979deb388f5d686c9f

[ "MIT" ]

null

class IExecutor(): def exec(self, query, args=[]): pass def find_one(self, query, args=[]): pass def find_list(self, query, args=[]): pass

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018e039ae96410a014b4e4ac5ea6b38b97fdfb32

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py

Python

energyuse/apps/eusers/templatetags/decarbonet_user_extras.py

evhart/energyuse

be76bac535bfea33d30867e232c2dcb35e1c7740

[ "MIT" ]

null

energyuse/apps/eusers/templatetags/decarbonet_user_extras.py

evhart/energyuse

be76bac535bfea33d30867e232c2dcb35e1c7740

[ "MIT" ]

14

2019-12-26T17:01:14.000Z

2022-03-21T22:16:52.000Z

energyuse/apps/eusers/templatetags/decarbonet_user_extras.py

evhart/energyuse

be76bac535bfea33d30867e232c2dcb35e1c7740

[ "MIT" ]

null

from django import template from energyuse.apps.eusers.models import EnergyConsumption register = template.Library() @register.assignment_tag def average_consumption(email,concept='all'): return EnergyConsumption.average_consumption(email, concept)

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6d7475c34df128adc75dfc9b4a0dd800eb21cf77

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Python

DSToolkit/searching/__init__.py

AndreaFerrante/DSToolkit

6f527cb4c19127cecd74bb682330236aa4e41839

[ "MIT" ]

null

DSToolkit/searching/__init__.py

AndreaFerrante/DSToolkit

6f527cb4c19127cecd74bb682330236aa4e41839

[ "MIT" ]

null

DSToolkit/searching/__init__.py

AndreaFerrante/DSToolkit

6f527cb4c19127cecd74bb682330236aa4e41839

[ "MIT" ]

null

from .binary_search import * from .linear_search import * from .jump_search import * from .interpolation_search import *

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7

6d9bba99d7fc42db759459e5882a59894332b98e

45

py

Python

tests/test_files/tuple.py

Procrat/typy

668cedb7f929256a09f565af9ee43c02889bec3f

[ "MIT" ]

3

2016-03-08T09:55:20.000Z

2016-09-09T12:54:12.000Z

tests/test_files/tuple.py

Procrat/typy

668cedb7f929256a09f565af9ee43c02889bec3f

[ "MIT" ]

null

tests/test_files/tuple.py

Procrat/typy

668cedb7f929256a09f565af9ee43c02889bec3f

[ "MIT" ]

null

x = (5, 6) def f(): return (7, 8) f()

5.625

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7

6db505101c11af2b04fb26ef5b5a53648a221fe0

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py

Python

__init__.py

kalliope-project/kalliope_neuron_rss_reader

1437e61ebd6f4d4d6926f15daef5fe036e4a5fdf

[ "MIT" ]

null

__init__.py

kalliope-project/kalliope_neuron_rss_reader

1437e61ebd6f4d4d6926f15daef5fe036e4a5fdf

[ "MIT" ]

6

2017-07-25T21:12:25.000Z

2020-05-06T12:01:59.000Z

__init__.py

kalliope-project/kalliope_neuron_rss_reader

1437e61ebd6f4d4d6926f15daef5fe036e4a5fdf

[ "MIT" ]

5

2017-08-10T00:22:22.000Z

2021-09-05T16:08:16.000Z

from rss_reader import Rss_reader

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7

09c34dd1625f3d016f8a41a7ed770933513ee1b6

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py

Python

eval_covid19china_timm-regnetx_002_RandomSnow.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

eval_covid19china_timm-regnetx_002_RandomSnow.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

eval_covid19china_timm-regnetx_002_RandomSnow.py

BrunoKrinski/segtool

cb604b5f38104c43a76450136e37c3d1c4b6d275

[ "MIT" ]

null

import os ls=["python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_0_RandomSnow.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_1_RandomSnow.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_2_RandomSnow.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_3_RandomSnow.yml", "python main.py --configs configs/eval_covid19china_unetplusplus_timm-regnetx_002_4_RandomSnow.yml", ] for l in ls: os.system(l)

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Python

GM2AUTOSAR_MM/GM2AUTOSAR_MM_MM.py

levilucio/SyVOLT

7526ec794d21565e3efcc925a7b08ae8db27d46a

[ "MIT" ]

3

2017-06-02T19:26:27.000Z

2021-06-14T04:25:45.000Z

GM2AUTOSAR_MM/GM2AUTOSAR_MM_MM.py

levilucio/SyVOLT

7526ec794d21565e3efcc925a7b08ae8db27d46a

[ "MIT" ]

8

2016-08-24T07:04:07.000Z

2017-05-26T16:22:47.000Z

GM2AUTOSAR_MM/GM2AUTOSAR_MM_MM.py

levilucio/SyVOLT

7526ec794d21565e3efcc925a7b08ae8db27d46a

[ "MIT" ]

1

2019-10-31T06:00:23.000Z

""" __GM2AUTOSAR_MM_MM.py______________________________________________________ Automatically generated AToM3 MetaModel (DO NOT MODIFY DIRECTLY) Author: levi Modified: Sun Aug 9 23:43:00 2015 ___________________________________________________________________________ """ from ASG_GM2AUTOSAR_MM import * from graph_ASG_ERmetaMetaModel import * from Tkinter import * from ATOM3TypeInfo import * from ATOM3String import * from StatusBar import * from ATOM3TypeDialog import * from MatchModel import * from ApplyModel import * from MetaModelElement_S import * from MetaModelElement_T import * from ECU import * from VirtualDevice import * from Distributable import * from ExecFrame import * from Signal import * from System import * from SystemMapping import * from SoftwareComposition import * from CompositionType import * from ComponentPrototype import * from PPortPrototype import * from RPortPrototype import * from EcuInstance import * from SwcToEcuMapping import * from SwCompToEcuMapping_component import * from PortPrototype import * from ComponentType import * from paired_with import * from match_contains import * from directLink_S import * from directLink_T import * from apply_contains import * from indirectLink_S import * from backward_link import * from trace_link import * def createNewASGroot(self): return ASG_GM2AUTOSAR_MM(self, None) def createModelMenu(self, modelMenu): "Creates a customized Model Menu for the actual formalism" modelMenu.add_command(label="New MatchModel", command=lambda x=self: x.createNewMatchModel(x, 100, 100) ) modelMenu.add_command(label="New ApplyModel", command=lambda x=self: x.createNewApplyModel(x, 100, 100) ) modelMenu.add_command(label="New MetaModelElement_S", command=lambda x=self: x.createNewMetaModelElement_S(x, 100, 100) ) modelMenu.add_command(label="New MetaModelElement_T", command=lambda x=self: x.createNewMetaModelElement_T(x, 100, 100) ) modelMenu.add_command(label="New ECU", command=lambda x=self: x.createNewECU(x, 100, 100) ) modelMenu.add_command(label="New VirtualDevice", command=lambda x=self: x.createNewVirtualDevice(x, 100, 100) ) modelMenu.add_command(label="New Distributable", command=lambda x=self: x.createNewDistributable(x, 100, 100) ) modelMenu.add_command(label="New ExecFrame", command=lambda x=self: x.createNewExecFrame(x, 100, 100) ) modelMenu.add_command(label="New Signal", command=lambda x=self: x.createNewSignal(x, 100, 100) ) modelMenu.add_command(label="New System", command=lambda x=self: x.createNewSystem(x, 100, 100) ) modelMenu.add_command(label="New SystemMapping", command=lambda x=self: x.createNewSystemMapping(x, 100, 100) ) modelMenu.add_command(label="New SoftwareComposition", command=lambda x=self: x.createNewSoftwareComposition(x, 100, 100) ) modelMenu.add_command(label="New CompositionType", command=lambda x=self: x.createNewCompositionType(x, 100, 100) ) modelMenu.add_command(label="New ComponentPrototype", command=lambda x=self: x.createNewComponentPrototype(x, 100, 100) ) modelMenu.add_command(label="New PPortPrototype", command=lambda x=self: x.createNewPPortPrototype(x, 100, 100) ) modelMenu.add_command(label="New RPortPrototype", command=lambda x=self: x.createNewRPortPrototype(x, 100, 100) ) modelMenu.add_command(label="New EcuInstance", command=lambda x=self: x.createNewEcuInstance(x, 100, 100) ) modelMenu.add_command(label="New SwcToEcuMapping", command=lambda x=self: x.createNewSwcToEcuMapping(x, 100, 100) ) modelMenu.add_command(label="New SwCompToEcuMapping_component", command=lambda x=self: x.createNewSwCompToEcuMapping_component(x, 100, 100) ) modelMenu.add_command(label="New PortPrototype", command=lambda x=self: x.createNewPortPrototype(x, 100, 100) ) modelMenu.add_command(label="New ComponentType", command=lambda x=self: x.createNewComponentType(x, 100, 100) ) modelMenu.add_command(label="New paired_with", command=lambda x=self: x.createNewpaired_with(x, 100, 100) ) modelMenu.add_command(label="New match_contains", command=lambda x=self: x.createNewmatch_contains(x, 100, 100) ) modelMenu.add_command(label="New directLink_S", command=lambda x=self: x.createNewdirectLink_S(x, 100, 100) ) modelMenu.add_command(label="New directLink_T", command=lambda x=self: x.createNewdirectLink_T(x, 100, 100) ) modelMenu.add_command(label="New apply_contains", command=lambda x=self: x.createNewapply_contains(x, 100, 100) ) modelMenu.add_command(label="New indirectLink_S", command=lambda x=self: x.createNewindirectLink_S(x, 100, 100) ) modelMenu.add_command(label="New backward_link", command=lambda x=self: x.createNewbackward_link(x, 100, 100) ) modelMenu.add_command(label="New trace_link", command=lambda x=self: x.createNewtrace_link(x, 100, 100) ) def setConnectivity(self): self.ConnectivityMap['directLink_S']={ 'directLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['apply_contains']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [( 'MetaModelElement_T', self.createNewMetaModelElement_T), ( 'System', self.createNewSystem), ( 'SystemMapping', self.createNewSystemMapping), ( 'SoftwareComposition', self.createNewSoftwareComposition), ( 'CompositionType', self.createNewCompositionType), ( 'ComponentPrototype', self.createNewComponentPrototype), ( 'PPortPrototype', self.createNewPPortPrototype), ( 'RPortPrototype', self.createNewRPortPrototype), ( 'EcuInstance', self.createNewEcuInstance), ( 'SwcToEcuMapping', self.createNewSwcToEcuMapping), ( 'SwCompToEcuMapping_component', self.createNewSwCompToEcuMapping_component), ( 'PortPrototype', self.createNewPortPrototype), ( 'ComponentType', self.createNewComponentType)] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [( 'MetaModelElement_T', self.createNewMetaModelElement_T), ( 'System', self.createNewSystem), ( 'SystemMapping', self.createNewSystemMapping), ( 'SoftwareComposition', self.createNewSoftwareComposition), ( 'CompositionType', self.createNewCompositionType), ( 'ComponentPrototype', self.createNewComponentPrototype), ( 'PPortPrototype', self.createNewPPortPrototype), ( 'RPortPrototype', self.createNewRPortPrototype), ( 'EcuInstance', self.createNewEcuInstance), ( 'SwcToEcuMapping', self.createNewSwcToEcuMapping), ( 'SwCompToEcuMapping_component', self.createNewSwCompToEcuMapping_component), ( 'PortPrototype', self.createNewPortPrototype), ( 'ComponentType', self.createNewComponentType)] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [( 'MetaModelElement_T', self.createNewMetaModelElement_T), ( 'System', self.createNewSystem), ( 'SystemMapping', self.createNewSystemMapping), ( 'SoftwareComposition', self.createNewSoftwareComposition), ( 'CompositionType', self.createNewCompositionType), ( 'ComponentPrototype', self.createNewComponentPrototype), ( 'PPortPrototype', self.createNewPPortPrototype), ( 'RPortPrototype', self.createNewRPortPrototype), ( 'EcuInstance', self.createNewEcuInstance), ( 'SwcToEcuMapping', self.createNewSwcToEcuMapping), ( 'SwCompToEcuMapping_component', self.createNewSwCompToEcuMapping_component), ( 'PortPrototype', self.createNewPortPrototype), ( 'ComponentType', self.createNewComponentType)] ,'RPortPrototype': [] } self.ConnectivityMap['SystemMapping']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['Distributable']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'MetaModelElement_S': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ExecFrame': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'PortPrototype': [] ,'Signal': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['System']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['ComponentType']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['paired_with']={ 'directLink_S': [] ,'apply_contains': [( 'ApplyModel', self.createNewApplyModel)] ,'directLink_T': [] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['PPortPrototype']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['backward_link']={ 'directLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['ComponentPrototype']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['directLink_T']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [( 'MetaModelElement_T', self.createNewMetaModelElement_T), ( 'System', self.createNewSystem), ( 'SystemMapping', self.createNewSystemMapping), ( 'SoftwareComposition', self.createNewSoftwareComposition), ( 'CompositionType', self.createNewCompositionType), ( 'ComponentPrototype', self.createNewComponentPrototype), ( 'PPortPrototype', self.createNewPPortPrototype), ( 'RPortPrototype', self.createNewRPortPrototype), ( 'EcuInstance', self.createNewEcuInstance), ( 'SwcToEcuMapping', self.createNewSwcToEcuMapping), ( 'SwCompToEcuMapping_component', self.createNewSwCompToEcuMapping_component), ( 'PortPrototype', self.createNewPortPrototype), ( 'ComponentType', self.createNewComponentType)] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [( 'MetaModelElement_T', self.createNewMetaModelElement_T), ( 'System', self.createNewSystem), ( 'SystemMapping', self.createNewSystemMapping), ( 'SoftwareComposition', self.createNewSoftwareComposition), ( 'CompositionType', self.createNewCompositionType), ( 'ComponentPrototype', self.createNewComponentPrototype), ( 'PPortPrototype', self.createNewPPortPrototype), ( 'RPortPrototype', self.createNewRPortPrototype), ( 'EcuInstance', self.createNewEcuInstance), ( 'SwcToEcuMapping', self.createNewSwcToEcuMapping), ( 'SwCompToEcuMapping_component', self.createNewSwCompToEcuMapping_component), ( 'PortPrototype', self.createNewPortPrototype), ( 'ComponentType', self.createNewComponentType)] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [( 'MetaModelElement_T', self.createNewMetaModelElement_T), ( 'System', self.createNewSystem), ( 'SystemMapping', self.createNewSystemMapping), ( 'SoftwareComposition', self.createNewSoftwareComposition), ( 'CompositionType', self.createNewCompositionType), ( 'ComponentPrototype', self.createNewComponentPrototype), ( 'PPortPrototype', self.createNewPPortPrototype), ( 'RPortPrototype', self.createNewRPortPrototype), ( 'EcuInstance', self.createNewEcuInstance), ( 'SwcToEcuMapping', self.createNewSwcToEcuMapping), ( 'SwCompToEcuMapping_component', self.createNewSwCompToEcuMapping_component), ( 'PortPrototype', self.createNewPortPrototype), ( 'ComponentType', self.createNewComponentType)] ,'RPortPrototype': [] } self.ConnectivityMap['ApplyModel']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [] ,'System': [( 'apply_contains', self.createNewapply_contains)] ,'ComponentType': [( 'apply_contains', self.createNewapply_contains)] ,'paired_with': [] ,'PPortPrototype': [( 'apply_contains', self.createNewapply_contains)] ,'backward_link': [] ,'SystemMapping': [( 'apply_contains', self.createNewapply_contains)] ,'ApplyModel': [] ,'CompositionType': [( 'apply_contains', self.createNewapply_contains)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'apply_contains', self.createNewapply_contains)] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [( 'apply_contains', self.createNewapply_contains)] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [( 'apply_contains', self.createNewapply_contains)] ,'Signal': [] ,'ComponentPrototype': [( 'apply_contains', self.createNewapply_contains)] ,'SoftwareComposition': [( 'apply_contains', self.createNewapply_contains)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'apply_contains', self.createNewapply_contains)] ,'EcuInstance': [( 'apply_contains', self.createNewapply_contains)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'apply_contains', self.createNewapply_contains)] } self.ConnectivityMap['CompositionType']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['indirectLink_S']={ 'directLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['MetaModelElement_T']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['ECU']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'MetaModelElement_S': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ExecFrame': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'PortPrototype': [] ,'Signal': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['MetaModelElement_S']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'MetaModelElement_S': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ExecFrame': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'PortPrototype': [] ,'Signal': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['SwcToEcuMapping']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['VirtualDevice']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'MetaModelElement_S': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ExecFrame': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'PortPrototype': [] ,'Signal': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['ExecFrame']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'MetaModelElement_S': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ExecFrame': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'PortPrototype': [] ,'Signal': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['PortPrototype']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['Signal']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'MetaModelElement_S': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ExecFrame': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'PortPrototype': [] ,'Signal': [( 'directLink_S', self.createNewdirectLink_S), ( 'indirectLink_S', self.createNewindirectLink_S)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['match_contains']={ 'directLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['SoftwareComposition']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['MatchModel']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'match_contains', self.createNewmatch_contains)] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [( 'paired_with', self.createNewpaired_with)] ,'CompositionType': [] ,'indirectLink_S': [] ,'MetaModelElement_T': [] ,'ECU': [( 'match_contains', self.createNewmatch_contains)] ,'MetaModelElement_S': [( 'match_contains', self.createNewmatch_contains)] ,'SwcToEcuMapping': [] ,'VirtualDevice': [( 'match_contains', self.createNewmatch_contains)] ,'ExecFrame': [( 'match_contains', self.createNewmatch_contains)] ,'PortPrototype': [] ,'Signal': [( 'match_contains', self.createNewmatch_contains)] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['SwCompToEcuMapping_component']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['EcuInstance']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.ConnectivityMap['trace_link']={ 'directLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [] ,'System': [] ,'ComponentType': [] ,'paired_with': [] ,'PPortPrototype': [] ,'backward_link': [] ,'SystemMapping': [] ,'ApplyModel': [] ,'CompositionType': [] ,'indirectLink_S': [( 'MetaModelElement_S', self.createNewMetaModelElement_S), ( 'ECU', self.createNewECU), ( 'VirtualDevice', self.createNewVirtualDevice), ( 'Distributable', self.createNewDistributable), ( 'ExecFrame', self.createNewExecFrame), ( 'Signal', self.createNewSignal)] ,'MetaModelElement_T': [] ,'ECU': [] ,'MetaModelElement_S': [] ,'SwcToEcuMapping': [] ,'VirtualDevice': [] ,'ExecFrame': [] ,'PortPrototype': [] ,'Signal': [] ,'ComponentPrototype': [] ,'SoftwareComposition': [] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [] ,'EcuInstance': [] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [] } self.ConnectivityMap['RPortPrototype']={ 'directLink_S': [] ,'apply_contains': [] ,'directLink_T': [] ,'Distributable': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'System': [( 'directLink_T', self.createNewdirectLink_T)] ,'ComponentType': [( 'directLink_T', self.createNewdirectLink_T)] ,'paired_with': [] ,'PPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'backward_link': [] ,'SystemMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'ApplyModel': [] ,'CompositionType': [( 'directLink_T', self.createNewdirectLink_T)] ,'indirectLink_S': [] ,'MetaModelElement_T': [( 'directLink_T', self.createNewdirectLink_T)] ,'ECU': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'MetaModelElement_S': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'SwcToEcuMapping': [( 'directLink_T', self.createNewdirectLink_T)] ,'VirtualDevice': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ExecFrame': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'PortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'Signal': [( 'backward_link', self.createNewbackward_link), ( 'trace_link', self.createNewtrace_link)] ,'ComponentPrototype': [( 'directLink_T', self.createNewdirectLink_T)] ,'SoftwareComposition': [( 'directLink_T', self.createNewdirectLink_T)] ,'MatchModel': [] ,'SwCompToEcuMapping_component': [( 'directLink_T', self.createNewdirectLink_T)] ,'EcuInstance': [( 'directLink_T', self.createNewdirectLink_T)] ,'match_contains': [] ,'trace_link': [] ,'RPortPrototype': [( 'directLink_T', self.createNewdirectLink_T)] } self.CardinalityTable['MatchModel']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [('1', '1', 'Source')] ,'match_contains': [('0', 'N', 'Source')] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['ApplyModel']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [('1', '1', 'Destination')] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [('0', 'N', 'Source')] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['MetaModelElement_S']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [('0', 'N', 'Destination')] ,'directLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'backward_link': [('0', 'N', 'Destination')] ,'trace_link': [('0', 'N', 'Destination')] } self.CardinalityTable['MetaModelElement_T']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['ECU']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [('0', 'N', 'Destination')] ,'directLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'backward_link': [('0', 'N', 'Destination')] ,'trace_link': [('0', 'N', 'Destination')] } self.CardinalityTable['VirtualDevice']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [('0', 'N', 'Destination')] ,'directLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'backward_link': [('0', 'N', 'Destination')] ,'trace_link': [('0', 'N', 'Destination')] } self.CardinalityTable['Distributable']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [('0', 'N', 'Destination')] ,'directLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'backward_link': [('0', 'N', 'Destination')] ,'trace_link': [('0', 'N', 'Destination')] } self.CardinalityTable['ExecFrame']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [('0', 'N', 'Destination')] ,'directLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'backward_link': [('0', 'N', 'Destination')] ,'trace_link': [('0', 'N', 'Destination')] } self.CardinalityTable['Signal']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [('0', 'N', 'Destination')] ,'directLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'backward_link': [('0', 'N', 'Destination')] ,'trace_link': [('0', 'N', 'Destination')] } self.CardinalityTable['System']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['SystemMapping']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['SoftwareComposition']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['CompositionType']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['ComponentPrototype']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['PPortPrototype']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['RPortPrototype']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['EcuInstance']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['SwcToEcuMapping']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['SwCompToEcuMapping_component']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['PortPrototype']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['ComponentType']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'apply_contains': [('0', 'N', 'Destination')] ,'indirectLink_S': [] ,'backward_link': [('0', 'N', 'Source')] ,'trace_link': [('0', 'N', 'Source')] } self.CardinalityTable['paired_with']={ 'MatchModel': [('1', '1', 'Destination')] ,'ApplyModel': [('1', '1', 'Source')] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['match_contains']={ 'MatchModel': [('0', 'N', 'Destination')] ,'ApplyModel': [] ,'MetaModelElement_S': [('0', 'N', 'Source')] ,'MetaModelElement_T': [] ,'ECU': [('0', 'N', 'Source')] ,'VirtualDevice': [('0', 'N', 'Source')] ,'Distributable': [('0', 'N', 'Source')] ,'ExecFrame': [('0', 'N', 'Source')] ,'Signal': [('0', 'N', 'Source')] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['directLink_S']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'MetaModelElement_T': [] ,'ECU': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'VirtualDevice': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'Distributable': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'ExecFrame': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'Signal': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['directLink_T']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'SystemMapping': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'SoftwareComposition': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'CompositionType': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'ComponentPrototype': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'PPortPrototype': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'RPortPrototype': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'EcuInstance': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'SwcToEcuMapping': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'SwCompToEcuMapping_component': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'PortPrototype': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'ComponentType': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['apply_contains']={ 'MatchModel': [] ,'ApplyModel': [('0', 'N', 'Destination')] ,'MetaModelElement_S': [] ,'MetaModelElement_T': [('0', 'N', 'Source')] ,'ECU': [] ,'VirtualDevice': [] ,'Distributable': [] ,'ExecFrame': [] ,'Signal': [] ,'System': [('0', 'N', 'Source')] ,'SystemMapping': [('0', 'N', 'Source')] ,'SoftwareComposition': [('0', 'N', 'Source')] ,'CompositionType': [('0', 'N', 'Source')] ,'ComponentPrototype': [('0', 'N', 'Source')] ,'PPortPrototype': [('0', 'N', 'Source')] ,'RPortPrototype': [('0', 'N', 'Source')] ,'EcuInstance': [('0', 'N', 'Source')] ,'SwcToEcuMapping': [('0', 'N', 'Source')] ,'SwCompToEcuMapping_component': [('0', 'N', 'Source')] ,'PortPrototype': [('0', 'N', 'Source')] ,'ComponentType': [('0', 'N', 'Source')] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['indirectLink_S']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'MetaModelElement_T': [] ,'ECU': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'VirtualDevice': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'Distributable': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'ExecFrame': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'Signal': [('0', 'N', 'Source'), ('0', 'N', 'Destination')] ,'System': [] ,'SystemMapping': [] ,'SoftwareComposition': [] ,'CompositionType': [] ,'ComponentPrototype': [] ,'PPortPrototype': [] ,'RPortPrototype': [] ,'EcuInstance': [] ,'SwcToEcuMapping': [] ,'SwCompToEcuMapping_component': [] ,'PortPrototype': [] ,'ComponentType': [] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['backward_link']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [('0', 'N', 'Source')] ,'MetaModelElement_T': [('0', 'N', 'Destination')] ,'ECU': [('0', 'N', 'Source')] ,'VirtualDevice': [('0', 'N', 'Source')] ,'Distributable': [('0', 'N', 'Source')] ,'ExecFrame': [('0', 'N', 'Source')] ,'Signal': [('0', 'N', 'Source')] ,'System': [('0', 'N', 'Destination')] ,'SystemMapping': [('0', 'N', 'Destination')] ,'SoftwareComposition': [('0', 'N', 'Destination')] ,'CompositionType': [('0', 'N', 'Destination')] ,'ComponentPrototype': [('0', 'N', 'Destination')] ,'PPortPrototype': [('0', 'N', 'Destination')] ,'RPortPrototype': [('0', 'N', 'Destination')] ,'EcuInstance': [('0', 'N', 'Destination')] ,'SwcToEcuMapping': [('0', 'N', 'Destination')] ,'SwCompToEcuMapping_component': [('0', 'N', 'Destination')] ,'PortPrototype': [('0', 'N', 'Destination')] ,'ComponentType': [('0', 'N', 'Destination')] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.CardinalityTable['trace_link']={ 'MatchModel': [] ,'ApplyModel': [] ,'MetaModelElement_S': [('0', 'N', 'Source')] ,'MetaModelElement_T': [('0', 'N', 'Destination')] ,'ECU': [('0', 'N', 'Source')] ,'VirtualDevice': [('0', 'N', 'Source')] ,'Distributable': [('0', 'N', 'Source')] ,'ExecFrame': [('0', 'N', 'Source')] ,'Signal': [('0', 'N', 'Source')] ,'System': [('0', 'N', 'Destination')] ,'SystemMapping': [('0', 'N', 'Destination')] ,'SoftwareComposition': [('0', 'N', 'Destination')] ,'CompositionType': [('0', 'N', 'Destination')] ,'ComponentPrototype': [('0', 'N', 'Destination')] ,'PPortPrototype': [('0', 'N', 'Destination')] ,'RPortPrototype': [('0', 'N', 'Destination')] ,'EcuInstance': [('0', 'N', 'Destination')] ,'SwcToEcuMapping': [('0', 'N', 'Destination')] ,'SwCompToEcuMapping_component': [('0', 'N', 'Destination')] ,'PortPrototype': [('0', 'N', 'Destination')] ,'ComponentType': [('0', 'N', 'Destination')] ,'paired_with': [] ,'match_contains': [] ,'directLink_S': [] ,'directLink_T': [] ,'apply_contains': [] ,'indirectLink_S': [] ,'backward_link': [] ,'trace_link': [] } self.entitiesInMetaModel['GM2AUTOSAR_MM']=["MatchModel", "ApplyModel", "MetaModelElement_S", "MetaModelElement_T", "ECU", "VirtualDevice", "Distributable", "ExecFrame", "Signal", "System", "SystemMapping", "SoftwareComposition", "CompositionType", "ComponentPrototype", "PPortPrototype", "RPortPrototype", "EcuInstance", "SwcToEcuMapping", "SwCompToEcuMapping_component", "PortPrototype", "ComponentType", "paired_with", "match_contains", "directLink_S", "directLink_T", "apply_contains", "indirectLink_S", "backward_link", "trace_link"] def createNewMatchModel(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = MatchModel(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["MatchModel"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_MatchModel(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_MatchModel(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("MatchModel", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewApplyModel(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = ApplyModel(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["ApplyModel"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_ApplyModel(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_ApplyModel(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("ApplyModel", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewMetaModelElement_S(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = MetaModelElement_S(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["MetaModelElement_S"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_MetaModelElement_S(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_MetaModelElement_S(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("MetaModelElement_S", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewMetaModelElement_T(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = MetaModelElement_T(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["MetaModelElement_T"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_MetaModelElement_T(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_MetaModelElement_T(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("MetaModelElement_T", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewECU(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = ECU(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["ECU"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_ECU(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_ECU(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("ECU", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewVirtualDevice(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = VirtualDevice(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["VirtualDevice"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_VirtualDevice(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_VirtualDevice(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("VirtualDevice", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewDistributable(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = Distributable(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["Distributable"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_Distributable(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_Distributable(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("Distributable", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewExecFrame(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = ExecFrame(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["ExecFrame"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_ExecFrame(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_ExecFrame(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("ExecFrame", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewSignal(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = Signal(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["Signal"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_Signal(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_Signal(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("Signal", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewSystem(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = System(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["System"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_System(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_System(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("System", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewSystemMapping(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = SystemMapping(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["SystemMapping"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_SystemMapping(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_SystemMapping(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("SystemMapping", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewSoftwareComposition(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = SoftwareComposition(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["SoftwareComposition"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_SoftwareComposition(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_SoftwareComposition(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("SoftwareComposition", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewCompositionType(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = CompositionType(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["CompositionType"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_CompositionType(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_CompositionType(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("CompositionType", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewComponentPrototype(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = ComponentPrototype(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["ComponentPrototype"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_ComponentPrototype(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_ComponentPrototype(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("ComponentPrototype", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewPPortPrototype(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = PPortPrototype(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["PPortPrototype"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_PPortPrototype(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_PPortPrototype(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("PPortPrototype", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewRPortPrototype(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = RPortPrototype(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["RPortPrototype"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_RPortPrototype(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_RPortPrototype(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("RPortPrototype", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewEcuInstance(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = EcuInstance(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["EcuInstance"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_EcuInstance(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_EcuInstance(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("EcuInstance", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewSwcToEcuMapping(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = SwcToEcuMapping(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["SwcToEcuMapping"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_SwcToEcuMapping(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_SwcToEcuMapping(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("SwcToEcuMapping", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewSwCompToEcuMapping_component(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = SwCompToEcuMapping_component(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["SwCompToEcuMapping_component"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_SwCompToEcuMapping_component(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_SwCompToEcuMapping_component(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("SwCompToEcuMapping_component", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewPortPrototype(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = PortPrototype(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["PortPrototype"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_PortPrototype(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_PortPrototype(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("PortPrototype", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewComponentType(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = ComponentType(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["ComponentType"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_ComponentType(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_ComponentType(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("ComponentType", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewpaired_with(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = paired_with(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["paired_with"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_paired_with(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_paired_with(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("paired_with", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewmatch_contains(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = match_contains(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["match_contains"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_match_contains(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_match_contains(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("match_contains", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewdirectLink_S(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = directLink_S(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["directLink_S"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_directLink_S(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_directLink_S(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("directLink_S", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewdirectLink_T(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = directLink_T(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["directLink_T"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_directLink_T(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_directLink_T(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("directLink_T", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewapply_contains(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = apply_contains(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["apply_contains"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_apply_contains(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_apply_contains(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("apply_contains", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewindirectLink_S(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = indirectLink_S(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["indirectLink_S"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_indirectLink_S(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_indirectLink_S(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("indirectLink_S", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewbackward_link(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = backward_link(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["backward_link"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_backward_link(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_backward_link(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("backward_link", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNewtrace_link(self, wherex, wherey, screenCoordinates = 1): self.fromClass = None self.toClass = None # try the global constraints... res = self.ASGroot.preCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj = trace_link(self) res = new_semantic_obj.preCondition ( ASGNode.CREATE ) if res: return self.constraintViolation(res) new_semantic_obj.preAction ( ASGNode.CREATE ) ne = len(self.ASGroot.listNodes["trace_link"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_trace_link(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_trace_link(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("trace_link", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) res = self.ASGroot.postCondition(ASG.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return res = new_semantic_obj.postCondition(ASGNode.CREATE) if res: self.constraintViolation(res) self.mode=self.IDLEMODE return new_semantic_obj.postAction(ASGNode.CREATE) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def createNew_Model(self, wherex, wherey, screenCoordinates = 1): self.toClass = None self.fromClass = None new_semantic_obj = ASG_GM2AUTOSAR_MM(self) ne = len(self.ASGroot.listNodes["ASG_GM2AUTOSAR_MM"]) if new_semantic_obj.keyword_: new_semantic_obj.keyword_.setValue(new_semantic_obj.keyword_.toString()+str(ne)) if screenCoordinates: new_obj = graph_ASG_ERmetaMetaModel(self.UMLmodel.canvasx(wherex), self.UMLmodel.canvasy(wherey), new_semantic_obj) else: # already in canvas coordinates new_obj = graph_ASG_ERmetaMetaModel(wherex, wherey, new_semantic_obj) new_obj.DrawObject(self.UMLmodel, self.editGGLabel) self.UMLmodel.addtag_withtag("ASG_GM2AUTOSAR_MM", new_obj.tag) new_semantic_obj.graphObject_ = new_obj self.ASGroot.addNode(new_semantic_obj) self.mode=self.IDLEMODE if self.editGGLabel : self.statusbar.event(StatusBar.TRANSFORMATION, StatusBar.CREATE) else: self.statusbar.event(StatusBar.MODEL, StatusBar.CREATE) return new_semantic_obj def fillTypesInformation(self): objs = [] obj = ATOM3TypeInfo(self) params = [] obj.setValue(("String", "ATOM3String", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] param = ATOM3String("None") params.append(param) param = ATOM3String("None") params.append(param) param = ATOM3String("1") params.append(param) obj.setValue(("Boolean", "ATOM3Boolean", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Integer", "ATOM3Integer", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Float", "ATOM3Float", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] param = ATOM3String("self.types") params.append(param) obj.setValue(("Attribute", "ATOM3Attribute", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] param = ATOM3String("[1,1,1,self.types]") params.append(param) param = ATOM3String("ATOM3Attribute") params.append(param) param = ATOM3String("self.types") params.append(param) obj.setValue(("List", "ATOM3List", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] param = ATOM3String("[]") params.append(param) param = ATOM3String("1") params.append(param) param = ATOM3String("1") params.append(param) obj.setValue(("Enum", "ATOM3Enum", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Constraint", "ATOM3Constraint", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Action", "ATOM3Action", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] param = ATOM3String("'class0'") params.append(param) param = ATOM3String("None") params.append(param) obj.setValue(("Appearance", "ATOM3Appearance", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("BottomType", "ATOM3BottomType", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Link", "ATOM3Link", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Port", "ATOM3Port", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Connection", "ATOM3Connection", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] param = ATOM3String("None") params.append(param) param = ATOM3String("None") params.append(param) param = ATOM3String("1") params.append(param) obj.setValue(("MSEnum", "ATOM3MSEnum", params, (None, 0) )) objs.append(obj) obj = ATOM3TypeInfo(self) params = [] obj.setValue(("Text", "ATOM3Text", params, (None, 0) )) objs.append(obj) self.typeList.setValue(objs)

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144,154

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null

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1

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null

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8

fed6aab404f176c01045ce8b086097e38c2bb092

728

py

Python

calculate_anything/calculation/__init__.py

friday/ulauncher-albert-calculate-anything

65e34ded08a4d88a66ec9fcd29bec41e57b32967

[ "MIT" ]

null

calculate_anything/calculation/__init__.py

friday/ulauncher-albert-calculate-anything

65e34ded08a4d88a66ec9fcd29bec41e57b32967

[ "MIT" ]

null

calculate_anything/calculation/__init__.py

friday/ulauncher-albert-calculate-anything

65e34ded08a4d88a66ec9fcd29bec41e57b32967

[ "MIT" ]

null

from calculate_anything.calculation.calculation import Calculation, BooleanCalculation from calculate_anything.calculation.currency import CurrencyCalculation from calculate_anything.calculation.time import TimeCalculation, LocationTimeCalculation, TimedeltaCalculation from calculate_anything.calculation.percentage import PercentageCalculation, NormalPercentageCalculation, InversePercentageCalculation from calculate_anything.calculation.base_n import ( BaseNCalculation, Base16StringCalculation, Base10Calculation, Base2Calculation, Base8Calculation, Base16Calculation, ColorBase16Calculation ) from calculate_anything.calculation.units import UnitsCalculation, CurrencyUnitsCalculation, TemperatureUnitsCalculation

72.8

134

0.898352

56

728

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0.517857

0.120556

0.194745

0.296754

0

0.014684

0.06456

728

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0.935389

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true

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null

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0

1

0

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fefffa50e146f4e2ffe2d459462dcc854252978f

100

py

Python

swarm_tasks/envs/__init__.py

rmvanarse/swarm_tasks

3335297ba8fcdbff756ae519002bcce919d54a84

[ "MIT" ]

6

2021-03-13T12:54:18.000Z

2022-01-29T12:12:28.000Z

swarm_tasks/envs/__init__.py

rmvanarse/swarm_tasks

3335297ba8fcdbff756ae519002bcce919d54a84

[ "MIT" ]

null

swarm_tasks/envs/__init__.py

rmvanarse/swarm_tasks

3335297ba8fcdbff756ae519002bcce919d54a84

[ "MIT" ]

2

2021-08-06T15:02:15.000Z

2022-02-08T12:11:30.000Z

import shapely import swarm_tasks.envs.world import swarm_tasks.envs.items import swarm_tasks.utils

20

29

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100

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0.571429

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null

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1

0

1

0

1

0

8

28ab36634a7614fc0c7220e8ed2e264d51db0162

50,130

py

Python

src/larksuiteoapi/service/contact/v3/api.py

VXenomac/oapi-sdk-python

156b789b3d20653802f64842c9a26229dd9252d7

[ "Apache-2.0" ]

50

2021-04-11T05:24:10.000Z

2022-03-29T10:14:13.000Z

src/larksuiteoapi/service/contact/v3/api.py

larksuite/oapi-sdk-python

70fda5b1ccf765938bf207dff0117c0c03a93605

[ "Apache-2.0" ]

20

2021-04-07T15:17:44.000Z

2022-03-23T06:27:12.000Z

src/larksuiteoapi/service/contact/v3/api.py

VXenomac/oapi-sdk-python

156b789b3d20653802f64842c9a26229dd9252d7

[ "Apache-2.0" ]

8

2021-04-25T15:02:17.000Z

2022-03-13T15:00:59.000Z

# -*- coding: UTF-8 -*- # Code generated by lark suite oapi sdk gen from typing import * from ....api import Request as APIRequest, Response as APIResponse, set_timeout, set_tenant_key, set_user_access_token, set_path_params, \ set_query_params, set_response_stream, set_is_response_stream, FormData, FormDataFile from ....config import Config from ....consts import ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER, ACCESS_TOKEN_TYPE_APP from .model import * class Service(object): def __init__(self, conf): # type: (Config) -> None self.conf = conf self.users = UserService(self) self.departments = DepartmentService(self) self.scopes = ScopeService(self) self.employee_type_enums = EmployeeTypeEnumService(self) self.custom_attrs = CustomAttrService(self) self.groups = GroupService(self) self.group_members = GroupMemberService(self) class UserService(object): def __init__(self, service): # type: (Service) -> None self.service = service def delete(self, body, tenant_key=None, timeout=None): # type: (UserDeleteReqBody, str, int) -> UserDeleteReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return UserDeleteReqCall(self, body, request_opts=request_opts) def update(self, body, tenant_key=None, timeout=None): # type: (User, str, int) -> UserUpdateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return UserUpdateReqCall(self, body, request_opts=request_opts) def create(self, body, tenant_key=None, timeout=None): # type: (User, str, int) -> UserCreateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return UserCreateReqCall(self, body, request_opts=request_opts) def patch(self, body, tenant_key=None, user_access_token=None, timeout=None): # type: (User, str, str, int) -> UserPatchReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return UserPatchReqCall(self, body, request_opts=request_opts) def get(self, tenant_key=None, user_access_token=None, timeout=None): # type: (str, str, int) -> UserGetReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return UserGetReqCall(self, request_opts=request_opts) def list(self, tenant_key=None, user_access_token=None, timeout=None): # type: (str, str, int) -> UserListReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return UserListReqCall(self, request_opts=request_opts) class DepartmentService(object): def __init__(self, service): # type: (Service) -> None self.service = service def get(self, tenant_key=None, user_access_token=None, timeout=None): # type: (str, str, int) -> DepartmentGetReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return DepartmentGetReqCall(self, request_opts=request_opts) def list(self, tenant_key=None, user_access_token=None, timeout=None): # type: (str, str, int) -> DepartmentListReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return DepartmentListReqCall(self, request_opts=request_opts) def patch(self, body, tenant_key=None, timeout=None): # type: (Department, str, int) -> DepartmentPatchReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return DepartmentPatchReqCall(self, body, request_opts=request_opts) def create(self, body, tenant_key=None, timeout=None): # type: (Department, str, int) -> DepartmentCreateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return DepartmentCreateReqCall(self, body, request_opts=request_opts) def delete(self, tenant_key=None, timeout=None): # type: (str, int) -> DepartmentDeleteReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return DepartmentDeleteReqCall(self, request_opts=request_opts) def update(self, body, tenant_key=None, timeout=None): # type: (Department, str, int) -> DepartmentUpdateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return DepartmentUpdateReqCall(self, body, request_opts=request_opts) def parent(self, tenant_key=None, user_access_token=None, timeout=None): # type: (str, str, int) -> DepartmentParentReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return DepartmentParentReqCall(self, request_opts=request_opts) def search(self, body, user_access_token=None, timeout=None): # type: (DepartmentSearchReqBody, str, int) -> DepartmentSearchReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if user_access_token is not None: request_opts += [set_user_access_token(user_access_token)] return DepartmentSearchReqCall(self, body, request_opts=request_opts) class ScopeService(object): def __init__(self, service): # type: (Service) -> None self.service = service class EmployeeTypeEnumService(object): def __init__(self, service): # type: (Service) -> None self.service = service def list(self, tenant_key=None, timeout=None): # type: (str, int) -> EmployeeTypeEnumListReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return EmployeeTypeEnumListReqCall(self, request_opts=request_opts) def create(self, body, tenant_key=None, timeout=None): # type: (EmployeeTypeEnum, str, int) -> EmployeeTypeEnumCreateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return EmployeeTypeEnumCreateReqCall(self, body, request_opts=request_opts) def delete(self, tenant_key=None, timeout=None): # type: (str, int) -> EmployeeTypeEnumDeleteReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return EmployeeTypeEnumDeleteReqCall(self, request_opts=request_opts) def update(self, body, tenant_key=None, timeout=None): # type: (EmployeeTypeEnum, str, int) -> EmployeeTypeEnumUpdateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return EmployeeTypeEnumUpdateReqCall(self, body, request_opts=request_opts) class CustomAttrService(object): def __init__(self, service): # type: (Service) -> None self.service = service def list(self, tenant_key=None, timeout=None): # type: (str, int) -> CustomAttrListReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return CustomAttrListReqCall(self, request_opts=request_opts) class GroupService(object): def __init__(self, service): # type: (Service) -> None self.service = service def create(self, body, tenant_key=None, timeout=None): # type: (GroupCreateReqBody, str, int) -> GroupCreateReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupCreateReqCall(self, body, request_opts=request_opts) def simplelist(self, tenant_key=None, timeout=None): # type: (str, int) -> GroupSimplelistReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupSimplelistReqCall(self, request_opts=request_opts) def delete(self, tenant_key=None, timeout=None): # type: (str, int) -> GroupDeleteReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupDeleteReqCall(self, request_opts=request_opts) def get(self, tenant_key=None, timeout=None): # type: (str, int) -> GroupGetReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupGetReqCall(self, request_opts=request_opts) def patch(self, body, tenant_key=None, timeout=None): # type: (GroupPatchReqBody, str, int) -> GroupPatchReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupPatchReqCall(self, body, request_opts=request_opts) class GroupMemberService(object): def __init__(self, service): # type: (Service) -> None self.service = service def simplelist(self, tenant_key=None, timeout=None): # type: (str, int) -> GroupMemberSimplelistReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupMemberSimplelistReqCall(self, request_opts=request_opts) def add(self, body, tenant_key=None, timeout=None): # type: (GroupMemberAddReqBody, str, int) -> GroupMemberAddReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupMemberAddReqCall(self, body, request_opts=request_opts) def remove(self, body, tenant_key=None, timeout=None): # type: (GroupMemberRemoveReqBody, str, int) -> GroupMemberRemoveReqCall request_opts = [] # type: List[Callable[[Any], Any]] if timeout is not None: request_opts += [set_timeout(timeout)] if tenant_key is not None: request_opts += [set_tenant_key(tenant_key)] return GroupMemberRemoveReqCall(self, body, request_opts=request_opts) class CustomAttrListReqCall(object): def __init__(self, service, request_opts=None): # type: (CustomAttrService, List[Any]) -> None self.service = service self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_page_size(self, page_size): # type: (int) -> CustomAttrListReqCall self.query_params['page_size'] = page_size return self def set_page_token(self, page_token): # type: (str) -> CustomAttrListReqCall self.query_params['page_token'] = page_token return self def do(self): # type: () -> APIResponse[Type[CustomAttrListResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/custom_attrs', 'GET', [ACCESS_TOKEN_TYPE_TENANT], None, output_class=CustomAttrListResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentGetReqCall(object): def __init__(self, service, request_opts=None): # type: (DepartmentService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_department_id(self, department_id): # type: (str) -> DepartmentGetReqCall self.path_params['department_id'] = department_id return self def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentGetReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentGetReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[DepartmentGetResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments/:department_id', 'GET', [ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER], None, output_class=DepartmentGetResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentListReqCall(object): def __init__(self, service, request_opts=None): # type: (DepartmentService, List[Any]) -> None self.service = service self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentListReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentListReqCall self.query_params['department_id_type'] = department_id_type return self def set_parent_department_id(self, parent_department_id): # type: (str) -> DepartmentListReqCall self.query_params['parent_department_id'] = parent_department_id return self def set_fetch_child(self, fetch_child): # type: (bool) -> DepartmentListReqCall self.query_params['fetch_child'] = fetch_child return self def set_page_token(self, page_token): # type: (str) -> DepartmentListReqCall self.query_params['page_token'] = page_token return self def set_page_size(self, page_size): # type: (int) -> DepartmentListReqCall self.query_params['page_size'] = page_size return self def do(self): # type: () -> APIResponse[Type[DepartmentListResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments', 'GET', [ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER], None, output_class=DepartmentListResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentPatchReqCall(object): def __init__(self, service, body, request_opts=None): # type: (DepartmentService, Department, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_department_id(self, department_id): # type: (str) -> DepartmentPatchReqCall self.path_params['department_id'] = department_id return self def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentPatchReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentPatchReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[DepartmentPatchResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments/:department_id', 'PATCH', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=DepartmentPatchResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentCreateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (DepartmentService, Department, List[Any]) -> None self.service = service self.body = body self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentCreateReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentCreateReqCall self.query_params['department_id_type'] = department_id_type return self def set_client_token(self, client_token): # type: (str) -> DepartmentCreateReqCall self.query_params['client_token'] = client_token return self def do(self): # type: () -> APIResponse[Type[DepartmentCreateResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments', 'POST', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=DepartmentCreateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentDeleteReqCall(object): def __init__(self, service, request_opts=None): # type: (DepartmentService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_department_id(self, department_id): # type: (str) -> DepartmentDeleteReqCall self.path_params['department_id'] = department_id return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentDeleteReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments/:department_id', 'DELETE', [ACCESS_TOKEN_TYPE_TENANT], None, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentUpdateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (DepartmentService, Department, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_department_id(self, department_id): # type: (str) -> DepartmentUpdateReqCall self.path_params['department_id'] = department_id return self def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentUpdateReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentUpdateReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[DepartmentUpdateResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments/:department_id', 'PUT', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=DepartmentUpdateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentParentReqCall(object): def __init__(self, service, request_opts=None): # type: (DepartmentService, List[Any]) -> None self.service = service self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentParentReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentParentReqCall self.query_params['department_id_type'] = department_id_type return self def set_department_id(self, department_id): # type: (str) -> DepartmentParentReqCall self.query_params['department_id'] = department_id return self def set_page_token(self, page_token): # type: (str) -> DepartmentParentReqCall self.query_params['page_token'] = page_token return self def set_page_size(self, page_size): # type: (int) -> DepartmentParentReqCall self.query_params['page_size'] = page_size return self def do(self): # type: () -> APIResponse[Type[DepartmentParentResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments/parent', 'GET', [ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER], None, output_class=DepartmentParentResult, request_opts=self.request_opts) resp = req.do(conf) return resp class DepartmentSearchReqCall(object): def __init__(self, service, body, request_opts=None): # type: (DepartmentService, DepartmentSearchReqBody, List[Any]) -> None self.service = service self.body = body self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id_type(self, user_id_type): # type: (str) -> DepartmentSearchReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> DepartmentSearchReqCall self.query_params['department_id_type'] = department_id_type return self def set_page_token(self, page_token): # type: (str) -> DepartmentSearchReqCall self.query_params['page_token'] = page_token return self def set_page_size(self, page_size): # type: (int) -> DepartmentSearchReqCall self.query_params['page_size'] = page_size return self def do(self): # type: () -> APIResponse[Type[DepartmentSearchResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/departments/search', 'POST', [ACCESS_TOKEN_TYPE_USER], self.body, output_class=DepartmentSearchResult, request_opts=self.request_opts) resp = req.do(conf) return resp class EmployeeTypeEnumListReqCall(object): def __init__(self, service, request_opts=None): # type: (EmployeeTypeEnumService, List[Any]) -> None self.service = service self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_page_token(self, page_token): # type: (str) -> EmployeeTypeEnumListReqCall self.query_params['page_token'] = page_token return self def set_page_size(self, page_size): # type: (int) -> EmployeeTypeEnumListReqCall self.query_params['page_size'] = page_size return self def do(self): # type: () -> APIResponse[Type[EmployeeTypeEnumListResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/employee_type_enums', 'GET', [ACCESS_TOKEN_TYPE_TENANT], None, output_class=EmployeeTypeEnumListResult, request_opts=self.request_opts) resp = req.do(conf) return resp class EmployeeTypeEnumCreateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (EmployeeTypeEnumService, EmployeeTypeEnum, List[Any]) -> None self.service = service self.body = body if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def do(self): # type: () -> APIResponse[Type[EmployeeTypeEnumCreateResult]] root_service = self.service.service conf = root_service.conf req = APIRequest('/open-apis/contact/v3/employee_type_enums', 'POST', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=EmployeeTypeEnumCreateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class EmployeeTypeEnumDeleteReqCall(object): def __init__(self, service, request_opts=None): # type: (EmployeeTypeEnumService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_enum_id(self, enum_id): # type: (str) -> EmployeeTypeEnumDeleteReqCall self.path_params['enum_id'] = enum_id return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/employee_type_enums/:enum_id', 'DELETE', [ACCESS_TOKEN_TYPE_TENANT], None, request_opts=self.request_opts) resp = req.do(conf) return resp class EmployeeTypeEnumUpdateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (EmployeeTypeEnumService, EmployeeTypeEnum, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_enum_id(self, enum_id): # type: (str) -> EmployeeTypeEnumUpdateReqCall self.path_params['enum_id'] = enum_id return self def do(self): # type: () -> APIResponse[Type[EmployeeTypeEnumUpdateResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/employee_type_enums/:enum_id', 'PUT', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=EmployeeTypeEnumUpdateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupCreateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (GroupService, GroupCreateReqBody, List[Any]) -> None self.service = service self.body = body if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def do(self): # type: () -> APIResponse[Type[GroupCreateResult]] root_service = self.service.service conf = root_service.conf req = APIRequest('/open-apis/contact/v3/group', 'POST', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=GroupCreateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupSimplelistReqCall(object): def __init__(self, service, request_opts=None): # type: (GroupService, List[Any]) -> None self.service = service self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_page_size(self, page_size): # type: (int) -> GroupSimplelistReqCall self.query_params['page_size'] = page_size return self def set_page_token(self, page_token): # type: (str) -> GroupSimplelistReqCall self.query_params['page_token'] = page_token return self def set_type(self, type): # type: (int) -> GroupSimplelistReqCall self.query_params['type'] = type return self def do(self): # type: () -> APIResponse[Type[GroupSimplelistResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/group/simplelist', 'GET', [ACCESS_TOKEN_TYPE_TENANT], None, output_class=GroupSimplelistResult, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupDeleteReqCall(object): def __init__(self, service, request_opts=None): # type: (GroupService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_group_id(self, group_id): # type: (str) -> GroupDeleteReqCall self.path_params['group_id'] = group_id return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/group/:group_id', 'DELETE', [ACCESS_TOKEN_TYPE_TENANT], None, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupGetReqCall(object): def __init__(self, service, request_opts=None): # type: (GroupService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_group_id(self, group_id): # type: (str) -> GroupGetReqCall self.path_params['group_id'] = group_id return self def do(self): # type: () -> APIResponse[Type[GroupGetResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/group/:group_id', 'GET', [ACCESS_TOKEN_TYPE_TENANT], None, output_class=GroupGetResult, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupPatchReqCall(object): def __init__(self, service, body, request_opts=None): # type: (GroupService, GroupPatchReqBody, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_group_id(self, group_id): # type: (str) -> GroupPatchReqCall self.path_params['group_id'] = group_id return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/group/:group_id', 'PATCH', [ACCESS_TOKEN_TYPE_TENANT], self.body, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupMemberSimplelistReqCall(object): def __init__(self, service, request_opts=None): # type: (GroupMemberService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_group_id(self, group_id): # type: (str) -> GroupMemberSimplelistReqCall self.path_params['group_id'] = group_id return self def set_page_size(self, page_size): # type: (int) -> GroupMemberSimplelistReqCall self.query_params['page_size'] = page_size return self def set_page_token(self, page_token): # type: (str) -> GroupMemberSimplelistReqCall self.query_params['page_token'] = page_token return self def set_member_id_type(self, member_id_type): # type: (str) -> GroupMemberSimplelistReqCall self.query_params['member_id_type'] = member_id_type return self def set_member_type(self, member_type): # type: (str) -> GroupMemberSimplelistReqCall self.query_params['member_type'] = member_type return self def do(self): # type: () -> APIResponse[Type[GroupMemberSimplelistResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/group/:group_id/member/simplelist', 'GET', [ACCESS_TOKEN_TYPE_TENANT], None, output_class=GroupMemberSimplelistResult, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupMemberAddReqCall(object): def __init__(self, service, body, request_opts=None): # type: (GroupMemberService, GroupMemberAddReqBody, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_group_id(self, group_id): # type: (str) -> GroupMemberAddReqCall self.path_params['group_id'] = group_id return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/group/:group_id/member/add', 'POST', [ACCESS_TOKEN_TYPE_TENANT], self.body, request_opts=self.request_opts) resp = req.do(conf) return resp class GroupMemberRemoveReqCall(object): def __init__(self, service, body, request_opts=None): # type: (GroupMemberService, GroupMemberRemoveReqBody, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_group_id(self, group_id): # type: (str) -> GroupMemberRemoveReqCall self.path_params['group_id'] = group_id return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] req = APIRequest('/open-apis/contact/v3/group/:group_id/member/remove', 'POST', [ACCESS_TOKEN_TYPE_TENANT], self.body, request_opts=self.request_opts) resp = req.do(conf) return resp class UserDeleteReqCall(object): def __init__(self, service, body, request_opts=None): # type: (UserService, UserDeleteReqBody, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id(self, user_id): # type: (str) -> UserDeleteReqCall self.path_params['user_id'] = user_id return self def set_user_id_type(self, user_id_type): # type: (str) -> UserDeleteReqCall self.query_params['user_id_type'] = user_id_type return self def do(self): # type: () -> APIResponse[Type[None]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/users/:user_id', 'DELETE', [ACCESS_TOKEN_TYPE_TENANT], self.body, request_opts=self.request_opts) resp = req.do(conf) return resp class UserUpdateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (UserService, User, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id(self, user_id): # type: (str) -> UserUpdateReqCall self.path_params['user_id'] = user_id return self def set_user_id_type(self, user_id_type): # type: (str) -> UserUpdateReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> UserUpdateReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[UserUpdateResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/users/:user_id', 'PUT', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=UserUpdateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class UserCreateReqCall(object): def __init__(self, service, body, request_opts=None): # type: (UserService, User, List[Any]) -> None self.service = service self.body = body self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id_type(self, user_id_type): # type: (str) -> UserCreateReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> UserCreateReqCall self.query_params['department_id_type'] = department_id_type return self def set_client_token(self, client_token): # type: (str) -> UserCreateReqCall self.query_params['client_token'] = client_token return self def do(self): # type: () -> APIResponse[Type[UserCreateResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/users', 'POST', [ACCESS_TOKEN_TYPE_TENANT], self.body, output_class=UserCreateResult, request_opts=self.request_opts) resp = req.do(conf) return resp class UserPatchReqCall(object): def __init__(self, service, body, request_opts=None): # type: (UserService, User, List[Any]) -> None self.service = service self.body = body self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id(self, user_id): # type: (str) -> UserPatchReqCall self.path_params['user_id'] = user_id return self def set_user_id_type(self, user_id_type): # type: (str) -> UserPatchReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> UserPatchReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[UserPatchResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/users/:user_id', 'PATCH', [ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER], self.body, output_class=UserPatchResult, request_opts=self.request_opts) resp = req.do(conf) return resp class UserGetReqCall(object): def __init__(self, service, request_opts=None): # type: (UserService, List[Any]) -> None self.service = service self.path_params = {} # type: Dict[str, Any] self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id(self, user_id): # type: (str) -> UserGetReqCall self.path_params['user_id'] = user_id return self def set_user_id_type(self, user_id_type): # type: (str) -> UserGetReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> UserGetReqCall self.query_params['department_id_type'] = department_id_type return self def do(self): # type: () -> APIResponse[Type[UserGetResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_path_params(self.path_params)] self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/users/:user_id', 'GET', [ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER], None, output_class=UserGetResult, request_opts=self.request_opts) resp = req.do(conf) return resp class UserListReqCall(object): def __init__(self, service, request_opts=None): # type: (UserService, List[Any]) -> None self.service = service self.query_params = {} # type: Dict[str, Any] if request_opts: self.request_opts = request_opts else: self.request_opts = [] # type: List[Any] def set_user_id_type(self, user_id_type): # type: (str) -> UserListReqCall self.query_params['user_id_type'] = user_id_type return self def set_department_id_type(self, department_id_type): # type: (str) -> UserListReqCall self.query_params['department_id_type'] = department_id_type return self def set_department_id(self, department_id): # type: (str) -> UserListReqCall self.query_params['department_id'] = department_id return self def set_page_token(self, page_token): # type: (str) -> UserListReqCall self.query_params['page_token'] = page_token return self def set_page_size(self, page_size): # type: (int) -> UserListReqCall self.query_params['page_size'] = page_size return self def do(self): # type: () -> APIResponse[Type[UserListResult]] root_service = self.service.service conf = root_service.conf self.request_opts += [set_query_params(self.query_params)] req = APIRequest('/open-apis/contact/v3/users', 'GET', [ACCESS_TOKEN_TYPE_TENANT, ACCESS_TOKEN_TYPE_USER], None, output_class=UserListResult, request_opts=self.request_opts) resp = req.do(conf) return resp

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8

28cd62e820c61fd82d543321b1b497990059f4fd

27,906

py

Python

lepidoptera/migrations/0001_initial.py

BelgianBiodiversityPlatform/catalogue-lepidoptera-belgium-webapp

c0ed7fde78f9af5afbd91c53ed3f543046e8dd41

[ "BSD-2-Clause-FreeBSD" ]

2

2020-11-17T18:02:44.000Z

2021-02-02T04:00:21.000Z

lepidoptera/migrations/0001_initial.py

BelgianBiodiversityPlatform/catalogue-lepidoptera-belgium-webapp

c0ed7fde78f9af5afbd91c53ed3f543046e8dd41

[ "BSD-2-Clause-FreeBSD" ]

5

2020-06-05T19:00:59.000Z

2022-01-13T00:52:30.000Z

lepidoptera/migrations/0001_initial.py

BelgianBiodiversityPlatform/catalogue-lepidoptera-belgium-webapp

c0ed7fde78f9af5afbd91c53ed3f543046e8dd41

[ "BSD-2-Clause-FreeBSD" ]

null

# Generated by Django 2.0.6 on 2018-07-12 07:27 import django.core.validators from django.db import migrations, models import django.db.models.deletion import lepidoptera.models import markdownx.models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Family', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('author', models.CharField(max_length=255)), ('text', markdownx.models.MarkdownxField(blank=True)), ('text_de', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_en', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_fr', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_nl', markdownx.models.MarkdownxField(blank=True, null=True)), ('display_order', models.IntegerField(unique=True)), ('verbatim_family_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('representative_picture', models.ImageField(blank=True, null=True, upload_to='family_representative_pictures')), ], options={ 'verbose_name_plural': 'families', }, bases=(lepidoptera.models.DisplayOrderNavigable, models.Model), ), migrations.CreateModel( name='Genus', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('author', models.CharField(max_length=255)), ('text', markdownx.models.MarkdownxField(blank=True)), ('text_de', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_en', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_fr', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_nl', markdownx.models.MarkdownxField(blank=True, null=True)), ('display_order', models.IntegerField(unique=True)), ('verbatim_genus_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('family', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Family')), ], options={ 'verbose_name_plural': 'genera', }, bases=(lepidoptera.models.ParentForAdminListMixin, models.Model), ), migrations.CreateModel( name='HostPlantFamily', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('verbatim_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ], options={ 'verbose_name_plural': 'Host plant families', 'ordering': ['name'], }, ), migrations.CreateModel( name='HostPlantGenus', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('verbatim_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('author', models.CharField(blank=True, max_length=255)), ('family', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.HostPlantFamily')), ], options={ 'verbose_name_plural': 'Host plant genera', 'ordering': ['name'], }, ), migrations.CreateModel( name='HostPlantSpecies', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('verbatim_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('author', models.CharField(blank=True, max_length=255)), ('genus', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.HostPlantGenus')), ], options={ 'verbose_name_plural': 'Host plant species', 'ordering': ['name'], }, ), migrations.CreateModel( name='Journal', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('verbatim_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('title', models.CharField(max_length=255)), ], ), migrations.CreateModel( name='Observation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('plant_genus', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.HostPlantGenus')), ('plant_species', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.HostPlantSpecies')), ], ), migrations.CreateModel( name='PageFragment', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('identifier', models.SlugField(unique=True)), ('content_nl', markdownx.models.MarkdownxField(blank=True)), ('content_en', markdownx.models.MarkdownxField(blank=True)), ('content_fr', markdownx.models.MarkdownxField(blank=True)), ('content_de', markdownx.models.MarkdownxField(blank=True)), ], ), migrations.CreateModel( name='Photographer', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('full_name', models.CharField(max_length=100)), ('verbatim_photographer_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ], options={ 'ordering': ('full_name',), }, ), migrations.CreateModel( name='Province', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('code', models.CharField(max_length=3, unique=True)), ('order', models.IntegerField(help_text='In presence tables: order in which the provinces are displayed', unique=True)), ('historical', models.BooleanField(help_text="The province doesn't exists anymore")), ('recent', models.BooleanField(help_text='The province was created at province split')), ('polygon_reference', models.IntegerField(unique=True)), ], options={ 'ordering': ['order'], }, ), migrations.CreateModel( name='Publication', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('verbatim_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('author', models.CharField(max_length=255)), ('title', models.CharField(max_length=255)), ('publisher', models.CharField(blank=True, max_length=255)), ('year', models.CharField(max_length=20)), ('volume', models.CharField(max_length=20)), ('issue', models.CharField(blank=True, max_length=20)), ('page_numbers', models.CharField(blank=True, max_length=255)), ('journal', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Journal')), ], options={ 'ordering': ['title'], }, ), migrations.CreateModel( name='Species', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('author', models.CharField(max_length=255)), ('text', markdownx.models.MarkdownxField(blank=True)), ('text_de', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_en', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_fr', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_nl', markdownx.models.MarkdownxField(blank=True, null=True)), ('display_order', models.IntegerField(unique=True)), ('verbatim_species_number', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('code', models.CharField(max_length=50, unique=True, validators=[lepidoptera.models.validate_only_numbers_and_uppercase, django.core.validators.MinLengthValidator(4)], verbose_name='Species code')), ('first_mention_page', models.CharField(blank=True, max_length=100, verbose_name='page')), ('first_mention_link', models.URLField(blank=True, verbose_name='hyperlink')), ('imago_section_text', markdownx.models.MarkdownxField(blank=True)), ('larva_section_text', markdownx.models.MarkdownxField(blank=True)), ('egg_section_text', markdownx.models.MarkdownxField(blank=True)), ('case_section_text', markdownx.models.MarkdownxField(blank=True)), ('bag_section_text', markdownx.models.MarkdownxField(blank=True)), ('mine_section_text', markdownx.models.MarkdownxField(blank=True)), ('cocoon_section_text', markdownx.models.MarkdownxField(blank=True)), ('bionomics_section_text', markdownx.models.MarkdownxField(blank=True)), ('habitat_section_text', markdownx.models.MarkdownxField(blank=True)), ('hostplants_section_text', markdownx.models.MarkdownxField(blank=True)), ('flightperiod_section_text', markdownx.models.MarkdownxField(blank=True)), ('genus_name', models.CharField(editable=False, max_length=255)), ('first_mention_publication', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Publication', verbose_name='publication')), ('genus', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Genus')), ], options={ 'verbose_name_plural': 'species', }, bases=(lepidoptera.models.ParentForAdminListMixin, models.Model), ), migrations.CreateModel( name='SpeciesPicture', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('image', models.ImageField(blank=True, null=True, upload_to='specimen_pictures')), ('image_subject', models.CharField(choices=[('MUSEUM_SPECIMEN', 'Museum specimen'), ('IN_VIVO_SPECIMEN', 'In Vivo Specimen'), ('PRE_ADULT_STAGE', 'Pre-adult stage'), ('HOST_PLANT', 'Host plant'), ('BIONOMICS', 'Bionomics'), ('HABITAT', 'Habitat')], max_length=20)), ('verbatim_image_filename', models.CharField(max_length=255)), ('specimen_stage', models.CharField(blank=True, choices=[('i', 'Imago'), ('e', 'Egg'), ('l', 'Larva'), ('c', 'Case'), ('b', 'Bag'), ('m', 'Mine'), ('p', 'Pupa/Cocoon')], max_length=1)), ('specimen_sex', models.CharField(blank=True, choices=[('M', 'Male'), ('F', 'Female'), ('A', 'Adult')], max_length=1)), ('side', models.CharField(blank=True, choices=[('UPPER', 'Upper'), ('UNDER', 'Under')], max_length=5)), ('gallery_order', models.IntegerField(help_text='Order in various galleries. Smaller numbers comes first!')), ('photographer', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='lepidoptera.Photographer')), ('species', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Species')), ], ), migrations.CreateModel( name='SpeciesPresence', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('present', models.BooleanField(default=False)), ], ), migrations.CreateModel( name='Status', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('verbatim_status_id', models.IntegerField(help_text='From the Access database', unique=True)), ('name', models.CharField(max_length=255)), ], options={ 'verbose_name_plural': 'statuses', }, ), migrations.CreateModel( name='Subfamily', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('author', models.CharField(max_length=255)), ('text', markdownx.models.MarkdownxField(blank=True)), ('text_de', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_en', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_fr', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_nl', markdownx.models.MarkdownxField(blank=True, null=True)), ('display_order', models.IntegerField(unique=True)), ('verbatim_subfamily_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('family', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Family')), ('status', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Status')), ], options={ 'verbose_name_plural': 'subfamilies', }, ), migrations.CreateModel( name='Subgenus', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('author', models.CharField(max_length=255)), ('text', markdownx.models.MarkdownxField(blank=True)), ('text_de', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_en', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_fr', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_nl', markdownx.models.MarkdownxField(blank=True, null=True)), ('display_order', models.IntegerField(unique=True)), ('verbatim_subgenus_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('genus_name', models.CharField(editable=False, max_length=255)), ('genus', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Genus')), ('status', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Status')), ], options={ 'verbose_name_plural': 'subgenera', }, ), migrations.CreateModel( name='Substrate', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('lepidoptera_species', models.ManyToManyField(through='lepidoptera.Observation', to='lepidoptera.Species')), ], ), migrations.CreateModel( name='TimePeriod', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('icon', models.ImageField(upload_to='time_period_icons')), ], ), migrations.CreateModel( name='Tribus', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('vernacular_name', models.CharField(blank=True, max_length=255)), ('vernacular_name_de', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_en', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_fr', models.CharField(blank=True, max_length=255, null=True)), ('vernacular_name_nl', models.CharField(blank=True, max_length=255, null=True)), ('wikidata_id', models.CharField(blank=True, max_length=255)), ('last_modified', models.DateTimeField(auto_now=True)), ('author', models.CharField(max_length=255)), ('text', markdownx.models.MarkdownxField(blank=True)), ('text_de', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_en', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_fr', markdownx.models.MarkdownxField(blank=True, null=True)), ('text_nl', markdownx.models.MarkdownxField(blank=True, null=True)), ('display_order', models.IntegerField(unique=True)), ('verbatim_tribus_id', models.IntegerField(blank=True, help_text='From the Access database', null=True, unique=True)), ('status', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Status')), ('subfamily', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Subfamily')), ], options={ 'verbose_name_plural': 'tribus', }, ), migrations.AddField( model_name='speciespresence', name='period', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.TimePeriod'), ), migrations.AddField( model_name='speciespresence', name='province', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Province'), ), migrations.AddField( model_name='speciespresence', name='species', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Species'), ), migrations.AddField( model_name='species', name='status', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Status'), ), migrations.AddField( model_name='species', name='subgenus', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Subgenus'), ), migrations.AddField( model_name='species', name='synonym_of', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='synonyms', to='lepidoptera.Species'), ), migrations.AddField( model_name='observation', name='species', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Species'), ), migrations.AddField( model_name='observation', name='substrate', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Substrate'), ), migrations.AddField( model_name='hostplantspecies', name='lepidoptera_species', field=models.ManyToManyField(through='lepidoptera.Observation', to='lepidoptera.Species'), ), migrations.AddField( model_name='hostplantgenus', name='lepidoptera_species', field=models.ManyToManyField(through='lepidoptera.Observation', to='lepidoptera.Species'), ), migrations.AddField( model_name='genus', name='status', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Status'), ), migrations.AddField( model_name='genus', name='subfamily', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Subfamily'), ), migrations.AddField( model_name='genus', name='synonym_of', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='synonyms', to='lepidoptera.Genus'), ), migrations.AddField( model_name='genus', name='tribus', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Tribus'), ), migrations.AddField( model_name='family', name='status', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='lepidoptera.Status'), ), migrations.AlterUniqueTogether( name='speciespresence', unique_together={('species', 'province', 'period')}, ), ]

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7

3ab06d8a1499273e326cfed4b283af32449959f7

5,387

py

Python

plotting/visualise_viability.py

PFMassiani/vibly

5e552cb2ed375d5cd378b92de2f2473485211f2f

[ "MIT" ]

5

2020-06-08T09:44:44.000Z

2022-03-12T06:13:10.000Z

plotting/visualise_viability.py

PFMassiani/vibly

5e552cb2ed375d5cd378b92de2f2473485211f2f

[ "MIT" ]

7

2019-09-27T07:05:34.000Z

2020-04-27T14:15:07.000Z

plotting/visualise_viability.py

PFMassiani/vibly

5e552cb2ed375d5cd378b92de2f2473485211f2f

[ "MIT" ]

6

2019-10-02T09:55:10.000Z

2021-03-08T13:55:21.000Z

import numpy as np import matplotlib.pyplot as plt state_colormap = 'viridis' # other sequential colormaps: 'plasma', 'gray' change_colormap = 'coolwarm' # other diverging colormaps: 'bwr', 'RdBu' def visualise(data, initial_conditions = [], include_end_state = False, state_colormap = state_colormap, change_colormap = change_colormap): Q_map = data['Q_map'] Q_V = data['Q_V'] grids = data['grids'] s_grid = grids['states'] a_grid = grids['actions'] s_min = s_grid[0] s_max = s_grid[-1] a_min = a_grid[0] a_max = a_grid[-1] initial_state = np.repeat(np.array([s_grid]), len(a_grid), axis = 0).T end_state = np.zeros((len(s_grid), len(a_grid))) end_state[Q_V == 1] = Q_map[Q_V == 1] end_state[Q_V != 1] = np.nan change_state = end_state - initial_state if include_end_state: fig, (ax2, ax) = plt.subplots(nrows=2) im2 = ax2.imshow(end_state, origin = 'lower', extent = [a_min, a_max, s_min, s_max], cmap = state_colormap) fig.colorbar(im2, ax=ax2) ax2.set_ylabel('State') ax2.set_title('End state') ax2.set_xticks([]) else: fig, ax = plt.subplots() min_change = np.min(change_state[Q_V == 1]) max_change = np.max(change_state[Q_V == 1]) change = max(abs(min_change), abs(max_change)) im = ax.imshow(change_state, origin = 'lower', extent = [a_min, a_max, s_min, s_max], vmin = - change, vmax = change, cmap = change_colormap) fig.colorbar(im, ax=ax) ax.set_xlabel('Angle of attack (rad)') ax.set_ylabel('State') ax.set_title('Change in state') if len(initial_conditions) > 0: ## To determine the lower bound on state s_lower = np.cos(a_grid)/(initial_conditions[1]+initial_conditions[2]**2/(2*9.81)) # height at touchdown / (height + speed^2/2g) ax.plot(a_grid, s_lower, color = 'k') ax.fill_between(a_grid, s_lower, color = 'grey') if include_end_state: ax2.plot(a_grid, s_lower, color = 'k') ax2.fill_between(a_grid, s_lower, color = 'grey') plt.show(block=False) def visualise_no_dict(s_grid, a_grid, Q_map, Q_V, initial_conditions = [], include_end_state = False, state_colormap = state_colormap, change_colormap = change_colormap): s_min = s_grid[0] s_max = s_grid[-1] a_min = a_grid[0] a_max = a_grid[-1] initial_state = np.repeat(np.array([s_grid]), len(a_grid), axis = 0).T end_state = np.zeros((len(s_grid), len(a_grid))) end_state[Q_V == 1] = Q_map[Q_V == 1] end_state[Q_V != 1] = np.nan change_state = end_state - initial_state if include_end_state: fig, (ax2, ax) = plt.subplots(nrows=2) im2 = ax2.imshow(end_state, origin = 'lower', extent = [a_min, a_max, s_min, s_max], cmap = state_colormap) fig.colorbar(im2, ax=ax2) ax2.set_ylabel('State') ax2.set_title('End state') ax2.set_xticks([]) else: fig, ax = plt.subplots() min_change = np.min(change_state[Q_V == 1]) max_change = np.max(change_state[Q_V == 1]) change = max(abs(min_change), abs(max_change)) im = ax.imshow(change_state, origin = 'lower', extent = [a_min, a_max, s_min, s_max], vmin = - change, vmax = change, cmap = change_colormap) fig.colorbar(im, ax=ax) ax.set_xlabel('Angle of attack (rad)') ax.set_ylabel('State') ax.set_title('Change in state') if len(initial_conditions) > 0: ## To determine the lower bound on state s_lower = np.cos(a_grid)/(initial_conditions[1]+initial_conditions[2]**2/(2*9.81)) # height at touchdown / (height + speed^2/2g) ax.plot(a_grid, s_lower, color = 'k') ax.fill_between(a_grid, s_lower, color = 'grey') if include_end_state: ax2.plot(a_grid, s_lower, color = 'k') ax2.fill_between(a_grid, s_lower, color = 'grey') plt.show(block=False) def visualise_old(data, initial_conditions = [], include_end_state = False, state_colormap = state_colormap, change_colormap = change_colormap): Q_map = data['Q_map'] Q_V = data['Q_V'] grids = data['grids'] s_grid = grids['states'] a_grid = grids['actions'] s_min = s_grid[0] s_max = s_grid[-1] a_min = a_grid[0] a_max = a_grid[-1] initial_state = np.repeat(np.array([s_grid]), len(a_grid), axis = 0).T end_state = np.zeros((len(s_grid), len(a_grid))) end_state[Q_V == 1] = Q_map[Q_V == 1] end_state[Q_V != 1] = np.nan change_state = end_state - initial_state plt.figure() if include_end_state: plt.subplot(211) plt.imshow(end_state, origin = 'lower', extent = [a_min, a_max, s_min, s_max], cmap = state_colormap) plt.colorbar() plt.subplot(212) min_change = np.min(change_state[Q_V == 1]) max_change = np.max(change_state[Q_V == 1]) change = max(abs(min_change), abs(max_change)) plt.imshow(change_state, origin = 'lower', extent = [a_min, a_max, s_min, s_max], vmin = - change, vmax = change, cmap = change_colormap) plt.colorbar() if len(initial_conditions) > 0: ## To determine the lower bound on state # height at touchdown / (height + speed^2/2g) s_lower = np.cos(a_grid)/(initial_conditions[1] + initial_conditions[2]**2/(2*9.81)) plt.plot(a_grid, s_lower, color = 'k') plt.fill_between(a_grid, s_lower, color = 'grey') if include_end_state: plt.subplot(2,1,1) plt.plot(a_grid, s_lower, color = 'k') plt.fill_between(a_grid, s_lower, color = 'grey') ## Labels if include_end_state: plt.subplot(2,1,1) plt.xticks([]) plt.ylabel('State') plt.title('End state') plt.subplot(2,1,2) plt.xlabel('Angle of attack (rad)') plt.ylabel('State') plt.title('Change in state')

33.66875

145

0.682198

927

5,387

3.703344

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0.043694

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false

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0

null

0

1

0

1

0

null

0

7

3ad601c320633a1634d7e7ad8913defa2352f198

209

py

Python

tf_model_zoo/__init__.py

zhang-can/ECO-pytorch

355c3866b35cdaa5d451263c1f3291c150e22eeb

[ "BSD-2-Clause" ]

192

2018-06-13T06:42:03.000Z

2022-02-22T11:26:41.000Z

tf_model_zoo/__init__.py

aimeng100/ECO-pytorch

f1ea392eea8d651c123fff3b876e233ec51bc2cb

[ "BSD-2-Clause" ]

64

2018-06-20T10:14:17.000Z

2021-09-08T05:58:25.000Z

tf_model_zoo/__init__.py

aimeng100/ECO-pytorch

f1ea392eea8d651c123fff3b876e233ec51bc2cb

[ "BSD-2-Clause" ]

43

2018-06-30T00:59:43.000Z

2021-08-25T02:21:23.000Z

from .inceptionresnetv2.pytorch_load import inceptionresnetv2 from .inceptionv4.pytorch_load import inceptionv4 from .bninception.pytorch_load import BNInception, InceptionV3 from .ECO.pytorch_load import ECO

41.8

62

0.875598

25

209

7.16

0.36

0.24581

0.379888

0

0.026042

0.08134

209

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0.90625

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

3ae583d3b140fe58b0655a068f01aefe20ec56b2

6,965

py

Python

auxiliary/generate_figures.py

mchandra12/replication_gonzalez_2013

ff8c342e1cd9af225ccb9a4e63069fef1e49431d

[ "MIT" ]

null

auxiliary/generate_figures.py

mchandra12/replication_gonzalez_2013

ff8c342e1cd9af225ccb9a4e63069fef1e49431d

[ "MIT" ]

null

auxiliary/generate_figures.py

mchandra12/replication_gonzalez_2013

ff8c342e1cd9af225ccb9a4e63069fef1e49431d

[ "MIT" ]

null

import matplotlib.pyplot as plt import numpy as np import statsmodels.formula.api as smf from auxiliary.generate_tables import * from auxiliary.pre_process_datasets import * from auxiliary.run_regressions import * # import pandas as pd def create_fig_hh_expenditure(): df3_avg = df3.groupby(["month"]).mean() # Turn month back to a column from index df3_avg.reset_index(inplace=True) plt.figure(figsize=(13, 4)) plt.subplot(1, 2, 1) df_rdd_left = df3_avg.loc[(df3_avg["month"] < 0) & (df3_avg["month"] > -31)] df_rdd_right = df3_avg.loc[(df3_avg["month"] > 0) & (df3_avg["month"] < 20)] coeffs = np.polyfit(df_rdd_left["month"], df_rdd_left["gastmon"], 2) poly = np.poly1d(coeffs) predict_x = np.linspace(df_rdd_left["month"].iloc[0], df_rdd_left["month"].iloc[-1]) predict_y = poly(predict_x) plt.plot( df_rdd_left["month"], df_rdd_left["gastmon"], "o", predict_x, predict_y, c="g" ) coeffsr = np.polyfit(df_rdd_right["month"], df_rdd_right["gastmon"], 2) polyr = np.poly1d(coeffsr) predict_xr = np.linspace( df_rdd_right["month"].iloc[0], df_rdd_right["month"].iloc[-1] ) predict_yr = poly(predict_xr) plt.plot( df_rdd_right["month"], df_rdd_right["gastmon"], "o", predict_xr, predict_yr, c="y", ) plt.ylim(0, 60000) plt.xlim(-30, 20) plt.xlabel("Month of birth (0=July 2007)") plt.axvline(x=0, color="k") plt.grid(True) plt.title("Total expenditure by month of birth") plt.subplot(1, 2, 2) # df_rdd_left = df3_avg.loc[(df3_avg["month"] < 0) & (df3_avg["month"] > -31)] # df_rdd_right = df3_avg.loc[(df3_avg["month"] > 0) & (df3_avg["month"] < 20)] coeffs = np.polyfit(df_rdd_left["month"], df_rdd_left["c_m_exp"], 2) poly = np.poly1d(coeffs) predict_x = np.linspace(df_rdd_left["month"].iloc[0], df_rdd_left["month"].iloc[-1]) predict_y = poly(predict_x) plt.plot( df_rdd_left["month"], df_rdd_left["c_m_exp"], "o", predict_x, predict_y, c="g" ) coeffsr = np.polyfit(df_rdd_right["month"], df_rdd_right["c_m_exp"], 3) polyr = np.poly1d(coeffsr) predict_xr = np.linspace( df_rdd_right["month"].iloc[0], df_rdd_right["month"].iloc[-1] ) predict_yr = polyr(predict_xr) plt.plot( df_rdd_right["month"], df_rdd_right["c_m_exp"], "o", predict_xr, predict_yr, c="y", ) plt.ylim(0, 10000) plt.xlim(-30, 20) plt.xlabel("Month of birth (0=July 2007)") plt.axvline(x=0, color="k") plt.grid(True) plt.title("Child-related expenditure by month of birth") plt.suptitle( "Household Expenditure (Annual) by Month of Birth (HBS 2008)", verticalalignment="baseline", fontsize=14, ) return def create_daycare_figure(): df3_avg = df3.groupby(["month"]).mean() # Turn month back to a column from index df3_avg.reset_index(inplace=True) plt.figure(figsize=(13, 4)) plt.subplot(1, 2, 1) df_rdd_left = df3_avg.loc[(df3_avg["month"] < 0) & (df3_avg["month"] > -31)] df_rdd_right = df3_avg.loc[(df3_avg["month"] > 0) & (df3_avg["month"] < 20)] res = smf.ols(formula="m_exp12312 ~ month", data=df_rdd_left).fit() a1 = res.predict(df_rdd_left) res2 = smf.ols(formula="m_exp12312 ~ month", data=df_rdd_right).fit() a2 = res2.predict(df_rdd_right) plt.scatter(df3_avg["month"], df3_avg["m_exp12312"], edgecolors="r") plt.plot(df_rdd_left["month"], a1) plt.plot(df_rdd_right["month"], a2) plt.ylim(0, 1000) plt.xlim(-30, 20) plt.xlabel("Month of birth (0=July 2007)") plt.axvline(x=0, color="k") plt.grid(True) plt.title("Daycare expenditure by month of birth") plt.subplot(1, 2, 2) res = smf.ols(formula="daycare_bin ~ month", data=df_rdd_left).fit() a1 = res.predict(df_rdd_left) res2 = smf.ols(formula="daycare_bin ~ month", data=df_rdd_right).fit() a2 = res2.predict(df_rdd_right) plt.scatter(df3_avg["month"], df3_avg["daycare_bin"], edgecolors="r") plt.plot(df_rdd_left["month"], a1) plt.plot(df_rdd_right["month"], a2) plt.ylim(0, 0.7) plt.xlim(-30, 20) plt.xlabel("Month of birth (0=July 2007)") plt.axvline(x=0, color="k") plt.title("Fraction with positive daycare expenditure by month of birth") plt.grid(True) plt.suptitle( "Daycare Expenditure by Month of Birth (HBS 2008)", verticalalignment="baseline", fontsize=14, ) return def create_fertility_figure(): df1_avg = df1.groupby(["conception_month"]).mean() # Turn month back to a column from index df1_avg.reset_index(inplace=True) df2_avg = df2.groupby(["abortion_month"]).mean() # Turn month back to a column from index df2_avg.reset_index(inplace=True) plt.figure(figsize=(13, 4)) plt.subplot(1, 2, 1) df_rdd_left = df1_avg.loc[ (df1_avg["conception_month"] < 0) & (df1_avg["conception_month"] > -31) ] df_rdd_right = df1_avg.loc[ (df1_avg["conception_month"] > 0) & (df1_avg["conception_month"] < 20) ] res = smf.ols( formula="number_conceptions ~ conception_month", data=df_rdd_left ).fit() a1 = res.predict(df_rdd_left) res2 = smf.ols( formula="number_conceptions ~ conception_month", data=df_rdd_right ).fit() a2 = res2.predict(df_rdd_right) plt.scatter( df1_avg["conception_month"], df1_avg["number_conceptions"], edgecolors="r" ) plt.plot(df_rdd_left["conception_month"], a1) plt.plot(df_rdd_right["conception_month"], a2) plt.ylim(30000, 50000) plt.xlim(-15, 15) plt.xlabel("Month of conception (0=July 2007)") plt.axvline(x=0, color="k") plt.grid(True) plt.title("Number of conceptions by month") plt.subplot(1, 2, 2) df_rdd_left = df2_avg.loc[ (df2_avg["abortion_month"] < 0) & (df2_avg["abortion_month"] > -31) ] df_rdd_right = df2_avg.loc[ (df2_avg["abortion_month"] > 0) & (df2_avg["abortion_month"] < 20) ] res = smf.ols( formula="ln_number_abortions ~ abortion_month", data=df_rdd_left ).fit() a1 = res.predict(df_rdd_left) res2 = smf.ols( formula="ln_number_abortions ~ abortion_month", data=df_rdd_right ).fit() a2 = res2.predict(df_rdd_right) plt.scatter( df2_avg["abortion_month"], df2_avg["ln_number_abortions"], edgecolors="r" ) plt.plot(df_rdd_left["abortion_month"], a1) plt.plot(df_rdd_right["abortion_month"], a2) # plt.ylim(10000, 22000) plt.xlim(-30, 20) plt.xlabel("Month of abortion (0=July 2007)") plt.axvline(x=0, color="k") plt.title("Number of abortions by month") plt.grid(True) plt.suptitle( "Fertility Effect: Conceptions and Abortions by month", verticalalignment="baseline", fontsize=14, ) return

29.764957

88

0.634027

1,050

6,965

3.977143

0.132381

0.069444

0.0625

0.034483

0.824713

0.793582

0.779454

0.744971

0.726533

0.711207

0

0.050136

0.20962

6,965

233

89

29.892704

0.708447

0.051113

0

0.553672

1

0

0.203636

0

1

0.016949

false

0

0.033898

0

0.067797

0

null

0

1

0

1

0

null

0

7

aaeeec2348acda5a46d054130f43125e1fffb71a

3,499

py

Python

tests/test_class_oelint_vars_srcurireqopt.py

skycaptain/oelint-adv

ff67d3149cf8b1de2b0b2d158a68f4e2cf5e9e46

[ "BSD-2-Clause" ]

null

tests/test_class_oelint_vars_srcurireqopt.py

skycaptain/oelint-adv

ff67d3149cf8b1de2b0b2d158a68f4e2cf5e9e46

[ "BSD-2-Clause" ]

null

tests/test_class_oelint_vars_srcurireqopt.py

skycaptain/oelint-adv

ff67d3149cf8b1de2b0b2d158a68f4e2cf5e9e46

[ "BSD-2-Clause" ]

null

import pytest from .base import TestBaseClass class TestClassOelintVarsSRCURIReqOpt(TestBaseClass): @pytest.mark.parametrize('id', ['oelint.vars.srcurioptions']) @pytest.mark.parametrize('occurrence', [1]) @pytest.mark.parametrize('input', [ { 'oelint_adv_test.bb': 'SRC_URI += "git://foo.org/gaz.git;name=foo;branch=master"', }, { 'oelint_adv_test.bb': 'SRC_URI += "gitsm://foo.org/gaz.git;name=foo;branch=master"', }, { 'oelint_adv_test.bb': 'SRC_URI += "git://foo.org/gaz.git;name=foo;protocol=ssh"', }, { 'oelint_adv_test.bb': 'SRC_URI += "gitsm://foo.org/gaz.git;name=foo;protocol=ssh"', }, ], ) def test_bad(self, input, id, occurrence): self.check_for_id(self._create_args(input), id, occurrence) @pytest.mark.parametrize('id', ['oelint.vars.srcurioptions']) @pytest.mark.parametrize('occurrence', [2]) @pytest.mark.parametrize('input', [ { 'oelint_adv_test.bb': 'SRC_URI += "git://foo.org/gaz.git;name=foo"', }, { 'oelint_adv_test.bb': 'SRC_URI += "gitsm://foo.org/gaz.git;name=foo"', }, ], ) def test_really_bad(self, input, id, occurrence): self.check_for_id(self._create_args(input), id, occurrence) @pytest.mark.parametrize('id', ['oelint.vars.srcurioptions']) @pytest.mark.parametrize('occurrence', [0]) @pytest.mark.parametrize('input', [ { 'oelint_adv_test.bb': 'SRC_URI += "git://foo.org/gaz.git;name=foo;protocol=ssh;branch=main"', }, { 'oelint_adv_test.bb': 'SRC_URI += "gitsm://foo.org/gaz.git;name=foo;protocol=ssh;branch=main"', }, { 'oelint_adv_test.bb': 'SRC_URI += "git://foo.org/gaz.git;name=foo;protocol=ssh;nobranch=1"', }, { 'oelint_adv_test.bb': 'SRC_URI += "gitsm://foo.org/gaz.git;name=foo;protocol=ssh;nobranch=1"', }, ], ) def test_good(self, input, id, occurrence): self.check_for_id(self._create_args(input), id, occurrence)

47.283784

110

0.356959

263

3,499

4.574144

0.1673

0.074813

0.108063

0.124688

0.898587

0

0.003041

0.530151

3,499

73

111

47.931507

0.72871

0

0.328358

0

0.119403

0.256645

0.159188

0

1

0.044776

false

0

0.029851

0

0.089552

0

null

0

1

0

1

0

null

0

7

c90d96e1e22f9db6bb7aa0c259d156bcfe3819e2

2,482

py

Python

morepath/tests/test_view_directive.py

DuncanBetts/morepath

acad10489b051df9c512f6735a9338854745a599

[ "BSD-3-Clause" ]

null

morepath/tests/test_view_directive.py

DuncanBetts/morepath

acad10489b051df9c512f6735a9338854745a599

[ "BSD-3-Clause" ]

null

morepath/tests/test_view_directive.py

DuncanBetts/morepath

acad10489b051df9c512f6735a9338854745a599

[ "BSD-3-Clause" ]

null

import morepath from dectate import ConflictError from webtest import TestApp as Client from reg import ClassIndex, KeyIndex import pytest from morepath.core import request_method_predicate def test_view_get_only(): class App(morepath.App): pass @App.path(path='') class Model(object): def __init__(self): pass @App.view(model=Model) def default(self, request): return "View" c = Client(App()) response = c.get('/') assert response.body == b'View' response = c.post('/', status=405) def test_view_name_conflict_involving_default(): class App(morepath.App): pass @App.path(path='') class Model(object): def __init__(self): pass @App.view(model=Model) def default(self, request): return "View" @App.view(model=Model, name='') def default2(self, request): return "View" with pytest.raises(ConflictError): App.commit() def test_view_custom_predicate_conflict_involving_default_extends(): class Core(morepath.App): pass class App(Core): pass @Core.predicate(morepath.App.get_view, name='extra', default='DEFAULT', index=ClassIndex, after=request_method_predicate) def dummy_predicate(request): return None @App.path(path='') class Model(object): def __init__(self): pass @App.view(model=Model) def default(self, request): return "View" @App.view(model=Model, extra='DEFAULT') def default2(self, request): return "View" with pytest.raises(ConflictError): App.commit() def test_view_custom_predicate_without_fallback(): class Core(morepath.App): pass class App(Core): pass @Core.predicate(morepath.App.get_view, name='extra', default='DEFAULT', index=KeyIndex, after=request_method_predicate) def dummy_predicate(self, obj, request): return 'match' @App.path(path='') class Model(object): def __init__(self): pass @App.view(model=Model, extra='match') def default(self, request): return "View" @App.view(model=Model, name='foo', extra='not match') def not_match(self, request): return "Not match" c = Client(App()) response = c.get('/') assert response.body == b'View' c.get('/foo', status=404)

22.160714

75

0.611604

294

2,482

5.003401

0.207483

0.079538

0.057104

0.080897

0.709041

0.702243

0.64242

0

0.00441

0.269138

2,482

111

76

22.36036

0.806505

0

0.703704

0

0.040693

0

0.024691

1

0.209877

false

0.123457

0.074074

0.111111

0.518519

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

c95714ed2d73b92d1af2c3285210b7418503710e

15,087

py

Python

tests/persistence/test_progress.py

pawelkopka/kopf

51a3a70e09a17cf3baec2946b64b125a90595cf4

[ "MIT" ]

null

tests/persistence/test_progress.py

pawelkopka/kopf

51a3a70e09a17cf3baec2946b64b125a90595cf4

[ "MIT" ]

null

tests/persistence/test_progress.py

pawelkopka/kopf

51a3a70e09a17cf3baec2946b64b125a90595cf4

[ "MIT" ]

null

import copy import datetime from unittest.mock import Mock import freezegun import pytest from kopf.reactor.states import HandlerOutcome, State, deliver_results # Timestamps: time zero (0), before (B), after (A), and time zero+1s (1). TSB = datetime.datetime(2020, 12, 31, 23, 59, 59, 000000) TS0 = datetime.datetime(2020, 12, 31, 23, 59, 59, 123456) TS1 = datetime.datetime(2021, 1, 1, 00, 00, 00, 123456) TSA = datetime.datetime(2020, 12, 31, 23, 59, 59, 999999) TSB_ISO = '2020-12-31T23:59:59.000000' TS0_ISO = '2020-12-31T23:59:59.123456' TS1_ISO = '2021-01-01T00:00:00.123456' TSA_ISO = '2020-12-31T23:59:59.999999' ZERO_DELTA = datetime.timedelta(seconds=0) @pytest.fixture() def handler(): return Mock(id='some-id', spec_set=['id']) @freezegun.freeze_time(TS0) def test_always_started_when_created_from_scratch(handler): patch = {} state = State.from_scratch(handlers=[handler]) state.store(patch=patch) assert patch['status']['kopf']['progress']['some-id']['started'] == TS0_ISO @pytest.mark.parametrize('expected, body', [ (TS0_ISO, {}), (TS0_ISO, {'status': {}}), (TS0_ISO, {'status': {'kopf': {}}}), (TS0_ISO, {'status': {'kopf': {'progress': {}}}}), (TS0_ISO, {'status': {'kopf': {'progress': {'some-id': {}}}}}), (TS0_ISO, {'status': {'kopf': {'progress': {'some-id': {'started': None}}}}}), (TS0_ISO, {'status': {'kopf': {'progress': {'some-id': {'started': TS0_ISO}}}}}), (TSB_ISO, {'status': {'kopf': {'progress': {'some-id': {'started': TSB_ISO}}}}}), (TSA_ISO, {'status': {'kopf': {'progress': {'some-id': {'started': TSA_ISO}}}}}), ]) @freezegun.freeze_time(TS0) def test_always_started_when_created_from_body(handler, body, expected): origbody = copy.deepcopy(body) patch = {} state = State.from_body(body=body, handlers=[handler]) state.store(patch=patch) assert patch['status']['kopf']['progress']['some-id']['started'] == expected assert body == origbody # not modified @pytest.mark.parametrize('expected, body', [ (ZERO_DELTA, {}), (ZERO_DELTA, {'status': {}}), (ZERO_DELTA, {'status': {'kopf': {}}}), (ZERO_DELTA, {'status': {'kopf': {'progress': {}}}}), (ZERO_DELTA, {'status': {'kopf': {'progress': {'some-id': {}}}}}), (ZERO_DELTA, {'status': {'kopf': {'progress': {'some-id': {'started': None}}}}}), (ZERO_DELTA, {'status': {'kopf': {'progress': {'some-id': {'started': TS0_ISO}}}}}), (TS0 - TSB, {'status': {'kopf': {'progress': {'some-id': {'started': TSB_ISO}}}}}), (TS0 - TSA, {'status': {'kopf': {'progress': {'some-id': {'started': TSA_ISO}}}}}), ]) @freezegun.freeze_time(TS0) def test_runtime(handler, expected, body): origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) result = state[handler.id].runtime assert result == expected assert body == origbody # not modified @pytest.mark.parametrize('expected, body', [ (False, {}), (False, {'status': {}}), (False, {'status': {'kopf': {}}}), (False, {'status': {'kopf': {'progress': {}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'success': False}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': False}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'success': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'success': True}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'failure': True}}}}}), ]) def test_finished_flag(handler, expected, body): origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) result = state[handler.id].finished assert result == expected assert body == origbody # not modified @pytest.mark.parametrize('expected, body', [ # Everything that is finished is not sleeping, no matter the sleep/awake field. (False, {'status': {'kopf': {'progress': {'some-id': {'success': True}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': True}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'success': True, 'delayed': TS0_ISO}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': True, 'delayed': TS0_ISO}}}}}), # Everything with no sleep/awake field set is not sleeping either. (False, {'status': {'kopf': {'progress': {'some-id': {}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'success': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'success': None, 'delayed': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': None, 'delayed': None}}}}}), # When not finished and has awake time, the output depends on the relation to "now". (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO, 'success': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO, 'failure': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TSB_ISO}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TSB_ISO, 'success': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TSB_ISO, 'failure': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TSA_ISO}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TSA_ISO, 'success': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TSA_ISO, 'failure': None}}}}}), ]) @freezegun.freeze_time(TS0) def test_sleeping_flag(handler, expected, body): origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) result = state[handler.id].sleeping assert result == expected assert body == origbody # not modified @pytest.mark.parametrize('expected, body', [ # Everything that is finished never awakens, no matter the sleep/awake field. (False, {'status': {'kopf': {'progress': {'some-id': {'success': True}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': True}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'success': True, 'delayed': TS0_ISO}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'failure': True, 'delayed': TS0_ISO}}}}}), # Everything with no sleep/awake field is not sleeping, thus by definition is awake. (True , {'status': {'kopf': {'progress': {'some-id': {}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'success': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'failure': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'success': None, 'delayed': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'failure': None, 'delayed': None}}}}}), # When not finished and has awake time, the output depends on the relation to "now". (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO, 'success': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO, 'failure': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TSB_ISO}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TSB_ISO, 'success': None}}}}}), (True , {'status': {'kopf': {'progress': {'some-id': {'delayed': TSB_ISO, 'failure': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TSA_ISO}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TSA_ISO, 'success': None}}}}}), (False, {'status': {'kopf': {'progress': {'some-id': {'delayed': TSA_ISO, 'failure': None}}}}}), ]) @freezegun.freeze_time(TS0) def test_awakened_flag(handler, expected, body): origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) result = state[handler.id].awakened assert result == expected assert body == origbody # not modified @pytest.mark.parametrize('expected, body', [ (None, {}), (None, {'status': {}}), (None, {'status': {'kopf': {}}}), (None, {'status': {'kopf': {'progress': {}}}}), (None, {'status': {'kopf': {'progress': {'some-id': {}}}}}), (None, {'status': {'kopf': {'progress': {'some-id': {'delayed': None}}}}}), (TS0, {'status': {'kopf': {'progress': {'some-id': {'delayed': TS0_ISO}}}}}), ]) def test_awakening_time(handler, expected, body): origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) result = state[handler.id].delayed assert result == expected assert body == origbody # not modified @pytest.mark.parametrize('expected, body', [ (0, {}), (0, {'status': {}}), (0, {'status': {'kopf': {'progress': {}}}}), (0, {'status': {'kopf': {'progress': {'some-id': {}}}}}), (0, {'status': {'kopf': {'progress': {'some-id': {'retries': None}}}}}), (6, {'status': {'kopf': {'progress': {'some-id': {'retries': 6}}}}}), ]) def test_get_retry_count(handler, expected, body): origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) result = state[handler.id].retries assert result == expected assert body == origbody # not modified @pytest.mark.parametrize('body, delay, expected', [ ({}, None, None), ({}, 0, TS0_ISO), ({}, 1, TS1_ISO), ]) @freezegun.freeze_time(TS0) def test_set_awake_time(handler, expected, body, delay): origbody = copy.deepcopy(body) patch = {} state = State.from_body(body=body, handlers=[handler]) state = state.with_outcomes(outcomes={handler.id: HandlerOutcome(final=False, delay=delay)}) state.store(patch=patch) assert patch['status']['kopf']['progress']['some-id'].get('delayed') == expected assert body == origbody # not modified @pytest.mark.parametrize('expected_retries, expected_delayed, delay, body', [ (1, None, None, {}), (1, TS0_ISO, 0, {}), (1, TS1_ISO, 1, {}), (1, None, None, {'status': {'kopf': {'progress': {'some-id': {'retries': None}}}}}), (1, TS0_ISO, 0, {'status': {'kopf': {'progress': {'some-id': {'retries': None}}}}}), (1, TS1_ISO, 1, {'status': {'kopf': {'progress': {'some-id': {'retries': None}}}}}), (6, None, None, {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}}), (6, TS0_ISO, 0, {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}}), (6, TS1_ISO, 1, {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}}), ]) @freezegun.freeze_time(TS0) def test_set_retry_time(handler, expected_retries, expected_delayed, body, delay): origbody = copy.deepcopy(body) patch = {} state = State.from_body(body=body, handlers=[handler]) state = state.with_outcomes(outcomes={handler.id: HandlerOutcome(final=False, delay=delay)}) state.store(patch=patch) assert patch['status']['kopf']['progress']['some-id']['retries'] == expected_retries assert patch['status']['kopf']['progress']['some-id']['delayed'] == expected_delayed assert body == origbody # not modified @pytest.mark.parametrize('expected_retries, expected_stopped, body', [ (1, TS0_ISO, {}), (6, TS0_ISO, {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}}), ]) @freezegun.freeze_time(TS0) def test_store_failure(handler, expected_retries, expected_stopped, body): error = Exception('some-error') origbody = copy.deepcopy(body) patch = {} state = State.from_body(body=body, handlers=[handler]) state = state.with_outcomes(outcomes={handler.id: HandlerOutcome(final=True, exception=error)}) state.store(patch=patch) assert patch['status']['kopf']['progress']['some-id']['success'] is False assert patch['status']['kopf']['progress']['some-id']['failure'] is True assert patch['status']['kopf']['progress']['some-id']['retries'] == expected_retries assert patch['status']['kopf']['progress']['some-id']['stopped'] == expected_stopped assert patch['status']['kopf']['progress']['some-id']['message'] == 'some-error' assert body == origbody # not modified @pytest.mark.parametrize('expected_retries, expected_stopped, body', [ (1, TS0_ISO, {}), (6, TS0_ISO, {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}}), ]) @freezegun.freeze_time(TS0) def test_store_success(handler, expected_retries, expected_stopped, body): origbody = copy.deepcopy(body) patch = {} state = State.from_body(body=body, handlers=[handler]) state = state.with_outcomes(outcomes={handler.id: HandlerOutcome(final=True)}) state.store(patch=patch) assert patch['status']['kopf']['progress']['some-id']['success'] is True assert patch['status']['kopf']['progress']['some-id']['failure'] is False assert patch['status']['kopf']['progress']['some-id']['retries'] == expected_retries assert patch['status']['kopf']['progress']['some-id']['stopped'] == expected_stopped assert patch['status']['kopf']['progress']['some-id']['message'] is None assert body == origbody # not modified @pytest.mark.parametrize('result, expected_patch', [ (None, {}), ('string', {'status': {'some-id': 'string'}}), ({'field': 'value'}, {'status': {'some-id': {'field': 'value'}}}), ]) def test_store_result(handler, expected_patch, result): patch = {} outcomes = {handler.id: HandlerOutcome(final=True, result=result)} deliver_results(outcomes=outcomes, patch=patch) assert patch == expected_patch def test_purge_progress_when_exists_in_body(handler): body = {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}} patch = {} origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) state.purge(patch=patch, body=body) assert patch == {'status': {'kopf': {'progress': None}}} assert body == origbody # not modified def test_purge_progress_when_already_empty_in_body_and_patch(handler): body = {} patch = {} origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) state.purge(patch=patch, body=body) assert not patch assert body == origbody # not modified def test_purge_progress_when_already_empty_in_body_but_not_in__patch(handler): body = {} patch = {'status': {'kopf': {'progress': {'some-id': {'retries': 5}}}}} origbody = copy.deepcopy(body) state = State.from_body(body=body, handlers=[handler]) state.purge(patch=patch, body=body) assert not patch assert body == origbody # not modified

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1

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null

0

7

c979b90c8ac7db83b2a97f3715cb17a9cd239cc2

349

py

Python

test/test_beams.py

ebisim/ebisim

7197767a4d69fa1f7d5f0582eaf8f35c30f0b1f3

[ "MIT" ]

2

2021-03-11T11:01:18.000Z

2021-03-12T11:58:20.000Z

test/test_beams.py

ebisim/ebisim

7197767a4d69fa1f7d5f0582eaf8f35c30f0b1f3

[ "MIT" ]

14

2019-06-03T14:56:55.000Z

2021-07-21T20:01:27.000Z

test/test_beams.py

HPLegion/EBISSimulation

7197767a4d69fa1f7d5f0582eaf8f35c30f0b1f3

[ "MIT" ]

1

2019-03-13T13:13:05.000Z

""" Tests for ebisim.beams """ #TODO: extend test suite import ebisim.beams import pytest def test_electron_velocity(): assert ebisim.beams.electron_velocity(3e3) == pytest.approx(3.234302e7) assert ebisim.beams.electron_velocity(3e4) == pytest.approx(9.84447e7) assert ebisim.beams.electron_velocity(3e5) == pytest.approx(2.327965e8)

26.846154

75

0.759312

47

349

5.531915

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0.211538

0.196154

0.288462

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0

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1

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7

a34cd1ef8e8d3ce6e617e18be26b8678e5e15f39

1,813

py

Python

llorens/day06/Day06Solver.py

CloudCoders/AdventOfCode2017

5a52d1e89076eccb55686e4af5848de289309813

[ "MIT" ]

8

2017-12-11T18:22:52.000Z

2017-12-13T00:50:24.000Z

llorens/day06/Day06Solver.py

CloudCoders/AdventOfCode2017

5a52d1e89076eccb55686e4af5848de289309813

[ "MIT" ]

8

2017-12-01T14:31:29.000Z

2017-12-07T21:43:43.000Z

llorens/day06/Day06Solver.py

CloudCoders/AdventOfCode2017

5a52d1e89076eccb55686e4af5848de289309813

[ "MIT" ]

null

def solve_part_1(sequence): sequence = sequence.split("\t") historic = [sequence[:]] block_redistribution = 0 sequence_size = len(sequence) for i in range(sequence_size): sequence[i] = int(sequence[i]) while True: maximum = -1 index = -1 for i in range(sequence_size): if sequence[i] > maximum: maximum = sequence[i] index = i sequence[index] = 0 increase = int(maximum/sequence_size) res = maximum % sequence_size for i in range(1, sequence_size+1): if i <= res: sequence[(index + i) % sequence_size] += increase + 1 else: sequence[(index + i) % sequence_size] += increase if sequence in historic: return len(historic) else: historic.append(sequence[:]) def solve_part_2(sequence): sequence = sequence.split("\t") historic = [sequence[:]] block_redistribution = 0 sequence_size = len(sequence) for i in range(sequence_size): sequence[i] = int(sequence[i]) while True: maximum = -1 index = -1 for i in range(sequence_size): if sequence[i] > maximum: maximum = sequence[i] index = i sequence[index] = 0 increase = int(maximum/sequence_size) res = maximum % sequence_size for i in range(1, sequence_size+1): if i <= res: sequence[(index + i) % sequence_size] += increase + 1 else: sequence[(index + i) % sequence_size] += increase if sequence in historic: return len(historic) - historic.index(sequence) else: historic.append(sequence[:])

24.835616

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1

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null

0

8

a3562139dc764ad1b891a07cb37a974ee0ca4b21

4,576

py

Python

apps/strategy/testcases/integration/tests_outerstrategy.py

ycheng-aa/gated_launch_backend

cbb9e7e530ab28d5914276e9607ebfcf84be6433

[ "MIT" ]

null

apps/strategy/testcases/integration/tests_outerstrategy.py

ycheng-aa/gated_launch_backend

cbb9e7e530ab28d5914276e9607ebfcf84be6433

[ "MIT" ]

null

apps/strategy/testcases/integration/tests_outerstrategy.py

ycheng-aa/gated_launch_backend

cbb9e7e530ab28d5914276e9607ebfcf84be6433

[ "MIT" ]

null

from rest_framework import status from apps.common.tests import BaseTestCase from apps.auth.models import User from apps.app.models import App class OuterStrategyTestCase(BaseTestCase): ''' 外灰策略单元测试 ''' def setUp(self): self.normal_user = User.objects.get(username='normal_user') self.admin_user = User.objects.get(username='admin_user') # app1的app owner self.app1_owner_user = User.objects.get(username='app_owner_user') # app2的app owner self.app2_owner_user = User.objects.get(username='test_app_owner') # app1 self.app = App.objects.get(pk=1) # 初始化Testcase所需参数 self.test_data = {"name": "unit test outerstrategy", "appId": 1, "allowUsers": "4,5,6", "isCompatible": 0, "frequency": 2} self.super_user = self.app1_owner_user self.for_list_url = 'outerStrategies-list' self.for_detail_url = 'outerStrategies-detail' # get test cases def test_normal_user_can_not_get_outerstrategy(self): self.do_test_user_get_permission(self.normal_user, status.HTTP_403_FORBIDDEN) def test_admin_user_can_not_get_outerstrategy(self): self.do_test_user_get_permission(self.admin_user, status.HTTP_403_FORBIDDEN) def test_app_owner_user_can_get_outerstrategy(self): self.do_test_user_get_permission(self.app1_owner_user, status.HTTP_200_OK) def test_other_app_user_can_not_get_outerstrategy(self): self.do_test_user_get_permission(self.app2_owner_user, status.HTTP_403_FORBIDDEN) # patch test cases def test_normal_user_can_not_patch_outerstrategy(self): self.do_test_user_patch_permission(self.normal_user, {"name": "modified unit test outerstrategy"}, status.HTTP_403_FORBIDDEN) def test_admin_user_can_patch_outerstrategy(self): self.do_test_user_patch_permission(self.admin_user, {"name": "modified unit test outerstrategy"}, status.HTTP_403_FORBIDDEN) def test_app_owner_user_can_patch_outerstrategy(self): self.do_test_user_patch_permission(self.app1_owner_user, {"name": "modified unit test outerstrategy"}, status.HTTP_200_OK) def test_other_app_user_can_patch_outerstrategy(self): self.do_test_user_patch_permission(self.app2_owner_user, {"name": "modified unit test outerstrategy"}, status.HTTP_403_FORBIDDEN) # create test cases def test_normal_user_can_not_create_outerstrategy(self): self.do_test_user_create_permission(self.normal_user, status.HTTP_403_FORBIDDEN) def test_admin_user_can_not_create_outerstrategy(self): self.do_test_user_create_permission(self.admin_user, status.HTTP_403_FORBIDDEN) def test_app_owner_user_can_create_outerstrategy(self): self.do_test_user_create_permission(self.app1_owner_user, status.HTTP_200_OK) def test_other_app_owner_user_can_not_create_outerstrategy(self): self.do_test_user_create_permission(self.app2_owner_user, status.HTTP_403_FORBIDDEN) # delete test cases def test_normarl_user_can_not_delete_outerstrategy(self): self.do_test_user_delete_permission(user=self.normal_user, expect_status=status.HTTP_200_OK, extra_verify=lambda res: self.assertEqual(res.data.get('msg', {}), '1: You do not have permission to perform this action.')) def test_admin_user_can_not_delete_outerstrategy(self): self.do_test_user_delete_permission(user=self.admin_user, expect_status=status.HTTP_200_OK, extra_verify=lambda res: self.assertEqual(res.data.get('msg', {}), '1: You do not have permission to perform this action.')) def test_app_owner_user_can_delete_outerstrategy(self): self.do_test_user_delete_permission(user=self.app1_owner_user, expect_status=status.HTTP_200_OK, extra_verify=lambda res: self.assertEqual(res.data.get('msg', {}), u'成功')) def test_other_app_owner_user_can_not_delete_outerstrategy(self): self.do_test_user_delete_permission(user=self.app2_owner_user, expect_status=status.HTTP_200_OK, extra_verify=lambda res: self.assertEqual(res.data.get('msg', {}), '1: You do not have permission to perform this action.'))

