<snapdata remixID="15057101"><project name="Lesson 1-3 TEST" app="Snap! 11.0.8, https://snap.berkeley.edu" 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</thumbnail><scenes select="1"><scene name="Lesson 1-3 TEST"><notes></notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Hummingbird LED %&apos;port&apos; %&apos;intensity&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">50</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>portnum,intensitynum</l></list><l>var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;var realPort = portnum-1;&#xD;&#xD;&#xD;&#xD;var portString = realPort.toString();&#xD;&#xD;&#xD;&#xD;var realIntensity = Math.floor(intensitynum*2.55);&#xD;&#xD;&#xD;    realIntensity = Math.max(Math.min(realIntensity,255.0),0.0);&#xD;&#xD;var report = {  message:"L".charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                port:portString.charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                intensity:realIntensity&#xD;&#xD;&#xD;&#xD;             };&#xD;&#xD;&#xD;&#xD;chrome.runtime.sendMessage(hummingbirdAppID, report, function(){});</l></block><list><block var="port"/><block var="intensity"/></list></block></script></block-definition><block-definition s="Hummingbird TRI-LED %&apos;port&apos; R %&apos;redLED&apos; G %&apos;greenLED&apos; B %&apos;blueLED&apos;" type="command" category="looks"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">0</input><input type="%n">100</input><input type="%n">0</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>portnum</l><l>rednum</l><l>greennum</l><l>bluenum</l></list><l>var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;var realPort = portnum-1; //convert from zero-indexed&#xD;&#xD;&#xD;&#xD;var portString = realPort.toString(); //convert to string&#xD;&#xD;&#xD;&#xD;var realRed = Math.floor(rednum*2.55);&#xD;&#xD;&#xD;    realRed = Math.max(Math.min(realRed,255.0),0.0);&#xD;var realGreen = Math.floor(greennum*2.55);&#xD;&#xD;&#xD;    realGreen = Math.max(Math.min(realGreen,255.0),0.0);&#xD;var realBlue = Math.floor(bluenum*2.55);&#xD;&#xD;&#xD;    realBlue = Math.max(Math.min(realBlue,255.0),0.0);&#xD;var report = {  message:"O".charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                port: portString.charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                red: realRed,&#xD;&#xD;&#xD;&#xD;                green: realGreen,&#xD;&#xD;&#xD;&#xD;                blue: realBlue&#xD;&#xD;&#xD;&#xD;             };&#xD;chrome.runtime.sendMessage(hummingbirdAppID,report,function(){});</l></block><list><block var="port"/><block var="redLED"/><block var="greenLED"/><block var="blueLED"/></list></block></script></block-definition><block-definition s="Hummingbird Servo %&apos;port&apos; %&apos;position&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">0</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>portnum</l><l>ang</l></list><l>var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;var realPort = portnum-1; //convert to zero-indexed number&#xD;&#xD;&#xD;&#xD;var portString = realPort.toString(); //convert to string&#xD;&#xD;&#xD;&#xD;var realAngle = Math.floor(ang*1.25);&#xD;&#xD;&#xD;    realAngle = Math.max(Math.min(realAngle,225.0),0.0);&#xD;&#xD;var report = { message:"S".charCodeAt(0),&#xD;&#xD;&#xD;&#xD;               port:portString.charCodeAt(0),&#xD;&#xD;&#xD;&#xD;               angle: realAngle&#xD;&#xD;&#xD;&#xD;             };&#xD;chrome.runtime.sendMessage(hummingbirdAppID, report, function(){});</l></block><list><block var="port"/><block var="position"/></list></block></script></block-definition><block-definition s="Hummingbird Motor %&apos;port&apos; %&apos;speed&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">0</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>portnum</l><l>velocity</l></list><l>var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;var realPort = portnum-1; //convert from zero-indexed&#xD;&#xD;&#xD;&#xD;        var portString = realPort.toString(); //convert to string&#xD;&#xD;&#xD;&#xD;        var direction;&#xD;&#xD;&#xD;&#xD;        if(velocity &lt; 0){&#xD;&#xD;&#xD;&#xD;            direction = "1".charCodeAt(0);&#xD;&#xD;&#xD;&#xD;            velocity = Math.floor(velocity * -2.55);&#xD;&#xD;&#xD;&#xD;        }&#xD;&#xD;&#xD;&#xD;        else{&#xD;&#xD;&#xD;&#xD;            direction = "0".charCodeAt(0);&#xD;&#xD;&#xD;&#xD;            velocity = Math.floor(velocity*2.55);&#xD;&#xD;&#xD;&#xD;        }&#xD;&#xD;&#xD;        velocity = Math.max(Math.min(velocity,255.0),0.0);&#xD;        var report = {  message:"M".charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                    