### BUGGY CODE ###

# compiled by pythran
"""
#pythran export main2()
import numpy as np
i4 = np.int32
i8 = np.int64


def solve(a, b, H, W):
    ret = np.empty(H, i8)
    for i in range(H):
        ret[i] = -1
    dp0 = np.arange(W)
    dp = np.arange(W)
    arg0 = W - 1
    arg = -1
    for i in range(H):
        r1 = np.searchsorted(dp, a[i])
        r2 = np.searchsorted(dp, b[i])
        if b[i] == W:
            if r1 == 0:
                return ret
            else:
                dp0 = dp0[: r1]
                dp = dp[: r1]
        else:
            dp[r1:r2] = b[i]
        if arg0 > -1:
            if r1 <= arg0 < r2:
                for j in range(r1 - 1, -1, -1):
                    if dp[j] == j:
                        arg0 = j
                        ret[i] = i + 1
                        break
                else:
                    arg0 = -1
                    arg = r1
            else:
                ret[i] = i + 1
        if arg0 == -1:
            if r1 <= arg < r2:
                arg = np.argmin(dp - dp0)
            ret[i] = dp[arg] - dp0[arg] + i + 1
    return ret


def main(in_file):
    stdin = open(in_file)
    H, W = [int(x) for x in stdin.readline().split()]
    a = np.empty(H, i8)
    b = np.empty(H, i8)
    for i in range(H):
        a[i], b[i] = [int(x) for x in stdin.readline().split()]
    a -= 1
    ans = solve(a, b, H, W)
    p = '\n'.join([str(x) for x in ans])
    print(p)


def main2():
    main('/dev/stdin')
"""
import os, sys
p = os.path.dirname(__file__)
pymain = os.path.join(p, "a.out")
if len(sys.argv) == 1:
    import subprocess
    if p == "":
        pymain = "./" + pymain
    subprocess.call(pymain)
else:
    import gzip, base64, stat
    gz = b'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'
    bin = gzip.decompress(base64.b64decode(gz))
    with open(pymain, "wb") as f:
        f.write(bin)
    os.chmod(pymain, 0o775)


### FIXED CODE ###

# compiled by pythran
"""
#pythran export main2()
import numpy as np
i4 = np.int32
i8 = np.int64


def solve(a, b, H, W):
    ret = np.empty(H, i8)
    for i in range(H):
        ret[i] = -1
    dp0 = np.arange(W)
    dp = np.arange(W)
    arg0 = W - 1
    arg = 0
    for i in range(H):
        r1 = np.searchsorted(dp, a[i])
        r2 = np.searchsorted(dp, b[i])
        if b[i] == W:
            if r1 == 0:
                return ret
            else:
                dp0 = dp0[: r1]
                dp = dp[: r1]
        else:
            dp[r1:r2] = b[i]

        if arg0 > -1:
            if r1 <= arg0 < r2:
                for j in range(r1 - 1, -1, -1):
                    if dp[j] == dp0[j]:
                        arg0 = j
                        ret[i] = i + 1
                        break
                else:
                    arg0 = -1
                    arg = np.argmin(dp - dp0)
                    ret[i] = dp[arg] - dp0[arg] + i + 1
            else:
                ret[i] = i + 1
        else:
            if r1 <= arg < r2:
                arg = np.argmin(dp - dp0)
            ret[i] = dp[arg] - dp0[arg] + i + 1

        if i % 1000 == 999:
            m = 0
            prev = dp[0]
            for k in range(1, dp.shape[0]):
                if dp[k] > prev:
                    dp0[m] = dp0[k - 1]
                    dp[m] = prev
                    m += 1
                    prev = dp[k]
            else:
                dp0[m] = dp0[dp0.shape[0] - 1]
                dp[m] = prev
                m += 1
            dp0 = dp0[: m]
            dp = dp[: m]
            if arg0 > -1:
                for j in range(m - 1, -1, -1):
                    if dp[j] == dp0[j]:
                        arg0 = j
                        break
            else:
                arg = np.argmin(dp - dp0)
    return ret


def main(in_file):
    stdin = open(in_file)
    H, W = [int(x) for x in stdin.readline().split()]
    a = np.empty(H, i8)
    b = np.empty(H, i8)
    for i in range(H):
        a[i], b[i] = [int(x) for x in stdin.readline().split()]
    a -= 1
    ans = solve(a, b, H, W)
    p = '\n'.join([str(x) for x in ans])
    print(p)


def main2():
