<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:media="http://search.yahoo.com/mrss/"><channel><title><![CDATA[Arakaki Tokyo]]></title><description><![CDATA[東京　新垣]]></description><link>https://arakaki.tokyo/</link><image><url>https://arakaki.tokyo/favicon.png</url><title>Arakaki Tokyo</title><link>https://arakaki.tokyo/</link></image><generator>Ghost 4.8</generator><lastBuildDate>Sat, 04 Apr 2026 06:26:54 GMT</lastBuildDate><atom:link href="https://arakaki.tokyo/rss/" rel="self" type="application/rss+xml"/><ttl>60</ttl><item><title><![CDATA[ABC307の振り返り(C, D, E)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc307"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Tokio Marine &amp; Nichido Fire Insurance Programming Contest 2023&#xFF08;AtCoder Beginner Contest 307) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO</py-cell>]]></description><link>https://arakaki.tokyo/abc307/</link><guid isPermaLink="false">64b2559d150c3e0001039b49</guid><category><![CDATA[競プロ]]></category><category><![CDATA[実装力]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Mon, 17 Jul 2023 11:58:59 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc307"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Tokio Marine &amp; Nichido Fire Insurance Programming Contest 2023&#xFF08;AtCoder Beginner Contest 307) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="C%20-%20Ideal%20Sheet"><a href="https://atcoder.jp/contests/abc307/tasks/abc307_c">C - Ideal Sheet</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 5
#.#..
.....
.#...
2 2
#.
.#
5 3
...
#.#
.#.
.#.
...
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 2
#.
.#
2 2
#.
.#
2 2
##
##
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1 1
#
1 2
##
1 1
#
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },{
        &quot;in&quot;: &quot;&quot;&quot;3 3
###
...
...
3 3
#..
#..
#..
3 3
..#
..#
###
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x6163;&#x308C;&#x306A;&#x3044;&#x30BF;&#x30A4;&#x30D7;&#x306E;&#x554F;&#x984C;&#x306B;&#x56F0;&#x60D1;&#x3057;&#x3066;&#x5B9F;&#x88C5;&#x306E;&#x65B9;&#x91DD;&#x3092;&#x7ACB;&#x3066;&#x308B;&#x306E;&#x306B;&#x6642;&#x9593;&#x304C;&#x304B;&#x304B;&#x308B;&#x30FB;&#x30FB;&#x30FB;<br>
&#x21E8;&#x7D50;&#x5C40;&#x4EE5;&#x4E0B;&#x306E;&#x3088;&#x3046;&#x306A;&#x3053;&#x3068;&#x3092;&#x8003;&#x3048;&#x305F;(&#x4E0B;&#x56F3;&#x3082;&#x53C2;&#x7167;)</p>
<ol>
<li>&#x30B7;&#x30FC;&#x30C8;C&#x3092;&#x60F3;&#x5B9A;&#x3057;&#x3066;&#x5927;&#x304D;&#x306A;&#x30DE;&#x30C8;&#x30EA;&#x30C3;&#x30AF;&#x30B9;&#x3092;&#x4F5C;&#x308A;&#x3001;&#x4E2D;&#x592E;&#x306B;&#x30B7;&#x30FC;&#x30C8;A&#x3092;&#x914D;&#x7F6E;&#x3059;&#x308B;</li>
<li>&#x30B7;&#x30FC;&#x30C8;B&#x3092;&#x3001;&#x30B7;&#x30FC;&#x30C8;A&#x304B;&#x3089;&#x4E0A;&#x4E0B;&#x5DE6;&#x53F3;&#x3067;&#x6700;&#x5927;8&#x30DE;&#x30B9;&#x96E2;&#x308C;&#x308B;&#x7BC4;&#x56F2;&#x3067;&#x52D5;&#x304B;&#x3059;</li>
</ol>
<p><img alt 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"></p>
<p>&#x4E00;&#x81F4;&#x5224;&#x5B9A;&#x3068;&#x3057;&#x3066;&#x9ED2;&#x30DE;&#x30B9;&#x306E;&#x76F8;&#x5BFE;&#x5EA7;&#x6A19;&#x3092;&#x8FD4;&#x3059;<code>normalize</code>&#x95A2;&#x6570;&#x3092;&#x4F5C;&#x6210;&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<py-cell>def C():
    from copy import deepcopy
    from itertools import product
 
    HA, WA = map(int, input().split())
    A = [input() for _ in range(HA)]
    HB, WB = map(int, input().split())
    B = [input() for _ in range(HB)]
    HX, WX = map(int, input().split())
    X = [input() for _ in range(HX)]
 
    def normalize(m):
        ret = []
        left_top = None
        for i in range(len(m)):
            for j in range(len(m[0])):
                if m[i][j] == &quot;#&quot;:
                    if left_top:
                        ret.append(tuple(a - b for a, b in zip([i, j], left_top)))
                    else:
                        left_top = (i, j)
                        ret.append((0, 0))
        return ret
 
    x_pat = normalize(X)
    m_base = [list(&quot;.&quot; * (WB * 2 + WA + 16)) for _ in range(HB * 2 + HA + 16)]
    for i, j in product(range(HA), range(WA)):
        if A[i][j] == &quot;#&quot;:
            m_base[HB + 8 + i][WB + 8 + j] = &quot;#&quot;
    
    for i in range(HB + HA + 16):
        for j in range(WB + WA + 16):
            m = deepcopy(m_base)
            for k in range(HB):
                for l in range(WB):
                    if B[k][l] == &quot;#&quot;:
                        m[i + k][j + l] = &quot;#&quot;
            if x_pat == normalize(m):
                print(&quot;Yes&quot;)
                return
 
    print(&quot;No&quot;)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc307/submissions/42922279">#42922279</a></p>
<p>WA x 1 ...&#x1F629;<br>
&#x7D50;&#x5C40;&#x30C7;&#x30D0;&#x30C3;&#x30B0;&#x3067;&#x304D;&#x305A;&#x306B;&#x7121;&#x5FF5;&#x306E;&#x8A66;&#x5408;&#x7D42;&#x4E86;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>WA x 1&#x306E;&#x539F;&#x56E0;&#x3067;&#x3059;&#x304C;&#x3001;&#x7D50;&#x8AD6;&#x304B;&#x3089;&#x8A00;&#x3048;&#x3070;</p>
<ul>
<li>&#x300C;&#x30B7;&#x30FC;&#x30C8;B&#x3092;&#x3001;&#x30B7;&#x30FC;&#x30C8;A&#x304B;&#x3089;&#x4E0A;&#x4E0B;&#x5DE6;&#x53F3;&#x3067;&#x6700;&#x5927;8&#x30DE;&#x30B9;&#x96E2;&#x308C;&#x308B;&#x7BC4;&#x56F2;&#x3067;&#x52D5;&#x304B;&#x3059;&#x300D;&#x3068;&#x3059;&#x3079;&#x304D;&#x3068;&#x3053;&#x308D;&#x3092;&#x3001;</li>
<li>&#x53F3;&#x3068;&#x4E0B;&#x306B;&#x6700;&#x5927;<strong>7&#x30DE;&#x30B9;</strong>&#x307E;&#x3067;&#x3057;&#x304B;&#x52D5;&#x304B;&#x3057;&#x3066;&#x306A;&#x304B;&#x3063;&#x305F;</li>
</ul>
<p>&#x304B;&#x3089;&#x3067;&#x3057;&#x305F;&#x1F607;<br>
&#x306A;&#x3093;&#x3068;&#x3044;&#x3046;&#x30DC;&#x30FC;&#x30F3;&#x30D8;&#x30C3;&#x30C9;&#x1F480;</p>
<p>&#x4FEE;&#x6B63;&#x3057;&#x305F;&#x8A72;&#x5F53;&#x7B87;&#x6240;&#x306F;31&#x884C;&#x76EE;&#x304B;&#x3089;&#x306E;&#x30EB;&#x30FC;&#x30D7;&#x90E8;&#x5206;&#x306E;<code>17</code>&#x3067;&#x3059;&#x3002;</p>
<pre><code lang="python">...
    for i in range(HB + HA + 17):
        for j in range(WB + WA + 17):
            ...
</code></pre>
<py-cell>def C():
    from copy import deepcopy
    from itertools import product

    HA, WA = map(int, input().split())
    A = [input() for _ in range(HA)]
    HB, WB = map(int, input().split())
    B = [input() for _ in range(HB)]
    HX, WX = map(int, input().split())
    X = [input() for _ in range(HX)]

    def normalize(m):
        ret = []
        left_top = None
        for i in range(len(m)):
            for j in range(len(m[0])):
                if m[i][j] == &quot;#&quot;:
                    if left_top:
                        ret.append(tuple(a - b for a, b in zip([i, j], left_top)))
                    else:
                        left_top = (i, j)
                        ret.append((0, 0))
        return ret

    x_pat = normalize(X)
    m_base = [list(&quot;.&quot; * (WB * 2 + WA + 16)) for _ in range(HB * 2 + HA + 16)]
    for i, j in product(range(HA), range(WA)):
        if A[i][j] == &quot;#&quot;:
            m_base[HB + 8 + i][WB + 8 + j] = &quot;#&quot;
    
    for i in range(HB + HA + 17):
        for j in range(WB + WA + 17):
            m = deepcopy(m_base)
            for k in range(HB):
                for l in range(WB):
                    if B[k][l] == &quot;#&quot;:
                        m[i + k][j + l] = &quot;#&quot;
            if x_pat == normalize(m):
                print(&quot;Yes&quot;)
                return

    print(&quot;No&quot;)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc307/submissions/43336415">#43336415</a>&#x3000;&#x21E8;&#x3000;&#x7121;&#x4E8B;AC&#x3002;&#x306F;&#x3041;</p>
<p>&#x6559;&#x8A13;</p>
<ul>
<li><strong>&#x4E0B;&#x624B;&#x306A;&#x65B9;&#x91DD;&#x3092;&#x7ACB;&#x3066;&#x308B;&#x3068;&#x5B9F;&#x88C5;&#x304C;&#x8A33;&#x5206;&#x304B;&#x3089;&#x3093;&#x304F;&#x306A;&#x3063;&#x3066;&#x30D0;&#x30B0;&#x308A;&#x3084;&#x3059;&#x304F;&#x306A;&#x308B;</strong><ul>
<li><code>16</code>&#x3068;&#x304B;<code>17</code>&#x3068;&#x304B;&#x306E;&#x56FA;&#x5B9A;&#x5024;&#x306A;&#x3093;&#x3084;&#x306D;&#x3093;&#x3002;&#x3002;</li>
</ul>
</li>
<li><strong>&#x3084;&#x3080;&#x3092;&#x5F97;&#x305A;&#x4E0A;&#x8A18;&#x3067;&#x5B9F;&#x88C5;&#x3059;&#x308B;&#x5834;&#x5408;&#x306B;&#x306F;&#x3001;&#x3057;&#x3063;&#x304B;&#x308A;&#x30B3;&#x30FC;&#x30CA;&#x30FC;&#x30B1;&#x30FC;&#x30B9;&#x307E;&#x3067;&#x691C;&#x8A3C;&#x3059;&#x308B;</strong><ul>
<li>&#x3053;&#x308C;&#x306F;&#x3069;&#x3093;&#x306A;&#x554F;&#x984C;&#x3067;&#x3082;&#x57FA;&#x672C;&#x7684;&#x306B;&#x3084;&#x308B;&#x3079;&#x304D;&#x3060;&#x3068;&#x601D;&#x3044;&#x307E;&#x3059;&#x304C;&#x3001;&#x4ECA;&#x56DE;&#x306E;&#x3088;&#x3046;&#x306A;&#x5834;&#x5408;&#x3053;&#x305D;&#x7279;&#x306B;&#x3001;&#x3068;&#x3044;&#x3046;&#x610F;&#x5473;&#x3067;</li>
</ul>
</li>
</ul>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x554F;&#x984C;&#x3069;&#x3046;&#x3084;&#x3063;&#x3066;&#x89E3;&#x304F;&#x306E;&#x3093;&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;  </p>
<ul>
<li>&#x8003;&#x3048;&#x65B9;&#x306E;&#x65B9;&#x5411;&#x6027;&#x306F;<a href="https://atcoder.jp/contests/abc307/editorial/6690">&#x56F3;</a>  by  <a href="https://atcoder.jp/users/kyopro_friends">kyopro_friends</a>&#x3068;&#x5927;&#x5DEE;&#x306A;&#x3044;&#x306A;&#x2026;</li>
<li>&#x5224;&#x5B9A;&#x306B;<code>normalize</code>&#x3092;&#x7528;&#x3044;&#x308B;&#x767A;&#x60F3;&#x306F;<a href="https://atcoder.jp/contests/abc307/editorial/6650">&#x5225;&#x89E3;</a>  by  <a href="https://atcoder.jp/users/evima">evima</a>&#x3068;&#x4E00;&#x7DD2;&#x3060;&#x3051;&#x3069;&#x3001;&#x305D;&#x306E;&#x524D;&#x306B;<code>convert</code>&#x3057;&#x3066;&#x63A2;&#x7D22;&#x3092;&#x5BB9;&#x6613;&#x306B;&#x3057;&#x305F;&#x308A;&#x3001;&#x5168;&#x4F53;&#x306E;&#x5B9F;&#x88C5;&#x304C;&#x6BB5;&#x9055;&#x3044;&#x306B;&#x6D17;&#x7DF4;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;&#x2026;</li>
</ul>
<p>&#x7D50;&#x5C40;&#x79C1;&#x306E;&#x5B9F;&#x88C5;&#x529B;&#x4E0D;&#x8DB3;&#x3067;&#x3057;&#x305F;&#x3002;&#x672C;&#x5F53;&#x306B;&#x3042;&#x308A;&#x304C;&#x3068;&#x3046;&#x3054;&#x3056;&#x3044;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<p>&#x53C2;&#x8003;&#x3068;&#x3044;&#x3046;&#x304B;&#x76EE;&#x6A19;&#x3068;&#x3057;&#x3066;evima&#x3055;&#x3093;&#x306E;&#x5225;&#x89E3;&#x3092;&#x4EE5;&#x4E0B;&#x306B;&#x5F15;&#x7528;&#x3057;&#x307E;&#x3059;&#x3002;&#x30AD;&#x30EC;&#x30A4;&#x3060;&#x3088;&#x306A;&#x3041;&#xFF5E;</p>
<py-cell>def C_editorial():
    &apos;&apos;&apos; editorial by evima
    https://atcoder.jp/contests/abc307/editorial/6650
    &apos;&apos;&apos;
    def convert(H, W, S):
        s = set()
        for i in range(H):
            for j in range(W):
                if S[i][j] == &apos;#&apos;:
                    s.add((i, j))
        return s
    def normalize(s):
        my = min(y for (y, x) in s)
        mx = min(x for (y, x) in s)
        return set((y - my, x - mx) for (y, x) in s)
    HA, WA = map(int, input().split())
    A = normalize(convert(HA, WA, [input() for _ in range(HA)]))
    HB, WB = map(int, input().split())
    B = normalize(convert(HB, WB, [input() for _ in range(HB)]))
    HX, WX = map(int, input().split())
    X = normalize(convert(HX, WX, [input() for _ in range(HX)]))
    ans = False
    for dy in range(-HX, HX):
        for dx in range(-WX, WX):
            ans |= normalize(A.union((y + dy, x + dx) for (y, x) in B)) == X
    print(&apos;Yes&apos; if ans else &apos;No&apos;)</py-cell>
<py-cell>test_all(C_editorial)</py-cell>
<h2 id="D%20-%20Mismatched%20Parentheses"><a href="https://atcoder.jp/contests/abc307/tasks/abc307_d">D - Mismatched Parentheses</a></h2>
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<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;8
a(b(d))c
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;ac
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;5
a(b)(
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;a(
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2
()
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;6
)))(((
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;)))(((
&quot;&quot;&quot;
    },{# &#x8FFD;&#x52A0;
        &quot;in&quot;:&quot;&quot;&quot;7
a(b)())
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;a)
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;C&#x554F;&#x984C;&#x3067;&#x5FC3;&#x6298;&#x308C;&#x3066;&#x30DC;&#x30ED;&#x30DC;&#x30ED;&#x3067;&#x3057;&#x305F;&#x3002;&#x3002;<br>
&#x632F;&#x308A;&#x8FD4;&#x308B;&#x3068;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;  </p>
<ul>
<li>S&#x3092;&#x8D70;&#x67FB;&#x3057;&#x3066;&#x5BFE;&#x5FDC;&#x3059;&#x308B;<code>(</code>&#x3068;<code>)</code>&#x3092;&#x8ABF;&#x3079;&#x308B;</li>
<li>S&#x3092;&#x8D70;&#x67FB;&#x3057;&#x3066;&#x5BFE;&#x5FDC;&#x3059;&#x308B;<code>(</code>&#x3068;<code>)</code>&#x306B;&#x631F;&#x307E;&#x308C;&#x308B;&#x7BC4;&#x56F2;&#x3092;&#x9664;&#x3044;&#x3066;&#x51FA;&#x529B;&#x3059;&#x308B;</li>
</ul>
<p>&#x3068;&#x3044;&#x3046;&#x5358;&#x7D14;&#x306A;&#x5B9F;&#x88C5;&#x3067;&#x3059;&#x3002;</p>
<py-cell>def D():
    N = int(input())
    S = input()
    