port: portString.charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                    dir: direction, //direction&#xD;&#xD;&#xD;&#xD;                    vel:velocity //speed&#xD;&#xD;&#xD;&#xD;                 };&#xD;chrome.runtime.sendMessage(hummingbirdAppID, report, function(){});</l></block><list><block var="port"/><block var="speed"/></list></block></script></block-definition><block-definition s="Hummingbird Vibration %&apos;port&apos; %&apos;intensity&apos;" type="command" category="motion"><header></header><code></code><translations></translations><inputs><input type="%n">1</input><input type="%n">0</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>portnum</l><l>intensitynum</l></list><l>var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;var realPort = portnum-1; //convert to zero-indexed number&#xD;&#xD;&#xD;&#xD;        var portString = realPort.toString(); //convert to string&#xD;&#xD;&#xD;&#xD;        var realIntensity = Math.floor(intensitynum*2.55);&#xD;&#xD;&#xD;        realIntensity = Math.max(Math.min(realIntensity,255.0),0.0);&#xD;        var report = { message: "V".charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                   port: portString.charCodeAt(0),&#xD;&#xD;&#xD;&#xD;                   intensity:realIntensity&#xD;&#xD;&#xD;&#xD;        };&#xD;chrome.runtime.sendMessage(hummingbirdAppID, report, function(){});</l></block><list><block var="port"/><block var="intensity"/></list></block></script></block-definition><block-definition s="Say This %&apos;speech&apos;" type="command" category="sound"><header></header><code></code><translations></translations><inputs><input type="%txt">I am known by many names, but you may call me...Tim.</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>phrase</l></list><l>var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;var report = { message: "SPEAK", val: phrase};&#xD;chrome.runtime.sendMessage(hummingbirdAppID, report, function(){});</l></block><list><block var="speech"/></list></block></script></block-definition><block-definition s="Hummingbird Light %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>port</l></list><l>var sensorvalue = Number.MAX_VALUE;&#xD;&#xD;&#xD;&#xD;var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;&#xD;&#xD;&#xD;var realport = port - 1;&#xD;&#xD;&#xD;&#xD;var myself = this;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function getSensorData(callback) {&#xD;&#xD;&#xD;&#xD;    var getValue = function(response) {&#xD;&#xD;&#xD;&#xD;        if (realport === 0)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port1;&#xD;&#xD;&#xD;&#xD;        else if (realport === 1)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port2;&#xD;&#xD;&#xD;&#xD;        else if (realport === 2)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port3;&#xD;&#xD;&#xD;&#xD;        else if (realport === 3)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port4;&#xD;&#xD;&#xD;&#xD;        callback(sensorvalue);&#xD;&#xD;&#xD;&#xD;    };&#xD;&#xD;&#xD;&#xD;    console.log("sending message to chrome");&#xD;&#xD;&#xD;&#xD;    chrome.runtime.sendMessage(hummingbirdAppID, {&#xD;&#xD;&#xD;&#xD;        message: "POLL"&#xD;&#xD;&#xD;&#xD;    }, getValue);&#xD;&#xD;&#xD;&#xD;    console.log("sent message to chrome");&#xD;&#xD;&#xD;&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function processValue(sensorvalue) {&#xD;&#xD;&#xD;&#xD;    sensorvalue = sensorvalue / 2.55;&#xD;&#xD;&#xD;&#xD;    console.log("sensor value has been set: ", sensorvalue);&#xD;&#xD;&#xD;&#xD;    if (port === 1)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy1 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 2)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy2 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 3)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy3 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 4)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy4 = sensorvalue&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;getSensorData(processValue);&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block><block s="doWait"><l>0.01</l></block><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>port</l></list><l>if (port === 1)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy1&#xD;&#xD;&#xD;&#xD;else if (port === 2)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy2&#xD;&#xD;&#xD;&#xD;else if (port === 3)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy3&#xD;&#xD;&#xD;&#xD;else if (port === 4)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy4</l></block><list><block var="port"/></list></block></block></script></block-definition><block-definition