我正在使用word javascript api开发一个词插件。我需要从服务器获取文档并将其插入MS Word中的当前文档。如何在word插件中使用'insertFileFromBase64'在当前文档中插入文档的所有样式
目前我使用下面的代码插入文档：
// Create a proxy object for the default selection.
var mySelection = thisDocument.getSelection();
// Queue a command to insert the file into the current document.
mySelection.insertFileFromBase64(myBase64, "replace");
但它插入单一风格的文件，因为我有保存文档多种风格，我需要插入。
请指导我如何在当前的Word文档中插入带有所有样式的文档。
谢谢。
这是一个按设计行为，如果来自相同名称的样式已经在您要插入文件的文档中使用，则Word不会覆盖现有的样式定义。 你有两个选项是改变样式名称，你也可以尝试插入文档的OOXML，并确保ooxml的样式定义是唯一的。
请查看插入带有自己样式定义的文档的示例。 （恢复文档只需解码Base64和看到那里创建的样式）
function insertFileDiffStyle() {
Word.run(function (context) {
var mybase64 = getBase64Bis();
context.document.body.insertFileFromBase64(mybase64, "end");
return context.sync();
})
}
function getBase64Bis() {
return ("UEsDBBQABgAIAAAAIQDfpNJsWgEAACAFAAATAAgCW0NvbnRlbnRfVHlwZXNdLnhtbCCiBAIooAAC AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC0 lMtuwjAQRfeV+g+Rt1Vi6KKqKgKLPpYtUukHGHsCVv2Sx7z+vhMCUVUBkQpsIiUz994zVsaD0dqa bAkRtXcl6xc9loGTXmk3K9nX5C1/ZBkm4ZQw3kHJNoBsNLy9GUw2ATAjtcOSzVMKT5yjnIMVWPgA jiqVj1Ykeo0zHoT8FjPg973eA5feJXApT7UHGw5eoBILk7LXNX1uSCIYZNlz01hnlUyEYLQUiep8 6dSflHyXUJBy24NzHfCOGhg/mFBXjgfsdB90NFEryMYipndhqYuvfFRcebmwpCxO2xzg9FWlJbT6 2i1ELwGRztyaoq1Yod2e/ygHpo0BvDxF49sdDymR4BoAO+dOhBVMP69G8cu8E6Si3ImYGrg8Rmvd CZFoA6F59s/m2NqciqTOcfQBaaPjP8ber2ytzmngADHp039dm0jWZ88H9W2gQB3I5tv7bfgDAAD/ /wMAUEsDBBQABgAIAAAAIQAekRq37wAAAE4CAAALAAgCX3JlbHMvLnJlbHMgogQCKKAAAgAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJLBasMw DEDvg/2D0b1R2sEYo04vY9DbGNkHCFtJTBPb2GrX/v082NgCXelhR8vS05PQenOcRnXglF3wGpZV DYq9Cdb5XsNb+7x4AJWFvKUxeNZw4gyb5vZm/cojSSnKg4tZFYrPGgaR+IiYzcAT5SpE9uWnC2ki Kc/UYySzo55xVdf3mH4zoJkx1dZqSFt7B6o9Rb6GHbrOGX4KZj+xlzMtkI/C3rJdxFTqk7gyjWop 9SwabDAvJZyRYqwKGvC80ep6o7+nxYmFLAmhCYkv+3xmXBJa/ueK5hk/Nu8hWbRf4W8bnF1B8wEA AP//AwBQSwMEFAAGAAgAAAAhANZks1H0AAAAMQMAABwACAF3b3JkL19yZWxzL2RvY3VtZW50Lnht bC5yZWxzIKIEASigAAEAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAArJLLasMwEEX3hf6DmH0t O31QQuRsSiHb1v0ARR4/qCwJzfThv69ISevQYLrwcq6Yc8+ANtvPwYp3jNR7p6DIchDojK971yp4 qR6v7kEQa1dr6x0qGJFgW15ebJ7Qak5L1PWBRKI4UtAxh7WUZDocNGU+oEsvjY+D5jTGVgZtXnWL cpXndzJOGVCeMMWuVhB39TWIagz4H7Zvmt7ggzdvAzo+UyE/cP+MzOk4SlgdW2QFkzBLRJDnRVZL itAfi2Myp1AsqsCjxanAYZ6rv12yntMu/rYfxu+wmHO4WdKh8Y4rvbcTj5/oKCFPPnr5BQAA//8D AFBLAwQUAAYACAAAACEA0B4o99wCAAAxCwAAEQAAAHdvcmQvZG9jdW1lbnQueG1s1JZtb5swEMff T9p3QLxvDYSkLWpSbU1bddKkaOleT45xwAu2kW2SZp9+Zx5CKvpAkjebFAWMz7/7n+/McX3zzDNn TZVmUoxd/9xzHSqIjJlIxu7Pp/uzS9fRBosYZ1LQsbul2r2ZfP50vYliSQpOhXEAIXS0ycnYTY3J I4Q0SSnH+pwzoqSWS3NOJEdyuWSEoo1UMQo83yvvciUJ1Rr83WKxxtqtceS5Hy1WeAOLLTBEJMXK 0OeW4R8MGaIrdNkFBUeAIMLA76IGB6NGyKrqgMKjQKCqQxoeR+oEx7slIHMqYHIpFccGhipBHKtV kZ8BOMeGLVjGzBaY3qjByLFbKBHViLOdFrskqrTUl2aF6uO3WjKty7b0iBTNQIMUOmX5rvb4sTSY TBvI+r0g1jxr7Da53zORbx2caZWWFthHfp1LnlXK3yf6Xo+MWMRuRR8JL302SjhmonV81Nbsba7f s7QbQNABjDQ9DDGsEUhveXs0NnlyWpYflCzylsZOoz2K1Y5l3+sHsOpq2a9gfZqYeYpzOMqcRI+J kAovMlAEuXcgfU6ZAceeEncCXWch46295s4mgq4V/xi7nncbhHcedKr60ZQucZEZO3MVhlfToJmZ 7T0qITNVXuZmm4GPaI2zsfutwIJm0nfR5BrtbMo/M3lKmXbg50A3hMYIy6yNKS1VZd9R91JDP3Xo H6K8uVO/q50q/by5U1hIk1LlLLLiP9ixj6pi8H6sjkmZiqE6FBaJDffjWMPBxZf7V1W+nDlB5ULK lW26cwPdGkxZDCzLFZjDSfv1IL9isqp2sLG9E/HOsobZaU2JmalX9JdakvkfmIKXvx8EYekhhfvh ZVgyrMF3bBcbCT3KDysTxZLUtMOFNEbydpzR5d5sSnFModtfBOVwKaXZGyaFKYe1OyIzDU91jgmt bMrH8OH6oJgNL2OCzpghoHIwauKsQixvq5cNar91J38BAAD//wMAUEsDBBQABgAIAAAAIQBmOrwU JAYAAI8aAAAVAAAAd29yZC90aGVtZS90aGVtZTEueG1s7FlNixs3GL4X+h+GuTse2zP+WOIN47Gd tNlNQnaTkqM8I88o1oyMJO+uCYGSnHopFNLSQwO99VBKAw009NIfs5DQpj+iksZjj2y5S7oOhNI1 rPXxvK8eva/0SOO5eu0sxdYJpAyRrGvXrji2BbOQRCiLu/a942GlbVuMgywCmGSwa88hs6/tf/zR VbDHE5hCS9hnbA907YTz6V61ykLRDNgVMoWZ6BsTmgIuqjSuRhScCr8prtYdp1lNAcpsKwOpcHt7 PEYhtI6lS3u/cD7A4l/GmWwIMT2SrqFmobDRpCa/2JwFmFonAHdtMU5ETo/hGbctDBgXHV3bUX92 