我想在一個簡單的 html 檔案中的 svg 圓圈中間放置一個 PNG 影像。我仍然想要圓圈的淺綠色背景顏色，并且影像不應該填滿整個圓圈。我怎么做？
這就是我希望它看起來的樣子：
用 defs 模式和 clipPath 嘗試了一切，但沒有什么能達到我想要的。我使用帶有 a 的 svg 元素，<g>并在那里放置<circle>，<text>在我的示例中為 60/min。
好吧，這就是我現在嘗試的方式-XML：
<svg>
<g>
<defs>
<clipPath id="cPVitsig1">
<rect id="rectVitsig1"/>
</clipPath>
</defs>
<img id="imgVitsig1"/>
<circle id="circleVitsig1"/>
<text id="textVitsig1">60/min</text>
</g>
</svg>
XSLT：
SVG element-->
<xsl:template match="n1:svg">
<svg id="svgCirc" width="100%" height="450" viewbox="0 0 100 100">
<xsl:for-each select="n1:g">
<g onclick="collapseCircle()">
<xsl:apply-templates select="n1:circle"/>
<xsl:apply-templates select="n1:text" mode="circle"/>
<defs>
<clipPath>
<xsl:apply-templates select="n1:rect"/>
</clipPath>
</defs>
<xsl:apply-templates select="n1:img" mode="circle"/>
</g>
</xsl:for-each>
</svg>
</xsl:template>
<xsl:template match="n1:img" mode="circle">
<img>
<xsl:choose>
<xsl:when test="@id='imgVitsig1'">
<xsl:attribute name="href">data:image/jpeg;charset=utf-8;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAI2CAYAAAC44TfqAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAAGYktHRAD/AP8A/6C9p5MAAAAhdEVYdENyZWF0aW9uIFRpbWUAMjAyMjowMTowNSAwOTowODoxNnlU5G8AAExFSURBVHhe7d0HmDRVnbZxXHLOOSOIKCAISFDEgBkQAUUUZRExoGtOa9ZVd9k1KwZ0xQyIIIooCAZQQAERREUySEZyju73PG/3fA7Df0LPVJ1Qdf u6766MfC M13ddbrCOY YDyjP0moltcK4Vhz3ny2vFldLKfPj/GpRtYhaQC2p7B519 DpfPepOwdP5z3eMq6bxz2/UV2trlJXqtsVUKuF1WpqdbWG8vtnWbVM8Oj3ni2k/B6z8c/vUPersffVA2rs/eH3jv zG4ZdP 65 /vwP7tNAdkxAEIOHqisp9YdNvH5Eqok/tC/Ql0zfLxQXTDu8S4F5OIBv987j1Ibqg3UmsqDHQ98/OWhJH4/XaIuneTRgyugdQyA0KYF1aPV49SmajO1sVpVdcn4QdHZ6g/qXDV25Alogo9yepCzufJ7ye8tD3g8 PF7rSt85PUvyu lc9Qf1V VjzwBjWEAhKb4qM5Wags1NuB5rPLh8z56UPlD2x/i7vfqdDV2Cg6Yio/q H3k99PYgMfvqcVUH/n09Z UB0MeFJ2lzlB8ycCsMQDCbPm6myeoJ6knDh99/Q0m50HR eo36hR1krpcAb7GxgOdsfeS8zU5mJyvP/JgyO8lv6d qXytETAjDIAwUyurZ6rtlT kN1JsP3N3kfq1 pk6UfEB3g8 Yvpk5ffUDspHe3zUB7P3f o85cGQ31MnqOsUEGIHhsn8i/I30h3Vzmrb4X G9vxD fohD4TcycqH/tENvsDf7yf3bDV2pyLa42uJjlF P/1K agRMA8DIIznW8z9jfR5w0f/M/K5VfnI0FHqWMXt HXxEZ2nqN2V31O Mwv5 Db849VPlN9Xnu4CQI95kPNq9Qvlb0c jEzl5Ys9f6T VS2nUCbPubOT pryDjZ6LSl//qz7uXqV8rxIAHrCk515R/pT5VtLow8IKjefFvM32FeosckgkY9vQfdp4u8qH7WLXjMqN7 ffIT15Yr3E9BBvn12L3W08kRj0QcB1ZcnYfyOepbyPDFI5/Hq08oX2kavDdWXj7T6lPOeyheqA6iYJx78rPJSD9EbnrqTJ5D7b X5l9AOz6z8duWJLqPXgLrTTeozivcTUBFfh/BC5dtAfWdR9Oambnem8vUNfItthufl Z7y6ZLo903dbuz9NLYmGoDCeGr8/1KeSyZ6E1P/ulZ5m1hbYTS Td07PY720Fhe8PXLyvM2AcjMUxl4ThHPcxG9YYmcL3Y/Uvm2bEztMeqLytMORL9LIue7yPzZy3QyQGK 88R3LXhtnOjNSTRZXkfJ2w4XTT U1936pmI6CBolfwb7SCFLAQEt82H5N6q/qejNSDTTvAyHt6W f3D7 h7PFhz9johm2jXqg2pZBaBBK6r/UcwzQk3nu8fepvp0gaePfu2tuL6Hms7XCR2o/JkNYA58xOedioEPtZ2XCvC21uUjQr5ew5MWehXx6HdA1FR3KN AwBEhYET Nu6dkeeiiN5cRG11hfKpMU n0CVehPT3KvqZidrqNuWBELNMA9PwvC1vUder6M1ElKoLlU8T/YuqmQc p6noZyRKlWcMf5PiYmlgAu9kXql8PUb05iHKle8a20HVxrezH6ein4koVz7Cuq q/YsF0IgnKL6hUun5TqlHqtJ5tXyfcrhXRT8HUQn5dKzvQAR6aXXleUdYroJqyUtBeH2kpVVpPDeW52PxxdzR352otPzZ7yVWmKkdveHrfN6n7lTRm4Ko9DznyT6qlFlwvRr X1X0dyUqPd8x9m7F9UHotN3UZSp6ExDV1i/Uo1QuK6vvqujvRlRbF6tdFNAp/qD2oc5ooyeqOZ8W8zU3KW b95EnL fBwr/UxXy9nS RAKr3QsUHNXW9C9TTVds2UF6IMvo7EHWlm5WvaWOxVVRpXXWCijZuoi7mizq9kvoSqmkLqPcr7u6iPuWpHNZRaBgjy3Z4naF/Ux9RfVpfKQWfbvHRtLEeVF57xzzjqv/5LuWdpC2kxl6DxZRP0/huId8qPT4uPmyWr2XwRdKnzPunudtIfUNtNe f0BS/Tzzb/Fg3qvuH cJcG/9 8vvH7yN/xo3NbLyM8j vMC6/79CcsYukD1L koEGMABqno/6fFttN fMAqvd3aJunT46K5UY4Mdz47t/00b/KHugZCv1VpT bbUtYb5n/0NzP8dZs6D0Y rD6ixHeioPFncG9THlO exMz5/XK5 pvy5Hu cKP/mfPSuwBj 9EbYOnSfD7ZWxAtIbyZ N6w/y8xKkUSvcb9TLl1xJzxACoWV42wCN01nyZ2rXKi1G6s5WXXPCgx98 S Zvup5d LHKRyT86H/2hzsm90flD20/jsKD0EPUU f9EyZztfqz suwsee hqRkyysPhnxN1 PUZsNHvmhMzV8CX6sOnfdPmDUGQM3wgOcL6qXz/gnj QiOv7X8QXmw40GPv312iY8ceTbv8a2o8E8 AvQe9Unl6xqmw5eJmL8knD4hHx3tEg AxgZEmyvPlsyXjIfzJLqvV7fP ycgg22VT9VMvHCtj/nc9J UL4L1DqzPs5v6m 1e6svqIhX9vvrYj5QHjJPxaa6vqOj/28d8LdXByl u1ld95VPQ/kz5kvJnDLPnD/Jni79wAUn5oj/fkeKLBaMNsy/5egJ/KD1fTbVj6zt/gO nPGmfTwFGv8u 5OsXtlETbah8miz6//QlHx31qQ0vjOzrZBDzZ82uyl8wfF1T9LvsS74xxBdIe58EtM6nN36poo2x63nAd5J6p9pUYXQ 9byF g/V1x2 P7TfosZOw/sIhw/lR//brudtwNuCtwkuS5gdnzJ7lzpZ9fVLqadc8QXnQGt8G66PekQbYFfz9Rs dfES5QuB0SyfLvNgwAPLB1T0GnS1o1XfTnn5NfZr7dfcrz2atazygNqzKfuzK3oNupqPrj5eAY3zOWjPiRFteF3LtzD74uU3Ki7oTcd3xnj2V//uo9eF6s13Z/nI6SoKafgLm5dM8WDIRx2j16Vr3a1eoYBGeFIvX9gbbWxdy3eVHKBWUsjLt9l7ja2 X NQcz5a7NfQryXy8t1lvmvqTBW9Vl3rc8qTvgKztprybLbRBtaVPIOyB3i 5RTl8WSAz1BHqr5fdF9Dfo2 r3ZUfu1QHl9v5Quo/dkXvYZd6deKI46YlS2VJxmLNqwudIbaX7WxbhPa4flQPqyuUdFrSvm6Sn1QsYp3PZZUPuXc5aNCnouN64Iwkp2V11 JNqia87dT32brwR3q5dOyeyp/w4teZ0qX7wjdQ3G6oW6 weUw1cUbEXyH5XMVMC3PwdG1Uw0ezPmQ76MUusXf7r6nmBwuXb5JwBfWRvMZoW6es szqmtfgD2w8/WdQMhzcPgQdrTx1JonVvPP5LuL0G0bK0 Pz3VC7eU7ifw79hpw6DYv1uq7YH1qM9oWas2DO65Nw0Msog5X0QZTY55t2Kto dCv3gGYc/O3ZfbflN0j/KOY02FfvHyLG9WXl0/2jZq7DtqYQXMm1a9K9dSeLFEz4i6uEK/PVL5g86na6JthabPpw2 ptZS6DffLOIFfW9S0bZSW79SnjQSPeb5brxCebSB1JTPV3u EWZqxkQ XeNrhKLthibPSwuw3Asm8p1jntDyVhVtNzX1B8VEtz3l21XPU9GGUUu 3uOzio0Y03mi6vqcVk30c8VdkpiOvzx/XtV zZ1nKF9VoUd8SPtCFW0QtfQLtYkCZsoX r9Q9W09u5nkGbe9bAIwikern6pom6qlSxTr0vWELxL1Cx5tCDXknRcf1JgLXyPmuwN9cW 0jfUpr /n08dMCIq58NxxF6toG6uhy9X6Ch3m6yFqnd3Z1/m8W3FnF5qyoar92 tc8vIinvcFaILvGHufulNF21vp Zb/jRQ6yBc01nor4/GKD2q05cWqS7f5TpeXB9hJAW3w6aQTVbTtlZ7njuPSio7ZQNW4ftLNymvV NoNoE2 JdazhUfbYVfybNmeyNBTXwBt8/V2N6hoWyw5fxnytU3oAE9edpmKXuiS81T7LKyI1LxmUBcvkvZ1f16hHUjJq7EfoaJtsuR8UwBnHSrn2/tqu9vLhyB3V0AuXgbAEwBG22dt ajPp9RiCsjFR4NqO818gfIADhVaQf1JRS9sqXnytdUUUILdlGcXj7bVGvKXCVbBRik8d9CxKtpWS 2PirUkK7OUOkNFL2iJ XZkzy7KInUojU8hn6Si7bbkfqaY4A2l8fWcXmS1pikofqc8AzYq4FsRa1rbyzNxPk4BpZpfvV/VMOvt3erfFDcOoGSbq5pWIvilYgqWwvkISk0XnH1RecAG1MDLafgW8mhbLqHzFet3oRaekPQrKtqWS wwxReLgh2ooheutPwt9RUKqI3XnfN6WdF2nbMfKxYDRo32Vp6RPNquS ujCgXaT0UvWGn59sKtFFCrBZSXj4i279T5Li//Xbh DjXzKbFLVbSNl9ZrFAryFHWvil6skvLFpCsroAteonJO 3 r2lUBXeA7l30ncLStl9R96hkKBdhY3aKiF6qkPq78zRnokserHBMn uYBFm9E13gf8UkVbfMl5VUKvLYmMvIkTaXP8uwjU/sooKs8Y/nZKtr 2 gXiut90GX7Kh9pibb/UvIpO85oZLKQOkVFL0wp cjU0xXQdZ4n5DgVvQ a7FvK732g63yayad5o/dBKf1GLaiQ2OdV9IKU0lVqMwX0hecL8tQO0fuhiT6juA0XfeJLPC5X0fuhlPy REIvVdELUUo HcBCpuir9yrfnRW9N2aTTwUwbQT6ag11joreG6W0l0ICnugs550n0 Up Jk2HH23s2piHTF/ /UEjECfeXmnE1X0HimhO5SPVqFFvvCx5NXdf6gWVgDmm28tNdvrgh5U31HLKQCDpSiOUdH7pYQ8E7sHamiBz/17gBH94kvocMXFYMDDbaN pGZyV4uP7n5bcYst8HC AaDk5Z6OUlVcp1fbxYTvVqVOw 07U3zbor 1AogtoZ6mfErLK7V7WQ1fK/R35RnST1ZeyNgrZQOIea6gQ5SX0CjRO9V/D56iCVuqUudEOFgxDT8AIBUfwCj1Tuj71dYKDfC3xgtU9IvOnTdAbssFAKTmfc9BKto35e6vyqvdY46 oqJfcO6 oTjyAwDIxYOgr6poH5W7LynMwfNV9IvNnS/0Yl0vAEBunoDUN FE 6rc7aIwCyupa1X0S82Z5/nhVncAQCl8d9ixKtpn5ex65TU7MQIf1vuxin6hOfPaY5zXBACUZlF1kor2XTnzXGBcKzuC16noF5mzMxWTPAEASrW0OktF 7CcvVZhBjx77G0q iXm6krl9VgAACiZ59j6m4r2ZbnyPn1NhWmUNtuzX7jHKQAAauB1uW5R0T4tV75GCVPYU0W/uFw9oHZSAADU5DnKkxJG 7Zc7a4Q8LnLq1T0S8vVAQoAgBrtr6J9W66uUcsqTFDaZE4fVwAA1OzTKtrH5erLCuPsoLwoYvTLytGJypNLAQBQM69YcLyK9nU58r7eiyJDPKlgSWt9Xa5WUAAAdIEnFr5CRfu8HP1FefLG3nuXin5BObpHbaUAAOgSr9B r4r2fTl6q o1j0pLulXvVQoAgC56vYr2fTm6Va2sequkld6/pQAA6LKvq2gfmKMvqF7aTHmeneiXkrpzlddRAQCgy7yepa/BifaFqfMYwJM29s4JKvqFpM7X/TDTMwCgLzZXpVwP9HPVK7up6BeRo95fiAUA6J2SbkDaWfWCb3u/SEW/hNR55Ok5EgAA6BPv 36lon1j6s5Xvbgt/t9U9AtI3c3KK88DANBHa6ibVLSPTN1rVKctoq5U0Q fuhcrAAD67KUq2kemzmuBdvpmpDep6AdP3REKAADMN99RKtpXps7zFHWSR3YlrPbuiRdXVwAAYL75VlW