s="HB Temperature C %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>port</l></list><l>var sensorvalue = Number.MAX_VALUE;&#xD;&#xD;&#xD;&#xD;var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;&#xD;&#xD;&#xD;var realport = port - 1;&#xD;&#xD;&#xD;&#xD;var myself = this;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function getSensorData(callback) {&#xD;&#xD;&#xD;&#xD;    var getValue = function(response) {&#xD;&#xD;&#xD;&#xD;        if (realport === 0)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port1;&#xD;&#xD;&#xD;&#xD;        else if (realport === 1)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port2;&#xD;&#xD;&#xD;&#xD;        else if (realport === 2)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port3;&#xD;&#xD;&#xD;&#xD;        else if (realport === 3)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port4;&#xD;&#xD;&#xD;&#xD;        callback(sensorvalue);&#xD;&#xD;&#xD;&#xD;    };&#xD;&#xD;&#xD;&#xD;    console.log("sending message to chrome");&#xD;&#xD;&#xD;&#xD;    chrome.runtime.sendMessage(hummingbirdAppID, {&#xD;&#xD;&#xD;&#xD;        message: "POLL"&#xD;&#xD;&#xD;&#xD;    }, getValue);&#xD;&#xD;&#xD;&#xD;    console.log("sent message to chrome");&#xD;&#xD;&#xD;&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function processValue(sensorvalue) {&#xD;&#xD;&#xD;&#xD;    sensorvalue = Math.floor(((sensorvalue-127)/2.4+25)*100/100);;&#xD;&#xD;&#xD;&#xD;    console.log("sensor value has been set: ", sensorvalue);&#xD;&#xD;&#xD;&#xD;    if (port === 1)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy1 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 2)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy2 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 3)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy3 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 4)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy4 = sensorvalue&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;getSensorData(processValue);&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block><block s="doWait"><l>0.01</l></block><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>port</l></list><l>if (port === 1)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy1&#xD;&#xD;&#xD;&#xD;else if (port === 2)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy2&#xD;&#xD;&#xD;&#xD;else if (port === 3)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy3&#xD;&#xD;&#xD;&#xD;else if (port === 4)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy4</l></block><list><block var="port"/></list></block></block></script></block-definition><block-definition s="HB Temperature F %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doReport"><block s="reportRound"><block s="reportVariadicSum"><list><l>32</l><block s="reportVariadicProduct"><list><l>1.80</l><custom-block s="HB Temperature C %n"><block var="port"/></custom-block></list></block></list></block></block></block></script></block-definition><block-definition s="HB Distance CM %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>port</l></list><l>var sensorvalue = Number.MAX_VALUE;&#xD;&#xD;&#xD;&#xD;var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;&#xD;&#xD;&#xD;var realport = port - 1;&#xD;&#xD;&#xD;&#xD;var myself = this;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function getSensorData(callback) {&#xD;&#xD;&#xD;&#xD;    var getValue = function(response) {&#xD;&#xD;&#xD;&#xD;        if (realport === 0)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port1;&#xD;&#xD;&#xD;&#xD;        else if (realport === 1)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port2;&#xD;&#xD;&#xD;&#xD;        else if (realport === 2)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port3;&#xD;&#xD;&#xD;&#xD;        else if (realport === 3)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port4;&#xD;&#xD;&#xD;&#xD;        callback(sensorvalue);&#xD;&#xD;&#xD;&#xD;    };&#xD;&#xD;&#xD;&#xD;    console.log("sending message to chrome");&#xD;&#xD;&#xD;&#xD;    chrome.runtime.sendMessage(hummingbirdAppID, {&#xD;&#xD;&#xD;&#xD;        message: "POLL"&#xD;&#xD;&#xD;&#xD;    }, getValue);&#xD;&#xD;&#xD;&#xD;    console.log("sent message to chrome");&#xD;&#xD;&#xD;&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function processValue(sensorvalue) {&#xD;&#xD;&#xD;&#xD;    var reading = sensorvalue*4;&#xD;&#xD;    if(reading &lt; 130){&#xD;        sensorvalue =  100;&#xD;    }&#xD;    else { //formula based on mathematical regression&#xD;            reading = reading - 120;&#xD;            var distance;&#xD;            if (reading &gt; 680)&#xD;                distance = 5.0;&#xD;            else{&#xD;                var sensor_val_square = reading*reading;&#xD;                distance = sensor_val_square*sensor_val_square*reading*-0.000000000004789&#xD;				               + sensor_val_square*sensor_val_square*0.000000010057143&#xD;				               - sensor_val_square*reading*0.000008279033021 &#xD;				               + sensor_val_square*0.003416264518201 &#xD;				               - reading*0.756893112198934 &#xD;				               + 90.707167605683000;&#xD;            }&#xD;            sensorvalue =  parseInt(distance);&#xD;        }&#xD;&#xD;&#xD;&#xD;&#xD;    console.log("sensor value has been set: ", sensorvalue);&#xD;&#xD;&#xD;&#xD;    if (port === 1)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy1 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 2)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy2 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 3)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy3 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 4)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy4 = sensorvalue&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;getSensorData(processValue);&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block><block s="doWait"><l>0.01</l></block><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>port</l></list><l>if (port === 1)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy1&#xD;&#xD;&#xD;&#xD;else if (port === 2)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy2&#xD;&#xD;&#xD;&#xD;else if (port === 3)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy3&#xD;&#xD;&#xD;&#xD;else if (port === 4)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy4</l></block><list><block var="port"/></list></block></block></script></block-definition><block-definition s="HB Distance Inch %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doReport"><block s="reportQuotient"><block s="reportRound"><block s="reportQuotient"><custom-block s="HB Distance CM %n"><block var="port"/></custom-block><l>0.254</l></block></block><l>10</l></block></block></script></block-definition><block-definition s="Hummingbird Raw Sensor %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>port</l></list><l>var sensorvalue = Number.MAX_VALUE;&#xD;&#xD;&#xD;&#xD;var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;&#xD;&#xD;&#xD;var realport = port - 1;&#xD;&#xD;&#xD;&#xD;var myself = this;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function getSensorData(callback) {&#xD;&#xD;&#xD;&#xD;    var getValue = function(response) {&#xD;&#xD;&#xD;&#xD;        if (realport === 0)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port1;&#xD;&#xD;&#xD;&#xD;        else if (realport === 1)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port2;&#xD;&#xD;&#xD;&#xD;        else if (realport === 2)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port3;&#xD;&#xD;&#xD;&#xD;        else if (realport === 3)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port4;&#xD;&#xD;&#xD;&#xD;        callback(sensorvalue);&#xD;&#xD;&#xD;&#xD;    };&#xD;&#xD;&#xD;&#xD;    console.log("sending message to chrome");&#xD;&#xD;&#xD;&#xD;    chrome.runtime.sendMessage(hummingbirdAppID, {&#xD;&#xD;&#xD;&#xD;        message: "POLL"&#xD;&#xD;&#xD;&#xD;    }, getValue);&#xD;&#xD;&#xD;&#xD;    console.log("sent message to chrome");&#xD;&#xD;&#xD;&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function processValue(sensorvalue) {&#xD;&#xD;&#xD;&#xD;    sensorvalue = sensorvalue / 2.55;&#xD;&#xD;&#xD;&#xD;    console.log("sensor value has been set: ", sensorvalue);&#xD;&#xD;&#xD;&#xD;    if (port === 1)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy1 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 2)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy2 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 3)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy3 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 4)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy4 = sensorvalue&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;getSensorData(processValue);&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block><block s="doWait"><l>0.01</l></block><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>port</l></list><l>if (port === 1)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy1&#xD;&#xD;&#xD;&#xD;else if (port === 2)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy2&#xD;&#xD;&#xD;&#xD;else if (port === 3)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy3&#xD;&#xD;&#xD;&#xD;else if (port === 