df9qdWmE+Rbbkt1Q/S3sFgbRpK7saDxaGrqu5zb9pX8FwHwTN2gNmoPm0p8CgDAUM8256D5b9cBd YEugvGjw3W/1GzUNX/Lf2MD7nvxoeAXKi+4GfjgMVjEsgfKit4H3ep1eX/evQHmxuYFvOX7fbWl4 BUowyiYbaMdrNoJitkvImOAbRnjHc4et+gK+QlVLqyu3z/i2tZaCh4QOBUAlF3CUWXw+hWMQClwA MBpRZB2gOBELbwoywkSzU3eGTkP8lx9XlVRGwR4EJeu8KWQbTZKPxUKKprxrfyq82iXI61evzp+8 PH/y6/nTp+dPfl6MvWl3A2Rx2e7tD1/99fxz689fvn/77GsznpXxb3764s1vv/+Te67R+ubFm5cv Xn/75R8/PjPAfQpGZfgxSiGzbsFT6y5JxQQNA8ARfTeL4wSgsoWfxQxkQNoY0AOeaOhbc4CBAdeD ehzvUyEXJuD12UON8FFCZxwZgDeTVAMeEoJ7hBrndFOOVY7CLIvNg9NZGXcXgBPT2MFalgezqVj3 yOQySKBG8w4WKQcxzCC3ZB+ZQGgwe4CQFtdDFFLCyJhbD5DVA8gYkmM00lbTyugGSkVe5iaCIt9a bA7vWz2CTe778ERHir0BsMklxFoYr4MZB6mRMUhxGXkAeGIieTSnoRZwxkWmY4iJNYggYyab23Su 0b0pZMac9kM8T3Uk5WhiQh4AQsrIPpkECUinRs4oS8rYT9hELFFg3SHcSILoO0TWRR5AtjXd9xHU 0n3x3r4nZMi8QGTPjJq2BCT6fpzjMYDKeXVN11OUXSjya/LuvT95FyL6+rvnZs3dgaSbgZcRc58i 425al/BtuHXhDgiN0Iev230wy+5AsVUM0P9l+3/Z/s/L9rb9vHuxXumzusgX13XlJt16dx8jjI/4 HMMDppSdielFQ9GoKspo+agwTURxMZyGiylQZYsS/hniyVECpmKYmhohZgvXMbOmhImzQTUbfcsO PEsPSZS31mrF06kwAHzVLs6Wol2cRDxvbbZWj2FL96oWq8flgoC0fRcSpcF0Eg0DiVbReAEJNbOd sOgYWLSl+60s1NciK2L/WUD+sOG5OSOx3gCGkcxTbl9kd+eZ3hZMfdp1w/Q6kutuMq2RKC03nURp GSYgguvNO851Z5VSjZ4MxSaNVvt95FqKyJo24EyvWadizzU84SYE0649FrdCUUynwh+TuglwnHXt kC8C/W+UZUoZ7wOW5DDVlc8/RRxSC6NUrPVyGnC24lart+QcP1ByHefDi5z6KicZjscw5FtaVlXR lzsx9l4SLCtkJkgfJdGpNcIzeheIQHmtmgxghBhfRjNCtLS4V1Fck6vFVtR+NVttUYCnCVicKGUx z+GqvKRTmodiuj4rvb6YzCiWSbr0qXuxkewoieaWA0Semmb9eH+HfInVSvc1Vrl0r2tdp9C6bafE 5Q+EErXVYBo1ydhAbdWqU9vhhaA03HJpbjsjdn0arK9aeUAU90pV23g9QUYPxcrvi+vqDHOmqMIz 8YwQFD8s50qgWgt1OePWjKKu/cjxfDeoe0HFaXuDittwnUrb8xsV3/MatYFXc/q9+mMRFJ6kNS8f eyieZ/B88fZFtW+8gUmLa/aVkKRVou7BVWWs3sDU6tvfwFhIROZRsz7sNDq9ZqXT8IcVt99rVzpB s1fpN4NWf9gPvHZn+Ni2ThTY9RuB2xy0K81aEFTcpiPptzuVlluv+27Lbw9c//Ei1mLmxXcRXsVr /28AAAD//wMAUEsDBBQABgAIAAAAIQCejGvL0AMAADUKAAARAAAAd29yZC9zZXR0aW5ncy54bWy0 