47.175258

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null

0

1

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null

0

1

0

7

a3819414b1c70303bff9c1ad2c2738e09382cf24

2,170

py

Python

reo/migrations/0144_auto_20211210_2306.py

NREL/REopt_API

fbc70f3b0cdeec9ee220266d6b3b0c5d64f257a6

[ "BSD-3-Clause" ]

7

2022-01-29T12:10:10.000Z

2022-03-28T13:45:20.000Z

reo/migrations/0144_auto_20211210_2306.py

NREL/reopt_api

fbc70f3b0cdeec9ee220266d6b3b0c5d64f257a6

[ "BSD-3-Clause" ]

12

2022-02-01T18:23:18.000Z

2022-03-31T17:22:17.000Z

reo/migrations/0144_auto_20211210_2306.py

NREL/REopt_API

fbc70f3b0cdeec9ee220266d6b3b0c5d64f257a6

[ "BSD-3-Clause" ]

3

2022-02-08T19:44:40.000Z

2022-03-12T11:05:36.000Z

# Generated by Django 3.1.13 on 2021-12-10 23:06 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('reo', '0143_auto_20211209_1922'), ] operations = [ migrations.RenameField( model_name='sitemodel', old_name='year_one_renewable_electricity_kwh', new_name='annual_renewable_electricity_kwh', ), migrations.RenameField( model_name='sitemodel', old_name='year_one_renewable_electricity_kwh_bau', new_name='annual_renewable_electricity_kwh_bau', ), migrations.RenameField( model_name='sitemodel', old_name='year_one_renewable_electricity_pct', new_name='annual_renewable_electricity_pct', ), migrations.RenameField( model_name='sitemodel', old_name='year_one_renewable_electricity_pct_bau', new_name='annual_renewable_electricity_pct_bau', ), migrations.RenameField( model_name='sitemodel', old_name='year_one_renewable_heat_pct', new_name='annual_total_renewable_energy_pct', ), migrations.RenameField( model_name='sitemodel', old_name='year_one_renewable_heat_pct_bau', new_name='annual_total_renewable_energy_pct_bau', ), migrations.RemoveField( model_name='sitemodel', name='year_one_electricity_kwh', ), migrations.RemoveField( model_name='sitemodel', name='year_one_electricity_kwh_bau', ), migrations.RemoveField( model_name='sitemodel', name='year_one_heat_load_mmbtu', ), migrations.RemoveField( model_name='sitemodel', name='year_one_heat_load_mmbtu_bau', ), migrations.RemoveField( model_name='sitemodel', name='year_one_renewable_heat_mmbtu', ), migrations.RemoveField( model_name='sitemodel', name='year_one_renewable_heat_mmbtu_bau', ), ]

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2,170

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0.177632

0.131579

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0.70148

0.694079

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2,170

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63

32.38806

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0.021198

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0.065574

0

null

0

1

0

1

0

null

0

7

6e62d838d0f01262da3f452262892e0938627cc4

40,852

py

Python

test_sort.py

imacube/sorting-pictures

0dad1b5c6ed43a2adb1e7be88f399d207ef95e4d

[ "MIT" ]

null

test_sort.py

imacube/sorting-pictures

0dad1b5c6ed43a2adb1e7be88f399d207ef95e4d

[ "MIT" ]

null

test_sort.py

imacube/sorting-pictures

0dad1b5c6ed43a2adb1e7be88f399d207ef95e4d

[ "MIT" ]

null

"""Tests for sort.py.""" import shutil from argparse import Namespace from datetime import datetime from pathlib import PosixPath, Path from unittest.mock import patch, call import pytest from sort import SortingPictures @pytest.fixture def sorting_pictures(): return SortingPictures() @pytest.fixture def namespace(): return Namespace(move=False, collisions=False, suffix=False, parse=False, exif=False, google_json=False, dry_run=False, paths='src dest'.split()) class TestParseArguments: def test_basic(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('src dest'.split()) assert args == namespace def test_move(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('--move src dest'.split()) namespace.move = True assert args == namespace def test_many_sources(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('src0 src1 src2 src3 dest'.split()) namespace.paths = 'src0 src1 src2 src3 dest'.split() assert args == Namespace(move=False, collisions=False, suffix=False, parse=False, exif=False, google_json=False, dry_run=False, paths=['src0', 'src1', 'src2', 'src3', 'dest']) def test_collisions(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('--collisions src dest'.split()) namespace.collisions = True assert args == namespace def test_suffix(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('--suffix src dest'.split()) namespace.suffix = True assert args == namespace def test_exif(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('--exif src dest'.split()) namespace.exif = True assert args == namespace def test_google_json(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('--google-json src dest'.split()) namespace.google_json = True assert args == namespace def test_dry_run(self, sorting_pictures, namespace): parser = sorting_pictures.parse_arguments() args = parser.parse_args('--dry-run src dest'.split()) namespace.dry_run = True assert args == namespace parser = sorting_pictures.parse_arguments() args = parser.parse_args('--dry-run src dest'.split()) namespace.dry_run = True assert args == namespace class TestGetGoogleJsonDate: def test_good_file(self, sorting_pictures): actual = sorting_pictures.get_google_json_date(Path('sample-images/a6a5e930cac831ef4e00255c51872867.jpg')) expected = datetime(year=2021, month=3, day=17, hour=11, minute=42, second=42) assert actual == expected def test_bad_file(self, sorting_pictures): actual = sorting_pictures.get_google_json_date(Path('sample-images/not_image_name.jpg')) assert actual is None class TestGetDateFromFile: def test_get_datetime(self, sorting_pictures): actual = sorting_pictures.get_date_from_filename(Path('IMG_20171022_124203.jpg')) expected = datetime(year=2017, month=10, day=22, hour=12, minute=42, second=3) assert actual == expected def test_image_duplicate(self, sorting_pictures): actual = sorting_pictures.get_date_from_filename(Path('IMG_20171104_104157_01.jpg')) expected = datetime(year=2017, month=11, day=4, hour=10, minute=41, second=57) assert actual == expected def test_screenshot(self, sorting_pictures): actual = sorting_pictures.get_date_from_filename(Path('Screenshot_20171007-143321.png')) expected = datetime(year=2017, month=10, day=7, hour=14, minute=33, second=21) assert actual == expected def test_video(self, sorting_pictures): actual = sorting_pictures.get_date_from_filename(Path('VID_20180724_173611.mp4')) expected = datetime(year=2018, month=7, day=24, hour=17, minute=36, second=11) assert actual == expected def test_failure(self, sorting_pictures): actual = sorting_pictures.get_date_from_filename(Path('metadata.jpg')) assert actual is None def test_image_tilde(self, sorting_pictures): actual = sorting_pictures.get_date_from_filename(Path('IMG_20171022_124203~2.jpg')) expected = datetime(year=2017, month=10, day=22, hour=12, minute=42, second=3) assert actual == expected def test_image_metadata(self, sorting_pictures): actual = sorting_pictures.get_date_from_exif(Path('sample-images/metadata.jpg')) expected = datetime(year=2022, month=2, day=27, hour=12, minute=9, second=35) assert actual == expected class TestIsFile: def test_file(self, sorting_pictures): assert sorting_pictures.is_file('sample-images/metadata.jpg') def test_symlink(self, sorting_pictures): assert not sorting_pictures.is_file('sample-images/no-m') assert not sorting_pictures.is_file('sample-images/VID') def test_dir(self, sorting_pictures): assert not sorting_pictures.is_file('sample-images') def test_other(self, sorting_pictures): assert not sorting_pictures.is_file('/dev/null') class TestSearchDirectory: def test_dir(self, sorting_pictures): result = sorting_pictures.search_directory('sample-images') assert sorted(result) == sorted( [ PosixPath('sample-images/IMG_20171022_010203_01.jpg'), PosixPath('sample-images/IMG_20171022_124203.unknown_suffix'), PosixPath('sample-images/IMG_NO_PARSE.jpg'), PosixPath('sample-images/VID'), PosixPath('sample-images/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('sample-images/metadata-copy.jpg'), PosixPath('sample-images/metadata.jpg'), PosixPath('sample-images/no-m'), PosixPath('sample-images/no-metadata'), PosixPath('sample-images/no-metadata/20170112_110943-ANIMATION.gif'), PosixPath('sample-images/no-metadata/20171022_010203.jpg'), PosixPath('sample-images/no-metadata/IMG_20171022_124203.jpg'), PosixPath('sample-images/no-metadata/IMG_20171022_124203_01.jpg'), PosixPath('sample-images/no-metadata/IMG_20171104_104157.jpg'), PosixPath('sample-images/no-metadata/IMG_20171104_104157_01.jpg'), PosixPath('sample-images/no-metadata/IMG_20171104_104158~.jpg'), PosixPath('sample-images/no-metadata/IMG_20181001_124203.gif'), PosixPath('sample-images/no-metadata/IMG~20171104~104159~.jpg'), PosixPath('sample-images/no-metadata/Screenshot_20171007-143321.png'), PosixPath('sample-images/no-metadata/VID_20180724_173611.mp4'), PosixPath('sample-images/no-metadata.jpg'), PosixPath('sample-images/not_image_name.jpg.json'), ] ) class TestDiffFiles: def test_same_hash(self, sorting_pictures): assert sorting_pictures.diff_files('sample-images/metadata.jpg', 'sample-images/metadata-copy.jpg') is True def test_different_hash(self, sorting_pictures): assert sorting_pictures.diff_files('sample-images/metadata.jpg', 'sample-images/no-metadata.jpg') is False class TestMoveFile: def test_copy_file(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) dest_file = tmp_path / 'dest' / 'metadata-dest.jpg' assert not dest_file.exists() assert sorting_pictures.move_file(src_file, dest_file) is True assert dest_file.exists() def test_move_file(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) dest_file = tmp_path / 'dest' / 'metadata-dest.jpg' assert src_file.exists() assert not dest_file.exists() assert sorting_pictures.move_file(src_file, dest_file, move=True) is True assert not src_file.exists() assert dest_file.exists() def test_file_exists_same_hash(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) dest_file = tmp_path / 'dest' / 'metadata-dest.jpg' assert not dest_file.exists() sorting_pictures.move_file(src_file, dest_file) assert dest_file.exists() assert sorting_pictures.move_file(src_file, dest_file) is True def test_file_exists_different_hash(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' dest_file = dest / 'metadata-dest.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) assert not dest_file.exists() sorting_pictures.move_file(src_file, dest_file) assert dest_file.exists() shutil.copy2('sample-images/no-metadata.jpg', src_file) assert sorting_pictures.move_file(src_file, dest_file) is True assert (dest_file.parent / ('%s-%d%s' % (dest_file.stem, 1, dest_file.suffix))).exists() assert sorting_pictures.move_file(src_file, dest_file) is True shutil.copy2('sample-images/no-metadata/IMG_20171022_124203_01.jpg', src_file) assert sorting_pictures.move_file(src_file, dest_file) is True assert (dest_file.parent / ('%s-%d%s' % (dest_file.stem, 2, dest_file.suffix))).exists() assert sorting_pictures.move_file(src_file, dest_file) is True def test_src_file_is_dir(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' src_file.mkdir() dest_file = tmp_path / 'dest' / 'metadata-dest.jpg' assert src_file.is_dir() assert not dest_file.exists() sorting_pictures.move_file(src_file, dest_file) assert not dest_file.exists() def test_dest_file_is_dir(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) dest = tmp_path / 'dest' dest.mkdir(parents=True, exist_ok=True) assert dest.is_dir() assert not sorting_pictures.move_file(src_file, dest) def test_src_file_is_symlink(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) src_file = src / 'metadata-symlink.jpg' src_file.symlink_to(src / 'metadata.jpg') dest_file = tmp_path / 'dest' / 'metadata-dest.jpg' assert src_file.is_symlink() assert not dest_file.exists() sorting_pictures.move_file(src_file, dest_file) assert not dest_file.exists() def test_dest_file_is_symlink(self, sorting_pictures, tmp_path): src = tmp_path / 'src' src.mkdir(parents=True, exist_ok=True) src_file = src / 'metadata.jpg' shutil.copy2('sample-images/metadata.jpg', src_file) dest = tmp_path / 'dest' dest.mkdir(parents=True, exist_ok=True) dest = dest / 'metadata-dest.jpg' shutil.copy2('sample-images/metadata.jpg', dest) dest_symlink = tmp_path / 'dest' / 'metadata-symlink.jpg' dest_symlink.symlink_to(dest) assert dest.is_file() assert dest_symlink.is_symlink() assert not sorting_pictures.move_file(src_file, dest_symlink) class TestSortImages: def test_successful_run_copy(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) shutil.copytree('sample-images', src, symlinks=True) sorting_pictures.sort_images(src, dest) result = sorting_pictures.search_directory(dest) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted([PosixPath('dest/2017-01'), PosixPath('dest/2017-01/IMG_20170112_110943.gif'), PosixPath('dest/2017-10'), PosixPath('dest/2017-10/IMG_20171007_143321.png'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203-1.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203.jpg'), PosixPath('dest/2017-11'), PosixPath('dest/2017-11/IMG_20171104_104157.jpg'), PosixPath('dest/2017-11/IMG_20171104_104158.jpg'), PosixPath('dest/2017-11/IMG_20171104_104159.jpg'), PosixPath('dest/2018-07'), PosixPath('dest/2018-07/VID_20180724_173611.mp4'), PosixPath('dest/2018-10'), PosixPath('dest/2018-10/IMG_20181001_124203.gif')]) log = sorting_pictures.log log['parse'] = [p.relative_to(tmp_path) for p in log['parse']] log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] log['collisions'] = [(p_s.relative_to(tmp_path), p_d.relative_to(tmp_path)) for (p_s, p_d) in log['collisions']] log['exif'] = [p.relative_to(tmp_path) for p in log['exif']] log['google_json_date'] = [p.relative_to(tmp_path) for p in log['google_json_date']] expected = {'collisions': [(PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'))], 'exif': [], 'google_json_date': [], 'parse': [PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), ], 'suffix': [PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]} log = {k: sorted(v) for k, v in log.items()} expected = {k: sorted(v) for k, v in expected.items()} assert log == expected def test_successful_run_move(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) shutil.copytree('sample-images', src, symlinks=True) sorting_pictures.sort_images(src, dest, move=True) result = sorting_pictures.search_directory(dest) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted([PosixPath('dest/2017-01'), PosixPath('dest/2017-01/IMG_20170112_110943.gif'), PosixPath('dest/2017-10'), PosixPath('dest/2017-10/IMG_20171007_143321.png'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203-1.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203.jpg'), PosixPath('dest/2017-11'), PosixPath('dest/2017-11/IMG_20171104_104157.jpg'), PosixPath('dest/2017-11/IMG_20171104_104158.jpg'), PosixPath('dest/2017-11/IMG_20171104_104159.jpg'), PosixPath('dest/2018-07'), PosixPath('dest/2018-07/VID_20180724_173611.mp4'), PosixPath('dest/2018-10'), PosixPath('dest/2018-10/IMG_20181001_124203.gif')]) result = sorting_pictures.search_directory(src) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted([PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-m'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), PosixPath('src/no-metadata'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]) log = sorting_pictures.log log['parse'] = [p.relative_to(tmp_path) for p in log['parse']] log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] log['collisions'] = [(p_s.relative_to(tmp_path), p_d.relative_to(tmp_path)) for (p_s, p_d) in log['collisions']] log['exif'] = [p.relative_to(tmp_path) for p in log['exif']] log['google_json_date'] = [p.relative_to(tmp_path) for p in log['google_json_date']] expected = {'collisions': [(PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'))], 'exif': [], 'google_json_date': [], 'parse': [PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), ], 'suffix': [PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]} log = {k: sorted(v) for k, v in log.items()} expected = {k: sorted(v) for k, v in expected.items()} assert log == expected def test_successful_run_exif(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) shutil.copytree('sample-images', src, symlinks=True) sorting_pictures.sort_images(src, dest, move=True, exif=True) result = sorting_pictures.search_directory(dest) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted( [ PosixPath('dest/2017-01'), PosixPath('dest/2017-01/IMG_20170112_110943.gif'), PosixPath('dest/2017-10'), PosixPath('dest/2017-10/IMG_20171007_143321.png'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203-1.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203.jpg'), PosixPath('dest/2017-11'), PosixPath('dest/2017-11/IMG_20171104_104157.jpg'), PosixPath('dest/2017-11/IMG_20171104_104158.jpg'), PosixPath('dest/2017-11/IMG_20171104_104159.jpg'), PosixPath('dest/2018-07'), PosixPath('dest/2018-07/VID_20180724_173611.mp4'), PosixPath('dest/2018-10'), PosixPath('dest/2018-10/IMG_20181001_124203.gif'), PosixPath('dest/2022-02'), PosixPath('dest/2022-02/IMG_20220227_120935.jpg'), ] ) result = sorting_pictures.search_directory(src) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted( [ PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-m'), PosixPath('src/no-metadata.jpg'), PosixPath('src/no-metadata'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]) log = sorting_pictures.log log['parse'] = [p.relative_to(tmp_path) for p in log['parse']] log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] log['collisions'] = [(p_s.relative_to(tmp_path), p_d.relative_to(tmp_path)) for (p_s, p_d) in log['collisions']] log['exif'] = [p.relative_to(tmp_path) for p in log['exif']] log['google_json_date'] = [p.relative_to(tmp_path) for p in log['google_json_date']] expected = {'collisions': [(PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'))], 'exif': [PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg')], 'google_json_date': [], 'parse': [PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), ], 'suffix': [PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]} log = {k: sorted(v) for k, v in log.items()} expected = {k: sorted(v) for k, v in expected.items()} assert log == expected def test_successful_run_google_json_date(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) shutil.copytree('sample-images', src, symlinks=True) sorting_pictures.sort_images(src, dest, move=True, google_json_date=True) result = sorting_pictures.search_directory(dest) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted( [ PosixPath('dest/2017-01'), PosixPath('dest/2017-01/IMG_20170112_110943.gif'), PosixPath('dest/2017-10'), PosixPath('dest/2017-10/IMG_20171007_143321.png'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203-1.jpg'), PosixPath('dest/2017-10/IMG_20171022_124203.jpg'), PosixPath('dest/2017-11'), PosixPath('dest/2017-11/IMG_20171104_104157.jpg'), PosixPath('dest/2017-11/IMG_20171104_104158.jpg'), PosixPath('dest/2017-11/IMG_20171104_104159.jpg'), PosixPath('dest/2018-07'), PosixPath('dest/2018-07/VID_20180724_173611.mp4'), PosixPath('dest/2018-10'), PosixPath('dest/2018-10/IMG_20181001_124203.gif'), ] ) result = sorting_pictures.search_directory(src) result = [p.relative_to(tmp_path) for p in result] assert sorted(result) == sorted( [ PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-m'), PosixPath('src/no-metadata.jpg'), PosixPath('src/no-metadata'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/metadata-copy.jpg'), PosixPath('src/metadata.jpg'), PosixPath('src/not_image_name.jpg.json'), ]) log = sorting_pictures.log log['parse'] = [p.relative_to(tmp_path) for p in log['parse']] log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] log['collisions'] = [(p_s.relative_to(tmp_path), p_d.relative_to(tmp_path)) for (p_s, p_d) in log['collisions']] log['exif'] = [p.relative_to(tmp_path) for p in log['exif']] log['google_json_date'] = [p.relative_to(tmp_path) for p in log['google_json_date']] expected = {'collisions': [(PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'))], 'exif': [], 'google_json_date': [PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/metadata-copy.jpg'), PosixPath('src/metadata.jpg'), PosixPath('src/no-metadata.jpg')], 'parse': [PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), ], 'suffix': [PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]} log = {k: sorted(v) for k, v in log.items()} expected = {k: sorted(v) for k, v in expected.items()} assert log == expected def test_unknown_suffix(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) src.mkdir(parents=True, exist_ok=True) bad_suffix = src / 'IMG_20170102_030405.UNKNOWN_FOOBAR' bad_suffix.touch() sorting_pictures.sort_images(src, dest) result = sorting_pictures.search_directory(dest) assert result == list() log = sorting_pictures.log log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] assert log == { 'parse': [], 'exif': [], 'google_json_date': [], 'suffix': [PosixPath('src/IMG_20170102_030405.UNKNOWN_FOOBAR')], 'collisions': []} def test_run_copy_dry_run(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) shutil.copytree('sample-images', src, symlinks=True) sorting_pictures.sort_images(src, dest, dry_run=True) result = sorting_pictures.search_directory(dest) result = [p.relative_to(tmp_path) for p in result] assert result == [] log = sorting_pictures.log log['parse'] = [p.relative_to(tmp_path) for p in log['parse']] log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] log['collisions'] = [(p_s.relative_to(tmp_path), p_d.relative_to(tmp_path)) for (p_s, p_d) in log['collisions']] log['exif'] = [p.relative_to(tmp_path) for p in log['exif']] log['google_json_date'] = [p.relative_to(tmp_path) for p in log['google_json_date']] expected = {'collisions': [(PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'))], 'exif': [], 'google_json_date': [], 'parse': [PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), ], 'suffix': [PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]} log = {k: sorted(v) for k, v in log.items()} expected = {k: sorted(v) for k, v in expected.items()} assert log == expected def test_run_move_dry_run(self, sorting_pictures, tmp_path): src = tmp_path / 'src' dest = tmp_path / 'dest' if src.exists(): shutil.rmtree(src) if dest.exists(): shutil.rmtree(dest) shutil.copytree('sample-images', src, symlinks=True) sorting_pictures.sort_images(src, dest, move=True, dry_run=True) result = sorting_pictures.search_directory(dest) result = [p.relative_to(tmp_path) for p in result] assert result == [] log = sorting_pictures.log log['parse'] = [p.relative_to(tmp_path) for p in log['parse']] log['suffix'] = [p.relative_to(tmp_path) for p in log['suffix']] log['collisions'] = [(p_s.relative_to(tmp_path), p_d.relative_to(tmp_path)) for (p_s, p_d) in log['collisions']] log['exif'] = [p.relative_to(tmp_path) for p in log['exif']] log['google_json_date'] = [p.relative_to(tmp_path) for p in log['google_json_date']] expected = {'collisions': [(PosixPath('src/IMG_20171022_010203_01.jpg'), PosixPath('dest/2017-10/IMG_20171022_010203.jpg'))], 'exif': [], 'google_json_date': [], 'parse': [PosixPath('src/metadata-copy.jpg'), PosixPath('src/IMG_NO_PARSE.jpg'), PosixPath('src/no-metadata.jpg'), PosixPath('src/metadata.jpg'), ], 'suffix': [PosixPath('src/VID'), PosixPath('src/IMG_20171022_124203.unknown_suffix'), PosixPath('src/a6a5e930cac831ef4e00255c51872867.jpg.json'), PosixPath('src/not_image_name.jpg.json'), ]} log = {k: sorted(v) for k, v in log.items()} expected = {k: sorted(v) for k, v in expected.items()} assert log == expected class TestMain: @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_basic(self, mock_parser, mock_sort_images, sorting_pictures, namespace): mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_sort_images.assert_called_with(PosixPath('src'), PosixPath('dest'), move=False, exif=False, google_json_date=False, dry_run=False) @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_basic_exif_true(self, mock_parser, mock_sort_images, sorting_pictures, namespace): namespace.exif = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_sort_images.assert_called_with(PosixPath('src'), PosixPath('dest'), move=False, exif=True, google_json_date=False, dry_run=False) @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_basic_google_json_true(self, mock_parser, mock_sort_images, sorting_pictures, namespace): namespace.google_json = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_sort_images.assert_called_with(PosixPath('src'), PosixPath('dest'), move=False, exif=False, google_json_date=True, dry_run=False) @patch('sys.exit') @patch('sort.SortingPictures.parse_arguments') def test_basic_exif_and_google_json_date(self, mock_parser, mock_exit, sorting_pictures, namespace): namespace.exif = True namespace.google_json = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_exit.assert_called_once_with(1) @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_basic_dry_run(self, mock_parser, mock_sort_images, sorting_pictures, namespace): namespace.dry_run = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_sort_images.assert_called_with(PosixPath('src'), PosixPath('dest'), move=False, exif=False, google_json_date=False, dry_run=True) @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_basic_move(self, mock_parser, mock_sort_images, sorting_pictures, namespace): namespace.move = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_sort_images.assert_called_with(PosixPath('src'), PosixPath('dest'), move=True, exif=False, google_json_date=False, dry_run=False) @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_multi_src(self, mock_parser, mock_sort_images, sorting_pictures, namespace): namespace.paths = 'src0 src1 src2 dest'.split() mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() assert mock_sort_images.call_args_list == [ call(PosixPath('src0'), PosixPath('dest'), move=False, exif=False, google_json_date=False, dry_run=False), call(PosixPath('src1'), PosixPath('dest'), move=False, exif=False, google_json_date=False, dry_run=False), call(PosixPath('src2'), PosixPath('dest'), move=False, exif=False, google_json_date=False, dry_run=False)] @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_multi_src_move(self, mock_parser, mock_sort_images, sorting_pictures, namespace): namespace.move = True namespace.paths = 'src0 src1 src2 dest'.split() mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() assert mock_sort_images.call_args_list == [ call(PosixPath('src0'), PosixPath('dest'), move=True, exif=False, google_json_date=False, dry_run=False), call(PosixPath('src1'), PosixPath('dest'), move=True, exif=False, google_json_date=False, dry_run=False), call(PosixPath('src2'), PosixPath('dest'), move=True, exif=False, google_json_date=False, dry_run=False), ] @patch('sys.exit') @patch('sort.SortingPictures.parse_arguments') def test_bad_order(self, mock_parser, mock_exit, sorting_pictures, namespace): namespace.paths = 'src0 src1 src2 dest --collisions'.split() mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_exit.assert_called_once_with(1) mock_exit.reset_mock() namespace.paths = 'src0 src1 --collisions src2 dest'.split() mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_exit.assert_called_once_with(1) @patch('sys.exit') @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_too_few_args(self, mock_parser, mock_sort_images, mock_exit, sorting_pictures, namespace): namespace.paths = 'src'.split() mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.main() mock_sort_images.assert_not_called() mock_exit.assert_called_once_with(1) @patch('builtins.print') @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_collisions_true(self, mock_parser, mock_sorting_pictures, mock_print, sorting_pictures, namespace): namespace.collisions = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.log['collisions'] = [('a', 'b')] sorting_pictures.log['suffix'] = ['a.UNKNOWN'] sorting_pictures.log['parse'] = ['metadata.jpg'] sorting_pictures.main() assert mock_print.mock_calls == [call('collisions', 'a', 'b')] @patch('builtins.print') @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_suffix_true(self, mock_parser, mock_sorting_pictures, mock_print, sorting_pictures, namespace): namespace.suffix = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.log['collisions'] = [('a', 'b')] sorting_pictures.log['suffix'] = ['a.UNKNOWN'] sorting_pictures.log['parse'] = ['metadata.jpg'] sorting_pictures.main() assert mock_print.mock_calls == [call('suffix', 'a.UNKNOWN')] @patch('builtins.print') @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_parse_true(self, mock_parser, mock_sorting_pictures, mock_print, sorting_pictures, namespace): namespace.parse = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.log['collisions'] = [('a', 'b')] sorting_pictures.log['suffix'] = ['a.UNKNOWN'] sorting_pictures.log['parse'] = ['metadata.jpg'] sorting_pictures.main() assert mock_print.mock_calls == [call('parse', 'metadata.jpg')] @patch('builtins.print') @patch('sort.SortingPictures.sort_images') @patch('sort.SortingPictures.parse_arguments') def test_all_output_options(self, mock_parser, mock_sorting_pictures, mock_print, sorting_pictures, namespace): namespace.collisions = True namespace.suffix = True namespace.parse = True mock_parser.return_value.parse_args.return_value = namespace sorting_pictures.log['collisions'] = [('a', 'b')] sorting_pictures.log['suffix'] = ['a.UNKNOWN'] sorting_pictures.log['parse'] = ['metadata.jpg'] sorting_pictures.main() assert mock_print.mock_calls == [call('collisions', 'a', 'b'), call('suffix', 'a.UNKNOWN'), call('parse', 'metadata.jpg')]

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40,852

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0.905039

0.874952

0.843455

0.83666

0.831916

0.802299

0

0.068918

0.279325

40,852

894

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45.695749

0.725859

0.000441

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null

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0

1

0

null

0

7

6e710270fe6fbd8b5352fb19cfcf491ba400103d

11,681

py

Python

models/nn.py

AlejandroCatalina/lstm_wind_energy

6107502fb478040c5942b4ac5bc03c86b0cd1776

[ "MIT" ]

1

2020-08-16T06:45:54.000Z

models/nn.py

AlejandroCatalina/lstm_wind_energy

6107502fb478040c5942b4ac5bc03c86b0cd1776

[ "MIT" ]

null

models/nn.py

AlejandroCatalina/lstm_wind_energy

6107502fb478040c5942b4ac5bc03c86b0cd1776

[ "MIT" ]

null

import numpy as np import pyro import pyro.distributions as dist import pyro.infer import pyro.optim import torch import torch.nn as nn from torch.distributions import LogNormal, Normal class LSTM(nn.Module): def __init__(self, input_dim, hidden_dim, batch_size, output_dim=1, dropout=0.0, num_layers=2): super(LSTM, self).__init__() self.input_dim = input_dim self.hidden_dim = hidden_dim self.batch_size = batch_size self.num_layers = num_layers # Define the LSTM layer self.lstm = nn.LSTM( self.input_dim, self.hidden_dim, self.num_layers, dropout=dropout) # Define the output layer self.linear = nn.Linear(self.hidden_dim, output_dim) def init_hidden(self): # This is what we'll initialise our hidden state as return (torch.zeros(self.num_layers, self.batch_size, self.hidden_dim), torch.zeros(self.num_layers, self.batch_size, self.hidden_dim)) def forward(self, input): # Forward pass through LSTM layer # shape of lstm_out: [input_size, batch_size, hidden_dim] # shape of self.hidden: (a, b), where a and b both # have shape (num_layers, batch_size, hidden_dim). lstm_out, self.hidden = self.lstm( input.view(-1, self.batch_size, self.input_dim)) # Only take the output from the final timetep # Can pass on the entirety of lstm_out to the next layer if it is a seq2seq prediction y_pred = self.linear(lstm_out[-1].view(self.batch_size, -1)) return y_pred.view(-1) class CLSTM(nn.Module): def __init__(self, input_dim, hidden_dim, batch_size, output_dim=1, num_lstm_layers=1, num_conv_layers=1, num_dense_layers=0, dropout_conv=0.2, dropout_lstm=0.2, kernel_size=3, padding=1, pool_kernel_size=2, input_channels=8, height=15, width=8): super(CLSTM, self).__init__() self.height = height self.width = width self.input_channels = input_channels self.input_dim = input_dim self.hidden_dim = hidden_dim self.batch_size = batch_size self.dropout_conv = dropout_conv self.dropout_lstm = dropout_lstm self.num_lstm_layers = num_lstm_layers self.num_conv_layers = num_conv_layers self.num_dense_layers = num_dense_layers self.padding = padding self.kernel_size = kernel_size self.pool_kernel_size = pool_kernel_size total_layers = self.num_lstm_layers + self.num_dense_layers + self.num_conv_layers if isinstance(self.hidden_dim, list): if len(self.hidden_dim) != total_layers: pad = nn.ConstantPad1d((0, total_layers), self.hidden_dim[-1]) self.hidden_dim = pad(torch.IntTensor(self.hidden_dim)) self.hidden_dim = self.hidden_dim.numpy().tolist() else: self.hidden_dim = [self.hidden_dim] * total_layers # compute out dimension and define layers out_11, out_22 = self.height, self.width # first input_channels is the number of channels in the data input_channels = self.input_channels self.convs = [] for output_channels in self.hidden_dim[:num_conv_layers]: # define the conv layers # output is (num_train, hidden_dim, out_1, out_2) self.convs.append( nn.Conv2d( input_channels, output_channels, self.kernel_size, padding=self.padding).cuda()) # input channels for text conv layers is the output channels # of the previous one input_channels = output_channels out_1 = int( np.floor((out_11 + 2 * self.padding - 1 * (self.kernel_size - 1) - 1) / 1 + 1)) out_2 = int( np.floor((out_22 + 2 * self.padding - 1 * (self.kernel_size - 1) - 1) / 1 + 1)) # out_11 = int( # np.floor((out_1 - 1 * # (self.pool_kernel_size - 1) - 1) / self.pool_kernel_size + 1)) # out_22 = int( # np.floor((out_2 - 1 * # (self.pool_kernel_size - 1) - 1) / self.pool_kernel_size + 1)) out_11, out_22 = out_1, out_2 self.relu = nn.ReLU() # self.max_pool = nn.MaxPool2d(kernel_size=pool_kernel_size) # output is (num_train, hidden_dim, out_11, out_22) self.dropout = nn.Dropout(p=self.dropout_conv) self.dim = output_channels * out_1 * out_2 # self.dim = output_channels * out_11 * out_22 # define dense layers before lstm self.dense = [] dim = self.dim for dense_dim in self.hidden_dim[self.num_conv_layers: self.num_dense_layers]: self.dense.append(nn.Linear(dim, dense_dim).cuda()) dim = dense_dim # Define the LSTM layer # hidden_dim of the LSTM is shared among all LSTM layers # so there must be only 1 hidden_dim attached to the LSTMs self.lstm_dim = dim self.lstm_hidden_dim = self.hidden_dim[-1] self.lstm = nn.LSTM( dim, self.lstm_hidden_dim, self.num_lstm_layers, dropout=self.dropout_lstm) # Define the output layer self.linear = nn.Linear(self.lstm_hidden_dim, output_dim) def init_hidden(self): return (torch.zeros(self.num_lstm_layers, self.batch_size, self.lstm_hidden_dim), torch.zeros( self.num_lstm_layers, self.batch_size, self.lstm_hidden_dim)) def forward(self, input): input_view = input.view(self.batch_size, self.height, self.width, self.input_channels) input_tr = input_view.permute([0, 3, 1, 2]) # sequentially apply conv layers for conv in self.convs: # input_tr = self.dropout(self.relu(self.max_pool(conv(input_tr)))) input_tr = self.dropout(self.relu(conv(input_tr))) conv_out = input_tr input_dense = conv_out for linear in self.dense: input_dense = self.dropout( linear(input_dense.view(self.batch_size, -1))) # Forward pass through LSTM layer # shape input to LSTM must be (input_size, batch_size, dim) # shape of lstm_out: [input_size, batch_size, hidden_dim] # shape of self.hidden: (a, b), where a and b both # have shape (num_lstm_layers, batch_size, hidden_dim). lstm_out, self.hidden = self.lstm( input_dense.view(-1, self.batch_size, self.lstm_dim)) # Only take the output from the final timetep # Can pass on the entirety of lstm_out to the next layer if it is a seq2seq prediction y_pred = self.linear(lstm_out[-1].view(self.batch_size, -1)) return y_pred.view(-1) class CNN(nn.Module): def __init__(self, input_dim, hidden_dim, batch_size, output_dim=1, num_conv_layers=1, num_dense_layers=1, dropout_conv=0.2, kernel_size=3, padding=1, pool_kernel_size=2, input_channels=8, height=15, width=8): super(CNN, self).__init__() self.height = height self.width = width self.input_channels = input_channels self.input_dim = input_dim self.hidden_dim = hidden_dim self.batch_size = batch_size self.num_conv_layers = num_conv_layers self.dropout_conv = dropout_conv self.padding = padding self.kernel_size = kernel_size self.pool_kernel_size = pool_kernel_size self.num_dense_layers = num_dense_layers total_layers = self.num_conv_layers + self.num_dense_layers if isinstance(self.hidden_dim, list): if len(self.hidden_dim) != total_layers: pad = nn.ConstantPad1d((0, total_layers), self.hidden_dim[-1]) self.hidden_dim = pad(torch.IntTensor(self.hidden_dim)) self.hidden_dim = self.hidden_dim.numpy().tolist() else: self.hidden_dim = [self.hidden_dim] * total_layers # compute out dimension and define layers out_11, out_22 = self.height, self.width self.convs = [] # first input_channels is the number of channels in the data input_channels = self.input_channels for output_channels in self.hidden_dim[:num_conv_layers]: # define the conv layers # output is (num_train, hidden_dim, out_1, out_2) self.convs.append( nn.Conv2d( input_channels, output_channels, self.kernel_size, padding=self.padding).cuda()) # input channels for text conv layers is the output channels # of the previous one input_channels = output_channels out_1 = int( np.floor((out_11 + 2 * self.padding - 1 * (self.kernel_size - 1) - 1) / 1 + 1)) out_2 = int( np.floor((out_22 + 2 * self.padding - 1 * (self.kernel_size - 1) - 1) / 1 + 1)) # out_11 = int( # np.floor((out_1 - 1 * # (self.pool_kernel_size - 1) - 1) / self.pool_kernel_size + 1)) # out_22 = int( # np.floor((out_2 - 1 * # (self.pool_kernel_size - 1) - 1) / self.pool_kernel_size + 1)) out_11, out_22 = out_1, out_2 self.relu = nn.ReLU() # self.max_pool = nn.MaxPool2d(kernel_size=pool_kernel_size) # output is (num_train, hidden_dim, out_11, out_22) self.dropout = nn.Dropout(p=self.dropout_conv) self.dim = output_channels * out_1 * out_2 # self.dim = output_channels * out_11 * out_22 # define dense layers self.dense = [] dim = self.dim for hidden_dim in self.hidden_dim[num_conv_layers:]: self.dense.append(nn.Linear(dim, hidden_dim).cuda()) dim = hidden_dim self.dense.append(nn.Linear(dim, output_dim).cuda()) # Define the output layer # self.linear = nn.Linear(self.dim, output_dim) def forward(self, input): input_view = input.view(self.batch_size, self.height, self.width, self.input_channels) input_tr = input_view.permute([0, 3, 1, 2]) # sequentially apply conv layers for conv in self.convs: # input_tr = self.dropout(self.relu(self.max_pool(conv(input_tr)))) input_tr = self.dropout(self.relu(conv(input_tr))) conv_out = input_tr input_dense = conv_out for linear in self.dense: input_dense = self.dropout( linear(input_dense.view(self.batch_size, -1))) y_pred = input_dense return y_pred.view(-1)

38.298361

94

0.568016

1,506

11,681

4.146746

0.088977

0.077822

0.06245

0.028183

0.877022

0.855244

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0.782226

0.742354

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0

0.022481

0.345005

11,681

304

95

38.424342

0.793752

0.217105

0

0.748768

0

1

0.039409

false

0

0.039409

0.009852

0.118227

0

null

0

1

0

1

0

null

0

7

6ea0672855b4e30adc8a5e2e8c518de05c0e64ef

68,685

py

Python

benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/SystemIPC/cmp_GemsFDTD/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/SystemIPC/cmp_GemsFDTD/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/_bigLittle_hrrs_spec_tugberk_ml/SystemIPC/cmp_GemsFDTD/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0699222, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.257609, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.391941, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.187215, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.324188, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.185931, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.697333, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.124965, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 5.79997, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.074046, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00678667, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0746711, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0501916, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.148717, 'Execution Unit/Register Files/Runtime Dynamic': 0.0569783, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.199592, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.544512, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.0920413, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0345155, 'Execution Unit/Runtime Dynamic': 1.96181, 'Execution Unit/Subthreshold Leakage': 1.83518, 'Execution Unit/Subthreshold Leakage with power gating': 0.709678, 'Gate Leakage': 0.372997, 'Instruction Fetch Unit/Area': 5.86007, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 0.000129392, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 0.000129392, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 0.000111995, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 4.29688e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000721006, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.00109179, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00126583, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0590479, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0482505, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 3.06915, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.117623, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.16388, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 5.43889, 'Instruction Fetch Unit/Runtime Dynamic': 0.332111, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932587, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.408542, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.127126, 'L2/Runtime Dynamic': 0.0372235, 'L2/Subthreshold Leakage': 0.834142, 'L2/Subthreshold Leakage with power gating': 0.401066, 'Load Store Unit/Area': 8.80969, 'Load Store Unit/Data Cache/Area': 6.84535, 'Load Store Unit/Data Cache/Gate Leakage': 0.0279261, 'Load Store Unit/Data Cache/Peak Dynamic': 3.29389, 'Load Store Unit/Data Cache/Runtime Dynamic': 1.04022, 'Load Store Unit/Data Cache/Subthreshold Leakage': 0.527675, 'Load Store Unit/Data Cache/Subthreshold Leakage with power gating': 0.25085, 'Load Store Unit/Gate Leakage': 0.0351387, 'Load Store Unit/LoadQ/Area': 0.0836782, 'Load Store Unit/LoadQ/Gate Leakage': 0.00059896, 'Load Store Unit/LoadQ/Peak Dynamic': 0.0665413, 'Load Store Unit/LoadQ/Runtime Dynamic': 0.0665412, 'Load Store Unit/LoadQ/Subthreshold Leakage': 0.00941961, 'Load Store Unit/LoadQ/Subthreshold Leakage with power gating': 0.00536918, 'Load Store Unit/Peak Dynamic': 3.60939, 'Load Store Unit/Runtime Dynamic': 1.43492, 'Load Store Unit/StoreQ/Area': 0.322079, 'Load Store Unit/StoreQ/Gate Leakage': 0.00329971, 'Load Store Unit/StoreQ/Peak Dynamic': 0.164079, 'Load Store Unit/StoreQ/Runtime Dynamic': 0.328158, 'Load Store Unit/StoreQ/Subthreshold Leakage': 0.0345621, 'Load Store Unit/StoreQ/Subthreshold Leakage with power gating': 0.0197004, 'Load Store Unit/Subthreshold Leakage': 0.591622, 'Load Store Unit/Subthreshold Leakage with power gating': 0.283406, 'Memory Management Unit/Area': 0.434579, 'Memory Management Unit/Dtlb/Area': 0.0879726, 'Memory Management Unit/Dtlb/Gate Leakage': 0.00088729, 'Memory Management Unit/Dtlb/Peak Dynamic': 0.0582323, 'Memory Management Unit/Dtlb/Runtime Dynamic': 0.0601337, 'Memory Management Unit/Dtlb/Subthreshold Leakage': 0.0155699, 'Memory Management Unit/Dtlb/Subthreshold Leakage with power gating': 0.00887485, 'Memory Management Unit/Gate Leakage': 0.00813591, 'Memory Management Unit/Itlb/Area': 0.301552, 'Memory Management Unit/Itlb/Gate Leakage': 0.00393464, 'Memory Management Unit/Itlb/Peak Dynamic': 0.190828, 'Memory Management Unit/Itlb/Runtime Dynamic': 0.0193061, 'Memory Management Unit/Itlb/Subthreshold Leakage': 0.0413758, 'Memory Management Unit/Itlb/Subthreshold Leakage with power gating': 0.0235842, 'Memory Management Unit/Peak Dynamic': 0.449999, 'Memory Management Unit/Runtime Dynamic': 0.0794398, 'Memory Management Unit/Subthreshold Leakage': 0.0769113, 'Memory Management Unit/Subthreshold Leakage with power gating': 0.0399462, 'Peak Dynamic': 19.9871, 'Renaming Unit/Area': 0.369768, 'Renaming Unit/FP Front End RAT/Area': 0.168486, 'Renaming Unit/FP Front End RAT/Gate Leakage': 0.00489731, 'Renaming Unit/FP Front End RAT/Peak Dynamic': 3.33511, 'Renaming Unit/FP Front End RAT/Runtime Dynamic': 0.258329, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage': 0.0437281, 'Renaming Unit/FP Front End RAT/Subthreshold Leakage with power gating': 0.024925, 'Renaming Unit/Free List/Area': 0.0414755, 'Renaming Unit/Free List/Gate Leakage': 4.15911e-05, 'Renaming Unit/Free List/Peak Dynamic': 0.0401324, 'Renaming Unit/Free List/Runtime Dynamic': 0.0126817, 'Renaming Unit/Free List/Subthreshold Leakage': 0.000670426, 'Renaming Unit/Free List/Subthreshold Leakage with power gating': 0.000377987, 'Renaming Unit/Gate Leakage': 0.00863632, 'Renaming Unit/Int Front End RAT/Area': 0.114751, 'Renaming Unit/Int Front End RAT/Gate Leakage': 0.00038343, 'Renaming Unit/Int Front End RAT/Peak Dynamic': 0.86945, 'Renaming Unit/Int Front End RAT/Runtime Dynamic': 0.0939102, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage': 0.00611897, 'Renaming Unit/Int Front End RAT/Subthreshold Leakage with power gating': 0.00348781, 'Renaming Unit/Peak Dynamic': 4.56169, 'Renaming Unit/Runtime Dynamic': 0.364921, 'Renaming Unit/Subthreshold Leakage': 0.070483, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0362779, 'Runtime Dynamic': 4.21042, 'Subthreshold Leakage': 6.21877, 'Subthreshold Leakage with power gating': 2.58311}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0263559, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.22339, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.139668, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.000977433, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.04181, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.0546275, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.0143453, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00810519, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00568913, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 0.805223, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00414562, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 1.6763, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.0881121, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0625755, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0355964, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.044476, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.187216, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.0410637, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.15066, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0263863, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00229132, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0265443, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0169457, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.0529306, 'Execution Unit/Register Files/Runtime Dynamic': 0.019237, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0390912, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00537402, 'Execution Unit/Results Broadcast Bus/Peak Dynamic': 0.0625118, 'Execution Unit/Results Broadcast Bus/Runtime Dynamic': 0.164479, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage': 0.081478, 'Execution Unit/Results Broadcast Bus/Subthreshold Leakage with power gating': 0.0305543, 'Execution Unit/Runtime Dynamic': 0.999699, 'Execution Unit/Subthreshold Leakage': 1.79543, 'Execution Unit/Subthreshold Leakage with power gating': 0.688821, 'Gate Leakage': 0.368936, 'Instruction Fetch Unit/Area': 5.85939, 'Instruction Fetch Unit/Branch Predictor/Area': 0.138516, 'Instruction Fetch Unit/Branch Predictor/Chooser/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Chooser/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Chooser/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Chooser/Runtime Dynamic': 4.05644e-05, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Chooser/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/Gate Leakage': 0.000757657, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Area': 0.0435221, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Gate Leakage': 0.000278362, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Peak Dynamic': 0.0168831, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Runtime Dynamic': 4.05644e-05, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 3.53757e-05, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak Dynamic': 0.00527447, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Runtime Dynamic': 1.37187e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage': 0.00181347, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Subthreshold Leakage with power gating': 0.000957045, 'Instruction Fetch Unit/Branch Predictor/Peak Dynamic': 0.0597838, 'Instruction Fetch Unit/Branch Predictor/RAS/Area': 0.0105732, 'Instruction Fetch Unit/Branch Predictor/RAS/Gate Leakage': 4.63858e-05, 'Instruction Fetch Unit/Branch Predictor/RAS/Peak Dynamic': 0.0117602, 'Instruction Fetch Unit/Branch Predictor/RAS/Runtime Dynamic': 0.000243427, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage': 0.000932505, 'Instruction Fetch Unit/Branch Predictor/RAS/Subthreshold Leakage with power gating': 0.000494733, 'Instruction Fetch Unit/Branch Predictor/Runtime Dynamic': 0.000359931, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage': 0.0199703, 'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00038735, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0162904, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage with power gating': 0.000701682, 'Instruction Fetch Unit/Instruction Cache/Area': 3.14635, 'Instruction Fetch Unit/Instruction Cache/Gate Leakage': 0.029931, 'Instruction Fetch Unit/Instruction Cache/Peak Dynamic': 1.03621, 'Instruction Fetch Unit/Instruction Cache/Runtime Dynamic': 0.0381479, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage': 0.367022, 'Instruction Fetch Unit/Instruction Cache/Subthreshold Leakage with power gating': 0.180386, 'Instruction Fetch Unit/Instruction Decoder/Area': 1.85799, 'Instruction Fetch Unit/Instruction Decoder/Gate Leakage': 0.0222493, 'Instruction Fetch Unit/Instruction Decoder/Peak Dynamic': 1.37404, 'Instruction Fetch Unit/Instruction Decoder/Runtime Dynamic': 0.0553294, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage': 0.442943, 'Instruction Fetch Unit/Instruction Decoder/Subthreshold Leakage with power gating': 0.166104, 'Instruction Fetch Unit/Peak Dynamic': 3.30501, 'Instruction Fetch Unit/Runtime Dynamic': 0.110515, 'Instruction Fetch Unit/Subthreshold Leakage': 0.932286, 'Instruction Fetch Unit/Subthreshold Leakage with power gating': 0.40843, 'L2/Area': 4.53318, 'L2/Gate Leakage': 0.015464, 'L2/Peak Dynamic': 0.0425415, 'L2/Runtime Dynamic': 0.0128499, 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'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0204913, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.218784, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.117108, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.120359, 'Execution Unit/Instruction Scheduler/Area': 1.66526, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.275653, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate 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'Execution Unit/Instruction Scheduler/Peak Dynamic': 3.82262, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.584388, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.00056608, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.10451, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.0376575, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.00906853, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00364446, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 0.158514, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.0859892, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.047346, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.0349451, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 4.0937, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0221242, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.00194005, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0214383, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0143478, 'Execution Unit/Register 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3.56099e-05, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage': 0.00759719, 'Instruction Fetch Unit/Branch Predictor/Global Predictor/Subthreshold Leakage with power gating': 0.0039236, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Area': 0.0257064, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Gate Leakage': 0.000154548, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Peak Dynamic': 0.0142575, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Runtime Dynamic': 3.0896e-05, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage': 0.00384344, 'Instruction Fetch Unit/Branch Predictor/L1_Local Predictor/Subthreshold Leakage with power gating': 0.00198631, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Area': 0.0151917, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Gate Leakage': 8.00196e-05, 'Instruction Fetch Unit/Branch Predictor/L2_Local Predictor/Peak 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'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.000345715, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0137929, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction 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'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 1.54955, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0167229, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.215823, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.107395, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold 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6ec9b1c071ae2ec2294afd58051789021b6fded2

23,810

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Python

user_service_sdk/api/user_admin/user_admin_client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

5

2019-07-31T04:11:05.000Z

2021-01-07T03:23:20.000Z

user_service_sdk/api/user_admin/user_admin_client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

null

user_service_sdk/api/user_admin/user_admin_client.py

easyopsapis/easyops-api-python

adf6e3bad33fa6266b5fa0a449dd4ac42f8447d0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import sys import user_service_sdk.api.user_admin.alter_password_pb2 import google.protobuf.empty_pb2 import user_service_sdk.api.user_admin.alter_self_password_pb2 import user_service_sdk.api.user_admin.forgot_password_pb2 import user_service_sdk.api.user_admin.get_password_conf_pb2 import user_service_sdk.api.user_admin.get_user_info_pb2 import google.protobuf.struct_pb2 import user_service_sdk.api.user_admin.list_groups_id_name_pb2 import user_service_sdk.api.user_admin.list_users_pb2 import user_service_sdk.api.user_admin.list_users_id_nick_pb2 import user_service_sdk.api.user_admin.reset_password_pb2 import user_service_sdk.api.user_admin.search_all_user_group_pb2 import user_service_sdk.api.user_admin.search_all_users_pb2 import user_service_sdk.api.user_admin.user_delete_pb2 import user_service_sdk.api.user_admin.user_login_info_pb2 import user_service_sdk.api.user_admin.user_register_pb2 import user_service_sdk.utils.http_util import google.protobuf.json_format class UserAdminClient(object): def __init__(self, server_ip="", server_port=0, service_name="", host=""): """ 初始化client :param server_ip: 指定sdk请求的server_ip，为空时走名字服务路由 :param server_port: 指定sdk请求的server_port，与server_ip一起使用, 为空时走名字服务路由 :param service_name: 指定sdk请求的service_name, 为空时按契约名称路由。如果server_ip和service_name同时设置，server_ip优先级更高 :param host: 指定sdk请求服务的host名称, 如cmdb.easyops-only.com """ if server_ip == "" and server_port != 0 or server_ip != "" and server_port == 0: raise Exception("server_ip和server_port必须同时指定") self._server_ip = server_ip self._server_port = server_port self._service_name = service_name self._host = host def alter_password(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.alter_password_pb2.AlterPasswordRequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 修改密码[内部] :param request: alter_password请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.AlterPassword" uri = "/api/v1/users/alter_password" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def alter_self_password(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.alter_self_password_pb2.AlterSelfPasswordRequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 修改自己密码 :param request: alter_self_password请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.AlterSelfPassword" uri = "/api/v1/users/password" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def forgot_password(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.forgot_password_pb2.ForgotPasswordRequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 用户忘记密码 :param request: forgot_password请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.ForgotPassword" uri = "/api/v1/users/password/forgot" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def get_password_config(self, request, org, user, timeout=10): # type: (google.protobuf.empty_pb2.Empty, int, str, int) -> user_service_sdk.api.user_admin.get_password_conf_pb2.GetPasswordConfigResponse """ 获取密码配置 :param request: get_password_config请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: user_service_sdk.api.user_admin.get_password_conf_pb2.GetPasswordConfigResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.GetPasswordConfig" uri = "/api/v1/users/passconf" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = user_service_sdk.api.user_admin.get_password_conf_pb2.GetPasswordConfigResponse() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def get_user_info(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.get_user_info_pb2.GetUserInfoRequest, int, str, int) -> google.protobuf.struct_pb2.Struct """ 获取用户信息 :param request: get_user_info请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.struct_pb2.Struct """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.GetUserInfo" uri = "/api/v1/users/detail/{username}".format( username=request.username, ) requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.struct_pb2.Struct() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def list_groups_id_name(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.list_groups_id_name_pb2.ListGroupsIdNameRequest, int, str, int) -> google.protobuf.struct_pb2.Struct """ 获取用户Id与name映射 :param request: list_groups_id_name请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.struct_pb2.Struct """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.ListGroupsIdName" uri = "/api/v1/groups/id_map_name" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.struct_pb2.Struct() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def list_users_info(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.list_users_pb2.ListUsersInfoRequest, int, str, int) -> user_service_sdk.api.user_admin.list_users_pb2.ListUsersInfoResponse """ 获取用户信息列表 :param request: list_users_info请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: user_service_sdk.api.user_admin.list_users_pb2.ListUsersInfoResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.ListUsersInfo" uri = "/api/v1/users" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = user_service_sdk.api.user_admin.list_users_pb2.ListUsersInfoResponse() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def list_users_id_nick(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.list_users_id_nick_pb2.ListUsersIdNickRequest, int, str, int) -> google.protobuf.struct_pb2.Struct """ 获取用户name与昵称映射 :param request: list_users_id_nick请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.struct_pb2.Struct """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.ListUsersIdNick" uri = "/api/v1/users/id_map_nickname" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.struct_pb2.Struct() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def reset_password(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.reset_password_pb2.ResetPasswordRequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 用户重置密码 :param request: reset_password请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.ResetPassword" uri = "/api/v1/users/password/reset" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def search_all_user_group(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.search_all_user_group_pb2.SearchAllUserGroupRequest, int, str, int) -> user_service_sdk.api.user_admin.search_all_user_group_pb2.SearchAllUserGroupResponse """ 搜索所有用户组列表 :param request: search_all_user_group请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: user_service_sdk.api.user_admin.search_all_user_group_pb2.SearchAllUserGroupResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.SearchAllUserGroup" uri = "/api/v1/users/group/all" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = user_service_sdk.api.user_admin.search_all_user_group_pb2.SearchAllUserGroupResponse() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def search_all_users_info(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.search_all_users_pb2.SearchAllUsersInfoRequest, int, str, int) -> user_service_sdk.api.user_admin.search_all_users_pb2.SearchAllUsersInfoResponse """ 搜索所有用户信息列表 :param request: search_all_users_info请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: user_service_sdk.api.user_admin.search_all_users_pb2.SearchAllUsersInfoResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.SearchAllUsersInfo" uri = "/api/v1/users/all" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = user_service_sdk.api.user_admin.search_all_users_pb2.SearchAllUsersInfoResponse() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def user_delete(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.user_delete_pb2.UserDeleteRequest, int, str, int) -> google.protobuf.empty_pb2.Empty """ 用户删除[内部] :param request: user_delete请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: google.protobuf.empty_pb2.Empty """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.UserDelete" uri = "/api/v1/users/{username}".format( username=request.username, ) requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="DELETE", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = google.protobuf.empty_pb2.Empty() google.protobuf.json_format.ParseDict(rsp_obj, rsp, ignore_unknown_fields=True) return rsp def get_user_login_info(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.user_login_info_pb2.GetUserLoginInfoRequest, int, str, int) -> user_service_sdk.api.user_admin.user_login_info_pb2.GetUserLoginInfoResponse """ 查询用户登录信息 :param request: get_user_login_info请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: user_service_sdk.api.user_admin.user_login_info_pb2.GetUserLoginInfoResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.GetUserLoginInfo" uri = "/api/v1/user/login_info" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="GET", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = user_service_sdk.api.user_admin.user_login_info_pb2.GetUserLoginInfoResponse() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp def user_register(self, request, org, user, timeout=10): # type: (user_service_sdk.api.user_admin.user_register_pb2.UserRegisterRequest, int, str, int) -> user_service_sdk.api.user_admin.user_register_pb2.UserRegisterResponse """ 用户注册[内部] :param request: user_register请求 :param org: 客户的org编号，为数字 :param user: 调用api使用的用户名 :param timeout: 调用超时时间，单位秒 :return: user_service_sdk.api.user_admin.user_register_pb2.UserRegisterResponse """ headers = {"org": org, "user": user} route_name = "" server_ip = self._server_ip if self._service_name != "": route_name = self._service_name elif self._server_ip != "": route_name = "easyops.api.user_service.user_admin.UserRegister" uri = "/api/v1/users/register" requestParam = request rsp_obj = user_service_sdk.utils.http_util.do_api_request( method="POST", src_name="logic.user_service_sdk", dst_name=route_name, server_ip=server_ip, server_port=self._server_port, host=self._host, uri=uri, params=google.protobuf.json_format.MessageToDict( requestParam, preserving_proto_field_name=True), headers=headers, timeout=timeout, ) rsp = user_service_sdk.api.user_admin.user_register_pb2.UserRegisterResponse() google.protobuf.json_format.ParseDict(rsp_obj["data"], rsp, ignore_unknown_fields=True) return rsp

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6edaad3ab088b634a88f433402a343d534c73f70

12,955

py

Python

app/mock/products.py

algorithm-ssau/coursework

9bc463ea2f096fda0a891e1cb26bbe34ae73da50

[ "MIT" ]

4

2020-04-03T05:16:54.000Z

2020-06-04T18:39:40.000Z

app/mock/products.py

algorithm-ssau/coursework

9bc463ea2f096fda0a891e1cb26bbe34ae73da50

[ "MIT" ]

16

2020-04-14T21:50:04.000Z

2021-06-14T01:16:41.000Z

app/mock/products.py

algorithm-ssau/coursework

9bc463ea2f096fda0a891e1cb26bbe34ae73da50

[ "MIT" ]

1

2020-05-26T11:27:55.000Z

MOCK_SALE = [{ "id": 1, "title": "Demix Magus M", "description": "Lightweight and flexible Demix Magus training sneakers. Special grooves on the sole, located in places of the anatomical fold of the foot, allow you to move naturally. Ultra-lightweight knitwear with a special weave provides air circulation and also effectively removes excess heat and moisture. EVA soles and modern upper materials guarantee a low weight model.", # pylint: disable=line-too-long "tags": ["Fashion", "Sneakers", "Shoes"], "price": { "min": 1126, "max": 1234 } }, { "id": 2, "title": "Nike Star Runner 2", "description": "Comfortable and functional Nike Star Runner 2 sneakers are great for running. The Phylon midsole effectively dampens shock loads. Outsole grooves for maximum natural movement. Rubber outsole for reliable grip. The upper is made of elastic breathable fabric, supplemented with leather elements, fixes the foot and guarantees comfort while running. Soft inserts in the ankle and on the tongue provide additional comfort.", # pylint: disable=line-too-long "tags": ["Fashion", "Men", "Autumn"], "price": { "min": 1126, "max": 2232 } }, { "id": 3, "title": "Skechers Go Run 600", "description": "Skechers Go Run 600 Divert Running Shoes The model is designed for neutral and hypopronization. Sole made of lightweight 5GEN material quickly restores shape after deformation, providing comfort and additional cushioning while running. The special GOGA Run insole has good cushioning properties. The antibacterial properties of the insole protect against unpleasant odors.", # pylint: disable=line-too-long "tags": ["Men", "Running", "Leather"], "price": { "min": 1156, "max": 1334 } }, { "id": 4, "title": "Skechers Dynamight 2.0-Rayhill", "description": "Comfortable and soft Dynimate 2 sneakers from Skechers are the optimal combination of comfort and original design. A special Memory Foam insole made of soft foam follows the contour of the foot, providing additional comfort, and quickly regains shape after deformation. The upper of the shoe is made of well-ventilated textile material.", # pylint: disable=line-too-long "tags": ["Running", "Leather", "Summer"], "price": { "min": 1120, "max": 5234 } }, { "id": 5, "title": "Nike Tanjun", "description": "In Japanese, tanjun means simplicity. Nike Tanjun sporty men's sneakers mean simplicity at its best. A smooth, seamless upper provides comfortable wearing. Flexible textile upper for air circulation. Lightweight outsole provides good cushioning.", # pylint: disable=line-too-long "tags": ["Shoes", "Winter", "Men"], "price": { "min": 1826, "max": 2423 } }, { "id": 6, "title": "Puma Vista", "description": "Vista Mid WTR sneakers inspired by the legendary 70s collection. The warmed model in sports style is irreplaceable in cold weather. Fur lining perfectly protects from cold. Anatomical insole SoftFoam + provides maximum comfort. Combination of genuine leather and suede for a spectacular look. Insole with antibacterial impregnation for freshness of the legs.", # pylint: disable=line-too-long "tags": ["Winter", "Men", "Running"], "price": { "min": 1626, "max": 1274 } }, { "id": 7, "title": "Fila Tornado 3.0", "description": "Comfortable Fila TORNADO LOW 3.0 sneakers are perfect for sports lovers. Slip design allows for quick change of shoes. Anatomical insole for added comfort. The EVA midsole effectively dampens shock loads while walking. An improved sole protector for reliable traction. Reflectors will make walking in the dark or in bad weather safer. Sole material has high wear-resistant properties.", # pylint: disable=line-too-long "tags": ["Fashion", "Winter", "Shoes"], "price": { "min": 1196, "max": 1234 } }, { "id": 8, "title": "Fila Ray", "description": "Light and comfortable Fila Ray sneakers are made in a modern sports style with retro and classic elements. The EVA midsole absorbs shock when walking. Sole material has high wear-resistant properties. EVA outsole ensures low shoe weight.", # pylint: disable=line-too-long "tags": ["Winter", "Autumn", "Men"], "price": { "min": 1526, "max": 1634 } }, { "id": 9, "title": "Kappa Neoclassic 2.0", "description": "The warmed Kappa Neoclassic 2 sneakers perfectly complete the look in a sporty style and warm in cold weather. A tall model with a warm fleece lining helps keep you warm. Genuine leather looks great and comfortable to wear. EVA midsole material dampens shock when walking. Rubber outsole provides excellent traction. Thanks to a wearproof outsole, sneakers will last you longer.", # pylint: disable=line-too-long "tags": ["Shoes", "Winter", "Men"], "price": { "min": 1826, "max": 3294 } }, { "id": 10, "title": "ASICS Gel-Rocket 9", "description": "Asics GEL-ROCKET 9 volleyball shoes are the perfect combination of comfort and stability. The tech model will be a great choice for indoor games. Forefoot Gel gel inserts in the front part and EVA midsole effectively absorb shock loads. Mesh material for optimal air exchange and a comfortable microclimate. Trusstic technology for extra foot support. A removable EVA footbed ensures comfortable foot position.", # pylint: disable=line-too-long "tags": ["Fashion", "Sneakers", "Shoes"], "price": { "min": 2126, "max": 2234 } }, { "id": 11, "title": "Nike Zoom Zero", "description": "The modified Nike Court Air Zoom Zero tennis sneakers are a great choice for games and workouts. The full-length insert of the Nike Zoom Air sneakers provides excellent cushioning. The one-piece upper provides air exchange and a comfortable fit. A well thought-out lacing system for a good fit.", # pylint: disable=line-too-long "tags": ["Summer", "Men", "Fashion"], "price": { "min": 6126, "max": 9234 } }, { "id": 12, "title": "Puma Wired", "description": "Comfortable Puma sneakers for a sporty outing. SoftFoam + foam insole for comfort and extra cushioning. The top is made of mesh breathable material. IMEVA wavy midsole absorbs shock loads.", # pylint: disable=line-too-long "tags": ["Fashion", "Men", "Autumn"], "price": { "min": 2126, "max": 3244 } }] MOCK_EXPLORE = [{ "id": 1, "title": "Demix Magus M", "description": "Lightweight and flexible Demix Magus training sneakers. Special grooves on the sole, located in places of the anatomical fold of the foot, allow you to move naturally. Ultra-lightweight knitwear with a special weave provides air circulation and also effectively removes excess heat and moisture. EVA soles and modern upper materials guarantee a low weight model.", # pylint: disable=line-too-long "tags": ["Fashion", "Sneakers", "Shoes"], "price": { "min": 1234, "max": 1234 } }, { "id": 2, "title": "Nike Star Runner 2", "description": "Comfortable and functional Nike Star Runner 2 sneakers are great for running. The Phylon midsole effectively dampens shock loads. Outsole grooves for maximum natural movement. Rubber outsole for reliable grip. The upper is made of elastic breathable fabric, supplemented with leather elements, fixes the foot and guarantees comfort while running. Soft inserts in the ankle and on the tongue provide additional comfort.", # pylint: disable=line-too-long "tags": ["Fashion", "Men", "Autumn"], "price": { "min": 2232, "max": 2232 } }, { "id": 3, "title": "Skechers Go Run 600", "description": "Skechers Go Run 600 Divert Running Shoes The model is designed for neutral and hypopronization. Sole made of lightweight 5GEN material quickly restores shape after deformation, providing comfort and additional cushioning while running. The special GOGA Run insole has good cushioning properties. The antibacterial properties of the insole protect against unpleasant odors.", # pylint: disable=line-too-long "tags": ["Men", "Running", "Leather"], "price": { "min": 1334, "max": 1334 } }, { "id": 4, "title": "Skechers Dynamight 2.0-Rayhill", "description": "Comfortable and soft Dynimate 2 sneakers from Skechers are the optimal combination of comfort and original design. A special Memory Foam insole made of soft foam follows the contour of the foot, providing additional comfort, and quickly regains shape after deformation. The upper of the shoe is made of well-ventilated textile material.", # pylint: disable=line-too-long "tags": ["Running", "Leather", "Summer"], "price": { "min": 5234, "max": 5234 } }, { "id": 5, "title": "Nike Tanjun", "description": "In Japanese, tanjun means simplicity. Nike Tanjun sporty men's sneakers mean simplicity at its best. A smooth, seamless upper provides comfortable wearing. Flexible textile upper for air circulation. Lightweight outsole provides good cushioning.", # pylint: disable=line-too-long "tags": ["Shoes", "Winter", "Men"], "price": { "min": 2423, "max": 2423 } }, { "id": 6, "title": "Puma Vista", "description": "Vista Mid WTR sneakers inspired by the legendary 70s collection. The warmed model in sports style is irreplaceable in cold weather. Fur lining perfectly protects from cold. Anatomical insole SoftFoam + provides maximum comfort. Combination of genuine leather and suede for a spectacular look. Insole with antibacterial impregnation for freshness of the legs.", # pylint: disable=line-too-long "tags": ["Winter", "Men", "Running"], "price": { "min": 1274, "max": 1274 } }, { "id": 7, "title": "Fila Tornado 3.0", "description": "Comfortable Fila TORNADO LOW 3.0 sneakers are perfect for sports lovers. Slip design allows for quick change of shoes. Anatomical insole for added comfort. The EVA midsole effectively dampens shock loads while walking. An improved sole protector for reliable traction. Reflectors will make walking in the dark or in bad weather safer. Sole material has high wear-resistant properties.", # pylint: disable=line-too-long "tags": ["Fashion", "Winter", "Shoes"], "price": { "min": 1234, "max": 1234 } }, { "id": 8, "title": "Fila Ray", "description": "Light and comfortable Fila Ray sneakers are made in a modern sports style with retro and classic elements. The EVA midsole absorbs shock when walking. Sole material has high wear-resistant properties. EASY EVA outsole ensures low shoe weight.", # pylint: disable=line-too-long "tags": ["Winter", "Autumn", "Men"], "price": { "min": 1634, "max": 1634 } }, { "id": 9, "title": "Kappa Neoclassic 2.0", "description": "The warmed Kappa Neoclassic 2 sneakers perfectly complete the look in a sporty style and warm in cold weather. A tall model with a warm fleece lining helps keep you warm. Genuine leather looks great and comfortable to wear. EVA midsole material dampens shock when walking. Rubber outsole provides excellent traction. Thanks to a wearproof outsole, sneakers will last you longer.", # pylint: disable=line-too-long "tags": ["Shoes", "Winter", "Men"], "price": { "min": 3294, "max": 3294 } }, { "id": 10, "title": "Nike Zoom Zero", "description": "The modified Nike Court Air Zoom Zero tennis sneakers are a great choice for games and workouts. The full-length insert of the Nike Zoom Air sneakers provides excellent cushioning. The one-piece upper provides air exchange and a comfortable fit. A well thought-out lacing system for a good fit.", # pylint: disable=line-too-long "tags": ["Summer", "Men", "Fashion"], "price": { "min": 2234, "max": 2234 } }, { "id": 11, "title": "Nike Zoom Zero", "description": "The modified Nike Court Air Zoom Zero tennis sneakers are a great choice for games and workouts. The full-length insert of the Nike Zoom Air sneakers provides excellent cushioning. The one-piece upper provides air exchange and a comfortable fit. A well thought-out lacing system for a good fit.", # pylint: disable=line-too-long "tags": ["Summer", "Men", "Fashion"], "price": { "min": 9234, "max": 9234 } }, { "id": 12, "title": "Puma Wired", "description": "Comfortable Puma sneakers for a sporty outing. SoftFoam + foam insole for comfort and extra cushioning. The top is made of mesh breathable material. IMEVA wavy midsole absorbs shock loads.", # pylint: disable=line-too-long "tags": ["Fashion", "Men", "Autumn"], "price": { "min": 3244, "max": 3244 } }]

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6eedb184ddd6055943755d14318941e72f227ab0

75

py

Python

vindinium/bots/__init__.py

IntelliAgent/vindinium-python-bot

0f101740ecaabf300d1f3768e236dfe9cae966b7

[ "WTFPL" ]

null

vindinium/bots/__init__.py

IntelliAgent/vindinium-python-bot

0f101740ecaabf300d1f3768e236dfe9cae966b7

[ "WTFPL" ]

null

vindinium/bots/__init__.py

IntelliAgent/vindinium-python-bot

0f101740ecaabf300d1f3768e236dfe9cae966b7

[ "WTFPL" ]

null

from .raw_bot import * from .base_bot import * from .russelbot import *

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py

Python

market_data/test/test_replayed_market_data.py

alphamatic/amp

5018137097159415c10eaa659a2e0de8c4e403d4

[ "BSD-3-Clause" ]

5

2021-08-10T23:16:44.000Z

2022-03-17T17:27:00.000Z

market_data/test/test_replayed_market_data.py

alphamatic/amp

5018137097159415c10eaa659a2e0de8c4e403d4

[ "BSD-3-Clause" ]

330

2021-06-10T17:28:22.000Z

2022-03-31T00:55:48.000Z

market_data/test/test_replayed_market_data.py

alphamatic/amp

5018137097159415c10eaa659a2e0de8c4e403d4

[ "BSD-3-Clause" ]

6

2021-06-10T17:20:32.000Z

2022-03-28T08:08:03.000Z

import logging from typing import Any, Callable, Tuple import pandas as pd import helpers.hasyncio as hasynci import helpers.hprint as hprint import helpers.hunit_test as hunitest import market_data.market_data_example as mdmadaex import market_data.replayed_market_data as mdremada _LOG = logging.getLogger(__name__) def _check_get_data( self_: Any, initial_replayed_delay: int, func: Callable, expected_df_as_str: str, ) -> mdremada.ReplayedMarketData: """ - Build `ReplayedTimePriceInterval` - Execute the function `get_data*` in `func` - Check actual output against expected. """ with hasynci.solipsism_context() as event_loop: # Build ReplayedTimePriceInterval. start_datetime = pd.Timestamp("2000-01-01 09:30:00-05:00") end_datetime = pd.Timestamp("2000-01-01 10:29:00-05:00") asset_ids = [1000] (market_data, _,) = mdmadaex.get_ReplayedTimeMarketData_example2( event_loop, start_datetime, end_datetime, initial_replayed_delay, asset_ids # TODO(gp): initial_replayed_delay -> initial_delay_in_mins (or in secs). ) # Execute function under test. actual_df = func(market_data) # Check. actual_df = actual_df[sorted(actual_df.columns)] actual_df_as_str = hprint.df_to_short_str("df", actual_df) _LOG.info("-> %s", actual_df_as_str) self_.assert_equal( actual_df_as_str, expected_df_as_str, dedent=True, fuzzy_match=True, ) return market_data class TestReplayedMarketData1(hunitest.TestCase): def check_last_end_time( self, market_data: mdremada.ReplayedMarketData, expected_last_end_time: pd.Timestamp, expected_is_online: bool, ) -> None: """ Check output of `get_last_end_time()` and `is_online()`. """ # last_end_time = market_data.get_last_end_time() _LOG.info("-> last_end_time=%s", last_end_time) self.assertEqual(last_end_time, expected_last_end_time) # is_online = market_data.is_online() _LOG.info("-> is_online=%s", is_online) self.assertEqual(is_online, expected_is_online) def test_get_data1(self) -> None: """ - Set the current time to 9:35 - Get the last 5 mins of data - The returned data should be in [9:30, 9:35] """ initial_replayed_delay = 5 # period = "last_5mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:31:00-05:00, 2000-01-01 09:35:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(5, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:31:00-05:00 1000 999.874540 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 1000 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 ... 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 1000 1000.655907 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00 1000 1000.311925 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:35:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data2(self) -> None: """ Same as test_get_data1() but with normalize_data=False. """ initial_replayed_delay = 5 # period = "last_5mins" normalize_data = False func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [0, 4] df.columns=asset_id,end_datetime,last_price,start_datetime,timestamp_db df.shape=(5, 5) asset_id end_datetime last_price start_datetime timestamp_db 0 1000 2000-01-01 09:31:00-05:00 999.874540 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00 1 1000 2000-01-01 09:32:00-05:00 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2 1000 2000-01-01 09:33:00-05:00 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 ... 2 1000 2000-01-01 09:33:00-05:00 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 3 1000 2000-01-01 09:34:00-05:00 1000.655907 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 4 1000 2000-01-01 09:35:00-05:00 1000.311925 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:35:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data3(self) -> None: """ - Set the current time to 9:35 - Get the last 1 min of data - The returned data should be at 9:35 """ initial_replayed_delay = 5 # period = "last_1min" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:35:00-05:00, 2000-01-01 09:35:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(1, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:35:00-05:00 1000 1000.311925 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:35:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data4(self) -> None: """ - Set the current time to 9:50 - Get the last 10 mins of data - The returned data should be in [9:40, 9:50] """ initial_replayed_delay = 20 # period = "last_10mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:41:00-05:00, 2000-01-01 09:50:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(10, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:41:00-05:00 1000 999.721952 2000-01-01 09:40:00-05:00 2000-01-01 09:41:00-05:00 2000-01-01 09:42:00-05:00 1000 1000.191862 2000-01-01 09:41:00-05:00 2000-01-01 09:42:00-05:00 2000-01-01 09:43:00-05:00 1000 1000.524304 2000-01-01 09:42:00-05:00 2000-01-01 09:43:00-05:00 ... 2000-01-01 09:48:00-05:00 1000 999.430872 2000-01-01 09:47:00-05:00 2000-01-01 09:48:00-05:00 2000-01-01 09:49:00-05:00 1000 999.362817 2000-01-01 09:48:00-05:00 2000-01-01 09:49:00-05:00 2000-01-01 09:50:00-05:00 1000 999.154046 2000-01-01 09:49:00-05:00 2000-01-01 09:50:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:50:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data5(self) -> None: """ - Set the current time to 10:00 - Get data for the last day - The returned data should be in [9:30, 10:00] """ initial_replayed_delay = 30 # period = "last_day" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:31:00-05:00, 2000-01-01 10:00:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(30, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:31:00-05:00 1000 999.874540 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 1000 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 ... 2000-01-01 09:58:00-05:00 1000 998.519053 2000-01-01 09:57:00-05:00 2000-01-01 09:58:00-05:00 2000-01-01 09:59:00-05:00 1000 998.611468 2000-01-01 09:58:00-05:00 2000-01-01 09:59:00-05:00 2000-01-01 10:00:00-05:00 1000 998.157918 2000-01-01 09:59:00-05:00 2000-01-01 10:00:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 10:00:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data6(self) -> None: """ - Set the current time to 10:00 - Get all data for specified period - The returned data should be in [9:30, 10:00] """ initial_replayed_delay = 30 # period = "all" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:31:00-05:00, 2000-01-01 10:00:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(30, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:31:00-05:00 1000 999.874540 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 1000 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 ... 2000-01-01 09:58:00-05:00 1000 998.519053 2000-01-01 09:57:00-05:00 2000-01-01 09:58:00-05:00 2000-01-01 09:59:00-05:00 1000 998.611468 2000-01-01 09:58:00-05:00 2000-01-01 09:59:00-05:00 2000-01-01 10:00:00-05:00 1000 998.157918 2000-01-01 09:59:00-05:00 2000-01-01 10:00:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 10:00:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data_for_minute_0(self) -> None: """ The replayed time starts at the same time of the data to represent the first minute of trading. """ initial_replayed_delay = 0 # period = "last_5mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # Check. expected_df_as_str = """ # df= df.shape=(0, 4) Empty DataFrame Columns: [asset_id, last_price, start_datetime, timestamp_db] Index: []""" market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = None expected_is_online = False self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data_for_minute_1(self) -> None: """ The replayed time starts one minute after the data to represent the first minute of trading. """ initial_replayed_delay = 1 period = "last_5mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:31:00-05:00, 2000-01-01 09:31:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(1, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:31:00-05:00 1000 999.87454 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:31:00-0500") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data_for_minute_3(self) -> None: """ The replayed time starts 3 minutes after the opening of the trading day. """ initial_replayed_delay = 3 # period = "last_5mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # Check. # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:31:00-05:00, 2000-01-01 09:33:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(3, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:31:00-05:00 1000 999.874540 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 1000 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:33:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data_for_minute_6(self) -> None: """ The replayed time starts 6 minutes after the opening of the trading day. """ initial_replayed_delay = 6 # period = "last_5mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # Check. # pylint: disable=line-too-long expected_df_as_str = """# df= df.index in [2000-01-01 09:32:00-05:00, 2000-01-01 09:36:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(5, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:32:00-05:00 1000 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 1000 1000.655907 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 ... 2000-01-01 09:34:00-05:00 1000 1000.655907 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00 1000 1000.311925 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00 2000-01-01 09:36:00-05:00 1000 999.967920 2000-01-01 09:35:00-05:00 2000-01-01 09:36:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 09:36:00-05:00") expected_is_online = True self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) def test_get_data_for_minute_63(self) -> None: """ The replayed time starts 63 minutes after the opening of the trading day. """ initial_replayed_delay = 63 # period = "last_5mins" normalize_data = True func = lambda market_data: market_data.get_data_for_last_period( period, normalize_data=normalize_data ) # Check. # pylint: disable=line-too-long expected_df_as_str = """# df= df.index in [2000-01-01 10:29:00-05:00, 2000-01-01 10:30:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(2, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 10:29:00-05:00 1000 998.224716 2000-01-01 10:28:00-05:00 2000-01-01 10:29:00-05:00 2000-01-01 10:30:00-05:00 1000 998.050046 2000-01-01 10:29:00-05:00 2000-01-01 10:30:00-05:00""" # pylint: enable=line-too-long market_data = _check_get_data( self, initial_replayed_delay, func, expected_df_as_str ) # expected_last_end_time = pd.Timestamp("2000-01-01 10:30:00-0500") expected_is_online = False self.check_last_end_time( market_data, expected_last_end_time, expected_is_online ) # ############################################################################# class TestReplayedMarketData2(hunitest.TestCase): # TODO(gp): Add same tests for the SQL version. def test_get_data_for_interval1(self) -> None: """ - Start replaying time 5 minutes after the beginning of the day, i.e., the current time is 9:35. - Ask data for [9:30, 9:45] - The returned data is [9:30, 9:35]. """ # Start replaying time 5 minutes after the beginning of the day, so the # current time is 9:35. initial_replayed_delay = 5 # Ask data for 9:30 to 9:45. start_ts = pd.Timestamp("2000-01-01 09:30:00-05:00") end_ts = pd.Timestamp("2000-01-01 09:45:00-05:00") ts_col_name = "end_datetime" asset_ids = None normalize_data = True func = lambda market_data: market_data.get_data_for_interval( start_ts, end_ts, ts_col_name, asset_ids, normalize_data=normalize_data, ) # pylint: disable=line-too-long expected_df_as_str = """ # df= df.index in [2000-01-01 09:31:00-05:00, 2000-01-01 09:35:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(5, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:31:00-05:00 1000 999.874540 2000-01-01 09:30:00-05:00 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 1000 1000.325254 2000-01-01 09:31:00-05:00 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 ... 2000-01-01 09:33:00-05:00 1000 1000.557248 2000-01-01 09:32:00-05:00 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 1000 1000.655907 2000-01-01 09:33:00-05:00 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00 1000 1000.311925 2000-01-01 09:34:00-05:00 2000-01-01 09:35:00-05:00""" # pylint: enable=line-too-long _check_get_data(self, initial_replayed_delay, func, expected_df_as_str) def test_get_data_for_interval2(self) -> None: """ - Current time is 9:45 - Ask data in [9:35, 9:40] - The returned data is [9:30, 9:40]. """ initial_replayed_delay = 15 start_ts = pd.Timestamp("2000-01-01 09:35:00-05:00") end_ts = pd.Timestamp("2000-01-01 09:40:00-05:00") ts_col_name = "start_datetime" asset_ids = None normalize_data = True func = lambda market_data: market_data.get_data_for_interval( start_ts, end_ts, ts_col_name, asset_ids, normalize_data=normalize_data, ) # pylint: disable=line-too-long expected_df_as_str = r""" # df= df.index in [2000-01-01 09:36:00-05:00, 2000-01-01 09:40:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(5, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:36:00-05:00 1000 999.967920 2000-01-01 09:35:00-05:00 2000-01-01 09:36:00-05:00 2000-01-01 09:37:00-05:00 1000 999.526004 2000-01-01 09:36:00-05:00 2000-01-01 09:37:00-05:00 2000-01-01 09:38:00-05:00 1000 999.892180 2000-01-01 09:37:00-05:00 2000-01-01 09:38:00-05:00 ... 2000-01-01 09:38:00-05:00 1000 999.892180 2000-01-01 09:37:00-05:00 2000-01-01 09:38:00-05:00 2000-01-01 09:39:00-05:00 1000 999.993295 2000-01-01 09:38:00-05:00 2000-01-01 09:39:00-05:00 2000-01-01 09:40:00-05:00 1000 1000.201367 2000-01-01 09:39:00-05:00 2000-01-01 09:40:00-05:00""" # pylint: enable=line-too-long _check_get_data(self, initial_replayed_delay, func, expected_df_as_str) def test_get_data_at_timestamp1(self) -> None: """ - Current time is 9:45 - Ask data for 9:35 - The returned data is for 9:35 """ initial_replayed_delay = 15 ts = pd.Timestamp("2000-01-01 09:35:00-05:00") ts_col_name = "start_datetime" asset_ids = None normalize_data = True func = lambda market_data: market_data.get_data_at_timestamp( ts, ts_col_name, asset_ids, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = r""" # df= df.index in [2000-01-01 09:36:00-05:00, 2000-01-01 09:36:00-05:00] df.columns=asset_id,last_price,start_datetime,timestamp_db df.shape=(1, 4) asset_id last_price start_datetime timestamp_db end_datetime 2000-01-01 09:36:00-05:00 1000 999.96792 2000-01-01 09:35:00-05:00 2000-01-01 09:36:00-05:00""" # pylint: enable=line-too-long _check_get_data(self, initial_replayed_delay, func, expected_df_as_str) def test_get_data_at_timestamp2(self) -> None: """ - Current time is 9:45 - Ask data for 9:50 - The return data is empty """ initial_replayed_delay = 15 ts = pd.Timestamp("2000-01-01 09:50:00-05:00") ts_col_name = "start_datetime" asset_ids = None normalize_data = True func = lambda market_data: market_data.get_data_at_timestamp( ts, ts_col_name, asset_ids, normalize_data=normalize_data ) # pylint: disable=line-too-long expected_df_as_str = r""" # df= df.shape=(0, 4) Empty DataFrame Columns: [asset_id, last_price, start_datetime, timestamp_db] Index: []""" # pylint: enable=line-too-long _check_get_data(self, initial_replayed_delay, func, expected_df_as_str) # ############################################################################# class TestReplayedMarketData3(hunitest.TestCase): """ Test `ReplayedMarketData.is_last_bar_available()` using simulated time. """ def test_get_last_end_time1(self) -> None: with hasynci.solipsism_context() as event_loop: # Build object. start_datetime = pd.Timestamp("2000-01-01 09:30:00-05:00") end_datetime = pd.Timestamp("2000-01-01 10:30:00-05:00") asset_ids = [1000] initial_replayed_delay = 5 delay_in_secs = 0 (market_data, _,) = mdmadaex.get_ReplayedTimeMarketData_example2( event_loop, start_datetime, end_datetime, initial_replayed_delay, asset_ids, delay_in_secs=delay_in_secs, ) # Call method. last_end_time = market_data.get_last_end_time() # Check. _LOG.info("-> last_end_time=%s", last_end_time) self.assertEqual(last_end_time, pd.Timestamp("2000-01-01 09:35:00-05:00")) # ######################################################################### def test_is_last_bar_available1(self) -> None: """ Wait for the market to open. """ initial_replayed_delay = -2 start_time, end_time, num_iter = self._run(initial_replayed_delay) # Check. expected_start_time = pd.Timestamp("2000-01-01 09:28:00-05:00") self.assertEqual(start_time, expected_start_time) # expected_end_time = pd.Timestamp("2000-01-01 09:31:00-05:00") self.assertEqual(end_time, expected_end_time) # expected_num_iter = 6 self.assertEqual(num_iter, expected_num_iter) def test_is_last_bar_available2(self) -> None: """ The market is already opened. """ initial_replayed_delay = 5 start_time, end_time, num_iter = self._run(initial_replayed_delay) # Check. expected_start_time = pd.Timestamp("2000-01-01 09:35:00-05:00") self.assertEqual(start_time, expected_start_time) # expected_end_time = pd.Timestamp("2000-01-01 09:35:00-05:00") self.assertEqual(end_time, expected_end_time) # expected_num_iter = 0 self.assertEqual(num_iter, expected_num_iter) def test_is_last_bar_available3(self) -> None: """ The market is closed, so we expect a timeout. """ initial_replayed_delay = 63 with self.assertRaises(TimeoutError): self._run(initial_replayed_delay) def _run( self, initial_replayed_delay: int ) -> Tuple[pd.Timestamp, pd.Timestamp, int]: """ - Build a ReplayedMarketData - Run `is_last_bar_available()` """ with hasynci.solipsism_context() as event_loop: # Build a ReplayedMarketData. start_datetime = pd.Timestamp("2000-01-01 09:30:00-05:00") end_datetime = pd.Timestamp("2000-01-01 10:30:00-05:00") asset_ids = [1000] delay_in_secs = 0 sleep_in_secs = 30 time_out_in_secs = 60 * 5 (market_data, _,) = mdmadaex.get_ReplayedTimeMarketData_example2( event_loop, start_datetime, end_datetime, initial_replayed_delay, asset_ids, delay_in_secs=delay_in_secs, sleep_in_secs=sleep_in_secs, time_out_in_secs=time_out_in_secs, ) # Run the method. start_time, end_time, num_iter = hasynci.run( market_data.wait_for_latest_data(), event_loop=event_loop, ) return start_time, end_time, num_iter class TestReplayedMarketData4(hunitest.TestCase): """ Test `ReplayedMarketData.is_last_bar_available()` using simulated time. """ def test_is_last_bar_available1(self) -> None: """ Wait for the market to open. """ start_time, end_time, num_iter = self._run() # Check. expected_start_time = pd.Timestamp( "2000-01-03 09:31:00-05:00", tz="America/New_York" ) self.assertEqual(start_time, expected_start_time) # expected_end_time = pd.Timestamp( "2000-01-03 09:31:30-05:00", tz="America/New_York" ) self.assertEqual(end_time, expected_end_time) # expected_num_iter = 1 self.assertEqual(num_iter, expected_num_iter) def _run(self) -> Tuple[pd.Timestamp, pd.Timestamp, int]: """ - Build a ReplayedMarketData - Run `is_last_bar_available()` """ with hasynci.solipsism_context() as event_loop: # Build a ReplayedMarketData. (market_data, _,) = mdmadaex.get_ReplayedTimeMarketData_example4( event_loop, initial_replayed_delay=1, start_datetime=pd.Timestamp( "2000-01-03 09:31:00-05:00", tz="America/New_York" ), end_datetime=pd.Timestamp( "2000-01-03 09:31:00-05:00", tz="America/New_York" ), asset_ids=[101, 202, 303], ) # Run the method. start_time, end_time, num_iter = hasynci.run( market_data.wait_for_latest_data(), event_loop=event_loop, ) return start_time, end_time, num_iter

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py

Python

axelrod/tests/test_averagecopier.py

DumisaniZA/Axelrod

e59fc40ebb705afe05cea6f30e282d1e9c621259

[ "MIT" ]

33

2015-02-20T11:36:48.000Z

2022-02-16T17:02:06.000Z

axelrod/tests/test_averagecopier.py

DumisaniZA/Axelrod

e59fc40ebb705afe05cea6f30e282d1e9c621259

[ "MIT" ]

108

2015-02-18T14:15:44.000Z

2020-05-08T10:39:58.000Z

axelrod/tests/test_averagecopier.py

DumisaniZA/Axelrod

e59fc40ebb705afe05cea6f30e282d1e9c621259

[ "MIT" ]

41

2015-02-18T13:40:04.000Z

2021-05-31T06:08:10.000Z

"""Test for the average_copier strategy.""" import random import axelrod from test_player import TestPlayer class TestAverageCopier(TestPlayer): name = "Average Copier" player = axelrod.AverageCopier stochastic = True def test_strategy(self): """Test that the first strategy is picked randomly.""" random.seed(1) P1 = axelrod.AverageCopier() P2 = axelrod.Player() self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') def test_when_oppenent_all_Cs(self): """ Tests that if opponent has played all C then player chooses C """ random.seed(5) P1 = axelrod.AverageCopier() P2 = axelrod.Player() P2.history = ['C', 'C', 'C', 'C'] self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') def test_when_opponent_all_Ds(self): """ Tests that if opponent has played all D then player chooses D """ random.seed(5) P1 = axelrod.AverageCopier() P2 = axelrod.Player() P2.history = ['D', 'D', 'D', 'D'] self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'D') class TestNiceAverageCopier(TestPlayer): name = "Nice Average Copier" player = axelrod.NiceAverageCopier stochastic = True def test_strategy(self): """Test that the first strategy is cooperation.""" P1 = axelrod.NiceAverageCopier() P2 = axelrod.Player() self.assertEqual(P1.strategy(P2), 'C') def test_when_oppenent_all_Cs(self): """ Tests that if opponent has played all C then player chooses C """ random.seed(5) P1 = axelrod.NiceAverageCopier() P2 = axelrod.Player() P2.history = ['C', 'C', 'C', 'C'] self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') self.assertEqual(P1.strategy(P2), 'C') def test_when_opponent_all_Ds(self): """ Tests that if opponent has played all D then player chooses D """ random.seed(5) P1 = axelrod.NiceAverageCopier() P2 = axelrod.Player() P2.history = ['D', 'D', 'D', 'D'] self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'D') self.assertEqual(P1.strategy(P2), 'D')

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py

Python

tests/test_version.py

DjaPy/fastapi-asyncapi

8a99f29bd1bf9041859c662d9b5dba612e0d60ec

[ "MIT" ]

10

2021-02-20T00:21:24.000Z

2022-03-18T14:56:19.000Z

tests/test_version.py

DjaPy/fastapi-asyncapi

8a99f29bd1bf9041859c662d9b5dba612e0d60ec

[ "MIT" ]

2

2022-02-04T12:54:33.000Z

2022-02-10T06:08:59.000Z

tests/test_version.py

DjaPy/fastapi-asyncapi

8a99f29bd1bf9041859c662d9b5dba612e0d60ec

[ "MIT" ]

1

2022-02-06T12:04:21.000Z

import fastapi_asyncapi def test_version(): assert fastapi_asyncapi.__version__ == "0.1.0"

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py

Python

deepchem/models/tensorgraph/__init__.py

n3011/deepchem

c316d998c462ce01032f0dae883856b400ea4765

[ "MIT" ]

14

2017-10-12T23:47:23.000Z

2022-02-09T13:13:51.000Z

deepchem/models/tensorgraph/__init__.py

n3011/deepchem

c316d998c462ce01032f0dae883856b400ea4765

[ "MIT" ]

2

2017-08-02T20:35:13.000Z

2017-08-10T21:17:31.000Z

deepchem/models/tensorgraph/__init__.py

n3011/deepchem

c316d998c462ce01032f0dae883856b400ea4765

[ "MIT" ]

5

2017-03-19T01:48:13.000Z

2019-02-22T01:12:03.000Z

from deepchem.models.tensorgraph.tensor_graph import TensorGraph, TFWrapper from deepchem.models.tensorgraph import models

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285d7f777578a794d7c4b0291a04c15070a301fc

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py

Python

tests/unit/test_visit_flowers.py

man-group/hiveminder

0ec31d7abce11dde7cce99fe262781d254df2eb7

[ "BSD-2-Clause" ]

5

2022-01-27T16:38:53.000Z

2022-02-09T22:43:15.000Z

tests/unit/test_visit_flowers.py

man-group/hiveminder

0ec31d7abce11dde7cce99fe262781d254df2eb7

[ "BSD-2-Clause" ]

null

tests/unit/test_visit_flowers.py

man-group/hiveminder

0ec31d7abce11dde7cce99fe262781d254df2eb7

[ "BSD-2-Clause" ]

2

2020-11-04T19:51:15.000Z

2022-02-09T22:50:54.000Z

from __future__ import absolute_import from hiveminder.game import GameState, make_flowers from hiveminder.bee import Bee from hiveminder.seed import Seed from hiveminder.flower import Flower from hiveminder.game_params import DEFAULT_GAME_PARAMETERS from mock import sentinel, patch, Mock, ANY import pytest @patch.dict("hiveminder.game_state.rngs", {sentinel.game_id: sentinel.rng}) def test_visit_flowers_does_not_feed_bee_if_not_on_flower(): game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((Flower(5, 5, DEFAULT_GAME_PARAMETERS, 1, expires=DEFAULT_GAME_PARAMETERS.flower_lifespan),),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.bee_1] = Bee(5, 4, 0, 10, DEFAULT_GAME_PARAMETERS, 1) game.visit_flowers() assert game.boards[0].inflight == {sentinel.bee_1: Bee(5, 4, 0, 10, DEFAULT_GAME_PARAMETERS, 1)} def test_visit_flowers_single_bee_single_flower(): game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((Flower(5, 5, DEFAULT_GAME_PARAMETERS, 1, expires=DEFAULT_GAME_PARAMETERS.flower_lifespan),),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.bee_1] = Bee(5, 5, 0, 10, DEFAULT_GAME_PARAMETERS, 1) game.visit_flowers() assert game.boards[0].inflight == {sentinel.bee_1: Bee(5, 5, 0, 10 + DEFAULT_GAME_PARAMETERS.bee_energy_boost_per_nectar, DEFAULT_GAME_PARAMETERS, 2)} def test_visit_flowers_two_bees_two_flowers(): game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((Flower(5, 5, DEFAULT_GAME_PARAMETERS, 1, expires=DEFAULT_GAME_PARAMETERS.flower_lifespan), Flower(5, 4, DEFAULT_GAME_PARAMETERS, 1, expires=DEFAULT_GAME_PARAMETERS.flower_lifespan)),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.bee_1] = Bee(5, 5, 0, 10, DEFAULT_GAME_PARAMETERS, 0) game.boards[0].inflight[sentinel.bee_2] = Bee(5, 4, 0, 10, DEFAULT_GAME_PARAMETERS, 0) game.visit_flowers() assert game.boards[0].inflight == {sentinel.bee_1: Bee(5, 5, 0, 10 + DEFAULT_GAME_PARAMETERS.bee_energy_boost_per_nectar, DEFAULT_GAME_PARAMETERS, 1), sentinel.bee_2: Bee(5, 4, 0, 10 + DEFAULT_GAME_PARAMETERS.bee_energy_boost_per_nectar, DEFAULT_GAME_PARAMETERS, 1), } def test_visit_flowers_two_bees_two_flowers_more_potent_and_live_longer(): flower1 = Flower(5, 5, DEFAULT_GAME_PARAMETERS, 3, expires=DEFAULT_GAME_PARAMETERS.flower_lifespan) flower2 = Flower(5, 4, DEFAULT_GAME_PARAMETERS, 2, expires=DEFAULT_GAME_PARAMETERS.flower_lifespan) game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((flower1, flower2),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.bee_1] = Bee(5, 5, 0, 10, DEFAULT_GAME_PARAMETERS, 3) game.boards[0].inflight[sentinel.bee_2] = Bee(5, 4, 0, 10, DEFAULT_GAME_PARAMETERS, 2) game.visit_flowers() assert flower1.expires == flower2.expires == DEFAULT_GAME_PARAMETERS.flower_lifespan + DEFAULT_GAME_PARAMETERS.flower_lifespan_visit_impact assert game.boards[0].inflight == {sentinel.bee_1: Bee(5, 5, 0, 10 + 3 * DEFAULT_GAME_PARAMETERS.bee_energy_boost_per_nectar, DEFAULT_GAME_PARAMETERS, 5), sentinel.bee_2: Bee(5, 4, 0, 10 + 2 * DEFAULT_GAME_PARAMETERS.bee_energy_boost_per_nectar, DEFAULT_GAME_PARAMETERS, 4), } @patch.dict("hiveminder.game_state.rngs", {sentinel.game_id: sentinel.rng}) def test_seed_does_not_visit_flower(): game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((Flower(5, 5, DEFAULT_GAME_PARAMETERS, 1, DEFAULT_GAME_PARAMETERS.flower_lifespan_visit_impact),),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.seed_1] = Seed(5, 5, 0) game.visit_flowers() assert game.boards[0].inflight == {sentinel.seed_1: Seed(5, 5, 0)} SEED_GENERATION_VISITS = [DEFAULT_GAME_PARAMETERS.flower_seed_visit_initial_threshold + (DEFAULT_GAME_PARAMETERS.flower_seed_visit_subsequent_threshold * x) for x in range(0, 8)] @patch.dict("hiveminder.game_state.rngs", {sentinel.game_id: Mock(name="rng", **{"random.return_value": 1})}) @patch("hiveminder.board.uuid4", return_value=sentinel.uuid) @pytest.mark.parametrize('visits', SEED_GENERATION_VISITS) def test_visiting_flower_creates_seed_every_ten_visits(_, visits): game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((Flower(5, 5, DEFAULT_GAME_PARAMETERS, 3, visits - 1, DEFAULT_GAME_PARAMETERS.flower_lifespan_visit_impact),),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.bee_1] = Bee(5, 5, 0, 10, DEFAULT_GAME_PARAMETERS) game.visit_flowers() assert game.boards[0].inflight == {sentinel.bee_1: Bee(5, 5, 0, 85, DEFAULT_GAME_PARAMETERS, 3), 'sentinel.uuid': Seed(5, 5, ANY)} @pytest.mark.parametrize('visits', [n for n in range(0, 45) if n not in SEED_GENERATION_VISITS]) def test_visiting_flower_does_not_create_seeds_when_not_seed_threshold(visits): game = GameState(game_params=DEFAULT_GAME_PARAMETERS, game_id=sentinel.game_id, boards=1, board_width=10, board_height=10, hives=(sentinel.hives,), flowers=((Flower(5, 5, DEFAULT_GAME_PARAMETERS, 3, visits - 1, DEFAULT_GAME_PARAMETERS.flower_lifespan_visit_impact),),), game_length=sentinel.game_length) game.boards[0].inflight[sentinel.bee_1] = Bee(5, 5, 0, 10, DEFAULT_GAME_PARAMETERS) game.visit_flowers() assert game.boards[0].inflight == {sentinel.bee_1: Bee(5, 5, 0, 85, DEFAULT_GAME_PARAMETERS, 3)}

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1

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null

0

7

955fb0cfe9ee87a23163bda978fc46cf5781c5ae

529

py

Python

flaskr/populate_db.py

johnsliao/D3.js-flask

6785ecdd48e5d12eefd539681c9fe54b370723e3

[ "MIT" ]

21

2016-05-14T15:53:39.000Z

2022-02-16T07:21:16.000Z

flaskr/populate_db.py

johnsliao/D3.js-flask

6785ecdd48e5d12eefd539681c9fe54b370723e3

[ "MIT" ]

1

2017-12-28T17:02:44.000Z

flaskr/populate_db.py

johnsliao/D3.js-flask

6785ecdd48e5d12eefd539681c9fe54b370723e3

[ "MIT" ]

6

2017-10-23T20:54:12.000Z

2020-12-26T14:48:31.000Z

import sqlite3 conn = sqlite3.connect('flaskr.db') c = conn.cursor() c.execute('insert into entries (week, data1, data2) values (1, 5, 2)') c.execute('insert into entries (week, data1, data2) values (2, 2, 4)') c.execute('insert into entries (week, data1, data2) values (3, 9, 6)') c.execute('insert into entries (week, data1, data2) values (4, 12, 8)') c.execute('insert into entries (week, data1, data2) values (5, 20, 12)') c.execute('insert into entries (week, data1, data2) values (6, 17, 18)') conn.commit() conn.close()

37.785714

72

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1

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1

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null

0

7

95614786765fb1eee5461063b13bad26899e9bd9

22,348

py

Python

tests/compiler/compose/compose_push/test_push_compose_agg.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

3

2020-10-05T16:30:15.000Z

2021-01-22T13:38:02.000Z

tests/compiler/compose/compose_push/test_push_compose_agg.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

null

tests/compiler/compose/compose_push/test_push_compose_agg.py

CCD-HRI/congregation

a552856b03a64a4295792184107c4e529ca3f4ae

[ "MIT" ]

1

2021-02-19T12:40:57.000Z

from congregation.lang import * from congregation.dag import Dag from congregation.dag.nodes.internal import * from congregation.comp import PushDown, PushUp from tests.utils import create_cols, compare_to_expected import pytest @pytest.mark.parametrize("party_data, expected", [ ( [ { "col_names": ["a", "b"], "stored_with": {1}, "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1}, {1}] }, { "col_names": ["c", "d"], "stored_with": {2}, "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] } ], { "node_order": [ Create, Create, AggregateSumSquaresAndCount, AggregateSumSquaresAndCount, Concat, AggregateStdDev, AggregateStdDevLocalSqrt, Multiply, Collect ], "requires_mpc": [False, False, False, False, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1}], "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] }, { "stored_with": [{1}], "plaintext_sets": [{1}, {1}, {1}, {1}], "trust_with_sets": [{1}, {1}, {1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}, {2}, {2}], "trust_with_sets": [{2}, {2}, {2}, {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [set(), set(), set(), set()], "trust_with_sets": [set(), set(), set(), set()] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ), ( [ { "col_names": ["a", "b"], "stored_with": {1}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "col_names": ["c", "d"], "stored_with": {2}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] } ], { "node_order": [ Create, Create, AggregateSumSquaresAndCount, AggregateSumSquaresAndCount, Concat, AggregateStdDev, AggregateStdDevLocalSqrt, Multiply, Collect ], "requires_mpc": [False, False, False, False, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1}], "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] }, { "stored_with": [{1}], "plaintext_sets": [{1}, {1}, {1}, {1}], "trust_with_sets": [{1}, {1}, {1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}, {2}, {2}], "trust_with_sets": [{2}, {2}, {2}, {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [set(), set(), set(), set()], "trust_with_sets": [set(), set(), set(), set()] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ), ( [ { "col_names": ["a", "b"], "stored_with": {1}, "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1, 2}, {1}] }, { "col_names": ["c", "d"], "stored_with": {2}, "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] } ], { "node_order": [ Create, Create, AggregateSumSquaresAndCount, AggregateSumSquaresAndCount, Concat, AggregateStdDev, AggregateStdDevLocalSqrt, Multiply, Collect ], "requires_mpc": [False, False, False, False, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1}], "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1, 2}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] }, { "stored_with": [{1}], "plaintext_sets": [{1}, {1}, {1}, {1}], "trust_with_sets": [{1, 2}, {1}, {1}, {1, 2}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}, {2}, {2}], "trust_with_sets": [{2}, {2}, {2}, {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [set(), set(), set(), set()], "trust_with_sets": [{2}, set(), set(), {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ), ( [ { "col_names": ["a", "b"], "stored_with": {1, 2}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "col_names": ["c", "d"], "stored_with": {1, 2}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] } ], { "node_order": [ Create, Create, Concat, AggregateStdDev, AggregateStdDevLocalSqrt, Multiply, Collect ], "requires_mpc": [True, True, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1, 2}], "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "stored_with": [{1, 2}], "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "stored_with": [{1, 2}], "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ) ]) def test_agg_std_dev(party_data, expected): cols_in_one = create_cols(party_data[0]) cols_in_two = create_cols(party_data[1]) rel_one = create("in1", cols_in_one, party_data[0]["stored_with"]) rel_two = create("in2", cols_in_two, party_data[1]["stored_with"]) cc = concat([rel_one, rel_two], "concat", party_data[0]["col_names"]) std_dev = aggregate(cc, "std_dev", [party_data[0]["col_names"][0]], party_data[0]["col_names"][1], "std_dev") mult = multiply(std_dev, "mult", party_data[0]["col_names"][0], [party_data[0]["col_names"][1], 7]) collect(mult, {1, 2}) d = Dag({rel_one, rel_two}) pd = PushDown() pd.rewrite(d) pu = PushUp() pu.rewrite(d) compare_to_expected(d, expected) @pytest.mark.parametrize("party_data, expected", [ ( [ { "col_names": ["a", "b"], "stored_with": {1}, "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1}, {1}] }, { "col_names": ["c", "d"], "stored_with": {2}, "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] } ], { "node_order": [ Create, Create, AggregateSumSquaresAndCount, AggregateSumSquaresAndCount, Concat, AggregateVariance, AggregateVarianceLocalDiff, Multiply, Collect ], "requires_mpc": [False, False, False, False, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1}], "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] }, { "stored_with": [{1}], "plaintext_sets": [{1}, {1}, {1}, {1}], "trust_with_sets": [{1}, {1}, {1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}, {2}, {2}], "trust_with_sets": [{2}, {2}, {2}, {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [set(), set(), set(), set()], "trust_with_sets": [set(), set(), set(), set()] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ), ( [ { "col_names": ["a", "b"], "stored_with": {1}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "col_names": ["c", "d"], "stored_with": {2}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] } ], { "node_order": [ Create, Create, AggregateSumSquaresAndCount, AggregateSumSquaresAndCount, Concat, AggregateVariance, AggregateVarianceLocalDiff, Multiply, Collect ], "requires_mpc": [False, False, False, False, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1}], "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] }, { "stored_with": [{1}], "plaintext_sets": [{1}, {1}, {1}, {1}], "trust_with_sets": [{1}, {1}, {1}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}, {2}, {2}], "trust_with_sets": [{2}, {2}, {2}, {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [set(), set(), set(), set()], "trust_with_sets": [set(), set(), set(), set()] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ), ( [ { "col_names": ["a", "b"], "stored_with": {1}, "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1, 2}, {1}] }, { "col_names": ["c", "d"], "stored_with": {2}, "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] } ], { "node_order": [ Create, Create, AggregateSumSquaresAndCount, AggregateSumSquaresAndCount, Concat, AggregateVariance, AggregateVarianceLocalDiff, Multiply, Collect ], "requires_mpc": [False, False, False, False, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1}], "plaintext_sets": [{1}, {1}], "trust_with_sets": [{1, 2}, {1}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}], "trust_with_sets": [{2}, {2}] }, { "stored_with": [{1}], "plaintext_sets": [{1}, {1}, {1}, {1}], "trust_with_sets": [{1, 2}, {1}, {1}, {1, 2}] }, { "stored_with": [{2}], "plaintext_sets": [{2}, {2}, {2}, {2}], "trust_with_sets": [{2}, {2}, {2}, {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [set(), set(), set(), set()], "trust_with_sets": [{2}, set(), set(), {2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ), ( [ { "col_names": ["a", "b"], "stored_with": {1, 2}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "col_names": ["c", "d"], "stored_with": {1, 2}, "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] } ], { "node_order": [ Create, Create, Concat, AggregateVariance, AggregateVarianceLocalDiff, Multiply, Collect ], "requires_mpc": [True, True, True, True, False, False, False], "ownership_data":[ { "stored_with": [{1, 2}], "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "stored_with": [{1, 2}], "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "stored_with": [{1, 2}], "plaintext_sets": [set(), set()], "trust_with_sets": [set(), set()] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] }, { "stored_with": [{1}, {2}], "plaintext_sets": [{1, 2}, {1, 2}], "trust_with_sets": [{1, 2}, {1, 2}] } ] } ) ]) def test_agg_variance(party_data, expected): cols_in_one = create_cols(party_data[0]) cols_in_two = create_cols(party_data[1]) rel_one = create("in1", cols_in_one, party_data[0]["stored_with"]) rel_two = create("in2", cols_in_two, party_data[1]["stored_with"]) cc = concat([rel_one, rel_two], "concat", party_data[0]["col_names"]) variance = aggregate(cc, "variance", [party_data[0]["col_names"][0]], party_data[0]["col_names"][1], "variance") mult = multiply(variance, "mult", party_data[0]["col_names"][0], [party_data[0]["col_names"][1], 7]) collect(mult, {1, 2}) d = Dag({rel_one, rel_two}) pd = PushDown() pd.rewrite(d) pu = PushUp() pu.rewrite(d) compare_to_expected(d, expected)

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0.156457

0.041969

0.952631

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null

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1

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null

0

7

957f629c9ce69bd746322a15fc799c745d495052

154

py

Python

python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_1/_pkg0_1_1/_pkg0_1_1_1/_pkg0_1_1_1_1/__init__.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_1/_pkg0_1_1/_pkg0_1_1_1/_pkg0_1_1_1_1/__init__.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/completion/heavyStarPropagation/lib/_pkg0/_pkg0_1/_pkg0_1_1/_pkg0_1_1_1/_pkg0_1_1_1_1/__init__.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

from ._mod0_1_1_1_1_0 import * from ._mod0_1_1_1_1_1 import * from ._mod0_1_1_1_1_2 import * from ._mod0_1_1_1_1_3 import * from ._mod0_1_1_1_1_4 import *

30.8

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0.811688

40

154

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0.347368

0.252632

0.884211

0.757895

0

0.222222

0.123377

154

5

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30.8

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0

1

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true

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1

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null

1

0

1

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1

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0

null

0

1

0

1

0

1

0

12

95fef0908bea31cda36642ddae6f5df42f10b474

26,044

py

Python

watcherclient/tests/unit/v1/test_audit_shell.py

openstack/python-watcherclient

765701da39030df367f27c9c1b8b95b743fb1279

[ "Apache-2.0" ]

17

2015-10-18T02:56:38.000Z

2019-03-12T11:18:50.000Z

watcherclient/tests/unit/v1/test_audit_shell.py

stackforge/python-watcherclient

765701da39030df367f27c9c1b8b95b743fb1279

[ "Apache-2.0" ]

null

watcherclient/tests/unit/v1/test_audit_shell.py

stackforge/python-watcherclient

765701da39030df367f27c9c1b8b95b743fb1279

[ "Apache-2.0" ]

null

# # Copyright 2013 IBM Corp # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import datetime from unittest import mock import six from watcherclient import shell from watcherclient.tests.unit.v1 import base from watcherclient import v1 as resource AUDIT_TEMPLATE_1 = { 'uuid': 'f8e47706-efcf-49a4-a5c4-af604eb492f2', 'name': 'at1', 'description': 'Audit Template 1 description', 'goal_uuid': 'fc087747-61be-4aad-8126-b701731ae836', 'strategy_uuid': '2cf86250-d309-4b81-818e-1537f3dba6e5', 'created_at': datetime.datetime.now().isoformat(), 'updated_at': None, 'deleted_at': None, } GOAL_1 = { 'uuid': "fc087747-61be-4aad-8126-b701731ae836", 'name': "SERVER_CONSOLIDATION", 'display_name': 'Server Consolidation', 'created_at': datetime.datetime.now().isoformat(), 'updated_at': None, 'deleted_at': None, } STRATEGY_1 = { 'uuid': '2cf86250-d309-4b81-818e-1537f3dba6e5', 'name': 'basic', 'display_name': 'Basic consolidation', 'goal_uuid': 'fc087747-61be-4aad-8126-b701731ae836', 'created_at': datetime.datetime.now().isoformat(), 'updated_at': None, 'deleted_at': None, } class AuditShellTest(base.CommandTestCase): AUDIT_1 = { 'uuid': '5869da81-4876-4687-a1ed-12cd64cf53d9', 'audit_type': 'ONESHOT', 'state': 'PENDING', 'audit_template_uuid': 'f8e47706-efcf-49a4-a5c4-af604eb492f2', 'audit_template_name': 'at1', 'goal_name': 'SERVER_CONSOLIDATION', 'strategy_name': 'basic', 'created_at': datetime.datetime.now().isoformat(), 'updated_at': None, 'deleted_at': None, 'parameters': None, 'interval': None, 'scope': '', 'auto_trigger': False, 'next_run_time': None, 'name': 'my_audit1', 'hostname': '', } AUDIT_2 = { 'uuid': 'a5199d0e-0702-4613-9234-5ae2af8dafea', 'audit_type': 'ONESHOT', 'state': 'PENDING', 'audit_template_uuid': 'f8e47706-efcf-49a4-a5c4-af604eb492f2', 'audit_template_name': 'at1', 'goal_name': 'fc087747-61be-4aad-8126-b701731ae836', 'strategy_name': 'auto', 'created_at': datetime.datetime.now().isoformat(), 'updated_at': None, 'deleted_at': None, 'parameters': None, 'interval': None, 'scope': '', 'auto_trigger': False, 'next_run_time': None, 'name': 'my_audit2', 'hostname': '', } AUDIT_3 = { 'uuid': '43199d0e-0712-1213-9674-5ae2af8dhgte', 'audit_type': 'ONESHOT', 'state': 'PENDING', 'audit_template_uuid': 'f8e47706-efcf-49a4-a5c4-af604eb492f2', 'audit_template_name': 'at1', 'goal_name': None, 'strategy_name': 'auto', 'created_at': datetime.datetime.now().isoformat(), 'updated_at': None, 'deleted_at': None, 'parameters': None, 'interval': 3600, 'scope': '', 'auto_trigger': True, 'next_run_time': None, 'name': 'my_audit3', 'hostname': '', } SHORT_LIST_FIELDS = ['uuid', 'name', 'audit_type', 'state', 'goal_name', 'strategy_name', 'auto_trigger'] SHORT_LIST_FIELD_LABELS = ['UUID', 'Name', 'Audit Type', 'State', 'Goal', 'Strategy', 'Auto Trigger'] FIELDS = ['uuid', 'name', 'created_at', 'updated_at', 'deleted_at', 'state', 'audit_type', 'parameters', 'interval', 'goal_name', 'strategy_name', 'scope', 'auto_trigger', 'next_run_time', 'hostname'] FIELD_LABELS = ['UUID', 'Name', 'Created At', 'Updated At', 'Deleted At', 'State', 'Audit Type', 'Parameters', 'Interval', 'Goal', 'Strategy', 'Audit Scope', 'Auto Trigger', 'Next Run Time', 'Hostname'] def setUp(self, os_infra_optim_api_version='1.0'): super(AuditShellTest, self).setUp( os_infra_optim_api_version=os_infra_optim_api_version) # goal mock p_goal_manager = mock.patch.object(resource, 'GoalManager') self.m_goal_mgr_cls = p_goal_manager.start() self.addCleanup(p_goal_manager.stop) self.m_goal_mgr = mock.Mock() self.m_goal_mgr_cls.return_value = self.m_goal_mgr # strategy mock p_strategy_manager = mock.patch.object(resource, 'StrategyManager') self.m_strategy_mgr_cls = p_strategy_manager.start() self.addCleanup(p_strategy_manager.stop) self.m_strategy_mgr = mock.Mock() self.m_strategy_mgr_cls.return_value = self.m_strategy_mgr p_audit_manager = mock.patch.object(resource, 'AuditManager') p_audit_template_manager = mock.patch.object( resource, 'AuditTemplateManager') self.m_audit_mgr_cls = p_audit_manager.start() self.m_audit_template_mgr_cls = p_audit_template_manager.start() self.addCleanup(p_audit_manager.stop) self.addCleanup(p_audit_template_manager.stop) self.m_audit_mgr = mock.Mock() self.m_audit_template_mgr = mock.Mock() self.m_audit_mgr_cls.return_value = self.m_audit_mgr self.m_audit_template_mgr_cls.return_value = self.m_audit_template_mgr # stdout mock self.stdout = six.StringIO() self.cmd = shell.WatcherShell(stdout=self.stdout) def test_do_audit_list(self): audit1 = resource.Audit(mock.Mock(), self.AUDIT_1) audit2 = resource.Audit(mock.Mock(), self.AUDIT_2) self.m_audit_mgr.list.return_value = [ audit1, audit2] exit_code, results = self.run_cmd('audit list') self.assertEqual(0, exit_code) self.assertEqual( [self.resource_as_dict(audit1, self.SHORT_LIST_FIELDS, self.SHORT_LIST_FIELD_LABELS), self.resource_as_dict(audit2, self.SHORT_LIST_FIELDS, self.SHORT_LIST_FIELD_LABELS)], results) self.m_audit_mgr.list.assert_called_once_with(detail=False) def test_do_audit_list_marker(self): audit2 = resource.Audit(mock.Mock(), self.AUDIT_2) self.m_audit_mgr.list.return_value = [audit2] exit_code, results = self.run_cmd( 'audit list --marker 5869da81-4876-4687-a1ed-12cd64cf53d9') self.assertEqual(0, exit_code) self.assertEqual( [self.resource_as_dict(audit2, self.SHORT_LIST_FIELDS, self.SHORT_LIST_FIELD_LABELS)], results) self.m_audit_mgr.list.assert_called_once_with( detail=False, marker='5869da81-4876-4687-a1ed-12cd64cf53d9') def test_do_audit_list_detail(self): audit1 = resource.Audit(mock.Mock(), self.AUDIT_1) audit2 = resource.Audit(mock.Mock(), self.AUDIT_2) self.m_audit_mgr.list.return_value = [ audit1, audit2] exit_code, results = self.run_cmd('audit list --detail') self.assertEqual(0, exit_code) self.assertEqual( [self.resource_as_dict(audit1, self.FIELDS, self.FIELD_LABELS), self.resource_as_dict(audit2, self.FIELDS, self.FIELD_LABELS)], results) self.m_audit_mgr.list.assert_called_once_with(detail=True) def test_do_audit_show_by_uuid(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.get.return_value = audit exit_code, result = self.run_cmd( 'audit show 5869da81-4876-4687-a1ed-12cd64cf53d9') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.get.assert_called_once_with( '5869da81-4876-4687-a1ed-12cd64cf53d9') def test_do_audit_show_by_name(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.get.return_value = audit exit_code, result = self.run_cmd( 'audit show my_audit') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.get.assert_called_once_with( 'my_audit') def test_do_audit_delete(self): self.m_audit_mgr.delete.return_value = '' exit_code, result = self.run_cmd( 'audit delete 5869da81-4876-4687-a1ed-12cd64cf53d9', formatting=None) self.assertEqual(0, exit_code) self.assertEqual('', result) self.m_audit_mgr.delete.assert_called_once_with( '5869da81-4876-4687-a1ed-12cd64cf53d9') def test_do_audit_delete_by_name(self): self.m_audit_mgr.delete.return_value = '' exit_code, result = self.run_cmd( 'audit delete my_audit', formatting=None) self.assertEqual(0, exit_code) self.assertEqual('', result) self.m_audit_mgr.delete.assert_called_once_with( 'my_audit') def test_do_audit_delete_multiple(self): self.m_audit_mgr.delete.return_value = '' exit_code, result = self.run_cmd( 'audit delete 5869da81-4876-4687-a1ed-12cd64cf53d9 ' '5b157edd-5a7e-4aaa-b511-f7b33ec86e9f', formatting=None) self.assertEqual(0, exit_code) self.assertEqual('', result) self.m_audit_mgr.delete.assert_any_call( '5869da81-4876-4687-a1ed-12cd64cf53d9') self.m_audit_mgr.delete.assert_any_call( '5b157edd-5a7e-4aaa-b511-f7b33ec86e9f') def test_do_audit_update(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.update.return_value = audit exit_code, result = self.run_cmd( 'audit update 5869da81-4876-4687-a1ed-12cd64cf53d9 ' 'replace state=PENDING') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.update.assert_called_once_with( '5869da81-4876-4687-a1ed-12cd64cf53d9', [{'op': 'replace', 'path': '/state', 'value': 'PENDING'}]) def test_do_audit_update_by_name(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.update.return_value = audit exit_code, result = self.run_cmd( 'audit update my_audit replace state=PENDING') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.update.assert_called_once_with( 'my_audit', [{'op': 'replace', 'path': '/state', 'value': 'PENDING'}]) def test_do_audit_create_with_audit_template_uuid(self): audit = resource.Audit(mock.Mock(), self.AUDIT_3) audit_template = resource.AuditTemplate(mock.Mock(), AUDIT_TEMPLATE_1) self.m_audit_template_mgr.get.return_value = audit_template self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -a f8e47706-efcf-49a4-a5c4-af604eb492f2') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( audit_template_uuid='f8e47706-efcf-49a4-a5c4-af604eb492f2', audit_type='ONESHOT', auto_trigger=False ) def test_do_audit_create_with_audit_template_name(self): audit = resource.Audit(mock.Mock(), self.AUDIT_3) audit_template = resource.AuditTemplate(mock.Mock(), AUDIT_TEMPLATE_1) self.m_audit_template_mgr.get.return_value = audit_template self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd('audit create -a at1') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( audit_template_uuid='f8e47706-efcf-49a4-a5c4-af604eb492f2', auto_trigger=False, audit_type='ONESHOT' ) def test_do_audit_create_with_goal(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', auto_trigger=False, audit_type='ONESHOT' ) def test_do_audit_create_with_goal_and_strategy(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -s ' '2cf86250-d309-4b81-818e-1537f3dba6e5') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', strategy='2cf86250-d309-4b81-818e-1537f3dba6e5', auto_trigger=False, audit_type='ONESHOT' ) def test_do_audit_create_with_type(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -t ONESHOT') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', auto_trigger=False, audit_type='ONESHOT' ) def test_do_audit_create_with_parameter(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -p para1=10 ' '-p para2=20') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', audit_type='ONESHOT', auto_trigger=False, parameters={'para1': 10, 'para2': 20} ) def test_do_audit_create_with_type_event(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -t EVENT') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', auto_trigger=False, audit_type='EVENT' ) def test_do_audit_create_with_type_continuous(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 ' '-t CONTINUOUS -i 3600') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', audit_type='CONTINUOUS', auto_trigger=False, interval='3600' ) def test_do_audit_create_with_name(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 ' '-t CONTINUOUS -i 3600 --name my_audit') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', audit_type='CONTINUOUS', auto_trigger=False, interval='3600', name='my_audit' ) class AuditShellTestv11(AuditShellTest): def setUp(self): super(AuditShellTestv11, self).setUp(os_infra_optim_api_version='1.1') v11 = dict(start_time=None, end_time=None) for audit in (self.AUDIT_1, self.AUDIT_2, self.AUDIT_3): audit.update(v11) self.FIELDS.extend(['start_time', 'end_time']) self.FIELD_LABELS.extend(['Start Time', 'End Time']) class AuditShellTestv12(AuditShellTest): def setUp(self): super(AuditShellTestv12, self).setUp(os_infra_optim_api_version='1.2') v11 = dict(start_time=None, end_time=None) v12 = dict(force=False) for audit in (self.AUDIT_1, self.AUDIT_2, self.AUDIT_3): audit.update(v11) audit.update(v12) self.FIELDS.extend(['start_time', 'end_time', 'force']) self.FIELD_LABELS.extend(['Start Time', 'End Time', 'Force']) def test_do_audit_create_with_force(self): audit = resource.Audit(mock.Mock(), self.AUDIT_3) audit_template = resource.AuditTemplate(mock.Mock(), AUDIT_TEMPLATE_1) self.m_audit_template_mgr.get.return_value = audit_template self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -a f8e47706-efcf-49a4-a5c4-af604eb492f2 --force') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( audit_template_uuid='f8e47706-efcf-49a4-a5c4-af604eb492f2', audit_type='ONESHOT', auto_trigger=False, force=True ) def test_do_audit_create_with_audit_template_uuid(self): audit = resource.Audit(mock.Mock(), self.AUDIT_3) audit_template = resource.AuditTemplate(mock.Mock(), AUDIT_TEMPLATE_1) self.m_audit_template_mgr.get.return_value = audit_template self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -a f8e47706-efcf-49a4-a5c4-af604eb492f2') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( audit_template_uuid='f8e47706-efcf-49a4-a5c4-af604eb492f2', audit_type='ONESHOT', auto_trigger=False, force=False ) def test_do_audit_create_with_audit_template_name(self): audit = resource.Audit(mock.Mock(), self.AUDIT_3) audit_template = resource.AuditTemplate(mock.Mock(), AUDIT_TEMPLATE_1) self.m_audit_template_mgr.get.return_value = audit_template self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd('audit create -a at1') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( audit_template_uuid='f8e47706-efcf-49a4-a5c4-af604eb492f2', auto_trigger=False, audit_type='ONESHOT', force=False ) def test_do_audit_create_with_goal(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', auto_trigger=False, audit_type='ONESHOT', force=False ) def test_do_audit_create_with_goal_and_strategy(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -s ' '2cf86250-d309-4b81-818e-1537f3dba6e5') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', strategy='2cf86250-d309-4b81-818e-1537f3dba6e5', auto_trigger=False, audit_type='ONESHOT', force=False ) def test_do_audit_create_with_type(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -t ONESHOT') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', auto_trigger=False, audit_type='ONESHOT', force=False ) def test_do_audit_create_with_parameter(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -p para1=10 ' '-p para2=20') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', audit_type='ONESHOT', auto_trigger=False, parameters={'para1': 10, 'para2': 20}, force=False ) def test_do_audit_create_with_type_continuous(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 ' '-t CONTINUOUS -i 3600') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', audit_type='CONTINUOUS', auto_trigger=False, interval='3600', force=False ) def test_do_audit_create_with_type_event(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 -t EVENT') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', auto_trigger=False, audit_type='EVENT', force=False ) def test_do_audit_create_with_name(self): audit = resource.Audit(mock.Mock(), self.AUDIT_1) self.m_audit_mgr.create.return_value = audit exit_code, result = self.run_cmd( 'audit create -g fc087747-61be-4aad-8126-b701731ae836 ' '-t CONTINUOUS -i 3600 --name my_audit') self.assertEqual(0, exit_code) self.assertEqual( self.resource_as_dict(audit, self.FIELDS, self.FIELD_LABELS), result) self.m_audit_mgr.create.assert_called_once_with( goal='fc087747-61be-4aad-8126-b701731ae836', audit_type='CONTINUOUS', auto_trigger=False, interval='3600', name='my_audit', force=False )

37.152639

79

0.631777

3,180

26,044

4.894025

0.072327

0.025702

0.046264

0.052625

0.891216

0.850993

0.817773

0.798561

0.780055

0.768425

0

0.08092

0.258831

26,044

700

80

37.205714

0.725328

0.022846

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0.71831

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0.187252

0.092014

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0.056338

false

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0.010563

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0.084507

0

null

0

1

0

1

0

null

0

7

254160d1dd7cb4e489aa976a263004ee68c0094f

576

py

Python

src/tensor/op/functor/conversion.py

jedhsu/tensor

3b2fe21029fa7c50b034190e77d79d1a94ea5e8f

[ "Apache-2.0" ]

null

src/tensor/op/functor/conversion.py

jedhsu/tensor

3b2fe21029fa7c50b034190e77d79d1a94ea5e8f

[ "Apache-2.0" ]

null

src/tensor/op/functor/conversion.py

jedhsu/tensor

3b2fe21029fa7c50b034190e77d79d1a94ea5e8f

[ "Apache-2.0" ]

null

""" Type casting operators. """ import jax.numpy as jnp from .base import ArrayOperator class CastingOperator(ArrayOperator): """ Type promotion and demotion. """ Promote = jnp.promote_types BitIntoU8 = jnp.packbits # [TODO] clarify U8IntoBit = jnp.unpackbits """ Type conversion / casting operators. """ import jax.numpy as jnp from .base import ArrayOperator class CastingOperator(ArrayOperator): """ Type promotion and demotion. """ Promote = jnp.promote_types EulerGamma = jnp.euler_gamma # [TODO] clarify

13.090909

50

0.677083

61

576

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0.082687

0.113695

0.129199

0.728682

0

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0.227431

576

43

51

13.395349

0.865169

0.194444

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0.727273

0

0.046512

0

1

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false

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0.363636

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null

0

1

0

1

0

1

0

9

2566aa339f399ad9acbc15ed6fc483193462238c

11,513

py

Python

liveodds/processing.py

nik849/LiveOdds

678b447529ab2367459f7937b02048d3eba7ce79

[ "MIT" ]

null

liveodds/processing.py

nik849/LiveOdds

678b447529ab2367459f7937b02048d3eba7ce79

[ "MIT" ]

null

liveodds/processing.py

nik849/LiveOdds

678b447529ab2367459f7937b02048d3eba7ce79

[ "MIT" ]

null

from numpy import where def process(data, tc_data, leagues): """ Processing method for returning liveodds from totalcorner request """ overall_results = [] overall_preds = [] results_preds = {} league_dict = {} results = {} teams = [] for match in tc_data: teams.append(match["h"]) teams.append(match["a"]) league_dict.update({match.get("h"):0}) league_dict.update({match.get("a"):0}) try: leagueset = set(list(leagues.keys())) teamset = set(teams) except AttributeError: print('No teams specified.') leagues = {} leagues['0'] = 0 for league, coeff in leagues.items(): league_dict[league] = coeff for match in tc_data: gol_linestr = match["p_goal_h"][0].strip("'").split(", ") try: gol_line = float(gol_linestr) except TypeError: try: gol_line = max([float(x) for x in gol_linestr]) except ValueError: gol_line = 0 if match["status"] == 'half': match["status"] = 45 if int(data["Min"]) == int(match["status"]): calcs = {} unwanted_keys = ['h_id', 'a_id', 'hc', 'ac', 'hrc', 'arc', 'hyc', 'ayc', 'hf_hc', 'hf_ac', 'hf_hg', 'hf_ag', 'ish', 'hp', 'ap', 'asian_corner'] calcs.update({'Minute': match["status"]}) #results_preds.update(match) calcs["Nation"] = f'{match["h"]} vs {match["a"]}' calcs["CoNz"] = float(league_dict.get(match["h"])) if calcs["CoNz"] == 0: calcs["CoNz"] = float(league_dict.get(match["a"])) match["attacks_h"] = [] match["shot_on_h"] = [] calcs["Datk"] = round((float(match["dang_attacks"][0]) - float(match["dang_attacks"][1]))\ / float(data["Min"]), 2) calcs["GttpH"] = float(match["shot_on"][0]) * float(data["Ptph"]) calcs["GttfH"] = float(match["shot_off"][0]) * float(data["Ptfh"]) calcs["GttpA"] = float(match["shot_on"][1]) * float(data["Ptpa"]) calcs["GttfA"] = float(match["shot_off"][1]) * float(data["Ptfa"]) calcs["GtapH"] = float(match["dang_attacks"][0]) * float(data["PAtpH"]) calcs["GtapA"] = float(match["dang_attacks"][0]) * float(data["Patpa"]) calcs["GtHm"] = int((calcs["GttpH"] + calcs["GttfH"] + calcs["GtapH"])\ + calcs["Datk"] / 3) calcs["gtam"] = int((calcs["GttpH"] + calcs["GttfH"] + calcs["GtapH"])\ - calcs["Datk"] / 3) calcs["SgtM"] = where((where(calcs["GtHm"] < float(data["CofMinH"]), 0, calcs["GtHm"]) + where(calcs["gtam"] < float(data["CofMinA"]), 0, calcs["gtam"]) + calcs["CoNz"] < 0), 0, (where(calcs["GtHm"] < calcs["gtam"], 0, calcs["GtHm"]) + where(calcs["gtam"] < float(data["CofMinA"]), 0, calcs["gtam"]) + calcs["CoNz"])) calcs["Sgmx"] = int(match["hg"]) + int(match["ag"]) calcs["DeltaM"] = round((( float(match["hg"]) - float(calcs["GtHm"])) * (float(match["ag"]) - calcs["gtam"]) * (float(calcs["Sgmx"]) - float(calcs["SgtM"]) )) / 3, 2) calcs["GtFh"] = where(where(calcs["DeltaM"] > 1, ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2) / int(data["Min"]) * where(int(data["CoefMinH"]) < int(match["hg"]), int(match["hg"]), where(calcs["DeltaM"] > 1, ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2)) / data["Min"] * data["CoefMinH"]))) calcs["GtFh"] = where(where(calcs["DeltaM"] > 1, ((int(match["hg"]) * \ calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"]) < int(match["hg"]), int(match["hg"]), where(calcs["DeltaM"] > 1, ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"])) calcs["GtFa"] = where(where(calcs["DeltaM"] < -1, ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90 + (calcs["DeltaM"] / 3), ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90) < int(match["ag"]), int(match["ag"]), where(calcs["DeltaM"] < -1, ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90 + (calcs["DeltaM"] / 3), ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90)) calcs["sgtft1"] = round(where(calcs["GtFh"] < 0, 5, calcs["GtFh"]) + \ where(calcs["GtFa"] < 0, 7, calcs["GtFa"]) + \ where(calcs["DeltaM"] > data["CoefMaxSgt"], data["ValueMax"], where(calcs["DeltaM"] < data["CoefMinSgt"], data["ValueMin"], 0)) + float(calcs["CoNz"]), 2) calcs["sgtft"] = round(((calcs["sgtft1"] * where(float(data["Min"]) > 75, calcs["Sgmx"], calcs["sgtft1"]) * where((float(data["Min"]) < 46 and float(data["Min"]) > 35), calcs["Sgmx"], (calcs["GtHm"] + calcs["gtam"]))) / 3) + (calcs["CoNz"] / 3), 2) i_goalstr = match["i_goal"][0].strip("'").split(", ") try: i_goal = float(i_goalstr) except TypeError: try: i_goal = max([float(x) for x in i_goalstr]) except ValueError: i_goal = 0 if calcs["sgtft1"] - i_goal: string = 'Over' else: string = 'Under' calcs["U/O"] = f'{string} {gol_line}' print(match) overall_preds.append(calcs) if match["status"] == 'full': calcs = {} unwanted_keys = ['h_id', 'a_id', 'hc', 'ac', 'hrc', 'arc', 'hyc', 'ayc', 'hf_hc', 'hf_ac', 'hf_hg', 'hf_ag', 'ish', 'hp', 'ap', 'asian_corner'] calcs.update({'Minute': match["status"]}) #results_preds.update(match) calcs["Nation"] = f'{match["h"]} vs {match["a"]}' calcs["CoNz"] = float(league_dict.get(match["h"])) if calcs["CoNz"] == 0: calcs["CoNz"] = float(league_dict.get(match["a"])) match["attacks_h"] = [] match["shot_on_h"] = [] calcs["Datk"] = round((float(match["dang_attacks"][0]) - float(match["dang_attacks"][1]))\ / float(data["Min"]), 2) calcs["GttpH"] = float(match["shot_on"][0]) * float(data["Ptph"]) calcs["GttfH"] = float(match["shot_off"][0]) * float(data["Ptfh"]) calcs["GttpA"] = float(match["shot_on"][1]) * float(data["Ptpa"]) calcs["GttfA"] = float(match["shot_off"][1]) * float(data["Ptfa"]) calcs["GtapH"] = float(match["dang_attacks"][0]) * float(data["PAtpH"]) calcs["GtapA"] = float(match["dang_attacks"][0]) * float(data["Patpa"]) calcs["GtHm"] = int((calcs["GttpH"] + calcs["GttfH"] + calcs["GtapH"])\ + calcs["Datk"] / 3) calcs["gtam"] = int((calcs["GttpH"] + calcs["GttfH"] + calcs["GtapH"])\ - calcs["Datk"] / 3) calcs["SgtM"] = where((where(calcs["GtHm"] < float(data["CofMinH"]), 0, calcs["GtHm"]) + where(calcs["gtam"] < float(data["CofMinA"]), 0, calcs["gtam"]) + calcs["CoNz"] < 0), 0, (where(calcs["GtHm"] < calcs["gtam"], 0, calcs["GtHm"]) + where(calcs["gtam"] < float(data["CofMinA"]), 0, calcs["gtam"]) + calcs["CoNz"])) calcs["Sgmx"] = int(match["hg"]) + int(match["ag"]) calcs["DeltaM"] = (( float(match["hg"]) - float(calcs["GtHm"])) * (float(match["ag"]) - calcs["gtam"]) * (float(calcs["Sgmx"]) - float(calcs["SgtM"]) )) / 3 calcs["GtFh"] = where(where(calcs["DeltaM"] > 1, ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2) / int(data["Min"]) * where(int(data["CoefMinH"]) < int(match["hg"]), int(match["hg"]), where(calcs["DeltaM"] > 1, ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2)) / data["Min"] * data["CoefMinH"]))) calcs["GtFh"] = where(where(calcs["DeltaM"] > 1, ((int(match["hg"]) * \ calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"]) < int(match["hg"]), int(match["hg"]), where(calcs["DeltaM"] > 1, ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"] - (calcs["DeltaM"] / 3), ((int(match["hg"]) * calcs["GtHm"]) / 2) / data["Min"] * data["CoefMinH"])) calcs["GtFa"] = where(where(calcs["DeltaM"] < -1, ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90 + (calcs["DeltaM"] / 3), ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90) < int(match["ag"]), int(match["ag"]), where(calcs["DeltaM"] < -1, ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90 + (calcs["DeltaM"] / 3), ((int(match["ag"]) * calcs["gtam"]) / 2) / 50 * 90)) calcs["sgtft1"] = where(calcs["GtFh"] < 0, 5, calcs["GtFh"]) + \ where(calcs["GtFa"] < 0, 7, calcs["GtFa"]) + \ where(calcs["DeltaM"] > data["CoefMaxSgt"], data["ValueMax"], where(calcs["DeltaM"] < data["CoefMinSgt"], data["ValueMin"], 0)) + float(calcs["CoNz"]) calcs["sgtft"] = ((calcs["sgtft1"] * where(float(data["Min"]) > 75, calcs["Sgmx"], calcs["sgtft1"]) * where((float(data["Min"]) < 46 and float(data["Min"]) > 35), calcs["Sgmx"], (calcs["GtHm"] + calcs["gtam"]))) / 3) + (calcs["CoNz"] / 3) if calcs["sgtft1"] - gol_line: string = 'Over' else: string = 'Under' calcs["U/O"] = f'{string} {gol_line}' overall_results.append(calcs) if len(results) > 0: for key in unwanted_keys: try: del results[key] except KeyError: pass if len(results_preds) > 0: for key in unwanted_keys: try: del results_preds[key] except KeyError: pass return overall_preds, overall_results

51.168889

117

0.448797

1,249

11,513

4.072058

0.115292

0.064491

0.051121

0.047188

0.825403

0.809674

0.803775

0.790405

0

0.02161

0.328759

11,513

224

118

51.397321

0.636517

0.010423

0

0.725888

0

0.155327

0

1

0.005076

false

0.010152

0.005076

0

0.015228

0.010152

0

null

0

1

0

1

0

null

0

7

c2665b3172487a86291cbc5a2e9228c5346150ca

7,747

py

Python

bindings/python/ensmallen_graph/datasets/linqs/citeseer.py

caufieldjh/ensmallen_graph

14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a

[ "MIT" ]

null

bindings/python/ensmallen_graph/datasets/linqs/citeseer.py

caufieldjh/ensmallen_graph

14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a

[ "MIT" ]

null

bindings/python/ensmallen_graph/datasets/linqs/citeseer.py

caufieldjh/ensmallen_graph

14e98b1cdbc73193a84a913d7d4f2b2b3eb2c43a

[ "MIT" ]

null

""" This file offers the methods to automatically retrieve the graph CiteSeer. The graph is automatically retrieved from the LINQS repository. The CiteSeer dataset consists of 3312 scientific publications classified into one of six classes. The citation network consists of 4732 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 3703 unique words. Report --------------------- At the time of rendering these methods (please see datetime below), the graph had the following characteristics: Datetime: 2021-02-13 10:41:49.820142 The undirected graph CiteSeer has 7030 nodes with 8 different node types: the 5 most common are Word (nodes number 3703), DB (nodes number 701), IR (nodes number 668), Agents (nodes number 596) and ML (nodes number 590) and 109841 unweighted edges with 2 different edge types: Paper2Word and Paper2Paper, of which 124 are self-loops. The graph is sparse as it has a density of 0.00444 and is connected, as it has a single component. The graph median node degree is 28, the mean node degree is 31.23, and the node degree mode is 5. The top 5 most central nodes are word_2568 (degree 704), word_65 (degree 670), word_729 (degree 651), word_601 (degree 627) and word_2615 (degree 607). References --------------------- Please cite the following if you use the data: @incollection{getoor2005link, title={Link-based classification}, author={Getoor, Lise}, booktitle={Advanced methods for knowledge discovery from complex data}, pages={189--207}, year={2005}, publisher={Springer} } @article{sen2008collective, title={Collective classification in network data}, author={Sen, Prithviraj and Namata, Galileo and Bilgic, Mustafa and Getoor, Lise and Galligher, Brian and Eliassi-Rad, Tina}, journal={AI magazine}, volume={29}, number={3}, pages={93--93}, year={2008} } Usage example ---------------------- The usage of this graph is relatively straightforward: .. code:: python # First import the function to retrieve the graph from the datasets from ensmallen_graph.datasets.linqs import CiteSeer # Then load the graph graph = CiteSeer() # Finally, you can do anything with it, for instance, compute its report: print(graph) # If you need to run a link prediction task with validation, # you can split the graph using a connected holdout as follows: train_graph, validation_graph = graph.connected_holdout( # You can use an 80/20 split the holdout, for example. train_size=0.8, # The random state is used to reproduce the holdout. random_state=42, # Wether to show a loading bar. verbose=True ) # Remember that, if you need, you can enable the memory-time trade-offs: train_graph.enable( vector_sources=True, vector_destinations=True, vector_outbounds=True ) # Consider using the methods made available in the Embiggen package # to run graph embedding or link prediction tasks. """ from typing import Dict from .parse_linqs import parse_linqs_incidence_matrix from ..automatic_graph_retrieval import AutomaticallyRetrievedGraph from ...ensmallen_graph import EnsmallenGraph # pylint: disable=import-error def CiteSeer( directed: bool = False, verbose: int = 2, cache_path: str = "graphs/linqs", **additional_graph_kwargs: Dict ) -> EnsmallenGraph: """Return new instance of the CiteSeer graph. The graph is automatically retrieved from the LINQS repository. The CiteSeer dataset consists of 3312 scientific publications classified into one of six classes. The citation network consists of 4732 links. Each publication in the dataset is described by a 0/1-valued word vector indicating the absence/presence of the corresponding word from the dictionary. The dictionary consists of 3703 unique words. Parameters ------------------- directed: bool = False, Wether to load the graph as directed or undirected. By default false. verbose: int = 2, Wether to show loading bars during the retrieval and building of the graph. cache_path: str = "graphs", Where to store the downloaded graphs. additional_graph_kwargs: Dict, Additional graph kwargs. Returns ----------------------- Instace of CiteSeer graph. Report --------------------- At the time of rendering these methods (please see datetime below), the graph had the following characteristics: Datetime: 2021-02-13 10:41:49.820142 The undirected graph CiteSeer has 7030 nodes with 8 different node types: the 5 most common are Word (nodes number 3703), DB (nodes number 701), IR (nodes number 668), Agents (nodes number 596) and ML (nodes number 590) and 109841 unweighted edges with 2 different edge types: Paper2Word and Paper2Paper, of which 124 are self-loops. The graph is sparse as it has a density of 0.00444 and is connected, as it has a single component. The graph median node degree is 28, the mean node degree is 31.23, and the node degree mode is 5. The top 5 most central nodes are word_2568 (degree 704), word_65 (degree 670), word_729 (degree 651), word_601 (degree 627) and word_2615 (degree 607). References --------------------- Please cite the following if you use the data: @incollection{getoor2005link, title={Link-based classification}, author={Getoor, Lise}, booktitle={Advanced methods for knowledge discovery from complex data}, pages={189--207}, year={2005}, publisher={Springer} } @article{sen2008collective, title={Collective classification in network data}, author={Sen, Prithviraj and Namata, Galileo and Bilgic, Mustafa and Getoor, Lise and Galligher, Brian and Eliassi-Rad, Tina}, journal={AI magazine}, volume={29}, number={3}, pages={93--93}, year={2008} } Usage example ---------------------- The usage of this graph is relatively straightforward: .. code:: python # First import the function to retrieve the graph from the datasets from ensmallen_graph.datasets.linqs import CiteSeer # Then load the graph graph = CiteSeer() # Finally, you can do anything with it, for instance, compute its report: print(graph) # If you need to run a link prediction task with validation, # you can split the graph using a connected holdout as follows: train_graph, validation_graph = graph.connected_holdout( # You can use an 80/20 split the holdout, for example. train_size=0.8, # The random state is used to reproduce the holdout. random_state=42, # Wether to show a loading bar. verbose=True ) # Remember that, if you need, you can enable the memory-time trade-offs: train_graph.enable( vector_sources=True, vector_destinations=True, vector_outbounds=True ) # Consider using the methods made available in the Embiggen package # to run graph embedding or link prediction tasks. """ return AutomaticallyRetrievedGraph( graph_name="CiteSeer", dataset="linqs", directed=directed, verbose=verbose, cache_path=cache_path, additional_graph_kwargs=additional_graph_kwargs, callbacks=[ parse_linqs_incidence_matrix ], callbacks_arguments=[ { "cites_path": "linqs/citeseer/citeseer/citeseer.cites", "content_path": "linqs/citeseer/citeseer/citeseer.content", "node_list_path": "linqs/citeseer/nodes.tsv", "edge_list_path": "linqs/citeseer/edges.tsv" } ] )()

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c2e3994a67949e9860b543ab0474157d7323beca

34

py

Python

bar/bar.py

PawelBogdan/AdditionalLibrary

ea7dfd69b998c57af7f7bc7490dbe26b649b4679

[ "MIT" ]

null

bar/bar.py

PawelBogdan/AdditionalLibrary

ea7dfd69b998c57af7f7bc7490dbe26b649b4679

[ "MIT" ]

null

bar/bar.py

PawelBogdan/AdditionalLibrary

ea7dfd69b998c57af7f7bc7490dbe26b649b4679

[ "MIT" ]

null

def f(): return "FOO BAR!!!"