    A = [0] * N
    start = []
    for i, c in enumerate(S):
        if c == &quot;(&quot;:
            start.append(i)
        elif c == &quot;)&quot; and start:
            A[start.pop()] = 1
            A[i] = -1

    flag = 0
    ans = []
    for c, a in zip(S, A):
        flag += a
        if flag == 0 and a != -1:
            ans.append(c)
    print(*ans, sep=&quot;&quot;)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc307/submissions/43426522">#43426522</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Distinct%20Adjacent"><a href="https://atcoder.jp/contests/abc307/tasks/abc307_e">E - Distinct Adjacent</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;6
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;4 2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;2
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;987654 456789
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;778634319
&quot;&quot;&quot;
    },
]</py-cell>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>def E():
    out = &quot;&quot;
    return out

test_all(E)</py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E7%90%86%E8%A7%A3%E3%81%99%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x7406;&#x89E3;&#x3059;&#x308B;</h3>
<p>&#x306F;&#x3044;&#x3001;&#x65E9;&#x901F;<a href="https://atcoder.jp/contests/abc307/editorial/6643">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;<br>
&#x4EE5;&#x4E0B;&#x3001;&#x81EA;&#x5206;&#x306A;&#x308A;&#x306E;&#x7406;&#x89E3;&#x3002;</p>
<p>&#x8A2D;&#x554F;&#x3067;&#x306F;&#x5186;&#x74B0;&#x3067;&#x3059;&#x304C;&#x3001;&#x4E00;&#x65E6;N&#x4EBA;&#x306E;&#x4EBA;&#x304C;&#x4E00;&#x5217;&#x306B;&#x4E26;&#x3093;&#x3067;&#x3044;&#x308B;&#x5834;&#x5408;&#x3092;&#x8003;&#x3048;&#x307E;&#x3059;&#x3002;<br>
&#x305D;&#x306E;&#x5834;&#x5408;&#x306E;&#x56DE;&#x7B54;&#x306F;&#x3001;$M \times (M - 1) \times (M - 1)... = M(M - 1)^{N - 1}$&#x3068;&#x306A;&#x308A;&#x307E;&#x3059;&#xFF08;&#x591A;&#x5206;&#xFF09;&#x3002;</p>
<p>&#x305D;&#x3053;&#x304B;&#x3089;&#x5186;&#x74B0;&#x306E;&#x56DE;&#x7B54;&#x3092;&#x5C0E;&#x304F;&#x305F;&#x3081;&#x306B;&#x306F;&#x3001;N&#x4EBA;&#x76EE;&#x304C;&#x4E00;&#x4EBA;&#x76EE;&#x3068;&#x540C;&#x3058;&#x756A;&#x53F7;&#x3067;&#x3042;&#x308B;&#x5834;&#x5408;&#x3092;&#x9664;&#x3051;&#x3070;&#x3088;&#x3044;&#x3067;&#x3059;&#x3002;<br>
&#x56F0;&#x308A;&#x307E;&#x3057;&#x305F;&#x3002;&#x305D;&#x3093;&#x306A;&#x6761;&#x4EF6;&#x3069;&#x3046;&#x3084;&#x3063;&#x3066;&#x5B9F;&#x88C5;&#x3059;&#x3093;&#x3060;&#x3002;&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3053;&#x3053;&#x304B;&#x3089;&#x89E3;&#x8AAC;&#x306E;&#x672C;&#x984C;&#x3067;&#x3059;&#x3002;</p>
<p>N&#x4EBA;&#x76EE;&#x307E;&#x3067;&#x306E;&#x5834;&#x5408;&#x306E;&#x6570;&#x3092;&#x6570;&#x3048;&#x305F;&#x5F8C;&#x306B;&#x3001;&#x305D;&#x306E;&#x4E2D;&#x304B;&#x3089;&#x4E00;&#x4EBA;&#x76EE;&#x3068;&#x540C;&#x3058;&#x756A;&#x53F7;&#x304B;&#x3069;&#x3046;&#x304B;&#x3092;&#x5224;&#x65AD;&#x3059;&#x308B;&#x3053;&#x3068;&#x306F;&#x3067;&#x304D;&#x307E;&#x305B;&#x3093;&#x3002;<br>
&#x3067;&#x3042;&#x308C;&#x3070;&#x3001;N&#x4EBA;&#x76EE;&#x307E;&#x3067;&#x306E;&#x5834;&#x5408;&#x306E;&#x6570;&#x3092;&#x6570;&#x3048;&#x308B;&#x30D7;&#x30ED;&#x30BB;&#x30B9;&#x306E;&#x4E2D;&#x3067;&#x3001;<strong>i&#x4EBA;&#x76EE;&#x306E;&#x756A;&#x53F7;&#x304C;&#x4E00;&#x4EBA;&#x76EE;&#x3068;&#x540C;&#x3058;&#x756A;&#x53F7;&#x304B;&#x3069;&#x3046;&#x304B;</strong>&#x3092;&#x4FDD;&#x6301;&#x3057;&#x3066;&#x3044;&#x3051;&#x3070;&#x3088;&#x3044;&#x3067;&#x3059;&#x3002;</p>
<p>&#x5177;&#x4F53;&#x7684;&#x306B;&#x306F;&#x3002;<br>
i&#x4EBA;&#x76EE;&#x307E;&#x3067;&#x306E;&#x5834;&#x5408;&#x306E;&#x6570;&#x3092;&#x6570;&#x3048;&#x305F;&#x6642;&#x70B9;&#x3067;&#x3001;i&#x4EBA;&#x76EE;&#x306E;&#x756A;&#x53F7;&#x304C;&#x4E00;&#x4EBA;&#x76EE;&#x3068;&#x7570;&#x306A;&#x308B;&#x756A;&#x53F7;&#x306E;&#x5834;&#x5408;&#x3092;$i_0$&#x3001;&#x540C;&#x3058;&#x5834;&#x5408;&#x3092;$i_1$&#x3068;&#x3059;&#x308B;&#x3068;&#x3001;i+1&#x4EBA;&#x76EE;&#x306F;<br>
$(i + 1)_0 = i_0 \times (M - 2) + i_1 \times (M - 1)$<br>
$(i + 1)_1 = i_0$<br>
&#x3068;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;<br>
&#x3088;&#x304F;&#x898B;&#x308B;&#x3068;&#x3001;&#x7D50;&#x5C40;i+1&#x4EBA;&#x76EE;&#x6642;&#x70B9;&#x3067;&#x306E;&#x5834;&#x5408;&#x306E;&#x6570;&#x306F;$(i_0 + i_1)\times (M - 1)$&#x3068;&#x306A;&#x308A;&#x3001;&#x7DCF;&#x6570;&#x3068;&#x3057;&#x3066;&#x306F;&#x4E00;&#x5217;&#x306B;&#x4E26;&#x3093;&#x3067;&#x3044;&#x308B;&#x5834;&#x5408;&#x3067;&#x8003;&#x3048;&#x305F;&#x3068;&#x304D;&#x3068;&#x540C;&#x3058;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;<br>
&#x3053;&#x306E;&#x3088;&#x3046;&#x306B;&#x3001;&#x300C;&#x4E00;&#x4EBA;&#x76EE;&#x3068;&#x540C;&#x3058;&#x756A;&#x53F7;&#x304B;&#x3069;&#x3046;&#x304B;&#x300D;&#x306E;&#x60C5;&#x5831;&#x3092;&#x5F15;&#x304D;&#x56DE;&#x3057;&#x306A;&#x304C;&#x3089;N&#x4EBA;&#x76EE;&#x307E;&#x3067;&#x898B;&#x305F;&#x3068;&#x304D;&#x306B;$N_0$&#x304C;&#x672C;&#x554F;&#x306E;&#x56DE;&#x7B54;&#x3068;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;</p>
<p>&#x8003;&#x3048;&#x305F;&#x4EBA;&#x982D;&#x3044;&#x3044;&#x30FC;&#x1F607;</p>
<p><a href="https://ja.wikipedia.org/wiki/%E5%8C%85%E9%99%A4%E5%8E%9F%E7%90%86">&#x5305;&#x9664;&#x539F;&#x7406;</a>&#x306B;&#x3064;&#x3044;&#x3066;&#x306F;&#x3001;&#x4F59;&#x529B;&#x304C;&#x3042;&#x308B;&#x3068;&#x304D;&#x306E;&#x5BBF;&#x984C;&#x3068;&#x3057;&#x307E;&#x3059;&#x30FB;&#x30FB;&#x30FB;</p>
<py-cell>def E():
    N, M = map(int, input().split())
    MOD = 998244353
    
    dp = [0, M]
    for i in range(N - 1):
        dp = [
            (dp[0] * (M - 2) + dp[1] * (M - 1)) % MOD, 
            dp[0]
        ]
    
    print(dp[0])</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc307/submissions/43663626">#43663626</a></p>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC306の振り返り(B, C, D, E)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc306"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Toyota Programming Contest 2023#3&#xFF08;AtCoder Beginner Contest 306&#xFF09; - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.</py-cell>]]></description><link>https://arakaki.tokyo/abc306/</link><guid isPermaLink="false">64b5283781a593000176a9ca</guid><category><![CDATA[競プロ]]></category><category><![CDATA[DP]]></category><category><![CDATA[multiset]]></category><category><![CDATA[heap]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Mon, 17 Jul 2023 11:58:44 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc306"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Toyota Programming Contest 2023#3&#xFF08;AtCoder Beginner Contest 306&#xFF09; - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data, detail=True):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp if detail else &apos;&apos;}, output: {ans if detail else &apos;&apos;}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="B%20-%20Base%202"><a href="https://atcoder.jp/contests/abc306/tasks/abc306_b">B - Base 2</a></h2>
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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>B</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataB = [
    {
        &quot;in&quot;:&quot;&quot;&quot;1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;13
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1 0 1 0 1 0 0 0 0 1 0 0 1 1 0 1 1 1 1 0 0 0 1 0 0 1 1 1 1 1 1 0 0 0 0 1 0 1 0 1 0 1 1 1 1 0 0 1 1 0 0 0 0 1 0 1 0 1 0 1 0 0 0 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;766067858140017173
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def B():
    pass

test_all(B)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>2&#x9032;&#x6570;&#x304B;&#x3089;10&#x9032;&#x6570;&#x5909;&#x63DB;&#x3002;<br>
&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x7D20;&#x6734;&#x306B;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;</p>
<py-cell>def B():
    (*A,) = map(int, input().split())

    ans = 0

    base2 = 1
    for a in A:
        ans += a * base2
        base2 *= 2

    print(ans)</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc306/submissions/42323982">#42323982</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p><code>int()</code>&#x3067;&#x4E00;&#x767A;&#x3067;&#x3057;&#x305F;&#x306D;&#x3002;&#x3002;</p>
<py-cell>def B():
    print(int(input().replace(&quot; &quot;, &quot;&quot;)[::-1], base=2))</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc306/submissions/43665287">#43665287</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E4%BB%96%E3%81%AE%E4%BA%BA%E3%81%AE%E6%8F%90%E5%87%BA%E3%82%92%E8%A6%8B%E3%82%8B">&#x4ED6;&#x306E;&#x4EBA;&#x306E;&#x63D0;&#x51FA;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x308F;&#x3056;&#x308F;&#x3056;&#x30B9;&#x30DA;&#x30FC;&#x30B9;&#x3092;<code>replace</code>&#x3059;&#x308B;&#x5FC5;&#x8981;&#x3082;&#x306A;&#x3044;&#x306E;&#x304B;&#x2026;&#xFF01;</p>
<py-cell>def B():
    print(int(input()[::-2], base=2))</py-cell>
<py-cell>test_all(B)</py-cell>
<h2 id="C%20-%20Centers"><a href="https://atcoder.jp/contests/abc306/tasks/abc306_c">C - Centers</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3
1 1 3 2 3 2 2 3 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 3 2
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1
1 1 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;4
2 3 4 3 4 1 3 1 1 4 2 2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3 4 1 2
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
<code>num_idx</code>&#x306B;&#x30A4;&#x30F3;&#x30C7;&#x30C3;&#x30AF;&#x30B9;&#x3092;append&#x3059;&#x308B;&#x306E;&#x306F;&#x8D70;&#x67FB;&#x9806;&#x306A;&#x306E;&#x3067;&#x3001;&#x6700;&#x7D42;&#x7684;&#x306B;1~N&#x306E;&#x30A4;&#x30F3;&#x30C7;&#x30C3;&#x30AF;&#x30B9;&#x914D;&#x5217;&#x306E;2&#x3064;&#x76EE;&#x306E;&#x8981;&#x7D20;&#x304C;&#x771F;&#x3093;&#x4E2D;&#x306E;&#x30A4;&#x30F3;&#x30C7;&#x30C3;&#x30AF;&#x30B9;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<py-cell>def C():
    from collections import defaultdict