LCTaZ6bsatXJo0BvV9EPnLr9FQAA KcDVLTPTJ3PFHWKJ166TkU/bMpOUo9QAADgn3xX2K9VtO9M2TVqMdUZ/66iHzRlnvBwIwUAAB5uQ V9ZbQPTdnbVCcsoW5Q0Q ZsvcpAAAwuQ raB asutVJ44CvUFFP2DKLlaegBEAAEzO09VcqqJ9acpeq6o2vyph1ucXKAAAML09VbQvTdkFquqVGnZX0Q Wsl8qAAAwcyeraJ asuerap2ioh8qVQ qLRQAAJi5xyvvQ6N9a6o8CKvSVir6gVL2VQUAAEb3DRXtW1O2tarO91T0w6TqduXZLQEAwOi8asIdKtrHpupQVZV11P0q mFS9SEFAABm76Mq2semymOJtVU1/kdFP0iqvKbJMgoAAMzecupWFe1rU3WgqsJCKveyF0x6CABAM3JPjnitWlAV74Uq gFSxdEfAACas7S6SUX73FQ1Op9fWxMM7Td8zMWn324ZPAUAAHPkU2CfGTzNJvfYYlprqgdUNHpLkdccW1IBAIDmLKVuVNG N0Wek2gt1Yg2jgC9Unn5i1w qXz7OwAAaM5tKudRII9Z9hk8LY//cperaOSWojvV8goAADTPd4TlnBfIi7QWuT7Yc1X0F07V5xQAAGjPl1S0D07Vjqo4h6voL5sinxvcQAEAgPZsqHKuEfZtVZTFVM7DYj9QAACgfceoaF cIl LtKgqxotU9BdN1fYKAAC076kq2henaldVjJwLn56pAABAOmepaJ cou oIuQ /eVb7wEAQDqvVtE OUWe7qaI02B7qugvmCL/Epj4EACAtLzv9T442jenaDc1a03dS 1v3I5TDHxIQAAaXnf /3B0yxyjj3mWVzlPP21jQIAAOk9SUX75hR57OExSDZ7qOgvlqJzFQAAyOc8Fe2jUzTru8GaOAX27OFjDv87fAQAAHl8bfiYw7OGj8k9Ql2holFZ292nVlAAACCfldUDKtpXt91lKotNVPQXStFPFQAAyO/nKtpXp jRamRzPQWW8/TXEcNHAACQV859cpaxyIkqGo21nU9/La8AAEB viTlfhXts9su Rkh33p2j4r Mm3H6S8AAMqS66DI3corUoxkLqfAnqYWHjxNjtNfAACUJde eRE18oLocxkAPXP4mJoPsR09eAoAAApxlPLdYDmMfDv8XAZAI4 2GvJrddPgKQAAKMTf1amDp8klOwK0lNp48DS544aPAACgLMcPH1PbTC0xeDozsx0Aef2t QdPk2MABABAmXLtoxdQWw2ezsxsB0DbDR9Tu0b9afAUAAAU5g/K ocRhqbzHYAtO3wMbWfKN/yBgAAyuN9tG Hz6H1AZD/P1sPniaX69wiAACYmVz7ag AZntgZ0Y2VeMnIEqVb61bTgEAgHJ5VugHVbQvb7vHqBmZzUgp1/U/Pq/I7e8AAJTtBpXret0nDh nNZsB0BbDx9R O3wEAABlyzUf0JbDx2nNZgD0uOFjaqcMHwEAQNlOGz6mtsnwsXEeMN2hovNubbe2AgAA5VtfRfvytrtNPUI1LtcPdJUCAAD18HxA0T697dZR0xr1FJjvAMuB018AANSl6NNgow6AWju3No1cv0QAADA7nRoAPXb4mNrvh48AAKAOZw4fU2vlYM35Kjrf1nZMgAgAQF08IWK0T2 7xucgWkR5NuboD2uzKxQAAKhPjguh71MLqSmNcgrMV1XPP3ia1LnDRwAAUJccM0IvqNYaPJ3cqAOgHBgAAQBQp1z78GnHLDUMgHKtJwIAAOamEwOgXDMxcwQIAIA65TqIMe2YpfQjQL6YyXeeAQCA pw3fExt3eHjpEofAF2n7h48BQAAlfH6oTcOnibV6BGgHKfALhs AgCAOuXYlzd2DZDnAFpl8DSpy4ePAACgTjkGQKupKecCmukAaA3VyvLy02AABABA3XIMgDy 8dhlUjMdAK04fEyNU2AAANQt18EML8UxqZkOgJYfPqbGAAgAgLrlGgBNOXaZ6QAo12KkrAMGAEDdqh4ATXkYqUV/Hz4CAIA63TB8TG3KgzelHwG6efgIAADqlGMeIGvkCFCOa4BuV17SHgAA1OselWNS42oHQLlGjAAAoFk59ukMgAAAQFbVDoCWHj6mxPU/AAB0w03Dx5SWGT6GZjoAmnI66Zbk GUBAIDm5dinN7IURo4B0J3DRwAAULcc /RqB0DcAQYAQDfk2KdXOwC6f/gIAADqxgBoBBwBAgCgG6odAC04fEyJARAAAN3AEaARcAoMAIBuYAA0AgZAAAB0Q459eiMDoJn 75r0j EjAACo2wPDx5TmHz6GZjqwuXf4mNIiw0cAAFC3HNcSexHWSc10ADTlv6Qliw4fAQBA3XIMgKZcgZ4BEAAAaBtHgEaw2PARAADULcfNVJwCAwAAWS01fEyJU2AAACCrHAMgjgABAICsqj0CNOW/pCVLDB8BAEDdqj0CdMPwMaXVho8AAKBuqw8fU5py7DLTAdB1w8eUPACa6d8PAACUyfvyVQZPk7p2 BgqeQDkOQNWGDwFAACVWlnlmAdoyrFLyQMgy3HIDAAANCfXvryRAdCUh5FaxAAIAIC65dqXV3sKzNYYPgIAgDrl2pc3MgDiCBAAAJiNqo8AXa/ b/A0KQZAAADULce0Nv9QjdwGf6/6 BpUo8aPgIAgDo9cviYki/deWDwNDbTAZBdNHxM6bHDRwAAUKfHDB9TunD4OKlRBkAXDB9TWkYxIzQAAHXyBdDLDZ4mdf7wcVKjDICmHU21hKNAAADUKdc fNqDNgyAAABAWzYePqbW6AAoxykwYwAEAECdcu3DGz8FluNW FyjRwAAMDc59uG vSwdPmXKE8CErZreoRCgAA1MMHWe5Q0b69zWZ0xmqUI0CW4zTYUmqdwVMAAFCJddXig6dJtTIA uPwMbVth48AAKAOWw8fU/vz8HFKow6Afj98TG274SMAAKjDE4ePqZ05fJxSLQOgXL9EAAAwO0UPgEblAdNtKrroqM18RbevBQIAAOXzPtv77mif3mY3qhndODXqESCvrnrO4GlS86snDJ4CAIDCbaO8707NR388EJrWqAMga XQ0gxwHRAAAHXItc e8RhlNgMgLoQGAABTyXX9T6tjlI3UxHNuKbpFzWbABqDfllCPVFuo1RWfI0C7fOrLkxhH /K2W1u1xh8eOS6Edv4AA4Cp DNqJ/VVdZGa DlynzpFvUetrwA0a3M18X2XoutV645T0R/edv7AAoCI7/zYX0WDnsl6UB2uWHQZaM6/q j91nY/Uq3L9cP9WgHARD6Sc7KKPjdm0j3qnSrHXStA15ykovdZ271Ztc4XJEd/eNvdr5ZRADDGn0c3qOgzY9SOVgsrALOztPK Onp/tZ1PvbVuQZVjhVe3uwIA20HdpaLPitn2M8UgCJidPVT0vmo7T4A40g0Os70bwqO70wZPk3vW8BFAv/lujyPUovP qTnPUJ8YPAUwoucMH1PzaTdP1pyEL0iORmFt9zcFoN98wbPv5Io I5pqNwVg5vy vFJF76e2e4NK5kkq kukiDs2gH7bW0WfDU12ieJUGDBzj1PReylFG6tkFlJ3qugv0nZvVQD6yafuL1bRZ0PTvUYBmBnfSRm9j9rO8//MaAHU8WZ7DZB5MrFTB0 T23X4CKB/fOHzeoOnrdt3 Ahges8bPqY2dtt9Um9RE0diKfLkZZ7SHkD/HKKiz4U28kWVqQZbQM1WU943R jtnuVGtlcjgDZD4ePqfnvze3wQP/4vf/cwdMkfFg95Z8H1Mq3v891TDEbHgAdO3ia3gVq4mgsRZ71FUC/bK2iz4M2O1IBmJpXaojeP213hpqVJkZrPx4 pual9n3IDUB/5LjG4GmKJTKAya2qPCN7DrM tPEACjXoSf/3ZmnA iXHAMgL7 z2eApgMCLVI7TX3bM8DELL4txi4oOTbWdr/wG0A/ lumLkqPPgrZ7uwIQ 42K3jdtd7Ua fb3MU2M2LwsxgmDp8l5MkZOgwH94IuRZ/1hN0dPHT4CeCh/Mdl28DQ5X4LjgdCsNHXIitNgANqW826s7ZUnfwXwUC9UuU5/Zbv7a7yV1ANq4uGpFP1WAeg2Dz5uU9FnQKp8xBnAQ7W9Jt9k3a0WV7PW1KjN01Dnui3dt8U ZvAUQEc9WS05eJqN7wYD8E8bqlynv3zpjZfjmrUmD1t9b/iYw78OHwF0U64p9sfjOiDgobxUTK7r8g4bPhZhBeULoqNDVW13rfLdaAC6KdeEq O7V83pkDvQIQuoq1T0Xmk7H/lZQs1Jk0eAblC/HDxNbmX1rMFTAB3jtbg2GDzNytch5ZrsDSjNs1Wuu7B999cdg6ez1/SV25wGA9C0nYePJeA0GDDg01 5HD58LMqyyoeJo0NWbec/d0UFoFt pqL3fI646xSYb77l1T0qeo 0ne8GXVTNWdNHgG5WPx88Tc6Hp/caPAXQEb7mxneAlWJL5aUxgD7bRy08eJrc0cq3wM9Z0wMgy3kaLOchOQDNe4bK9UEb8aKoJQ3IgBxyXnKSc4wxLX87ynVozG2jAHTDwSp6n fs0wroqyeo6H2RohtVYzOyt3EEyAuj/nDwNIvXDR8B1M3zi Rc/mIyTIiIPjtg JjDkeq wdNyPUdFo7cU WJo3xYPoG6bq g9njuvSM9nDPrINxr5 pvofZGiRs/wtHEEyI5XVwyeJufDY/sPngKoWAmzP0d8ZOopg6dAr7xKLTJ4mtz5qtG7MNsaAPkb0rcHT7N4rWJmaKBupQ6AjPmA0Dee fnVg6dZfHX4WAXP3OqBUHQYK0Veoh9Anby0zgMqem XkJfmAPpkDxW9F1LkZbZWUVX5jYp mBT9SgGo094qel X1NoK6IuTVPQ SNEPVOPaOgU25pDhYw47qE0HTwFUpuTTX2M4DYa 2FhtP3iaxdeGj1Xxaq23q2hEl6IvKQB18WSDXlw5ek X1DcU0AdfUdF7IEXXqmqv6fVRoOiHSpGXzPe1BADq4W a0fu5tK5UQNd5jU/vS6P3QIoOVK1o xSYfXn4mMNi6vWDpwAqUeLkh5HV1YaDp0Bn a5q70tz8ACoytNf452hJo7qUuWps30qDkAdzlXRe7nEvHMAuspz/lyjom0/RSeo1qQ4AmRfGD7msJxikVSgDmsqX3BZCy6ERpe9QuW8/fzzw8eqLapyXtR4qfIkTgDK5iMq0Xu41Py5luqLJJCSb0a4UEXbfYouU/47tCbVG9drh S8JX4d9aLBUwAFq H29/GWV5sMngKdsqdaf/A0i4PUg4On9VtP YeJRnopOkd5DR8AZfL1BjnvNpltb1FA15ylou09RXcpf7nolGNV9MOm6pkKQJmeo6L3bekdo4Auyf1erGrdr5ny7a3RD5uqExWAMvmCx h9W3q3KRZfRpd4KaloW0/VFqp1qU8J ZojX1Tl02G5bK1OHzwFWrGa2kp5nhhPIuZFPW9SXkDTh5U9Ozoe7hK17uBpdbZTpw2eAlXbRuXclk9RTxo87Z43qmjElyqfhgOatpb6oJrurglfB dvV69UuSYXK9FjVPT7qqX3KKALfqiibTxVL1ad5UkJ/W04 sFT9QQFNGEZ9Ul1n4q2tam6Su2vuI16vvnerqLfUS39XAG186mnf6hoG0/R5arzp5M/pqIfPlUcBUITHq88V0W0jY2Sr01bWfVZ7msO5pqn vB8Z0DNfqyi7TtVb1Kdt6q6R0W/gFT5WiBgtvZQTW7DF6s1VB/5KNpsjqCV1tMUUCufGYm261T5zFBvlq3yAmfRLyFVP1HAbHj5gzYG8H9VK6q 8SSl0e jtj6igFp5nxht16n6qOqNx6qc5xqdr3YHRuGjl21ew9bHOWW rqLfRW2dqoAabauibTpVPoWcc82xLHJPjPhTBYziSBVtS03mBQj7wheAX6ei30Nt3a WVEBtjlfRNp2qg1Xv FRC9MtIGUeBMFPbq2gbaror1UKqD3Jfd9B0ta1lBjxRRdtyqjw1yIaql85U0S8lVccpYCa r6JtqI32U33guZOin7/WPqGAmvgu1GhbTtUPVG VcAGkj0QBU/EdWp7ROdp 2ugPqg/OUNHPX2t9ed3QDTuoaDtOma8/6i1fA/AXFf1iUvU7xUrxmMpbVbTttNlmqst80WPuGyGazofzV1BA6bzP84X70XacqpNU7 2tol9OynZXwGR r6Ltps0 pbrMF3tHP3fteY4ooHS7qWj7TdnTVe/Nr85X0S8oVf7zWdEZkfVVtM203Q2qyxdDp7ijLkcHKaBk3ufmPvPCtBHj7KuiX1LKXqWAiXJeqLur6iJ/2bhFRT9z7Z2ngJK9RkXbbsqeqTDkD8RLVPSLStXVanEFjJfzm1JX75Dwoe/o5 1KfV3WBOXzPs77umi7TdVvVXYlrULtScQOHDzNxrP8vmHwFJjHqyNvNHiaxU6qiwuldn2 HO4sRaneoryvy lDw0eM46NATayuPZd8WH55BdjHVbSdpKyLKyTnvuav7bzWIVAarzV4q4q22VT5hhLuup7E61X0S0uZd3qAj5BeoaJtJGV/VF2ynop zi51uQJK8zkVba8p81FtTGIRdZWKfnGp8sJs/pBGvz1ZRdtHjjZXXeHTzNHP2LV89yBQikeqe1W0raaqqKM/JV0DNOYe9ZHB02w8CMt9PRLy22v4WIJ9ho9d8NzhY9c9bfgIlOA/Ve5pNT6sPBDCFHwt0EVq4ugxdZ4mHP3kbfDvKtouctSVOYF8B4qPsEY/Y9c6VAEl8IKnuWdd97I3XPszQy9X0S8xZV7XxxNGoX98l1K0TeSsC3MCPV9FP1sXu07xgY/cfKanhDX3mPV5BB54/FlFv8iU9WVVbjzUt1W0PeTsaFW7g1X0s3W1jRWQ0/4q2jZT9iuFEXl9ruiXmTJ/i1tKoT8WU7eraHvImefK8gKitfLRkBLuqkvZGxWQy5LqGhVtmynbRmFE/sAs4dDdxxT640Uq2g5K6M2qVl7dPvqZUnR98J l6IcKyOW/VbRdpuwohVl6lop qSnzrYPc0tofPtUUbQcldK6q1XtU9DO1nS/ zHXrvSdW5TpC5ODb3n1XdbRdpupBtanCHPxSRb/clH1PofuWUbk/NKar1jmBvPpz9PO0nW9m8Ozu/jCO/vu220oBqf1IRdtjyr6hMEe hS/65aaO2 K77xUqeu1L6jOqNh6APKCin6ftPqrsLBX99233LgWktKOKtsWU czJugoNKOG0hE8/LKDQXSeo6LUvKc9PVNucQC9V0c SIn Bsk o6L9vu58pIBXvo7yvirbFlHnZDTRkQ3Wfin7RKfNKuugm32GV6yjFqL1A1eQ7Kvo52u5GNXYNTq65ne5UCysgBd8oEW2HKbtNrazQoINU9MtOmV/Y1RW6x7csR695idU0J5AHIJ7JOvo52s4DrzG JTjXlyivKwe0zV/ifOF9tA2m7N0KDfNS/iW8uOM/VNEdv1XR611iNc0J9CQV/Qwp2luNd5qK/ndt90EFtO0wFW1/KbtSeS41tMAjy iXnjoWOuwWr/6fe62cUatlTiAvwhj9/dvOd32tpMbzBdHR/7btTlZAm0q48NlN/NKBBnml9stV9ItPmZfp8IKZ6IZcc9TMpVrmBPqjiv7 befb7ifKtZPwHTFeCBZog2 KOE9F217KfKel1x5Di/ZR0S8/dW9T6IYS7pqYTY9XJVtT5Tqy9j41kb9A5VqN3pO6Am3wth5tc6ljwdMEPMI8U0UvQMq8XhQXRNdvExW9vjVU pxAr1HR3ztFW6hIrolVD1RA09ZWd6hom0sZS14k5JFm9CKk7nCFuuW6LqSJSp8TKNdstF4A0msJRnJ9W/aXNqBpP1bR9pYy3135KIWEjlHRi5G6ZyvUyTvJS1T0utbSbqpEPt3kOXCiv3PbfU1NJtddaZ5jalkFNGVXFW1rqatxdvrqbaB8cWH0gqTsUsUFjnXaVkWvaU35KEuJ/MUg vumaA81Gd 84NPX0f v7WqbwBLlWkKVcEPQTcpL3VSn9qu1L1SfHjzNah3FPB912mv4WLPnqBLnBPLMyzl4jqQTB09D/u9/M3ia3FOHj8BcfUStNXia1fuVZ1xHBp7d9SoVjUxT5g/V0u/IwUN5huJrVfR61laJS7RcpKK/a9v9Qk3nHSr6/7bdnxQwV1upEpbt8fbM piZlXJb/NmKjaEez1DR61hjpc0JtJGK/p4peruajncg0f 37TwlwKoKmC3vYzzfTrR9pY4jmgXwhay5prifWC2z82JwoWz0GtZaSUcgPUdW9HdM0WPVdHz0z9cuRP//tnuJAmarlElbvewGCuE5Pzz1ffRCpcx3vayrUDavzn2zil7DWivpToxcc 34otCZ8oKy0b j7b6igNnwjT 5JvIc313K8w hIIeo6MVK3U8Uyua7caLXrua84roHdrktpXKtun6Qmqlcq/9frIBR UyHL 6PtqnUvVehMCurElaLd3sqlOt7Knrdam93ldsLVfR3S9FOaqZyzgDOUWKMan8VbUup8wDec3yhQDmvPRifZ6JdTqE8vnPQh3Cj1632PDlobrmOxPrUwGJqpvyN joV/bvabj8FzJQvnC/llP3zFQrlK TPUdELl7pvKZTnZSp6vbqQp2PIOSeQ5xbLNbXAbE49 0LO6N/Vdt9WwEwdoaLtKHUnKBTuySrXCtQTG WQPNI4VkWvVVd6q8ol1 3l7t/UqF6lon9X212tJlurDBjPS91E21Dq7lEbKlTg6yp6EVPnDzrW/ynHCirXBbqpyjnZnmdEj/5OKVpfjcp31UT/rhR5riRgKv68KmWy1g8pVMJrk3il7OiFTN1UCzMirdeq6DXqWp4WIoczVPT3abvz1GxdpqJ/Z9u9XgFTOVxF207qvOwUFz5X5tUqejFz5PWakN/JKnp9utZnVWorqVxzcX1CzVauo8VHKmAyvtg42m5y9FyFyviCzFNV9IKm7kq1jEI a6oSJstMkRcnTD0n0L4q rukaEc1W7mW0vFdPZ6RGpiopFNfhypUalPlO2OiFzZ1Byvk4zWiotelq6WeE j7Kvp7tN3tai6DPQ Mo39vilhAGZFS5im7Va2uUDEvERC9uKnznWnPUsijlAUEU/UjlcqCKtckpEepufI1DtG/u 1msnAr qWkU19cp9YBnprfd2NFL3DqLlWeiA9p fbN6PXocinnBHqaiv4OKfIMuXP1JRX9u9vupwoYs6LKNTnnxHxDQ6dP0foamT64TXndnxKsoz4 eIqE rgCtycF3XvwtHXPGz6m5g/qJgYRvxo pra9WmjwFJi3lp1vJsjNZyt89MfXTKIjfqgmjnJz5I0r1w6jr85X0WuRopzf6M5VKfg29OjPb7uzVRO808k1eeqTFJBzDb2J5biLFC1bTZWynop3iiWM9PtgSxW9Biny lS5V573z98mL wZ/bkp qhqigeL0Z/Rdu9X6Dfvm25Q0faRustVLy7T6MspsDG DqiUZfw9 PF1B2jfXsPHHLzsxtHqknn/lIdv825TzuVeZrP 12R MXxM7anDR/STl0T5ivLkvSXwkjK sxId5EHfr1U08s1RH69NScmv9xUq t2nyOv4WM4lItqeE g4Ff25bXeT8nVOTdlVRX9O292rRlnFHt1ygIq2ixx9V6HjfEeQT01EG0DqfEpuLYV2PEVFv/cUeQ6NRZX54vecC/TuodqwuMr1Xmr6w9oTlT6goj r7eYykSPq9Ujloy3RNpE6n4Lr1WUZfTsFNsYXxB44eJqdP3T/V7EydDtynv46QnlwYF5vystw5NLWabCnq1xrBDV9C7nnMfrD4GlynkYA/eKjl99WS8z7p/zeoq4fPEXX dZTr5odjYRz9DqFZnlyvpwXFk7cqeVcKsJzAq2qmvZlFf15befbc9v4tuovRtGf13a/VegXX/webQs5 rniS3jPbK1KWRvqTvUoheb44tzod50iX3A/cRIxny7Kebj7bappvmMk rPa7jTVhmer6M9rO596Y63A/vASKPepaFtInfc9PhXXOyWO HyxpgcmW6j1lBeFa3M2Sp97X3bwNDtPx9/UvCaYb75N1KMHT5P7pHrr4OlDHKL dfA0uT rjQdPG/E4lWt7/YD68OBpozxI9cXVOSYn9BIIKZcvQR6 LtDL8uT6bJrIp74 NXjaLyUNgDZXnq3ZCziWck4UmC3PvfP7wdOH8EXZvxw8zeIJylPcN Hdqsl5eEaxlTpz8LRxvks0x SEX1ClTNOB9njgXsoaW6er7RQzPmeysjpM5bxDhqjJ/qom4y8dnhMo v l6POqKb9R0Z/RdteoNr 8fUhFfy4RDfINA34fnqp8HaCnc EU7oieqK5V0S YqNamm9nXp2 i/1 KmpoTaDmV65Zxn0ZsU86pE4hqzXe8fl1toKqQ8zZ43yFzgvIRIKAr/EEw3fw031T 3 Xggcsug6dz4ouFc60U3eTszxFfYD02fQGAmfF0GJ5uw9caeuLXJicpbUWuAdDa6vtqbJI4oCt8Tv2iwdNJXapOGjzNoomLsJ87fEzNt/P7i1ObPDPzKYOnAEbk6Ud8lNvzdC3l/6BUOQZAY5M/lXLnFdCkmc5O7EPFuTxTzWVOIB/58RGgHHzNga8/aFvOC9WBLvAd1h4E5ZoodVo5BkCvVDnusADa5jspDh88ndaR6o7B0 T8JWTvwdNZ2UblWrix7dNfY3ItjAp0ie8w /jgaXlSD4D8zbGNydiAEpyorhs8nZYHPz4NnMtcToPlOv1lqQZAvsX tsFTAHPgxV53HjwtS oBkCf66uWMk iFURfnzHka7DHKc nMxvOGj6n9TXn5mhR8h5vnAwIwN56y4n9UrmuOJ5X6L1TkKBBowD3qh4OnM bFUS8ePM1iNgukrqE2HTxN7tjhYypcBwQ0Y0O16 BpOVIPgFjxGF3lJQxuHTydMd8K/63B0yy8Uv6ocwL56E uGeSbXv19Ol4gEkAzilvwO UAyHedrDV4CnTOqKe/xuSeE8inpUeR6/ofH2FLfWHyH5UnjgQwd574eLHB0zKkHACtMnwEuuZmddzg6chyzwk0ymkwHy3KdRT3V8qrVqfk5Xn85wKYO39 eBBUjJQDoBWHj0DXHKE8ed5sfWP4mMOz1GqDp9PyEhG5FipOffprDNcBAc3ZZPhYhJQDoJJWngeaNNvTX2N8O3yuOYE8NcVM5wTqw 3vEzEfENCclYaPRUg5ALph Ah0yRVqrrdL554TaKanwXLd/n6Bmm55kbacp64ePAUwRysMH4uQcgB0/fAR6JJDla8VmavccwI9YfB0Uo9WuebwynX0ZwynwYBm GaGYqQcAF2prh08BTpjrqe/xpQ J1Cuoz Wev6fiRgAAc2Y6Uz5SaQcAPlWX 6oQJd4VuJzBk/nrIQ5gaZatDDX9T8 PZh7RmauAwKaUdTp5JQDIMt1JwfQhoOGj03x3WBNnE6bjWXVLoOnD7OU2n7wNDlPRjiXO ya4KkKch6dA7rilOFjEVIPgLxS9jWDp0DVPEGeJzFs0mUq55xAky2Q ky14OBpcrmv/xnjqQ4AzN5V6q Dp2VIPQDyN7nPDp4CVXunumvwtFE5L4b2QCeaEyjX6S fFixlAHTY8BHA7Bw1fOw1T4X9Z UPN6IaO1G1Na/V4uo2Ff25KXqHGs8/p4/aRv/btmvq qqm BR 9Pckoqm7X62ripL6CJD5W7MvuCzqdjhghs5Xeyq/qdvg5R5yzgk08TTYFirXMjalHP0Z46N ua7RAmrmI6i lq4oOQZA5kUGX6kenPdPQB0uVM9RbS QmfM02EZq68HTeXLe/l7aAMifW/85eApghnwE S2DpxjvhcrfeCceLiMqLd N5NXTU/BpJ991FP09UvRFNeZ3KvrftN1NagFVGn9p9MK30d ZiB6aD3I8QxUp1xGgMb6zYit12rx/AsrjJVz2V34Te6ecgj84ci6Q6lN8nhNoZbWl/4MMfqYeGDwtik B7aFOmPdPACbj98qrFe Vafgb7wuUbwH2L23iKJIodWep16olVQ7rKH97iv5uKfIgyNcDRf9dil6uSraQ l8V/d2J t6t6vmqaCWu0L6merryxZfrqRVV7iNVo/AO81GDp8XwNStHDp5iEr7zytO0X6J o0pYu84zED918DQ5n a5Xfk0dWr ErSqqmH9QF8j9QW11rx/AvrNg58fqDcpLxSNnvE3w9PVxBFx7kr/Ro2H82sWvZYp8uknD4Ci/67tfN1RTfyef5ny 54j2NTHvM6nvwhsrqpR4hGgLvCRK59CWXreP5XhbvUk5b8X6uA5gXwHRa7TcLl8UH1o8LQ6PmL9FOUV9v3c8Tlbp53VVOvjpea7EEtZTsqn529Wf1Oe1 8vygMhYB5fKDlxlJy7y5U/kFGPr6notexyuS68Bsb4tu1o28yVBxvFTSQITMW3E0cbc848i3GJtxcjtoOKXseu5uuwarrmD93ja1A9c3G0feZqNwVUxYdP/6CiDTpnByrUwadPLlLR69jFDlFALmsrX3wfbZu5Yv1MVGsDlXNtpyhfqPkihTp8QEWvYxfLcdcZYIuqM1W0XebK6 GVdB0SMLIXq2jjzpnv8NlYoXz VppzTqBU bTDMgrI4VAVbZe58mf0hgqontd3ijbynF2g2OHUwUtxRK9hl/qVAnJ4h4q2yZy9RAGd4Fuax24VLKnj1fwKZcs5J1CqvBMCUttRed6raJvMlefUATplU3WXijb4nHneFZTNA jSriVruk0UkJLnbPNM dH2mCvfOMN1P ik/VS00efMF0Vzm2X5urz2lCdUA1JaQnlywWh7zJWv 3m0AjrLt/pGG3/OblGlrWGGh9peRa9dF/KcWUAqnl7ieyraFnO2lwI6zYc3vSRF9AbI2V/VUgpl6vKcQF52AEjl3SraDnP2OQX0wvrKR12iN0LOvJIvaxeV6/0qet1q7h7l0xFACs9QpV307AWAF1ZAb5S4Xph7l0KZujgnkO9EBFLwF8 bVLQd5uoG5fc10DufUtGbImfewe6iUKauzQn0BgW0zUcZz1XRNpgrf9Y RwG9tKA6VUVvjpz5luvHKpTnZSp6zWrNy8UAbfICu0epaPvL2X8ooNfWUKUtwOcuVSsqlKVLcwKdr4C2fVRF21/OfCSXSWgBeboq7cI8d7JaSKEsXZkTyKeAgTZ5gV3PdRZtf7m6Rq2iAAx5RubozZI75mgpT1fmBHqmAtqyjbpbRdteru5T2ykA4/g89bEqetPk7gCFcnRhTqA7FLf oi2rqStVtO3l7E0KQGBZdbGK3jg587eWpymU430qeq1q6WgFtMHXyXlNrWi7y9nhinnWgCl40dQ7VfQGypkXDfQ8GihD7XMCvUoBTfMAwwONaJvL2XmKmfaBGXiJit5EufObeGmFMtQ8J9BaCmjax1S0veXMd21upADMkNeGid5MuTtOcftmGWqdE gcBTTtRaq0O77899lNARiBJ0n0bejRmyp3Byrkt5i6VUWvUcn9pwKatKW6S0XbW858dy AWfBcEVep6I2Vu/0U8vuqil6fkvNt/EBTfMdXiZ TXueOo XAHGyr7lXRGyxnnl/D82wgr9rmBPJilAsooAk CnqGira1nHkm/eUVgDl6o4reZLnzjKZrKuT1VxW9PiV2mAKa4LnTPJ1CtJ3lzKfiNlcAGvJtFb3ZcneW8krLyOe9KnptSmwfBTTB15JF21juXqwANGhRdaaK3nC5 5HiXHc vqW8hjmB/HdcSQFzVeodkJ9QAFrgi/2uVtEbL3efVMjnRBW9LiX1OwXMla97u0dF21jO/B7k jagRV5Ir8SLot3rFPKoYU6gDyhgLh6prlfR9pUzX/S8ggLQsteq6E2YuwfUzgrp RTpLSp6XUppKwXMlu qukBF21bOblebKACJfFlFb8bcedr3xymkV/KcQP7W7rt2gNlYRJ2iom0rZ57p2TNQA0jIM0WfpKI3Ze6uVKsrpFXynEBfV8BseIHT76hou8rdhxSADFZWV6jojZk737G2uEJapc4JxLdkzJaX3om2qdx5DiKOagIZecKtO1X0Bs3dMYrb49N6n4pei5z52rDlFDAqL7kTbVO5O08trQBktreK3qQlxMKpaa2hPOCIXotc