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6c058c2e51b5e7ae0172dc1a97021a132586c837

289

py

Python

src/vigorish/cli/components/__init__.py

a-luna/vigorish

6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6

[ "MIT" ]

2

2021-07-15T13:53:33.000Z

2021-07-25T17:03:29.000Z

src/vigorish/cli/components/__init__.py

a-luna/vigorish

6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6

[ "MIT" ]

650

2019-05-18T07:00:12.000Z

2022-01-21T19:38:55.000Z

src/vigorish/cli/components/__init__.py

a-luna/vigorish

6cede5ced76c7d2c9ad0aacdbd2b18c2f1ee4ee6

[ "MIT" ]

2

2020-03-28T21:01:31.000Z

2022-01-06T05:16:11.000Z

# flake8: noqa from vigorish.cli.components.data_set_check import DataSetCheck from vigorish.cli.components.date_input import DateInput from vigorish.cli.components.job_name_input import JobNameInput from vigorish.cli.components.prompts import * from vigorish.cli.components.util import *

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1

0

7

6c32570603acb4e88589377c1bd8936afe15b718

38

py

Python

__init__.py

Mateil04/bcg_analysis

0eb1582439e00ff77634389e26c40ef573e09930

[ "MIT" ]

1

2020-11-04T09:56:46.000Z

__init__.py

Mateil04/bcg_analysis

0eb1582439e00ff77634389e26c40ef573e09930

[ "MIT" ]

null

__init__.py

Mateil04/bcg_analysis

0eb1582439e00ff77634389e26c40ef573e09930

[ "MIT" ]

null

from .bcg_analysis import Generate_BCG

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7

6c3d551ae0543efbea2ecb4b38db0c7bdca4dbd2

268

py

Python

checkov/common/checks_infra/solvers/__init__.py

niradler/checkov

2628c6f28a5604efe3877d6eacc3044d2b66b7b1

[ "Apache-2.0" ]

4,013

2019-12-09T13:16:54.000Z

2022-03-31T14:31:01.000Z

checkov/common/checks_infra/solvers/__init__.py

niradler/checkov

2628c6f28a5604efe3877d6eacc3044d2b66b7b1

[ "Apache-2.0" ]

1,258

2019-12-17T09:55:51.000Z

2022-03-31T19:17:17.000Z

checkov/common/checks_infra/solvers/__init__.py

niradler/checkov

2628c6f28a5604efe3877d6eacc3044d2b66b7b1

[ "Apache-2.0" ]

638

2019-12-19T08:57:38.000Z

2022-03-30T21:38:37.000Z

from checkov.common.checks_infra.solvers.attribute_solvers import * from checkov.common.checks_infra.solvers.complex_solvers import * from checkov.common.checks_infra.solvers.connections_solvers import * from checkov.common.checks_infra.solvers.filter_solvers import *

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7

6c77ce4dcb86308954ea80a4967b669b0d08eae0

217

py

Python

backend/streams_explorer/api/dependencies/dataflow_graph.py

twiechert/streams-explorer

7b5840f1efa0f7e352aef05ef8648188ee188f7a

[ "MIT" ]

24

2021-02-17T16:29:07.000Z

2022-01-03T05:13:31.000Z

backend/streams_explorer/api/dependencies/dataflow_graph.py

twiechert/streams-explorer

7b5840f1efa0f7e352aef05ef8648188ee188f7a

[ "MIT" ]

116

2021-02-03T08:44:27.000Z

2022-03-22T09:50:03.000Z

backend/streams_explorer/api/dependencies/dataflow_graph.py

twiechert/streams-explorer

7b5840f1efa0f7e352aef05ef8648188ee188f7a

[ "MIT" ]

2

2021-04-06T15:34:37.000Z

2021-05-14T16:52:44.000Z

from starlette.requests import Request from streams_explorer.core.services.dataflow_graph import DataFlowGraph def get_dataflow_graph(request: Request) -> DataFlowGraph: return request.app.state.dataflow_graph

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7

6c7e35dda1131aaa45a4045dd283e7ac40f11d9f

84

py

Python

day1/test_d1.py

agnul/AdventOfCode2019

422a8cc11889473e9a046f25131163fe0b67d6b5

[ "Unlicense" ]

null

day1/test_d1.py

agnul/AdventOfCode2019

422a8cc11889473e9a046f25131163fe0b67d6b5

[ "Unlicense" ]

null

day1/test_d1.py

agnul/AdventOfCode2019

422a8cc11889473e9a046f25131163fe0b67d6b5

[ "Unlicense" ]

null

from day1 import fuel_for_mass def test_fuel(): assert fuel_for_mass(2) == -2

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dd172ed876c103df3eb96c53ea9bf82cc0d4d109

54,411

py

Python

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/ospfv2/global_/timers/max_metric/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

64

2016-10-20T15:47:18.000Z

2021-11-11T11:57:32.000Z

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/ospfv2/global_/timers/max_metric/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

126

2016-10-05T10:36:14.000Z

2019-05-15T08:43:23.000Z

napalm_yang/models/openconfig/network_instances/network_instance/protocols/protocol/ospfv2/global_/timers/max_metric/state/__init__.py

ckishimo/napalm-yang

8f2bd907bd3afcde3c2f8e985192de74748baf6c

[ "Apache-2.0" ]

63

2016-11-07T15:23:08.000Z

2021-09-22T14:41:16.000Z

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/protocols/protocol/ospfv2/global/timers/max-metric/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Operational state parameters relating to setting the OSPFv2 maximum metric for a set of advertised entities. """ __slots__ = ( "_path_helper", "_extmethods", "__set_", "__timeout", "__include", "__trigger" ) _yang_name = "state" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__set_ = YANGDynClass( base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=False, ) self.__timeout = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) self.__include = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__trigger = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "ospfv2", "global", "timers", "max-metric", "state", ] def _get_set_(self): """ Getter method for set_, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/set (boolean) YANG Description: When this leaf is set to true, all non-stub interfaces of the local system are advertised with the maximum metric, such that the router does not act as a transit system, (similarly to the IS-IS overload functionality). """ return self.__set_ def _set_set_(self, v, load=False): """ Setter method for set_, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/set (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_set_ is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_set_() directly. YANG Description: When this leaf is set to true, all non-stub interfaces of the local system are advertised with the maximum metric, such that the router does not act as a transit system, (similarly to the IS-IS overload functionality). """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """set_ must be of a type compatible with boolean""", "defined-type": "boolean", "generated-type": """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""", } ) self.__set_ = t if hasattr(self, "_set"): self._set() def _unset_set_(self): self.__set_ = YANGDynClass( base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=False, ) def _get_timeout(self): """ Getter method for timeout, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/timeout (uint64) YANG Description: The delay, in seconds, after which the advertisement of entities with the maximum metric should be cleared, and the system reverts to the default, or configured, metrics. """ return self.__timeout def _set_timeout(self, v, load=False): """ Setter method for timeout, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/timeout (uint64) If this variable is read-only (config: false) in the source YANG file, then _set_timeout is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_timeout() directly. YANG Description: The delay, in seconds, after which the advertisement of entities with the maximum metric should be cleared, and the system reverts to the default, or configured, metrics. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """timeout must be of a type compatible with uint64""", "defined-type": "uint64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint64', is_config=False)""", } ) self.__timeout = t if hasattr(self, "_set"): self._set() def _unset_timeout(self): self.__timeout = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) def _get_include(self): """ Getter method for include, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/include (identityref) YANG Description: By default, the maximum metric is advertised for all non-stub interfaces of a device. When identities are specified within this leaf-list, additional entities are also advertised with the maximum metric according to the values within the list. """ return self.__include def _set_include(self, v, load=False): """ Setter method for include, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/include (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_include is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_include() directly. YANG Description: By default, the maximum metric is advertised for all non-stub interfaces of a device. When identities are specified within this leaf-list, additional entities are also advertised with the maximum metric according to the values within the list. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """include must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=TypedListType(allowed_type=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'MAX_METRIC_INCLUDE_STUB': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:MAX_METRIC_INCLUDE_STUB': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:MAX_METRIC_INCLUDE_STUB': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'MAX_METRIC_INCLUDE_TYPE2_EXTERNAL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}},)), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__include = t if hasattr(self, "_set"): self._set() def _unset_include(self): self.__include = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_trigger(self): """ Getter method for trigger, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/trigger (identityref) YANG Description: By default, the maximum metric is only advertised when the max-metric/set leaf is specified as true. In the case that identities are specified within this list, they provide additional triggers (e.g., system boot) that may cause the max-metric to be set. In this case, the system should still honour the timeout specified by the max-metric/timeout leaf, and clear the max-metric advertisements after the expiration of this timer. """ return self.__trigger def _set_trigger(self, v, load=False): """ Setter method for trigger, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/trigger (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_trigger is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_trigger() directly. YANG Description: By default, the maximum metric is only advertised when the max-metric/set leaf is specified as true. In the case that identities are specified within this list, they provide additional triggers (e.g., system boot) that may cause the max-metric to be set. In this case, the system should still honour the timeout specified by the max-metric/timeout leaf, and clear the max-metric advertisements after the expiration of this timer. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """trigger must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=TypedListType(allowed_type=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'MAX_METRIC_ON_SYSTEM_BOOT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}},)), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__trigger = t if hasattr(self, "_set"): self._set() def _unset_trigger(self): self.__trigger = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) set_ = __builtin__.property(_get_set_) timeout = __builtin__.property(_get_timeout) include = __builtin__.property(_get_include) trigger = __builtin__.property(_get_trigger) _pyangbind_elements = OrderedDict( [ ("set_", set_), ("timeout", timeout), ("include", include), ("trigger", trigger), ] ) class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/protocols/protocol/ospfv2/global/timers/max-metric/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Operational state parameters relating to setting the OSPFv2 maximum metric for a set of advertised entities. """ __slots__ = ( "_path_helper", "_extmethods", "__set_", "__timeout", "__include", "__trigger" ) _yang_name = "state" _pybind_generated_by = "container" def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__set_ = YANGDynClass( base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=False, ) self.__timeout = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) self.__include = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) self.__trigger = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path() + [self._yang_name] else: return [ "network-instances", "network-instance", "protocols", "protocol", "ospfv2", "global", "timers", "max-metric", "state", ] def _get_set_(self): """ Getter method for set_, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/set (boolean) YANG Description: When this leaf is set to true, all non-stub interfaces of the local system are advertised with the maximum metric, such that the router does not act as a transit system, (similarly to the IS-IS overload functionality). """ return self.__set_ def _set_set_(self, v, load=False): """ Setter method for set_, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/set (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_set_ is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_set_() directly. YANG Description: When this leaf is set to true, all non-stub interfaces of the local system are advertised with the maximum metric, such that the router does not act as a transit system, (similarly to the IS-IS overload functionality). """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """set_ must be of a type compatible with boolean""", "defined-type": "boolean", "generated-type": """YANGDynClass(base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""", } ) self.__set_ = t if hasattr(self, "_set"): self._set() def _unset_set_(self): self.__set_ = YANGDynClass( base=YANGBool, is_leaf=True, yang_name="set", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="boolean", is_config=False, ) def _get_timeout(self): """ Getter method for timeout, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/timeout (uint64) YANG Description: The delay, in seconds, after which the advertisement of entities with the maximum metric should be cleared, and the system reverts to the default, or configured, metrics. """ return self.__timeout def _set_timeout(self, v, load=False): """ Setter method for timeout, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/timeout (uint64) If this variable is read-only (config: false) in the source YANG file, then _set_timeout is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_timeout() directly. YANG Description: The delay, in seconds, after which the advertisement of entities with the maximum metric should be cleared, and the system reverts to the default, or configured, metrics. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """timeout must be of a type compatible with uint64""", "defined-type": "uint64", "generated-type": """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..18446744073709551615']}, int_size=64), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='uint64', is_config=False)""", } ) self.__timeout = t if hasattr(self, "_set"): self._set() def _unset_timeout(self): self.__timeout = YANGDynClass( base=RestrictedClassType( base_type=long, restriction_dict={"range": ["0..18446744073709551615"]}, int_size=64, ), is_leaf=True, yang_name="timeout", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="uint64", is_config=False, ) def _get_include(self): """ Getter method for include, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/include (identityref) YANG Description: By default, the maximum metric is advertised for all non-stub interfaces of a device. When identities are specified within this leaf-list, additional entities are also advertised with the maximum metric according to the values within the list. """ return self.__include def _set_include(self, v, load=False): """ Setter method for include, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/include (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_include is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_include() directly. YANG Description: By default, the maximum metric is advertised for all non-stub interfaces of a device. When identities are specified within this leaf-list, additional entities are also advertised with the maximum metric according to the values within the list. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """include must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=TypedListType(allowed_type=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'MAX_METRIC_INCLUDE_STUB': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:MAX_METRIC_INCLUDE_STUB': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:MAX_METRIC_INCLUDE_STUB': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'MAX_METRIC_INCLUDE_TYPE2_EXTERNAL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}},)), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__include = t if hasattr(self, "_set"): self._set() def _unset_include(self): self.__include = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_STUB": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_INCLUDE_TYPE2_EXTERNAL": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="include", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) def _get_trigger(self): """ Getter method for trigger, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/trigger (identityref) YANG Description: By default, the maximum metric is only advertised when the max-metric/set leaf is specified as true. In the case that identities are specified within this list, they provide additional triggers (e.g., system boot) that may cause the max-metric to be set. In this case, the system should still honour the timeout specified by the max-metric/timeout leaf, and clear the max-metric advertisements after the expiration of this timer. """ return self.__trigger def _set_trigger(self, v, load=False): """ Setter method for trigger, mapped from YANG variable /network_instances/network_instance/protocols/protocol/ospfv2/global/timers/max_metric/state/trigger (identityref) If this variable is read-only (config: false) in the source YANG file, then _set_trigger is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_trigger() directly. YANG Description: By default, the maximum metric is only advertised when the max-metric/set leaf is specified as true. In the case that identities are specified within this list, they provide additional triggers (e.g., system boot) that may cause the max-metric to be set. In this case, the system should still honour the timeout specified by the max-metric/timeout leaf, and clear the max-metric advertisements after the expiration of this timer. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass( v, base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) except (TypeError, ValueError): raise ValueError( { "error-string": """trigger must be of a type compatible with identityref""", "defined-type": "openconfig-network-instance:identityref", "generated-type": """YANGDynClass(base=TypedListType(allowed_type=RestrictedClassType(base_type=six.text_type, restriction_type="dict_key", restriction_arg={'MAX_METRIC_ON_SYSTEM_BOOT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}, 'oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT': {'@module': 'openconfig-ospf-types', '@namespace': 'http://openconfig.net/yang/ospf-types'}},)), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='identityref', is_config=False)""", } ) self.__trigger = t if hasattr(self, "_set"): self._set() def _unset_trigger(self): self.__trigger = YANGDynClass( base=TypedListType( allowed_type=RestrictedClassType( base_type=six.text_type, restriction_type="dict_key", restriction_arg={ "MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospf-types:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, "oc-ospft:MAX_METRIC_ON_SYSTEM_BOOT": { "@module": "openconfig-ospf-types", "@namespace": "http://openconfig.net/yang/ospf-types", }, }, ) ), is_leaf=False, yang_name="trigger", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace="http://openconfig.net/yang/network-instance", defining_module="openconfig-network-instance", yang_type="identityref", is_config=False, ) set_ = __builtin__.property(_get_set_) timeout = __builtin__.property(_get_timeout) include = __builtin__.property(_get_include) trigger = __builtin__.property(_get_trigger) _pyangbind_elements = OrderedDict( [ ("set_", set_), ("timeout", timeout), ("include", include), ("trigger", trigger), ] )

46.465414

1,256

0.556285

5,346

54,411

5.454545

0.047138

0.051852

0.08203

0.09273

0.98714

0.979698

0

0.007796

0.339913

54,411

1,170

1,257

46.505128

0.804098

0.189576

0

0.832244

0

0.008715

0.345171

0.15442

0

1

0.030501

false

0

0.01634

0

0.079521

0

null

0

1

0

1

0

1

0

null

0

8

dd4bfe6ab18e48a9f82bec85bbc8b4e548b7d05d

101

py

Python

veros/setups/global_flexible/__init__.py

AkasDutta/veros

9f530596a0148a398829050017de3e01a71261a0

[ "MIT" ]

115

2019-11-23T02:31:30.000Z

2022-03-29T12:58:30.000Z

veros/setups/global_flexible/__init__.py

AkasDutta/veros

9f530596a0148a398829050017de3e01a71261a0

[ "MIT" ]

207

2019-11-21T13:21:22.000Z

2022-03-31T23:36:09.000Z

veros/setups/global_flexible/__init__.py

AkasDutta/veros

9f530596a0148a398829050017de3e01a71261a0

[ "MIT" ]

21

2020-01-28T13:13:39.000Z

2022-02-02T13:46:33.000Z

from veros.setups.global_flexible.global_flexible import GlobalFlexibleResolutionSetup # noqa: F401

50.5

100

0.871287

11

101

7.818182

0.818182

0.325581

0

0.032258

0.079208

101

1

101

0.892473

0.09901

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

660af869b370530ef30d6c8acfd09ec07324f139

2,022

py

Python

predict-py.py

kristinepetrosyan/spamemailclassify

a0998958a7069b301e337cf1982cbac618420eba

[ "MIT" ]

null

predict-py.py

kristinepetrosyan/spamemailclassify

a0998958a7069b301e337cf1982cbac618420eba

[ "MIT" ]

null

predict-py.py

kristinepetrosyan/spamemailclassify

a0998958a7069b301e337cf1982cbac618420eba

[ "MIT" ]

null

{"cells":[{"metadata":{"_uuid":"9675078f-2f01-4e9e-8d52-4f1bf7e90718","_cell_guid":"2b3a4220-20af-4ba3-89bd-7a1f7fffd9aa","trusted":true},"cell_type":"code","source":"from joblib import load\nfrom preprocess import prep_data\nimport time\nimport os\n\n\n###############################################################################\n# MODEL PREDICTIONS #\n###############################################################################\n\ndef predict(s):\n\n X_string = prep_data(s)\n\n # loading the model\n spam_classifier = load(os.path.join(\"model\", \"svm_spam_classifier.joblib\"))\n\n # predicting\n spam_classifier_pred = spam_classifier.predict(X_string[\"clean_text\"])\n\n if spam_classifier_pred == 1:\n result = \"Spam\"\n else:\n result = \"Not Spam\"\n\n return result\n\n\n###############################################################################\n# MAIN #\n###############################################################################\n\nif __name__ == \"__main__\":\n\n t = time.time()\n string = \"\"\"We have filled the role and unfortunately, we will not be moving forward with your candidacy. Thank you again for your application, and time. We are a fast growing company, and our roles are constantly changing. Watch our job openings at Careers for future opportunities.\n We wish you the best in your endeavors. \"\"\"\n print(string)\n print(predict(string))\n print(f\"Preprocessing Time: {time.time() - t} seconds\")","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat":4,"nbformat_minor":4}

2,022

0.541543

236

2,022

4.5

0.550847

0.026365

0.011299

0.007533

0

0.028655

0.154303

2,022

1

2,022

0.592398

0

2

0.693524

0.242709

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

9

66148a4106865da76f6dea65d4ecc0762716bb5e

17,047

py

Python

python_code/tiny_tile_server/python_wmts.py

jharpster/WMTS

59768683ea96cdf3e5520e3209f2edd2644d1bd4

[ "Unlicense" ]

4

2016-07-29T08:00:44.000Z

2019-11-29T16:08:20.000Z

python_code/tiny_tile_server/python_wmts.py

carmencampos/WMTS

59768683ea96cdf3e5520e3209f2edd2644d1bd4

[ "Unlicense" ]

null

python_code/tiny_tile_server/python_wmts.py

carmencampos/WMTS

59768683ea96cdf3e5520e3209f2edd2644d1bd4

[ "Unlicense" ]

null

import bottle import python_server from python_server import * python_wmts = bottle.Bottle() def get_tile_wmts(mylayer, x, y, z, ext): mercator = GlobalMercator() layer = mylayer mytitle = title config = config_url[0] TileMatrix = z TileCol = x TileRow = y global mymaps mymaps = maps() m = mymaps[0] basename = m['basename'] profile = m['profile'] bounds = m['bounds'] format = m['format'] mime = 'image/jpeg' if (format == 'jpg') else 'image/png' if (profile == 'geodetic'): tileMatrixSet = "WGS84" else: tileMatrixSet = "GoogleMapsCompatible" a = bounds[1] b = bounds[0] c = bounds[3] d = bounds[2] (minx, miny) = mercator.LatLonToMeters(float(a), float(b)) (maxx, maxy) = mercator.LatLonToMeters(float(c), float(d)) bounds3857 = [minx, miny, maxx, maxy] # Here is described and created the getCapabilities information in XML # Following its specification # http://www.opengeospatial.org/standards/wmts bottle.response.content_type = "application/xml" return """ <Capabilities xmlns="http://www.opengis.net/wmts/1.0" xmlns:ows="http://www.opengis.net/ows/1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:gml="http://www.opengis.net/gml" xsi:schemaLocation="http://www.opengis.net/wmts/1.0 http://schemas.opengis.net/wmts/1.0/wmtsGetCapabilities_response.xsd" version="1.0.0">  <ows:ServiceIdentification> <ows:Title>"""+ mytitle +"""</ows:Title> <ows:ServiceType>OGC WMTS</ows:ServiceType> <ows:ServiceTypeVersion>1.0.0</ows:ServiceTypeVersion> </ows:ServiceIdentification>  <ows:OperationsMetadata> <ows:Operation name="GetCapabilities"> <ows:DCP> <ows:HTTP> <ows:Get xlink:href='"""+ config +"""wmts/1.0.0/WMTSCapabilities.xml'> <ows:Constraint name="GetEncoding"> <ows:AllowedValues> <ows:Value>RESTful</ows:Value> </ows:AllowedValues> </ows:Constraint> </ows:Get>  <ows:Get xlink:href='"""+ config +"""wmts?'> <ows:Constraint name="GetEncoding"> <ows:AllowedValues> <ows:Value>KVP</ows:Value> </ows:AllowedValues> </ows:Constraint> </ows:Get> </ows:HTTP> </ows:DCP> </ows:Operation> <ows:Operation name="GetTile"> <ows:DCP> <ows:HTTP> <ows:Get xlink:href='"""+ config +"""api/tile/"""+ basename +"""'> <ows:Constraint name="GetEncoding"> <ows:AllowedValues> <ows:Value>RESTful</ows:Value> </ows:AllowedValues> </ows:Constraint> </ows:Get> <ows:Get xlink:href='"""+ config +"""api/tile/"""+ basename +"""'> <ows:Constraint name="GetEncoding"> <ows:AllowedValues> <ows:Value>KVP</ows:Value> </ows:AllowedValues> </ows:Constraint> </ows:Get> </ows:HTTP> </ows:DCP> </ows:Operation> </ows:OperationsMetadata> <Contents> <Layer> <ows:Title>"""+ basename +"""</ows:Title> <ows:Identifier>"""+ basename +"""</ows:Identifier> <ows:WGS84BoundingBox crs="urn:ogc:def:crs:OGC:2:84"> <ows:LowerCorner>"""+ bounds[0] + ' ' + bounds[1] +"""</ows:LowerCorner> <ows:UpperCorner>"""+ bounds[2] + ' ' + bounds[3] +"""</ows:UpperCorner> </ows:WGS84BoundingBox> <Style isDefault="true"> <ows:Identifier>default</ows:Identifier> </Style> <Format>"""+ mime +"""</Format> <TileMatrixSetLink> <TileMatrixSet>"""+ tileMatrixSet +"""</TileMatrixSet> </TileMatrixSetLink> <ResourceURL format="mime" resourceType="tile" template='"""+ config +"""api/tile/"""+ basename +"""/"""+ TileMatrix +"""/"""+ TileCol +"""/"""+ TileRow +"""."""+ format +"""'/> </Layer>  <TileMatrixSet> <ows:Title>GoogleMapsCompatible</ows:Title> <ows:Abstract>'GoogleMapsCompatible' tile matrix set defined by OGC WMTS specification</ows:Abstract> <ows:Identifier>GoogleMapsCompatible</ows:Identifier> <ows:SupportedCRS>urn:ogc:def:crs:EPSG:6.18:3:3857</ows:SupportedCRS> <WellKnownScaleSet>urn:ogc:def:wkss:OGC:1.0:GoogleMapsCompatible</WellKnownScaleSet> <TileMatrix> <ows:Identifier>0</ows:Identifier> <ScaleDenominator>559082264.0287178</ScaleDenominator> <TopLeftCorner>-20037508.34278925 20037508.34278925</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>1</MatrixWidth> <MatrixHeight>1</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>1</ows:Identifier> <ScaleDenominator>279541132.0143589</ScaleDenominator> <TopLeftCorner>-20037508.34278925 20037508.34278925</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>2</MatrixWidth> <MatrixHeight>2</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>2</ows:Identifier> <ScaleDenominator>139770566.0071794</ScaleDenominator> <TopLeftCorner>-20037508.34278925 20037508.34278925</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>4</MatrixWidth> <MatrixHeight>4</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>3</ows:Identifier> <ScaleDenominator>69885283.00358972</ScaleDenominator> <TopLeftCorner>-20037508.34278925 20037508.34278925</TopLeftCorner> <TileWidth>256</TileWidth> <TileHeight>256</TileHeight> <MatrixWidth>8</MatrixWidth> <MatrixHeight>8</MatrixHeight> </TileMatrix> <TileMatrix> <ows:Identifier>4</ows:Identifier> 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Python

src/test/resources/nsgConvertedModel/main_script.py

openworm/org.geppetto.simulator.external

97313038fba475bedc80fe8e52c4db3c9994d417

[ "MIT" ]

2

2016-12-12T12:33:56.000Z

2021-03-06T16:30:24.000Z

src/test/resources/nsgConvertedModel/main_script.py

openworm/org.geppetto.simulator.external

97313038fba475bedc80fe8e52c4db3c9994d417

[ "MIT" ]

17

2015-02-25T19:33:10.000Z

2021-03-24T17:31:52.000Z

src/test/resources/nsgConvertedModel/main_script.py

openworm/org.geppetto.simulator.external

97313038fba475bedc80fe8e52c4db3c9994d417

[ "MIT" ]