4)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy4&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block></block></script></block-definition><block-definition s="Hummingbird Knob %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>port</l></list><l>var sensorvalue = Number.MAX_VALUE;&#xD;&#xD;&#xD;&#xD;var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;&#xD;&#xD;&#xD;var realport = port - 1;&#xD;&#xD;&#xD;&#xD;var myself = this;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function getSensorData(callback) {&#xD;&#xD;&#xD;&#xD;    var getValue = function(response) {&#xD;&#xD;&#xD;&#xD;        if (realport === 0)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port1;&#xD;&#xD;&#xD;&#xD;        else if (realport === 1)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port2;&#xD;&#xD;&#xD;&#xD;        else if (realport === 2)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port3;&#xD;&#xD;&#xD;&#xD;        else if (realport === 3)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port4;&#xD;&#xD;&#xD;&#xD;        callback(sensorvalue);&#xD;&#xD;&#xD;&#xD;    };&#xD;&#xD;&#xD;&#xD;    console.log("sending message to chrome");&#xD;&#xD;&#xD;&#xD;    chrome.runtime.sendMessage(hummingbirdAppID, {&#xD;&#xD;&#xD;&#xD;        message: "POLL"&#xD;&#xD;&#xD;&#xD;    }, getValue);&#xD;&#xD;&#xD;&#xD;    console.log("sent message to chrome");&#xD;&#xD;&#xD;&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function processValue(sensorvalue) {&#xD;&#xD;&#xD;&#xD;    sensorvalue = sensorvalue / 2.55;&#xD;&#xD;&#xD;&#xD;    console.log("sensor value has been set: ", sensorvalue);&#xD;&#xD;&#xD;&#xD;    if (port === 1)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy1 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 2)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy2 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 3)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy3 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 4)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy4 = sensorvalue&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;getSensorData(processValue);&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block><block s="doWait"><l>0.01</l></block><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>port</l></list><l>if (port === 1)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy1&#xD;&#xD;&#xD;&#xD;else if (port === 2)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy2&#xD;&#xD;&#xD;&#xD;else if (port === 3)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy3&#xD;&#xD;&#xD;&#xD;else if (port === 4)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy4</l></block><list><block var="port"/></list></block></block></script></block-definition><block-definition s="Hummingbird Sound %&apos;port&apos;" type="reporter" category="sensing"><header></header><code></code><translations></translations><inputs><input type="%n">1</input></inputs><script><block s="doRun"><block s="reportJSFunction"><list><l>port</l></list><l>var sensorvalue = Number.MAX_VALUE;&#xD;&#xD;&#xD;&#xD;var hummingbirdAppID = "lfloofocohhfeeoohpokmljiinfmpenj";&#xD;&#xD;&#xD;&#xD;var realport = port - 1;&#xD;&#xD;&#xD;&#xD;var myself = this;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function getSensorData(callback) {&#xD;&#xD;&#xD;&#xD;    var getValue = function(response) {&#xD;&#xD;&#xD;&#xD;        if (realport === 0)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port1;&#xD;&#xD;&#xD;&#xD;        else if (realport === 1)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port2;&#xD;&#xD;&#xD;&#xD;        else if (realport === 2)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port3;&#xD;&#xD;&#xD;&#xD;        else if (realport === 3)&#xD;&#xD;&#xD;&#xD;            sensorvalue = response.port4;&#xD;&#xD;&#xD;&#xD;        callback(sensorvalue);&#xD;&#xD;&#xD;&#xD;    };&#xD;&#xD;&#xD;&#xD;    console.log("sending message to chrome");&#xD;&#xD;&#xD;&#xD;    chrome.runtime.sendMessage(hummingbirdAppID, {&#xD;&#xD;&#xD;&#xD;        message: "POLL"&#xD;&#xD;&#xD;&#xD;    }, getValue);&#xD;&#xD;&#xD;&#xD;    console.log("sent message to chrome");&#xD;&#xD;&#xD;&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;function processValue(sensorvalue) {&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;    console.log("sensor value has been set: ", sensorvalue);&#xD;&#xD;&#xD;&#xD;    if (port === 1)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy1 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 2)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy2 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 3)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy3 = sensorvalue&#xD;&#xD;&#xD;&#xD;    