VQtMKpnqftVtE3lzMu5bKAAFOJ/VPRmLSHftYZ0SpsT6J0KGMVj1c0q2p5y5sk8n6sAFMTnoj0jc/Smzd19akeFNEo7IsgtwhiFJ3z9m4q2pdy9TQEokNfkOkdFb9zc3arYEabhOYFK fbsi/R9Fw8wE17d3TOGR9tS7g5RAAq2trpWRW/g3Hm2VN 5hvZ9RUWvQeq pICZ8A0TJa7u7k5WCysAhfNyGXer6I2cu9OUj1CgXU9S0e8/dbsoYCY r6JtKHcXKs9CDaASnnfFs5RGb jccXt8GrnnBPKClT4tC0znzSrahnLnU/e IBtAZT6qojd1CXFqpH3vVdHvPlXHK2A6PkpY2tQNzrfgP0MBqJAvPj1MRW/uEnqHQntyzwn0RgVM5cmq1NP1BygAFfP1Nqer6A2eO5 ie5lCe05Q0e8 RUwWh6k8RnlSwWjbyd1nFIAO8Lwapa4ZxhxB7co1J9DFCpiMP5MuU9G2k7vj1AIKQEc8XpW6ZpgvNHycQvNyzQn0aQVEllJnq2i7yd1f1DIKQMfsrkq9M xKtaZC83LMCfRMBUy0kMp5WnaqblDrKwAd9X4VvflLyN8K/e0QzXqiin7fbeUjTkwah4m8XM hKtpmcucpGzx3FoAO851hpX4IOX879LdENMevuQ/tR7/vNvqCAib6hIq2lxJ6uQLQA74upNT1dtw3FetHNWtfFf2um86nWDdTwHilTnToPqYA9MiqqtQVl91HFJrjo2qe0j/6XTeZB6/AeHuqB1W0veTuSOVTcwB6xt/U71DRB0MJvVqhOZ50rs0d0Y1qdQWMeYry9TXR9pK736vFFYCe2lWV u3MU9HvpNCcD6nodz3XPOM0d35hvE1UjikYZtJVisE6gPnepaIPiRLyEaonKDTD11YdrKLf9WzzAHp/BYzxlBalTr7q dC2VAAwT465Ymba39WGCs3wNQ8fVk3MCeV1nF6kgDHLqj paHvJnbf5PRQA/H e v2nKvrQKCFPm88h62Y9T12iot/3TDpNbaSAMb7D9Ncq2l5K6J0KAB5mSXWWij44SuiPyt8u0RzvsN6uRhkI eJR39kzvwLG EvUMSraZkroiwoAJuVFCi9X0QdICfnbpXfaaJZPiz1VfVB5Mso/q uUTz964Hm0eofaVAET dqyb6joPVtCHpgxYAcwrceom1T0QVJC/jBjtWagHB9X0Xu1hM5USygAmJEdVKnzdzhmiwbK8O8qeo WkE/trqIAYCQvVqWuHu8 qgDk4zW0Sv2M8MScj1YAMCvvVdGHSyl5jSEA6e2iPFlp9L7M3b3qaQoA5uQgFX3IlJC/fbKSM5CWl7jwHFDRezJ3/kx4qQKAOfPdEz9U0YdNCd2nnqUAtM93Apa6xIV7qwKAxpQ R5Cnt99WAWjPI9U1KnoPltCXFAA0blXlGZmjD54SYskMoD2eI2wuM4e3HXP9AGhV6XME QPaAzUAzVla/UFF77kSOl0trgCgVb67wndZRB9EJXSOYskMoBmLqd o6L1WQhepFRUAJLG3KnmOoFMV3wiBuVlQHaui91gJ bT3BgoAkip9jqAT1cIKwOi8PtyhKnpvlZBvw99OAUAWJc8R5H6gWDcMGI2Xmfmyit5TJfSg2l0BQDalzxHkvEo164YBM/ffKnovldIbFQBk5zmCzlDRB1UpebVqANN7n4reQ6X0SQUAxfBdGOer6AOrlN6tAEzuDSp675TS4crXJgFAUdZUf1PRB1cpvUkBeLiXKV9bE71vSugXipsaABRrY1XyRIm dX9fBeCfdlWlruzuzlaejBEAiraN8tpc0QdZCXnx1J0UgPnm21Hdo6L3SgldqFZWAFCFnVXJ3yjvUjsooM/8ZeV2Fb1HSugqtY4CgKr4moKSZ4u VW2pgD7aVJV8uvoWtZkCgCq9R0UfbqXkqfQ3UkCfePmIa1X0nighH6HdXgFA1T6rog 5UvKdaxxmR1 sra5Q0XuhhHzqfBcFANUrfU0hd7FaXQFdtpryRcXRe6CEuEsTQOd4VemfquhDr5Q8keMqCugiT1b6ZxVt 6X0DgUAnbOYOlVFH3yldI5aTgFdsoz6vYq2 VL6nAKAzlpBnaeiD8BS q3y mZAFyylfqeibb2UvqNY4gJA59WwZMYpanEF1MxHXU9S0TZeSieohRQA9ELpS2a4n6lFFFAjr5tV nV3PjLFFw0AveNZaO9Q0QdjKR2tfAE3UBMfUTlGRdt0KfmCbK63A9BbpS Z4Y5Q8yugBt5WD1fRtlxKnodoLQUAvbafKnnJDPdV9QgFlMyDn qaBsupRsUs68DwNBbVfRhWVKfUUCpPED/moq23VLywqtbKwDAOP hog/NkvqkAkrjwc9BKtpmS le9WwFAAj4KEv04VlSXuAVKMknVLStlhLrewHANPxN9hAVfYiWlE/ZASX4iIq20VJ6UL1UAQCmUcNdLO7tCsjpAyraNkvJNze8RgEAZsjzmByrog/VUvKH wEKyOFtKtouS qdCgAwokVV6dP4exD0agWk9BYVbY8l5ZsaAACz5IUcz1TRB2wpeRC0vwJSeJOKtsOS rwCAMyRV5D3tPnRB20pPaC40BNte4MqfdLQbypWdgeAhqyuLlHRB24peRD0YgW04ZWq9MHPD9QCCgDQoEeqq1T0wVtK96nnK6BJr1C nTza5krpBOUV6AEALdhYeS2h6AO4lDzjrRd5BZrwr6r0wc pagkFAGjRZupmFX0Ql5IHQc9TwFzso0of/JytllUAgAS2U3eo6AO5lO5ST1PAbLxQeQmJaNsqpfPVygoAkJCPsPiam iDuZQ8SNteAaPYU/mi mibKqWLlW9OAABkUMOO4nbFIAgztYcq/ciPb0ZYTwEAMtpPlX57sAdBT1LAVGo47fV39RgFACjA61Tpg6Db1BMVEHmRKn3w45sPHq8AAAV5o4o tEvK1wQ9RQHj1XDkh vZAKBgNSwSySAI49Uw LlT7aAAAAX7kIo xEvKgyB2KKjhtJenc3iqAgBU4GMq jAvKQZB/VbD4McTej5XAQAqcqCKPtRLikFQP3n6hhoGPyzpAgAVeoQ6SEUf7iXlQdCTFfqhhsGP59byESoAQKU8CPqSij7kS4pBUD 8WNUw NlLAQAq9y/qWyr6sC8pBkHdVsPgxwuv7q0AAB0xv/qeij70S pW5YVe0S01rOruv98rFACgYxZUR6vow7 kfCSI2467w0u1lD748SzqBygAQEctpI5R0U6gpDzx3NMV6vYqVfrgx71dAQA6zoOgn6hoR1BSHgTtqFCn16jS16dz71IAgJ5YTP1SRTuEkrpHMRdLfd6qoteztN6rAAA9s7g6WUU7hpLyhHS7KNThHSp6HUvrwwoA0FNLq9 qaAdRUhwJqsP7VfT6lZZnSQcA9Fwtg6D71G4KZfqgil630vqEAgBgnloGQZ6l96UKZfkPFb1epcXgBwDwMDUNgpittwxeauVTKnqdSuuTCgCA0DLqdBXtQEqKQVB Hvx8TkWvT2l9XAEAMKVajgR5jpnXK6Tn9eW oqLXpbQ48gMAmLGaBkFvVkjH68p9XUWvR2kx AEAjKyWQZD7gEL7PIv4kSp6DUqLwQ8AYNY8CPqdinYwpfVfCu3x7OHHqeh3X1oMfgAAc1bTIOgg5Ytz0SzPGv5zFf3OS4vBDwCgMTUNgg5WvkgXzfCdgaep6HddWgx AACNq2kQdKhaQGFuVlJnq h3XFoMfgAAralpEPQjtYjC7KyizlXR77a0PBkjAACtqmkQ9BO1qMJo1lYXquh3WloMfgAAySyrzlTRDqm0fPHuEgoz82h1hYp l6XFaS8AQHK OLaWI0GnKB 5wtQ2Vdeq6HdYWixsCgDIxkdWfqmiHVRpnaVWVIhtoW5Q0e utA5UAABkVdMcMX9Rqyk81PbqVhX9zkqLCS8BAMXwLME/U9EOq7QuUesqDDxV3a6i31VpvV8BAFCUhZVvPY92XKV1uVpf9d1O6m4V/Y5K690KAIAiebHMH6hoB1Za16hNVF 9WN2not9NSXnF/zcqAACKVtOK4TeqrVTf7K3uV9HvpKQ8 HmdAgCgCvOrb6lop1ZaN6ttVV8coB5U0e ipB5Q yoAAKriQdC3VbRzK63b1FNU1/k6mujnLy0fnXqJAgCgSl6V/Wsq2smV1j1qd9VFj1CeOyf6uUvLg5 XKgAAquad7 dVtLMrLZ922U91iY/EfUVFP29p3ateoAAA6AQPgj6jop1eafnC27epLvAF6Ueo6OcsLR B20UBANApHgR58cpo51ditc847Bm6j1fRz1Zad6pnKAAAOus/VbQTLLEvKF/HVJvl1ekq plKy7NQ9 ECdAAA5nuninaGJXaU8izXtVhV/VFFP0tpeQqC7RQAAL3h Wh8vU20YywtL/a6pCrdeuoiFf0MpeVJKJ gAADonf1VDZPyud8pn1oq1cbqKhX93Uur78uQAABQzZpU7s9qdVWa7dUtKvo7l9ZlioVoAQCQnVUtq5JfqjZQpXieuktFf9fS qtaUwEAgKFnq1p25D6Fs5nKzctF1HT0bDUFAAAm8KmcW1W0Ay0t38H0JJVLLYuaujPVCgoAAExiS3WDinakpeUJ/J6jUqtpGoGT1VIKAABM47HqahXtUEvLi3fuo1LwbNqfUNHfo8R oZZQAABghjZStdzW7VNRPiXVpgXVt1T055fYD1RNE0gCAFCMdVQtE/s5L/jqozRN87pex6rozyyxQ5UHbAAAYJZ827Rvn452tCX2NbWAaoovHv6tiv6sEjtY1bh GgAAxVlOeSbmaIdbYieoJpbOWFudp6I/o8Q q9o4AgYAQG8trX6toh1viXk19pXUbPlC8CtU9O8usf9SAACgBYupn6hoB1xiF6vZzBq9japlKgAvaPsmBQAAWrSQOkxFO MSu1ZtoWbq aqWGbFTTgEAAEDvza rKKdcondoWYyYeK yoOK6N9RWveoFygAAJCQL7Y9UEU75xLzwOaVajI1ze58u3q6AgAAmXjg4OtQoh11afnv UE1no9mfVFF//sSu1FtrQAAQGavUbUsDOo pzxXjmdKPnz4n9WQlyfZWAEAgELspe5T0Y67xI5QJ034z0rOk1GupQAAQGGep2q5g6qmzlWrKgAAUKgnq1tUtCOn0TtZeRJKAABQOF ncqWKdug0836kFlUAAKAS66oLVLRjp n7pmJFdwAAKrSyOktFO3iavM8oFjUFAKBiSyivzh7t6OmheZ6idygAANABnm/Ht51HO30a9ICaaqZqAABQIc 4fLCKdv59z t67aYAAEAH boWL0URDQL62s1qewUAADruDaqmpTPa6hq1mQIAAD2xj/IK7dHAoA95igBPFQAAAHpmR3WbigYIXe50tZICAAA9taW6TkUDhS52vFpSAQCAnvOpoPNVNGDoUocoZncGAAD/3/LqVBUNHLrQfykAAICHWVz9WEUDiFrzBIevVgAAAJPq0oSJd6idFAAAwLS6MGHiDWo7BQAAMJJXqBrnCrpEPUoBAADMyvPVXSoaaJTYGYo5fgAAwJxto/6uogFHSf1MMccPAABozEbqMhUNPEro64o5fgAAQONWVX9Q0QAkZ57jxxduAwAAtGIJ5eUkooFI6jzHz2sUAABA6xZW31XRoCRVtyvm AEAAEnlnCvoarWFAgAAyGJfdZ KBiptdK5aSwEAAGS1o7pFRQOWJvNt7ksrAACAImysLlfRwKWJvqq4zR0AABTHt8n/XkUDmNn2D VrjQAAAIrlmZiPUtFgZtRuVrspAACAKrxc Vb1aGAzk05V6ykAAICqeFFSn77ykZxokBN1lvLgaX4FAI1j2ngAqSylfKeY20qtolZUd6trldcY 4U6QZ2tAAAAAAAAAAAAAAAAAAAAAAAAAAAA0EPzzff/AIrnOKlssitrAAAAAElFTkSuQmCC</xsl:attribute>
<xsl:attribute name="alt">Puls</xsl:attribute>
<xsl:attribute name="width">50</xsl:attribute>
<xsl:attribute name="height">50</xsl:attribute>
<xsl:attribute name="clip-path">url(//g[1]/defs/clipPath/@id)</xsl:attribute>
</xsl:when>
<xsl:otherwise>
<!-- no suitable image id found -->
</xsl:otherwise>
</xsl:choose>
</img>
</xsl:template>
<xsl:template match="n1:rect">
<img>
<xsl:choose>
<xsl:when test="@id='rectVitsig1'">
<xsl:attribute name="cx">25</xsl:attribute>
<xsl:attribute name="cy">25</xsl:attribute>
<xsl:attribute name="width">100</xsl:attribute>
<xsl:attribute name="height">100</xsl:attribute>
<xsl:attribute name="fill">#FFFFFF</xsl:attribute>
</xsl:when>
<xsl:otherwise>
<!-- no suitable image id found -->
</xsl:otherwise>
</xsl:choose>
</img>
</xsl:template>
<!-- text-circle element -->
<xsl:template match="n1:text" mode="circle">
<text>
<xsl:choose>
<xsl:when test="@id='textVitsig1'">
<xsl:attribute name="transform">translate(-25, 25)</xsl:attribute>
<xsl:attribute name="text-anchor">middle</xsl:attribute>
<xsl:attribute name="dominant-baseline">middle</xsl:attribute>
<xsl:attribute name="font-size">4</xsl:attribute>
</xsl:when>
...
