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How to use loadTarget method in green
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basic-popup-and-iframe-tests.https.js
Source:basic-popup-and-iframe-tests.https.js 
1/**2 * This test checks the Secure Context state of documents for various3 * permutations of document URI types and loading methods.4 *5 * The hierarchy that is tested is:6 *7 * creator-doc > createe-doc8 *9 * The creator-doc is one of:10 *11 * http:12 * https:13 *14 * The createe-doc is loaded as either a:15 *16 * popup17 * iframe18 * sandboxed-iframe19 *20 * into which we load and test:21 *22 * http:23 * https:24 * blob:25 * javascript:26 * about:blank27 * initial about:blank28 * srcdoc29 *30 * TODO once web-platform-tests supports it:31 * - test http://localhost32 * - test file:33 *34 * TODO once https://github.com/w3c/webappsec-secure-contexts/issues/26 is resolved35 * - test data:36 */37setup({explicit_done:true});38const host_and_dirname = location.host +39 location.pathname.substr(0, location.pathname.lastIndexOf("/") + 1);40// Flags to indicate where document types should be loaded for testing:41const eLoadInPopup = (1 << 0);42const eLoadInUnsandboxedIframe = (1 << 1);43const eLoadInSandboxedIframe = (1 << 2);44const eLoadInEverything = eLoadInPopup | eLoadInUnsandboxedIframe | eLoadInSandboxedIframe;45// Flags indicating if a document type is expected to be a Secure Context:46const eSecureNo = 1;47const eSecureIfCreatorSecure = 2;48// Flags indicating how the result of a test is obtained:49const eResultFromPostMessage = 1;50const eResultFromExaminationOnLoad = 2;51const eResultFromExaminationSync = 3;52const loadTypes = [53 new LoadType("an http: URI",54 eLoadInEverything,55 http_dir + "postMessage-helper.html",56 eSecureNo,57 eResultFromPostMessage),58 new LoadType("an https: URI",59 eLoadInEverything,60 https_dir + "postMessage-helper.https.html",61 eSecureIfCreatorSecure,62 eResultFromPostMessage),63 new LoadType("a blob: URI",64 eLoadInEverything,65 URL.createObjectURL(new Blob(["<script>(opener||parent).postMessage(isSecureContext, '*')</script>"])),66 eSecureIfCreatorSecure,67 eResultFromPostMessage),68 new LoadType("a srcdoc",69 // popup not relevant:70 eLoadInUnsandboxedIframe | eLoadInSandboxedIframe,71 "<script>(opener||parent).postMessage(isSecureContext, '*')</script>",72 eSecureIfCreatorSecure,73 eResultFromPostMessage),74 new LoadType("a javascript: URI",75 // can't load in sandbox:76 eLoadInUnsandboxedIframe | eLoadInPopup,77 "javascript:(opener||parent).postMessage(isSecureContext, '*')",78 eSecureIfCreatorSecure,79 eResultFromPostMessage),80 new LoadType("about:blank",81 // can't obtain state if sandboxed:82 eLoadInUnsandboxedIframe | eLoadInPopup,83 "about:blank",84 eSecureIfCreatorSecure,85 eResultFromExaminationOnLoad),86 new LoadType("initial about:blank",87 // can't obtain state if sandboxed:88 eLoadInUnsandboxedIframe | eLoadInPopup,89 "about:blank", // we don't wait for this to load, so whatever90 eSecureIfCreatorSecure,91 eResultFromExaminationSync),92];93const loadTargets = [94 new LoadTarget("an iframe", eLoadInUnsandboxedIframe),95 new LoadTarget("a sandboxed iframe", eLoadInSandboxedIframe),96 new LoadTarget("a popup", eLoadInPopup),97];98function LoadType(description, loadInFlags, uri, expectedSecureFlag, resultFrom) {99 this.desc = description;100 this.loadInFlags = loadInFlags;101 this.uri = uri;102 this.expectedSecureFlag = expectedSecureFlag;103 this.resultFrom = resultFrom;104}105function LoadTarget(description, loadInFlag) {106 this.desc = description;107 this.loadInFlag = loadInFlag;108}109LoadTarget.prototype.open = function(loadType) {110 let loadTarget = this;111 this.currentTest.step(function() {112 assert_true((loadTarget.loadInFlag & loadType.loadInFlags) != 0,113 loadType.desc + " cannot be tested in " + loadTarget.desc);114 });115 if (this.loadInFlag == eLoadInUnsandboxedIframe) {116 let iframe = document.createElement("iframe");117 document.body.appendChild(iframe);118 iframe[loadType.desc == "a srcdoc" ? "srcdoc" : "src"] = loadType.uri;119 return iframe;120 }121 if (this.loadInFlag == eLoadInSandboxedIframe) {122 let iframe = document.body.appendChild(document.createElement("iframe"));123 iframe.setAttribute("sandbox", "allow-scripts");124 iframe[loadType.desc == "a srcdoc" ? "srcdoc" : "src"] = loadType.uri;125 