Vm1v2zgM/n7A/YfAny+N49pJaiwd1qS5dWi2Yc5+gGzJiVC9QZKTZsP996Nkq07X3ZDdsE+W+JAP KYqk/Or1I2eDPdGGSjGPxhdxNCCikpiK7Tz6vFkNZ9HAWCQwYlKQeXQkJnp9/ecfrw65IdaCmhkA hTA5r+bRzlqVj0am2hGOzIVURABYS82Rha3ejjjSD40aVpIrZGlJGbXHURLHk6ijkfOo0SLvKIac VloaWVtnksu6phXpPsFCn+O3NVnKquFEWO9xpAmDGKQwO6pMYOP/lw3AXSDZ/+gQe86C3mEcn3Hc g9T4yeKc8JyB0rIixsAFcRYCpKJ3nL4gevJ9Ab67I3oqMB/HfnUaefZzBMkLgokhP0eRdRQjc+Tk MRAZdk5KWuielhrptuC6fPAqv9sKqVHJIBzIywCONvDRRddQ5V+k5INDroiu4KqhReI4GjkAEizr wiJLADaKMOZ7pmIEAe0h32rEodqDxNtgUqOG2Q0qCysVKO0RRD9NOspqhzSqLNGFQhWwLaSwWrKg h+V7aRfQORoutrPwfdSvirYnwUIgDud51mdriYmLrNH0/MQ7A+99nJ26/NaRhBmiKSYbl8fCHhlZ QfAF/ULeCPyuMZYCo++2X4jgRwEQ4Tx/gJvfHBVZEWQbSNNvcuZvYsWoWlOtpb4TGGrjtzmjdU00 OKBQa2soH6rlwef5LUEYRvcv+h2dlhE8BNiExScpbVCN46s0vVombaQO7ZH0cvpm9V3kv20WSXob zzr/nVeeuyH6UYeVK6EBby0WiJeaosHajdmR0yj1ww0VAS8JtDs5RYqmDOBw2AKGI8ZW0GMB8I3H c0yNWpLar9ka6W3P22no70qhn989cbn5QPTfWjaqRQ8aqbY0gso4TTtLKuw95UFumrIIVgIG1AnU CPxhr32e+vQccgtX7FvsHvlS8bpEDD8XXSkxXbgyIGukVFtN5XY8jxjd7uzYFYCFHYbX2G/KbdJh iceSFvMbVLmTgXa36GVJkJ3oXQbZZS9LgyztZVmQZb1sEmQTJ9tBH2sYqg9Q2GHp5LVkTB4Iftvj L0RtEswOKbJsZy6Ul2wF3RA2g31OHmGiE0wt/OQoijl6dAM+mTjzTpuho2zsM12HOWX1nAEji0JL PTP2Jf5NLO4tqCiUY3HkZT/iL9rAGTUwBhS8BlbqgP3lsXGaY1ndQSfBysuz1dVqOYunLZz5V8Ru oMgf4N4/kfoGGYI7LJhmrenXeDKeZTerm2F2e3s5TCeTq+Esg+1NslhMb7PJYjmd/dM1afjfu/4X AAD//wMAUEsDBBQABgAIAAAAIQCklWIcVgIAAHAIAAASAAAAd29yZC9mb250VGFibGUueG1svJVt b9owEMffT9p3sPy+xEmgPKihAgbSpK0vpu4DGOMQq7Ed2YaUb7+zE1hVykqqbbEUhTv7n7sfd5e7 +2dZoj03VmiV4bhHMOKK6Y1Q2wz/fFzdjDCyjqoNLbXiGT5wi++nnz/d1ZNcK2cRnFd2IlmGC+eq SRRZVnBJbU9XXIEz10ZSBz/NNpLUPO2qG6ZlRZ1Yi1K4Q5QQcotbGXONis5zwfgXzXaSKxfOR4aX oKiVLURlj2r1NWq1NpvKaMathZxl2ehJKtRJJu6fCUnBjLY6dz1Ipo0oSMHxmIQnWf4WGHQTSM4E bi3vJjFoJSJ7kPwZI8kmX7dKG7ouQQlSQhAVCsJ42v6ZqJ4oKsG9oKVYGxEcFVXa8hh8e1pmmCRk RQZw96tPUn/Hkd/ICmos9yLNRtKYcypFeThabS2sbRyVcKw42vfUCB9a47JiC46dXZMMLwlcyWqF