<!--TAM circle element -->
<xsl:template match="n1:circle">
<circle>
<xsl:choose>
<xsl:when test="@id='circleVitsig1'">
<xsl:attribute name="cx">-25</xsl:attribute>
<xsl:attribute name="cy">25</xsl:attribute>
<xsl:attribute name="r">20</xsl:attribute>
<xsl:attribute name="style">fill:rgb(255,231,186);stroke:rgb(255,127,0);stroke-width:1;</xsl:attribute>
</xsl:when>
.....
uj5u.com熱心網友回復：
我不確定剪輯路徑需要什么，最后你只需要根據需要定位圓圈、文本和影像，例如
<svg width="300" height="300" viewBox="0 0 1000 1000">
<circle cx="500" cy="500" r="490" fill="lightgreen" stroke="green" stroke-width="3px"/>
<image x="375" y="375" width="250" height="250" xlink:href="data:image/jpeg;charset=utf-8;base64,iVBORw[snip]"/>
<text x="400" y="820" font-size="80">60/min</text>
</svg>最后，最好將所有三個專案分組為一個符號：
<svg width="300" height="300" viewBox="0 0 300 300">
<defs>
<symbol id="circle-text-image1" width="200" height="200" viewBox="0 0 1000 1000">
<circle cx="500" cy="500" r="490" fill="lightgreen" stroke="green" stroke-width="3px"/>
<image x="375" y="375" width="250" height="250" xlink:href="data:image/jpeg;charset=utf-8;base64,iVBORw0KGgoAAAANSUhEUgAAAkAAAAI2CAYAAAC44TfqAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAAAGYktHRAD/AP8A/6C9p5MAAAAhdEVYdENyZWF0aW9uIFRpbWUAMjAyMjowMTowNSAwOTowODoxNnlU5G8AAExFSURBVHhe7d0HmDRVnbZxXHLOOSOIKCAISFDEgBkQAUUUZRExoGtOa9ZVd9k1KwZ0xQyIIIooCAZQQAERREUySEZyju73PG/3fA7Df0LPVJ1Qdf u6766MfC M13ddbrCOY YDyjP0moltcK4Vhz3ny2vFldLKfPj/GpRtYhaQC2p7B519 DpfPepOwdP5z3eMq6bxz2/UV2trlJXqtsVUKuF1WpqdbWG8vtnWbVM8Oj3ni2k/B6z8c/vUPersffVA2rs/eH3jv zG4ZdP 65 /vwP7tNAdkxAEIOHqisp9YdNvH5Eqok/tC/Ql0zfLxQXTDu8S4F5OIBv987j1Ibqg3UmsqDHQ98/OWhJH4/XaIuneTRgyugdQyA0KYF1aPV49SmajO1sVpVdcn4QdHZ6g/qXDV25Alogo9yepCzufJ7ye8tD3g8 PF7rSt85PUvyu lc9Qf1V VjzwBjWEAhKb4qM5Wags1NuB5rPLh8z56UPlD2x/i7vfqdDV2Cg6Yio/q H3k99PYgMfvqcVUH/n09Z UB0MeFJ2lzlB8ycCsMQDCbPm6myeoJ6knDh99/Q0m50HR eo36hR1krpcAb7GxgOdsfeS8zU5mJyvP/JgyO8lv6d qXytETAjDIAwUyurZ6rtlT kN1JsP3N3kfq1 pk6UfEB3g8 Yvpk5ffUDspHe3zUB7P3f o85cGQ31MnqOsUEGIHhsn8i/I30h3Vzmrb4X G9vxD fohD4TcycqH/tENvsDf7yf3bDV2pyLa42uJjlF P/1K agRMA8DIIznW8z9jfR5w0f/M/K5VfnI0FHqWMXt HXxEZ2nqN2V31O Mwv5 Db849VPlN9Xnu4CQI95kPNq9Qvlb0c jEzl5Ys9f6T VS2nUCbPubOT pryDjZ6LSl//qz7uXqV8rxIAHrCk515R/pT5VtLow8IKjefFvM32FeosckgkY9vQfdp4u8qH7WLXjMqN7 ffIT15Yr3E9BBvn12L3W08kRj0QcB1ZcnYfyOepbyPDFI5/Hq08oX2kavDdWXj7T6lPOeyheqA6iYJx78rPJSD9EbnrqTJ5D7b X5l9AOz6z8duWJLqPXgLrTTeozivcTUBFfh/BC5dtAfWdR9Oambnem8vUNfItthufl Z7y6ZLo903dbuz9NLYmGoDCeGr8/1KeSyZ6E1P/ulZ5m1hbYTS Td07PY720Fhe8PXLyvM2AcjMUxl4ThHPcxG9YYmcL3Y/Uvm2bEztMeqLytMORL9LIue7yPzZy3QyQGK 88R3LXhtnOjNSTRZXkfJ2w4XTT U1936pmI6CBolfwb7SCFLAQEt82H5N6q/qejNSDTTvAyHt6W f3D7 h7PFhz9johm2jXqg2pZBaBBK6r/UcwzQk3nu8fepvp0gaePfu2tuL6Hms7XCR2o/JkNYA58xOedioEPtZ2XCvC21uUjQr5ew5MWehXx6HdA1FR3KN AwBEhYET Nu6dkeeiiN5cRG11hfKpMU n0CVehPT3KvqZidrqNuWBELNMA9PwvC1vUder6M1ElKoLlU8T/YuqmQc p6noZyRKlWcMf5PiYmlgAu9kXql8PUb05iHKle8a20HVxrezH6ein4koVz7Cuq q/YsF0IgnKL6hUun5TqlHqtJ5tXyfcrhXRT8HUQn5dKzvQAR6aXXleUdYroJqyUtBeH2kpVVpPDeW52PxxdzR352otPzZ7yVWmKkdveHrfN6n7lTRm4Ko9DznyT6qlFlwvRr X1X0dyUqPd8x9m7F9UHotN3UZSp6ExDV1i/Uo1QuK6vvqujvRlRbF6tdFNAp/qD2oc5ooyeqOZ8W8zU3KW b95EnL fBwr/UxXy9nS RAKr3QsUHNXW9C9TTVds2UF6IMvo7EHWlm5WvaWOxVVRpXXWCijZuoi7mizq9kvoSqmkLqPcr7u6iPuWpHNZRaBgjy3Z4naF/Ux9RfVpfKQWfbvHRtLEeVF57xzzjqv/5LuWdpC2kxl6DxZRP0/huId8qPT4uPmyWr2XwRdKnzPunudtIfUNtNe f0BS/Tzzb/Fg3qvuH cJcG/9 8vvH7yN/xo3NbLyM8j vMC6/79CcsYukD1L koEGMABqno/6fFttN fMAqvd3aJunT46K5UY4Mdz47t/00b/KHugZCv1VpT bbUtYb5n/0NzP8dZs6D0Y rD6ixHeioPFncG9THlO exMz5/XK5 pvy5Hu cKP/mfPSuwBj 9EbYOnSfD7ZWxAtIbyZ N6w/y8xKkUSvcb9TLl1xJzxACoWV42wCN01nyZ2rXKi1G6s5WXXPCgx98 S Zvup5d LHKRyT86H/2hzsm90flD20/jsKD0EPUU f9EyZztfqz suwsee hqRkyysPhnxN1 PUZsNHvmhMzV8CX6sOnfdPmDUGQM3wgOcL6qXz/gnj QiOv7X8QXmw40GPv312iY8ceTbv8a2o8E8 AvQe9Unl6xqmw5eJmL8knD4hHx3tEg AxgZEmyvPlsyXjIfzJLqvV7fP ycgg22VT9VMvHCtj/nc9J UL4L1DqzPs5v6m 1e6svqIhX9vvrYj5QHjJPxaa6vqOj/28d8LdXByl u1ld95VPQ/kz5kvJnDLPnD/Jni79wAUn5oj/fkeKLBaMNsy/5egJ/KD1fTbVj6zt/gO nPGmfTwFGv8u 5OsXtlETbah8miz6//QlHx31qQ0vjOzrZBDzZ82uyl8wfF1T9LvsS74xxBdIe58EtM6nN36poo2x63nAd5J6p9pUYXQ 9byF g/V1x2 P7TfosZOw/sIhw/lR//brudtwNuCtwkuS5gdnzJ7lzpZ9fVLqadc8QXnQGt8G66PekQbYFfz9Rs dfES5QuB0SyfLvNgwAPLB1T0GnS1o1XfTnn5NfZr7dfcrz2atazygNqzKfuzK3oNupqPrj5eAY3zOWjPiRFteF3LtzD74uU3Ki7oTcd3xnj2V//uo9eF6s13Z/nI6SoKafgLm5dM8WDIRx2j16Vr3a1eoYBGeFIvX9gbbWxdy3eVHKBWUsjLt9l7ja2 X NQcz5a7NfQryXy8t1lvmvqTBW9Vl3rc8qTvgKztprybLbRBtaVPIOyB3i 5RTl8WSAz1BHqr5fdF9Dfo2 r3ZUfu1QHl9v5Quo/dkXvYZd6deKI46YlS2VJxmLNqwudIbaX7WxbhPa4flQPqyuUdFrSvm6Sn1QsYp3PZZUPuXc5aNCnouN64Iwkp2V11 JNqia87dT32brwR3q5dOyeyp/w4teZ0qX7wjdQ3G6oW6 weUw1cUbEXyH5XMVMC3PwdG1Uw0ezPmQ76MUusXf7r6nmBwuXb5JwBfWRvMZoW6es szqmtfgD2w8/WdQMhzcPgQdrTx1JonVvPP5LuL0G0bK0 Pz3VC7eU7ifw79hpw6DYv1uq7YH1qM9oWas2DO65Nw0Msog5X0QZTY55t2Kto dCv3gGYc/O3ZfbflN0j/KOY02FfvHyLG9WXl0/2jZq7DtqYQXMm1a9K9dSeLFEz4i6uEK/PVL5g86na6JthabPpw2 ptZS6DffLOIFfW9S0bZSW79SnjQSPeb5brxCebSB1JTPV3u EWZqxkQ XeNrhKLthibPSwuw3Asm8p1jntDyVhVtNzX1B8VEtz3l21XPU9GGUUu 3uOzio0Y03mi6vqcVk30c8VdkpiOvzx/XtV zZ1nKF9VoUd8SPtCFW0QtfQLtYkCZsoX r9Q9W09u5nkGbe9bAIwikern6pom6qlSxTr0vWELxL1Cx5tCDXknRcf1JgLXyPmuwN9cW 0jfUpr /n08dMCIq58NxxF6toG6uhy9X6Ch3m6yFqnd3Z1/m8W3FnF5qyoar92 tc8vIinvcFaILvGHufulNF21vp Zb/jRQ6yBc01nor4/GKD2q05cWqS7f5TpeXB9hJAW3w6aQTVbTtlZ7njuPSio7ZQNW4ftLNymvV NoNoE2 JdazhUfbYVfybNmeyNBTXwBt8/V2N6hoWyw5fxnytU3oAE9edpmKXuiS81T7LKyI1LxmUBcvkvZ1f16hHUjJq7EfoaJtsuR8UwBnHSrn2/tqu9vLhyB3V0AuXgbAEwBG22dt ajPp9RiCsjFR4NqO818gfIADhVaQf1JRS9sqXnytdUUUILdlGcXj7bVGvKXCVbBRik8d9CxKtpWS 2PirUkK7OUOkNFL2iJ XZkzy7KInUojU8hn6Si7bbkfqaY4A2l8fWcXmS1pikofqc8AzYq4FsRa1rbyzNxPk4BpZpfvV/VMOvt3erfFDcOoGSbq5pWIvilYgqWwvkISk0XnH1RecAG1MDLafgW8mhbLqHzFet3oRaekPQrKtqWS wwxReLgh2ooheutPwt9RUKqI3XnfN6WdF2nbMfKxYDRo32Vp6RPNquS ujCgXaT0UvWGn59sKtFFCrBZSXj4i279T5Li//Xbh DjXzKbFLVbSNl9ZrFAryFHWvil6skvLFpCsroAteonJO 3 r2lUBXeA7l30ncLStl9R96hkKBdhY3aKiF6qkPq78zRnokserHBMn uYBFm9E13gf8UkVbfMl5VUKvLYmMvIkTaXP8uwjU/sooKs8Y/nZKtr 2 gXiut90GX7Kh9pibb/UvIpO85oZLKQOkVFL0wp cjU0xXQdZ4n5DgVvQ a7FvK732g63yayad5o/dBKf1GLaiQ2OdV9IKU0lVqMwX0hecL8tQO0fuhiT6juA0XfeJLPC5X0fuhlPy REIvVdELUUo HcBCpuir9yrfnRW9N2aTTwUwbQT6ag11joreG6W0l0ICnugs550n0 Up Jk2HH23s2piHTF/ /UEjECfeXmnE1X0HimhO5SPVqFFvvCx5NXdf6gWVgDmm28tNdvrgh5U31HLKQCDpSiOUdH7pYQ8E7sHamiBz/17gBH94kvocMXFYMDDbaN pGZyV4uP7n5bcYst8HC AaDk5Z6OUlVcp1fbxYTvVqVOw 07U3zbor 1AogtoZ6mfErLK7V7WQ1fK/R35RnST1ZeyNgrZQOIea6gQ5SX0CjRO9V/D56iCVuqUudEOFgxDT8AIBUfwCj1Tuj71dYKDfC3xgtU9IvOnTdAbssFAKTmfc9BKto35e6vyqvdY46 oqJfcO6 oTjyAwDIxYOgr6poH5W7LynMwfNV9IvNnS/0Yl0vAEBunoDUN FE 6rc7aIwCyupa1X0S82Z5/nhVncAQCl8d9ixKtpn5ex65TU7MQIf1vuxin6hOfPaY5zXBACUZlF1kor2XTnzXGBcKzuC16noF5mzMxWTPAEASrW0OktF 7CcvVZhBjx77G0q iXm6krl9VgAACiZ59j6m4r2ZbnyPn1NhWmUNtuzX7jHKQAAauB1uW5R0T4tV75GCVPYU0W/uFw9oHZSAADU5DnKkxJG 7Zc7a4Q8LnLq1T0S8vVAQoAgBrtr6J9W66uUcsqTFDaZE4fVwAA1OzTKtrH5erLCuPsoLwoYvTLytGJypNLAQBQM69YcLyK9nU58r7eiyJDPKlgSWt9Xa5WUAAAdIEnFr5CRfu8HP1FefLG3nuXin5BObpHbaUAAOgSr9B r4r2fTl6q