else if (port === 4)&#xD;&#xD;&#xD;&#xD;      myself.hummingbirdDummy4 = sensorvalue&#xD;};&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;&#xD;getSensorData(processValue);&#xD;&#xD;&#xD;</l></block><list><block var="port"/></list></block><block s="doWait"><l>0.01</l></block><block s="doReport"><block s="evaluate"><block s="reportJSFunction"><list><l>port</l></list><l>if (port === 1)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy1&#xD;&#xD;&#xD;&#xD;else if (port === 2)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy2&#xD;&#xD;&#xD;&#xD;else if (port === 3)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy3&#xD;&#xD;&#xD;&#xD;else if (port === 4)&#xD;&#xD;&#xD;&#xD;  return this.hummingbirdDummy4</l></block><list><block var="port"/></list></block></block></script></block-definition></blocks><primitives></primitives><stage name="Stage" width="480" height="360" costume="1" color="255,255,255,1" tempo="120" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="true" hyperops="true" codify="false" inheritance="false" sublistIDs="false" id="279"><pentrails>data:image/png;base64,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</pentrails><costumes><list id="280"><item><ref mediaID="Lesson 1-3 TEST_Stage_cst_test directions"></ref></item></list></costumes><sounds><list struct="atomic" id="281"></list></sounds><variables></variables><blocks></blocks><scripts></scripts><sprites select="1"><watcher scope="Stage" s="getTimer" style="normal" x="0.15625" y="1.4687501249999997" color="4,148,220" hidden="true"/><watcher scope="Stage" s="getLastAnswer" style="normal" x="0.15625" y="1.7968751562500032" color="4,148,220" hidden="true"/><watcher scope="PACMAN" s="getScale" style="normal" x="0.15625" y="2.1250001874999924" color="143,86,227" hidden="true"/><sprite name="PACMAN" idx="1" x="11.686274509804434" y="-147" heading="90" scale="0.1" volume="100" pan="0" rotation="1" instrument="3"  draggable="true" costume="2" color="80,80,80,1" pen="tip" id="289"><costumes><list id="290"><item><ref mediaID="Lesson 1-3 TEST_PACMAN_cst_Pacman1 "></ref></item><item><ref mediaID="Lesson 1-3 TEST_PACMAN_cst_Pacman2 "></ref></item></list></costumes><sounds><list id="291"><item><ref mediaID="Lesson 1-3 TEST_PACMAN_snd_Pop"></ref></item></list></sounds><blocks></blocks><variables></variables><scripts><comment x="27" y="10" w="339" collapsed="true">Welcome to Snap! We have pre-loaded the Hummingbird blocks for you. Blocks that move servos, motors, and vibration motors are located in the Motion category. Blocks that control LEDs are in the Looks category. Blocks that read sensor data are in the Sensing category. All Hummingbird blocks are located at the end of the list of blocks in a given category, and they all start with “HB”. &#xD;&#xD;The rest of the blocks are regular Snap! blocks. You can right click on most regular Snap! blocks and select help… to find out how they work. Visit www.hummingbirdkit.com/learning/snap-programming/ to find out how the Hummingbird blocks work.&#xD;&#xD;You can try any block just by clicking on it. Try it! Hook up an LED to Hummingbird LED port 1 and see if you can get it to turn on!&#xD;&#xD;We love to blink LEDs at BirdBrain Tech! Once you&apos;ve plugged an LED into port 1, try running this program----------&gt;&#xD;&#xD;</comment></scripts></sprite></sprites></stage><variables></variables></scene></scenes></project><media name="Lesson 1-3 TEST" app="Snap! 11.0.8, https://snap.berkeley.edu" version="2"><costume name="test directions" center-x="240.5" center-y="145.5" 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" mediaID="Lesson 1-3 TEST_Stage_cst_test directions"/><costume name="Pacman1 " center-x="171" center-y="180" 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VIt1EElaetPptIl6pUREQgTEI6K0mCKyhmBrThUVmMfqaqB+qSiRhZU/zaUoiIAIi4CuBn6ED7iP/QWk62LSwcrZ6apqOqi8REAERCEHgoWCG2onXGYPEPvLX86dpYWWDt9CUREAE0iGgXhojcEdVUI9orHgypaII6+RkXFKrIiACIhCawKqqoJ4WumYCFZoSVi4DfC8BX9SkCIiACIQlcEtVUDvCVkyyfFPCSofOoCmJgAgkTEDN1yFg8POqoJ5Zp0Smm0MLK2erh9FjXWlFCEoiIAKpE/haIKgd8PqG+qGFlefXroceIiACIpAugdsDQe3E29PttrnewgurwYnNdaVaIiACDRFQoUECBl+oCuobBjf6/yyUsNpfYh//Q5KHIiACuSdg8e1AUDuQy/s8hxJWTMH9uR8wBSACIuAvAYPLA0Htwln+Ojm+Z+GE1SLVy8LGd18lRKAoBEofx1cDQe3Ah4tAomFhtaug+wIUYcQVgwj4RKCCfwoEtRPn+uRWVF8aFlZU8Pmonam+CIiACAQEDK4KBHUhOUF//AAAEABJREFU/iV4XbA/jQsr8KqCxa5wRCBrAmXs/wOBoHbgoiIH35CwWouGyhUZlGITARGIROATgaB24spIreSkcmOC2YPbchKP3BQBEfCJgMX5VUH9uE9uJe1LY8IKvD5pR9S+CJSFQCnitLg4ENQu/Hsp4h0RZKPC2jainl6KgAiIwGgCBn9dFdQrRr9Zni3jCqvtxinlwaFIRUAEmiJgqh/5O/DNpuoXrNK4wgqDawoWs8IRgfQJFLXHFiwJZqgdKOVH/nrDOr6wAofVq6ztIiACpSRgOeH6m0BQF+jEdq09oBFhrVVP20RABMpIoAUnUVBbTAduLGP4jcY8prDaHryn0YZUTgREYCSBwrzuZyRvpKAaswB38bnSOATGFFbW/ShNSQREoLwEjqegTqDdWl4E4SMfW1h1N6vwRFVDBPJPYA8sXk8xNbR78h9O+hHUFVb7ANrTd0c9ikDuCeQ7gDYcQzFtN134ab4Dydb7usKKHfD6x7qghwiIQFwEdqEVr6SgGjMfupl9DFTrCyvwjzG0ryZEQAR8JjARL6WgTjLHYpnPbubNt7GEVbcJzNtoyt/MCOSs4+2o4FgKqjHH4Pc58z0X7o4lrLkIQE6KgAiEINCHF1NQp5qF+C30SIxATWG17rqKxLpUwyIgAikT2II+vIyCaszxeCrlvkvZXU1hRQ8KfXfvUo60go6fQB5a3IW5FNSZFNSH8+BuUXysLazAu4sSoOIQgRIS2MgZqvvIb8wrsbaE8Wcecm1hNXhJ5p7JAREQgbAEKtiN/ThD3ZczVH3kD0svxvK1hdViYox9qCkRKBABL0NZhxbMoaC2mkXY4KWHJXNqlLDaZZhcMgYKVwTySqAP0zCDgjrHLMC6vAZRRL9HCSvacEwRA1VMIlAgAs9gB/aloLaZI9FboLgKE8poYTU4uTDRKRARiIeAL63s4hrqFArqPPMn2OiLU/JjNIHRwqpvBIympC0ikC2Bx7Ez+Mg/iWuoO7J1Rb03QqCWsM5rpKLKiIAIJE5gO3to5wz1EPMqfeQni9ykWsKaG+flqAgkSSCztg0e5rmOaRTUqbQ9mfmhjpsmIGFtGp0qikDsBHpxO1pNB15m5mNb7K2rwdQISFhTQ62ORKAOAYv7qyelZphLUalTSptzRGCYsNqVOC5HvstVEYifQLotbuRHfWO6cIxOSqULPunehgkrO3szTUkERCBJAgbd6MVkiuq+SXajtrMjMFJYT8rOFfUsAgUnYPEsxdRwDXWhWYydBY+21OENF1aD2aWmoeBLSiDhsC1+gcmYyI/8Bybck5r3hMBwYbXYzxO/5IYIFIHA48EMtQuvNkfz9FQRIlIMDREYLqzApIZqqZAIiEB9AhY/RgfaKKqH1C+kd4pMYKSwFjlWxSYCQwkk8fxBiqk7y3+KMehLogO1mQ8CEtZ8jJO89JmAwXfxKCZQVF/us5vyLT0CLwirXQotA6THXT0Vg8Aqiqk7y/8mcyb6ixGSooiDwAvCyrOW+kZAHETVhtcEYnHO4D/QgRaKakcs7amRwhEYFNZ26BsBhRteBRQrAYtfUEyN6cBbuYZqY21bjRWKwKCwWswoVGQKRgTiImDxpUBQu/DquJpUO8UmMCiswP7FDlXRlZZAs4Eb3FYV1L9ttgnVKyeBQWE1OLycCBS1CIwgYHFFIKgdWDLiHb0UgYYIDAprPw5tqIYKiUBxCXw9ENQuXFzcEBVZGgQGhdVgbhodqg8RSIdAqF4+HghqJ94GPUQgBgIS1hggqoncErimKqifyG0EctxLAoPCajHHSw/llAjETcDioqqgXhB302pPBByBQWE12MdtkIlAjgnUd93A8t+nAkHtwlX1C+odEYhOYFBYLdqjN6cWRMBDAgbvNh1oMV34mIfeyaUCEhgUVmBqAeNTSOUlYNGCjwQz1A58pbwYFHkWBIYKaxb9q08RiEygRgNnU1BbzAJ8psZ72iQCiROQsCaOWB2kRsDiBxRUQ7sptT7VkQjUICBhrQFFm3JKwGCJ7UG/XQFdgprTISyK2xLWooxk2eKoF6/lymoLvmhXwtpuvKleMW0XgSQJSFiTpKu2syVgcAsFtp8C+45sHVHvZSMwVFg3lC14xVsKAi0wuI4Ca7lM8MZSRKwgMyfQMsSD9UOe66kIeEggoksW36PAuhnsX0VsSdVFYEwCEtYx8ejNAhJo4Qz2JgqstauxpIDxKSQPCLQM8UEz1iEw9LQEBPpxKwW2j3ZGCaJViCkSGCqsT6TYr7oSgUYJJF2ulR18n+Lq1mDfwOdKIhCZwFBhfTRya2pABPJMwOI2240+nuT60zyHId+zJzAorBZ/gB4iUHYCBq2w+HEwg12JU6GHCDRBYFBYW7G2ifqqIgKJEPCk0duDGewKnOiJP3IjJwQGhbWCjTnxWW6KQHoEDGewLfh5MIPtxp9BDxFogMCgsE7AhgbKq4gIlJeAwR3BDHYVOssLQZE3QmBQWLdLWBsBpjIJEshD04Yz2Aq6gxlsD06GHiJQg8ALwmoWYUeN97VJBESgHgGLHwUz2JU4pl4RbS8ngReEtZzhK2oRiEjAcAYL3FedweprWtDDEZCwOgqyDAkUqOu9X9Pqs6txeIGiUihNEBgprLuaaENVREAEBgm0oh8PcQZb4TLB/x/crGdlIjBcWA2eL1PwilUEEiRgYPCftgf99jc4BHqUisBwYa1gXamiV7BZEShPv+4XDdrwWDCD7cFryxN4uSMdLqwG/1VuHIpeBBIjYGBxVyCwv8JBifWihr0gMFxYK/i+F17JCREoLgGDSXiaAttvdalsYUd5mLCahVhW2EgVWOYE5MAwAi0YuFR2OeYOe0cvck9gmLDmPhoFIAJ5JDABz3IG22dXY1Ee3ZfPowlIWEcz0RYRyIKA+5rWrymw1moGmwX/WPuUsMaKU42NIqAN4QnsncHusd1YGL6yavhAYLSwGuiG19BDBDInMAEG9wQz2HsxJ3Nv5EAoAqOF1eK6UC2osAiIQLIE9uA524NdnMEem2xHaj0uArWE9T/jalztlJWA4o6dgEU7Z7Crghms1mBjxxt3g6OF1eD+uDtReyIgAjES2LsGu5Miq9sVxog1zqZGCavpxPY4O1BbIiACiRCYyFb33q5wBQ7gcyWPCIwS1qpvustVFYSyhgmoYFYEWrCG6687OIM9MisX1O9wAvWE9YnhxfRKBETAawLuQlngfymu1moGm/lQ1RZWg2sz90wOiIAINEfAzWBXYhtF9rDmGlCtqARqCqvpwFVRG1b9chBQlN4SmELPHqG4WtqBfK6UIoGawppi/+pKBEQgeQLPUFy30A5Oviv14AhIWB0FmQgUn8B0hvi4db9osAq6HyxhJJnGEtalSXastnNMQK7nl4D7RYMK3P1gN1kJbGLjWF9YLS5LrFc1LAIikDWBmXAC240+CWz8Q1FfWKfgF/F3pxZFQAS8ImDQWhXY9RTY/aFHLATqCqs5Grtj6UGNFISAwig0AYN9KbBruQa7iwKrNdiIg11XWKvtPl3NlYmACJSBgLvZi1si6MFaex/2KUPIScQ4nrBqnTUJ6mpTBHwnYLE/P7NusCvhLpXV92BDjteYwmo68cWQ7al4sQgoGhGYRATue7DP2eWYwedKDRAYU1gbqK8iIiAC5SAwBxOwmTPYrboXwfgD3oiwPjh+MyohAiJQEgJT4e5F0B38suyUksQcOszxhbWCvw/dqirkmoCcF4FxCRjMZRl3o5dN9l7oN7kIY2gaX1jvhH6qZSgxPRcBERhKYCb24DkuEayxS+HWY4e+V9rn4wqruRQV0tF3WglBSQREoC6BAzAdO2w31lNkZ9ctVZI3xhXWKocfVXNlRSWguEQgDgIG+7KZdRTYNRTYNj4vZWpIWE0nzoAeIiACItAoAQP3O1y7Ka7P2mWB2DZasxDlGhLWQkSqIERABLIgMBftwfLAM9aiNQsHsuizcWG1+HkWDqrPJAmobRFIjcCB6EEfZ7BP0Wam1mtGHTUurK14f0Y+qlsREIHiEJjHUDZRXNfYS9G4/rBSnlLDgZkFuDdPgclXERABrwkcgNPQT4F9zC7FNK89bcK5hoW12vaaaq4svwTkuQj4ROAQTEcvBfZZn5yK6ktYYX1F1A5VXwREQARqEJhLcbW2Bw/ZZZhc4/1cbQolrKYTz+cqOjkrAiKQLwIWh6Md2203cj2DDSWs1RG6u5oryxEBuSoCuSJgsHcGuxIP2IcxMVe+09nwwroHb2c9JREQARFIg8BR2IydXCJ4Lo3O4uojtLCaE/AHmOD+AdBDBERABFIhYDEnWINdiXvtA1wsSKXT5jsJLaxBVxXcHuT64zcBeScCxSPwCuzALorsWp9Da0pYTReW+ByUfBMBESg8gf0prpbWQ/PuZi9NCWswZBb9Qa4/IiACIpAdgQXserftxjrm3qTmhdVo1urNKA5zRC9EoIQEDGZz5upmsMvtzdnf7KVpYTWduKOEw6eQRUAE/CZwHA5FX9bfImhaWKtsf1XNlYmACIiAPwQGvkXQjV9bi6g6FzquSB1y1vonoXtUhSQIqE0REIFaBAwWoSe42csaCqypVSSJbZGEterQxmquTAREQAR8JXAABbbCk1w/T+N2hdGF1eJ1vpKUXyIgAiIwjIDBiTiNM9gePM4ZbHT9G9b44IvIDZsurGZzFZpSygTUnQiIQJMELA7mDLbfrsRdFNjYlwgiC2sQlsW5Qa4/IiACIpAvAq+lwFYosI/E+TWtWISVs9br88VS3oqACIjAMAKH4VD0cQ32p8O2NvkiFmEN+ja4Ksj1J1kCal0ERCA5AgYncfZqaQ/YpZjQbEexCavpwEXNOqF6IiACIuAZgaMwHXtsD37SjF+xCWu1899Vc2UiIAIikH8CFq/n7NVyiWBVmBlsrMJqOnFk/kn6GIF8EgERyJSAwbHVGeyPGvEjVmGtdri0misTAREQgWIRsDi5OoNdNtYMNn5hnYyTi0VS0YiACIjACAIGJ4w1g41dWM3