null

''' Neuron simulator export for: Components: network_ACnet2 (Type: networkWithTemperature: temperature=279.45 (SI temperature)) sim1 (Type: Simulation: length=0.3 (SI time) step=1.0E-5 (SI time)) This NEURON file has been generated by org.neuroml.export (see https://github.com/NeuroML/org.neuroml.export) org.neuroml.export v1.4.4 org.neuroml.model v1.4.4 jLEMS v0.9.8.4 ''' import neuron import time h = neuron.h h.load_file("stdlib.hoc") h.load_file("stdgui.hoc") h("objref p") h("p = new PythonObject()") # Adding simulation Component(id=sim1 type=Simulation) of network/component: network_ACnet2 (Type: networkWithTemperature: temperature=279.45 (SI temperature)) # Temperature used for network: 279.45 K h.celsius = 279.45 - 273.15 print("Population pyramidals_48 contains 48 instance(s) of component: pyr_4_sym of type: cell") print("Setting the default initial concentrations for ca (used in pyr_4_sym) to 5.0E-5 mM (internal), 3.0 mM (external)") h("cai0_ca_ion = 5.0E-5") h("cao0_ca_ion = 3.0") h.load_file("pyr_4_sym.hoc") a_pyramidals_48 = [] h("n_pyramidals_48 = 48") h("objectvar a_pyramidals_48[n_pyramidals_48]") for i in range(int(h.n_pyramidals_48)): h("a_pyramidals_48[%i] = new pyr_4_sym()"%i) h("access a_pyramidals_48[%i].soma"%i) h("a_pyramidals_48[0].position(64.2564, 0.68375766, 94.83054)") h("a_pyramidals_48[1].position(384.13205, 31.320269, 105.99679)") h("a_pyramidals_48[2].position(176.90724, 31.218168, 84.67269)") h("a_pyramidals_48[3].position(254.302, 31.820261, 345.84885)") h("a_pyramidals_48[4].position(233.95702, 31.835752, 451.20184)") h("a_pyramidals_48[5].position(209.1071, 28.383997, 130.2079)") h("a_pyramidals_48[6].position(92.42472, 43.18615, 201.11111)") h("a_pyramidals_48[7].position(377.63718, 4.9532323, 102.319244)") h("a_pyramidals_48[8].position(226.27583, 14.309091, 12.907714)") h("a_pyramidals_48[9].position(120.41029, 30.946571, 38.68389)") h("a_pyramidals_48[10].position(29.497803, 19.15662, 7.760048)") h("a_pyramidals_48[11].position(441.84177, 24.596628, 431.78842)") h("a_pyramidals_48[12].position(80.34852, 11.467603, 259.14386)") h("a_pyramidals_48[13].position(293.62384, 26.579428, 88.35277)") h("a_pyramidals_48[14].position(372.12997, 12.358931, 104.25025)") h("a_pyramidals_48[15].position(154.9465, 1.1012793, 337.73508)") h("a_pyramidals_48[17].position(149.21432, 2.4104266, 211.67845)") h("a_pyramidals_48[16].position(42.568623, 24.733513, 160.91415)") h("a_pyramidals_48[19].position(116.32267, 0.893867, 210.1003)") h("a_pyramidals_48[18].position(370.8707, 20.354103, 261.4979)") h("a_pyramidals_48[21].position(296.66055, 22.536308, 188.89275)") h("a_pyramidals_48[20].position(340.24274, 37.029236, 414.92313)") h("a_pyramidals_48[23].position(183.67686, 8.052197, 366.93832)") h("a_pyramidals_48[22].position(455.41083, 33.41776, 391.59827)") h("a_pyramidals_48[25].position(155.74449, 6.9379034, 381.37143)") h("a_pyramidals_48[24].position(269.1906, 22.978321, 74.24378)") h("a_pyramidals_48[27].position(141.85143, 13.045913, 455.24518)") h("a_pyramidals_48[26].position(79.68346, 7.487023, 4.2252245)") h("a_pyramidals_48[29].position(202.82713, 47.069958, 221.71712)") h("a_pyramidals_48[28].position(349.232, 22.139315, 82.177666)") h("a_pyramidals_48[31].position(114.604294, 22.551754, 189.43771)") h("a_pyramidals_48[30].position(180.02779, 4.136366, 85.817245)") h("a_pyramidals_48[34].position(292.8651, 33.785324, 437.0381)") h("a_pyramidals_48[35].position(277.8085, 22.897953, 419.0507)") h("a_pyramidals_48[32].position(476.5766, 13.345018, 286.93124)") h("a_pyramidals_48[33].position(222.39757, 19.97535, 179.3524)") h("a_pyramidals_48[38].position(464.8008, 41.65847, 435.4519)") h("a_pyramidals_48[39].position(342.59195, 11.596251, 385.38443)") h("a_pyramidals_48[36].position(401.05313, 17.756813, 136.69092)") h("a_pyramidals_48[37].position(111.605644, 14.521578, 98.30111)") h("a_pyramidals_48[42].position(457.70523, 36.229473, 276.8031)") h("a_pyramidals_48[43].position(410.01364, 0.4988253, 168.5312)") h("a_pyramidals_48[40].position(98.5086, 24.474636, 238.42198)") h("a_pyramidals_48[41].position(340.69547, 1.0447562, 433.7042)") h("a_pyramidals_48[46].position(371.42322, 45.394405, 304.68243)") h("a_pyramidals_48[47].position(233.55005, 22.25557, 245.82697)") h("a_pyramidals_48[44].position(56.39708, 44.266815, 49.969612)") h("a_pyramidals_48[45].position(104.02322, 11.90106, 66.28305)") h("proc initialiseV_pyramidals_48() { for i = 0, n_pyramidals_48-1 { a_pyramidals_48[i].set_initial_v() } }") h("objref fih_pyramidals_48") h('{fih_pyramidals_48 = new FInitializeHandler(0, "initialiseV_pyramidals_48()")}') h("proc initialiseIons_pyramidals_48() { for i = 0, n_pyramidals_48-1 { a_pyramidals_48[i].set_initial_ion_properties() } }") h("objref fih_ion_pyramidals_48") h('{fih_ion_pyramidals_48 = new FInitializeHandler(1, "initialiseIons_pyramidals_48()")}') print("Population baskets_12 contains 12 instance(s) of component: bask of type: cell") h.load_file("bask.hoc") a_baskets_12 = [] h("n_baskets_12 = 12") h("objectvar a_baskets_12[n_baskets_12]") for i in range(int(h.n_baskets_12)): h("a_baskets_12[%i] = new bask()"%i) h("access a_baskets_12[%i].soma"%i) h("a_baskets_12[0].position(372.5585, 75.342545, 459.21057)") h("a_baskets_12[1].position(454.36914, 81.974014, 18.664598)") h("a_baskets_12[2].position(74.28688, 98.43723, 496.8198)") h("a_baskets_12[3].position(14.001072, 51.298218, 495.64935)") h("a_baskets_12[4].position(104.659615, 96.06993, 361.19162)") h("a_baskets_12[5].position(333.19098, 88.59382, 26.893526)") h("a_baskets_12[6].position(198.22571, 70.067604, 211.09044)") h("a_baskets_12[7].position(343.9047, 86.86429, 437.88196)") h("a_baskets_12[8].position(339.1037, 96.47412, 354.17966)") h("a_baskets_12[9].position(137.89124, 92.33597, 175.69292)") h("a_baskets_12[10].position(52.321255, 93.11778, 447.05573)") h("a_baskets_12[11].position(89.09762, 99.38623, 16.496897)") h("proc initialiseV_baskets_12() { for i = 0, n_baskets_12-1 { a_baskets_12[i].set_initial_v() } }") h("objref fih_baskets_12") h('{fih_baskets_12 = new FInitializeHandler(0, "initialiseV_baskets_12()")}') h("proc initialiseIons_baskets_12() { for i = 0, n_baskets_12-1 { a_baskets_12[i].set_initial_ion_properties() } }") h("objref fih_ion_baskets_12") h('{fih_ion_baskets_12 = new FInitializeHandler(1, "initialiseIons_baskets_12()")}') # Adding projection: SmallNet_bask_bask, from baskets_12 to baskets_12 with synapse GABA_syn_inh, 60 connection(s) h("objectvar syn_SmallNet_bask_bask_GABA_syn_inh[60]") # Connection 0: 3, seg 0 (0.416606) -> 0, seg 0 (0.685771) h("a_baskets_12[0].soma syn_SmallNet_bask_bask_GABA_syn_inh[0] = new GABA_syn_inh(0.685771)") h("a_baskets_12[3].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.41660583), syn_SmallNet_bask_bask_GABA_syn_inh[0], 0.0, 0.0, 1.0))") # Connection 1: 3, seg 0 (0.787689) -> 0, seg 0 (0.340524) h("a_baskets_12[0].soma syn_SmallNet_bask_bask_GABA_syn_inh[1] = new GABA_syn_inh(0.340524)") h("a_baskets_12[3].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.7876892), syn_SmallNet_bask_bask_GABA_syn_inh[1], 0.0, 0.0, 1.0))") # Connection 2: 6, seg 0 (0.424612) -> 0, seg 0 (0.822448) h("a_baskets_12[0].soma syn_SmallNet_bask_bask_GABA_syn_inh[2] = new GABA_syn_inh(0.822448)") h("a_baskets_12[6].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.42461205), syn_SmallNet_bask_bask_GABA_syn_inh[2], 0.0, 0.0, 1.0))") # Connection 3: 11, seg 0 (0.950093) -> 0, seg 0 (0.314711) h("a_baskets_12[0].soma syn_SmallNet_bask_bask_GABA_syn_inh[3] = new GABA_syn_inh(0.314711)") h("a_baskets_12[11].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.9500934), syn_SmallNet_bask_bask_GABA_syn_inh[3], 0.0, 0.0, 1.0))") # Connection 4: 1, seg 0 (0.255018) -> 0, seg 0 (0.425168) h("a_baskets_12[0].soma syn_SmallNet_bask_bask_GABA_syn_inh[4] = new GABA_syn_inh(0.425168)") h("a_baskets_12[1].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.2550183), syn_SmallNet_bask_bask_GABA_syn_inh[4], 0.0, 0.0, 1.0))") # Connection 5: 6, seg 0 (0.624269) -> 1, seg 0 (0.473862) h("a_baskets_12[1].soma syn_SmallNet_bask_bask_GABA_syn_inh[5] = new GABA_syn_inh(0.473862)") h("a_baskets_12[6].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.62426937), syn_SmallNet_bask_bask_GABA_syn_inh[5], 0.0, 0.0, 1.0))") # Connection 6: 0, seg 0 (0.893419) -> 1, seg 0 (0.716105) h("a_baskets_12[1].soma syn_SmallNet_bask_bask_GABA_syn_inh[6] = new GABA_syn_inh(0.716105)") h("a_baskets_12[0].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.8934188), syn_SmallNet_bask_bask_GABA_syn_inh[6], 0.0, 0.0, 1.0))") # Connection 7: 2, seg 0 (0.759285) -> 1, seg 0 (0.604111) h("a_baskets_12[1].soma syn_SmallNet_bask_bask_GABA_syn_inh[7] = new GABA_syn_inh(0.604111)") h("a_baskets_12[2].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.7592852), syn_SmallNet_bask_bask_GABA_syn_inh[7], 0.0, 0.0, 1.0))") # Connection 8: 9, seg 0 (0.045865) -> 1, seg 0 (0.044528) h("a_baskets_12[1].soma syn_SmallNet_bask_bask_GABA_syn_inh[8] = new GABA_syn_inh(0.044528)") h("a_baskets_12[9].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.045865357), syn_SmallNet_bask_bask_GABA_syn_inh[8], 0.0, 0.0, 1.0))") # Connection 9: 2, seg 0 (0.622715) -> 1, seg 0 (0.889082) h("a_baskets_12[1].soma syn_SmallNet_bask_bask_GABA_syn_inh[9] = new GABA_syn_inh(0.889082)") h("a_baskets_12[2].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.6227148), syn_SmallNet_bask_bask_GABA_syn_inh[9], 0.0, 0.0, 1.0))") # Connection 10: 8, seg 0 (0.422401) -> 2, seg 0 (0.503136) h("a_baskets_12[2].soma syn_SmallNet_bask_bask_GABA_syn_inh[10] = new GABA_syn_inh(0.503136)") h("a_baskets_12[8].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.42240143), syn_SmallNet_bask_bask_GABA_syn_inh[10], 0.0, 0.0, 1.0))") # Connection 11: 3, seg 0 (0.225164) -> 2, seg 0 (0.112254) h("a_baskets_12[2].soma syn_SmallNet_bask_bask_GABA_syn_inh[11] = new GABA_syn_inh(0.112254)") h("a_baskets_12[3].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.22516418), syn_SmallNet_bask_bask_GABA_syn_inh[11], 0.0, 0.0, 1.0))") # Connection 12: 9, seg 0 (0.244167) -> 2, seg 0 (0.183087) h("a_baskets_12[2].soma syn_SmallNet_bask_bask_GABA_syn_inh[12] = new GABA_syn_inh(0.183087)") h("a_baskets_12[9].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.24416727), syn_SmallNet_bask_bask_GABA_syn_inh[12], 0.0, 0.0, 1.0))") # Connection 13: 7, seg 0 (0.945036) -> 2, seg 0 (0.133165) h("a_baskets_12[2].soma syn_SmallNet_bask_bask_GABA_syn_inh[13] = new GABA_syn_inh(0.133165)") h("a_baskets_12[7].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.94503635), syn_SmallNet_bask_bask_GABA_syn_inh[13], 0.0, 0.0, 1.0))") # Connection 14: 1, seg 0 (0.451799) -> 2, seg 0 (0.552482) h("a_baskets_12[2].soma syn_SmallNet_bask_bask_GABA_syn_inh[14] = new GABA_syn_inh(0.552482)") h("a_baskets_12[1].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.45179862), syn_SmallNet_bask_bask_GABA_syn_inh[14], 0.0, 0.0, 1.0))") # Connection 15: 9, seg 0 (0.245043) -> 3, seg 0 (0.102446) h("a_baskets_12[3].soma syn_SmallNet_bask_bask_GABA_syn_inh[15] = new GABA_syn_inh(0.102446)") h("a_baskets_12[9].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.24504328), syn_SmallNet_bask_bask_GABA_syn_inh[15], 0.0, 0.0, 1.0))") # Connection 16: 4, seg 0 (0.282358) -> 3, seg 0 (0.925143) h("a_baskets_12[3].soma syn_SmallNet_bask_bask_GABA_syn_inh[16] = new GABA_syn_inh(0.925143)") h("a_baskets_12[4].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.28235823), syn_SmallNet_bask_bask_GABA_syn_inh[16], 0.0, 0.0, 1.0))") # Connection 17: 10, seg 0 (0.922459) -> 3, seg 0 (0.283169) h("a_baskets_12[3].soma syn_SmallNet_bask_bask_GABA_syn_inh[17] = new GABA_syn_inh(0.283169)") h("a_baskets_12[10].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.92245895), syn_SmallNet_bask_bask_GABA_syn_inh[17], 0.0, 0.0, 1.0))") # Connection 18: 11, seg 0 (0.332195) -> 3, seg 0 (0.253767) h("a_baskets_12[3].soma syn_SmallNet_bask_bask_GABA_syn_inh[18] = new GABA_syn_inh(0.253767)") h("a_baskets_12[11].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.3321947), syn_SmallNet_bask_bask_GABA_syn_inh[18], 0.0, 0.0, 1.0))") # Connection 19: 1, seg 0 (0.982219) -> 3, seg 0 (0.604215) h("a_baskets_12[3].soma syn_SmallNet_bask_bask_GABA_syn_inh[19] = new GABA_syn_inh(0.604215)") h("a_baskets_12[1].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.9822189), syn_SmallNet_bask_bask_GABA_syn_inh[19], 0.0, 0.0, 1.0))") # Connection 20: 0, seg 0 (0.697187) -> 4, seg 0 (0.493495) h("a_baskets_12[4].soma syn_SmallNet_bask_bask_GABA_syn_inh[20] = new GABA_syn_inh(0.493495)") h("a_baskets_12[0].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.69718724), syn_SmallNet_bask_bask_GABA_syn_inh[20], 0.0, 0.0, 1.0))") # Connection 21: 11, seg 0 (0.501080) -> 4, seg 0 (0.295666) h("a_baskets_12[4].soma syn_SmallNet_bask_bask_GABA_syn_inh[21] = new GABA_syn_inh(0.295666)") h("a_baskets_12[11].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.50108), syn_SmallNet_bask_bask_GABA_syn_inh[21], 0.0, 0.0, 1.0))") # Connection 22: 1, seg 0 (0.649818) -> 4, seg 0 (0.332438) h("a_baskets_12[4].soma syn_SmallNet_bask_bask_GABA_syn_inh[22] = new GABA_syn_inh(0.332438)") h("a_baskets_12[1].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.649818), syn_SmallNet_bask_bask_GABA_syn_inh[22], 0.0, 0.0, 1.0))") # Connection 23: 11, seg 0 (0.047697) -> 4, seg 0 (0.226918) h("a_baskets_12[4].soma syn_SmallNet_bask_bask_GABA_syn_inh[23] = new GABA_syn_inh(0.226918)") h("a_baskets_12[11].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.04769653), syn_SmallNet_bask_bask_GABA_syn_inh[23], 0.0, 0.0, 1.0))") # Connection 24: 0, seg 0 (0.994105) -> 4, seg 0 (0.104700) h("a_baskets_12[4].soma syn_SmallNet_bask_bask_GABA_syn_inh[24] = new GABA_syn_inh(0.104700)") h("a_baskets_12[0].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.994105), syn_SmallNet_bask_bask_GABA_syn_inh[24], 0.0, 0.0, 1.0))") # Connection 25: 9, seg 0 (0.106531) -> 5, seg 0 (0.349218) h("a_baskets_12[5].soma syn_SmallNet_bask_bask_GABA_syn_inh[25] = new GABA_syn_inh(0.349218)") h("a_baskets_12[9].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.10653067), syn_SmallNet_bask_bask_GABA_syn_inh[25], 0.0, 0.0, 1.0))") # Connection 26: 2, seg 0 (0.728460) -> 5, seg 0 (0.274321) h("a_baskets_12[5].soma syn_SmallNet_bask_bask_GABA_syn_inh[26] = new GABA_syn_inh(0.274321)") h("a_baskets_12[2].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.72845984), syn_SmallNet_bask_bask_GABA_syn_inh[26], 0.0, 0.0, 1.0))") # Connection 27: 7, seg 0 (0.767730) -> 5, seg 0 (0.509782) h("a_baskets_12[5].soma syn_SmallNet_bask_bask_GABA_syn_inh[27] = new GABA_syn_inh(0.509782)") h("a_baskets_12[7].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.76773024), syn_SmallNet_bask_bask_GABA_syn_inh[27], 0.0, 0.0, 1.0))") # Connection 28: 0, seg 0 (0.464671) -> 5, seg 0 (0.238544) h("a_baskets_12[5].soma syn_SmallNet_bask_bask_GABA_syn_inh[28] = new GABA_syn_inh(0.238544)") h("a_baskets_12[0].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.46467108), syn_SmallNet_bask_bask_GABA_syn_inh[28], 0.0, 0.0, 1.0))") # Connection 29: 11, seg 0 (0.588630) -> 5, seg 0 (0.080469) h("a_baskets_12[5].soma syn_SmallNet_bask_bask_GABA_syn_inh[29] = new GABA_syn_inh(0.080469)") h("a_baskets_12[11].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.5886299), syn_SmallNet_bask_bask_GABA_syn_inh[29], 0.0, 0.0, 1.0))") # Connection 30: 9, seg 0 (0.197218) -> 6, seg 0 (0.901784) h("a_baskets_12[6].soma syn_SmallNet_bask_bask_GABA_syn_inh[30] = new GABA_syn_inh(0.901784)") h("a_baskets_12[9].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.19721818), syn_SmallNet_bask_bask_GABA_syn_inh[30], 0.0, 0.0, 1.0))") # Connection 31: 5, seg 0 (0.439046) -> 6, seg 0 (0.038998) h("a_baskets_12[6].soma syn_SmallNet_bask_bask_GABA_syn_inh[31] = new GABA_syn_inh(0.038998)") h("a_baskets_12[5].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.43904626), syn_SmallNet_bask_bask_GABA_syn_inh[31], 0.0, 0.0, 1.0))") # Connection 32: 11, seg 0 (0.946904) -> 6, seg 0 (0.301489) h("a_baskets_12[6].soma syn_SmallNet_bask_bask_GABA_syn_inh[32] = new GABA_syn_inh(0.301489)") h("a_baskets_12[11].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.946904), syn_SmallNet_bask_bask_GABA_syn_inh[32], 0.0, 0.0, 1.0))") # Connection 33: 0, seg 0 (0.231292) -> 6, seg 0 (0.356746) h("a_baskets_12[6].soma syn_SmallNet_bask_bask_GABA_syn_inh[33] = new GABA_syn_inh(0.356746)") h("a_baskets_12[0].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.23129213), syn_SmallNet_bask_bask_GABA_syn_inh[33], 0.0, 0.0, 1.0))") # Connection 34: 2, seg 0 (0.194122) -> 6, seg 0 (0.318762) h("a_baskets_12[6].soma syn_SmallNet_bask_bask_GABA_syn_inh[34] = new GABA_syn_inh(0.318762)") h("a_baskets_12[2].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.19412202), syn_SmallNet_bask_bask_GABA_syn_inh[34], 0.0, 0.0, 1.0))") # Connection 35: 5, seg 0 (0.633284) -> 7, seg 0 (0.030376) h("a_baskets_12[7].soma syn_SmallNet_bask_bask_GABA_syn_inh[35] = new GABA_syn_inh(0.030376)") h("a_baskets_12[5].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.633284), syn_SmallNet_bask_bask_GABA_syn_inh[35], 0.0, 0.0, 1.0))") # Connection 36: 8, seg 0 (0.304526) -> 7, seg 0 (0.097242) h("a_baskets_12[7].soma syn_SmallNet_bask_bask_GABA_syn_inh[36] = new GABA_syn_inh(0.097242)") h("a_baskets_12[8].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.30452627), syn_SmallNet_bask_bask_GABA_syn_inh[36], 0.0, 0.0, 1.0))") # Connection 37: 3, seg 0 (0.288910) -> 7, seg 0 (0.770081) h("a_baskets_12[7].soma syn_SmallNet_bask_bask_GABA_syn_inh[37] = new GABA_syn_inh(0.770081)") h("a_baskets_12[3].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.2889096), syn_SmallNet_bask_bask_GABA_syn_inh[37], 0.0, 0.0, 1.0))") # Connection 38: 0, seg 0 (0.079766) -> 7, seg 0 (0.024889) h("a_baskets_12[7].soma syn_SmallNet_bask_bask_GABA_syn_inh[38] = new GABA_syn_inh(0.024889)") h("a_baskets_12[0].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.079765916), syn_SmallNet_bask_bask_GABA_syn_inh[38], 0.0, 0.0, 1.0))") # Connection 39: 1, seg 0 (0.447629) -> 7, seg 0 (0.305819) h("a_baskets_12[7].soma syn_SmallNet_bask_bask_GABA_syn_inh[39] = new GABA_syn_inh(0.305819)") h("a_baskets_12[1].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.44762868), syn_SmallNet_bask_bask_GABA_syn_inh[39], 0.0, 0.0, 1.0))") # Connection 40: 10, seg 0 (0.513855) -> 8, seg 0 (0.083439) h("a_baskets_12[8].soma syn_SmallNet_bask_bask_GABA_syn_inh[40] = new GABA_syn_inh(0.083439)") h("a_baskets_12[10].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.5138552), syn_SmallNet_bask_bask_GABA_syn_inh[40], 0.0, 0.0, 1.0))") # Connection 41: 0, seg 0 (0.626924) -> 8, seg 0 (0.792099) h("a_baskets_12[8].soma syn_SmallNet_bask_bask_GABA_syn_inh[41] = new GABA_syn_inh(0.792099)") h("a_baskets_12[0].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.62692386), syn_SmallNet_bask_bask_GABA_syn_inh[41], 0.0, 0.0, 1.0))") # Connection 42: 9, seg 0 (0.792676) -> 8, seg 0 (0.375541) h("a_baskets_12[8].soma syn_SmallNet_bask_bask_GABA_syn_inh[42] = new GABA_syn_inh(0.375541)") h("a_baskets_12[9].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.7926757), syn_SmallNet_bask_bask_GABA_syn_inh[42], 0.0, 0.0, 1.0))") # Connection 43: 3, seg 0 (0.632300) -> 8, seg 0 (0.645316) h("a_baskets_12[8].soma syn_SmallNet_bask_bask_GABA_syn_inh[43] = new GABA_syn_inh(0.645316)") h("a_baskets_12[3].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.6322999), syn_SmallNet_bask_bask_GABA_syn_inh[43], 0.0, 0.0, 1.0))") # Connection 44: 0, seg 0 (0.375548) -> 8, seg 0 (0.141820) h("a_baskets_12[8].soma syn_SmallNet_bask_bask_GABA_syn_inh[44] = new GABA_syn_inh(0.141820)") h("a_baskets_12[0].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.375548), syn_SmallNet_bask_bask_GABA_syn_inh[44], 0.0, 0.0, 1.0))") # Connection 45: 4, seg 0 (0.224258) -> 9, seg 0 (0.380814) h("a_baskets_12[9].soma syn_SmallNet_bask_bask_GABA_syn_inh[45] = new GABA_syn_inh(0.380814)") h("a_baskets_12[4].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.22425765), syn_SmallNet_bask_bask_GABA_syn_inh[45], 0.0, 0.0, 1.0))") # Connection 46: 0, seg 0 (0.035965) -> 9, seg 0 (0.570749) h("a_baskets_12[9].soma syn_SmallNet_bask_bask_GABA_syn_inh[46] = new GABA_syn_inh(0.570749)") h("a_baskets_12[0].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.035964966), syn_SmallNet_bask_bask_GABA_syn_inh[46], 0.0, 0.0, 1.0))") # Connection 47: 2, seg 0 (0.366381) -> 9, seg 0 (0.333854) h("a_baskets_12[9].soma syn_SmallNet_bask_bask_GABA_syn_inh[47] = new GABA_syn_inh(0.333854)") h("a_baskets_12[2].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.36638063), syn_SmallNet_bask_bask_GABA_syn_inh[47], 0.0, 0.0, 1.0))") # Connection 48: 2, seg 0 (0.115292) -> 9, seg 0 (0.307239) h("a_baskets_12[9].soma syn_SmallNet_bask_bask_GABA_syn_inh[48] = new GABA_syn_inh(0.307239)") h("a_baskets_12[2].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.11529195), syn_SmallNet_bask_bask_GABA_syn_inh[48], 0.0, 0.0, 1.0))") # Connection 49: 5, seg 0 (0.283497) -> 9, seg 0 (0.310595) h("a_baskets_12[9].soma syn_SmallNet_bask_bask_GABA_syn_inh[49] = new GABA_syn_inh(0.310595)") h("a_baskets_12[5].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.28349704), syn_SmallNet_bask_bask_GABA_syn_inh[49], 0.0, 0.0, 1.0))") # Connection 50: 9, seg 0 (0.238150) -> 10, seg 0 (0.270978) h("a_baskets_12[10].soma syn_SmallNet_bask_bask_GABA_syn_inh[50] = new GABA_syn_inh(0.270978)") h("a_baskets_12[9].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.23815024), syn_SmallNet_bask_bask_GABA_syn_inh[50], 0.0, 0.0, 1.0))") # Connection 51: 11, seg 0 (0.470458) -> 10, seg 0 (0.078177) h("a_baskets_12[10].soma syn_SmallNet_bask_bask_GABA_syn_inh[51] = new GABA_syn_inh(0.078177)") h("a_baskets_12[11].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.47045845), syn_SmallNet_bask_bask_GABA_syn_inh[51], 0.0, 0.0, 1.0))") # Connection 52: 1, seg 0 (0.430757) -> 10, seg 0 (0.422194) h("a_baskets_12[10].soma syn_SmallNet_bask_bask_GABA_syn_inh[52] = new GABA_syn_inh(0.422194)") h("a_baskets_12[1].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.43075705), syn_SmallNet_bask_bask_GABA_syn_inh[52], 0.0, 0.0, 1.0))") # Connection 53: 1, seg 0 (0.267107) -> 10, seg 0 (0.504498) h("a_baskets_12[10].soma syn_SmallNet_bask_bask_GABA_syn_inh[53] = new GABA_syn_inh(0.504498)") h("a_baskets_12[1].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.2671072), syn_SmallNet_bask_bask_GABA_syn_inh[53], 0.0, 0.0, 1.0))") # Connection 54: 2, seg 0 (0.409871) -> 10, seg 0 (0.199592) h("a_baskets_12[10].soma syn_SmallNet_bask_bask_GABA_syn_inh[54] = new GABA_syn_inh(0.199592)") h("a_baskets_12[2].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.4098711), syn_SmallNet_bask_bask_GABA_syn_inh[54], 0.0, 0.0, 1.0))") # Connection 55: 2, seg 0 (0.629367) -> 11, seg 0 (0.682510) h("a_baskets_12[11].soma syn_SmallNet_bask_bask_GABA_syn_inh[55] = new GABA_syn_inh(0.682510)") h("a_baskets_12[2].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.6293674), syn_SmallNet_bask_bask_GABA_syn_inh[55], 0.0, 0.0, 1.0))") # Connection 56: 4, seg 0 (0.448295) -> 11, seg 0 (0.713540) h("a_baskets_12[11].soma syn_SmallNet_bask_bask_GABA_syn_inh[56] = new GABA_syn_inh(0.713540)") h("a_baskets_12[4].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.4482953), syn_SmallNet_bask_bask_GABA_syn_inh[56], 0.0, 0.0, 1.0))") # Connection 57: 10, seg 0 (0.140714) -> 11, seg 0 (0.320555) h("a_baskets_12[11].soma syn_SmallNet_bask_bask_GABA_syn_inh[57] = new GABA_syn_inh(0.320555)") h("a_baskets_12[10].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.14071357), syn_SmallNet_bask_bask_GABA_syn_inh[57], 0.0, 0.0, 1.0))") # Connection 58: 8, seg 0 (0.148640) -> 11, seg 0 (0.033758) h("a_baskets_12[11].soma syn_SmallNet_bask_bask_GABA_syn_inh[58] = new GABA_syn_inh(0.033758)") h("a_baskets_12[8].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.14863956), syn_SmallNet_bask_bask_GABA_syn_inh[58], 0.0, 0.0, 1.0))") # Connection 59: 10, seg 0 (0.797065) -> 11, seg 0 (0.116422) h("a_baskets_12[11].soma syn_SmallNet_bask_bask_GABA_syn_inh[59] = new GABA_syn_inh(0.116422)") h("a_baskets_12[10].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.79706544), syn_SmallNet_bask_bask_GABA_syn_inh[59], 0.0, 0.0, 1.0))") # Adding projection: SmallNet_bask_pyr, from baskets_12 to pyramidals_48 with synapse GABA_syn, 336 connection(s) h("objectvar syn_SmallNet_bask_pyr_GABA_syn[336]") # Connection 0: 10, seg 0 (0.058240) -> 0, seg 6 (0.026282) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[0] = new GABA_syn(0.026282)") h("a_baskets_12[10].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.058240294), syn_SmallNet_bask_pyr_GABA_syn[0], 0.0, 0.0, 1.0))") # Connection 1: 9, seg 0 (0.099164) -> 0, seg 6 (0.959484) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[1] = new GABA_syn(0.959484)") h("a_baskets_12[9].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.09916419), syn_SmallNet_bask_pyr_GABA_syn[1], 0.0, 0.0, 1.0))") # Connection 2: 7, seg 0 (0.179355) -> 0, seg 6 (0.155007) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[2] = new GABA_syn(0.155007)") h("a_baskets_12[7].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.17935467), syn_SmallNet_bask_pyr_GABA_syn[2], 0.0, 0.0, 1.0))") # Connection 3: 4, seg 0 (0.711143) -> 0, seg 6 (0.221023) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[3] = new GABA_syn(0.221023)") h("a_baskets_12[4].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.711143), syn_SmallNet_bask_pyr_GABA_syn[3], 0.0, 0.0, 1.0))") # Connection 4: 9, seg 0 (0.543666) -> 0, seg 6 (0.943817) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[4] = new GABA_syn(0.943817)") h("a_baskets_12[9].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.5436661), syn_SmallNet_bask_pyr_GABA_syn[4], 0.0, 0.0, 1.0))") # Connection 5: 3, seg 0 (0.380063) -> 0, seg 6 (0.543829) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[5] = new GABA_syn(0.543829)") h("a_baskets_12[3].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.38006347), syn_SmallNet_bask_pyr_GABA_syn[5], 0.0, 0.0, 1.0))") # Connection 6: 2, seg 0 (0.207300) -> 0, seg 6 (0.883827) h("a_pyramidals_48[0].basal0 syn_SmallNet_bask_pyr_GABA_syn[6] = new GABA_syn(0.883827)") h("a_baskets_12[2].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.20729977), syn_SmallNet_bask_pyr_GABA_syn[6], 0.0, 0.0, 1.0))") # Connection 7: 11, seg 0 (0.104828) -> 1, seg 6 (0.289440) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[7] = new GABA_syn(0.289440)") h("a_baskets_12[11].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.10482848), syn_SmallNet_bask_pyr_GABA_syn[7], 0.0, 0.0, 1.0))") # Connection 8: 4, seg 0 (0.698590) -> 1, seg 6 (0.812063) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[8] = new GABA_syn(0.812063)") h("a_baskets_12[4].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.6985896), syn_SmallNet_bask_pyr_GABA_syn[8], 0.0, 0.0, 1.0))") # Connection 9: 0, seg 0 (0.607545) -> 1, seg 6 (0.920258) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[9] = new GABA_syn(0.920258)") h("a_baskets_12[0].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.607545), syn_SmallNet_bask_pyr_GABA_syn[9], 0.0, 0.0, 1.0))") # Connection 10: 9, seg 0 (0.078174) -> 1, seg 6 (0.516680) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[10] = new GABA_syn(0.516680)") h("a_baskets_12[9].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.07817376), syn_SmallNet_bask_pyr_GABA_syn[10], 0.0, 0.0, 1.0))") # Connection 11: 7, seg 0 (0.705522) -> 1, seg 6 (0.078418) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[11] = new GABA_syn(0.078418)") h("a_baskets_12[7].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.7055223), syn_SmallNet_bask_pyr_GABA_syn[11], 0.0, 0.0, 1.0))") # Connection 12: 9, seg 0 (0.668376) -> 1, seg 6 (0.634465) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[12] = new GABA_syn(0.634465)") h("a_baskets_12[9].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.6683763), syn_SmallNet_bask_pyr_GABA_syn[12], 0.0, 0.0, 1.0))") # Connection 13: 4, seg 0 (0.082915) -> 1, seg 6 (0.028853) h("a_pyramidals_48[1].basal0 syn_SmallNet_bask_pyr_GABA_syn[13] = new GABA_syn(0.028853)") h("a_baskets_12[4].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.082915485), syn_SmallNet_bask_pyr_GABA_syn[13], 0.0, 0.0, 1.0))") # Connection 14: 6, seg 0 (0.985960) -> 2, seg 6 (0.049411) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[14] = new GABA_syn(0.049411)") h("a_baskets_12[6].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.9859604), syn_SmallNet_bask_pyr_GABA_syn[14], 0.0, 0.0, 1.0))") # Connection 15: 7, seg 0 (0.197669) -> 2, seg 6 (0.097334) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[15] = new GABA_syn(0.097334)") h("a_baskets_12[7].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.19766873), syn_SmallNet_bask_pyr_GABA_syn[15], 0.0, 0.0, 1.0))") # Connection 16: 2, seg 0 (0.072637) -> 2, seg 6 (0.748637) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[16] = new GABA_syn(0.748637)") h("a_baskets_12[2].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.07263738), syn_SmallNet_bask_pyr_GABA_syn[16], 0.0, 0.0, 1.0))") # Connection 17: 8, seg 0 (0.958698) -> 2, seg 6 (0.037808) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[17] = new GABA_syn(0.037808)") h("a_baskets_12[8].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.9586979), syn_SmallNet_bask_pyr_GABA_syn[17], 0.0, 0.0, 1.0))") # Connection 18: 5, seg 0 (0.011565) -> 2, seg 6 (0.165123) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[18] = new GABA_syn(0.165123)") h("a_baskets_12[5].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.011565268), syn_SmallNet_bask_pyr_GABA_syn[18], 0.0, 0.0, 1.0))") # Connection 19: 2, seg 0 (0.260580) -> 2, seg 6 (0.706609) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[19] = new GABA_syn(0.706609)") h("a_baskets_12[2].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.2605797), syn_SmallNet_bask_pyr_GABA_syn[19], 0.0, 0.0, 1.0))") # Connection 20: 8, seg 0 (0.311837) -> 2, seg 6 (0.198597) h("a_pyramidals_48[2].basal0 syn_SmallNet_bask_pyr_GABA_syn[20] = new GABA_syn(0.198597)") h("a_baskets_12[8].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.31183654), syn_SmallNet_bask_pyr_GABA_syn[20], 0.0, 0.0, 1.0))") # Connection 21: 11, seg 0 (0.877830) -> 3, seg 6 (0.406193) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[21] = new GABA_syn(0.406193)") h("a_baskets_12[11].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.87782955), syn_SmallNet_bask_pyr_GABA_syn[21], 0.0, 0.0, 1.0))") # Connection 22: 7, seg 0 (0.294253) -> 3, seg 6 (0.564966) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[22] = new GABA_syn(0.564966)") h("a_baskets_12[7].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.29425263), syn_SmallNet_bask_pyr_GABA_syn[22], 0.0, 0.0, 1.0))") # Connection 23: 2, seg 0 (0.562029) -> 3, seg 6 (0.311786) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[23] = new GABA_syn(0.311786)") h("a_baskets_12[2].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.5620294), syn_SmallNet_bask_pyr_GABA_syn[23], 0.0, 0.0, 1.0))") # Connection 24: 2, seg 0 (0.061397) -> 3, seg 6 (0.579333) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[24] = new GABA_syn(0.579333)") h("a_baskets_12[2].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.061397374), syn_SmallNet_bask_pyr_GABA_syn[24], 0.0, 0.0, 1.0))") # Connection 25: 9, seg 0 (0.895003) -> 3, seg 6 (0.478321) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[25] = new GABA_syn(0.478321)") h("a_baskets_12[9].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.8950035), syn_SmallNet_bask_pyr_GABA_syn[25], 0.0, 0.0, 1.0))") # Connection 26: 8, seg 0 (0.287951) -> 3, seg 6 (0.931502) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[26] = new GABA_syn(0.931502)") h("a_baskets_12[8].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.28795117), syn_SmallNet_bask_pyr_GABA_syn[26], 0.0, 0.0, 1.0))") # Connection 27: 0, seg 0 (0.106948) -> 3, seg 6 (0.825754) h("a_pyramidals_48[3].basal0 syn_SmallNet_bask_pyr_GABA_syn[27] = new GABA_syn(0.825754)") h("a_baskets_12[0].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.106948495), syn_SmallNet_bask_pyr_GABA_syn[27], 0.0, 0.0, 1.0))") # Connection 28: 8, seg 0 (0.452645) -> 4, seg 6 (0.192883) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[28] = new GABA_syn(0.192883)") h("a_baskets_12[8].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.4526453), syn_SmallNet_bask_pyr_GABA_syn[28], 0.0, 0.0, 1.0))") # Connection 29: 6, seg 0 (0.914046) -> 4, seg 6 (0.837636) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[29] = new GABA_syn(0.837636)") h("a_baskets_12[6].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.91404647), syn_SmallNet_bask_pyr_GABA_syn[29], 0.0, 0.0, 1.0))") # Connection 30: 0, seg 0 (0.805813) -> 4, seg 6 (0.347368) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[30] = new GABA_syn(0.347368)") h("a_baskets_12[0].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.8058127), syn_SmallNet_bask_pyr_GABA_syn[30], 0.0, 0.0, 1.0))") # Connection 31: 10, seg 0 (0.774189) -> 4, seg 6 (0.420474) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[31] = new GABA_syn(0.420474)") h("a_baskets_12[10].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.774189), syn_SmallNet_bask_pyr_GABA_syn[31], 0.0, 0.0, 1.0))") # Connection 32: 0, seg 0 (0.625777) -> 4, seg 6 (0.879418) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[32] = new GABA_syn(0.879418)") h("a_baskets_12[0].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.6257765), syn_SmallNet_bask_pyr_GABA_syn[32], 0.0, 0.0, 1.0))") # Connection 33: 7, seg 0 (0.519043) -> 4, seg 6 (0.953908) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[33] = new GABA_syn(0.953908)") h("a_baskets_12[7].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.519043), syn_SmallNet_bask_pyr_GABA_syn[33], 0.0, 0.0, 1.0))") # Connection 34: 2, seg 0 (0.794481) -> 4, seg 6 (0.766661) h("a_pyramidals_48[4].basal0 syn_SmallNet_bask_pyr_GABA_syn[34] = new GABA_syn(0.766661)") h("a_baskets_12[2].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.79448146), syn_SmallNet_bask_pyr_GABA_syn[34], 0.0, 0.0, 1.0))") # Connection 35: 7, seg 0 (0.937915) -> 5, seg 6 (0.049911) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[35] = new GABA_syn(0.049911)") h("a_baskets_12[7].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.93791527), syn_SmallNet_bask_pyr_GABA_syn[35], 0.0, 0.0, 1.0))") # Connection 36: 0, seg 0 (0.900105) -> 5, seg 6 (0.346742) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[36] = new GABA_syn(0.346742)") h("a_baskets_12[0].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.9001053), syn_SmallNet_bask_pyr_GABA_syn[36], 0.0, 0.0, 1.0))") # Connection 37: 4, seg 0 (0.639618) -> 5, seg 6 (0.223846) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[37] = new GABA_syn(0.223846)") h("a_baskets_12[4].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.6396184), syn_SmallNet_bask_pyr_GABA_syn[37], 0.0, 0.0, 1.0))") # Connection 38: 1, seg 0 (0.273156) -> 5, seg 6 (0.737779) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[38] = new GABA_syn(0.737779)") h("a_baskets_12[1].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.27315557), syn_SmallNet_bask_pyr_GABA_syn[38], 0.0, 0.0, 1.0))") # Connection 39: 5, seg 0 (0.076576) -> 5, seg 6 (0.738230) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[39] = new GABA_syn(0.738230)") h("a_baskets_12[5].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.07657552), syn_SmallNet_bask_pyr_GABA_syn[39], 0.0, 0.0, 1.0))") # Connection 40: 6, seg 0 (0.453028) -> 5, seg 6 (0.870223) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[40] = new GABA_syn(0.870223)") h("a_baskets_12[6].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.45302814), syn_SmallNet_bask_pyr_GABA_syn[40], 0.0, 0.0, 1.0))") # Connection 41: 11, seg 0 (0.828824) -> 5, seg 6 (0.582970) h("a_pyramidals_48[5].basal0 syn_SmallNet_bask_pyr_GABA_syn[41] = new GABA_syn(0.582970)") h("a_baskets_12[11].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.82882404), syn_SmallNet_bask_pyr_GABA_syn[41], 0.0, 0.0, 1.0))") # Connection 42: 6, seg 0 (0.638304) -> 6, seg 6 (0.431118) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[42] = new GABA_syn(0.431118)") h("a_baskets_12[6].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.63830423), syn_SmallNet_bask_pyr_GABA_syn[42], 0.0, 0.0, 1.0))") # Connection 43: 10, seg 0 (0.226497) -> 6, seg 6 (0.434760) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[43] = new GABA_syn(0.434760)") h("a_baskets_12[10].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.22649741), syn_SmallNet_bask_pyr_GABA_syn[43], 0.0, 0.0, 1.0))") # Connection 44: 9, seg 0 (0.015232) -> 6, seg 6 (0.885395) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[44] = new GABA_syn(0.885395)") h("a_baskets_12[9].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.015231669), syn_SmallNet_bask_pyr_GABA_syn[44], 0.0, 0.0, 1.0))") # Connection 45: 2, seg 0 (0.011251) -> 6, seg 6 (0.753587) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[45] = new GABA_syn(0.753587)") h("a_baskets_12[2].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.01125139), syn_SmallNet_bask_pyr_GABA_syn[45], 0.0, 0.0, 1.0))") # Connection 46: 10, seg 0 (0.386319) -> 6, seg 6 (0.044178) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[46] = new GABA_syn(0.044178)") h("a_baskets_12[10].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.38631856), syn_SmallNet_bask_pyr_GABA_syn[46], 0.0, 0.0, 1.0))") # Connection 47: 9, seg 0 (0.278193) -> 6, seg 6 (0.254789) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[47] = new GABA_syn(0.254789)") h("a_baskets_12[9].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.2781933), syn_SmallNet_bask_pyr_GABA_syn[47], 0.0, 0.0, 1.0))") # Connection 48: 6, seg 0 (0.981342) -> 6, seg 6 (0.869155) h("a_pyramidals_48[6].basal0 syn_SmallNet_bask_pyr_GABA_syn[48] = new GABA_syn(0.869155)") h("a_baskets_12[6].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.98134166), syn_SmallNet_bask_pyr_GABA_syn[48], 0.0, 0.0, 1.0))") # Connection 49: 3, seg 0 (0.704527) -> 7, seg 6 (0.484690) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[49] = new GABA_syn(0.484690)") h("a_baskets_12[3].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.7045268), syn_SmallNet_bask_pyr_GABA_syn[49], 0.0, 0.0, 1.0))") # Connection 50: 5, seg 0 (0.103770) -> 7, seg 6 (0.485770) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[50] = new GABA_syn(0.485770)") h("a_baskets_12[5].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.103770256), syn_SmallNet_bask_pyr_GABA_syn[50], 0.0, 0.0, 1.0))") # Connection 51: 0, seg 0 (0.165083) -> 7, seg 6 (0.989909) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[51] = new GABA_syn(0.989909)") h("a_baskets_12[0].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.16508323), syn_SmallNet_bask_pyr_GABA_syn[51], 0.0, 0.0, 1.0))") # Connection 52: 0, seg 0 (0.479986) -> 7, seg 6 (0.484275) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[52] = new GABA_syn(0.484275)") h("a_baskets_12[0].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.4799863), syn_SmallNet_bask_pyr_GABA_syn[52], 0.0, 0.0, 1.0))") # Connection 53: 1, seg 0 (0.863782) -> 7, seg 6 (0.976192) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[53] = new GABA_syn(0.976192)") h("a_baskets_12[1].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.8637824), syn_SmallNet_bask_pyr_GABA_syn[53], 0.0, 0.0, 1.0))") # Connection 54: 6, seg 0 (0.475561) -> 7, seg 6 (0.510077) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[54] = new GABA_syn(0.510077)") h("a_baskets_12[6].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.47556138), syn_SmallNet_bask_pyr_GABA_syn[54], 0.0, 0.0, 1.0))") # Connection 55: 10, seg 0 (0.414561) -> 7, seg 6 (0.892123) h("a_pyramidals_48[7].basal0 syn_SmallNet_bask_pyr_GABA_syn[55] = new GABA_syn(0.892123)") h("a_baskets_12[10].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.4145611), syn_SmallNet_bask_pyr_GABA_syn[55], 0.0, 0.0, 1.0))") # Connection 56: 8, seg 0 (0.244555) -> 8, seg 6 (0.836512) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[56] = new GABA_syn(0.836512)") h("a_baskets_12[8].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.2445553), syn_SmallNet_bask_pyr_GABA_syn[56], 0.0, 0.0, 1.0))") # Connection 57: 11, seg 0 (0.440001) -> 8, seg 6 (0.000572) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[57] = new GABA_syn(0.000572)") h("a_baskets_12[11].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.44000125), syn_SmallNet_bask_pyr_GABA_syn[57], 0.0, 0.0, 1.0))") # Connection 58: 11, seg 0 (0.769169) -> 8, seg 6 (0.044454) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[58] = new GABA_syn(0.044454)") h("a_baskets_12[11].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.76916885), syn_SmallNet_bask_pyr_GABA_syn[58], 0.0, 0.0, 1.0))") # Connection 59: 7, seg 0 (0.762518) -> 8, seg 6 (0.342898) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[59] = new GABA_syn(0.342898)") h("a_baskets_12[7].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.76251787), syn_SmallNet_bask_pyr_GABA_syn[59], 0.0, 0.0, 1.0))") # Connection 60: 8, seg 0 (0.647057) -> 8, seg 6 (0.814242) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[60] = new GABA_syn(0.814242)") h("a_baskets_12[8].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.64705706), syn_SmallNet_bask_pyr_GABA_syn[60], 0.0, 0.0, 1.0))") # Connection 61: 10, seg 0 (0.382620) -> 8, seg 6 (0.025041) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[61] = new GABA_syn(0.025041)") h("a_baskets_12[10].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.38261962), syn_SmallNet_bask_pyr_GABA_syn[61], 0.0, 0.0, 1.0))") # Connection 62: 4, seg 0 (0.269395) -> 8, seg 6 (0.680824) h("a_pyramidals_48[8].basal0 syn_SmallNet_bask_pyr_GABA_syn[62] = new GABA_syn(0.680824)") h("a_baskets_12[4].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.26939458), syn_SmallNet_bask_pyr_GABA_syn[62], 0.0, 0.0, 1.0))") # Connection 63: 5, seg 0 (0.251359) -> 9, seg 6 (0.214427) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[63] = new GABA_syn(0.214427)") h("a_baskets_12[5].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.25135857), syn_SmallNet_bask_pyr_GABA_syn[63], 0.0, 0.0, 1.0))") # Connection 64: 7, seg 0 (0.495579) -> 9, seg 6 (0.406760) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[64] = new GABA_syn(0.406760)") h("a_baskets_12[7].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.495579), syn_SmallNet_bask_pyr_GABA_syn[64], 0.0, 0.0, 1.0))") # Connection 65: 3, seg 0 (0.417129) -> 9, seg 6 (0.179108) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[65] = new GABA_syn(0.179108)") h("a_baskets_12[3].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.41712946), syn_SmallNet_bask_pyr_GABA_syn[65], 0.0, 0.0, 1.0))") # Connection 66: 3, seg 0 (0.010382) -> 9, seg 6 (0.262227) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[66] = new GABA_syn(0.262227)") h("a_baskets_12[3].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.010382116), syn_SmallNet_bask_pyr_GABA_syn[66], 0.0, 0.0, 1.0))") # Connection 67: 7, seg 0 (0.599335) -> 9, seg 6 (0.539860) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[67] = new GABA_syn(0.539860)") h("a_baskets_12[7].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.5993351), syn_SmallNet_bask_pyr_GABA_syn[67], 0.0, 0.0, 1.0))") # Connection 68: 7, seg 0 (0.315976) -> 9, seg 6 (0.048173) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[68] = new GABA_syn(0.048173)") h("a_baskets_12[7].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.31597584), syn_SmallNet_bask_pyr_GABA_syn[68], 0.0, 0.0, 1.0))") # Connection 69: 6, seg 0 (0.361733) -> 9, seg 6 (0.034874) h("a_pyramidals_48[9].basal0 syn_SmallNet_bask_pyr_GABA_syn[69] = new GABA_syn(0.034874)") h("a_baskets_12[6].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.36173314), syn_SmallNet_bask_pyr_GABA_syn[69], 0.0, 0.0, 1.0))") # Connection 70: 6, seg 0 (0.724876) -> 10, seg 6 (0.260970) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[70] = new GABA_syn(0.260970)") h("a_baskets_12[6].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.72487587), syn_SmallNet_bask_pyr_GABA_syn[70], 0.0, 0.0, 1.0))") # Connection 71: 8, seg 0 (0.541176) -> 10, seg 6 (0.728528) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[71] = new GABA_syn(0.728528)") h("a_baskets_12[8].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.5411758), syn_SmallNet_bask_pyr_GABA_syn[71], 0.0, 0.0, 1.0))") # Connection 72: 11, seg 0 (0.927467) -> 10, seg 6 (0.937447) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[72] = new GABA_syn(0.937447)") h("a_baskets_12[11].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.9274669), syn_SmallNet_bask_pyr_GABA_syn[72], 0.0, 0.0, 1.0))") # Connection 73: 3, seg 0 (0.744800) -> 10, seg 6 (0.496552) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[73] = new GABA_syn(0.496552)") h("a_baskets_12[3].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.7448001), syn_SmallNet_bask_pyr_GABA_syn[73], 0.0, 0.0, 1.0))") # Connection 74: 10, seg 0 (0.596383) -> 10, seg 6 (0.514630) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[74] = new GABA_syn(0.514630)") h("a_baskets_12[10].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.59638256), syn_SmallNet_bask_pyr_GABA_syn[74], 0.0, 0.0, 1.0))") # Connection 75: 1, seg 0 (0.176409) -> 10, seg 6 (0.609381) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[75] = new GABA_syn(0.609381)") h("a_baskets_12[1].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.17640907), syn_SmallNet_bask_pyr_GABA_syn[75], 0.0, 0.0, 1.0))") # Connection 76: 1, seg 0 (0.438597) -> 10, seg 6 (0.829391) h("a_pyramidals_48[10].basal0 syn_SmallNet_bask_pyr_GABA_syn[76] = new GABA_syn(0.829391)") h("a_baskets_12[1].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.43859696), syn_SmallNet_bask_pyr_GABA_syn[76], 0.0, 0.0, 1.0))") # Connection 77: 7, seg 0 (0.887790) -> 11, seg 6 (0.304551) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[77] = new GABA_syn(0.304551)") h("a_baskets_12[7].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.8877901), syn_SmallNet_bask_pyr_GABA_syn[77], 0.0, 0.0, 1.0))") # Connection 78: 5, seg 0 (0.346523) -> 11, seg 6 (0.646991) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[78] = new GABA_syn(0.646991)") h("a_baskets_12[5].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.34652328), syn_SmallNet_bask_pyr_GABA_syn[78], 0.0, 0.0, 1.0))") # Connection 79: 11, seg 0 (0.236703) -> 11, seg 6 (0.350992) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[79] = new GABA_syn(0.350992)") h("a_baskets_12[11].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.23670274), syn_SmallNet_bask_pyr_GABA_syn[79], 0.0, 0.0, 1.0))") # Connection 80: 3, seg 0 (0.015180) -> 11, seg 6 (0.473185) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[80] = new GABA_syn(0.473185)") h("a_baskets_12[3].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.015180349), syn_SmallNet_bask_pyr_GABA_syn[80], 0.0, 0.0, 1.0))") # Connection 81: 0, seg 0 (0.626624) -> 11, seg 6 (0.717471) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[81] = new GABA_syn(0.717471)") h("a_baskets_12[0].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.62662435), syn_SmallNet_bask_pyr_GABA_syn[81], 0.0, 0.0, 1.0))") # Connection 82: 3, seg 0 (0.652789) -> 11, seg 6 (0.673451) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[82] = new GABA_syn(0.673451)") h("a_baskets_12[3].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.65278906), syn_SmallNet_bask_pyr_GABA_syn[82], 0.0, 0.0, 1.0))") # Connection 83: 0, seg 0 (0.195617) -> 11, seg 6 (0.001483) h("a_pyramidals_48[11].basal0 syn_SmallNet_bask_pyr_GABA_syn[83] = new GABA_syn(0.001483)") h("a_baskets_12[0].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.19561714), syn_SmallNet_bask_pyr_GABA_syn[83], 0.0, 0.0, 1.0))") # Connection 84: 9, seg 0 (0.257934) -> 12, seg 6 (0.051011) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[84] = new GABA_syn(0.051011)") h("a_baskets_12[9].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.25793403), syn_SmallNet_bask_pyr_GABA_syn[84], 0.0, 0.0, 1.0))") # Connection 85: 5, seg 0 (0.267787) -> 12, seg 6 (0.359384) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[85] = new GABA_syn(0.359384)") h("a_baskets_12[5].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.2677868), syn_SmallNet_bask_pyr_GABA_syn[85], 0.0, 0.0, 1.0))") # Connection 86: 9, seg 0 (0.403362) -> 12, seg 6 (0.379242) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[86] = new GABA_syn(0.379242)") h("a_baskets_12[9].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.40336198), syn_SmallNet_bask_pyr_GABA_syn[86], 0.0, 0.0, 1.0))") # Connection 87: 11, seg 0 (0.626395) -> 12, seg 6 (0.400424) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[87] = new GABA_syn(0.400424)") h("a_baskets_12[11].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.6263949), syn_SmallNet_bask_pyr_GABA_syn[87], 0.0, 0.0, 1.0))") # Connection 88: 3, seg 0 (0.048933) -> 12, seg 6 (0.105130) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[88] = new GABA_syn(0.105130)") h("a_baskets_12[3].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.048933268), syn_SmallNet_bask_pyr_GABA_syn[88], 0.0, 0.0, 1.0))") # Connection 89: 4, seg 0 (0.882656) -> 12, seg 6 (0.323138) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[89] = new GABA_syn(0.323138)") h("a_baskets_12[4].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.8826562), syn_SmallNet_bask_pyr_GABA_syn[89], 0.0, 0.0, 1.0))") # Connection 90: 7, seg 0 (0.934734) -> 12, seg 6 (0.803401) h("a_pyramidals_48[12].basal0 syn_SmallNet_bask_pyr_GABA_syn[90] = new GABA_syn(0.803401)") h("a_baskets_12[7].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.93473446), syn_SmallNet_bask_pyr_GABA_syn[90], 0.0, 0.0, 1.0))") # Connection 91: 8, seg 0 (0.483177) -> 13, seg 6 (0.342724) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[91] = new GABA_syn(0.342724)") h("a_baskets_12[8].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.4831773), syn_SmallNet_bask_pyr_GABA_syn[91], 0.0, 0.0, 1.0))") # Connection 92: 10, seg 0 (0.729079) -> 13, seg 6 (0.362696) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[92] = new GABA_syn(0.362696)") h("a_baskets_12[10].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.7290791), syn_SmallNet_bask_pyr_GABA_syn[92], 0.0, 0.0, 1.0))") # Connection 93: 10, seg 0 (0.413038) -> 13, seg 6 (0.763491) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[93] = new GABA_syn(0.763491)") h("a_baskets_12[10].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.41303766), syn_SmallNet_bask_pyr_GABA_syn[93], 0.0, 0.0, 1.0))") # Connection 94: 4, seg 0 (0.040534) -> 13, seg 6 (0.785311) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[94] = new GABA_syn(0.785311)") h("a_baskets_12[4].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.04053414), syn_SmallNet_bask_pyr_GABA_syn[94], 0.0, 0.0, 1.0))") # Connection 95: 2, seg 0 (0.590092) -> 13, seg 6 (0.599408) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[95] = new GABA_syn(0.599408)") h("a_baskets_12[2].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.5900917), syn_SmallNet_bask_pyr_GABA_syn[95], 0.0, 0.0, 1.0))") # Connection 96: 6, seg 0 (0.321614) -> 13, seg 6 (0.008175) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[96] = new GABA_syn(0.008175)") h("a_baskets_12[6].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.32161438), syn_SmallNet_bask_pyr_GABA_syn[96], 0.0, 0.0, 1.0))") # Connection 97: 6, seg 0 (0.430262) -> 13, seg 6 (0.053999) h("a_pyramidals_48[13].basal0 syn_SmallNet_bask_pyr_GABA_syn[97] = new GABA_syn(0.053999)") h("a_baskets_12[6].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.4302619), syn_SmallNet_bask_pyr_GABA_syn[97], 0.0, 0.0, 1.0))") # Connection 98: 4, seg 0 (0.109088) -> 14, seg 6 (0.991833) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[98] = new GABA_syn(0.991833)") h("a_baskets_12[4].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.10908818), syn_SmallNet_bask_pyr_GABA_syn[98], 0.0, 0.0, 1.0))") # Connection 99: 7, seg 0 (0.607143) -> 14, seg 6 (0.121294) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[99] = new GABA_syn(0.121294)") h("a_baskets_12[7].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.6071434), syn_SmallNet_bask_pyr_GABA_syn[99], 0.0, 0.0, 1.0))") # Connection 100: 2, seg 0 (0.759406) -> 14, seg 6 (0.607410) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[100] = new GABA_syn(0.607410)") h("a_baskets_12[2].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.75940555), syn_SmallNet_bask_pyr_GABA_syn[100], 0.0, 0.0, 1.0))") # Connection 101: 4, seg 0 (0.506639) -> 14, seg 6 (0.322637) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[101] = new GABA_syn(0.322637)") h("a_baskets_12[4].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.50663924), syn_SmallNet_bask_pyr_GABA_syn[101], 0.0, 0.0, 1.0))") # Connection 102: 10, seg 0 (0.462564) -> 14, seg 6 (0.084055) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[102] = new GABA_syn(0.084055)") h("a_baskets_12[10].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.46256435), syn_SmallNet_bask_pyr_GABA_syn[102], 0.0, 0.0, 1.0))") # Connection 103: 9, seg 0 (0.872264) -> 14, seg 6 (0.040304) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[103] = new GABA_syn(0.040304)") h("a_baskets_12[9].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.87226444), syn_SmallNet_bask_pyr_GABA_syn[103], 0.0, 0.0, 1.0))") # Connection 104: 4, seg 0 (0.168131) -> 14, seg 6 (0.458537) h("a_pyramidals_48[14].basal0 syn_SmallNet_bask_pyr_GABA_syn[104] = new GABA_syn(0.458537)") h("a_baskets_12[4].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.16813141), syn_SmallNet_bask_pyr_GABA_syn[104], 0.0, 0.0, 1.0))") # Connection 105: 9, seg 0 (0.627917) -> 15, seg 6 (0.824363) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[105] = new GABA_syn(0.824363)") h("a_baskets_12[9].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.62791675), syn_SmallNet_bask_pyr_GABA_syn[105], 0.0, 0.0, 1.0))") # Connection 106: 4, seg 0 (0.598615) -> 15, seg 6 (0.880085) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[106] = new GABA_syn(0.880085)") h("a_baskets_12[4].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.59861475), syn_SmallNet_bask_pyr_GABA_syn[106], 0.0, 0.0, 1.0))") # Connection 107: 3, seg 0 (0.550111) -> 15, seg 6 (0.932550) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[107] = new GABA_syn(0.932550)") h("a_baskets_12[3].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.5501108), syn_SmallNet_bask_pyr_GABA_syn[107], 0.0, 0.0, 1.0))") # Connection 108: 7, seg 0 (0.837482) -> 15, seg 6 (0.395665) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[108] = new GABA_syn(0.395665)") h("a_baskets_12[7].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.8374816), syn_SmallNet_bask_pyr_GABA_syn[108], 0.0, 0.0, 1.0))") # Connection 109: 10, seg 0 (0.614535) -> 15, seg 6 (0.201825) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[109] = new GABA_syn(0.201825)") h("a_baskets_12[10].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.614535), syn_SmallNet_bask_pyr_GABA_syn[109], 0.0, 0.0, 1.0))") # Connection 110: 1, seg 0 (0.139789) -> 15, seg 6 (0.185367) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[110] = new GABA_syn(0.185367)") h("a_baskets_12[1].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.13978934), syn_SmallNet_bask_pyr_GABA_syn[110], 0.0, 0.0, 1.0))") # Connection 111: 3, seg 0 (0.439513) -> 15, seg 6 (0.882551) h("a_pyramidals_48[15].basal0 syn_SmallNet_bask_pyr_GABA_syn[111] = new GABA_syn(0.882551)") h("a_baskets_12[3].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.43951267), syn_SmallNet_bask_pyr_GABA_syn[111], 0.0, 0.0, 1.0))") # Connection 112: 4, seg 0 (0.633624) -> 16, seg 6 (0.373716) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[112] = new GABA_syn(0.373716)") h("a_baskets_12[4].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.6336242), syn_SmallNet_bask_pyr_GABA_syn[112], 0.0, 0.0, 1.0))") # Connection 113: 1, seg 0 (0.203090) -> 16, seg 6 (0.573130) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[113] = new GABA_syn(0.573130)") h("a_baskets_12[1].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.20309049), syn_SmallNet_bask_pyr_GABA_syn[113], 0.0, 0.0, 1.0))") # Connection 114: 6, seg 0 (0.486940) -> 16, seg 6 (0.790210) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[114] = new GABA_syn(0.790210)") h("a_baskets_12[6].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.4869399), syn_SmallNet_bask_pyr_GABA_syn[114], 0.0, 0.0, 1.0))") # Connection 115: 3, seg 0 (0.076508) -> 16, seg 6 (0.775817) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[115] = new GABA_syn(0.775817)") h("a_baskets_12[3].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.07650781), syn_SmallNet_bask_pyr_GABA_syn[115], 0.0, 0.0, 1.0))") # Connection 116: 5, seg 0 (0.996099) -> 16, seg 6 (0.748391) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[116] = new GABA_syn(0.748391)") h("a_baskets_12[5].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.9960995), syn_SmallNet_bask_pyr_GABA_syn[116], 0.0, 0.0, 1.0))") # Connection 117: 0, seg 0 (0.952064) -> 16, seg 6 (0.459441) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[117] = new GABA_syn(0.459441)") h("a_baskets_12[0].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.952064), syn_SmallNet_bask_pyr_GABA_syn[117], 0.0, 0.0, 1.0))") # Connection 118: 9, seg 0 (0.357623) -> 16, seg 6 (0.355343) h("a_pyramidals_48[16].basal0 syn_SmallNet_bask_pyr_GABA_syn[118] = new GABA_syn(0.355343)") h("a_baskets_12[9].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.35762298), syn_SmallNet_bask_pyr_GABA_syn[118], 0.0, 0.0, 1.0))") # Connection 119: 4, seg 0 (0.626624) -> 17, seg 6 (0.706384) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[119] = new GABA_syn(0.706384)") h("a_baskets_12[4].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.6266238), syn_SmallNet_bask_pyr_GABA_syn[119], 0.0, 0.0, 1.0))") # Connection 120: 1, seg 0 (0.970346) -> 17, seg 6 (0.374789) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[120] = new GABA_syn(0.374789)") h("a_baskets_12[1].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.9703456), syn_SmallNet_bask_pyr_GABA_syn[120], 0.0, 0.0, 1.0))") # Connection 121: 2, seg 0 (0.021515) -> 17, seg 6 (0.513781) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[121] = new GABA_syn(0.513781)") h("a_baskets_12[2].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.021514714), syn_SmallNet_bask_pyr_GABA_syn[121], 0.0, 0.0, 1.0))") # Connection 122: 10, seg 0 (0.023234) -> 17, seg 6 (0.134808) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[122] = new GABA_syn(0.134808)") h("a_baskets_12[10].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.023233652), syn_SmallNet_bask_pyr_GABA_syn[122], 0.0, 0.0, 1.0))") # Connection 123: 10, seg 0 (0.680915) -> 17, seg 6 (0.597374) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[123] = new GABA_syn(0.597374)") h("a_baskets_12[10].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.68091536), syn_SmallNet_bask_pyr_GABA_syn[123], 0.0, 0.0, 1.0))") # Connection 124: 0, seg 0 (0.774549) -> 17, seg 6 (0.181919) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[124] = new GABA_syn(0.181919)") h("a_baskets_12[0].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.77454925), syn_SmallNet_bask_pyr_GABA_syn[124], 0.0, 0.0, 1.0))") # Connection 125: 0, seg 0 (0.788385) -> 17, seg 6 (0.571031) h("a_pyramidals_48[17].basal0 syn_SmallNet_bask_pyr_GABA_syn[125] = new GABA_syn(0.571031)") h("a_baskets_12[0].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.7883853), syn_SmallNet_bask_pyr_GABA_syn[125], 0.0, 0.0, 1.0))") # Connection 126: 3, seg 0 (0.390243) -> 18, seg 6 (0.819805) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[126] = new GABA_syn(0.819805)") h("a_baskets_12[3].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.39024252), syn_SmallNet_bask_pyr_GABA_syn[126], 0.0, 0.0, 1.0))") # Connection 127: 11, seg 0 (0.881958) -> 18, seg 6 (0.948839) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[127] = new GABA_syn(0.948839)") h("a_baskets_12[11].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.8819576), syn_SmallNet_bask_pyr_GABA_syn[127], 0.0, 0.0, 1.0))") # Connection 128: 2, seg 0 (0.429610) -> 18, seg 6 (0.047767) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[128] = new GABA_syn(0.047767)") h("a_baskets_12[2].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.42961025), syn_SmallNet_bask_pyr_GABA_syn[128], 0.0, 0.0, 1.0))") # Connection 129: 9, seg 0 (0.210009) -> 18, seg 6 (0.740018) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[129] = new GABA_syn(0.740018)") h("a_baskets_12[9].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.2100085), syn_SmallNet_bask_pyr_GABA_syn[129], 0.0, 0.0, 1.0))") # Connection 130: 4, seg 0 (0.399309) -> 18, seg 6 (0.060361) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[130] = new GABA_syn(0.060361)") h("a_baskets_12[4].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.39930946), syn_SmallNet_bask_pyr_GABA_syn[130], 0.0, 0.0, 1.0))") # Connection 131: 8, seg 0 (0.219680) -> 18, seg 6 (0.822373) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[131] = new GABA_syn(0.822373)") h("a_baskets_12[8].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.21968007), syn_SmallNet_bask_pyr_GABA_syn[131], 0.0, 0.0, 1.0))") # Connection 132: 1, seg 0 (0.908747) -> 18, seg 6 (0.769725) h("a_pyramidals_48[18].basal0 syn_SmallNet_bask_pyr_GABA_syn[132] = new GABA_syn(0.769725)") h("a_baskets_12[1].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.90874654), syn_SmallNet_bask_pyr_GABA_syn[132], 0.0, 0.0, 1.0))") # Connection 133: 2, seg 0 (0.460427) -> 19, seg 6 (0.680859) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[133] = new GABA_syn(0.680859)") h("a_baskets_12[2].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.46042717), syn_SmallNet_bask_pyr_GABA_syn[133], 0.0, 0.0, 1.0))") # Connection 134: 1, seg 0 (0.135945) -> 19, seg 6 (0.251221) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[134] = new GABA_syn(0.251221)") h("a_baskets_12[1].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.1359452), syn_SmallNet_bask_pyr_GABA_syn[134], 0.0, 0.0, 1.0))") # Connection 135: 9, seg 0 (0.498110) -> 19, seg 6 (0.692635) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[135] = new GABA_syn(0.692635)") h("a_baskets_12[9].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.49811018), syn_SmallNet_bask_pyr_GABA_syn[135], 0.0, 0.0, 1.0))") # Connection 136: 1, seg 0 (0.925562) -> 19, seg 6 (0.976249) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[136] = new GABA_syn(0.976249)") h("a_baskets_12[1].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.92556244), syn_SmallNet_bask_pyr_GABA_syn[136], 0.0, 0.0, 1.0))") # Connection 137: 5, seg 0 (0.118672) -> 19, seg 6 (0.230367) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[137] = new GABA_syn(0.230367)") h("a_baskets_12[5].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.11867213), syn_SmallNet_bask_pyr_GABA_syn[137], 0.0, 0.0, 1.0))") # Connection 138: 5, seg 0 (0.699378) -> 19, seg 6 (0.005939) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[138] = new GABA_syn(0.005939)") h("a_baskets_12[5].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.69937766), syn_SmallNet_bask_pyr_GABA_syn[138], 0.0, 0.0, 1.0))") # Connection 139: 5, seg 0 (0.512656) -> 19, seg 6 (0.010087) h("a_pyramidals_48[19].basal0 syn_SmallNet_bask_pyr_GABA_syn[139] = new GABA_syn(0.010087)") h("a_baskets_12[5].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.51265585), syn_SmallNet_bask_pyr_GABA_syn[139], 0.0, 0.0, 1.0))") # Connection 140: 5, seg 0 (0.885046) -> 20, seg 6 (0.595453) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[140] = new GABA_syn(0.595453)") h("a_baskets_12[5].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.8850461), syn_SmallNet_bask_pyr_GABA_syn[140], 0.0, 0.0, 1.0))") # Connection 141: 6, seg 0 (0.676018) -> 20, seg 6 (0.578137) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[141] = new GABA_syn(0.578137)") h("a_baskets_12[6].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.67601794), syn_SmallNet_bask_pyr_GABA_syn[141], 0.0, 0.0, 1.0))") # Connection 142: 3, seg 0 (0.200840) -> 20, seg 6 (0.924882) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[142] = new GABA_syn(0.924882)") h("a_baskets_12[3].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.20084047), syn_SmallNet_bask_pyr_GABA_syn[142], 0.0, 0.0, 1.0))") # Connection 143: 0, seg 0 (0.757760) -> 20, seg 6 (0.267021) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[143] = new GABA_syn(0.267021)") h("a_baskets_12[0].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.75775963), syn_SmallNet_bask_pyr_GABA_syn[143], 0.0, 0.0, 1.0))") # Connection 144: 3, seg 0 (0.101617) -> 20, seg 6 (0.231870) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[144] = new GABA_syn(0.231870)") h("a_baskets_12[3].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.101617396), syn_SmallNet_bask_pyr_GABA_syn[144], 0.0, 0.0, 1.0))") # Connection 145: 11, seg 0 (0.300641) -> 20, seg 6 (0.975701) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[145] = new GABA_syn(0.975701)") h("a_baskets_12[11].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.30064094), syn_SmallNet_bask_pyr_GABA_syn[145], 0.0, 0.0, 1.0))") # Connection 146: 3, seg 0 (0.243980) -> 20, seg 6 (0.059321) h("a_pyramidals_48[20].basal0 syn_SmallNet_bask_pyr_GABA_syn[146] = new GABA_syn(0.059321)") h("a_baskets_12[3].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.24397999), syn_SmallNet_bask_pyr_GABA_syn[146], 0.0, 0.0, 1.0))") # Connection 147: 1, seg 0 (0.355228) -> 21, seg 6 (0.002184) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[147] = new GABA_syn(0.002184)") h("a_baskets_12[1].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.35522795), syn_SmallNet_bask_pyr_GABA_syn[147], 0.0, 0.0, 1.0))") # Connection 148: 3, seg 0 (0.244552) -> 21, seg 6 (0.610371) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[148] = new GABA_syn(0.610371)") h("a_baskets_12[3].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.24455237), syn_SmallNet_bask_pyr_GABA_syn[148], 0.0, 0.0, 1.0))") # Connection 149: 9, seg 0 (0.212613) -> 21, seg 6 (0.747416) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[149] = new GABA_syn(0.747416)") h("a_baskets_12[9].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.21261328), syn_SmallNet_bask_pyr_GABA_syn[149], 0.0, 0.0, 1.0))") # Connection 150: 6, seg 0 (0.160704) -> 21, seg 6 (0.139763) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[150] = new GABA_syn(0.139763)") h("a_baskets_12[6].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.16070378), syn_SmallNet_bask_pyr_GABA_syn[150], 0.0, 0.0, 1.0))") # Connection 151: 1, seg 0 (0.437289) -> 21, seg 6 (0.651879) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[151] = new GABA_syn(0.651879)") h("a_baskets_12[1].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.43728888), syn_SmallNet_bask_pyr_GABA_syn[151], 0.0, 0.0, 1.0))") # Connection 152: 0, seg 0 (0.128279) -> 21, seg 6 (0.342041) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[152] = new GABA_syn(0.342041)") h("a_baskets_12[0].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.12827933), syn_SmallNet_bask_pyr_GABA_syn[152], 0.0, 0.0, 1.0))") # Connection 153: 11, seg 0 (0.098724) -> 21, seg 6 (0.228074) h("a_pyramidals_48[21].basal0 syn_SmallNet_bask_pyr_GABA_syn[153] = new GABA_syn(0.228074)") h("a_baskets_12[11].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.09872383), syn_SmallNet_bask_pyr_GABA_syn[153], 0.0, 0.0, 1.0))") # Connection 154: 11, seg 0 (0.964672) -> 22, seg 6 (0.661521) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[154] = new GABA_syn(0.661521)") h("a_baskets_12[11].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.9646719), syn_SmallNet_bask_pyr_GABA_syn[154], 0.0, 0.0, 1.0))") # Connection 155: 10, seg 0 (0.502846) -> 22, seg 6 (0.012860) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[155] = new GABA_syn(0.012860)") h("a_baskets_12[10].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.5028461), syn_SmallNet_bask_pyr_GABA_syn[155], 0.0, 0.0, 1.0))") # Connection 156: 0, seg 0 (0.619464) -> 22, seg 6 (0.225784) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[156] = new GABA_syn(0.225784)") h("a_baskets_12[0].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.61946416), syn_SmallNet_bask_pyr_GABA_syn[156], 0.0, 0.0, 1.0))") # Connection 157: 0, seg 0 (0.263543) -> 22, seg 6 (0.288845) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[157] = new GABA_syn(0.288845)") h("a_baskets_12[0].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.26354253), syn_SmallNet_bask_pyr_GABA_syn[157], 0.0, 0.0, 1.0))") # Connection 158: 7, seg 0 (0.067736) -> 22, seg 6 (0.277812) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[158] = new GABA_syn(0.277812)") h("a_baskets_12[7].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.06773561), syn_SmallNet_bask_pyr_GABA_syn[158], 0.0, 0.0, 1.0))") # Connection 159: 7, seg 0 (0.592228) -> 22, seg 6 (0.552372) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[159] = new GABA_syn(0.552372)") h("a_baskets_12[7].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.59222776), syn_SmallNet_bask_pyr_GABA_syn[159], 0.0, 0.0, 1.0))") # Connection 160: 3, seg 0 (0.202644) -> 22, seg 6 (0.306237) h("a_pyramidals_48[22].basal0 syn_SmallNet_bask_pyr_GABA_syn[160] = new GABA_syn(0.306237)") h("a_baskets_12[3].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.20264441), syn_SmallNet_bask_pyr_GABA_syn[160], 0.0, 0.0, 1.0))") # Connection 161: 1, seg 0 (0.558135) -> 23, seg 6 (0.737413) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[161] = new GABA_syn(0.737413)") h("a_baskets_12[1].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.5581346), syn_SmallNet_bask_pyr_GABA_syn[161], 0.0, 0.0, 1.0))") # Connection 162: 8, seg 0 (0.954807) -> 23, seg 6 (0.348410) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[162] = new GABA_syn(0.348410)") h("a_baskets_12[8].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.954807), syn_SmallNet_bask_pyr_GABA_syn[162], 0.0, 0.0, 1.0))") # Connection 163: 9, seg 0 (0.281111) -> 23, seg 6 (0.032505) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[163] = new GABA_syn(0.032505)") h("a_baskets_12[9].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.28111118), syn_SmallNet_bask_pyr_GABA_syn[163], 0.0, 0.0, 1.0))") # Connection 164: 5, seg 0 (0.921466) -> 23, seg 6 (0.007102) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[164] = new GABA_syn(0.007102)") h("a_baskets_12[5].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.9214659), syn_SmallNet_bask_pyr_GABA_syn[164], 0.0, 0.0, 1.0))") # Connection 165: 9, seg 0 (0.047955) -> 23, seg 6 (0.044126) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[165] = new GABA_syn(0.044126)") h("a_baskets_12[9].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.047954977), syn_SmallNet_bask_pyr_GABA_syn[165], 0.0, 0.0, 1.0))") # Connection 166: 11, seg 0 (0.199631) -> 23, seg 6 (0.622498) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[166] = new GABA_syn(0.622498)") h("a_baskets_12[11].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.19963074), syn_SmallNet_bask_pyr_GABA_syn[166], 0.0, 0.0, 1.0))") # Connection 167: 6, seg 0 (0.998752) -> 23, seg 6 (0.231140) h("a_pyramidals_48[23].basal0 syn_SmallNet_bask_pyr_GABA_syn[167] = new GABA_syn(0.231140)") h("a_baskets_12[6].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.9987523), syn_SmallNet_bask_pyr_GABA_syn[167], 0.0, 0.0, 1.0))") # Connection 168: 5, seg 0 (0.205245) -> 24, seg 6 (0.002601) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[168] = new GABA_syn(0.002601)") h("a_baskets_12[5].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.20524496), syn_SmallNet_bask_pyr_GABA_syn[168], 0.0, 0.0, 1.0))") # Connection 169: 10, seg 0 (0.233157) -> 24, seg 6 (0.304517) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[169] = new GABA_syn(0.304517)") h("a_baskets_12[10].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.23315698), syn_SmallNet_bask_pyr_GABA_syn[169], 0.0, 0.0, 1.0))") # Connection 170: 4, seg 0 (0.944318) -> 24, seg 6 (0.824581) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[170] = new GABA_syn(0.824581)") h("a_baskets_12[4].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.9443184), syn_SmallNet_bask_pyr_GABA_syn[170], 0.0, 0.0, 1.0))") # Connection 171: 2, seg 0 (0.534032) -> 24, seg 6 (0.683173) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[171] = new GABA_syn(0.683173)") h("a_baskets_12[2].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.53403205), syn_SmallNet_bask_pyr_GABA_syn[171], 0.0, 0.0, 1.0))") # Connection 172: 10, seg 0 (0.884406) -> 24, seg 6 (0.591072) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[172] = new GABA_syn(0.591072)") h("a_baskets_12[10].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.8844063), syn_SmallNet_bask_pyr_GABA_syn[172], 0.0, 0.0, 1.0))") # Connection 173: 0, seg 0 (0.883653) -> 24, seg 6 (0.897702) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[173] = new GABA_syn(0.897702)") h("a_baskets_12[0].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.8836534), syn_SmallNet_bask_pyr_GABA_syn[173], 0.0, 0.0, 1.0))") # Connection 174: 11, seg 0 (0.572778) -> 24, seg 6 (0.773243) h("a_pyramidals_48[24].basal0 syn_SmallNet_bask_pyr_GABA_syn[174] = new GABA_syn(0.773243)") h("a_baskets_12[11].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.5727781), syn_SmallNet_bask_pyr_GABA_syn[174], 0.0, 0.0, 1.0))") # Connection 175: 6, seg 0 (0.544422) -> 25, seg 6 (0.748515) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[175] = new GABA_syn(0.748515)") h("a_baskets_12[6].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.5444217), syn_SmallNet_bask_pyr_GABA_syn[175], 0.0, 0.0, 1.0))") # Connection 176: 0, seg 0 (0.298995) -> 25, seg 6 (0.315899) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[176] = new GABA_syn(0.315899)") h("a_baskets_12[0].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.29899544), syn_SmallNet_bask_pyr_GABA_syn[176], 0.0, 0.0, 1.0))") # Connection 177: 10, seg 0 (0.022965) -> 25, seg 6 (0.034504) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[177] = new GABA_syn(0.034504)") h("a_baskets_12[10].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.02296549), syn_SmallNet_bask_pyr_GABA_syn[177], 0.0, 0.0, 1.0))") # Connection 178: 8, seg 0 (0.142681) -> 25, seg 6 (0.739770) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[178] = new GABA_syn(0.739770)") h("a_baskets_12[8].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.14268136), syn_SmallNet_bask_pyr_GABA_syn[178], 0.0, 0.0, 1.0))") # Connection 179: 1, seg 0 (0.651389) -> 25, seg 6 (0.274489) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[179] = new GABA_syn(0.274489)") h("a_baskets_12[1].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.6513891), syn_SmallNet_bask_pyr_GABA_syn[179], 0.0, 0.0, 1.0))") # Connection 180: 7, seg 0 (0.289481) -> 25, seg 6 (0.421406) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[180] = new GABA_syn(0.421406)") h("a_baskets_12[7].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.2894811), syn_SmallNet_bask_pyr_GABA_syn[180], 0.0, 0.0, 1.0))") # Connection 181: 8, seg 0 (0.723762) -> 25, seg 6 (0.950310) h("a_pyramidals_48[25].basal0 syn_SmallNet_bask_pyr_GABA_syn[181] = new GABA_syn(0.950310)") h("a_baskets_12[8].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.72376156), syn_SmallNet_bask_pyr_GABA_syn[181], 0.0, 0.0, 1.0))") # Connection 182: 7, seg 0 (0.859575) -> 26, seg 6 (0.176956) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[182] = new GABA_syn(0.176956)") h("a_baskets_12[7].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.85957533), syn_SmallNet_bask_pyr_GABA_syn[182], 0.0, 0.0, 1.0))") # Connection 183: 2, seg 0 (0.249032) -> 26, seg 6 (0.168488) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[183] = new GABA_syn(0.168488)") h("a_baskets_12[2].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.24903244), syn_SmallNet_bask_pyr_GABA_syn[183], 0.0, 0.0, 1.0))") # Connection 184: 9, seg 0 (0.427851) -> 26, seg 6 (0.525832) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[184] = new GABA_syn(0.525832)") h("a_baskets_12[9].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.42785096), syn_SmallNet_bask_pyr_GABA_syn[184], 0.0, 0.0, 1.0))") # Connection 185: 8, seg 0 (0.457960) -> 26, seg 6 (0.324237) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[185] = new GABA_syn(0.324237)") h("a_baskets_12[8].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.45796), syn_SmallNet_bask_pyr_GABA_syn[185], 0.0, 0.0, 1.0))") # Connection 186: 11, seg 0 (0.684277) -> 26, seg 6 (0.082128) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[186] = new GABA_syn(0.082128)") h("a_baskets_12[11].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.6842771), syn_SmallNet_bask_pyr_GABA_syn[186], 0.0, 0.0, 1.0))") # Connection 187: 8, seg 0 (0.413210) -> 26, seg 6 (0.262709) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[187] = new GABA_syn(0.262709)") h("a_baskets_12[8].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.4132104), syn_SmallNet_bask_pyr_GABA_syn[187], 0.0, 0.0, 1.0))") # Connection 188: 5, seg 0 (0.670862) -> 26, seg 6 (0.090325) h("a_pyramidals_48[26].basal0 syn_SmallNet_bask_pyr_GABA_syn[188] = new GABA_syn(0.090325)") h("a_baskets_12[5].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.67086184), syn_SmallNet_bask_pyr_GABA_syn[188], 0.0, 0.0, 1.0))") # Connection 189: 9, seg 0 (0.178680) -> 27, seg 6 (0.083302) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[189] = new GABA_syn(0.083302)") h("a_baskets_12[9].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.17867965), syn_SmallNet_bask_pyr_GABA_syn[189], 0.0, 0.0, 1.0))") # Connection 190: 6, seg 0 (0.061757) -> 27, seg 6 (0.951204) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[190] = new GABA_syn(0.951204)") h("a_baskets_12[6].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.06175655), syn_SmallNet_bask_pyr_GABA_syn[190], 0.0, 0.0, 1.0))") # Connection 191: 6, seg 0 (0.452912) -> 27, seg 6 (0.539085) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[191] = new GABA_syn(0.539085)") h("a_baskets_12[6].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.45291203), syn_SmallNet_bask_pyr_GABA_syn[191], 0.0, 0.0, 1.0))") # Connection 192: 9, seg 0 (0.689391) -> 27, seg 6 (0.921523) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[192] = new GABA_syn(0.921523)") h("a_baskets_12[9].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.6893911), syn_SmallNet_bask_pyr_GABA_syn[192], 0.0, 0.0, 1.0))") # Connection 193: 1, seg 0 (0.862852) -> 27, seg 6 (0.860429) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[193] = new GABA_syn(0.860429)") h("a_baskets_12[1].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.8628518), syn_SmallNet_bask_pyr_GABA_syn[193], 0.0, 0.0, 1.0))") # Connection 194: 7, seg 0 (0.794172) -> 27, seg 6 (0.115295) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[194] = new GABA_syn(0.115295)") h("a_baskets_12[7].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.7941718), syn_SmallNet_bask_pyr_GABA_syn[194], 0.0, 0.0, 1.0))") # Connection 195: 3, seg 0 (0.355187) -> 27, seg 6 (0.613528) h("a_pyramidals_48[27].basal0 syn_SmallNet_bask_pyr_GABA_syn[195] = new GABA_syn(0.613528)") h("a_baskets_12[3].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.35518742), syn_SmallNet_bask_pyr_GABA_syn[195], 0.0, 0.0, 1.0))") # Connection 196: 8, seg 0 (0.113192) -> 28, seg 6 (0.984760) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[196] = new GABA_syn(0.984760)") h("a_baskets_12[8].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.11319184), syn_SmallNet_bask_pyr_GABA_syn[196], 0.0, 0.0, 1.0))") # Connection 197: 0, seg 0 (0.284039) -> 28, seg 6 (0.347163) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[197] = new GABA_syn(0.347163)") h("a_baskets_12[0].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.2840386), syn_SmallNet_bask_pyr_GABA_syn[197], 0.0, 0.0, 1.0))") # Connection 198: 11, seg 0 (0.597295) -> 28, seg 6 (0.795608) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[198] = new GABA_syn(0.795608)") h("a_baskets_12[11].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.5972948), syn_SmallNet_bask_pyr_GABA_syn[198], 0.0, 0.0, 1.0))") # Connection 199: 6, seg 0 (0.035170) -> 28, seg 6 (0.050588) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[199] = new GABA_syn(0.050588)") h("a_baskets_12[6].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.03516972), syn_SmallNet_bask_pyr_GABA_syn[199], 0.0, 0.0, 1.0))") # Connection 200: 5, seg 0 (0.415893) -> 28, seg 6 (0.253465) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[200] = new GABA_syn(0.253465)") h("a_baskets_12[5].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.41589284), syn_SmallNet_bask_pyr_GABA_syn[200], 0.0, 0.0, 1.0))") # Connection 201: 1, seg 0 (0.546374) -> 28, seg 6 (0.742045) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[201] = new GABA_syn(0.742045)") h("a_baskets_12[1].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.54637355), syn_SmallNet_bask_pyr_GABA_syn[201], 0.0, 0.0, 1.0))") # Connection 202: 1, seg 0 (0.769860) -> 28, seg 6 (0.267712) h("a_pyramidals_48[28].basal0 syn_SmallNet_bask_pyr_GABA_syn[202] = new GABA_syn(0.267712)") h("a_baskets_12[1].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.76986027), syn_SmallNet_bask_pyr_GABA_syn[202], 0.0, 0.0, 1.0))") # Connection 203: 3, seg 0 (0.293428) -> 29, seg 6 (0.710812) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[203] = new GABA_syn(0.710812)") h("a_baskets_12[3].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.29342848), syn_SmallNet_bask_pyr_GABA_syn[203], 0.0, 0.0, 1.0))") # Connection 204: 10, seg 0 (0.909594) -> 29, seg 6 (0.565764) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[204] = new GABA_syn(0.565764)") h("a_baskets_12[10].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.9095945), syn_SmallNet_bask_pyr_GABA_syn[204], 0.0, 0.0, 1.0))") # Connection 205: 10, seg 0 (0.733374) -> 29, seg 6 (0.616470) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[205] = new GABA_syn(0.616470)") h("a_baskets_12[10].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.7333738), syn_SmallNet_bask_pyr_GABA_syn[205], 0.0, 0.0, 1.0))") # Connection 206: 9, seg 0 (0.357856) -> 29, seg 6 (0.378890) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[206] = new GABA_syn(0.378890)") h("a_baskets_12[9].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.3578564), syn_SmallNet_bask_pyr_GABA_syn[206], 0.0, 0.0, 1.0))") # Connection 207: 5, seg 0 (0.318369) -> 29, seg 6 (0.713468) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[207] = new GABA_syn(0.713468)") h("a_baskets_12[5].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.31836945), syn_SmallNet_bask_pyr_GABA_syn[207], 0.0, 0.0, 1.0))") # Connection 208: 1, seg 0 (0.502559) -> 29, seg 6 (0.498475) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[208] = new GABA_syn(0.498475)") h("a_baskets_12[1].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.5025592), syn_SmallNet_bask_pyr_GABA_syn[208], 0.0, 0.0, 1.0))") # Connection 209: 5, seg 0 (0.609867) -> 29, seg 6 (0.271293) h("a_pyramidals_48[29].basal0 syn_SmallNet_bask_pyr_GABA_syn[209] = new GABA_syn(0.271293)") h("a_baskets_12[5].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.6098673), syn_SmallNet_bask_pyr_GABA_syn[209], 0.0, 0.0, 1.0))") # Connection 210: 4, seg 0 (0.945813) -> 30, seg 6 (0.332769) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[210] = new GABA_syn(0.332769)") h("a_baskets_12[4].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.9458131), syn_SmallNet_bask_pyr_GABA_syn[210], 0.0, 0.0, 1.0))") # Connection 211: 0, seg 0 (0.550266) -> 30, seg 6 (0.438771) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[211] = new GABA_syn(0.438771)") h("a_baskets_12[0].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.55026615), syn_SmallNet_bask_pyr_GABA_syn[211], 0.0, 0.0, 1.0))") # Connection 212: 1, seg 0 (0.349817) -> 30, seg 6 (0.958367) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[212] = new GABA_syn(0.958367)") h("a_baskets_12[1].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.34981722), syn_SmallNet_bask_pyr_GABA_syn[212], 0.0, 0.0, 1.0))") # Connection 213: 6, seg 0 (0.970994) -> 30, seg 6 (0.056052) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[213] = new GABA_syn(0.056052)") h("a_baskets_12[6].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.9709941), syn_SmallNet_bask_pyr_GABA_syn[213], 0.0, 0.0, 1.0))") # Connection 214: 2, seg 0 (0.786947) -> 30, seg 6 (0.148564) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[214] = new GABA_syn(0.148564)") h("a_baskets_12[2].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.78694695), syn_SmallNet_bask_pyr_GABA_syn[214], 0.0, 0.0, 1.0))") # Connection 215: 11, seg 0 (0.578783) -> 30, seg 6 (0.180171) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[215] = new GABA_syn(0.180171)") h("a_baskets_12[11].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.57878256), syn_SmallNet_bask_pyr_GABA_syn[215], 0.0, 0.0, 1.0))") # Connection 216: 11, seg 0 (0.069420) -> 30, seg 6 (0.496234) h("a_pyramidals_48[30].basal0 syn_SmallNet_bask_pyr_GABA_syn[216] = new GABA_syn(0.496234)") h("a_baskets_12[11].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.06941956), syn_SmallNet_bask_pyr_GABA_syn[216], 0.0, 0.0, 1.0))") # Connection 217: 0, seg 0 (0.128139) -> 31, seg 6 (0.981879) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[217] = new GABA_syn(0.981879)") h("a_baskets_12[0].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.12813878), syn_SmallNet_bask_pyr_GABA_syn[217], 0.0, 0.0, 1.0))") # Connection 218: 8, seg 0 (0.972708) -> 31, seg 6 (0.757359) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[218] = new GABA_syn(0.757359)") h("a_baskets_12[8].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.972708), syn_SmallNet_bask_pyr_GABA_syn[218], 0.0, 0.0, 1.0))") # Connection 219: 3, seg 0 (0.294907) -> 31, seg 6 (0.894245) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[219] = new GABA_syn(0.894245)") h("a_baskets_12[3].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.29490733), syn_SmallNet_bask_pyr_GABA_syn[219], 0.0, 0.0, 1.0))") # Connection 220: 3, seg 0 (0.752860) -> 31, seg 6 (0.596460) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[220] = new GABA_syn(0.596460)") h("a_baskets_12[3].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.75286037), syn_SmallNet_bask_pyr_GABA_syn[220], 0.0, 0.0, 1.0))") # Connection 221: 10, seg 0 (0.436033) -> 31, seg 6 (0.139410) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[221] = new GABA_syn(0.139410)") h("a_baskets_12[10].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.43603307), syn_SmallNet_bask_pyr_GABA_syn[221], 0.0, 0.0, 1.0))") # Connection 222: 10, seg 0 (0.115804) -> 31, seg 6 (0.038587) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[222] = new GABA_syn(0.038587)") h("a_baskets_12[10].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.11580366), syn_SmallNet_bask_pyr_GABA_syn[222], 0.0, 0.0, 1.0))") # Connection 223: 0, seg 0 (0.812825) -> 31, seg 6 (0.960815) h("a_pyramidals_48[31].basal0 syn_SmallNet_bask_pyr_GABA_syn[223] = new GABA_syn(0.960815)") h("a_baskets_12[0].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.8128254), syn_SmallNet_bask_pyr_GABA_syn[223], 0.0, 0.0, 1.0))") # Connection 224: 7, seg 0 (0.935023) -> 32, seg 6 (0.317733) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[224] = new GABA_syn(0.317733)") h("a_baskets_12[7].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.9350227), syn_SmallNet_bask_pyr_GABA_syn[224], 0.0, 0.0, 1.0))") # Connection 225: 0, seg 0 (0.335847) -> 32, seg 6 (0.091403) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[225] = new GABA_syn(0.091403)") h("a_baskets_12[0].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.3358475), syn_SmallNet_bask_pyr_GABA_syn[225], 0.0, 0.0, 1.0))") # Connection 226: 2, seg 0 (0.002011) -> 32, seg 6 (0.684074) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[226] = new GABA_syn(0.684074)") h("a_baskets_12[2].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.002010703), syn_SmallNet_bask_pyr_GABA_syn[226], 0.0, 0.0, 1.0))") # Connection 227: 9, seg 0 (0.253534) -> 32, seg 6 (0.858540) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[227] = new GABA_syn(0.858540)") h("a_baskets_12[9].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.25353402), syn_SmallNet_bask_pyr_GABA_syn[227], 0.0, 0.0, 1.0))") # Connection 228: 0, seg 0 (0.046917) -> 32, seg 6 (0.453456) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[228] = new GABA_syn(0.453456)") h("a_baskets_12[0].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.04691708), syn_SmallNet_bask_pyr_GABA_syn[228], 0.0, 0.0, 1.0))") # Connection 229: 11, seg 0 (0.362923) -> 32, seg 6 (0.250506) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[229] = new GABA_syn(0.250506)") h("a_baskets_12[11].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.36292326), syn_SmallNet_bask_pyr_GABA_syn[229], 0.0, 0.0, 1.0))") # Connection 230: 7, seg 0 (0.574753) -> 32, seg 6 (0.047337) h("a_pyramidals_48[32].basal0 syn_SmallNet_bask_pyr_GABA_syn[230] = new GABA_syn(0.047337)") h("a_baskets_12[7].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.57475275), syn_SmallNet_bask_pyr_GABA_syn[230], 0.0, 0.0, 1.0))") # Connection 231: 7, seg 0 (0.610481) -> 33, seg 6 (0.252653) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[231] = new GABA_syn(0.252653)") h("a_baskets_12[7].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.6104809), syn_SmallNet_bask_pyr_GABA_syn[231], 0.0, 0.0, 1.0))") # Connection 232: 9, seg 0 (0.615390) -> 33, seg 6 (0.746431) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[232] = new GABA_syn(0.746431)") h("a_baskets_12[9].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.6153902), syn_SmallNet_bask_pyr_GABA_syn[232], 0.0, 0.0, 1.0))") # Connection 233: 10, seg 0 (0.051336) -> 33, seg 6 (0.776664) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[233] = new GABA_syn(0.776664)") h("a_baskets_12[10].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.05133581), syn_SmallNet_bask_pyr_GABA_syn[233], 0.0, 0.0, 1.0))") # Connection 234: 1, seg 0 (0.719114) -> 33, seg 6 (0.768757) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[234] = new GABA_syn(0.768757)") h("a_baskets_12[1].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.719114), syn_SmallNet_bask_pyr_GABA_syn[234], 0.0, 0.0, 1.0))") # Connection 235: 3, seg 0 (0.853033) -> 33, seg 6 (0.674951) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[235] = new GABA_syn(0.674951)") h("a_baskets_12[3].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.8530328), syn_SmallNet_bask_pyr_GABA_syn[235], 0.0, 0.0, 1.0))") # Connection 236: 5, seg 0 (0.731676) -> 33, seg 6 (0.894318) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[236] = new GABA_syn(0.894318)") h("a_baskets_12[5].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.7316759), syn_SmallNet_bask_pyr_GABA_syn[236], 0.0, 0.0, 1.0))") # Connection 237: 3, seg 0 (0.876547) -> 33, seg 6 (0.283782) h("a_pyramidals_48[33].basal0 syn_SmallNet_bask_pyr_GABA_syn[237] = new GABA_syn(0.283782)") h("a_baskets_12[3].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.87654656), syn_SmallNet_bask_pyr_GABA_syn[237], 0.0, 0.0, 1.0))") # Connection 238: 9, seg 0 (0.672164) -> 34, seg 6 (0.124130) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[238] = new GABA_syn(0.124130)") h("a_baskets_12[9].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.6721639), syn_SmallNet_bask_pyr_GABA_syn[238], 0.0, 0.0, 1.0))") # Connection 239: 0, seg 0 (0.655449) -> 34, seg 6 (0.916561) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[239] = new GABA_syn(0.916561)") h("a_baskets_12[0].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.6554494), syn_SmallNet_bask_pyr_GABA_syn[239], 0.0, 0.0, 1.0))") # Connection 240: 11, seg 0 (0.640805) -> 34, seg 6 (0.992249) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[240] = new GABA_syn(0.992249)") h("a_baskets_12[11].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.6408048), syn_SmallNet_bask_pyr_GABA_syn[240], 0.0, 0.0, 1.0))") # Connection 241: 6, seg 0 (0.887184) -> 34, seg 6 (0.476303) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[241] = new GABA_syn(0.476303)") h("a_baskets_12[6].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.88718355), syn_SmallNet_bask_pyr_GABA_syn[241], 0.0, 0.0, 1.0))") # Connection 242: 1, seg 0 (0.614530) -> 34, seg 6 (0.620298) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[242] = new GABA_syn(0.620298)") h("a_baskets_12[1].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.6145298), syn_SmallNet_bask_pyr_GABA_syn[242], 0.0, 0.0, 1.0))") # Connection 243: 1, seg 0 (0.640852) -> 34, seg 6 (0.538370) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[243] = new GABA_syn(0.538370)") h("a_baskets_12[1].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.6408524), syn_SmallNet_bask_pyr_GABA_syn[243], 0.0, 0.0, 1.0))") # Connection 244: 1, seg 0 (0.934017) -> 34, seg 6 (0.408231) h("a_pyramidals_48[34].basal0 syn_SmallNet_bask_pyr_GABA_syn[244] = new GABA_syn(0.408231)") h("a_baskets_12[1].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.93401664), syn_SmallNet_bask_pyr_GABA_syn[244], 0.0, 0.0, 1.0))") # Connection 245: 1, seg 0 (0.672067) -> 35, seg 6 (0.134870) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[245] = new GABA_syn(0.134870)") h("a_baskets_12[1].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.6720668), syn_SmallNet_bask_pyr_GABA_syn[245], 0.0, 0.0, 1.0))") # Connection 246: 6, seg 0 (0.501299) -> 35, seg 6 (0.237055) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[246] = new GABA_syn(0.237055)") h("a_baskets_12[6].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.5012989), syn_SmallNet_bask_pyr_GABA_syn[246], 0.0, 0.0, 1.0))") # Connection 247: 4, seg 0 (0.509468) -> 35, seg 6 (0.791108) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[247] = new GABA_syn(0.791108)") h("a_baskets_12[4].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.50946826), syn_SmallNet_bask_pyr_GABA_syn[247], 0.0, 0.0, 1.0))") # Connection 248: 3, seg 0 (0.905856) -> 35, seg 6 (0.716458) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[248] = new GABA_syn(0.716458)") h("a_baskets_12[3].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.90585613), syn_SmallNet_bask_pyr_GABA_syn[248], 0.0, 0.0, 1.0))") # Connection 249: 1, seg 0 (0.832906) -> 35, seg 6 (0.824649) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[249] = new GABA_syn(0.824649)") h("a_baskets_12[1].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.8329058), syn_SmallNet_bask_pyr_GABA_syn[249], 0.0, 0.0, 1.0))") # Connection 250: 6, seg 0 (0.422670) -> 35, seg 6 (0.003507) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[250] = new GABA_syn(0.003507)") h("a_baskets_12[6].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.42266965), syn_SmallNet_bask_pyr_GABA_syn[250], 0.0, 0.0, 1.0))") # Connection 251: 8, seg 0 (0.570558) -> 35, seg 6 (0.407547) h("a_pyramidals_48[35].basal0 syn_SmallNet_bask_pyr_GABA_syn[251] = new GABA_syn(0.407547)") h("a_baskets_12[8].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.5705579), syn_SmallNet_bask_pyr_GABA_syn[251], 0.0, 0.0, 1.0))") # Connection 252: 10, seg 0 (0.487853) -> 36, seg 6 (0.423515) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[252] = new GABA_syn(0.423515)") h("a_baskets_12[10].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.48785317), syn_SmallNet_bask_pyr_GABA_syn[252], 0.0, 0.0, 1.0))") # Connection 253: 10, seg 0 (0.339963) -> 36, seg 6 (0.545671) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[253] = new GABA_syn(0.545671)") h("a_baskets_12[10].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.33996302), syn_SmallNet_bask_pyr_GABA_syn[253], 0.0, 0.0, 1.0))") # Connection 254: 5, seg 0 (0.497265) -> 36, seg 6 (0.898198) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[254] = new GABA_syn(0.898198)") h("a_baskets_12[5].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.49726492), syn_SmallNet_bask_pyr_GABA_syn[254], 0.0, 0.0, 1.0))") # Connection 255: 8, seg 0 (0.944687) -> 36, seg 6 (0.535666) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[255] = new GABA_syn(0.535666)") h("a_baskets_12[8].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.94468653), syn_SmallNet_bask_pyr_GABA_syn[255], 0.0, 0.0, 1.0))") # Connection 256: 2, seg 0 (0.534768) -> 36, seg 6 (0.622339) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[256] = new GABA_syn(0.622339)") h("a_baskets_12[2].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.53476846), syn_SmallNet_bask_pyr_GABA_syn[256], 0.0, 0.0, 1.0))") # Connection 257: 5, seg 0 (0.550097) -> 36, seg 6 (0.813767) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[257] = new GABA_syn(0.813767)") h("a_baskets_12[5].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.55009663), syn_SmallNet_bask_pyr_GABA_syn[257], 0.0, 0.0, 1.0))") # Connection 258: 8, seg 0 (0.291537) -> 36, seg 6 (0.708604) h("a_pyramidals_48[36].basal0 syn_SmallNet_bask_pyr_GABA_syn[258] = new GABA_syn(0.708604)") h("a_baskets_12[8].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.29153728), syn_SmallNet_bask_pyr_GABA_syn[258], 0.0, 0.0, 1.0))") # Connection 259: 8, seg 0 (0.458472) -> 37, seg 6 (0.798385) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[259] = new GABA_syn(0.798385)") h("a_baskets_12[8].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.45847178), syn_SmallNet_bask_pyr_GABA_syn[259], 0.0, 0.0, 1.0))") # Connection 260: 0, seg 0 (0.532358) -> 37, seg 6 (0.067570) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[260] = new GABA_syn(0.067570)") h("a_baskets_12[0].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.5323577), syn_SmallNet_bask_pyr_GABA_syn[260], 0.0, 0.0, 1.0))") # Connection 261: 2, seg 0 (0.386036) -> 37, seg 6 (0.432587) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[261] = new GABA_syn(0.432587)") h("a_baskets_12[2].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.38603616), syn_SmallNet_bask_pyr_GABA_syn[261], 0.0, 0.0, 1.0))") # Connection 262: 10, seg 0 (0.121947) -> 37, seg 6 (0.794440) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[262] = new GABA_syn(0.794440)") h("a_baskets_12[10].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.12194735), syn_SmallNet_bask_pyr_GABA_syn[262], 0.0, 0.0, 1.0))") # Connection 263: 7, seg 0 (0.163175) -> 37, seg 6 (0.538829) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[263] = new GABA_syn(0.538829)") h("a_baskets_12[7].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.16317493), syn_SmallNet_bask_pyr_GABA_syn[263], 0.0, 0.0, 1.0))") # Connection 264: 0, seg 0 (0.354389) -> 37, seg 6 (0.261961) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[264] = new GABA_syn(0.261961)") h("a_baskets_12[0].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.3543886), syn_SmallNet_bask_pyr_GABA_syn[264], 0.0, 0.0, 1.0))") # Connection 265: 9, seg 0 (0.193952) -> 37, seg 6 (0.367663) h("a_pyramidals_48[37].basal0 syn_SmallNet_bask_pyr_GABA_syn[265] = new GABA_syn(0.367663)") h("a_baskets_12[9].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.19395155), syn_SmallNet_bask_pyr_GABA_syn[265], 0.0, 0.0, 1.0))") # Connection 266: 3, seg 0 (0.974196) -> 38, seg 6 (0.222306) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[266] = new GABA_syn(0.222306)") h("a_baskets_12[3].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.97419643), syn_SmallNet_bask_pyr_GABA_syn[266], 0.0, 0.0, 1.0))") # Connection 267: 7, seg 0 (0.601360) -> 38, seg 6 (0.608262) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[267] = new GABA_syn(0.608262)") h("a_baskets_12[7].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.6013603), syn_SmallNet_bask_pyr_GABA_syn[267], 0.0, 0.0, 1.0))") # Connection 268: 11, seg 0 (0.030022) -> 38, seg 6 (0.114480) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[268] = new GABA_syn(0.114480)") h("a_baskets_12[11].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.030022442), syn_SmallNet_bask_pyr_GABA_syn[268], 0.0, 0.0, 1.0))") # Connection 269: 8, seg 0 (0.204172) -> 38, seg 6 (0.585428) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[269] = new GABA_syn(0.585428)") h("a_baskets_12[8].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.2041719), syn_SmallNet_bask_pyr_GABA_syn[269], 0.0, 0.0, 1.0))") # Connection 270: 10, seg 0 (0.604211) -> 38, seg 6 (0.512805) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[270] = new GABA_syn(0.512805)") h("a_baskets_12[10].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.604211), syn_SmallNet_bask_pyr_GABA_syn[270], 0.0, 0.0, 1.0))") # Connection 271: 5, seg 0 (0.786598) -> 38, seg 6 (0.116796) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[271] = new GABA_syn(0.116796)") h("a_baskets_12[5].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.78659755), syn_SmallNet_bask_pyr_GABA_syn[271], 0.0, 0.0, 1.0))") # Connection 272: 5, seg 0 (0.521311) -> 38, seg 6 (0.323704) h("a_pyramidals_48[38].basal0 syn_SmallNet_bask_pyr_GABA_syn[272] = new GABA_syn(0.323704)") h("a_baskets_12[5].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.5213106), syn_SmallNet_bask_pyr_GABA_syn[272], 0.0, 0.0, 1.0))") # Connection 273: 11, seg 0 (0.767487) -> 39, seg 6 (0.693204) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[273] = new GABA_syn(0.693204)") h("a_baskets_12[11].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.76748747), syn_SmallNet_bask_pyr_GABA_syn[273], 0.0, 0.0, 1.0))") # Connection 274: 7, seg 0 (0.154166) -> 39, seg 6 (0.035681) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[274] = new GABA_syn(0.035681)") h("a_baskets_12[7].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.1541661), syn_SmallNet_bask_pyr_GABA_syn[274], 0.0, 0.0, 1.0))") # Connection 275: 0, seg 0 (0.198447) -> 39, seg 6 (0.856734) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[275] = new GABA_syn(0.856734)") h("a_baskets_12[0].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.19844651), syn_SmallNet_bask_pyr_GABA_syn[275], 0.0, 0.0, 1.0))") # Connection 276: 11, seg 0 (0.856997) -> 39, seg 6 (0.461560) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[276] = new GABA_syn(0.461560)") h("a_baskets_12[11].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.8569969), syn_SmallNet_bask_pyr_GABA_syn[276], 0.0, 0.0, 1.0))") # Connection 277: 3, seg 0 (0.686399) -> 39, seg 6 (0.477086) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[277] = new GABA_syn(0.477086)") h("a_baskets_12[3].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.68639916), syn_SmallNet_bask_pyr_GABA_syn[277], 0.0, 0.0, 1.0))") # Connection 278: 2, seg 0 (0.105822) -> 39, seg 6 (0.658899) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[278] = new GABA_syn(0.658899)") h("a_baskets_12[2].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.10582209), syn_SmallNet_bask_pyr_GABA_syn[278], 0.0, 0.0, 1.0))") # Connection 279: 1, seg 0 (0.511767) -> 39, seg 6 (0.258686) h("a_pyramidals_48[39].basal0 syn_SmallNet_bask_pyr_GABA_syn[279] = new GABA_syn(0.258686)") h("a_baskets_12[1].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.5117668), syn_SmallNet_bask_pyr_GABA_syn[279], 0.0, 0.0, 1.0))") # Connection 280: 5, seg 0 (0.147469) -> 40, seg 6 (0.498140) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[280] = new GABA_syn(0.498140)") h("a_baskets_12[5].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.14746886), syn_SmallNet_bask_pyr_GABA_syn[280], 0.0, 0.0, 1.0))") # Connection 281: 1, seg 0 (0.925909) -> 40, seg 6 (0.546794) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[281] = new GABA_syn(0.546794)") h("a_baskets_12[1].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.925909), syn_SmallNet_bask_pyr_GABA_syn[281], 0.0, 0.0, 1.0))") # Connection 282: 8, seg 0 (0.931934) -> 40, seg 6 (0.592890) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[282] = new GABA_syn(0.592890)") h("a_baskets_12[8].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.9319342), syn_SmallNet_bask_pyr_GABA_syn[282], 0.0, 0.0, 1.0))") # Connection 283: 10, seg 0 (0.843099) -> 40, seg 6 (0.807049) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[283] = new GABA_syn(0.807049)") h("a_baskets_12[10].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.84309924), syn_SmallNet_bask_pyr_GABA_syn[283], 0.0, 0.0, 1.0))") # Connection 284: 7, seg 0 (0.712860) -> 40, seg 6 (0.293512) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[284] = new GABA_syn(0.293512)") h("a_baskets_12[7].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.71286017), syn_SmallNet_bask_pyr_GABA_syn[284], 0.0, 0.0, 1.0))") # Connection 285: 2, seg 0 (0.800292) -> 40, seg 6 (0.870343) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[285] = new GABA_syn(0.870343)") h("a_baskets_12[2].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.8002921), syn_SmallNet_bask_pyr_GABA_syn[285], 0.0, 0.0, 1.0))") # Connection 286: 0, seg 0 (0.520459) -> 40, seg 6 (0.945339) h("a_pyramidals_48[40].basal0 syn_SmallNet_bask_pyr_GABA_syn[286] = new GABA_syn(0.945339)") h("a_baskets_12[0].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.52045894), syn_SmallNet_bask_pyr_GABA_syn[286], 0.0, 0.0, 1.0))") # Connection 287: 8, seg 0 (0.809248) -> 41, seg 6 (0.551661) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[287] = new GABA_syn(0.551661)") h("a_baskets_12[8].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.80924755), syn_SmallNet_bask_pyr_GABA_syn[287], 0.0, 0.0, 1.0))") # Connection 288: 9, seg 0 (0.910129) -> 41, seg 6 (0.071675) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[288] = new GABA_syn(0.071675)") h("a_baskets_12[9].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.9101289), syn_SmallNet_bask_pyr_GABA_syn[288], 0.0, 0.0, 1.0))") # Connection 289: 5, seg 0 (0.778454) -> 41, seg 6 (0.923958) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[289] = new GABA_syn(0.923958)") h("a_baskets_12[5].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.778454), syn_SmallNet_bask_pyr_GABA_syn[289], 0.0, 0.0, 1.0))") # Connection 290: 1, seg 0 (0.508570) -> 41, seg 6 (0.522640) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[290] = new GABA_syn(0.522640)") h("a_baskets_12[1].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.50857), syn_SmallNet_bask_pyr_GABA_syn[290], 0.0, 0.0, 1.0))") # Connection 291: 3, seg 0 (0.940369) -> 41, seg 6 (0.355798) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[291] = new GABA_syn(0.355798)") h("a_baskets_12[3].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.94036925), syn_SmallNet_bask_pyr_GABA_syn[291], 0.0, 0.0, 1.0))") # Connection 292: 4, seg 0 (0.035468) -> 41, seg 6 (0.628971) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[292] = new GABA_syn(0.628971)") h("a_baskets_12[4].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.03546846), syn_SmallNet_bask_pyr_GABA_syn[292], 0.0, 0.0, 1.0))") # Connection 293: 6, seg 0 (0.328020) -> 41, seg 6 (0.948228) h("a_pyramidals_48[41].basal0 syn_SmallNet_bask_pyr_GABA_syn[293] = new GABA_syn(0.948228)") h("a_baskets_12[6].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.3280204), syn_SmallNet_bask_pyr_GABA_syn[293], 0.0, 0.0, 1.0))") # Connection 294: 11, seg 0 (0.543841) -> 42, seg 6 (0.074087) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[294] = new GABA_syn(0.074087)") h("a_baskets_12[11].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.54384124), syn_SmallNet_bask_pyr_GABA_syn[294], 0.0, 0.0, 1.0))") # Connection 295: 8, seg 0 (0.992374) -> 42, seg 6 (0.638499) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[295] = new GABA_syn(0.638499)") h("a_baskets_12[8].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.99237394), syn_SmallNet_bask_pyr_GABA_syn[295], 0.0, 0.0, 1.0))") # Connection 296: 11, seg 0 (0.617561) -> 42, seg 6 (0.667823) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[296] = new GABA_syn(0.667823)") h("a_baskets_12[11].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.617561), syn_SmallNet_bask_pyr_GABA_syn[296], 0.0, 0.0, 1.0))") # Connection 297: 2, seg 0 (0.583685) -> 42, seg 6 (0.640924) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[297] = new GABA_syn(0.640924)") h("a_baskets_12[2].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.5836846), syn_SmallNet_bask_pyr_GABA_syn[297], 0.0, 0.0, 1.0))") # Connection 298: 0, seg 0 (0.204955) -> 42, seg 6 (0.900590) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[298] = new GABA_syn(0.900590)") h("a_baskets_12[0].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.20495468), syn_SmallNet_bask_pyr_GABA_syn[298], 0.0, 0.0, 1.0))") # Connection 299: 2, seg 0 (0.466114) -> 42, seg 6 (0.844572) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[299] = new GABA_syn(0.844572)") h("a_baskets_12[2].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.46611398), syn_SmallNet_bask_pyr_GABA_syn[299], 0.0, 0.0, 1.0))") # Connection 300: 4, seg 0 (0.388741) -> 42, seg 6 (0.199132) h("a_pyramidals_48[42].basal0 syn_SmallNet_bask_pyr_GABA_syn[300] = new GABA_syn(0.199132)") h("a_baskets_12[4].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.3887415), syn_SmallNet_bask_pyr_GABA_syn[300], 0.0, 0.0, 1.0))") # Connection 301: 3, seg 0 (0.044362) -> 43, seg 6 (0.828116) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[301] = new GABA_syn(0.828116)") h("a_baskets_12[3].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.04436207), syn_SmallNet_bask_pyr_GABA_syn[301], 0.0, 0.0, 1.0))") # Connection 302: 2, seg 0 (0.677424) -> 43, seg 6 (0.452479) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[302] = new GABA_syn(0.452479)") h("a_baskets_12[2].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.6774237), syn_SmallNet_bask_pyr_GABA_syn[302], 0.0, 0.0, 1.0))") # Connection 303: 3, seg 0 (0.402985) -> 43, seg 6 (0.623731) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[303] = new GABA_syn(0.623731)") h("a_baskets_12[3].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.4029848), syn_SmallNet_bask_pyr_GABA_syn[303], 0.0, 0.0, 1.0))") # Connection 304: 9, seg 0 (0.530780) -> 43, seg 6 (0.045277) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[304] = new GABA_syn(0.045277)") h("a_baskets_12[9].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.5307796), syn_SmallNet_bask_pyr_GABA_syn[304], 0.0, 0.0, 1.0))") # Connection 305: 1, seg 0 (0.301571) -> 43, seg 6 (0.832962) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[305] = new GABA_syn(0.832962)") h("a_baskets_12[1].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.30157137), syn_SmallNet_bask_pyr_GABA_syn[305], 0.0, 0.0, 1.0))") # Connection 306: 10, seg 0 (0.151438) -> 43, seg 6 (0.866191) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[306] = new GABA_syn(0.866191)") h("a_baskets_12[10].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.15143788), syn_SmallNet_bask_pyr_GABA_syn[306], 0.0, 0.0, 1.0))") # Connection 307: 10, seg 0 (0.011771) -> 43, seg 6 (0.557898) h("a_pyramidals_48[43].basal0 syn_SmallNet_bask_pyr_GABA_syn[307] = new GABA_syn(0.557898)") h("a_baskets_12[10].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.011770546), syn_SmallNet_bask_pyr_GABA_syn[307], 0.0, 0.0, 1.0))") # Connection 308: 8, seg 0 (0.417231) -> 44, seg 6 (0.581755) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[308] = new GABA_syn(0.581755)") h("a_baskets_12[8].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.4172306), syn_SmallNet_bask_pyr_GABA_syn[308], 0.0, 0.0, 1.0))") # Connection 309: 4, seg 0 (0.912749) -> 44, seg 6 (0.547306) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[309] = new GABA_syn(0.547306)") h("a_baskets_12[4].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.9127492), syn_SmallNet_bask_pyr_GABA_syn[309], 0.0, 0.0, 1.0))") # Connection 310: 0, seg 0 (0.446263) -> 44, seg 6 (0.967267) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[310] = new GABA_syn(0.967267)") h("a_baskets_12[0].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.44626313), syn_SmallNet_bask_pyr_GABA_syn[310], 0.0, 0.0, 1.0))") # Connection 311: 2, seg 0 (0.347881) -> 44, seg 6 (0.251653) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[311] = new GABA_syn(0.251653)") h("a_baskets_12[2].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.34788138), syn_SmallNet_bask_pyr_GABA_syn[311], 0.0, 0.0, 1.0))") # Connection 312: 8, seg 0 (0.914585) -> 44, seg 6 (0.569918) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[312] = new GABA_syn(0.569918)") h("a_baskets_12[8].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.91458523), syn_SmallNet_bask_pyr_GABA_syn[312], 0.0, 0.0, 1.0))") # Connection 313: 1, seg 0 (0.751852) -> 44, seg 6 (0.543621) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[313] = new GABA_syn(0.543621)") h("a_baskets_12[1].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.7518518), syn_SmallNet_bask_pyr_GABA_syn[313], 0.0, 0.0, 1.0))") # Connection 314: 2, seg 0 (0.272769) -> 44, seg 6 (0.961339) h("a_pyramidals_48[44].basal0 syn_SmallNet_bask_pyr_GABA_syn[314] = new GABA_syn(0.961339)") h("a_baskets_12[2].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.27276874), syn_SmallNet_bask_pyr_GABA_syn[314], 0.0, 0.0, 1.0))") # Connection 315: 6, seg 0 (0.555910) -> 45, seg 6 (0.125805) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[315] = new GABA_syn(0.125805)") h("a_baskets_12[6].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.55591035), syn_SmallNet_bask_pyr_GABA_syn[315], 0.0, 0.0, 1.0))") # Connection 316: 4, seg 0 (0.431035) -> 45, seg 6 (0.206251) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[316] = new GABA_syn(0.206251)") h("a_baskets_12[4].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.4310354), syn_SmallNet_bask_pyr_GABA_syn[316], 0.0, 0.0, 1.0))") # Connection 317: 8, seg 0 (0.398925) -> 45, seg 6 (0.929112) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[317] = new GABA_syn(0.929112)") h("a_baskets_12[8].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.39892495), syn_SmallNet_bask_pyr_GABA_syn[317], 0.0, 0.0, 1.0))") # Connection 318: 3, seg 0 (0.323582) -> 45, seg 6 (0.194337) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[318] = new GABA_syn(0.194337)") h("a_baskets_12[3].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.323582), syn_SmallNet_bask_pyr_GABA_syn[318], 0.0, 0.0, 1.0))") # Connection 319: 7, seg 0 (0.776455) -> 45, seg 6 (0.430553) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[319] = new GABA_syn(0.430553)") h("a_baskets_12[7].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.77645487), syn_SmallNet_bask_pyr_GABA_syn[319], 0.0, 0.0, 1.0))") # Connection 320: 5, seg 0 (0.807747) -> 45, seg 6 (0.904698) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[320] = new GABA_syn(0.904698)") h("a_baskets_12[5].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.8077465), syn_SmallNet_bask_pyr_GABA_syn[320], 0.0, 0.0, 1.0))") # Connection 321: 0, seg 0 (0.633028) -> 45, seg 6 (0.322225) h("a_pyramidals_48[45].basal0 syn_SmallNet_bask_pyr_GABA_syn[321] = new GABA_syn(0.322225)") h("a_baskets_12[0].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.633028), syn_SmallNet_bask_pyr_GABA_syn[321], 0.0, 0.0, 1.0))") # Connection 322: 2, seg 0 (0.576936) -> 46, seg 6 (0.070946) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[322] = new GABA_syn(0.070946)") h("a_baskets_12[2].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.57693636), syn_SmallNet_bask_pyr_GABA_syn[322], 0.0, 0.0, 1.0))") # Connection 323: 7, seg 0 (0.869527) -> 46, seg 6 (0.847209) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[323] = new GABA_syn(0.847209)") h("a_baskets_12[7].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.8695265), syn_SmallNet_bask_pyr_GABA_syn[323], 0.0, 0.0, 1.0))") # Connection 324: 0, seg 0 (0.998115) -> 46, seg 6 (0.256664) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[324] = new GABA_syn(0.256664)") h("a_baskets_12[0].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.99811465), syn_SmallNet_bask_pyr_GABA_syn[324], 0.0, 0.0, 1.0))") # Connection 325: 10, seg 0 (0.741050) -> 46, seg 6 (0.153532) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[325] = new GABA_syn(0.153532)") h("a_baskets_12[10].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.7410501), syn_SmallNet_bask_pyr_GABA_syn[325], 0.0, 0.0, 1.0))") # Connection 326: 8, seg 0 (0.660215) -> 46, seg 6 (0.543824) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[326] = new GABA_syn(0.543824)") h("a_baskets_12[8].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.6602155), syn_SmallNet_bask_pyr_GABA_syn[326], 0.0, 0.0, 1.0))") # Connection 327: 8, seg 0 (0.515127) -> 46, seg 6 (0.772163) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[327] = new GABA_syn(0.772163)") h("a_baskets_12[8].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.5151271), syn_SmallNet_bask_pyr_GABA_syn[327], 0.0, 0.0, 1.0))") # Connection 328: 2, seg 0 (0.362511) -> 46, seg 6 (0.606803) h("a_pyramidals_48[46].basal0 syn_SmallNet_bask_pyr_GABA_syn[328] = new GABA_syn(0.606803)") h("a_baskets_12[2].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.36251134), syn_SmallNet_bask_pyr_GABA_syn[328], 0.0, 0.0, 1.0))") # Connection 329: 0, seg 0 (0.879999) -> 47, seg 6 (0.083833) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[329] = new GABA_syn(0.083833)") h("a_baskets_12[0].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.87999946), syn_SmallNet_bask_pyr_GABA_syn[329], 0.0, 0.0, 1.0))") # Connection 330: 11, seg 0 (0.234097) -> 47, seg 6 (0.826980) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[330] = new GABA_syn(0.826980)") h("a_baskets_12[11].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.23409665), syn_SmallNet_bask_pyr_GABA_syn[330], 0.0, 0.0, 1.0))") # Connection 331: 1, seg 0 (0.896576) -> 47, seg 6 (0.591950) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[331] = new GABA_syn(0.591950)") h("a_baskets_12[1].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.8965758), syn_SmallNet_bask_pyr_GABA_syn[331], 0.0, 0.0, 1.0))") # Connection 332: 5, seg 0 (0.578262) -> 47, seg 6 (0.629266) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[332] = new GABA_syn(0.629266)") h("a_baskets_12[5].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.5782621), syn_SmallNet_bask_pyr_GABA_syn[332], 0.0, 0.0, 1.0))") # Connection 333: 6, seg 0 (0.973102) -> 47, seg 6 (0.365342) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[333] = new GABA_syn(0.365342)") h("a_baskets_12[6].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.97310203), syn_SmallNet_bask_pyr_GABA_syn[333], 0.0, 0.0, 1.0))") # Connection 334: 3, seg 0 (0.316544) -> 47, seg 6 (0.931175) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[334] = new GABA_syn(0.931175)") h("a_baskets_12[3].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.31654412), syn_SmallNet_bask_pyr_GABA_syn[334], 0.0, 0.0, 1.0))") # Connection 335: 2, seg 0 (0.168193) -> 47, seg 6 (0.253872) h("a_pyramidals_48[47].basal0 syn_SmallNet_bask_pyr_GABA_syn[335] = new GABA_syn(0.253872)") h("a_baskets_12[2].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.1681934), syn_SmallNet_bask_pyr_GABA_syn[335], 0.0, 0.0, 1.0))") # Adding projection: SmallNet_pyr_pyr, from pyramidals_48 to pyramidals_48 with synapse AMPA_syn, 336 connection(s) h("objectvar syn_SmallNet_pyr_pyr_AMPA_syn[336]") # Connection 0: 14, seg 0 (0.528143) -> 0, seg 3 (0.107969) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[0] = new AMPA_syn(0.107969)") h("a_pyramidals_48[14].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.5281431), syn_SmallNet_pyr_pyr_AMPA_syn[0], 0.0, 0.0, 1.0))") # Connection 1: 11, seg 0 (0.764879) -> 0, seg 3 (0.773212) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[1] = new AMPA_syn(0.773212)") h("a_pyramidals_48[11].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.76487905), syn_SmallNet_pyr_pyr_AMPA_syn[1], 0.0, 0.0, 1.0))") # Connection 2: 17, seg 0 (0.533289) -> 0, seg 3 (0.144369) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[2] = new AMPA_syn(0.144369)") h("a_pyramidals_48[17].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.5332893), syn_SmallNet_pyr_pyr_AMPA_syn[2], 0.0, 0.0, 1.0))") # Connection 3: 30, seg 0 (0.833402) -> 0, seg 3 (0.532087) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[3] = new AMPA_syn(0.532087)") h("a_pyramidals_48[30].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.83340174), syn_SmallNet_pyr_pyr_AMPA_syn[3], 0.0, 0.0, 1.0))") # Connection 4: 46, seg 0 (0.579621) -> 0, seg 3 (0.957226) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[4] = new AMPA_syn(0.957226)") h("a_pyramidals_48[46].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.5796207), syn_SmallNet_pyr_pyr_AMPA_syn[4], 0.0, 0.0, 1.0))") # Connection 5: 33, seg 0 (0.596923) -> 0, seg 3 (0.389855) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[5] = new AMPA_syn(0.389855)") h("a_pyramidals_48[33].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.5969233), syn_SmallNet_pyr_pyr_AMPA_syn[5], 0.0, 0.0, 1.0))") # Connection 6: 8, seg 0 (0.355394) -> 0, seg 3 (0.436514) h("a_pyramidals_48[0].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[6] = new AMPA_syn(0.436514)") h("a_pyramidals_48[8].soma a_pyramidals_48[0].synlist.append(new NetCon(&v(0.35539436), syn_SmallNet_pyr_pyr_AMPA_syn[6], 0.0, 0.0, 1.0))") # Connection 7: 7, seg 0 (0.638013) -> 1, seg 3 (0.081532) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[7] = new AMPA_syn(0.081532)") h("a_pyramidals_48[7].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.638013), syn_SmallNet_pyr_pyr_AMPA_syn[7], 0.0, 0.0, 1.0))") # Connection 8: 6, seg 0 (0.271196) -> 1, seg 3 (0.484467) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[8] = new AMPA_syn(0.484467)") h("a_pyramidals_48[6].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.2711959), syn_SmallNet_pyr_pyr_AMPA_syn[8], 0.0, 0.0, 1.0))") # Connection 9: 26, seg 0 (0.426214) -> 1, seg 3 (0.593457) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[9] = new AMPA_syn(0.593457)") h("a_pyramidals_48[26].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.4262135), syn_SmallNet_pyr_pyr_AMPA_syn[9], 0.0, 0.0, 1.0))") # Connection 10: 22, seg 0 (0.503676) -> 1, seg 3 (0.968940) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[10] = new AMPA_syn(0.968940)") h("a_pyramidals_48[22].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.50367624), syn_SmallNet_pyr_pyr_AMPA_syn[10], 0.0, 0.0, 1.0))") # Connection 11: 12, seg 0 (0.427743) -> 1, seg 3 (0.865828) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[11] = new AMPA_syn(0.865828)") h("a_pyramidals_48[12].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.42774254), syn_SmallNet_pyr_pyr_AMPA_syn[11], 0.0, 0.0, 1.0))") # Connection 12: 10, seg 0 (0.126454) -> 1, seg 3 (0.713773) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[12] = new AMPA_syn(0.713773)") h("a_pyramidals_48[10].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.126454), syn_SmallNet_pyr_pyr_AMPA_syn[12], 0.0, 0.0, 1.0))") # Connection 13: 14, seg 0 (0.959457) -> 1, seg 3 (0.182878) h("a_pyramidals_48[1].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[13] = new AMPA_syn(0.182878)") h("a_pyramidals_48[14].soma a_pyramidals_48[1].synlist.append(new NetCon(&v(0.9594574), syn_SmallNet_pyr_pyr_AMPA_syn[13], 0.0, 0.0, 1.0))") # Connection 14: 6, seg 0 (0.548644) -> 2, seg 3 (0.492154) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[14] = new AMPA_syn(0.492154)") h("a_pyramidals_48[6].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.54864436), syn_SmallNet_pyr_pyr_AMPA_syn[14], 0.0, 0.0, 1.0))") # Connection 15: 16, seg 0 (0.726368) -> 2, seg 3 (0.788630) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[15] = new AMPA_syn(0.788630)") h("a_pyramidals_48[16].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.7263682), syn_SmallNet_pyr_pyr_AMPA_syn[15], 0.0, 0.0, 1.0))") # Connection 16: 17, seg 0 (0.667373) -> 2, seg 3 (0.177637) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[16] = new AMPA_syn(0.177637)") h("a_pyramidals_48[17].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.667373), syn_SmallNet_pyr_pyr_AMPA_syn[16], 0.0, 0.0, 1.0))") # Connection 17: 42, seg 0 (0.286544) -> 2, seg 3 (0.228245) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[17] = new AMPA_syn(0.228245)") h("a_pyramidals_48[42].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.28654385), syn_SmallNet_pyr_pyr_AMPA_syn[17], 0.0, 0.0, 1.0))") # Connection 18: 26, seg 0 (0.259292) -> 2, seg 3 (0.788661) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[18] = new AMPA_syn(0.788661)") h("a_pyramidals_48[26].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.25929207), syn_SmallNet_pyr_pyr_AMPA_syn[18], 0.0, 0.0, 1.0))") # Connection 19: 27, seg 0 (0.032074) -> 2, seg 3 (0.872795) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[19] = new AMPA_syn(0.872795)") h("a_pyramidals_48[27].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.032073736), syn_SmallNet_pyr_pyr_AMPA_syn[19], 0.0, 0.0, 1.0))") # Connection 20: 18, seg 0 (0.069563) -> 2, seg 3 (0.969954) h("a_pyramidals_48[2].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[20] = new AMPA_syn(0.969954)") h("a_pyramidals_48[18].soma a_pyramidals_48[2].synlist.append(new NetCon(&v(0.06956321), syn_SmallNet_pyr_pyr_AMPA_syn[20], 0.0, 0.0, 1.0))") # Connection 21: 19, seg 0 (0.680623) -> 3, seg 3 (0.202635) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[21] = new AMPA_syn(0.202635)") h("a_pyramidals_48[19].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.68062264), syn_SmallNet_pyr_pyr_AMPA_syn[21], 0.0, 0.0, 1.0))") # Connection 22: 18, seg 0 (0.194160) -> 3, seg 3 (0.359442) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[22] = new AMPA_syn(0.359442)") h("a_pyramidals_48[18].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.1941601), syn_SmallNet_pyr_pyr_AMPA_syn[22], 0.0, 0.0, 1.0))") # Connection 23: 47, seg 0 (0.945691) -> 3, seg 3 (0.609381) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[23] = new AMPA_syn(0.609381)") h("a_pyramidals_48[47].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.94569117), syn_SmallNet_pyr_pyr_AMPA_syn[23], 0.0, 0.0, 1.0))") # Connection 24: 43, seg 0 (0.122385) -> 3, seg 3 (0.575106) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[24] = new AMPA_syn(0.575106)") h("a_pyramidals_48[43].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.12238532), syn_SmallNet_pyr_pyr_AMPA_syn[24], 0.0, 0.0, 1.0))") # Connection 25: 32, seg 0 (0.461656) -> 3, seg 3 (0.979203) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[25] = new AMPA_syn(0.979203)") h("a_pyramidals_48[32].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.46165633), syn_SmallNet_pyr_pyr_AMPA_syn[25], 0.0, 0.0, 1.0))") # Connection 26: 10, seg 0 (0.144899) -> 3, seg 3 (0.720835) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[26] = new AMPA_syn(0.720835)") h("a_pyramidals_48[10].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.14489925), syn_SmallNet_pyr_pyr_AMPA_syn[26], 0.0, 0.0, 1.0))") # Connection 27: 8, seg 0 (0.281622) -> 3, seg 3 (0.749554) h("a_pyramidals_48[3].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[27] = new AMPA_syn(0.749554)") h("a_pyramidals_48[8].soma a_pyramidals_48[3].synlist.append(new NetCon(&v(0.28162223), syn_SmallNet_pyr_pyr_AMPA_syn[27], 0.0, 0.0, 1.0))") # Connection 28: 13, seg 0 (0.802859) -> 4, seg 3 (0.517594) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[28] = new AMPA_syn(0.517594)") h("a_pyramidals_48[13].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.80285877), syn_SmallNet_pyr_pyr_AMPA_syn[28], 0.0, 0.0, 1.0))") # Connection 29: 27, seg 0 (0.787129) -> 4, seg 3 (0.404962) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[29] = new AMPA_syn(0.404962)") h("a_pyramidals_48[27].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.78712946), syn_SmallNet_pyr_pyr_AMPA_syn[29], 0.0, 0.0, 1.0))") # Connection 30: 44, seg 0 (0.953782) -> 4, seg 3 (0.702730) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[30] = new AMPA_syn(0.702730)") h("a_pyramidals_48[44].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.95378166), syn_SmallNet_pyr_pyr_AMPA_syn[30], 0.0, 0.0, 1.0))") # Connection 31: 38, seg 0 (0.604219) -> 4, seg 3 (0.451400) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[31] = new AMPA_syn(0.451400)") h("a_pyramidals_48[38].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.6042189), syn_SmallNet_pyr_pyr_AMPA_syn[31], 0.0, 0.0, 1.0))") # Connection 32: 7, seg 0 (0.604963) -> 4, seg 3 (0.897619) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[32] = new AMPA_syn(0.897619)") h("a_pyramidals_48[7].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.60496265), syn_SmallNet_pyr_pyr_AMPA_syn[32], 0.0, 0.0, 1.0))") # Connection 33: 10, seg 0 (0.655968) -> 4, seg 3 (0.471823) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[33] = new AMPA_syn(0.471823)") h("a_pyramidals_48[10].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.6559678), syn_SmallNet_pyr_pyr_AMPA_syn[33], 0.0, 0.0, 1.0))") # Connection 34: 30, seg 0 (0.099235) -> 4, seg 3 (0.337417) h("a_pyramidals_48[4].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[34] = new AMPA_syn(0.337417)") h("a_pyramidals_48[30].soma a_pyramidals_48[4].synlist.append(new NetCon(&v(0.09923452), syn_SmallNet_pyr_pyr_AMPA_syn[34], 0.0, 0.0, 1.0))") # Connection 35: 14, seg 0 (0.063664) -> 5, seg 3 (0.289841) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[35] = new AMPA_syn(0.289841)") h("a_pyramidals_48[14].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.06366402), syn_SmallNet_pyr_pyr_AMPA_syn[35], 0.0, 0.0, 1.0))") # Connection 36: 46, seg 0 (0.860402) -> 5, seg 3 (0.077052) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[36] = new AMPA_syn(0.077052)") h("a_pyramidals_48[46].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.8604015), syn_SmallNet_pyr_pyr_AMPA_syn[36], 0.0, 0.0, 1.0))") # Connection 37: 17, seg 0 (0.039474) -> 5, seg 3 (0.909170) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[37] = new AMPA_syn(0.909170)") h("a_pyramidals_48[17].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.039473712), syn_SmallNet_pyr_pyr_AMPA_syn[37], 0.0, 0.0, 1.0))") # Connection 38: 16, seg 0 (0.320561) -> 5, seg 3 (0.541059) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[38] = new AMPA_syn(0.541059)") h("a_pyramidals_48[16].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.32056087), syn_SmallNet_pyr_pyr_AMPA_syn[38], 0.0, 0.0, 1.0))") # Connection 39: 18, seg 0 (0.397935) -> 5, seg 3 (0.427017) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[39] = new AMPA_syn(0.427017)") h("a_pyramidals_48[18].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.39793468), syn_SmallNet_pyr_pyr_AMPA_syn[39], 0.0, 0.0, 1.0))") # Connection 40: 43, seg 0 (0.901494) -> 5, seg 3 (0.139890) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[40] = new AMPA_syn(0.139890)") h("a_pyramidals_48[43].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.901494), syn_SmallNet_pyr_pyr_AMPA_syn[40], 0.0, 0.0, 1.0))") # Connection 41: 33, seg 0 (0.239671) -> 5, seg 3 (0.362978) h("a_pyramidals_48[5].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[41] = new AMPA_syn(0.362978)") h("a_pyramidals_48[33].soma a_pyramidals_48[5].synlist.append(new NetCon(&v(0.23967129), syn_SmallNet_pyr_pyr_AMPA_syn[41], 0.0, 0.0, 1.0))") # Connection 42: 39, seg 0 (0.155633) -> 6, seg 3 (0.596624) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[42] = new AMPA_syn(0.596624)") h("a_pyramidals_48[39].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.15563256), syn_SmallNet_pyr_pyr_AMPA_syn[42], 0.0, 0.0, 1.0))") # Connection 43: 31, seg 0 (0.968904) -> 6, seg 3 (0.003431) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[43] = new AMPA_syn(0.003431)") h("a_pyramidals_48[31].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.96890426), syn_SmallNet_pyr_pyr_AMPA_syn[43], 0.0, 0.0, 1.0))") # Connection 44: 22, seg 0 (0.219882) -> 6, seg 3 (0.645831) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[44] = new AMPA_syn(0.645831)") h("a_pyramidals_48[22].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.21988231), syn_SmallNet_pyr_pyr_AMPA_syn[44], 0.0, 0.0, 1.0))") # Connection 45: 19, seg 0 (0.727325) -> 6, seg 3 (0.279466) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[45] = new AMPA_syn(0.279466)") h("a_pyramidals_48[19].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.72732455), syn_SmallNet_pyr_pyr_AMPA_syn[45], 0.0, 0.0, 1.0))") # Connection 46: 12, seg 0 (0.696227) -> 6, seg 3 (0.686294) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[46] = new AMPA_syn(0.686294)") h("a_pyramidals_48[12].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.69622713), syn_SmallNet_pyr_pyr_AMPA_syn[46], 0.0, 0.0, 1.0))") # Connection 47: 10, seg 0 (0.944665) -> 6, seg 3 (0.643455) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[47] = new AMPA_syn(0.643455)") h("a_pyramidals_48[10].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.9446648), syn_SmallNet_pyr_pyr_AMPA_syn[47], 0.0, 0.0, 1.0))") # Connection 48: 34, seg 0 (0.228431) -> 6, seg 3 (0.029010) h("a_pyramidals_48[6].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[48] = new AMPA_syn(0.029010)") h("a_pyramidals_48[34].soma a_pyramidals_48[6].synlist.append(new NetCon(&v(0.22843117), syn_SmallNet_pyr_pyr_AMPA_syn[48], 0.0, 0.0, 1.0))") # Connection 49: 27, seg 0 (0.779811) -> 7, seg 3 (0.713100) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[49] = new AMPA_syn(0.713100)") h("a_pyramidals_48[27].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.77981144), syn_SmallNet_pyr_pyr_AMPA_syn[49], 0.0, 0.0, 1.0))") # Connection 50: 44, seg 0 (0.264525) -> 7, seg 3 (0.913014) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[50] = new AMPA_syn(0.913014)") h("a_pyramidals_48[44].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.2645247), syn_SmallNet_pyr_pyr_AMPA_syn[50], 0.0, 0.0, 1.0))") # Connection 51: 13, seg 0 (0.712923) -> 7, seg 3 (0.555560) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[51] = new AMPA_syn(0.555560)") h("a_pyramidals_48[13].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.7129232), syn_SmallNet_pyr_pyr_AMPA_syn[51], 0.0, 0.0, 1.0))") # Connection 52: 23, seg 0 (0.992714) -> 7, seg 3 (0.840353) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[52] = new AMPA_syn(0.840353)") h("a_pyramidals_48[23].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.9927141), syn_SmallNet_pyr_pyr_AMPA_syn[52], 0.0, 0.0, 1.0))") # Connection 53: 33, seg 0 (0.867424) -> 7, seg 3 (0.029054) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[53] = new AMPA_syn(0.029054)") h("a_pyramidals_48[33].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.8674238), syn_SmallNet_pyr_pyr_AMPA_syn[53], 0.0, 0.0, 1.0))") # Connection 54: 12, seg 0 (0.341969) -> 7, seg 3 (0.307221) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[54] = new AMPA_syn(0.307221)") h("a_pyramidals_48[12].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.34196883), syn_SmallNet_pyr_pyr_AMPA_syn[54], 0.0, 0.0, 1.0))") # Connection 55: 25, seg 0 (0.620140) -> 7, seg 3 (0.716537) h("a_pyramidals_48[7].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[55] = new AMPA_syn(0.716537)") h("a_pyramidals_48[25].soma a_pyramidals_48[7].synlist.append(new NetCon(&v(0.6201397), syn_SmallNet_pyr_pyr_AMPA_syn[55], 0.0, 0.0, 1.0))") # Connection 56: 21, seg 0 (0.301162) -> 8, seg 3 (0.202390) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[56] = new AMPA_syn(0.202390)") h("a_pyramidals_48[21].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.30116248), syn_SmallNet_pyr_pyr_AMPA_syn[56], 0.0, 0.0, 1.0))") # Connection 57: 31, seg 0 (0.593431) -> 8, seg 3 (0.764722) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[57] = new AMPA_syn(0.764722)") h("a_pyramidals_48[31].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.59343064), syn_SmallNet_pyr_pyr_AMPA_syn[57], 0.0, 0.0, 1.0))") # Connection 58: 45, seg 0 (0.901399) -> 8, seg 3 (0.462491) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[58] = new AMPA_syn(0.462491)") h("a_pyramidals_48[45].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.9013986), syn_SmallNet_pyr_pyr_AMPA_syn[58], 0.0, 0.0, 1.0))") # Connection 59: 34, seg 0 (0.041602) -> 8, seg 3 (0.788847) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[59] = new AMPA_syn(0.788847)") h("a_pyramidals_48[34].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.041602254), syn_SmallNet_pyr_pyr_AMPA_syn[59], 0.0, 0.0, 1.0))") # Connection 60: 23, seg 0 (0.735396) -> 8, seg 3 (0.290944) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[60] = new AMPA_syn(0.290944)") h("a_pyramidals_48[23].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.7353959), syn_SmallNet_pyr_pyr_AMPA_syn[60], 0.0, 0.0, 1.0))") # Connection 61: 37, seg 0 (0.878065) -> 8, seg 3 (0.486583) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[61] = new AMPA_syn(0.486583)") h("a_pyramidals_48[37].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.8780652), syn_SmallNet_pyr_pyr_AMPA_syn[61], 0.0, 0.0, 1.0))") # Connection 62: 41, seg 0 (0.258455) -> 8, seg 3 (0.211914) h("a_pyramidals_48[8].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[62] = new AMPA_syn(0.211914)") h("a_pyramidals_48[41].soma a_pyramidals_48[8].synlist.append(new NetCon(&v(0.2584551), syn_SmallNet_pyr_pyr_AMPA_syn[62], 0.0, 0.0, 1.0))") # Connection 63: 15, seg 0 (0.088060) -> 9, seg 3 (0.966129) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[63] = new AMPA_syn(0.966129)") h("a_pyramidals_48[15].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.0880599), syn_SmallNet_pyr_pyr_AMPA_syn[63], 0.0, 0.0, 1.0))") # Connection 64: 7, seg 0 (0.411607) -> 9, seg 3 (0.412017) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[64] = new AMPA_syn(0.412017)") h("a_pyramidals_48[7].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.41160697), syn_SmallNet_pyr_pyr_AMPA_syn[64], 0.0, 0.0, 1.0))") # Connection 65: 28, seg 0 (0.830993) -> 9, seg 3 (0.077901) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[65] = new AMPA_syn(0.077901)") h("a_pyramidals_48[28].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.8309927), syn_SmallNet_pyr_pyr_AMPA_syn[65], 0.0, 0.0, 1.0))") # Connection 66: 47, seg 0 (0.630264) -> 9, seg 3 (0.458238) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[66] = new AMPA_syn(0.458238)") h("a_pyramidals_48[47].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.63026434), syn_SmallNet_pyr_pyr_AMPA_syn[66], 0.0, 0.0, 1.0))") # Connection 67: 38, seg 0 (0.018954) -> 9, seg 3 (0.832208) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[67] = new AMPA_syn(0.832208)") h("a_pyramidals_48[38].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.018953562), syn_SmallNet_pyr_pyr_AMPA_syn[67], 0.0, 0.0, 1.0))") # Connection 68: 39, seg 0 (0.054486) -> 9, seg 3 (0.458807) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[68] = new AMPA_syn(0.458807)") h("a_pyramidals_48[39].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.054486394), syn_SmallNet_pyr_pyr_AMPA_syn[68], 0.0, 0.0, 1.0))") # Connection 69: 29, seg 0 (0.755347) -> 9, seg 3 (0.604897) h("a_pyramidals_48[9].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[69] = new AMPA_syn(0.604897)") h("a_pyramidals_48[29].soma a_pyramidals_48[9].synlist.append(new NetCon(&v(0.7553471), syn_SmallNet_pyr_pyr_AMPA_syn[69], 0.0, 0.0, 1.0))") # Connection 70: 33, seg 0 (0.283876) -> 10, seg 3 (0.829073) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[70] = new AMPA_syn(0.829073)") h("a_pyramidals_48[33].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.28387606), syn_SmallNet_pyr_pyr_AMPA_syn[70], 0.0, 0.0, 1.0))") # Connection 71: 44, seg 0 (0.835565) -> 10, seg 3 (0.558523) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[71] = new AMPA_syn(0.558523)") h("a_pyramidals_48[44].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.8355652), syn_SmallNet_pyr_pyr_AMPA_syn[71], 0.0, 0.0, 1.0))") # Connection 72: 42, seg 0 (0.332131) -> 10, seg 3 (0.559424) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[72] = new AMPA_syn(0.559424)") h("a_pyramidals_48[42].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.3321312), syn_SmallNet_pyr_pyr_AMPA_syn[72], 0.0, 0.0, 1.0))") # Connection 73: 17, seg 0 (0.896078) -> 10, seg 3 (0.730510) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[73] = new AMPA_syn(0.730510)") h("a_pyramidals_48[17].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.8960775), syn_SmallNet_pyr_pyr_AMPA_syn[73], 0.0, 0.0, 1.0))") # Connection 74: 7, seg 0 (0.141894) -> 10, seg 3 (0.237565) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[74] = new AMPA_syn(0.237565)") h("a_pyramidals_48[7].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.14189446), syn_SmallNet_pyr_pyr_AMPA_syn[74], 0.0, 0.0, 1.0))") # Connection 75: 21, seg 0 (0.254696) -> 10, seg 3 (0.121866) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[75] = new AMPA_syn(0.121866)") h("a_pyramidals_48[21].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.2546957), syn_SmallNet_pyr_pyr_AMPA_syn[75], 0.0, 0.0, 1.0))") # Connection 76: 39, seg 0 (0.495750) -> 10, seg 3 (0.866411) h("a_pyramidals_48[10].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[76] = new AMPA_syn(0.866411)") h("a_pyramidals_48[39].soma a_pyramidals_48[10].synlist.append(new NetCon(&v(0.49574977), syn_SmallNet_pyr_pyr_AMPA_syn[76], 0.0, 0.0, 1.0))") # Connection 77: 24, seg 0 (0.634343) -> 11, seg 3 (0.223135) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[77] = new AMPA_syn(0.223135)") h("a_pyramidals_48[24].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.6343433), syn_SmallNet_pyr_pyr_AMPA_syn[77], 0.0, 0.0, 1.0))") # Connection 78: 30, seg 0 (0.205772) -> 11, seg 3 (0.896021) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[78] = new AMPA_syn(0.896021)") h("a_pyramidals_48[30].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.20577228), syn_SmallNet_pyr_pyr_AMPA_syn[78], 0.0, 0.0, 1.0))") # Connection 79: 4, seg 0 (0.052956) -> 11, seg 3 (0.522092) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[79] = new AMPA_syn(0.522092)") h("a_pyramidals_48[4].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.052955866), syn_SmallNet_pyr_pyr_AMPA_syn[79], 0.0, 0.0, 1.0))") # Connection 80: 7, seg 0 (0.047059) -> 11, seg 3 (0.015000) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[80] = new AMPA_syn(0.015000)") h("a_pyramidals_48[7].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.047059357), syn_SmallNet_pyr_pyr_AMPA_syn[80], 0.0, 0.0, 1.0))") # Connection 81: 38, seg 0 (0.723724) -> 11, seg 3 (0.523893) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[81] = new AMPA_syn(0.523893)") h("a_pyramidals_48[38].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.72372425), syn_SmallNet_pyr_pyr_AMPA_syn[81], 0.0, 0.0, 1.0))") # Connection 82: 29, seg 0 (0.291625) -> 11, seg 3 (0.590419) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[82] = new AMPA_syn(0.590419)") h("a_pyramidals_48[29].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.29162478), syn_SmallNet_pyr_pyr_AMPA_syn[82], 0.0, 0.0, 1.0))") # Connection 83: 12, seg 0 (0.782290) -> 11, seg 3 (0.640835) h("a_pyramidals_48[11].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[83] = new AMPA_syn(0.640835)") h("a_pyramidals_48[12].soma a_pyramidals_48[11].synlist.append(new NetCon(&v(0.78229034), syn_SmallNet_pyr_pyr_AMPA_syn[83], 0.0, 0.0, 1.0))") # Connection 84: 3, seg 0 (0.134557) -> 12, seg 3 (0.230680) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[84] = new AMPA_syn(0.230680)") h("a_pyramidals_48[3].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.13455677), syn_SmallNet_pyr_pyr_AMPA_syn[84], 0.0, 0.0, 1.0))") # Connection 85: 13, seg 0 (0.169980) -> 12, seg 3 (0.348496) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[85] = new AMPA_syn(0.348496)") h("a_pyramidals_48[13].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.16997999), syn_SmallNet_pyr_pyr_AMPA_syn[85], 0.0, 0.0, 1.0))") # Connection 86: 24, seg 0 (0.495295) -> 12, seg 3 (0.718436) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[86] = new AMPA_syn(0.718436)") h("a_pyramidals_48[24].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.4952953), syn_SmallNet_pyr_pyr_AMPA_syn[86], 0.0, 0.0, 1.0))") # Connection 87: 5, seg 0 (0.088338) -> 12, seg 3 (0.761792) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[87] = new AMPA_syn(0.761792)") h("a_pyramidals_48[5].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.08833754), syn_SmallNet_pyr_pyr_AMPA_syn[87], 0.0, 0.0, 1.0))") # Connection 88: 4, seg 0 (0.973610) -> 12, seg 3 (0.056676) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[88] = new AMPA_syn(0.056676)") h("a_pyramidals_48[4].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.97361004), syn_SmallNet_pyr_pyr_AMPA_syn[88], 0.0, 0.0, 1.0))") # Connection 89: 46, seg 0 (0.900976) -> 12, seg 3 (0.244782) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[89] = new AMPA_syn(0.244782)") h("a_pyramidals_48[46].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.90097606), syn_SmallNet_pyr_pyr_AMPA_syn[89], 0.0, 0.0, 1.0))") # Connection 90: 33, seg 0 (0.694393) -> 12, seg 3 (0.540938) h("a_pyramidals_48[12].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[90] = new AMPA_syn(0.540938)") h("a_pyramidals_48[33].soma a_pyramidals_48[12].synlist.append(new NetCon(&v(0.69439274), syn_SmallNet_pyr_pyr_AMPA_syn[90], 0.0, 0.0, 1.0))") # Connection 91: 22, seg 0 (0.997574) -> 13, seg 3 (0.398308) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[91] = new AMPA_syn(0.398308)") h("a_pyramidals_48[22].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.9975737), syn_SmallNet_pyr_pyr_AMPA_syn[91], 0.0, 0.0, 1.0))") # Connection 92: 25, seg 0 (0.950044) -> 13, seg 3 (0.446576) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[92] = new AMPA_syn(0.446576)") h("a_pyramidals_48[25].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.95004386), syn_SmallNet_pyr_pyr_AMPA_syn[92], 0.0, 0.0, 1.0))") # Connection 93: 0, seg 0 (0.922665) -> 13, seg 3 (0.839789) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[93] = new AMPA_syn(0.839789)") h("a_pyramidals_48[0].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.92266464), syn_SmallNet_pyr_pyr_AMPA_syn[93], 0.0, 0.0, 1.0))") # Connection 94: 28, seg 0 (0.375572) -> 13, seg 3 (0.923855) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[94] = new AMPA_syn(0.923855)") h("a_pyramidals_48[28].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.3755722), syn_SmallNet_pyr_pyr_AMPA_syn[94], 0.0, 0.0, 1.0))") # Connection 95: 23, seg 0 (0.154839) -> 13, seg 3 (0.231490) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[95] = new AMPA_syn(0.231490)") h("a_pyramidals_48[23].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.1548391), syn_SmallNet_pyr_pyr_AMPA_syn[95], 0.0, 0.0, 1.0))") # Connection 96: 5, seg 0 (0.046844) -> 13, seg 3 (0.588852) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[96] = new AMPA_syn(0.588852)") h("a_pyramidals_48[5].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.046844125), syn_SmallNet_pyr_pyr_AMPA_syn[96], 0.0, 0.0, 1.0))") # Connection 97: 14, seg 0 (0.495157) -> 13, seg 3 (0.064138) h("a_pyramidals_48[13].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[97] = new AMPA_syn(0.064138)") h("a_pyramidals_48[14].soma a_pyramidals_48[13].synlist.append(new NetCon(&v(0.49515736), syn_SmallNet_pyr_pyr_AMPA_syn[97], 0.0, 0.0, 1.0))") # Connection 98: 43, seg 0 (0.603047) -> 14, seg 3 (0.476037) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[98] = new AMPA_syn(0.476037)") h("a_pyramidals_48[43].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.6030469), syn_SmallNet_pyr_pyr_AMPA_syn[98], 0.0, 0.0, 1.0))") # Connection 99: 46, seg 0 (0.168351) -> 14, seg 3 (0.306206) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[99] = new AMPA_syn(0.306206)") h("a_pyramidals_48[46].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.16835135), syn_SmallNet_pyr_pyr_AMPA_syn[99], 0.0, 0.0, 1.0))") # Connection 100: 2, seg 0 (0.780401) -> 14, seg 3 (0.850312) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[100] = new AMPA_syn(0.850312)") h("a_pyramidals_48[2].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.7804006), syn_SmallNet_pyr_pyr_AMPA_syn[100], 0.0, 0.0, 1.0))") # Connection 101: 19, seg 0 (0.173829) -> 14, seg 3 (0.224782) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[101] = new AMPA_syn(0.224782)") h("a_pyramidals_48[19].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.1738295), syn_SmallNet_pyr_pyr_AMPA_syn[101], 0.0, 0.0, 1.0))") # Connection 102: 20, seg 0 (0.285948) -> 14, seg 3 (0.706104) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[102] = new AMPA_syn(0.706104)") h("a_pyramidals_48[20].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.28594762), syn_SmallNet_pyr_pyr_AMPA_syn[102], 0.0, 0.0, 1.0))") # Connection 103: 32, seg 0 (0.373093) -> 14, seg 3 (0.886280) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[103] = new AMPA_syn(0.886280)") h("a_pyramidals_48[32].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.37309253), syn_SmallNet_pyr_pyr_AMPA_syn[103], 0.0, 0.0, 1.0))") # Connection 104: 30, seg 0 (0.549137) -> 14, seg 3 (0.750137) h("a_pyramidals_48[14].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[104] = new AMPA_syn(0.750137)") h("a_pyramidals_48[30].soma a_pyramidals_48[14].synlist.append(new NetCon(&v(0.5491369), syn_SmallNet_pyr_pyr_AMPA_syn[104], 0.0, 0.0, 1.0))") # Connection 105: 7, seg 0 (0.419113) -> 15, seg 3 (0.733941) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[105] = new AMPA_syn(0.733941)") h("a_pyramidals_48[7].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.4191125), syn_SmallNet_pyr_pyr_AMPA_syn[105], 0.0, 0.0, 1.0))") # Connection 106: 32, seg 0 (0.580951) -> 15, seg 3 (0.539659) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[106] = new AMPA_syn(0.539659)") h("a_pyramidals_48[32].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.58095133), syn_SmallNet_pyr_pyr_AMPA_syn[106], 0.0, 0.0, 1.0))") # Connection 107: 24, seg 0 (0.421360) -> 15, seg 3 (0.242393) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[107] = new AMPA_syn(0.242393)") h("a_pyramidals_48[24].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.42135978), syn_SmallNet_pyr_pyr_AMPA_syn[107], 0.0, 0.0, 1.0))") # Connection 108: 30, seg 0 (0.766717) -> 15, seg 3 (0.647923) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[108] = new AMPA_syn(0.647923)") h("a_pyramidals_48[30].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.766717), syn_SmallNet_pyr_pyr_AMPA_syn[108], 0.0, 0.0, 1.0))") # Connection 109: 46, seg 0 (0.048083) -> 15, seg 3 (0.032695) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[109] = new AMPA_syn(0.032695)") h("a_pyramidals_48[46].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.048083305), syn_SmallNet_pyr_pyr_AMPA_syn[109], 0.0, 0.0, 1.0))") # Connection 110: 47, seg 0 (0.096204) -> 15, seg 3 (0.092735) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[110] = new AMPA_syn(0.092735)") h("a_pyramidals_48[47].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.09620392), syn_SmallNet_pyr_pyr_AMPA_syn[110], 0.0, 0.0, 1.0))") # Connection 111: 20, seg 0 (0.850072) -> 15, seg 3 (0.610910) h("a_pyramidals_48[15].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[111] = new AMPA_syn(0.610910)") h("a_pyramidals_48[20].soma a_pyramidals_48[15].synlist.append(new NetCon(&v(0.85007226), syn_SmallNet_pyr_pyr_AMPA_syn[111], 0.0, 0.0, 1.0))") # Connection 112: 20, seg 0 (0.766116) -> 16, seg 3 (0.494481) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[112] = new AMPA_syn(0.494481)") h("a_pyramidals_48[20].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.7661156), syn_SmallNet_pyr_pyr_AMPA_syn[112], 0.0, 0.0, 1.0))") # Connection 113: 27, seg 0 (0.506142) -> 16, seg 3 (0.562041) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[113] = new AMPA_syn(0.562041)") h("a_pyramidals_48[27].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.5061425), syn_SmallNet_pyr_pyr_AMPA_syn[113], 0.0, 0.0, 1.0))") # Connection 114: 39, seg 0 (0.592511) -> 16, seg 3 (0.548074) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[114] = new AMPA_syn(0.548074)") h("a_pyramidals_48[39].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.5925108), syn_SmallNet_pyr_pyr_AMPA_syn[114], 0.0, 0.0, 1.0))") # Connection 115: 5, seg 0 (0.332487) -> 16, seg 3 (0.364947) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[115] = new AMPA_syn(0.364947)") h("a_pyramidals_48[5].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.3324874), syn_SmallNet_pyr_pyr_AMPA_syn[115], 0.0, 0.0, 1.0))") # Connection 116: 10, seg 0 (0.628529) -> 16, seg 3 (0.825434) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[116] = new AMPA_syn(0.825434)") h("a_pyramidals_48[10].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.6285295), syn_SmallNet_pyr_pyr_AMPA_syn[116], 0.0, 0.0, 1.0))") # Connection 117: 8, seg 0 (0.110573) -> 16, seg 3 (0.542861) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[117] = new AMPA_syn(0.542861)") h("a_pyramidals_48[8].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.110572696), syn_SmallNet_pyr_pyr_AMPA_syn[117], 0.0, 0.0, 1.0))") # Connection 118: 1, seg 0 (0.340489) -> 16, seg 3 (0.836299) h("a_pyramidals_48[16].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[118] = new AMPA_syn(0.836299)") h("a_pyramidals_48[1].soma a_pyramidals_48[16].synlist.append(new NetCon(&v(0.34048945), syn_SmallNet_pyr_pyr_AMPA_syn[118], 0.0, 0.0, 1.0))") # Connection 119: 41, seg 0 (0.262179) -> 17, seg 3 (0.428280) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[119] = new AMPA_syn(0.428280)") h("a_pyramidals_48[41].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.2621795), syn_SmallNet_pyr_pyr_AMPA_syn[119], 0.0, 0.0, 1.0))") # Connection 120: 35, seg 0 (0.879413) -> 17, seg 3 (0.178331) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[120] = new AMPA_syn(0.178331)") h("a_pyramidals_48[35].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.8794126), syn_SmallNet_pyr_pyr_AMPA_syn[120], 0.0, 0.0, 1.0))") # Connection 121: 13, seg 0 (0.420015) -> 17, seg 3 (0.025886) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[121] = new AMPA_syn(0.025886)") h("a_pyramidals_48[13].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.42001498), syn_SmallNet_pyr_pyr_AMPA_syn[121], 0.0, 0.0, 1.0))") # Connection 122: 36, seg 0 (0.527370) -> 17, seg 3 (0.776999) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[122] = new AMPA_syn(0.776999)") h("a_pyramidals_48[36].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.52736956), syn_SmallNet_pyr_pyr_AMPA_syn[122], 0.0, 0.0, 1.0))") # Connection 123: 24, seg 0 (0.441678) -> 17, seg 3 (0.228215) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[123] = new AMPA_syn(0.228215)") h("a_pyramidals_48[24].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.441678), syn_SmallNet_pyr_pyr_AMPA_syn[123], 0.0, 0.0, 1.0))") # Connection 124: 44, seg 0 (0.024095) -> 17, seg 3 (0.273597) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[124] = new AMPA_syn(0.273597)") h("a_pyramidals_48[44].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.024095297), syn_SmallNet_pyr_pyr_AMPA_syn[124], 0.0, 0.0, 1.0))") # Connection 125: 47, seg 0 (0.028007) -> 17, seg 3 (0.006848) h("a_pyramidals_48[17].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[125] = new AMPA_syn(0.006848)") h("a_pyramidals_48[47].soma a_pyramidals_48[17].synlist.append(new NetCon(&v(0.028006732), syn_SmallNet_pyr_pyr_AMPA_syn[125], 0.0, 0.0, 1.0))") # Connection 126: 38, seg 0 (0.299700) -> 18, seg 3 (0.372168) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[126] = new AMPA_syn(0.372168)") h("a_pyramidals_48[38].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.29969978), syn_SmallNet_pyr_pyr_AMPA_syn[126], 0.0, 0.0, 1.0))") # Connection 127: 33, seg 0 (0.116873) -> 18, seg 3 (0.287478) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[127] = new AMPA_syn(0.287478)") h("a_pyramidals_48[33].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.11687273), syn_SmallNet_pyr_pyr_AMPA_syn[127], 0.0, 0.0, 1.0))") # Connection 128: 27, seg 0 (0.254033) -> 18, seg 3 (0.840261) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[128] = new AMPA_syn(0.840261)") h("a_pyramidals_48[27].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.2540329), syn_SmallNet_pyr_pyr_AMPA_syn[128], 0.0, 0.0, 1.0))") # Connection 129: 24, seg 0 (0.618167) -> 18, seg 3 (0.049727) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[129] = new AMPA_syn(0.049727)") h("a_pyramidals_48[24].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.61816716), syn_SmallNet_pyr_pyr_AMPA_syn[129], 0.0, 0.0, 1.0))") # Connection 130: 19, seg 0 (0.127609) -> 18, seg 3 (0.794195) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[130] = new AMPA_syn(0.794195)") h("a_pyramidals_48[19].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.12760913), syn_SmallNet_pyr_pyr_AMPA_syn[130], 0.0, 0.0, 1.0))") # Connection 131: 43, seg 0 (0.374393) -> 18, seg 3 (0.000139) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[131] = new AMPA_syn(0.000139)") h("a_pyramidals_48[43].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.37439346), syn_SmallNet_pyr_pyr_AMPA_syn[131], 0.0, 0.0, 1.0))") # Connection 132: 6, seg 0 (0.639816) -> 18, seg 3 (0.268771) h("a_pyramidals_48[18].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[132] = new AMPA_syn(0.268771)") h("a_pyramidals_48[6].soma a_pyramidals_48[18].synlist.append(new NetCon(&v(0.63981646), syn_SmallNet_pyr_pyr_AMPA_syn[132], 0.0, 0.0, 1.0))") # Connection 133: 23, seg 0 (0.005174) -> 19, seg 3 (0.034635) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[133] = new AMPA_syn(0.034635)") h("a_pyramidals_48[23].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.005173862), syn_SmallNet_pyr_pyr_AMPA_syn[133], 0.0, 0.0, 1.0))") # Connection 134: 14, seg 0 (0.584894) -> 19, seg 3 (0.393950) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[134] = new AMPA_syn(0.393950)") h("a_pyramidals_48[14].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.5848943), syn_SmallNet_pyr_pyr_AMPA_syn[134], 0.0, 0.0, 1.0))") # Connection 135: 13, seg 0 (0.546665) -> 19, seg 3 (0.564942) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[135] = new AMPA_syn(0.564942)") h("a_pyramidals_48[13].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.54666543), syn_SmallNet_pyr_pyr_AMPA_syn[135], 0.0, 0.0, 1.0))") # Connection 136: 37, seg 0 (0.807682) -> 19, seg 3 (0.939441) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[136] = new AMPA_syn(0.939441)") h("a_pyramidals_48[37].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.8076822), syn_SmallNet_pyr_pyr_AMPA_syn[136], 0.0, 0.0, 1.0))") # Connection 137: 39, seg 0 (0.506475) -> 19, seg 3 (0.027469) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[137] = new AMPA_syn(0.027469)") h("a_pyramidals_48[39].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.50647545), syn_SmallNet_pyr_pyr_AMPA_syn[137], 0.0, 0.0, 1.0))") # Connection 138: 26, seg 0 (0.750321) -> 19, seg 3 (0.015701) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[138] = new AMPA_syn(0.015701)") h("a_pyramidals_48[26].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.7503214), syn_SmallNet_pyr_pyr_AMPA_syn[138], 0.0, 0.0, 1.0))") # Connection 139: 41, seg 0 (0.693417) -> 19, seg 3 (0.094285) h("a_pyramidals_48[19].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[139] = new AMPA_syn(0.094285)") h("a_pyramidals_48[41].soma a_pyramidals_48[19].synlist.append(new NetCon(&v(0.6934166), syn_SmallNet_pyr_pyr_AMPA_syn[139], 0.0, 0.0, 1.0))") # Connection 140: 3, seg 0 (0.639637) -> 20, seg 3 (0.843327) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[140] = new AMPA_syn(0.843327)") h("a_pyramidals_48[3].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.6396372), syn_SmallNet_pyr_pyr_AMPA_syn[140], 0.0, 0.0, 1.0))") # Connection 141: 1, seg 0 (0.361337) -> 20, seg 3 (0.209566) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[141] = new AMPA_syn(0.209566)") h("a_pyramidals_48[1].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.3613369), syn_SmallNet_pyr_pyr_AMPA_syn[141], 0.0, 0.0, 1.0))") # Connection 142: 22, seg 0 (0.533350) -> 20, seg 3 (0.864069) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[142] = new AMPA_syn(0.864069)") h("a_pyramidals_48[22].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.5333501), syn_SmallNet_pyr_pyr_AMPA_syn[142], 0.0, 0.0, 1.0))") # Connection 143: 11, seg 0 (0.686830) -> 20, seg 3 (0.038544) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[143] = new AMPA_syn(0.038544)") h("a_pyramidals_48[11].