o1j0pLulXvVQoAgC56vYr2fTm6Va2sequkld6/pQAA6LKvq2gfmKMvqF7aTHmeneiXkrpzlddRAQCgy7yepa/BifaFqfMYwJM29s4JKvqFpM7X/TDTMwCgLzZXpVwP9HPVK7up6BeRo95fiAUA6J2SbkDaWfWCb3u/SEW/hNR55Ok5EgAA6BPv 36lon1j6s5Xvbgt/t9U9AtI3c3KK88DANBHa6ibVLSPTN1rVKctoq5U0Q fuhcrAAD67KUq2kemzmuBdvpmpDep6AdP3REKAADMN99RKtpXps7zFHWSR3YlrPbuiRdXVwAAYL75VlW LCTaZ6bsatXJo0BvV9EPnLr9FQAA KcDVLTPTJ3PFHWKJ166TkU/bMpOUo9QAADgn3xX2K9VtO9M2TVqMdUZ/66iHzRlnvBwIwUAAB5uQ V9ZbQPTdnbVCcsoW5Q0Q ZsvcpAAAwuQ raB asutVJ44CvUFFP2DKLlaegBEAAEzO09VcqqJ9acpeq6o2vyph1ucXKAAAML09VbQvTdkFquqVGnZX0Q Wsl8qAAAwcyeraJ asuerap2ioh8qVQ qLRQAAJi5xyvvQ6N9a6o8CKvSVir6gVL2VQUAAEb3DRXtW1O2tarO91T0w6TqduXZLQEAwOi8asIdKtrHpupQVZV11P0q mFS9SEFAABm76Mq2semymOJtVU1/kdFP0iqvKbJMgoAAMzecupWFe1rU3WgqsJCKveyF0x6CABAM3JPjnitWlAV74Uq gFSxdEfAACas7S6SUX73FQ1Op9fWxMM7Td8zMWn324ZPAUAAHPkU2CfGTzNJvfYYlprqgdUNHpLkdccW1IBAIDmLKVuVNG N0Wek2gt1Yg2jgC9Unn5i1w qXz7OwAAaM5tKudRII9Z9hk8LY//cperaOSWojvV8goAADTPd4TlnBfIi7QWuT7Yc1X0F07V5xQAAGjPl1S0D07Vjqo4h6voL5sinxvcQAEAgPZsqHKuEfZtVZTFVM7DYj9QAACgfceoaF cIl LtKgqxotU9BdN1fYKAAC076kq2henaldVjJwLn56pAABAOmepaJ cou oIuQ /eVb7wEAQDqvVtE OUWe7qaI02B7qugvmCL/Epj4EACAtLzv9T442jenaDc1a03dS 1v3I5TDHxIQAAaXnf /3B0yxyjj3mWVzlPP21jQIAAOk9SUX75hR57OExSDZ7qOgvlqJzFQAAyOc8Fe2jUzTru8GaOAX27OFjDv87fAQAAHl8bfiYw7OGj8k9Ql2holFZ292nVlAAACCfldUDKtpXt91lKotNVPQXStFPFQAAyO/nKtpXp jRamRzPQWW8/TXEcNHAACQV859cpaxyIkqGo21nU9/La8AAEB viTlfhXts9su Rkh33p2j4r Mm3H6S8AAMqS66DI3corUoxkLqfAnqYWHjxNjtNfAACUJde eRE18oLocxkAPXP4mJoPsR09eAoAAApxlPLdYDmMfDv8XAZAI4 2GvJrddPgKQAAKMTf1amDp8klOwK0lNp48DS544aPAACgLMcPH1PbTC0xeDozsx0Aef2t QdPk2MABABAmXLtoxdQWw2ezsxsB0DbDR9Tu0b9afAUAAAU5g/K ocRhqbzHYAtO3wMbWfKN/yBgAAyuN9tG Hz6H1AZD/P1sPniaX69wiAACYmVz7ag AZntgZ0Y2VeMnIEqVb61bTgEAgHJ5VugHVbQvb7vHqBmZzUgp1/U/Pq/I7e8AAJTtBpXret0nDh nNZsB0BbDx9R O3wEAABlyzUf0JbDx2nNZgD0uOFjaqcMHwEAQNlOGz6mtsnwsXEeMN2hovNubbe2AgAA5VtfRfvytrtNPUI1LtcPdJUCAAD18HxA0T697dZR0xr1FJjvAMuB018AANSl6NNgow6AWju3No1cv0QAADA7nRoAPXb4mNrvh48AAKAOZw4fU2vlYM35Kjrf1nZMgAgAQF08IWK0T2 7xucgWkR5NuboD2uzKxQAAKhPjguh71MLqSmNcgrMV1XPP3ia1LnDRwAAUJccM0IvqNYaPJ3cqAOgHBgAAQBQp1z78GnHLDUMgHKtJwIAAOamEwOgXDMxcwQIAIA65TqIMe2YpfQjQL6YyXeeAQCA pw3fExt3eHjpEofAF2n7h48BQAAlfH6oTcOnibV6BGgHKfALhs AgCAOuXYlzd2DZDnAFpl8DSpy4ePAACgTjkGQKupKecCmukAaA3VyvLy02AABABA3XIMgDy 8dhlUjMdAK04fEyNU2AAANQt18EML8UxqZkOgJYfPqbGAAgAgLrlGgBNOXaZ6QAo12KkrAMGAEDdqh4ATXkYqUV/Hz4CAIA63TB8TG3KgzelHwG6efgIAADqlGMeIGvkCFCOa4BuV17SHgAA1OselWNS42oHQLlGjAAAoFk59ukMgAAAQFbVDoCWHj6mxPU/AAB0w03Dx5SWGT6GZjoAmnI66Zbk GUBAIDm5dinN7IURo4B0J3DRwAAULcc /RqB0DcAQYAQDfk2KdXOwC6f/gIAADqxgBoBBwBAgCgG6odAC04fEyJARAAAN3AEaARcAoMAIBuYAA0AgZAAAB0Q459eiMDoJn 75r0j EjAACo2wPDx5TmHz6GZjqwuXf4mNIiw0cAAFC3HNcSexHWSc10ADTlv6Qliw4fAQBA3XIMgKZcgZ4BEAAAaBtHgEaw2PARAADULcfNVJwCAwAAWS01fEyJU2AAACCrHAMgjgABAICsqj0CNOW/pCVLDB8BAEDdqj0CdMPwMaXVho8AAKBuqw8fU5py7DLTAdB1w8eUPACa6d8PAACUyfvyVQZPk7p2 BgqeQDkOQNWGDwFAACVWlnlmAdoyrFLyQMgy3HIDAAANCfXvryRAdCUh5FaxAAIAIC65dqXV3sKzNYYPgIAgDrl2pc3MgDiCBAAAJiNqo8AXa/ b/A0KQZAAADULce0Nv9QjdwGf6/6 BpUo8aPgIAgDo9cviYki/deWDwNDbTAZBdNHxM6bHDRwAAUKfHDB9TunD4OKlRBkAXDB9TWkYxIzQAAHXyBdDLDZ4mdf7wcVKjDICmHU21hKNAAADUKdc fNqDNgyAAABAWzYePqbW6AAoxykwYwAEAECdcu3DGz8FluNW FyjRwAAMDc59uG vSwdPmXKE8CErZreoRCgAA1MMHWe5Q0b69zWZ0xmqUI0CW4zTYUmqdwVMAAFCJddXig6dJtTIA uPwMbVth48AAKAOWw8fU/vz8HFKow6Afj98TG274SMAAKjDE4ePqZ05fJxSLQOgXL9EAAAwO0UPgEblAdNtKrroqM18RbevBQIAAOXzPtv77mif3mY3qhndODXqESCvrnrO4GlS86snDJ4CAIDCbaO8707NR388EJrWqAMga XQ0gxwHRAAAHXItc e8RhlNgMgLoQGAABTyXX9T6tjlI3UxHNuKbpFzWbABqDfllCPVFuo1RWfI0C7fOrLkxhH /K2W1u1xh8eOS6Edv4AA4Cp DNqJ/VVdZGa DlynzpFvUetrwA0a3M18X2XoutV645T0R/edv7AAoCI7/zYX0WDnsl6UB2uWHQZaM6/q j91nY/Uq3L9cP9WgHARD6Sc7KKPjdm0j3qnSrHXStA15ykovdZ271Ztc4XJEd/eNvdr5ZRADDGn0c3qOgzY9SOVgsrALOztPK Onp/tZ1PvbVuQZVjhVe3uwIA20HdpaLPitn2M8UgCJidPVT0vmo7T4A40g0Os70bwqO70wZPk3vW8BFAv/lujyPUovP qTnPUJ8YPAUwoucMH1PzaTdP1pyEL0iORmFt9zcFoN98wbPv5Io I5pqNwVg5vy vFJF76e2e4NK5kkq kukiDs2gH7bW0WfDU12ieJUGDBzj1PReylFG6tkFlJ3qugv0nZvVQD6yafuL1bRZ0PTvUYBmBnfSRm9j9rO8//MaAHU8WZ7DZB5MrFTB0 T23X4CKB/fOHzeoOnrdt3 Ahges8bPqY2dtt9Um9RE0diKfLkZZ7SHkD/HKKiz4U28kWVqQZbQM1WU943R jtnuVGtlcjgDZD4ePqfnvze3wQP/4vf/cwdMkfFg95Z8H1Mq3v891TDEbHgAdO3ia3gVq4mgsRZ71FUC/bK2iz4M2O1IBmJpXaojeP213hpqVJkZrPx4 pual9n3IDUB/5LjG4GmKJTKAya2qPCN7DrM tPEACjXoSf/3ZmnA iXHAMgL7 z2eApgMCLVI7TX3bM8DELL4txi4oOTbWdr/wG0A/ lumLkqPPgrZ7uwIQ 42K3jdtd7Ua fb3MU2M2LwsxgmDp8l5MkZOgwH94IuRZ/1hN0dPHT4CeCh/Mdl28DQ5X4LjgdCsNHXIitNgANqW826s7ZUnfwXwUC9UuU5/Zbv7a7yV1ANq4uGpFP1WAeg2Dz5uU9FnQKp8xBnAQ7W9Jt9k3a0WV7PW1KjN01Dnui3dt8U ZvAUQEc9WS05eJqN7wYD8E8bqlynv3zpjZfjmrUmD1t9b/iYw78OHwF0U64p9sfjOiDgobxUTK7r8g4bPhZhBeULoqNDVW13rfLdaAC6KdeEq O7V83pkDvQIQuoq1T0Xmk7H/lZQs1Jk0eAblC/HDxNbmX1rMFTAB3jtbg2GDzNytch5ZrsDSjNs1Wuu7B999cdg6ez1/SV25wGA9C0nYePJeA0GDDg01 5HD58LMqyyoeJo0NWbec/d0UFoFt pqL3fI646xSYb77l1T0qeo 0ne8GXVTNWdNHgG5WPx88Tc6Hp/caPAXQEb7mxneAlWJL5aUxgD7bRy08eJrc0cq3wM9Z0wMgy3kaLOchOQDNe4bK9UEb8aKoJQ3IgBxyXnKSc4wxLX87ynVozG2jAHTDwSp6n fs0wroqyeo6H2RohtVYzOyt3EEyAuj/nDwNIvXDR8B1M3zi Rc/mIyTIiIPjtg JjDkeq wdNyPUdFo7cU WJo3xYPoG6bq g9njuvSM9nDPrINxr5 pvofZGiRs/wtHEEyI5XVwyeJufDY/sPngKoWAmzP0d8ZOopg6dAr7xKLTJ4mtz5qtG7MNsaAPkb0rcHT7N4rWJmaKBupQ6AjPmA0Dee fnVg6dZfHX4WAXP3OqBUHQYK0Veoh9Anby0zgMqem XkJfmAPpkDxW9F1LkZbZWUVX5jYp mBT9SgGo094qel X1NoK6IuTVPQ SNEPVOPaOgU25pDhYw47qE0HTwFUpuTTX2M4DYa 2FhtP3iaxdeGj1Xxaq23q2hEl6IvKQB18WSDXlw5ek X1DcU0AdfUdF7IEXXqmqv6fVRoOiHSpGXzPe1BADq4W a0fu5tK5UQNd5jU/vS6P3QIoOVK1o xSYfXn4mMNi6vWDpwAqUeLkh5HV1YaDp0Bn a5q70tz8ACoytNf452hJo7qUuWps30qDkAdzlXRe7nEvHMAuspz/lyjom0/RSeo1qQ4AmRfGD7msJxikVSgDmsqX3BZCy6ERpe9QuW8/fzzw8eqLapyXtR4qfIkTgDK5iMq0Xu41Py5luqLJJCSb0a4UEXbfYouU/47tCbVG9drh S8JX4d9aLBUwAFq H29/GWV5sMngKdsqdaf/A0i4PUg4On9VtP YeJRnopOkd5DR8AZfL1BjnvNpltb1FA15ylou09RXcpf7nolGNV9MOm6pkKQJmeo6L3bekdo4Auyf1erGrdr5ny7a3RD5uqExWAMvmCx h9W3q3KRZfRpd4KaloW0/VFqp1qU8J ZojX1Tl02G5bK1OHzwFWrGa2kp5nhhPIuZFPW9SXkDTh5U9Ozoe7hK17uBpdbZTpw2eAlXbRuXclk9RTxo87Z43qmjElyqfhgOatpb6oJrurglfB dvV69UuSYXK9FjVPT7qqX3KKALfqiibTxVL1ad5UkJ/W04 sFT9QQFNGEZ9Ul1n4q2tam6Su2vuI16vvnerqLfUS39XAG186mnf6hoG0/R5arzp5M/pqIfPlUcBUITHq88V0W0jY2Sr01bWfVZ7msO5pqn vB8Z0DNfqyi7TtVb1Kdt6q6R0W/gFT5WiBgtvZQTW7DF6s1VB/5KNpsjqCV1tMUUCufGYm261T5zFBvlq3yAmfRLyFVP1HAbHj5gzYG8H9VK6q 8SSl0e jtj6igFp5nxht16n6qOqNx6qc5xqdr3YHRuGjl21ew9bHOWW rqLfRW2dqoAabauibTpVPoWcc82xLHJPjPhTBYziSBVtS03mBQj7wheAX6ei30Nt3a WVEBtjlfRNp2qg1Xv FRC9MtIGUeBMFPbq2gbaror1UKqD3Jfd9B0ta1lBjxRRdtyqjw1yIaql85U0S8lVccpYCa r6JtqI32U33guZOin7/WPqGAmvgu1GhbTtUPVG VcAGkj0QBU/EdWp7ROdp 2ugPqg/OUNHPX2t9ed3QDTuoaDtOma8/6i1fA/AXFf1iUvU7xUrxmMpbVbTttNlmqst80WPuGyGazofzV1BA6bzP84X70XacqpNU7 2tol9OynZXwGR r6Ltps0 pbrMF3tHP3fteY4ooHS7qWj7TdnTVe/Nr85X0S8oVf7zWdEZkfVVtM203Q2qyxdDp7ijLkcHKaBk3ufmPvPCtBHj7KuiX1LKXqWAiXJeqLur6iJ/2bhFRT9z7Z2ngJK9RkXbbsqeqTDkD8RLVPSLStXVanEFjJfzm1JX75Dwoe/o5 1KfV3WBOXzPs77umi7TdVvVXYlrULtScQOHDzNxrP8vmHwFJjHqyNvNHiaxU6qiwuldn2 HO4sRaneoryvy lDw0eM46NATayuPZd8WH55BdjHVbSdpKyLKyTnvuav7bzWIVAarzV4q4q22VT5hhLuup7E61X0S0uZd3qAj5BeoaJtJGV/VF2ynop