G0uc4T4YZouTJfHvClfcWtKThXgLCzrNjnE4xYLOaQ+8M2oInJF4FJJb9MBr9ENLqi4QScgtkBgA D08m7UTEBN2uRJLlSyILsAxH/fSMyPh9Io3O9URmEFaJ5iVlTxdozMkMSPg+aKvkn9bHzAeczF7V x3C0mp/RCLn/kQbpWh9zuivozqJx+iYM3yDjUBTzgGJBkg4wNpxBwzqxb9O+kkgb9rEaXmbyASJN V11P5LtW2h0qjhYaPip7+iaXFIqjWb5MwupSJMyIynVnkoyGf4dJ1ypp5yn6JraFuzhV/Sz9X1O1 6Zrlq65JyPAjXfP+VG0f7PQXAAAA//8DAFBLAwQUAAYACAAAACEAk3bWSRgBAABAAgAAFAAAAHdv cmQvd2ViU2V0dGluZ3MueG1slNHBSgMxEAbgu+A7hNzbbIstsnRbEKl4EUF9gDSdbYOZTMikbuvT O65VES/tLZNkPuZnZos9BvUGmT3FRo+GlVYQHa193DT65Xk5uNaKi41rGyhCow/AejG/vJh1dQer JyhFfrISJXKNrtHbUlJtDLstoOUhJYjy2FJGW6TMG4M2v+7SwBEmW/zKB18OZlxVU31k8ikKta13 cEtuhxBL328yBBEp8tYn/ta6U7SO8jplcsAseTB8eWh9/GFGV/8g9C4TU1uGEuY4UU9J+6jqTxh+ gcl5wPgfMGU4j5gcCcMHhL1W6Or7TaRsV0EkiaRkKtXDei4rpVQ8+ndYUr7J1DFk83ltQ6Du8eFO CvNn7/MPAAAA//8DAFBLAwQUAAYACAAAACEAXsHdGNMBAADZAwAAEAAIAWRvY1Byb3BzL2FwcC54 bWwgogQBKKAAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACcU8Fu2zAMvQ/YPxi6N3K6IRsC WcWQYuhhWwPEbc+cTCfCZEmQ2KDZ14+2G8/ZdppP75HU0yMpq5uXzhVHTNkGX4nlohQFehMa6/eV eKg/X30URSbwDbjgsRInzOJGv32jtilETGQxFyzhcyUORHEtZTYH7CAvOO0504bUATFNexna1hq8 Dea5Q0/yuixXEl8IfYPNVZwExai4PtL/ijbB9P7yY32KrKdVjV10QKi/9SfdognUKTlFVR0IXG07 1O84PBG1hT1mvVRyBOoppIY5B0akNgdIYIgHqFcrJWdUfYrRWQPEk9VfrUkhh5aK+8Fu0R9Xcl6i uIUdmudk6aRLJedUfbF+9DEC9pVgnyAeXs1NTO0MONxw87oFl1HJ3wF1h9Avdgu293ek9RENhVRk +5NXey2K75CxH1kljpAseBJj2UgG7GKmpGtLjrUnPsB52Rzb973JEVwWDmTwwPjS3XBDvm+5N/qH 2eXc7OBhtDqzM3d2vuMP1U3oInier5wQD/hHfoh1uO0fxusML4OzpT9ZOuwiGN7Jh4v1zxJqx1Fs eJ/TSqaAuuMGkuvl+azfY3Ou+TvRP6jH8U/Vy9Wi5G94QecYv4PpF9K/AAAA//8DAFBLAwQUAAYA CAAAACEAlLxPAXgBAAD7AgAAEQAIAWRvY1Byb3BzL2NvcmUueG1sIKIEASigAAEAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAjJLPT8IwFIDvJv4PS++j2whEl20kaDgYSEzEaLyV9gGV9UfawuC/ t9tguMjB23t9X7++vjabHEUZHMBYrmSO4kGEApBUMS43OXpfzsIHFFhHJCOlkpCjE1g0Ke7vMqpT qgy8GqXBOA428CZpU6pztHVOpxhbugVB7MAT0hfXygjifGo2WBO6IxvASRSNsQBHGHEE18JQd0Z0 