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.68682986), syn_SmallNet_pyr_pyr_AMPA_syn[143], 0.0, 0.0, 1.0))") # Connection 144: 10, seg 0 (0.991977) -> 20, seg 3 (0.365912) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[144] = new AMPA_syn(0.365912)") h("a_pyramidals_48[10].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.99197716), syn_SmallNet_pyr_pyr_AMPA_syn[144], 0.0, 0.0, 1.0))") # Connection 145: 41, seg 0 (0.735249) -> 20, seg 3 (0.067976) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[145] = new AMPA_syn(0.067976)") h("a_pyramidals_48[41].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.73524904), syn_SmallNet_pyr_pyr_AMPA_syn[145], 0.0, 0.0, 1.0))") # Connection 146: 19, seg 0 (0.988807) -> 20, seg 3 (0.969058) h("a_pyramidals_48[20].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[146] = new AMPA_syn(0.969058)") h("a_pyramidals_48[19].soma a_pyramidals_48[20].synlist.append(new NetCon(&v(0.98880696), syn_SmallNet_pyr_pyr_AMPA_syn[146], 0.0, 0.0, 1.0))") # Connection 147: 16, seg 0 (0.943719) -> 21, seg 3 (0.817841) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[147] = new AMPA_syn(0.817841)") h("a_pyramidals_48[16].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.9437193), syn_SmallNet_pyr_pyr_AMPA_syn[147], 0.0, 0.0, 1.0))") # Connection 148: 7, seg 0 (0.279563) -> 21, seg 3 (0.395980) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[148] = new AMPA_syn(0.395980)") h("a_pyramidals_48[7].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.27956283), syn_SmallNet_pyr_pyr_AMPA_syn[148], 0.0, 0.0, 1.0))") # Connection 149: 15, seg 0 (0.565799) -> 21, seg 3 (0.826177) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[149] = new AMPA_syn(0.826177)") h("a_pyramidals_48[15].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.565799), syn_SmallNet_pyr_pyr_AMPA_syn[149], 0.0, 0.0, 1.0))") # Connection 150: 4, seg 0 (0.532454) -> 21, seg 3 (0.962771) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[150] = new AMPA_syn(0.962771)") h("a_pyramidals_48[4].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.53245443), syn_SmallNet_pyr_pyr_AMPA_syn[150], 0.0, 0.0, 1.0))") # Connection 151: 45, seg 0 (0.576109) -> 21, seg 3 (0.016917) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[151] = new AMPA_syn(0.016917)") h("a_pyramidals_48[45].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.57610905), syn_SmallNet_pyr_pyr_AMPA_syn[151], 0.0, 0.0, 1.0))") # Connection 152: 28, seg 0 (0.797719) -> 21, seg 3 (0.034294) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[152] = new AMPA_syn(0.034294)") h("a_pyramidals_48[28].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.79771906), syn_SmallNet_pyr_pyr_AMPA_syn[152], 0.0, 0.0, 1.0))") # Connection 153: 24, seg 0 (0.971013) -> 21, seg 3 (0.419808) h("a_pyramidals_48[21].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[153] = new AMPA_syn(0.419808)") h("a_pyramidals_48[24].soma a_pyramidals_48[21].synlist.append(new NetCon(&v(0.97101265), syn_SmallNet_pyr_pyr_AMPA_syn[153], 0.0, 0.0, 1.0))") # Connection 154: 24, seg 0 (0.061791) -> 22, seg 3 (0.679744) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[154] = new AMPA_syn(0.679744)") h("a_pyramidals_48[24].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.06179136), syn_SmallNet_pyr_pyr_AMPA_syn[154], 0.0, 0.0, 1.0))") # Connection 155: 44, seg 0 (0.227068) -> 22, seg 3 (0.370027) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[155] = new AMPA_syn(0.370027)") h("a_pyramidals_48[44].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.22706777), syn_SmallNet_pyr_pyr_AMPA_syn[155], 0.0, 0.0, 1.0))") # Connection 156: 43, seg 0 (0.482887) -> 22, seg 3 (0.278206) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[156] = new AMPA_syn(0.278206)") h("a_pyramidals_48[43].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.48288703), syn_SmallNet_pyr_pyr_AMPA_syn[156], 0.0, 0.0, 1.0))") # Connection 157: 12, seg 0 (0.572246) -> 22, seg 3 (0.480232) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[157] = new AMPA_syn(0.480232)") h("a_pyramidals_48[12].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.57224643), syn_SmallNet_pyr_pyr_AMPA_syn[157], 0.0, 0.0, 1.0))") # Connection 158: 40, seg 0 (0.794152) -> 22, seg 3 (0.138994) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[158] = new AMPA_syn(0.138994)") h("a_pyramidals_48[40].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.7941523), syn_SmallNet_pyr_pyr_AMPA_syn[158], 0.0, 0.0, 1.0))") # Connection 159: 14, seg 0 (0.439893) -> 22, seg 3 (0.172102) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[159] = new AMPA_syn(0.172102)") h("a_pyramidals_48[14].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.439893), syn_SmallNet_pyr_pyr_AMPA_syn[159], 0.0, 0.0, 1.0))") # Connection 160: 4, seg 0 (0.943964) -> 22, seg 3 (0.178789) h("a_pyramidals_48[22].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[160] = new AMPA_syn(0.178789)") h("a_pyramidals_48[4].soma a_pyramidals_48[22].synlist.append(new NetCon(&v(0.9439641), syn_SmallNet_pyr_pyr_AMPA_syn[160], 0.0, 0.0, 1.0))") # Connection 161: 7, seg 0 (0.567095) -> 23, seg 3 (0.232057) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[161] = new AMPA_syn(0.232057)") h("a_pyramidals_48[7].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.56709516), syn_SmallNet_pyr_pyr_AMPA_syn[161], 0.0, 0.0, 1.0))") # Connection 162: 35, seg 0 (0.331388) -> 23, seg 3 (0.553664) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[162] = new AMPA_syn(0.553664)") h("a_pyramidals_48[35].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.33138764), syn_SmallNet_pyr_pyr_AMPA_syn[162], 0.0, 0.0, 1.0))") # Connection 163: 29, seg 0 (0.918829) -> 23, seg 3 (0.341060) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[163] = new AMPA_syn(0.341060)") h("a_pyramidals_48[29].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.9188287), syn_SmallNet_pyr_pyr_AMPA_syn[163], 0.0, 0.0, 1.0))") # Connection 164: 34, seg 0 (0.207205) -> 23, seg 3 (0.823411) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[164] = new AMPA_syn(0.823411)") h("a_pyramidals_48[34].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.2072047), syn_SmallNet_pyr_pyr_AMPA_syn[164], 0.0, 0.0, 1.0))") # Connection 165: 17, seg 0 (0.862720) -> 23, seg 3 (0.689691) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[165] = new AMPA_syn(0.689691)") h("a_pyramidals_48[17].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.86271983), syn_SmallNet_pyr_pyr_AMPA_syn[165], 0.0, 0.0, 1.0))") # Connection 166: 9, seg 0 (0.767096) -> 23, seg 3 (0.082629) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[166] = new AMPA_syn(0.082629)") h("a_pyramidals_48[9].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.76709586), syn_SmallNet_pyr_pyr_AMPA_syn[166], 0.0, 0.0, 1.0))") # Connection 167: 43, seg 0 (0.658410) -> 23, seg 3 (0.318795) h("a_pyramidals_48[23].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[167] = new AMPA_syn(0.318795)") h("a_pyramidals_48[43].soma a_pyramidals_48[23].synlist.append(new NetCon(&v(0.65841), syn_SmallNet_pyr_pyr_AMPA_syn[167], 0.0, 0.0, 1.0))") # Connection 168: 35, seg 0 (0.231721) -> 24, seg 3 (0.018219) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[168] = new AMPA_syn(0.018219)") h("a_pyramidals_48[35].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.23172057), syn_SmallNet_pyr_pyr_AMPA_syn[168], 0.0, 0.0, 1.0))") # Connection 169: 6, seg 0 (0.259277) -> 24, seg 3 (0.577913) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[169] = new AMPA_syn(0.577913)") h("a_pyramidals_48[6].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.25927687), syn_SmallNet_pyr_pyr_AMPA_syn[169], 0.0, 0.0, 1.0))") # Connection 170: 12, seg 0 (0.664452) -> 24, seg 3 (0.818109) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[170] = new AMPA_syn(0.818109)") h("a_pyramidals_48[12].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.6644516), syn_SmallNet_pyr_pyr_AMPA_syn[170], 0.0, 0.0, 1.0))") # Connection 171: 13, seg 0 (0.346160) -> 24, seg 3 (0.202842) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[171] = new AMPA_syn(0.202842)") h("a_pyramidals_48[13].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.3461601), syn_SmallNet_pyr_pyr_AMPA_syn[171], 0.0, 0.0, 1.0))") # Connection 172: 18, seg 0 (0.204987) -> 24, seg 3 (0.422400) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[172] = new AMPA_syn(0.422400)") h("a_pyramidals_48[18].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.20498711), syn_SmallNet_pyr_pyr_AMPA_syn[172], 0.0, 0.0, 1.0))") # Connection 173: 42, seg 0 (0.696759) -> 24, seg 3 (0.983625) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[173] = new AMPA_syn(0.983625)") h("a_pyramidals_48[42].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.6967586), syn_SmallNet_pyr_pyr_AMPA_syn[173], 0.0, 0.0, 1.0))") # Connection 174: 31, seg 0 (0.373990) -> 24, seg 3 (0.782592) h("a_pyramidals_48[24].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[174] = new AMPA_syn(0.782592)") h("a_pyramidals_48[31].soma a_pyramidals_48[24].synlist.append(new NetCon(&v(0.37398994), syn_SmallNet_pyr_pyr_AMPA_syn[174], 0.0, 0.0, 1.0))") # Connection 175: 42, seg 0 (0.269061) -> 25, seg 3 (0.292623) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[175] = new AMPA_syn(0.292623)") h("a_pyramidals_48[42].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.2690606), syn_SmallNet_pyr_pyr_AMPA_syn[175], 0.0, 0.0, 1.0))") # Connection 176: 20, seg 0 (0.133336) -> 25, seg 3 (0.524121) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[176] = new AMPA_syn(0.524121)") h("a_pyramidals_48[20].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.13333648), syn_SmallNet_pyr_pyr_AMPA_syn[176], 0.0, 0.0, 1.0))") # Connection 177: 35, seg 0 (0.701243) -> 25, seg 3 (0.598637) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[177] = new AMPA_syn(0.598637)") h("a_pyramidals_48[35].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.7012425), syn_SmallNet_pyr_pyr_AMPA_syn[177], 0.0, 0.0, 1.0))") # Connection 178: 11, seg 0 (0.761766) -> 25, seg 3 (0.680388) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[178] = new AMPA_syn(0.680388)") h("a_pyramidals_48[11].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.7617659), syn_SmallNet_pyr_pyr_AMPA_syn[178], 0.0, 0.0, 1.0))") # Connection 179: 32, seg 0 (0.058970) -> 25, seg 3 (0.790828) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[179] = new AMPA_syn(0.790828)") h("a_pyramidals_48[32].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.058970213), syn_SmallNet_pyr_pyr_AMPA_syn[179], 0.0, 0.0, 1.0))") # Connection 180: 38, seg 0 (0.373468) -> 25, seg 3 (0.528930) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[180] = new AMPA_syn(0.528930)") h("a_pyramidals_48[38].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.37346816), syn_SmallNet_pyr_pyr_AMPA_syn[180], 0.0, 0.0, 1.0))") # Connection 181: 13, seg 0 (0.491392) -> 25, seg 3 (0.897832) h("a_pyramidals_48[25].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[181] = new AMPA_syn(0.897832)") h("a_pyramidals_48[13].soma a_pyramidals_48[25].synlist.append(new NetCon(&v(0.49139154), syn_SmallNet_pyr_pyr_AMPA_syn[181], 0.0, 0.0, 1.0))") # Connection 182: 38, seg 0 (0.039781) -> 26, seg 3 (0.970161) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[182] = new AMPA_syn(0.970161)") h("a_pyramidals_48[38].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.03978145), syn_SmallNet_pyr_pyr_AMPA_syn[182], 0.0, 0.0, 1.0))") # Connection 183: 40, seg 0 (0.073178) -> 26, seg 3 (0.559737) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[183] = new AMPA_syn(0.559737)") h("a_pyramidals_48[40].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.073177814), syn_SmallNet_pyr_pyr_AMPA_syn[183], 0.0, 0.0, 1.0))") # Connection 184: 16, seg 0 (0.865501) -> 26, seg 3 (0.750894) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[184] = new AMPA_syn(0.750894)") h("a_pyramidals_48[16].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.8655008), syn_SmallNet_pyr_pyr_AMPA_syn[184], 0.0, 0.0, 1.0))") # Connection 185: 4, seg 0 (0.954299) -> 26, seg 3 (0.694432) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[185] = new AMPA_syn(0.694432)") h("a_pyramidals_48[4].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.9542993), syn_SmallNet_pyr_pyr_AMPA_syn[185], 0.0, 0.0, 1.0))") # Connection 186: 22, seg 0 (0.248708) -> 26, seg 3 (0.631652) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[186] = new AMPA_syn(0.631652)") h("a_pyramidals_48[22].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.24870765), syn_SmallNet_pyr_pyr_AMPA_syn[186], 0.0, 0.0, 1.0))") # Connection 187: 43, seg 0 (0.492081) -> 26, seg 3 (0.940473) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[187] = new AMPA_syn(0.940473)") h("a_pyramidals_48[43].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.49208057), syn_SmallNet_pyr_pyr_AMPA_syn[187], 0.0, 0.0, 1.0))") # Connection 188: 30, seg 0 (0.832894) -> 26, seg 3 (0.077230) h("a_pyramidals_48[26].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[188] = new AMPA_syn(0.077230)") h("a_pyramidals_48[30].soma a_pyramidals_48[26].synlist.append(new NetCon(&v(0.83289415), syn_SmallNet_pyr_pyr_AMPA_syn[188], 0.0, 0.0, 1.0))") # Connection 189: 4, seg 0 (0.404911) -> 27, seg 3 (0.142955) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[189] = new AMPA_syn(0.142955)") h("a_pyramidals_48[4].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.40491122), syn_SmallNet_pyr_pyr_AMPA_syn[189], 0.0, 0.0, 1.0))") # Connection 190: 39, seg 0 (0.403887) -> 27, seg 3 (0.650573) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[190] = new AMPA_syn(0.650573)") h("a_pyramidals_48[39].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.40388662), syn_SmallNet_pyr_pyr_AMPA_syn[190], 0.0, 0.0, 1.0))") # Connection 191: 43, seg 0 (0.908325) -> 27, seg 3 (0.236300) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[191] = new AMPA_syn(0.236300)") h("a_pyramidals_48[43].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.9083249), syn_SmallNet_pyr_pyr_AMPA_syn[191], 0.0, 0.0, 1.0))") # Connection 192: 26, seg 0 (0.950119) -> 27, seg 3 (0.279205) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[192] = new AMPA_syn(0.279205)") h("a_pyramidals_48[26].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.95011866), syn_SmallNet_pyr_pyr_AMPA_syn[192], 0.0, 0.0, 1.0))") # Connection 193: 1, seg 0 (0.980064) -> 27, seg 3 (0.247887) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[193] = new AMPA_syn(0.247887)") h("a_pyramidals_48[1].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.98006374), syn_SmallNet_pyr_pyr_AMPA_syn[193], 0.0, 0.0, 1.0))") # Connection 194: 23, seg 0 (0.651464) -> 27, seg 3 (0.985644) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[194] = new AMPA_syn(0.985644)") h("a_pyramidals_48[23].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.65146375), syn_SmallNet_pyr_pyr_AMPA_syn[194], 0.0, 0.0, 1.0))") # Connection 195: 3, seg 0 (0.674962) -> 27, seg 3 (0.877470) h("a_pyramidals_48[27].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[195] = new AMPA_syn(0.877470)") h("a_pyramidals_48[3].soma a_pyramidals_48[27].synlist.append(new NetCon(&v(0.67496234), syn_SmallNet_pyr_pyr_AMPA_syn[195], 0.0, 0.0, 1.0))") # Connection 196: 13, seg 0 (0.263200) -> 28, seg 3 (0.613082) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[196] = new AMPA_syn(0.613082)") h("a_pyramidals_48[13].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.26319993), syn_SmallNet_pyr_pyr_AMPA_syn[196], 0.0, 0.0, 1.0))") # Connection 197: 43, seg 0 (0.111618) -> 28, seg 3 (0.488109) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[197] = new AMPA_syn(0.488109)") h("a_pyramidals_48[43].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.11161822), syn_SmallNet_pyr_pyr_AMPA_syn[197], 0.0, 0.0, 1.0))") # Connection 198: 21, seg 0 (0.430827) -> 28, seg 3 (0.646760) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[198] = new AMPA_syn(0.646760)") h("a_pyramidals_48[21].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.43082654), syn_SmallNet_pyr_pyr_AMPA_syn[198], 0.0, 0.0, 1.0))") # Connection 199: 24, seg 0 (0.838099) -> 28, seg 3 (0.149640) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[199] = new AMPA_syn(0.149640)") h("a_pyramidals_48[24].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.838099), syn_SmallNet_pyr_pyr_AMPA_syn[199], 0.0, 0.0, 1.0))") # Connection 200: 17, seg 0 (0.013143) -> 28, seg 3 (0.032417) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[200] = new AMPA_syn(0.032417)") h("a_pyramidals_48[17].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.013142705), syn_SmallNet_pyr_pyr_AMPA_syn[200], 0.0, 0.0, 1.0))") # Connection 201: 31, seg 0 (0.848963) -> 28, seg 3 (0.365775) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[201] = new AMPA_syn(0.365775)") h("a_pyramidals_48[31].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.8489629), syn_SmallNet_pyr_pyr_AMPA_syn[201], 0.0, 0.0, 1.0))") # Connection 202: 29, seg 0 (0.069541) -> 28, seg 3 (0.703640) h("a_pyramidals_48[28].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[202] = new AMPA_syn(0.703640)") h("a_pyramidals_48[29].soma a_pyramidals_48[28].synlist.append(new NetCon(&v(0.0695405), syn_SmallNet_pyr_pyr_AMPA_syn[202], 0.0, 0.0, 1.0))") # Connection 203: 38, seg 0 (0.790958) -> 29, seg 3 (0.274451) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[203] = new AMPA_syn(0.274451)") h("a_pyramidals_48[38].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.7909575), syn_SmallNet_pyr_pyr_AMPA_syn[203], 0.0, 0.0, 1.0))") # Connection 204: 30, seg 0 (0.402247) -> 29, seg 3 (0.215297) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[204] = new AMPA_syn(0.215297)") h("a_pyramidals_48[30].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.40224653), syn_SmallNet_pyr_pyr_AMPA_syn[204], 0.0, 0.0, 1.0))") # Connection 205: 39, seg 0 (0.453711) -> 29, seg 3 (0.397554) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[205] = new AMPA_syn(0.397554)") h("a_pyramidals_48[39].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.45371085), syn_SmallNet_pyr_pyr_AMPA_syn[205], 0.0, 0.0, 1.0))") # Connection 206: 26, seg 0 (0.971242) -> 29, seg 3 (0.941880) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[206] = new AMPA_syn(0.941880)") h("a_pyramidals_48[26].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.97124165), syn_SmallNet_pyr_pyr_AMPA_syn[206], 0.0, 0.0, 1.0))") # Connection 207: 6, seg 0 (0.139531) -> 29, seg 3 (0.800108) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[207] = new AMPA_syn(0.800108)") h("a_pyramidals_48[6].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.13953072), syn_SmallNet_pyr_pyr_AMPA_syn[207], 0.0, 0.0, 1.0))") # Connection 208: 14, seg 0 (0.579869) -> 29, seg 3 (0.666334) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[208] = new AMPA_syn(0.666334)") h("a_pyramidals_48[14].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.5798692), syn_SmallNet_pyr_pyr_AMPA_syn[208], 0.0, 0.0, 1.0))") # Connection 209: 17, seg 0 (0.961284) -> 29, seg 3 (0.567462) h("a_pyramidals_48[29].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[209] = new AMPA_syn(0.567462)") h("a_pyramidals_48[17].soma a_pyramidals_48[29].synlist.append(new NetCon(&v(0.9612844), syn_SmallNet_pyr_pyr_AMPA_syn[209], 0.0, 0.0, 1.0))") # Connection 210: 14, seg 0 (0.244952) -> 30, seg 3 (0.541739) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[210] = new AMPA_syn(0.541739)") h("a_pyramidals_48[14].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.24495178), syn_SmallNet_pyr_pyr_AMPA_syn[210], 0.0, 0.0, 1.0))") # Connection 211: 7, seg 0 (0.669462) -> 30, seg 3 (0.978518) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[211] = new AMPA_syn(0.978518)") h("a_pyramidals_48[7].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.6694618), syn_SmallNet_pyr_pyr_AMPA_syn[211], 0.0, 0.0, 1.0))") # Connection 212: 39, seg 0 (0.072560) -> 30, seg 3 (0.055781) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[212] = new AMPA_syn(0.055781)") h("a_pyramidals_48[39].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.07256037), syn_SmallNet_pyr_pyr_AMPA_syn[212], 0.0, 0.0, 1.0))") # Connection 213: 37, seg 0 (0.404306) -> 30, seg 3 (0.869321) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[213] = new AMPA_syn(0.869321)") h("a_pyramidals_48[37].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.40430617), syn_SmallNet_pyr_pyr_AMPA_syn[213], 0.0, 0.0, 1.0))") # Connection 214: 24, seg 0 (0.045978) -> 30, seg 3 (0.191369) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[214] = new AMPA_syn(0.191369)") h("a_pyramidals_48[24].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.04597789), syn_SmallNet_pyr_pyr_AMPA_syn[214], 0.0, 0.0, 1.0))") # Connection 215: 11, seg 0 (0.900033) -> 30, seg 3 (0.609100) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[215] = new AMPA_syn(0.609100)") h("a_pyramidals_48[11].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.9000326), syn_SmallNet_pyr_pyr_AMPA_syn[215], 0.0, 0.0, 1.0))") # Connection 216: 29, seg 0 (0.540385) -> 30, seg 3 (0.170134) h("a_pyramidals_48[30].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[216] = new AMPA_syn(0.170134)") h("a_pyramidals_48[29].soma a_pyramidals_48[30].synlist.append(new NetCon(&v(0.5403847), syn_SmallNet_pyr_pyr_AMPA_syn[216], 0.0, 0.0, 1.0))") # Connection 217: 11, seg 0 (0.700435) -> 31, seg 3 (0.487738) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[217] = new AMPA_syn(0.487738)") h("a_pyramidals_48[11].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.7004354), syn_SmallNet_pyr_pyr_AMPA_syn[217], 0.0, 0.0, 1.0))") # Connection 218: 10, seg 0 (0.045016) -> 31, seg 3 (0.163752) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[218] = new AMPA_syn(0.163752)") h("a_pyramidals_48[10].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.04501629), syn_SmallNet_pyr_pyr_AMPA_syn[218], 0.0, 0.0, 1.0))") # Connection 219: 42, seg 0 (0.380136) -> 31, seg 3 (0.139048) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[219] = new AMPA_syn(0.139048)") h("a_pyramidals_48[42].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.3801359), syn_SmallNet_pyr_pyr_AMPA_syn[219], 0.0, 0.0, 1.0))") # Connection 220: 40, seg 0 (0.817613) -> 31, seg 3 (0.720032) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[220] = new AMPA_syn(0.720032)") h("a_pyramidals_48[40].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.8176125), syn_SmallNet_pyr_pyr_AMPA_syn[220], 0.0, 0.0, 1.0))") # Connection 221: 3, seg 0 (0.907134) -> 31, seg 3 (0.662754) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[221] = new AMPA_syn(0.662754)") h("a_pyramidals_48[3].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.907134), syn_SmallNet_pyr_pyr_AMPA_syn[221], 0.0, 0.0, 1.0))") # Connection 222: 13, seg 0 (0.196629) -> 31, seg 3 (0.982022) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[222] = new AMPA_syn(0.982022)") h("a_pyramidals_48[13].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.1966291), syn_SmallNet_pyr_pyr_AMPA_syn[222], 0.0, 0.0, 1.0))") # Connection 223: 12, seg 0 (0.302484) -> 31, seg 3 (0.688111) h("a_pyramidals_48[31].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[223] = new AMPA_syn(0.688111)") h("a_pyramidals_48[12].soma a_pyramidals_48[31].synlist.append(new NetCon(&v(0.30248433), syn_SmallNet_pyr_pyr_AMPA_syn[223], 0.0, 0.0, 1.0))") # Connection 224: 18, seg 0 (0.890663) -> 32, seg 3 (0.216336) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[224] = new AMPA_syn(0.216336)") h("a_pyramidals_48[18].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.89066255), syn_SmallNet_pyr_pyr_AMPA_syn[224], 0.0, 0.0, 1.0))") # Connection 225: 40, seg 0 (0.354035) -> 32, seg 3 (0.674653) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[225] = new AMPA_syn(0.674653)") h("a_pyramidals_48[40].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.35403496), syn_SmallNet_pyr_pyr_AMPA_syn[225], 0.0, 0.0, 1.0))") # Connection 226: 10, seg 0 (0.279386) -> 32, seg 3 (0.112374) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[226] = new AMPA_syn(0.112374)") h("a_pyramidals_48[10].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.2793864), syn_SmallNet_pyr_pyr_AMPA_syn[226], 0.0, 0.0, 1.0))") # Connection 227: 7, seg 0 (0.050321) -> 32, seg 3 (0.152723) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[227] = new AMPA_syn(0.152723)") h("a_pyramidals_48[7].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.050320625), syn_SmallNet_pyr_pyr_AMPA_syn[227], 0.0, 0.0, 1.0))") # Connection 228: 13, seg 0 (0.209898) -> 32, seg 3 (0.431169) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[228] = new AMPA_syn(0.431169)") h("a_pyramidals_48[13].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.20989805), syn_SmallNet_pyr_pyr_AMPA_syn[228], 0.0, 0.0, 1.0))") # Connection 229: 37, seg 0 (0.030302) -> 32, seg 3 (0.391791) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[229] = new AMPA_syn(0.391791)") h("a_pyramidals_48[37].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.030301988), syn_SmallNet_pyr_pyr_AMPA_syn[229], 0.0, 0.0, 1.0))") # Connection 230: 31, seg 0 (0.513005) -> 32, seg 3 (0.928034) h("a_pyramidals_48[32].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[230] = new AMPA_syn(0.928034)") h("a_pyramidals_48[31].soma a_pyramidals_48[32].synlist.append(new NetCon(&v(0.5130046), syn_SmallNet_pyr_pyr_AMPA_syn[230], 0.0, 0.0, 1.0))") # Connection 231: 11, seg 0 (0.938186) -> 33, seg 3 (0.601694) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[231] = new AMPA_syn(0.601694)") h("a_pyramidals_48[11].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.9381859), syn_SmallNet_pyr_pyr_AMPA_syn[231], 0.0, 0.0, 1.0))") # Connection 232: 43, seg 0 (0.062753) -> 33, seg 3 (0.089192) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[232] = new AMPA_syn(0.089192)") h("a_pyramidals_48[43].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.06275344), syn_SmallNet_pyr_pyr_AMPA_syn[232], 0.0, 0.0, 1.0))") # Connection 233: 45, seg 0 (0.294484) -> 33, seg 3 (0.205006) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[233] = new AMPA_syn(0.205006)") h("a_pyramidals_48[45].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.29448402), syn_SmallNet_pyr_pyr_AMPA_syn[233], 0.0, 0.0, 1.0))") # Connection 234: 36, seg 0 (0.503660) -> 33, seg 3 (0.307808) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[234] = new AMPA_syn(0.307808)") h("a_pyramidals_48[36].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.50366026), syn_SmallNet_pyr_pyr_AMPA_syn[234], 0.0, 0.0, 1.0))") # Connection 235: 46, seg 0 (0.764981) -> 33, seg 3 (0.322033) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[235] = new AMPA_syn(0.322033)") h("a_pyramidals_48[46].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.7649809), syn_SmallNet_pyr_pyr_AMPA_syn[235], 0.0, 0.0, 1.0))") # Connection 236: 10, seg 0 (0.221482) -> 33, seg 3 (0.853899) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[236] = new AMPA_syn(0.853899)") h("a_pyramidals_48[10].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.22148204), syn_SmallNet_pyr_pyr_AMPA_syn[236], 0.0, 0.0, 1.0))") # Connection 237: 17, seg 0 (0.166235) -> 33, seg 3 (0.669860) h("a_pyramidals_48[33].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[237] = new AMPA_syn(0.669860)") h("a_pyramidals_48[17].soma a_pyramidals_48[33].synlist.append(new NetCon(&v(0.16623509), syn_SmallNet_pyr_pyr_AMPA_syn[237], 0.0, 0.0, 1.0))") # Connection 238: 40, seg 0 (0.961216) -> 34, seg 3 (0.339603) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[238] = new AMPA_syn(0.339603)") h("a_pyramidals_48[40].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.961216), syn_SmallNet_pyr_pyr_AMPA_syn[238], 0.0, 0.0, 1.0))") # Connection 239: 2, seg 0 (0.512511) -> 34, seg 3 (0.523748) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[239] = new AMPA_syn(0.523748)") h("a_pyramidals_48[2].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.512511), syn_SmallNet_pyr_pyr_AMPA_syn[239], 0.0, 0.0, 1.0))") # Connection 240: 8, seg 0 (0.527692) -> 34, seg 3 (0.796003) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[240] = new AMPA_syn(0.796003)") h("a_pyramidals_48[8].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.5276918), syn_SmallNet_pyr_pyr_AMPA_syn[240], 0.0, 0.0, 1.0))") # Connection 241: 36, seg 0 (0.229382) -> 34, seg 3 (0.223236) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[241] = new AMPA_syn(0.223236)") h("a_pyramidals_48[36].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.22938234), syn_SmallNet_pyr_pyr_AMPA_syn[241], 0.0, 0.0, 1.0))") # Connection 242: 25, seg 0 (0.590731) -> 34, seg 3 (0.460510) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[242] = new AMPA_syn(0.460510)") h("a_pyramidals_48[25].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.59073055), syn_SmallNet_pyr_pyr_AMPA_syn[242], 0.0, 0.0, 1.0))") # Connection 243: 22, seg 0 (0.543165) -> 34, seg 3 (0.268678) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[243] = new AMPA_syn(0.268678)") h("a_pyramidals_48[22].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.54316497), syn_SmallNet_pyr_pyr_AMPA_syn[243], 0.0, 0.0, 1.0))") # Connection 244: 11, seg 0 (0.751767) -> 34, seg 3 (0.498142) h("a_pyramidals_48[34].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[244] = new AMPA_syn(0.498142)") h("a_pyramidals_48[11].soma a_pyramidals_48[34].synlist.append(new NetCon(&v(0.7517668), syn_SmallNet_pyr_pyr_AMPA_syn[244], 0.0, 0.0, 1.0))") # Connection 245: 39, seg 0 (0.870277) -> 35, seg 3 (0.555743) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[245] = new AMPA_syn(0.555743)") h("a_pyramidals_48[39].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.87027705), syn_SmallNet_pyr_pyr_AMPA_syn[245], 0.0, 0.0, 1.0))") # Connection 246: 32, seg 0 (0.278351) -> 35, seg 3 (0.097604) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[246] = new AMPA_syn(0.097604)") h("a_pyramidals_48[32].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.27835137), syn_SmallNet_pyr_pyr_AMPA_syn[246], 0.0, 0.0, 1.0))") # Connection 247: 6, seg 0 (0.878090) -> 35, seg 3 (0.148807) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[247] = new AMPA_syn(0.148807)") h("a_pyramidals_48[6].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.87809044), syn_SmallNet_pyr_pyr_AMPA_syn[247], 0.0, 0.0, 1.0))") # Connection 248: 17, seg 0 (0.204062) -> 35, seg 3 (0.102960) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[248] = new AMPA_syn(0.102960)") h("a_pyramidals_48[17].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.20406228), syn_SmallNet_pyr_pyr_AMPA_syn[248], 0.0, 0.0, 1.0))") # Connection 249: 23, seg 0 (0.974759) -> 35, seg 3 (0.694610) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[249] = new AMPA_syn(0.694610)") h("a_pyramidals_48[23].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.9747593), syn_SmallNet_pyr_pyr_AMPA_syn[249], 0.0, 0.0, 1.0))") # Connection 250: 46, seg 0 (0.212438) -> 35, seg 3 (0.230402) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[250] = new AMPA_syn(0.230402)") h("a_pyramidals_48[46].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.21243829), syn_SmallNet_pyr_pyr_AMPA_syn[250], 0.0, 0.0, 1.0))") # Connection 251: 18, seg 0 (0.881779) -> 35, seg 3 (0.424217) h("a_pyramidals_48[35].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[251] = new AMPA_syn(0.424217)") h("a_pyramidals_48[18].soma a_pyramidals_48[35].synlist.append(new NetCon(&v(0.88177925), syn_SmallNet_pyr_pyr_AMPA_syn[251], 0.0, 0.0, 1.0))") # Connection 252: 20, seg 0 (0.261422) -> 36, seg 3 (0.999961) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[252] = new AMPA_syn(0.999961)") h("a_pyramidals_48[20].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.26142228), syn_SmallNet_pyr_pyr_AMPA_syn[252], 0.0, 0.0, 1.0))") # Connection 253: 15, seg 0 (0.229657) -> 36, seg 3 (0.437683) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[253] = new AMPA_syn(0.437683)") h("a_pyramidals_48[15].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.22965747), syn_SmallNet_pyr_pyr_AMPA_syn[253], 0.0, 0.0, 1.0))") # Connection 254: 8, seg 0 (0.203884) -> 36, seg 3 (0.634228) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[254] = new AMPA_syn(0.634228)") h("a_pyramidals_48[8].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.20388448), syn_SmallNet_pyr_pyr_AMPA_syn[254], 0.0, 0.0, 1.0))") # Connection 255: 25, seg 0 (0.647456) -> 36, seg 3 (0.996146) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[255] = new AMPA_syn(0.996146)") h("a_pyramidals_48[25].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.647456), syn_SmallNet_pyr_pyr_AMPA_syn[255], 0.0, 0.0, 1.0))") # Connection 256: 10, seg 0 (0.149346) -> 36, seg 3 (0.919122) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[256] = new AMPA_syn(0.919122)") h("a_pyramidals_48[10].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.14934552), syn_SmallNet_pyr_pyr_AMPA_syn[256], 0.0, 0.0, 1.0))") # Connection 257: 22, seg 0 (0.669426) -> 36, seg 3 (0.122766) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[257] = new AMPA_syn(0.122766)") h("a_pyramidals_48[22].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.66942585), syn_SmallNet_pyr_pyr_AMPA_syn[257], 0.0, 0.0, 1.0))") # Connection 258: 28, seg 0 (0.034479) -> 36, seg 3 (0.203555) h("a_pyramidals_48[36].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[258] = new AMPA_syn(0.203555)") h("a_pyramidals_48[28].soma a_pyramidals_48[36].synlist.append(new NetCon(&v(0.03447944), syn_SmallNet_pyr_pyr_AMPA_syn[258], 0.0, 0.0, 1.0))") # Connection 259: 40, seg 0 (0.349760) -> 37, seg 3 (0.760138) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[259] = new AMPA_syn(0.760138)") h("a_pyramidals_48[40].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.34975964), syn_SmallNet_pyr_pyr_AMPA_syn[259], 0.0, 0.0, 1.0))") # Connection 260: 9, seg 0 (0.972972) -> 37, seg 3 (0.823652) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[260] = new AMPA_syn(0.823652)") h("a_pyramidals_48[9].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.97297245), syn_SmallNet_pyr_pyr_AMPA_syn[260], 0.0, 0.0, 1.0))") # Connection 261: 42, seg 0 (0.741131) -> 37, seg 3 (0.908212) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[261] = new AMPA_syn(0.908212)") h("a_pyramidals_48[42].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.7411314), syn_SmallNet_pyr_pyr_AMPA_syn[261], 0.0, 0.0, 1.0))") # Connection 262: 10, seg 0 (0.316445) -> 37, seg 3 (0.462251) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[262] = new AMPA_syn(0.462251)") h("a_pyramidals_48[10].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.3164447), syn_SmallNet_pyr_pyr_AMPA_syn[262], 0.0, 0.0, 1.0))") # Connection 263: 21, seg 0 (0.862785) -> 37, seg 3 (0.657007) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[263] = new AMPA_syn(0.657007)") h("a_pyramidals_48[21].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.8627846), syn_SmallNet_pyr_pyr_AMPA_syn[263], 0.0, 0.0, 1.0))") # Connection 264: 20, seg 0 (0.201530) -> 37, seg 3 (0.376135) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[264] = new AMPA_syn(0.376135)") h("a_pyramidals_48[20].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.20153022), syn_SmallNet_pyr_pyr_AMPA_syn[264], 0.0, 0.0, 1.0))") # Connection 265: 35, seg 0 (0.600572) -> 37, seg 3 (0.543892) h("a_pyramidals_48[37].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[265] = new AMPA_syn(0.543892)") h("a_pyramidals_48[35].soma a_pyramidals_48[37].synlist.append(new NetCon(&v(0.600572), syn_SmallNet_pyr_pyr_AMPA_syn[265], 0.0, 0.0, 1.0))") # Connection 266: 24, seg 0 (0.494342) -> 38, seg 3 (0.719091) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[266] = new AMPA_syn(0.719091)") h("a_pyramidals_48[24].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.4943418), syn_SmallNet_pyr_pyr_AMPA_syn[266], 0.0, 0.0, 1.0))") # Connection 267: 17, seg 0 (0.107951) -> 38, seg 3 (0.954620) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[267] = new AMPA_syn(0.954620)") h("a_pyramidals_48[17].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.10795069), syn_SmallNet_pyr_pyr_AMPA_syn[267], 0.0, 0.0, 1.0))") # Connection 268: 14, seg 0 (0.389825) -> 38, seg 3 (0.797818) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[268] = new AMPA_syn(0.797818)") h("a_pyramidals_48[14].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.3898251), syn_SmallNet_pyr_pyr_AMPA_syn[268], 0.0, 0.0, 1.0))") # Connection 269: 25, seg 0 (0.775042) -> 38, seg 3 (0.711860) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[269] = new AMPA_syn(0.711860)") h("a_pyramidals_48[25].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.77504164), syn_SmallNet_pyr_pyr_AMPA_syn[269], 0.0, 0.0, 1.0))") # Connection 270: 28, seg 0 (0.965975) -> 38, seg 3 (0.015361) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[270] = new AMPA_syn(0.015361)") h("a_pyramidals_48[28].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.96597534), syn_SmallNet_pyr_pyr_AMPA_syn[270], 0.0, 0.0, 1.0))") # Connection 271: 22, seg 0 (0.382660) -> 38, seg 3 (0.210442) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[271] = new AMPA_syn(0.210442)") h("a_pyramidals_48[22].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.38266015), syn_SmallNet_pyr_pyr_AMPA_syn[271], 0.0, 0.0, 1.0))") # Connection 272: 36, seg 0 (0.887970) -> 38, seg 3 (0.395174) h("a_pyramidals_48[38].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[272] = new AMPA_syn(0.395174)") h("a_pyramidals_48[36].soma a_pyramidals_48[38].synlist.append(new NetCon(&v(0.88796985), syn_SmallNet_pyr_pyr_AMPA_syn[272], 0.0, 0.0, 1.0))") # Connection 273: 12, seg 0 (0.833270) -> 39, seg 3 (0.119896) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[273] = new AMPA_syn(0.119896)") h("a_pyramidals_48[12].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.8332701), syn_SmallNet_pyr_pyr_AMPA_syn[273], 0.0, 0.0, 1.0))") # Connection 274: 38, seg 0 (0.114645) -> 39, seg 3 (0.366464) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[274] = new AMPA_syn(0.366464)") h("a_pyramidals_48[38].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.114644706), syn_SmallNet_pyr_pyr_AMPA_syn[274], 0.0, 0.0, 1.0))") # Connection 275: 46, seg 0 (0.780063) -> 39, seg 3 (0.429806) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[275] = new AMPA_syn(0.429806)") h("a_pyramidals_48[46].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.78006303), syn_SmallNet_pyr_pyr_AMPA_syn[275], 0.0, 0.0, 1.0))") # Connection 276: 14, seg 0 (0.083813) -> 39, seg 3 (0.227663) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[276] = new AMPA_syn(0.227663)") h("a_pyramidals_48[14].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.083812654), syn_SmallNet_pyr_pyr_AMPA_syn[276], 0.0, 0.0, 1.0))") # Connection 277: 28, seg 0 (0.717299) -> 39, seg 3 (0.157208) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[277] = new AMPA_syn(0.157208)") h("a_pyramidals_48[28].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.71729916), syn_SmallNet_pyr_pyr_AMPA_syn[277], 0.0, 0.0, 1.0))") # Connection 278: 40, seg 0 (0.757864) -> 39, seg 3 (0.906234) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[278] = new AMPA_syn(0.906234)") h("a_pyramidals_48[40].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.7578642), syn_SmallNet_pyr_pyr_AMPA_syn[278], 0.0, 0.0, 1.0))") # Connection 279: 30, seg 0 (0.204641) -> 39, seg 3 (0.440216) h("a_pyramidals_48[39].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[279] = new AMPA_syn(0.440216)") h("a_pyramidals_48[30].soma a_pyramidals_48[39].synlist.append(new NetCon(&v(0.20464128), syn_SmallNet_pyr_pyr_AMPA_syn[279], 0.0, 0.0, 1.0))") # Connection 280: 28, seg 0 (0.081111) -> 40, seg 3 (0.775727) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[280] = new AMPA_syn(0.775727)") h("a_pyramidals_48[28].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.081110775), syn_SmallNet_pyr_pyr_AMPA_syn[280], 0.0, 0.0, 1.0))") # Connection 281: 7, seg 0 (0.518965) -> 40, seg 3 (0.765490) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[281] = new AMPA_syn(0.765490)") h("a_pyramidals_48[7].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.5189645), syn_SmallNet_pyr_pyr_AMPA_syn[281], 0.0, 0.0, 1.0))") # Connection 282: 32, seg 0 (0.789266) -> 40, seg 3 (0.800599) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[282] = new AMPA_syn(0.800599)") h("a_pyramidals_48[32].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.7892655), syn_SmallNet_pyr_pyr_AMPA_syn[282], 0.0, 0.0, 1.0))") # Connection 283: 9, seg 0 (0.676462) -> 40, seg 3 (0.238307) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[283] = new AMPA_syn(0.238307)") h("a_pyramidals_48[9].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.6764624), syn_SmallNet_pyr_pyr_AMPA_syn[283], 0.0, 0.0, 1.0))") # Connection 284: 45, seg 0 (0.030378) -> 40, seg 3 (0.111218) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[284] = new AMPA_syn(0.111218)") h("a_pyramidals_48[45].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.030377924), syn_SmallNet_pyr_pyr_AMPA_syn[284], 0.0, 0.0, 1.0))") # Connection 285: 27, seg 0 (0.293170) -> 40, seg 3 (0.465996) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[285] = new AMPA_syn(0.465996)") h("a_pyramidals_48[27].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.29316998), syn_SmallNet_pyr_pyr_AMPA_syn[285], 0.0, 0.0, 1.0))") # Connection 286: 35, seg 0 (0.064700) -> 40, seg 3 (0.282371) h("a_pyramidals_48[40].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[286] = new AMPA_syn(0.282371)") h("a_pyramidals_48[35].soma a_pyramidals_48[40].synlist.append(new NetCon(&v(0.06469989), syn_SmallNet_pyr_pyr_AMPA_syn[286], 0.0, 0.0, 1.0))") # Connection 287: 23, seg 0 (0.736067) -> 41, seg 3 (0.180953) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[287] = new AMPA_syn(0.180953)") h("a_pyramidals_48[23].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.73606724), syn_SmallNet_pyr_pyr_AMPA_syn[287], 0.0, 0.0, 1.0))") # Connection 288: 34, seg 0 (0.388290) -> 41, seg 3 (0.766422) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[288] = new AMPA_syn(0.766422)") h("a_pyramidals_48[34].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.38828963), syn_SmallNet_pyr_pyr_AMPA_syn[288], 0.0, 0.0, 1.0))") # Connection 289: 22, seg 0 (0.620667) -> 41, seg 3 (0.408596) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[289] = new AMPA_syn(0.408596)") h("a_pyramidals_48[22].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.6206667), syn_SmallNet_pyr_pyr_AMPA_syn[289], 0.0, 0.0, 1.0))") # Connection 290: 44, seg 0 (0.088273) -> 41, seg 3 (0.381545) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[290] = new AMPA_syn(0.381545)") h("a_pyramidals_48[44].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.08827275), syn_SmallNet_pyr_pyr_AMPA_syn[290], 0.0, 0.0, 1.0))") # Connection 291: 10, seg 0 (0.207460) -> 41, seg 3 (0.321389) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[291] = new AMPA_syn(0.321389)") h("a_pyramidals_48[10].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.20745963), syn_SmallNet_pyr_pyr_AMPA_syn[291], 0.0, 0.0, 1.0))") # Connection 292: 25, seg 0 (0.257323) -> 41, seg 3 (0.333205) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[292] = new AMPA_syn(0.333205)") h("a_pyramidals_48[25].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.2573229), syn_SmallNet_pyr_pyr_AMPA_syn[292], 0.0, 0.0, 1.0))") # Connection 293: 3, seg 0 (0.522486) -> 41, seg 3 (0.375205) h("a_pyramidals_48[41].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[293] = new AMPA_syn(0.375205)") h("a_pyramidals_48[3].soma a_pyramidals_48[41].synlist.append(new NetCon(&v(0.5224856), syn_SmallNet_pyr_pyr_AMPA_syn[293], 0.0, 0.0, 1.0))") # Connection 294: 12, seg 0 (0.074331) -> 42, seg 3 (0.964804) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[294] = new AMPA_syn(0.964804)") h("a_pyramidals_48[12].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.07433081), syn_SmallNet_pyr_pyr_AMPA_syn[294], 0.0, 0.0, 1.0))") # Connection 295: 43, seg 0 (0.409678) -> 42, seg 3 (0.025816) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[295] = new AMPA_syn(0.025816)") h("a_pyramidals_48[43].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.40967822), syn_SmallNet_pyr_pyr_AMPA_syn[295], 0.0, 0.0, 1.0))") # Connection 296: 38, seg 0 (0.918514) -> 42, seg 3 (0.673011) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[296] = new AMPA_syn(0.673011)") h("a_pyramidals_48[38].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.9185139), syn_SmallNet_pyr_pyr_AMPA_syn[296], 0.0, 0.0, 1.0))") # Connection 297: 1, seg 0 (0.725064) -> 42, seg 3 (0.641952) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[297] = new AMPA_syn(0.641952)") h("a_pyramidals_48[1].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.7250636), syn_SmallNet_pyr_pyr_AMPA_syn[297], 0.0, 0.0, 1.0))") # Connection 298: 25, seg 0 (0.101940) -> 42, seg 3 (0.197133) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[298] = new AMPA_syn(0.197133)") h("a_pyramidals_48[25].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.101940095), syn_SmallNet_pyr_pyr_AMPA_syn[298], 0.0, 0.0, 1.0))") # Connection 299: 3, seg 0 (0.979809) -> 42, seg 3 (0.726419) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[299] = new AMPA_syn(0.726419)") h("a_pyramidals_48[3].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.9798087), syn_SmallNet_pyr_pyr_AMPA_syn[299], 0.0, 0.0, 1.0))") # Connection 300: 16, seg 0 (0.538739) -> 42, seg 3 (0.690729) h("a_pyramidals_48[42].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[300] = new AMPA_syn(0.690729)") h("a_pyramidals_48[16].soma a_pyramidals_48[42].synlist.append(new NetCon(&v(0.5387391), syn_SmallNet_pyr_pyr_AMPA_syn[300], 0.0, 0.0, 1.0))") # Connection 301: 42, seg 0 (0.893024) -> 43, seg 3 (0.513875) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[301] = new AMPA_syn(0.513875)") h("a_pyramidals_48[42].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.8930242), syn_SmallNet_pyr_pyr_AMPA_syn[301], 0.0, 0.0, 1.0))") # Connection 302: 39, seg 0 (0.052388) -> 43, seg 3 (0.023943) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[302] = new AMPA_syn(0.023943)") h("a_pyramidals_48[39].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.052388012), syn_SmallNet_pyr_pyr_AMPA_syn[302], 0.0, 0.0, 1.0))") # Connection 303: 46, seg 0 (0.451864) -> 43, seg 3 (0.763226) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[303] = new AMPA_syn(0.763226)") h("a_pyramidals_48[46].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.4518637), syn_SmallNet_pyr_pyr_AMPA_syn[303], 0.0, 0.0, 1.0))") # Connection 304: 26, seg 0 (0.105777) -> 43, seg 3 (0.614405) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[304] = new AMPA_syn(0.614405)") h("a_pyramidals_48[26].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.105777085), syn_SmallNet_pyr_pyr_AMPA_syn[304], 0.0, 0.0, 1.0))") # Connection 305: 27, seg 0 (0.250319) -> 43, seg 3 (0.228736) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[305] = new AMPA_syn(0.228736)") h("a_pyramidals_48[27].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.25031853), syn_SmallNet_pyr_pyr_AMPA_syn[305], 0.0, 0.0, 1.0))") # Connection 306: 36, seg 0 (0.967411) -> 43, seg 3 (0.209049) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[306] = new AMPA_syn(0.209049)") h("a_pyramidals_48[36].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.9674108), syn_SmallNet_pyr_pyr_AMPA_syn[306], 0.0, 0.0, 1.0))") # Connection 307: 13, seg 0 (0.829278) -> 43, seg 3 (0.935202) h("a_pyramidals_48[43].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[307] = new AMPA_syn(0.935202)") h("a_pyramidals_48[13].soma a_pyramidals_48[43].synlist.append(new NetCon(&v(0.8292777), syn_SmallNet_pyr_pyr_AMPA_syn[307], 0.0, 0.0, 1.0))") # Connection 308: 13, seg 0 (0.410459) -> 44, seg 3 (0.711032) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[308] = new AMPA_syn(0.711032)") h("a_pyramidals_48[13].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.41045874), syn_SmallNet_pyr_pyr_AMPA_syn[308], 0.0, 0.0, 1.0))") # Connection 309: 12, seg 0 (0.852950) -> 44, seg 3 (0.957588) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[309] = new AMPA_syn(0.957588)") h("a_pyramidals_48[12].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.8529497), syn_SmallNet_pyr_pyr_AMPA_syn[309], 0.0, 0.0, 1.0))") # Connection 310: 20, seg 0 (0.100789) -> 44, seg 3 (0.815850) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[310] = new AMPA_syn(0.815850)") h("a_pyramidals_48[20].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.10078859), syn_SmallNet_pyr_pyr_AMPA_syn[310], 0.0, 0.0, 1.0))") # Connection 311: 26, seg 0 (0.496137) -> 44, seg 3 (0.250493) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[311] = new AMPA_syn(0.250493)") h("a_pyramidals_48[26].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.4961372), syn_SmallNet_pyr_pyr_AMPA_syn[311], 0.0, 0.0, 1.0))") # Connection 312: 3, seg 0 (0.960596) -> 44, seg 3 (0.757158) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[312] = new AMPA_syn(0.757158)") h("a_pyramidals_48[3].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.96059614), syn_SmallNet_pyr_pyr_AMPA_syn[312], 0.0, 0.0, 1.0))") # Connection 313: 36, seg 0 (0.208383) -> 44, seg 3 (0.367918) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[313] = new AMPA_syn(0.367918)") h("a_pyramidals_48[36].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.20838344), syn_SmallNet_pyr_pyr_AMPA_syn[313], 0.0, 0.0, 1.0))") # Connection 314: 42, seg 0 (0.527080) -> 44, seg 3 (0.174498) h("a_pyramidals_48[44].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[314] = new AMPA_syn(0.174498)") h("a_pyramidals_48[42].soma a_pyramidals_48[44].synlist.append(new NetCon(&v(0.52707994), syn_SmallNet_pyr_pyr_AMPA_syn[314], 0.0, 0.0, 1.0))") # Connection 315: 34, seg 0 (0.896081) -> 45, seg 3 (0.503327) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[315] = new AMPA_syn(0.503327)") h("a_pyramidals_48[34].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.89608115), syn_SmallNet_pyr_pyr_AMPA_syn[315], 0.0, 0.0, 1.0))") # Connection 316: 2, seg 0 (0.533412) -> 45, seg 3 (0.036741) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[316] = new AMPA_syn(0.036741)") h("a_pyramidals_48[2].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.5334115), syn_SmallNet_pyr_pyr_AMPA_syn[316], 0.0, 0.0, 1.0))") # Connection 317: 39, seg 0 (0.325415) -> 45, seg 3 (0.020383) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[317] = new AMPA_syn(0.020383)") h("a_pyramidals_48[39].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.32541507), syn_SmallNet_pyr_pyr_AMPA_syn[317], 0.0, 0.0, 1.0))") # Connection 318: 47, seg 0 (0.235414) -> 45, seg 3 (0.429490) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[318] = new AMPA_syn(0.429490)") h("a_pyramidals_48[47].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.23541397), syn_SmallNet_pyr_pyr_AMPA_syn[318], 0.0, 0.0, 1.0))") # Connection 319: 15, seg 0 (0.638735) -> 45, seg 3 (0.012862) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[319] = new AMPA_syn(0.012862)") h("a_pyramidals_48[15].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.6387353), syn_SmallNet_pyr_pyr_AMPA_syn[319], 0.0, 0.0, 1.0))") # Connection 320: 37, seg 0 (0.356641) -> 45, seg 3 (0.308324) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[320] = new AMPA_syn(0.308324)") h("a_pyramidals_48[37].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.3566411), syn_SmallNet_pyr_pyr_AMPA_syn[320], 0.0, 0.0, 1.0))") # Connection 321: 24, seg 0 (0.654963) -> 45, seg 3 (0.761174) h("a_pyramidals_48[45].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[321] = new AMPA_syn(0.761174)") h("a_pyramidals_48[24].soma a_pyramidals_48[45].synlist.append(new NetCon(&v(0.65496254), syn_SmallNet_pyr_pyr_AMPA_syn[321], 0.0, 0.0, 1.0))") # Connection 322: 33, seg 0 (0.099334) -> 46, seg 3 (0.443513) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[322] = new AMPA_syn(0.443513)") h("a_pyramidals_48[33].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.0993343), syn_SmallNet_pyr_pyr_AMPA_syn[322], 0.0, 0.0, 1.0))") # Connection 323: 24, seg 0 (0.959308) -> 46, seg 3 (0.881139) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[323] = new AMPA_syn(0.881139)") h("a_pyramidals_48[24].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.9593079), syn_SmallNet_pyr_pyr_AMPA_syn[323], 0.0, 0.0, 1.0))") # Connection 324: 1, seg 0 (0.064126) -> 46, seg 3 (0.241207) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[324] = new AMPA_syn(0.241207)") h("a_pyramidals_48[1].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.06412631), syn_SmallNet_pyr_pyr_AMPA_syn[324], 0.0, 0.0, 1.0))") # Connection 325: 35, seg 0 (0.966777) -> 46, seg 3 (0.349851) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[325] = new AMPA_syn(0.349851)") h("a_pyramidals_48[35].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.9667772), syn_SmallNet_pyr_pyr_AMPA_syn[325], 0.0, 0.0, 1.0))") # Connection 326: 21, seg 0 (0.959948) -> 46, seg 3 (0.074073) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[326] = new AMPA_syn(0.074073)") h("a_pyramidals_48[21].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.9599483), syn_SmallNet_pyr_pyr_AMPA_syn[326], 0.0, 0.0, 1.0))") # Connection 327: 12, seg 0 (0.994413) -> 46, seg 3 (0.063003) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[327] = new AMPA_syn(0.063003)") h("a_pyramidals_48[12].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.9944133), syn_SmallNet_pyr_pyr_AMPA_syn[327], 0.0, 0.0, 1.0))") # Connection 328: 41, seg 0 (0.061625) -> 46, seg 3 (0.662453) h("a_pyramidals_48[46].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[328] = new AMPA_syn(0.662453)") h("a_pyramidals_48[41].soma a_pyramidals_48[46].synlist.append(new NetCon(&v(0.061624944), syn_SmallNet_pyr_pyr_AMPA_syn[328], 0.0, 0.0, 1.0))") # Connection 329: 11, seg 0 (0.876222) -> 47, seg 3 (0.879103) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[329] = new AMPA_syn(0.879103)") h("a_pyramidals_48[11].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.8762219), syn_SmallNet_pyr_pyr_AMPA_syn[329], 0.0, 0.0, 1.0))") # Connection 330: 16, seg 0 (0.817098) -> 47, seg 3 (0.675312) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[330] = new AMPA_syn(0.675312)") h("a_pyramidals_48[16].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.81709784), syn_SmallNet_pyr_pyr_AMPA_syn[330], 0.0, 0.0, 1.0))") # Connection 331: 12, seg 0 (0.454416) -> 47, seg 3 (0.127329) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[331] = new AMPA_syn(0.127329)") h("a_pyramidals_48[12].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.45441592), syn_SmallNet_pyr_pyr_AMPA_syn[331], 0.0, 0.0, 1.0))") # Connection 332: 4, seg 0 (0.295756) -> 47, seg 3 (0.751381) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[332] = new AMPA_syn(0.751381)") h("a_pyramidals_48[4].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.2957561), syn_SmallNet_pyr_pyr_AMPA_syn[332], 0.0, 0.0, 1.0))") # Connection 333: 15, seg 0 (0.246154) -> 47, seg 3 (0.022809) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[333] = new AMPA_syn(0.022809)") h("a_pyramidals_48[15].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.24615383), syn_SmallNet_pyr_pyr_AMPA_syn[333], 0.0, 0.0, 1.0))") # Connection 334: 17, seg 0 (0.508128) -> 47, seg 3 (0.296264) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[334] = new AMPA_syn(0.296264)") h("a_pyramidals_48[17].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.50812805), syn_SmallNet_pyr_pyr_AMPA_syn[334], 0.0, 0.0, 1.0))") # Connection 335: 2, seg 0 (0.060588) -> 47, seg 3 (0.859754) h("a_pyramidals_48[47].apical3 syn_SmallNet_pyr_pyr_AMPA_syn[335] = new AMPA_syn(0.859754)") h("a_pyramidals_48[2].soma a_pyramidals_48[47].synlist.append(new NetCon(&v(0.060587943), syn_SmallNet_pyr_pyr_AMPA_syn[335], 0.0, 0.0, 1.0))") # Adding projection: SmallNet_pyr_bask, from pyramidals_48 to baskets_12 with synapse AMPA_syn_inh, 252 connection(s) h("objectvar syn_SmallNet_pyr_bask_AMPA_syn_inh[252]") # Connection 0: 1, seg 0 (0.897339) -> 0, seg 1 (0.094951) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[0] = new AMPA_syn_inh(0.094951)") h("a_pyramidals_48[1].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.8973388), syn_SmallNet_pyr_bask_AMPA_syn_inh[0], 0.0, 0.0, 1.0))") # Connection 1: 45, seg 0 (0.928107) -> 0, seg 1 (0.577109) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[1] = new AMPA_syn_inh(0.577109)") h("a_pyramidals_48[45].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.928107), syn_SmallNet_pyr_bask_AMPA_syn_inh[1], 0.0, 0.0, 1.0))") # Connection 2: 1, seg 0 (0.365366) -> 0, seg 1 (0.815178) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[2] = new AMPA_syn_inh(0.815178)") h("a_pyramidals_48[1].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.36536598), syn_SmallNet_pyr_bask_AMPA_syn_inh[2], 0.0, 0.0, 1.0))") # Connection 3: 42, seg 0 (0.099126) -> 0, seg 1 (0.171880) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[3] = new AMPA_syn_inh(0.171880)") h("a_pyramidals_48[42].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.09912586), syn_SmallNet_pyr_bask_AMPA_syn_inh[3], 0.0, 0.0, 1.0))") # Connection 4: 30, seg 0 (0.940359) -> 0, seg 1 (0.937216) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[4] = new AMPA_syn_inh(0.937216)") h("a_pyramidals_48[30].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.94035894), syn_SmallNet_pyr_bask_AMPA_syn_inh[4], 0.0, 0.0, 1.0))") # Connection 5: 2, seg 0 (0.281860) -> 0, seg 1 (0.045011) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[5] = new AMPA_syn_inh(0.045011)") h("a_pyramidals_48[2].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.28186047), syn_SmallNet_pyr_bask_AMPA_syn_inh[5], 0.0, 0.0, 1.0))") # Connection 6: 29, seg 0 (0.213377) -> 0, seg 1 (0.679890) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[6] = new AMPA_syn_inh(0.679890)") h("a_pyramidals_48[29].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.21337652), syn_SmallNet_pyr_bask_AMPA_syn_inh[6], 0.0, 0.0, 1.0))") # Connection 7: 21, seg 0 (0.568312) -> 0, seg 1 (0.895162) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[7] = new AMPA_syn_inh(0.895162)") h("a_pyramidals_48[21].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.5683119), syn_SmallNet_pyr_bask_AMPA_syn_inh[7], 0.0, 0.0, 1.0))") # Connection 8: 38, seg 0 (0.767636) -> 0, seg 1 (0.582744) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[8] = new AMPA_syn_inh(0.582744)") h("a_pyramidals_48[38].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.7676357), syn_SmallNet_pyr_bask_AMPA_syn_inh[8], 0.0, 0.0, 1.0))") # Connection 9: 43, seg 0 (0.647529) -> 0, seg 1 (0.869461) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[9] = new AMPA_syn_inh(0.869461)") h("a_pyramidals_48[43].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.6475289), syn_SmallNet_pyr_bask_AMPA_syn_inh[9], 0.0, 0.0, 1.0))") # Connection 10: 20, seg 0 (0.232644) -> 0, seg 1 (0.630194) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[10] = new AMPA_syn_inh(0.630194)") h("a_pyramidals_48[20].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.2326436), syn_SmallNet_pyr_bask_AMPA_syn_inh[10], 0.0, 0.0, 1.0))") # Connection 11: 26, seg 0 (0.259588) -> 0, seg 1 (0.538412) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[11] = new AMPA_syn_inh(0.538412)") h("a_pyramidals_48[26].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.259588), syn_SmallNet_pyr_bask_AMPA_syn_inh[11], 0.0, 0.0, 1.0))") # Connection 12: 18, seg 0 (0.996928) -> 0, seg 1 (0.275701) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[12] = new AMPA_syn_inh(0.275701)") h("a_pyramidals_48[18].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.9969277), syn_SmallNet_pyr_bask_AMPA_syn_inh[12], 0.0, 0.0, 1.0))") # Connection 13: 42, seg 0 (0.449945) -> 0, seg 1 (0.445524) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[13] = new AMPA_syn_inh(0.445524)") h("a_pyramidals_48[42].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.44994545), syn_SmallNet_pyr_bask_AMPA_syn_inh[13], 0.0, 0.0, 1.0))") # Connection 14: 21, seg 0 (0.800877) -> 0, seg 1 (0.750893) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[14] = new AMPA_syn_inh(0.750893)") h("a_pyramidals_48[21].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.8008774), syn_SmallNet_pyr_bask_AMPA_syn_inh[14], 0.0, 0.0, 1.0))") # Connection 15: 6, seg 0 (0.093915) -> 0, seg 1 (0.297882) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[15] = new AMPA_syn_inh(0.297882)") h("a_pyramidals_48[6].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.093914986), syn_SmallNet_pyr_bask_AMPA_syn_inh[15], 0.0, 0.0, 1.0))") # Connection 16: 7, seg 0 (0.698587) -> 0, seg 1 (0.187216) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[16] = new AMPA_syn_inh(0.187216)") h("a_pyramidals_48[7].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.69858676), syn_SmallNet_pyr_bask_AMPA_syn_inh[16], 0.0, 0.0, 1.0))") # Connection 17: 40, seg 0 (0.527644) -> 0, seg 1 (0.523449) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[17] = new AMPA_syn_inh(0.523449)") h("a_pyramidals_48[40].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.5276436), syn_SmallNet_pyr_bask_AMPA_syn_inh[17], 0.0, 0.0, 1.0))") # Connection 18: 14, seg 0 (0.994856) -> 0, seg 1 (0.077084) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[18] = new AMPA_syn_inh(0.077084)") h("a_pyramidals_48[14].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.9948565), syn_SmallNet_pyr_bask_AMPA_syn_inh[18], 0.0, 0.0, 1.0))") # Connection 19: 40, seg 0 (0.706801) -> 0, seg 1 (0.781289) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[19] = new AMPA_syn_inh(0.781289)") h("a_pyramidals_48[40].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.70680064), syn_SmallNet_pyr_bask_AMPA_syn_inh[19], 0.0, 0.0, 1.0))") # Connection 20: 21, seg 0 (0.582688) -> 0, seg 1 (0.430303) h("a_baskets_12[0].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[20] = new AMPA_syn_inh(0.430303)") h("a_pyramidals_48[21].soma a_baskets_12[0].synlist.append(new NetCon(&v(0.58268833), syn_SmallNet_pyr_bask_AMPA_syn_inh[20], 0.0, 0.0, 1.0))") # Connection 21: 12, seg 0 (0.974711) -> 1, seg 1 (0.708611) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[21] = new AMPA_syn_inh(0.708611)") h("a_pyramidals_48[12].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.97471064), syn_SmallNet_pyr_bask_AMPA_syn_inh[21], 0.0, 0.0, 1.0))") # Connection 22: 10, seg 0 (0.954559) -> 1, seg 1 (0.722530) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[22] = new AMPA_syn_inh(0.722530)") h("a_pyramidals_48[10].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.9545588), syn_SmallNet_pyr_bask_AMPA_syn_inh[22], 0.0, 0.0, 1.0))") # Connection 23: 47, seg 0 (0.929581) -> 1, seg 1 (0.824415) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[23] = new AMPA_syn_inh(0.824415)") h("a_pyramidals_48[47].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.92958057), syn_SmallNet_pyr_bask_AMPA_syn_inh[23], 0.0, 0.0, 1.0))") # Connection 24: 0, seg 0 (0.712306) -> 1, seg 1 (0.558898) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[24] = new AMPA_syn_inh(0.558898)") h("a_pyramidals_48[0].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.71230567), syn_SmallNet_pyr_bask_AMPA_syn_inh[24], 0.0, 0.0, 1.0))") # Connection 25: 0, seg 0 (0.616857) -> 1, seg 1 (0.481301) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[25] = new AMPA_syn_inh(0.481301)") h("a_pyramidals_48[0].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.6168574), syn_SmallNet_pyr_bask_AMPA_syn_inh[25], 0.0, 0.0, 1.0))") # Connection 26: 14, seg 0 (0.191628) -> 1, seg 1 (0.411232) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[26] = new AMPA_syn_inh(0.411232)") h("a_pyramidals_48[14].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.19162786), syn_SmallNet_pyr_bask_AMPA_syn_inh[26], 0.0, 0.0, 1.0))") # Connection 27: 45, seg 0 (0.287764) -> 1, seg 1 (0.556133) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[27] = new AMPA_syn_inh(0.556133)") h("a_pyramidals_48[45].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.2877642), syn_SmallNet_pyr_bask_AMPA_syn_inh[27], 0.0, 0.0, 1.0))") # Connection 28: 21, seg 0 (0.277486) -> 1, seg 1 (0.012926) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[28] = new AMPA_syn_inh(0.012926)") h("a_pyramidals_48[21].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.27748585), syn_SmallNet_pyr_bask_AMPA_syn_inh[28], 0.0, 0.0, 1.0))") # Connection 29: 10, seg 0 (0.484521) -> 1, seg 1 (0.828493) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[29] = new AMPA_syn_inh(0.828493)") h("a_pyramidals_48[10].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.48452055), syn_SmallNet_pyr_bask_AMPA_syn_inh[29], 0.0, 0.0, 1.0))") # Connection 30: 40, seg 0 (0.338075) -> 1, seg 1 (0.820879) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[30] = new AMPA_syn_inh(0.820879)") h("a_pyramidals_48[40].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.33807498), syn_SmallNet_pyr_bask_AMPA_syn_inh[30], 0.0, 0.0, 1.0))") # Connection 31: 45, seg 0 (0.517250) -> 1, seg 1 (0.785142) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[31] = new AMPA_syn_inh(0.785142)") h("a_pyramidals_48[45].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.51724976), syn_SmallNet_pyr_bask_AMPA_syn_inh[31], 0.0, 0.0, 1.0))") # Connection 32: 2, seg 0 (0.294077) -> 1, seg 1 (0.153832) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[32] = new AMPA_syn_inh(0.153832)") h("a_pyramidals_48[2].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.2940765), syn_SmallNet_pyr_bask_AMPA_syn_inh[32], 0.0, 0.0, 1.0))") # Connection 33: 33, seg 0 (0.493674) -> 1, seg 1 (0.946857) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[33] = new AMPA_syn_inh(0.946857)") h("a_pyramidals_48[33].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.49367404), syn_SmallNet_pyr_bask_AMPA_syn_inh[33], 0.0, 0.0, 1.0))") # Connection 34: 12, seg 0 (0.938024) -> 1, seg 1 (0.689628) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[34] = new AMPA_syn_inh(0.689628)") h("a_pyramidals_48[12].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.9380237), syn_SmallNet_pyr_bask_AMPA_syn_inh[34], 0.0, 0.0, 1.0))") # Connection 35: 39, seg 0 (0.109517) -> 1, seg 1 (0.688540) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[35] = new AMPA_syn_inh(0.688540)") h("a_pyramidals_48[39].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.10951692), syn_SmallNet_pyr_bask_AMPA_syn_inh[35], 0.0, 0.0, 1.0))") # Connection 36: 10, seg 0 (0.444767) -> 1, seg 1 (0.993809) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[36] = new AMPA_syn_inh(0.993809)") h("a_pyramidals_48[10].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.44476712), syn_SmallNet_pyr_bask_AMPA_syn_inh[36], 0.0, 0.0, 1.0))") # Connection 37: 46, seg 0 (0.855714) -> 1, seg 1 (0.792239) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[37] = new AMPA_syn_inh(0.792239)") h("a_pyramidals_48[46].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.8557138), syn_SmallNet_pyr_bask_AMPA_syn_inh[37], 0.0, 0.0, 1.0))") # Connection 38: 35, seg 0 (0.701866) -> 1, seg 1 (0.621168) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[38] = new AMPA_syn_inh(0.621168)") h("a_pyramidals_48[35].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.7018662), syn_SmallNet_pyr_bask_AMPA_syn_inh[38], 0.0, 0.0, 1.0))") # Connection 39: 27, seg 0 (0.042401) -> 1, seg 1 (0.921847) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[39] = new AMPA_syn_inh(0.921847)") h("a_pyramidals_48[27].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.042401433), syn_SmallNet_pyr_bask_AMPA_syn_inh[39], 0.0, 0.0, 1.0))") # Connection 40: 29, seg 0 (0.540334) -> 1, seg 1 (0.469799) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[40] = new AMPA_syn_inh(0.469799)") h("a_pyramidals_48[29].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.5403337), syn_SmallNet_pyr_bask_AMPA_syn_inh[40], 0.0, 0.0, 1.0))") # Connection 41: 27, seg 0 (0.477117) -> 1, seg 1 (0.813668) h("a_baskets_12[1].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[41] = new AMPA_syn_inh(0.813668)") h("a_pyramidals_48[27].soma a_baskets_12[1].synlist.append(new NetCon(&v(0.47711694), syn_SmallNet_pyr_bask_AMPA_syn_inh[41], 0.0, 0.0, 1.0))") # Connection 42: 25, seg 0 (0.981896) -> 2, seg 1 (0.858656) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[42] = new AMPA_syn_inh(0.858656)") h("a_pyramidals_48[25].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.98189616), syn_SmallNet_pyr_bask_AMPA_syn_inh[42], 0.0, 0.0, 1.0))") # Connection 43: 20, seg 0 (0.373003) -> 2, seg 1 (0.557205) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[43] = new AMPA_syn_inh(0.557205)") h("a_pyramidals_48[20].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.37300307), syn_SmallNet_pyr_bask_AMPA_syn_inh[43], 0.0, 0.0, 1.0))") # Connection 44: 40, seg 0 (0.552771) -> 2, seg 1 (0.772237) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[44] = new AMPA_syn_inh(0.772237)") h("a_pyramidals_48[40].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.55277145), syn_SmallNet_pyr_bask_AMPA_syn_inh[44], 0.0, 0.0, 1.0))") # Connection 45: 32, seg 0 (0.102761) -> 2, seg 1 (0.614172) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[45] = new AMPA_syn_inh(0.614172)") h("a_pyramidals_48[32].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.10276121), syn_SmallNet_pyr_bask_AMPA_syn_inh[45], 0.0, 0.0, 1.0))") # Connection 46: 26, seg 0 (0.951661) -> 2, seg 1 (0.631097) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[46] = new AMPA_syn_inh(0.631097)") h("a_pyramidals_48[26].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.9516609), syn_SmallNet_pyr_bask_AMPA_syn_inh[46], 0.0, 0.0, 1.0))") # Connection 47: 28, seg 0 (0.987310) -> 2, seg 1 (0.528144) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[47] = new AMPA_syn_inh(0.528144)") h("a_pyramidals_48[28].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.98730963), syn_SmallNet_pyr_bask_AMPA_syn_inh[47], 0.0, 0.0, 1.0))") # Connection 48: 38, seg 0 (0.836313) -> 2, seg 1 (0.289884) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[48] = new AMPA_syn_inh(0.289884)") h("a_pyramidals_48[38].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.8363129), syn_SmallNet_pyr_bask_AMPA_syn_inh[48], 0.0, 0.0, 1.0))") # Connection 49: 0, seg 0 (0.138388) -> 2, seg 1 (0.668090) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[49] = new AMPA_syn_inh(0.668090)") h("a_pyramidals_48[0].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.13838774), syn_SmallNet_pyr_bask_AMPA_syn_inh[49], 0.0, 0.0, 1.0))") # Connection 50: 33, seg 0 (0.235166) -> 2, seg 1 (0.636235) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[50] = new AMPA_syn_inh(0.636235)") h("a_pyramidals_48[33].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.23516619), syn_SmallNet_pyr_bask_AMPA_syn_inh[50], 0.0, 0.0, 1.0))") # Connection 51: 5, seg 0 (0.975241) -> 2, seg 1 (0.524322) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[51] = new AMPA_syn_inh(0.524322)") h("a_pyramidals_48[5].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.9752406), syn_SmallNet_pyr_bask_AMPA_syn_inh[51], 0.0, 0.0, 1.0))") # Connection 52: 10, seg 0 (0.906664) -> 2, seg 1 (0.766906) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[52] = new AMPA_syn_inh(0.766906)") h("a_pyramidals_48[10].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.90666354), syn_SmallNet_pyr_bask_AMPA_syn_inh[52], 0.0, 0.0, 1.0))") # Connection 53: 11, seg 0 (0.751651) -> 2, seg 1 (0.533452) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[53] = new AMPA_syn_inh(0.533452)") h("a_pyramidals_48[11].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.7516511), syn_SmallNet_pyr_bask_AMPA_syn_inh[53], 0.0, 0.0, 1.0))") # Connection 54: 6, seg 0 (0.240767) -> 2, seg 1 (0.676068) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[54] = new AMPA_syn_inh(0.676068)") h("a_pyramidals_48[6].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.240767), syn_SmallNet_pyr_bask_AMPA_syn_inh[54], 0.0, 0.0, 1.0))") # Connection 55: 47, seg 0 (0.272410) -> 2, seg 1 (0.968684) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[55] = new AMPA_syn_inh(0.968684)") h("a_pyramidals_48[47].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.27241004), syn_SmallNet_pyr_bask_AMPA_syn_inh[55], 0.0, 0.0, 1.0))") # Connection 56: 31, seg 0 (0.064442) -> 2, seg 1 (0.236569) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[56] = new AMPA_syn_inh(0.236569)") h("a_pyramidals_48[31].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.06444234), syn_SmallNet_pyr_bask_AMPA_syn_inh[56], 0.0, 0.0, 1.0))") # Connection 57: 21, seg 0 (0.900840) -> 2, seg 1 (0.213913) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[57] = new AMPA_syn_inh(0.213913)") h("a_pyramidals_48[21].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.90083957), syn_SmallNet_pyr_bask_AMPA_syn_inh[57], 0.0, 0.0, 1.0))") # Connection 58: 11, seg 0 (0.709068) -> 2, seg 1 (0.753454) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[58] = new AMPA_syn_inh(0.753454)") h("a_pyramidals_48[11].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.7090682), syn_SmallNet_pyr_bask_AMPA_syn_inh[58], 0.0, 0.0, 1.0))") # Connection 59: 28, seg 0 (0.057738) -> 2, seg 1 (0.925070) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[59] = new AMPA_syn_inh(0.925070)") h("a_pyramidals_48[28].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.05773765), syn_SmallNet_pyr_bask_AMPA_syn_inh[59], 0.0, 0.0, 1.0))") # Connection 60: 38, seg 0 (0.718947) -> 2, seg 1 (0.757352) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[60] = new AMPA_syn_inh(0.757352)") h("a_pyramidals_48[38].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.71894747), syn_SmallNet_pyr_bask_AMPA_syn_inh[60], 0.0, 0.0, 1.0))") # Connection 61: 29, seg 0 (0.638367) -> 2, seg 1 (0.729665) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[61] = new AMPA_syn_inh(0.729665)") h("a_pyramidals_48[29].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.6383672), syn_SmallNet_pyr_bask_AMPA_syn_inh[61], 0.0, 0.0, 1.0))") # Connection 62: 10, seg 0 (0.532289) -> 2, seg 1 (0.153902) h("a_baskets_12[2].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[62] = new AMPA_syn_inh(0.153902)") h("a_pyramidals_48[10].soma a_baskets_12[2].synlist.append(new NetCon(&v(0.5322894), syn_SmallNet_pyr_bask_AMPA_syn_inh[62], 0.0, 0.0, 1.0))") # Connection 63: 8, seg 0 (0.080227) -> 3, seg 1 (0.550819) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[63] = new AMPA_syn_inh(0.550819)") h("a_pyramidals_48[8].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.080227315), syn_SmallNet_pyr_bask_AMPA_syn_inh[63], 0.0, 0.0, 1.0))") # Connection 64: 4, seg 0 (0.658018) -> 3, seg 1 (0.350687) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[64] = new AMPA_syn_inh(0.350687)") h("a_pyramidals_48[4].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.65801805), syn_SmallNet_pyr_bask_AMPA_syn_inh[64], 0.0, 0.0, 1.0))") # Connection 65: 32, seg 0 (0.254602) -> 3, seg 1 (0.380070) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[65] = new AMPA_syn_inh(0.380070)") h("a_pyramidals_48[32].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.25460225), syn_SmallNet_pyr_bask_AMPA_syn_inh[65], 0.0, 0.0, 1.0))") # Connection 66: 38, seg 0 (0.589044) -> 3, seg 1 (0.242937) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[66] = new AMPA_syn_inh(0.242937)") h("a_pyramidals_48[38].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.58904403), syn_SmallNet_pyr_bask_AMPA_syn_inh[66], 0.0, 0.0, 1.0))") # Connection 67: 30, seg 0 (0.504300) -> 3, seg 1 (0.222742) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[67] = new AMPA_syn_inh(0.222742)") h("a_pyramidals_48[30].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.5042998), syn_SmallNet_pyr_bask_AMPA_syn_inh[67], 0.0, 0.0, 1.0))") # Connection 68: 14, seg 0 (0.805851) -> 3, seg 1 (0.353359) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[68] = new AMPA_syn_inh(0.353359)") h("a_pyramidals_48[14].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.8058507), syn_SmallNet_pyr_bask_AMPA_syn_inh[68], 0.0, 0.0, 1.0))") # Connection 69: 4, seg 0 (0.297954) -> 3, seg 1 (0.248163) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[69] = new AMPA_syn_inh(0.248163)") h("a_pyramidals_48[4].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.29795378), syn_SmallNet_pyr_bask_AMPA_syn_inh[69], 0.0, 0.0, 1.0))") # Connection 70: 19, seg 0 (0.554949) -> 3, seg 1 (0.208103) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[70] = new AMPA_syn_inh(0.208103)") h("a_pyramidals_48[19].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.5549486), syn_SmallNet_pyr_bask_AMPA_syn_inh[70], 0.0, 0.0, 1.0))") # Connection 71: 14, seg 0 (0.890886) -> 3, seg 1 (0.344055) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[71] = new AMPA_syn_inh(0.344055)") h("a_pyramidals_48[14].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.8908856), syn_SmallNet_pyr_bask_AMPA_syn_inh[71], 0.0, 0.0, 1.0))") # Connection 72: 11, seg 0 (0.471935) -> 3, seg 1 (0.539425) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[72] = new AMPA_syn_inh(0.539425)") h("a_pyramidals_48[11].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.4719352), syn_SmallNet_pyr_bask_AMPA_syn_inh[72], 0.0, 0.0, 1.0))") # Connection 73: 9, seg 0 (0.070203) -> 3, seg 1 (0.881802) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[73] = new AMPA_syn_inh(0.881802)") h("a_pyramidals_48[9].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.07020348), syn_SmallNet_pyr_bask_AMPA_syn_inh[73], 0.0, 0.0, 1.0))") # Connection 74: 44, seg 0 (0.584388) -> 3, seg 1 (0.551986) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[74] = new AMPA_syn_inh(0.551986)") h("a_pyramidals_48[44].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.58438766), syn_SmallNet_pyr_bask_AMPA_syn_inh[74], 0.0, 0.0, 1.0))") # Connection 75: 2, seg 0 (0.685318) -> 3, seg 1 (0.374495) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[75] = new AMPA_syn_inh(0.374495)") h("a_pyramidals_48[2].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.68531764), syn_SmallNet_pyr_bask_AMPA_syn_inh[75], 0.0, 0.0, 1.0))") # Connection 76: 44, seg 0 (0.401468) -> 3, seg 1 (0.333553) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[76] = new AMPA_syn_inh(0.333553)") h("a_pyramidals_48[44].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.40146828), syn_SmallNet_pyr_bask_AMPA_syn_inh[76], 0.0, 0.0, 1.0))") # Connection 77: 34, seg 0 (0.052051) -> 3, seg 1 (0.757551) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[77] = new AMPA_syn_inh(0.757551)") h("a_pyramidals_48[34].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.05205071), syn_SmallNet_pyr_bask_AMPA_syn_inh[77], 0.0, 0.0, 1.0))") # Connection 78: 25, seg 0 (0.647466) -> 3, seg 1 (0.318888) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[78] = new AMPA_syn_inh(0.318888)") h("a_pyramidals_48[25].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.6474655), syn_SmallNet_pyr_bask_AMPA_syn_inh[78], 0.0, 0.0, 1.0))") # Connection 79: 24, seg 0 (0.661545) -> 3, seg 1 (0.027938) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[79] = new AMPA_syn_inh(0.027938)") h("a_pyramidals_48[24].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.66154474), syn_SmallNet_pyr_bask_AMPA_syn_inh[79], 0.0, 0.0, 1.0))") # Connection 80: 2, seg 0 (0.443223) -> 3, seg 1 (0.586239) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[80] = new AMPA_syn_inh(0.586239)") h("a_pyramidals_48[2].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.44322294), syn_SmallNet_pyr_bask_AMPA_syn_inh[80], 0.0, 0.0, 1.0))") # Connection 81: 42, seg 0 (0.672288) -> 3, seg 1 (0.608158) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[81] = new AMPA_syn_inh(0.608158)") h("a_pyramidals_48[42].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.6722885), syn_SmallNet_pyr_bask_AMPA_syn_inh[81], 0.0, 0.0, 1.0))") # Connection 82: 17, seg 0 (0.680906) -> 3, seg 1 (0.318105) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[82] = new AMPA_syn_inh(0.318105)") h("a_pyramidals_48[17].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.68090624), syn_SmallNet_pyr_bask_AMPA_syn_inh[82], 0.0, 0.0, 1.0))") # Connection 83: 33, seg 0 (0.508318) -> 3, seg 1 (0.234996) h("a_baskets_12[3].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[83] = new AMPA_syn_inh(0.234996)") h("a_pyramidals_48[33].soma a_baskets_12[3].synlist.append(new NetCon(&v(0.508318), syn_SmallNet_pyr_bask_AMPA_syn_inh[83], 0.0, 0.0, 1.0))") # Connection 84: 36, seg 0 (0.629310) -> 4, seg 1 (0.177332) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[84] = new AMPA_syn_inh(0.177332)") h("a_pyramidals_48[36].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.6293104), syn_SmallNet_pyr_bask_AMPA_syn_inh[84], 0.0, 0.0, 1.0))") # Connection 85: 42, seg 0 (0.563908) -> 4, seg 1 (0.286162) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[85] = new AMPA_syn_inh(0.286162)") h("a_pyramidals_48[42].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.56390774), syn_SmallNet_pyr_bask_AMPA_syn_inh[85], 0.0, 0.0, 1.0))") # Connection 86: 42, seg 0 (0.651516) -> 4, seg 1 (0.730184) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[86] = new AMPA_syn_inh(0.730184)") h("a_pyramidals_48[42].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.6515159), syn_SmallNet_pyr_bask_AMPA_syn_inh[86], 0.0, 0.0, 1.0))") # Connection 87: 47, seg 0 (0.454175) -> 4, seg 1 (0.178128) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[87] = new AMPA_syn_inh(0.178128)") h("a_pyramidals_48[47].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.454175), syn_SmallNet_pyr_bask_AMPA_syn_inh[87], 0.0, 0.0, 1.0))") # Connection 88: 35, seg 0 (0.358857) -> 4, seg 1 (0.982891) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[88] = new AMPA_syn_inh(0.982891)") h("a_pyramidals_48[35].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.35885674), syn_SmallNet_pyr_bask_AMPA_syn_inh[88], 0.0, 0.0, 1.0))") # Connection 89: 0, seg 0 (0.730048) -> 4, seg 1 (0.905017) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[89] = new AMPA_syn_inh(0.905017)") h("a_pyramidals_48[0].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.7300485), syn_SmallNet_pyr_bask_AMPA_syn_inh[89], 0.0, 0.0, 1.0))") # Connection 90: 19, seg 0 (0.011776) -> 4, seg 1 (0.672855) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[90] = new AMPA_syn_inh(0.672855)") h("a_pyramidals_48[19].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.011776328), syn_SmallNet_pyr_bask_AMPA_syn_inh[90], 0.0, 0.0, 1.0))") # Connection 91: 21, seg 0 (0.066009) -> 4, seg 1 (0.951158) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[91] = new AMPA_syn_inh(0.951158)") h("a_pyramidals_48[21].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.06600875), syn_SmallNet_pyr_bask_AMPA_syn_inh[91], 0.0, 0.0, 1.0))") # Connection 92: 21, seg 0 (0.062497) -> 4, seg 1 (0.916117) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[92] = new AMPA_syn_inh(0.916117)") h("a_pyramidals_48[21].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.0624969), syn_SmallNet_pyr_bask_AMPA_syn_inh[92], 0.0, 0.0, 1.0))") # Connection 93: 18, seg 0 (0.009775) -> 4, seg 1 (0.202473) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[93] = new AMPA_syn_inh(0.202473)") h("a_pyramidals_48[18].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.009775281), syn_SmallNet_pyr_bask_AMPA_syn_inh[93], 0.0, 0.0, 1.0))") # Connection 94: 4, seg 0 (0.772047) -> 4, seg 1 (0.518454) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[94] = new AMPA_syn_inh(0.518454)") h("a_pyramidals_48[4].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.7720471), syn_SmallNet_pyr_bask_AMPA_syn_inh[94], 0.0, 0.0, 1.0))") # Connection 95: 0, seg 0 (0.156903) -> 4, seg 1 (0.573290) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[95] = new AMPA_syn_inh(0.573290)") h("a_pyramidals_48[0].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.15690327), syn_SmallNet_pyr_bask_AMPA_syn_inh[95], 0.0, 0.0, 1.0))") # Connection 96: 34, seg 0 (0.736800) -> 4, seg 1 (0.129969) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[96] = new AMPA_syn_inh(0.129969)") h("a_pyramidals_48[34].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.73679984), syn_SmallNet_pyr_bask_AMPA_syn_inh[96], 0.0, 0.0, 1.0))") # Connection 97: 40, seg 0 (0.635225) -> 4, seg 1 (0.612864) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[97] = new AMPA_syn_inh(0.612864)") h("a_pyramidals_48[40].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.6352252), syn_SmallNet_pyr_bask_AMPA_syn_inh[97], 0.0, 0.0, 1.0))") # Connection 98: 27, seg 0 (0.742439) -> 4, seg 1 (0.937034) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[98] = new AMPA_syn_inh(0.937034)") h("a_pyramidals_48[27].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.74243915), syn_SmallNet_pyr_bask_AMPA_syn_inh[98], 0.0, 0.0, 1.0))") # Connection 99: 27, seg 0 (0.873241) -> 4, seg 1 (0.770918) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[99] = new AMPA_syn_inh(0.770918)") h("a_pyramidals_48[27].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.8732408), syn_SmallNet_pyr_bask_AMPA_syn_inh[99], 0.0, 0.0, 1.0))") # Connection 100: 22, seg 0 (0.539194) -> 4, seg 1 (0.450345) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[100] = new AMPA_syn_inh(0.450345)") h("a_pyramidals_48[22].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.5391935), syn_SmallNet_pyr_bask_AMPA_syn_inh[100], 0.0, 0.0, 1.0))") # Connection 101: 32, seg 0 (0.114199) -> 4, seg 1 (0.416393) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[101] = new AMPA_syn_inh(0.416393)") h("a_pyramidals_48[32].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.11419928), syn_SmallNet_pyr_bask_AMPA_syn_inh[101], 0.0, 0.0, 1.0))") # Connection 102: 10, seg 0 (0.176289) -> 4, seg 1 (0.965680) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[102] = new AMPA_syn_inh(0.965680)") h("a_pyramidals_48[10].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.17628932), syn_SmallNet_pyr_bask_AMPA_syn_inh[102], 0.0, 0.0, 1.0))") # Connection 103: 8, seg 0 (0.253735) -> 4, seg 1 (0.121998) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[103] = new AMPA_syn_inh(0.121998)") h("a_pyramidals_48[8].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.2537347), syn_SmallNet_pyr_bask_AMPA_syn_inh[103], 0.0, 0.0, 1.0))") # Connection 104: 12, seg 0 (0.858451) -> 4, seg 1 (0.457122) h("a_baskets_12[4].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[104] = new AMPA_syn_inh(0.457122)") h("a_pyramidals_48[12].soma a_baskets_12[4].synlist.append(new NetCon(&v(0.858451), syn_SmallNet_pyr_bask_AMPA_syn_inh[104], 0.0, 0.0, 1.0))") # Connection 105: 35, seg 0 (0.871568) -> 5, seg 1 (0.602321) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[105] = new AMPA_syn_inh(0.602321)") h("a_pyramidals_48[35].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.8715681), syn_SmallNet_pyr_bask_AMPA_syn_inh[105], 0.0, 0.0, 1.0))") # Connection 106: 41, seg 0 (0.639793) -> 5, seg 1 (0.536025) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[106] = new AMPA_syn_inh(0.536025)") h("a_pyramidals_48[41].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.639793), syn_SmallNet_pyr_bask_AMPA_syn_inh[106], 0.0, 0.0, 1.0))") # Connection 107: 34, seg 0 (0.853258) -> 5, seg 1 (0.502481) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[107] = new AMPA_syn_inh(0.502481)") h("a_pyramidals_48[34].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.8532583), syn_SmallNet_pyr_bask_AMPA_syn_inh[107], 0.0, 0.0, 1.0))") # Connection 108: 43, seg 0 (0.978988) -> 5, seg 1 (0.717942) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[108] = new AMPA_syn_inh(0.717942)") h("a_pyramidals_48[43].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.9789884), syn_SmallNet_pyr_bask_AMPA_syn_inh[108], 0.0, 0.0, 1.0))") # Connection 109: 13, seg 0 (0.114131) -> 5, seg 1 (0.083959) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[109] = new AMPA_syn_inh(0.083959)") h("a_pyramidals_48[13].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.114130795), syn_SmallNet_pyr_bask_AMPA_syn_inh[109], 0.0, 0.0, 1.0))") # Connection 110: 44, seg 0 (0.049081) -> 5, seg 1 (0.224031) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[110] = new AMPA_syn_inh(0.224031)") h("a_pyramidals_48[44].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.049081385), syn_SmallNet_pyr_bask_AMPA_syn_inh[110], 0.0, 0.0, 1.0))") # Connection 111: 38, seg 0 (0.875773) -> 5, seg 1 (0.869222) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[111] = new AMPA_syn_inh(0.869222)") h("a_pyramidals_48[38].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.875773), syn_SmallNet_pyr_bask_AMPA_syn_inh[111], 0.0, 0.0, 1.0))") # Connection 112: 40, seg 0 (0.366652) -> 5, seg 1 (0.737899) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[112] = new AMPA_syn_inh(0.737899)") h("a_pyramidals_48[40].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.3666525), syn_SmallNet_pyr_bask_AMPA_syn_inh[112], 0.0, 0.0, 1.0))") # Connection 113: 3, seg 0 (0.931377) -> 5, seg 1 (0.527977) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[113] = new AMPA_syn_inh(0.527977)") h("a_pyramidals_48[3].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.9313769), syn_SmallNet_pyr_bask_AMPA_syn_inh[113], 0.0, 0.0, 1.0))") # Connection 114: 26, seg 0 (0.364103) -> 5, seg 1 (0.898691) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[114] = new AMPA_syn_inh(0.898691)") h("a_pyramidals_48[26].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.36410314), syn_SmallNet_pyr_bask_AMPA_syn_inh[114], 0.0, 0.0, 1.0))") # Connection 115: 26, seg 0 (0.871301) -> 5, seg 1 (0.017656) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[115] = new AMPA_syn_inh(0.017656)") h("a_pyramidals_48[26].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.871301), syn_SmallNet_pyr_bask_AMPA_syn_inh[115], 0.0, 0.0, 1.0))") # Connection 116: 16, seg 0 (0.368756) -> 5, seg 1 (0.557972) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[116] = new AMPA_syn_inh(0.557972)") h("a_pyramidals_48[16].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.368756), syn_SmallNet_pyr_bask_AMPA_syn_inh[116], 0.0, 0.0, 1.0))") # Connection 117: 37, seg 0 (0.252894) -> 5, seg 1 (0.997438) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[117] = new AMPA_syn_inh(0.997438)") h("a_pyramidals_48[37].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.25289434), syn_SmallNet_pyr_bask_AMPA_syn_inh[117], 0.0, 0.0, 1.0))") # Connection 118: 19, seg 0 (0.862172) -> 5, seg 1 (0.053659) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[118] = new AMPA_syn_inh(0.053659)") h("a_pyramidals_48[19].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.8621721), syn_SmallNet_pyr_bask_AMPA_syn_inh[118], 0.0, 0.0, 1.0))") # Connection 119: 45, seg 0 (0.614134) -> 5, seg 1 (0.246064) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[119] = new AMPA_syn_inh(0.246064)") h("a_pyramidals_48[45].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.61413395), syn_SmallNet_pyr_bask_AMPA_syn_inh[119], 0.0, 0.0, 1.0))") # Connection 120: 24, seg 0 (0.563139) -> 5, seg 1 (0.316421) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[120] = new AMPA_syn_inh(0.316421)") h("a_pyramidals_48[24].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.5631389), syn_SmallNet_pyr_bask_AMPA_syn_inh[120], 0.0, 0.0, 1.0))") # Connection 121: 12, seg 0 (0.605272) -> 5, seg 1 (0.592384) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[121] = new AMPA_syn_inh(0.592384)") h("a_pyramidals_48[12].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.6052716), syn_SmallNet_pyr_bask_AMPA_syn_inh[121], 0.0, 0.0, 1.0))") # Connection 122: 4, seg 0 (0.483966) -> 5, seg 1 (0.006549) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[122] = new AMPA_syn_inh(0.006549)") h("a_pyramidals_48[4].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.4839663), syn_SmallNet_pyr_bask_AMPA_syn_inh[122], 0.0, 0.0, 1.0))") # Connection 123: 38, seg 0 (0.720071) -> 5, seg 1 (0.693940) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[123] = new AMPA_syn_inh(0.693940)") h("a_pyramidals_48[38].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.72007054), syn_SmallNet_pyr_bask_AMPA_syn_inh[123], 0.0, 0.0, 1.0))") # Connection 124: 43, seg 0 (0.353159) -> 5, seg 1 (0.789961) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[124] = new AMPA_syn_inh(0.789961)") h("a_pyramidals_48[43].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.353159), syn_SmallNet_pyr_bask_AMPA_syn_inh[124], 0.0, 0.0, 1.0))") # Connection 125: 6, seg 0 (0.659941) -> 5, seg 1 (0.335950) h("a_baskets_12[5].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[125] = new AMPA_syn_inh(0.335950)") h("a_pyramidals_48[6].soma a_baskets_12[5].synlist.append(new NetCon(&v(0.6599409), syn_SmallNet_pyr_bask_AMPA_syn_inh[125], 0.0, 0.0, 1.0))") # Connection 126: 33, seg 0 (0.748945) -> 6, seg 1 (0.677807) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[126] = new AMPA_syn_inh(0.677807)") h("a_pyramidals_48[33].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.7489449), syn_SmallNet_pyr_bask_AMPA_syn_inh[126], 0.0, 0.0, 1.0))") # Connection 127: 33, seg 0 (0.790566) -> 6, seg 1 (0.274267) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[127] = new AMPA_syn_inh(0.274267)") h("a_pyramidals_48[33].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.79056585), syn_SmallNet_pyr_bask_AMPA_syn_inh[127], 0.0, 0.0, 1.0))") # Connection 128: 24, seg 0 (0.602785) -> 6, seg 1 (0.124298) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[128] = new AMPA_syn_inh(0.124298)") h("a_pyramidals_48[24].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.6027846), syn_SmallNet_pyr_bask_AMPA_syn_inh[128], 0.0, 0.0, 1.0))") # Connection 129: 4, seg 0 (0.960588) -> 6, seg 1 (0.277064) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[129] = new AMPA_syn_inh(0.277064)") h("a_pyramidals_48[4].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.96058846), syn_SmallNet_pyr_bask_AMPA_syn_inh[129], 0.0, 0.0, 1.0))") # Connection 130: 22, seg 0 (0.770328) -> 6, seg 1 (0.132000) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[130] = new AMPA_syn_inh(0.132000)") h("a_pyramidals_48[22].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.7703282), syn_SmallNet_pyr_bask_AMPA_syn_inh[130], 0.0, 0.0, 1.0))") # Connection 131: 10, seg 0 (0.036765) -> 6, seg 1 (0.534666) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[131] = new AMPA_syn_inh(0.534666)") h("a_pyramidals_48[10].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.036765218), syn_SmallNet_pyr_bask_AMPA_syn_inh[131], 0.0, 0.0, 1.0))") # Connection 132: 14, seg 0 (0.975290) -> 6, seg 1 (0.924865) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[132] = new AMPA_syn_inh(0.924865)") h("a_pyramidals_48[14].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.9752905), syn_SmallNet_pyr_bask_AMPA_syn_inh[132], 0.0, 0.0, 1.0))") # Connection 133: 45, seg 0 (0.445946) -> 6, seg 1 (0.538696) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[133] = new AMPA_syn_inh(0.538696)") h("a_pyramidals_48[45].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.44594598), syn_SmallNet_pyr_bask_AMPA_syn_inh[133], 0.0, 0.0, 1.0))") # Connection 134: 4, seg 0 (0.103555) -> 6, seg 1 (0.530809) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[134] = new AMPA_syn_inh(0.530809)") h("a_pyramidals_48[4].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.103554964), syn_SmallNet_pyr_bask_AMPA_syn_inh[134], 0.0, 0.0, 1.0))") # Connection 135: 21, seg 0 (0.066363) -> 6, seg 1 (0.828596) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[135] = new AMPA_syn_inh(0.828596)") h("a_pyramidals_48[21].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.06636292), syn_SmallNet_pyr_bask_AMPA_syn_inh[135], 0.0, 0.0, 1.0))") # Connection 136: 44, seg 0 (0.189232) -> 6, seg 1 (0.246049) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[136] = new AMPA_syn_inh(0.246049)") h("a_pyramidals_48[44].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.18923211), syn_SmallNet_pyr_bask_AMPA_syn_inh[136], 0.0, 0.0, 1.0))") # Connection 137: 20, seg 0 (0.031810) -> 6, seg 1 (0.256217) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[137] = new AMPA_syn_inh(0.256217)") h("a_pyramidals_48[20].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.031809628), syn_SmallNet_pyr_bask_AMPA_syn_inh[137], 0.0, 0.0, 1.0))") # Connection 138: 12, seg 0 (0.474969) -> 6, seg 1 (0.145235) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[138] = new AMPA_syn_inh(0.145235)") h("a_pyramidals_48[12].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.47496945), syn_SmallNet_pyr_bask_AMPA_syn_inh[138], 0.0, 0.0, 1.0))") # Connection 139: 30, seg 0 (0.675336) -> 6, seg 1 (0.895062) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[139] = new AMPA_syn_inh(0.895062)") h("a_pyramidals_48[30].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.6753356), syn_SmallNet_pyr_bask_AMPA_syn_inh[139], 0.0, 0.0, 1.0))") # Connection 140: 1, seg 0 (0.067059) -> 6, seg 1 (0.037931) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[140] = new AMPA_syn_inh(0.037931)") h("a_pyramidals_48[1].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.0670588), syn_SmallNet_pyr_bask_AMPA_syn_inh[140], 0.0, 0.0, 1.0))") # Connection 141: 45, seg 0 (0.535194) -> 6, seg 1 (0.743486) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[141] = new AMPA_syn_inh(0.743486)") h("a_pyramidals_48[45].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.53519374), syn_SmallNet_pyr_bask_AMPA_syn_inh[141], 0.0, 0.0, 1.0))") # Connection 142: 34, seg 0 (0.844755) -> 6, seg 1 (0.874799) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[142] = new AMPA_syn_inh(0.874799)") h("a_pyramidals_48[34].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.8447551), syn_SmallNet_pyr_bask_AMPA_syn_inh[142], 0.0, 0.0, 1.0))") # Connection 143: 36, seg 0 (0.423475) -> 6, seg 1 (0.295587) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[143] = new AMPA_syn_inh(0.295587)") h("a_pyramidals_48[36].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.42347503), syn_SmallNet_pyr_bask_AMPA_syn_inh[143], 0.0, 0.0, 1.0))") # Connection 144: 37, seg 0 (0.127464) -> 6, seg 1 (0.389925) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[144] = new AMPA_syn_inh(0.389925)") h("a_pyramidals_48[37].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.12746394), syn_SmallNet_pyr_bask_AMPA_syn_inh[144], 0.0, 0.0, 1.0))") # Connection 145: 5, seg 0 (0.173190) -> 6, seg 1 (0.061333) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[145] = new AMPA_syn_inh(0.061333)") h("a_pyramidals_48[5].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.17319047), syn_SmallNet_pyr_bask_AMPA_syn_inh[145], 0.0, 0.0, 1.0))") # Connection 146: 24, seg 0 (0.042036) -> 6, seg 1 (0.578983) h("a_baskets_12[6].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[146] = new AMPA_syn_inh(0.578983)") h("a_pyramidals_48[24].soma a_baskets_12[6].synlist.append(new NetCon(&v(0.04203564), syn_SmallNet_pyr_bask_AMPA_syn_inh[146], 0.0, 0.0, 1.0))") # Connection 147: 27, seg 0 (0.570306) -> 7, seg 1 (0.274265) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[147] = new AMPA_syn_inh(0.274265)") h("a_pyramidals_48[27].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.5703062), syn_SmallNet_pyr_bask_AMPA_syn_inh[147], 0.0, 0.0, 1.0))") # Connection 148: 26, seg 0 (0.586770) -> 7, seg 1 (0.666708) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[148] = new AMPA_syn_inh(0.666708)") h("a_pyramidals_48[26].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.5867704), syn_SmallNet_pyr_bask_AMPA_syn_inh[148], 0.0, 0.0, 1.0))") # Connection 149: 24, seg 0 (0.168323) -> 7, seg 1 (0.507711) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[149] = new AMPA_syn_inh(0.507711)") h("a_pyramidals_48[24].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.16832298), syn_SmallNet_pyr_bask_AMPA_syn_inh[149], 0.0, 0.0, 1.0))") # Connection 150: 28, seg 0 (0.199727) -> 7, seg 1 (0.929867) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[150] = new AMPA_syn_inh(0.929867)") h("a_pyramidals_48[28].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.19972706), syn_SmallNet_pyr_bask_AMPA_syn_inh[150], 0.0, 0.0, 1.0))") # Connection 151: 37, seg 0 (0.673790) -> 7, seg 1 (0.046219) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[151] = new AMPA_syn_inh(0.046219)") h("a_pyramidals_48[37].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.6737904), syn_SmallNet_pyr_bask_AMPA_syn_inh[151], 0.0, 0.0, 1.0))") # Connection 152: 27, seg 0 (0.183602) -> 7, seg 1 (0.938431) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[152] = new AMPA_syn_inh(0.938431)") h("a_pyramidals_48[27].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.18360227), syn_SmallNet_pyr_bask_AMPA_syn_inh[152], 0.0, 0.0, 1.0))") # Connection 153: 21, seg 0 (0.169258) -> 7, seg 1 (0.511193) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[153] = new AMPA_syn_inh(0.511193)") h("a_pyramidals_48[21].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.16925782), syn_SmallNet_pyr_bask_AMPA_syn_inh[153], 0.0, 0.0, 1.0))") # Connection 154: 8, seg 0 (0.038106) -> 7, seg 1 (0.418610) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[154] = new AMPA_syn_inh(0.418610)") h("a_pyramidals_48[8].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.038106084), syn_SmallNet_pyr_bask_AMPA_syn_inh[154], 0.0, 0.0, 1.0))") # Connection 155: 25, seg 0 (0.109956) -> 7, seg 1 (0.509325) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[155] = new AMPA_syn_inh(0.509325)") h("a_pyramidals_48[25].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.109956026), syn_SmallNet_pyr_bask_AMPA_syn_inh[155], 0.0, 0.0, 1.0))") # Connection 156: 7, seg 0 (0.842967) -> 7, seg 1 (0.149199) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[156] = new AMPA_syn_inh(0.149199)") h("a_pyramidals_48[7].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.84296733), syn_SmallNet_pyr_bask_AMPA_syn_inh[156], 0.0, 0.0, 1.0))") # Connection 157: 20, seg 0 (0.138392) -> 7, seg 1 (0.397049) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[157] = new AMPA_syn_inh(0.397049)") h("a_pyramidals_48[20].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.13839215), syn_SmallNet_pyr_bask_AMPA_syn_inh[157], 0.0, 0.0, 1.0))") # Connection 158: 30, seg 0 (0.372023) -> 7, seg 1 (0.300105) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[158] = new AMPA_syn_inh(0.300105)") h("a_pyramidals_48[30].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.37202317), syn_SmallNet_pyr_bask_AMPA_syn_inh[158], 0.0, 0.0, 1.0))") # Connection 159: 6, seg 0 (0.743386) -> 7, seg 1 (0.062933) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[159] = new AMPA_syn_inh(0.062933)") h("a_pyramidals_48[6].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.7433861), syn_SmallNet_pyr_bask_AMPA_syn_inh[159], 0.0, 0.0, 1.0))") # Connection 160: 18, seg 0 (0.140702) -> 7, seg 1 (0.288958) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[160] = new AMPA_syn_inh(0.288958)") h("a_pyramidals_48[18].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.14070177), syn_SmallNet_pyr_bask_AMPA_syn_inh[160], 0.0, 0.0, 1.0))") # Connection 161: 0, seg 0 (0.563109) -> 7, seg 1 (0.461809) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[161] = new AMPA_syn_inh(0.461809)") h("a_pyramidals_48[0].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.563109), syn_SmallNet_pyr_bask_AMPA_syn_inh[161], 0.0, 0.0, 1.0))") # Connection 162: 21, seg 0 (0.016955) -> 7, seg 1 (0.332127) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[162] = new AMPA_syn_inh(0.332127)") h("a_pyramidals_48[21].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.016954899), syn_SmallNet_pyr_bask_AMPA_syn_inh[162], 0.0, 0.0, 1.0))") # Connection 163: 40, seg 0 (0.486844) -> 7, seg 1 (0.926944) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[163] = new AMPA_syn_inh(0.926944)") h("a_pyramidals_48[40].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.4868443), syn_SmallNet_pyr_bask_AMPA_syn_inh[163], 0.0, 0.0, 1.0))") # Connection 164: 17, seg 0 (0.028926) -> 7, seg 1 (0.587694) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[164] = new AMPA_syn_inh(0.587694)") h("a_pyramidals_48[17].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.028926492), syn_SmallNet_pyr_bask_AMPA_syn_inh[164], 0.0, 0.0, 1.0))") # Connection 165: 40, seg 0 (0.671854) -> 7, seg 1 (0.489127) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[165] = new AMPA_syn_inh(0.489127)") h("a_pyramidals_48[40].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.6718543), syn_SmallNet_pyr_bask_AMPA_syn_inh[165], 0.0, 0.0, 1.0))") # Connection 166: 43, seg 0 (0.060262) -> 7, seg 1 (0.084418) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[166] = new AMPA_syn_inh(0.084418)") h("a_pyramidals_48[43].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.06026244), syn_SmallNet_pyr_bask_AMPA_syn_inh[166], 0.0, 0.0, 1.0))") # Connection 167: 34, seg 0 (0.038113) -> 7, seg 1 (0.828037) h("a_baskets_12[7].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[167] = new AMPA_syn_inh(0.828037)") h("a_pyramidals_48[34].soma a_baskets_12[7].synlist.append(new NetCon(&v(0.038113296), syn_SmallNet_pyr_bask_AMPA_syn_inh[167], 0.0, 0.0, 1.0))") # Connection 168: 24, seg 0 (0.721525) -> 8, seg 1 (0.949831) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[168] = new AMPA_syn_inh(0.949831)") h("a_pyramidals_48[24].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.7215248), syn_SmallNet_pyr_bask_AMPA_syn_inh[168], 0.0, 0.0, 1.0))") # Connection 169: 24, seg 0 (0.245451) -> 8, seg 1 (0.064618) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[169] = new AMPA_syn_inh(0.064618)") h("a_pyramidals_48[24].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.2454508), syn_SmallNet_pyr_bask_AMPA_syn_inh[169], 0.0, 0.0, 1.0))") # Connection 170: 0, seg 0 (0.559576) -> 8, seg 1 (0.770512) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[170] = new AMPA_syn_inh(0.770512)") h("a_pyramidals_48[0].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.55957603), syn_SmallNet_pyr_bask_AMPA_syn_inh[170], 0.0, 0.0, 1.0))") # Connection 171: 20, seg 0 (0.412614) -> 8, seg 1 (0.572197) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[171] = new AMPA_syn_inh(0.572197)") h("a_pyramidals_48[20].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.41261417), syn_SmallNet_pyr_bask_AMPA_syn_inh[171], 0.0, 0.0, 1.0))") # Connection 172: 9, seg 0 (0.821331) -> 8, seg 1 (0.613034) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[172] = new AMPA_syn_inh(0.613034)") h("a_pyramidals_48[9].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.8213309), syn_SmallNet_pyr_bask_AMPA_syn_inh[172], 0.0, 0.0, 1.0))") # Connection 173: 13, seg 0 (0.433416) -> 8, seg 1 (0.894997) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[173] = new AMPA_syn_inh(0.894997)") h("a_pyramidals_48[13].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.43341553), syn_SmallNet_pyr_bask_AMPA_syn_inh[173], 0.0, 0.0, 1.0))") # Connection 174: 4, seg 0 (0.490516) -> 8, seg 1 (0.136201) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[174] = new AMPA_syn_inh(0.136201)") h("a_pyramidals_48[4].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.49051565), syn_SmallNet_pyr_bask_AMPA_syn_inh[174], 0.0, 0.0, 1.0))") # Connection 175: 28, seg 0 (0.225202) -> 8, seg 1 (0.190854) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[175] = new AMPA_syn_inh(0.190854)") h("a_pyramidals_48[28].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.2252019), syn_SmallNet_pyr_bask_AMPA_syn_inh[175], 0.0, 0.0, 1.0))") # Connection 176: 19, seg 0 (0.175265) -> 8, seg 1 (0.330701) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[176] = new AMPA_syn_inh(0.330701)") h("a_pyramidals_48[19].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.17526543), syn_SmallNet_pyr_bask_AMPA_syn_inh[176], 0.0, 0.0, 1.0))") # Connection 177: 14, seg 0 (0.149073) -> 8, seg 1 (0.448793) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[177] = new AMPA_syn_inh(0.448793)") h("a_pyramidals_48[14].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.14907312), syn_SmallNet_pyr_bask_AMPA_syn_inh[177], 0.0, 0.0, 1.0))") # Connection 178: 6, seg 0 (0.848205) -> 8, seg 1 (0.053290) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[178] = new AMPA_syn_inh(0.053290)") h("a_pyramidals_48[6].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.84820545), syn_SmallNet_pyr_bask_AMPA_syn_inh[178], 0.0, 0.0, 1.0))") # Connection 179: 47, seg 0 (0.971702) -> 8, seg 1 (0.540677) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[179] = new AMPA_syn_inh(0.540677)") h("a_pyramidals_48[47].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.97170186), syn_SmallNet_pyr_bask_AMPA_syn_inh[179], 0.0, 0.0, 1.0))") # Connection 180: 13, seg 0 (0.969474) -> 8, seg 1 (0.332109) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[180] = new AMPA_syn_inh(0.332109)") h("a_pyramidals_48[13].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.9694742), syn_SmallNet_pyr_bask_AMPA_syn_inh[180], 0.0, 0.0, 1.0))") # Connection 181: 31, seg 0 (0.419882) -> 8, seg 1 (0.050733) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[181] = new AMPA_syn_inh(0.050733)") h("a_pyramidals_48[31].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.41988236), syn_SmallNet_pyr_bask_AMPA_syn_inh[181], 0.0, 0.0, 1.0))") # Connection 182: 33, seg 0 (0.415350) -> 8, seg 1 (0.479888) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[182] = new AMPA_syn_inh(0.479888)") h("a_pyramidals_48[33].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.41534972), syn_SmallNet_pyr_bask_AMPA_syn_inh[182], 0.0, 0.0, 1.0))") # Connection 183: 19, seg 0 (0.762643) -> 8, seg 1 (0.385109) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[183] = new AMPA_syn_inh(0.385109)") h("a_pyramidals_48[19].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.7626434), syn_SmallNet_pyr_bask_AMPA_syn_inh[183], 0.0, 0.0, 1.0))") # Connection 184: 38, seg 0 (0.794916) -> 8, seg 1 (0.358610) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[184] = new AMPA_syn_inh(0.358610)") h("a_pyramidals_48[38].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.79491585), syn_SmallNet_pyr_bask_AMPA_syn_inh[184], 0.0, 0.0, 1.0))") # Connection 185: 39, seg 0 (0.913962) -> 8, seg 1 (0.564829) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[185] = new AMPA_syn_inh(0.564829)") h("a_pyramidals_48[39].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.91396224), syn_SmallNet_pyr_bask_AMPA_syn_inh[185], 0.0, 0.0, 1.0))") # Connection 186: 44, seg 0 (0.844989) -> 8, seg 1 (0.207660) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[186] = new AMPA_syn_inh(0.207660)") h("a_pyramidals_48[44].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.8449894), syn_SmallNet_pyr_bask_AMPA_syn_inh[186], 0.0, 0.0, 1.0))") # Connection 187: 12, seg 0 (0.245024) -> 8, seg 1 (0.691515) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[187] = new AMPA_syn_inh(0.691515)") h("a_pyramidals_48[12].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.24502444), syn_SmallNet_pyr_bask_AMPA_syn_inh[187], 0.0, 0.0, 1.0))") # Connection 188: 19, seg 0 (0.817960) -> 8, seg 1 (0.268115) h("a_baskets_12[8].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[188] = new AMPA_syn_inh(0.268115)") h("a_pyramidals_48[19].soma a_baskets_12[8].synlist.append(new NetCon(&v(0.81795985), syn_SmallNet_pyr_bask_AMPA_syn_inh[188], 0.0, 0.0, 1.0))") # Connection 189: 26, seg 0 (0.512988) -> 9, seg 1 (0.774585) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[189] = new AMPA_syn_inh(0.774585)") h("a_pyramidals_48[26].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.5129879), syn_SmallNet_pyr_bask_AMPA_syn_inh[189], 0.0, 0.0, 1.0))") # Connection 190: 37, seg 0 (0.416295) -> 9, seg 1 (0.905103) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[190] = new AMPA_syn_inh(0.905103)") h("a_pyramidals_48[37].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.41629505), syn_SmallNet_pyr_bask_AMPA_syn_inh[190], 0.0, 0.0, 1.0))") # Connection 191: 43, seg 0 (0.473926) -> 9, seg 1 (0.665870) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[191] = new AMPA_syn_inh(0.665870)") h("a_pyramidals_48[43].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.47392637), syn_SmallNet_pyr_bask_AMPA_syn_inh[191], 0.0, 0.0, 1.0))") # Connection 192: 28, seg 0 (0.445444) -> 9, seg 1 (0.962162) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[192] = new AMPA_syn_inh(0.962162)") h("a_pyramidals_48[28].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.44544417), syn_SmallNet_pyr_bask_AMPA_syn_inh[192], 0.0, 0.0, 1.0))") # Connection 193: 9, seg 0 (0.627515) -> 9, seg 1 (0.841585) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[193] = new AMPA_syn_inh(0.841585)") h("a_pyramidals_48[9].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.627515), syn_SmallNet_pyr_bask_AMPA_syn_inh[193], 0.0, 0.0, 1.0))") # Connection 194: 3, seg 0 (0.451611) -> 9, seg 1 (0.951518) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[194] = new AMPA_syn_inh(0.951518)") h("a_pyramidals_48[3].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.45161062), syn_SmallNet_pyr_bask_AMPA_syn_inh[194], 0.0, 0.0, 1.0))") # Connection 195: 31, seg 0 (0.659914) -> 9, seg 1 (0.613425) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[195] = new AMPA_syn_inh(0.613425)") h("a_pyramidals_48[31].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.6599144), syn_SmallNet_pyr_bask_AMPA_syn_inh[195], 0.0, 0.0, 1.0))") # Connection 196: 27, seg 0 (0.566211) -> 9, seg 1 (0.748627) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[196] = new AMPA_syn_inh(0.748627)") h("a_pyramidals_48[27].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.56621087), syn_SmallNet_pyr_bask_AMPA_syn_inh[196], 0.0, 0.0, 1.0))") # Connection 197: 13, seg 0 (0.184819) -> 9, seg 1 (0.922070) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[197] = new AMPA_syn_inh(0.922070)") h("a_pyramidals_48[13].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.18481869), syn_SmallNet_pyr_bask_AMPA_syn_inh[197], 0.0, 0.0, 1.0))") # Connection 198: 45, seg 0 (0.824035) -> 9, seg 1 (0.240588) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[198] = new AMPA_syn_inh(0.240588)") h("a_pyramidals_48[45].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.82403487), syn_SmallNet_pyr_bask_AMPA_syn_inh[198], 0.0, 0.0, 1.0))") # Connection 199: 11, seg 0 (0.400274) -> 9, seg 1 (0.176992) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[199] = new AMPA_syn_inh(0.176992)") h("a_pyramidals_48[11].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.40027392), syn_SmallNet_pyr_bask_AMPA_syn_inh[199], 0.0, 0.0, 1.0))") # Connection 200: 26, seg 0 (0.340181) -> 9, seg 1 (0.096151) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[200] = new AMPA_syn_inh(0.096151)") h("a_pyramidals_48[26].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.34018075), syn_SmallNet_pyr_bask_AMPA_syn_inh[200], 0.0, 0.0, 1.0))") # Connection 201: 11, seg 0 (0.202323) -> 9, seg 1 (0.317777) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[201] = new AMPA_syn_inh(0.317777)") h("a_pyramidals_48[11].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.20232314), syn_SmallNet_pyr_bask_AMPA_syn_inh[201], 0.0, 0.0, 1.0))") # Connection 202: 3, seg 0 (0.925598) -> 9, seg 1 (0.801545) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[202] = new AMPA_syn_inh(0.801545)") h("a_pyramidals_48[3].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.9255983), syn_SmallNet_pyr_bask_AMPA_syn_inh[202], 0.0, 0.0, 1.0))") # Connection 203: 47, seg 0 (0.816514) -> 9, seg 1 (0.654422) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[203] = new AMPA_syn_inh(0.654422)") h("a_pyramidals_48[47].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.8165145), syn_SmallNet_pyr_bask_AMPA_syn_inh[203], 0.0, 0.0, 1.0))") # Connection 204: 32, seg 0 (0.772205) -> 9, seg 1 (0.060784) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[204] = new AMPA_syn_inh(0.060784)") h("a_pyramidals_48[32].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.77220476), syn_SmallNet_pyr_bask_AMPA_syn_inh[204], 0.0, 0.0, 1.0))") # Connection 205: 43, seg 0 (0.291846) -> 9, seg 1 (0.902026) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[205] = new AMPA_syn_inh(0.902026)") h("a_pyramidals_48[43].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.2918455), syn_SmallNet_pyr_bask_AMPA_syn_inh[205], 0.0, 0.0, 1.0))") # Connection 206: 16, seg 0 (0.641907) -> 9, seg 1 (0.760250) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[206] = new AMPA_syn_inh(0.760250)") h("a_pyramidals_48[16].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.64190674), syn_SmallNet_pyr_bask_AMPA_syn_inh[206], 0.0, 0.0, 1.0))") # Connection 207: 26, seg 0 (0.065850) -> 9, seg 1 (0.645325) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[207] = new AMPA_syn_inh(0.645325)") h("a_pyramidals_48[26].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.06584966), syn_SmallNet_pyr_bask_AMPA_syn_inh[207], 0.0, 0.0, 1.0))") # Connection 208: 16, seg 0 (0.803785) -> 9, seg 1 (0.327596) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[208] = new AMPA_syn_inh(0.327596)") h("a_pyramidals_48[16].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.80378526), syn_SmallNet_pyr_bask_AMPA_syn_inh[208], 0.0, 0.0, 1.0))") # Connection 209: 9, seg 0 (0.630755) -> 9, seg 1 (0.011426) h("a_baskets_12[9].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[209] = new AMPA_syn_inh(0.011426)") h("a_pyramidals_48[9].soma a_baskets_12[9].synlist.append(new NetCon(&v(0.6307553), syn_SmallNet_pyr_bask_AMPA_syn_inh[209], 0.0, 0.0, 1.0))") # Connection 210: 34, seg 0 (0.322214) -> 10, seg 1 (0.847100) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[210] = new AMPA_syn_inh(0.847100)") h("a_pyramidals_48[34].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.32221377), syn_SmallNet_pyr_bask_AMPA_syn_inh[210], 0.0, 0.0, 1.0))") # Connection 211: 20, seg 0 (0.803542) -> 10, seg 1 (0.108070) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[211] = new AMPA_syn_inh(0.108070)") h("a_pyramidals_48[20].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.8035423), syn_SmallNet_pyr_bask_AMPA_syn_inh[211], 0.0, 0.0, 1.0))") # Connection 212: 38, seg 0 (0.155701) -> 10, seg 1 (0.775910) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[212] = new AMPA_syn_inh(0.775910)") h("a_pyramidals_48[38].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.1557011), syn_SmallNet_pyr_bask_AMPA_syn_inh[212], 0.0, 0.0, 1.0))") # Connection 213: 37, seg 0 (0.054697) -> 10, seg 1 (0.341069) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[213] = new AMPA_syn_inh(0.341069)") h("a_pyramidals_48[37].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.054697394), syn_SmallNet_pyr_bask_AMPA_syn_inh[213], 0.0, 0.0, 1.0))") # Connection 214: 15, seg 0 (0.023345) -> 10, seg 1 (0.592654) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[214] = new AMPA_syn_inh(0.592654)") h("a_pyramidals_48[15].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.023345113), syn_SmallNet_pyr_bask_AMPA_syn_inh[214], 0.0, 0.0, 1.0))") # Connection 215: 1, seg 0 (0.163470) -> 10, seg 1 (0.327088) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[215] = new AMPA_syn_inh(0.327088)") h("a_pyramidals_48[1].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.16346979), syn_SmallNet_pyr_bask_AMPA_syn_inh[215], 0.0, 0.0, 1.0))") # Connection 216: 39, seg 0 (0.604893) -> 10, seg 1 (0.071543) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[216] = new AMPA_syn_inh(0.071543)") h("a_pyramidals_48[39].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.60489345), syn_SmallNet_pyr_bask_AMPA_syn_inh[216], 0.0, 0.0, 1.0))") # Connection 217: 15, seg 0 (0.251072) -> 10, seg 1 (0.487077) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[217] = new AMPA_syn_inh(0.487077)") h("a_pyramidals_48[15].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.25107235), syn_SmallNet_pyr_bask_AMPA_syn_inh[217], 0.0, 0.0, 1.0))") # Connection 218: 44, seg 0 (0.817714) -> 10, seg 1 (0.258986) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[218] = new AMPA_syn_inh(0.258986)") h("a_pyramidals_48[44].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.8177141), syn_SmallNet_pyr_bask_AMPA_syn_inh[218], 0.0, 0.0, 1.0))") # Connection 219: 42, seg 0 (0.747778) -> 10, seg 1 (0.275105) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[219] = new AMPA_syn_inh(0.275105)") h("a_pyramidals_48[42].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.74777824), syn_SmallNet_pyr_bask_AMPA_syn_inh[219], 0.0, 0.0, 1.0))") # Connection 220: 12, seg 0 (0.147831) -> 10, seg 1 (0.947634) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[220] = new AMPA_syn_inh(0.947634)") h("a_pyramidals_48[12].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.14783102), syn_SmallNet_pyr_bask_AMPA_syn_inh[220], 0.0, 0.0, 1.0))") # Connection 221: 34, seg 0 (0.200698) -> 10, seg 1 (0.802072) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[221] = new AMPA_syn_inh(0.802072)") h("a_pyramidals_48[34].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.20069796), syn_SmallNet_pyr_bask_AMPA_syn_inh[221], 0.0, 0.0, 1.0))") # Connection 222: 5, seg 0 (0.112682) -> 10, seg 1 (0.892953) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[222] = new AMPA_syn_inh(0.892953)") h("a_pyramidals_48[5].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.112681985), syn_SmallNet_pyr_bask_AMPA_syn_inh[222], 0.0, 0.0, 1.0))") # Connection 223: 45, seg 0 (0.509180) -> 10, seg 1 (0.304640) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[223] = new AMPA_syn_inh(0.304640)") h("a_pyramidals_48[45].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.50918007), syn_SmallNet_pyr_bask_AMPA_syn_inh[223], 0.0, 0.0, 1.0))") # Connection 224: 19, seg 0 (0.630021) -> 10, seg 1 (0.351108) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[224] = new AMPA_syn_inh(0.351108)") h("a_pyramidals_48[19].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.6300208), syn_SmallNet_pyr_bask_AMPA_syn_inh[224], 0.0, 0.0, 1.0))") # Connection 225: 42, seg 0 (0.274068) -> 10, seg 1 (0.870640) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[225] = new AMPA_syn_inh(0.870640)") h("a_pyramidals_48[42].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.27406764), syn_SmallNet_pyr_bask_AMPA_syn_inh[225], 0.0, 0.0, 1.0))") # Connection 226: 11, seg 0 (0.450465) -> 10, seg 1 (0.099209) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[226] = new AMPA_syn_inh(0.099209)") h("a_pyramidals_48[11].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.45046455), syn_SmallNet_pyr_bask_AMPA_syn_inh[226], 0.0, 0.0, 1.0))") # Connection 227: 12, seg 0 (0.541827) -> 10, seg 1 (0.088998) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[227] = new AMPA_syn_inh(0.088998)") h("a_pyramidals_48[12].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.5418267), syn_SmallNet_pyr_bask_AMPA_syn_inh[227], 0.0, 0.0, 1.0))") # Connection 228: 26, seg 0 (0.869269) -> 10, seg 1 (0.408094) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[228] = new AMPA_syn_inh(0.408094)") h("a_pyramidals_48[26].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.8692691), syn_SmallNet_pyr_bask_AMPA_syn_inh[228], 0.0, 0.0, 1.0))") # Connection 229: 40, seg 0 (0.844818) -> 10, seg 1 (0.674184) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[229] = new AMPA_syn_inh(0.674184)") h("a_pyramidals_48[40].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.8448175), syn_SmallNet_pyr_bask_AMPA_syn_inh[229], 0.0, 0.0, 1.0))") # Connection 230: 38, seg 0 (0.411263) -> 10, seg 1 (0.892711) h("a_baskets_12[10].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[230] = new AMPA_syn_inh(0.892711)") h("a_pyramidals_48[38].soma a_baskets_12[10].synlist.append(new NetCon(&v(0.41126305), syn_SmallNet_pyr_bask_AMPA_syn_inh[230], 0.0, 0.0, 1.0))") # Connection 231: 11, seg 0 (0.923626) -> 11, seg 1 (0.748485) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[231] = new AMPA_syn_inh(0.748485)") h("a_pyramidals_48[11].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.923626), syn_SmallNet_pyr_bask_AMPA_syn_inh[231], 0.0, 0.0, 1.0))") # Connection 232: 32, seg 0 (0.202525) -> 11, seg 1 (0.461127) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[232] = new AMPA_syn_inh(0.461127)") h("a_pyramidals_48[32].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.20252454), syn_SmallNet_pyr_bask_AMPA_syn_inh[232], 0.0, 0.0, 1.0))") # Connection 233: 10, seg 0 (0.152234) -> 11, seg 1 (0.945479) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[233] = new AMPA_syn_inh(0.945479)") h("a_pyramidals_48[10].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.15223426), syn_SmallNet_pyr_bask_AMPA_syn_inh[233], 0.0, 0.0, 1.0))") # Connection 234: 0, seg 0 (0.090780) -> 11, seg 1 (0.463695) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[234] = new AMPA_syn_inh(0.463695)") h("a_pyramidals_48[0].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.09077996), syn_SmallNet_pyr_bask_AMPA_syn_inh[234], 0.0, 0.0, 1.0))") # Connection 235: 10, seg 0 (0.363645) -> 11, seg 1 (0.307516) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[235] = new AMPA_syn_inh(0.307516)") h("a_pyramidals_48[10].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.3636455), syn_SmallNet_pyr_bask_AMPA_syn_inh[235], 0.0, 0.0, 1.0))") # Connection 236: 18, seg 0 (0.298309) -> 11, seg 1 (0.126051) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[236] = new AMPA_syn_inh(0.126051)") h("a_pyramidals_48[18].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.29830897), syn_SmallNet_pyr_bask_AMPA_syn_inh[236], 0.0, 0.0, 1.0))") # Connection 237: 17, seg 0 (0.002077) -> 11, seg 1 (0.157572) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[237] = new AMPA_syn_inh(0.157572)") h("a_pyramidals_48[17].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.0020766854), syn_SmallNet_pyr_bask_AMPA_syn_inh[237], 0.0, 0.0, 1.0))") # Connection 238: 18, seg 0 (0.277125) -> 11, seg 1 (0.768249) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[238] = new AMPA_syn_inh(0.768249)") h("a_pyramidals_48[18].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.27712512), syn_SmallNet_pyr_bask_AMPA_syn_inh[238], 0.0, 0.0, 1.0))") # Connection 239: 27, seg 0 (0.476465) -> 11, seg 1 (0.119692) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[239] = new AMPA_syn_inh(0.119692)") h("a_pyramidals_48[27].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.47646457), syn_SmallNet_pyr_bask_AMPA_syn_inh[239], 0.0, 0.0, 1.0))") # Connection 240: 7, seg 0 (0.226403) -> 11, seg 1 (0.138409) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[240] = new AMPA_syn_inh(0.138409)") h("a_pyramidals_48[7].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.22640294), syn_SmallNet_pyr_bask_AMPA_syn_inh[240], 0.0, 0.0, 1.0))") # Connection 241: 19, seg 0 (0.925217) -> 11, seg 1 (0.440934) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[241] = new AMPA_syn_inh(0.440934)") h("a_pyramidals_48[19].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.92521685), syn_SmallNet_pyr_bask_AMPA_syn_inh[241], 0.0, 0.0, 1.0))") # Connection 242: 6, seg 0 (0.318544) -> 11, seg 1 (0.424474) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[242] = new AMPA_syn_inh(0.424474)") h("a_pyramidals_48[6].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.31854433), syn_SmallNet_pyr_bask_AMPA_syn_inh[242], 0.0, 0.0, 1.0))") # Connection 243: 5, seg 0 (0.739033) -> 11, seg 1 (0.929529) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[243] = new AMPA_syn_inh(0.929529)") h("a_pyramidals_48[5].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.7390334), syn_SmallNet_pyr_bask_AMPA_syn_inh[243], 0.0, 0.0, 1.0))") # Connection 244: 33, seg 0 (0.313017) -> 11, seg 1 (0.548774) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[244] = new AMPA_syn_inh(0.548774)") h("a_pyramidals_48[33].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.31301737), syn_SmallNet_pyr_bask_AMPA_syn_inh[244], 0.0, 0.0, 1.0))") # Connection 245: 23, seg 0 (0.660571) -> 11, seg 1 (0.665498) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[245] = new AMPA_syn_inh(0.665498)") h("a_pyramidals_48[23].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.6605705), syn_SmallNet_pyr_bask_AMPA_syn_inh[245], 0.0, 0.0, 1.0))") # Connection 246: 1, seg 0 (0.706519) -> 11, seg 1 (0.562126) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[246] = new AMPA_syn_inh(0.562126)") h("a_pyramidals_48[1].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.7065194), syn_SmallNet_pyr_bask_AMPA_syn_inh[246], 0.0, 0.0, 1.0))") # Connection 247: 14, seg 0 (0.277137) -> 11, seg 1 (0.492043) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[247] = new AMPA_syn_inh(0.492043)") h("a_pyramidals_48[14].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.27713716), syn_SmallNet_pyr_bask_AMPA_syn_inh[247], 0.0, 0.0, 1.0))") # Connection 248: 25, seg 0 (0.554438) -> 11, seg 1 (0.783982) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[248] = new AMPA_syn_inh(0.783982)") h("a_pyramidals_48[25].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.5544384), syn_SmallNet_pyr_bask_AMPA_syn_inh[248], 0.0, 0.0, 1.0))") # Connection 249: 8, seg 0 (0.445815) -> 11, seg 1 (0.195738) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[249] = new AMPA_syn_inh(0.195738)") h("a_pyramidals_48[8].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.44581532), syn_SmallNet_pyr_bask_AMPA_syn_inh[249], 0.0, 0.0, 1.0))") # Connection 250: 4, seg 0 (0.349567) -> 11, seg 1 (0.641190) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[250] = new AMPA_syn_inh(0.641190)") h("a_pyramidals_48[4].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.34956664), syn_SmallNet_pyr_bask_AMPA_syn_inh[250], 0.0, 0.0, 1.0))") # Connection 251: 14, seg 0 (0.504711) -> 11, seg 1 (0.497331) h("a_baskets_12[11].dend syn_SmallNet_pyr_bask_AMPA_syn_inh[251] = new AMPA_syn_inh(0.497331)") h("a_pyramidals_48[14].soma a_baskets_12[11].synlist.append(new NetCon(&v(0.50471133), syn_SmallNet_pyr_bask_AMPA_syn_inh[251], 0.0, 0.0, 1.0))") # Adding input: Component(id=0 type=input) h("objectvar BackgroundRandomIClamps_0") h("a_pyramidals_48[37].soma { BackgroundRandomIClamps_0 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=1 type=input) h("objectvar BackgroundRandomIClamps_1") h("a_pyramidals_48[35].soma { BackgroundRandomIClamps_1 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=2 type=input) h("objectvar BackgroundRandomIClamps_2") h("a_pyramidals_48[28].soma { BackgroundRandomIClamps_2 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=3 type=input) h("objectvar BackgroundRandomIClamps_3") h("a_pyramidals_48[5].soma { BackgroundRandomIClamps_3 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=4 type=input) h("objectvar BackgroundRandomIClamps_4") h("a_pyramidals_48[20].soma { BackgroundRandomIClamps_4 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=5 type=input) h("objectvar BackgroundRandomIClamps_5") h("a_pyramidals_48[19].soma { BackgroundRandomIClamps_5 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=6 type=input) h("objectvar BackgroundRandomIClamps_6") h("a_pyramidals_48[0].soma { BackgroundRandomIClamps_6 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=7 type=input) h("objectvar BackgroundRandomIClamps_7") h("a_pyramidals_48[38].soma { BackgroundRandomIClamps_7 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=8 type=input) h("objectvar BackgroundRandomIClamps_8") h("a_pyramidals_48[1].soma { BackgroundRandomIClamps_8 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=9 type=input) h("objectvar BackgroundRandomIClamps_9") h("a_pyramidals_48[7].soma { BackgroundRandomIClamps_9 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=10 type=input) h("objectvar BackgroundRandomIClamps_10") h("a_pyramidals_48[3].soma { BackgroundRandomIClamps_10 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=11 type=input) h("objectvar BackgroundRandomIClamps_11") h("a_pyramidals_48[11].soma { BackgroundRandomIClamps_11 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=12 type=input) h("objectvar BackgroundRandomIClamps_12") h("a_pyramidals_48[21].soma { BackgroundRandomIClamps_12 = new BackgroundRandomIClamps(0.500000) } ") # Adding input: Component(id=13 type=input) h("objectvar BackgroundRandomIClamps_13") h("a_pyramidals_48[15].soma { BackgroundRandomIClamps_13 = new BackgroundRandomIClamps(0.500000) } ") trec = h.Vector() trec.record(h._ref_t) h.tstop = 300.0 h.dt = 0.01 h.steps_per_ms = 100.0 # File to save: outputFile16 # Column: pyramidals_48/16/pyr_4_sym/3/v h(' objectvar v_v_outputFile16 ') h(' { v_v_outputFile16 = new Vector() } ') h(' v_v_outputFile16.record(&a_pyramidals_48[16].apical3.v(0.5)) ') h.v_v_outputFile16.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/3/v h(' objectvar v_v_outputFile16_ ') h(' { v_v_outputFile16_ = new Vector() } ') h(' v_v_outputFile16_.record(&a_pyramidals_48[17].apical3.v(0.5)) ') h.v_v_outputFile16_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/3/v h(' objectvar v_v_outputFile16__ ') h(' { v_v_outputFile16__ = new Vector() } ') h(' v_v_outputFile16__.record(&a_pyramidals_48[18].apical3.v(0.5)) ') h.v_v_outputFile16__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/3/v h(' objectvar v_v_outputFile16___ ') h(' { v_v_outputFile16___ = new Vector() } ') h(' v_v_outputFile16___.record(&a_pyramidals_48[19].apical3.v(0.5)) ') h.v_v_outputFile16___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/3/v h(' objectvar v_v_outputFile16____ ') h(' { v_v_outputFile16____ = new Vector() } ') h(' v_v_outputFile16____.record(&a_pyramidals_48[20].apical3.v(0.5)) ') h.v_v_outputFile16____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/3/v h(' objectvar v_v_outputFile16_____ ') h(' { v_v_outputFile16_____ = new Vector() } ') h(' v_v_outputFile16_____.record(&a_pyramidals_48[21].apical3.v(0.5)) ') h.v_v_outputFile16_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/3/v h(' objectvar v_v_outputFile16______ ') h(' { v_v_outputFile16______ = new Vector() } ') h(' v_v_outputFile16______.record(&a_pyramidals_48[22].apical3.v(0.5)) ') h.v_v_outputFile16______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/3/v h(' objectvar v_v_outputFile16_______ ') h(' { v_v_outputFile16_______ = new Vector() } ') h(' v_v_outputFile16_______.record(&a_pyramidals_48[23].apical3.v(0.5)) ') h.v_v_outputFile16_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/3/v h(' objectvar v_v_outputFile16________ ') h(' { v_v_outputFile16________ = new Vector() } ') h(' v_v_outputFile16________.record(&a_pyramidals_48[24].apical3.v(0.5)) ') h.v_v_outputFile16________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/3/v h(' objectvar v_v_outputFile16_________ ') h(' { v_v_outputFile16_________ = new Vector() } ') h(' v_v_outputFile16_________.record(&a_pyramidals_48[25].apical3.v(0.5)) ') h.v_v_outputFile16_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile17 # Column: pyramidals_48/26/pyr_4_sym/3/v h(' objectvar v_v_outputFile17 ') h(' { v_v_outputFile17 = new Vector() } ') h(' v_v_outputFile17.record(&a_pyramidals_48[26].apical3.v(0.5)) ') h.v_v_outputFile17.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/3/v h(' objectvar v_v_outputFile17_ ') h(' { v_v_outputFile17_ = new Vector() } ') h(' v_v_outputFile17_.record(&a_pyramidals_48[27].apical3.v(0.5)) ') h.v_v_outputFile17_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/3/v h(' objectvar v_v_outputFile17__ ') h(' { v_v_outputFile17__ = new Vector() } ') h(' v_v_outputFile17__.record(&a_pyramidals_48[28].apical3.v(0.5)) ') h.v_v_outputFile17__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/3/v h(' objectvar v_v_outputFile17___ ') h(' { v_v_outputFile17___ = new Vector() } ') h(' v_v_outputFile17___.record(&a_pyramidals_48[29].apical3.v(0.5)) ') h.v_v_outputFile17___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/3/v h(' objectvar v_v_outputFile17____ ') h(' { v_v_outputFile17____ = new Vector() } ') h(' v_v_outputFile17____.record(&a_pyramidals_48[30].apical3.v(0.5)) ') h.v_v_outputFile17____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/3/v h(' objectvar v_v_outputFile17_____ ') h(' { v_v_outputFile17_____ = new Vector() } ') h(' v_v_outputFile17_____.record(&a_pyramidals_48[31].apical3.v(0.5)) ') h.v_v_outputFile17_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/3/v h(' objectvar v_v_outputFile17______ ') h(' { v_v_outputFile17______ = new Vector() } ') h(' v_v_outputFile17______.record(&a_pyramidals_48[32].apical3.v(0.5)) ') h.v_v_outputFile17______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/3/v h(' objectvar v_v_outputFile17_______ ') h(' { v_v_outputFile17_______ = new Vector() } ') h(' v_v_outputFile17_______.record(&a_pyramidals_48[33].apical3.v(0.5)) ') h.v_v_outputFile17_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/3/v h(' objectvar v_v_outputFile17________ ') h(' { v_v_outputFile17________ = new Vector() } ') h(' v_v_outputFile17________.record(&a_pyramidals_48[34].apical3.v(0.5)) ') h.v_v_outputFile17________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/3/v h(' objectvar v_v_outputFile17_________ ') h(' { v_v_outputFile17_________ = new Vector() } ') h(' v_v_outputFile17_________.record(&a_pyramidals_48[35].apical3.v(0.5)) ') h.v_v_outputFile17_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile14 # Column: pyramidals_48/44/pyr_4_sym/2/v h(' objectvar v_v_outputFile14 ') h(' { v_v_outputFile14 = new Vector() } ') h(' v_v_outputFile14.record(&a_pyramidals_48[44].apical2.v(0.5)) ') h.v_v_outputFile14.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/2/v h(' objectvar v_v_outputFile14_ ') h(' { v_v_outputFile14_ = new Vector() } ') h(' v_v_outputFile14_.record(&a_pyramidals_48[45].apical2.v(0.5)) ') h.v_v_outputFile14_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/2/v h(' objectvar v_v_outputFile14__ ') h(' { v_v_outputFile14__ = new Vector() } ') h(' v_v_outputFile14__.record(&a_pyramidals_48[46].apical2.v(0.5)) ') h.v_v_outputFile14__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/2/v h(' objectvar v_v_outputFile14___ ') h(' { v_v_outputFile14___ = new Vector() } ') h(' v_v_outputFile14___.record(&a_pyramidals_48[47].apical2.v(0.5)) ') h.v_v_outputFile14___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/3/v h(' objectvar v_v_outputFile14____ ') h(' { v_v_outputFile14____ = new Vector() } ') h(' v_v_outputFile14____.record(&a_pyramidals_48[0].apical3.v(0.5)) ') h.v_v_outputFile14____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/3/v h(' objectvar v_v_outputFile14_____ ') h(' { v_v_outputFile14_____ = new Vector() } ') h(' v_v_outputFile14_____.record(&a_pyramidals_48[1].apical3.v(0.5)) ') h.v_v_outputFile14_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/3/v h(' objectvar v_v_outputFile14______ ') h(' { v_v_outputFile14______ = new Vector() } ') h(' v_v_outputFile14______.record(&a_pyramidals_48[2].apical3.v(0.5)) ') h.v_v_outputFile14______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/3/v h(' objectvar v_v_outputFile14_______ ') h(' { v_v_outputFile14_______ = new Vector() } ') h(' v_v_outputFile14_______.record(&a_pyramidals_48[3].apical3.v(0.5)) ') h.v_v_outputFile14_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/3/v h(' objectvar v_v_outputFile14________ ') h(' { v_v_outputFile14________ = new Vector() } ') h(' v_v_outputFile14________.record(&a_pyramidals_48[4].apical3.v(0.5)) ') h.v_v_outputFile14________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/3/v h(' objectvar v_v_outputFile14_________ ') h(' { v_v_outputFile14_________ = new Vector() } ') h(' v_v_outputFile14_________.record(&a_pyramidals_48[5].apical3.v(0.5)) ') h.v_v_outputFile14_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile15 # Column: pyramidals_48/6/pyr_4_sym/3/v h(' objectvar v_v_outputFile15 ') h(' { v_v_outputFile15 = new Vector() } ') h(' v_v_outputFile15.record(&a_pyramidals_48[6].apical3.v(0.5)) ') h.v_v_outputFile15.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/3/v h(' objectvar v_v_outputFile15_ ') h(' { v_v_outputFile15_ = new Vector() } ') h(' v_v_outputFile15_.record(&a_pyramidals_48[7].apical3.v(0.5)) ') h.v_v_outputFile15_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/3/v h(' objectvar v_v_outputFile15__ ') h(' { v_v_outputFile15__ = new Vector() } ') h(' v_v_outputFile15__.record(&a_pyramidals_48[8].apical3.v(0.5)) ') h.v_v_outputFile15__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/3/v h(' objectvar v_v_outputFile15___ ') h(' { v_v_outputFile15___ = new Vector() } ') h(' v_v_outputFile15___.record(&a_pyramidals_48[9].apical3.v(0.5)) ') h.v_v_outputFile15___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/3/v h(' objectvar v_v_outputFile15____ ') h(' { v_v_outputFile15____ = new Vector() } ') h(' v_v_outputFile15____.record(&a_pyramidals_48[10].apical3.v(0.5)) ') h.v_v_outputFile15____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/3/v h(' objectvar v_v_outputFile15_____ ') h(' { v_v_outputFile15_____ = new Vector() } ') h(' v_v_outputFile15_____.record(&a_pyramidals_48[11].apical3.v(0.5)) ') h.v_v_outputFile15_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/3/v h(' objectvar v_v_outputFile15______ ') h(' { v_v_outputFile15______ = new Vector() } ') h(' v_v_outputFile15______.record(&a_pyramidals_48[12].apical3.v(0.5)) ') h.v_v_outputFile15______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/3/v h(' objectvar v_v_outputFile15_______ ') h(' { v_v_outputFile15_______ = new Vector() } ') h(' v_v_outputFile15_______.record(&a_pyramidals_48[13].apical3.v(0.5)) ') h.v_v_outputFile15_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/3/v h(' objectvar v_v_outputFile15________ ') h(' { v_v_outputFile15________ = new Vector() } ') h(' v_v_outputFile15________.record(&a_pyramidals_48[14].apical3.v(0.5)) ') h.v_v_outputFile15________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/3/v h(' objectvar v_v_outputFile15_________ ') h(' { v_v_outputFile15_________ = new Vector() } ') h(' v_v_outputFile15_________.record(&a_pyramidals_48[15].apical3.v(0.5)) ') h.v_v_outputFile15_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile38 # Column: pyramidals_48/44/pyr_4_sym/7/v h(' objectvar v_v_outputFile38 ') h(' { v_v_outputFile38 = new Vector() } ') h(' v_v_outputFile38.record(&a_pyramidals_48[44].basal1.v(0.5)) ') h.v_v_outputFile38.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/7/v h(' objectvar v_v_outputFile38_ ') h(' { v_v_outputFile38_ = new Vector() } ') h(' v_v_outputFile38_.record(&a_pyramidals_48[45].basal1.v(0.5)) ') h.v_v_outputFile38_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/7/v h(' objectvar v_v_outputFile38__ ') h(' { v_v_outputFile38__ = new Vector() } ') h(' v_v_outputFile38__.record(&a_pyramidals_48[46].basal1.v(0.5)) ') h.v_v_outputFile38__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/7/v h(' objectvar v_v_outputFile38___ ') h(' { v_v_outputFile38___ = new Vector() } ') h(' v_v_outputFile38___.record(&a_pyramidals_48[47].basal1.v(0.5)) ') h.v_v_outputFile38___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/8/v h(' objectvar v_v_outputFile38____ ') h(' { v_v_outputFile38____ = new Vector() } ') h(' v_v_outputFile38____.record(&a_pyramidals_48[0].basal2.v(0.5)) ') h.v_v_outputFile38____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/8/v h(' objectvar v_v_outputFile38_____ ') h(' { v_v_outputFile38_____ = new Vector() } ') h(' v_v_outputFile38_____.record(&a_pyramidals_48[1].basal2.v(0.5)) ') h.v_v_outputFile38_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/8/v h(' objectvar v_v_outputFile38______ ') h(' { v_v_outputFile38______ = new Vector() } ') h(' v_v_outputFile38______.record(&a_pyramidals_48[2].basal2.v(0.5)) ') h.v_v_outputFile38______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/8/v h(' objectvar v_v_outputFile38_______ ') h(' { v_v_outputFile38_______ = new Vector() } ') h(' v_v_outputFile38_______.record(&a_pyramidals_48[3].basal2.v(0.5)) ') h.v_v_outputFile38_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/8/v h(' objectvar v_v_outputFile38________ ') h(' { v_v_outputFile38________ = new Vector() } ') h(' v_v_outputFile38________.record(&a_pyramidals_48[4].basal2.v(0.5)) ') h.v_v_outputFile38________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/8/v h(' objectvar v_v_outputFile38_________ ') h(' { v_v_outputFile38_________ = new Vector() } ') h(' v_v_outputFile38_________.record(&a_pyramidals_48[5].basal2.v(0.5)) ') h.v_v_outputFile38_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile39 # Column: pyramidals_48/6/pyr_4_sym/8/v h(' objectvar v_v_outputFile39 ') h(' { v_v_outputFile39 = new Vector() } ') h(' v_v_outputFile39.record(&a_pyramidals_48[6].basal2.v(0.5)) ') h.v_v_outputFile39.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/8/v h(' objectvar v_v_outputFile39_ ') h(' { v_v_outputFile39_ = new Vector() } ') h(' v_v_outputFile39_.record(&a_pyramidals_48[7].basal2.v(0.5)) ') h.v_v_outputFile39_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/8/v h(' objectvar v_v_outputFile39__ ') h(' { v_v_outputFile39__ = new Vector() } ') h(' v_v_outputFile39__.record(&a_pyramidals_48[8].basal2.v(0.5)) ') h.v_v_outputFile39__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/8/v h(' objectvar v_v_outputFile39___ ') h(' { v_v_outputFile39___ = new Vector() } ') h(' v_v_outputFile39___.record(&a_pyramidals_48[9].basal2.v(0.5)) ') h.v_v_outputFile39___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/8/v h(' objectvar v_v_outputFile39____ ') h(' { v_v_outputFile39____ = new Vector() } ') h(' v_v_outputFile39____.record(&a_pyramidals_48[10].basal2.v(0.5)) ') h.v_v_outputFile39____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/8/v h(' objectvar v_v_outputFile39_____ ') h(' { v_v_outputFile39_____ = new Vector() } ') h(' v_v_outputFile39_____.record(&a_pyramidals_48[11].basal2.v(0.5)) ') h.v_v_outputFile39_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/8/v h(' objectvar v_v_outputFile39______ ') h(' { v_v_outputFile39______ = new Vector() } ') h(' v_v_outputFile39______.record(&a_pyramidals_48[12].basal2.v(0.5)) ') h.v_v_outputFile39______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/8/v h(' objectvar v_v_outputFile39_______ ') h(' { v_v_outputFile39_______ = new Vector() } ') h(' v_v_outputFile39_______.record(&a_pyramidals_48[13].basal2.v(0.5)) ') h.v_v_outputFile39_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/8/v h(' objectvar v_v_outputFile39________ ') h(' { v_v_outputFile39________ = new Vector() } ') h(' v_v_outputFile39________.record(&a_pyramidals_48[14].basal2.v(0.5)) ') h.v_v_outputFile39________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/8/v h(' objectvar v_v_outputFile39_________ ') h(' { v_v_outputFile39_________ = new Vector() } ') h(' v_v_outputFile39_________.record(&a_pyramidals_48[15].basal2.v(0.5)) ') h.v_v_outputFile39_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile36 # Column: pyramidals_48/24/pyr_4_sym/7/v h(' objectvar v_v_outputFile36 ') h(' { v_v_outputFile36 = new Vector() } ') h(' v_v_outputFile36.record(&a_pyramidals_48[24].basal1.v(0.5)) ') h.v_v_outputFile36.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/7/v h(' objectvar v_v_outputFile36_ ') h(' { v_v_outputFile36_ = new Vector() } ') h(' v_v_outputFile36_.record(&a_pyramidals_48[25].basal1.v(0.5)) ') h.v_v_outputFile36_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/7/v h(' objectvar v_v_outputFile36__ ') h(' { v_v_outputFile36__ = new Vector() } ') h(' v_v_outputFile36__.record(&a_pyramidals_48[26].basal1.v(0.5)) ') h.v_v_outputFile36__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/7/v h(' objectvar v_v_outputFile36___ ') h(' { v_v_outputFile36___ = new Vector() } ') h(' v_v_outputFile36___.record(&a_pyramidals_48[27].basal1.v(0.5)) ') h.v_v_outputFile36___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/7/v h(' objectvar v_v_outputFile36____ ') h(' { v_v_outputFile36____ = new Vector() } ') h(' v_v_outputFile36____.record(&a_pyramidals_48[28].basal1.v(0.5)) ') h.v_v_outputFile36____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/7/v h(' objectvar v_v_outputFile36_____ ') h(' { v_v_outputFile36_____ = new Vector() } ') h(' v_v_outputFile36_____.record(&a_pyramidals_48[29].basal1.v(0.5)) ') h.v_v_outputFile36_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/7/v h(' objectvar v_v_outputFile36______ ') h(' { v_v_outputFile36______ = new Vector() } ') h(' v_v_outputFile36______.record(&a_pyramidals_48[30].basal1.v(0.5)) ') h.v_v_outputFile36______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/7/v h(' objectvar v_v_outputFile36_______ ') h(' { v_v_outputFile36_______ = new Vector() } ') h(' v_v_outputFile36_______.record(&a_pyramidals_48[31].basal1.v(0.5)) ') h.v_v_outputFile36_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/7/v h(' objectvar v_v_outputFile36________ ') h(' { v_v_outputFile36________ = new Vector() } ') h(' v_v_outputFile36________.record(&a_pyramidals_48[32].basal1.v(0.5)) ') h.v_v_outputFile36________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/7/v h(' objectvar v_v_outputFile36_________ ') h(' { v_v_outputFile36_________ = new Vector() } ') h(' v_v_outputFile36_________.record(&a_pyramidals_48[33].basal1.v(0.5)) ') h.v_v_outputFile36_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile18 # Column: pyramidals_48/36/pyr_4_sym/3/v h(' objectvar v_v_outputFile18 ') h(' { v_v_outputFile18 = new Vector() } ') h(' v_v_outputFile18.record(&a_pyramidals_48[36].apical3.v(0.5)) ') h.v_v_outputFile18.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/3/v h(' objectvar v_v_outputFile18_ ') h(' { v_v_outputFile18_ = new Vector() } ') h(' v_v_outputFile18_.record(&a_pyramidals_48[37].apical3.v(0.5)) ') h.v_v_outputFile18_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/3/v h(' objectvar v_v_outputFile18__ ') h(' { v_v_outputFile18__ = new Vector() } ') h(' v_v_outputFile18__.record(&a_pyramidals_48[38].apical3.v(0.5)) ') h.v_v_outputFile18__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/3/v h(' objectvar v_v_outputFile18___ ') h(' { v_v_outputFile18___ = new Vector() } ') h(' v_v_outputFile18___.record(&a_pyramidals_48[39].apical3.v(0.5)) ') h.v_v_outputFile18___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/3/v h(' objectvar v_v_outputFile18____ ') h(' { v_v_outputFile18____ = new Vector() } ') h(' v_v_outputFile18____.record(&a_pyramidals_48[40].apical3.v(0.5)) ') h.v_v_outputFile18____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/3/v h(' objectvar v_v_outputFile18_____ ') h(' { v_v_outputFile18_____ = new Vector() } ') h(' v_v_outputFile18_____.record(&a_pyramidals_48[41].apical3.v(0.5)) ') h.v_v_outputFile18_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/3/v h(' objectvar v_v_outputFile18______ ') h(' { v_v_outputFile18______ = new Vector() } ') h(' v_v_outputFile18______.record(&a_pyramidals_48[42].apical3.v(0.5)) ') h.v_v_outputFile18______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/3/v h(' objectvar v_v_outputFile18_______ ') h(' { v_v_outputFile18_______ = new Vector() } ') h(' v_v_outputFile18_______.record(&a_pyramidals_48[43].apical3.v(0.5)) ') h.v_v_outputFile18_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/3/v h(' objectvar v_v_outputFile18________ ') h(' { v_v_outputFile18________ = new Vector() } ') h(' v_v_outputFile18________.record(&a_pyramidals_48[44].apical3.v(0.5)) ') h.v_v_outputFile18________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/3/v h(' objectvar v_v_outputFile18_________ ') h(' { v_v_outputFile18_________ = new Vector() } ') h(' v_v_outputFile18_________.record(&a_pyramidals_48[45].apical3.v(0.5)) ') h.v_v_outputFile18_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile37 # Column: pyramidals_48/34/pyr_4_sym/7/v h(' objectvar v_v_outputFile37 ') h(' { v_v_outputFile37 = new Vector() } ') h(' v_v_outputFile37.record(&a_pyramidals_48[34].basal1.v(0.5)) ') h.v_v_outputFile37.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/7/v h(' objectvar v_v_outputFile37_ ') h(' { v_v_outputFile37_ = new Vector() } ') h(' v_v_outputFile37_.record(&a_pyramidals_48[35].basal1.v(0.5)) ') h.v_v_outputFile37_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/7/v h(' objectvar v_v_outputFile37__ ') h(' { v_v_outputFile37__ = new Vector() } ') h(' v_v_outputFile37__.record(&a_pyramidals_48[36].basal1.v(0.5)) ') h.v_v_outputFile37__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/7/v h(' objectvar v_v_outputFile37___ ') h(' { v_v_outputFile37___ = new Vector() } ') h(' v_v_outputFile37___.record(&a_pyramidals_48[37].basal1.v(0.5)) ') h.v_v_outputFile37___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/7/v h(' objectvar v_v_outputFile37____ ') h(' { v_v_outputFile37____ = new Vector() } ') h(' v_v_outputFile37____.record(&a_pyramidals_48[38].basal1.v(0.5)) ') h.v_v_outputFile37____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/7/v h(' objectvar v_v_outputFile37_____ ') h(' { v_v_outputFile37_____ = new Vector() } ') h(' v_v_outputFile37_____.record(&a_pyramidals_48[39].basal1.v(0.5)) ') h.v_v_outputFile37_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/7/v h(' objectvar v_v_outputFile37______ ') h(' { v_v_outputFile37______ = new Vector() } ') h(' v_v_outputFile37______.record(&a_pyramidals_48[40].basal1.v(0.5)) ') h.v_v_outputFile37______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/7/v h(' objectvar v_v_outputFile37_______ ') h(' { v_v_outputFile37_______ = new Vector() } ') h(' v_v_outputFile37_______.record(&a_pyramidals_48[41].basal1.v(0.5)) ') h.v_v_outputFile37_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/7/v h(' objectvar v_v_outputFile37________ ') h(' { v_v_outputFile37________ = new Vector() } ') h(' v_v_outputFile37________.record(&a_pyramidals_48[42].basal1.v(0.5)) ') h.v_v_outputFile37________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/7/v h(' objectvar v_v_outputFile37_________ ') h(' { v_v_outputFile37_________ = new Vector() } ') h(' v_v_outputFile37_________.record(&a_pyramidals_48[43].basal1.v(0.5)) ') h.v_v_outputFile37_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile19 # Column: pyramidals_48/46/pyr_4_sym/3/v h(' objectvar v_v_outputFile19 ') h(' { v_v_outputFile19 = new Vector() } ') h(' v_v_outputFile19.record(&a_pyramidals_48[46].apical3.v(0.5)) ') h.v_v_outputFile19.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/3/v h(' objectvar v_v_outputFile19_ ') h(' { v_v_outputFile19_ = new Vector() } ') h(' v_v_outputFile19_.record(&a_pyramidals_48[47].apical3.v(0.5)) ') h.v_v_outputFile19_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/4/v h(' objectvar v_v_outputFile19__ ') h(' { v_v_outputFile19__ = new Vector() } ') h(' v_v_outputFile19__.record(&a_pyramidals_48[0].apical4.v(0.5)) ') h.v_v_outputFile19__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/4/v h(' objectvar v_v_outputFile19___ ') h(' { v_v_outputFile19___ = new Vector() } ') h(' v_v_outputFile19___.record(&a_pyramidals_48[1].apical4.v(0.5)) ') h.v_v_outputFile19___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/4/v h(' objectvar v_v_outputFile19____ ') h(' { v_v_outputFile19____ = new Vector() } ') h(' v_v_outputFile19____.record(&a_pyramidals_48[2].apical4.v(0.5)) ') h.v_v_outputFile19____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/4/v h(' objectvar v_v_outputFile19_____ ') h(' { v_v_outputFile19_____ = new Vector() } ') h(' v_v_outputFile19_____.record(&a_pyramidals_48[3].apical4.v(0.5)) ') h.v_v_outputFile19_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/4/v h(' objectvar v_v_outputFile19______ ') h(' { v_v_outputFile19______ = new Vector() } ') h(' v_v_outputFile19______.record(&a_pyramidals_48[4].apical4.v(0.5)) ') h.v_v_outputFile19______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/4/v h(' objectvar v_v_outputFile19_______ ') h(' { v_v_outputFile19_______ = new Vector() } ') h(' v_v_outputFile19_______.record(&a_pyramidals_48[5].apical4.v(0.5)) ') h.v_v_outputFile19_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/4/v h(' objectvar v_v_outputFile19________ ') h(' { v_v_outputFile19________ = new Vector() } ') h(' v_v_outputFile19________.record(&a_pyramidals_48[6].apical4.v(0.5)) ') h.v_v_outputFile19________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/4/v h(' objectvar v_v_outputFile19_________ ') h(' { v_v_outputFile19_________ = new Vector() } ') h(' v_v_outputFile19_________.record(&a_pyramidals_48[7].apical4.v(0.5)) ') h.v_v_outputFile19_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: time # Column: time h(' objectvar v_time ') h(' { v_time = new Vector() } ') h(' v_time.record(&t) ') h.v_time.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile0 # Column: pyramidals_48/0/pyr_4_sym/0/v h(' objectvar v_v_outputFile0 ') h(' { v_v_outputFile0 = new Vector() } ') h(' v_v_outputFile0.record(&a_pyramidals_48[0].soma.v(0.5)) ') h.v_v_outputFile0.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/0/v h(' objectvar v_v_outputFile0_ ') h(' { v_v_outputFile0_ = new Vector() } ') h(' v_v_outputFile0_.record(&a_pyramidals_48[1].soma.v(0.5)) ') h.v_v_outputFile0_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/0/v h(' objectvar v_v_outputFile0__ ') h(' { v_v_outputFile0__ = new Vector() } ') h(' v_v_outputFile0__.record(&a_pyramidals_48[2].soma.v(0.5)) ') h.v_v_outputFile0__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/0/v h(' objectvar v_v_outputFile0___ ') h(' { v_v_outputFile0___ = new Vector() } ') h(' v_v_outputFile0___.record(&a_pyramidals_48[3].soma.v(0.5)) ') h.v_v_outputFile0___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/0/v h(' objectvar v_v_outputFile0____ ') h(' { v_v_outputFile0____ = new Vector() } ') h(' v_v_outputFile0____.record(&a_pyramidals_48[4].soma.v(0.5)) ') h.v_v_outputFile0____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/0/v h(' objectvar v_v_outputFile0_____ ') h(' { v_v_outputFile0_____ = new Vector() } ') h(' v_v_outputFile0_____.record(&a_pyramidals_48[5].soma.v(0.5)) ') h.v_v_outputFile0_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/0/v h(' objectvar v_v_outputFile0______ ') h(' { v_v_outputFile0______ = new Vector() } ') h(' v_v_outputFile0______.record(&a_pyramidals_48[6].soma.v(0.5)) ') h.v_v_outputFile0______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/0/v h(' objectvar v_v_outputFile0_______ ') h(' { v_v_outputFile0_______ = new Vector() } ') h(' v_v_outputFile0_______.record(&a_pyramidals_48[7].soma.v(0.5)) ') h.v_v_outputFile0_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/0/v h(' objectvar v_v_outputFile0________ ') h(' { v_v_outputFile0________ = new Vector() } ') h(' v_v_outputFile0________.record(&a_pyramidals_48[8].soma.v(0.5)) ') h.v_v_outputFile0________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/0/v h(' objectvar v_v_outputFile0_________ ') h(' { v_v_outputFile0_________ = new Vector() } ') h(' v_v_outputFile0_________.record(&a_pyramidals_48[9].soma.v(0.5)) ') h.v_v_outputFile0_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile1 # Column: pyramidals_48/10/pyr_4_sym/0/v h(' objectvar v_v_outputFile1 ') h(' { v_v_outputFile1 = new Vector() } ') h(' v_v_outputFile1.record(&a_pyramidals_48[10].soma.v(0.5)) ') h.v_v_outputFile1.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/0/v h(' objectvar v_v_outputFile1_ ') h(' { v_v_outputFile1_ = new Vector() } ') h(' v_v_outputFile1_.record(&a_pyramidals_48[11].soma.v(0.5)) ') h.v_v_outputFile1_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/0/v h(' objectvar v_v_outputFile1__ ') h(' { v_v_outputFile1__ = new Vector() } ') h(' v_v_outputFile1__.record(&a_pyramidals_48[12].soma.v(0.5)) ') h.v_v_outputFile1__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/0/v h(' objectvar v_v_outputFile1___ ') h(' { v_v_outputFile1___ = new Vector() } ') h(' v_v_outputFile1___.record(&a_pyramidals_48[13].soma.v(0.5)) ') h.v_v_outputFile1___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/0/v h(' objectvar v_v_outputFile1____ ') h(' { v_v_outputFile1____ = new Vector() } ') h(' v_v_outputFile1____.record(&a_pyramidals_48[14].soma.v(0.5)) ') h.v_v_outputFile1____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/0/v h(' objectvar v_v_outputFile1_____ ') h(' { v_v_outputFile1_____ = new Vector() } ') h(' v_v_outputFile1_____.record(&a_pyramidals_48[15].soma.v(0.5)) ') h.v_v_outputFile1_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/0/v h(' objectvar v_v_outputFile1______ ') h(' { v_v_outputFile1______ = new Vector() } ') h(' v_v_outputFile1______.record(&a_pyramidals_48[16].soma.v(0.5)) ') h.v_v_outputFile1______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/0/v h(' objectvar v_v_outputFile1_______ ') h(' { v_v_outputFile1_______ = new Vector() } ') h(' v_v_outputFile1_______.record(&a_pyramidals_48[17].soma.v(0.5)) ') h.v_v_outputFile1_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/0/v h(' objectvar v_v_outputFile1________ ') h(' { v_v_outputFile1________ = new Vector() } ') h(' v_v_outputFile1________.record(&a_pyramidals_48[18].soma.v(0.5)) ') h.v_v_outputFile1________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/0/v h(' objectvar v_v_outputFile1_________ ') h(' { v_v_outputFile1_________ = new Vector() } ') h(' v_v_outputFile1_________.record(&a_pyramidals_48[19].soma.v(0.5)) ') h.v_v_outputFile1_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile2 # Column: pyramidals_48/20/pyr_4_sym/0/v h(' objectvar v_v_outputFile2 ') h(' { v_v_outputFile2 = new Vector() } ') h(' v_v_outputFile2.record(&a_pyramidals_48[20].soma.v(0.5)) ') h.v_v_outputFile2.