zi51uQJK8zkVba8p81FtTGIRdZWKfnGp8sJs/pBGvz1ZRdtHjjZXXeHTzNHP2LV89yBQikeqe1W0raaqqKM/JV0DNOYe9ZHB02w8CMt9PRLy22v4WIJ9ho9d8NzhY9c9bfgIlOA/Ve5pNT6sPBDCFHwt0EVq4ugxdZ4mHP3kbfDvKtouctSVOYF8B4qPsEY/Y9c6VAEl8IKnuWdd97I3XPszQy9X0S8xZV7XxxNGoX98l1K0TeSsC3MCPV9FP1sXu07xgY/cfKanhDX3mPV5BB54/FlFv8iU9WVVbjzUt1W0PeTsaFW7g1X0s3W1jRWQ0/4q2jZT9iuFEXl9ruiXmTJ/i1tKoT8WU7eraHvImefK8gKitfLRkBLuqkvZGxWQy5LqGhVtmynbRmFE/sAs4dDdxxT640Uq2g5K6M2qVl7dPvqZUnR98J l6IcKyOW/VbRdpuwohVl6lop qSnzrYPc0tofPtUUbQcldK6q1XtU9DO1nS/ zHXrvSdW5TpC5ODb3n1XdbRdpupBtanCHPxSRb/clH1PofuWUbk/NKar1jmBvPpz9PO0nW9m8Ozu/jCO/vu220oBqf1IRdtjyr6hMEe hS/65aaO2 K77xUqeu1L6jOqNh6APKCin6ftPqrsLBX99233LgWktKOKtsWU czJugoNKOG0hE8/LKDQXSeo6LUvKc9PVNucQC9V0c SIn Bsk o6L9vu58pIBXvo7yvirbFlHnZDTRkQ3Wfin7RKfNKuugm32GV6yjFqL1A1eQ7Kvo52u5GNXYNTq65ne5UCysgBd8oEW2HKbtNrazQoINU9MtOmV/Y1RW6x7csR695idU0J5AHIJ7JOvo52s4DrzG JTjXlyivKwe0zV/ifOF9tA2m7N0KDfNS/iW8uOM/VNEdv1XR611iNc0J9CQV/Qwp2luNd5qK/ndt90EFtO0wFW1/KbtSeS41tMAjy iXnjoWOuwWr/6fe62cUatlTiAvwhj9/dvOd32tpMbzBdHR/7btTlZAm0q48NlN/NKBBnml9stV9ItPmZfp8IKZ6IZcc9TMpVrmBPqjiv7 befb7ifKtZPwHTFeCBZog2 KOE9F217KfKel1x5Di/ZR0S8/dW9T6IYS7pqYTY9XJVtT5Tqy9j41kb9A5VqN3pO6Am3wth5tc6ljwdMEPMI8U0UvQMq8XhQXRNdvExW9vjVU pxAr1HR3ztFW6hIrolVD1RA09ZWd6hom0sZS14k5JFm9CKk7nCFuuW6LqSJSp8TKNdstF4A0msJRnJ9W/aXNqBpP1bR9pYy3135KIWEjlHRi5G6ZyvUyTvJS1T0utbSbqpEPt3kOXCiv3PbfU1NJtddaZ5jalkFNGVXFW1rqatxdvrqbaB8cWH0gqTsUsUFjnXaVkWvaU35KEuJ/MUg vumaA81Gd 84NPX0f v7WqbwBLlWkKVcEPQTcpL3VSn9qu1L1SfHjzNah3FPB912mv4WLPnqBLnBPLMyzl4jqQTB09D/u9/M3ia3FOHj8BcfUStNXia1fuVZ1xHBp7d9SoVjUxT5g/V0u/IwUN5huJrVfR61laJS7RcpKK/a9v9Qk3nHSr6/7bdnxQwV1upEpbt8fbM piZlXJb/NmKjaEez1DR61hjpc0JtJGK/p4peruajncg0f 37TwlwKoKmC3vYzzfTrR9pY4jmgXwhay5prifWC2z82JwoWz0GtZaSUcgPUdW9HdM0WPVdHz0z9cuRP//tnuJAmarlElbvewGCuE5Pzz1ffRCpcx3vayrUDavzn2zil7DWivpToxcc 34otCZ8oKy0b j7b6igNnwjT 5JvIc313K8w hIIeo6MVK3U8Uyua7caLXrua84roHdrktpXKtun6Qmqlcq/9frIBR UyHL 6PtqnUvVehMCurElaLd3sqlOt7Knrdam93ldsLVfR3S9FOaqZyzgDOUWKMan8VbUup8wDec3yhQDmvPRifZ6JdTqE8vnPQh3Cj1632PDlobrmOxPrUwGJqpvyN joV/bvabj8FzJQvnC/llP3zFQrlK TPUdELl7pvKZTnZSp6vbqQp2PIOSeQ5xbLNbXAbE49 0LO6N/Vdt9WwEwdoaLtKHUnKBTuySrXCtQTG WQPNI4VkWvVVd6q8ol1 3l7t/UqF6lon9X212tJlurDBjPS91E21Dq7lEbKlTg6yp6EVPnDzrW/ynHCirXBbqpyjnZnmdEj/5OKVpfjcp31UT/rhR5riRgKv68KmWy1g8pVMJrk3il7OiFTN1UCzMirdeq6DXqWp4WIoczVPT3abvz1GxdpqJ/Z9u9XgFTOVxF207qvOwUFz5X5tUqejFz5PWakN/JKnp9utZnVWorqVxzcX1CzVauo8VHKmAyvtg42m5y9FyFyviCzFNV9IKm7kq1jEI a6oSJstMkRcnTD0n0L4q rukaEc1W7mW0vFdPZ6RGpiopFNfhypUalPlO2OiFzZ1Byvk4zWiotelq6WeE j7Kvp7tN3tai6DPQ Mo39vilhAGZFS5im7Va2uUDEvERC9uKnznWnPUsijlAUEU/UjlcqCKtckpEepufI1DtG/u 1msnAr qWkU19cp9YBnprfd2NFL3DqLlWeiA9p fbN6PXocinnBHqaiv4OKfIMuXP1JRX9u9vupwoYs6LKNTnnxHxDQ6dP0foamT64TXndnxKsoz4 eIqE rgCtycF3XvwtHXPGz6m5g/qJgYRvxo pra9WmjwFJi3lp1vJsjNZyt89MfXTKIjfqgmjnJz5I0r1w6jr85X0WuRopzf6M5VKfg29OjPb7uzVRO808k1eeqTFJBzDb2J5biLFC1bTZWynop3iiWM9PtgSxW9Biny lS5V573z98mL wZ/bkp qhqigeL0Z/Rdu9X6Dfvm25Q0faRustVLy7T6MspsDG DqiUZfw9 PF1B2jfXsPHHLzsxtHqknn/lIdv825TzuVeZrP 12R MXxM7anDR/STl0T5ivLkvSXwkjK sxId5EHfr1U08s1RH69NScmv9xUq t2nyOv4WM4lItqeE g4Ff25bXeT8nVOTdlVRX9O292rRlnFHt1ygIq2ixx9V6HjfEeQT01EG0DqfEpuLYV2PEVFv/cUeQ6NRZX54vecC/TuodqwuMr1Xmr6w9oTlT6goj r7eYykSPq9Ujloy3RNpE6n4Lr1WUZfTsFNsYXxB44eJqdP3T/V7EydDtynv46QnlwYF5vystw5NLWabCnq1xrBDV9C7nnMfrD4GlynkYA/eKjl99WS8z7p/zeoq4fPEXX dZTr5odjYRz9DqFZnlyvpwXFk7cqeVcKsJzAq2qmvZlFf15befbc9v4tuovRtGf13a/VegXX/webQs5 rniS3jPbK1KWRvqTvUoheb44tzod50iX3A/cRIxny7Kebj7bappvmMk rPa7jTVhmer6M9rO596Y63A/vASKPepaFtInfc9PhXXOyWO HyxpgcmW6j1lBeFa3M2Sp97X3bwNDtPx9/UvCaYb75N1KMHT5P7pHrr4OlDHKL dfA0uT rjQdPG/E4lWt7/YD68OBpozxI9cXVOSYn9BIIKZcvQR6 LtDL8uT6bJrIp74 NXjaLyUNgDZXnq3ZCziWck4UmC3PvfP7wdOH8EXZvxw8zeIJylPcN Hdqsl5eEaxlTpz8LRxvks0x SEX1ClTNOB9njgXsoaW6er7RQzPmeysjpM5bxDhqjJ/qom4y8dnhMo v l6POqKb9R0Z/RdteoNr 8fUhFfy4RDfINA34fnqp8HaCnc EU7oieqK5V0S YqNamm9nXp2 i/1 KmpoTaDmV65Zxn0ZsU86pE4hqzXe8fl1toKqQ8zZ43yFzgvIRIKAr/EEw3fw031T 3 Xggcsug6dz4ouFc60U3eTszxFfYD02fQGAmfF0GJ5uw9caeuLXJicpbUWuAdDa6vtqbJI4oCt8Tv2iwdNJXapOGjzNoomLsJ87fEzNt/P7i1ObPDPzKYOnAEbk6Ud8lNvzdC3l/6BUOQZAY5M/lXLnFdCkmc5O7EPFuTxTzWVOIB/58RGgHHzNga8/aFvOC9WBLvAd1h4E5ZoodVo5BkCvVDnusADa5jspDh88ndaR6o7B0 T8JWTvwdNZ2UblWrix7dNfY3ItjAp0ie8w /jgaXlSD4D8zbGNydiAEpyorhs8nZYHPz4NnMtcToPlOv1lqQZAvsX tsFTAHPgxV53HjwtS oBkCf66uWMk iFURfnzHka7DHKc nMxvOGj6n9TXn5mhR8h5vnAwIwN56y4n9UrmuOJ5X6L1TkKBBowD3qh4OnM bFUS8ePM1iNgukrqE2HTxN7tjhYypcBwQ0Y0O16 BpOVIPgFjxGF3lJQxuHTydMd8K/63B0yy8Uv6ocwL56E uGeSbXv19Ol4gEkAzilvwO UAyHedrDV4CnTOqKe/xuSeE8inpUeR6/ofH2FLfWHyH5UnjgQwd574eLHB0zKkHACtMnwEuuZmddzg6chyzwk0ymkwHy3KdRT3V8qrVqfk5Xn85wKYO39 eBBUjJQDoBWHj0DXHKE8ed5sfWP4mMOz1GqDp9PyEhG5FipOffprDNcBAc3ZZPhYhJQDoJJWngeaNNvTX2N8O3yuOYE8NcVM5wTqw 3vEzEfENCclYaPRUg5ALph Ah0yRVqrrdL554TaKanwXLd/n6Bmm55kbacp64ePAUwRysMH4uQcgB0/fAR6JJDla8VmavccwI9YfB0Uo9WuebwynX0ZwynwYBm GaGYqQcAF2prh08BTpjrqe/xpQ J1Cuoz Wev6fiRgAAc2Y6Uz5SaQcAPlWX 6oQJd4VuJzBk/nrIQ5gaZatDDX9T8 PZh7RmauAwKaUdTp5JQDIMt1JwfQhoOGj03x3WBNnE6bjWXVLoOnD7OU2n7wNDlPRjiXO ya4KkKch6dA7rilOFjEVIPgLxS9jWDp0DVPEGeJzFs0mUq55xAky2Q ky14OBpcrmv/xnjqQ4AzN5V6q Dp2VIPQDyN7nPDp4CVXunumvwtFE5L4b2QCeaEyjX6S fFixlAHTY8BHA7Bw1fOw1T4X9Z UPN6IaO1G1Na/V4uo2Ff25KXqHGs8/p4/aRv/btmvq qqm BR 9Pckoqm7X62ripL6CJD5W7MvuCzqdjhghs5Xeyq/qdvg5R5yzgk08TTYFirXMjalHP0Z46N ua7RAmrmI6i lq4oOQZA5kUGX6kenPdPQB0uVM9RbS QmfM02EZq68HTeXLe/l7aAMifW/85eApghnwE S2DpxjvhcrfeCceLiMqLd N5NXTU/BpJ991FP09UvRFNeZ3KvrftN1NagFVGn9p9MK30d ZiB6aD3I8QxUp1xGgMb6zYit12rx/AsrjJVz2V34Te6ecgj84ci6Q6lN8nhNoZbWl/4MMfqYeGDwtik B7aFOmPdPACbj98qrFe Vafgb7wuUbwH2L23iKJIodWep16olVQ7rKH97iv5uKfIgyNcDRf9dil6uSraQ l8V/d2J t6t6vmqaCWu0L6merryxZfrqRVV7iNVo/AO81GDp8XwNStHDp5iEr7zytO0X6J o0pYu84zED918DQ5n a5Xfk0dWr ErSqqmH9QF8j9QW11rx/AvrNg58fqDcpLxSNnvE3w9PVxBFx7kr/Ro2H82sWvZYp8uknD4Ci/67tfN1RTfyef5ny 54j2NTHvM6nvwhsrqpR4hGgLvCRK59CWXreP5XhbvUk5b8X6uA5gXwHRa7TcLl8UH1o8LQ6PmL9FOUV9v3c8Tlbp53VVOvjpea7EEtZTsqn529Wf1Oe1 8vygMhYB5fKDlxlJy7y5U/kFGPr6notexyuS68Bsb4tu1o28yVBxvFTSQITMW3E0cbc848i3GJtxcjtoOKXseu5uuwarrmD93ja1A9c3G0feZqNwVUxYdP/6CiDTpnByrUwadPLlLR69jFDlFALmsrX3wfbZu5Yv1MVGsDlXNtpyhfqPkihTp8QEWvYxfLcdcZYIuqM1W0XebK6 GVdB0SMLIXq2jjzpnv8NlYoXz VppzTqBU bTDMgrI4VAVbZe58mf0hgqontd3ijbynF2g2OHUwUtxRK9hl/qVAnJ4h4q2yZy9RAGd4Fuax24VLKnj1fwKZcs5J1CqvBMCUttRed6raJvMlefUATplU3WXijb4nHneFZTNA jSriVruk0UkJLnbPNM dH2mCvfOMN1P ik/VS00efMF0Vzm2X5urz2lCdUA1JaQnlywWh7zJWv 3m0AjrLt/pGG3/OblGlrWGGh9peRa9dF/KcWUAqnl7ieyraFnO2lwI6zYc3vSRF9AbI2V/VUgpl6vKcQF52AEjl3SraDnP2OQX0wvrKR12iN0LOvJIvaxeV6/0qet1q7h7l0xFACs9QpV307AWAF1ZAb5S4Xph7l0KZujgnkO9EBFLwF8 bVLQd5uoG5fc10DufUtGbImfewe6iUKauzQn0BgW0zUcZz1XRNpgrf9Y RwG9tKA6VUVvjpz5luvHKpTnZSp6zWrNy8UAbfICu0epaPvL2X8ooNfWUKUtwOcuVSsqlKVLcwKdr4C2fVRF21/OfCSXSWgBeboq7cI8d7JaSKEsXZkTyKeAgTZ5gV3PdRZtf7m6Rq2iAAx5RubozZI75mgpT1fmBHqmAtqyjbpbRdteru5T2ykA4/g89bEqetPk7gCFcnRhTqA7FLf oi2rqStVtO3l7E0KQGBZdbGK3jg587eWpymU430qeq1q6WgFtMHXyXlNrWi7y9nhinnWgCl40dQ7VfQGypkXDfQ8GihD7XMCvUoBTfMAwwONaJvL2XmKmfaBGXiJit5EufObeGmFMtQ8J9BaCmjax1S0veXMd21upADMkNeGid5MuTtOcftmGWqdE