return iframe;126 }127 if (this.loadInFlag == eLoadInPopup) {128 return window.open(loadType.uri);129 }130 this.currentTest.step(function() {131 assert_unreached("Unknown load type flag: " + loadInFlags);132 });133 return null;134}135LoadTarget.prototype.close = function(domTarget) {136 if (this.loadInFlag == eLoadInUnsandboxedIframe ||137 this.loadInFlag == eLoadInSandboxedIframe) {138 domTarget.remove();139 return;140 }141 if (this.loadInFlag == eLoadInPopup) {142 domTarget.close();143 return;144 }145 this.currentTest.step(function() {146 assert_unreached("Unknown load type flag: " + loadInFlags);147 });148}149LoadTarget.prototype.load_and_get_result_for = function(loadType) {150 if (!(loadType.loadInFlags & this.loadInFlag)) {151 return Promise.reject("not applicable");152 }153 if (!(this.loadInFlag & eLoadInPopup) &&154 location.protocol == "https:" &&155 loadType.uri.substr(0,5) == "http:") {156 // Mixed content blocker will prevent this load157 return Promise.reject("not applicable");158 }159 this.currentTest = async_test("Test Window.isSecureContext in " + this.desc +160 " loading " + loadType.desc)161 if (loadType.resultFrom == eResultFromExaminationSync) {162 let domTarget = this.open(loadType);163 let result = domTarget instanceof Window ?164 domTarget.isSecureContext : domTarget.contentWindow.isSecureContext;165 this.close(domTarget);166 return Promise.resolve(result);167 }168 let target = this;169 if (loadType.resultFrom == eResultFromExaminationOnLoad) {170 return new Promise(function(resolve, reject) {171 function handleLoad(event) {172 let result = domTarget instanceof Window ?173 domTarget.isSecureContext : domTarget.contentWindow.isSecureContext;174 domTarget.removeEventListener("load", handleLoad);175 target.close(domTarget);176 resolve(result);177 }178 let domTarget = target.open(loadType);179 domTarget.addEventListener("load", handleLoad, false);180 });181 }182 if (loadType.resultFrom == eResultFromPostMessage) {183 return new Promise(function(resolve, reject) {184 function handleMessage(event) {185 window.removeEventListener("message", handleMessage);186 target.close(domTarget);187 resolve(event.data);188 }189 window.addEventListener("message", handleMessage, false);190 let domTarget = target.open(loadType);191 });192 }193 return Promise.reject("unexpected 'result from' type");194}195let current_type_index = -1;196let current_target_index = 0;197function run_next_test() {198 current_type_index++;199 if (current_type_index >= loadTypes.length) {200 current_type_index = 0;201 current_target_index++;202 if (current_target_index >= loadTargets.length) {203 done();204 return; // all test permutations complete205 }206 }207 let loadTarget = loadTargets[current_target_index];208 let loadType = loadTypes[current_type_index];209 loadTarget.load_and_get_result_for(loadType).then(210 function(value) {211 run_next_test_soon();212 loadTarget.currentTest.step(function() {213 if (loadType.expectedSecureFlag == eSecureNo) {214 assert_false(value, loadType.desc + " in " + loadTarget.desc + " should not create a Secure Context");215 } else if (loadType.expectedSecureFlag == eSecureIfCreatorSecure) {216 if (!window.isSecureContext) {217 assert_false(value, loadType.desc + " in " + loadTarget.desc + " should not create a Secure Context when its creator is not a Secure Context.");218 } else {219 assert_true(value, loadType.desc + " in " + loadTarget.desc + " should create a Secure Context when its creator is a Secure Context");220 }221 } else {222 assert_unreached(loadType.desc + " - unknown expected secure flag: " + expectedSecureFlag);223 }224 loadTarget.currentTest.done();225 });226 },227 function(failReason) {228 run_next_test_soon();229 if (failReason == "not applicable") {230 return;231 }232 loadTarget.currentTest.step(function() {233 assert_unreached(loadType.desc + " - got unexpected rejected promise");234 });235 }236 );237}238function run_next_test_soon() {239 setTimeout(run_next_test, 0);240}241function begin() {242 test(function() {243 if (location.protocol == "http:") {244 assert_false(isSecureContext,245 "http: creator should not be a Secure Context");246 } else if (location.protocol == "https:") {247 assert_true(isSecureContext,248 "https: creator should be a Secure Context");249 } else {250 assert_unreached("Unknown location.protocol");251 }252 });253 run_next_test();...