    N = int(input())
    (*A,) = map(int, input().split())

    num_idx = defaultdict(list)

    for i, a in enumerate(A):
        num_idx[a].append(i)

    _, ans = zip(*sorted([[idx[1], n] for n, idx in num_idx.items()]))
    print(*ans)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc306/submissions/42335811">#42335811</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Poisonous%20Full-Course"><a href="https://atcoder.jp/contests/abc306/tasks/abc306_d">D - Poisonous Full-Course</a></h2>
<p><img alt 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<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;5
1 100
1 300
0 -200
1 500
1 300
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;600
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;4
0 -1
1 -2
0 -3
1 -4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;0
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;15
1 900000000
0 600000000
1 -300000000
0 -700000000
1 200000000
1 300000000
0 -600000000
1 -900000000
1 600000000
1 -100000000
1 -400000000
0 900000000
0 200000000
1 -500000000
1 900000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;4100000000
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_3">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
&#x5358;&#x7D14;&#x306A;DP&#x3067;&#x3059;&#x3002;</p>
<py-cell>def D():
    N = int(input())
    XY = [list(map(int, input().split())) for _ in range(N)]
    
    # dp[j]: &#x72B6;&#x614B;&#x5225;(j=0: &#x5065;&#x5EB7;&#x3001;j=1: &#x8179;&#x58CA;&#x3057;)&#x6700;&#x5927;&#x5024;
    dp = [0, 0]
    
    for x, y in XY:
        if x == 0:
            dp[0] = max(dp[0], dp[0] + y, dp[1] + y)
        else:
            dp[1] = max(dp[1], dp[0] + y)
    