gcBTTtRaq0O77899lNARiBJ0n0bejRmyp3Byrkt5i6VUWvUcn9pwKatKW6S0XbW858dy AWfBcEVep6I2Vu/0U8vuqil6fkvNt/EBTfMdXiZ TXueOo XAHGyr7lXRGyxnnl/D82wgr9rmBPJilAsooAk CnqGira1nHkm/eUVgDl6o4reZLnzjKZrKuT1VxW9PiV2mAKa4LnTPJ1CtJ3lzKfiNlcAGvJtFb3ZcneW8krLyOe9KnptSmwfBTTB15JF21juXqwANGhRdaaK3nC5 5HiXHc vqW8hjmB/HdcSQFzVeodkJ9QAFrgi/2uVtEbL3efVMjnRBW9LiX1OwXMla97u0dF21jO/B7k jagRV5Ir8SLot3rFPKoYU6gDyhgLh6prlfR9pUzX/S8ggLQsteq6E2YuwfUzgrp RTpLSp6XUppKwXMlu qukBF21bOblebKACJfFlFb8bcedr3xymkV/KcQP7W7rt2gNlYRJ2iom0rZ57p2TNQA0jIM0WfpKI3Ze6uVKsrpFXynEBfV8BseIHT76hou8rdhxSADFZWV6jojZk737G2uEJapc4JxLdkzJaX3om2qdx5DiKOagIZecKtO1X0Bs3dMYrb49N6n4pei5z52rDlFDAqL7kTbVO5O08trQBktreK3qQlxMKpaa2hPOCIXotc VQtMKpnqftVtE3lzMu5bKAAFOJ/VPRmLSHftYZ0SpsT6J0KGMVj1c0q2p5y5sk8n6sAFMTnoj0jc/Smzd19akeFNEo7IsgtwhiFJ3z9m4q2pdy9TQEokNfkOkdFb9zc3arYEabhOYFK fbsi/R9Fw8wE17d3TOGR9tS7g5RAAq2trpWRW/g3Hm2VN 5hvZ9RUWvQeq pICZ8A0TJa7u7k5WCysAhfNyGXer6I2cu9OUj1CgXU9S0e8/dbsoYCY r6JtKHcXKs9CDaASnnfFs5RGb jccXt8GrnnBPKClT4tC0znzSrahnLnU/e IBtAZT6qojd1CXFqpH3vVdHvPlXHK2A6PkpY2tQNzrfgP0MBqJAvPj1MRW/uEnqHQntyzwn0RgVM5cmq1NP1BygAFfP1Nqer6A2eO5 ie5lCe05Q0e8 RUwWh6k8RnlSwWjbyd1nFIAO8Lwapa4ZxhxB7co1J9DFCpiMP5MuU9G2k7vj1AIKQEc8XpW6ZpgvNHycQvNyzQn0aQVEllJnq2i7yd1f1DIKQMfsrkq9M xKtaZC83LMCfRMBUy0kMp5WnaqblDrKwAd9X4VvflLyN8K/e0QzXqiin7fbeUjTkwah4m8XM hKtpmcucpGzx3FoAO851hpX4IOX879LdENMevuQ/tR7/vNvqCAib6hIq2lxJ6uQLQA74upNT1dtw3FetHNWtfFf2um86nWDdTwHilTnToPqYA9MiqqtQVl91HFJrjo2qe0j/6XTeZB6/AeHuqB1W0veTuSOVTcwB6xt/U71DRB0MJvVqhOZ50rs0d0Y1qdQWMeYry9TXR9pK736vFFYCe2lWV u3MU9HvpNCcD6nodz3XPOM0d35hvE1UjikYZtJVisE6gPnepaIPiRLyEaonKDTD11YdrKLf9WzzAHp/BYzxlBalTr7q dC2VAAwT465Ymba39WGCs3wNQ8fVk3MCeV1nF6kgDHLqj paHvJnbf5PRQA/H e v2nKvrQKCFPm88h62Y9T12iot/3TDpNbaSAMb7D9Ncq2l5K6J0KAB5mSXWWij44SuiPyt8u0RzvsN6uRhkI eJR39kzvwLG EvUMSraZkroiwoAJuVFCi9X0QdICfnbpXfaaJZPiz1VfVB5Mso/q uUTz964Hm0eofaVAET dqyb6joPVtCHpgxYAcwrceom1T0QVJC/jBjtWagHB9X0Xu1hM5USygAmJEdVKnzdzhmiwbK8O8qeo WkE/trqIAYCQvVqWuHu8 qgDk4zW0Sv2M8MScj1YAMCvvVdGHSyl5jSEA6e2iPFlp9L7M3b3qaQoA5uQgFX3IlJC/fbKSM5CWl7jwHFDRezJ3/kx4qQKAOfPdEz9U0YdNCd2nnqUAtM93Apa6xIV7qwKAxpQ R5Cnt99WAWjPI9U1KnoPltCXFAA0blXlGZmjD54SYskMoD2eI2wuM4e3HXP9AGhV6XME QPaAzUAzVla/UFF77kSOl0trgCgVb67wndZRB9EJXSOYskMoBmLqd o6L1WQhepFRUAJLG3KnmOoFMV3wiBuVlQHaui91gJ bT3BgoAkip9jqAT1cIKwOi8PtyhKnpvlZBvw99OAUAWJc8R5H6gWDcMGI2Xmfmyit5TJfSg2l0BQDalzxHkvEo164YBM/ffKnovldIbFQBk5zmCzlDRB1UpebVqANN7n4reQ6X0SQUAxfBdGOer6AOrlN6tAEzuDSp675TS4crXJgFAUdZUf1PRB1cpvUkBeLiXKV9bE71vSugXipsaABRrY1XyRIm dX9fBeCfdlWlruzuzlaejBEAiraN8tpc0QdZCXnx1J0UgPnm21Hdo6L3SgldqFZWAFCFnVXJ3yjvUjsooM/8ZeV2Fb1HSugqtY4CgKr4moKSZ4u VW2pgD7aVJV8uvoWtZkCgCq9R0UfbqXkqfQ3UkCfePmIa1X0nighH6HdXgFA1T6rog 5UvKdaxxmR1 sra5Q0XuhhHzqfBcFANUrfU0hd7FaXQFdtpryRcXRe6CEuEsTQOd4VemfquhDr5Q8keMqCugiT1b6ZxVt 6X0DgUAnbOYOlVFH3yldI5aTgFdsoz6vYq2 VL6nAKAzlpBnaeiD8BS q3y mZAFyylfqeibb2UvqNY4gJA59WwZMYpanEF1MxHXU9S0TZeSieohRQA9ELpS2a4n6lFFFAjr5tV nV3PjLFFw0AveNZaO9Q0QdjKR2tfAE3UBMfUTlGRdt0KfmCbK63A9BbpS Z4Y5Q8yugBt5WD1fRtlxKnodoLQUAvbafKnnJDPdV9QgFlMyDn qaBsupRsUs68DwNBbVfRhWVKfUUCpPED/moq23VLywqtbKwDAOP hog/NkvqkAkrjwc9BKtpmS le9WwFAAj4KEv04VlSXuAVKMknVLStlhLrewHANPxN9hAVfYiWlE/ZASX4iIq20VJ6UL1UAQCmUcNdLO7tCsjpAyraNkvJNze8RgEAZsjzmByrog/VUvKH wEKyOFtKtouS qdCgAwokVV6dP4exD0agWk9BYVbY8l5ZsaAACz5IUcz1TRB2wpeRC0vwJSeJOKtsOS rwCAMyRV5D3tPnRB20pPaC40BNte4MqfdLQbypWdgeAhqyuLlHRB24peRD0YgW04ZWq9MHPD9QCCgDQoEeqq1T0wVtK96nnK6BJr1C nTza5krpBOUV6AEALdhYeS2h6AO4lDzjrRd5BZrwr6r0wc pagkFAGjRZupmFX0Ql5IHQc9TwFzso0of/JytllUAgAS2U3eo6AO5lO5ST1PAbLxQeQmJaNsqpfPVygoAkJCPsPiam iDuZQ8SNteAaPYU/mi mibKqWLlW9OAABkUMOO4nbFIAgztYcq/ciPb0ZYTwEAMtpPlX57sAdBT1LAVGo47fV39RgFACjA61Tpg6Db1BMVEHmRKn3w45sPHq8AAAV5o4o tEvK1wQ9RQHj1XDkh vZAKBgNSwSySAI49Uw LlT7aAAAAX7kIo xEvKgyB2KKjhtJenc3iqAgBU4GMq jAvKQZB/VbD4McTej5XAQAqcqCKPtRLikFQP3n6hhoGPyzpAgAVeoQ6SEUf7iXlQdCTFfqhhsGP59byESoAQKU8CPqSij7kS4pBUD 8WNUw NlLAQAq9y/qWyr6sC8pBkHdVsPgxwuv7q0AAB0xv/qeij70S pW5YVe0S01rOruv98rFACgYxZUR6vow7 kfCSI2467w0u1lD748SzqBygAQEctpI5R0U6gpDzx3NMV6vYqVfrgx71dAQA6zoOgn6hoR1BSHgTtqFCn16jS16dz71IAgJ5YTP1SRTuEkrpHMRdLfd6qoteztN6rAAA9s7g6WUU7hpLyhHS7KNThHSp6HUvrwwoA0FNLq9 qaAdRUhwJqsP7VfT6lZZnSQcA9Fwtg6D71G4KZfqgil630vqEAgBgnloGQZ6l96UKZfkPFb1epcXgBwDwMDUNgpittwxeauVTKnqdSuuTCgCA0DLqdBXtQEqKQVB Hvx8TkWvT2l9XAEAMKVajgR5jpnXK6Tn9eW oqLXpbQ48gMAmLGaBkFvVkjH68p9XUWvR2kx AEAjKyWQZD7gEL7PIv4kSp6DUqLwQ8AYNY8CPqdinYwpfVfCu3x7OHHqeh3X1oMfgAAc1bTIOgg5Ytz0SzPGv5zFf3OS4vBDwCgMTUNgg5WvkgXzfCdgaep6HddWgx AACNq2kQdKhaQGFuVlJnq h3XFoMfgAAralpEPQjtYjC7KyizlXR77a0PBkjAACtqmkQ9BO1qMJo1lYXquh3WloMfgAAySyrzlTRDqm0fPHuEgoz82h1hYp l6XFaS8AQHK OLaWI0GnKB 5wtQ2Vdeq6HdYWixsCgDIxkdWfqmiHVRpnaVWVIhtoW5Q0e utA5UAABkVdMcMX9Rqyk81PbqVhX9zkqLCS8BAMXwLME/U9EOq7QuUesqDDxV3a6i31VpvV8BAFCUhZVvPY92XKV1uVpf9d1O6m4V/Y5K690KAIAiebHMH6hoB1Za16hNVF 9WN2not9NSXnF/zcqAACKVtOK4TeqrVTf7K3uV9HvpKQ8 HmdAgCgCvOrb6lop1ZaN6ttVV8coB5U0e ipB5Q yoAAKriQdC3VbRzK63b1FNU1/k6mujnLy0fnXqJAgCgSl6V/Wsq2smV1j1qd9VFj1CeOyf6uUvLg5 XKgAAquad7 dVtLMrLZ922U91iY/EfUVFP29p3ateoAAA6AQPgj6jop1eafnC27epLvAF6Ueo6OcsLR B20UBANApHgR58cpo51ditc847Bm6j1fRz1Zad6pnKAAAOus/VbQTLLEvKF/HVJvl1ekq plKy7NQ9 ECdAAA5nuninaGJXaU8izXtVhV/VFFP0tpeQqC7RQAAL3h Wh8vU20YywtL/a6pCrdeuoiFf0MpeVJKJ gAADonf1VDZPyud8pn1oq1cbqKhX93Uur78uQAABQzZpU7s9qdVWa7dUtKvo7l9ZlioVoAQCQnVUtq5JfqjZQpXieuktFf9fS qtaUwEAgKFnq1p25D6Fs5nKzctF1HT0bDUFAAAm8KmcW1W0Ay0t38H0JJVLLYuaujPVCgoAAExiS3WDinakpeUJ/J6jUqtpGoGT1VIKAABM47HqahXtUEvLi3fuo1LwbNqfUNHfo8R oZZQAABghjZStdzW7VNRPiXVpgXVt1T055fYD1RNE0gCAFCMdVQtE/s5L/jqozRN87pex6rozyyxQ5UHbAAAYJZ827Rvn452tCX2NbWAaoovHv6tiv6sEjtY1bh GgAAxVlOeSbmaIdbYieoJpbOWFudp6I/o8Q q9o4AgYAQG8trX6toh1viXk19pXUbPlC8CtU9O8usf9SAACgBYupn6hoB1xiF6vZzBq9japlKgAvaPsmBQAAWrSQOkxFO MSu1ZtoWbq aqWGbFTTgEAAEDvza rKKdcondoWYyYeK yoOK6N9RWveoFygAAJCQL7Y9UEU75xLzwOaVajI1ze58u3q6AgAAmXjg4OtQoh11afnv UE1no9mfVFF//sSu1FtrQAAQGavUbUsDOo pzxXjmdKPnz4n9WQlyfZWAEAgELspe5T0Y67xI5QJ034z0rOk1GupQAAQGGep2q5g6qmzlWrKgAAUKgnq1tUtCOn0TtZeRJKAABQOF ncqWKdug0836kFlUAAKAS66oLVLRjp n7pmJFdwAAKrSyOktFO3iavM8oFjUFAKBiSyivzh7t6OmheZ6idygAANABnm/Ht51HO30a9ICaaqZqAABQIc 4fLCKdv59z t67aYAAEAH boWL0URDQL62s1qewUAADruDaqmpTPa6hq1mQIAAD2xj/IK7dHAoA95igBPFQAAAHpmR3WbigYIXe50tZICAAA9taW6TkUDhS52vFpSAQCAnvOpoPNVNGDoUocoZncGAAD/3/LqVBUNHLrQfykAAICHWVz9WEUDiFrzBIevVgAAAJPq0oSJd6idFAAAwLS6MGHiDWo7BQAAMJJXqBrnCrpEPUoBAADMyvPVXSoaaJTYGYo5fgAAwJxto/6uogFHSf1MMccPAABozEbqMhUNPEro64o5fgAAQONWVX9Q0QAkZ57jxxduAwAAtGIJ5eUkooFI6jzHz2sUAABA6xZW31XRoCRVtyvm AEAAEnlnCvoarWFAgAAyGJfdZ KBiptdK5aSwEAAGS1o7pFRQOWJvNt7ksrAACAImysLlfRwKWJvqq4zR0AABTHt8n/XkUDmNn2D VrjQAAAIrlmZiPUtFgZtRuVrspAACAKrxc Vb1aGAzk05V6ykAAICqeFFSn77ykZxokBN1lvLgaX4FAI1j2ngAqSylfKeY20qtolZUd6trldcY 4U6QZ2tAAAAAAAAAAAAAAAAAAAAAAAAAAAA0EPzzff/AIrnOKlssitrAAAAAElFTkSuQmCC"/>
<text x="400" y="820" font-size="80">60/min</text>
</symbol>
</defs>
<use xlink:href="#circle-text-image1" x="50" y="50"/>
</svg>只有第二個片段包含您的完整影像資料，否則答案將超過 StackOverflow 限制。
轉載請註明出處，本文鏈接：https://www.uj5u.com/qiye/405433.html
標籤：