agent_models.py
Source:agent_models.py
1# !/usr/bin/env python2# -*- coding:utf-8 _*-3# @Author: swang4# @Contact: wang00sheng@gmail.com5# @Project Name: D3QN6# @File: A2C.py7# @Time: 2021/10/29/22:548# @Software: PyCharm9import os10import numpy as np11import tensorflow as tf12import tensorflow.keras as keras13from tensorflow.keras.models import Model, Sequential14from tensorflow.keras.layers import Dense, Activation, Input, Conv2D, Flatten, Lambda, Add, BatchNormalization, Reshape15import tensorflow_probability as tfp16def FeatureExtractor(model_dir='../model/base_model/'):17 '''18 initialize a feature extractor for a d3qn RL agent.19 '''20 ckpt_dir = os.path.join(model_dir, 'feature_extractor', 'ckpt')21 fe = tf.keras.models.load_model(ckpt_dir)22 fe.trainable = False23 fe.compile()24 25 print('-' * 20, 'ResCNN_feature_extractor', '-' * 20, )26 fe.summary()27 28 return fe29def D3QN_Classifier(dueling=True, base_model_dir='../model/base_model/', loadTarget=False,30 load_d3qn_model=False, d3qn_model_dir='../model/d3qn_model/', based_on_base_model=True):31 def __init_d3qn_model__():32 print('-' * 20, 'Initializing a new D3QN model...', '-' * 20, )33 if based_on_base_model:34 print('-' * 20, 'Based on base_model\'s classifier...', '-' * 20, )35 base_classifier = tf.keras.models.load_model(base_ckpt_dir)36 conv, reshape = base_classifier.layers37 # input = base_classifier.input38 # base_classifier = Model(inputs=input, outputs=reshape(conv(input)))39 40 else:41 print('-' * 20, 'Even the classifier is initialized randomly...', '-' * 20, )42 base_classifier = Sequential([43 Input(shape=(30, 8, 82), name='feature_input'),44 Conv2D(1, kernel_size=(30, 1), strides=(1, 1), padding='valid', use_bias=True),45 Reshape((-1,)), ],46 name='output_conv')47 48 if dueling:49 # ------------------------------------- value network -------------------------------------------------#50 state_value = Conv2D(1, kernel_size=(30, 1), strides=(1, 1), padding='valid', use_bias=True,51 name='value_conv')(base_classifier.input)52 # state_value = BatchNormalization(axis=-1)(state_value)53 state_value = Reshape((-1,), name='value_reshape')(state_value)54 state_value = Dense(1, name='value_dense')(state_value)55 56 # ------------------------------------- advantage network -------------------------------------------------#57 action_advantage = base_classifier.output58 # kernel_constraint=max_norm(norm_rate))(feature_extraction.output)59 60 # ------------------------------------- add -------------------------------------------------#61 output = Add()([state_value, action_advantage])62 else:63 output = base_classifier.output64 # outputs = tf.keras.layers.Multiply()([output, [1, 1. / 2460]])65 output = Lambda(lambda x: x / 2460.)(output)66 return Model(inputs=base_classifier.input, outputs=output)67 68 def __load_d3qn_model__():69 try:70 print('-' * 20, 'Loading pre-trained D3QN classifier...', '-' * 20, )71 return tf.keras.models.load_model(d3qn_ckpt_dir)72 except Exception as e:73 print('Warning:', e)74 print('-' * 20, 'Fail to load the pre-trained D3QN model! An initialized model will be used!',75 '-' * 20, )76 return __init_d3qn_model__()77 78 # ------------------------------------- main procedure -------------------------------------------------#79 base_ckpt_dir = os.path.join(base_model_dir, 'classifier', 'ckpt')80 if loadTarget:81 d3qn_ckpt_dir = os.path.join(d3qn_model_dir, 'classifier', 'target_ckpt')82 else:83 d3qn_ckpt_dir = os.path.join(d3qn_model_dir, 'classifier', 'ckpt')84 85 if load_d3qn_model:86 d3qn_model = __load_d3qn_model__()87 else:88 d3qn_model = __init_d3qn_model__()89 90 if loadTarget:91 print('-' * 20, 'd3qn_target_classifier', '-' * 20, )92 else:93 print('-' * 20, 'd3qn_classifier', '-' * 20, )94 d3qn_model.summary()95 96 return d3qn_model97def SAC_actor(base_model_dir='../model/base_model/',98 load_sac_model=False, sac_model_dir='../model/sac_model/', based_on_base_model=True):99 