VjLaKfXelI2AUQwlCJDO4ngQ4yvrwAh7c0NT+UUK7k4abqKXYkcfLe/AqqoG1bBBff8x/lzM35qr hlzWs6KAiozR1HFXQpHha+gju199A3Xtcpf4mBogTpniZU9kMCWlUIYHc7IypEEv5XrwOzhVyjDr Jb3MYwwsNVw7/5ztEb0FT5fEuoV/3zUHNj3dPO0vVW80cOD1LymShujS7DzytkNggR9V2g72UvkY Pj0vZ6hIongcRo9hMlzGj+lolEbRV91kb/9VKM4N/M+YRF7XN14E7Zz637X4AQAA//8DAFBLAwQU AAYACAAAACEAYEJiP1UMAACveAAADwAAAHdvcmQvc3R5bGVzLnhtbOSdW3PbuhHH3zvT78DRU/uQ yLJlO84c54yvtds48Ymc5hkiIQvHJKHDS2z30xcASYnUEhQX3HrmTPMSi9T+AGL3v8Dypl9+fYlC 7ydPUiHj09Hk/d7I47EvAxE/no6+P1y/+zDy0ozFAQtlzE9Hrzwd/frpr3/55fljmr2GPPUUIE4/ Rv7paJllq4/jceovecTS93LFY7VzIZOIZepj8jiOWPKUr975MlqxTMxFKLLX8f7e3tGoxCR9KHKx ED6/lH4e8Tgz9uOEh4oo43QpVmlFe+5De5ZJsEqkz9NUHXQUFryIiXiNmUwBKBJ+IlO5yN6rgyl7 ZFDKfLJn/orCDeAQB9gHgKOU4xCHJWKcvkb8ZeRF/sfbx1gmbB4qkjokT/XKM+DRJ+XNQPqXfMHy MEv1x+Q+KT+Wn8x/1zLOUu/5I0t9IR5ULxQqEop6cxanYqT2cJZmZ6lgrTuX+o/WPX6a1Tafi0CM xrrF9D9q508Wno7296stF7oHjW0hix+rbTx+931W70lt01xxT0cseTc704bj8sCK/2uHu9r+ZBpe MV+Ydtgi4ypQJ0d7GhoKrYv9w5Pqw7dcjzDLM1k2YgDF/2vsGIy4il8VzbNCVGovX3yW/hMPZpna cToybamN32/vEyETJZzT0YlpU22c8UjciCDgce2L8VIE/MeSx99THmy2/3Ztgr/c4Ms8Vn8fHE9N FIRpcPXi85WWktobM+2TL9og1N/OxaZxY/5HBZuUnmizX3Km84k32UaY7qMQ+9oirR1tOzPfOnbz LVRDB2/V0PStGjp8q4aO3qqh47dq6MNbNWQw/8uGRBzwl0KIsBlA3cWxqBHNsYgNzbFoCc2xSAXN sSgBzbEEOppjiWM0xxKmCE4mfVsU1oL9wBLt3dzdc4Qbd/eU4MbdPQO4cXcnfDfu7vzuxt2dzt24 u7O3G3d3ssZzi6WWd6tkFmeDVbaQMotlxr2MvwynsVixTJFFw9OTHk9IDpIAU2S2ciIeTPOZ+bw7 QoxI3efzTJdznlx4C/GYJ6o2H9pxHv/koaqSPRYEikcITHiWJ5YRcYnphC94wmOfUwY2HVRXgl6c R3OC2FyxRzIWjwPi4auIJElhHdCqfl5qkQiCoI6Yn8jhXZOMLD98FunwsdIQ7zwPQ07E+kITYoY1 vDYwmOGlgcEMrwwMZnhhUPMZ1RCVNKKRKmlEA1bSiMatiE+qcStpRONW0ojGraQNH7cHkYUmxddX HZP+5+4uQqlPiw/ux0w8xkwtAIZPN+U5U++eJewxYaulp89Kt2Prx4xt51wGr94DxZy2JlGt602I XKijFnE+fEAbNCpxrXlE8lrziAS25g2X2J1aJusF2g1NPTPL51mraA2pl2hnLMyLBe1wtbFseIRt BHAtkpRMBu1Yggj+opez2p0UmW/Ty+Ed27CGy2o7K5F2r0QS9DKU/hNNGr55XfFElWVPg0nXMgzl