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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        })
...

Automation Testing Tutorials

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