def __init_sac_actor__():100 print('-' * 20, 'Initializing a new SAC_actor...', '-' * 20, )101 if based_on_base_model:102 print('-' * 20, 'Based on base_model\'s classifier...', '-' * 20, )103 base_classifier = tf.keras.models.load_model(base_ckpt_dir)104 else:105 print('-' * 20, 'Even the classifier is initialized randomly...', '-' * 20, )106 base_classifier = Sequential([107 Input(shape=(30, 8, 82), name='feature_input'),108 Conv2D(1, kernel_size=(30, 1), strides=(1, 1), padding='valid', use_bias=True),109 BatchNormalization(axis=-1), Reshape((-1,)), ],110 name='output_conv')111 112 output = Activation('softmax', name='softmax')(base_classifier.output)113 114 return Model(inputs=base_classifier.input, outputs=output)115 116 def __load_sac_actor__():117 try:118 print('-' * 20, 'Loading pre-trained sac_actor...', '-' * 20, )119 return tf.keras.models.load_model(sac_ckpt_dir)120 except Exception as e:121 print('Warning:', e)122 print('-' * 20, 'Fail to load the pre-trained sac_actor! An initialized model will be used!',123 '-' * 20, )124 return __init_sac_actor__()125 126 # ------------------------------------- main procedure -------------------------------------------------#127 base_ckpt_dir = os.path.join(base_model_dir, 'classifier', 'ckpt')128 sac_ckpt_dir = os.path.join(sac_model_dir, 'actor', 'ckpt')129 130 if load_sac_model:131 sac_actor = __load_sac_actor__()132 else:133 sac_actor = __init_sac_actor__()134 135 print('-' * 20, 'sac_actor', '-' * 20, )136 sac_actor.summary()137 138 return sac_actor139def SAC_critic(base_model_dir='../model/base_model/', load_sac_model=False, sac_model_dir='../model/sac_model/',140 based_on_base_model=True, index=None, loadTarget=False):141 def __init_sac_critic__():142 print('-' * 20, 'Initializing a new SAC_critic...', '-' * 20, )143 if based_on_base_model:144 print('-' * 20, 'Based on base_model\'s classifier...', '-' * 20, )145 base_classifier = tf.keras.models.load_model(base_ckpt_dir)146 else:147 print('-' * 20, 'Even the classifier is initialized randomly...', '-' * 20, )148 base_classifier = Sequential([149 Input(shape=(30, 8, 82), name='feature_input'),150 Conv2D(1, kernel_size=(30, 1), strides=(1, 1), padding='valid', use_bias=True),151 Reshape((-1,)), ],152 name='output_conv')153 154 return Model(inputs=base_classifier.input, outputs=base_classifier.output)155 156 def __load_sac_critic__():157 try:158 if loadTarget:159 print('-' * 20, 'Loading pre-trained target sac_critic...', '-' * 20, )160 else:161 print('-' * 20, 'Loading pre-trained sac_critic...', '-' * 20, )162 return tf.keras.models.load_model(sac_ckpt_dir)163 except Exception as e:164 print('Warning:', e)165 print('-' * 20, 'Fail to load the pre-trained sac_critic! An initialized model will be used!',166 '-' * 20, )167 return __init_sac_critic__()168 169 # ------------------------------------- main procedure -------------------------------------------------#170 base_ckpt_dir = os.path.join(base_model_dir, 'classifier', 'ckpt')171 if loadTarget:172 if index is None:173 sac_ckpt_dir = os.path.join(sac_model_dir, 'critic', 'target_ckpt')174 else:175 sac_ckpt_dir = os.path.join(sac_model_dir, 'critic', 'target_ckpt_' + str(index))176 else:177 if index is None:178 sac_ckpt_dir = os.path.join(sac_model_dir, 'critic', 'ckpt')179 else:180 sac_ckpt_dir = os.path.join(sac_model_dir, 'critic', 'ckpt_' + str(index))181 182 if load_sac_model:183 sac_critic = __load_sac_critic__()184 else:185 sac_critic = __init_sac_critic__()186 187 print('-' * 20, 'sac_critic', '-' * 20, )188 sac_critic.summary()189 190 return sac_critic191if __name__ == '__main__':192 print('Hello World!')193 os.environ['CUDA_VISIBLE_DEVICES'] = '-1'194 195 fe = FeatureExtractor()196 cls = D3QN_Classifier(based_on_base_model=True)197 cls = SAC_actor(based_on_base_model=True)198 cls = SAC_critic(based_on_base_model=True)199 ...