Mw/oiLMskUWs1SW/b1zSS/JX0WrJUmFqpQai/1RfXVD37thq8AHdh0zENH67ehcxEXp0K4ibh7vP 3oNc6TJTDwwN8FxmmYzImOWZwL/94PO/03TwTBXB8SvR0Z4RnR4ysAtBMMkUJBkQkdQyU8SCZA41 vH/x17lkSUBDu094cQ9LxomIMxatikUHgbZUXnxW+YdgNWR4/2aJ0OeFqET1QAKrnTZM8/nv3B+e 6r5Ij+TM0Nc8M+cfzVLXWNPhhi8TGrjhSwTjTTU96PglONgGbvjBNnBUB3sRsjQV1kuozjyqw614 1Mc7vPgreTKUySIP6QawApKNYAUkG0IZ5lGcUh6x4REesOFRHy9hyBgewSk5w/tHIgIyZxgYlScM jMoNBkblAwMjdcDwO3RqsOG36dRgw+/VKWBES4AajCrOSKd/oqs8NRhVnBkYVZwZGFWcGRhVnB1c enyxUItguimmhqSKuRqSbqKJMx6tZMKSVyLkVcgfGcEJ0oJ2n8iFfrhBxsVN3ARIfY46JFxsFzgq J//gc7KuaRZlvwjOiLIwlJLo3NpmwjGWzXvXdpmZJzkGd+E+ZD5fyjDgieWY7LaqXp4Vj2Vsd990 o9dpz8/icZl5s+X6bH8dc7S307Iq2BtmuxtsG/Oj6nmWNrM7Hog8qjoKH6Y4OuhvbCK6YTzdbbxZ STQsD3tawjaPdltuVskNy+OelrDNDz0tjU4bll16uGTJU2sgHHfFz7rGswTfcVcUrY1bm+0KpLVl Wwged0VRQyreme/rqwXQO/00Y7fvJx67PUZFdgpGTnZKb13ZEV0C+8Z/Cj2zY5KmaW999wTI+2YR 3Stz/pbL4rx944JT/4e6btXCKU6518o56H/hqpFl7OPYO93YEb3zjh3ROwHZEb0ykdUclZLslN65 yY7onaTsCHS2gjMCLltBe1y2gvYu2QpSXLLVgFWAHdF7OWBHoIUKEWihDlgp2BEooQJzJ6FCClqo EIEWKkSghQoXYDihQnucUKG9i1AhxUWokIIWKkSghQoRaKFCBFqoEIEWquPa3mruJFRIQQsVItBC hQi0UM16cYBQoT1OqNDeRaiQ4iJUSEELFSLQQoUItFAhAi1UiEALFSJQQgXmTkKFFLRQIQItVIhA C7V41NBdqNAeJ1Ro7yJUSHERKqSghQoRaKFCBFqoEIEWKkSghQoRKKECcyehQgpaqBCBFipEoIVq LhYOECq0xwkV2rsIFVJchAopaKFCBFqoEIEWKkSghQoRaKFCBEqowNxJqJCCFipEoIUKEV3xWV6i tN1mP8Gf9bTesd//0lXZqW/1R7nrqIP+qKpXdlb/ZxHOpXzyWh88PDD1Rj+ImIdCmlPUlsvqda65 JQJ14fPrRfcTPnX6wJculc9CmGumAD7tawnOqUy7Qr5uCYq8aVek1y3BqnPalX3rlmAanHYlXaPL 6qYUNR0B4640UzOeWMy7snXNHA5xV46uGcIR7srMNUM4wF35uGZ46OnkvG192HOcjtb3lwJCVzjW CMd2QldYQl9V6RgKo6/T7IS+3rMT+rrRTkD504rBO9aOQnvYjnJzNZQZ1tXuQrUTsK6GBCdXA4y7 qyHK2dUQ5eZqmBixroYErKvdk7Od4ORqgHF3NUQ5uxqi3FwNpzKsqyEB62pIwLp64IRsxbi7GqKc XQ1Rbq6GizusqyEB62pIwLoaEpxcDTDuroYoZ1dDlJurQZWMdjUkYF0NCVhXQ4KTqwHG3dUQ5exq iOpytTmL0nA1ysM1c9wirGaIm5BrhrjkXDN0qJZq1o7VUo3gWC1BX1U+x1VLdafZCX29Zyf0daOd gPKnFYN3rB2F9rAd5eZqXLXU5mp3odoJWFfjqiWrq3HVUqercdVSp6tx1ZLd1bhqqc3VuGqpzdXu