R2E0X1tCUohFQbREQAd8JuBlsD1470s3YhdV1wLXWg1wuEwEREIGiEzAd+NnIGBMR1qATizuDXH9EQAREoKgE+jCzVmjJCWsnTqvVobaNTUDvioAI5IbANnM8ttTyNjFhNQaW/75dq1NtEwEREIHcE2hD3a+XJiasDprpwlkul4mACIhAwQjsMfPxVL2YEhXWoFOL9wW5/tQnoHdEQATyRaAXU8ZyOHFh5az182M5oPdEQAREIGcE7jCL0TeWz4kLa9D5VMwOcv0RAREQgZwTMA2cmE9FWM3LsZ4sn6QpvUBAT0RABHJHwOKdjficirAGjjyKPwpy/REBERCBfBLYw6XNhm7qn5qwmjPRT5Y305REQAREIH8E+nFEo06nJqzOIa5N/CVzSytrUtwiIAL5JPCsOQ6PNep6qsIaOGWwKMj1RwREQATyQqAD88K4mrqwmg4sp4ObaITTD9sAAAucSURBVEoiIAIikAcCFxqDShhHUxfWwLkO7BfkJfmjMEVABPJLgEuYV4f1PhNhDdTfQFdkhR0tlRcBEUibwNRmOsxEWJ2jXBLQFVkOhEwERMBXAtdytrq9GecyE9bA2cmYGORF/KOYREAEck2Aovp3zQaQqbAGP+Ni8OFmnVc9ERABEUiEwDTMiNJupsLqHOeSwOXMd9KUREAERMAHAteYI9EbxZHMhTVwvhfTgzz3fxSACIhA3glwCeCCqDF4Iaxm7y24zowajOqLgAiIQCQCuzElUv1qZS+E1fnC/yVuYb6OpiQCIiAC6ROweJdZhB1xdOyNsAbBdGIu81BXOLB81kn9i4AI5J/A46YL18UVhlfCagCLPuwTV3BqRwREQAQaItCBWG9r6pWwOgDmeGyhvF7instEQAREIAUCBxlD1YmxI++E1cXGKfllzJ+meZvkmAiIQAEIWJzP8ztr4o7ES2F1QTLYF7lcJgIiIAKJELB4lJO4f0+ibW+FNQi2DzODXH9EQAREIGYCFNXDYm7yhea8Ftbqeus5L3ib9RP1LwIiUAwCCU/avBZWN4L8X+UbzO+mKYmACIhAdAIGJwaTtugt1W3Be2F1nnO9dTHz9TQlERABEYhC4FrTgV9GaaCRurkQVhcIxXW2y9M39SgCIlAQAk9SR5q+FWAYBrkR1iCoiLfyCtrQHxEQgTISsBTVg9MKPFfCatytvFrjvUIiLdDqRwREIDsCFNVUtS7VzuLAao7FH2DxLiT7UOsiIAJFIdCK1C+Tz52wurE2XbgOBt91z2UiIAIiUJdAG47hZGxT3fcTeiOXwupY8Mzem5ivoCmJgAiIwGgCFueY+bh/9BvJb8mtsDo0XDc5jvnztFiSGhEBESgIAYvL+MnWfQc+k4ByLayOGMV1f+a7aUoiIAIi4Aj8hKJ6iXuSleVeWB04iutE5n00JREQgXITeIB6cHLWCAohrA4iYba5PLSpggiIQFEIPE0d+H8+BFMYYQ1gdqAFBvpplwCG/ohAqQhspKh6c6vRliKhNwYWC6CZa5EGVbGIwPgENlNU9x2/WHolCiWsDhvFtYJHMYHPLa1O0mYREIFCELDopajO8i2WwgmrA2zORD860O6ey0RABApLYAvP/s/wMbpCCqsDzZlrH8W1VWuujoZMBApH4HnOVL39hZHCCqvbjSiuFa65umUB91ImAiJQDAJrKaru++veRlNoYXXUKa7udmGGz/U9V0JQEoGcE/hviupc32MovLAODAAHow0WOwdeKxcBEcgZAYu7eRy/Ajl4FF5Yh44BF7on8/U6mpIIiEC+CFzN43dxXlwulbC6QeH/eHOYJ/6bN+xDSQREIB4CZ/K4vTCeptJppXTC6rBykE5k/h2akgiIgM8E+nACj9dbfHaxlm/FFNZakY7YxsF6MzedTVMSARHwk8AsczyW++na2F6VVlgdForrTdgF788wOl9lIlAiAhUem4a2Oa8xl1pY3aCZV2ItdsLLqzecfzIRKBmBJyiorXmPuUDC2vxQmFfBXW/sbuHyXPOtqKYIiEBEAj+gqL4kYhteVJewDhkG04UD+PInNCUREIE0CVRwEkX1jDS7TLIvCesIuhzck2Hw5yM266UIiEASBCz68SgmmIW4K4nms2oz78KaCDfTge+jDdMSaVyNioAI7CVgsQOdaDNnon/vhuL8lbDWGUszH9s4e3X3GHikThFtFgERaJ7Ap7n0NsXdy6P5JvytKWEdZ2worodzaeC94xTT2yIgAo0TOIjH1UcbL56/krkU1rQxc2ngC+iFu8+A7pCVNnz1VyQCj1JQ3fdT1xQpqFqxSFhrUamxzSzGTu4U7ve0HqrxtjaJgAiMRcDiXTx+DhurSJHek7CGHE3uHEegglNCVlNxESgnAYNtmIyJXE+9rkwA8iOsHo2KWYgfowOtdGkTTUkERKAWAYPruYw2zRyN3bXeLvI2CWuTo2sM3PXM+7D6uTQlERCBQQKWT/enqL6TeSmThDXisHNp4KvohVt7Ldx38SKiUfVyEvgOj4kW2vPlDH9v1J4L614nff9rFqOPO9IE+qnbEBKCUgkJuC/7T8MMHgdvLmH0o0KWsI5C0vwG7lQ3oQOO6ePNt6KaIpA7Ahfy5NQUcyR6c+d5Qg47EUio6XI2awzcr8Iegn4cQQL63ishKBWWwMOcTLjvpV5d2AibDMxHYW0yFL+qmePwEHe6Nlh8zC/P5I0IxELAXT31slhaKmAjEtaEB5UfkT5FgXX3HFiVcFdqXgSSJ2BxmdufaYW/eioKTAlrFHoh6nJH7GDxdpqSCOSRwLPg+QNOFC7Jo/Np++yNsKYdeBb9UVz30AwMTs+if/UpAqEJWGxgnVncbw905w/4XKkBAhLWBiDFXcR04IfcUQ3bvZCmJAJ+EujHbM5Q9+O+utlPB/31SsKa4dhwh72a5gT2ygzdUNciMEjAoMJPVCe7/ZInYNcPvqFnYQhkK6xhPC1wWe7EH6AZ7tD6va0Cj3MOQjuen6ZaadoPIw6WhDUiwDirc4cOZgoU2C/E2a7aEoExCLjr+s90/7HT7hmjnN4KQUDCGgJWWkUpsO/lTm7Yn754TQhKiRCouItYuJ+56/pvSaSHEjeagbCWmHbI0LnTX0gznMG+O2RVFReB2gQMtsLiGO5XrVxDfah2IW2NSkDCGpVgCvU5g/0KDwSD3diP3ZXu3paMWSk6gU1uH+K+NJ1n+u+P3pxaGIuAhHUsOp69ZxZhAw+OiXRrFu2XNCURGI/Av3Cfcdfzu3sHj1dW78dEIC1hjcldNeMI8EDZTDuRZvix7sPcVqEpicAAge18sr/bP2j/xOdKKROQsKYMPO7u+LHuch48rWjBIVyLXQk9ykzgGnSglfvDVFqpbzSd9U7QkrUD6j8eAmYBHuf6WRcPKIN+nMZW3ayFmVLBCbgv8btLTt3H/QuMgT69eDDgiQqrB/GV0gWe7b2DAjsVnL0QwD/SlIpFYBuXgJZwjJ2YzmauS049G18Jq2cDEqc7bvbCg+6TNHcAGh6M32b7uvk2IeQw9fKTyNnVsZzGJaDbchhDaVyWsJZmqAEejGfxwGzDZLhvFnwIevhNwN1ZqgUDM9MZ/CRyk98Oy7sBAvEL60DLyr0lYI7GbgrsZ2l7Z7ItOInOPktTypaAu7z0dzwROScYmy7sx7VzzUyzHZOmepewNoWtWJV48N7FA/lAmsFOzGN0n6C5g5yZUsIENsPiHOyHyeTfQjuS47Eu4T7VfMIEJKwJA85b8+ZVeIYH98dp7iA36MVkWPyQcWylKUUnsJY8B37exH1imMUlmm+YP+J/adHbVgueEIhJWD2JRm7ETsAsxk4e+KdTaKfTDDs4iHYuTb95RAgNpBUU0lNZzn231AnpXPK8hK+VCkxAwlrgwU0iNIrrGtpXaQfRnFAYtGEaDD7L/h6j9dPKmHYw6N/RgnvrDrBhfhyF9E7m+l4x4ZQlSVjLMtIJxmnmY5vpwIcoHofSJtAMFxCmow8nUHAvZddP0oqUVqOC9zC2+Qyq3cVLm0I7knYltymVnEAUYS05OoU/FgFzNLaa47GcgvvPFJuDacHsdiBn3ZfwI/JFFCd3M5lH+NpdQZT1CTP3HV934sjNPO+gb+9AL/YZ8HlIvsAsxBcZ233ctoe+K4nAMAIS1mE49CItAhSkJ/gR+SqKk7uZzOF87a4gCk6Y8XkgwuCZcvpzEPpxBAw6KcSL0YI3cbZ4Hrd/lNuu4rYv067n65ur9q3gtcHnmV9B+zDLv4N2Ouu+mq8XsNxL0Ya56EXbQF/V3L12X3VyM8/T6NsNXGPexPJKIhCKgIQ1FC4VTpOA4ZlyCt4acxweosj1UIjvNgvwXc4Wv8ztn+a2i7jtPNo7+fovq/aW4HUH3sf8YtrlLH8D7Yes+wu+Xs1yv+fyxVqzmIsVaQakvkpDILSwloaMAhUBERCBJgn8HwAAAP/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mediaID="Lesson 1-3 TEST_PACMAN_cst_Pacman1 "/><costume name="Pacman2 " center-x="176.5" center-y="177.5" image="data:image/png;base64,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