    print(max(dp))</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc306/submissions/42347396">#42347396</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Best%20Performances"><a href="https://atcoder.jp/contests/abc306/tasks/abc306_e">E - Best Performances</a></h2>
<p><img alt 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YepQNGF44racSUsr+ZtV8YZV8q5u/vhEe10TPWYZEmYLGn4+7Oa1z2gzhIF95Ia+3LYfiOvvFNpluN5N9y3L2+6JEEO9yxB/OYz7XSHSL/1BhtVKmlrhG519xOt9zeHtEPZutAnmmubdb/ShJzTk600yEUO0578oE579i2Zh3e1C69u007cMoYvGDnnz7Q2NDAk/srlMG6omh4+rV3wyLBP/tltu5Qc+5jOI+9lOmzb6hFtzKX0J+cnB/htJzlyL0G0pl98dhwT7OkT39tK0Oz9+j4njwE+nfu+55yuC5F31t967ccZy5iar6xtcMwjI0/zWL8psnTdsVxyPfvd6GTbNnKgtmljOc56pMc4Hur5nM+0ieg7I/cHZa9uwODy3tTVst4+KNX2z2C7Is9ZEtFRYKXzporl61C1Cih+ZiUcjydMKXoygL4rqmTyWidqbzVntLWSbZHaVuxVbZGiONGaft6hXkKoru6N8ZpRcbE1sy2XbMxua+sYRINsDK76vMTP9eLf/7oKxdYbbJYGoLdqi3uUnhWWofb1drRn6/aUubfL/EEhCq+6lwjMKD2mOwNoqnkZoevuLQdzmXZRZQvObA8ief0EwsXNlmdaTmGgZRdefiezXWLyeggv13Qg8rUaYBE704hdLQMZbazM6WU+O857PlLu+RNDQgwtEGugfEOFfkPV2fEkAq4bxBTiEyUofkz1Wl07Ydk2FdkGLafSoD7UmjclqCFy+44cF+n1bHeXJrd9bFxn+23nnDxjMIjdGyNoPReFfpPIS16lZ3KfM0s/FbnslhtW9JvMLLURsr1ctWo7Z3bWG2/Sgqio6fNpOyjItqXmTTqqLbPtxhnJckwxah9q0aduyunaKlOZpQRxRuu3AGWbqhG7djO1jY6PRlC+7Wf6duhKbqPH3W94cbW0Cl0q/1oQQZ9beu4MIaZqg0JinNlvF0T0sMkaIEba0wfAyom9qlFzeWZVq15FW+lzV2GmxJUO7Nq5BQfP9OPgzkYM2BryGzerrCvxPCzqQWsIqpH8PiBkPVmqB+vqdylaA7vRFkAtU+/yQePuxXP1arwqVDVZ73pWJwY5bdtd2/6Soz1iuSqx7fUITrf3GFWQ5vCaNoTF55G367BLfJ97buVI3jX7VAzWeGZO0jM9jamJMZz4+KYaYMhr2o8UofgHUfR/WoaOV6wP8Z7GtDhxjp0chX3qwvRd3Jy4jWRGRJdEYlKcbG9N4q4aknJ/EvEb4rsp5zfu88k7f6Zuo0BdZRSu3YRN1zvQ8aURSGa4/5k42Zdh5ROqP8Wo3muWAZS661Qf+lHEfhe9aek6VNwybwip1O9KHrVu7/pds7X2gMuNPl6pfue/PbgS+4a8ISTHu/TlfmHehGKkyahilop+UgHI5hp+1cXqossWlOVdVepN3qUN2w0yDiJIahGBrH6jz+YIKs5b9291l6/lmBKsU0Fp6lhShHUbxbHQvAFFv4Gt2nIMynP9WhSsPoCu1cNoUm9S6S0QF4R/7ZcrYt0dC+jNZvxfXmCnH/dsF74WYnsLXKxU20pmsx0i+h5QJYl2skojVQXhVhliVj9kVmfJKhnzt/YuS5XPnElXAzmr9dJVVkZaUml1VKHI8fTfulThpVmrm7wrjL4NN0NbjGdKzphXNdiYduJfsj+A29td7dK/XDCqcL+5qX0yYq8kH/uXE9pspp6rWc9nZEgbSmXvtPZJx7Pa/n/1aAgx3qtt6/hEjGXnrNJ0bps5sVQV+v/OUl2YZfpeVa3ZGdvMWblPpbYdY77W6aWfy5g+dqSX3XI8sRyDsnXu1feSdbllly1v0+P75oHKd9s4Ypn06nU1fE7Wb97SxyS986waVuN5HtuIiDTtz+QfFSvSd4UssfjdIrS/scm9GtrP1zGMfBzGW0cnsenXO7DuJ0EUm0V9N+QTIatR/ZTqz1PichsqD4ZV1VkBat+5igOr9B7g/jj6TgPVO0vUgHkyy/lMXe1DTyiC6U0NeHVbUM/f5Med6FvcgFpzWSzGj9VieH0ItT9WA4iIiB4CDBC/o+Ln2jAQeFUELX4PRMxHDAPvJlCxM8v7nWcodr4PiZ9WI7hYDZgnD2o+ungYbWcCeLVufvKMiIhovjBA/M5KInq8H9j2gIIhskuOo+/tGCpe2WS/6YWIiOghwACRiIiIiGxyf8wNEREREX0vMEAkIiIiIhsGiERERERkwwCRaKG5n8D4jbjr2168JRG7Np7nb4iIiNzNS4Ao37KQzxP9ycO1TsebILxehyaG62/AmEK4zvg+2l2vv3pLvi0h67pIDKOzZhe2byxF6fpK7BKfe0ZVqDEVQZMcXroB22teRv+fjMHfT7PMZ4vkjT40tXSg6VchRG1RXRLR33fi5mPFWR6NI9NgzNtQgMDSmzj8tvtrBOkBkM8fzeFNNHJbydyvreuSiOjb5xsgGu8fTXf5vEZvXmQETH7kCdSe/tK5PgjL15apV2jNJXkC0dO7rw/DrcbrrvT5XItAPqo6/f5Xc3mCqFgRwVBq2aKI3KrAuqXA7Yn0u6c9FZaj4Xg39sr3ab3YjpPHT+JAqQpPCgrxo42NOHn5Mt47/pbl/cmZzGDJT2rZ/Lp5yFNX6nWM6Xkb6c9IY+qkP8t8NsmHdb82jLLS/4TI6GeYvKeGC8lrPeh9vBpVWaaVvNqLw1eHEYurAVJxFaof70XPtRxCRMvr37yZAbFxLHDue/ZARwY5ljzz6+Zs/cp5Znl/tHq1oLX7ti9e9VcRmu+BluT7mWsc72w25Rh0unNeROQiffFDRN9vOT/mRp4MWtHi8XJ8O3kyiawf1d9z7EZOq7LV9lp7d/LF+Jb3hJrvf/XkGD+TPKHUok++P9X6HlsL6zzKWwb9l1eefK5UqHnKA2ulev9sOZrPdzle0i8O9M6X+ae4jC/JgPjz3UYa1O9hpsnynVd+Vh+T76NNvyNXqj7msV6Sw+hYW4+7b1xG+0b1/pUvIuj5t0Ls/nkZCl2f5afyU/W5cc5PpvXEk12pYRnbVUaenkCg2+092HLeEVRY3pGd83Zlrn+Zp6cC6ErNqxVo6sK6j6xpFPOpi2G3GB9zkc/SRD921Uzi1SsHELwv+lN5G0f/nh4s6W5Hhd8rcJIiTTv3o38iiR3O+Xw9gMZf3kXDOzvgjDGz5k/GfpFe9iI9v3sRsGynGevOIdtxwCpz3/bYJ2wyt4FcmPNyW0fZlilNztt/209Rx6Wsxy+dY7lt26i/XLd/87iWW3oEn+MlEX2HyQAxF77vaLW9E9a7835nquD73mPJ/v7WByH9/lR72q3D9fedquVPjSOXxfM9qGnGdFyWySU/jWmbeSDfpZr5TteMd0vL6bh9djPeq21Zs1M7HTN670ZPaEc/8Hi/sAu5LL7rV3GOJ/tt25Ut79yXM0WM67lNmvS89JhGRj4b68K2fmXn2C5nlc/C3Q8PaWt+eSFzW4+d1nb+5pJmf0N1ps9OHdR6Px3SDos0ZC7/Xe3Sb9Lr0Z3I15zew+sYz7GPZlvnMp+ybhPmOtDzzDo/ue4teexKjWPrZneMMN4VrX9ymbZ1+vL7HN6r7Lc95LCt5DSOp5kcM+Vv5vN90UT0sMg5QNRPijkeqNxODL4nE3kQNE8M6oCYOX6OB2Ql4yRv69wOmjM4MMoTpj49x++yHtTlvMTv/MYR0zjbJQIg0Z215oM5T9tvjekd+VQtgwqy9Dww8zVLMHX7X/dra547qi/H7fBB7af/OKRNG1/lYEzM1xE0K7Y0mP3meF5d6vdinVt+mynbOsuyzdjWk5yWsV3Ytz1rGmaZz5OXtMO7d2rbfrZGe/aFndpO8fnoSDqXJz+o03ae+kz1efjqktbaIdeNXDa3AFEGkDu1ug98ci0s0ii3Pz2/rfuCMU33ZTdY9+1sAaB+zLBNz0nOzzJ/63FA8Z+H/L3f+jcZy2XbxkSXmXfZticX5v7o2jmn5Z4Oa5eRJrWNzUx6m87Gvl/mmQdE9J2UY4BonBhzPXCkr8LT7CddO+f4Rr/j5CRPHpYDqbPzC37SjAO0+7iO+eXAOKi65IlI6xGv9LieUOzT0E+sMi0q2NBPkmG1/ObJQk3HCFbM/LOe4IzlOavy1i//NRFuDP1WTPsfL2hDocPa0Y49YtoHtQtfqa99qW3DFmjJZVKd4+TmTIfst60P6wnRJWBw8t+u/AOYzG0qnVfpYaLT0zAX+SxNahd+uUY79GFmOaFMr9vwtGntk67D2iV9vdzWzv69SJtL8CADTbfhOn27MZfD7DeX1TJc57dPyH3JOb6dmf/69uyyn8jhnuveJNeR17LoaXDZ/0yp9es2jrGd2teV3/LmIIft1cZ32RSRJ7kd24SM7dmtc8kLW7qz5CkRfW/kFiCqA8jZbCdcnfsBxvPEme9B1U0uB1H94OlzQpPfq4O1cUKzd5lpl8spvnM7wLumR43vdYCe9UHZGsBY6GkxSvi8T+Zj2tHn1mjP/pej2icyPvnqgnZQpDWXE5MZBJjM4MprO3FuB7LfM0jIZduwjm+Tw8ness5t49vWn3M6s8lnSeb1Fq13XPWmGEG6V77pxnu11n81q/2NAMdr+3MdnpGfapv0zCefPMxh3di3DTkva97Ifvs2n7Et6HzS4DKNvNjWv+Dsz4klfb55ItNqHEuydc79wW8/dM8zk8e26mSbh1vgTETfRzk95iZ6qg2B2ipUra9GXyjLHXXyTtu1ASxTvabbEx6Np+MxDK8IzG8DaHnjg36DyDAiH3mkXqQDt3r1uxx7lw9idHTU0smbEOx3P0a7a4GaatVnN/V5DIEnrUtkNqaX03JpUL+0Ci0tMfSad4TKhumOOy9dO8sdpqWl8gaZYbRtTn+v32G6ugKB1lq0wbjb1tXETQzfK8a+//cBlMmbIx6rwPafF2D4D5dgvUk2g8hXmVdGQ395k0cpKif2YrClHLHP3fNZbgd9Ii/NNMpG9ak7tWW3z9Lsf2kAAfVRJ/PFeQesWL7qW7HMbVLeGZrzdqVuOLjahkqVBj1NjnnNOp+lqTjG761DyXLVn5JAwvduU5G/oUuY/LgHTYeaRHcY4VtisNuyuxK/b49hr3mzgdwn9JtOQqi+GsNtfZws5G9UnshjAjauy2O/DaJh1HrzhVg/tuPEFIYuAhU/cUxRjqc+Pmi53JWfwdyGzC61DcnlN44ncv+QN8gYx5ZBNK+tRkh9J7vsN8iYPPJsBoYn1BZw7QQi8N5/iej7I3uAKE4KtbeasVsGAasbEFrRhlbH4y7S5EmsD9UimMz5kFUcEIcjP0bgkTrgunWWx8FkPAZHntT2wTgAH3MP6KToFRGYbGzxOECLg7v4beqgKfMEITSsN3qzkycHIzA0ggyjswacRU9aQiERMHZZThiyC9XIuxvtw0bVyT5Y5zjpnG9GeU1ILccyBNYC5T4n88StKMZFYLMq9QibAjy9/kUUXO/DwA01yI3YHsy8inZXIrJRBNZZ77a0L4dMt7yrMrVMtnVkf6yMfqGy3mX6XgFOzsFT+uRty2fHssw2n3VfiGD8qeUoznjIYRGKM4LGtOTVE4htewddb7Sj/XXZdaBhk/wCmDZGSftG/W9ThCrzbnAZaOv7RLa7hBXzgkX+RuaJ3P5zufvVT0bwPyQCE5fg2nEBad1/SnO9i9jD1EcRYLnzUlYRy9wLj0fPWDkvROQdv2pbctuGMhUhsKIPEXEskHchZxy//LjkmZxGOn+Mixnbo5DcyOO6OKLpvxHruGIjHBe4ijyW6tOdQeBMRA8d/wDRPJFYHnEQrAshIIIxt2eJySChDSqYtJlC7Fa5+3Pi5InieK/PAUee2CwHXJfOGmRYgzv9YBkKiAN2utQudaXsIE/+mYFhmiwVVJ9EEKxOlB5SpaUi/zqtB3z9pBNS6ZalkukDrQxQnQdlewmGvdTKfpCO4kRr+jl81kBq6lwr2lY0o+Jiq2ce34wOAOtX4keWR9kUlFZhX3Ecxz4YyeHBy/J5gM1o8ck/gxjvuFjfuQQlSnB9AG2nokbemRcqNkZglmHpOnHqtD6z0EfqxCcf+2HNZ+fz4GaXz1I8Ni5OyI7gSFlUWOxecnNvBD2XV2Kv+WxKZdlycWk1GsOk6jdNiaCq5Ifez8mRgVHgWA6PhpHBjywR2yzCED1obsAyuU/ti4kgejDrsvoT6y21fmTpplFL4dgD0Cnn9ZKZx/X6hVl635elb+ZzQfMMWsQ6r2wNYK91m5XHIutFxfGIY/1nktvAsO/xyyRLqY3tSpaaG6XoRpqDLzUjJvqNx+vcRqe15FpcQMPjmKVvf9Y8k8s0sdeRP0iX2Ps8T1Ee/4zfVCBm2catolfUhfZ5MY5XTQwRfXeoquZMsh2TV/se2dZmjbWdimoP5Te+X3slfV4zbffi3s5Gb0fobE+ULR2ufJbNq62XWp6M3zjmb7Yf0tPqki7rzTtuN/7YmelMt2GS009N12XZ7/5fh/U7af/qOfG7n20Tn49qn+g31d7VLv12m/ZTfRl+qm3bfUQb8n32So7tllzyy7cNomK0Cc2hLZVTxnbqIL+3zEvOpy581tGuzdkGLv98TjPaGdqW12J6+LD27FvWZb+tnf21cdezXD8HU48dMobvfOFZtX52aiei6ivhk39+1n9dyDz2TKOi5501z802dJa80cfx2OcFextEF2r9ZLS7E4x1bv99Zns7R/s/OS23/dFCX1fO5UiRy2gZntqP7V0qTal8VHkjjkO5HF9kGlLTMPMwtd2LadmWwdje7MuttkHnsmbsO3K83NeXsfze22c6P2awLxLRQ8c1QNQPolkOtMbBxDhQuI+fPpHaDqqe1EHW7Hzn7z9u5onEZE+T7JzpMk9M6c7nYJhxQM4ufYJKd14nx+ydJf/1fuPgn/q9S75kXw8z5Vgn1k4/aTpOVkp6XaV/73mCmhFHuqwncHnClHmkTnzpvHH/zWzyefruXW36m8+00yKYO+31jMK7l7RDu09rWR50k8VNrfdvD6tA31t6WTK7zG3EyA+3bUefjsc+IPMn3+0tlS6PQMu5bzinL793bj+2Zc0SwGW/EDPJPHFsz6kAytGl8sc8/lj2W0t6zHRmbv+O7VF0XvlqW1bR5bovmb/Ld30R0XdXzm9SIaIZSkTQtKERi15rROLKIrzq+VaKJKLd+zG6MYTap9SgfN0Qv/24HKE9JWoAERFR/nK6i5mIZmHREvxodRmmoxOoeM0rOJQKENzXgP/fHwY824r5uh