ydlOcHI1rlrqdDWuWup0Na5asrsaVy21uRpXLbW5Glcttbl64IRsxbi7GlctdboaVy3ZXY2rltpc jauW2lyNq5baXI2rlqyuxlVLna7GVUudrsZVS3ZX46qlNlfjqqU2V+OqpTZX46olq6tx1VKnq3HV UqercdXSnTIRBK+AmkUsyTy698XdsHSZMcTLCcfPjR+Y0mDz+23q+5nqlX7HeO2BoKB4x2oJNF+8 DdY/BKWNdTe88ie3ys2mt+UF0aJFYwib8peqLb98O5SlqfItr+vHlMw7XrcbtrwK1nRk4+Lq2+V4 bsar+F5jtDr7nemQ6uizCbnOMSqi0tbBk1Jmu3qo+jMPix8lU3/cxoECPJc/yFX0NHhhBUrtv+Bh eMeKb8uV/ashX2TF3smeeSnA1v558X47q31iEqEVMG52pvhY/jCaZbyLN96XV+itIanV3jLc5naR oSNt71tDLn6eqqExytru3z9zFvNQTkAPyx1epXKVFbZ2TS6UTrZVpcY5Fdrh5pt7eyfT6cllmcFa f6XvdHSWCBV55yHzTd4xP8LX3GqsfZ0oK/D19Z76V/qt+pG8gUPxe3FY+2Aoyh1elYhrQ1HZEA3F OcuXLE+9E7OML0eithEOxIers7PLcxPN+ml3M5ucjpiZS8zhmc0PQv+I3jqq1j9aWNwusXsIGxmx RzSZ4bBGlLcZrTlTgfxVzxv1hNnMqtb4K4fyzxpv5WEc2AaqugkGHvkBUbjdyVjqPqtFiLL9yWrD AXbBMbm6PL4s7uCCoVe2u4m0E7PQpIu0hvCsgh0aaeuU8H8t5yLcbFFKpOZyNP6MMVz9lX76LwAA AP//AwBQSwECLQAUAAYACAAAACEA36TSbFoBAAAgBQAAEwAAAAAAAAAAAAAAAAAAAAAAW0NvbnRl bnRfVHlwZXNdLnhtbFBLAQItABQABgAIAAAAIQAekRq37wAAAE4CAAALAAAAAAAAAAAAAAAAAJMD AABfcmVscy8ucmVsc1BLAQItABQABgAIAAAAIQDWZLNR9AAAADEDAAAcAAAAAAAAAAAAAAAAALMG AAB3b3JkL19yZWxzL2RvY3VtZW50LnhtbC5yZWxzUEsBAi0AFAAGAAgAAAAhANAeKPfcAgAAMQsA ABEAAAAAAAAAAAAAAAAA6QgAAHdvcmQvZG9jdW1lbnQueG1sUEsBAi0AFAAGAAgAAAAhAGY6vBQk BgAAjxoAABUAAAAAAAAAAAAAAAAA9AsAAHdvcmQvdGhlbWUvdGhlbWUxLnhtbFBLAQItABQABgAI AAAAIQCejGvL0AMAADUKAAARAAAAAAAAAAAAAAAAAEsSAAB3b3JkL3NldHRpbmdzLnhtbFBLAQIt ABQABgAIAAAAIQCklWIcVgIAAHAIAAASAAAAAAAAAAAAAAAAAEoWAAB3b3JkL2ZvbnRUYWJsZS54 bWxQSwECLQAUAAYACAAAACEAk3bWSRgBAABAAgAAFAAAAAAAAAAAAAAAAADQGAAAd29yZC93ZWJT ZXR0aW5ncy54bWxQSwECLQAUAAYACAAAACEAXsHdGNMBAADZAwAAEAAAAAAAAAAAAAAAAAAaGgAA ZG9jUHJvcHMvYXBwLnhtbFBLAQItABQABgAIAAAAIQCUvE8BeAEAAPsCAAARAAAAAAAAAAAAAAAA ACMdAABkb2NQcm9wcy9jb3JlLnhtbFBLAQItABQABgAIAAAAIQBgQmI/VQwAAK94AAAPAAAAAAAA AAAAAAAAANIfAAB3b3JkL3N0eWxlcy54bWxQSwUGAAAAAAsACwDBAgAAVCwAAAAA");
}