<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
    <Esri>
        <CreaDate>20250130</CreaDate>
        <CreaTime>08534800</CreaTime>
        <ArcGISFormat>1.0</ArcGISFormat>
        <SyncOnce>FALSE</SyncOnce>
        <DataProperties>
            <itemProps>
                <itemName Sync="TRUE">MiracleMile_Mask</itemName>
                <imsContentType Sync="TRUE">002</imsContentType>
            </itemProps>
            <coordRef>
                <type Sync="TRUE">Projected</type>
                <geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
                <csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
                <projcsn Sync="TRUE">NAD_1983_StatePlane_California_III_FIPS_0403_Feet</projcsn>
                <peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'&gt;&lt;WKT&gt;PROJCS[&amp;quot;NAD_1983_StatePlane_California_III_FIPS_0403_Feet&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Lambert_Conformal_Conic&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,6561666.666666666],PARAMETER[&amp;quot;False_Northing&amp;quot;,1640416.666666667],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-120.5],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,37.06666666666667],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,38.43333333333333],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,36.5],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192],AUTHORITY[&amp;quot;EPSG&amp;quot;,2227]]&lt;/WKT&gt;&lt;XOrigin&gt;-115860600&lt;/XOrigin&gt;&lt;YOrigin&gt;-93269500&lt;/YOrigin&gt;&lt;XYScale&gt;3048.0060960121928&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;WKID&gt;102643&lt;/WKID&gt;&lt;LatestWKID&gt;2227&lt;/LatestWKID&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
            </coordRef>
        </DataProperties>
        <SyncDate>20250129</SyncDate>
        <SyncTime>12440200</SyncTime>
        <ModDate>20250129</ModDate>
        <ModTime>12440200</ModTime>
    </Esri>
    <dataIdInfo>
        <envirDesc Sync="FALSE">Esri ArcGIS 13.3.2.52636</envirDesc>
        <dataLang>
            <languageCode Sync="TRUE" value="eng"/>
            <countryCode Sync="TRUE" value="USA"/>
        </dataLang>
        <idCitation>
            <resTitle Sync="TRUE">MiracleMile_Mask</resTitle>
            <presForm>
                <PresFormCd Sync="TRUE" value="005"/>
            </presForm>
        </idCitation>
        <spatRpType>
            <SpatRepTypCd Sync="TRUE" value="001"/>
        </spatRpType>
        <idAbs/>
        <idPurp/>
        <idCredit/>
        <resConst>
            <Consts>
                <useLimit/>
            </Consts>
        </resConst>
    </dataIdInfo>
    <mdLang>
        <languageCode Sync="TRUE" value="eng"/>
        <countryCode Sync="TRUE" value="USA"/>
    </mdLang>
    <distInfo>
        <distFormat>
            <formatName Sync="TRUE">File Geodatabase Feature Class</formatName>
        </distFormat>
    </distInfo>
    <mdHrLv>
        <ScopeCd Sync="TRUE" value="005"/>
    </mdHrLv>
    <mdHrLvName Sync="TRUE">dataset</mdHrLvName>
    <refSysInfo>
        <RefSystem>
            <refSysID>
                <identCode Sync="TRUE" code="2227"/>
                <idCodeSpace Sync="TRUE">EPSG</idCodeSpace>
                <idVersion Sync="TRUE">5.3(9.0.0)</idVersion>
            </refSysID>
        </RefSystem>
    </refSysInfo>
    <spatRepInfo>
        <VectSpatRep>
            <geometObjs Name="MiracleMile_Mask">
                <geoObjTyp>
                    <GeoObjTypCd Sync="TRUE" value="002"/>
                </geoObjTyp>
                <geoObjCnt Sync="TRUE">0</geoObjCnt>
            </geometObjs>
            <topLvl>
                <TopoLevCd Sync="TRUE" value="001"/>
            </topLvl>
        </VectSpatRep>
    </spatRepInfo>
    <spdoinfo>
        <ptvctinf>
            <esriterm Name="MiracleMile_Mask">
                <efeatyp Sync="TRUE">Simple</efeatyp>
                <efeageom Sync="TRUE" code="4"/>
                <esritopo Sync="TRUE">FALSE</esritopo>
                <efeacnt Sync="TRUE">0</efeacnt>
                <spindex Sync="TRUE">TRUE</spindex>
                <linrefer Sync="TRUE">FALSE</linrefer>
            </esriterm>
        </ptvctinf>
    </spdoinfo>
    <eainfo>
        <detailed Name="MiracleMile_Mask">
            <enttyp>
                <enttypl Sync="TRUE">MiracleMile_Mask</enttypl>
                <enttypt Sync="TRUE">Feature Class</enttypt>
                <enttypc Sync="TRUE">0</enttypc>
            </enttyp>
            <attr>
                <attrlabl Sync="TRUE">OBJECTID</attrlabl>
                <attalias Sync="TRUE">OBJECTID</attalias>
                <attrtype Sync="TRUE">OID</attrtype>
                <attwidth Sync="TRUE">4</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Internal feature number.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape</attrlabl>
                <attalias Sync="TRUE">Shape</attalias>
                <attrtype Sync="TRUE">Geometry</attrtype>
                <attwidth Sync="TRUE">0</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Feature geometry.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Coordinates defining the features.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Length</attrlabl>
                <attalias Sync="TRUE">Shape_Length</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Length of feature in internal units.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
            <attr>
                <attrlabl Sync="TRUE">Shape_Area</attrlabl>
                <attalias Sync="TRUE">Shape_Area</attalias>
                <attrtype Sync="TRUE">Double</attrtype>
                <attwidth Sync="TRUE">8</attwidth>
                <atprecis Sync="TRUE">0</atprecis>
                <attscale Sync="TRUE">0</attscale>
                <attrdef Sync="TRUE">Area of feature in internal units squared.</attrdef>
                <attrdefs Sync="TRUE">Esri</attrdefs>
                <attrdomv>
                    <udom Sync="TRUE">Positive real numbers that are automatically generated.</udom>
                </attrdomv>
            </attr>
        </detailed>
    </eainfo>
    <mdDateSt Sync="TRUE">20250129</mdDateSt>
    <Binary>
        <Thumbnail>
            <Data EsriPropertyType="PictureX">iVBORw0KGgoAAAANSUhEUgAAASwAAADICAYAAABS39xVAAAAAXNSR0IB2cksfwAAAAlwSFlzAAAO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</Data>
        </Thumbnail>
    </Binary>
</metadata>