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/0/v h(' objectvar v_v_outputFile2_ ') h(' { v_v_outputFile2_ = new Vector() } ') h(' v_v_outputFile2_.record(&a_pyramidals_48[21].soma.v(0.5)) ') h.v_v_outputFile2_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/0/v h(' objectvar v_v_outputFile2__ ') h(' { v_v_outputFile2__ = new Vector() } ') h(' v_v_outputFile2__.record(&a_pyramidals_48[22].soma.v(0.5)) ') h.v_v_outputFile2__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/0/v h(' objectvar v_v_outputFile2___ ') h(' { v_v_outputFile2___ = new Vector() } ') h(' v_v_outputFile2___.record(&a_pyramidals_48[23].soma.v(0.5)) ') h.v_v_outputFile2___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/0/v h(' objectvar v_v_outputFile2____ ') h(' { v_v_outputFile2____ = new Vector() } ') h(' v_v_outputFile2____.record(&a_pyramidals_48[24].soma.v(0.5)) ') h.v_v_outputFile2____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/0/v h(' objectvar v_v_outputFile2_____ ') h(' { v_v_outputFile2_____ = new Vector() } ') h(' v_v_outputFile2_____.record(&a_pyramidals_48[25].soma.v(0.5)) ') h.v_v_outputFile2_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/0/v h(' objectvar v_v_outputFile2______ ') h(' { v_v_outputFile2______ = new Vector() } ') h(' v_v_outputFile2______.record(&a_pyramidals_48[26].soma.v(0.5)) ') h.v_v_outputFile2______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/0/v h(' objectvar v_v_outputFile2_______ ') h(' { v_v_outputFile2_______ = new Vector() } ') h(' v_v_outputFile2_______.record(&a_pyramidals_48[27].soma.v(0.5)) ') h.v_v_outputFile2_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/0/v h(' objectvar v_v_outputFile2________ ') h(' { v_v_outputFile2________ = new Vector() } ') h(' v_v_outputFile2________.record(&a_pyramidals_48[28].soma.v(0.5)) ') h.v_v_outputFile2________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/0/v h(' objectvar v_v_outputFile2_________ ') h(' { v_v_outputFile2_________ = new Vector() } ') h(' v_v_outputFile2_________.record(&a_pyramidals_48[29].soma.v(0.5)) ') h.v_v_outputFile2_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile3 # Column: pyramidals_48/30/pyr_4_sym/0/v h(' objectvar v_v_outputFile3 ') h(' { v_v_outputFile3 = new Vector() } ') h(' v_v_outputFile3.record(&a_pyramidals_48[30].soma.v(0.5)) ') h.v_v_outputFile3.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/0/v h(' objectvar v_v_outputFile3_ ') h(' { v_v_outputFile3_ = new Vector() } ') h(' v_v_outputFile3_.record(&a_pyramidals_48[31].soma.v(0.5)) ') h.v_v_outputFile3_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/0/v h(' objectvar v_v_outputFile3__ ') h(' { v_v_outputFile3__ = new Vector() } ') h(' v_v_outputFile3__.record(&a_pyramidals_48[32].soma.v(0.5)) ') h.v_v_outputFile3__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/0/v h(' objectvar v_v_outputFile3___ ') h(' { v_v_outputFile3___ = new Vector() } ') h(' v_v_outputFile3___.record(&a_pyramidals_48[33].soma.v(0.5)) ') h.v_v_outputFile3___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/0/v h(' objectvar v_v_outputFile3____ ') h(' { v_v_outputFile3____ = new Vector() } ') h(' v_v_outputFile3____.record(&a_pyramidals_48[34].soma.v(0.5)) ') h.v_v_outputFile3____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/0/v h(' objectvar v_v_outputFile3_____ ') h(' { v_v_outputFile3_____ = new Vector() } ') h(' v_v_outputFile3_____.record(&a_pyramidals_48[35].soma.v(0.5)) ') h.v_v_outputFile3_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/0/v h(' objectvar v_v_outputFile3______ ') h(' { v_v_outputFile3______ = new Vector() } ') h(' v_v_outputFile3______.record(&a_pyramidals_48[36].soma.v(0.5)) ') h.v_v_outputFile3______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/0/v h(' objectvar v_v_outputFile3_______ ') h(' { v_v_outputFile3_______ = new Vector() } ') h(' v_v_outputFile3_______.record(&a_pyramidals_48[37].soma.v(0.5)) ') h.v_v_outputFile3_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/0/v h(' objectvar v_v_outputFile3________ ') h(' { v_v_outputFile3________ = new Vector() } ') h(' v_v_outputFile3________.record(&a_pyramidals_48[38].soma.v(0.5)) ') h.v_v_outputFile3________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/0/v h(' objectvar v_v_outputFile3_________ ') h(' { v_v_outputFile3_________ = new Vector() } ') h(' v_v_outputFile3_________.record(&a_pyramidals_48[39].soma.v(0.5)) ') h.v_v_outputFile3_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile4 # Column: pyramidals_48/40/pyr_4_sym/0/v h(' objectvar v_v_outputFile4 ') h(' { v_v_outputFile4 = new Vector() } ') h(' v_v_outputFile4.record(&a_pyramidals_48[40].soma.v(0.5)) ') h.v_v_outputFile4.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/0/v h(' objectvar v_v_outputFile4_ ') h(' { v_v_outputFile4_ = new Vector() } ') h(' v_v_outputFile4_.record(&a_pyramidals_48[41].soma.v(0.5)) ') h.v_v_outputFile4_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/0/v h(' objectvar v_v_outputFile4__ ') h(' { v_v_outputFile4__ = new Vector() } ') h(' v_v_outputFile4__.record(&a_pyramidals_48[42].soma.v(0.5)) ') h.v_v_outputFile4__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/0/v h(' objectvar v_v_outputFile4___ ') h(' { v_v_outputFile4___ = new Vector() } ') h(' v_v_outputFile4___.record(&a_pyramidals_48[43].soma.v(0.5)) ') h.v_v_outputFile4___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/0/v h(' objectvar v_v_outputFile4____ ') h(' { v_v_outputFile4____ = new Vector() } ') h(' v_v_outputFile4____.record(&a_pyramidals_48[44].soma.v(0.5)) ') h.v_v_outputFile4____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/0/v h(' objectvar v_v_outputFile4_____ ') h(' { v_v_outputFile4_____ = new Vector() } ') h(' v_v_outputFile4_____.record(&a_pyramidals_48[45].soma.v(0.5)) ') h.v_v_outputFile4_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/0/v h(' objectvar v_v_outputFile4______ ') h(' { v_v_outputFile4______ = new Vector() } ') h(' v_v_outputFile4______.record(&a_pyramidals_48[46].soma.v(0.5)) ') h.v_v_outputFile4______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/0/v h(' objectvar v_v_outputFile4_______ ') h(' { v_v_outputFile4_______ = new Vector() } ') h(' v_v_outputFile4_______.record(&a_pyramidals_48[47].soma.v(0.5)) ') h.v_v_outputFile4_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/1/v h(' objectvar v_v_outputFile4________ ') h(' { v_v_outputFile4________ = new Vector() } ') h(' v_v_outputFile4________.record(&a_pyramidals_48[0].apical0.v(0.5)) ') h.v_v_outputFile4________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/1/v h(' objectvar v_v_outputFile4_________ ') h(' { v_v_outputFile4_________ = new Vector() } ') h(' v_v_outputFile4_________.record(&a_pyramidals_48[1].apical0.v(0.5)) ') h.v_v_outputFile4_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile5 # Column: pyramidals_48/2/pyr_4_sym/1/v h(' objectvar v_v_outputFile5 ') h(' { v_v_outputFile5 = new Vector() } ') h(' v_v_outputFile5.record(&a_pyramidals_48[2].apical0.v(0.5)) ') h.v_v_outputFile5.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/1/v h(' objectvar v_v_outputFile5_ ') h(' { v_v_outputFile5_ = new Vector() } ') h(' v_v_outputFile5_.record(&a_pyramidals_48[3].apical0.v(0.5)) ') h.v_v_outputFile5_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/1/v h(' objectvar v_v_outputFile5__ ') h(' { v_v_outputFile5__ = new Vector() } ') h(' v_v_outputFile5__.record(&a_pyramidals_48[4].apical0.v(0.5)) ') h.v_v_outputFile5__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/1/v h(' objectvar v_v_outputFile5___ ') h(' { v_v_outputFile5___ = new Vector() } ') h(' v_v_outputFile5___.record(&a_pyramidals_48[5].apical0.v(0.5)) ') h.v_v_outputFile5___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/1/v h(' objectvar v_v_outputFile5____ ') h(' { v_v_outputFile5____ = new Vector() } ') h(' v_v_outputFile5____.record(&a_pyramidals_48[6].apical0.v(0.5)) ') h.v_v_outputFile5____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/1/v h(' objectvar v_v_outputFile5_____ ') h(' { v_v_outputFile5_____ = new Vector() } ') h(' v_v_outputFile5_____.record(&a_pyramidals_48[7].apical0.v(0.5)) ') h.v_v_outputFile5_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/1/v h(' objectvar v_v_outputFile5______ ') h(' { v_v_outputFile5______ = new Vector() } ') h(' v_v_outputFile5______.record(&a_pyramidals_48[8].apical0.v(0.5)) ') h.v_v_outputFile5______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/1/v h(' objectvar v_v_outputFile5_______ ') h(' { v_v_outputFile5_______ = new Vector() } ') h(' v_v_outputFile5_______.record(&a_pyramidals_48[9].apical0.v(0.5)) ') h.v_v_outputFile5_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/1/v h(' objectvar v_v_outputFile5________ ') h(' { v_v_outputFile5________ = new Vector() } ') h(' v_v_outputFile5________.record(&a_pyramidals_48[10].apical0.v(0.5)) ') h.v_v_outputFile5________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/1/v h(' objectvar v_v_outputFile5_________ ') h(' { v_v_outputFile5_________ = new Vector() } ') h(' v_v_outputFile5_________.record(&a_pyramidals_48[11].apical0.v(0.5)) ') h.v_v_outputFile5_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile20 # Column: pyramidals_48/8/pyr_4_sym/4/v h(' objectvar v_v_outputFile20 ') h(' { v_v_outputFile20 = new Vector() } ') h(' v_v_outputFile20.record(&a_pyramidals_48[8].apical4.v(0.5)) ') h.v_v_outputFile20.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/4/v h(' objectvar v_v_outputFile20_ ') h(' { v_v_outputFile20_ = new Vector() } ') h(' v_v_outputFile20_.record(&a_pyramidals_48[9].apical4.v(0.5)) ') h.v_v_outputFile20_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/4/v h(' objectvar v_v_outputFile20__ ') h(' { v_v_outputFile20__ = new Vector() } ') h(' v_v_outputFile20__.record(&a_pyramidals_48[10].apical4.v(0.5)) ') h.v_v_outputFile20__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/4/v h(' objectvar v_v_outputFile20___ ') h(' { v_v_outputFile20___ = new Vector() } ') h(' v_v_outputFile20___.record(&a_pyramidals_48[11].apical4.v(0.5)) ') h.v_v_outputFile20___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/4/v h(' objectvar v_v_outputFile20____ ') h(' { v_v_outputFile20____ = new Vector() } ') h(' v_v_outputFile20____.record(&a_pyramidals_48[12].apical4.v(0.5)) ') h.v_v_outputFile20____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/4/v h(' objectvar v_v_outputFile20_____ ') h(' { v_v_outputFile20_____ = new Vector() } ') h(' v_v_outputFile20_____.record(&a_pyramidals_48[13].apical4.v(0.5)) ') h.v_v_outputFile20_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/4/v h(' objectvar v_v_outputFile20______ ') h(' { v_v_outputFile20______ = new Vector() } ') h(' v_v_outputFile20______.record(&a_pyramidals_48[14].apical4.v(0.5)) ') h.v_v_outputFile20______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/4/v h(' objectvar v_v_outputFile20_______ ') h(' { v_v_outputFile20_______ = new Vector() } ') h(' v_v_outputFile20_______.record(&a_pyramidals_48[15].apical4.v(0.5)) ') h.v_v_outputFile20_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/4/v h(' objectvar v_v_outputFile20________ ') h(' { v_v_outputFile20________ = new Vector() } ') h(' v_v_outputFile20________.record(&a_pyramidals_48[16].apical4.v(0.5)) ') h.v_v_outputFile20________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/4/v h(' objectvar v_v_outputFile20_________ ') h(' { v_v_outputFile20_________ = new Vector() } ') h(' v_v_outputFile20_________.record(&a_pyramidals_48[17].apical4.v(0.5)) ') h.v_v_outputFile20_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile45 # Column: baskets_12/6/bask/1/v h(' objectvar v_v_outputFile45 ') h(' { v_v_outputFile45 = new Vector() } ') h(' v_v_outputFile45.record(&a_baskets_12[6].dend.v(0.5)) ') h.v_v_outputFile45.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/7/bask/1/v h(' objectvar v_v_outputFile45_ ') h(' { v_v_outputFile45_ = new Vector() } ') h(' v_v_outputFile45_.record(&a_baskets_12[7].dend.v(0.5)) ') h.v_v_outputFile45_.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/8/bask/1/v h(' objectvar v_v_outputFile45__ ') h(' { v_v_outputFile45__ = new Vector() } ') h(' v_v_outputFile45__.record(&a_baskets_12[8].dend.v(0.5)) ') h.v_v_outputFile45__.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/9/bask/1/v h(' objectvar v_v_outputFile45___ ') h(' { v_v_outputFile45___ = new Vector() } ') h(' v_v_outputFile45___.record(&a_baskets_12[9].dend.v(0.5)) ') h.v_v_outputFile45___.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/10/bask/1/v h(' objectvar v_v_outputFile45____ ') h(' { v_v_outputFile45____ = new Vector() } ') h(' v_v_outputFile45____.record(&a_baskets_12[10].dend.v(0.5)) ') h.v_v_outputFile45____.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/11/bask/1/v h(' objectvar v_v_outputFile45_____ ') h(' { v_v_outputFile45_____ = new Vector() } ') h(' v_v_outputFile45_____.record(&a_baskets_12[11].dend.v(0.5)) ') h.v_v_outputFile45_____.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile6 # Column: pyramidals_48/12/pyr_4_sym/1/v h(' objectvar v_v_outputFile6 ') h(' { v_v_outputFile6 = new Vector() } ') h(' v_v_outputFile6.record(&a_pyramidals_48[12].apical0.v(0.5)) ') h.v_v_outputFile6.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/1/v h(' objectvar v_v_outputFile6_ ') h(' { v_v_outputFile6_ = new Vector() } ') h(' v_v_outputFile6_.record(&a_pyramidals_48[13].apical0.v(0.5)) ') h.v_v_outputFile6_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/1/v h(' objectvar v_v_outputFile6__ ') h(' { v_v_outputFile6__ = new Vector() } ') h(' v_v_outputFile6__.record(&a_pyramidals_48[14].apical0.v(0.5)) ') h.v_v_outputFile6__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/1/v h(' objectvar v_v_outputFile6___ ') h(' { v_v_outputFile6___ = new Vector() } ') h(' v_v_outputFile6___.record(&a_pyramidals_48[15].apical0.v(0.5)) ') h.v_v_outputFile6___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/1/v h(' objectvar v_v_outputFile6____ ') h(' { v_v_outputFile6____ = new Vector() } ') h(' v_v_outputFile6____.record(&a_pyramidals_48[16].apical0.v(0.5)) ') h.v_v_outputFile6____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/1/v h(' objectvar v_v_outputFile6_____ ') h(' { v_v_outputFile6_____ = new Vector() } ') h(' v_v_outputFile6_____.record(&a_pyramidals_48[17].apical0.v(0.5)) ') h.v_v_outputFile6_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/1/v h(' objectvar v_v_outputFile6______ ') h(' { v_v_outputFile6______ = new Vector() } ') h(' v_v_outputFile6______.record(&a_pyramidals_48[18].apical0.v(0.5)) ') h.v_v_outputFile6______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/1/v h(' objectvar v_v_outputFile6_______ ') h(' { v_v_outputFile6_______ = new Vector() } ') h(' v_v_outputFile6_______.record(&a_pyramidals_48[19].apical0.v(0.5)) ') h.v_v_outputFile6_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/1/v h(' objectvar v_v_outputFile6________ ') h(' { v_v_outputFile6________ = new Vector() } ') h(' v_v_outputFile6________.record(&a_pyramidals_48[20].apical0.v(0.5)) ') h.v_v_outputFile6________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/1/v h(' objectvar v_v_outputFile6_________ ') h(' { v_v_outputFile6_________ = new Vector() } ') h(' v_v_outputFile6_________.record(&a_pyramidals_48[21].apical0.v(0.5)) ') h.v_v_outputFile6_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile44 # Column: baskets_12/8/bask/0/v h(' objectvar v_v_outputFile44 ') h(' { v_v_outputFile44 = new Vector() } ') h(' v_v_outputFile44.record(&a_baskets_12[8].soma.v(0.5)) ') h.v_v_outputFile44.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/9/bask/0/v h(' objectvar v_v_outputFile44_ ') h(' { v_v_outputFile44_ = new Vector() } ') h(' v_v_outputFile44_.record(&a_baskets_12[9].soma.v(0.5)) ') h.v_v_outputFile44_.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/10/bask/0/v h(' objectvar v_v_outputFile44__ ') h(' { v_v_outputFile44__ = new Vector() } ') h(' v_v_outputFile44__.record(&a_baskets_12[10].soma.v(0.5)) ') h.v_v_outputFile44__.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/11/bask/0/v h(' objectvar v_v_outputFile44___ ') h(' { v_v_outputFile44___ = new Vector() } ') h(' v_v_outputFile44___.record(&a_baskets_12[11].soma.v(0.5)) ') h.v_v_outputFile44___.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/0/bask/1/v h(' objectvar v_v_outputFile44____ ') h(' { v_v_outputFile44____ = new Vector() } ') h(' v_v_outputFile44____.record(&a_baskets_12[0].dend.v(0.5)) ') h.v_v_outputFile44____.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/1/bask/1/v h(' objectvar v_v_outputFile44_____ ') h(' { v_v_outputFile44_____ = new Vector() } ') h(' v_v_outputFile44_____.record(&a_baskets_12[1].dend.v(0.5)) ') h.v_v_outputFile44_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/2/bask/1/v h(' objectvar v_v_outputFile44______ ') h(' { v_v_outputFile44______ = new Vector() } ') h(' v_v_outputFile44______.record(&a_baskets_12[2].dend.v(0.5)) ') h.v_v_outputFile44______.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/3/bask/1/v h(' objectvar v_v_outputFile44_______ ') h(' { v_v_outputFile44_______ = new Vector() } ') h(' v_v_outputFile44_______.record(&a_baskets_12[3].dend.v(0.5)) ') h.v_v_outputFile44_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/4/bask/1/v h(' objectvar v_v_outputFile44________ ') h(' { v_v_outputFile44________ = new Vector() } ') h(' v_v_outputFile44________.record(&a_baskets_12[4].dend.v(0.5)) ') h.v_v_outputFile44________.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/5/bask/1/v h(' objectvar v_v_outputFile44_________ ') h(' { v_v_outputFile44_________ = new Vector() } ') h(' v_v_outputFile44_________.record(&a_baskets_12[5].dend.v(0.5)) ') h.v_v_outputFile44_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile7 # Column: pyramidals_48/22/pyr_4_sym/1/v h(' objectvar v_v_outputFile7 ') h(' { v_v_outputFile7 = new Vector() } ') h(' v_v_outputFile7.record(&a_pyramidals_48[22].apical0.v(0.5)) ') h.v_v_outputFile7.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/1/v h(' objectvar v_v_outputFile7_ ') h(' { v_v_outputFile7_ = new Vector() } ') h(' v_v_outputFile7_.record(&a_pyramidals_48[23].apical0.v(0.5)) ') h.v_v_outputFile7_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/1/v h(' objectvar v_v_outputFile7__ ') h(' { v_v_outputFile7__ = new Vector() } ') h(' v_v_outputFile7__.record(&a_pyramidals_48[24].apical0.v(0.5)) ') h.v_v_outputFile7__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/1/v h(' objectvar v_v_outputFile7___ ') h(' { v_v_outputFile7___ = new Vector() } ') h(' v_v_outputFile7___.record(&a_pyramidals_48[25].apical0.v(0.5)) ') h.v_v_outputFile7___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/1/v h(' objectvar v_v_outputFile7____ ') h(' { v_v_outputFile7____ = new Vector() } ') h(' v_v_outputFile7____.record(&a_pyramidals_48[26].apical0.v(0.5)) ') h.v_v_outputFile7____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/1/v h(' objectvar v_v_outputFile7_____ ') h(' { v_v_outputFile7_____ = new Vector() } ') h(' v_v_outputFile7_____.record(&a_pyramidals_48[27].apical0.v(0.5)) ') h.v_v_outputFile7_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/1/v h(' objectvar v_v_outputFile7______ ') h(' { v_v_outputFile7______ = new Vector() } ') h(' v_v_outputFile7______.record(&a_pyramidals_48[28].apical0.v(0.5)) ') h.v_v_outputFile7______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/1/v h(' objectvar v_v_outputFile7_______ ') h(' { v_v_outputFile7_______ = new Vector() } ') h(' v_v_outputFile7_______.record(&a_pyramidals_48[29].apical0.v(0.5)) ') h.v_v_outputFile7_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/1/v h(' objectvar v_v_outputFile7________ ') h(' { v_v_outputFile7________ = new Vector() } ') h(' v_v_outputFile7________.record(&a_pyramidals_48[30].apical0.v(0.5)) ') h.v_v_outputFile7________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/1/v h(' objectvar v_v_outputFile7_________ ') h(' { v_v_outputFile7_________ = new Vector() } ') h(' v_v_outputFile7_________.record(&a_pyramidals_48[31].apical0.v(0.5)) ') h.v_v_outputFile7_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile43 # Column: pyramidals_48/46/pyr_4_sym/8/v h(' objectvar v_v_outputFile43 ') h(' { v_v_outputFile43 = new Vector() } ') h(' v_v_outputFile43.record(&a_pyramidals_48[46].basal2.v(0.5)) ') h.v_v_outputFile43.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/8/v h(' objectvar v_v_outputFile43_ ') h(' { v_v_outputFile43_ = new Vector() } ') h(' v_v_outputFile43_.record(&a_pyramidals_48[47].basal2.v(0.5)) ') h.v_v_outputFile43_.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/0/bask/0/v h(' objectvar v_v_outputFile43__ ') h(' { v_v_outputFile43__ = new Vector() } ') h(' v_v_outputFile43__.record(&a_baskets_12[0].soma.v(0.5)) ') h.v_v_outputFile43__.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/1/bask/0/v h(' objectvar v_v_outputFile43___ ') h(' { v_v_outputFile43___ = new Vector() } ') h(' v_v_outputFile43___.record(&a_baskets_12[1].soma.v(0.5)) ') h.v_v_outputFile43___.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/2/bask/0/v h(' objectvar v_v_outputFile43____ ') h(' { v_v_outputFile43____ = new Vector() } ') h(' v_v_outputFile43____.record(&a_baskets_12[2].soma.v(0.5)) ') h.v_v_outputFile43____.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/3/bask/0/v h(' objectvar v_v_outputFile43_____ ') h(' { v_v_outputFile43_____ = new Vector() } ') h(' v_v_outputFile43_____.record(&a_baskets_12[3].soma.v(0.5)) ') h.v_v_outputFile43_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/4/bask/0/v h(' objectvar v_v_outputFile43______ ') h(' { v_v_outputFile43______ = new Vector() } ') h(' v_v_outputFile43______.record(&a_baskets_12[4].soma.v(0.5)) ') h.v_v_outputFile43______.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/5/bask/0/v h(' objectvar v_v_outputFile43_______ ') h(' { v_v_outputFile43_______ = new Vector() } ') h(' v_v_outputFile43_______.record(&a_baskets_12[5].soma.v(0.5)) ') h.v_v_outputFile43_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/6/bask/0/v h(' objectvar v_v_outputFile43________ ') h(' { v_v_outputFile43________ = new Vector() } ') h(' v_v_outputFile43________.record(&a_baskets_12[6].soma.v(0.5)) ') h.v_v_outputFile43________.resize((h.tstop * h.steps_per_ms) + 1) # Column: baskets_12/7/bask/0/v h(' objectvar v_v_outputFile43_________ ') h(' { v_v_outputFile43_________ = new Vector() } ') h(' v_v_outputFile43_________.record(&a_baskets_12[7].soma.v(0.5)) ') h.v_v_outputFile43_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile8 # Column: pyramidals_48/32/pyr_4_sym/1/v h(' objectvar v_v_outputFile8 ') h(' { v_v_outputFile8 = new Vector() } ') h(' v_v_outputFile8.record(&a_pyramidals_48[32].apical0.v(0.5)) ') h.v_v_outputFile8.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/1/v h(' objectvar v_v_outputFile8_ ') h(' { v_v_outputFile8_ = new Vector() } ') h(' v_v_outputFile8_.record(&a_pyramidals_48[33].apical0.v(0.5)) ') h.v_v_outputFile8_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/1/v h(' objectvar v_v_outputFile8__ ') h(' { v_v_outputFile8__ = new Vector() } ') h(' v_v_outputFile8__.record(&a_pyramidals_48[34].apical0.v(0.5)) ') h.v_v_outputFile8__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/1/v h(' objectvar v_v_outputFile8___ ') h(' { v_v_outputFile8___ = new Vector() } ') h(' v_v_outputFile8___.record(&a_pyramidals_48[35].apical0.v(0.5)) ') h.v_v_outputFile8___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/1/v h(' objectvar v_v_outputFile8____ ') h(' { v_v_outputFile8____ = new Vector() } ') h(' v_v_outputFile8____.record(&a_pyramidals_48[36].apical0.v(0.5)) ') h.v_v_outputFile8____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/1/v h(' objectvar v_v_outputFile8_____ ') h(' { v_v_outputFile8_____ = new Vector() } ') h(' v_v_outputFile8_____.record(&a_pyramidals_48[37].apical0.v(0.5)) ') h.v_v_outputFile8_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/1/v h(' objectvar v_v_outputFile8______ ') h(' { v_v_outputFile8______ = new Vector() } ') h(' v_v_outputFile8______.record(&a_pyramidals_48[38].apical0.v(0.5)) ') h.v_v_outputFile8______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/1/v h(' objectvar v_v_outputFile8_______ ') h(' { v_v_outputFile8_______ = new Vector() } ') h(' v_v_outputFile8_______.record(&a_pyramidals_48[39].apical0.v(0.5)) ') h.v_v_outputFile8_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/1/v h(' objectvar v_v_outputFile8________ ') h(' { v_v_outputFile8________ = new Vector() } ') h(' v_v_outputFile8________.record(&a_pyramidals_48[40].apical0.v(0.5)) ') h.v_v_outputFile8________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/1/v h(' objectvar v_v_outputFile8_________ ') h(' { v_v_outputFile8_________ = new Vector() } ') h(' v_v_outputFile8_________.record(&a_pyramidals_48[41].apical0.v(0.5)) ') h.v_v_outputFile8_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile42 # Column: pyramidals_48/36/pyr_4_sym/8/v h(' objectvar v_v_outputFile42 ') h(' { v_v_outputFile42 = new Vector() } ') h(' v_v_outputFile42.record(&a_pyramidals_48[36].basal2.v(0.5)) ') h.v_v_outputFile42.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/8/v h(' objectvar v_v_outputFile42_ ') h(' { v_v_outputFile42_ = new Vector() } ') h(' v_v_outputFile42_.record(&a_pyramidals_48[37].basal2.v(0.5)) ') h.v_v_outputFile42_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/8/v h(' objectvar v_v_outputFile42__ ') h(' { v_v_outputFile42__ = new Vector() } ') h(' v_v_outputFile42__.record(&a_pyramidals_48[38].basal2.v(0.5)) ') h.v_v_outputFile42__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/8/v h(' objectvar v_v_outputFile42___ ') h(' { v_v_outputFile42___ = new Vector() } ') h(' v_v_outputFile42___.record(&a_pyramidals_48[39].basal2.v(0.5)) ') h.v_v_outputFile42___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/8/v h(' objectvar v_v_outputFile42____ ') h(' { v_v_outputFile42____ = new Vector() } ') h(' v_v_outputFile42____.record(&a_pyramidals_48[40].basal2.v(0.5)) ') h.v_v_outputFile42____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/8/v h(' objectvar v_v_outputFile42_____ ') h(' { v_v_outputFile42_____ = new Vector() } ') h(' v_v_outputFile42_____.record(&a_pyramidals_48[41].basal2.v(0.5)) ') h.v_v_outputFile42_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/8/v h(' objectvar v_v_outputFile42______ ') h(' { v_v_outputFile42______ = new Vector() } ') h(' v_v_outputFile42______.record(&a_pyramidals_48[42].basal2.v(0.5)) ') h.v_v_outputFile42______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/8/v h(' objectvar v_v_outputFile42_______ ') h(' { v_v_outputFile42_______ = new Vector() } ') h(' v_v_outputFile42_______.record(&a_pyramidals_48[43].basal2.v(0.5)) ') h.v_v_outputFile42_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/8/v h(' objectvar v_v_outputFile42________ ') h(' { v_v_outputFile42________ = new Vector() } ') h(' v_v_outputFile42________.record(&a_pyramidals_48[44].basal2.v(0.5)) ') h.v_v_outputFile42________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/8/v h(' objectvar v_v_outputFile42_________ ') h(' { v_v_outputFile42_________ = new Vector() } ') h(' v_v_outputFile42_________.record(&a_pyramidals_48[45].basal2.v(0.5)) ') h.v_v_outputFile42_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile24 # Column: pyramidals_48/0/pyr_4_sym/5/v h(' objectvar v_v_outputFile24 ') h(' { v_v_outputFile24 = new Vector() } ') h(' v_v_outputFile24.record(&a_pyramidals_48[0].apical1.v(0.5)) ') h.v_v_outputFile24.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/5/v h(' objectvar v_v_outputFile24_ ') h(' { v_v_outputFile24_ = new Vector() } ') h(' v_v_outputFile24_.record(&a_pyramidals_48[1].apical1.v(0.5)) ') h.v_v_outputFile24_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/5/v h(' objectvar v_v_outputFile24__ ') h(' { v_v_outputFile24__ = new Vector() } ') h(' v_v_outputFile24__.record(&a_pyramidals_48[2].apical1.v(0.5)) ') h.v_v_outputFile24__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/5/v h(' objectvar v_v_outputFile24___ ') h(' { v_v_outputFile24___ = new Vector() } ') h(' v_v_outputFile24___.record(&a_pyramidals_48[3].apical1.v(0.5)) ') h.v_v_outputFile24___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/5/v h(' objectvar v_v_outputFile24____ ') h(' { v_v_outputFile24____ = new Vector() } ') h(' v_v_outputFile24____.record(&a_pyramidals_48[4].apical1.v(0.5)) ') h.v_v_outputFile24____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/5/v h(' objectvar v_v_outputFile24_____ ') h(' { v_v_outputFile24_____ = new Vector() } ') h(' v_v_outputFile24_____.record(&a_pyramidals_48[5].apical1.v(0.5)) ') h.v_v_outputFile24_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/5/v h(' objectvar v_v_outputFile24______ ') h(' { v_v_outputFile24______ = new Vector() } ') h(' v_v_outputFile24______.record(&a_pyramidals_48[6].apical1.v(0.5)) ') h.v_v_outputFile24______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/5/v h(' objectvar v_v_outputFile24_______ ') h(' { v_v_outputFile24_______ = new Vector() } ') h(' v_v_outputFile24_______.record(&a_pyramidals_48[7].apical1.v(0.5)) ') h.v_v_outputFile24_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/5/v h(' objectvar v_v_outputFile24________ ') h(' { v_v_outputFile24________ = new Vector() } ') h(' v_v_outputFile24________.record(&a_pyramidals_48[8].apical1.v(0.5)) ') h.v_v_outputFile24________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/5/v h(' objectvar v_v_outputFile24_________ ') h(' { v_v_outputFile24_________ = new Vector() } ') h(' v_v_outputFile24_________.record(&a_pyramidals_48[9].apical1.v(0.5)) ') h.v_v_outputFile24_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile9 # Column: pyramidals_48/42/pyr_4_sym/1/v h(' objectvar v_v_outputFile9 ') h(' { v_v_outputFile9 = new Vector() } ') h(' v_v_outputFile9.record(&a_pyramidals_48[42].apical0.v(0.5)) ') h.v_v_outputFile9.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/1/v h(' objectvar v_v_outputFile9_ ') h(' { v_v_outputFile9_ = new Vector() } ') h(' v_v_outputFile9_.record(&a_pyramidals_48[43].apical0.v(0.5)) ') h.v_v_outputFile9_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/1/v h(' objectvar v_v_outputFile9__ ') h(' { v_v_outputFile9__ = new Vector() } ') h(' v_v_outputFile9__.record(&a_pyramidals_48[44].apical0.v(0.5)) ') h.v_v_outputFile9__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/1/v h(' objectvar v_v_outputFile9___ ') h(' { v_v_outputFile9___ = new Vector() } ') h(' v_v_outputFile9___.record(&a_pyramidals_48[45].apical0.v(0.5)) ') h.v_v_outputFile9___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/1/v h(' objectvar v_v_outputFile9____ ') h(' { v_v_outputFile9____ = new Vector() } ') h(' v_v_outputFile9____.record(&a_pyramidals_48[46].apical0.v(0.5)) ') h.v_v_outputFile9____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/1/v h(' objectvar v_v_outputFile9_____ ') h(' { v_v_outputFile9_____ = new Vector() } ') h(' v_v_outputFile9_____.record(&a_pyramidals_48[47].apical0.v(0.5)) ') h.v_v_outputFile9_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/2/v h(' objectvar v_v_outputFile9______ ') h(' { v_v_outputFile9______ = new Vector() } ') h(' v_v_outputFile9______.record(&a_pyramidals_48[0].apical2.v(0.5)) ') h.v_v_outputFile9______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/2/v h(' objectvar v_v_outputFile9_______ ') h(' { v_v_outputFile9_______ = new Vector() } ') h(' v_v_outputFile9_______.record(&a_pyramidals_48[1].apical2.v(0.5)) ') h.v_v_outputFile9_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/2/v h(' objectvar v_v_outputFile9________ ') h(' { v_v_outputFile9________ = new Vector() } ') h(' v_v_outputFile9________.record(&a_pyramidals_48[2].apical2.v(0.5)) ') h.v_v_outputFile9________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/2/v h(' objectvar v_v_outputFile9_________ ') h(' { v_v_outputFile9_________ = new Vector() } ') h(' v_v_outputFile9_________.record(&a_pyramidals_48[3].apical2.v(0.5)) ') h.v_v_outputFile9_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile41 # Column: pyramidals_48/26/pyr_4_sym/8/v h(' objectvar v_v_outputFile41 ') h(' { v_v_outputFile41 = new Vector() } ') h(' v_v_outputFile41.record(&a_pyramidals_48[26].basal2.v(0.5)) ') h.v_v_outputFile41.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/8/v h(' objectvar v_v_outputFile41_ ') h(' { v_v_outputFile41_ = new Vector() } ') h(' v_v_outputFile41_.record(&a_pyramidals_48[27].basal2.v(0.5)) ') h.v_v_outputFile41_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/8/v h(' objectvar v_v_outputFile41__ ') h(' { v_v_outputFile41__ = new Vector() } ') h(' v_v_outputFile41__.record(&a_pyramidals_48[28].basal2.v(0.5)) ') h.v_v_outputFile41__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/8/v h(' objectvar v_v_outputFile41___ ') h(' { v_v_outputFile41___ = new Vector() } ') h(' v_v_outputFile41___.record(&a_pyramidals_48[29].basal2.v(0.5)) ') h.v_v_outputFile41___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/8/v h(' objectvar v_v_outputFile41____ ') h(' { v_v_outputFile41____ = new Vector() } ') h(' v_v_outputFile41____.record(&a_pyramidals_48[30].basal2.v(0.5)) ') h.v_v_outputFile41____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/8/v h(' objectvar v_v_outputFile41_____ ') h(' { v_v_outputFile41_____ = new Vector() } ') h(' v_v_outputFile41_____.record(&a_pyramidals_48[31].basal2.v(0.5)) ') h.v_v_outputFile41_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/8/v h(' objectvar v_v_outputFile41______ ') h(' { v_v_outputFile41______ = new Vector() } ') h(' v_v_outputFile41______.record(&a_pyramidals_48[32].basal2.v(0.5)) ') h.v_v_outputFile41______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/8/v h(' objectvar v_v_outputFile41_______ ') h(' { v_v_outputFile41_______ = new Vector() } ') h(' v_v_outputFile41_______.record(&a_pyramidals_48[33].basal2.v(0.5)) ') h.v_v_outputFile41_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/8/v h(' objectvar v_v_outputFile41________ ') h(' { v_v_outputFile41________ = new Vector() } ') h(' v_v_outputFile41________.record(&a_pyramidals_48[34].basal2.v(0.5)) ') h.v_v_outputFile41________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/8/v h(' objectvar v_v_outputFile41_________ ') h(' { v_v_outputFile41_________ = new Vector() } ') h(' v_v_outputFile41_________.record(&a_pyramidals_48[35].basal2.v(0.5)) ') h.v_v_outputFile41_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile23 # Column: pyramidals_48/38/pyr_4_sym/4/v h(' objectvar v_v_outputFile23 ') h(' { v_v_outputFile23 = new Vector() } ') h(' v_v_outputFile23.record(&a_pyramidals_48[38].apical4.v(0.5)) ') h.v_v_outputFile23.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/4/v h(' objectvar v_v_outputFile23_ ') h(' { v_v_outputFile23_ = new Vector() } ') h(' v_v_outputFile23_.record(&a_pyramidals_48[39].apical4.v(0.5)) ') h.v_v_outputFile23_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/4/v h(' objectvar v_v_outputFile23__ ') h(' { v_v_outputFile23__ = new Vector() } ') h(' v_v_outputFile23__.record(&a_pyramidals_48[40].apical4.v(0.5)) ') h.v_v_outputFile23__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/4/v h(' objectvar v_v_outputFile23___ ') h(' { v_v_outputFile23___ = new Vector() } ') h(' v_v_outputFile23___.record(&a_pyramidals_48[41].apical4.v(0.5)) ') h.v_v_outputFile23___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/4/v h(' objectvar v_v_outputFile23____ ') h(' { v_v_outputFile23____ = new Vector() } ') h(' v_v_outputFile23____.record(&a_pyramidals_48[42].apical4.v(0.5)) ') h.v_v_outputFile23____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/4/v h(' objectvar v_v_outputFile23_____ ') h(' { v_v_outputFile23_____ = new Vector() } ') h(' v_v_outputFile23_____.record(&a_pyramidals_48[43].apical4.v(0.5)) ') h.v_v_outputFile23_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/4/v h(' objectvar v_v_outputFile23______ ') h(' { v_v_outputFile23______ = new Vector() } ') h(' v_v_outputFile23______.record(&a_pyramidals_48[44].apical4.v(0.5)) ') h.v_v_outputFile23______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/4/v h(' objectvar v_v_outputFile23_______ ') h(' { v_v_outputFile23_______ = new Vector() } ') h(' v_v_outputFile23_______.record(&a_pyramidals_48[45].apical4.v(0.5)) ') h.v_v_outputFile23_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/4/v h(' objectvar v_v_outputFile23________ ') h(' { v_v_outputFile23________ = new Vector() } ') h(' v_v_outputFile23________.record(&a_pyramidals_48[46].apical4.v(0.5)) ') h.v_v_outputFile23________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/4/v h(' objectvar v_v_outputFile23_________ ') h(' { v_v_outputFile23_________ = new Vector() } ') h(' v_v_outputFile23_________.record(&a_pyramidals_48[47].apical4.v(0.5)) ') h.v_v_outputFile23_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile40 # Column: pyramidals_48/16/pyr_4_sym/8/v h(' objectvar v_v_outputFile40 ') h(' { v_v_outputFile40 = new Vector() } ') h(' v_v_outputFile40.record(&a_pyramidals_48[16].basal2.v(0.5)) ') h.v_v_outputFile40.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/8/v h(' objectvar v_v_outputFile40_ ') h(' { v_v_outputFile40_ = new Vector() } ') h(' v_v_outputFile40_.record(&a_pyramidals_48[17].basal2.v(0.5)) ') h.v_v_outputFile40_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/8/v h(' objectvar v_v_outputFile40__ ') h(' { v_v_outputFile40__ = new Vector() } ') h(' v_v_outputFile40__.record(&a_pyramidals_48[18].basal2.v(0.5)) ') h.v_v_outputFile40__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/8/v h(' objectvar v_v_outputFile40___ ') h(' { v_v_outputFile40___ = new Vector() } ') h(' v_v_outputFile40___.record(&a_pyramidals_48[19].basal2.v(0.5)) ') h.v_v_outputFile40___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/8/v h(' objectvar v_v_outputFile40____ ') h(' { v_v_outputFile40____ = new Vector() } ') h(' v_v_outputFile40____.record(&a_pyramidals_48[20].basal2.v(0.5)) ') h.v_v_outputFile40____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/8/v h(' objectvar v_v_outputFile40_____ ') h(' { v_v_outputFile40_____ = new Vector() } ') h(' v_v_outputFile40_____.record(&a_pyramidals_48[21].basal2.v(0.5)) ') h.v_v_outputFile40_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/8/v h(' objectvar v_v_outputFile40______ ') h(' { v_v_outputFile40______ = new Vector() } ') h(' v_v_outputFile40______.record(&a_pyramidals_48[22].basal2.v(0.5)) ') h.v_v_outputFile40______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/8/v h(' objectvar v_v_outputFile40_______ ') h(' { v_v_outputFile40_______ = new Vector() } ') h(' v_v_outputFile40_______.record(&a_pyramidals_48[23].basal2.v(0.5)) ') h.v_v_outputFile40_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/8/v h(' objectvar v_v_outputFile40________ ') h(' { v_v_outputFile40________ = new Vector() } ') h(' v_v_outputFile40________.record(&a_pyramidals_48[24].basal2.v(0.5)) ') h.v_v_outputFile40________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/8/v h(' objectvar v_v_outputFile40_________ ') h(' { v_v_outputFile40_________ = new Vector() } ') h(' v_v_outputFile40_________.record(&a_pyramidals_48[25].basal2.v(0.5)) ') h.v_v_outputFile40_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile22 # Column: pyramidals_48/28/pyr_4_sym/4/v h(' objectvar v_v_outputFile22 ') h(' { v_v_outputFile22 = new Vector() } ') h(' v_v_outputFile22.record(&a_pyramidals_48[28].apical4.v(0.5)) ') h.v_v_outputFile22.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/4/v h(' objectvar v_v_outputFile22_ ') h(' { v_v_outputFile22_ = new Vector() } ') h(' v_v_outputFile22_.record(&a_pyramidals_48[29].apical4.v(0.5)) ') h.v_v_outputFile22_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/4/v h(' objectvar v_v_outputFile22__ ') h(' { v_v_outputFile22__ = new Vector() } ') h(' v_v_outputFile22__.record(&a_pyramidals_48[30].apical4.v(0.5)) ') h.v_v_outputFile22__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/4/v h(' objectvar v_v_outputFile22___ ') h(' { v_v_outputFile22___ = new Vector() } ') h(' v_v_outputFile22___.record(&a_pyramidals_48[31].apical4.v(0.5)) ') h.v_v_outputFile22___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/4/v h(' objectvar v_v_outputFile22____ ') h(' { v_v_outputFile22____ = new Vector() } ') h(' v_v_outputFile22____.record(&a_pyramidals_48[32].apical4.v(0.5)) ') h.v_v_outputFile22____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/4/v h(' objectvar v_v_outputFile22_____ ') h(' { v_v_outputFile22_____ = new Vector() } ') h(' v_v_outputFile22_____.record(&a_pyramidals_48[33].apical4.v(0.5)) ') h.v_v_outputFile22_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/4/v h(' objectvar v_v_outputFile22______ ') h(' { v_v_outputFile22______ = new Vector() } ') h(' v_v_outputFile22______.record(&a_pyramidals_48[34].apical4.v(0.5)) ') h.v_v_outputFile22______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/4/v h(' objectvar v_v_outputFile22_______ ') h(' { v_v_outputFile22_______ = new Vector() } ') h(' v_v_outputFile22_______.record(&a_pyramidals_48[35].apical4.v(0.5)) ') h.v_v_outputFile22_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/4/v h(' objectvar v_v_outputFile22________ ') h(' { v_v_outputFile22________ = new Vector() } ') h(' v_v_outputFile22________.record(&a_pyramidals_48[36].apical4.v(0.5)) ') h.v_v_outputFile22________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/4/v h(' objectvar v_v_outputFile22_________ ') h(' { v_v_outputFile22_________ = new Vector() } ') h(' v_v_outputFile22_________.record(&a_pyramidals_48[37].apical4.v(0.5)) ') h.v_v_outputFile22_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile21 # Column: pyramidals_48/18/pyr_4_sym/4/v h(' objectvar v_v_outputFile21 ') h(' { v_v_outputFile21 = new Vector() } ') h(' v_v_outputFile21.record(&a_pyramidals_48[18].apical4.v(0.5)) ') h.v_v_outputFile21.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/4/v h(' objectvar v_v_outputFile21_ ') h(' { v_v_outputFile21_ = new Vector() } ') h(' v_v_outputFile21_.record(&a_pyramidals_48[19].apical4.v(0.5)) ') h.v_v_outputFile21_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/4/v h(' objectvar v_v_outputFile21__ ') h(' { v_v_outputFile21__ = new Vector() } ') h(' v_v_outputFile21__.record(&a_pyramidals_48[20].apical4.v(0.5)) ') h.v_v_outputFile21__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/4/v h(' objectvar v_v_outputFile21___ ') h(' { v_v_outputFile21___ = new Vector() } ') h(' v_v_outputFile21___.record(&a_pyramidals_48[21].apical4.v(0.5)) ') h.v_v_outputFile21___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/4/v h(' objectvar v_v_outputFile21____ ') h(' { v_v_outputFile21____ = new Vector() } ') h(' v_v_outputFile21____.record(&a_pyramidals_48[22].apical4.v(0.5)) ') h.v_v_outputFile21____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/4/v h(' objectvar v_v_outputFile21_____ ') h(' { v_v_outputFile21_____ = new Vector() } ') h(' v_v_outputFile21_____.record(&a_pyramidals_48[23].apical4.v(0.5)) ') h.v_v_outputFile21_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/4/v h(' objectvar v_v_outputFile21______ ') h(' { v_v_outputFile21______ = new Vector() } ') h(' v_v_outputFile21______.record(&a_pyramidals_48[24].apical4.v(0.5)) ') h.v_v_outputFile21______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/4/v h(' objectvar v_v_outputFile21_______ ') h(' { v_v_outputFile21_______ = new Vector() } ') h(' v_v_outputFile21_______.record(&a_pyramidals_48[25].apical4.v(0.5)) ') h.v_v_outputFile21_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/4/v h(' objectvar v_v_outputFile21________ ') h(' { v_v_outputFile21________ = new Vector() } ') h(' v_v_outputFile21________.record(&a_pyramidals_48[26].apical4.v(0.5)) ') h.v_v_outputFile21________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/4/v h(' objectvar v_v_outputFile21_________ ') h(' { v_v_outputFile21_________ = new Vector() } ') h(' v_v_outputFile21_________.record(&a_pyramidals_48[27].apical4.v(0.5)) ') h.v_v_outputFile21_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile25 # Column: pyramidals_48/10/pyr_4_sym/5/v h(' objectvar v_v_outputFile25 ') h(' { v_v_outputFile25 = new Vector() } ') h(' v_v_outputFile25.record(&a_pyramidals_48[10].apical1.v(0.5)) ') h.v_v_outputFile25.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/5/v h(' objectvar v_v_outputFile25_ ') h(' { v_v_outputFile25_ = new Vector() } ') h(' v_v_outputFile25_.record(&a_pyramidals_48[11].apical1.v(0.5)) ') h.v_v_outputFile25_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/5/v h(' objectvar v_v_outputFile25__ ') h(' { v_v_outputFile25__ = new Vector() } ') h(' v_v_outputFile25__.record(&a_pyramidals_48[12].apical1.v(0.5)) ') h.v_v_outputFile25__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/5/v h(' objectvar v_v_outputFile25___ ') h(' { v_v_outputFile25___ = new Vector() } ') h(' v_v_outputFile25___.record(&a_pyramidals_48[13].apical1.v(0.5)) ') h.v_v_outputFile25___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/5/v h(' objectvar v_v_outputFile25____ ') h(' { v_v_outputFile25____ = new Vector() } ') h(' v_v_outputFile25____.record(&a_pyramidals_48[14].apical1.v(0.5)) ') h.v_v_outputFile25____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/5/v h(' objectvar v_v_outputFile25_____ ') h(' { v_v_outputFile25_____ = new Vector() } ') h(' v_v_outputFile25_____.record(&a_pyramidals_48[15].apical1.v(0.5)) ') h.v_v_outputFile25_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/5/v h(' objectvar v_v_outputFile25______ ') h(' { v_v_outputFile25______ = new Vector() } ') h(' v_v_outputFile25______.record(&a_pyramidals_48[16].apical1.v(0.5)) ') h.v_v_outputFile25______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/5/v h(' objectvar v_v_outputFile25_______ ') h(' { v_v_outputFile25_______ = new Vector() } ') h(' v_v_outputFile25_______.record(&a_pyramidals_48[17].apical1.v(0.5)) ') h.v_v_outputFile25_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/5/v h(' objectvar v_v_outputFile25________ ') h(' { v_v_outputFile25________ = new Vector() } ') h(' v_v_outputFile25________.record(&a_pyramidals_48[18].apical1.v(0.5)) ') h.v_v_outputFile25________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/5/v h(' objectvar v_v_outputFile25_________ ') h(' { v_v_outputFile25_________ = new Vector() } ') h(' v_v_outputFile25_________.record(&a_pyramidals_48[19].apical1.v(0.5)) ') h.v_v_outputFile25_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile12 # Column: pyramidals_48/24/pyr_4_sym/2/v h(' objectvar v_v_outputFile12 ') h(' { v_v_outputFile12 = new Vector() } ') h(' v_v_outputFile12.record(&a_pyramidals_48[24].apical2.v(0.5)) ') h.v_v_outputFile12.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/2/v h(' objectvar v_v_outputFile12_ ') h(' { v_v_outputFile12_ = new Vector() } ') h(' v_v_outputFile12_.record(&a_pyramidals_48[25].apical2.v(0.5)) ') h.v_v_outputFile12_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/2/v h(' objectvar v_v_outputFile12__ ') h(' { v_v_outputFile12__ = new Vector() } ') h(' v_v_outputFile12__.record(&a_pyramidals_48[26].apical2.v(0.5)) ') h.v_v_outputFile12__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/2/v h(' objectvar v_v_outputFile12___ ') h(' { v_v_outputFile12___ = new Vector() } ') h(' v_v_outputFile12___.record(&a_pyramidals_48[27].apical2.v(0.5)) ') h.v_v_outputFile12___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/2/v h(' objectvar v_v_outputFile12____ ') h(' { v_v_outputFile12____ = new Vector() } ') h(' v_v_outputFile12____.record(&a_pyramidals_48[28].apical2.v(0.5)) ') h.v_v_outputFile12____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/2/v h(' objectvar v_v_outputFile12_____ ') h(' { v_v_outputFile12_____ = new Vector() } ') h(' v_v_outputFile12_____.record(&a_pyramidals_48[29].apical2.v(0.5)) ') h.v_v_outputFile12_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/2/v h(' objectvar v_v_outputFile12______ ') h(' { v_v_outputFile12______ = new Vector() } ') h(' v_v_outputFile12______.record(&a_pyramidals_48[30].apical2.v(0.5)) ') h.v_v_outputFile12______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/2/v h(' objectvar v_v_outputFile12_______ ') h(' { v_v_outputFile12_______ = new Vector() } ') h(' v_v_outputFile12_______.record(&a_pyramidals_48[31].apical2.v(0.5)) ') h.v_v_outputFile12_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/2/v h(' objectvar v_v_outputFile12________ ') h(' { v_v_outputFile12________ = new Vector() } ') h(' v_v_outputFile12________.record(&a_pyramidals_48[32].apical2.v(0.5)) ') h.v_v_outputFile12________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/2/v h(' objectvar v_v_outputFile12_________ ') h(' { v_v_outputFile12_________ = new Vector() } ') h(' v_v_outputFile12_________.record(&a_pyramidals_48[33].apical2.v(0.5)) ') h.v_v_outputFile12_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile26 # Column: pyramidals_48/20/pyr_4_sym/5/v h(' objectvar v_v_outputFile26 ') h(' { v_v_outputFile26 = new Vector() } ') h(' v_v_outputFile26.record(&a_pyramidals_48[20].apical1.v(0.5)) ') h.v_v_outputFile26.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/5/v h(' objectvar v_v_outputFile26_ ') h(' { v_v_outputFile26_ = new Vector() } ') h(' v_v_outputFile26_.record(&a_pyramidals_48[21].apical1.v(0.5)) ') h.v_v_outputFile26_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/5/v h(' objectvar v_v_outputFile26__ ') h(' { v_v_outputFile26__ = new Vector() } ') h(' v_v_outputFile26__.record(&a_pyramidals_48[22].apical1.v(0.5)) ') h.v_v_outputFile26__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/5/v h(' objectvar v_v_outputFile26___ ') h(' { v_v_outputFile26___ = new Vector() } ') h(' v_v_outputFile26___.record(&a_pyramidals_48[23].apical1.v(0.5)) ') h.v_v_outputFile26___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/5/v h(' objectvar v_v_outputFile26____ ') h(' { v_v_outputFile26____ = new Vector() } ') h(' v_v_outputFile26____.record(&a_pyramidals_48[24].apical1.v(0.5)) ') h.v_v_outputFile26____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/5/v h(' objectvar v_v_outputFile26_____ ') h(' { v_v_outputFile26_____ = new Vector() } ') h(' v_v_outputFile26_____.record(&a_pyramidals_48[25].apical1.v(0.5)) ') h.v_v_outputFile26_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/5/v h(' objectvar v_v_outputFile26______ ') h(' { v_v_outputFile26______ = new Vector() } ') h(' v_v_outputFile26______.record(&a_pyramidals_48[26].apical1.v(0.5)) ') h.v_v_outputFile26______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/5/v h(' objectvar v_v_outputFile26_______ ') h(' { v_v_outputFile26_______ = new Vector() } ') h(' v_v_outputFile26_______.record(&a_pyramidals_48[27].apical1.v(0.5)) ') h.v_v_outputFile26_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/5/v h(' objectvar v_v_outputFile26________ ') h(' { v_v_outputFile26________ = new Vector() } ') h(' v_v_outputFile26________.record(&a_pyramidals_48[28].apical1.v(0.5)) ') h.v_v_outputFile26________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/5/v h(' objectvar v_v_outputFile26_________ ') h(' { v_v_outputFile26_________ = new Vector() } ') h(' v_v_outputFile26_________.record(&a_pyramidals_48[29].apical1.v(0.5)) ') h.v_v_outputFile26_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile13 # Column: pyramidals_48/34/pyr_4_sym/2/v h(' objectvar v_v_outputFile13 ') h(' { v_v_outputFile13 = new Vector() } ') h(' v_v_outputFile13.record(&a_pyramidals_48[34].apical2.v(0.5)) ') h.v_v_outputFile13.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/2/v h(' objectvar v_v_outputFile13_ ') h(' { v_v_outputFile13_ = new Vector() } ') h(' v_v_outputFile13_.record(&a_pyramidals_48[35].apical2.v(0.5)) ') h.v_v_outputFile13_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/2/v h(' objectvar v_v_outputFile13__ ') h(' { v_v_outputFile13__ = new Vector() } ') h(' v_v_outputFile13__.record(&a_pyramidals_48[36].apical2.v(0.5)) ') h.v_v_outputFile13__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/2/v h(' objectvar v_v_outputFile13___ ') h(' { v_v_outputFile13___ = new Vector() } ') h(' v_v_outputFile13___.record(&a_pyramidals_48[37].apical2.v(0.5)) ') h.v_v_outputFile13___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/2/v h(' objectvar v_v_outputFile13____ ') h(' { v_v_outputFile13____ = new Vector() } ') h(' v_v_outputFile13____.record(&a_pyramidals_48[38].apical2.v(0.5)) ') h.v_v_outputFile13____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/2/v h(' objectvar v_v_outputFile13_____ ') h(' { v_v_outputFile13_____ = new Vector() } ') h(' v_v_outputFile13_____.record(&a_pyramidals_48[39].apical2.v(0.5)) ') h.v_v_outputFile13_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/2/v h(' objectvar v_v_outputFile13______ ') h(' { v_v_outputFile13______ = new Vector() } ') h(' v_v_outputFile13______.record(&a_pyramidals_48[40].apical2.v(0.5)) ') h.v_v_outputFile13______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/2/v h(' objectvar v_v_outputFile13_______ ') h(' { v_v_outputFile13_______ = new Vector() } ') h(' v_v_outputFile13_______.record(&a_pyramidals_48[41].apical2.v(0.5)) ') h.v_v_outputFile13_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/2/v h(' objectvar v_v_outputFile13________ ') h(' { v_v_outputFile13________ = new Vector() } ') h(' v_v_outputFile13________.record(&a_pyramidals_48[42].apical2.v(0.5)) ') h.v_v_outputFile13________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/2/v h(' objectvar v_v_outputFile13_________ ') h(' { v_v_outputFile13_________ = new Vector() } ') h(' v_v_outputFile13_________.record(&a_pyramidals_48[43].apical2.v(0.5)) ') h.v_v_outputFile13_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile27 # Column: pyramidals_48/30/pyr_4_sym/5/v h(' objectvar v_v_outputFile27 ') h(' { v_v_outputFile27 = new Vector() } ') h(' v_v_outputFile27.record(&a_pyramidals_48[30].apical1.v(0.5)) ') h.v_v_outputFile27.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/5/v h(' objectvar v_v_outputFile27_ ') h(' { v_v_outputFile27_ = new Vector() } ') h(' v_v_outputFile27_.record(&a_pyramidals_48[31].apical1.v(0.5)) ') h.v_v_outputFile27_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/32/pyr_4_sym/5/v h(' objectvar v_v_outputFile27__ ') h(' { v_v_outputFile27__ = new Vector() } ') h(' v_v_outputFile27__.record(&a_pyramidals_48[32].apical1.v(0.5)) ') h.v_v_outputFile27__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/5/v h(' objectvar v_v_outputFile27___ ') h(' { v_v_outputFile27___ = new Vector() } ') h(' v_v_outputFile27___.record(&a_pyramidals_48[33].apical1.v(0.5)) ') h.v_v_outputFile27___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/5/v h(' objectvar v_v_outputFile27____ ') h(' { v_v_outputFile27____ = new Vector() } ') h(' v_v_outputFile27____.record(&a_pyramidals_48[34].apical1.v(0.5)) ') h.v_v_outputFile27____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/5/v h(' objectvar v_v_outputFile27_____ ') h(' { v_v_outputFile27_____ = new Vector() } ') h(' v_v_outputFile27_____.record(&a_pyramidals_48[35].apical1.v(0.5)) ') h.v_v_outputFile27_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/5/v h(' objectvar v_v_outputFile27______ ') h(' { v_v_outputFile27______ = new Vector() } ') h(' v_v_outputFile27______.record(&a_pyramidals_48[36].apical1.v(0.5)) ') h.v_v_outputFile27______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/5/v h(' objectvar v_v_outputFile27_______ ') h(' { v_v_outputFile27_______ = new Vector() } ') h(' v_v_outputFile27_______.record(&a_pyramidals_48[37].apical1.v(0.5)) ') h.v_v_outputFile27_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/5/v h(' objectvar v_v_outputFile27________ ') h(' { v_v_outputFile27________ = new Vector() } ') h(' v_v_outputFile27________.record(&a_pyramidals_48[38].apical1.v(0.5)) ') h.v_v_outputFile27________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/5/v h(' objectvar v_v_outputFile27_________ ') h(' { v_v_outputFile27_________ = new Vector() } ') h(' v_v_outputFile27_________.record(&a_pyramidals_48[39].apical1.v(0.5)) ') h.v_v_outputFile27_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile10 # Column: pyramidals_48/4/pyr_4_sym/2/v h(' objectvar v_v_outputFile10 ') h(' { v_v_outputFile10 = new Vector() } ') h(' v_v_outputFile10.record(&a_pyramidals_48[4].apical2.v(0.5)) ') h.v_v_outputFile10.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/2/v h(' objectvar v_v_outputFile10_ ') h(' { v_v_outputFile10_ = new Vector() } ') h(' v_v_outputFile10_.record(&a_pyramidals_48[5].apical2.v(0.5)) ') h.v_v_outputFile10_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/2/v h(' objectvar v_v_outputFile10__ ') h(' { v_v_outputFile10__ = new Vector() } ') h(' v_v_outputFile10__.record(&a_pyramidals_48[6].apical2.v(0.5)) ') h.v_v_outputFile10__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/2/v h(' objectvar v_v_outputFile10___ ') h(' { v_v_outputFile10___ = new Vector() } ') h(' v_v_outputFile10___.record(&a_pyramidals_48[7].apical2.v(0.5)) ') h.v_v_outputFile10___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/2/v h(' objectvar v_v_outputFile10____ ') h(' { v_v_outputFile10____ = new Vector() } ') h(' v_v_outputFile10____.record(&a_pyramidals_48[8].apical2.v(0.5)) ') h.v_v_outputFile10____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/2/v h(' objectvar v_v_outputFile10_____ ') h(' { v_v_outputFile10_____ = new Vector() } ') h(' v_v_outputFile10_____.record(&a_pyramidals_48[9].apical2.v(0.5)) ') h.v_v_outputFile10_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/2/v h(' objectvar v_v_outputFile10______ ') h(' { v_v_outputFile10______ = new Vector() } ') h(' v_v_outputFile10______.record(&a_pyramidals_48[10].apical2.v(0.5)) ') h.v_v_outputFile10______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/2/v h(' objectvar v_v_outputFile10_______ ') h(' { v_v_outputFile10_______ = new Vector() } ') h(' v_v_outputFile10_______.record(&a_pyramidals_48[11].apical2.v(0.5)) ') h.v_v_outputFile10_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/2/v h(' objectvar v_v_outputFile10________ ') h(' { v_v_outputFile10________ = new Vector() } ') h(' v_v_outputFile10________.record(&a_pyramidals_48[12].apical2.v(0.5)) ') h.v_v_outputFile10________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/2/v h(' objectvar v_v_outputFile10_________ ') h(' { v_v_outputFile10_________ = new Vector() } ') h(' v_v_outputFile10_________.record(&a_pyramidals_48[13].apical2.v(0.5)) ') h.v_v_outputFile10_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile28 # Column: pyramidals_48/40/pyr_4_sym/5/v h(' objectvar v_v_outputFile28 ') h(' { v_v_outputFile28 = new Vector() } ') h(' v_v_outputFile28.record(&a_pyramidals_48[40].apical1.v(0.5)) ') h.v_v_outputFile28.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/5/v h(' objectvar v_v_outputFile28_ ') h(' { v_v_outputFile28_ = new Vector() } ') h(' v_v_outputFile28_.record(&a_pyramidals_48[41].apical1.v(0.5)) ') h.v_v_outputFile28_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/42/pyr_4_sym/5/v h(' objectvar v_v_outputFile28__ ') h(' { v_v_outputFile28__ = new Vector() } ') h(' v_v_outputFile28__.record(&a_pyramidals_48[42].apical1.v(0.5)) ') h.v_v_outputFile28__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/5/v h(' objectvar v_v_outputFile28___ ') h(' { v_v_outputFile28___ = new Vector() } ') h(' v_v_outputFile28___.record(&a_pyramidals_48[43].apical1.v(0.5)) ') h.v_v_outputFile28___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/5/v h(' objectvar v_v_outputFile28____ ') h(' { v_v_outputFile28____ = new Vector() } ') h(' v_v_outputFile28____.record(&a_pyramidals_48[44].apical1.v(0.5)) ') h.v_v_outputFile28____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/5/v h(' objectvar v_v_outputFile28_____ ') h(' { v_v_outputFile28_____ = new Vector() } ') h(' v_v_outputFile28_____.record(&a_pyramidals_48[45].apical1.v(0.5)) ') h.v_v_outputFile28_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/5/v h(' objectvar v_v_outputFile28______ ') h(' { v_v_outputFile28______ = new Vector() } ') h(' v_v_outputFile28______.record(&a_pyramidals_48[46].apical1.v(0.5)) ') h.v_v_outputFile28______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/5/v h(' objectvar v_v_outputFile28_______ ') h(' { v_v_outputFile28_______ = new Vector() } ') h(' v_v_outputFile28_______.record(&a_pyramidals_48[47].apical1.v(0.5)) ') h.v_v_outputFile28_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/6/v h(' objectvar v_v_outputFile28________ ') h(' { v_v_outputFile28________ = new Vector() } ') h(' v_v_outputFile28________.record(&a_pyramidals_48[0].basal0.v(0.5)) ') h.v_v_outputFile28________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/6/v h(' objectvar v_v_outputFile28_________ ') h(' { v_v_outputFile28_________ = new Vector() } ') h(' v_v_outputFile28_________.record(&a_pyramidals_48[1].basal0.v(0.5)) ') h.v_v_outputFile28_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile11 # Column: pyramidals_48/14/pyr_4_sym/2/v h(' objectvar v_v_outputFile11 ') h(' { v_v_outputFile11 = new Vector() } ') h(' v_v_outputFile11.record(&a_pyramidals_48[14].apical2.v(0.5)) ') h.v_v_outputFile11.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/2/v h(' objectvar v_v_outputFile11_ ') h(' { v_v_outputFile11_ = new Vector() } ') h(' v_v_outputFile11_.record(&a_pyramidals_48[15].apical2.v(0.5)) ') h.v_v_outputFile11_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/2/v h(' objectvar v_v_outputFile11__ ') h(' { v_v_outputFile11__ = new Vector() } ') h(' v_v_outputFile11__.record(&a_pyramidals_48[16].apical2.v(0.5)) ') h.v_v_outputFile11__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/2/v h(' objectvar v_v_outputFile11___ ') h(' { v_v_outputFile11___ = new Vector() } ') h(' v_v_outputFile11___.record(&a_pyramidals_48[17].apical2.v(0.5)) ') h.v_v_outputFile11___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/2/v h(' objectvar v_v_outputFile11____ ') h(' { v_v_outputFile11____ = new Vector() } ') h(' v_v_outputFile11____.record(&a_pyramidals_48[18].apical2.v(0.5)) ') h.v_v_outputFile11____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/2/v h(' objectvar v_v_outputFile11_____ ') h(' { v_v_outputFile11_____ = new Vector() } ') h(' v_v_outputFile11_____.record(&a_pyramidals_48[19].apical2.v(0.5)) ') h.v_v_outputFile11_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/2/v h(' objectvar v_v_outputFile11______ ') h(' { v_v_outputFile11______ = new Vector() } ') h(' v_v_outputFile11______.record(&a_pyramidals_48[20].apical2.v(0.5)) ') h.v_v_outputFile11______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/2/v h(' objectvar v_v_outputFile11_______ ') h(' { v_v_outputFile11_______ = new Vector() } ') h(' v_v_outputFile11_______.record(&a_pyramidals_48[21].apical2.v(0.5)) ') h.v_v_outputFile11_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/2/v h(' objectvar v_v_outputFile11________ ') h(' { v_v_outputFile11________ = new Vector() } ') h(' v_v_outputFile11________.record(&a_pyramidals_48[22].apical2.v(0.5)) ') h.v_v_outputFile11________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/2/v h(' objectvar v_v_outputFile11_________ ') h(' { v_v_outputFile11_________ = new Vector() } ') h(' v_v_outputFile11_________.record(&a_pyramidals_48[23].apical2.v(0.5)) ') h.v_v_outputFile11_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile29 # Column: pyramidals_48/2/pyr_4_sym/6/v h(' objectvar v_v_outputFile29 ') h(' { v_v_outputFile29 = new Vector() } ') h(' v_v_outputFile29.record(&a_pyramidals_48[2].basal0.v(0.5)) ') h.v_v_outputFile29.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/6/v h(' objectvar v_v_outputFile29_ ') h(' { v_v_outputFile29_ = new Vector() } ') h(' v_v_outputFile29_.record(&a_pyramidals_48[3].basal0.v(0.5)) ') h.v_v_outputFile29_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/4/pyr_4_sym/6/v h(' objectvar v_v_outputFile29__ ') h(' { v_v_outputFile29__ = new Vector() } ') h(' v_v_outputFile29__.record(&a_pyramidals_48[4].basal0.v(0.5)) ') h.v_v_outputFile29__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/6/v h(' objectvar v_v_outputFile29___ ') h(' { v_v_outputFile29___ = new Vector() } ') h(' v_v_outputFile29___.record(&a_pyramidals_48[5].basal0.v(0.5)) ') h.v_v_outputFile29___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/6/v h(' objectvar v_v_outputFile29____ ') h(' { v_v_outputFile29____ = new Vector() } ') h(' v_v_outputFile29____.record(&a_pyramidals_48[6].basal0.v(0.5)) ') h.v_v_outputFile29____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/6/v h(' objectvar v_v_outputFile29_____ ') h(' { v_v_outputFile29_____ = new Vector() } ') h(' v_v_outputFile29_____.record(&a_pyramidals_48[7].basal0.v(0.5)) ') h.v_v_outputFile29_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/6/v h(' objectvar v_v_outputFile29______ ') h(' { v_v_outputFile29______ = new Vector() } ') h(' v_v_outputFile29______.record(&a_pyramidals_48[8].basal0.v(0.5)) ') h.v_v_outputFile29______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/6/v h(' objectvar v_v_outputFile29_______ ') h(' { v_v_outputFile29_______ = new Vector() } ') h(' v_v_outputFile29_______.record(&a_pyramidals_48[9].basal0.v(0.5)) ') h.v_v_outputFile29_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/6/v h(' objectvar v_v_outputFile29________ ') h(' { v_v_outputFile29________ = new Vector() } ') h(' v_v_outputFile29________.record(&a_pyramidals_48[10].basal0.v(0.5)) ') h.v_v_outputFile29________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/6/v h(' objectvar v_v_outputFile29_________ ') h(' { v_v_outputFile29_________ = new Vector() } ') h(' v_v_outputFile29_________.record(&a_pyramidals_48[11].basal0.v(0.5)) ') h.v_v_outputFile29_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile31 # Column: pyramidals_48/22/pyr_4_sym/6/v h(' objectvar v_v_outputFile31 ') h(' { v_v_outputFile31 = new Vector() } ') h(' v_v_outputFile31.record(&a_pyramidals_48[22].basal0.v(0.5)) ') h.v_v_outputFile31.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/6/v h(' objectvar v_v_outputFile31_ ') h(' { v_v_outputFile31_ = new Vector() } ') h(' v_v_outputFile31_.record(&a_pyramidals_48[23].basal0.v(0.5)) ') h.v_v_outputFile31_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/24/pyr_4_sym/6/v h(' objectvar v_v_outputFile31__ ') h(' { v_v_outputFile31__ = new Vector() } ') h(' v_v_outputFile31__.record(&a_pyramidals_48[24].basal0.v(0.5)) ') h.v_v_outputFile31__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/25/pyr_4_sym/6/v h(' objectvar v_v_outputFile31___ ') h(' { v_v_outputFile31___ = new Vector() } ') h(' v_v_outputFile31___.record(&a_pyramidals_48[25].basal0.v(0.5)) ') h.v_v_outputFile31___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/26/pyr_4_sym/6/v h(' objectvar v_v_outputFile31____ ') h(' { v_v_outputFile31____ = new Vector() } ') h(' v_v_outputFile31____.record(&a_pyramidals_48[26].basal0.v(0.5)) ') h.v_v_outputFile31____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/27/pyr_4_sym/6/v h(' objectvar v_v_outputFile31_____ ') h(' { v_v_outputFile31_____ = new Vector() } ') h(' v_v_outputFile31_____.record(&a_pyramidals_48[27].basal0.v(0.5)) ') h.v_v_outputFile31_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/28/pyr_4_sym/6/v h(' objectvar v_v_outputFile31______ ') h(' { v_v_outputFile31______ = new Vector() } ') h(' v_v_outputFile31______.record(&a_pyramidals_48[28].basal0.v(0.5)) ') h.v_v_outputFile31______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/29/pyr_4_sym/6/v h(' objectvar v_v_outputFile31_______ ') h(' { v_v_outputFile31_______ = new Vector() } ') h(' v_v_outputFile31_______.record(&a_pyramidals_48[29].basal0.v(0.5)) ') h.v_v_outputFile31_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/30/pyr_4_sym/6/v h(' objectvar v_v_outputFile31________ ') h(' { v_v_outputFile31________ = new Vector() } ') h(' v_v_outputFile31________.record(&a_pyramidals_48[30].basal0.v(0.5)) ') h.v_v_outputFile31________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/31/pyr_4_sym/6/v h(' objectvar v_v_outputFile31_________ ') h(' { v_v_outputFile31_________ = new Vector() } ') h(' v_v_outputFile31_________.record(&a_pyramidals_48[31].basal0.v(0.5)) ') h.v_v_outputFile31_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile30 # Column: pyramidals_48/12/pyr_4_sym/6/v h(' objectvar v_v_outputFile30 ') h(' { v_v_outputFile30 = new Vector() } ') h(' v_v_outputFile30.record(&a_pyramidals_48[12].basal0.v(0.5)) ') h.v_v_outputFile30.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/6/v h(' objectvar v_v_outputFile30_ ') h(' { v_v_outputFile30_ = new Vector() } ') h(' v_v_outputFile30_.record(&a_pyramidals_48[13].basal0.v(0.5)) ') h.v_v_outputFile30_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/14/pyr_4_sym/6/v h(' objectvar v_v_outputFile30__ ') h(' { v_v_outputFile30__ = new Vector() } ') h(' v_v_outputFile30__.record(&a_pyramidals_48[14].basal0.v(0.5)) ') h.v_v_outputFile30__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/6/v h(' objectvar v_v_outputFile30___ ') h(' { v_v_outputFile30___ = new Vector() } ') h(' v_v_outputFile30___.record(&a_pyramidals_48[15].basal0.v(0.5)) ') h.v_v_outputFile30___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/6/v h(' objectvar v_v_outputFile30____ ') h(' { v_v_outputFile30____ = new Vector() } ') h(' v_v_outputFile30____.record(&a_pyramidals_48[16].basal0.v(0.5)) ') h.v_v_outputFile30____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/6/v h(' objectvar v_v_outputFile30_____ ') h(' { v_v_outputFile30_____ = new Vector() } ') h(' v_v_outputFile30_____.record(&a_pyramidals_48[17].basal0.v(0.5)) ') h.v_v_outputFile30_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/6/v h(' objectvar v_v_outputFile30______ ') h(' { v_v_outputFile30______ = new Vector() } ') h(' v_v_outputFile30______.record(&a_pyramidals_48[18].basal0.v(0.5)) ') h.v_v_outputFile30______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/6/v h(' objectvar v_v_outputFile30_______ ') h(' { v_v_outputFile30_______ = new Vector() } ') h(' v_v_outputFile30_______.record(&a_pyramidals_48[19].basal0.v(0.5)) ') h.v_v_outputFile30_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/6/v h(' objectvar v_v_outputFile30________ ') h(' { v_v_outputFile30________ = new Vector() } ') h(' v_v_outputFile30________.record(&a_pyramidals_48[20].basal0.v(0.5)) ') h.v_v_outputFile30________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/6/v h(' objectvar v_v_outputFile30_________ ') h(' { v_v_outputFile30_________ = new Vector() } ') h(' v_v_outputFile30_________.record(&a_pyramidals_48[21].basal0.v(0.5)) ') h.v_v_outputFile30_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile33 # Column: pyramidals_48/42/pyr_4_sym/6/v h(' objectvar v_v_outputFile33 ') h(' { v_v_outputFile33 = new Vector() } ') h(' v_v_outputFile33.record(&a_pyramidals_48[42].basal0.v(0.5)) ') h.v_v_outputFile33.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/43/pyr_4_sym/6/v h(' objectvar v_v_outputFile33_ ') h(' { v_v_outputFile33_ = new Vector() } ') h(' v_v_outputFile33_.record(&a_pyramidals_48[43].basal0.v(0.5)) ') h.v_v_outputFile33_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/44/pyr_4_sym/6/v h(' objectvar v_v_outputFile33__ ') h(' { v_v_outputFile33__ = new Vector() } ') h(' v_v_outputFile33__.record(&a_pyramidals_48[44].basal0.v(0.5)) ') h.v_v_outputFile33__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/45/pyr_4_sym/6/v h(' objectvar v_v_outputFile33___ ') h(' { v_v_outputFile33___ = new Vector() } ') h(' v_v_outputFile33___.record(&a_pyramidals_48[45].basal0.v(0.5)) ') h.v_v_outputFile33___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/46/pyr_4_sym/6/v h(' objectvar v_v_outputFile33____ ') h(' { v_v_outputFile33____ = new Vector() } ') h(' v_v_outputFile33____.record(&a_pyramidals_48[46].basal0.v(0.5)) ') h.v_v_outputFile33____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/47/pyr_4_sym/6/v h(' objectvar v_v_outputFile33_____ ') h(' { v_v_outputFile33_____ = new Vector() } ') h(' v_v_outputFile33_____.record(&a_pyramidals_48[47].basal0.v(0.5)) ') h.v_v_outputFile33_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/0/pyr_4_sym/7/v h(' objectvar v_v_outputFile33______ ') h(' { v_v_outputFile33______ = new Vector() } ') h(' v_v_outputFile33______.record(&a_pyramidals_48[0].basal1.v(0.5)) ') h.v_v_outputFile33______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/1/pyr_4_sym/7/v h(' objectvar v_v_outputFile33_______ ') h(' { v_v_outputFile33_______ = new Vector() } ') h(' v_v_outputFile33_______.record(&a_pyramidals_48[1].basal1.v(0.5)) ') h.v_v_outputFile33_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/2/pyr_4_sym/7/v h(' objectvar v_v_outputFile33________ ') h(' { v_v_outputFile33________ = new Vector() } ') h(' v_v_outputFile33________.record(&a_pyramidals_48[2].basal1.v(0.5)) ') h.v_v_outputFile33________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/3/pyr_4_sym/7/v h(' objectvar v_v_outputFile33_________ ') h(' { v_v_outputFile33_________ = new Vector() } ') h(' v_v_outputFile33_________.record(&a_pyramidals_48[3].basal1.v(0.5)) ') h.v_v_outputFile33_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile32 # Column: pyramidals_48/32/pyr_4_sym/6/v h(' objectvar v_v_outputFile32 ') h(' { v_v_outputFile32 = new Vector() } ') h(' v_v_outputFile32.record(&a_pyramidals_48[32].basal0.v(0.5)) ') h.v_v_outputFile32.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/33/pyr_4_sym/6/v h(' objectvar v_v_outputFile32_ ') h(' { v_v_outputFile32_ = new Vector() } ') h(' v_v_outputFile32_.record(&a_pyramidals_48[33].basal0.v(0.5)) ') h.v_v_outputFile32_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/34/pyr_4_sym/6/v h(' objectvar v_v_outputFile32__ ') h(' { v_v_outputFile32__ = new Vector() } ') h(' v_v_outputFile32__.record(&a_pyramidals_48[34].basal0.v(0.5)) ') h.v_v_outputFile32__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/35/pyr_4_sym/6/v h(' objectvar v_v_outputFile32___ ') h(' { v_v_outputFile32___ = new Vector() } ') h(' v_v_outputFile32___.record(&a_pyramidals_48[35].basal0.v(0.5)) ') h.v_v_outputFile32___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/36/pyr_4_sym/6/v h(' objectvar v_v_outputFile32____ ') h(' { v_v_outputFile32____ = new Vector() } ') h(' v_v_outputFile32____.record(&a_pyramidals_48[36].basal0.v(0.5)) ') h.v_v_outputFile32____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/37/pyr_4_sym/6/v h(' objectvar v_v_outputFile32_____ ') h(' { v_v_outputFile32_____ = new Vector() } ') h(' v_v_outputFile32_____.record(&a_pyramidals_48[37].basal0.v(0.5)) ') h.v_v_outputFile32_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/38/pyr_4_sym/6/v h(' objectvar v_v_outputFile32______ ') h(' { v_v_outputFile32______ = new Vector() } ') h(' v_v_outputFile32______.record(&a_pyramidals_48[38].basal0.v(0.5)) ') h.v_v_outputFile32______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/39/pyr_4_sym/6/v h(' objectvar v_v_outputFile32_______ ') h(' { v_v_outputFile32_______ = new Vector() } ') h(' v_v_outputFile32_______.record(&a_pyramidals_48[39].basal0.v(0.5)) ') h.v_v_outputFile32_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/40/pyr_4_sym/6/v h(' objectvar v_v_outputFile32________ ') h(' { v_v_outputFile32________ = new Vector() } ') h(' v_v_outputFile32________.record(&a_pyramidals_48[40].basal0.v(0.5)) ') h.v_v_outputFile32________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/41/pyr_4_sym/6/v h(' objectvar v_v_outputFile32_________ ') h(' { v_v_outputFile32_________ = new Vector() } ') h(' v_v_outputFile32_________.record(&a_pyramidals_48[41].basal0.v(0.5)) ') h.v_v_outputFile32_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile35 # Column: pyramidals_48/14/pyr_4_sym/7/v h(' objectvar v_v_outputFile35 ') h(' { v_v_outputFile35 = new Vector() } ') h(' v_v_outputFile35.record(&a_pyramidals_48[14].basal1.v(0.5)) ') h.v_v_outputFile35.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/15/pyr_4_sym/7/v h(' objectvar v_v_outputFile35_ ') h(' { v_v_outputFile35_ = new Vector() } ') h(' v_v_outputFile35_.record(&a_pyramidals_48[15].basal1.v(0.5)) ') h.v_v_outputFile35_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/16/pyr_4_sym/7/v h(' objectvar v_v_outputFile35__ ') h(' { v_v_outputFile35__ = new Vector() } ') h(' v_v_outputFile35__.record(&a_pyramidals_48[16].basal1.v(0.5)) ') h.v_v_outputFile35__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/17/pyr_4_sym/7/v h(' objectvar v_v_outputFile35___ ') h(' { v_v_outputFile35___ = new Vector() } ') h(' v_v_outputFile35___.record(&a_pyramidals_48[17].basal1.v(0.5)) ') h.v_v_outputFile35___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/18/pyr_4_sym/7/v h(' objectvar v_v_outputFile35____ ') h(' { v_v_outputFile35____ = new Vector() } ') h(' v_v_outputFile35____.record(&a_pyramidals_48[18].basal1.v(0.5)) ') h.v_v_outputFile35____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/19/pyr_4_sym/7/v h(' objectvar v_v_outputFile35_____ ') h(' { v_v_outputFile35_____ = new Vector() } ') h(' v_v_outputFile35_____.record(&a_pyramidals_48[19].basal1.v(0.5)) ') h.v_v_outputFile35_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/20/pyr_4_sym/7/v h(' objectvar v_v_outputFile35______ ') h(' { v_v_outputFile35______ = new Vector() } ') h(' v_v_outputFile35______.record(&a_pyramidals_48[20].basal1.v(0.5)) ') h.v_v_outputFile35______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/21/pyr_4_sym/7/v h(' objectvar v_v_outputFile35_______ ') h(' { v_v_outputFile35_______ = new Vector() } ') h(' v_v_outputFile35_______.record(&a_pyramidals_48[21].basal1.v(0.5)) ') h.v_v_outputFile35_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/22/pyr_4_sym/7/v h(' objectvar v_v_outputFile35________ ') h(' { v_v_outputFile35________ = new Vector() } ') h(' v_v_outputFile35________.record(&a_pyramidals_48[22].basal1.v(0.5)) ') h.v_v_outputFile35________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/23/pyr_4_sym/7/v h(' objectvar v_v_outputFile35_________ ') h(' { v_v_outputFile35_________ = new Vector() } ') h(' v_v_outputFile35_________.record(&a_pyramidals_48[23].basal1.v(0.5)) ') h.v_v_outputFile35_________.resize((h.tstop * h.steps_per_ms) + 1) # File to save: outputFile34 # Column: pyramidals_48/4/pyr_4_sym/7/v h(' objectvar v_v_outputFile34 ') h(' { v_v_outputFile34 = new Vector() } ') h(' v_v_outputFile34.record(&a_pyramidals_48[4].basal1.v(0.5)) ') h.v_v_outputFile34.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/5/pyr_4_sym/7/v h(' objectvar v_v_outputFile34_ ') h(' { v_v_outputFile34_ = new Vector() } ') h(' v_v_outputFile34_.record(&a_pyramidals_48[5].basal1.v(0.5)) ') h.v_v_outputFile34_.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/6/pyr_4_sym/7/v h(' objectvar v_v_outputFile34__ ') h(' { v_v_outputFile34__ = new Vector() } ') h(' v_v_outputFile34__.record(&a_pyramidals_48[6].basal1.v(0.5)) ') h.v_v_outputFile34__.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/7/pyr_4_sym/7/v h(' objectvar v_v_outputFile34___ ') h(' { v_v_outputFile34___ = new Vector() } ') h(' v_v_outputFile34___.record(&a_pyramidals_48[7].basal1.v(0.5)) ') h.v_v_outputFile34___.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/8/pyr_4_sym/7/v h(' objectvar v_v_outputFile34____ ') h(' { v_v_outputFile34____ = new Vector() } ') h(' v_v_outputFile34____.record(&a_pyramidals_48[8].basal1.v(0.5)) ') h.v_v_outputFile34____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/9/pyr_4_sym/7/v h(' objectvar v_v_outputFile34_____ ') h(' { v_v_outputFile34_____ = new Vector() } ') h(' v_v_outputFile34_____.record(&a_pyramidals_48[9].basal1.v(0.5)) ') h.v_v_outputFile34_____.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/10/pyr_4_sym/7/v h(' objectvar v_v_outputFile34______ ') h(' { v_v_outputFile34______ = new Vector() } ') h(' v_v_outputFile34______.record(&a_pyramidals_48[10].basal1.v(0.5)) ') h.v_v_outputFile34______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/11/pyr_4_sym/7/v h(' objectvar v_v_outputFile34_______ ') h(' { v_v_outputFile34_______ = new Vector() } ') h(' v_v_outputFile34_______.record(&a_pyramidals_48[11].basal1.v(0.5)) ') h.v_v_outputFile34_______.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/12/pyr_4_sym/7/v h(' objectvar v_v_outputFile34________ ') h(' { v_v_outputFile34________ = new Vector() } ') h(' v_v_outputFile34________.record(&a_pyramidals_48[12].basal1.v(0.5)) ') h.v_v_outputFile34________.resize((h.tstop * h.steps_per_ms) + 1) # Column: pyramidals_48/13/pyr_4_sym/7/v h(' objectvar v_v_outputFile34_________ ') h(' { v_v_outputFile34_________ = new Vector() } ') h(' v_v_outputFile34_________.record(&a_pyramidals_48[13].basal1.v(0.5)) ') h.v_v_outputFile34_________.resize((h.tstop * h.steps_per_ms) + 1) sim_start = time.time() print("Running a simulation of %sms (dt = %sms)" % (h.tstop, h.dt)) h.run() sim_end = time.time() sim_time = sim_end - sim_start print("Finished simulation in %f seconds (%f mins), saving results..."%(sim_time, sim_time/60.0)) # File to save: time py_v_time = [ t/1000 for t in h.v_time.to_python() ] # Convert to Python list for speed... f_time_f2 = open('time.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_time_f2.write('%f'% py_v_time[i]) # Save in SI units...+ '\n') f_time_f2.close() print("Saved data to: time.dat") # File to save: outputFile16 py_v_v_outputFile16 = [ float(x / 1000.0) for x in h.v_v_outputFile16.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16_ = [ float(x / 1000.0) for x in h.v_v_outputFile16_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16__ = [ float(x / 1000.0) for x in h.v_v_outputFile16__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16___ = [ float(x / 1000.0) for x in h.v_v_outputFile16___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16____ = [ float(x / 1000.0) for x in h.v_v_outputFile16____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16_____ = [ float(x / 1000.0) for x in h.v_v_outputFile16_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16______ = [ float(x / 1000.0) for x in h.v_v_outputFile16______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16_______ = [ float(x / 1000.0) for x in h.v_v_outputFile16_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16________ = [ float(x / 1000.0) for x in h.v_v_outputFile16________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile16_________ = [ float(x / 1000.0) for x in h.v_v_outputFile16_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile16_f2 = open('results/results16.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile16_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile16[i]) + '%e\t'%(py_v_v_outputFile16_[i]) + '%e\t'%(py_v_v_outputFile16__[i]) + '%e\t'%(py_v_v_outputFile16___[i]) + '%e\t'%(py_v_v_outputFile16____[i]) + '%e\t'%(py_v_v_outputFile16_____[i]) + '%e\t'%(py_v_v_outputFile16______[i]) + '%e\t'%(py_v_v_outputFile16_______[i]) + '%e\t'%(py_v_v_outputFile16________[i]) + '%e\t'%(py_v_v_outputFile16_________[i]) + '\n') f_outputFile16_f2.close() print("Saved data to: results/results16.dat") # File to save: outputFile17 py_v_v_outputFile17 = [ float(x / 1000.0) for x in h.v_v_outputFile17.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17_ = [ float(x / 1000.0) for x in h.v_v_outputFile17_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17__ = [ float(x / 1000.0) for x in h.v_v_outputFile17__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17___ = [ float(x / 1000.0) for x in h.v_v_outputFile17___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17____ = [ float(x / 1000.0) for x in h.v_v_outputFile17____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17_____ = [ float(x / 1000.0) for x in h.v_v_outputFile17_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17______ = [ float(x / 1000.0) for x in h.v_v_outputFile17______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17_______ = [ float(x / 1000.0) for x in h.v_v_outputFile17_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17________ = [ float(x / 1000.0) for x in h.v_v_outputFile17________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile17_________ = [ float(x / 1000.0) for x in h.v_v_outputFile17_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile17_f2 = open('results/results17.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile17_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile17[i]) + '%e\t'%(py_v_v_outputFile17_[i]) + '%e\t'%(py_v_v_outputFile17__[i]) + '%e\t'%(py_v_v_outputFile17___[i]) + '%e\t'%(py_v_v_outputFile17____[i]) + '%e\t'%(py_v_v_outputFile17_____[i]) + '%e\t'%(py_v_v_outputFile17______[i]) + '%e\t'%(py_v_v_outputFile17_______[i]) + '%e\t'%(py_v_v_outputFile17________[i]) + '%e\t'%(py_v_v_outputFile17_________[i]) + '\n') f_outputFile17_f2.close() print("Saved data to: results/results17.dat") # File to save: outputFile14 py_v_v_outputFile14 = [ float(x / 1000.0) for x in h.v_v_outputFile14.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14_ = [ float(x / 1000.0) for x in h.v_v_outputFile14_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14__ = [ float(x / 1000.0) for x in h.v_v_outputFile14__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14___ = [ float(x / 1000.0) for x in h.v_v_outputFile14___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14____ = [ float(x / 1000.0) for x in h.v_v_outputFile14____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14_____ = [ float(x / 1000.0) for x in h.v_v_outputFile14_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14______ = [ float(x / 1000.0) for x in h.v_v_outputFile14______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14_______ = [ float(x / 1000.0) for x in h.v_v_outputFile14_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14________ = [ float(x / 1000.0) for x in h.v_v_outputFile14________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile14_________ = [ float(x / 1000.0) for x in h.v_v_outputFile14_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile14_f2 = open('results/results14.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile14_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile14[i]) + '%e\t'%(py_v_v_outputFile14_[i]) + '%e\t'%(py_v_v_outputFile14__[i]) + '%e\t'%(py_v_v_outputFile14___[i]) + '%e\t'%(py_v_v_outputFile14____[i]) + '%e\t'%(py_v_v_outputFile14_____[i]) + '%e\t'%(py_v_v_outputFile14______[i]) + '%e\t'%(py_v_v_outputFile14_______[i]) + '%e\t'%(py_v_v_outputFile14________[i]) + '%e\t'%(py_v_v_outputFile14_________[i]) + '\n') f_outputFile14_f2.close() print("Saved data to: results/results14.dat") # File to save: outputFile15 py_v_v_outputFile15 = [ float(x / 1000.0) for x in h.v_v_outputFile15.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15_ = [ float(x / 1000.0) for x in h.v_v_outputFile15_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15__ = [ float(x / 1000.0) for x in h.v_v_outputFile15__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15___ = [ float(x / 1000.0) for x in h.v_v_outputFile15___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15____ = [ float(x / 1000.0) for x in h.v_v_outputFile15____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15_____ = [ float(x / 1000.0) for x in h.v_v_outputFile15_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15______ = [ float(x / 1000.0) for x in h.v_v_outputFile15______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15_______ = [ float(x / 1000.0) for x in h.v_v_outputFile15_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15________ = [ float(x / 1000.0) for x in h.v_v_outputFile15________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile15_________ = [ float(x / 1000.0) for x in h.v_v_outputFile15_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile15_f2 = open('results/results15.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile15_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile15[i]) + '%e\t'%(py_v_v_outputFile15_[i]) + '%e\t'%(py_v_v_outputFile15__[i]) + '%e\t'%(py_v_v_outputFile15___[i]) + '%e\t'%(py_v_v_outputFile15____[i]) + '%e\t'%(py_v_v_outputFile15_____[i]) + '%e\t'%(py_v_v_outputFile15______[i]) + '%e\t'%(py_v_v_outputFile15_______[i]) + '%e\t'%(py_v_v_outputFile15________[i]) + '%e\t'%(py_v_v_outputFile15_________[i]) + '\n') f_outputFile15_f2.close() print("Saved data to: results/results15.dat") # File to save: outputFile38 py_v_v_outputFile38 = [ float(x / 1000.0) for x in h.v_v_outputFile38.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38_ = [ float(x / 1000.0) for x in h.v_v_outputFile38_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38__ = [ float(x / 1000.0) for x in h.v_v_outputFile38__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38___ = [ float(x / 1000.0) for x in h.v_v_outputFile38___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38____ = [ float(x / 1000.0) for x in h.v_v_outputFile38____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38_____ = [ float(x / 1000.0) for x in h.v_v_outputFile38_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38______ = [ float(x / 1000.0) for x in h.v_v_outputFile38______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38_______ = [ float(x / 1000.0) for x in h.v_v_outputFile38_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38________ = [ float(x / 1000.0) for x in h.v_v_outputFile38________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile38_________ = [ float(x / 1000.0) for x in h.v_v_outputFile38_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile38_f2 = open('results/results38.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile38_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile38[i]) + '%e\t'%(py_v_v_outputFile38_[i]) + '%e\t'%(py_v_v_outputFile38__[i]) + '%e\t'%(py_v_v_outputFile38___[i]) + '%e\t'%(py_v_v_outputFile38____[i]) + '%e\t'%(py_v_v_outputFile38_____[i]) + '%e\t'%(py_v_v_outputFile38______[i]) + '%e\t'%(py_v_v_outputFile38_______[i]) + '%e\t'%(py_v_v_outputFile38________[i]) + '%e\t'%(py_v_v_outputFile38_________[i]) + '\n') f_outputFile38_f2.close() print("Saved data to: results/results38.dat") # File to save: outputFile39 py_v_v_outputFile39 = [ float(x / 1000.0) for x in h.v_v_outputFile39.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39_ = [ float(x / 1000.0) for x in h.v_v_outputFile39_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39__ = [ float(x / 1000.0) for x in h.v_v_outputFile39__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39___ = [ float(x / 1000.0) for x in h.v_v_outputFile39___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39____ = [ float(x / 1000.0) for x in h.v_v_outputFile39____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39_____ = [ float(x / 1000.0) for x in h.v_v_outputFile39_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39______ = [ float(x / 1000.0) for x in h.v_v_outputFile39______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39_______ = [ float(x / 1000.0) for x in h.v_v_outputFile39_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39________ = [ float(x / 1000.0) for x in h.v_v_outputFile39________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile39_________ = [ float(x / 1000.0) for x in h.v_v_outputFile39_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile39_f2 = open('results/results39.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile39_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile39[i]) + '%e\t'%(py_v_v_outputFile39_[i]) + '%e\t'%(py_v_v_outputFile39__[i]) + '%e\t'%(py_v_v_outputFile39___[i]) + '%e\t'%(py_v_v_outputFile39____[i]) + '%e\t'%(py_v_v_outputFile39_____[i]) + '%e\t'%(py_v_v_outputFile39______[i]) + '%e\t'%(py_v_v_outputFile39_______[i]) + '%e\t'%(py_v_v_outputFile39________[i]) + '%e\t'%(py_v_v_outputFile39_________[i]) + '\n') f_outputFile39_f2.close() print("Saved data to: results/results39.dat") # File to save: outputFile36 py_v_v_outputFile36 = [ float(x / 1000.0) for x in h.v_v_outputFile36.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36_ = [ float(x / 1000.0) for x in h.v_v_outputFile36_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36__ = [ float(x / 1000.0) for x in h.v_v_outputFile36__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36___ = [ float(x / 1000.0) for x in h.v_v_outputFile36___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36____ = [ float(x / 1000.0) for x in h.v_v_outputFile36____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36_____ = [ float(x / 1000.0) for x in h.v_v_outputFile36_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36______ = [ float(x / 1000.0) for x in h.v_v_outputFile36______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36_______ = [ float(x / 1000.0) for x in h.v_v_outputFile36_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36________ = [ float(x / 1000.0) for x in h.v_v_outputFile36________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile36_________ = [ float(x / 1000.0) for x in h.v_v_outputFile36_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile36_f2 = open('results/results36.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile36_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile36[i]) + '%e\t'%(py_v_v_outputFile36_[i]) + '%e\t'%(py_v_v_outputFile36__[i]) + '%e\t'%(py_v_v_outputFile36___[i]) + '%e\t'%(py_v_v_outputFile36____[i]) + '%e\t'%(py_v_v_outputFile36_____[i]) + '%e\t'%(py_v_v_outputFile36______[i]) + '%e\t'%(py_v_v_outputFile36_______[i]) + '%e\t'%(py_v_v_outputFile36________[i]) + '%e\t'%(py_v_v_outputFile36_________[i]) + '\n') f_outputFile36_f2.close() print("Saved data to: results/results36.dat") # File to save: outputFile18 py_v_v_outputFile18 = [ float(x / 1000.0) for x in h.v_v_outputFile18.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18_ = [ float(x / 1000.0) for x in h.v_v_outputFile18_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18__ = [ float(x / 1000.0) for x in h.v_v_outputFile18__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18___ = [ float(x / 1000.0) for x in h.v_v_outputFile18___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18____ = [ float(x / 1000.0) for x in h.v_v_outputFile18____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18_____ = [ float(x / 1000.0) for x in h.v_v_outputFile18_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18______ = [ float(x / 1000.0) for x in h.v_v_outputFile18______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18_______ = [ float(x / 1000.0) for x in h.v_v_outputFile18_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18________ = [ float(x / 1000.0) for x in h.v_v_outputFile18________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile18_________ = [ float(x / 1000.0) for x in h.v_v_outputFile18_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile18_f2 = open('results/results18.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile18_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile18[i]) + '%e\t'%(py_v_v_outputFile18_[i]) + '%e\t'%(py_v_v_outputFile18__[i]) + '%e\t'%(py_v_v_outputFile18___[i]) + '%e\t'%(py_v_v_outputFile18____[i]) + '%e\t'%(py_v_v_outputFile18_____[i]) + '%e\t'%(py_v_v_outputFile18______[i]) + '%e\t'%(py_v_v_outputFile18_______[i]) + '%e\t'%(py_v_v_outputFile18________[i]) + '%e\t'%(py_v_v_outputFile18_________[i]) + '\n') f_outputFile18_f2.close() print("Saved data to: results/results18.dat") # File to save: outputFile37 py_v_v_outputFile37 = [ float(x / 1000.0) for x in h.v_v_outputFile37.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37_ = [ float(x / 1000.0) for x in h.v_v_outputFile37_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37__ = [ float(x / 1000.0) for x in h.v_v_outputFile37__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37___ = [ float(x / 1000.0) for x in h.v_v_outputFile37___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37____ = [ float(x / 1000.0) for x in h.v_v_outputFile37____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37_____ = [ float(x / 1000.0) for x in h.v_v_outputFile37_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37______ = [ float(x / 1000.0) for x in h.v_v_outputFile37______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37_______ = [ float(x / 1000.0) for x in h.v_v_outputFile37_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37________ = [ float(x / 1000.0) for x in h.v_v_outputFile37________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile37_________ = [ float(x / 1000.0) for x in h.v_v_outputFile37_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile37_f2 = open('results/results37.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile37_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile37[i]) + '%e\t'%(py_v_v_outputFile37_[i]) + '%e\t'%(py_v_v_outputFile37__[i]) + '%e\t'%(py_v_v_outputFile37___[i]) + '%e\t'%(py_v_v_outputFile37____[i]) + '%e\t'%(py_v_v_outputFile37_____[i]) + '%e\t'%(py_v_v_outputFile37______[i]) + '%e\t'%(py_v_v_outputFile37_______[i]) + '%e\t'%(py_v_v_outputFile37________[i]) + '%e\t'%(py_v_v_outputFile37_________[i]) + '\n') f_outputFile37_f2.close() print("Saved data to: results/results37.dat") # File to save: outputFile19 py_v_v_outputFile19 = [ float(x / 1000.0) for x in h.v_v_outputFile19.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19_ = [ float(x / 1000.0) for x in h.v_v_outputFile19_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19__ = [ float(x / 1000.0) for x in h.v_v_outputFile19__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19___ = [ float(x / 1000.0) for x in h.v_v_outputFile19___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19____ = [ float(x / 1000.0) for x in h.v_v_outputFile19____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19_____ = [ float(x / 1000.0) for x in h.v_v_outputFile19_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19______ = [ float(x / 1000.0) for x in h.v_v_outputFile19______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19_______ = [ float(x / 1000.0) for x in h.v_v_outputFile19_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19________ = [ float(x / 1000.0) for x in h.v_v_outputFile19________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile19_________ = [ float(x / 1000.0) for x in h.v_v_outputFile19_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile19_f2 = open('results/results19.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile19_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile19[i]) + '%e\t'%(py_v_v_outputFile19_[i]) + '%e\t'%(py_v_v_outputFile19__[i]) + '%e\t'%(py_v_v_outputFile19___[i]) + '%e\t'%(py_v_v_outputFile19____[i]) + '%e\t'%(py_v_v_outputFile19_____[i]) + '%e\t'%(py_v_v_outputFile19______[i]) + '%e\t'%(py_v_v_outputFile19_______[i]) + '%e\t'%(py_v_v_outputFile19________[i]) + '%e\t'%(py_v_v_outputFile19_________[i]) + '\n') f_outputFile19_f2.close() print("Saved data to: results/results19.dat") # File to save: outputFile0 py_v_v_outputFile0 = [ float(x / 1000.0) for x in h.v_v_outputFile0.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0_ = [ float(x / 1000.0) for x in h.v_v_outputFile0_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0__ = [ float(x / 1000.0) for x in h.v_v_outputFile0__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0___ = [ float(x / 1000.0) for x in h.v_v_outputFile0___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0____ = [ float(x / 1000.0) for x in h.v_v_outputFile0____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0_____ = [ float(x / 1000.0) for x in h.v_v_outputFile0_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0______ = [ float(x / 1000.0) for x in h.v_v_outputFile0______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0_______ = [ float(x / 1000.0) for x in h.v_v_outputFile0_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0________ = [ float(x / 1000.0) for x in h.v_v_outputFile0________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile0_________ = [ float(x / 1000.0) for x in h.v_v_outputFile0_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile0_f2 = open('results/results0.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile0_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile0[i]) + '%e\t'%(py_v_v_outputFile0_[i]) + '%e\t'%(py_v_v_outputFile0__[i]) + '%e\t'%(py_v_v_outputFile0___[i]) + '%e\t'%(py_v_v_outputFile0____[i]) + '%e\t'%(py_v_v_outputFile0_____[i]) + '%e\t'%(py_v_v_outputFile0______[i]) + '%e\t'%(py_v_v_outputFile0_______[i]) + '%e\t'%(py_v_v_outputFile0________[i]) + '%e\t'%(py_v_v_outputFile0_________[i]) + '\n') f_outputFile0_f2.close() print("Saved data to: results/results0.dat") # File to save: outputFile1 py_v_v_outputFile1 = [ float(x / 1000.0) for x in h.v_v_outputFile1.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1_ = [ float(x / 1000.0) for x in h.v_v_outputFile1_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1__ = [ float(x / 1000.0) for x in h.v_v_outputFile1__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1___ = [ float(x / 1000.0) for x in h.v_v_outputFile1___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1____ = [ float(x / 1000.0) for x in h.v_v_outputFile1____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1_____ = [ float(x / 1000.0) for x in h.v_v_outputFile1_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1______ = [ float(x / 1000.0) for x in h.v_v_outputFile1______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1_______ = [ float(x / 1000.0) for x in h.v_v_outputFile1_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1________ = [ float(x / 1000.0) for x in h.v_v_outputFile1________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile1_________ = [ float(x / 1000.0) for x in h.v_v_outputFile1_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile1_f2 = open('results/results1.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile1_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile1[i]) + '%e\t'%(py_v_v_outputFile1_[i]) + '%e\t'%(py_v_v_outputFile1__[i]) + '%e\t'%(py_v_v_outputFile1___[i]) + '%e\t'%(py_v_v_outputFile1____[i]) + '%e\t'%(py_v_v_outputFile1_____[i]) + '%e\t'%(py_v_v_outputFile1______[i]) + '%e\t'%(py_v_v_outputFile1_______[i]) + '%e\t'%(py_v_v_outputFile1________[i]) + '%e\t'%(py_v_v_outputFile1_________[i]) + '\n') f_outputFile1_f2.close() print("Saved data to: results/results1.dat") # File to save: outputFile2 py_v_v_outputFile2 = [ float(x / 1000.0) for x in h.v_v_outputFile2.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2_ = [ float(x / 1000.0) for x in h.v_v_outputFile2_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2__ = [ float(x / 1000.0) for x in h.v_v_outputFile2__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2___ = [ float(x / 1000.0) for x in h.v_v_outputFile2___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2____ = [ float(x / 1000.0) for x in h.v_v_outputFile2____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2_____ = [ float(x / 1000.0) for x in h.v_v_outputFile2_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2______ = [ float(x / 1000.0) for x in h.v_v_outputFile2______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2_______ = [ float(x / 1000.0) for x in h.v_v_outputFile2_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2________ = [ float(x / 1000.0) for x in h.v_v_outputFile2________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile2_________ = [ float(x / 1000.0) for x in h.v_v_outputFile2_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile2_f2 = open('results/results2.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile2_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile2[i]) + '%e\t'%(py_v_v_outputFile2_[i]) + '%e\t'%(py_v_v_outputFile2__[i]) + '%e\t'%(py_v_v_outputFile2___[i]) + '%e\t'%(py_v_v_outputFile2____[i]) + '%e\t'%(py_v_v_outputFile2_____[i]) + '%e\t'%(py_v_v_outputFile2______[i]) + '%e\t'%(py_v_v_outputFile2_______[i]) + '%e\t'%(py_v_v_outputFile2________[i]) + '%e\t'%(py_v_v_outputFile2_________[i]) + '\n') f_outputFile2_f2.close() print("Saved data to: results/results2.dat") # File to save: outputFile3 py_v_v_outputFile3 = [ float(x / 1000.0) for x in h.v_v_outputFile3.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3_ = [ float(x / 1000.0) for x in h.v_v_outputFile3_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3__ = [ float(x / 1000.0) for x in h.v_v_outputFile3__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3___ = [ float(x / 1000.0) for x in h.v_v_outputFile3___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3____ = [ float(x / 1000.0) for x in h.v_v_outputFile3____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3_____ = [ float(x / 1000.0) for x in h.v_v_outputFile3_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3______ = [ float(x / 1000.0) for x in h.v_v_outputFile3______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3_______ = [ float(x / 1000.0) for x in h.v_v_outputFile3_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3________ = [ float(x / 1000.0) for x in h.v_v_outputFile3________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile3_________ = [ float(x / 1000.0) for x in h.v_v_outputFile3_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile3_f2 = open('results/results3.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile3_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile3[i]) + '%e\t'%(py_v_v_outputFile3_[i]) + '%e\t'%(py_v_v_outputFile3__[i]) + '%e\t'%(py_v_v_outputFile3___[i]) + '%e\t'%(py_v_v_outputFile3____[i]) + '%e\t'%(py_v_v_outputFile3_____[i]) + '%e\t'%(py_v_v_outputFile3______[i]) + '%e\t'%(py_v_v_outputFile3_______[i]) + '%e\t'%(py_v_v_outputFile3________[i]) + '%e\t'%(py_v_v_outputFile3_________[i]) + '\n') f_outputFile3_f2.close() print("Saved data to: results/results3.dat") # File to save: outputFile4 py_v_v_outputFile4 = [ float(x / 1000.0) for x in h.v_v_outputFile4.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4_ = [ float(x / 1000.0) for x in h.v_v_outputFile4_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4__ = [ float(x / 1000.0) for x in h.v_v_outputFile4__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4___ = [ float(x / 1000.0) for x in h.v_v_outputFile4___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4____ = [ float(x / 1000.0) for x in h.v_v_outputFile4____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4_____ = [ float(x / 1000.0) for x in h.v_v_outputFile4_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4______ = [ float(x / 1000.0) for x in h.v_v_outputFile4______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4_______ = [ float(x / 1000.0) for x in h.v_v_outputFile4_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4________ = [ float(x / 1000.0) for x in h.v_v_outputFile4________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile4_________ = [ float(x / 1000.0) for x in h.v_v_outputFile4_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile4_f2 = open('results/results4.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile4_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile4[i]) + '%e\t'%(py_v_v_outputFile4_[i]) + '%e\t'%(py_v_v_outputFile4__[i]) + '%e\t'%(py_v_v_outputFile4___[i]) + '%e\t'%(py_v_v_outputFile4____[i]) + '%e\t'%(py_v_v_outputFile4_____[i]) + '%e\t'%(py_v_v_outputFile4______[i]) + '%e\t'%(py_v_v_outputFile4_______[i]) + '%e\t'%(py_v_v_outputFile4________[i]) + '%e\t'%(py_v_v_outputFile4_________[i]) + '\n') f_outputFile4_f2.close() print("Saved data to: results/results4.dat") # File to save: outputFile5 py_v_v_outputFile5 = [ float(x / 1000.0) for x in h.v_v_outputFile5.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5_ = [ float(x / 1000.0) for x in h.v_v_outputFile5_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5__ = [ float(x / 1000.0) for x in h.v_v_outputFile5__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5___ = [ float(x / 1000.0) for x in h.v_v_outputFile5___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5____ = [ float(x / 1000.0) for x in h.v_v_outputFile5____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5_____ = [ float(x / 1000.0) for x in h.v_v_outputFile5_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5______ = [ float(x / 1000.0) for x in h.v_v_outputFile5______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5_______ = [ float(x / 1000.0) for x in h.v_v_outputFile5_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5________ = [ float(x / 1000.0) for x in h.v_v_outputFile5________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile5_________ = [ float(x / 1000.0) for x in h.v_v_outputFile5_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile5_f2 = open('results/results5.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile5_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile5[i]) + '%e\t'%(py_v_v_outputFile5_[i]) + '%e\t'%(py_v_v_outputFile5__[i]) + '%e\t'%(py_v_v_outputFile5___[i]) + '%e\t'%(py_v_v_outputFile5____[i]) + '%e\t'%(py_v_v_outputFile5_____[i]) + '%e\t'%(py_v_v_outputFile5______[i]) + '%e\t'%(py_v_v_outputFile5_______[i]) + '%e\t'%(py_v_v_outputFile5________[i]) + '%e\t'%(py_v_v_outputFile5_________[i]) + '\n') f_outputFile5_f2.close() print("Saved data to: results/results5.dat") # File to save: outputFile20 py_v_v_outputFile20 = [ float(x / 1000.0) for x in h.v_v_outputFile20.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20_ = [ float(x / 1000.0) for x in h.v_v_outputFile20_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20__ = [ float(x / 1000.0) for x in h.v_v_outputFile20__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20___ = [ float(x / 1000.0) for x in h.v_v_outputFile20___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20____ = [ float(x / 1000.0) for x in h.v_v_outputFile20____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20_____ = [ float(x / 1000.0) for x in h.v_v_outputFile20_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20______ = [ float(x / 1000.0) for x in h.v_v_outputFile20______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20_______ = [ float(x / 1000.0) for x in h.v_v_outputFile20_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20________ = [ float(x / 1000.0) for x in h.v_v_outputFile20________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile20_________ = [ float(x / 1000.0) for x in h.v_v_outputFile20_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile20_f2 = open('results/results20.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile20_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile20[i]) + '%e\t'%(py_v_v_outputFile20_[i]) + '%e\t'%(py_v_v_outputFile20__[i]) + '%e\t'%(py_v_v_outputFile20___[i]) + '%e\t'%(py_v_v_outputFile20____[i]) + '%e\t'%(py_v_v_outputFile20_____[i]) + '%e\t'%(py_v_v_outputFile20______[i]) + '%e\t'%(py_v_v_outputFile20_______[i]) + '%e\t'%(py_v_v_outputFile20________[i]) + '%e\t'%(py_v_v_outputFile20_________[i]) + '\n') f_outputFile20_f2.close() print("Saved data to: results/results20.dat") # File to save: outputFile45 py_v_v_outputFile45 = [ float(x / 1000.0) for x in h.v_v_outputFile45.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile45_ = [ float(x / 1000.0) for x in h.v_v_outputFile45_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile45__ = [ float(x / 1000.0) for x in h.v_v_outputFile45__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile45___ = [ float(x / 1000.0) for x in h.v_v_outputFile45___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile45____ = [ float(x / 1000.0) for x in h.v_v_outputFile45____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile45_____ = [ float(x / 1000.0) for x in h.v_v_outputFile45_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile45_f2 = open('results/results45.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile45_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile45[i]) + '%e\t'%(py_v_v_outputFile45_[i]) + '%e\t'%(py_v_v_outputFile45__[i]) + '%e\t'%(py_v_v_outputFile45___[i]) + '%e\t'%(py_v_v_outputFile45____[i]) + '%e\t'%(py_v_v_outputFile45_____[i]) + '\n') f_outputFile45_f2.close() print("Saved data to: results/results45.dat") # File to save: outputFile6 py_v_v_outputFile6 = [ float(x / 1000.0) for x in h.v_v_outputFile6.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6_ = [ float(x / 1000.0) for x in h.v_v_outputFile6_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6__ = [ float(x / 1000.0) for x in h.v_v_outputFile6__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6___ = [ float(x / 1000.0) for x in h.v_v_outputFile6___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6____ = [ float(x / 1000.0) for x in h.v_v_outputFile6____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6_____ = [ float(x / 1000.0) for x in h.v_v_outputFile6_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6______ = [ float(x / 1000.0) for x in h.v_v_outputFile6______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6_______ = [ float(x / 1000.0) for x in h.v_v_outputFile6_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6________ = [ float(x / 1000.0) for x in h.v_v_outputFile6________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile6_________ = [ float(x / 1000.0) for x in h.v_v_outputFile6_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile6_f2 = open('results/results6.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile6_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile6[i]) + '%e\t'%(py_v_v_outputFile6_[i]) + '%e\t'%(py_v_v_outputFile6__[i]) + '%e\t'%(py_v_v_outputFile6___[i]) + '%e\t'%(py_v_v_outputFile6____[i]) + '%e\t'%(py_v_v_outputFile6_____[i]) + '%e\t'%(py_v_v_outputFile6______[i]) + '%e\t'%(py_v_v_outputFile6_______[i]) + '%e\t'%(py_v_v_outputFile6________[i]) + '%e\t'%(py_v_v_outputFile6_________[i]) + '\n') f_outputFile6_f2.close() print("Saved data to: results/results6.dat") # File to save: outputFile44 py_v_v_outputFile44 = [ float(x / 1000.0) for x in h.v_v_outputFile44.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44_ = [ float(x / 1000.0) for x in h.v_v_outputFile44_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44__ = [ float(x / 1000.0) for x in h.v_v_outputFile44__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44___ = [ float(x / 1000.0) for x in h.v_v_outputFile44___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44____ = [ float(x / 1000.0) for x in h.v_v_outputFile44____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44_____ = [ float(x / 1000.0) for x in h.v_v_outputFile44_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44______ = [ float(x / 1000.0) for x in h.v_v_outputFile44______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44_______ = [ float(x / 1000.0) for x in h.v_v_outputFile44_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44________ = [ float(x / 1000.0) for x in h.v_v_outputFile44________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile44_________ = [ float(x / 1000.0) for x in h.v_v_outputFile44_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile44_f2 = open('results/results44.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile44_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile44[i]) + '%e\t'%(py_v_v_outputFile44_[i]) + '%e\t'%(py_v_v_outputFile44__[i]) + '%e\t'%(py_v_v_outputFile44___[i]) + '%e\t'%(py_v_v_outputFile44____[i]) + '%e\t'%(py_v_v_outputFile44_____[i]) + '%e\t'%(py_v_v_outputFile44______[i]) + '%e\t'%(py_v_v_outputFile44_______[i]) + '%e\t'%(py_v_v_outputFile44________[i]) + '%e\t'%(py_v_v_outputFile44_________[i]) + '\n') f_outputFile44_f2.close() print("Saved data to: results/results44.dat") # File to save: outputFile7 py_v_v_outputFile7 = [ float(x / 1000.0) for x in h.v_v_outputFile7.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7_ = [ float(x / 1000.0) for x in h.v_v_outputFile7_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7__ = [ float(x / 1000.0) for x in h.v_v_outputFile7__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7___ = [ float(x / 1000.0) for x in h.v_v_outputFile7___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7____ = [ float(x / 1000.0) for x in h.v_v_outputFile7____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7_____ = [ float(x / 1000.0) for x in h.v_v_outputFile7_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7______ = [ float(x / 1000.0) for x in h.v_v_outputFile7______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7_______ = [ float(x / 1000.0) for x in h.v_v_outputFile7_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7________ = [ float(x / 1000.0) for x in h.v_v_outputFile7________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile7_________ = [ float(x / 1000.0) for x in h.v_v_outputFile7_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile7_f2 = open('results/results7.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile7_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile7[i]) + '%e\t'%(py_v_v_outputFile7_[i]) + '%e\t'%(py_v_v_outputFile7__[i]) + '%e\t'%(py_v_v_outputFile7___[i]) + '%e\t'%(py_v_v_outputFile7____[i]) + '%e\t'%(py_v_v_outputFile7_____[i]) + '%e\t'%(py_v_v_outputFile7______[i]) + '%e\t'%(py_v_v_outputFile7_______[i]) + '%e\t'%(py_v_v_outputFile7________[i]) + '%e\t'%(py_v_v_outputFile7_________[i]) + '\n') f_outputFile7_f2.close() print("Saved data to: results/results7.dat") # File to save: outputFile43 py_v_v_outputFile43 = [ float(x / 1000.0) for x in h.v_v_outputFile43.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43_ = [ float(x / 1000.0) for x in h.v_v_outputFile43_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43__ = [ float(x / 1000.0) for x in h.v_v_outputFile43__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43___ = [ float(x / 1000.0) for x in h.v_v_outputFile43___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43____ = [ float(x / 1000.0) for x in h.v_v_outputFile43____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43_____ = [ float(x / 1000.0) for x in h.v_v_outputFile43_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43______ = [ float(x / 1000.0) for x in h.v_v_outputFile43______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43_______ = [ float(x / 1000.0) for x in h.v_v_outputFile43_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43________ = [ float(x / 1000.0) for x in h.v_v_outputFile43________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile43_________ = [ float(x / 1000.0) for x in h.v_v_outputFile43_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile43_f2 = open('results/results43.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile43_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile43[i]) + '%e\t'%(py_v_v_outputFile43_[i]) + '%e\t'%(py_v_v_outputFile43__[i]) + '%e\t'%(py_v_v_outputFile43___[i]) + '%e\t'%(py_v_v_outputFile43____[i]) + '%e\t'%(py_v_v_outputFile43_____[i]) + '%e\t'%(py_v_v_outputFile43______[i]) + '%e\t'%(py_v_v_outputFile43_______[i]) + '%e\t'%(py_v_v_outputFile43________[i]) + '%e\t'%(py_v_v_outputFile43_________[i]) + '\n') f_outputFile43_f2.close() print("Saved data to: results/results43.dat") # File to save: outputFile8 py_v_v_outputFile8 = [ float(x / 1000.0) for x in h.v_v_outputFile8.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8_ = [ float(x / 1000.0) for x in h.v_v_outputFile8_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8__ = [ float(x / 1000.0) for x in h.v_v_outputFile8__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8___ = [ float(x / 1000.0) for x in h.v_v_outputFile8___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8____ = [ float(x / 1000.0) for x in h.v_v_outputFile8____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8_____ = [ float(x / 1000.0) for x in h.v_v_outputFile8_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8______ = [ float(x / 1000.0) for x in h.v_v_outputFile8______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8_______ = [ float(x / 1000.0) for x in h.v_v_outputFile8_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8________ = [ float(x / 1000.0) for x in h.v_v_outputFile8________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile8_________ = [ float(x / 1000.0) for x in h.v_v_outputFile8_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile8_f2 = open('results/results8.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile8_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile8[i]) + '%e\t'%(py_v_v_outputFile8_[i]) + '%e\t'%(py_v_v_outputFile8__[i]) + '%e\t'%(py_v_v_outputFile8___[i]) + '%e\t'%(py_v_v_outputFile8____[i]) + '%e\t'%(py_v_v_outputFile8_____[i]) + '%e\t'%(py_v_v_outputFile8______[i]) + '%e\t'%(py_v_v_outputFile8_______[i]) + '%e\t'%(py_v_v_outputFile8________[i]) + '%e\t'%(py_v_v_outputFile8_________[i]) + '\n') f_outputFile8_f2.close() print("Saved data to: results/results8.dat") # File to save: outputFile42 py_v_v_outputFile42 = [ float(x / 1000.0) for x in h.v_v_outputFile42.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42_ = [ float(x / 1000.0) for x in h.v_v_outputFile42_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42__ = [ float(x / 1000.0) for x in h.v_v_outputFile42__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42___ = [ float(x / 1000.0) for x in h.v_v_outputFile42___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42____ = [ float(x / 1000.0) for x in h.v_v_outputFile42____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42_____ = [ float(x / 1000.0) for x in h.v_v_outputFile42_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42______ = [ float(x / 1000.0) for x in h.v_v_outputFile42______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42_______ = [ float(x / 1000.0) for x in h.v_v_outputFile42_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42________ = [ float(x / 1000.0) for x in h.v_v_outputFile42________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile42_________ = [ float(x / 1000.0) for x in h.v_v_outputFile42_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile42_f2 = open('results/results42.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile42_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile42[i]) + '%e\t'%(py_v_v_outputFile42_[i]) + '%e\t'%(py_v_v_outputFile42__[i]) + '%e\t'%(py_v_v_outputFile42___[i]) + '%e\t'%(py_v_v_outputFile42____[i]) + '%e\t'%(py_v_v_outputFile42_____[i]) + '%e\t'%(py_v_v_outputFile42______[i]) + '%e\t'%(py_v_v_outputFile42_______[i]) + '%e\t'%(py_v_v_outputFile42________[i]) + '%e\t'%(py_v_v_outputFile42_________[i]) + '\n') f_outputFile42_f2.close() print("Saved data to: results/results42.dat") # File to save: outputFile24 py_v_v_outputFile24 = [ float(x / 1000.0) for x in h.v_v_outputFile24.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24_ = [ float(x / 1000.0) for x in h.v_v_outputFile24_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24__ = [ float(x / 1000.0) for x in h.v_v_outputFile24__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24___ = [ float(x / 1000.0) for x in h.v_v_outputFile24___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24____ = [ float(x / 1000.0) for x in h.v_v_outputFile24____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24_____ = [ float(x / 1000.0) for x in h.v_v_outputFile24_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24______ = [ float(x / 1000.0) for x in h.v_v_outputFile24______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24_______ = [ float(x / 1000.0) for x in h.v_v_outputFile24_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24________ = [ float(x / 1000.0) for x in h.v_v_outputFile24________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile24_________ = [ float(x / 1000.0) for x in h.v_v_outputFile24_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile24_f2 = open('results/results24.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile24_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile24[i]) + '%e\t'%(py_v_v_outputFile24_[i]) + '%e\t'%(py_v_v_outputFile24__[i]) + '%e\t'%(py_v_v_outputFile24___[i]) + '%e\t'%(py_v_v_outputFile24____[i]) + '%e\t'%(py_v_v_outputFile24_____[i]) + '%e\t'%(py_v_v_outputFile24______[i]) + '%e\t'%(py_v_v_outputFile24_______[i]) + '%e\t'%(py_v_v_outputFile24________[i]) + '%e\t'%(py_v_v_outputFile24_________[i]) + '\n') f_outputFile24_f2.close() print("Saved data to: results/results24.dat") # File to save: outputFile9 py_v_v_outputFile9 = [ float(x / 1000.0) for x in h.v_v_outputFile9.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9_ = [ float(x / 1000.0) for x in h.v_v_outputFile9_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9__ = [ float(x / 1000.0) for x in h.v_v_outputFile9__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9___ = [ float(x / 1000.0) for x in h.v_v_outputFile9___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9____ = [ float(x / 1000.0) for x in h.v_v_outputFile9____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9_____ = [ float(x / 1000.0) for x in h.v_v_outputFile9_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9______ = [ float(x / 1000.0) for x in h.v_v_outputFile9______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9_______ = [ float(x / 1000.0) for x in h.v_v_outputFile9_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9________ = [ float(x / 1000.0) for x in h.v_v_outputFile9________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile9_________ = [ float(x / 1000.0) for x in h.v_v_outputFile9_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile9_f2 = open('results/results9.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile9_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile9[i]) + '%e\t'%(py_v_v_outputFile9_[i]) + '%e\t'%(py_v_v_outputFile9__[i]) + '%e\t'%(py_v_v_outputFile9___[i]) + '%e\t'%(py_v_v_outputFile9____[i]) + '%e\t'%(py_v_v_outputFile9_____[i]) + '%e\t'%(py_v_v_outputFile9______[i]) + '%e\t'%(py_v_v_outputFile9_______[i]) + '%e\t'%(py_v_v_outputFile9________[i]) + '%e\t'%(py_v_v_outputFile9_________[i]) + '\n') f_outputFile9_f2.close() print("Saved data to: results/results9.dat") # File to save: outputFile41 py_v_v_outputFile41 = [ float(x / 1000.0) for x in h.v_v_outputFile41.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41_ = [ float(x / 1000.0) for x in h.v_v_outputFile41_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41__ = [ float(x / 1000.0) for x in h.v_v_outputFile41__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41___ = [ float(x / 1000.0) for x in h.v_v_outputFile41___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41____ = [ float(x / 1000.0) for x in h.v_v_outputFile41____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41_____ = [ float(x / 1000.0) for x in h.v_v_outputFile41_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41______ = [ float(x / 1000.0) for x in h.v_v_outputFile41______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41_______ = [ float(x / 1000.0) for x in h.v_v_outputFile41_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41________ = [ float(x / 1000.0) for x in h.v_v_outputFile41________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile41_________ = [ float(x / 1000.0) for x in h.v_v_outputFile41_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile41_f2 = open('results/results41.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile41_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile41[i]) + '%e\t'%(py_v_v_outputFile41_[i]) + '%e\t'%(py_v_v_outputFile41__[i]) + '%e\t'%(py_v_v_outputFile41___[i]) + '%e\t'%(py_v_v_outputFile41____[i]) + '%e\t'%(py_v_v_outputFile41_____[i]) + '%e\t'%(py_v_v_outputFile41______[i]) + '%e\t'%(py_v_v_outputFile41_______[i]) + '%e\t'%(py_v_v_outputFile41________[i]) + '%e\t'%(py_v_v_outputFile41_________[i]) + '\n') f_outputFile41_f2.close() print("Saved data to: results/results41.dat") # File to save: outputFile23 py_v_v_outputFile23 = [ float(x / 1000.0) for x in h.v_v_outputFile23.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23_ = [ float(x / 1000.0) for x in h.v_v_outputFile23_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23__ = [ float(x / 1000.0) for x in h.v_v_outputFile23__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23___ = [ float(x / 1000.0) for x in h.v_v_outputFile23___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23____ = [ float(x / 1000.0) for x in h.v_v_outputFile23____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23_____ = [ float(x / 1000.0) for x in h.v_v_outputFile23_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23______ = [ float(x / 1000.0) for x in h.v_v_outputFile23______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23_______ = [ float(x / 1000.0) for x in h.v_v_outputFile23_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23________ = [ float(x / 1000.0) for x in h.v_v_outputFile23________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile23_________ = [ float(x / 1000.0) for x in h.v_v_outputFile23_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile23_f2 = open('results/results23.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile23_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile23[i]) + '%e\t'%(py_v_v_outputFile23_[i]) + '%e\t'%(py_v_v_outputFile23__[i]) + '%e\t'%(py_v_v_outputFile23___[i]) + '%e\t'%(py_v_v_outputFile23____[i]) + '%e\t'%(py_v_v_outputFile23_____[i]) + '%e\t'%(py_v_v_outputFile23______[i]) + '%e\t'%(py_v_v_outputFile23_______[i]) + '%e\t'%(py_v_v_outputFile23________[i]) + '%e\t'%(py_v_v_outputFile23_________[i]) + '\n') f_outputFile23_f2.close() print("Saved data to: results/results23.dat") # File to save: outputFile40 py_v_v_outputFile40 = [ float(x / 1000.0) for x in h.v_v_outputFile40.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40_ = [ float(x / 1000.0) for x in h.v_v_outputFile40_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40__ = [ float(x / 1000.0) for x in h.v_v_outputFile40__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40___ = [ float(x / 1000.0) for x in h.v_v_outputFile40___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40____ = [ float(x / 1000.0) for x in h.v_v_outputFile40____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40_____ = [ float(x / 1000.0) for x in h.v_v_outputFile40_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40______ = [ float(x / 1000.0) for x in h.v_v_outputFile40______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40_______ = [ float(x / 1000.0) for x in h.v_v_outputFile40_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40________ = [ float(x / 1000.0) for x in h.v_v_outputFile40________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile40_________ = [ float(x / 1000.0) for x in h.v_v_outputFile40_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile40_f2 = open('results/results40.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile40_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile40[i]) + '%e\t'%(py_v_v_outputFile40_[i]) + '%e\t'%(py_v_v_outputFile40__[i]) + '%e\t'%(py_v_v_outputFile40___[i]) + '%e\t'%(py_v_v_outputFile40____[i]) + '%e\t'%(py_v_v_outputFile40_____[i]) + '%e\t'%(py_v_v_outputFile40______[i]) + '%e\t'%(py_v_v_outputFile40_______[i]) + '%e\t'%(py_v_v_outputFile40________[i]) + '%e\t'%(py_v_v_outputFile40_________[i]) + '\n') f_outputFile40_f2.close() print("Saved data to: results/results40.dat") # File to save: outputFile22 py_v_v_outputFile22 = [ float(x / 1000.0) for x in h.v_v_outputFile22.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22_ = [ float(x / 1000.0) for x in h.v_v_outputFile22_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22__ = [ float(x / 1000.0) for x in h.v_v_outputFile22__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22___ = [ float(x / 1000.0) for x in h.v_v_outputFile22___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22____ = [ float(x / 1000.0) for x in h.v_v_outputFile22____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22_____ = [ float(x / 1000.0) for x in h.v_v_outputFile22_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22______ = [ float(x / 1000.0) for x in h.v_v_outputFile22______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22_______ = [ float(x / 1000.0) for x in h.v_v_outputFile22_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22________ = [ float(x / 1000.0) for x in h.v_v_outputFile22________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile22_________ = [ float(x / 1000.0) for x in h.v_v_outputFile22_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile22_f2 = open('results/results22.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile22_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile22[i]) + '%e\t'%(py_v_v_outputFile22_[i]) + '%e\t'%(py_v_v_outputFile22__[i]) + '%e\t'%(py_v_v_outputFile22___[i]) + '%e\t'%(py_v_v_outputFile22____[i]) + '%e\t'%(py_v_v_outputFile22_____[i]) + '%e\t'%(py_v_v_outputFile22______[i]) + '%e\t'%(py_v_v_outputFile22_______[i]) + '%e\t'%(py_v_v_outputFile22________[i]) + '%e\t'%(py_v_v_outputFile22_________[i]) + '\n') f_outputFile22_f2.close() print("Saved data to: results/results22.dat") # File to save: outputFile21 py_v_v_outputFile21 = [ float(x / 1000.0) for x in h.v_v_outputFile21.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21_ = [ float(x / 1000.0) for x in h.v_v_outputFile21_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21__ = [ float(x / 1000.0) for x in h.v_v_outputFile21__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21___ = [ float(x / 1000.0) for x in h.v_v_outputFile21___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21____ = [ float(x / 1000.0) for x in h.v_v_outputFile21____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21_____ = [ float(x / 1000.0) for x in h.v_v_outputFile21_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21______ = [ float(x / 1000.0) for x in h.v_v_outputFile21______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21_______ = [ float(x / 1000.0) for x in h.v_v_outputFile21_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21________ = [ float(x / 1000.0) for x in h.v_v_outputFile21________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile21_________ = [ float(x / 1000.0) for x in h.v_v_outputFile21_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile21_f2 = open('results/results21.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile21_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile21[i]) + '%e\t'%(py_v_v_outputFile21_[i]) + '%e\t'%(py_v_v_outputFile21__[i]) + '%e\t'%(py_v_v_outputFile21___[i]) + '%e\t'%(py_v_v_outputFile21____[i]) + '%e\t'%(py_v_v_outputFile21_____[i]) + '%e\t'%(py_v_v_outputFile21______[i]) + '%e\t'%(py_v_v_outputFile21_______[i]) + '%e\t'%(py_v_v_outputFile21________[i]) + '%e\t'%(py_v_v_outputFile21_________[i]) + '\n') f_outputFile21_f2.close() print("Saved data to: results/results21.dat") # File to save: outputFile25 py_v_v_outputFile25 = [ float(x / 1000.0) for x in h.v_v_outputFile25.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25_ = [ float(x / 1000.0) for x in h.v_v_outputFile25_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25__ = [ float(x / 1000.0) for x in h.v_v_outputFile25__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25___ = [ float(x / 1000.0) for x in h.v_v_outputFile25___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25____ = [ float(x / 1000.0) for x in h.v_v_outputFile25____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25_____ = [ float(x / 1000.0) for x in h.v_v_outputFile25_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25______ = [ float(x / 1000.0) for x in h.v_v_outputFile25______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25_______ = [ float(x / 1000.0) for x in h.v_v_outputFile25_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25________ = [ float(x / 1000.0) for x in h.v_v_outputFile25________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile25_________ = [ float(x / 1000.0) for x in h.v_v_outputFile25_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile25_f2 = open('results/results25.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile25_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile25[i]) + '%e\t'%(py_v_v_outputFile25_[i]) + '%e\t'%(py_v_v_outputFile25__[i]) + '%e\t'%(py_v_v_outputFile25___[i]) + '%e\t'%(py_v_v_outputFile25____[i]) + '%e\t'%(py_v_v_outputFile25_____[i]) + '%e\t'%(py_v_v_outputFile25______[i]) + '%e\t'%(py_v_v_outputFile25_______[i]) + '%e\t'%(py_v_v_outputFile25________[i]) + '%e\t'%(py_v_v_outputFile25_________[i]) + '\n') f_outputFile25_f2.close() print("Saved data to: results/results25.dat") # File to save: outputFile12 py_v_v_outputFile12 = [ float(x / 1000.0) for x in h.v_v_outputFile12.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12_ = [ float(x / 1000.0) for x in h.v_v_outputFile12_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12__ = [ float(x / 1000.0) for x in h.v_v_outputFile12__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12___ = [ float(x / 1000.0) for x in h.v_v_outputFile12___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12____ = [ float(x / 1000.0) for x in h.v_v_outputFile12____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12_____ = [ float(x / 1000.0) for x in h.v_v_outputFile12_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12______ = [ float(x / 1000.0) for x in h.v_v_outputFile12______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12_______ = [ float(x / 1000.0) for x in h.v_v_outputFile12_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12________ = [ float(x / 1000.0) for x in h.v_v_outputFile12________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile12_________ = [ float(x / 1000.0) for x in h.v_v_outputFile12_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile12_f2 = open('results/results12.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile12_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile12[i]) + '%e\t'%(py_v_v_outputFile12_[i]) + '%e\t'%(py_v_v_outputFile12__[i]) + '%e\t'%(py_v_v_outputFile12___[i]) + '%e\t'%(py_v_v_outputFile12____[i]) + '%e\t'%(py_v_v_outputFile12_____[i]) + '%e\t'%(py_v_v_outputFile12______[i]) + '%e\t'%(py_v_v_outputFile12_______[i]) + '%e\t'%(py_v_v_outputFile12________[i]) + '%e\t'%(py_v_v_outputFile12_________[i]) + '\n') f_outputFile12_f2.close() print("Saved data to: results/results12.dat") # File to save: outputFile26 py_v_v_outputFile26 = [ float(x / 1000.0) for x in h.v_v_outputFile26.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26_ = [ float(x / 1000.0) for x in h.v_v_outputFile26_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26__ = [ float(x / 1000.0) for x in h.v_v_outputFile26__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26___ = [ float(x / 1000.0) for x in h.v_v_outputFile26___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26____ = [ float(x / 1000.0) for x in h.v_v_outputFile26____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26_____ = [ float(x / 1000.0) for x in h.v_v_outputFile26_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26______ = [ float(x / 1000.0) for x in h.v_v_outputFile26______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26_______ = [ float(x / 1000.0) for x in h.v_v_outputFile26_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26________ = [ float(x / 1000.0) for x in h.v_v_outputFile26________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile26_________ = [ float(x / 1000.0) for x in h.v_v_outputFile26_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile26_f2 = open('results/results26.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile26_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile26[i]) + '%e\t'%(py_v_v_outputFile26_[i]) + '%e\t'%(py_v_v_outputFile26__[i]) + '%e\t'%(py_v_v_outputFile26___[i]) + '%e\t'%(py_v_v_outputFile26____[i]) + '%e\t'%(py_v_v_outputFile26_____[i]) + '%e\t'%(py_v_v_outputFile26______[i]) + '%e\t'%(py_v_v_outputFile26_______[i]) + '%e\t'%(py_v_v_outputFile26________[i]) + '%e\t'%(py_v_v_outputFile26_________[i]) + '\n') f_outputFile26_f2.close() print("Saved data to: results/results26.dat") # File to save: outputFile13 py_v_v_outputFile13 = [ float(x / 1000.0) for x in h.v_v_outputFile13.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13_ = [ float(x / 1000.0) for x in h.v_v_outputFile13_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13__ = [ float(x / 1000.0) for x in h.v_v_outputFile13__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13___ = [ float(x / 1000.0) for x in h.v_v_outputFile13___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13____ = [ float(x / 1000.0) for x in h.v_v_outputFile13____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13_____ = [ float(x / 1000.0) for x in h.v_v_outputFile13_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13______ = [ float(x / 1000.0) for x in h.v_v_outputFile13______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13_______ = [ float(x / 1000.0) for x in h.v_v_outputFile13_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13________ = [ float(x / 1000.0) for x in h.v_v_outputFile13________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile13_________ = [ float(x / 1000.0) for x in h.v_v_outputFile13_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile13_f2 = open('results/results13.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile13_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile13[i]) + '%e\t'%(py_v_v_outputFile13_[i]) + '%e\t'%(py_v_v_outputFile13__[i]) + '%e\t'%(py_v_v_outputFile13___[i]) + '%e\t'%(py_v_v_outputFile13____[i]) + '%e\t'%(py_v_v_outputFile13_____[i]) + '%e\t'%(py_v_v_outputFile13______[i]) + '%e\t'%(py_v_v_outputFile13_______[i]) + '%e\t'%(py_v_v_outputFile13________[i]) + '%e\t'%(py_v_v_outputFile13_________[i]) + '\n') f_outputFile13_f2.close() print("Saved data to: results/results13.dat") # File to save: outputFile27 py_v_v_outputFile27 = [ float(x / 1000.0) for x in h.v_v_outputFile27.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27_ = [ float(x / 1000.0) for x in h.v_v_outputFile27_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27__ = [ float(x / 1000.0) for x in h.v_v_outputFile27__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27___ = [ float(x / 1000.0) for x in h.v_v_outputFile27___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27____ = [ float(x / 1000.0) for x in h.v_v_outputFile27____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27_____ = [ float(x / 1000.0) for x in h.v_v_outputFile27_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27______ = [ float(x / 1000.0) for x in h.v_v_outputFile27______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27_______ = [ float(x / 1000.0) for x in h.v_v_outputFile27_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27________ = [ float(x / 1000.0) for x in h.v_v_outputFile27________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile27_________ = [ float(x / 1000.0) for x in h.v_v_outputFile27_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile27_f2 = open('results/results27.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile27_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile27[i]) + '%e\t'%(py_v_v_outputFile27_[i]) + '%e\t'%(py_v_v_outputFile27__[i]) + '%e\t'%(py_v_v_outputFile27___[i]) + '%e\t'%(py_v_v_outputFile27____[i]) + '%e\t'%(py_v_v_outputFile27_____[i]) + '%e\t'%(py_v_v_outputFile27______[i]) + '%e\t'%(py_v_v_outputFile27_______[i]) + '%e\t'%(py_v_v_outputFile27________[i]) + '%e\t'%(py_v_v_outputFile27_________[i]) + '\n') f_outputFile27_f2.close() print("Saved data to: results/results27.dat") # File to save: outputFile10 py_v_v_outputFile10 = [ float(x / 1000.0) for x in h.v_v_outputFile10.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10_ = [ float(x / 1000.0) for x in h.v_v_outputFile10_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10__ = [ float(x / 1000.0) for x in h.v_v_outputFile10__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10___ = [ float(x / 1000.0) for x in h.v_v_outputFile10___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10____ = [ float(x / 1000.0) for x in h.v_v_outputFile10____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10_____ = [ float(x / 1000.0) for x in h.v_v_outputFile10_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10______ = [ float(x / 1000.0) for x in h.v_v_outputFile10______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10_______ = [ float(x / 1000.0) for x in h.v_v_outputFile10_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10________ = [ float(x / 1000.0) for x in h.v_v_outputFile10________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile10_________ = [ float(x / 1000.0) for x in h.v_v_outputFile10_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile10_f2 = open('results/results10.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile10_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile10[i]) + '%e\t'%(py_v_v_outputFile10_[i]) + '%e\t'%(py_v_v_outputFile10__[i]) + '%e\t'%(py_v_v_outputFile10___[i]) + '%e\t'%(py_v_v_outputFile10____[i]) + '%e\t'%(py_v_v_outputFile10_____[i]) + '%e\t'%(py_v_v_outputFile10______[i]) + '%e\t'%(py_v_v_outputFile10_______[i]) + '%e\t'%(py_v_v_outputFile10________[i]) + '%e\t'%(py_v_v_outputFile10_________[i]) + '\n') f_outputFile10_f2.close() print("Saved data to: results/results10.dat") # File to save: outputFile28 py_v_v_outputFile28 = [ float(x / 1000.0) for x in h.v_v_outputFile28.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28_ = [ float(x / 1000.0) for x in h.v_v_outputFile28_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28__ = [ float(x / 1000.0) for x in h.v_v_outputFile28__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28___ = [ float(x / 1000.0) for x in h.v_v_outputFile28___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28____ = [ float(x / 1000.0) for x in h.v_v_outputFile28____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28_____ = [ float(x / 1000.0) for x in h.v_v_outputFile28_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28______ = [ float(x / 1000.0) for x in h.v_v_outputFile28______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28_______ = [ float(x / 1000.0) for x in h.v_v_outputFile28_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28________ = [ float(x / 1000.0) for x in h.v_v_outputFile28________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile28_________ = [ float(x / 1000.0) for x in h.v_v_outputFile28_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile28_f2 = open('results/results28.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile28_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile28[i]) + '%e\t'%(py_v_v_outputFile28_[i]) + '%e\t'%(py_v_v_outputFile28__[i]) + '%e\t'%(py_v_v_outputFile28___[i]) + '%e\t'%(py_v_v_outputFile28____[i]) + '%e\t'%(py_v_v_outputFile28_____[i]) + '%e\t'%(py_v_v_outputFile28______[i]) + '%e\t'%(py_v_v_outputFile28_______[i]) + '%e\t'%(py_v_v_outputFile28________[i]) + '%e\t'%(py_v_v_outputFile28_________[i]) + '\n') f_outputFile28_f2.close() print("Saved data to: results/results28.dat") # File to save: outputFile11 py_v_v_outputFile11 = [ float(x / 1000.0) for x in h.v_v_outputFile11.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11_ = [ float(x / 1000.0) for x in h.v_v_outputFile11_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11__ = [ float(x / 1000.0) for x in h.v_v_outputFile11__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11___ = [ float(x / 1000.0) for x in h.v_v_outputFile11___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11____ = [ float(x / 1000.0) for x in h.v_v_outputFile11____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11_____ = [ float(x / 1000.0) for x in h.v_v_outputFile11_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11______ = [ float(x / 1000.0) for x in h.v_v_outputFile11______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11_______ = [ float(x / 1000.0) for x in h.v_v_outputFile11_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11________ = [ float(x / 1000.0) for x in h.v_v_outputFile11________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile11_________ = [ float(x / 1000.0) for x in h.v_v_outputFile11_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile11_f2 = open('results/results11.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile11_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile11[i]) + '%e\t'%(py_v_v_outputFile11_[i]) + '%e\t'%(py_v_v_outputFile11__[i]) + '%e\t'%(py_v_v_outputFile11___[i]) + '%e\t'%(py_v_v_outputFile11____[i]) + '%e\t'%(py_v_v_outputFile11_____[i]) + '%e\t'%(py_v_v_outputFile11______[i]) + '%e\t'%(py_v_v_outputFile11_______[i]) + '%e\t'%(py_v_v_outputFile11________[i]) + '%e\t'%(py_v_v_outputFile11_________[i]) + '\n') f_outputFile11_f2.close() print("Saved data to: results/results11.dat") # File to save: outputFile29 py_v_v_outputFile29 = [ float(x / 1000.0) for x in h.v_v_outputFile29.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29_ = [ float(x / 1000.0) for x in h.v_v_outputFile29_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29__ = [ float(x / 1000.0) for x in h.v_v_outputFile29__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29___ = [ float(x / 1000.0) for x in h.v_v_outputFile29___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29____ = [ float(x / 1000.0) for x in h.v_v_outputFile29____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29_____ = [ float(x / 1000.0) for x in h.v_v_outputFile29_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29______ = [ float(x / 1000.0) for x in h.v_v_outputFile29______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29_______ = [ float(x / 1000.0) for x in h.v_v_outputFile29_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29________ = [ float(x / 1000.0) for x in h.v_v_outputFile29________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile29_________ = [ float(x / 1000.0) for x in h.v_v_outputFile29_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile29_f2 = open('results/results29.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile29_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile29[i]) + '%e\t'%(py_v_v_outputFile29_[i]) + '%e\t'%(py_v_v_outputFile29__[i]) + '%e\t'%(py_v_v_outputFile29___[i]) + '%e\t'%(py_v_v_outputFile29____[i]) + '%e\t'%(py_v_v_outputFile29_____[i]) + '%e\t'%(py_v_v_outputFile29______[i]) + '%e\t'%(py_v_v_outputFile29_______[i]) + '%e\t'%(py_v_v_outputFile29________[i]) + '%e\t'%(py_v_v_outputFile29_________[i]) + '\n') f_outputFile29_f2.close() print("Saved data to: results/results29.dat") # File to save: outputFile31 py_v_v_outputFile31 = [ float(x / 1000.0) for x in h.v_v_outputFile31.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31_ = [ float(x / 1000.0) for x in h.v_v_outputFile31_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31__ = [ float(x / 1000.0) for x in h.v_v_outputFile31__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31___ = [ float(x / 1000.0) for x in h.v_v_outputFile31___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31____ = [ float(x / 1000.0) for x in h.v_v_outputFile31____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31_____ = [ float(x / 1000.0) for x in h.v_v_outputFile31_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31______ = [ float(x / 1000.0) for x in h.v_v_outputFile31______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31_______ = [ float(x / 1000.0) for x in h.v_v_outputFile31_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31________ = [ float(x / 1000.0) for x in h.v_v_outputFile31________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile31_________ = [ float(x / 1000.0) for x in h.v_v_outputFile31_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile31_f2 = open('results/results31.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile31_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile31[i]) + '%e\t'%(py_v_v_outputFile31_[i]) + '%e\t'%(py_v_v_outputFile31__[i]) + '%e\t'%(py_v_v_outputFile31___[i]) + '%e\t'%(py_v_v_outputFile31____[i]) + '%e\t'%(py_v_v_outputFile31_____[i]) + '%e\t'%(py_v_v_outputFile31______[i]) + '%e\t'%(py_v_v_outputFile31_______[i]) + '%e\t'%(py_v_v_outputFile31________[i]) + '%e\t'%(py_v_v_outputFile31_________[i]) + '\n') f_outputFile31_f2.close() print("Saved data to: results/results31.dat") # File to save: outputFile30 py_v_v_outputFile30 = [ float(x / 1000.0) for x in h.v_v_outputFile30.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30_ = [ float(x / 1000.0) for x in h.v_v_outputFile30_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30__ = [ float(x / 1000.0) for x in h.v_v_outputFile30__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30___ = [ float(x / 1000.0) for x in h.v_v_outputFile30___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30____ = [ float(x / 1000.0) for x in h.v_v_outputFile30____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30_____ = [ float(x / 1000.0) for x in h.v_v_outputFile30_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30______ = [ float(x / 1000.0) for x in h.v_v_outputFile30______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30_______ = [ float(x / 1000.0) for x in h.v_v_outputFile30_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30________ = [ float(x / 1000.0) for x in h.v_v_outputFile30________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile30_________ = [ float(x / 1000.0) for x in h.v_v_outputFile30_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile30_f2 = open('results/results30.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile30_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile30[i]) + '%e\t'%(py_v_v_outputFile30_[i]) + '%e\t'%(py_v_v_outputFile30__[i]) + '%e\t'%(py_v_v_outputFile30___[i]) + '%e\t'%(py_v_v_outputFile30____[i]) + '%e\t'%(py_v_v_outputFile30_____[i]) + '%e\t'%(py_v_v_outputFile30______[i]) + '%e\t'%(py_v_v_outputFile30_______[i]) + '%e\t'%(py_v_v_outputFile30________[i]) + '%e\t'%(py_v_v_outputFile30_________[i]) + '\n') f_outputFile30_f2.close() print("Saved data to: results/results30.dat") # File to save: outputFile33 py_v_v_outputFile33 = [ float(x / 1000.0) for x in h.v_v_outputFile33.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33_ = [ float(x / 1000.0) for x in h.v_v_outputFile33_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33__ = [ float(x / 1000.0) for x in h.v_v_outputFile33__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33___ = [ float(x / 1000.0) for x in h.v_v_outputFile33___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33____ = [ float(x / 1000.0) for x in h.v_v_outputFile33____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33_____ = [ float(x / 1000.0) for x in h.v_v_outputFile33_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33______ = [ float(x / 1000.0) for x in h.v_v_outputFile33______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33_______ = [ float(x / 1000.0) for x in h.v_v_outputFile33_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33________ = [ float(x / 1000.0) for x in h.v_v_outputFile33________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile33_________ = [ float(x / 1000.0) for x in h.v_v_outputFile33_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile33_f2 = open('results/results33.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile33_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile33[i]) + '%e\t'%(py_v_v_outputFile33_[i]) + '%e\t'%(py_v_v_outputFile33__[i]) + '%e\t'%(py_v_v_outputFile33___[i]) + '%e\t'%(py_v_v_outputFile33____[i]) + '%e\t'%(py_v_v_outputFile33_____[i]) + '%e\t'%(py_v_v_outputFile33______[i]) + '%e\t'%(py_v_v_outputFile33_______[i]) + '%e\t'%(py_v_v_outputFile33________[i]) + '%e\t'%(py_v_v_outputFile33_________[i]) + '\n') f_outputFile33_f2.close() print("Saved data to: results/results33.dat") # File to save: outputFile32 py_v_v_outputFile32 = [ float(x / 1000.0) for x in h.v_v_outputFile32.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32_ = [ float(x / 1000.0) for x in h.v_v_outputFile32_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32__ = [ float(x / 1000.0) for x in h.v_v_outputFile32__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32___ = [ float(x / 1000.0) for x in h.v_v_outputFile32___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32____ = [ float(x / 1000.0) for x in h.v_v_outputFile32____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32_____ = [ float(x / 1000.0) for x in h.v_v_outputFile32_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32______ = [ float(x / 1000.0) for x in h.v_v_outputFile32______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32_______ = [ float(x / 1000.0) for x in h.v_v_outputFile32_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32________ = [ float(x / 1000.0) for x in h.v_v_outputFile32________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile32_________ = [ float(x / 1000.0) for x in h.v_v_outputFile32_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile32_f2 = open('results/results32.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile32_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile32[i]) + '%e\t'%(py_v_v_outputFile32_[i]) + '%e\t'%(py_v_v_outputFile32__[i]) + '%e\t'%(py_v_v_outputFile32___[i]) + '%e\t'%(py_v_v_outputFile32____[i]) + '%e\t'%(py_v_v_outputFile32_____[i]) + '%e\t'%(py_v_v_outputFile32______[i]) + '%e\t'%(py_v_v_outputFile32_______[i]) + '%e\t'%(py_v_v_outputFile32________[i]) + '%e\t'%(py_v_v_outputFile32_________[i]) + '\n') f_outputFile32_f2.close() print("Saved data to: results/results32.dat") # File to save: outputFile35 py_v_v_outputFile35 = [ float(x / 1000.0) for x in h.v_v_outputFile35.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35_ = [ float(x / 1000.0) for x in h.v_v_outputFile35_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35__ = [ float(x / 1000.0) for x in h.v_v_outputFile35__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35___ = [ float(x / 1000.0) for x in h.v_v_outputFile35___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35____ = [ float(x / 1000.0) for x in h.v_v_outputFile35____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35_____ = [ float(x / 1000.0) for x in h.v_v_outputFile35_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35______ = [ float(x / 1000.0) for x in h.v_v_outputFile35______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35_______ = [ float(x / 1000.0) for x in h.v_v_outputFile35_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35________ = [ float(x / 1000.0) for x in h.v_v_outputFile35________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile35_________ = [ float(x / 1000.0) for x in h.v_v_outputFile35_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile35_f2 = open('results/results35.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile35_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile35[i]) + '%e\t'%(py_v_v_outputFile35_[i]) + '%e\t'%(py_v_v_outputFile35__[i]) + '%e\t'%(py_v_v_outputFile35___[i]) + '%e\t'%(py_v_v_outputFile35____[i]) + '%e\t'%(py_v_v_outputFile35_____[i]) + '%e\t'%(py_v_v_outputFile35______[i]) + '%e\t'%(py_v_v_outputFile35_______[i]) + '%e\t'%(py_v_v_outputFile35________[i]) + '%e\t'%(py_v_v_outputFile35_________[i]) + '\n') f_outputFile35_f2.close() print("Saved data to: results/results35.dat") # File to save: outputFile34 py_v_v_outputFile34 = [ float(x / 1000.0) for x in h.v_v_outputFile34.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34_ = [ float(x / 1000.0) for x in h.v_v_outputFile34_.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34__ = [ float(x / 1000.0) for x in h.v_v_outputFile34__.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34___ = [ float(x / 1000.0) for x in h.v_v_outputFile34___.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34____ = [ float(x / 1000.0) for x in h.v_v_outputFile34____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34_____ = [ float(x / 1000.0) for x in h.v_v_outputFile34_____.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34______ = [ float(x / 1000.0) for x in h.v_v_outputFile34______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34_______ = [ float(x / 1000.0) for x in h.v_v_outputFile34_______.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34________ = [ float(x / 1000.0) for x in h.v_v_outputFile34________.to_python() ] # Convert to Python list for speed, variable has dim: voltage py_v_v_outputFile34_________ = [ float(x / 1000.0) for x in h.v_v_outputFile34_________.to_python() ] # Convert to Python list for speed, variable has dim: voltage f_outputFile34_f2 = open('results/results34.dat', 'w') for i in range(int(h.tstop * h.steps_per_ms) + 1): f_outputFile34_f2.write('%e\t'% py_v_time[i] + '%e\t'%(py_v_v_outputFile34[i]) + '%e\t'%(py_v_v_outputFile34_[i]) + '%e\t'%(py_v_v_outputFile34__[i]) + '%e\t'%(py_v_v_outputFile34___[i]) + '%e\t'%(py_v_v_outputFile34____[i]) + '%e\t'%(py_v_v_outputFile34_____[i]) + '%e\t'%(py_v_v_outputFile34______[i]) + '%e\t'%(py_v_v_outputFile34_______[i]) + '%e\t'%(py_v_v_outputFile34________[i]) + '%e\t'%(py_v_v_outputFile34_________[i]) + '\n') f_outputFile34_f2.close() print("Saved data to: results/results34.dat") save_end = time.time() save_time = save_end - sim_end print("Finished saving results in %f seconds"%(save_time)) print("Done") quit()

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525,118

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0.565069

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1

null

0

9

b0bf807fb007754900ae316059c2c6a8e9ea7e6e

386

py

Python

Sums.py

Taekkjin/Taekk

e1479c14ccb778c5690c1f93f364fad5395cbf41

[ "MIT" ]

null

Sums.py

Taekkjin/Taekk

e1479c14ccb778c5690c1f93f364fad5395cbf41

[ "MIT" ]

null

Sums.py

Taekkjin/Taekk

e1479c14ccb778c5690c1f93f364fad5395cbf41

[ "MIT" ]

null

n = 0 for i in range(1,6): n = n + 1 print(n) print('\n') n = 0 for i in range(1,11): n = n + 1 print(n) print('\n') n = 0 for i in range(0,6): n = n+i**2 print(n) print('\n') n = 0 for i in range(0,6): n = n+i**3 print(n) print('\n') n = 0 for i in range(0,6): n = n + (i - 1)**2 print(n) print('\n') n = 1 for i in range(0,6): n = i*(n-1)/2 print(n) print('\n')

9.414634

21

0.484456

96

386

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b0c8494c7a1d2a3f44e2e174f489619d55c35da6

1,571

py

Python

colour/appearance/__init__.py

BPearlstine/colour

40f0281295496774d2a19eee017d50fd0c265bd8

[ "Cube", "BSD-3-Clause" ]

2

2020-05-03T20:15:42.000Z

2021-04-09T18:19:06.000Z

colour/appearance/__init__.py

BPearlstine/colour

40f0281295496774d2a19eee017d50fd0c265bd8

[ "Cube", "BSD-3-Clause" ]

null

colour/appearance/__init__.py

BPearlstine/colour

40f0281295496774d2a19eee017d50fd0c265bd8

[ "Cube", "BSD-3-Clause" ]

1

2019-12-11T19:48:27.000Z

# -*- coding: utf-8 -*- from __future__ import absolute_import from .hunt import (Hunt_InductionFactors, HUNT_VIEWING_CONDITIONS, Hunt_Specification, XYZ_to_Hunt) from .atd95 import ATD95_Specification, XYZ_to_ATD95 from .ciecam02 import (CIECAM02_InductionFactors, CIECAM02_VIEWING_CONDITIONS, CIECAM02_Specification, XYZ_to_CIECAM02, CIECAM02_to_XYZ) from .cam16 import (CAM16_InductionFactors, CAM16_VIEWING_CONDITIONS, CAM16_Specification, XYZ_to_CAM16, CAM16_to_XYZ) from .llab import (LLAB_InductionFactors, LLAB_VIEWING_CONDITIONS, LLAB_Specification, XYZ_to_LLAB) from .nayatani95 import Nayatani95_Specification, XYZ_to_Nayatani95 from .rlab import (RLAB_VIEWING_CONDITIONS, RLAB_D_FACTOR, RLAB_Specification, XYZ_to_RLAB) __all__ = [ 'Hunt_InductionFactors', 'HUNT_VIEWING_CONDITIONS', 'Hunt_Specification', 'XYZ_to_Hunt' ] __all__ += ['ATD95_Specification', 'XYZ_to_ATD95'] __all__ += [ 'CIECAM02_InductionFactors', 'CIECAM02_VIEWING_CONDITIONS', 'CIECAM02_Specification', 'XYZ_to_CIECAM02', 'CIECAM02_to_XYZ' ] __all__ += [ 'CAM16_InductionFactors', 'CAM16_VIEWING_CONDITIONS', 'CAM16_Specification', 'XYZ_to_CAM16', 'CAM16_to_XYZ' ] __all__ += [ 'LLAB_InductionFactors', 'LLAB_VIEWING_CONDITIONS', 'LLAB_Specification', 'XYZ_to_LLAB' ] __all__ += ['Nayatani95_Specification', 'XYZ_to_Nayatani95'] __all__ += [ 'RLAB_VIEWING_CONDITIONS', 'RLAB_D_FACTOR', 'RLAB_Specification', 'XYZ_to_RLAB' ]

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78

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6.123529

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0.242075

0.059558

0.835735

0.708934

0

0.050038

0.173138

1,571

40

79

39.275

0.751347

0.013367

0

0.111111

0

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0

1

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false

0

0.222222

0

0.222222

0

null

1

0

1

0

null

0

8

b0d64d3f3dbb7eff9cf0c3b7454cf36632aa09be

14,547

py

Python

src/bibim/expr_func.py

rishubil/pybibim

3f29207feab250e87b00a97306deb562f8ca3e46

[ "MIT" ]

1

2015-08-24T10:51:07.000Z

src/bibim/expr_func.py

rishubil/pybibim

3f29207feab250e87b00a97306deb562f8ca3e46

[ "MIT" ]

9

2016-07-19T17:21:13.000Z

2017-01-22T05:43:00.000Z

src/bibim/expr_func.py

bibim-lang/pybibim

3f29207feab250e87b00a97306deb562f8ca3e46

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import from . import datatype from .utils import safe_get_value, safe_get_evaled_expr class Func: """ Expr이 평가될 때 실행된 함수를 정의하는 class입니다. 세부적인 동작은 해당 class를 상속받은 class에서 정의합니다. """ def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ return datatype.NULL_EXPR_INST def log_string(self): return "Func" def log_expr(self): return "F" class FuncBowl(Func): """ bowl operator ':'의 동작을 정의하는 class입니다. """ def __init__(self, bowl=None, nn=None): """ FuncBowl를 생성합니다. :param bowl: Expr를 가져올 Bowl instance :type bowl: Bowl :param nn: bowl의 noodle number :type nn: Number """ self.bowl = bowl self.nn = nn def log_string(self): return "FuncBowl(%s, %s)" % (self.bowl.log_string(), self.nn.log_string()) def log_expr(self): return "%s:%s" % (self.bowl.log_expr(), self.nn.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ bowl = safe_get_value(self.bowl, datatype.Bowl) if bowl is datatype.NULL_INST: return datatype.NULL_EXPR_INST nn = safe_get_value(self.nn, datatype.Number) if nn is datatype.NULL_INST: return datatype.NULL_EXPR_INST try: return safe_get_evaled_expr(bowl.get_noodle(nn).expr()) except KeyError: return datatype.NULL_EXPR_INST class FuncAssign(Func): """ assign operator '='의 동작을 정의하는 class입니다. """ def __init__(self, bowl=None, nn=None, value_expr=None): """ FuncAssign를 생성합니다. 만약 bowl이 None이라면 기본값으로 datatype.ValueExpr(datatype.MEM)를 사용합니다. :param bowl: assign 대상 :type bowl: Bowl :param nn: bowl의 noodle number :type nn: Number :param value_expr: assign할 Value를 가진 ValueExpr :type value_expr: ValueExpr """ self.bowl = bowl if bowl is not None else datatype.ValueExpr( datatype.MEM) self.nn = nn self.value_expr = value_expr def log_string(self): return "FuncAssign(%s, %s, %s)" % (self.bowl.log_string(), self.nn.log_string(), self.value_expr.log_string()) def log_expr(self): return "%s:%s=%s" % (self.bowl.log_expr(), self.nn.log_expr(), self.value_expr.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ bowl = safe_get_value(self.bowl, datatype.Bowl) if bowl is datatype.NULL_INST: return datatype.NULL_EXPR_INST nn = safe_get_value(self.nn, datatype.Number) if nn is datatype.NULL_INST: return datatype.NULL_EXPR_INST value_expr = safe_get_evaled_expr(self.value_expr) bowl.set_noodle(nn, value_expr) return datatype.NULL_EXPR_INST class FuncDeno(Func): """ denominator operator '^'의 동작을 정의하는 class입니다. """ def __init__(self, number=None): """ FuncDeno를 생성합니다. :param number: 분모를 가져올 대상 :type number: Number """ self.number = number def log_string(self): return "FuncDeno(%s)" % (self.number.log_string(), ) def log_expr(self): return "^%s" % (self.number.log_expr(), ) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ number = safe_get_value(self.number, datatype.Number) if number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(number.denominator_number()) class FuncPlus(Func): """ add operator '+'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncPlus를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncPlus(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s + %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.add(r_number)) class FuncMinus(Func): """ subtract operator '-'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncMinus를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncMinus(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s - %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.sub(r_number)) class FuncMul(Func): """ multiply operator '*'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncMul를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncMul(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s * %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.mul(r_number)) class FuncNumberSep(Func): """ number separator '/'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncNumberSep 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.div(r_number)) def log_string(self): return "FuncNumberSep(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s/%s" % (self.l_number.log_expr(), self.r_number.log_expr()) class FuncAnd(Func): """ and operator '&'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncAnd를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncAnd(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s & %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number._and(r_number)) class FuncOr(Func): """ or operator '|'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncOr를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncOr(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s | %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number._or(r_number)) class FuncNot(Func): """ not operator '!'의 동작을 정의하는 class입니다. """ def __init__(self, number=None): """ FuncNot을 생성합니다. :param number: not을 취할 number :type number: Number """ self.number = number def log_string(self): return "FuncNot(%s)" % (self.number.log_string(), ) def log_expr(self): return "!%s" % (self.number.log_expr(), ) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ number = safe_get_value(self.number, datatype.Number) if number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(number.not_f()) class FuncEq(Func): """ equal operator '?='의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncEq를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncEq(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s ?= %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.eq_f(r_number)) class FuncGt(Func): """ greater than operator '>'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncGt를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncGt(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s > %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.gt_f(r_number)) class FuncLt(Func): """ less than operator '<'의 동작을 정의하는 class입니다. """ def __init__(self, l_number=None, r_number=None): """ FuncLt를 생성합니다. :param l_number: operator의 좌측 number :type l_number: Number :param r_number: operator의 우측 number :type r_number: Number """ self.l_number = l_number self.r_number = r_number def log_string(self): return "FuncLt(%s, %s)" % (self.l_number.log_string(), self.r_number.log_string()) def log_expr(self): return "%s < %s" % (self.l_number.log_expr(), self.r_number.log_expr()) def call(self): """ Expr이 평가될 때 실행되는 method입니다. :return: 평가된 결과 :rtype: datatype.ValueExpr """ l_number = safe_get_value(self.l_number, datatype.Number) if l_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST r_number = safe_get_value(self.r_number, datatype.Number) if r_number is datatype.NULL_INST: return datatype.NULL_EXPR_INST return datatype.ValueExpr(l_number.lt_f(r_number))

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b01e456fa2d32b2af6b0389a9e071f79e4dc144d

30,797

py

Python

routes/api/merchantApi.py

chojh04/BackOffice

d6a9d9be3689abfcb3e0a47b09b1589e74334ddc

[ "MIT" ]

null

routes/api/merchantApi.py

chojh04/BackOffice

d6a9d9be3689abfcb3e0a47b09b1589e74334ddc

[ "MIT" ]

null

routes/api/merchantApi.py

chojh04/BackOffice

d6a9d9be3689abfcb3e0a47b09b1589e74334ddc

[ "MIT" ]

null

# -*- coding:utf-8 -*- import json from flask import Blueprint, request from flask.globals import session from util.common import paramEscape, getApiData, postApiData, getApiSingleData, \ strToLong, getParameter, getData, setStringToNumber, postData from util.common import putApiData, deleteApiData, setNoneToBlank, \ request_get, request_post, request_put, API_SERVER_BACKOFFICE from util.notification import KpcNotification merchantApi = Blueprint("merchantApi", __name__) @merchantApi.route("/api/totalMerchants", methods=['GET']) def totalMerchants(): form_data = json.loads(request.args.get("formData")) if(form_data["target"] == ""): queryData = { 'limit': setStringToNumber(request.args.get("length")), 'offset': setStringToNumber(request.args.get("start")), 'representId': getParameter(form_data,"merchantId"), 'name': getParameter(form_data,"name"), 'alias':getParameter(form_data,"alias"), 'status': getParameter(form_data,"status"), 'bizRegNo': paramEscape(getParameter(form_data,"bizRegNo")), } result_data = getApiData("/merchants/totalMerchants" ,queryData) return json.dumps(result_data) elif(form_data["target"] == "2"): return merchants() return represents() @merchantApi.route("/api/merchants/merchant/represent", methods=['POST','GET', "PUT", "DELETE"]) def represent(): if (request.method == 'GET') : return getRepresent() elif (request.method == 'POST') : return createMerchant() elif (request.method == 'PUT') : return updateMerchant() elif (request.method == 'DELETE') : return deleteRepresent() def createMerchant(): form_data = request.json merchantData = { "name" : getParameter(form_data,"name"), "alias" : getParameter(form_data,"alias"), "ceoName" : getParameter(form_data,"ceoName"), "openDate" : paramEscape(getParameter(form_data,"openDate")), "bizRegNo" : paramEscape(getParameter(form_data,"bizRegNo")), "corpRegNo" : paramEscape(getParameter(form_data,"corpRegNo")), "bizKind" : getParameter(form_data,"bizKind"), "bizCond" : getParameter(form_data,"bizCond"), "bizGrp" : getParameter(form_data,"bizGrp"), "useFlag" : getParameter(form_data,"useFlag"), "zipCode" : getParameter(form_data,"zipCode"), "address" : getParameter(form_data,"address"), "addressDetail" : getParameter(form_data,"addressDetail"), "tel" : paramEscape(getParameter(form_data,"tel")), "fax" : paramEscape(getParameter(form_data,"fax")), "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId"), } #return json.dumps(postApiData("/merchants/represent", postRepresentData)) toNotiData = { "toEmpId": getParameter(form_data,"apprEmpId") ,"fromEmpId": session['empId'] ,"message" : "대표 거래처 등록 승인 신청" } fromNotiData = { "toEmpId": session['empId'] ,"fromEmpId": getParameter(form_data,"apprEmpId") ,"message" : "대표 거래처 등록 승인 신청" } # resultData = postData("/approvals/merchant/insert", merchantData,{}) reponseResult = request_post("/approvals/request/merchant", merchantData, '1') if "status" in reponseResult and reponseResult["status"] == "200" : KpcNotification().push_user_notification(toNotiData) KpcNotification().push_user_notification(fromNotiData) return json.dumps(reponseResult) def updateMerchant(): form_data = request.json merchantData = { "merchantId" : getParameter(form_data,"merchantId"), # : String, "name" : getParameter(form_data,"name"), "alias" : getParameter(form_data,"alias"), "ceoName" : getParameter(form_data,"ceoName"), "openDate" : paramEscape(getParameter(form_data,"openDate")), "bizRegNo" : paramEscape(getParameter(form_data,"bizRegNo")), "corpRegNo" : paramEscape(getParameter(form_data,"corpRegNo")), "bizKind" : getParameter(form_data,"bizKind"), "bizCond" : getParameter(form_data,"bizCond"), "bizGrp" : getParameter(form_data,"bizGrp"), "useFlag" : getParameter(form_data,"useFlag"), "zipCode" : getParameter(form_data,"zipCode"), "address" : getParameter(form_data,"address"), "addressDetail" : getParameter(form_data,"addressDetail"), "tel" : paramEscape(getParameter(form_data,"tel")), "fax" : paramEscape(getParameter(form_data,"fax")), "createDesc" : "수정 요청", "reqMemo" : getParameter(form_data,"reqMemo"), "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId") } toNotiData = { "toEmpId": getParameter(form_data,"apprEmpId") ,"fromEmpId": session['empId'] ,"message" : "대표 거래처 수정 승인 신청" } fromNotiData = { "toEmpId": session['empId'] ,"fromEmpId": getParameter(form_data,"apprEmpId") ,"message" : "대표 거래처 수정 승인 신청" } reponseResult = request_put("/approvals/request/merchant", merchantData, '1') if "status" in reponseResult and reponseResult["status"] == "200" : KpcNotification().push_user_notification(toNotiData) KpcNotification().push_user_notification(fromNotiData) return json.dumps(reponseResult) def deleteRepresent(): form_data = request.json queryData = { "merchantId" : getParameter(form_data,"merchantId"), # : String, "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId"), "reqMemo" : getParameter(form_data,"reqMemo"), } toNotiData = { "toEmpId": getParameter(form_data,"apprEmpId") ,"fromEmpId": session['empId'] ,"message" : "대표 거래처 삭제 승인 신청" } fromNotiData = { "toEmpId": session['empId'] ,"fromEmpId": getParameter(form_data,"apprEmpId") ,"message" : "대표 거래처 삭제 승인 신청" } reponseResult = request_put("/approvals/request/merchant/delete", queryData, '1') if "status" in reponseResult and reponseResult["status"] == "200" : KpcNotification().push_user_notification(toNotiData) KpcNotification().push_user_notification(fromNotiData) return json.dumps(reponseResult) #대표 거래처 정보 조회. @merchantApi.route("/api/merchants/representative/<merchantId>", methods=['GET']) def getRepresentativeMerchant(merchantId): resultData = request_get("/merchants/representative/"+merchantId, None, API_SERVER_BACKOFFICE) return json.dumps(resultData) @merchantApi.route("/api/merchants/represents", methods=['GET']) def represents(): form_data = json.loads(request.args.get("formData")) queryData = { 'limit': setStringToNumber(request.args.get("length")), 'offset': setStringToNumber(request.args.get("start")), 'representId': getParameter(form_data,"merchantId"), 'name': getParameter(form_data,"name"), 'alias':getParameter(form_data,"alias"), 'status': getParameter(form_data,"status"), 'bizRegNo': paramEscape(getParameter(form_data,"bizRegNo")), } result_data = getApiData("/merchants/represents" ,queryData) print result_data return json.dumps(result_data) @merchantApi.route("/api/merchants", methods=['GET']) def merchants(): form_data = json.loads(request.args.get("formData")) queryData = { 'limit': setStringToNumber(request.args.get("length")), 'offset': setStringToNumber(request.args.get("start")), 'merchantId': getParameter(form_data,"merchantId"), 'name': getParameter(form_data,"name"), 'alias': getParameter(form_data,"alias"), 'depth': getParameter(form_data,"depth"), 'childId': getParameter(form_data,"childId"), 'status': getParameter(form_data,"status"), 'bizRegNo': paramEscape(getParameter(form_data,"bizRegNo")), } print queryData result_data = getApiData("/merchants" ,queryData) print result_data return json.dumps(result_data) @merchantApi.route("/api/merchants/merchant/bznoCheck", methods=['GET']) def bznoCheck(): queryData = { 'merchantId': getParameter({},"merchantId"), 'bizRegNo': paramEscape(getParameter({},"bizRegNo")), } result_data = getData("/merchants/merchant/bznoCheck" ,queryData) return json.dumps(result_data) @merchantApi.route("/api/merchants/merchant/svcConnIdCheck", methods=['GET']) def svcConnIdCheck(): queryData = { 'svcConnId': getParameter({},"svcConnIdCheck"), 'serviceId': "", } result_data = getData("/merchants/merchant/svcConnIdCheck" ,queryData) return json.dumps(result_data) @merchantApi.route("/api/merchants/merchant/corpNoCheck", methods=['GET']) def corpNoCheck(): queryData = { 'merchantId': getParameter({},"merchantId"), 'corpRegNo': paramEscape(getParameter({},"corpRegNo")), } result_data = getData("/merchants/merchant/corpNoCheck" ,queryData) return json.dumps(result_data) def getRepresent(): url = request.args.get("url") if url is None : url = "/merchants/represent?representId=" + request.args.get("merchantId") result_data = getApiSingleData(url ,{}) print result_data return json.dumps(result_data) @merchantApi.route("/api/merchants/merchant", methods=['POST','GET', "PUT", "DELETE"]) def merchant(): if (request.method == 'GET') : return getMerchant() elif (request.method == 'POST') : return createSubMerchant() elif (request.method == 'PUT') : return putMerchant() elif (request.method == 'DELETE') : return deleteMerchant() def getMerchant(): url = request.args.get("url") if url is None : url = "/merchants/merchant?merchantId=" + setNoneToBlank(request.args.get("merchantId")) result_data = getApiSingleData(url ,{}) return json.dumps(result_data) def createSubMerchant(): form_data = request.json subMerchantData = { "parentId" : getParameter(form_data,"parentId"), "name" : getParameter(form_data,"name"), "alias" : getParameter(form_data,"alias"), "ceoName" : getParameter(form_data,"ceoName"), "openDate" : paramEscape(getParameter(form_data,"openDate")) , "bizRegNo" : paramEscape(getParameter(form_data,"bizRegNo")), "corpRegNo" : paramEscape(getParameter(form_data,"corpRegNo")), "bizKind" : getParameter(form_data,"bizKind"), "bizCond" : getParameter(form_data,"bizCond"), "zipCode" : getParameter(form_data,"zipcode"), "address" : getParameter(form_data,"address"), "addressDetail" : getParameter(form_data,"addressDetail"), "type" : getParameter(form_data,"bizGrp"), "tel" : paramEscape(getParameter(form_data,"tel")), "fax" : paramEscape(getParameter(form_data,"fax")), "taxCustName" : getParameter(form_data,"taxCustNm"), "taxTel" : paramEscape(getParameter(form_data,"taxTel")), "taxFax" : paramEscape(getParameter(form_data,"taxFax")), "taxPhone" : paramEscape(getParameter(form_data,"taxPhone")), "taxEmail" : getParameter(form_data,"taxEmail"), "bankName" : getParameter(form_data,"bankNm"), "bankAccountNo" : getParameter(form_data,"bankAccNo"), "bankHolder" : getParameter(form_data,"bankHolder"), "salesName" : getParameter(form_data,"salesNm"), "salesTel" : getParameter(form_data,"salesTel"), "billingName" : getParameter(form_data,"billingNm"), "billingTel" : getParameter(form_data,"billingTel"), "kpcSalesName" : getParameter(form_data,"kpcSalesNm"), "kpcSalesTel" : getParameter(form_data,"kpcSalesTel"), "kpcBillingName" : getParameter(form_data,"kpcBillingNm"), "kpcBillingTel" : getParameter(form_data,"kpcBillingTel"), "agentId" : getParameter(form_data,"agentId"), "agentPw" : getParameter(form_data,"agentPw"), "useFlag" : getParameter(form_data,"useFlag"), "urlHome" : getParameter(form_data,"urlHome"), "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId"), } reponseResult = request_post("/approvals/request/sub-merchant", subMerchantData, '1') return json.dumps(reponseResult) def putMerchant(): form_data = request.json subMerchantData = { "subMerchantId" : getParameter(form_data,"subMerchantId"), "parentId" : getParameter(form_data,"parentId"), "name" : getParameter(form_data,"name"), "alias" : getParameter(form_data,"alias"), "ceoName" : getParameter(form_data,"ceoName"), "openDate" : paramEscape(getParameter(form_data,"openDate")) , "bizRegNo" : paramEscape(getParameter(form_data,"bizRegNo")), "corpRegNo" : paramEscape(getParameter(form_data,"corpRegNo")), "bizKind" : getParameter(form_data,"bizKind"), "bizCond" : getParameter(form_data,"bizCond"), "zipCode" : getParameter(form_data,"zipcode"), "address" : getParameter(form_data,"address"), "addressDetail" : getParameter(form_data,"addressDetail"), "type" : getParameter(form_data,"bizGrp"), "tel" : paramEscape(getParameter(form_data,"tel")), "fax" : paramEscape(getParameter(form_data,"fax")), "taxCustName" : getParameter(form_data,"taxCustNm"), "taxTel" : paramEscape(getParameter(form_data,"taxTel")), "taxFax" : paramEscape(getParameter(form_data,"taxFax")), "taxPhone" : paramEscape(getParameter(form_data,"taxPhone")), "taxEmail" : getParameter(form_data,"taxEmail"), "bankName" : getParameter(form_data,"bankNm"), "bankAccountNo" : getParameter(form_data,"bankAccNo"), "bankHolder" : getParameter(form_data,"bankHolder"), "salesName" : getParameter(form_data,"salesNm"), "salesTel" : getParameter(form_data,"salesTel"), "billingName" : getParameter(form_data,"billingNm"), "billingTel" : getParameter(form_data,"billingTel"), "kpcSalesName" : getParameter(form_data,"kpcSalesNm"), "kpcSalesTel" : getParameter(form_data,"kpcSalesTel"), "kpcBillingName" : getParameter(form_data,"kpcBillingNm"), "kpcBillingTel" : getParameter(form_data,"kpcBillingTel"), "agentId" : getParameter(form_data,"agentId"), "agentPw" : getParameter(form_data,"agentPw"), "useFlag" : getParameter(form_data,"useFlag"), "urlHome" : getParameter(form_data,"urlHome"), "reqEmpId" : session['empId'], "reqMemo" : getParameter(form_data,"reqMemo"), "apprEmpId" : getParameter(form_data,"apprEmpId"), } reponseResult = request_put("/approvals/request/sub-merchant", subMerchantData, '1') return json.dumps(reponseResult) def deleteMerchant(): form_data = request.json queryData = { "subMerchantId" : getParameter(form_data,"subMerchantId"), # : String, "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId"), "reqMemo" : getParameter(form_data,"reqMemo"), } reponseResult = request_put("/approvals/request/sub-merchant/delete", queryData, '1') return json.dumps(reponseResult) @merchantApi.route("/api/merchants/sub-merchant/<subMerchantId>/path", methods=['GET']) def getSubMerchantPath(subMerchantId): resultData = request_get("/merchants/sub-merchant/"+subMerchantId+"/path", None, API_SERVER_BACKOFFICE) return json.dumps(resultData) @merchantApi.route("/api/merchants/services", methods=['GET']) def services(): formData = json.loads(request.args.get("formData")) queryData = { 'limit': setStringToNumber(request.args.get("length")), 'offset': setStringToNumber(request.args.get("start")), 'merchantId': getParameter(formData, "submerchantId"), 'name': getParameter(formData, "name"), 'useFlag': getParameter(formData, "useFlag"), 'serviceId': getParameter(formData, "serviceId"), 'serviceType': getParameter(formData, "serviceType"), 'merchantName': getParameter(formData, "merchantName"), 'billingRegFlag': getParameter(formData, "billingRegFlag"), 'svcConnId': getParameter(formData, "svcConnId") } result_data = getApiData("/merchants/services" ,queryData) return json.dumps(result_data) @merchantApi.route("/api/merchants/billings", methods=['GET']) def billings(): formData = json.loads(request.args.get("formData")) serviceId = getParameter(formData, "serviceId"); resultData = request_get("/sub-merchant/"+serviceId+"/billing/commision-histories", None, API_SERVER_BACKOFFICE) return json.dumps(resultData) @merchantApi.route("/api/merchants/services/service", methods=['POST','GET', "PUT", "DELETE"]) def service(): if (request.method == 'GET') : return getService() elif (request.method == 'POST') : return postService() elif (request.method == 'PUT') : return putService() elif (request.method == 'DELETE') : return deleteService() def getService(): url = request.args.get("url") if url is None : url = "/merchants/services/service?serviceId=" + request.args.get("serviceId") result_data = getApiSingleData(url ,{}) print result_data return json.dumps(result_data) def postService(): form_data = request.json serviceData = { "subMerchantId" : getParameter(form_data, "submerchantId"), "serviceName" : getParameter(form_data, "serviceName"), "category" : getParameter(form_data, "category"), "type" : getParameter(form_data, "type"), "saleDivider" : getParameter(form_data, "saleDivider"), "useFlag" : getParameter(form_data, "useFlag"), "svcConnId" : getParameter(form_data, "svcConnId"), "svcConnPw" : getParameter(form_data, "svcConnPw"), "agentId" : getParameter(form_data, "agentId"), "agentPw" : getParameter(form_data, "agentPw"), "createDesc" : "신규등록" , "createAdmId" : session['empId'], "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId"), } # return json.dumps(postApiData("/merchants/services/service", postServiceData)) reponseResult = request_post("/approvals/request/sub-merchant/service", serviceData, '1') return json.dumps(reponseResult) def putService(): form_data = request.json serviceData = { "serviceId" : getParameter(form_data, "serviceId"), "subMerchantId" : getParameter(form_data, "submerchantId"), "serviceName" : getParameter(form_data, "serviceName"), "category" : getParameter(form_data, "category"), "type" : getParameter(form_data, "type"), "useFlag" : getParameter(form_data, "useFlag"), "saleDivider" : getParameter(form_data, "saleDivider"), "svcConnId" : getParameter(form_data, "svcConnId"), "svcConnPw" : getParameter(form_data, "svcConnPw"), "updateAdmId" : session['empId'], "reqEmpId" : session['empId'], "reqMemo" : getParameter(form_data,"reqMemo"), "apprEmpId" : getParameter(form_data,"apprEmpId") } reponseResult = request_put("/approvals/request/sub-merchant/service", serviceData, '1') return json.dumps(reponseResult) def deleteService(): form_data = request.json queryData = { "serviceId" : getParameter(form_data,"serviceId"), # : String, "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId"), "reqMemo" : getParameter(form_data,"reqMemo"), } reponseResult = request_put("/approvals/request/sub-merchant/service/delete", queryData, '1') return json.dumps(reponseResult) @merchantApi.route("/api/merchants/services/service/billing", methods=['POST','GET', "PUT", "DELETE"]) def billing(): if (request.method == 'GET') : return getBilling() elif (request.method == 'POST') : return postBilling() elif (request.method == 'PUT') : return putBilling() elif (request.method == 'DELETE') : return deleteBilling() def getBilling(): result_data = getApiSingleData("/merchants/services/service/billing" ,{"serviceBillingId" : getParameter({}, "serviceBillingId")}) print result_data return json.dumps(result_data) #서비스정산 등록 def postBilling(): form_data = request.json billingData = { "serviceId" : getParameter(form_data,"serviceId"), "name" : getParameter(form_data,"name"), "bankCode" : getParameter(form_data,"bankCode"), "bankAccountNo" : getParameter(form_data,"bankAccNo"), "bankHolder" : getParameter(form_data,"bankHolder"), "managerName" : getParameter(form_data,"managerName"), "managerTel" : getParameter(form_data,"managerTel"), "managerEmail" : getParameter(form_data,"managerEmail"), "kpcManagerName" : getParameter(form_data,"kpcManagerName"), "kpcManagerTel" : getParameter(form_data,"kpcManagerTel"), "kpcManagerEmail" : getParameter(form_data,"kpcManagerEmail"), "code" : getParameter(form_data,"code"), "divider" : getParameter(form_data,"divider"), "billingDate" : paramEscape(getParameter(form_data,"billingDt")), "billingStartDate" : paramEscape(getParameter(form_data,"billingStartDate")), "billingDuration" : getParameter(form_data,"billingDuration"), "billingCommisionType" : getParameter(form_data,"billingCommType" ), "merchantCommisionType" : getParameter(form_data,"merchantCommType"), "merchantCommision": getParameter(form_data,"merchantCommision"), "merchantTaxType" : getParameter(form_data,"merchantTaxType"), "createAdmId" : session['empId'], "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId") } reponseResult = request_post("/approvals/request/sub-merchant/service/billing", billingData, '1') return json.dumps(reponseResult) # return json.dumps(postApiData("/merchants/services/service/billing", postBillingData)) def putBilling(): form_data = request.json print "aplEndDate : " + paramEscape(getParameter(form_data ,"aplEndDate")) billingData = { "serviceBillingId" : getParameter(form_data,"serviceBillingId"), "commisionId" : getParameter(form_data,"commisionId"), "name" : getParameter(form_data,"name"), "bankCode" : getParameter(form_data,"bankCode"), "bankAccountNo" : getParameter(form_data,"bankAccNo"), "bankHolder" : getParameter(form_data,"bankHolder"), "managerName" : getParameter(form_data,"managerName"), "managerTel" : getParameter(form_data,"managerTel"), "managerEmail" : getParameter(form_data,"managerEmail"), "kpcManagerName" : getParameter(form_data,"kpcManagerName"), "kpcManagerTel" : getParameter(form_data,"kpcManagerTel"), "kpcManagerEmail" : getParameter(form_data,"kpcManagerEmail"), "code" : getParameter(form_data,"billingCode"), "divider" : getParameter(form_data,"billingDivider"), "billingDate" : paramEscape(getParameter(form_data,"billingDt")), "billingDuration" : getParameter(form_data,"billingDuration"), "billingCommisionType" : getParameter(form_data,"billingCommType" ), "merchantCommisionType" : getParameter(form_data,"merchantCommType"), "merchantCommision": getParameter(form_data,"merchantCommision"), "merchantTaxType" : getParameter(form_data,"merchantTaxType"), "createAdmId" : session['empId'], "reqEmpId" : session['empId'], "reqMemo" : getParameter(form_data,"reqMemo"), "apprEmpId" : getParameter(form_data,"apprEmpId") } # return json.dumps(putApiData("/merchants/services/service/billing", putBillingData , {})) reponseResult = request_put("/approvals/request/sub-merchant/service/billing", billingData, '1') return json.dumps(reponseResult) #미사용 def deleteBilling(): queryData = { 'billingId': setNoneToBlank(request.args.get("billingId")), } return json.dumps(deleteApiData("/merchants/services/service/billing", queryData)) @merchantApi.route("/api/merchants/services/service/billing/commision", methods=['POST', "PUT", "DELETE"]) def billingCommision(): if (request.method == 'POST') : return postBillingCommision() elif (request.method == 'PUT') : return putBillingCommision() elif (request.method == 'DELETE') : return deleteBilling() def postBillingCommision(): form_data = request.json billingData = { "serviceBillingId" : getParameter(form_data,"serviceBillingId"), "code" : getParameter(form_data,"billingCode"), "divider" : getParameter(form_data,"billingDivider"), "billingDate" : paramEscape(getParameter(form_data,"billingDt")), "billingDuration" : getParameter(form_data,"billingDuration"), "billingCommisionType" : getParameter(form_data,"billingCommType" ), "merchantCommisionType" : getParameter(form_data,"merchantCommType"), "merchantCommision": getParameter(form_data,"merchantCommision"), "merchantTaxType" : getParameter(form_data,"merchantTaxType"), "billingStartDate" : paramEscape(getParameter(form_data,"billingStartDate")), "beforeBillingEndDate" : getParameter(form_data,"beforeBillingEndDate"), "createAdmId" : session['empId'], "reqEmpId" : session['empId'], "apprEmpId" : getParameter(form_data,"apprEmpId") } reponseResult = request_post("/approvals/request/sub-merchant/service/billing/commision", billingData, '1') return json.dumps(reponseResult) def putBillingCommision(): form_data = request.json billingData = { "serviceBillingId" : getParameter(form_data,"serviceBillingId"), "commisionId" : getParameter(form_data,"commisionId"), "code" : getParameter(form_data,"billingCode"), "divider" : getParameter(form_data,"billingDivider"), "billingDate" : paramEscape(getParameter(form_data,"billingDt")), "billingDuration" : getParameter(form_data,"billingDuration"), "billingCommisionType" : getParameter(form_data,"billingCommType" ), "merchantCommisionType" : getParameter(form_data,"merchantCommType"), "merchantCommision": getParameter(form_data,"merchantCommision"), "merchantTaxType" : getParameter(form_data,"merchantTaxType"), "billingStartDate" : paramEscape(getParameter(form_data,"billingStartDate")), "beforeBillingEndDate" : getParameter(form_data,"beforeBillingEndDate"), "createAdmId" : session['empId'], "reqEmpId" : session['empId'], "reqMemo" : getParameter(form_data,"reqMemo"), "apprEmpId" : getParameter(form_data,"apprEmpId") } reponseResult = request_put("/approvals/request/sub-merchant/service/billing/commision", billingData, '1') return json.dumps(reponseResult) #서비스 정산 ID로 정산정보 조회 @merchantApi.route("/api/merchants/sub-merchant/billing/<commisionId>", methods=['GET']) def readServieBilling(commisionId): resultData = request_get("/sub-merchant/billing/"+commisionId, None, API_SERVER_BACKOFFICE) return json.dumps(resultData) #서비스 정산 ID로 서비스의 마지막 정산정보 조회 @merchantApi.route("/api/merchants/sub-merchant/billing/<commisionId>/<searchType>", methods=['GET']) def readServieLastBilling(commisionId,searchType): resultData = request_get("/sub-merchant/billing/"+commisionId+"/"+searchType, None, API_SERVER_BACKOFFICE) return json.dumps(resultData) #수수료ID로 정산정보 조회 @merchantApi.route("/api/merchants/sub-merchant/billing/commision/<commisionId>", methods=['GET']) def readServieBillingByCommisionId(commisionId): resultData = request_get("/sub-merchant/billing/commision/"+commisionId, None, API_SERVER_BACKOFFICE) return json.dumps(resultData)

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7

b02554099459f6c2823d52b5a6cc2a14661ed080

49

py

Python

main_app/mixins/__init__.py

radekska/django-network-controller

6bcb847cbe1efa7dee118974de5e49b4f411e5da

[ "MIT" ]

null

main_app/mixins/__init__.py

radekska/django-network-controller

6bcb847cbe1efa7dee118974de5e49b4f411e5da

[ "MIT" ]

null

main_app/mixins/__init__.py

radekska/django-network-controller

6bcb847cbe1efa7dee118974de5e49b4f411e5da

[ "MIT" ]

null

from .JSONResponseMixin import JSONResponseMixin

24.5

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b03c4a6bd1a98a40d31456e0f4e980da597487e7

5,927

py

Python

ivy_tests/test_ivy/test_functional/test_nn/test_activations.py

VedPatwardhan/ivy

7b2105fa8cf38879444a1029bfaa7f0b2f27717a

[ "Apache-2.0" ]

1

2022-02-13T19:35:02.000Z

ivy_tests/test_ivy/test_functional/test_nn/test_activations.py

Arijit1000/ivy

de193946a580ca0f54d78fe7fc4031a6ff66d2bb

[ "Apache-2.0" ]

null

ivy_tests/test_ivy/test_functional/test_nn/test_activations.py

Arijit1000/ivy

de193946a580ca0f54d78fe7fc4031a6ff66d2bb

[ "Apache-2.0" ]

null

"""Collection of tests for unified neural network activation functions.""" # global import numpy as np from hypothesis import given, strategies as st # local import ivy import ivy_tests.test_ivy.helpers as helpers import ivy.functional.backends.numpy as ivy_np # relu @given( dtype_and_x=helpers.dtype_and_values(ivy_np.valid_float_dtypes), as_variable=st.booleans(), with_out=st.booleans(), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=st.booleans(), instance_method=st.booleans(), ) def test_relu( dtype_and_x, as_variable, with_out, native_array, num_positional_args, container, instance_method, fw, ): dtype, x = dtype_and_x x = np.asarray(x, dtype=dtype) if x.shape == (): return if fw == "torch" and dtype == "float16": return helpers.test_array_function( dtype, as_variable, with_out, native_array, fw, num_positional_args, container, instance_method, "relu", x=x, ) # leaky_relu @given( dtype_and_x=helpers.dtype_and_values(ivy_np.valid_float_dtypes), as_variable=helpers.list_of_length(st.booleans(), 2), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=helpers.list_of_length(st.booleans(), 2), instance_method=st.booleans(), alpha=st.floats(), ) def test_leaky_relu( dtype_and_x, alpha, as_variable, num_positional_args, container, instance_method, native_array, fw, ): dtype, x = dtype_and_x if not ivy.all(ivy.isfinite(ivy.array(x))) or not ivy.isfinite(ivy.array([alpha])): return if fw == "torch" and dtype == "float16": return helpers.test_array_function( dtype, as_variable, False, native_array, fw, num_positional_args, container, instance_method, "leaky_relu", x=np.asarray(x, dtype=dtype), alpha=alpha, ) # gelu @given( dtype_and_x=helpers.dtype_and_values(ivy_np.valid_float_dtypes), as_variable=st.booleans(), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=st.booleans(), instance_method=st.booleans(), approximate=st.booleans(), ) def test_gelu( dtype_and_x, as_variable, approximate, num_positional_args, container, instance_method, native_array, fw, ): dtype, x = dtype_and_x if fw == "torch" and dtype == "float16": return x = np.asarray(x, dtype=dtype) helpers.test_array_function( dtype, as_variable, False, native_array, fw, num_positional_args, container, instance_method, "gelu", x=x, approximate=approximate, ) # tanh @given( dtype_and_x=helpers.dtype_and_values(ivy_np.valid_float_dtypes), as_variable=st.booleans(), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=st.booleans(), instance_method=st.booleans(), ) def test_tanh( dtype_and_x, as_variable, num_positional_args, container, instance_method, native_array, fw, ): dtype, x = dtype_and_x if fw == "torch" and dtype == "float16": return helpers.test_array_function( dtype, as_variable, False, native_array, fw, num_positional_args, container, instance_method, "tanh", x=np.asarray(x, dtype=dtype), ) # sigmoid @given( dtype_and_x=helpers.dtype_and_values(ivy_np.valid_float_dtypes), as_variable=st.booleans(), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=st.booleans(), instance_method=st.booleans(), ) def test_sigmoid( dtype_and_x, as_variable, num_positional_args, container, instance_method, native_array, fw, ): dtype, x = dtype_and_x if fw == "torch" and dtype == "float16": return helpers.test_array_function( dtype, as_variable, False, native_array, fw, num_positional_args, container, instance_method, "sigmoid", x=np.asarray(x, dtype=dtype), ) # softmax @given( dtype_and_x=helpers.dtype_and_values(ivy.all_float_dtypes), as_variable=st.booleans(), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=st.booleans(), instance_method=st.booleans(), ) def test_softmax( dtype_and_x, as_variable, num_positional_args, container, instance_method, native_array, fw, ): dtype, x = dtype_and_x axis = -1 if fw == "torch" and dtype == "float16": return x = np.asarray(x, dtype=dtype) if x.shape == (): return helpers.test_array_function( dtype, as_variable, False, native_array, fw, num_positional_args, container, instance_method, "softmax", x=x, axis=axis, ) # softplus @given( dtype_and_x=helpers.dtype_and_values(ivy_np.valid_float_dtypes), as_variable=st.booleans(), native_array=st.booleans(), num_positional_args=st.integers(0, 2), container=st.booleans(), instance_method=st.booleans(), ) def test_softplus( dtype_and_x, as_variable, num_positional_args, container, instance_method, native_array, fw, ): dtype, x = dtype_and_x if fw == "torch" and dtype == "float16": return helpers.test_array_function( dtype, as_variable, False, native_array, fw, num_positional_args, container, instance_method, "softplus", x=np.asarray(x, dtype=dtype), )

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c669c5cdd4dc02426d167e8a759e2bed9e514cde

49

py

Python

desktop/core/ext-py/nose-1.3.7/functional_tests/support/coverage/tests/test_covered.py

kokosing/hue

2307f5379a35aae9be871e836432e6f45138b3d9

[ "Apache-2.0" ]

5,079

2015-01-01T03:39:46.000Z

2022-03-31T07:38:22.000Z

desktop/core/ext-py/nose-1.3.7/functional_tests/support/coverage/tests/test_covered.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

1,623

2015-01-01T08:06:24.000Z

2022-03-30T19:48:52.000Z

desktop/core/ext-py/nose-1.3.7/functional_tests/support/coverage/tests/test_covered.py

zks888/hue

93a8c370713e70b216c428caa2f75185ef809deb

[ "Apache-2.0" ]

2,033

2015-01-04T07:18:02.000Z

2022-03-28T19:55:47.000Z

import blah def test_blah(): blah.dostuff()

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0

1

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7

c6e43ecd17c505d382b35069c6e5684ed1a499ef

5,922

py

Python

torchocr/datasets/txt_reader.py

hua1024/OpenOCR

13ecfd18d103d5e70a87922cebe89077e8f0eb9c

[ "Apache-2.0" ]

3

2021-02-02T06:10:50.000Z

2021-05-10T01:27:31.000Z

torchocr/datasets/txt_reader.py

hua1024/OpenOCR

13ecfd18d103d5e70a87922cebe89077e8f0eb9c

[ "Apache-2.0" ]

null

torchocr/datasets/txt_reader.py

hua1024/OpenOCR

13ecfd18d103d5e70a87922cebe89077e8f0eb9c

[ "Apache-2.0" ]

2

2021-02-02T06:11:25.000Z

2021-02-09T16:27:48.000Z

# coding=utf-8 # @Time : 2020/12/25 10:45 # @Auto : zzf-jeff from torchocr.datasets.builder import DATASET from torchocr.datasets.base import BaseDataset from abc import ABCMeta, abstractmethod import numpy as np import cv2 import os from tqdm import tqdm @DATASET.register_module() class DetTextICDAR15(BaseDataset, metaclass=ABCMeta): def __init__(self, ann_file, pipeline, mode, data_root, **kwargs): if 'split_type' in kwargs: self.split_type = kwargs['split_type'] else: self.split_type = ',' super().__init__(ann_file, pipeline, mode, data_root, **kwargs) def load_annotations(self, ann_file): infos = self.read_txt(ann_file, self.split_type) data_infos = [] for (img_path, gt_path) in tqdm(infos): labels, texts = self.get_bboxs(gt_path) data_infos.append({'img_path': img_path, 'label': labels, 'text': texts}) return data_infos def get_bboxs(self, gt_path): """ :param gt_path: :return: labels [['2','3','4','5']] texts [['sss']] """ labels = [] texts = [] with open(gt_path, 'r', encoding='utf-8') as fr: lines = fr.readlines() for line in lines: line = line.replace('\ufeff', '').replace('\xef\xbb\xbf', '').strip('\n') gt = line.split(',') labels.append(gt[:8]) texts.append(gt[8:]) return labels, texts def read_txt(self, txt_path, split_type): ''' 读取txt文件的标注信息，格式为 xxx/a/1.png,a xxx/a/2.png,a Args: txt_path: train/valid/test data txt or json Returns: imgs：list, all data info ''' with open(txt_path, 'r', encoding='utf-8') as f: infos = list(map(lambda line: line.strip().split(split_type), f)) return infos @DATASET.register_module() class DetTextDataset(BaseDataset, metaclass=ABCMeta): def __init__(self, ann_file, pipeline, mode, data_root, **kwargs): if 'split_type' in kwargs: self.split_type = kwargs['split_type'] else: self.split_type = ',' super().__init__(ann_file, pipeline, mode, data_root, **kwargs) def load_annotations(self, ann_file): infos = self.read_txt(ann_file, self.split_type) data_infos = [] for (img_path, gt_path) in tqdm(infos): if self.data_root: img_path = os.path.join(self.data_root, img_path) gt_path = os.path.join(self.data_root, gt_path) labels, texts = self.get_bboxs(gt_path) data_infos.append({'img_path': img_path, 'label': labels, 'text': texts}) return data_infos def get_bboxs(self, gt_path): labels = [] texts = [] with open(gt_path, 'r', encoding='utf-8') as fr: lines = fr.readlines() for line in lines: line = line.replace('\ufeff', '').replace('\xef\xbb\xbf', '').strip('\n') gt = line.split(',') labels.append(gt[:8]) texts.append(['ocr']) return labels, texts def read_txt(self, txt_path, split_type): ''' 读取txt文件的标注信息，格式为 xxx/a/1.png,a xxx/a/2.png,a Args: txt_path: train/valid/test data txt or json Returns: imgs：list, all data info ''' with open(txt_path, 'r', encoding='utf-8') as f: infos = list(map(lambda line: line.strip().split(split_type), f)) return infos @DATASET.register_module() class RecTextDataset(BaseDataset, metaclass=ABCMeta): def __init__(self, ann_file, pipeline, mode, data_root, **kwargs): if 'split_type' in kwargs: self.split_type = kwargs['split_type'] else: self.split_type = ' ' super().__init__(ann_file, pipeline, mode, data_root, **kwargs) def load_annotations(self, ann_file): infos = self.read_txt(ann_file, self.split_type) data_infos = [] for info in tqdm(infos): if len(info) != 2: continue img_path, label = info[0], info[1] if self.data_root: img_path = os.path.join(self.data_root, img_path) data_infos.append({'img_path': img_path, 'label': label}) return data_infos def read_txt(self, txt_path, split_type): ''' 读取txt文件的标注信息，格式为 xxx/a/1.png,a xxx/a/2.png,a Args: txt_path: train/valid/test data txt or json Returns: imgs：list, all data info ''' with open(txt_path, 'r', encoding='utf-8') as f: infos = list(map(lambda line: line.strip().split(split_type, 1), f)) return infos @DATASET.register_module() class AyxRecTextDataset(RecTextDataset): def load_annotations(self, ann_file): data_infos = [] infos = super(AyxRecTextDataset, self).read_txt(ann_file, self.split_type) for info in infos: txt_file, use_flag = info if int(use_flag) == 1: data_infos += super(AyxRecTextDataset, self).load_annotations(txt_file) return data_infos @DATASET.register_module() class AyxDetTextDataset(DetTextDataset): def load_annotations(self, ann_file): data_infos = [] infos = super(AyxDetTextDataset, self).read_txt(ann_file, self.split_type) for info in infos: txt_file, use_flag = info if int(use_flag) == 1: data_infos += super(AyxDetTextDataset, self).load_annotations(txt_file) return data_infos

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7

05aa60420d3d669b985e50aab2eac45a7cb3c914

3,188

py

Python

tests/test_diff_positions.py

jacebrowning/beefore

76a43cfa3fb83cfa3b3301277636f1beca35aee7

[ "BSD-3-Clause" ]

24

2016-07-14T04:25:31.000Z

2019-02-12T19:37:01.000Z

tests/test_diff_positions.py

jacebrowning/beefore

76a43cfa3fb83cfa3b3301277636f1beca35aee7

[ "BSD-3-Clause" ]

17

2016-07-17T10:51:56.000Z

2019-02-02T20:20:43.000Z

tests/test_diff_positions.py

jacebrowning/beefore

76a43cfa3fb83cfa3b3301277636f1beca35aee7

[ "BSD-3-Clause" ]

19

2016-07-15T01:05:00.000Z

2018-06-03T17:35:40.000Z

import unittest from beefore import diff class TestDiff(unittest.TestCase): def test_add_lines(self): diff_content = [ "diff --git a/tests/path/to/testfile b/tests/path/to/testfile", "@@ -1,4 +1,6 @@", " 1", "+2", "+3", " 4", " 5", " 6" ] self.assertEqual( diff.positions('tests', diff_content), { "path/to/testfile": {1: 1, 2: 2, 3: 3, 4: 4, 5: 5, 6: 6} } ) def test_subtract_lines(self): diff_content = [ "diff --git a/tests/path/to/testfile b/tests/path/to/testfile", "@@ -1,6 +1,2 @@", " 1", "-2", "-3", " 4" ] self.assertEqual( diff.positions('tests', diff_content), { "path/to/testfile": {1: 1, 2: 4} } ) def test_add_subtract(self): diff_content = [ "diff --git a/tests/path/to/testfile b/tests/path/to/testfile", "index 5f4d692..5b05678 100644", "--- a/tests/path/to/testfile", "+++ b/tests/path/to/testfile", "@@ -2,0 +2,1 @@", " 1", "+2", " 3", "@@ -13,7 +14,4 @@", " 4", "-5", "-6", "+7", " 8", "-9", "+10" ] self.assertEqual( diff.positions('tests', diff_content), { "path/to/testfile": {2: 1, 3: 2, 4: 3, 14: 5, 15: 8, 16: 9, 17: 11} } ) def test_no_diff(self): diff_content = [ "1", "2", "3", "4" ] self.assertEqual( diff.positions('tests', diff_content), {} ) def test_multi_file(self): diff_content = [ "diff --git a/tests/path/to/testfile b/tests/path/to/testfile", "index 5f4d692..5b05678 100644", "--- a/tests/path/to/testfile", "+++ b/tests/path/to/testfile", "@@ -2,0 +2,1 @@", " 1", "+2", " 3", "@@ -13,7 +14,4 @@", " 4", "-5", "-6", "+7", " 8", "-9", "+10", "diff --git a/tests/path/to/secondfile b/tests/path/to/secondfile", "index 5f4d692..5b05678 100644", "--- a/tests/path/to/secondfile", "+++ b/tests/path/to/secondfile", "@@ -2,0 +2,1 @@", " 1", "+2", " 3", "@@ -13,7 +14,4 @@", " 4", "-5", "-6", "+7", " 8", "-9", "+10" ] self.assertEqual( diff.positions('tests', diff_content), { "path/to/testfile": {2: 1, 3: 2, 4: 3, 14: 5, 15: 8, 16: 9, 17: 11}, "path/to/secondfile": {2: 1, 3: 2, 4: 3, 14: 5, 15: 8, 16: 9, 17: 11}, } )

25.102362

86

0.354141

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3,188

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0.158702

0.205591

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0.823264

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0.123669

0.469887

3,188

126

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0

null

0

1

0

null

0

7

af3aad7524058c7c4fd2dde5a01f2e180e00eaf4

5,736

py

Python

tests/test_auth.py

cailholm/django-saml2-pro-auth

7da92ad814111726cddea0c4a39f29324a5ab2b4

[ "MIT" ]

24

2017-11-06T14:08:15.000Z

2020-01-27T14:26:57.000Z

tests/test_auth.py

cailholm/django-saml2-pro-auth

7da92ad814111726cddea0c4a39f29324a5ab2b4

[ "MIT" ]

29

2017-11-01T14:31:00.000Z

2020-02-06T08:33:14.000Z

tests/test_auth.py

cailholm/django-saml2-pro-auth

7da92ad814111726cddea0c4a39f29324a5ab2b4

[ "MIT" ]

24

2017-11-01T15:17:49.000Z

2020-01-10T17:06:28.000Z

from django.test import TestCase from django.test.utils import override_settings from saml2_pro_auth.auth import get_clean_map from saml2_pro_auth.utils import SAMLSettingsError class TestAuth(TestCase): def test_mapping_users_with_index_values(self): user_map = { "email": {"index": 0, "key": "Email"}, "name": {"index": 0, "key": "Username"}, } saml_map = { "Username": ["montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") def test_mapping_users_without_index_values(self): user_map = {"email": "Email", "name": "Username"} saml_map = { "Username": ["montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") def test_mapping_users_with_mixed_value_styles(self): user_map = { "email": "Email", "name": {"index": 1, "key": "Username"}, "customer": {"key": "Client"}, } saml_map = { "Username": ["", "montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], "Client": ["examplecorp"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") self.assertEqual(merged_map["customer"], "examplecorp") def test_mapping_users_with_default_values(self): user_map = { "email": "Email", "name": {"index": 1, "key": "Username", "default": "testUsername"}, "customer": {"key": "Client", "default": "testClient"}, } saml_map = { "Username": ["", "montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], "Client": ["examplecorp"], } self.assertRaises(SAMLSettingsError, get_clean_map, user_map, saml_map) @override_settings(SAML_USERS_STRICT_MAPPING=False) def test_non_strict_mapping_users_with_index_values(self): user_map = { "email": {"index": 0, "key": "Email"}, "name": {"index": 0, "key": "Username"}, "age": {"index": 0, "key": "Age"}, } saml_map = { "Username": ["montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") self.assertTrue("age" not in merged_map) @override_settings(SAML_USERS_STRICT_MAPPING=False) def test_non_strict_mapping_users_without_index_values(self): user_map = { "email": "Email", "name": "Username", "age": "Age", } saml_map = { "Username": ["montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") self.assertTrue("age" not in merged_map) @override_settings(SAML_USERS_STRICT_MAPPING=False) def test_non_strict_mapping_users_with_mixed_value_styles(self): user_map = { "email": "Email", "name": {"index": 1, "key": "Username"}, "customer": {"key": "Client"}, "age": "Age", } saml_map = { "Username": ["", "montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], "Client": ["examplecorp"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") self.assertEqual(merged_map["customer"], "examplecorp") self.assertTrue("age" not in merged_map) @override_settings(SAML_USERS_STRICT_MAPPING=False) def test_non_strict_mapping_users_with_default_value(self): user_map = { "email": {"key": "Email"}, "name": {"key": "Username", "index": 1}, "is_superuser": {"key": "is_superuser", "default": False}, "is_staff": {"key": "is_staff", "default": True}, } saml_map = { "Username": ["", "montypython"], "lastName": ["Cleese"], "Email": ["montypython@example.com"], "firstName": ["John"], "Client": ["examplecorp"], } merged_map = get_clean_map(user_map, saml_map) self.assertEqual(merged_map["email"], "montypython@example.com") self.assertEqual(merged_map["name"], "montypython") self.assertEqual(merged_map["is_superuser"], False) self.assertEqual(merged_map["is_staff"], True)

35.407407

79

0.560669

564

5,736

5.427305

0.111702

0.082326

0.123489

0.14113

0.862463

0.843515

0.834368

0

0.002656

0.278068

5,736

161

80

35.627329

0.736537

0

0.703704

0

0.251743

0.060146

0

0.162963

1

0.059259

false

0

0.02963

0

0.096296

0

null

0

1

0

1

0

null

0

7

af44c51d8d646cae14ec97ee96416d490d3971b3

2,687

py

Python

test/regex.py

jesopo/scpl

1fa5acfb468ab212276781fa1760bb5eda438c23

[ "MIT" ]

null

test/regex.py

jesopo/scpl

1fa5acfb468ab212276781fa1760bb5eda438c23

[ "MIT" ]

2

2021-11-15T11:12:14.000Z

2021-11-15T17:35:27.000Z

test/regex.py

jesopo/scpl

1fa5acfb468ab212276781fa1760bb5eda438c23

[ "MIT" ]

null

import re, unittest from ipaddress import ip_network from scpl.regex import lexer class RegexTestLexer(unittest.TestCase): def test_literal(self): tokens = lexer.tokenise("abc") self.assertEqual(len(tokens), 3) self.assertIsInstance(tokens[0], lexer.RegexTokenLiteral) self.assertEqual(tokens[0].text, "a") self.assertIsInstance(tokens[1], lexer.RegexTokenLiteral) self.assertEqual(tokens[1].text, "b") self.assertIsInstance(tokens[2], lexer.RegexTokenLiteral) self.assertEqual(tokens[2].text, "c") def test_repeats(self): tokens = lexer.tokenise("a+a*") self.assertEqual(len(tokens), 4) self.assertIsInstance(tokens[0], lexer.RegexTokenLiteral) self.assertEqual(tokens[0].text, "a") self.assertIsInstance(tokens[1], lexer.RegexTokenOperator) self.assertEqual(tokens[1].text, "+") self.assertIsInstance(tokens[2], lexer.RegexTokenLiteral) self.assertEqual(tokens[2].text, "a") self.assertIsInstance(tokens[3], lexer.RegexTokenOperator) self.assertEqual(tokens[3].text, "*") def test_group(self): tokens = lexer.tokenise("(a)") self.assertEqual(len(tokens), 3) self.assertIsInstance(tokens[0], lexer.RegexTokenScope) self.assertEqual(tokens[0].text, "(") self.assertIsInstance(tokens[1], lexer.RegexTokenLiteral) self.assertEqual(tokens[1].text, "a") self.assertIsInstance(tokens[2], lexer.RegexTokenScope) self.assertEqual(tokens[2].text, ")") def test_group_nested(self): tokens = lexer.tokenise("((a))") self.assertEqual(len(tokens), 5) self.assertIsInstance(tokens[0], lexer.RegexTokenScope) self.assertEqual(tokens[0].text, "(") self.assertIsInstance(tokens[1], lexer.RegexTokenScope) self.assertEqual(tokens[1].text, "(") self.assertIsInstance(tokens[2], lexer.RegexTokenLiteral) self.assertEqual(tokens[2].text, "a") self.assertIsInstance(tokens[3], lexer.RegexTokenScope) self.assertEqual(tokens[3].text, ")") self.assertIsInstance(tokens[4], lexer.RegexTokenScope) self.assertEqual(tokens[4].text, ")") def test_group_flags(self): tokens = lexer.tokenise("(?i:a)") self.assertEqual(len(tokens), 3) self.assertIsInstance(tokens[0], lexer.RegexTokenScope) self.assertEqual(tokens[0].text, "(?i:") self.assertIsInstance(tokens[1], lexer.RegexTokenLiteral) self.assertEqual(tokens[1].text, "a") self.assertIsInstance(tokens[2], lexer.RegexTokenScope) self.assertEqual(tokens[2].text, ")")

43.33871

66

0.662449

293

2,687

6.047782

0.139932

0.194695

0.264108

0.167043

0.850451

0.73307

0.693002

0

0.018868

0.191291

2,687

61

67

44.04918

0.796595

0

0.472727

0

0.015631

0

0.745455

1

0.090909

false

0

0.054545

0

0.163636

0

null

0

1

0

null

0

1

0

9

af521633408b711dd587da7205a1395231e2ce0e

47

py

Python

test/__init__.py

stanford-policylab/mathbot

f41febffaaa78e6e1d09994cd9c34df5185ce251

[ "MIT" ]

1

2020-10-15T03:14:21.000Z

test/__init__.py

stanford-policylab/mathbot

f41febffaaa78e6e1d09994cd9c34df5185ce251

[ "MIT" ]

null

test/__init__.py

stanford-policylab/mathbot

f41febffaaa78e6e1d09994cd9c34df5185ce251

[ "MIT" ]

null

from .test_db import * from .test_app import *

15.666667

23

0.744681

8

47

4.125

0.625

0.484848

0

0.170213

47

2

24

23.5

0.846154

0

1

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true

0

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1

0

1

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null

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0

1

0

null

0

1

0

1

0

1

0

7

afb21a7501bcb684aadefc9c664f65fad3e69973

13,858

py

Python

tests/test_oblique_shock_relations.py

Rigel09/CompAero

79a2902880c5bf6030794d585a48fbbf0c7df344

[ "MIT" ]

1

2022-03-29T23:59:16.000Z

tests/test_oblique_shock_relations.py

Rigel09/CompAero

79a2902880c5bf6030794d585a48fbbf0c7df344

[ "MIT" ]

7

2022-01-15T15:38:45.000Z

2022-01-22T16:32:16.000Z

tests/test_oblique_shock_relations.py

Rigel09/CompAero

79a2902880c5bf6030794d585a48fbbf0c7df344

[ "MIT" ]

null

from math import radians from pytest import approx import pytest from CompAero.ObliqueShockRelations import ObliqueShockRelations as osr from CompAero.internal import InvalidOptionCombinationError, ShockType class TestObliqueShockClassFuncs: gamma = 1.4 ####################################################################################### # Test the Functions for Subsonic Case ####################################################################################### # TODO: Figure out how to handle some of the functions that calculate mach from a value? # What to do for the subsonic case, raise an exception? # Can it be detected? I.E. value always greater than X for mach > 1? def test_subsonic_p2_p1(self): with pytest.raises(ValueError): osr.calc_mach_normal_ahead_shock(0.5, self.gamma) ####################################################################################### # Test the Functions for Superonic Case ####################################################################################### # TODO: This function needs more tests and more checking on output validation def test_supersonic_calc_mach_normal_1(self): assert osr.calc_mach_normal_ahead_shock(1.5, radians(53.61)) == approx(1.2075, rel=1e-4) def test_supersonic_calc_mach_from_mach_normal_1(self): assert osr.calc_mach_ahead_shock_from_mach_normal_ahead_shock(1.207496034, radians(53.61)) == approx( 1.5, rel=1e-1 ) def test_supersonic_calc_beta_from_mach_normal_1(self): assert osr.calc_beta_from_mach_mach_normal_ahead_shock(1.5, 1.25340) == approx( radians(56.67868), rel=1e-4 ) def test_supersonic_calc_mach_2(self): assert osr.calc_mach_behind_shock(0.83754, radians(8.56287), radians(53.61)) == approx( 1.18349, rel=1e-4 ) def test_supersonic_calc_mn2_from_m2(self): assert osr.calc_mach_normal_behind_shock_from_mach_behind_shock( 1.11438, radians(56.67868), radians(10.0) ) == approx(0.81073, rel=1e-4) def test_supersonic_calc_theta_from_beta_mach(self): assert osr.calc_theta_from_theta_beta_mach(radians(56.67868), 1.5, self.gamma) == approx( radians(10.0), rel=1e-1 ) def test_supersonic_calc_beta_from_theta_mach_weak(self): assert osr.calc_beta_from_theta_beta_mach_weak(radians(10.0), 1.5, self.gamma) == approx( radians(56.67868), rel=1e-4 ) def test_supersonic_calc_beta_from_theta_mach_strong(self): assert osr.calc_beta_from_theta_beta_mach_strong(radians(10.0), 1.5, self.gamma) == approx( radians(75.99487), rel=1e-4 ) def test_supersonic_calc_mach_from_theta_beta(self): assert osr.calc_mach_from_theta_beta_mach(radians(56.67868), radians(10.0), self.gamma) == approx( 1.5, rel=1e-4 ) def test_supersonic_max_flow_deflection_angle(self): assert osr.calc_max_flow_deflection_angle(radians(66.5888), 1.5, self.gamma) == approx( radians(12.11267), rel=1e-4 ) def test_supersonic_max_shock_angle(self): assert osr.calc_max_shock_angle(1.5, self.gamma) == approx(radians(66.5888), rel=1e-4) def test_supersonic_calc_mach_wave_angle(self): assert osr.calc_mach_wave_angle(1.5) == approx(radians(41.8103149), rel=1e-5) def test_supersonic_calc_mach_from_mach_wave_angle(self): assert osr.calc_mach_from_mach_wave_angle(radians(41.8103149)) == approx(1.5, rel=1e-1) # TODO: Figure out someway to test the plotting feature of the TBM chart ########################################################################################################### # Test the class construction ########################################################################################################### class TestObliqueShockRelationsClass: gamma = 1.4 def test_construction_from_mach_flow_deflection(self): inst = osr(self.gamma, mach=1.5, wedgeAngle=10.0) assert inst.shockAngle == approx(radians(56.67868), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.25340, rel=1e-4) assert inst.machNorm2 == approx(0.81073, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(1.5, rel=1e-1) assert inst.p2_p1 == approx(1.66619, rel=1e-4) assert inst.rho2_rho1 == approx(1.43450, rel=1e-4) assert inst.t2_t1 == approx(1.16151, rel=1e-4) assert inst.po2_po1 == approx(0.98660, rel=1e-4) assert inst.po2_p1 == approx(2.56720) assert inst.mach2 == approx(1.11438, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_mach_norm1_shock_angle(self): inst = osr(self.gamma, mn1=1.2534, shockAngle=56.67868) assert inst.shockAngle == approx(radians(56.67868), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.25340, rel=1e-4) assert inst.machNorm2 == approx(0.81073, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(1.5, rel=1e-1) assert inst.p2_p1 == approx(1.66619, rel=1e-4) assert inst.rho2_rho1 == approx(1.43450, rel=1e-4) assert inst.t2_t1 == approx(1.16151, rel=1e-4) assert inst.po2_po1 == approx(0.98660, rel=1e-4) assert inst.po2_p1 == approx(2.5672, rel=1e-4) assert inst.mach2 == approx(1.11438, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_shock_angle_wedge_angle(self): inst = osr(self.gamma, wedgeAngle=10.0, shockAngle=56.67868) assert inst.shockAngle == approx(radians(56.67868), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.25340, rel=1e-4) assert inst.machNorm2 == approx(0.81073, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(1.5, rel=1e-1) assert inst.p2_p1 == approx(1.66619, rel=1e-4) assert inst.rho2_rho1 == approx(1.43450, rel=1e-4) assert inst.t2_t1 == approx(1.16151, rel=1e-4) assert inst.po2_po1 == approx(0.98660, rel=1e-4) assert inst.po2_p1 == approx(2.5672, rel=1e-4) assert inst.mach2 == approx(1.11438, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_shock_angle_wedge_angle_m2_fail(self): with pytest.raises(ValueError): inst = osr(self.gamma, wedgeAngle=10.0, shockAngle=56.67868, m2=2.5672) def test_construction_from_shock_angle_wedge_angle_m2(self): inst = osr(self.gamma, wedgeAngle=10.0, shockAngle=23.01624, m2=3.13545) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_shock_angle_wedge_angle(self): inst = osr(self.gamma, wedgeAngle=10.0, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_po2_p1(self): inst = osr(self.gamma, po2_p1=3.35977, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_p2_p1(self): inst = osr(self.gamma, p2_p1=2.40876, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_rho2_rho1(self): inst = osr(self.gamma, rho2_rho1=1.83768, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_t2_t1(self): inst = osr(self.gamma, t2_t1=1.31077, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_po2_po1(self): inst = osr(self.gamma, po2_po1=0.93423, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_from_mn2_shock_angle(self): inst = osr(self.gamma, mn2=0.70619, shockAngle=23.01624) assert inst.shockAngle == approx(radians(23.01624), rel=1e-4) assert inst.wedgeAngle == approx(radians(10.0), rel=1e-4) assert inst.machNorm1 == approx(1.48577, rel=1e-4) assert inst.machNorm2 == approx(0.70619, rel=1e-4) assert inst.gamma == approx(self.gamma, rel=1e-1) assert inst.mach == approx(3.8, rel=1e-1) assert inst.p2_p1 == approx(2.40876, rel=1e-4) assert inst.rho2_rho1 == approx(1.83768, rel=1e-4) assert inst.t2_t1 == approx(1.31077, rel=1e-4) assert inst.po2_po1 == approx(0.93423, rel=1e-4) assert inst.po2_p1 == approx(3.35977, rel=1e-4) assert inst.mach2 == approx(3.13545, rel=1e-4) assert inst.shockType == ShockType.WEAK def test_construction_not_enough_args(self): with pytest.raises(InvalidOptionCombinationError): inst = osr(self.gamma)

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bb638509ed8243e8ff6ac5a079efd46e74da6470

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Python

tests/test_dump_to_ckan.py

OriHoch/datapackage-pipelines-ckan

7783eed00ce1bb2e8f5e689df5232a72f9e6a1c1

[ "MIT" ]

null

tests/test_dump_to_ckan.py

OriHoch/datapackage-pipelines-ckan

7783eed00ce1bb2e8f5e689df5232a72f9e6a1c1

[ "MIT" ]

9

2017-10-04T10:09:13.000Z

2019-04-15T12:47:12.000Z

tests/test_dump_to_ckan.py

OriHoch/datapackage-pipelines-ckan

7783eed00ce1bb2e8f5e689df5232a72f9e6a1c1

[ "MIT" ]

1

2018-09-13T13:16:06.000Z

import importlib import io import json import os import unittest import requests_mock import mock from datapackage_pipelines.wrapper.input_processor import ResourceIterator import datapackage_pipelines_ckan.processors import logging log = logging.getLogger(__name__) @mock.patch('datapackage_pipelines.lib.dump.dumper_base.ingest') @mock.patch('datapackage_pipelines.lib.dump.dumper_base.spew') def mock_dump_test(processor, ingest_tuple, mock_spew, mock_ingest): '''Helper function returns the `spew` for a given processor with a given `ingest` tuple.''' # Mock all calls to `ingest` to return `ingest_tuple` mock_ingest.return_value = ingest_tuple # Call processor file_path = processor module_name = '__main__' spec = importlib.util.spec_from_file_location(module_name, file_path) module = importlib.util.module_from_spec(spec) spec.loader.exec_module(module) # Our processor called `spew`. Return the args it was called with. return mock_spew.call_args class TestDumpToCkanProcessor(unittest.TestCase): @requests_mock.mock() def test_dump_to_ckan_no_resources(self, mock_request): base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) mock_request.post(package_create_url, json={ 'success': True, 'result': {'id': 'ckan-package-id'}}) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'dataset-properties': { 'extra_prop': 'hi' } } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. spew_args, _ = mock_dump_test(processor_path, (params, datapackage, [])) spew_res_iter = spew_args[1] assert list(spew_res_iter) == [] requests = mock_request.request_history assert len(requests) == 1 assert requests[0].url == package_create_url @requests_mock.mock() def test_dump_to_ckan_package_create_error(self, mock_request): '''Create failed due to existing package, no overwrite so raise exception''' base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) mock_request.post(package_create_url, json={ 'success': False, 'error': {"__type": "Validation Error", "name": ["That URL is already in use."]} }) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key' } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. spew_args, _ = mock_dump_test(processor_path, (params, datapackage, [])) spew_res_iter = spew_args[1] with self.assertRaises(Exception): list(spew_res_iter) requests = mock_request.request_history assert len(requests) == 1 assert requests[0].url == package_create_url @requests_mock.mock() def test_dump_to_ckan_package_create_error_overwrite(self, mock_request): '''Create failed due to existing package, overwrite so update existing package.''' base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) package_update_url = '{}package_update'.format(base_url) mock_request.post(package_create_url, json={ 'success': False, 'error': {"__type": "Validation Error", "name": ["That URL is already in use."]} }) mock_request.post(package_update_url, json={ 'success': True, 'result': {'id': 'ckan-package-id'}}) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'overwrite_existing': True } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. spew_args, _ = mock_dump_test(processor_path, (params, datapackage, [])) spew_res_iter = spew_args[1] assert list(spew_res_iter) == [] requests = mock_request.request_history assert len(requests) == 2 assert requests[0].url == package_create_url assert requests[1].url == package_update_url @requests_mock.mock() def test_dump_to_ckan_package_create_resources(self, mock_request): '''Create package with non-streaming resources.''' base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) resource_create_url = '{}resource_create'.format(base_url) mock_request.post(package_create_url, json={ 'success': True, 'result': {'id': 'ckan-package-id'}}) mock_request.post(resource_create_url, json={ 'success': True, 'result': {'id': 'ckan-resource-id'}}) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [{ "dpp:streamedFrom": "https://example.com/file.csv", "name": "resource_not_streamed", "path": ".", "format": "csv" }, { "dpp:streamedFrom": "https://example.com/file_02.csv", "name": "resource_not_streamed_02", "path": "." }] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'overwrite_existing': True } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. spew_args, _ = mock_dump_test(processor_path, (params, datapackage, [])) spew_res_iter = spew_args[1] assert list(spew_res_iter) == [] requests = mock_request.request_history assert len(requests) == 3 assert requests[0].url == package_create_url assert requests[1].url == resource_create_url assert requests[2].url == resource_create_url @requests_mock.mock() def test_dump_to_ckan_package_create_streaming_resource(self, mock_request): '''Create package with streaming resource.''' base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) resource_create_url = '{}resource_create'.format(base_url) mock_request.post(package_create_url, json={ 'success': True, 'result': {'id': 'ckan-package-id'}}) mock_request.post(resource_create_url, json={ 'success': True, 'result': {'id': 'ckan-resource-id'}}) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [{ "dpp:streamedFrom": "https://example.com/file.csv", "dpp:streaming": True, "name": "resource_streamed.csv", "path": "data/file.csv", 'schema': {'fields': [ {'name': 'first', 'type': 'string'}, {'name': 'last', 'type': 'string'} ]} }, { "dpp:streamedFrom": "https://example.com/file_02.csv", "name": "resource_not_streamed.csv", "path": "." }] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'overwrite_existing': True, 'force-format': True } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. json_file = {'first': 'Fred', 'last': 'Smith'} json_file = json.dumps(json_file) spew_args, _ = mock_dump_test( processor_path, (params, datapackage, iter([ResourceIterator(io.StringIO(json_file), datapackage['resources'][0], {'schema': {'fields': []}}) ]))) spew_res_iter = spew_args[1] for r in spew_res_iter: list(r) # iterate the row to yield it requests = mock_request.request_history assert len(requests) == 3 assert requests[0].url == package_create_url assert requests[1].url == resource_create_url assert requests[2].url == resource_create_url @requests_mock.mock() def test_dump_to_ckan_package_create_streaming_resource_fail(self, mock_request): '''Create package with streaming resource, which failed to create resource.''' base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) resource_create_url = '{}resource_create'.format(base_url) mock_request.post(package_create_url, json={ 'success': True, 'result': {'id': 'ckan-package-id'}}) mock_request.post(resource_create_url, json={ 'success': False, 'error': {"__type": "Validation Error", "name": ["Some validation error."]} }) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [{ "dpp:streamedFrom": "https://example.com/file.csv", "dpp:streaming": True, "name": "resource_streamed.csv", "path": "data/file.csv", 'schema': {'fields': [ {'name': 'first', 'type': 'string'}, {'name': 'last', 'type': 'string'} ]} }, { "dpp:streamedFrom": "https://example.com/file_02.csv", "name": "resource_not_streamed.csv", "path": "." }] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'overwrite_existing': True, 'force-format': True } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. json_file = {'first': 'Fred', 'last': 'Smith'} json_file = json.dumps(json_file) spew_args, _ = mock_dump_test( processor_path, (params, datapackage, iter([ResourceIterator(io.StringIO(json_file), datapackage['resources'][0], {'schema': {'fields': []}}) ]))) spew_res_iter = spew_args[1] with self.assertRaises(Exception): for r in spew_res_iter: list(r) # iterate the row to yield it @requests_mock.mock() def test_dump_to_ckan_package_create_streaming_resource_datastore(self, mock_request): # noqa '''Create package with streaming resource, and pushing to datastore.''' package_id = 'ckan-package-id' base_url = 'https://demo.ckan.org/api/3/action/' package_create_url = '{}package_create'.format(base_url) resource_create_url = '{}resource_create'.format(base_url) package_show_url = '{}package_show?id={}'.format(base_url, package_id) datastore_search_url = \ '{}datastore_search?resource_id=_table_metadata'.format(base_url) datastore_create_url = '{}datastore_create'.format(base_url) datastore_upsert_url = '{}datastore_upsert'.format(base_url) mock_request.post(package_create_url, json={ 'success': True, 'result': {'id': package_id}}) mock_request.post(resource_create_url, json={ 'success': True, 'result': {'id': 'ckan-resource-id'}}) mock_request.get(package_show_url, json={ 'success': True, 'result': { 'id': '7766839b-face-4336-8e1a-3c51c5e7634d', 'resources': [ { 'name': 'co2-mm-mlo_csv_not_streamed', 'format': 'CSV', 'url': 'https://pkgstore.datahub.io/core/co2-ppm:co2-mm-mlo_csv/data/co2-mm-mlo_csv.csv', 'datastore_active': False, 'cache_last_updated': None, 'package_id': '7766839b-face-4336-8e1a-3c51c5e7634d', 'id': '329e4271-8cc3-48c9-a219-c8eab52acc65', }, { 'name': 'co2-mm-mlo_csv_streamed', 'encoding': 'utf-8', 'url': 'https://demo.ckan.org/dataset/7766839b-face-4336-8e1a-3c51c5e7634d/resource/723380d7-688a-465f-b0bd-ff6d1ec25680/download/co2-mm-mlo_csv_streamed.csv', 'datastore_active': False, 'format': 'CSV', 'package_id': '7766839b-face-4336-8e1a-3c51c5e7634d', 'id': '723380d7-688a-465f-b0bd-ff6d1ec25680', } ], 'num_resources': 2, 'name': 'test-dataset-010203', 'title': 'Test Dataset' } }) mock_request.get(datastore_search_url, json={ 'success': True, 'result': { 'resource_id': '_table_metadata', 'records': [] }}) mock_request.post(datastore_create_url, json={ 'success': True, 'result': { 'resource_id': '7564690e-86ec-44de-a3f5-2cff9cbb521f' } }) mock_request.post(datastore_upsert_url, json={ 'success': True }) # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [{ "dpp:streamedFrom": "https://example.com/file.csv", "dpp:streaming": True, "name": "resource_streamed.csv", "path": "data/file.csv", 'schema': {'fields': [ {'name': 'first', 'type': 'string'}, {'name': 'last', 'type': 'string'} ]} }, { "dpp:streamedFrom": "https://example.com/file_02.csv", "name": "resource_not_streamed.csv", "path": "." }] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'overwrite_existing': True, 'force-format': True, 'push_resources_to_datastore': True } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. json_file = {'first': 'Fred', 'last': 'Smith'} json_file = json.dumps(json_file) spew_args, _ = mock_dump_test( processor_path, (params, datapackage, iter([ResourceIterator(io.StringIO(json_file), datapackage['resources'][0], {'schema': {'fields': []}}) ]))) spew_res_iter = spew_args[1] for r in spew_res_iter: list(r) # iterate the row to yield it requests = mock_request.request_history assert len(requests) == 7 assert requests[0].url == package_create_url assert requests[1].url == resource_create_url assert requests[2].url == resource_create_url assert requests[3].url == package_show_url assert requests[4].url.startswith(datastore_search_url) assert requests[5].url == datastore_create_url assert requests[6].url == datastore_upsert_url @requests_mock.mock() def test_dump_to_ckan_package_create_streaming_resource_datastore_method_invalid(self, mock_request): # noqa '''Create package with streaming resource, and pushing to datastore, with an invalid method.''' # input arguments used by our mock `ingest` datapackage = { 'name': 'my-datapackage', 'project': 'my-project', 'resources': [{ "dpp:streamedFrom": "https://example.com/file.csv", "dpp:streaming": True, "name": "resource_streamed.csv", "path": "data/file.csv", 'schema': {'fields': [ {'name': 'first', 'type': 'string'}, {'name': 'last', 'type': 'string'} ]} }, { "dpp:streamedFrom": "https://example.com/file_02.csv", "name": "resource_not_streamed.csv", "path": "." }] } params = { 'ckan-host': 'https://demo.ckan.org', 'ckan-api-key': 'my-api-key', 'overwrite_existing': True, 'force-format': True, 'push_resources_to_datastore': True, 'push_resources_to_datastore_method': 'invalid' } # Path to the processor we want to test processor_dir = \ os.path.dirname(datapackage_pipelines_ckan.processors.__file__) processor_path = os.path.join(processor_dir, 'dump/to_ckan.py') # Trigger the processor with our mock `ingest` and capture what it will # returned to `spew`. json_file = {'first': 'Fred', 'last': 'Smith'} json_file = json.dumps(json_file) with self.assertRaises(RuntimeError): spew_args, _ = mock_dump_test( processor_path, (params, datapackage, iter([ResourceIterator(io.StringIO(json_file), datapackage['resources'][0], {'schema': {'fields': []}}) ])))

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7

bb9fb99aed99ebb3c17de317761d0f1013b4385c

4,543

py

Python

pyaz/billing/profile/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/billing/profile/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

null

pyaz/billing/profile/__init__.py

py-az-cli/py-az-cli

9a7dc44e360c096a5a2f15595353e9dad88a9792

[ "MIT" ]

1

2022-02-03T09:12:01.000Z

''' Manage billing profile of billing account ''' from ... pyaz_utils import _call_az def list(account_name, expand=None): ''' List the billing profiles that a user has access to. The operation is supported for billing accounts with agreement type Microsoft Customer Agreement or Microsoft Partner Agreement. Required Parameters: - account_name -- The ID that uniquely identifies a billing account. Optional Parameters: - expand -- May be used to expand the invoice sections. ''' return _call_az("az billing profile list", locals()) def show(account_name, name, expand=None): ''' Get a billing profile by its ID. The operation is supported for billing accounts with agreement type Microsoft Customer Agreement or Microsoft Partner Agreement. Required Parameters: - account_name -- The ID that uniquely identifies a billing account. - name -- The ID that uniquely identifies a billing profile. Optional Parameters: - expand -- May be used to expand the invoice sections. ''' return _call_az("az billing profile show", locals()) def create(account_name, name, bill_to=None, display_name=None, enabled_azure_plans=None, invoice_email_opt_in=None, invoice_sections_value=None, no_wait=None, po_number=None): ''' Creates or updates a billing profile. The operation is supported for billing accounts with agreement type Microsoft Customer Agreement or Microsoft Partner Agreement. Required Parameters: - account_name -- The ID that uniquely identifies a billing account. - name -- The ID that uniquely identifies a billing profile. Optional Parameters: - bill_to -- Billing address. - display_name -- The name of the billing profile. - enabled_azure_plans -- Information about the enabled azure plans. - invoice_email_opt_in -- Flag controlling whether the invoices for the billing profile are sent through email. - invoice_sections_value -- The invoice sections associated to the billing profile. Expected value: json-string/@json-file. - no_wait -- Do not wait for the long-running operation to finish. - po_number -- The purchase order name that will appear on the invoices generated for the billing profile. ''' return _call_az("az billing profile create", locals()) def update(account_name, name, bill_to=None, display_name=None, enabled_azure_plans=None, invoice_email_opt_in=None, invoice_sections_value=None, no_wait=None, po_number=None): ''' Creates or updates a billing profile. The operation is supported for billing accounts with agreement type Microsoft Customer Agreement or Microsoft Partner Agreement. Required Parameters: - account_name -- The ID that uniquely identifies a billing account. - name -- The ID that uniquely identifies a billing profile. Optional Parameters: - bill_to -- Billing address. - display_name -- The name of the billing profile. - enabled_azure_plans -- Information about the enabled azure plans. - invoice_email_opt_in -- Flag controlling whether the invoices for the billing profile are sent through email. - invoice_sections_value -- The invoice sections associated to the billing profile. Expected value: json-string/@json-file. - no_wait -- Do not wait for the long-running operation to finish. - po_number -- The purchase order name that will appear on the invoices generated for the billing profile. ''' return _call_az("az billing profile update", locals()) def wait(account_name, name, created=None, custom=None, deleted=None, exists=None, expand=None, interval=None, timeout=None, updated=None): ''' Place the CLI in a waiting state until a condition of the billing profile is met. Required Parameters: - account_name -- The ID that uniquely identifies a billing account. - name -- The ID that uniquely identifies a billing profile. Optional Parameters: - created -- wait until created with 'provisioningState' at 'Succeeded' - custom -- Wait until the condition satisfies a custom JMESPath query. E.g. provisioningState!='InProgress', instanceView.statuses[?code=='PowerState/running'] - deleted -- wait until deleted - exists -- wait until the resource exists - expand -- May be used to expand the invoice sections. - interval -- polling interval in seconds - timeout -- maximum wait in seconds - updated -- wait until updated with provisioningState at 'Succeeded' ''' return _call_az("az billing profile wait", locals())

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1

0

1

0

7

bbbf6c41bb7fb4ae28bc9212c9f92225f27f15ff

105,489

py

Python

kuaizi/fitting.py

AstroJacobLi/kuaizi

065fc45223bcf497e90b38f25c186654daf3c29d

[ "MIT" ]

5

2021-06-03T06:45:57.000Z

2022-03-30T18:50:29.000Z

kuaizi/fitting.py

AstroJacobLi/kuaizi

065fc45223bcf497e90b38f25c186654daf3c29d

[ "MIT" ]

4

2021-03-19T08:05:39.000Z

2022-03-23T18:04:16.000Z

kuaizi/fitting.py

AstroJacobLi/kuaizi

065fc45223bcf497e90b38f25c186654daf3c29d

[ "MIT" ]