Add_Data.py
Source:Add_Data.py
1'''2Created on Oct 12, 20153@author: kyleg4'''5if __name__ == '__main__':6 pass7def main():8 pass9 #LoadARegion()10 LoadAliasTables()11def LoadARegion():12 from arcpy import Append_management, ListFeatureClasses, ListDatasets, env, ListTables13 #importGDB = r"//gisdata/planning/Cart/projects/Conflation/GIS_DATA/GEO_COMM/REGION3_20151002/REGION3_20151002.gdb"14 #importGDB = r"\\gisdata\planning\Cart\projects\Conflation\GIS_DATA\GEO_COMM\REGION4_20151021\REGION4_20151021\REGION4_20151021.gdb"15 importGDB = r"\\gisdata\planning\Cart\projects\Conflation\GIS_DATA\GEO_COMM\REGION5_20151211\REGION5_20151211.gdb"16 LoadTarget = r"\\gisdata\planning\Cart\projects\Conflation\Workflow\conflation_sqlgis_geo.sde\Conflation.GEO."17 env.workspace = importGDB18 ### There are no tables in the conflated dataset products - handle similarly and separately19 skiplist = ['Stitch_Lines', 'RoadCenterlines', 'Overlaps_Gaps_MunicipalBoundary', 'Overlaps_Gaps_FIRE', 'Overlaps_Gaps_LAW', 'Overlaps_Gaps_PSAP', 'Overlaps_Gaps_ESZ', 'Overlaps_Gaps_EMS', 'Overlaps_Gaps_CountyBoundary', 'Overlaps_Gaps_AuthoritativeBoundary']20 tables = ListTables()21 for table in tables:22 print table23 target = LoadTarget+table24 print target25 26 datasets = ListDatasets("*")27 for fd in datasets:28 print fd29 featureClasses = ListFeatureClasses("*", "All", fd)30 for fc in featureClasses:31 print fc32 if fc in skiplist:33 print 'skipping'34 else:35 target = LoadTarget+fd+"/"+fc36 print "loading to "+target37 Append_management(fc, target, schema_type="NO_TEST")38 39def LoadAliasTables():40 from arcpy import Append_management, env, ListTables, ListWorkspaces, CalculateField_management41 importFolder = r"\\gisdata\planning\Cart\projects\Conflation\GIS_DATA\R1\Alias3"42 LoadTarget = r"Database Connections\Conflation2012_sde.sde\Conflation.SDE.RoadAlias"43 env.workspace = importFolder44 GDBList = []45 for gdb in ListWorkspaces("*", "FileGDB"):46 GDBList.append(gdb)47 48 for geodatabase in GDBList:49 env.workspace = geodatabase50 tables = ListTables("RoadAlias")51 for table in tables:52 print table53 CalculateField_management(table, "SEGID", expression="""[STEWARD]&" "& [SEGID]""", expression_type="VB", code_block="")54 Append_management(table, LoadTarget, schema_type="NO_TEST")55 print geodatabase56 57 58 59''' 60 61 ### There are no tables in the conflated dataset products62 tables = ListTables()63 for table in tables:64 print table65 target = LoadTarget+table66 print target67 68 datasets = ListDatasets("*")69 for fd in datasets:70 print fd71 featureClasses = ListFeatureClasses("*", "All", fd)72 for fc in featureClasses:73 print fc74 if fc in skiplist:75 print 'skipping'76 else:77 target = LoadTarget+fd+"/"+fc78 print "loading to "+target79 Append_management(fc, target, schema_type="NO_TEST")80'''...
script_DashPart_Detail.js
Source:script_DashPart_Detail.js
1let loadTarget = document.querySelector(".loading")23function show_loading(){4 loadTarget.style.display = "block";5 loadTarget.style.opacity = 1;6}7function hide_loading(){8 //loadTarget.style.display = "none";9 let loadEffect = setInterval(() => {10 if(!loadTarget.style.opacity) {11 loadTarget.style.opacity = 1;12 }13 if (loadTarget.style.opacity > 0){14 loadTarget.style.opacity -= 0.1;15 } else {16 clearInterval(loadEffect)17 loadTarget.style.display = "none"18 }19 },100)20}21function tampil_data(){22 show_loading()23 fetch("http://192.168.18.68:8055/items/order?fields=customer_id.customer_id,customer_id.customer_name,ticket_id.ticket_id,ticket_id.ticket_type&filter[customer_id]=2")24 .then((response) => response.json())25 .then((response) => {26 response.map(data => {27 //var textNode = document.createTextNode(response.)28 })29 })
...
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