    main('/dev/stdin')
"""
import os, sys
p = os.path.dirname(__file__)
pymain = os.path.join(p, "a.out")
if len(sys.argv) == 1:
    import subprocess
    if p == "":
        pymain = "./" + pymain
    subprocess.call(pymain)
else:
    import gzip, base64, stat
    gz = b'H4sIAP90T18C/+29CXxTVfY4/tI1bH0BAQuiBCzaspSmZWkKYkobeA9S6NCiOIohtClU2qamL1AcRtG2DjEE+TqK6OiMCypuAy6jiIqUpQVcWAQEV2QQEipQl2FRIL9z7r0veS9NoDAz3+/n//kbaO6759177rlnu+cu7+Ues2VcjEbDyZ8YbgyHOf1VJpI3Mbjp82ARgGVzHeC7L3cNlwD5OGU5zqRKTzPUcqpl5WJZvewYms+OManSPqycnGoUaTyn/JhU6Zq/caoUehKsh7SmvkKhqa/MUKXLGdLVCep6Maye71UK9b06Q5VyMZwqlfsXx/6KGbyY9UtO81m5fEV5/BR+J5USfi5jvVpmUqWHWLlDYfV+B/USuPZ/dCydwtqLxpd9sZwqleUwtKJ85ohhQytKh1SUV7lqh9RmjxgyYlh6jSM9k9CkY2XHT5oalHeMgubuDIb3R399+6J9O7p//EH1naXrMqYPLsz9/me8l8nqJMJffZJuRue0DjFYc2FnToP3RsBfDvy99D+jNzxR8v7mjvcutb7xZdaewT9Yb99d9FTdooaSnnMeeXPIX/tUr+m+vHNerTjnrTTzHsuF+OIDJnaLAJ/PRYY74yLDV8VEhiclRoZnaCLDu0WBC1Ho7B8F/xNRyh+PAl8SBZ4cHxn+XRR4WhR6VkbpV48o5TtFKZ8RpfzbUeQyLkp5MQr+v0eRuzmKfA9G4dv0KO1eERsZPjJK+bNR8D8ahf7FUeg8E6X8jVHoSYvCz9godH4apV1tlPKPRtGf96O0OyYKnnuj0L89ihw7R2l3axQ+/xKlfGWUdidGoVMXHGHUn0FR8OwEeD+uB7eF+WW5bgNH4T4Gn8bgG2Io3MTGKdnf38zwFDJ4MoNPgn51xfIMj+znh8v97WVS0dOVyWV9bzX81niKfzbDv1DWZ0an8IoaPiYB2+3NrX+N0ckaLmXyKgzD35fBD4TBORiPaqTSkkGDcAwawVmtsyodVdYayeaUrFbO+vtJRVJ2uaPGOtNWYx8mVpVL+QbzXIAX31QkGYYDtLwESjvttsqZrjKxBICGktk2p1Vy2sqlGrHEbEactbXWaruzxlFlqyiX5lvnZhDMjqxql2QuIdgmGTKs1pLaWtvM8rmGTLiuKbeWVNhqaqzS/Gq7tbyqzGHGShOLpOElCALUhixrgXVeeam9Cu6XS4QuoNdIqQKqI9IzvKTCbnOa4U6mVYSewZ9kk+xQt7SiEFEUSdi+NNvpmGetsFfNkmZb7U6nw1k4EUgFGm1WW0WFowTqWO21JfZqqdxRRaoZRlitDsoMIKjG7pQiEjAFYFmURlZaLLYWZ1jNRSOshROLsqwVtB8jsJEKO2M4AEYSDhkMBmOodnnVLIYjQlNFNmwvz4CdzSKdnVxtr6p0lNoZK4MYM4OSBITRURmyysqrSq1l5c4ayeooMwNLKivDiGsvqkwQXomjCsq5SiRzZQnl/DCZ8w4XtmB12qpm2a1llRI0dVeYPuZnUlUUQeZKSVwGNSOddpDXXLu5MihJSsZMW6m1xFYjYUNV8yqnANOMVQ56T4pkH3mGIFGGLKerSiqvtFP9YdoZpJSRf1lyGKmQA5CjlEVx8eWrimxiISKHzZttk9ooYHvJzAAZO+3VFbYS4GwlUnh5iIyAx1YNultqZkhAFpfLuxGEd+BbwllHbJuIliqBMegFHLMAccgJYBfChMusFMhh2kG9moK84UryojhLhRTatACKNWXiZfDOzDpW5rSrHdZlyqEEVEiym6dUUlMZVgKW+m9ItaamfFYV9KxoGB1uHMPLKlw1swk30SGHWRyMV5V0qIKrWSXQCOYMnHVq1TwU6xR7javSjjdLaLEyB6gNVybZK8CtYnPglq1ltvIKDsiTHBVcmd1RxpXNsks1CAGHLzt5yV5bLnGV9soaO0lKqudzZSUVjho7V0lGAARWOubauZklldVQCxtlQ2elrRwaBY5z4/PyrFnpGdx4izg2b9o0uB6WnqnOGgyqrJGDq9yxotWQnqWupipHr62Z6YbQZWb6cDqpjoXZYiyk8eQqhlzHwr94mJWH8jEwR9SSPM3hdwdSE2H0j35jzY4MJ0fuxxN89F8cwx0L8Y+GezchFKcVXje/Ewc1ZybK8+AEEiPh/Wr8O/0oIOzA3ZFIYTaS13LzWd59T1oMzmQXsfynq+bE40rGMpa/k5SP455meSntIS3StzrYXgy3LyEUxz38P8sScGXiPVbe1bu8A/KrmZX3raLxFK4JDFWESa0KeIZyFYXFZfFsXh2cZyrgOQr4FgU8Uzl/VsCzlPhfDcGHKeCFCvhwBXy2Am5UwOU4EeGjlPPS1RSeqIhdSZysgMco4KkKeKxyPqmAxyng2Qq4cv3JpIAr118EBTxR2V8FXKuAT1PAOyjgMxTwjkr+KOCdFPBqBbyzAl6rgHdRwBcq4EkK+CIFnFfAlyrgOgV8uQLeVQF/SgFXzmtWKuBXKOCrFfDuCvgaBXykUh8U8B5K/VTAeyrgOxTwKxXwfQp4sgJ+QAHvpdRzBby30r4U8KsU8NMKeB/lvOW1EPxq5TxZAb9GOW9UwPsq9V8BV84r9Qp4P6X+K+D9lfqvgF+r1H8FPEWp/wr4AKX+K+DXKfVfAb9eqf8KeKpS/xXw0Ur9V8DTlPqvgA9U6r8CPkip/wr4YKX+K+BDlPqvgKcr9V8Bz1bqvwJuUOq/An6Dkm9132sFT/zU5XpOaFgvxQR2CHWbtBuD9wPDp8CtwIBi+Ob7muAK87Pxlv9AAD4DJmAeXaB/B8mPxTy6Pv96ks/BPLo8/2qSz8Q8ujr/UyQ/EPPo4vxLSb4/5tG1+ReSfG/MI9n+apLvhnl0Zf4ZJN8R8+jC/IUkH4N5dF1+E8n/8ijk0WX5M0j+R8yjq/LrSf4o5tFF+XUkfxDz6Jr8HMl/jnl0Sf7W85jfhXkd6T/Jb8N8V9J/kt+A+W6k/yS/FvNXkP6T/OuY7076T/IvYb4H6T/JP4P5nqT/JP845q8k/Sf5hzCfTPpP8g9gvhfpP8nfh/nepP8kfxfmryL9J3kn5vuQ/pP8HZi/mvSf5Gdi/hrSf5L/Peb7kv6fw/wUzOtJ/0l+Aub7kf6T/FjM9yf9J/kczF9L+k/ymZhPIf0n+YGYH0D6T/L9MX8d6T/J98b89aT/JN8N86mk/yTfEfNppP8kH4P5gaT/JP/LMsgPIv0n+R8xP5j0n+SPYn4I6T/JH8R8Ouk/yX+O+aGk/2eJ/DGfQfpP8tswbyD9J/kNmM8k/Yd84Qc7X5/B+fYAKz/ANaR1mF27BqzR9xqgn7axLJ3vW09Mje+bDzZ7THTvvF1wHxTqDrUWFovN65+618QJzY0ZJGnW9QEb7PHXh/Xcz6T8TyoEJm4NBizCDfgtXbGGWDiYdYcPEBA4ULZ0I6kVqrOOlL/3OEkaz8cK7lah0XejoGkSdp6XugYxJDIM4fUX3nAG+su5rpwquL/z3Q0MaIo/AhDNdFoyvHzLEjW9uTcVFQruf66bcR90z/2Nrw8EX5hiCcHTJ0Vo+EJKFery9AFXP8EzSvDm6QRjsxTvqwPmYsE/YNocR8YIw3p0Xrfm3r5RdDddsLaZ1b5BUdviPuU7BjJREshNzb0596bcqbnFRcK93wvgZkT3ecH7Xsoi5F28x8T57gD3KzTXp+xgHrOpPmUfph+gjqzDONf3GWBFJqYK7kahrlEnuLVCs4mEY00mHdQ26dGBQkqGopYY6Mg7Afq5R3DXpxzAu+7FKT6OttXK2rJ4VhBKLO4VKRiGFjQckhLEuvwUvUb0JGBNrYbKL16og0YUNOUxmm4U3JuFuvVAk5lbR6hwn1iL7tP3P78ib8yMNDMhTXC/kqKjDbmS/b/LRIVVwPj6MQASgfP5D4z6IDnY2N6zpDG+/i8Ex2bBW6PJXRiYKvDmn5CbJqju6zcSqyaQcqcMKP4nyA0QIl9/mACyBU+WrwPSBdRSuQ5QybXyFypXO6bAKBOLzYF+LesHiSIRdyvrD0kbvnD1ahkFnWl7Q0qBlrQB19XYUkMAWrmStRI4A6lHLniMr7+6C46ofwTNqR/UhajCaZwfCJ73iHigNl/fB3qybg6o+zs4SBp2+V5EbHWn4dZTarV56teg2mykIooVmvOo2uSh2uQx2eTJavOF4Pkj55t2OhBAA/BSpUQ12KFQTKSYKtQTNG04JvUT6szAzN5YX/CaGTf7Yv/cJ3xXQmpxv0nUj2hXwHW96BmdInrzU1jRn09jkSO+709Txi+S4wvvgpRCwfsmocD39SiEUHkLXiml0NdnBGoxhRQge5Z1wzbGJ4MC9xU9Du0HqUF+LP2FadGfYTgv40+s/4m/B42GSrTZlEzVNz8lGy2KANO+Et3fi41nYy3uA+DXbrC4R6fwDbGdmbxmaYi++25iHPNgXdAyIuV+2BWPJSXb4jZY3HdqJ3rjDgvuXB3WXDIEa5LiXgEEY0lJBglpsXFBaDwWK9Rt1rQMBf8huKeDRmyGO1sswDGLu0Vwg0faCEFXBfCubjOI/pyGX/IVIR1AovsrVK1D4zG/EdsXBE8aNpUsjEp1rWI0kn7WCmmbRfdxEf12wzGLu/UdwgE+v3GSNyUj6EL6isaPLPz4by2aVgs/9lt0Et0meEd/R+YVt57Crje3xJoNAejhKcRbPdHd5xRi9EgptVKSxQ2iPSm4j/ruJiypSKnGLhU0nITuSFr0m/86iTfykVfZgns28GrwEUIzdtrfAYhAmQaknjQZJXhuA7UAo6vwL0Wl8vQt8MzTWow/8Q33x1Or0yIbnjyJahXwPXKSYXBtVpZdpix7JytbfjLM9llbUhr1GP1VHmPUSWrLWaRWfkohrWJBJmsEY66Wr+/UAXU0+wN9UBMTTjNNPNaViGmSd9g5eQh5nCCsT1lIJBrbBAYLFqpjlkrmegpM751imJ4lmDajmW1hmAoZpmyipWauyawlDkzD/BPqO+QJSrAdtOf1pOp7Kbi9zy95HMJss+GQBS2tpRsZicW6TZoC41m+/u440kjQNPOyQ6YJ0vbVZYZ54HNJ6NvyksGbDbJ4apSGeeok68QviVi5NAXkcVtKRnQTjUuRLVRMO25x/yQ0/horrJHVVTBu5P+0JRE7dZKvv0ODg+4JZMiqn5EhmwUP1Jet9A8I83ROEdxpgrtcK3jjviJtaXxoq4hhSSrpUoBUa2OtYuPxWLGuSdOSRvhT4B4q1jUTcwVN9ixAG23WQgFQv/Ngp18S+gHsG4vcRGLAQi0eI9X2Udmu9yl51EDFtGaL+1fsHhHQvqCBWrxAQ7iBCpp9bQ107U+k0+Ddj6k6B2ZqcVd8hZK3gEmCnQrIJWDnL769hCm3oZ1uBDs9hkZ6wleImJA48EDuadpJrAVRc4IQ7+8IpFg8pSkZ6OOTA+iWUY+kTjTvsrdkLMWxvQDcArW/nhqF/f3wIx0C/D+irZIaWeri1yuLb2DF1/4Y2VyREi1R3ciGe9+P1HDv+lFluFQ1PCatkHaary9EB+HhBc/DxB4nuDsfFBpPg3s+reHvzyI3x4MrXkxsbII77lsSNYKWB/iGnRC0+PqwVrpD6v/grDo6zKejx+kfkIJYOp3eqBWNX0uzwUhwXD1Bx1Wfclz9yNcMFVo2B+uvaVtfuGD9P4XqizTK5RvughmG/4/n1QSaQvfdeH9xm/vYfnab9vn6JwkzCQ0tlIZDShq2+GKRhsalpP+tbeh3Xrj/rUg/Ge4HonXXBTSuroKH+cw6LuC/goUDSzrS+3E1BoiJQU5Ywn+EDhmkX3shNvHvhy8Z8AMCfiYRy2mh7sBZMPmzgvsTofF4jAB27v6x7qBGaNjK16fEYoCw17C1jJ+7HkM0xP0T7+i8Hb6Kt+vg+7btevgu3Q6ubPcW+NsB7gxv3wO3IbsP/g5AjhS7B4pBcK+FRs671ggNu6SBstoBjrht8GXZBrXm7oJaG+APIPcg+B4Ai8ZmuXdS75CEypYKdXGNECKs10AJ14/ooFej2x33J5h5tA6SYxCPlmg8zBDQ1wlpW0JKPilGNd5YfmCuOqsTc19PkPEGdfzACeJpRBhqcnGsEdlYI4bGmLvBe55YFyAVPvc5jmOFV1L0JBiqp417ZmshDm04JvDiV4qGP21lDePkQnRvEt1fC97R1J0RfzrzBAYicSm5Tfkp2HY+mVSA405JwUwym4ny9Q91pKERhmFLtKge5+NqEg3r/RJkgqPIPcC0c5Z+rYK3GsT/o9B4FMS/QePeWfctcOZ85xq+jHfED7kZQ3D/J4SKT0AbEJhMgGX5cHk1XOJFlxR20WMQXvCOAVk0HTKKpsPzaHrDRJp2KbqZzB/hckdZLtWcuE9Rcz7VybCdcLEPLz4ncNSh2z7NIHf53bvJTX73V+SeidwrZPf2snvfkHszyD1w9RtQJ2GC2RTnWkQ0fE4ijundP8Vbwqn9SJblJkJej+KbqP0zTPsBx9hW+OqNygnl9UKg0XXQj8fpDFtBmfmGoTBh9BfD1wfPg/Kta4Svd/SLTNzaszh5q/8eblTBrGadE6c21zfADVxx9M3BGx9C1tdPXeSeOihyCxYR8AZGCL7jLSQYFbxPpBRq6AyFxB8wPAia4PS6kCglmyl+fC3qXDWaXffgVHLZMVC2kCYMotXBILrN6/7BoHog5uEWmawH4EquuO4zoGwtLtb5spAU1kbpNdhGhuAp1AabuAIRhOZqPx8j6u3qK7DJTGhIMn4Do9VuKG441uJQzLbR4ElJ435XR/AOsRgrtcCtAmJMlAHgMj2MerdZeyGGtJ2qV6QUvqEh0ywMi3/MQktOnP2IiTN8sc4Eydr1s00YGPmOfE+nP1Engj1b6EQwCdL6L1xXthjJbIn1lHTwp6M0+n4Z0pbefjz35X+JhG5NhENYffJRDECeIIaNccAYOq6PVI3rLx2lI+4zR2lcIJ/QatEpUcUxVFqGanCk1QArQ3UzQ6UNhhhPsPl4lIrXsYrXsIqcoqK8KpBKVwX6BVcFNKyS308ryYs0WOkAd4HW1vhpxdWs4gFWkSyonBwgz7n5hqN4rZ53L/DTKEryq+fdGC7riTU1+XsNIGKQAyu+AUNq/1IK9S+C1L9Sw4rgaFJnginaEBJKkUsxeMnXr1JEaHxDP0Q0fkBwGGIx+REfCmdBSrbvKx8LObG2620ansGksBYCwl8lE4sSUqnS9VMr3dM+qnSP+cLCi29czQxRMJh0kXZGp/gqlA3yDb8LsGx7Gx3MGk1pR6Oc3OipI5FDWL5+UApH16n4Bj1eKsXeeISK/Z0jigDWf+ZaKpbSa8OENhF5PUmGsh7iZDxDGgBdIbNqTPj6p1UywlDK3/NaunxGxCMcYXTfiBdYxwVxwHSY4/6RcCjf4rkW5yBDo6z1aI9QneOOhHiEdMiMWo/Iglz6/DDl6K7DrDG+wUqk0v4GHz1MG3zwcHsaLGcN2g5Hk4q2f1Aq5/qFSWXQYSqVaw8rpbIXiinGrvj75eFt8XdYPG4jDdGaXD+J7u8t7mMWt5SSrIh+9hxh0c97GhZ2YcjjOIwGGiXagsldigm/CnGuNw1rJGOkNIPg8VKDLXAfQC+xZAUZ3gI0DnpAEx4HCf1OXzgOGjCJxEFfq+Ig3aRgHNRjEouD+rCLHtdOonHQIJoOyaLp8FE0vSGPpl0mTlIu/y8NxUO5EBDtxe/ivZEiInJDj8lte9vGROSuid5tGxWRuzPoXXVctBDiIsklervvVcRE2QU0JjLR9ALxUEuOQgkWL5KV4E//hFiA88CNRPh6pxy+1m7FIKHqnySmbULtAPVy/aQSi4YuQBhBnMd70wFbTyY93+owB9N3sW49KH5+Sq3FU5xiKnDvgcgag2WYC7nrU1biqDgBDWPuP9WqbgF3TIKFlUSR8rHuBoyk0QbQbDQF7s3y/B4skK+v0rGLib1xEWR3cDbmHbZP8BIlPOHbnoNK14z36JoUIvP22Qf3BAjnPYNTfK/koD1dgbENmQ2M+h1MTSTUXKDIlUvmfDHYPQBCqHPKMmpBisDX/4tOL/hFuEJtMZ7H5Rp+0nk/zg9U+zEF7oNQSxgFjJN4sIRal2BsEoAmKA0Iau+GygXuMxZ+0icFMAXTinVjdRogyJK2/R3iBHhxO1lWau6FI/JWZIiOr98cx3GTvX0+EerOaFxa0X2F/404ul6/5CW8qDsTx9eVgucxBPxuBHhHAxsD54XmRpQmtH4GWp9/HzQtan4gLVl4YWsBBs7zoYB/AS6BekePDKsE8+cfhMYzNwr9fsCJFF1sO4a7NWYkuzilWnA/zMK/N1lIuDhlBknfS5lNltG7b8MytSwsXKihB5KEYIeFM1i2WkPX9xYRob5Jg9jjN9LwZBELT6DdPGgXKLgWKQi4+pDREUaNTgv/qOVc8b4nvqXONQ5T0IOlbMm9GreiljM0iYgmII1ARLdTRDeHIypiiN49oFbdliEsoOq08A+k4MBvqUN+6EDYzkLDMdezS3H5bQau1qEeSQZUgc4W4xmc+/OTGlv0E7xxRoj7gecbGM83qPRJcG8TGn8B/m+zMP7jclm8SPgPofO0BybpkG0ogkWTcU0gAbxCInKcSqGeSaHzHkJU7GImrcURJLJDlkgj1osokdvGoPXSXhbgvp1YZ9Jp0IQLkbCBIuHmtRaYpjOGds5lHNUcwFHyhK/8G3Q6PovnTSodwLacuAHoDYqK2OIMRJ6IyAPSDYh5LsXsiIT5hW8oZv4btayglZYxIg0ruuUurIXCnaC+bx6jwN2Muf1fk5xSdtCg60GyfiU7J8HdJ8Xi/qd/ATJlXdBJeu+GsWt7mcBXbSjjq9fnC955MIr9S2g8FoNbLLluX27dAVC3831g5DvmfwKfgEEzvndjK+lyk5B23HBMMf6A8Opb8KAHudDLFxnyhUm+KJQvZsgX1fQiv2Uh+V5Kvp8i36vJ93ryvYN8HyDfOILEtQClehh9tK77kOkGUeOf6B0GrqZJJzYeiFeSV0aQppNq6VhNNPpc3wvGM8RNEUcqXa3SX9Hd/VehrhlGlzOun9A/NuwSMPaQ0tHzBVz9RU8OiofPXXgXiEfr++KrQACcqMX9mc9ELwtAilr4MsNYvxRXXWshpLCQXR43OsdF09AqjEf4B4fiaDGqNEXLe1PIJfHdmd1p/D9DNDbf05VoWIH7LMRl/JKvmVt/8F9XsLVZdz1zcnRLGlX7FWYxbM4PmAqx2AxVMTJ+CF4LGGQuGCT1iYvGZoBBanCs1gcn5p+PoaFeBu6m4DiITO9ENJ2vfxjJhuCSjEM7yNrieIA3bMZLz41M6+8hWv/al3RG2+vLCIOr/88aOh5h9NUfNGOiJ//w6Ymj8r87XeAtTQm4DpfR9V1KyT7cdF1JDpHEqOIhGS4aT/APfo/mOqoCOkpqBc2A914fc1H+eTBcdtf/Z5j4yA10Nyqcf5OU/FsY4p8rAv/u/ILyb//nkfiXp2HM8eeSusSJdKVOpKNvONbFcuBDfMs/ZxnEMiOIhVLRkKNa00YbgfHAB6PD/M54mEXj4xfNw701YyvvreqKTUE85vbjCuUHMoPnJyEk1oLaPgELj8JL742kuOVjDBRqu+FQ0ak4RRCMG+7u5h/dlYy9Rsjxi4eSzTsMc9K2CO79guGMYGzkFxNUmn1i8yZsJejqjKf5Bj/qwsCubXs+6nNFz/+6/0I9x/NhQaQhn0lHRJkDWwgHXBhyGbfw3goSWlpSkkNsUHa+QBfs/Fhd9M7fqCOdN5DOZ+rokjP2+wfS7yk60m9kef04Hd2sXElm0hDzQmRI1ovdcfvRLt7ZU+u/zqB9pY/Ar2oU3vlYzmm2CI1bYoV3jr/QNHGkOxepx53FWv5PN/yL7svPwDXOJX/h6VogBG7IGBrPNTzCkZMpo25DB/U/PFI7ESZgX9zTQdDs5xeV8XLf3EcZn44Kms+h/1jU+DnvzccSbsseDoOwGYxRUGynoPHzi64jxXby3qtJsbhPLF6XRqg7d55/8F00Zm/cNTTokAO9Rv+r1F+vpRugnxiOtfQi+y8wioEocDqiQYz1AlYw/sh7NyShV4jbe/chJOjBNzDrkfacxmCb0nJC0HzDL3o8iSzB8d7/wRJu6RyHU0Ug+Tgrdl7QHOcX1ZBi53nvHaRY3ElqKdDS4loMUIuSaDxkbAGpiPzkJpQniUz344YyO5+B8cj4CE47GJTK4VD3j4mqao5Gjk23XDwSmjKcxi6LuHAXloqEXEs8j6tPuNf5dS/1OiWYgnNdylbgSAgEg1sqLjRocaEBI1TEVEEx2dv4f4ap196wCHUULk9g0S65CxekkLINe+kKxbE96iAV8LueUu3nEMUFTSFj6z16UfOJWHceNIUcloVpS2vLFaryRj8Af0A7bjwNwthCVzHcwY15OWb3FoNXn6BD9hGvPglj1Rjw6gnyOIBHC1isuvlisaqY1rSGTWJasV5ECa3Oihqr4v4tDjbS9WQq4NKHBfVT99Cg/v3dsrdrd7Sag52upWjvDEN7fjdFW7Y7wpDTkhfua7fvVvjazN0KXxuaZHzheli9H7cgpZaszVTXmnAMwWGXX7Qcd7dg5E7mvR07oaFt5r0auFgKtn1cHJV/jOPr36eTFsFbGbjH5y9rRY1ZwQzrEMFDz+4pzYsO5xYmwRCT2zWI7xhONsqCgzhj4ASyrvz1CbpLj6P3LrymOs3XvwIZqtd8w1Nw7XvxU3APy04oxhrofa3/VVJJzdC7P1Uw9NtdEQYvPDi4yG87Qc8nmMg+f0WKHsVPtiE9g1OkQVS4KWHC7fcpFa57l3LD/wJz1dZddIo5bRd2FSZ0iiMr+bvZgtx130P4cIGzZDr5pEqB+2c8SBY6piIaN/F/eqwDO6byRQxddO+0iyy6W3CBT/QMLfA4tBbjMZdEjlNBT3GN8oRv804MvUcWuOeRY2Wie7wOJ9BbOKYMdIzklzQAVrHx+1hx3awy+mmZFzZ//cZXu5Mc1GTn+TdrReMxvn4r7m6zZdGjdNfhn4qFzmbfWKjVsh7rZ+8M3zs4gxvZYt1ZDYll+SXnyWrjdsHT1XAy/PzATsG9Qzx1HL7JweHGX2IEzQbBG9cN/hYKp/bxb9Vr7nSbuEX1w4jLqmsC7Z3fQagLdJvXiLFFnyZ6B26dj/njQP99aGhyG+zeEKy2eoiy5ILpD7D9M7ABTBdZegYWsfDYG9cTgo3zgndxSi7ZomqsScfMWE3YehL/lo5/65bAouRFv8Ntdhh6GwWvqHEeUeztJe+i5zBLcNcZ9+826/AIjWxmadtR4psF4vfqTuuc1wBTybabYZfvlZ30yJI7lsXkeTqcbY8S685pXP0foOQuMnMtaXS+YPiiJV/lb2CUZ/7W4j7qm76dnrNDRDBL6NQUp2lzDpSoGY4QxFmTI0yAATO+v/dTrffw9V3P46I8WQlPwMuggvD1B8+B7V8N7fn3naN7bavlWrckYCtEwRNFz2QtWTJu4uvnkNlBiZYcJMcjU/yqnyFuk65Vxuc63E2u75mAA5BTS85hGRtdR/C0aiHzeSZN6Cwa8FALRBR4RhaMmqfl629FP+gZQyYgH7HTrCY6EdFr0NqQvUmiZyQ5DXXU9+F2dFwLUpItmmMiTMIZ3eO1xAvuI1OvJnpB9NmTRSoe9D2EYvVcg/Yzy6L5zuKZAwzP09N12zw9NtNNLn3UV0oEQ24H8Larl2pXYc/H1Hd9/DG6oiYt9gXRHlPw1VWnWFw21cu74wOximeo7D/4hvd+xaNIv9Jdaxyl11nwNMjBDpQZa8ijEhrar4bnODobTMbz3+SgmN51Fe4E4SY0IS3nY7pZl+zL+Fi1pd1vO3ORr7FD2+H71mB3RGIYtr5Nyqh3rv0vha3e5tNzJls+ApFovpP5ADINyKzm60/jpAZ1SMXrQyFeH/Sd/jiM168reP1XXzmgb3k0tA9fT1hCDyMz4kjHcz8iW/ICGzg59Ub7w5ew0U6ZTk4Uj1G43d7Y2U4fAlPJ0xXurwX3Bt9VSB2EQ/Gvl+qhpMkneMkzG57VB+C77hONTyTdi39Ivu9Zvvr1GdTwhgP2hX/I5qT4B/LyWnoi/i8+xNKxcLkOT+0HCjP4da2kQd+Mbah0zb7T28jOmz4g3UCP35aIHrMOuSeClPj6RXRqxnIvsoBZtvaGDahQdHBW7pTGfEhH11+20dFDZjI9pvuk8pjuPznFub9t22hYvWEbCl1BR0MtUYOwtcdBH9K1xz+3KX5zpOJnt9HipdtUPkvqRL1c/R+YyyBnZzFswEJ4apaevieRB1//LidvadNtZDJb/5is1wBu7ba25+UOX+y83Kdb8bycyims30qdwpqtlIOrgwcGItHXMIPsmtL+dsTu8vX30uc1fHO3EjeOsZw5QN24InDysXYKt7JD2nQ3/srghvDIrfJ+/ZCt1K2QI8HVOHW/dxM+9XJr7m2503Nvz7VO3yifs8OnyfxZ8OVbtJVqQuuWIBUf4E0XkPLBMhj6162Br3f6PwAuDSMJ381Q8INfFsON+71wwwdfa/GJN9+YLaojQi33yTtsA/DGWw/Bjbw/w43n4GstPjPn67xF3nq7binuycHXWtwb9f3ULB/weRGufD9voWch5tN9U/+dLO0dQzfU6zDglW4USLyKYbIri15THulIhkS58b7lWyi7tL7zzVRycnSLaFJBLu/FUP1JJaj4hleCeQW6VIZOZOhSfaua1dMWvwT1Wi6ZvtPNMn23t6FvdAqQx8mriZS6HzShg7O4VIzXDNWrzeyoQPdw0t5jJ0aIrl+ndg1HmqhCfNOkdg10jZKaVM/gmiUezZgBjuKffP3RkBVFPp7hZZgbmsJM8EtXs38Fpzxu9I3vwGYwudHkuERoiyviCZwRTdRC0pvC9piCBLvKw4iVci9I6KHNlNAvN7clVMYUdIlvb6YC0/le3UzXtmCAyNXR8S1X50rHGnqlqPVMPl2a6ERKj2iqSeU8Wo8ggcp8/VoU15dc8ICPiS4Dk9Vk0MKWbmo4TO5SmbqNVqhbRlR1c2+W1e3EJuXMjNiClBWyA9f1UW3AvFm2gZc3USelV1SJ2PVurIreV7tJ7esjirhoExXxxE3hzpb6V5XTlXrQHUyD4kCUpcUWPsF8cBMV8qmNzPG5toe53krW6p6NUVzvextl1/v6RoXr/VdHOpucvjnsecTQ44h13+tE9ynRfV4RslVtpjOV22GmAlMSEWYqFncqiZU9ZGIX8P1hAzrCTVTWdaf5udfgVAXVECLt85vYVCaWSpvMVg5J/XAq6OqS+0BiLk5VusEkJd2Csdh5DMe2bqB9015gTiK6rxHqNumCw8jGDwowZq0ixIQsNn0Djt6nfGWbcFKO8eJUZYcFwf2T6D4ruI+sM2P1EyRWHEX6Ny4OQ497tGyhxeIZnFKAAdl4hHtc8Feghf5DJ/dvlJ+3e4Gjh3+wft84YiAWz41yabZl7JuP5d0bFWxO3CQ/iEYj4wLNeYvmVzk+tqT9hCcsyAKfUPcrSOmE8ypkso62/9hG7HQiWijcm6wjMwwoqHEV5T6QtEjb8nsyl2E9cA0nT0gpWndvpELuhUcxoE3AJTaPJ48F5jaN13EtA80GXO8AE7ilZbiAm7An8bR2v0YqJ6gwXit6eJQTVNTTQ0fjqZxItf4YVolBX5bcSGMqXWPoYVnFUsqZDYwb+A5S4AZ/83q+a9u1FLaMgov42aJ7MN1CWhqDTygdwwlaRsu1bD1j5XrqRrTybNYE+geF9VB4nYDnjuOoMuPEa04j0WcCx4cNdb79Z6lP1JGQeTwZ68ALTdSSGgd9+7EbuJQV6amSweupwaYwGkgf6Bx3iyXNx9/Xm3SypcB9uCDtOC7D6XE7RVfgudFibLXw41oLGk5KHUjnviOT9mEpeH4GSvnEuvM659WESMF9GDThQUaJjj7AZMHjPyelgQWaE/iwkeuKXP4tHvShl3K/EMUJZvejb8oH8tM8OLtDZUKBKvTE1kj1ZLTiqWNPMZ6pO4qT4AzcIXB/JRUIbh0bLQRdizl8vkbWD2RhCMYTrOpXksXHAQXqCiaO1yXwXTWILxnwaXFTjFQnR9qawHu3edqZeiI01U9pNEv8kS+2K90f1BIpnjwXXKdoOadep9iG6xSudRBv4vsG0HQCrl4imLF3PJPptHV0xlG4DpFsEhTBLKqeQh8b8BUDEQPQFe+rboSm5x68QZzZ03j1KdxYN+9PeK76qGG97/11qmqhc4PFUNi/UBGwIIFD3w9Qw+Ub/kbUTmmFD71PrfCB99WPrOegFOh57ArCSGkojUhS1RHJlPfpYDXhfYV1tcSSijj+3NeBxjsZZKUA4xm8hnGKPXxMkHR5n5pH/PvUUWP/oj8vnwx2uvBuDIjTYrGnpwT3r4Ln7gzicM/FhD0HjfyjfvnKWJXDW76OKvJAkS5C4JFJsdnMPJ5ZhxnmxeiMHB9mPYb+F0x+kMVbmqJruZLvu5BjsyXhPTzFzjeMxNjfM15PnNdU4ifARR9Zhy9i8pW8z7zaJ2rv22kdg3ei3g74J9Y1Qb0M3P+5+l0yVuATjhZ3K3p/Zy9yOg7N/an32YPrxNoLiOO/mjj+DvxbYL9g6knEvg+ju3a+K9u3Gey2gKPDqnrpgYxw95FI2gV/U8ljfvPXsum+qydqgMV4CgRX/C6VvuVdnDSzPttIzWzfzcAQyDdcp2EobWRL3kyHweAJKUGzjX/rNp1yjejce1Q02Yr1IX7dp/KLBHwF77Z9h0BLF4U/MxwjzzLBkO7rRx6FPUbXmyyeYSlkXX0FGaOnasVRN2lBKRt2SZmiZwR5zn39WkL2wxvFunHQ2y4t/cuWGr4gGelKgdpRdwgRWka8oaFFji4VPWNE7zimzTeupVo8cm3IpFi9L8+xyTa1H75+I7qZJCjofwdv3bsJlVvhSSI6h6p3ojzyMvWdKH5m9DvyszAH1zBVavb9KQH4zS0zcS296b2m0L1RSSgL+WkOtM1ewPMWck4T36fxDvV93d8lT9YEn5/YBBgwuihuuUcJfhXALSYSWKACjQgp0BXvUAXqBGnLNVgCPE1PWoxXcMq1p2UfjSKuU/uvXWuo/9q2Rg4Xm9luQ8A3d60c7+H7QPAVGx6rST5JCNLMEj23Z2O+mI7ZBaoxu3YNdUrVkIrN48jrkFoGqopMZUUKaBETHdUJTtcrcJGhaGwo5PWYL6RPeIjBJzz6MiyJFIs+QkPfv02LHHqbFMlgDSE+12q40Cka0spvK1E//8IwPEMx0CCKFSxbWoQutDlxzSN4dKBZ6/solq6pFhPxfHOrf87bSo+8lLhj4oyXk6XNn5C5rD4EIvp1RJ96vk0XEdEpDCSOMDm4gDnhLZyXLMD4gCxg/h7KtlzNpmW4fDk6DijRe6Q4E65eepBHXoy+3H1SguNME0ZSuBlYiBuRejrdxCenReP6uXoRT48cMZwEH/keYu+HIUA1+oRz/4BsNyF4X3Sv9z32tmqZ+q411AWl4KyGjA64kgEe1rhfulZ0wwWNeeGrpReuZdDnlfKgW2bDoZZhvC4Ww1XUSJFOgMPpxscP2fgCM1Y6aYz/VdST0AX60iVxAluqdVvi9Fg3tfbVGSR0qsYlZ3KOmsj2k3/QsTd1GtobMHWGz/MWnfZhkO/75E3oWiiy/tvbtGs3ga2ro+oPkDrf3xAdBHcwXSOPs+fBMNRP8Q4YMiFrzmPxdx594N59O259gLdMB19JM3iYgjx4cVXYgxfX/IMea+j5D9TFhKWoNfduQk1Cz0fmcZGc2Lw36WN8st18BvngHG/Cm+h5DtH1VvnJpoe5Nk82PfMmbftxSFvmEXRUdh19f0JQLAHF1wghOdwjtFMO495sI4fYfyjkMO4N1gCODmf+QV3oTkjb2J+FPTu7+x/M/lreUNlfePk+rPwKufy7b7S1VwyfYCKKh1P+QJfTJTBbsqKOu8ktrn4t41k8gxyqfSNsjekraQB7ouYEE+wRFXO3+czYQbaUS9egst6gvRz0BhE1ebd6cLYeIlDtTyI6k62vM4exriM+BdqHrN++8W95heffUHmFI6+19Qp1b6i8Qumbl+UVhrz+73mF78whbfzB3E5tXPNaG210va7QxjWrVV7B/caFvYL7tf+yV9C+xp7/eo2oSuqyNl5Bafyfr1YYf8Hq9hn/c6tpE0+ubmP8D6wOGf/c/BC778tvJ7vF1W3YnfCagt3iKoXxn32NmsVuSHF+28b+zzI7/pQUaHN/MHvR2JuvsXIfrlLZO5kvoTmtJLF4Igr2FhIAJaO6p0Id+jauIqTaeFtKqpQEzF5JmE0CTzSrDNz+I8ZnAfTrvkC7S2Oe5qVV8oPMrl4RvfXWv+PgjwM+Pr1MJn3BYT0DhvVCHNbfRK4nI76cv1PzzmDxwATAj4/sX0+BOHknhxx9hlVyKHvl30m4avHiNrx7AYZ+bGWlCVcG0APgCS9XdzyosJC9NUrr4/6OsTs97gBeYRp6hSvQK+Bd4heWoKi6CwoQuoJagJr+oZHXNX0rV+FG7zp89e9a/F0JhP28ir3xaQG+myQgXePLxNauVMJg/AOYqf6Y1AWr7HyV6gUUiD+XSxUPeNWlw9iQ4mVgz7Kp4r3HusIekiG69/GrVPeyZd2r9j3wd6p7aBG+j1+hMxL7KtSm8PXPZNH9s+A+Z8F91VHzdFIfctoH5oiiO0Fk8xfcVffj7xZZPJUwOrRa0nw4U8AX7DSsX0NfP2MGpemejEd3Gv03hN5CAzd24rFdfuxOAR8jKE7RSd1AEciTLb7MV0MviqJtxn0jBtchfrCk+SWbUNd42r2l0ReLG/d1BxIlm2GX8sRQGcy/FuwBbzP6M/Cae9ieVNNpevp1h+tbi/sXIe1Hi3fmaYvbJ6S14m4EhMlnsmsGky3oAu8sPODBN+B7QfxdyALbL1hULsffR55+rdtwWnTvxvVED/hvS3CyIXgEktfJ798DgE4kLwSS1ys9QjIC9LhwyQB6BKQGXyrmEVIRkBFcwfIIGQjA145lMEA2AkwAyKZC2WQCZ2yyGFv5hnLyNqxN4JWPwdCD+78vh5/fOi5dKx8iOE5nPEcUc4QPffdDjZZNZMEn+HYf58uoOjBdc9u15IgSDnAF3mHgxlw4gUhWTFYvaTw/85I8ni+GmfraXmT++vK/NZ7vfVk1nl/5Utvx/I2XVeP5w69c1ng+/aV/bzzvMSY0wPQb084BxvdimwHmuZcUA4xvpWo8f+flC4/n77z4Xx7Ps1+kg23Gi2Q8n/3IBcfzji8qxvM/rmzfeL5nJW3i45VtxvO1K0Pj+fOjQ+x+fXQ72T1/ZRt2j3hRwe75LyjG88Ev0fE87iU6nqv8KxjtSdxfAhyp69KWmDif9xDuMC1IoXtoD+IqpifxgWSFYv76IpXekCgrYBNXRlgBI+/yglFmXTo2knqILXwNjVWuefeLpStfwqgiLd9A9ijx5FyOhm1o/JHzrXsBV8By+Yc3s8XxlVzY4+y3vUDjj+IXFKu+bI3r/jZnetJfoIs810Fqrj/mqoDemh5IVXS384ts+XMDR9/CQ99LaeLX7WFd/sY3jbSl3gD0o1Lgqiw9hjMtwNYo+fq7AqQt6WGRGCd5LSJ7u8827Ora4PDUb4/o6Qn31Ocjv8aHM3b6Bfd24dRnguaEYOz+ocAXnAH39KEWLuD+OdDce/b4/wDociEuIA71Xv/u8xAWfEHlQN7k+tRB7Btw/gUNfcEA3ZZ4jOSKQA5TQQ5bZDk4gsuuo3wjng/JgbB2dRvWfvocZe2Hz6kEQaTmDZfa889Rqf31OSoHicZR21ewF3tW4O5KRXgcJUJcAKNpDI2eHgKahHeDTwUZyXMxeEyJvgDnzyvQMx5jQigMyPsr9TVMHovD5XH3mAiyiMD/Uch/i8x/S5D/QhoJQ+gOTX/VDs1bK6hV/n0FM2W6VL8Phq1sxbBFhEf4i/T6/3I+yp7MqWfpiKVdF4sbLiQaLXkWw+CRoudmLeXPlGdVA0zW8/QFPt1J+CcYT+B63wo6etyqGnQwmjD6XR14HVh6V64lSR5+kkW6l8cGIm0kEbUdZNoWQscdOVS/hnQCw9q6pjTajZdRJzzDUkRPcQrrWe0z0JVBdPf5+nkdqbyffUbmSQb4nLXYtm/yMyoWZDxHWdCHsgBoymCbfrj++yxaS8vvFe+ibcOJzoK7Ez1sCoMUeyAxLxIbwr0DeZMAC9kz0E2bW4JTS4jccembvazolC9nBT2jALER28E1qmznjmeo7cx8huoS6UNLD/bSDSZZ8zNkihBlQLz+GTpa9X2GhP+uK/1uLvjaDoYh9hkaqb/7NIwulXBPHhNbMhh10yh1v1NR99HThLqWEaEaJ3wjEUcaqRbtDUwPP03dx+Kn5T1OtQVJT1MLqnhaYUEYFl71bKT14EIy0sHQVpaheEvJ0GeZc/8dWVXeGHwHZRNpPeK7TEV3XzxPUOCepSNVR8SyFxf9QHbX7s4uGFWW4conz8l+HYNnt8eZIMKrOxvH3zcMi+Bb6hpw0XmCt/MRfEaxDs8sQ+aAYDzD37+cbA6SGQ3B8TipczZ2bm/BO1lDyj+rLL+MlMe5zamdFs23uJlWdzhWSpb3/zx9IfTbQSYcdU0B1wmYNMTy9+XHBPe7ecHdeQdJLDu0LNWxNBnqxYnG3a59/m7keY+DQt1BiBcmnBXdH4qNLTFi3UaN2f15bt1BCNbOdObrkO2Gk/5fOUXp358lz9b5Y2C6pHF/UndYQ0adj8ir+374ib87kTzrbvgC5i/4JPg+fCh8n45868k3efMN1D7v+kZoOCl1D9ZRFAcy+Yaf8RwmvuW4IO3TAnej2PhtYoG7SWw8HG84KbjPlC3ldRpeJ+r4rnGtfFdLq26Ct49hLK+Lwy+LAeD5rXq8kZELwGvgy3INlsnCGya8UfhTLu+Q72DLrTMQXI2Pt1s0W4EhZ12P46s4cgVv51Y8hyDyq1oF77BTpAROTf8ZL576nMnnJ94xrpXXJQGmXKCoA1TQC5qvxcAG1yHsUf3jROd2iqd2FqB0vxXqvo3F4GsvRdvn1CRvd/J4m/z8dZbgHkbkbdF8CtgCru9FELlzqsU7IbaAX7WlwL1BbDwYb/H+Pgay+0BzANMWwevUEIyePtuJwnj6nAIvtUM7wdPnG7zQTSB3bqM6YdF8hmqxk27U0KAZ34J4km/AX2nwO86jPyM/zBPxDTLmJ1VvkLllifwGmcFPKs23bGkoXi20eObpLB5rRoHxJ/JaWZE3fwgkf0Je/Xcfqqdxv8tlMf7gqiavwb0FLSf4/hkLnmnxzEtlTx4awHs0tqQtFb3dU/F508Wo30Jai2DEwRz/mvE1A6LxPF9/Jdkh6nNe9Aw+Ax6r9kPRW6gROhyFend/5N+vwUBvPTQO8dB6s2EXtmTxOFKBEoBs4BteJe942c83ZJP5+z5Lh1a+/l2cfgYfyBYb/xkrNh6ILUjbCMoKlwfhci+jFYZkmCVuZe+PODjR06ef6FkwnBPeD0Y7DV/U9sBHa4UOXwnGc3f3II+bk+c7NAjgF2cRY/vGYgxYeEsAuodHZDSTvCndRONPE7zDElzPica9rqf8A8lTAKTdArTS3hpGfFckeF04wUipzNJdFjeQ2ZKjlN8E7+AsQsDr5DnYbwTjKWj8lEyARbOhQLNTNH5Kd8FFTy/oWQ9cCKjdLHqr5P40tcwlm+MYwYvvhmjA9g+raNhqcX9t2NUSpADavwowLBihahvfcKQp0Gy2YNufSEbR06cDPVr/Re3HoneO3O62iKe2Fz2OYw5pT9Z/eVOchK3Jjwd3q/F3NkLDOQ7Tc56gMS3u3z5Oh9TZT+DcrN3rE7c8Lq9PHMZj4fjTLb5/PP5vrU+M+ItqfWLeY23XJ674i/r9j3+5rPWJ9x/799YnXENCE+Z7h7Rzwiw81mbCHP+4YsIsLFetT/T6y4XXJ3o99l9en1i+nIZjS5e3Z7/hjuWK9YmvHm3f+sRw1sSQ5W3WJ3ovD61PJAwOsbvb4Haye/+jbdi9bLmC3fuXKdYnFj9G47jSx+j6BOq/6P4MPb7FO+DwQD03VfAOOQ5pUa77HERxlrTvyG84NZ6L9Q1dRhYSJD2GDvXsdMUv4IXy3SdyA92/JMdSjV+5jhIznR7c3lsa8lA/bWS/CcV+BUqj+hW70Ef+zbuYsDQuLE0IS7VhacewtHNYmhSW6sLS8M/QUvvcoTVSaXkV5xyEvzPJDZ3tqLQPrSq/o3xoZXlVeYmjqtSWNdReNbdmqE0qcZTanUMrymcOrZ4vzXZUZaVnD60pl+xDqm0lc2yz7DUE7rRVsfvlJUNdUnlFzdCa2TanvdTqtJelz66u5vIcrorSquslPf5opr6svMKu54r1A1NtVY6q+ZUOV42+ylZprwGs9rScHBlXTg5BlpMTwjYaaM/JYb8HmpOj/D3Q0fhToGP0Y3JyoBGnTXI4h4xJTdOTnwLW31qsv0F/sbrTgabrLoOmi1bB35WGKlbsuIK+gWryLgnNdE5Jf04O/RXby+zApTB14KXydEBNjt5qrXbU6FPnzS4vma0vr9EPuMuVph+jl2aX1wwZU1N+lx2Qqu9y4tDJetpmuaNKD//JL6SWEuX5d3Rnrr0EejG6wlE1azClnv3qNgNCZy+qQ+3AMZ2jhXJy2C9Ac+VVc20V5aX6CrAfp61CX+Zw6rEw4J9XLs3W4y896w0ZOdf/B3rXXlUCSbXpwCXUvQRe/e9RNJ3Td4T/XTqEWYjyZ8H1Va6KCn2VQ9ITmYSVrHHNhEtuHLopLEOdFojLabeB55zFZehH36Cv0l93HXyN1pfaJJusxf9xd0q6BlVqJOJIMYs80CNkdPEYVK8yu9NeVWJvt/8gVYmahkR36/RUhKRRweHl9MtUw/ZS4bTNs9qcTtt82WKi69FlopzO3TW/dt5cl1TjvLPaUVVZMeeO8tmzyuylJTNtxuyRI4YPy8o0ZBgys4YNHzEy22ibWVJqL5s1u/yOORWVVY7qO501kmvuvNr5d1F5l6O8y0HeRDtn2aXRGWNSrdDzavt/XuzlVSUVrlI7Ez8gw24RDRhdakdPb6+S9HhzTLu5w5Awr9XeWtWkg21lFFQYKqfrQoozWF9ddAlCUzYAg5qrDNT5v2RFSjbOdYAr/t9lHXREKgd3c5fdWuZ0VFrttdXOVMo+s/66tP8IBwcDqvbXrHJVVs8ndFzcbGXBW3NyylxVdGiDQb0d7CCt5OSU2iUbcRY2EM0su7UclLg2NFymwmcmWFdGmv5GwIkWRwwNatud4JwryivLpRrQ/pIKpD51ZhqwtNJWC65ikH5mmj5Hn9qO8uVVtDyit6XBB426v2Ou3VlW4ZinL5ltL5nT/z+ufkHeDYWhhagfdlt/KTyHiqlUN4jZcRX2Momr4K7HeMlWpZeDC/h22clYNcc+f57DWaq/vqa81H79b/oe0vdZROEpIf+bHNFf1/6aQJ1UPssF5axVDmcl4WKptaaivMQOtvJfco8h7qhjDWJXcDmzAqy2bHQ/faVtvhVtpsJWzbhpBnkT3RusVzI51wncKkpPT4fOj6Gd+/+ZsCDuLHFUz1fpPXAFlPb/pk9oaKP/Ex2jlkcjReq7x9xwOc57yCU67yH/d87bVlp6ec4bKqqct72yWpqvr7Hf6cLAHddlJhkyreMtk8fmWqzWSVZDtoxmOJHESHGy2el0OM0XKWcYYa6aW+6EWBfCw/bVyCqSbKhbpe0qbjTXltircUZ+ccRjYT6rKE4/p1+hv7P+8sMm+nv1r85Qwe9l8AMsleFT5HwYXM/yukfU8NN/pvlUBpc/JpbH5XWSt7F8b3U5XVi59aWRy8l0yuVaw8pdhEkZN6HPZKxX0r/jEXW/gp9l6vYOzFa3p7kqdtQhSPEHzavvDQTwfSSr6wOB72OgLKS4MKlrCAQGQ7oDUvyRt+r7A4FifDzig0BgJaStkLZC+tTmQCA/DuptDQTIL9h/GAg8AWkGpMvx0dVPAgE8Mbsa0t2QHoC0FdKF2wOBL/H+LmgH2n0K3w8H6Q5I9fGAf3cgUAr5ws8CgRmQL/w8EFgBqenbQGA1LpR+Fwj8jOWOQPsJkB4NBBZBOqMlENjBFkq7y+usd03hNLU6zVWdE7VLNYk6XPfEJyr21QUCg7gLlaVrpFj2Sygrr8/icV3ctUhdCLxDniTpxiUlT+A7zdMu5G7sPWpgVgr+djspMw15vCUQuAZ5MzZJl5uUnJukr4tdEhNzDC91Y5O0ALDL13geYDH83Qb8HEA2b5J0dTHWJFzrxXt4OG39R5HvbYK/3RHu4fFZ/D0kH9zDrX2kY2xS8tgk/dik1NykjLqExfHeuCWxD8bE1CelEnAyKaKlePvgdt2OQODqIN6bg23i9mPhjrZtCvBXDPfqQZ43xdB7wTbHJmXkJmXnJxXWJS5O8MYviXsw9v6Y2BtikrKBmrEKEnKD9D+Fr/j7OhB4M1ZJfy6lP34xoT721ljMh8iHeyjXL6Hue6Dn/RiNSGGfoLwLLUTiibGFYB6xstwHMzmvuC8QwDdUxKU+aQqT32SF/Dh8XUsx6hHoSR0QHJcN5dv2eXzSwitUnT6ZGanTuVCM4/KZvAvfDQSOEhr+agqXXX6SSSG+17ARlQRzk0yENnyV/2nA8yzYTJzpr6aI8lioUdE2Li4KbShzwJcPaXFjIJADdhy34K+R+7tDq8L5VUxknDtA0OidcEdqaVMgMBnkHPeesr/QsfFJ62ODwp4QEy7s9bEUB8r7iW2BwFnQu7gvL4RDFxHHaBwzoO7KjwOBqxDHWWXfCI4dgIP2qEqBgfYkFmmYAfV8OxkNKX+7ZBrwmbgVUHcF+MHvwJ/F5f8tssyqVex9ODYye6sR389IyzeBgA/T+oj4QF1U+JZHEZcJ+5gPdK74lvVx+aX3EfW7FvRxxqFAwM780oMxUGhJrDlJ742DVhfHC0kZ9ycISdl1iQVJJiehJkzFiY9eD3gWHQr5aPwEAprO6Ni7a2/m+swjeZ+GOwbacUzTbfG13MGYLo39ufUJ3b4ewO1K6LZlAHcwUftef+577fyWAdx3HU4DjV910f0rlTvWRXculXPz2sMDuId1zj+ncfd3XQQau6RXt/UDuKd6PQetb76m49v9ue3X3M5xr/Ydurw/92XfjoDscN+RcN3YL9Xfj/P3+wvQWp/Z5aNK7rlM/lAl9+KNXerLueO5Xe4r5974XZdDs7hXi7VfzuL+MY1fPYfbNG0B9OyWbhvmcGd+z++exS269WHo4BPTu300i/v79EeBvs0z6jRP3sG9P6sj1GqeFQ/XH816u4Pc/+5F/C4NN7OM47ZoOsLVLk0ygQ+HPML4bztwn2l2orLH8d925HbF88935L6NfxAgrYldVnbknutwzZcduI0dDmhknDl/junyRCL3VIwVsjHazYlcXZzujUTu9bguRxK5D+Iegro7E7TuRG5/AnD/WIL2T4ncvxI2a1j9Plfx7yVw44Z+Ec+t1AzdEs99FtvxTBz3bezxGHL/qmTeH89d331RPFc19F9x3JOxHZ+P416I3RND6/dDR1vs0bwWy32jGQnRTsxY0MAvYvotjeXOxvwtSOfF8Bi5qRw3VXemMzef93ThmmO6Nnfm7o3jd3fmlsZtAjS741+Kebkz926Hcf5O3JJOqW914t7qtCpGxq/j3gWxvxuv3RPPbYwfcPE2f/v89vnt89vnt89vn98+v31++/z2+e3z2+e/9unD1pvZuu+Oq0y/8eT/Qx9NlPS1BHX+3bD8vgT1+d+lV1K5d2H5FffSfC+WT2X7CVeFnQvuzdJsdr9P2Lnjf50PODBdHkPxxTP4Fi3Ny+eVT7P78vnkTxNp2onlk1naI6z/sfLFatq+PIfeEqdes2fouCvl+91MKvi+riYV3a0s7RDW/vkA7U8yKx9geZmOVpZ/Qvd/a0c+th8W/mlict7L0sMsPcnShGSa9mTpdSwdwdJxLL2JpWUsncvS+1m6jKXPs/QtljaxdC9LD7P0JEsTerH2WXodS0ewdBxLb2JpGUvnsvR+li5j6fMsfYulTSzdy9LDLD3J0gTmB3uy9DqWjmDpOJbexNIyls5l6f0sXcbS51n6FkubWLqXpYd7R9aT8Xl5OfrUqTNdVZJLn50+LD1jiMFFcoa7DdnpGcPSKJQrqbBVzdLPtTtr8HizISMd/g0Zpiqanqm/oK7EglfIjjFFgMdwxRHhsZwUER4XtHM1PD5o32p4QtAPqOGJEe0nFqxTtjs1vEPQftXwjkE7V8M7Bf2dGt6ZWx0R3iU4PqrhSUE/qYbz3OqIcB1nWhYJ3pVLfTQSvBuHW0pt4VcE/bEa3j3oh9XwHpwpIrxnRD8RC17StyoSPDnoZ9XwXtzq1yLBe3PrI8KvagM7zuGzLD8EIo9vbflwBYNnh8EHMDhu6Sg/2Qx+Ngw+kcFx+0X5uZ3B88PgdzJ4fRi8XqYzDP8yBl8eVv5FBjeFlX+XwReEwT9m8PfC4N+QMS+kn/0Y/GcGz7ibws+ygRGfx0T4ersa7mRw+RzAAIbnWQaXzyPI8M9kPKz81QyOb2tGeDU7DzGZDYy/Y/D1YXgaGNw0lcKPysM5g+tnUPg1LHD5nMGXVqrp7xHL8NjU+Mcy+MJ5FP4mo+cjBtczPixj5fVxqHO9uV2vz1DFSxPiaPnVLF6uowrFrWTwpdUU/h0LaKbFM3r+QOE+RufABCaXmyj8WRYQvc/gB26l8BwWv/w+kcJ15RR+FcPzHINnzGHjEYMfS6T07wyj/yyB88FzH3I8M1hL4fL5ExluZXD53IgMf4jBU8PgWxjcFAb/mcFPh+Hv34HC5fMpgxl8CoPL53qGynrC4FPC4GsYXD6/kyn7EwYPnt+R49WOFC6fDxrI4AKDJy9Tl69l8JWPqOEvM/jCMPjXDD4tDI6/VhrJv/XoROU4I2zedSWDLw2DD2Tw8HmaqROV+44wuU8m8LbjwlyGR57/yZ/7SPm240s0+p8m5btyKRHGqUjlV3Wis4fwcXADwdN2PPqwE/X24fR/yeDhdJ4geNqOU/Gd0Xu2/SRHgRs6I5W92oxf2QDvqhhPZT5PiYLnsa7gUyKMjy9EKd9M8IfiB/n5zr1Ryh8lcPAPTI5/lvkQpXz3LpHhN0aBPxIF/iLAu8b04taE9eutKOX3dcGxqQcnML4tZPBuSZHLD4kCF6LAnVHgf+2B8LZx2p+xfEwXrpDZkTxvfDkKnnVR4H35yHBjFPiTXam89Kxd+WxZQZTytihwSYb3Uvfr8SjlX+Ep/7fI5x3l8foKLN82Hj7LU/mG679WFxm/PQp8WRT4sShwrmtkeLco8JFdsUooztQxg5zUlfbXx/o7jZWvi4Ln0a7U3sPt9LNOCO/N7XtdDV8RBc+aKPC9XSmecH4ejFK+R7fI8DujwJdFgZ+IAtdcQfUwg9mFXWb/FVH0MApcigLfFQVu6B4ZPo7BC8PmWbOilG+OAtf1iAxPjQI3RYE/3IPy56l71f5hRZTym6PAD/WgeiifT5bXzWJ6hmxQpf49KZ7w88EjelI8hQyPHEfdwuCzX1X71ed6RqanicEPhM9nx+flWe3klLVVwgc0MtpADG0hEUDD2oJGtAWNbAsytgFltoW0pSqrDaQtBSO54NnpGtdMq2gtSy+pruasv2//qeq8THFCrmG4tcRsNudXT5lYbL306pnGy62en2Gee/EK6pPyl1Uns111VEf9sWuTigzWrBrJab6E7qmxtItabCIv01w4seSiRYfh4/3t6o78TAQV0YhLEZFctV3Ej2RP3ogVyK0R9IkacUIF8gzanjKxaLiVMDJz5AUel8HSUyZiMYNB8WCTWGydkF9dnGGF2xeihDxmbcgIPWYtFkkj6JP14qSiDGuIz+YimwgUITMuzMXsma7yCqm8qmbYJEeVnbQ+0WCwWtnzL9ayYZU2fApZvLhsoTEkYhgCoEdmg8Fpr3FVgBUDwDy5aKSVYo+Ch/BjJHuo1JBZY7c5S2bXOJySvRSanzAl1EGlLIaHycI8BZP84pKKGmcYbrMaaU01lgHCS80jyxzOeaDLSHVZNeFa9eSivEugd4TNOauS8GlCiE5DRujJWiIfY/BhILleFng08wTsxgU7VZRvJWmUjrHWL9qjcRfsUVAVUJgygcNrqivKJXW/gr5CTYyqvplWvChJ2e0jiTgEmaZsfAFDRXmVPUwvSKELEUYLBKtflDhj+4iT6RpWXiVZgaYpbVhVMZn6I4W5Xtyc0ISzgBRjtatmtnWmrWQOGFEW4imSLNlWa7kDH62FbLF4Kc8XtaN8+ENb7akS9gBZO6pEeErt4rVCz8BdvKxR3YWiS+RS0aVzqejSuVR0WVwqugQuFV0Sl266RC7ddOlcuunSuXRTe/tb4pRqJFcZhIhcqd1pn1VeI9mdVqkS7BLGtxrOai11WGdVOGbaKqylYIg1VpurlitxVFZX2GFQSB9pNI6MXMhaBuZGXyxiBVk453NlTlul3VrqqqycD1UUOSsapqqo1TpuSm6B2WqelG8FC7aOnzTVahYYUMifwlnzb5mUWyDmwT1V5VI1oEayOaVgPDx53Lgic7G1OHesxWzlyiR7RYXJNN4ijs2zZqZnpg8nLseRVe2SzCXsxrRp1qz0YZzVjq+rIa5kZJUDhnrHvLAC6KxGsjc6GTKVb8YRS4okgwFf62SVnDbw8WIJ+iqIvIzWAit9AxVGeZUqjOmZBoo0u9xRY8W3HGFkEtaoONlK3kpmddXYSzlorsJepe4RRiMckmWzsjcD2dlkAbTLZAJMuWNFqyE9i/QtM8NqJZ2zAqJZ0myrHbUEaPtPdbampnxWFYR0RcOsbXpbaa+ssUthArGW1jiss0G9K+zQbGlF4VyoLBmZDKxSOGHFN0H7w4MU2W2VM11lkYgyh9VE2uxOyVpmK4+kFMPLKmBUaSMA4JnBGOSZYxa0GoVlRARlTntU9pdWQITKJARqKwGq6nI7cqWken6IIkM4+420sw7Kf9rn6FLIM5jhVpZVBKWaDJpX6Si1t9U7qi+SvbY8XB5EBOqulZFXjIWXq5pXGUFpDFlOF0T7YPiETfmGcI7OLKmsDkdVXHz5/TVH6FxxQZ7sWFB+I6wEGaABz4E6EFFdpiDxoaaxUfAkMAUpGmEtnAhxRoW6JSMJhYqk4SUkvi8xA9MLrPPKS+1VxEGFdTzdYLg8swI/r3hDl7mypE2Hy/BFXGqeoh6Gc5lygmryTFuptcRWI0VQ92ElDlcEq5tkyCCE22aWzzWgG6kphyEEbIrMZqDHZQ6zSt8riTtqY+3gZZnThg5JjgimKI1AI4HpbhvdsVpnQnvM5aM3Gyb3B0i2Osqs9A06ZZUSmOddYXzKYPK6ZP5nwThXCoOdswbbII78Yp58mAgKkNeW/suSfwbI32mvrrDBdLmyMuI4UmZ3lIVzuqJ8Zom1pMZlZUHxZTQ9kr2jzxyhxVl2qSaC7MLsH3iA0/tLbtkcicGXI7wRRHigp5IVhpTo8gMvXOmYG24z1lm1tVaYotY4qmwweZtvnZsRNqReFlEjFRp1QaoIS5k/BN2K6LeGl1TAJB6dfiZx+vAHg4s90ujEwhplB6ZWzUNapthrXJVYJy8PymdcfgBQAo5TspunROpMSCUxcmSdsysX68KJJhWIvVsxzmkzbohKBOGVZ1U6qlhlK5NUqPCwebNtUlv7RIxhKhzBFSpYM1zJmiiRSHSVhjH0wtFOG6fS1ily6TXzKyXbTEjBoZJ0tnwF82+7s5pLB/z2dJD5EMk2i+VmVbnScb5eOqS8lCO52baa2Vx66fwqwEdTyUnvsON4qowV7kE4Y8OC7Kq6QsImwdukQ2QB30TM6U4HCa3T7bPZlGB2qTOUA6QlJarlbYqDxvcUh3yNeLApQEkItFWWl0B9h0S+aPu0LRgnuHSYxOAk8T9x/vQqtjcu75vI5wuzGaBPlHPM8udadjZXri+fQyxmAH2bswZh+0xh9eXzihIDpFykPj53fjIQcMj15XONyxngNvlcQdh5Z/kziZ1djgk733yaAXawigms79qwc8Y3sTPFMWHnpbdo1eejo/HvdnY2Wa4vn6d8gm1ALQijP/z90nPYWWc5L5+7TO5K8+u5EP2xEfp/F+NpTNj56n1d1eerw/mXrDhPh/XHhp3X3tJNfb47ntUJr7+E8SQh7Hz70ivV58Cjyd8dVl8+F7qaVTTFhu07hqUPh9WXz+e1sgPzr5dFrh/cxw+rL59fWHGv+lx6NPqfCrM/+TzJalZ/afcLt78yrL58XsfEDsodukj7b4XVl8+3pj6qUBzluYKw+uvD67PzRalPMvpjLtz+Lo6+yzw27PmF1Fci9zf8felfwx+vqC+fP8p+JTK94fWPMvrl+vJ5IROrvzLMYMP92SmFbSnP8/teVRtq+PvedQqHoGxfPs/rW9W+/seH1Q+ep1rNEs2F6yeF1ZfPVax+7cLtB88paShMri+fm1jP6idfhH+9WPsZ4XrF6he24zmaSO9j0L3O2mMdwHOvMyL4nw5K3ik+GRto2tLzwv67a5T6V+1n5yc1F67//wAUM2Y/AOIAAA=='
    bin = gzip.decompress(base64.b64decode(gz))
    with open(pymain, "wb") as f:
        f.write(bin)
    os.chmod(pymain, 0o775)