1

2021-06-03T06:45:59.000Z

# Import packages import os import sys import pickle import dill import time import copy import astropy.units as u import matplotlib.pyplot as plt import numpy as np import scarlet import sep from astropy import wcs from astropy.convolution import Box2DKernel, Gaussian2DKernel, convolve from astropy.coordinates import SkyCoord, match_coordinates_sky from astropy.io import fits from astropy.table import Column, Table from astropy.utils.data import clear_download_cache, download_file from IPython.display import clear_output # Initialize `unagi` # from unagi import config, hsc, plotting # from unagi.task import hsc_cutout, hsc_psf # Import kuaizi import kuaizi as kz from kuaizi import HSC_pixel_scale, HSC_zeropoint from kuaizi.detection import Data from kuaizi.display import SEG_CMAP, display_single sys.setrecursionlimit(10000) plt.rcParams['font.size'] = 15 plt.rc('image', cmap='inferno', interpolation='none', origin='lower') def _fitting_single_comp(lsbg, hsc_dr, cutout_halfsize=1.0, prefix='LSBG', large_away_factor=3.0, compact_away_factor=0.4): from kuaizi.utils import padding_PSF kz.utils.set_env(project='HSC', name='HSC_LSBG') # kz.utils.set_matplotlib(usetex=False, fontsize=15) index = lsbg['Seq'] lsbg_coord = SkyCoord(ra=lsbg['RAJ2000'], dec=lsbg['DEJ2000'], unit='deg') if not os.path.isdir('./Images'): os.mkdir('./Images') if not os.path.isdir('./PSFs'): os.mkdir('./PSFs') size_ang = cutout_halfsize * u.arcmin channels = 'griz' cutout = hsc_cutout( lsbg_coord, cutout_size=size_ang, filters=channels, mask=True, variance=True, archive=hsc_dr, use_saved=True, output_dir='./Images/', prefix=f'{prefix}_{index:04d}_img', save_output=True) psf_list = hsc_psf( lsbg_coord, centered=True, filters=channels, img_type='coadd', verbose=True, archive=hsc_dr, save_output=True, use_saved=True, prefix=f'{prefix}_{index:04d}_psf', output_dir='./PSFs/') channels_list = list(channels) # Reconstructure data images = np.array([hdu[1].data for hdu in cutout]) w = wcs.WCS(cutout[0][1].header) # note: all bands share the same WCS here filters = channels_list weights = 1 / np.array([hdu[3].data for hdu in cutout]) psf_pad = padding_PSF(psf_list) # Padding PSF cutouts from HSC psfs = scarlet.ImagePSF(np.array(psf_pad)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) _, msk_star = kz.utils.gaia_star_mask( # Generate a mask for GAIA bright stars data.images.mean(axis=0), # averaged image w, pixel_scale=HSC_pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=1.4) # This detection (after blurring the original images) finds out what is the central object and its (estimated) size obj_cat_ori, segmap, bg_rms = kz.detection.makeCatalog( [data], lvl=8, method='wavelet', convolve=False, # conv_radius=2, wavelet_lvl=5, low_freq_lvl=3, high_freq_lvl=0, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.01, sky_subtract=True) catalog_c = SkyCoord(obj_cat_ori['ra'], obj_cat_ori['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx = obj_cat_ori[np.argsort(dist)[0]]['index'] cen_obj = obj_cat_ori[cen_indx] # print(f'# Central object is #{cen_indx}.') # Better position for cen_obj x, y, _ = sep.winpos(data.images.mean( axis=0), cen_obj['x'], cen_obj['y'], 6) ra, dec = data.wcs.wcs_pix2world(x, y, 0) cen_obj['x'] = x cen_obj['y'] = y cen_obj['ra'] = ra cen_obj['dec'] = dec # This step masks out high freq sources after wavelet transformation obj_cat, segmap, bg_rms = kz.detection.makeCatalog([data], mask=msk_star, lvl=2.5, method='wavelet', high_freq_lvl=1, wavelet_lvl=3, match_gaia=False, show_fig=True, visual_gaia=False, b=32, f=3, pixel_scale=0.168, minarea=5, deblend_nthresh=30, deblend_cont=0.001, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) for ind in np.where(dist < (compact_away_factor * cen_obj['fwhm_custom'] * HSC_pixel_scale) * u.arcsec)[0]: # we do not mask compact sources that are nearby to the center of target galaxy segmap[segmap == ind + 1] = 0 smooth_radius = 2 gaussian_threshold = 0.03 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask` only masks compact sources seg_mask = (mask_conv >= gaussian_threshold) # This step masks out bright and large contamination, which is not well-masked in previous step obj_cat, segmap, bg_rms = kz.detection.makeCatalog( [data], lvl=10, # relative agressive threshold method='vanilla', match_gaia=False, show_fig=True, visual_gaia=False, b=40, f=3, pixel_scale=0.168, minarea=20, # only want large things deblend_nthresh=30, deblend_cont=0.001, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) arr = np.zeros_like(segmap).astype('uint8') sep.mask_ellipse( arr, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=large_away_factor) # don't mask the target galaxy too much for ind, obj in enumerate(obj_cat): if arr[int(obj['y']), int(obj['x'])] == 1: segmap[segmap == ind + 1] = 0 smooth_radius = 4 gaussian_threshold = 0.01 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask_large` masks large bright sources seg_mask_large = (mask_conv >= gaussian_threshold) # Set weights of masked pixels to zero for layer in data.weights: layer[msk_star.astype(bool)] = 0 layer[seg_mask.astype(bool)] = 0 layer[seg_mask_large.astype(bool)] = 0 # Construct `scarlet` frames and observation from functools import partial model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(filters)) model_frame = scarlet.Frame( data.images.shape, wcs=w, psfs=model_psf, channels=filters) observation = scarlet.Observation( data.images, wcs=data.wcs, psfs=data.psfs, weights=data.weights, channels=filters) observation = observation.match(model_frame) # Add sources from scarlet.initialization import build_initialization_coadd coadd, bg_cutoff = build_initialization_coadd(observation) coadd[(seg_mask_large + seg_mask + msk_star.astype(bool))] = 0.0 sources = [] src = obj_cat_ori[cen_indx] if HSC_zeropoint - 2.5 * np.log10(src['flux']) > 26.5: # If too faint, single component new_source = scarlet.source.SingleExtendedSource(model_frame, (src['ra'], src['dec']), observation, thresh=0.0, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) else: new_source = scarlet.source.MultiExtendedSource(model_frame, (src['ra'], src['dec']), observation, K=2, # Two components thresh=0.01, shifting=False) sources.append(new_source) # Visualize our data and mask and source if not os.path.isdir('./Figures'): os.mkdir('./Figures/') fig = kz.display.display_scarlet_sources( data, sources, show_ind=None, stretch=1, Q=1, minimum=-0.3, show_mark=True, scale_bar_length=10, add_text=f'{prefix}-{index}') plt.savefig(f'./Figures/{prefix}-{index:04d}-img.png', bbox_inches='tight') # Star fitting! start = time.time() blend = scarlet.Blend(sources, observation) try: blend.fit(150, 1e-4) with open(f'./Models/{prefix}-{index:04d}-trained-model.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': 1e-4}], fp) fp.close() last_loss = blend.loss[-1] print( f'Succeed for e_rel = 1e-4 with {len(blend.loss)} iterations! Try higher accuracy!') for i, e_rel in enumerate([5e-4, 1e-5, 5e-5, 1e-6]): blend.fit(150, e_rel) if len(blend.loss) > 50: # must have more than 50 iterations recent_loss = np.mean(blend.loss[-10:]) min_loss = np.min(blend.loss[:-10]) if recent_loss < min_loss: print( f'Succeed for e_rel = {e_rel} with {len(blend.loss)} iterations! Try higher accuracy!') with open(f'./Models/{prefix}-{index:04d}-trained-model.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': e_rel}], fp) fp.close() elif abs((recent_loss - min_loss) / min_loss) < 0.02: if recent_loss < last_loss: # better than the saved model print( f'I am okay with relative loss difference = {abs((recent_loss - min_loss) / min_loss)}. Fitting stopped.') with open(f'./Models/{prefix}-{index:04d}-trained-model.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': e_rel}], fp) fp.close() break else: print( f'Cannot achieve a global optimization with e_rel = {e_rel}.') print("Scarlet ran for {1} iterations to logL = {2}".format( e_rel, len(blend.loss), -blend.loss[-1])) end = time.time() print(f'Elapsed time for fitting: {end - start} s') with open(f"./Models/{prefix}-{index:04d}-trained-model.pkl", "rb") as fp: blend = pickle.load(fp)[0] fp.close() fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-fitting.png', bbox_inches='tight') return blend except Exception as e: print(e) return blend def fitting_less_comp(lsbg, hsc_dr, cutout_halfsize=1.0, prefix='LSBG', large_away_factor=3.0, compact_away_factor=0.4): clear_output() from kuaizi.utils import padding_PSF kz.utils.set_env(project='HSC', name='HSC_LSBG') # kz.utils.set_matplotlib(usetex=False, fontsize=15) index = lsbg['Seq'] lsbg_coord = SkyCoord(ra=lsbg['RAJ2000'], dec=lsbg['DEJ2000'], unit='deg') if not os.path.isdir('./Images'): os.mkdir('./Images') if not os.path.isdir('./PSFs'): os.mkdir('./PSFs') size_ang = cutout_halfsize * u.arcmin channels = 'griz' cutout = hsc_cutout( lsbg_coord, cutout_size=size_ang, filters=channels, mask=True, variance=True, archive=hsc_dr, use_saved=True, output_dir='./Images/', prefix=f'{prefix}_{index:04d}_img', save_output=True) psf_list = hsc_psf( lsbg_coord, centered=True, filters=channels, img_type='coadd', verbose=True, archive=hsc_dr, save_output=True, use_saved=True, prefix=f'{prefix}_{index:04d}_psf', output_dir='./PSFs/') channels_list = list(channels) # Reconstructure data images = np.array([hdu[1].data for hdu in cutout]) w = wcs.WCS(cutout[0][1].header) # note: all bands share the same WCS here filters = channels_list weights = 1 / np.array([hdu[3].data for hdu in cutout]) psf_pad = padding_PSF(psf_list) # Padding PSF cutouts from HSC psfs = scarlet.ImagePSF(np.array(psf_pad)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) _, msk_star = kz.utils.gaia_star_mask( # Generate a mask for GAIA bright stars data.images.mean(axis=0), # averaged image w, pixel_scale=HSC_pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=0.6) # This vanilla detection with very low sigma finds out where is the central object and its footprint obj_cat_ori, segmap_ori, bg_rms = kz.detection.makeCatalog( [data], mask=msk_star, lvl=1.2, method='vanilla', convolve=False, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.08, sky_subtract=True) catalog_c = SkyCoord(obj_cat_ori['ra'], obj_cat_ori['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx = obj_cat_ori[np.argsort(dist)[0]]['index'] cen_obj = obj_cat_ori[cen_indx] # print(f'# Central object is #{cen_indx}.') # Better position for cen_obj x, y, _ = sep.winpos(data.images.mean( axis=0), cen_obj['x'], cen_obj['y'], 6) ra, dec = data.wcs.wcs_pix2world(x, y, 0) cen_obj['x'] = x cen_obj['y'] = y cen_obj['ra'] = ra cen_obj['dec'] = dec # This detection (after blurring the original images) finds out what is the central object and its (estimated) size obj_cat, segmap_conv, bg_rms = kz.detection.makeCatalog( [data], lvl=8, method='wavelet', convolve=False, wavelet_lvl=5, low_freq_lvl=3, high_freq_lvl=0, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.01, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_conv = obj_cat_ori[np.argsort(dist)[0]]['index'] # This step masks out HIGH FREQUENCY sources after wavelet transformation obj_cat, segmap, bg_rms = kz.detection.makeCatalog([data], mask=msk_star, lvl=2.5, method='wavelet', high_freq_lvl=3, wavelet_lvl=4, match_gaia=False, show_fig=True, visual_gaia=False, b=32, f=3, pixel_scale=HSC_pixel_scale, minarea=5, deblend_nthresh=30, deblend_cont=0.05, sky_subtract=True) # the footprint of central object: an ellipse with 4 * a and 4 * b footprint = np.zeros_like(segmap, dtype=bool) sep.mask_ellipse(footprint, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=4.0) inside_flag = [footprint[item] for item in list( zip(obj_cat['y'].astype(int), obj_cat['x'].astype(int)))] for ind in np.where(inside_flag)[0]: # we do not mask compact sources that are nearby to the center of target galaxy segmap[segmap == ind + 1] = 0 obj_cat_cpct = obj_cat[inside_flag] # catalog of compact sources smooth_radius = 2 gaussian_threshold = 0.03 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask` only masks compact sources seg_mask = (mask_conv >= gaussian_threshold) # This step masks out bright and large contamination, which is not well-masked in previous step obj_cat, segmap, bg_rms = kz.detection.makeCatalog( [data], lvl=10, # relative agressive threshold method='vanilla', match_gaia=False, show_fig=True, visual_gaia=False, b=40, f=3, pixel_scale=0.168, minarea=20, # only want large things deblend_nthresh=30, deblend_cont=0.001, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) arr = np.zeros_like(segmap).astype('uint8') sep.mask_ellipse( arr, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=large_away_factor) # don't mask the target galaxy too much for ind, obj in enumerate(obj_cat): if arr[int(obj['y']), int(obj['x'])] == 1: segmap[segmap == ind + 1] = 0 smooth_radius = 5 gaussian_threshold = 0.01 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask_large` masks large bright sources seg_mask_large = (mask_conv >= gaussian_threshold) # Set weights of masked pixels to zero for layer in data.weights: layer[msk_star.astype(bool)] = 0 layer[seg_mask.astype(bool)] = 0 layer[seg_mask_large.astype(bool)] = 0 # Remove objects that are masked from the compact obj catalog catalog_c = SkyCoord(obj_cat_cpct['ra'], obj_cat_cpct['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) obj_cat_cpct.remove_rows(np.where(dist < 2 * u.arcsec)[0]) inside_flag = [ seg_mask_large[item] for item in list( zip(obj_cat_cpct['y'].astype(int), obj_cat_cpct['x'].astype(int))) ] obj_cat_cpct.remove_rows(np.where(inside_flag)[0]) # Construct `scarlet` frames and observation from functools import partial model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(filters)) model_frame = scarlet.Frame( data.images.shape, wcs=w, psfs=model_psf, channels=filters) observation = scarlet.Observation( data.images, wcs=data.wcs, psfs=data.psfs, weights=data.weights, channels=filters) observation = observation.match(model_frame) # Add sources from scarlet.initialization import build_initialization_coadd # Filtered coadd removes noise! Very useful for faint objects (but slow) coadd, bg_cutoff = build_initialization_coadd( observation, filtered_coadd=True) coadd[(seg_mask_large + seg_mask + msk_star.astype(bool))] = 0.0 sources = [] src = obj_cat_ori[cen_indx] if HSC_zeropoint - 2.5 * np.log10(src['flux']) > 26.: # If too faint, single component new_source = scarlet.source.SingleExtendedSource(model_frame, (src['ra'], src['dec']), observation, thresh=0.001, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) else: new_source = scarlet.source.MultiExtendedSource(model_frame, (src['ra'], src['dec']), observation, K=2, # Two components thresh=0.01, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) sources.append(new_source) for k, src in enumerate(obj_cat_cpct): # compact sources if src['fwhm_custom'] < 5: # src['b'] / src['a'] > 0.9 and new_source = scarlet.source.PointSource( model_frame, (src['ra'], src['dec']), observation) else: try: new_source = scarlet.source.SingleExtendedSource( model_frame, (src['ra'], src['dec']), observation, coadd=coadd, coadd_rms=bg_cutoff) except: new_source = scarlet.source.SingleExtendedSource( model_frame, (src['ra'], src['dec']), observation) sources.append(new_source) # Visualize our data and mask and source if not os.path.isdir('./Figures'): os.mkdir('./Figures/') fig = kz.display.display_scarlet_sources( data, sources, show_ind=None, stretch=1, Q=1, minimum=-0.3, show_mark=True, scale_bar_length=10, add_text=f'{prefix}-{index}') plt.savefig( f'./Figures/{prefix}-{index:04d}-img-less.png', bbox_inches='tight') # Star fitting! start = time.time() blend = scarlet.Blend(sources, observation) fig = kz.display.display_scarlet_model( blend, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=True, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-init-less.png', bbox_inches='tight') try: blend.fit(150, 1e-4) with open(f'./Models/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': 1e-4, 'loss': blend.loss[-1]}], fp) fp.close() last_loss = blend.loss[-1] print( f'Succeed for e_rel = 1e-4 with {len(blend.loss)} iterations! Try higher accuracy!') for i, e_rel in enumerate([5e-4, 1e-5, 5e-5, 1e-6]): blend.fit(150, e_rel) if len(blend.loss) > 50: # must have more than 50 iterations recent_loss = np.mean(blend.loss[-10:]) min_loss = np.min(blend.loss[:-10]) if recent_loss < min_loss: print( f'Succeed for e_rel = {e_rel} with {len(blend.loss)} iterations! Try higher accuracy!') with open(f'./Models/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() elif abs((recent_loss - min_loss) / min_loss) < 0.02: if recent_loss < last_loss: # better than the saved model print( f'I am okay with relative loss difference = {abs((recent_loss - min_loss) / min_loss)}. Fitting stopped.') with open(f'./Models/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() break else: print( f'Cannot achieve a global optimization with e_rel = {e_rel}.') print("Scarlet ran for {1} iterations to logL = {2}".format( e_rel, len(blend.loss), -blend.loss[-1])) end = time.time() print(f'Elapsed time for fitting: {end - start} s') # with open(f"./Models/{prefix}-{index:04d}-trained-model.pkl", "rb") as fp: # blend = pickle.load(fp)[0] # fp.close() # Find out what compose a galaxy if len(blend.sources) > 1: mag_mat = np.array( [-2.5 * np.log10(kz.measure.flux(src)) + 27 for src in sources]) # g - r, g - i, g - z color_mat = (- mag_mat + mag_mat[:, 0][:, np.newaxis])[:, 1:] color_dist = np.linalg.norm( color_mat - color_mat[0], axis=1) / np.linalg.norm(color_mat[0]) # np.argsort(color_dist)[:] # sed_ind = np.where(color_dist < 0.2)[0] dist = np.array([ np.linalg.norm( src.center - blend.sources[0].center) * HSC_pixel_scale for src in np.array(blend.sources)[sed_ind] ]) dist_flag = ( dist < 3 * np.sqrt(cen_obj['a'] * cen_obj['b']) * HSC_pixel_scale) point_flag = np.array([ isinstance(src, scarlet.source.PointSource) for src in np.array(blend.sources)[sed_ind] ]) near_cen_flag = [ (segmap_conv == cen_indx_conv + 1)[int(src.center[1]), int(src.center[0])] for src in np.array(blend.sources)[sed_ind] ] sed_ind = sed_ind[(~point_flag) & near_cen_flag] if not 0 in sed_ind: # the central source must be included. sed_ind = np.array(list(set(sed_ind).union({0}))) else: sed_ind = np.array([0]) print(f'Components {sed_ind} are considered as the target galaxy.') with open(f'./Models/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}, sed_ind], fp) fp.close() fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-fitting-less.png', bbox_inches='tight') fig = kz.display.display_scarlet_model( blend, show_ind=sed_ind, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-zoomin-less.png', bbox_inches='tight') return blend except Exception as e: print(e) return blend def fitting_single_comp(lsbg, hsc_dr, cutout_halfsize=1.0, prefix='LSBG', large_away_factor=3.0, compact_away_factor=0.4): clear_output() from kuaizi.utils import padding_PSF kz.utils.set_env(project='HSC', name='HSC_LSBG') # kz.utils.set_matplotlib(usetex=False, fontsize=15) index = lsbg['Seq'] lsbg_coord = SkyCoord(ra=lsbg['RAJ2000'], dec=lsbg['DEJ2000'], unit='deg') if not os.path.isdir('./Images'): os.mkdir('./Images') if not os.path.isdir('./PSFs'): os.mkdir('./PSFs') size_ang = cutout_halfsize * u.arcmin channels = 'griz' cutout = hsc_cutout( lsbg_coord, cutout_size=size_ang, filters=channels, mask=True, variance=True, archive=hsc_dr, use_saved=True, output_dir='./Images/', prefix=f'{prefix}_{index:04d}_img', save_output=True) psf_list = hsc_psf( lsbg_coord, centered=True, filters=channels, img_type='coadd', verbose=True, archive=hsc_dr, save_output=True, use_saved=True, prefix=f'{prefix}_{index:04d}_psf', output_dir='./PSFs/') channels_list = list(channels) # Reconstructure data images = np.array([hdu[1].data for hdu in cutout]) w = wcs.WCS(cutout[0][1].header) # note: all bands share the same WCS here filters = channels_list weights = 1 / np.array([hdu[3].data for hdu in cutout]) psf_pad = padding_PSF(psf_list) # Padding PSF cutouts from HSC psfs = scarlet.ImagePSF(np.array(psf_pad)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) _, msk_star = kz.utils.gaia_star_mask( # Generate a mask for GAIA bright stars data.images.mean(axis=0), # averaged image w, pixel_scale=HSC_pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=0.6) # This vanilla detection with very low sigma finds out where is the central object and its footprint obj_cat_ori, segmap_ori, bg_rms = kz.detection.makeCatalog( [data], lvl=1.2, method='vanilla', convolve=False, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.08, sky_subtract=True) catalog_c = SkyCoord(obj_cat_ori['ra'], obj_cat_ori['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx = obj_cat_ori[np.argsort(dist)[0]]['index'] cen_obj = obj_cat_ori[cen_indx] # print(f'# Central object is #{cen_indx}.') # Better position for cen_obj x, y, _ = sep.winpos(data.images.mean( axis=0), cen_obj['x'], cen_obj['y'], 6) ra, dec = data.wcs.wcs_pix2world(x, y, 0) cen_obj['x'] = x cen_obj['y'] = y cen_obj['ra'] = ra cen_obj['dec'] = dec # This detection (after blurring the original images) finds out what is the central object and its (estimated) size obj_cat, segmap_conv, bg_rms = kz.detection.makeCatalog( [data], lvl=8, method='wavelet', convolve=False, wavelet_lvl=5, low_freq_lvl=3, high_freq_lvl=0, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.01, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_conv = obj_cat_ori[np.argsort(dist)[0]]['index'] # This step masks out HIGH FREQUENCY sources after wavelet transformation obj_cat, segmap, bg_rms = kz.detection.makeCatalog([data], mask=msk_star, lvl=2.5, method='wavelet', high_freq_lvl=3, wavelet_lvl=4, match_gaia=False, show_fig=True, visual_gaia=False, b=32, f=3, pixel_scale=HSC_pixel_scale, minarea=5, deblend_nthresh=30, deblend_cont=0.05, sky_subtract=True) # the footprint of central object: an ellipse with 4 * a and 4 * b footprint = np.zeros_like(segmap, dtype=bool) sep.mask_ellipse(footprint, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=4.0) inside_flag = [footprint[item] for item in list( zip(obj_cat['y'].astype(int), obj_cat['x'].astype(int)))] for ind in np.where(inside_flag)[0]: # we do not mask compact sources that are nearby to the center of target galaxy segmap[segmap == ind + 1] = 0 obj_cat_cpct = obj_cat[inside_flag] # catalog of compact sources smooth_radius = 2 gaussian_threshold = 0.03 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask` only masks compact sources seg_mask = (mask_conv >= gaussian_threshold) # This step masks out bright and large contamination, which is not well-masked in previous step obj_cat, segmap, bg_rms = kz.detection.makeCatalog( [data], lvl=10, # relative agressive threshold method='vanilla', match_gaia=False, show_fig=True, visual_gaia=False, b=40, f=3, pixel_scale=0.168, minarea=20, # only want large things deblend_nthresh=30, deblend_cont=0.001, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) arr = np.zeros_like(segmap).astype('uint8') sep.mask_ellipse( arr, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=large_away_factor) # don't mask the target galaxy too much for ind, obj in enumerate(obj_cat): if arr[int(obj['y']), int(obj['x'])] == 1: segmap[segmap == ind + 1] = 0 smooth_radius = 5 gaussian_threshold = 0.01 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask_large` masks large bright sources seg_mask_large = (mask_conv >= gaussian_threshold) # Set weights of masked pixels to zero for layer in data.weights: layer[msk_star.astype(bool)] = 0 layer[seg_mask.astype(bool)] = 0 layer[seg_mask_large.astype(bool)] = 0 # Remove objects that are masked from the compact obj catalog catalog_c = SkyCoord(obj_cat_cpct['ra'], obj_cat_cpct['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) obj_cat_cpct.remove_rows(np.where(dist < 2 * u.arcsec)[0]) inside_flag = [ seg_mask_large[item] for item in list( zip(obj_cat_cpct['y'].astype(int), obj_cat_cpct['x'].astype(int))) ] obj_cat_cpct.remove_rows(np.where(inside_flag)[0]) # Construct `scarlet` frames and observation from functools import partial model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(filters)) model_frame = scarlet.Frame( data.images.shape, wcs=w, psfs=model_psf, channels=filters) observation = scarlet.Observation( data.images, wcs=data.wcs, psfs=data.psfs, weights=data.weights, channels=filters) observation = observation.match(model_frame) # Add sources from scarlet.initialization import build_initialization_coadd # Filtered coadd removes noise! Very useful for faint objects (but slow) coadd, bg_cutoff = build_initialization_coadd( observation, filtered_coadd=True) coadd[(seg_mask_large + seg_mask + msk_star.astype(bool))] = 0.0 sources = [] src = obj_cat_ori[cen_indx] if HSC_zeropoint - 2.5 * np.log10(src['flux']) > 26.5: # If too faint, single component new_source = scarlet.source.SingleExtendedSource(model_frame, (src['ra'], src['dec']), observation, thresh=0.001, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) else: new_source = scarlet.source.MultiExtendedSource(model_frame, (src['ra'], src['dec']), observation, K=2, # Two components thresh=0.01, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) sources.append(new_source) # for k, src in enumerate(obj_cat_cpct): # compact sources # if src['fwhm_custom'] < 5: # src['b'] / src['a'] > 0.9 and # new_source = scarlet.source.PointSource( # model_frame, (src['ra'], src['dec']), observation) # else: # try: # new_source = scarlet.source.SingleExtendedSource( # model_frame, (src['ra'], src['dec']), observation, coadd=coadd, coadd_rms=bg_cutoff) # except: # new_source = scarlet.source.SingleExtendedSource( # model_frame, (src['ra'], src['dec']), observation) # sources.append(new_source) # Visualize our data and mask and source if not os.path.isdir('./Figures'): os.mkdir('./Figures/') fig = kz.display.display_scarlet_sources( data, sources, show_ind=None, stretch=1, Q=1, minimum=-0.3, show_mark=True, scale_bar_length=10, add_text=f'{prefix}-{index}') plt.savefig( f'./Figures/{prefix}-{index:04d}-img-sing.png', bbox_inches='tight') # Star fitting! start = time.time() blend = scarlet.Blend(sources, observation) fig = kz.display.display_scarlet_model( blend, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=True, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-init-sing.png', bbox_inches='tight') try: blend.fit(150, 1e-4) with open(f'./Models/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': 1e-4, 'loss': blend.loss[-1]}], fp) fp.close() last_loss = blend.loss[-1] print( f'Succeed for e_rel = 1e-4 with {len(blend.loss)} iterations! Try higher accuracy!') for i, e_rel in enumerate([5e-4, 1e-5, 5e-5, 1e-6]): blend.fit(150, e_rel) if len(blend.loss) > 50: # must have more than 50 iterations recent_loss = np.mean(blend.loss[-10:]) min_loss = np.min(blend.loss[:-10]) if recent_loss < min_loss: print( f'Succeed for e_rel = {e_rel} with {len(blend.loss)} iterations! Try higher accuracy!') with open(f'./Models/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() elif abs((recent_loss - min_loss) / min_loss) < 0.02: if recent_loss < last_loss: # better than the saved model print( f'I am okay with relative loss difference = {abs((recent_loss - min_loss) / min_loss)}. Fitting stopped.') with open(f'./Models/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() break else: print( f'Cannot achieve a global optimization with e_rel = {e_rel}.') print("Scarlet ran for {1} iterations to logL = {2}".format( e_rel, len(blend.loss), -blend.loss[-1])) end = time.time() print(f'Elapsed time for fitting: {end - start} s') # with open(f"./Models/{prefix}-{index:04d}-trained-model.pkl", "rb") as fp: # blend = pickle.load(fp)[0] # fp.close() # Find out what compose a galaxy # seds = np.array([np.copy(src.parameters[0]) for src in blend.sources]) # corr = np.corrcoef(seds) # sed_ind = np.argsort(corr[0, :])[::-1] # np.where(corr[0, :] > 0.99)[0]# # # dist = np.array([ # # np.linalg.norm(src.center - blend.sources[0].center) * HSC_pixel_scale # # for src in np.array(blend.sources)[sed_ind] # # ]) # # dist_flag = (dist < 3 * np.sqrt(cen_obj['a'] * cen_obj['b']) * HSC_pixel_scale) # point_flag = np.array([isinstance(src, scarlet.source.PointSource) for src in np.array(blend.sources)[sed_ind]]) # near_cen_flag = [(segmap_conv == cen_indx_conv + 1)[int(src.center[1]), int(src.center[0])] for src in np.array(blend.sources)[sed_ind]] # sed_ind = sed_ind[(~point_flag) & near_cen_flag] # & dist_flag] # if not 0 in sed_ind: # sed_ind.append(0) # the central source must be included. # print(f'Components {sed_ind} are considered as the target galaxy.') # with open(f'./Models/{prefix}-{index:04d}-trained-model.pkl', 'wb') as fp: # pickle.dump([blend, {'e_rel': e_rel}, sed_ind], fp) # fp.close() with open(f'./Models/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-fitting-sing.png', bbox_inches='tight') fig = kz.display.display_scarlet_model( blend, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-zoomin-sing.png', bbox_inches='tight') return blend except Exception as e: print(e) return blend def fitting_single_comp_mockgal(index=0, prefix='MockLSBG', large_away_factor=3.0, compact_away_factor=0.4, zp=HSC_zeropoint): clear_output() kz.utils.set_env(project='HSC', name='HSC_LSBG') index = index from kuaizi.mock import MockGal mgal = MockGal.read(f'./Models/MockGalModel/{prefix}-{index:04d}.pkl') print(f'Opening ./Models/MockGalModel/{prefix}-{index:04d}.pkl') channels = mgal.channels channels_list = list(channels) filters = channels_list lsbg_coord = SkyCoord( ra=mgal.model.info['ra'], dec=mgal.model.info['dec'], unit='deg') # Reconstructure data images = mgal.mock.images w = mgal.mock.wcs weights = 1 / mgal.mock.variances psfs = scarlet.ImagePSF(np.array(mgal.mock.psfs)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) _, msk_star = kz.utils.gaia_star_mask( # Generate a mask for GAIA bright stars data.images.mean(axis=0), # averaged image w, pixel_scale=HSC_pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=0.6) # This vanilla detection with very low sigma finds out where is the central object and its footprint obj_cat_ori, segmap_ori, bg_rms = kz.detection.makeCatalog( [data], mask=msk_star, lvl=1.2, method='vanilla', convolve=False, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.08, sky_subtract=True) catalog_c = SkyCoord(obj_cat_ori['ra'], obj_cat_ori['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx = obj_cat_ori[np.argsort(dist)[0]]['index'] cen_obj = obj_cat_ori[cen_indx] # print(f'# Central object is #{cen_indx}.') # Better position for cen_obj x, y, _ = sep.winpos(data.images.mean( axis=0), cen_obj['x'], cen_obj['y'], 6) ra, dec = data.wcs.wcs_pix2world(x, y, 0) cen_obj['x'] = x cen_obj['y'] = y cen_obj['ra'] = ra cen_obj['dec'] = dec # This detection (after blurring the original images) finds out what is the central object and its (estimated) size obj_cat, segmap_conv, bg_rms = kz.detection.makeCatalog( [data], mask=msk_star, lvl=8, method='wavelet', convolve=False, wavelet_lvl=5, low_freq_lvl=3, high_freq_lvl=0, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.01, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_conv = obj_cat_ori[np.argsort(dist)[0]]['index'] # This step masks out HIGH FREQUENCY sources after wavelet transformation obj_cat, segmap, bg_rms = kz.detection.makeCatalog([data], mask=msk_star, lvl=2.5, method='wavelet', high_freq_lvl=3, wavelet_lvl=4, match_gaia=False, show_fig=True, visual_gaia=False, b=32, f=3, pixel_scale=HSC_pixel_scale, minarea=5, deblend_nthresh=30, deblend_cont=0.05, sky_subtract=True) # the footprint of central object: an ellipse with 4 * a and 4 * b footprint = np.zeros_like(segmap, dtype=bool) sep.mask_ellipse(footprint, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=4.0) inside_flag = [footprint[item] for item in list( zip(obj_cat['y'].astype(int), obj_cat['x'].astype(int)))] for ind in np.where(inside_flag)[0]: # we do not mask compact sources that are nearby to the center of target galaxy segmap[segmap == ind + 1] = 0 obj_cat_cpct = obj_cat[inside_flag] # catalog of compact sources smooth_radius = 2 gaussian_threshold = 0.03 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask` only masks compact sources seg_mask = (mask_conv >= gaussian_threshold) # This step masks out bright and large contamination, which is not well-masked in previous step obj_cat, segmap, bg_rms = kz.detection.makeCatalog( [data], lvl=10, # relative agressive threshold method='vanilla', match_gaia=False, show_fig=True, visual_gaia=False, b=40, f=3, pixel_scale=0.168, minarea=20, # only want large things deblend_nthresh=30, deblend_cont=0.001, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) arr = np.zeros_like(segmap).astype('uint8') sep.mask_ellipse( arr, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=large_away_factor) # don't mask the target galaxy too much for ind, obj in enumerate(obj_cat): if arr[int(obj['y']), int(obj['x'])] == 1: segmap[segmap == ind + 1] = 0 smooth_radius = 5 gaussian_threshold = 0.01 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask_large` masks large bright sources seg_mask_large = (mask_conv >= gaussian_threshold) # Set weights of masked pixels to zero for layer in data.weights: layer[msk_star.astype(bool)] = 0 layer[seg_mask.astype(bool)] = 0 layer[seg_mask_large.astype(bool)] = 0 # Remove objects that are masked from the compact obj catalog catalog_c = SkyCoord(obj_cat_cpct['ra'], obj_cat_cpct['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) obj_cat_cpct.remove_rows(np.where(dist < 2 * u.arcsec)[0]) inside_flag = [ seg_mask_large[item] for item in list( zip(obj_cat_cpct['y'].astype(int), obj_cat_cpct['x'].astype(int))) ] obj_cat_cpct.remove_rows(np.where(inside_flag)[0]) # Construct `scarlet` frames and observation from functools import partial model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(filters)) model_frame = scarlet.Frame( data.images.shape, wcs=w, psfs=model_psf, channels=filters) observation = scarlet.Observation( data.images, wcs=data.wcs, psfs=data.psfs, weights=data.weights, channels=filters) observation = observation.match(model_frame) # Add sources from scarlet.initialization import build_initialization_coadd # Filtered coadd removes noise! Very useful for faint objects (but slow) coadd, bg_cutoff = build_initialization_coadd( observation, filtered_coadd=True) coadd[(seg_mask_large + seg_mask + msk_star.astype(bool))] = 0.0 sources = [] src = obj_cat_ori[cen_indx] if zp - 2.5 * np.log10(src['flux']) > 26.: # If too faint, single component new_source = scarlet.source.SingleExtendedSource(model_frame, (src['ra'], src['dec']), observation, thresh=0.001, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) else: new_source = scarlet.source.MultiExtendedSource(model_frame, (src['ra'], src['dec']), observation, K=2, # Two components thresh=0.001, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) sources.append(new_source) # Visualize our data and mask and source if not os.path.isdir('./Figures'): os.mkdir('./Figures/') fig = kz.display.display_scarlet_sources( data, sources, show_ind=None, stretch=1, Q=1, minimum=-0.3, show_mark=True, scale_bar_length=10, add_text=f'{prefix}-{index}') plt.savefig( f'./Figures/{prefix}-{index:04d}-img-sing.png', bbox_inches='tight') # Star fitting! start = time.time() blend = scarlet.Blend(sources, observation) fig = kz.display.display_scarlet_model( blend, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=True, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-init-sing.png', bbox_inches='tight') try: blend.fit(150, 1e-4) with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': 1e-4, 'loss': blend.loss[-1]}], fp) fp.close() last_loss = blend.loss[-1] print( f'Succeed for e_rel = 1e-4 with {len(blend.loss)} iterations! Try higher accuracy!') for i, e_rel in enumerate([5e-4, 1e-5, 5e-5, 1e-6]): blend.fit(150, e_rel) if len(blend.loss) > 50: # must have more than 50 iterations recent_loss = np.mean(blend.loss[-10:]) min_loss = np.min(blend.loss[:-10]) if recent_loss < min_loss: print( f'Succeed for e_rel = {e_rel} with {len(blend.loss)} iterations! Try higher accuracy!') with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() elif abs((recent_loss - min_loss) / min_loss) < 0.02: if recent_loss < last_loss: # better than the saved model print( f'I am okay with relative loss difference = {abs((recent_loss - min_loss) / min_loss)}. Fitting stopped.') with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() break else: print( f'Cannot achieve a global optimization with e_rel = {e_rel}.') print("Scarlet ran for {1} iterations to logL = {2}".format( e_rel, len(blend.loss), -blend.loss[-1])) end = time.time() print(f'Elapsed time for fitting: {end - start} s') with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-sing.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-fitting-sing.png', bbox_inches='tight') fig = kz.display.display_scarlet_model( blend, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-zoomin-sing.png', bbox_inches='tight') return blend except Exception as e: print(e) return blend def fitting_less_comp_mockgal(index=0, prefix='MockLSBG', large_away_factor=3.0, compact_away_factor=0.4, zp=HSC_zeropoint): clear_output() kz.utils.set_env(project='HSC', name='HSC_LSBG') index = index from kuaizi.mock import MockGal mgal = MockGal.read(f'./Models/MockGalModel/{prefix}-{index:04d}.pkl') print(f'Opening ./Models/MockGalModel/{prefix}-{index:04d}.pkl') channels = mgal.channels channels_list = list(channels) filters = channels_list lsbg_coord = SkyCoord( ra=mgal.model.info['ra'], dec=mgal.model.info['dec'], unit='deg') # Reconstructure data images = mgal.mock.images w = mgal.mock.wcs weights = 1 / mgal.mock.variances psfs = scarlet.ImagePSF(np.array(mgal.mock.psfs)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) _, msk_star = kz.utils.gaia_star_mask( # Generate a mask for GAIA bright stars data.images.mean(axis=0), # averaged image w, pixel_scale=HSC_pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=0.6) # This vanilla detection with very low sigma finds out where is the central object and its footprint obj_cat_ori, segmap_ori, bg_rms = kz.detection.makeCatalog( [data], mask=msk_star, lvl=1.2, method='vanilla', convolve=False, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.08, sky_subtract=True) catalog_c = SkyCoord(obj_cat_ori['ra'], obj_cat_ori['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx = obj_cat_ori[np.argsort(dist)[0]]['index'] cen_obj = obj_cat_ori[cen_indx] # print(f'# Central object is #{cen_indx}.') # Better position for cen_obj x, y, _ = sep.winpos(data.images.mean( axis=0), cen_obj['x'], cen_obj['y'], 6) # x, y = cen_obj['x'], cen_obj['y'] ra, dec = data.wcs.wcs_pix2world(x, y, 0) cen_obj['x'] = x cen_obj['y'] = y cen_obj['ra'] = ra cen_obj['dec'] = dec # This detection (after blurring the original images) finds out what is the central object and its (estimated) size obj_cat, segmap_conv, bg_rms = kz.detection.makeCatalog( [data], mask=msk_star, lvl=8, method='wavelet', convolve=False, wavelet_lvl=5, low_freq_lvl=3, high_freq_lvl=0, match_gaia=False, show_fig=True, visual_gaia=False, b=128, f=3, pixel_scale=0.168, minarea=20, deblend_nthresh=30, deblend_cont=0.01, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_conv = obj_cat_ori[np.argsort(dist)[0]]['index'] # This step masks out HIGH FREQUENCY sources after wavelet transformation obj_cat, segmap, bg_rms = kz.detection.makeCatalog([data], mask=msk_star, lvl=2.5, method='wavelet', high_freq_lvl=3, wavelet_lvl=4, match_gaia=False, show_fig=True, visual_gaia=False, b=32, f=3, pixel_scale=HSC_pixel_scale, minarea=5, deblend_nthresh=30, deblend_cont=0.05, sky_subtract=True) # the footprint of central object: an ellipse with 4 * a and 4 * b footprint = np.zeros_like(segmap, dtype=bool) sep.mask_ellipse(footprint, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=4.0) inside_flag = [footprint[item] for item in list( zip(obj_cat['y'].astype(int), obj_cat['x'].astype(int)))] for ind in np.where(inside_flag)[0]: # we do not mask compact sources that are nearby to the center of target galaxy segmap[segmap == ind + 1] = 0 obj_cat_cpct = obj_cat[inside_flag] # catalog of compact sources smooth_radius = 2 gaussian_threshold = 0.03 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask` only masks compact sources seg_mask = (mask_conv >= gaussian_threshold) # This step masks out bright and large contamination, which is not well-masked in previous step obj_cat, segmap, bg_rms = kz.detection.makeCatalog( [data], lvl=10, # relative agressive threshold method='vanilla', match_gaia=False, show_fig=True, visual_gaia=False, b=40, f=3, pixel_scale=0.168, minarea=20, # only want large things deblend_nthresh=30, deblend_cont=0.001, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) arr = np.zeros_like(segmap).astype('uint8') sep.mask_ellipse( arr, cen_obj['x'], cen_obj['y'], cen_obj['a'], cen_obj['b'], cen_obj['theta'], r=large_away_factor) # don't mask the target galaxy too much for ind, obj in enumerate(obj_cat): if arr[int(obj['y']), int(obj['x'])] == 1: segmap[segmap == ind + 1] = 0 smooth_radius = 5 gaussian_threshold = 0.01 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask_large` masks large bright sources seg_mask_large = (mask_conv >= gaussian_threshold) # Set weights of masked pixels to zero for layer in data.weights: layer[msk_star.astype(bool)] = 0 layer[seg_mask.astype(bool)] = 0 layer[seg_mask_large.astype(bool)] = 0 # Remove objects that are masked from the compact obj catalog catalog_c = SkyCoord(obj_cat_cpct['ra'], obj_cat_cpct['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) obj_cat_cpct.remove_rows(np.where(dist < 2 * u.arcsec)[0]) inside_flag = [ seg_mask_large[item] for item in list( zip(obj_cat_cpct['y'].astype(int), obj_cat_cpct['x'].astype(int))) ] obj_cat_cpct.remove_rows(np.where(inside_flag)[0]) # Construct `scarlet` frames and observation from functools import partial model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(filters)) model_frame = scarlet.Frame( data.images.shape, wcs=w, psfs=model_psf, channels=filters) observation = scarlet.Observation( data.images, wcs=data.wcs, psfs=data.psfs, weights=data.weights, channels=filters) observation = observation.match(model_frame) # Add sources from scarlet.initialization import build_initialization_coadd # Filtered coadd removes noise! Very useful for faint objects (but slow) coadd, bg_cutoff = build_initialization_coadd( observation, filtered_coadd=True) coadd[(seg_mask_large + seg_mask + msk_star.astype(bool))] = 0.0 sources = [] src = obj_cat_ori[cen_indx] if HSC_zeropoint - 2.5 * np.log10(src['flux']) > 26.: # If too faint, single component new_source = scarlet.source.SingleExtendedSource(model_frame, (src['ra'], src['dec']), observation, thresh=0.005, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) else: new_source = scarlet.source.MultiExtendedSource(model_frame, (src['ra'], src['dec']), observation, K=2, # Two components thresh=0.01, shifting=False, coadd=coadd, coadd_rms=bg_cutoff) sources.append(new_source) for k, src in enumerate(obj_cat_cpct): # compact sources if src['fwhm_custom'] < 5: # src['b'] / src['a'] > 0.9 and new_source = scarlet.source.PointSource( model_frame, (src['ra'], src['dec']), observation) else: try: new_source = scarlet.source.SingleExtendedSource( model_frame, (src['ra'], src['dec']), observation, coadd=coadd, coadd_rms=bg_cutoff) except: new_source = scarlet.source.SingleExtendedSource( model_frame, (src['ra'], src['dec']), observation) sources.append(new_source) # Visualize our data and mask and source if not os.path.isdir('./Figures'): os.mkdir('./Figures/') fig = kz.display.display_scarlet_sources( data, sources, show_ind=None, stretch=1, Q=1, minimum=-0.3, show_mark=True, scale_bar_length=10, add_text=f'{prefix}-{index}') plt.savefig( f'./Figures/{prefix}-{index:04d}-img-less.png', bbox_inches='tight') # Star fitting! start = time.time() blend = scarlet.Blend(sources, observation) fig = kz.display.display_scarlet_model( blend, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=True, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-init-less.png', bbox_inches='tight') try: blend.fit(150, 1e-4) with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump([blend, {'e_rel': 1e-4, 'loss': blend.loss[-1]}], fp) fp.close() last_loss = blend.loss[-1] print( f'Succeed for e_rel = 1e-4 with {len(blend.loss)} iterations! Try higher accuracy!') for i, e_rel in enumerate([5e-4, 1e-5, 5e-5, 1e-6]): blend.fit(150, e_rel) if len(blend.loss) > 50: # must have more than 50 iterations recent_loss = np.mean(blend.loss[-10:]) min_loss = np.min(blend.loss[:-10]) if recent_loss < min_loss: print( f'Succeed for e_rel = {e_rel} with {len(blend.loss)} iterations! Try higher accuracy!') with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() elif abs((recent_loss - min_loss) / min_loss) < 0.02: if recent_loss < last_loss: # better than the saved model print( f'I am okay with relative loss difference = {abs((recent_loss - min_loss) / min_loss)}. Fitting stopped.') with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() break else: print( f'Cannot achieve a global optimization with e_rel = {e_rel}.') print("Scarlet ran for {1} iterations to logL = {2}".format( e_rel, len(blend.loss), -blend.loss[-1])) end = time.time() print(f'Elapsed time for fitting: {end - start} s') # with open(f"./Models/{prefix}-{index:04d}-trained-model.pkl", "rb") as fp: # blend = pickle.load(fp)[0] # fp.close() # Find out what compose a galaxy if len(blend.sources) > 1: mag_mat = np.array( [-2.5 * np.log10(kz.measure.flux(src)) + 27 for src in sources]) # g - r, g - i, g - z color_mat = (- mag_mat + mag_mat[:, 0][:, np.newaxis])[:, 1:] color_dist = np.linalg.norm( color_mat - color_mat[0], axis=1) / np.linalg.norm(color_mat[0]) # np.argsort(color_dist)[:] # sed_ind = np.where(color_dist < 0.2)[0] dist = np.array([ np.linalg.norm( src.center - blend.sources[0].center) * HSC_pixel_scale for src in np.array(blend.sources)[sed_ind] ]) dist_flag = ( dist < 3 * np.sqrt(cen_obj['a'] * cen_obj['b']) * HSC_pixel_scale) point_flag = np.array([ isinstance(src, scarlet.source.PointSource) for src in np.array(blend.sources)[sed_ind] ]) near_cen_flag = [ (segmap_conv == cen_indx_conv + 1)[int(src.center[1]), int(src.center[0])] for src in np.array(blend.sources)[sed_ind] ] sed_ind = sed_ind[(~point_flag) & near_cen_flag] if not 0 in sed_ind: # the central source must be included. sed_ind = np.array(list(set(sed_ind).union({0}))) else: sed_ind = np.array([0]) print(f'Components {sed_ind} are considered as the target galaxy.') with open(f'./Models/MockGalScarlet/{prefix}-{index:04d}-trained-model-less.pkl', 'wb') as fp: pickle.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}, sed_ind], fp) fp.close() fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-fitting-less.png', bbox_inches='tight') fig = kz.display.display_scarlet_model( blend, show_ind=sed_ind, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( f'./Figures/{prefix}-{index:04d}-zoomin-less.png', bbox_inches='tight') return blend except Exception as e: print(e) return blend def _fitting_wavelet(data, coord, pixel_scale=HSC_pixel_scale, zp=HSC_zeropoint, starlet_thresh=0.8, prefix='mockgal', index=0, model_dir='./Model', figure_dir='./Figure', show_figure=True, tigress=False): ''' This is a fitting function for internal use. It fits the galaxy using Starlet model, and apply a mask after fitting. ''' from scarlet import Starlet lsbg_coord = coord # 2 whitespaces before "-", i.e., 4 whitespaces before word print(' - Detect sources and make mask') print(' Query GAIA stars...') gaia_cat, msk_star = kz.utils.gaia_star_mask( # Generate a mask for GAIA bright stars data.images.mean(axis=0), # averaged image data.wcs, pixel_scale=pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=1.5, tigress=tigress) # This vanilla detection with very low sigma finds out where is the central object and its footprint obj_cat_ori, segmap_ori, bg_rms = kz.detection.makeCatalog( [data], lvl=1.2, mask=msk_star, method='vanilla', convolve=False, match_gaia=False, show_fig=show_figure, visual_gaia=False, b=128, f=3, pixel_scale=pixel_scale, minarea=20, deblend_nthresh=48, deblend_cont=0.07, # 0.07, I changed it to 0.1 sky_subtract=True) catalog_c = SkyCoord(obj_cat_ori['ra'], obj_cat_ori['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_ori = obj_cat_ori[np.argsort(dist)[0]]['index'] cen_obj = obj_cat_ori[cen_indx_ori] # Better position for cen_obj x, y, _ = sep.winpos(data.images.mean( axis=0), cen_obj['x'], cen_obj['y'], 6) ra, dec = data.wcs.wcs_pix2world(x, y, 0) cen_obj['x'] = x cen_obj['y'] = y cen_obj['ra'] = ra cen_obj['dec'] = dec # We roughly guess the box size of the Starlet model model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(data.channels)) model_frame = scarlet.Frame( data.images.shape, wcs=data.wcs, psf=model_psf, channels=list(data.channels)) observation = scarlet.Observation( data.images, wcs=data.wcs, psf=data.psfs, weights=data.weights, channels=list(data.channels)) observation = observation.match(model_frame) cen_obj = obj_cat_ori[cen_indx_ori] starlet_source = scarlet.StarletSource(model_frame, (cen_obj['ra'], cen_obj['dec']), observation, thresh=0.001, min_grad=-0.3, # the initial guess of box size is as large as possible starlet_thresh=5e-3) starlet_extent = kz.display.get_extent( starlet_source.bbox) # [x1, x2, y1, y2] # extra enlarge starlet_extent[0] -= 5 starlet_extent[2] -= 5 starlet_extent[1] += 5 starlet_extent[3] += 5 # Show the Starlet initial box fig = display_single(data.images.mean(axis=0)) from matplotlib.patches import Rectangle box_kwargs = {"facecolor": "none", "edgecolor": "w", "lw": 0.5} rect = Rectangle( (starlet_extent[0], starlet_extent[2]), starlet_extent[1] - starlet_extent[0], starlet_extent[3] - starlet_extent[2], **box_kwargs ) ax = plt.gca() ax.add_patch(rect) plt.close() if gaia_cat is not None: star_flag = [(item[0] > starlet_extent[0]) & (item[0] < starlet_extent[1]) & (item[1] > starlet_extent[2]) & ( item[1] < starlet_extent[3]) for item in np.asarray( data.wcs.wcs_world2pix(gaia_cat['ra'], gaia_cat['dec'], 0), dtype=int).T] # "star_cat" is a catalog for GAIA stars which fall in the Starlet box star_cat = gaia_cat[star_flag] _, msk_star = kz.utils.gaia_star_mask( # Generate GAIA mask only for stars outside of the Starlet box data.images.mean(axis=0), data.wcs, gaia_stars=gaia_cat[~np.array(star_flag)], pixel_scale=pixel_scale, gaia_bright=19.5, mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=0.6, tigress=tigress) else: star_cat = [] # This step masks out high frequency sources by doing wavelet transformation obj_cat, segmap_highfreq, bg_rms = kz.detection.makeCatalog([data], mask=msk_star, lvl=2., # 2.5 method='wavelet', high_freq_lvl=2, # 3 wavelet_lvl=4, match_gaia=False, show_fig=show_figure, visual_gaia=False, b=24, f=3, pixel_scale=pixel_scale, minarea=3, deblend_nthresh=30, deblend_cont=0.03, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_highfreq = obj_cat[np.argsort(dist)[0]]['index'] # Don't mask out objects that fall in the segmap of the central object and the Starlet box segmap = segmap_highfreq.copy() # overlap_flag is for objects which fall in the footprint of central galaxy in the fist SEP detection overlap_flag = [(segmap_ori == (cen_indx_ori + 1))[item] for item in list(zip(obj_cat['y'].astype(int), obj_cat['x'].astype(int)))] # box_flat is for objects which fall in the initial Starlet box box_flag = np.unique( segmap[starlet_extent[2]:starlet_extent[3], starlet_extent[0]:starlet_extent[1]]) - 1 box_flag = np.delete(np.sort(box_flag), 0) overlap_flag = np.array(overlap_flag) overlap_flag[box_flag] = True obj_cat_cpct = obj_cat[overlap_flag] # Remove the source if it is the central galaxy if dist[cen_indx_highfreq] < 1 * u.arcsec: obj_cat_cpct.remove_rows( np.where(obj_cat_cpct['index'] == cen_indx_highfreq)[0]) for ind in np.where(overlap_flag)[0]: segmap[segmap == ind + 1] = 0 smooth_radius = 2 gaussian_threshold = 0.03 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask` only masks compact sources seg_mask = (mask_conv >= gaussian_threshold) # This step masks out bright and large contamination, which is not well-masked in previous step obj_cat, segmap_big, bg_rms = kz.detection.makeCatalog( [data], lvl=4.5, # relative agressive threshold method='vanilla', match_gaia=False, show_fig=show_figure, visual_gaia=False, b=45, f=3, pixel_scale=pixel_scale, minarea=20, # only want large things deblend_nthresh=30, deblend_cont=0.02, sky_subtract=True) catalog_c = SkyCoord(obj_cat['ra'], obj_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) cen_indx_big = obj_cat_ori[np.argsort(dist)[0]]['index'] # mask out big objects that are NOT identified in the high_freq step segmap = segmap_big.copy() box_flag = np.unique( segmap[starlet_extent[2]:starlet_extent[3], starlet_extent[0]:starlet_extent[1]]) - 1 box_flag = np.delete(np.sort(box_flag), 0) for ind in box_flag: segmap[segmap == ind + 1] = 0 box_flag = np.delete(box_flag, np.where(box_flag == cen_indx_big)[ 0]) # dont include the central galaxy obj_cat_big = obj_cat[box_flag] smooth_radius = 4 gaussian_threshold = 0.01 mask_conv = np.copy(segmap) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) # This `seg_mask_large` masks large bright sources seg_mask_large = (mask_conv >= gaussian_threshold) # Set weights of masked pixels to zero for layer in data.weights: layer[msk_star.astype(bool)] = 0 layer[seg_mask.astype(bool)] = 0 layer[seg_mask_large.astype(bool)] = 0 # Remove compact objects that are too close to the central catalog_c = SkyCoord(obj_cat_cpct['ra'], obj_cat_cpct['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) obj_cat_cpct.remove_rows(np.where(dist < 3 * u.arcsec)[0]) # Remove objects that are already masked! inside_flag = [ seg_mask_large[item] for item in list( zip(obj_cat_cpct['y'].astype(int), obj_cat_cpct['x'].astype(int))) ] obj_cat_cpct.remove_rows(np.where(inside_flag)[0]) # Remove big objects that are toooo near to the target catalog_c = SkyCoord(obj_cat_big['ra'], obj_cat_big['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) obj_cat_big.remove_rows(np.where(dist < 3 * u.arcsec)[0]) # Remove objects that are already masked! inside_flag = [ (data.weights[0] == 0)[item] for item in list( zip(obj_cat_big['y'].astype(int), obj_cat_big['x'].astype(int))) ] obj_cat_big.remove_rows(np.where(inside_flag)[0]) # Construct `scarlet` frames and observation from functools import partial model_psf = scarlet.GaussianPSF(sigma=(0.8,) * len(data.channels)) model_frame = scarlet.Frame( data.images.shape, wcs=data.wcs, psf=model_psf, channels=list(data.channels)) observation = scarlet.Observation( data.images, wcs=data.wcs, psf=data.psfs, weights=data.weights, channels=list(data.channels)) observation = observation.match(model_frame) sources = [] # Add central Starlet source src = obj_cat_ori[cen_indx_ori] # Find a better box, not too large, not too small for min_grad in np.arange(-0.3, 0.4, 0.05): starlet_source = scarlet.StarletSource( model_frame, (src['ra'], src['dec']), observation, thresh=0.001, min_grad=min_grad, starlet_thresh=starlet_thresh) starlet_extent = kz.display.get_extent(starlet_source.bbox) segbox = segmap_ori[starlet_extent[2]:starlet_extent[3], starlet_extent[0]:starlet_extent[1]] contam_ratio = 1 - \ np.sum((segbox == 0) | (segbox == cen_indx_ori + 1)) / \ np.sum(np.ones_like(segbox)) if contam_ratio <= 0.15: break print(f' - Wavelet modeling with the following hyperparameters:') print( f' min_grad = {min_grad:.2f}, starlet_thresh = {starlet_thresh:.2f} (contam_ratio = {contam_ratio:.2f}).' ) starlet_source.center = ( np.array(starlet_source.bbox.shape) // 2 + starlet_source.bbox.origin)[1:] sources.append(starlet_source) # Only model "real compact" sources if len(obj_cat_big) > 0: # remove intersection between cpct and big objects cpct_coor = SkyCoord( ra=np.array(obj_cat_cpct['ra']) * u.degree, dec=np.array(obj_cat_cpct['dec']) * u.degree) big = SkyCoord(ra=obj_cat_big['ra'] * u.degree, dec=obj_cat_big['dec'] * u.degree) tempid, sep2d, _ = match_coordinates_sky(big, cpct_coor) cpct = obj_cat_cpct[np.setdiff1d( np.arange(len(obj_cat_cpct)), tempid[np.where(sep2d < 1 * u.arcsec)])] else: cpct = obj_cat_cpct if len(star_cat) > 0: # remove intersection between cpct and stars star = SkyCoord(ra=star_cat['ra'], dec=star_cat['dec'], unit='deg') cpct_coor = SkyCoord( ra=np.array(cpct['ra']) * u.degree, dec=np.array(cpct['dec']) * u.degree) tempid, sep2d, _ = match_coordinates_sky(star, cpct_coor) cpct = cpct[np.setdiff1d(np.arange(len(cpct)), tempid[np.where(sep2d < 1 * u.arcsec)])] for k, src in enumerate(cpct): if src['fwhm_custom'] < 5: new_source = scarlet.source.CompactExtendedSource( model_frame, (src['ra'], src['dec']), observation) else: new_source = scarlet.source.SingleExtendedSource( model_frame, (src['ra'], src['dec']), observation, thresh=2) sources.append(new_source) # IF GAIA stars are within the box: exclude it from the big_cat if len(obj_cat_big) > 0: if len(star_cat) > 0: star = SkyCoord(ra=star_cat['ra'], dec=star_cat['dec'], unit='deg') tempid, sep2d, _ = match_coordinates_sky(star, big) big_cat = obj_cat_big[np.setdiff1d( np.arange(len(obj_cat_big)), tempid[np.where(sep2d < 1 * u.arcsec)])] else: big_cat = obj_cat_big # [np.where(sep2d > 2 * u.arcsec)[0]] for k, src in enumerate(big_cat): if src['fwhm_custom'] > 15: new_source = scarlet.source.ExtendedSource( model_frame, (src['ra'], src['dec']), observation, K=2, shifting=True) else: # try: new_source = scarlet.source.SingleExtendedSource( model_frame, (src['ra'], src['dec']), observation, thresh=2, shifting=True) # except: # new_source = scarlet.source.SingleExtendedSource( # model_frame, (src['ra'], src['dec']), observation, coadd=coadd, coadd_rms=bg_cutoff) sources.append(new_source) if len(star_cat) > 0: for k, src in enumerate(star_cat): new_source = scarlet.source.ExtendedSource( model_frame, (src['ra'], src['dec']), observation, K=2) sources.append(new_source) # Visualize our data and mask and source if not os.path.isdir(figure_dir): os.mkdir(figure_dir) if not os.path.isdir(model_dir): os.mkdir(model_dir) fig = kz.display.display_scarlet_sources( data, sources, show_ind=None, stretch=1, Q=1, minimum=-0.3, show_mark=True, scale_bar_length=10, add_text=f'{prefix}-{index}') plt.savefig( os.path.join(figure_dir, f'{prefix}-{index:04d}-src-wavelet.png'), bbox_inches='tight') if not show_figure: plt.close() # Star fitting! start = time.time() blend = scarlet.Blend(sources, observation) fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=False, show_mask=False, show_mark=True, scale_bar=False) plt.savefig( os.path.join(figure_dir, f'{prefix}-{index:04d}-init-wavelet.png'), bbox_inches='tight') if not show_figure: plt.close() try: blend.fit(150, 1e-4) with open(os.path.join(model_dir, f'{prefix}-{index:04d}-trained-model-wavelet.df'), 'wb') as fp: dill.dump([blend, {'e_rel': 1e-4, 'loss': blend.loss[-1]}], fp) fp.close() last_loss = blend.loss[-1] print( f' Optimizaiton: Succeed for e_rel = 1e-4 with {len(blend.loss)} iterations! Try higher accuracy!') for i, e_rel in enumerate([5e-4, 1e-5, 5e-5, 1e-6]): blend.fit(150, e_rel) if len(blend.loss) > 50: # must have more than 50 iterations recent_loss = np.mean(blend.loss[-10:]) min_loss = np.min(blend.loss[:-10]) if recent_loss < min_loss: print( f' Optimizaiton: Succeed for e_rel = {e_rel} with {len(blend.loss)} iterations! Try higher accuracy!') with open(os.path.join(model_dir, f'{prefix}-{index:04d}-trained-model-wavelet.df'), 'wb') as fp: dill.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() elif abs((recent_loss - min_loss) / min_loss) < 0.02: if recent_loss < last_loss: # better than the saved model print( f' Optimizaiton: I am okay with relative loss difference = {abs((recent_loss - min_loss) / min_loss)}. Fitting stopped.') with open(os.path.join(model_dir, f'{prefix}-{index:04d}-trained-model-wavelet.df'), 'wb') as fp: dill.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1]}], fp) fp.close() break else: print( f' ! Optimizaiton: Cannot achieve a global optimization with e_rel = {e_rel}.') print(" - After {1} iterations, logL = {2}".format( e_rel, len(blend.loss), -blend.loss[-1])) end = time.time() print(f' Elapsed time for fitting: {end - start} s') # In principle, Now we don't need to find which components compose a galaxy. The central Starlet is enough! if len(blend.sources) > 1: mag_mat = np.array( [-2.5 * np.log10(kz.measure.flux(src, observation)) + 27 for src in sources]) # g - r, g - i, g - z color_mat = (- mag_mat + mag_mat[:, 0][:, np.newaxis])[:, 1:] color_dist = np.linalg.norm( color_mat - color_mat[0], axis=1) / np.linalg.norm(color_mat[0]) sed_ind = np.where(color_dist < 0.1)[0] dist = np.array([ np.linalg.norm( src.center - blend.sources[0].center) * HSC_pixel_scale for src in np.array(blend.sources)[sed_ind] ]) dist_flag = ( dist < 3 * np.sqrt(cen_obj['a'] * cen_obj['b']) * HSC_pixel_scale) # maybe use segmap flag? i.e., include objects that are overlaped # with the target galaxy in the inital detection. point_flag = np.array([ isinstance(src, scarlet.source.PointSource) for src in np.array(blend.sources)[sed_ind] ]) # we don't want point source near_cen_flag = [ (segmap_ori == cen_indx_ori + 1)[int(src.center[0]), int(src.center[1])] # src.center: [y, x] for src in np.array(blend.sources)[sed_ind] ] sed_ind = sed_ind[(~point_flag) & near_cen_flag & dist_flag] if not 0 in sed_ind: # the central source must be included. sed_ind = np.array(list(set(sed_ind).union({0}))) else: sed_ind = np.array([0]) print( f' - Components {sed_ind} are considered as the target galaxy.') # Only mask bright stars!!! print(' - Masking stars and other sources that are modeled, to deal with leaky flux issue.') # Generate a VERY AGGRESSIVE mask, named "footprint" footprint = np.zeros_like(segmap_highfreq, dtype=bool) # for ind in cpct['index']: # mask ExtendedSources which are modeled # footprint[segmap_highfreq == ind + 1] = 1 # footprint[segmap_highfreq == cen_indx_highfreq + 1] = 0 sed_ind_pix = np.array([item.center for item in np.array( sources)[sed_ind]]).astype(int) # the y and x of sed_ind objects # # if any objects in `sed_ind` is in `segmap_highfreq` # sed_corr_indx = segmap_highfreq[sed_ind_pix[:, 0], sed_ind_pix[:, 1]] # for ind in sed_corr_indx: # footprint[segmap_highfreq == ind] = 0 # smooth_radius = 1.5 # gaussian_threshold = 0.03 # mask_conv = np.copy(footprint) # mask_conv[mask_conv > 0] = 1 # mask_conv = convolve(mask_conv.astype( # float), Gaussian2DKernel(smooth_radius)) # footprint = (mask_conv >= gaussian_threshold) # Mask star within the box if len(star_cat) > 0: _, star_mask = kz.utils.gaia_star_mask( # Generate GAIA mask only for stars outside of the Starlet box data.images.mean(axis=0), data.wcs, gaia_stars=star_cat, pixel_scale=0.168, gaia_bright=18., mask_a=694.7, mask_b=3.8, factor_b=1.0, factor_f=2.0) footprint = footprint | star_mask # Mask big objects from `big_cat` if len(obj_cat_big) > 0: # Blow-up radius depends on the distance to target galaxy catalog_c = SkyCoord(big_cat['ra'], big_cat['dec'], unit='deg') dist = lsbg_coord.separation(catalog_c) near_flag = (dist < 4 * cen_obj['a'] * HSC_pixel_scale * u.arcsec) footprint2 = np.zeros_like(segmap_big, dtype=bool) # mask ExtendedSources which are modeled for ind in big_cat[near_flag]['index']: footprint2[segmap_big == ind + 1] = 1 # if any objects in `sed_ind` is in `segmap_big` sed_corr_indx = segmap_big[sed_ind_pix[:, 0], sed_ind_pix[:, 1]] for ind in sed_corr_indx: footprint2[segmap_big == ind] = 0 footprint2[segmap_big == cen_indx_big + 1] = 0 smooth_radius = 1.5 gaussian_threshold = 0.1 mask_conv = np.copy(footprint2) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) footprint2 = (mask_conv >= gaussian_threshold) footprint3 = np.zeros_like(segmap_big, dtype=bool) # mask ExtendedSources which are modeled for ind in big_cat[~near_flag]['index']: footprint3[segmap_big == ind + 1] = 1 smooth_radius = 5 gaussian_threshold = 0.01 mask_conv = np.copy(footprint3) mask_conv[mask_conv > 0] = 1 mask_conv = convolve(mask_conv.astype( float), Gaussian2DKernel(smooth_radius)) footprint3 = (mask_conv >= gaussian_threshold) footprint2 += footprint3 # combine together # # if any objects in `sed_ind` is in `segmap_big` # sed_corr_indx = segmap_big[sed_ind_pix[:, 0], sed_ind_pix[:, 1]] # for ind in sed_corr_indx: # footprint2[segmap_big == ind] = 0 # footprint2[segmap_big == cen_indx_big + 1] = 0 # This is the mask for everything except target galaxy footprint = footprint + footprint2 outdir = os.path.join( model_dir, f'{prefix}-{index:04d}-trained-model-wavelet.df') print(f' - Saving the results as {os.path.abspath(outdir)}') with open(os.path.abspath(outdir), 'wb') as fp: dill.dump( [blend, {'e_rel': e_rel, 'loss': blend.loss[-1], 'sed_ind': sed_ind}, footprint], fp) fp.close() # Save fitting figure fig = kz.display.display_scarlet_model( blend, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=False, show_mark=False, scale_bar=False) plt.savefig( os.path.join(figure_dir, f'{prefix}-{index:04d}-fitting-wavelet.png'), bbox_inches='tight') if not show_figure: plt.close() # Save zoomin figure (non-agressively-masked, target galaxy only) fig = kz.display.display_scarlet_model( blend, show_ind=sed_ind, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=True, show_mask=False, show_mark=False, scale_bar=False) plt.savefig( os.path.join(figure_dir, f'{prefix}-{index:04d}-zoomin-wavelet.png'), bbox_inches='tight') if not show_figure: plt.close() # Save zoomin figure (aggressively-masked, target galaxy only) new_weights = data.weights.copy() for layer in new_weights: layer[footprint.astype(bool)] = 0 observation2 = scarlet.Observation( data.images, wcs=data.wcs, psf=data.psfs, weights=new_weights, channels=list(data.channels)) observation2 = observation2.match(model_frame) blend2 = scarlet.Blend(sources, observation2) fig = kz.display.display_scarlet_model( blend2, show_ind=sed_ind, zoomin_size=50, minimum=-0.3, stretch=1, channels='griz', show_loss=False, show_mask=True, show_mark=False, scale_bar=False) plt.savefig( os.path.join(figure_dir, f'{prefix}-{index:04d}-zoomin-mask-wavelet.png'), bbox_inches='tight') if not show_figure: plt.close() # # Save high-freq-removed figure # ## remove high-frequency features from the Starlet objects # for src in np.array(blend2.sources)[sed_ind]: # if isinstance(src, scarlet.StarletSource): # # Cutout a patch of original image # y_cen, x_cen = np.array(src.bbox.shape)[1:] // 2 + np.array(src.bbox.origin)[1:] # size = np.array(src.bbox.shape)[1:] // 2 # img_ = observation.data[:, y_cen - size[0]:y_cen + size[0] + 1, x_cen - size[1]:x_cen + size[1] + 1] # morph = src.children[1] # stlt = Starlet(morph.get_model(), direct=True) # c = stlt.coefficients # c[:, :2, :, :] = 0 # Remove high-frequency features # new_morph = copy.deepcopy(morph) # new_src = copy.deepcopy(src) # new_morph.__init__(morph.frame, img_, coeffs=c, bbox=morph.bbox) # src.children[1] = new_morph # fig = kz.display.display_scarlet_model( # blend2, # show_ind=sed_ind, # zoomin_size=50, # minimum=-0.3, # stretch=1, # channels='griz', # show_loss=False, # show_mask=True, # show_mark=False, # scale_bar=False) # plt.savefig( # os.path.join(figure_dir, f'{prefix}-{index:04d}-zoomin-blur-wavelet.png'), bbox_inches='tight') # if not show_figure: # plt.close() return blend except Exception as e: print(e) return blend def fitting_wavelet_observation(lsbg, hsc_dr, cutout_halfsize=1.0, starlet_thresh=0.8, prefix='LSBG', pixel_scale=HSC_pixel_scale, zp=HSC_zeropoint, model_dir='./Models', figure_dir='./Figure', show_figure=False): clear_output() from kuaizi.utils import padding_PSF kz.utils.set_env(project='HSC', name='HSC_LSBG') # kz.utils.set_matplotlib(usetex=False, fontsize=15) index = lsbg['Seq'] lsbg_coord = SkyCoord(ra=lsbg['RAJ2000'], dec=lsbg['DEJ2000'], unit='deg') img_dir = './Images/' psf_dir = './PSFs/' if not os.path.isdir(img_dir): os.mkdir(img_dir) if not os.path.isdir(psf_dir): os.mkdir(psf_dir) size_ang = cutout_halfsize * u.arcmin channels = 'griz' cutout = hsc_cutout( lsbg_coord, cutout_size=size_ang, filters=channels, mask=True, variance=True, archive=hsc_dr, use_saved=True, save_output=True, output_dir=img_dir, prefix=f'LSBG_{index:04d}_img') # {prefix} psf_list = hsc_psf( lsbg_coord, centered=True, filters=channels, img_type='coadd', verbose=True, archive=hsc_dr, use_saved=True, save_output=True, output_dir=psf_dir, prefix=f'LSBG_{index:04d}_psf') channels_list = list(channels) # Reconstructure data images = np.array([hdu[1].data for hdu in cutout]) w = wcs.WCS(cutout[0][1].header) # note: all bands share the same WCS here filters = channels_list weights = 1 / np.array([hdu[3].data for hdu in cutout]) psf_pad = padding_PSF(psf_list) # Padding PSF cutouts from HSC psfs = scarlet.ImagePSF(np.array(psf_pad)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) blend = _fitting_wavelet( data, lsbg_coord, starlet_thresh=starlet_thresh, prefix=prefix, index=index, pixel_scale=pixel_scale, zp=zp, model_dir=model_dir, figure_dir=figure_dir, show_figure=show_figure) return blend def fitting_wavelet_obs_tigress(lsbg, starlet_thresh=0.8, prefix='LSBG', pixel_scale=HSC_pixel_scale, zp=HSC_zeropoint, model_dir='./Model', figure_dir='./Figure', show_figure=False): clear_output() from kuaizi.utils import padding_PSF from kuaizi.mock import Data kz.utils.set_env(project='HSC', name='LSBG', data_dir='/home/jiaxuanl/Data') index = lsbg['Seq'] channels = 'griz' print(f'### Running scarlet wavelet modeling for {prefix}-{index}') # useful for query GAIA lsbg_coord = SkyCoord(ra=lsbg['RAJ2000'], dec=lsbg['DEJ2000'], unit='deg') cutout = [fits.open(f"{lsbg['prefix']}_{band}.fits") for band in channels] psf_list = [fits.open(f"{lsbg['prefix']}_{band}_psf.fits") for band in channels] # Reconstructure data images = np.array([hdu[1].data for hdu in cutout]) w = wcs.WCS(cutout[0][1].header) # note: all bands share the same WCS here weights = 1 / np.array([hdu[3].data for hdu in cutout]) psf_pad = padding_PSF(psf_list) # Padding PSF cutouts from HSC psfs = scarlet.ImagePSF(np.array(psf_pad)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) blend = _fitting_wavelet( data, lsbg_coord, starlet_thresh=starlet_thresh, prefix=prefix, index=index, pixel_scale=pixel_scale, zp=zp, model_dir=model_dir, figure_dir=figure_dir, show_figure=show_figure, tigress=True) return blend def fitting_wavelet_mockgal(index=0, starlet_thresh=0.8, prefix='MockLSBG', pixel_scale=HSC_pixel_scale, zp=HSC_zeropoint, model_dir='./Models/MockGalModel', output_dir='./Models/', figure_dir='./Figure', show_figure=False): clear_output() kz.utils.set_env(project='HSC', name='HSC_LSBG') index = index from kuaizi.mock import MockGal mgal = MockGal.read(os.path.join( model_dir, f'{prefix}-{index:04d}.pkl')) print('Loading', os.path.join( model_dir, f'{prefix}-{index:04d}.pkl')) channels = mgal.channels channels_list = list(channels) filters = channels_list lsbg_coord = SkyCoord( ra=mgal.model.info['ra'], dec=mgal.model.info['dec'], unit='deg') # Reconstructure data images = mgal.mock.images w = mgal.mock.wcs weights = 1 / mgal.mock.variances psfs = scarlet.ImagePSF(np.array(mgal.mock.psfs)) data = Data(images=images, weights=weights, wcs=w, psfs=psfs, channels=channels) blend = _fitting_wavelet( data, lsbg_coord, starlet_thresh=starlet_thresh, prefix=prefix, index=index, pixel_scale=pixel_scale, zp=zp, model_dir=output_dir, figure_dir=figure_dir, show_figure=show_figure) return blend

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null

0

7

bbd71fd8582cff0a1d89fb5a83fc1bf80dc26d79

1,007

py

Python

src/datasets/__init__.py

agnes-yang/DeepADoTS

4a52caf4e49bad8e057649ca05ea9522c77518fb

[ "MIT" ]

null

src/datasets/__init__.py

agnes-yang/DeepADoTS

4a52caf4e49bad8e057649ca05ea9522c77518fb

[ "MIT" ]

null

src/datasets/__init__.py

agnes-yang/DeepADoTS

4a52caf4e49bad8e057649ca05ea9522c77518fb

[ "MIT" ]

null

<<<<<<< HEAD from .dataset import Dataset from .kdd_cup import KDDCup from .multivariate_anomaly_function import MultivariateAnomalyFunction from .real_datasets import RealDataset, RealPickledDataset from .synthetic_data_generator import SyntheticDataGenerator from .synthetic_dataset import SyntheticDataset __all__ = [ 'Dataset', 'SyntheticDataset', 'RealDataset', 'RealPickledDataset', 'KDDCup', 'SyntheticDataGenerator', 'MultivariateAnomalyFunction' ] ======= from .dataset import Dataset from .kdd_cup import KDDCup from .multivariate_anomaly_function import MultivariateAnomalyFunction from .real_datasets import RealDataset, RealPickledDataset from .synthetic_data_generator import SyntheticDataGenerator from .synthetic_dataset import SyntheticDataset __all__ = [ 'Dataset', 'SyntheticDataset', 'RealDataset', 'RealPickledDataset', 'KDDCup', 'SyntheticDataGenerator', 'MultivariateAnomalyFunction' ] >>>>>>> upstream/master

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9

bbf8432ec4cb1c805e68fd560036b02c73f22b72

139

py

Python

code/chapter-1/exercise1_14.py

Kevin-Oudai/python-solutions

d67f6b14723b000fec0011c3e8156b805eb288f7

[ "MIT" ]

null

code/chapter-1/exercise1_14.py

Kevin-Oudai/python-solutions

d67f6b14723b000fec0011c3e8156b805eb288f7

[ "MIT" ]

null

code/chapter-1/exercise1_14.py

Kevin-Oudai/python-solutions

d67f6b14723b000fec0011c3e8156b805eb288f7

[ "MIT" ]

null

import turtle turtle.right(60) turtle.forward(50) turtle.right(120) turtle.forward(50) turtle.right(120) turtle.forward(50) turtle.done()

13.9

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0.776978

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0.583333

0.731481

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139

9

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null

0

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11

bbfa830a348927b577d555d8a1d35b262a61598d

942

py

Python

optimus/engines/base/io/save.py

liRONCO11/optimus

0ca0567267300397c7ba711483c46f94ac265e55

[ "Apache-2.0" ]

null

optimus/engines/base/io/save.py

liRONCO11/optimus

0ca0567267300397c7ba711483c46f94ac265e55

[ "Apache-2.0" ]

null

optimus/engines/base/io/save.py

liRONCO11/optimus

0ca0567267300397c7ba711483c46f94ac265e55

[ "Apache-2.0" ]

null

class BaseSave: def file(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def csv(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def xml(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def json(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def excel(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def avro(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def parquet(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def orc(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet") def hdf5(self, path, *args, **kwargs): raise NotImplementedError("Not implemented yet")

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9

a56eab4367070594e81c1811b76ddfb4ded2f278

118

py

Python

Warmup-1/front_back.py

VivekM27/Coding-Bat-Python-Solutions

14d5c6ccaa2129e56a5898374dec60740fe6761b

[ "Apache-2.0" ]

null

Warmup-1/front_back.py

VivekM27/Coding-Bat-Python-Solutions

14d5c6ccaa2129e56a5898374dec60740fe6761b

[ "Apache-2.0" ]

null

Warmup-1/front_back.py

VivekM27/Coding-Bat-Python-Solutions

14d5c6ccaa2129e56a5898374dec60740fe6761b

[ "Apache-2.0" ]

null

# FRONT_BACK def front_back(str): return str if(len(str) <= 1) else (str[len(str)-1] + str[1:len(str)-1] + str[0])

39.333333

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118

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1

0

1

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8

a59d06e07eab023d56ce56ccb8eebd856ed9cf82

116

py

Python

tests/input/unused-import/smoke.py

DKorytkin/pylint-pytest

097b7767e5f33ad512d421bea9ebb74a251f47bd

[ "MIT" ]

37

2020-06-04T16:34:39.000Z

2022-02-27T13:00:22.000Z

tests/input/unused-import/smoke.py

DKorytkin/pylint-pytest

097b7767e5f33ad512d421bea9ebb74a251f47bd

[ "MIT" ]

26

2020-07-10T15:53:19.000Z

2022-03-28T23:56:03.000Z

tests/input/unused-import/smoke.py

DKorytkin/pylint-pytest

097b7767e5f33ad512d421bea9ebb74a251f47bd

[ "MIT" ]

6

2020-06-29T17:45:38.000Z

2022-02-19T01:09:57.000Z

from conftest import conftest_fixture_attr def test_conftest_fixture_attr(conftest_fixture_attr): assert True

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1

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7

3c069f9610fbff661103c7e4de11c54530b94ec1

37,785

py

Python

venv/lib/python3.8/site-packages/azure/mgmt/security/operations/_alerts_operations.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

null

venv/lib/python3.8/site-packages/azure/mgmt/security/operations/_alerts_operations.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

null

venv/lib/python3.8/site-packages/azure/mgmt/security/operations/_alerts_operations.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

2

2021-05-23T16:46:31.000Z

2021-05-26T23:51:09.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from msrestazure.azure_exceptions import CloudError from .. import models class AlertsOperations(object): """AlertsOperations operations. You should not instantiate directly this class, but create a Client instance that will create it for you and attach it as attribute. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: API version for the operation. Constant value: "2020-01-01". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = "2020-01-01" self.config = config def list( self, custom_headers=None, raw=False, **operation_config): """List all the alerts that are associated with the subscription. :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Alert :rtype: ~azure.mgmt.security.models.AlertPaged[~azure.mgmt.security.models.Alert] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ def prepare_request(next_link=None): if not next_link: # Construct URL url = self.list.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) return request def internal_paging(next_link=None): request = prepare_request(next_link) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response header_dict = None if raw: header_dict = {} deserialized = models.AlertPaged(internal_paging, self._deserialize.dependencies, header_dict) return deserialized list.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Security/alerts'} def list_by_resource_group( self, resource_group_name, custom_headers=None, raw=False, **operation_config): """List all the alerts that are associated with the resource group. :param resource_group_name: The name of the resource group within the user's subscription. The name is case insensitive. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Alert :rtype: ~azure.mgmt.security.models.AlertPaged[~azure.mgmt.security.models.Alert] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ def prepare_request(next_link=None): if not next_link: # Construct URL url = self.list_by_resource_group.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) return request def internal_paging(next_link=None): request = prepare_request(next_link) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response header_dict = None if raw: header_dict = {} deserialized = models.AlertPaged(internal_paging, self._deserialize.dependencies, header_dict) return deserialized list_by_resource_group.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/alerts'} def list_subscription_level_alerts_by_region( self, custom_headers=None, raw=False, **operation_config): """List all the alerts that are associated with the subscription that are stored in a specific location. :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Alert :rtype: ~azure.mgmt.security.models.AlertPaged[~azure.mgmt.security.models.Alert] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ def prepare_request(next_link=None): if not next_link: # Construct URL url = self.list_subscription_level_alerts_by_region.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) return request def internal_paging(next_link=None): request = prepare_request(next_link) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response header_dict = None if raw: header_dict = {} deserialized = models.AlertPaged(internal_paging, self._deserialize.dependencies, header_dict) return deserialized list_subscription_level_alerts_by_region.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Security/locations/{ascLocation}/alerts'} def list_resource_group_level_alerts_by_region( self, resource_group_name, custom_headers=None, raw=False, **operation_config): """List all the alerts that are associated with the resource group that are stored in a specific location. :param resource_group_name: The name of the resource group within the user's subscription. The name is case insensitive. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of Alert :rtype: ~azure.mgmt.security.models.AlertPaged[~azure.mgmt.security.models.Alert] :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ def prepare_request(next_link=None): if not next_link: # Construct URL url = self.list_resource_group_level_alerts_by_region.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) return request def internal_paging(next_link=None): request = prepare_request(next_link) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp return response # Deserialize response header_dict = None if raw: header_dict = {} deserialized = models.AlertPaged(internal_paging, self._deserialize.dependencies, header_dict) return deserialized list_resource_group_level_alerts_by_region.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/locations/{ascLocation}/alerts'} def get_subscription_level_alert( self, alert_name, custom_headers=None, raw=False, **operation_config): """Get an alert that is associated with a subscription. :param alert_name: Name of the alert object :type alert_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Alert or ClientRawResponse if raw=true :rtype: ~azure.mgmt.security.models.Alert or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.get_subscription_level_alert.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('Alert', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_subscription_level_alert.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}'} def get_resource_group_level_alerts( self, alert_name, resource_group_name, custom_headers=None, raw=False, **operation_config): """Get an alert that is associated a resource group or a resource in a resource group. :param alert_name: Name of the alert object :type alert_name: str :param resource_group_name: The name of the resource group within the user's subscription. The name is case insensitive. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: Alert or ClientRawResponse if raw=true :rtype: ~azure.mgmt.security.models.Alert or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.get_resource_group_level_alerts.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp deserialized = None if response.status_code == 200: deserialized = self._deserialize('Alert', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_resource_group_level_alerts.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}'} def update_subscription_level_alert_state_to_dismiss( self, alert_name, custom_headers=None, raw=False, **operation_config): """Update the alert's state. :param alert_name: Name of the alert object :type alert_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.update_subscription_level_alert_state_to_dismiss.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_subscription_level_alert_state_to_dismiss.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}/dismiss'} def update_subscription_level_state_to_resolve( self, alert_name, custom_headers=None, raw=False, **operation_config): """Update the alert's state. :param alert_name: Name of the alert object :type alert_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.update_subscription_level_state_to_resolve.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_subscription_level_state_to_resolve.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}/resolve'} def update_subscription_level_alert_state_to_reactivate( self, alert_name, custom_headers=None, raw=False, **operation_config): """Update the alert's state. :param alert_name: Name of the alert object :type alert_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.update_subscription_level_alert_state_to_reactivate.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_subscription_level_alert_state_to_reactivate.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}/activate'} def update_resource_group_level_state_to_resolve( self, alert_name, resource_group_name, custom_headers=None, raw=False, **operation_config): """Update the alert's state. :param alert_name: Name of the alert object :type alert_name: str :param resource_group_name: The name of the resource group within the user's subscription. The name is case insensitive. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.update_resource_group_level_state_to_resolve.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_resource_group_level_state_to_resolve.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}/resolve'} def update_resource_group_level_alert_state_to_dismiss( self, alert_name, resource_group_name, custom_headers=None, raw=False, **operation_config): """Update the alert's state. :param alert_name: Name of the alert object :type alert_name: str :param resource_group_name: The name of the resource group within the user's subscription. The name is case insensitive. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.update_resource_group_level_alert_state_to_dismiss.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_resource_group_level_alert_state_to_dismiss.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}/dismiss'} def update_resource_group_level_alert_state_to_reactivate( self, alert_name, resource_group_name, custom_headers=None, raw=False, **operation_config): """Update the alert's state. :param alert_name: Name of the alert object :type alert_name: str :param resource_group_name: The name of the resource group within the user's subscription. The name is case insensitive. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CloudError<msrestazure.azure_exceptions.CloudError>` """ # Construct URL url = self.update_resource_group_level_alert_state_to_reactivate.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str', pattern=r'^[0-9A-Fa-f]{8}-([0-9A-Fa-f]{4}-){3}[0-9A-Fa-f]{12}$'), 'ascLocation': self._serialize.url("self.config.asc_location", self.config.asc_location, 'str'), 'alertName': self._serialize.url("alert_name", alert_name, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1, pattern=r'^[-\w\._]+$') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [204]: exp = CloudError(response) exp.request_id = response.headers.get('x-ms-request-id') raise exp if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response update_resource_group_level_alert_state_to_reactivate.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Security/locations/{ascLocation}/alerts/{alertName}/activate'}

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1

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0

7

3c0c54bee76e5ed8f9221f47356913657ebf8287

30,760

py

Python

assets/py/fonts/robotol.py

hkdickyko/hkdickyko.github.io

bbee50cc1002071c100e9109952fa58966f78a6c

[ "MIT" ]

1

2021-01-07T14:48:03.000Z

assets/py/fonts/robotol.py

hkdickyko/hkdickyko.github.io

bbee50cc1002071c100e9109952fa58966f78a6c

[ "MIT" ]

null

assets/py/fonts/robotol.py

hkdickyko/hkdickyko.github.io

bbee50cc1002071c100e9109952fa58966f78a6c

[ "MIT" ]

null

# Code generated by font_to_py.py. # Font: Robotol.ttf # Cmd: ./font_to_py.py -x Robotol.ttf 30 myfont.py version = '0.33' def height(): return 31 def baseline(): return 24 def max_width(): return 26 def hmap(): return True def reverse(): return False def monospaced(): return False def min_ch(): return 32 def max_ch(): return 126 _font =\ b'\x0d\x00\x00\x00\x00\x00\x00\x00\x03\xe0\x0f\xf0\x1c\x38\x18\x18'\ b'\x10\x18\x20\x18\x00\x18\x00\x30\x00\x60\x00\xe0\x01\x80\x03\x00'\ b'\x02\x00\x06\x00\x06\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0c\x00'\ b'\x0c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x07\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x06\x00\x00\x00\x00\x0c\x0c\x0c\x0c\x08\x18\x18\x18\x18\x10'\ b'\x10\x30\x30\x30\x30\x00\x00\x00\x00\x60\x60\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x00\x00\x09\x80\x09\x00\x09\x00\x19\x00'\ 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b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x19\xf0\x78\x00\x1b\xf9\xfc\x00\x16\x1b\x0e\x00\x18\x0e\x06'\ b'\x00\x30\x0c\x06\x00\x30\x0c\x06\x00\x30\x08\x06\x00\x30\x08\x06'\ b'\x00\x30\x18\x06\x00\x20\x18\x04\x00\x60\x18\x04\x00\x60\x18\x0c'\ b'\x00\x60\x10\x0c\x00\x60\x10\x0c\x00\x40\x30\x0c\x00\x40\x30\x0c'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x19'\ b'\xf0\x1b\xf8\x1e\x18\x1c\x0c\x18\x0c\x10\x0c\x30\x0c\x30\x08\x30'\ b'\x08\x30\x18\x30\x18\x20\x18\x60\x18\x60\x18\x60\x10\x60\x30\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03'\ b'\xe0\x0f\xf8\x1c\x18\x18\x0c\x30\x0c\x20\x04\x60\x04\x60\x04\x60'\ b'\x04\x60\x0c\x60\x0c\x60\x18\x30\x18\x38\x70\x1f\xe0\x0f\x80\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x19'\ b'\xf0\x1b\xf8\x1e\x18\x18\x0c\x18\x0c\x30\x0c\x30\x0c\x30\x0c\x30'\ b'\x0c\x30\x0c\x20\x0c\x60\x18\x70\x38\x78\x70\x7f\xe0\x67\xc0\x40'\ b'\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\x00\x00\x10\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x03'\ b'\xe6\x0f\xf6\x1c\x1c\x18\x0c\x30\x0c\x30\x0c\x20\x0c\x60\x0c\x60'\ b'\x08\x60\x18\x60\x18\x60\x18\x30\x38\x38\x78\x1f\xd0\x0f\x90\x00'\ b'\x30\x00\x30\x00\x30\x00\x30\x00\x20\x00\x60\x00\x00\x0a\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x19'\ b'\xc0\x1b\xc0\x1e\x00\x1c\x00\x18\x00\x10\x00\x30\x00\x30\x00\x30'\ b'\x00\x30\x00\x20\x00\x20\x00\x60\x00\x60\x00\x60\x00\x60\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0e\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x07'\ b'\xc0\x0f\xf0\x18\x30\x30\x18\x30\x18\x38\x00\x1e\x00\x0f\xc0\x01'\ b'\xe0\x00\x70\x00\x30\x40\x30\x60\x30\x70\xe0\x3f\xc0\x1f\x80\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x04\x00\x04\x00\x0c\x00\x0c\x00\x7f'\ b'\x80\x7f\x80\x08\x00\x08\x00\x18\x00\x18\x00\x18\x00\x18\x00\x10'\ b'\x00\x10\x00\x30\x00\x30\x00\x30\x00\x30\x00\x3e\x00\x1e\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x10\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x08'\ b'\x06\x18\x06\x18\x06\x18\x04\x18\x0c\x10\x0c\x10\x0c\x30\x0c\x30'\ b'\x0c\x30\x08\x30\x18\x30\x18\x30\x38\x38\x78\x1f\xd8\x0f\x90\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0e\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x30'\ b'\x0c\x30\x0c\x30\x18\x30\x18\x10\x30\x10\x30\x18\x60\x18\x60\x18'\ b'\xc0\x08\xc0\x09\x80\x0d\x80\x0f\x00\x0f\x00\x06\x00\x06\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x15\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x30\x18\x18\x30\x38\x18\x30\x38\x10'\ b'\x30\x78\x30\x10\x48\x30\x10\xc8\x60\x10\xc8\x60\x10\x88\x40\x11'\ b'\x88\xc0\x19\x0c\x80\x1b\x0d\x80\x1a\x0d\x00\x1e\x07\x00\x1c\x07'\ b'\x00\x0c\x06\x00\x08\x06\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x18\x0e'\ b'\x0c\x0c\x0c\x18\x04\x30\x06\x60\x02\x60\x03\xc0\x01\x80\x03\x80'\ b'\x06\x80\x06\xc0\x0c\x40\x18\x60\x30\x20\x70\x30\xe0\x18\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0f\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x18\x06'\ b'\x18\x06\x18\x0c\x08\x0c\x08\x18\x0c\x18\x0c\x30\x0c\x30\x04\x60'\ b'\x04\x60\x06\xc0\x06\xc0\x07\x80\x03\x00\x03\x00\x02\x00\x06\x00'\ b'\x04\x00\x0c\x00\x18\x00\xf8\x00\xe0\x00\x00\x00\x0e\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x1f\xfc'\ b'\x3f\xf8\x00\x18\x00\x30\x00\x60\x00\xc0\x01\x80\x03\x00\x06\x00'\ b'\x0c\x00\x18\x00\x30\x00\x60\x00\x60\x00\xff\xf0\xff\xf0\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x0b\x00\x00\x00'\ b'\x00\x60\x00\xc0\x01\x80\x03\x00\x02\x00\x06\x00\x06\x00\x06\x00'\ b'\x06\x00\x04\x00\x0c\x00\x0c\x00\x0c\x00\x18\x00\x70\x00\x70\x00'\ b'\x30\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x10\x00\x10\x00'\ b'\x10\x00\x18\x00\x18\x00\x0c\x00\x06\x00\x00\x00\x06\x00\x00\x00'\ b'\x00\x0c\x0c\x08\x08\x08\x18\x18\x18\x10\x10\x10\x10\x30\x30\x30'\ b'\x20\x20\x20\x60\x60\x60\x40\x40\x40\xc0\x00\x00\x00\x0b\x00\x00'\ b'\x00\x08\x00\x06\x00\x02\x00\x03\x00\x03\x00\x03\x00\x03\x00\x03'\ b'\x00\x03\x00\x03\x00\x03\x00\x03\x00\x03\x00\x03\x80\x01\xc0\x01'\ b'\xc0\x03\x00\x06\x00\x04\x00\x04\x00\x0c\x00\x0c\x00\x0c\x00\x0c'\ b'\x00\x08\x00\x18\x00\x30\x00\x60\x00\x80\x00\x00\x00\x13\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x0f\x00\x80\x1f\xc0\x80\x30\xe1\x80\x20'\ b'\x7f\x00\x60\x1e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00' _index =\ b'\x00\x00\x40\x00\x61\x00\x82\x00\xc2\x00\x21\x01\x61\x01\xc0\x01'\ b'\x1f\x02\x40\x02\x80\x02\xc0\x02\x00\x03\x40\x03\x61\x03\x82\x03'\ b'\xa3\x03\xe3\x03\x23\x04\x63\x04\xa3\x04\xe3\x04\x23\x05\x63\x05'\ b'\xa3\x05\xe3\x05\x23\x06\x63\x06\x84\x06\xa5\x06\xe5\x06\x25\x07'\ b'\x65\x07\xa5\x07\x23\x08\x82\x08\xe1\x08\x40\x09\x9f\x09\xfe\x09'\ b'\x5d\x0a\xbc\x0a\x1b\x0b\x3c\x0b\x7c\x0b\xdb\x0b\x1b\x0c\x7a\x0c'\ b'\xd9\x0c\x38\x0d\x97\x0d\xf6\x0d\x55\x0e\xb4\x0e\x13\x0f\x72\x0f'\ b'\xd1\x0f\x4f\x10\xae\x10\x0d\x11\x6c\x11\xac\x11\xec\x11\x2c\x12'\ b'\x6c\x12\xac\x12\xcd\x12\x0d\x13\x4d\x13\x8d\x13\xcd\x13\x0d\x14'\ b'\x4d\x14\x8d\x14\xcd\x14\xee\x14\x2e\x15\x6e\x15\x8f\x15\x0d\x16'\ b'\x4d\x16\x8d\x16\xcd\x16\x0d\x17\x4d\x17\x8d\x17\xcd\x17\x0d\x18'\ b'\x4d\x18\xac\x18\xec\x18\x2c\x19\x6c\x19\xac\x19\xcd\x19\x0d\x1a'\ b'\x6c\x1a' _mvfont = memoryview(_font) _mvi = memoryview(_index) ifb = lambda l : l[0] | (l[1] << 8) def get_ch(ch): oc = ord(ch) ioff = 2 * (oc - 32 + 1) if oc >= 32 and oc <= 126 else 0 doff = ifb(_mvi[ioff : ]) width = ifb(_mvfont[doff : ]) next_offs = doff + 2 + ((width - 1)//8 + 1) * 31 return _mvfont[doff + 2:next_offs], 31, width

63.6853

68

0.707315

7,514

30,760

2.893

0.024488

0.667403

0.825145

0.946729

0.758349

0.706735

0.65374

0.617812

0.583402

0.562379

0

0.426386

0.020481

30,760

482

69

63.817427

0.295088

0.003218

0

0.152688

1

0.935484

0.907982

0.90759

0

1

0

1

0.019355

false

0

0.017204

0.03871

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null

1

0

1

0

1

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1

0

1

null

1

0

11

3c30821a09ac765ea4d55bdc1822d2aca5787924

23,845

py

Python

test/test_fixes_ref.py

psg-mit/latexpp

0b7b523c9ce147c2d34cc430b1abd39972e33fa9

[ "MIT" ]

4

2020-08-28T18:41:48.000Z

2021-11-11T11:23:58.000Z

test/test_fixes_ref.py

psg-mit/latexpp

0b7b523c9ce147c2d34cc430b1abd39972e33fa9

[ "MIT" ]

4

2020-07-31T07:34:38.000Z

2021-11-23T19:05:00.000Z

test/test_fixes_ref.py

psg-mit/latexpp

0b7b523c9ce147c2d34cc430b1abd39972e33fa9

[ "MIT" ]

1

2020-07-22T02:44:48.000Z

import os import os.path import unittest import helpers from latexpp.fixes import ref hyperref_aux_preamble = r"""\relax \providecommand\hyper@newdestlabel[2]{} \providecommand\HyperFirstAtBeginDocument{\AtBeginDocument} \HyperFirstAtBeginDocument{\ifx\hyper@anchor\@undefined \global\let\oldcontentsline\contentsline \gdef\contentsline#1#2#3#4{\oldcontentsline{#1}{#2}{#3}} \global\let\oldnewlabel\newlabel \gdef\newlabel#1#2{\newlabelxx{#1}#2} \gdef\newlabelxx#1#2#3#4#5#6{\oldnewlabel{#1}{{#2}{#3}}} \AtEndDocument{\ifx\hyper@anchor\@undefined \let\contentsline\oldcontentsline \let\newlabel\oldnewlabel \fi} \fi} \global\let\hyper@last\relax \gdef\HyperFirstAtBeginDocument#1{#1} \providecommand\HyField@AuxAddToFields[1]{} \providecommand\HyField@AuxAddToCoFields[2]{} """ @unittest.skipIf(os.environ.get("TRAVIS", "") == "true", "Skipping these tests on Travis CI because you'd need to run latex.") class TestExpandRefs(unittest.TestCase): maxDiff = None def setUp(self): # for possible location of crossreftools.sty and/or cleveref.sty in this # directory (test/*.sty) self.old_texinputs = os.environ.get('TEXINPUTS', '') os.environ['TEXINPUTS'] = os.path.realpath(os.path.dirname(__file__)) \ + ":" + self.old_texinputs + ":" def tearDown(self): os.environ['TEXINPUTS'] = self.old_texinputs def test_flags_ref_types(self): fix = ref.ExpandRefs(only_ref_types='ref') self.assertEqual(fix.ref_types, ['ref']) fix = ref.ExpandRefs(only_ref_types='cleveref') self.assertEqual(fix.ref_types, ['cleveref']) fix = ref.ExpandRefs(only_ref_types=['ref', 'ams-eqref']) self.assertEqual(fix.ref_types, ['ref', 'ams-eqref']) fix = ref.ExpandRefs(only_ref_types=set(['ref', 'ams-eqref'])) self.assertEqual(set(fix.ref_types), set(['ref', 'ams-eqref'])) def test_simple_ref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \begin{document} Equation~(\ref{eq:test}) on page~\pageref{eq:test} reads: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types='ref', debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: r""" \relax \newlabel{eq:test}{{1}{1}} """ lpp.install_fix( fix ) # NOTE: KEEP \protect's in output, because the substitution might happen # somewhere fragile. self.assertEqual( lpp.execute(latex), r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \begin{document} Equation~(1) on page~1 reads: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ ) def test_simple_ref_with_hyperref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Equation~(\ref{eq:test}) [Eq.~(\ref*{eq:test}) without link]: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types='ref', debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{eq:test}{{1}{1}{}{equation.0.1}{}} """ lpp.install_fix( fix ) # NOTE: KEEP \protect's in output, because the substitution might happen # somewhere fragile. self.assertEqual( lpp.execute(latex), r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Equation~(\protect \hyperref [eq:test]{1}) [Eq.~(1) without link]: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ ) def test_simple_ref_with_hyperref_nolink(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Equation~(\ref{eq:test}) [Eq.~(\ref*{eq:test}) without link]: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types='ref', make_hyperlinks=False, debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{eq:test}{{1}{1}{}{equation.0.1}{}} """ lpp.install_fix( fix ) # NOTE: KEEP \protect's in output, because the substitution might happen # somewhere fragile. self.assertEqual( lpp.execute(latex), r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Equation~(1) [Eq.~(1) without link]: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ ) def test_simple_eqref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsmath} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \begin{document} Equation~\eqref{eq:test} reads: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types='ams-eqref', debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: r""" \relax \newlabel{eq:test}{{1}{1}} """ lpp.install_fix( fix ) # NOTE: KEEP \protect's in output, because the substitution might happen # somewhere fragile. self.assertEqual( lpp.execute(latex), r""" \documentclass[11pt]{article} \usepackage{amsmath} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \begin{document} Equation~\protect \textup {\mathsurround \z@ \protect \normalfont (\ignorespaces 1\unskip \@@italiccorr )} reads: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ ) def test_simple_eqref_with_hyperref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsmath} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Equation~\eqref{eq:test}: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types='ams-eqref', debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{eq:test}{{1}{1}{}{equation.0.1}{}} """ lpp.install_fix( fix ) # NOTE: KEEP \protect's in output, because the substitution might happen # somewhere fragile. self.assertEqual( lpp.execute(latex), r""" \documentclass[11pt]{article} \usepackage{amsmath} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Equation~\protect \textup {\mathsurround \z@ \protect \normalfont (\ignorespaces \protect \hyperref [eq:test]{1}\unskip \@@italiccorr )}: \begin{equation} \label{eq:test} a + b = c\ . \end{equation} \end{document} """ ) def test_simple_cref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} A reference to \cref{lemma:test}. \Cref{lemma:test2} on \cpageref{lemma:test2} is nice, too. \Cpageref{lemma:test2} is what that was. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} A reference to lemma\protect \nobreakspace \protect \hyperlink {lemma.1}{1}. Lemma\protect \nobreakspace \protect \hyperlink {lemma.2}{2} on page\protect \nobreakspace \protect \hyperlink {lemma.2}{1} is nice, too. Page\protect \nobreakspace \protect \hyperlink {lemma.2}{1} is what that was. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_simple_cref_nolink(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} A reference to \cref{lemma:test}. \Cref{lemma:test2} on \cpageref{lemma:test2} is nice, too. \Cpageref{lemma:test2} is what that was. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(make_hyperlinks=False, debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} A reference to lemma\protect \nobreakspace 1. Lemma\protect \nobreakspace 2 on page\protect \nobreakspace 1 is nice, too. Page\protect \nobreakspace 1 is what that was. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_simple_cref_nohyperrefloaded(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{cleveref} \begin{document} A reference to \cref{lemma:test}. \Cref{lemma:test2} on \cpageref{lemma:test2} is nice, too. \Cpageref{lemma:test2} is what that was. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(make_hyperlinks=True, debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: r""" \newlabel{lemma:test}{{1}{1}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \begin{document} A reference to lemma\protect \nobreakspace 1. Lemma\protect \nobreakspace 2 on page\protect \nobreakspace 1 is nice, too. Page\protect \nobreakspace 1 is what that was. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_simple_crefrange(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} Ranges should work, too, like this: \crefrange{lemma:test}{lemma:test2} on \cpagerefrange{lemma:test}{lemma:test2}, as well as their capitalized versions: \Crefrange{lemma:test}{lemma:test2}; \Cpagerefrange{lemma:test}{lemma:test2}. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Ranges should work, too, like this: lemmas\protect \nobreakspace \protect \hyperlink {lemma.1}{1} to\protect \nobreakspace \protect \hyperlink {lemma.2}{2} on pages\protect \nobreakspace \protect \hyperlink {lemma.1}{1} to\protect \nobreakspace \protect \hyperlink {lemma.2}{1}, as well as their capitalized versions: Lemmas\protect \nobreakspace \protect \hyperlink {lemma.1}{1} to\protect \nobreakspace \protect \hyperlink {lemma.2}{2}; Pages\protect \nobreakspace \protect \hyperlink {lemma.1}{1} to\protect \nobreakspace \protect \hyperlink {lemma.2}{1}. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_simple_crefrange_nolink(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} Ranges should work, too, like this: \crefrange{lemma:test}{lemma:test2} on \cpagerefrange{lemma:test}{lemma:test2}, as well as their capitalized versions: \Crefrange{lemma:test}{lemma:test2}; \Cpagerefrange{lemma:test}{lemma:test2}. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(make_hyperlinks=False, debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} Ranges should work, too, like this: lemmas\protect \nobreakspace 1 to\protect \nobreakspace 2 on pages\protect \nobreakspace 1 to\protect \nobreakspace 1, as well as their capitalized versions: Lemmas\protect \nobreakspace 1 to\protect \nobreakspace 2; Pages\protect \nobreakspace 1 to\protect \nobreakspace 1. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_simple_namecref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} The proof of the \namecref{lemma:test2} is easy. \nameCrefs{lemma:test2} like these are simple to prove. ``\nameCref{eq:hello}'' should work too (we'll add more \namecrefs{eq:hello} in the future), and so should ``\lcnamecref{eq:hello}'' and ``\lcnamecrefs{eq:hello}.'' Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types=('cleveref',), debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{eq:hello}{{1}{1}{}{equation.0.1}{}} \newlabel{eq:hello@cref}{{[equation][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} The proof of the lemma is easy. Lemmas like these are simple to prove. ``Equation'' should work too (we'll add more eqs. in the future), and so should ``\protect \MakeLowercase Equation'' and ``\protect \MakeLowercase Equations.'' Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_crefs_with_prefixes(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} Try \cref*{A-lemma:test}; \cref*{B-eq:hi}; \cref{B-eq:hi,lemma:test2}; \cref{lemma:test2} Also \crefrange*{A-eq:hello}{B-eq:hi}; \cpagerefrange{A-eq:hello}{B-eq:hi} Here is a lemma: \begin{lemma} \label{A-lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{A-eq:hello} a + b = c \ . \end{equation} and another: \begin{equation} \label{B-eq:hi} x = y\ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(expand_only_prefixes=['A-','B-'], debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{A-lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{A-lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{A-eq:hello}{{1}{1}{}{equation.0.1}{}} \newlabel{A-eq:hello@cref}{{[equation][1][]1}{1}} \newlabel{B-eq:hi}{{2}{1}{}{equation.0.2}{}} \newlabel{B-eq:hi@cref}{{[equation][2][]2}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} Try lemma\protect \nobreakspace 1; eq.\protect \nobreakspace \protect \textup {(2)}; \cref{B-eq:hi,lemma:test2}; \cref{lemma:test2} Also eqs.\protect \nobreakspace \protect \textup {(1)} to\protect \nobreakspace \protect \textup {(2)}; pages\protect \nobreakspace \protect \hyperlink {equation.0.1}{1} to\protect \nobreakspace \protect \hyperlink {equation.0.2}{1} Here is a lemma: \begin{lemma} \label{A-lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{A-eq:hello} a + b = c \ . \end{equation} and another: \begin{equation} \label{B-eq:hi} x = y\ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) def test_simple_labelcref(self): latex = r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \usepackage{cleveref} \begin{document} The proof of Thing~\labelcref{lemma:test,lemma:test2} is easy. Thing~\labelcref{eq:hello} is also simple to prove. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ lpp = helpers.MockLPP() fix = ref.ExpandRefs(only_ref_types=('cleveref',), debug_latex_output=True) fix._get_doc_preamble = fix._get_doc_preamble_recomposed fix._get_auxfile_contents = lambda: hyperref_aux_preamble + r""" \newlabel{lemma:test}{{1}{1}{}{lemma.1}{}} \newlabel{lemma:test@cref}{{[lemma][1][]1}{1}} \newlabel{eq:hello}{{1}{1}{}{equation.0.1}{}} \newlabel{eq:hello@cref}{{[equation][1][]1}{1}} \newlabel{lemma:test2}{{2}{1}{}{lemma.2}{}} \newlabel{lemma:test2@cref}{{[lemma][2][]2}{1}} """ lpp.install_fix( fix ) self.assertEqual( lpp.execute(latex), # NOTE: KEEP \protect in output, because the substitution might # happen somewhere fragile. r""" \documentclass[11pt]{article} \usepackage{amsthm} \newtheorem{lemma}{Lemma} \usepackage{hyperref} \begin{document} The proof of Thing~\protect \hyperlink {lemma.1}{1} and\protect \nobreakspace \protect \hyperlink {lemma.2}{2} is easy. Thing~\protect \textup {(\protect \hyperlink {equation.0.1}{1})} is also simple to prove. Here is a lemma: \begin{lemma} \label{lemma:test} Test lemma. \end{lemma} Here is an equation \begin{equation} \label{eq:hello} a + b = c \ . \end{equation} And here is another lemma: \begin{lemma} \label{lemma:test2} Another test lemma. \end{lemma} \end{document} """ ) if __name__ == '__main__': import logging logging.basicConfig(level=logging.DEBUG) helpers.test_main()

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0.031311

false

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0

null

0

1

0

1

0

null

0

7

3cb89a3f4819a09d0342fdb6ab6b754f1add08ac

235

py

Python

src/sage/manifolds/all.py

vbraun/sage

07d6c37d18811e2b377a9689790a7c5e24da16ba

[ "BSL-1.0" ]

3

2016-06-19T14:48:31.000Z

2022-01-28T08:46:01.000Z

src/sage/manifolds/all.py

rwst/sage

a9d274b9338e6ee24bf35ea8d25875507e51e455

[ "BSL-1.0" ]

null

src/sage/manifolds/all.py

rwst/sage

a9d274b9338e6ee24bf35ea8d25875507e51e455

[ "BSL-1.0" ]

7

2021-11-08T10:01:59.000Z

2022-03-03T11:25:52.000Z

from sage.misc.lazy_import import lazy_import lazy_import('sage.manifolds.manifold', 'Manifold') lazy_import('sage.manifolds.differentiable.real_line', 'OpenInterval') lazy_import('sage.manifolds.differentiable.real_line', 'RealLine')

47

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30

235

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null

0

1

0

1

0

1

0

8

3ce07b2f87bc6d5d7c203c92287977d5512103cc

13,195

py

Python

miwell-flask-app/tests/functional_tests/page_objects/main_page_objects/psychiatrist_register_page_object.py

joshuahigginson1/DevOps-Assessment-1

d617522ada565b8b587e2ff7525e1138d1559a75

[ "MIT" ]

1

2020-08-09T20:52:42.000Z

miwell-flask-app/tests/functional_tests/page_objects/main_page_objects/psychiatrist_register_page_object.py

joshuahigginson1/DevOps-Assessment-1

d617522ada565b8b587e2ff7525e1138d1559a75

[ "MIT" ]

null

miwell-flask-app/tests/functional_tests/page_objects/main_page_objects/psychiatrist_register_page_object.py

joshuahigginson1/DevOps-Assessment-1

d617522ada565b8b587e2ff7525e1138d1559a75

[ "MIT" ]

1

2020-08-08T11:47:27.000Z

# Contains the objects found on our psychiatrist register page. # Imports ------------------------------------------------------------------------------------------------- from tests.functional_tests.page_objects.common_page_objects import CommonPageObject, PsychiatristNavBar # Page Objects -------------------------------------------------------------------------------------------- class PsychiatristRegisterPageObject(CommonPageObject, PsychiatristNavBar): # Default Page Variables. user_email = 'Email@gmail.com' user_password = 'Default Password' user_first_name = 'Default' user_last_name = 'Psychiatrist' bacp_number = '1616161616161616' user_phone_number = '07777777777' user_postcode = 'L1 7DQ' psychiatrist_bio = 'I am a robot. Not a registered psychiatrist.' def get_email_field(self): # A function to return the attributes of our email field. get_field_element = self.client.find_element_by_xpath('//*[@id="email"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[1]/label') email_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return email_field_attributes def type_in_email_form(self, input_to_type=user_email): # A function to type text into our email form box. # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_email_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def clear_email_form(self): # Retrieve our form attributes. get_field_element = self.get_email_field()['field element'] get_field_element.clear() # Clears our form. def get_new_password_field(self): # A function to return the attributes of our new password field. get_field_element = self.client.find_element_by_xpath('//*[@id="password"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[2]/label') new_password_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return new_password_field_attributes def type_in_new_password_field(self, input_to_type=user_password): # A function to type text into our password form box. # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_new_password_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def clear_new_password_field(self): # Retrieve our form attributes. get_field_element = self.get_new_password_field()['field element'] get_field_element.clear() # Clears our form. def get_confirm_password_field(self): # A function to return the attributes of our confirm password field. get_field_element = self.client.find_element_by_xpath('//*[@id="confirm_password"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[3]/label') confirm_password_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return confirm_password_field_attributes def type_in_confirm_password_form(self, input_to_type=user_password): # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_confirm_password_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def clear_confirm_password_field(self): # Retrieve our form attributes. get_field_element = self.get_confirm_password_field()['field element'] get_field_element.clear() # Clears our form. def get_first_name_field(self): get_field_element = self.client.find_element_by_xpath('//*[@id="first_name"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[4]/label') first_name_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return first_name_field_attributes def type_in_first_name_form(self, input_to_type=user_first_name): # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_first_name_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def clear_first_name_field(self): # Retrieve our form attributes. get_field_element = self.get_new_password_field()['field element'] get_field_element.clear() # Clears our form. def get_last_name_field(self): get_field_element = self.client.find_element_by_xpath('//*[@id="last_name"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[5]/label') last_name_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return last_name_field_attributes def type_in_last_name_form(self, input_to_type=user_last_name): # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_last_name_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def get_bacp_field(self): # A function to return the attributes of our username register field. get_field_element = self.client.find_element_by_xpath('//*[@id="bacp_number"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[6]/label') bacp_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return bacp_field_attributes def type_in_bacp_form(self, input_to_type=bacp_number): # A function to type text into our bacp form box. # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_bacp_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def get_phone_number_field(self): get_field_element = self.client.find_element_by_xpath('//*[@id="phone_number"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[7]/label') phone_number_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return phone_number_field_attributes def type_in_phone_number_form(self, input_to_type=user_phone_number): # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_phone_number_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def get_postcode_field(self): get_field_element = self.client.find_element_by_xpath('//*[@id="postcode"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[8]/label') postcode_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return postcode_field_attributes def type_in_postcode_form(self, input_to_type=user_postcode): # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_postcode_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def get_psychiatrist_bio_field(self): get_field_element = self.client.find_element_by_xpath('//*[@id="psychiatrist_bio"]') get_label_element = self.client.find_element_by_xpath('/html/body/div[2]/form/div[9]/label') psychiatrist_bio_field_attributes = { 'field element': get_field_element, 'label name': get_label_element.get_attribute('innerHTML'), 'label element': get_label_element } return psychiatrist_bio_field_attributes def type_in_psychiatrist_bio_form(self, input_to_type=psychiatrist_bio): # Retrieve our form attributes. get_field_attributes = PsychiatristRegisterPageObject.get_psychiatrist_bio_field(self) get_field_element = get_field_attributes['field element'] get_field_label = get_field_attributes['label name'] # After retrieving the field element, simulate typing into a form box. get_field_element.send_keys(input_to_type) print(f"Running Simulation: Currently typing '{input_to_type}' in the {get_field_label} field.") def get_submit_button(self): get_button_element = self.client.find_element_by_xpath('//*[@id="submit"]') submit_button_attributes = { 'button label': get_button_element.get_attribute('innerHTML'), 'button element': get_button_element } return submit_button_attributes def click_submit_button(self): get_submit_button_element = self.get_submit_button()['button element'] get_submit_button_element.click() def get_already_registered_button(self): get_button_element = self.client.find_element_by_xpath('/html/body/a[1]') already_registered_button_attributes = { 'button label': get_button_element.get_attribute('innerHTML'), 'button element': get_button_element } return already_registered_button_attributes def click_already_registered_button(self): get_already_registered_button_element = self.get_already_registered_button()['button element'] get_already_registered_button_element.click() def get_register_as_patient_button(self): get_button_element = self.client.find_element_by_xpath('/html/body/a[2]') register_as_patient_button_attributes = { 'button label': get_button_element.get_attribute('innerHTML'), 'button element': get_button_element } return register_as_patient_button_attributes def click_register_as_patient_button(self): get_register_as_patient_button_element = self.get_register_as_patient_button()['button element'] get_register_as_patient_button_element.click()

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Python

dlkit/abstract_osid/locale/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

2

2018-02-23T12:16:11.000Z

2020-10-08T17:54:24.000Z

dlkit/abstract_osid/locale/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

87

2017-04-21T18:57:15.000Z

2021-12-13T19:43:57.000Z

dlkit/abstract_osid/locale/sessions.py

UOC/dlkit

a9d265db67e81b9e0f405457464e762e2c03f769

[ "MIT" ]

1

2018-03-01T16:44:25.000Z

"""Implementations of locale abstract base class sessions.""" # pylint: disable=invalid-name # Method names comply with OSID specification. # pylint: disable=no-init # Abstract classes do not define __init__. # pylint: disable=too-few-public-methods # Some interfaces are specified as 'markers' and include no methods. # pylint: disable=too-many-public-methods # Number of methods are defined in specification # pylint: disable=too-many-ancestors # Inheritance defined in specification # pylint: disable=too-many-arguments # Argument signature defined in specification. # pylint: disable=duplicate-code # All apparent duplicates have been inspected. They aren't. import abc class TranslationSession: """This session defines methods to translate text between a source and target locale.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_language_type(self): """Gets the source language used in this session. :return: the source language :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_language_type = property(fget=get_source_language_type) @abc.abstractmethod def get_source_script_type(self): """Gets the source script used in this session. :return: the source script :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_script_type = property(fget=get_source_script_type) @abc.abstractmethod def get_target_language_type(self): """Gets the target language used in this session. :return: the target language :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_language_type = property(fget=get_target_language_type) @abc.abstractmethod def get_target_script_type(self): """Gets the target script used in this session. :return: the target script :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_script_type = property(fget=get_target_script_type) @abc.abstractmethod def can_translate(self): """Tests if this user can perform language translations. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if translation methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_translation(self, string): """Translates the given string into the target language. :param string: the ``string`` to translate :type string: ``string`` :return: the translated ``string`` :rtype: ``string`` :raise: ``NotFound`` -- no translation found :raise: ``NullArgument`` -- ``null`` argument provided :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def translate_string(self, string, default_string): """Translates the given string into the target language. :param string: the ``string`` to translate :type string: ``string`` :param default_string: the default ``string`` if no translation available. :type default_string: ``string`` :return: the translated ``string`` or the given default value if no translation available. :rtype: ``string`` :raise: ``NullArgument`` -- ``null`` argument provided :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def translate_strings(self, strings, default_strings): """Translates the given strings into the target language. :param strings: the ``string`` to translate :type strings: ``string[]`` :param default_strings: the default ``string`` if no translation available. :type default_strings: ``string[]`` :return: the translated ``strings`` or the given default value if no translation available. :rtype: ``string`` :raise: ``NullArgument`` -- ``null`` argument provided :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string class TranslationAdminSession: """This session defines methods to translate and format text between a source and target locale.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_language_type(self): """Gets the source language used in this session. :return: the source language :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_language_type = property(fget=get_source_language_type) @abc.abstractmethod def get_source_script_type(self): """Gets the source script used in this session. :return: the source script :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_script_type = property(fget=get_source_script_type) @abc.abstractmethod def get_target_language_type(self): """Gets the target language used in this session. :return: the target language :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_language_type = property(fget=get_target_language_type) @abc.abstractmethod def get_target_script_type(self): """Gets the target script used in this session. :return: the target script :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_script_type = property(fget=get_target_script_type) @abc.abstractmethod def can_update_translation(self): """Tests if this user can update localization strings. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer notification operations. :return: ``false`` if changing translation is not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def add_translation(self, source_text, target_text): """Adds or updates a string translation. :param source_text: the source ``string`` :type source_text: ``string`` :param target_text: the translated string :type target_text: ``string`` :raise: ``NullArgument`` -- ``source_text`` or ``target_text`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass @abc.abstractmethod def remove_translation(self, source_text): """Removes a translation. :param source_text: the source ``string`` :type source_text: ``string`` :raise: ``NullArgument`` -- ``source_text`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ pass class NumericFormattingSession: """This session defines methods to format and parse numbers.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_numeric_format_type(self): """Gets the numeric format type used in this session. The numeric format type indicates the format of a number used in a culture, such as the use of a period for a decimal place. :return: the target language :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type numeric_format_type = property(fget=get_numeric_format_type) @abc.abstractmethod def can_format_numbers(self): """Tests if this user can format and parse numbers. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if translation methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def cardinal_to_string(self, c): """Gets a string representation of a cardinal. :param c: a cardinal value :type c: ``cardinal`` :return: the display string :rtype: ``string`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def cardinals_to_strings(self, c): """Gets a string representation of an array of cardinals. :param c: a cardinal value array :type c: ``cardinal[]`` :return: the display strings :rtype: ``string`` :raise: ``NullArgument`` -- ``c`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def string_to_cardinal(self, str_): """Parses a cardinal string. :param str: a cardinal string :type str: ``string`` :return: the cardinal value :rtype: ``cardinal`` :raise: ``InvalidArgument`` -- ``str`` not of ``get_numeric_format_type()`` :raise: ``NullArgument`` -- ``str`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # cardinal @abc.abstractmethod def decimal_to_string(self, d): """Gets a string representation of a decimal. :param d: a decimal value :type d: ``decimal`` :return: the display string :rtype: ``string`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def decimals_to_strings(self, d): """Gets a string representation of an array of decimals. :param d: a decimals value array :type d: ``decimal[]`` :return: the display strings :rtype: ``string`` :raise: ``NullArgument`` -- ``d`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def decimal_to_string(self, str_): """Parses a decimal string. :param str: a decimal string :type str: ``string`` :return: the decimal value :rtype: ``decimal`` :raise: ``InvalidArgument`` -- ``str`` not of ``get_numeric_format_type()`` :raise: ``NullArgument`` -- ``str`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # decimal @abc.abstractmethod def integer_to_string(self, i): """Gets a string representation of a integer. :param i: an integer value :type i: ``integer`` :return: the display string :rtype: ``string`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def integers_to_strings(self, i): """Gets a string representation of an array of integers. :param i: an integer value array :type i: ``integer[]`` :return: the display strings :rtype: ``string`` :raise: ``NullArgument`` -- ``i`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def integer_to_string(self, str_): """Parses an integer string. :param str: an integer string :type str: ``string`` :return: the integer value :rtype: ``integer`` :raise: ``InvalidArgument`` -- ``str`` not of ``get_numeric_format_type()`` :raise: ``NullArgument`` -- ``str`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # integer class CalendarFormattingSession: """This session defines methods to format and parse date times of the calendar and time type defined.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_calendar_type(self): """Gets the calendar type for the datetimes used in this session. :return: the calendar type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type calendar_type = property(fget=get_calendar_type) @abc.abstractmethod def get_time_type(self): """Gets the time type for the times used in this session. :return: the time type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type time_type = property(fget=get_time_type) @abc.abstractmethod def get_date_format_type(self): """Gets the date format type used in this session. :return: the target language :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type date_format_type = property(fget=get_date_format_type) @abc.abstractmethod def get_time_format_type(self): """Gets the time format type used in this session. :return: the target script :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type time_format_type = property(fget=get_time_format_type) @abc.abstractmethod def can_display_primitives(self): """Tests if this user can format and parse date times. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if translation methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def datetime_to_string(self, datetime): """Gets a string representation of a datetime. :param datetime: a datetime value :type datetime: ``osid.calendaring.DateTime`` :return: the display string :rtype: ``string`` :raise: ``InvalidArgument`` -- ``datetime.get_calendar_type() != get_calendar_type()`` or ``datetime.get_time_type() != get_time_type()`` :raise: ``NullArgument`` -- ``datetime`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def datetimes_to_strings(self, datetimes): """Gets a string representation of a list of datetimes. :param datetimes: a datetime value list :type datetimes: ``osid.calendaring.DateTimeList`` :return: the display strings :rtype: ``string`` :raise: ``InvalidArgument`` -- ``datetime.get_calendar_type() != get_calendar_type()`` or ``datetime.get_time_type() != get_time_type()`` :raise: ``NullArgument`` -- ``datetimes`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def string_to_date_time(self, s): """Parses a date time string. :param s: a datetime string :type s: ``string`` :return: the date time value :rtype: ``osid.calendaring.DateTime`` :raise: ``InvalidArgument`` -- ``s`` is not of ``get_date_format_type()`` or ``s`` is not of ``get_time_format_type()`` :raise: ``NullArgument`` -- ``s`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.calendaring.DateTime @abc.abstractmethod def time_to_string(self, time): """Gets a string representation of a time. :param time: a time value :type time: ``osid.calendaring.Time`` :return: the display string :rtype: ``string`` :raise: ``InvalidArgument`` -- ``time.get_time_type() != get_time_type()`` :raise: ``NullArgument`` -- ``time`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def times_to_strings(self, times): """Gets a string representation of a list of times. :param times: a time value list :type times: ``osid.calendaring.TimeList`` :return: the display strings :rtype: ``string`` :raise: ``InvalidArgument`` -- ``time.get_time_type()`` != ``get_time_type()`` :raise: ``NullArgument`` -- ``times`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def string_to_time(self, s): """Parses a time string. :param s: a time string :type s: ``string`` :return: the time value :rtype: ``osid.calendaring.Time`` :raise: ``InvalidArgument`` -- ``s`` is not of ``get_time_format_type()`` :raise: ``NullArgument`` -- ``s`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.calendaring.Time @abc.abstractmethod def duration_to_string(self, duration): """Gets a string representation of a duration. :param duration: a duration value :type duration: ``osid.calendaring.Duration`` :return: the display string :rtype: ``string`` :raise: ``InvalidArgument`` -- ``duration.get_calendar_type() !=`` ``get_calendar_type()`` or ``duration.get_time_type() != get_time_type()`` :raise: ``NullArgument`` -- ``duration`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def durations_to_strings(self, durations): """Gets a string representation of a list of durations. :param durations: a duration value list :type durations: ``osid.calendaring.DurationList`` :return: the display strings :rtype: ``string`` :raise: ``InvalidArgument`` -- ``duration.get_calendar_type() !=`` ``get_calendar_type()`` or ``duration.get_time_type() != get_time_type()`` :raise: ``NullArgument`` -- ``durations`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def string_to_duration(self, s): """Parses a duration string. :param s: a duration string :type s: ``string`` :return: the duration value :rtype: ``osid.calendaring.Duration`` :raise: ``InvalidArgument`` -- ``s`` is not of ``get_date_format_type()`` or ``s`` is not of ``get_time_format_type()`` :raise: ``NullArgument`` -- ``s`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.calendaring.Duration class CurrencyFormattingSession: """This session defines methods to format and parse currency amounts.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_currency_type(self): """Gets the currency type for amounts used in this session. :return: the currency type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type currency_type = property(fget=get_currency_type) @abc.abstractmethod def get_numeric_format_type(self): """Gets the numeric format type for the amounts used in this session. :return: the numeric format type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type numeric_format_type = property(fget=get_numeric_format_type) @abc.abstractmethod def can_format_currencies(self): """Tests if this user can format and parse currencies. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if translation methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def currency_to_string(self, amount): """Gets a string representation of a currency including the currency symbol indicated by the currency type. :param amount: a currency value :type amount: ``osid.financials.Currency`` :return: the display string :rtype: ``string`` :raise: ``InvalidArgument`` -- ``amount.get_currency_type() != get_currency_type()`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def currencies_to_strings(self, amounts): """Gets a string representation of a list of currency amounts including the currency symbols indicated by the currency type. :param amounts: an array of amounts :type amounts: ``osid.financials.Currency[]`` :return: the display strings :rtype: ``string`` :raise: ``InvalidArgument`` -- ``amount.get_currency_type() != get_currency_type()`` :raise: ``NullArgument`` -- ``amounts`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def string_to_currency(self, s): """Parses a currency amount. :param s: a currency string :type s: ``string`` :return: the currency amount :rtype: ``osid.financials.Currency`` :raise: ``InvalidArgument`` -- s is not of ``get_currency_type()`` or s is not of ``get_numeric_format_type()`` :raise: ``NullArgument`` -- ``s`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.financials.Currency class CoordinateFormattingSession: """This session defines methods to format and parse coordinates.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_coordinate_type(self): """Gets the coordinate type used in this session. :return: the coordinate type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type coordinate_type = property(fget=get_coordinate_type) @abc.abstractmethod def get_coordinate_format_type(self): """Gets the coordinate format type used in this session. :return: the coordinate format type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type coordinate_format_type = property(fget=get_coordinate_format_type) @abc.abstractmethod def can_format_coordinates(self): """Tests if this user can format and parse coordinates. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if translation methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def coordinate_to_string(self, coordinate): """Gets a string representation of a coordinate. :param coordinate: a coordinate value :type coordinate: ``osid.mapping.Coordinate`` :return: the display string :rtype: ``string`` :raise: ``InvalidArgument`` -- ``coodrinate.has_record_type(get_coordinate_record_type()`` ) is ``false`` :raise: ``NullArgument`` -- ``coordinate`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def ccoordinates_to_strings(self, coordinates): """Gets a string representation of a list of coordinates. :param coordinates: a list of coordinates :type coordinates: ``osid.mapping.CoordinateList`` :return: the display strings :rtype: ``string`` :raise: ``InvalidArgument`` -- ``coodrinate.has_record_type(get_coordinate_record_type()`` ) is ``false`` :raise: ``NullArgument`` -- ``coordinates`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def string_to_coordinate(self, s): """Parses a coordinate. :param s: a coordinate string :type s: ``string`` :return: the display string :rtype: ``osid.mapping.Coordinate`` :raise: ``InvalidArgument`` -- ``s`` is not of ``get_coordinate_format_type()`` :raise: ``NullArgument`` -- ``s`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.Coordinate class UnitConversionSession: """This session defines methods to convert units across measurement systems.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def can_convert_units(self): """Tests if this user can perform unit conversions. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def convert_unit(self, source_unit, source_unit_type, target_unit_type): """Convert a unit of measurement. :param source_unit: the measure to convert :type source_unit: ``decimal`` :param source_unit_type: the type of measure specified :type source_unit_type: ``osid.type.Type`` :param target_unit_type: the type of converted measure :type target_unit_type: ``osid.type.Type`` :return: resulting measure :rtype: ``decimal`` :raise: ``NullArgument`` -- ``null`` argument provided :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``LocaleManager.supportsUnitTypesForConversion(measureType, conversionType)`` is false *compliance: mandatory -- This method must be implemented.* """ return # decimal @abc.abstractmethod def convert_units(self, source_units, source_unit_type, target_unit_type): """Convert units of measurement. :param source_units: the measures to convert :type source_units: ``decimal[]`` :param source_unit_type: the type of measure specified :type source_unit_type: ``osid.type.Type`` :param target_unit_type: the type of converted measure :type target_unit_type: ``osid.type.Type`` :return: resulting measures :rtype: ``decimal`` :raise: ``NullArgument`` -- ``null`` argument provided :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure :raise: ``Unsupported`` -- ``LocaleManager.supportsUnitTypesForConversion(measureType, conversionType)`` is false *compliance: mandatory -- This method must be implemented.* """ return # decimal class CurrencyConversionSession: """This session defines methods to convert currency.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_currency_type(self): """Gets the source currency type used in this session. :return: the source currency :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_currency_type = property(fget=get_source_currency_type) @abc.abstractmethod def get_target_currency_type(self): """Gets the target currency type used in this session. :return: the target currency :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_currency_type = property(fget=get_target_currency_type) @abc.abstractmethod def can_convert_currency(self): """Tests if this user can perform currency conversions. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def convert_currency(self, source_currency_amount): """Converts currency. :param source_currency_amount: the currency amount to convert :type source_currency_amount: ``osid.financials.Currency`` :return: resulting currency units :rtype: ``osid.financials.Currency`` :raise: ``InvalidArgument`` -- ``sourceCurrencyAmount.get_currency_type() != get_sourcecurrency_type()`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.financials.Currency @abc.abstractmethod def convert_currencies(self, source_currency_amounts): """Converts currencies. :param source_currency_amounts: the currency amounts to convert :type source_currency_amounts: ``osid.financials.Currency[]`` :return: resulting currency units :rtype: ``osid.financials.Currency`` :raise: ``InvalidArgument`` -- ``sourceCurrencyAmount.get_currency_type() != get_sourcecurrency_type()`` :raise: ``NullArgument`` -- ``source_currency_amounts`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.financials.Currency class CalendarConversionSession: """This session defines methods to convert dates across calendar systems.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_calendar_type(self): """Gets the source calendar type used in this session. :return: the source calendar type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_calendar_type = property(fget=get_source_calendar_type) @abc.abstractmethod def get_source_time_type(self): """Gets the source time type used in this session. :return: the source time type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_time_type = property(fget=get_source_time_type) @abc.abstractmethod def get_target_calendar_type(self): """Gets the target calendar type used in this session. :return: the target calendar :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_calendar_type = property(fget=get_target_calendar_type) @abc.abstractmethod def get_target_time_type(self): """Gets the target time type used in this session. :return: the target time type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_time_type = property(fget=get_target_time_type) @abc.abstractmethod def can_convert_calendars(self): """Tests if this user can perform calendar conversions. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def convert_calendar(self, source_date): """Converts a date. :param source_date: the date to convert :type source_date: ``osid.calendaring.DateTime`` :return: the resulting date :rtype: ``osid.calendaring.DateTime`` :raise: ``InvalidArgument`` -- ``sourceDate.get_calendar_type() != get_source_calendar_type()`` or ``sourceDate.get_time_type() != get_source_time_type()`` :raise: ``NullArgument`` -- ``source_date`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.calendaring.DateTime @abc.abstractmethod def convert_calendars(self, source_date_list): """Converts dates. :param source_date_list: the dates to convert :type source_date_list: ``osid.calendaring.DateTimeList`` :return: the resulting dates :rtype: ``osid.calendaring.DateTimeList`` :raise: ``InvalidArgument`` -- ``sourceDate.get_calendar_type() != get_source_calendar_type()`` or ``sourceDate.get_time_type() != get_source_time_type()`` :raise: ``NullArgument`` -- ``source_date_list`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.calendaring.DateTimeList class CoordinateConversionSession: """This session defines methods to convert coordinates across coordinate systems.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_coordinate_type(self): """Gets the source coordinate type used in this session. :return: the source coordinate type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_coordinate_type = property(fget=get_source_coordinate_type) @abc.abstractmethod def get_target_coordinate_type(self): """Gets the target coordinate type used in this session. :return: the target coordinate type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_coordinate_type = property(fget=get_target_coordinate_type) @abc.abstractmethod def can_convert_coordinates(self): """Tests if this user can perform coordinate conversions. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def convert_coordinate(self, source_coordinate): """Converts a coordinate. :param source_coordinate: the coordinate to convert :type source_coordinate: ``osid.mapping.Coordinate`` :return: the resulting coordinate :rtype: ``osid.mapping.Coordinate`` :raise: ``InvalidArgument`` -- ``sourceCoordinate.has_type(get_source_coordinate_record_type())`` is ``false`` :raise: ``NullArgument`` -- ``source_coordinate`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.Coordinate @abc.abstractmethod def convert_coordinates(self, source_coordinate_list): """Converts coordinates. :param source_coordinate_list: the coordinates to convert :type source_coordinate_list: ``osid.mapping.CoordinateList`` :return: the resulting coordinates :rtype: ``osid.mapping.CoordinateList`` :raise: ``InvalidArgument`` -- ``sourceCoordinate.has_type(get_source_coordinate_record_type())`` is ``false`` :raise: ``NullArgument`` -- ``source_coordinate_list`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.CoordinateList class SpatialUnitConversionSession: """This session defines methods to convert spatial units.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_spatial_unit_record_type(self): """Gets the source spatial unit record type used in this session. :return: the source spatial unit record type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_spatial_unit_record_type = property(fget=get_source_spatial_unit_record_type) @abc.abstractmethod def get_target_spatial_unit_record_type(self): """Gets the target spatial unit record type used in this session. :return: the target spatial unit record type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_spatial_unit_record_type = property(fget=get_target_spatial_unit_record_type) @abc.abstractmethod def can_convert_spatial_units(self): """Tests if this user can perform spatial unit conversions. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def convert_spatial_unit(self, source_spatial_unit): """Converts a spatial unit. :param source_spatial_unit: the spatial unit to convert :type source_spatial_unit: ``osid.mapping.SpatialUnit`` :return: the resulting spatial unit :rtype: ``osid.mapping.SpatialUnit`` :raise: ``InvalidArgument`` -- ``sourceSpatialUnit.has_type(get_source_spatial_unit_record_type())`` is ``false`` :raise: ``NullArgument`` -- ``source_spatial_unit`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.SpatialUnit @abc.abstractmethod def convert_spatial_units(self, source_spatial_unit_list): """Converts spatial units. :param source_spatial_unit_list: the spatial units to convert :type source_spatial_unit_list: ``osid.mapping.SpatialUnitList`` :return: the resulting spatial units :rtype: ``osid.mapping.SpatialUnitList`` :raise: ``InvalidArgument`` -- ``sourceSpatialUnit.has_type(get_source_spatial_unit_record_type())`` is ``false`` :raise: ``NullArgument`` -- ``source_spatial_unit_list`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.mapping.SpatialUnitList class FormatConversionSession: """This session defines methods to convert text formats.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_source_format_type(self): """Gets the source format type used in this session. :return: the source text format type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type source_format_type = property(fget=get_source_format_type) @abc.abstractmethod def get_target_format_type(self): """Gets the target format type used in this session. :return: the target text formattype :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type target_format_type = property(fget=get_target_format_type) @abc.abstractmethod def can_convert_formats(self): """Tests if this user can perform text format. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def convert_format(self, source_text): """Converts a format. :param source_text: the string to convert :type source_text: ``string`` :return: the resulting string :rtype: ``string`` :raise: ``InvalidArgument`` -- ``source_text`` not of source format :raise: ``NullArgument`` -- ``source_text`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string @abc.abstractmethod def convert_formats(self, source_texts): """Converts formats. :param source_texts: the strings to convert :type source_texts: ``string[]`` :return: the resulting strings :rtype: ``string`` :raise: ``InvalidArgument`` -- a ``source_text not of source format`` :raise: ``NullArgument`` -- ``source_texts`` is ``null`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # string class CalendarInfoSession: """This session defines methods to examine a calendar.""" __metaclass__ = abc.ABCMeta @abc.abstractmethod def get_calendar_type(self): """Gets the calendar type for the calendar system informational methods in this session. :return: the calendar type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type calendar_type = property(fget=get_calendar_type) @abc.abstractmethod def get_time_type(self): """Gets the time system type for the time system informational methods in this session. :return: the time type :rtype: ``osid.type.Type`` *compliance: mandatory -- This method must be implemented.* """ return # osid.type.Type time_type = property(fget=get_time_type) @abc.abstractmethod def can_examine_calendars(self): """Tests if this user can perform calendar inspections. A return of true does not guarantee successful authorization. A return of false indicates that it is known all methods in this session will result in a ``PermissionDenied``. This is intended as a hint to an application that may opt not to offer lookup operations. :return: ``false`` if conversion methods are not authorized, ``true`` otherwise :rtype: ``boolean`` *compliance: mandatory -- This method must be implemented.* """ return # boolean @abc.abstractmethod def get_calendar_info(self): """Gets information about the calendar. :return: calendar information :rtype: ``osid.locale.CalendarInfo`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.locale.CalendarInfo calendar_info = property(fget=get_calendar_info) @abc.abstractmethod def get_time_info(self): """Gets information about the time system. :return: time information :rtype: ``osid.locale.TimeInfo`` :raise: ``OperationFailed`` -- unable to complete request :raise: ``PermissionDenied`` -- authorization failure *compliance: mandatory -- This method must be implemented.* """ return # osid.locale.TimeInfo time_info = property(fget=get_time_info)

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py

Python

src/game/AI/test_ai.py

insoPL/QtDraughts

62368e6523bf3dd50752ae5dffc65e946775f58d

[ "MIT" ]

null

src/game/AI/test_ai.py

insoPL/QtDraughts

62368e6523bf3dd50752ae5dffc65e946775f58d

[ "MIT" ]

null

src/game/AI/test_ai.py

insoPL/QtDraughts

62368e6523bf3dd50752ae5dffc65e946775f58d

[ "MIT" ]

null

# -*- coding: utf-8 -*- from game.AI import ai_test from game.AI import _ai_rek_another_attack_in_a_row from tools import * from settings import Settings class TestAi: def test_no_possible_movement_empty_board(self): default_settings = Settings(default=True) tested_board = ListOfPieces([], []) asserted_board = ListOfPieces([], []) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_no_possible_movement_end_of_board(self): default_settings = Settings(default=True) tested_board = ListOfPieces([], [(2, 0)]) asserted_board = ListOfPieces([], [(2, 0)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board tested_board = ListOfPieces([(0, 0), (2, 0)], [(1, 1)]) asserted_board = ListOfPieces([(0, 0), (2, 0)], [(1, 1)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_simple_move(self): default_settings = Settings(default=True) tested_board = ListOfPieces([], [(7,7)]) asserted_board = ListOfPieces([], [(6,6)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board tested_board = ListOfPieces([(0,6)], [(1,7)]) asserted_board = ListOfPieces([(0,6)], [(2,6)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_simple_attack_move(self): default_settings = Settings(default=True) tested_board = ListOfPieces([(1,1)],[(2,2)]) asserted_board = ListOfPieces([],[(0,0)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board tested_board = ListOfPieces([(7,3),(5,3)],[(6,4)]) asserted_board = ListOfPieces([(7,3)],[(4,2)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_not_making_losing_moves(self): default_settings = Settings(default=True) tested_board = ListOfPieces([(1,1)],[(3,3)]) asserted_board = ListOfPieces([(1,1)],[(4,2)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board tested_board = ListOfPieces([(2,2),(1,1)],[(3,3),(7,7)]) asserted_board = ListOfPieces([(2,2),(1,1)],[(4,2),(7,7)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_guessing_enemy_moves(self): default_settings = Settings(default=True) tested_board = ListOfPieces([(0,0),(2,2),(4,2)],[(3,3)]) asserted_board = ListOfPieces([(0,0),(2,2)],[(5,1)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_multiple_attack(self): default_settings = Settings(default=True) tested_board = ListOfPieces([(1,1),(3,3),(5,3)],[(4,4)]) asserted_board = ListOfPieces([(5,3)],[(0,0)]) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_multiple_attack_recursive_function(self): wynik = _ai_rek_another_attack_in_a_row([(1, 1), (3, 3)], [(4, 4)], Color.black, (4, 4)) assert wynik == ((0,0),[(3,3),(1,1)]) wynik = _ai_rek_another_attack_in_a_row([(1, 1), (3, 3), (5, 3)], [(4, 4)], Color.black, (4, 4)) assert wynik == ((0,0),[(3,3),(1,1)]) def test_setting_force_attack(self): default_settings = Settings(default=True) tested_board = """" +---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | |w| |b| | | | | |-+-+-+-+-+-+-+-+ | | |w| | | | | | |-+-+-+-+-+-+-+-+ | | | |b| |b| | | |-+-+-+-+-+-+-+-+ |w| |w| | | | | | +---------------+""" asserted_board = """"+---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | |w| | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | |b| |b| |b| | | |-+-+-+-+-+-+-+-+ |w| |w| | | | | | +---------------+""" tested_board = str_to_cords(tested_board) asserted_board = str_to_cords(asserted_board) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board default_settings.force_attack=False tested_board = """" +---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | |w| |b| | | | | |-+-+-+-+-+-+-+-+ | | |w| | | | | | |-+-+-+-+-+-+-+-+ | | | |b| |b| | | |-+-+-+-+-+-+-+-+ |w| |w| | | | | | +---------------+""" asserted_board = """"+---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | |w| |b| | | | | |-+-+-+-+-+-+-+-+ | | |w| | | | | | |-+-+-+-+-+-+-+-+ | | | | | |b| | | |-+-+-+-+-+-+-+-+ |w| |w| |b| | | | +---------------+""" tested_board = str_to_cords(tested_board) asserted_board = str_to_cords(asserted_board) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board def test_setting_multiple_attack(self): default_settings = Settings(default=True) tested_board = """" +---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | |b| | | | |-+-+-+-+-+-+-+-+ | | | |w| |w| | | |-+-+-+-+-+-+-+-+ | | | | | | |w| | |-+-+-+-+-+-+-+-+ | |w| | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | +---------------+""" asserted_board = """"+---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | |w| | | |-+-+-+-+-+-+-+-+ | | | | | | |w| | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ |b| | | | | | | | +---------------+""" tested_board = str_to_cords(tested_board) asserted_board = str_to_cords(asserted_board) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board default_settings.multiple_attack=False tested_board = """" +---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | |b| | | | |-+-+-+-+-+-+-+-+ | | | |w| |w| | | |-+-+-+-+-+-+-+-+ | | | | | | |w| | |-+-+-+-+-+-+-+-+ | |w| | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | +---------------+""" asserted_board = """"+---------------+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | |-+-+-+-+-+-+-+-+ | | | | | |w| | | |-+-+-+-+-+-+-+-+ | | |b| | | |w| | |-+-+-+-+-+-+-+-+ | |w| | | | | | | |-+-+-+-+-+-+-+-+ | | | | | | | | | +---------------+""" tested_board = str_to_cords(tested_board) asserted_board = str_to_cords(asserted_board) ai_move = ai_test(tested_board.white_pieces, tested_board.black_pieces, default_settings) tested_board.apply_move(ai_move) assert tested_board == asserted_board

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