9H+MxdNPycwSEREc0OSxCJFpr4AELXgqjd7HZXl5ckxt/tQeynDdiUz8+IiIhcMEAkIiIiIhtWMRMRERGRDQNEIiIiIrJhgEhERERENgwQiYiIiMiGASIRERER2TBAJCIiIiIbBohEREREZMMAkYiIiIhsGCASERERkQ0DRCIiIiKyYYBIRERERDYPTYA4da4e9eemVN/ci3aXovOa6lmo7oRRXxeGfy5E0VnaKf6mybwr7bYOeRhMIVxXj/Ad1Uv0XZQcQU/NLmzfWIrS9ZXYJT6b3fZt9QiNzt8xj4jIz8MRIN4bRu8/DWN44rYa4E0GQ/6BngygxMFYdfq41zpRe7wcgWJjDDsxvgzKRHDWKQJUY/r2adim9a0LoqKmDxFLWm5PAM0vBVWfyRGAuQSfMmhOBeXye3NZZbAp8sy5/HqnpuG7HsRv689F5zYA1KeZw8lULscDCpazX9TIdeCef98JchvJMa/zv0CTeWe/EMpFtHt+Lzrynn5BGQ4c78ZesXsW7+nGyeMnU13o7xahZ39rlunNLB9m/jsi+r54CALEJKLHOnFW9WWyn2QrW4fRt89ywhVdxkl6bTMGR0cRqqlGxWoR7O3rEwOH0bbZ8jvfE1sQDeL3o6ODaF5bLa7y5edRNKxWX+tpmtmJKB1YuQShm9swfLUNlbbhaj6WAK72OGx5UHvcsmyp5SpCVVMFIu0qIFlahb0r2nDCPEmL6fXeakbL1iKjX3zfpZZztM4INstbBvX+UE05ms/L70Ko1r8RU9+6F9jndwJaZsz/lHUMucxuv5l5fubEJTjWWYPijG4u0iPWQbfKU7NrAlrl9F0DRa/8yeQdcOUwDRnYPfBA1esCzcttxK6qjzmLInI8gMBS1ZuN2/rPOC7Y91Pbvqa6rIHv/c9w8wqwriSgBhgKfygzZBixuNE/U3JbsKbH6CrRdrUPtdZhlnXu/hvVPaALLCL6lmkLXey0djA0pg39do225hdntUk12NWnR7S6sO8Ywph2RJ+O+L9rTJsM12lr1ohpi8+msa467eyXqscc/8uz2hExbTn+kU+19O9S3RExpsmchyDSZB9PdW7LIuZRlxoupmGbZv7sy+E0qZ39hUu6HJ1cVn1s2/KKdOl5PWabxpFPLcutfqMPS/3OrbOk0bb8Mn3p7+S0fNdttnXvsR5sy+e2ThyMfPDL1zR7nqnOsp3lTeaP+r3rtK3Tt+Wlg8wLv3Rk+z5XeUzHf1u1kMvlttyqM9dnSpbxjS5z3mNd6eEyr+37gXtarePlRRzjdoppXnCsrM9O7dHWPHdY+2RaDXAl95OZHCfy/Z3aj+diuyCih8ICDxDvapf+8bA29B/qgO17AhcHPHGSSZ0MrOPqwYF5MFRBjBhmO5iLfj3AMP9PUeOLE40zQEz/Xh48LQdby4k8H3Ka6Xk7pilkOwHJ7zNPftbOOj17ACY5T9K+87PkU/p3Kq/0tDuHWcj14ZI/9uV3pi8zP2wceW49wVv5LZOef57rTaZHTDOP9WpfHm/6fH3XlZKxbfrJXL9pft/lnu6s5HpWy+M/Pf/0uHPZrrLJMf+c24HclmzbjNzWMuYtL5Ys69Hye316Pmmd/EB8v6VXu6n6pbsjR7WdLxzUTt/yjQ51tv3WDIg9tlP7tuazP1np6zHf9UNED7s5r2J+//338fzzz+ud/DwbydFejK59GeWLgSVPlAFXY/BqhRjtrkTbrQq0qKq60ApLVWwogMHRBtha4a2uAEL2arTh1kqU7utD4ElVrZpFuhq3FrKSOiUeA5YvUz25k20FK37iNe8pDF2EbzVc0dYuW3VluurX7Bx54KhWd1aPyer6FGt1W6qKaUivXjN/V39OLLcuiIbzFYhsTldl3j5Xn5pu5+cBlMuBcpqpaRnL5738QexuiaHWr3rreG1qHr3LZfV3F6oc1YkyjzPyUKVD5l8IvZlVx3p7S1klJz6n5pFbVa8fsxqvFS2WdaS6Y0Cto5p36vNYztumrL5etxEe1ZNFqKoNoM1WvW/Kth7yVBPSl6dFLKVcVu82mXlU/Up3YoitCIglESm2bFupzqWKPKf8E9tCa2sAIdWMQuZH7Jaj+ltvjhHBUGo7kU0gatG2Yq9af4NovpXeFisnxPDuKj2tmZK4GRX72TdD6D3UhCbZ/WoXat/9v+PVEx3Y8RcFajw/lv12cwx7ZRpS6beQy3axQm9eY20O4k0133E0wcmprS8RPfxUoDhnNm7cmLpClZ9n7JubWu8/ntVuf2P0Gle+7le8GSUequTCvbQgXfKgX3mHVSmHo8Qg/Xs1fh4liPbvcpWlxMy11CLNyB+zZMCvM6eZWWoz0xLENLdSHZ9h1mnIdWYr9XArVXIvaTKXPXueu6VFcJQ+psl1YM0zC72kxn17NMl0uW+DuXGuD2d/Nv7zl8vmMj25Hmx5ZOZBls4t/zLWqVwGOb7bevXLS5kGx/eu258Ls0TNo3Puy5l55jJvwfobZwmj/M6cdnbiOLcl81g1PXJE2/JcnXbBd32rdeO2Tbux5ZnMc+80msvglsdyeXPKeyJ6qC3Ym1SmPujFpclh9LQYV9WHz90UQ2OIOUt35FWxuELvUjdT6KUyssTwWHXWu56XLRdTfLLBuOpXV9zy95H18gp71JimpaTCybME0SZq3AWt+vw5SlHWBmCWQ059FAE2rjPSIUu8HNNMlx6GUK1uwtH7RT6YN5MYnbUUceYliEZpDCw3CGXetGG9o9NWgnhtmVjSGE5ciamSKpFH+2Aptckk10v9OaCq214qKIebJXDpm4TcTZ3rRczMw6zkzQcRVGTkmbK0Ci0tMfR+W6Upcn34laYKRU/ab3qwkzdaOUtYpxAO9aG61lraZd6QlaXzWXdWwTo5/l7ELKXLWV2LoK+mwrYOoqltJ4vUzVX2G8rMTm4zRT+pQOyKkZrbE8P2UkaXeUtyPN21Tr202tj2jBI3WWI42FKO2Oc5bBvxmxiJF+PplfZlKXiqDGX3hnHhI49p6Puj2j49SyczpY6J104gAvc0yhJZc58yj6tWwboQAq0nZl2CTkQL25wHiHV1dXj88cf1Tn6eEXFgPDGxHe90d6D99Xa96/hvL4gvksA3xigp8gSgTk7ywFaLUM4HTOMgr6pRVPCSugM4h6Cu+ph5ovGurpFBCWwnXD+WANgWmDqq/fQqLssdx36KRZBwcUhMwXn3auYdtJlV0pagK3WiFZ0tGDBOuoMtzmBEVs2JgFcuk1gOGejq+SUCVjnvwIo+EVTvVQGKDELSQZhR9VqJNlRgnfhe9sv1mnGyEifJXrfhrqI40RrAXjWurVpS3h2uD7VKp8lIj9FZ70jNCMCsQbTobAF23vzvuI2eEsFBxqOL7GQQnw+9mQaasTtLoD179vWdTfSKCFrXW8e25o3cf3MJNm+LLTF9wWWzVEzrVkzf35ct1xs/pGTOW7JUO69usFycViKyUVyM5RgsS8mJcYyI7XzVX6gBJn14AZb9sFANsNPX//nc81An0hoSe5K+fYoLsoqN4pLUpcpdXmwaF8eW7dl2PBQXeGvVR0lvgiHHm8cnDRDRAzfnAeKWLVvw4Ycf6p38nL8kRt6OYGVNmTg8WohAp1wcMjNKEFNkEGVtO+QnhhMiKKy9JU+Gsj1WupQtVKMCGTPI9GlP6FWCKAMH65V5nyqd8CeDJssjLazzvTOEyAozmDLIq3hrG8p0wCPSYj4KR5YwqWCyUi9taMCyc536Qdwa9Jid2yM6ZKcHRamTgOjEdG9PBFChBxLGozIqWx3BiJ7mCgQty6Hnl96eyUKchOTzJa2MUibR1cb05dDbE7qt1zzaeka7a4Fj6oQqlkVvF2YGvOebUa7aFmY8kkQFoca4Is/3pU+CMnhIn2BFAL5ZnrTVNGUnS7Flu1aVZ7mTQU8tYi27bQGAXuKdalM4jIhX6ZKSURrmybhIkvvDYB6lUXNHbvsutQOSzH99P1X90rVIOm/M7Uz/YvbkvpvaX8V2YhwjjF7T1LlWvb2hvfRVBK3Wx0Ll6OboWaAyiJWPqAFSYgSdLT1YVPM2Gp5xa4OoLr48Lh78pPat0QrEWv3bNBtBqDH+4MYIKs1tWOa5JdiOXhGHIjnN82KaWbZJInqIqKrmBeF2+KC2829/qq1Z81Nt26sXtNvW4f/lr7Rn16zRfvq3O7Wd/+LeWim3tjFjtnZoZnvDzM5oJ2VtaySl+mX7Kr1tkktbHkfbK/d5uLS5svzO2t7M2sbJbBtkdpltiDKXz3gcjbk8RzLbnSm+bdzM9kt6W8g67zZ7at5mPpnTtOWjmpb+3adG28401a5KdtnaVunty3zS7MWxftL9Lm0c9eVNp0Muh5F2Z/pkuu3r1LrMxjaQLa3pZXfbjs15qz59u7NuC/Y8y0xPJv/5zZozn/3IcZ3p1Yc588yxjhzrx5tXmzuVj5Z0pvdXR3r07c2ax1Ze03c3Le9S3r1T+6vnxPR+tk3/bHbb/lZsNwM3tbuq/bUbPY255m0GY71nW+dyHunlUduTygPbcurrSebXDPZFIlqwFv5zEPPicdLUO/NgLw50PicU+0FRTi/zJOt2cLYP85+HN3UQTv1e9luXwXFQd54czQO1ng7jt/YDvJxG5vKYsgWIqXS4nZjM7/X0qHxzO3nbhqXTKIMfY/p5nmTMk7ZX53ES1ddXajzvPJHSaUt3ridXZ1rclj1jXvZ1bDvxOsnfeyxPBrk+PMdN7ye+85st3zRkyshnZ/5JLtN0Wz/u69T9+JA9OE6vI//8sq9LW+e2LLNk34adnft+ZOZVbuvdbXn89xUi+u74M/lHFSbSQnCtE51oyHrDBZGfaHcnUJdnGzUiIiKFASIRERER2TwE72ImIiIiogeJASIRERER2TBAJCIiIiIbBohEREREZMMA8WF0P4HxG3H5Xpk8JBG7Np7nb4iIiOj7iHcxL1DJG31oPRUH/n0JdrxRi2DqhQpJRN8+jNjWZlT5vAXBeDtGK9Bked9uPIy2cwG8uj9of0vNnJNvw9mDzotxjE9Mo+jHASz5c/XVvSSWbGpEy54yFFnfHjFfkiPo2deJy/FxxJJFKFm+RH0hvrq3BC+81oLa0gf/7pBv1wJaP0REtDDJAPF761P1dpB85Pnw3xn55qbWu2W/djZ8VHv2uUPapa/UcGFapvnUZ6rP2/TwYf3NM84H4n52Sr7dY1r1za/JD+q0NVt6tZuqX/fVBe2gSFfe+T4rk9qFX67RtoRsKdHuDhzUvs9vf5j39TOT/Uua6e+IiGjOLMAqZuO9sKn3/rp0Ge/Llawvlje7vN5/myP5Tmj1Yv9588UYLn29CoGtB3D1cjsqHlPDEcfZrklUbQ6ofg/JKHp+d1b12AUqX0C866yY0vz77OYwsLYEttQ+VgxZ8Dk8cdvoz1sckct5pv7+Z7h5BVhXYs+3wh/qKbG83zg/yesRjCRUz7csfjmS9zqdn/WTB7d9Vnb7+tLvsFZdap/3+o3epd+TTUREs7MAA8QiVHWbL5S3diFUi2/LWwYz3jIS7RYnh83Gi+UHW8pRfcz4zeDy3lmfNPRpW09Cm9swfLUNlZZhrgHrLCRuRTFe+iPjZfjWar6JIYSLK1BWqPo9xP7Qh0eb3sSL8vPnjlD2sXJsKg5jaEL1z5sYYiJfyoMr7dXZEzcRFUN2PLNSDcjXJKLXJ9XnHH0RwwjKESyxV6zHxsUFxOIdKH9KDchTIhZF/H+rnm/Z5PWoyJl8zNf6ycPSKnRl7OeiO1at7+fWYal93uU3cp8XS4Lm85bmFERENCsPx00qeqmBCADFyaBrq7292NS5etQiJE4Uxsnh9sSw+kaEmlu7MHq+ApH2sHuJX3FAnBDTJSVGMGgPKIN19pOReUIyg1DZzdlr8aYi6KjZhdo3BlBw8wTqxOee0fRtJVM3xLIFA/CND7+OoO/zKlSvLvRoZ1iIQBAYvjGvZaAiseNiHsV4eoVlfSVG0PObXix57SQanpnfVpBWMt/Gi59GwJqU0R40/csSNL7TgLIHl5SF40Gsnxz2r7QoOs2Lrn19alg2Rm1D5cResR8yOCQimktzfpPK+++/j+7ubv1zXV0dtmzZon+eFzJw3BzD3lHznbMuN2YI0e56xF5yOYHov2+DGVLKUgt7ACpPWrXIerpa24zB7irYQ9eZmsLAryoxtPky2jfaQ0F5gu1/KnN4WhIj3Z1I1DSi4rE4wvu3ou0pETzX2d/IO3W+HpW3xEnVMVwngoTQG2F8pno9rajCq3vKPIPV5NUOrK27hODGMhTrpaAJxMaBnzW1oHa1JafuT2EqUYSiVDV6NmKdiM2rwS3trpIYfmMt6q8EUfGXxUbQ/L9jGMfP0HyoFkE9KUlE3+3E0P/3LiYe3YH2fbndxDN1TvzmJw0LIjDJ993Lua2fJMYHO9FzdAh4bgd2/B/VKH9sHKG/b8Vnq3Zj93/bBEehrF3W/StNbtuR9cbFlrzoa0WL57i6a50ugWQ1QqljARERzYreEnEObdy4UVuzZo3eyc/zaTJc52jMPqYdWXNE/LWT4zlv1pDDZBqdw3M11jXz3/ob044+t0XrHVe9KdPa0G+zzHO8V2v919uqZ1I7+wuxHtxuqHkAN9rcDG3R1vzirEiFxX98oh3Z8qxW94EcOqkNvXVYO/zrLXnmo1jHeaVd3vCTedPF9MgRbctzddoFeYPK56e13mF5447M42dzTs9k+EhuN7h8eUE7tPugdjqm+i3uDh/R9h/o1cYy7hua1sZC+7X9oTHxKbuxrszt3k/29WOS2+MR7ZNvjL7bH53VPjE3MR/57V9yW7WkX26fzrSlyH1cHl9clvfLs1qd23AiIsrbAr1JJbd2g7I6OfCkpZThWgR9NRUZJQjWamdJllbIEoqcq4dlaYWlzaHsao+XIxbqxJzfBjMVx/i9dShZrvpTEkj45onIt9AlTH7cg6ZDTaI7jPAtMXi+b6hxFcfNj+Mo/suV9lLVxU+jrDSJ4YEhkaYilO9vxN7n7DeOOMXOt6nlMbu3MHzlLcewNgx4tamM38RIvBhPr7SXRhU8VYaye8O48NEUpq5PomiFLAorQKDk6cx2m5IsWbXNswmtZ4bR/4Z9WNM7I2JNOUzfRfzGCOKTmU+hTH4dw9j125icVgNSpjF5awxjX0yKTw4TA2izzlN0b10ZxluOYW3nY+oHTrmsHyUew/XSlfjRI+Lj5QFMPlWFMt/HK81g/9LFENO3b7kdxyD2LmTeJiNL9I2mJqNuJYVLq9DSEkPvuQe/xRMRfeeoQHHOnDt3Ti85lJ38nLc8HnHhLBl0L9WTpROWR5nIUoZ8SqA8SzOMkoz8Sr9yIOe3+7Tm9iAbv1LL6eEj2pERe1mTHH/N35/VMgp8RnxKEO9+ovX+5pB2KFsX+kS7q36SYXpIOyzzZkT1m/TH96zRnu34JFUq5la66y+/EkT5uB9Z2mSWgKX8z15ty5pntcMfTeuPe3n2LTnNu9qFV7dpJ24Zo2STcwniA5BXCWIe60fm3xaxruXjkfbk8HilvPcvk176Z9Q81IXPakc8SxAN+ratxrdtP7bjhypFl+PNJE1ERN9jC+45iHlV3cpgyjzwewRyelWX9eRgO4Fkl1d65Ekuy4ktm9v/ul9b88+fqD47WS3omnZZNdh+ISNgM6r5MgMHOXxnLif7mRJ5/OyaQ9ola4K+uat90rVNW/O3Ij3/oYYJ8x0gjnU9q635zSV73ogg+MjfrtG2ienogdA3k9ptka3T0aPafnNYDh7aADGP9SO3uZ/+8oR283+e1vY4n5noJs/9y03GPutkC0LlhVr6AtC2v4rxjqi05FsFT0T0fbfgqpiD66vRF/K469hpdQNCqFV3PgIh640i6nlplRcrMGi9oUHeWdnamvOjb/JKj3wER20MlTN+/mISsfERlK/4keq3C5Ssw0jcWvEWR/jgLmzf+jL6Lvei7bz5JDxjeN3bI+JzGG01u9B33fhG+uzWCMoczwScE/KtJWJeu37TL28NwVuviM+yX3Y/lzf77MXJdxoQXKzGn0fJ0R59vgfPJIGP38J+Mx2i276nD/i7kwi9om5GeaQIxT+Iov/TMnSYw76L8l4/U4hdX4aGX1ej5KmfoWr5WQz/UX3lJc/9y0neoFLZGkAo201IqaYTQexuASIfTelV27W3mrE79UicdQhcNJ6nWIvMpidERORtYb5qz/UORYuazDtz09J3HstH0bi2gXLcXZnBOX2f9LjdmWm9IzNXyUQCWDyJs3uaxAn2JHZktEEUEhE0vTKJvcd32B9unJdxhLaFserdxgXxeBcZEJx4siuPvMr3LuZcJBA5PoyVuzahWOTPyKfFKCvN8rBJ4WG+izkn90fQuWEEFVcO6NNNDDZi1xd7cW5fifG9l3z3L53ab3N8IoARSNrn4HeXNBER5YfvYl4IZOC3oRGLXmtE4soivOp5gkyKQGA/RjeGUDvDhzvjhvjtx+UI7clykp93ScSvj2Do1GEM/PAAXv7rcpT9RfagTN7MED4HVG2duxLQxOU2VB4MixRJBah95yoOrNJ7fCWuhBH9yyqU55LseRY7Fwa2Vs3iwsHh6yj6f9+Lvn8D1v3yVTRuKET0WCMOHp/GukPNeLUy8N0taSUiIgaIC0IyitCBt/BZcQDr9jdik99dovei6DkSx88PbcpaypLhfhzh1/sR+PWDqeYlIiKihxMDxIdRfACha0HUbs7yvBGbJMbf7UHspw3+ASgRERF97zFAJCIiIiKbh+NdzERERET0wDBAJCIiIiIbBohEREREZMMAkYiIiIhsGCASERERkQ0DRCIiIiKyYYBIRERERDYMEImIiIjIhgEiEREREdkwQCQiIiIiGwaIRERERGTzLQWIUXTWhTEl/oXrOkWfGNJdj/AdYOpcPTqvGWN9590ZQV9rIxpbO9Hzuya8/EoT+q8n1Jf0vXWtE6Xdcq8gIiL6dnxLAWIQFSsiGBIBoSGKyK0KrFsK3J4AAsVqsCKDxtLSUkdnBJQmOU79uSnVN0t3wqiX89CDWBfyBG5Ji22+8rdev7OIn2tE5RsxlP2yAx0tDTjwq3a89UYV4odqRYCcVGMpZnqydkawnTfH8nh39jzX0+UayMjA32V8JdeLAH2969MXFxQ5pCfa7fx+hvmRjedyu8tleW3b+L4+4Hhtqr/zmpGfzu07c3nluOrLbHLcTm3yXG4iInp4/ZkmqM8O8qRUibarqtdF9bFRNKxWPSZ5EtnchmHVq6sJYbQuqHqMk2Flq20MXfWxELCvFuL0mJKeh0xPK9DUhSoRSBpkSWQMu7urADHNVrSga2tR+rvSCCpGG0Q4mgc9/THslb+TgVMogEExfXOqWcnftwMtPr+Ji7RuO/403jldi5JH1EAldnoXtg9U4dw7O5CKk3OYppE/JxDodi6vzAd7nmJtc9ZlksFHZL3L+pVkvsggxkpMM7Qxglq1Xu3bRvZtqbxl0LLu1DYysde23eTPXPZqhFy2A7mMtcdVjwtnmlLk+jgVQJdn2vJfXhuZv1cqjGXXt0exHZ+3bvdezPk6lzd7egzlaNbn47LNePBdDiIienjJADE/Y9qRNWu0uvCk6k8b61qjrVlTp539UtMmw3XakU+N4fKzOdzKGF90XWPGgC/PanVun3VyvkfEXysx7BdnNZkSOQ9bmiy/N+av5mXtbNMXPj0ihjvm4TIslW6zU2nQyfla+51ip7U9a7Zovf9T9TsYaT2iffKNGiBZppm5LGa+Tmpnf2FPpzmuvh7EcqTyR18mNVzxzCNLZx1/rMs638x17smaDg96Wpzr5oGRyyOW12/+GdumjxyW11wfOXVzlS/ZtlM3+Sw3ERE91PKrYpalGXqp3GhGqYEs8alFCKOjRknH7Yl0CWHR1i6Mnq9ApN2s0pIlGrKEahDNa6sRWh/RqxKnPopg+FbMGCceA5Yv08fWXYugT/yrNavTslWPWX6vz1+kOaOzlADp1XWytNBZ0rS6QaQ9gF5L9V2wzjGd7ircNqv7ZOnp1TZUqnTaq/wSiBzvRHRVNTY9pQa5SiJ5X310IUttzHmHatRAp2udqLxYIZbHKMmb+lzkh0ku06gsrbVXwcpSP+t0rf2DLeVqLMOy5UAsLj/dRgxG84DsxHq/ItLRWpm5DvVqbiM9+vrS140syXKvpvakT0eti1SX6zTk/GQptVhmv5LLpQEEzO1UMKuHM6t3c1teY32k83p0VO4XYrgs6bUNF52ZLtflTHc5VzVnZeyr+nSdNQNERPTdpQLF2ZElC7ZStnSpkpVR6mT9zlrqZZQGnlUlU87SKFlqlyqJSZV+eJcg5lSapTNKRPVx9eVwKbVR89BLDmUJiqPEx1ZC5Fcyc/eSdkiMv/PUZ2qA07Q29FsxzS292k01RGeZpnM57SV5lrx0lNjKtDvzw5pH8rN1mdw6c9yMElTZifSNuU3DUuKk/86SN7bpuOSZnibxe9+0qemnxnEr4crYPmfL2GacaXDKd3l15rZl+d5ctuzbs3fpZy7r1+t3qe1Nps1jWYmI6LtlTgJE20lEJ0+gmSdkOV76JOceRBpVcmP278zAzTw56ePI+XkHiOnA6QHzCxBvn9X2i+XwPNFPf6Idfm6NtuX3tvAw/wAx40Tul9fGtOzrxghmrP3O73WO+VjHcfu9bRuRvxV5YRtm5RPUuaYli5n8xlW2dCszW15HwKa6bPMyWC50cuG3nVrY9iOfdUJERN8tPlXMsmopt6o5WZ0ceNJS5Syrg2sqMm4KMKudjbsvZaP5YbRtTleL6Xdprq5AoLUWbZZqy+ipNgRkdaesipbj7ouh4id5NIyXVeNZ7r603UXq2lmqYx3VeznfPf3nQIH66CZx+T30YxMatpWoIe6GzSpL0bndZCGrk8ut1fN3hhBxqQa2VTsLffvSyySna+233lSUyivL3ba+eSDyv3Vib6pZQqo6/1g1hidu68PsoujUqzNjiOVTvZwnmY58qmL15ZY3j4xmNrGwyXN59e/lTUhiuqEaeaOIvVo5600getMP46aSviv+23n+xFrQmxKIdJ6KAGvnd50QEdHC4B0gXjuByMaWHO6clO3R7O3Tolf6UL3eGR5OIXarXH+EjWzDJ9u0pdq4nW9GeU1InQiXIbAWKN+4LnWXrRxfvyN2dYPRFq5mb07pMskTW8VLPm3KFGvbPnun2oSZHG3Gsp7ATUUBBBYDk5MJ4P4URo63oen1fozfE98lhvHW6zFUd7eg4jFjdDeZ7Skz724tejKgPhlk205Y8tNkDezt01VtQ23zSd+VbIw7KNZFtVgX1ahe24wWkQdujyjSLa1K3fGbaqvqeRe1vDCpBY458nxWpjB00ZE2EVT1inS43qXtKooTsk2nX9tEU17Lq9q06t/LfcR+0ZTu7O1FU2RwqN/lLKYh9yM1OJOlLaHs9LayMbiF51bBOtlW1fhNrbjIEJdvCLjse8ZFn+jyfXQOEREtSJ4BogzybKWCPmRAkiq5uNaJ2lvN2O048U6da0XbCjOwEyfb1vQJWy8hVAGlMV4zKi62ZpZeimlXtgYQSp2kg2jwOPGmb6KQhhH5aO5OW87SxpxLEB8JYsevyxE5GUZ0OIxYeTPaXwvg5rE+tP19DwreeFsELH5ljDkqFgHixSHjRC1Ls0Se7XUGsS7ryTzJd3afEOsgswQ4TQYbrRjSP1egoTaGE9eiiBx3Dx7SZKBmXX9uilDV7fF4nRmKdldatj2DHjRbS1mzuRNDbEXAM8hzl8vyWhnLbg3KjS4EEYpnkiXZ+iOZLBcJlptnrGQexGot09SDyfRNX97bsNjHzN+sj0HsqeISzkmse/0GNXHhtzFmeb4pERE9rDwDxOD6avSFciwNWN0gTg/qwb77gJA1aNOrv0qNO2qtgd1oC9BunJx6lw/qAYEMvIzxqlDVZL3rWQUvctp5PNcw9rnx62DdoAg409WyqW4WpR2p0sZjrqduT8Vbu/D+/iT6uk9j4FQPen7Xh75bwI7/fhINa4swdccjRZY7o907y3PullahZWPEGF8vXbLmmbxTVwx3ridB5pMstes7nq46zswjIzjUn0f5pBok1n+DCBHcmhXYFSGwog+9ZjAiS2JzDp7ylS4x00vwHPMp+kkF0HrCvVTOjbxzWeRJfncHz9HyyuB0rT0w0y9SnHfdyzTmUCqYIp9PqoK/FrT6v71FBqP7YmhucrsgC4rLBGN7qRQBcW53tBMR0UL2Z7IhovqcST8p+Dwu1/EAbLv0w3btD01WgaDeps14oC9E8Ke3pXN5oPaJJ7tE8CHS4fnA6vR8bA/tlYGp78OM7dJp8pJ++LBz3Iz5Zn2otZVIf81NVB3fgcC9KMIfL0PVBscvc5qmDIjcHpRtkt8bQaQtvVJqPZsPSjYG6+S8LY83sf1W/k5/oDPEOpCPP0rPWwb07g/aTqcjk/UBz5ZAVKXHmu/Obcpgn3bGcjo5li1DxgPF09uaK9cHkOe6vJmsy+ue75m/lPlubZea/p0zHS7r2pX5O/+0EhHRd4t/gEgPgAw69uPCjwN49OsAXn633bcNIhEREdF8y+9B2TQPVqJ85yJM/S9gw//H/wYVIiIiogeBJYhEREREZMMSRCIiIiKyYYBIRERERDYMEImIiIjIhgEiEREREdkwQCQiInpQvohiPKE+52oqimjqzWBED4ZHgBhFp/4GDfmQXOMdsNHuev3Vd/Lhvfm9TWJmktc6sdXvzQ4zYC6Dk1ymnF+XR7MWe3cXNrRGkO8xMh9TH4fQczGPdTo1jJ66WuzauR3b93Vg4As1fKFR7/BuPNiGzrc70fTKy2g6E0XivvqeZkQ+YHxhHwPMY7E4Ns/xcXHBkQ+Cz2EZF+xx+34ckTea0PZ6PdoGHemLh9H2ARAoVP0eMpataCVwrg3h70mQKPfHBxFnkD+PADGIihURyztVo4jcqtBfoXV7Iv0OZZPcmNOvfDM7ezCW1858P4azXX2Ie7xX9oGQb9nI+VV8ZkDtfqKxL7t8MLYzrzy6GZ0Icp++PZ3piwEnc/26rj+ZT3mm89HlL6Bh2zpkOUbOwBSG367Hyweb0Pp6D8bvqcHZiO2t//URlL0Rwsl330PXX99G064mRL5W3y8UX4TRuKUVsZ80oOPNZjTsb0B7dweqPm9C7dEokmq0mTIuoMR20C22ZbVe5fbs3G5mtl0qcrql5kWny7RFl/NxYq6INPUer858X7nNA96vMhRh3cYYIteC2L084nKh6z0ferASFzvRWFCGoLjojMYn1VBJrKN/GkdFTRC+b9y/N4zefxrG8IT1pZkFCNZUYPyfcj0n5UZug/ZATG5H7gUpVl6FLd5ym26+vo1A0j+WcdsPVXwgLnz89/V0HLFQuD4HUWaA22vnqo+FgH32V42lX3kmM8b+ajRjgWPY3V0lrn7q0YoW/1efKXL+W8QOklzt9uoygxwnt+nJA7vz9WjlaG4JoK3V8dI066v+5Iks51f1pZezSJ9fLwKW15hlS6vcyN1fS5dJjmt9lVpOr0zzeTWbZ/4cq0Bkn3oNncsrEH1fS+j6yrkHSW6LlYhszPKqPdMfQ6j/dAO6fh4w+hMRNG1oRKJV/H7zt7cUNnGxPb7Uh6ePvYfaH6thpol+7No2gKo/hLDjCTXMIZftRh70Yy+1AKeGsO4loNWy/ct1rr/20rGN5r4fCnKf2hzD3lxf2ScPqJ/vdp12XvPNIjNvFN9XiQpzvF8Z+eP96sfyGvne9wqPY5Lc5v1etWnIN99893Wf/Tz79mbso+arH6uPDSIQcn8lpftrNb3TZrxe8rZL/rtxP37O6DirS2L4jbXoD4o0VIqceUQNFpIfd2DXjSq8t6dEDXGTFPPehf1nYkhuy9z+xo9tR3jVSTQ+4xNium1HrtuyOmdvdDkXWhj577Y92znXk8zD9HnNGR84++3sv/VmHLOyrxff7dgqy7lL3y5c3u2fJvPJ/tpZSc7/xJMtYhv330e9l8dv/3af55yQAaKXsa412po1ousaMwZ8eVarc/usG9OOrDki/lqJYb84q02KT5PhOq0uLD9l8R9D2uF/vKR9cmqnmLdzemljXXXa2S/1T2K+Kp22zvze4dMjGelwTVvG8vlJL6dOzGONpV9O/8inqseFzGe/73UyPXK59DRZ56eW35pWc1y/zjq+JU9SeZHT8juWe8GY1M7+Yk1u25swPXxY5Mk27cQtNUDlaa6/n3fffKad/q9rtC2/v6kGOKj1fWRE9Vvlsd0Y+5TIuy4xjrn+XbYl67aa836oT8d7f3bjf8yQ6zi/6bmS+6pIp30+ctouxw+XvMjo5mS/sjOOw9mWNbf8mPFx00rPB4/xzDzKur2l8zjj+CjXSQ555L99uJHzzHKszTn9Xm5qvVue1Y5GVW/KtDb02y1a77jq9RI7rR0MjYlxxbzcjq3jvdqW3w6JqbkztpXMfJWfM9atXNaMeXhs+xYZ68uD/bzmnK6j38z3LJ1zvunteQb0eeZ6DDHWv+f25pt+tzSq7SlrZ/5Wju+TVsuxZi55VDHLaFVG8INoXluN0PqIXq009VEEw2a1bzwGLF+mj627FhFXF32oNataZlhUOn46jOU1FfjRD5aoIW6mELsVQECPsoNoGB3FaEaXjsJl1G8WQ099HkPgySI9ovct7hXLl8P1hrvVDQitaMMJNc/bE9mn1LfPr6hcXCFsFlcI58VyySuXOzGI3FeM5Q+J6xrb7+UVo5kXx6rt/eebxfWwRXEAUNUZsglBxU9yLV2IiHS0oVJf59bqA3lF47I88QF0tDbh5T0hRGdbHzqHClYEsempEiwx67wnbmIEBVj2w7mvBJ+JxJU+dF4PorrSr+QBSCadmTqD7caNZdsJ1ahhujz2w6VV6FJXuHJ/zK1aFfq+6q4IVbVAb47TcSVLWvYBIZHOvROV6WPEuVZENra4l0o8gP3KyixJGc1aOlCEwAqxfs19UC6b3C9tzQHyO266kqWmeimw23iz2N6uiOma5459fcDx2nS/eS4xl0l1skRouLUyPZ7sfJo/RLsrEas1SqWMKlKRXtt5anb7y/i7sg1zHY7FF+Hym7uw62AY6SaDNzF2fh1KlqteVwlEjk+g6udBFC5Wg5yWl2Dd+TExtUzynKaXbql1Yz3vFG3tEttnBSLt6eWV5/NAbRWK5DqV+abnryzFHUbbZq/8jGLoonG+cn4v5z/T875xfEhvh/I4I0skrdvmYItt7xLk9qw+5k2u6xxrM2T+6LWCo94l76n0h1AtSyEt6Xbfp7z2P/F78U8ekzJ+uzYAS8Rlt3o3Ki6eEEs1t1wCRLPo11K8KwKe0TrgxMUKNKu2iWagZYqKk5gs2tcXynmgzFU8jH7sxQ6xExXJg6vYPVMHPJvb4hufzHII1snqCyOAMdtQFv2kArg45Lsxl1sD4DwF68z8i4qdvjyj3aaT3BkqrsidLrMdUbS7FrEWywlLBq8rArZi8OBLzYhdsfzSeoB1HnCt1Q/6AV/0q+9rj8uDg8greWSz/kbvLGkTv6tsjaFCbCf6Oj8WSB9U1M5krx6IIzxYiIZDO1DypyHc/FINdpoYQNuhJjRl6drOpw/ds7Z0E9qPt2OTnr9JRM/1Ibb+VVSX+rYUekASGLkYRvKpTSjzqD5O3hoX67MYS5bY0zuj7caNZTuwV7vltx/qxElIb+/3kyHbyd7eGdtZ1gur1RUIZNmH/URPyWDAOEHI/VXuf/V19aic2Ot9Ipjv/cohfRzJheXErp/8xH5pqwqbwfqykMGqXqXucVKd1fa2XpxjUidFo0sFCdYqv4yTr6XzO+/I7U4ET2ZeBl8SwdIpYPfGSOpCfrb7S8nOEE7+v6rEhcFucTw5iZNvVom9UhHB5vhjS+DYRW2So70YXfsyykVwuOSJMuBqTKwxh4JC/CeMZ54XxfK1tgYQSq1vGTw5zjsiiNmburcgihMiwO5zLovfBY8eG9SibcVeNc4gmm+lt2W539jWlZAKJJ2Bp96vRnKV/ZxpMC948iPXNY5lDw7T23yWCyeTvKhQ24weMKu8SXVZA+ggdrfEMi98bRcrbsw2yqp3rqiSRBceRc16UeaYe/GwWfyeKu5MF9Fnrw64q1367RHtk/9QvbKawa8aI4cqCDtVpJsqUk8vn2vashTZ2n+TXs4MMq1e3yn2oniZTutyZxYtu+elJQ3O/JF5ae13zT/HfKzjuP3etkzyt9a8dXF3TBsan9an9ezu09pnavD8kOt2ZlXE0yJ9O//LUW3M3A6/dbe1s39v2bcyTGufdDyrrdnSq938Rg3S5b/deFYxW+Zt21ZdtyM/xnpxrZ5ymZZ9v3DjcYyaCbmNi/3uSFjs917bsTONc71fzVgO+5+U9/pS9LwR0/fojG0q3+3N2BbMaRwJi7RZpmntUtOQ6fdbRp/ly74t5Zt+d5Mf1GlrfnNJnM0cYqe1nX5p/+am1vuPZ7Xbah+W83ZvVuC+zWemNXN5JDmezAd9fDEdffszt0OZf878t+SnMw+NNGbLV1M++6p/2tPkNN3yyOQ+nWzrMG0GxxeRl5nbjB/7fmDk+RGRbsd8s2370pwdT9Jcq5j1qDkj4lfVQvKqvVVcRcC4q1kf/1QbAvJKT1ZFy3H3xfKuTkleO4G+WzGEX1elRCFZyTeMWA639ed2R1UQFbbqMRlxI6fpZ5rSi9k9l9Esshdk3mDjOttVlT9Z9Gy5WpFXDraiZY95O68wci3pSFXbyAbIqomA71WOuIpsj2GveaWYKn4PodrtitdUGET5j4GRD/uxcus6cd23AMXDaOoqwKvHDiDoVcXzwC2SNzB6+zqC904Dm+q2o8TSID7/7cZa/ehg2XZcb+ZQsu2HsopPlhrEPs+tzG/Zcnv5Reb0Z7MPG4xjnehUKUHD1gZ0NQGtXvvBvO1Xgv4b79JEV/pvIqiQJTo+jevdZF9farn0vHGv9pOdXto6o+OUvPFDVR0+aa9ilJ05P1tp7lWzSYtLZ81/G5fSNKcZpT/T7c9HUBIMZD6hITHp+7upD3pxaXIYPS3G+e/wOVmJLOaV9bxmkKXttuYYsslXTUVGCZlRKh/VawNbal2Owl4liOI437t8UJXAGk3QZImhXHeu+7PcLn2q+3VyHLd9QqbdpTo1l6ZaNh55oK9DR8mwuyJUde9FTMRAuTaJiV7JJ/aR+WjcTGnd7kfXixirBWg7Zcm/peLYrD7q3PJXxGbVc/zkF9cAUVZryBWfOhjIDUVsOMaOugyBtWLXtgQ9qWqQ1Q3Gzl6zN7fiWJN8rM2Hy9D+37vQ/nq70TXtQJn87ht9DG8io3qRw/zkeLeaMVgbQ6XKWNkuI/fqG4s7QxCH5FSAnCJXmjxQyXZNsqhf7FR+J9ScZGwYHvO2Voc42nPY1qXZmVURatxBsY5l24fqGnHQbhInGjE9WxvTFLnTqKJ5ubx6G64ci9+TI7h8eiU2PVOMKXHx4Xpe/zaqmKV7UXS+HkP1URUcirSG83mO4ryRbctEhPjlpP7cyKnRPpE/bei/kRT7TQLDb7ciVvM2WjY6Tkkz2W68WE4a9jaIFln2Q7N9lH58yJFsBpKqztP3X5f0C7kGnDZqX42IbV7nFuiZwYh5EpvX/UqcXPQL7RzaRFlYq8nzkmV9SfK4nlomffx0FW2GWW9vRtDh2x7Wkf+uXaqK1UruQ+qjlznZX0QgKvbLp59wWb8/XGacz9zcG8aJie14p7sjdf7r+G8viC/EPp5x/pvWBztlXExd6UP1emdemIFyEA1eFxNeFzzi3G4G6vJCTw9qXPN6tsR2EBJpl20j1ZCZcs8DJedAymgr2IJWkSfZLt5kczKxHenbjNyes4x/7QTaVphxlcXqIKpkm1Fb/tofPagfK9yWLVVIY+xP+nrMFqj78LhJRbZPSD/v0JoY2YC7bUUzKi62Zl59ioCo0tYOwmdDtIif68W//3UViq0lIGqHjcVdVqP8zrqCj0eyrDiRWe1id5cH6NW70XyrN3uJo6WBuZOeH9YNWF6RyJOJ2cB5tAHLZPuDfTFxhTzonlc5EwG5OFQZG4ZcDse8dSK4kfN6ybLB6CV7cuPoFOsygAqfQFievFs/Mj5X1IkrJnHlIncu7xsEDHoj53xOaDdG0L+2Cj8rjuHSrQK43oa0fBOazYsEn655s+1wnpPk9RBermnCQMa6SCJ6rA/YWobp6yMY+Vh0fwgj9phcfvHdOy9jV8tAensz3RlAU83L6Puj6rdIXO3Ey6+43YxjTO/ld5zPLZzCQMsul+FiL9r2Ksr/rQ/h68MI/0kEGq83IzDeg77X96On4E28/Yrbc9Xy3W582qd5lSDmsR/qjeTzPaEsXYcKta9m7HNK0ZPp7UCWeGW94cakgo2G9eJi12w7bevkDXpGCZetZG7e9it58q72nV4mn1JfN3kfNy18AlvDDI9TKeLCs6kZsZBPKasM6vVgXZ781Mk3NUyQ68ajlHbZckeJTIbZpl+4/5k4D5ShZLlLkf8PClHoWsOSxMjbEaysKbPvw+L8U44RlxLEScRGl2HJY6pXkftBqj2hLJi41Yzdjm3JOHf7XBS4BeAZ+6x8JnIzWpxBzRzRaxmQmXZjW3eWAjtuzLKSFzQueaCTx5XUus6NcZNPAL1i3/c8xlyLINay2zgfyguMFS6llw753OcQXB8wtmHPZTMK73Ri/jFVMhkSy5rzfu6kqppdpOvGzTp1vc2BWQ/uqBOX7RP8HsWgt3lw1M1PjxzVdv6Xv9KeXfOs9lf/5aj2ibp3Xx++e5v2UzHvZ1/Yqe1sv+Soe3e0LfBoI2O2V5Bp82sX4JY2c/ntw1WeWOv59XYb1vYCMm1y/pb06eN4503W9jH6741lcqbTyHf335ttRNKdX9sVa5665K9b2wY5PKe2HMqXF7SD//WgdrjjxLy18bsdOaod/edD2s7n5LZTpx1+66h26XPju+mRI9pPn3tWO/iBPcXTHx0W26A1n2S3Uzsd07/VPvnnn2rPPndQu+Bc0M/Pavuf26YdjWY+dEK2RXr2Z63aUEZjpLvapd88q/20fcjRTkm2NXxW/KbXfTv58hOt99fbtL/a26od/T8Pa3V/W6edGFdT+FK26HKRz3Yjx3Vu13q/sT3L8fTtybYd5LcfSu77muCcv8lcBrfvMsxlmyHvac3XfqWvk5yWMy2/3+S/vtKM7cA9r5R8tjfzWKrGN4dbtw/5G2tarP3pz9b1ZEzT+ps0NT+/41Ve6Xch2xk+J/LX1hbY9Jl2ened7RhyO3xQ2/m3PxXT/am27dUL4ghgGa6fF9doP/1bcf77F8v6vS2OOR7LYKYx4zxsLpfzd+b259gO/fnlsYUlL327VJrM7cGRdpOcntty69uw4zf6sCzHAZW+rMuRwWs/sG6Hgld6bXLYpxyMdZxl2XRmfoouz2OKlWuAmD4AGhmf2vAcM5Lj6RksV4hnZhiZIH+fT0Zkk/Pzj+SK8sgg64HefUNJp91/PJMxvts4+rw80pE+2OUulfaMfPfLb8tGk/Fb+bv0+ralx+cAYs1DZ5fvMj0Qkxe0Ex9mRG1ZTX5wQruU/8/yNvYvJzSPpx3ajHWlA9ixsPMCypvXdiOHZ6wvz4Nveli+zyGT87Ftl9YTySwOZCk5HZgt9OVJb7P2zrpsD2a/Sh1rPTq3Y6j/b+zrZ1bPjROc88p2TPc+TvlIrRNLWh3r1bod2bapLOs/lR7n9D3klP5vprW7d6eN56n6PKPwZmiLdnjY69vc3P3wkLbnPTOUzCa9zboei83tz3cfcFvH6elmdGY++Zx3UyzrSs/njPHt+5XX+cS+Ti1pyMqxHDn/zhEMSi77cka69M5xPBW899/McR+0P5N/VGEi0XdeYrAPw89UY5OjisZfAgPHh1Fes2keXg9ocX8cfaeB6p3+zzuUZHXq/oESBBZPIrD/DNqdbRCJ6IEYf2crdn3wIho3DSFe+jYaVnvcVSarw3+3CO1vzPQ4Io5Dhw6j4GA7KvI6fhHNjEcbRKLvoMQwLtyvyDM4lO0JLwAb5zk4FGKDIwi+mD04lFaurcaiOzGRrjczb1AhogdmSfFKBFfcxvgjDTjgFRxKS6vw6toRvHfd5S6THMjnJI48c4DBIT0wLEEkIiJ6IJKIHu8HtlXn9yitOxF0DizBgRq3G9KI5gcDRCIiIiKyYRUzEREREdkwQCQiIiIiGwaIRERERGTDAJGIiIiIbBggEhEREZENA0QiIiIismGASEREREQ2DBCJiIiIyIYBIhERERHZMEAkIiIiIhsGiERERERk89AEiFPn6lF/bkr1fTtip1/Grm0bUFpairWbd+Hl0zH1jTAVQdPGUvHdBmyvacLAHTV8DkW7S9F5TfUQERERzZM/0wT1eeG6N4yOTfXo3xbCaF1QDZwrUXTWxbC7uwpFaoivpEjL2noM7T+Jc/tK1EApiZF3jiG59QDKc5pQ/mSAGFk/iobVaoCFDKArW4dVn59qhEYb4JmL1zpR//ludG2dp4UgIiKiBe8hCBCTIjDahf1nYkjOVYAogqDSfX2qx41fEJXE8BtrUX/1AE7+oRYljxhD4+facPbJV3FgdYExwJUIRksjqPAL0JTZB3xTCNe1Ak1dqFqqBlndCaN+cxtymsMxFZT6/qYczec95kVEREQPlYUfIE70o/HySlR9WYv6eDMGcy3py4kMok4g0J09YLNKXu3A2rohHDh+DrVPif5rPTj8+Yto3lqsxvAgA6xTAXSJINczAKyxBsFmQLkbMTOdlmk4yRLG2uOqx1UOQVyeJYjGcoDBIRER0XfIAm+DmEDk+ASqfh5E4WI1aC5dG0IEfagtlW0Hre37ZOBY6tnmsaC0HDsQx7GLUSRuhND60Tq8mi04lOIxYPky/WPR1i6Mjo5mdqnAT6ahF4HzMiiU6QzA+KUiS0HrwmIsKxkAmtMaRPNaa/8oQjVqtAwyEDXywL9k1crIo8qJvWLaDA6JiIi+S+Y8QHz//ffx/PPP6538PBvJ0V6Mrn0Z5SI4XPJEGXA1htvqO10iiv4367G1dDsaB+N6f88e8fl3PYh8ocbxIkvi9rUhUKsCqPPNiO1TQVJpJWJiuGcpWkEZyreJ9J0R8+7+T9j7d0GkK5ZFUNvaiAGX2HLq8xgCT+ZSMmepHoas1o2goslRcrq6AaNNQKstsB1G2+b0MrRdtfZ7ly5Gu2uBY0Y+DLaUq6E+ZHCqT198Pl6rpt8pwkwiIiL6TpBVzHNp48aN2po1a/ROfp6xb25qvf94Vrv9jdE7Ga4T0zyijRm9Fp9pp3fv0U5/Lj7evqCd/mjaGOxrTDtim9akdvYXMs1u03d3d+CgGL9OO3tbDbCadk/DWJcY/0vVk4tPj9jSZOSBSGeXeyrt05fLZJ+f+/zleJbllvP8xVkx1I3MN498+vKsVpdH/hEREdHCtWCrmKc+6MWlyWH0tDSh6VATDp+7KYbGEMt4fEwAZX89jYGrw4hcK8aLz/jdJGKIdquqW9kjSxL1EkNZJes2fXeTX98GSitQ5lazXJA9Dfp8u7OUuclSQnkDil5i14nbZrW05406MytBTOfrFMKhGMpFv62kVme2h5QljS5tNpdWoaUlht5v+VFERERENHtzHiDW1dXh8ccf1zv5eUbuDePExHa8092B9tfb9a7jv70gvkgC3xijWAWeqcJ0aAxLKq1VvSLcGexA34TqsQjWmW3mRNAjq2/Puz86xtsUxj8eR/EzK2GLD+/HMXyuB22/G5Ep9RU9Jeb7klegZzLa+RntAtNtJc3O+UzEYJ2qLte7EKrXNmMw1S87t7aCRahqqkBEDyQrEdlYIUJuR3tHXRANKjCUN8O4paHoyYD6JKm0y/GyBcJERES0oMx5gLhlyxZ8+OGHeic/5y+JkbcjWFlTZgv2UBxAOUZcS/gSsTgWFY7iZlwNUIoqG1G9XPW4uRZBrKUl/xsskjcRvQKsK7EGRCIdH8dQWP4jTN9XAxyWibSIpCrDiHzkU9qml2zKdogisDtWrT9qxgz0ZDvB8pZBl6DWDMrq0dndi9jGdbnd8b20Cl1q2i3ytp0VAe/fiXT1IqTSEgL21SOs1kn0Sl+6jeWdITH/QX28kJgmQ0QiIqKHx4KqYo6fa8SubZV4+d0Iet8YgBlL6cMbekR4CITbd2HXcUu4EY9geMkBtL8EDHycjhCnrg+j780+WN51kkkEnWg9oYKXIlR1Z7sbN4HoOyIt/7UVZ0Xfhd/tsb1NpXBtOQKjQ3h0/dP24NYi9rkRFAbrBlFxsTJVEpfqzDuT9aBNpWd1AyqupMdpFWGc+w00chlCqBbBZ9/xYQy3qunnWIJnPLImgJBnFbZyK2akEUHsboEe6OqP2LnVjN1m0Lp0HQJq+WpRkVklTURERAvWQ/CgbB/3oug7vwjV20qAL/pRewhoPr4DASSR+DqGC8djeKFuEwrV6K58HpotS+nye6NIAgOH3kLRKxuAZBnKnKWXslTQ4xmGTs7nJFrTYv/OeLbhuo/MYS4PznYsY+rB1ymyfWEt+mSVdA7PmXR7hmP+eUVEREQL1UMaICYQPdOL/n8dRqK6C12bixG/3ISmg1EU/vwADtRvQsmX/ei8UYbdf7kMRUtzuGlkTiQQ6T6B+PKn8cLW8tyqd4mIiIgWmIe7BNHPdREgjgdQtbkMgfl4yDYRERHRd9R3N0AkIiIiohlZsM9BJCIiIqJvBwNEIiIiIrJhgEhERERENgwQiYiIiMiGASIRERER2TBAJCIiIiIbBohEREREZMMAkYiIiIhsGCASERERkQ0DRCIiIiKyYYBIRERERDYMEImIiIjIhgEiEREREdkwQCQiIiIiGwaIRERERGTDAJGIiIiIbBggEhEREZENA0QiIiIismGASEREREQ2DBCJiIiIyIYBIhERERHZMEAkIiIiIhsGiERERERkwwCRiIiIiGwYIBIRERGRDQNEIiIiIrJhgEhERERENgwQiYiIiMiGASIRERER2eQWIF7rRGlpqeg6EVWD3ES75Tii63aMdT+G/ldq0XR8ALGv1TDp/gg6S9eicucu9F1Xw4iIiIjoW+UdIN4bRpsI9jbs7MHIV2pYhimE64ygsPOaGuQicbkXnR9HMXD5LlCoBkpfxDCCJKb+GEDxcjWMiIiIiL5VngFi7P1ehMX/iT+G8PLBPmMg+lCrlyQaXf2522q4u8Q18dvX6tHUOiDCwCAa/2EHcOZlvNwdRvSO+P5WFOP6mANo3JCertn5BZ1EREREND/cA8R4GJ1H/SqTc1P42H/C9MVhDN8rQHlLO3Y8FkHv0RGMHA/j5r0koqMDakwiIiIiWihcAsQkYqMjmEQBSvaHcHV0FKPHqtV31QjJftV1bV2mhntYvgPth8rFhyTiEzEMvN2EgXtA8GAzdhSPYPiMHKkEjWfS0xwdDYm5EBEREdG3xSVALMCjSGD8XhLjb9dirazu3edexVzaPaSGeyve+iqa1wKx4/VoOpME1jajfVsAicth9MsRVlVhHdsfEhERES0Y3jepzJVHilFVW4si+XlxOZpfq0LxI0DhX25Hw4aAGH4ZTa/0I66PTERERETfNtcAsWhrl6XKV3QeVcyjdevUcB/JKHraQ5hCAXa88SYqvujBrs3b0Rl/GtUtL6Ps+giiH/dh4IYan4iIiIi+VR4liFF0WquSPaqYs93FrD8XcW0tQhOyL4n+urXY8EoI43di6DsVQaJwHap+XiC+i+PYxdnfFENEREREszevVczLlssbVNwUIhCPYmSqAE+Xv6gPSZ4ZwEhS/0hERERE36KsAWL1scwq5lCN6s3CWlVt/qa8ZVD0X8Z7xxtRUQQUlJZjh/zi3llc/pQRIhEREdG3bX5vUtFfpVeK0l8NpG9CiYfRtLEUa99WVcoFQZT+TRCb9r2KTStkdbOpHIFi9ZGIiIiIHpgZBYjT36gPWIaqbqOEsGG1GmSlv0oPKF4VQCrW+2ERliSB5LWYChoLUXEohPb9VQjKW50Tk5jUhxMRERHRtyHPAHEcb+0vxcvvql6HdOBomIoOi18UoOIvS9QQ4ZGVCD4nwsLJGGIJNcwi8ekoIvonEVTqz8YhIiIiogcpzwCxBCU/Nj4V/LgWezcaEZx+t3JpOnAsLlwk/iZw89Ykih57EeVPGcMNS1Dx+igun2lAeaExJHGxKXVn9IZf9UO2RCz4eTmefsT4noiIiIgeHI8AMYgGdXOJs+q44lfG8KvvHkBwsTFsyRNlxgehcNUBtP9clhgWovxXJzF4sRFl1qaFLgp/WIz0KIUIbmvGyVfKLMOIiIiI6EH5M01Qn4mIiIiI5vkuZiIiIiJ66DBAJCIiIiIbBohEREREZMMAkYiIiIhsGCASERERkQ0DRCIiIiKyYYBIRERERDbfqQBRvtGl85rqeZhc60T9uSnVI0XRWdop/jqJ4XVhTIl/4Trj+2h3PcJ3gKlz9Q/nshMREdGCsyADRPPVfWZnD55m6U4Y9XqQ5eQVlFmIQE5Pk+vv8yeDOn16+/ow3FppfO4WKbgWQZ/4V6uWv7TUCALlG24qVkQwpH+WoojcqsC6pcDtCSBQrAYTERERzcKCf5OKDKJa0YKurcZ7n/3IwDKyPvP1gDaytO7z3S7TkwFiBBWjDSIMcyEDy80x7BXfLxNpqpzYi9E6+5gyrZWtw6rPx9pmDHZXIZUCa5r0+bQBLYNGv+U7r+lXHwsB+2pFSJlWfSxLPhARERF5eLgDRBVMZQvJrMGSnN6JJ7tcgiefAFGWHO4DQpbv9GDtYoU90HNjCSwzpuuSfiOtsgq5FWjai9jmzDTJQLj2uPhQEzKCVDmdUwF0OT8TERERzcCCDxD1YAgqEMrCrQTRGRDKNnuxl7pQtVQGhPZSt7RyNJ+X46j533KU+JlUgBfwLK3LUiopiWmET8UQER8r1jegypyOHpSK1JlBoE4GjpWI1Q4iEDqBQC1Qe0UEqct708GqZwkpERERUW7mvA3i+++/j+eff17v5OfZmULslvjveMS/bWBKeZZ2eHJ6AQRE4Cfb8zWMjmI01YVQLf6F9M9mAGkEnKO1MVSm2gNaunagRYxfcUV8lm0HHaLdIoI75h0cyuBTTmPdetGzfDcCYjqd50TQKactAj89Xesj+rw6r5mlipZgdHWDCB6BEyI4bFZtE6c+jyHwJINDIiIimrk5L0GUgeFXX32lf3788cfx4Ycf6p9nRJbQiQCqYkUbYtnaFnqU1tlLEGWQdQKBbregLYfSPiFdAqkGeBLTq4thd7Yq6LyZgaIjDXrJYQUqLvZmfkdERESUhwX9mJvoqTYEaqtQtb4afaEsdw7LO3/XBrBM9ZpuT+Rw08h8uBNDbEUge/tEa4mkV6fumtZLHEsr0XZ1GG2b09/rd3mvrkCgtRZtMO5qJiIiIpqpOS9BlNXK3d3d+ue6ujps2bJF/5w32QYvFEi1/ZPBUe9ydWdvBrNtXmYpo71doqMEUbUhTIeQsorZXoKot0GUN4T4cL1jWJV+tuRZgpithNJWIirnkbohxciDyEavPCIiIiLKkQwQF5wvz2p1a45oY6rXMKYdWbNGO/Kp6rUY61qjrfnFWW1S9adNamd/Uaed/VL1CmNdZr/zO9kvpiPmsabLPmer9O+zyZy3F+s09WWRaUh11mnIPLCPa+bHZLhOpPtszvMkIiIi8rLwqphlyaHrY2GCaDjfjNg+69tSZKmZLOGrRsj1LuMhRBxVrsuWA7G46rG5jdhV4yaVEGrn4OHcRahqqkBkc75vd5F3UJs3zpg3zKivZB6MtgDtRtWyLFGVJYmpR+7UVRnzbJ+bB3kTERHR99OCesyNHui4PIDaTt5M0ovA+S6s+8htfKOqte2q0ZdR/Wt9DIyjitk5rp6eXB58bXksTiaZXsvjdCwPyc6l+tpgTF9fXj09RlU4zN/bHoVjpNv9WY9ERERE2S345yASERER0YO1oO9iJiIiIqIHjwEiEREREdkwQKSFK5k0/p8aRv9l3nZDRET0oDBApAUr+vZa/W7ttb8Yw8pn+GxHIiKiB2VhBoj3Exg/14H+66p/HsXO1GPXzkqsFYHIhm27sOtgGOZTcKLvGMPXbhbD3xxGQg2fU1MRdNTswvaN8tE1tej/Qg0XElc7sWvbBjF8A7bXvIz+P6kv5kwS8T/GMHVP9X49jnBrH3J773WevNbp/TgG3mxE2+960PFaI/quW3J5/Vu4evkqrr57AMHFahgRERHNuwV2F7MIUF7rQaRgERLnIwi6vaEkV3ei6O8LY9F/bkbVcjXMy/UerN1zHa+eewtVxWqYEJcBzWN70bB+ZqVXiYlhvBcaw6qDB1BWqAa6iovArAnhi1FM1pzEuX0largQD6NzdB0aZvJ2FBGUxYbfQ++NVXh1fxkyk2B/JBDEGBWtJ9Gx2ZIJs+a3TpOIdu/CQOlJNK4tEOmNoW9fJ5Yc7sKmpSJAP9OB+NJy3L0Ww8p91QwSiYiIHpAF+pgb49mBmEmAqAeG/Yg/uQO7/yaIokfUcB+x07uw/eTPcPJcLfTQTARW0dMnEH/uADY9oY+SFyMwvABs3Ivt5QEUZktDchidJ5fghfsHsev4Orx1sRFlIl6SEhc78N6Tjaj9sdGfEzMwvAi8ULsd5cu9olMRIL5xAnhqCaYXBVH2TBCBx9RXc85lnSYiaNoQRpnlGZLy2ZCHf/geTv48IJZDDJB598cQtg+U4j3f52MSERHRXPnutEG8M4K+1kZ0fLQIL9S3o2FbbsGhiFIQi44Da0sgQhIRlMQReTuM6S35B4eJPw6g57VGvPdlANX/0I7a9TkEh9L4GJIlAZRUViN4rx/vXU5Xs8ZuFGDVX6iebGQ17mAPGg+9h8kV1WhvrfUJDpXFAazbWo0dldmDw+REFDGzOtomidj1mPibp4mbiIhcL7YUji4qLMZ4NIbE1ADqf96HmBz4WBGKb8X4dhgiIqIH5KEPEJNxGRi2oefTR1F1qAONW0tyC8pM928iOgiUB1eiIDGCnt0HEd9UnaVK2C5xQwSGIg3hr4LY93oHap8pRkEeaYjfSiJYUgA8sQ6bVgGRUxdUO8hxjN4LYmW2aanAsO31MO6u2oeON2pRVqyKILP5JoYLRzvQ+XYn2l7rQPhP3mFewdJFGD7W7wgSkxg/3oORxcuQ4xzT7if1oHKRZfmWFIkwPZFA8rFiVNS+YATt8RjiYv3wNhUiIqIHY84DxPfffx/PP/+83snP80cGJrXYcyaJFw4140BlnoGh6YsYRlCCsh+MoOP4MOL/axz9l8fVl9lMIdKyAU03RGAo0lCdZ2BoSODmF8Uo0aOfYrzwUgVwvQ8DN0TvnZuYDARc2g5aTEXQVNmEsaf2oblFBLa5Boa6AixZ9CiCexrRsL8BzfuXo39PJ4ZdSwmFxSWo3rcSF46EEZfVv0L8D4dxKXgAO/4i7/AQU5/r5YPuHgmi7JHT6DsfRs+HS9C+09Iuk4iIiObVnAeI3d3d+Oqrr/ROfp4/BSjZ9TbefCaGntd7MPDHmd1jPHVjGOOII5oIovGVBuyuKUb8+AVEVQDkrwgV/3AOBwrP4vDrfRi5owbnJYabCBglZULhhu3YsTiOYx+MYCoaRUGJ+Y2Hogq0nzmAR88dRttx8Zuc0m0qRPkrtembP5avRNm9fly46pOXi4M48MsAzr4Rxsgf2nA28CoOrM4/OJSKnvRftuLKA6jeXIUDB6tRwhtUiIiIHpiHu4r5kQIUP1ON5kP7EPwqjLZWESjeyCdQTOJmdBiobEbzVuPOXbMd4MBoji3qHikUvzkg0lCFRz/tEWkQgWI8j9Z4EzeRfGql6hEKylAlgtTk6fdw+OI0grm0P3ysBJtekcvwKEbebtMDxZyScCeCjpY+jDtKDBP3svxYBIkvlkTQ+G8leHHVzIJDnVh/BWIdJCyzux0fEXFrYf7V1URERDRn5jxArKurw+OPP6538vMDYQaKLQdQlsgnUIxh/CpQVroyXY2rtwNMov8Pkfyee2gNFK8fyzlQTNyKo3iFvRK5ZGM1ShBB5OsyrMyjLWQqUPybRxH9fQ6B4udR9P+PEcT+XfXfn9b/K1zsH57Fz3eg77FXcfnXS9B/NJKqbs5bydN4Ebcx+bXql5JJlASzVKsTERHRvJrzAHHLli348MMP9U5+ftCKzEAxeQGdb/Rg2K/aN35TBHEFWLXC+tw/1Q7wYj8uWB5anTNLoLjkVh863ghj3DNISyI6Cqx0Pqdx+TpUrRIpeWalSM0MFJqB4hLETnag49y4fjNIhhVBVO/ciwr1iJnkp8OILK/FjvXe4Vn8Yif6C6rRuFGkrLgCDduA/neG86zaVgrKsKkmhuhNlbr74xi9WI4dG7JUqxMREdG8WmDPQUwgeuYEhm5dx3tnRoBVm1D1TBAVu3YgONMiJRm4ZNw4EkP/K00IfxnH+MQ0in4cwNPVbxoPiP5jH2obehC9k0TB0hKU1baja9ssAhbX+YslvdKB/W9fQuyPCRT+eB1+ebjD9lidxGAj3ipsNx4gPVseaZCSN/rQeiqO4sWTGJ5aiYbXalHmcbtw8no/er5chwYZHFrFB9BxsRgNNUGXquEs6/ReDOGjbyH6yHIsujOB4l3NqF7F8kMiIqJv0wJ9UDYRERERfVse6gAx8acR3JxUPR6WlJTN49tBkohfH8Ntr8fC6BZh2V8GkdfTZ/KRjCP66W0YrQc9LF6Gp1cV88YPIiIiysnDXYJ4L2G7A9bNInlH7Eyej5ijZCKB6Szt7+Y1DfeTSCR8w0PgkUUoLGR4SERERLlhFTMRERER2Tzcz0EkIiIiojnHAJHs5PuR9SrzJGKnBxDVBxIREdH3CQNEspu6gIPPlKK0tBJvFQYRVIOJiIjo+4NtEMnuThQj9wJ4+on5vbmHiIiIFq6FGSDeT2D8g7cwFmjEjlVq2HyS87vYixN/mMSjq4uBPw1j8okDaHilHMXzESR9HcN4YgkCxfKdw0nER4+hf+rnaNjs8YTq2bgzgtB7CVS9UgHr1BPX+9B2Mo7lS6cxcb8MDb/aZCzrnQhCA0DJDycwcn+TSNOM3uVCRERED7EFFiCOI/xaDyIFi5A4H0Hw2CgaVquv8nUniv6+MBb952ZUOV9lZ5UYQc/fd+Lf93ejcX06hIqfqce2qxU482ZV/kFitnlf60Tpvj7VAxT8uBZvHzuA4GI1YA5MXe1B6/EJFC6+iYFv9mKwuyodIN4Jo/7VaTQc24GAWLbklTbsulGFk/uDKDAf2fNIApFDTUjUd6FKvYqPiIiIvh8WaBVzFJ2ltcBMAkQ9OOtH/Mkd2P03QRT5BXf3xHxq9mNy/yDaNzpe75YcRsfag8DR/4HGZ3J8hmCu8xYBYuONlSj9ZhrLSstQVlI8b9W5U+fqUXmxwhYgjr+zFbsS7RitUy0MZcC4eRw7rjaiMLQW4ZJBNG8oRLS7FJH1swjSiYiI6KH03blJ5c4I+lob0fHRIrxQ346GbVmCQyQx3L0ffSta8KozOJQKjOrfWDzLq1qkvOcNFD+1CTtqqlD+VLbgcArj16fUZ4d4FONfq885m0LsehxlTyxR/cIPClGIIYxPAMsCr6JqvcwPMd6tCqz0K30lIiKi76SHPkBMxmVw1oaeTx9F1aEONG4tQWEupXF/6kfnGWDH31SI4Mjb3aT3W0pmPG8hMdqPjjd70PNmIxqPjWDK820sRSj88gRCVx1BYjyCzvMJLPFLvIfpb0T8+8gi1ScULsESxHH3npjbcwHc/H0Y4Xd7cXtrAzbN22sKiYiIaKGa8wDx/fffx/PPP6938vP8SWL8eC32nEnihUPNOFCZe3AmjV/pRwwvovwvPaqPJ25iRPwXKLKUtKXMbt4oLMai4nVoPHgABw62o2ryZRw8E1NfZireKAK1SRFMjiaMAbLd5DsJ7NhTnrWkMtNtxK6qj24WB7FjfxWqdjbiwEbeoEJERPR9NOcBYnd3N7766iu9k5/nTwFKdr2NN5+Joef1Hgz8UQVPObr7VRxYW4KVHvFhfHQA46jAulK3IrrZzRt/sQONqbuDC7DyqXJET14W8/NWvLUZL8Y70XNlGD3dcbz42gxuntEtQ2Ct+khERETk4uGuYn6kAMXPVKP50D4EvwqjrVUEazdyC9YW/bn64Ob+OAaORxF4Za93FeuM553E+LtN6LgoAlSr+F14V2YbijduQrK7E8mNL8wwODTIZZ/833dVnzAVRwzFeHQO76ImIiKih9ecB4h1dXV4/PHH9U5+fiDMYK3lAMoSuQVry5aXAxNTkLegJP80gB7ZlvCyEbTFTh/GsRXN6Kop0ft95T3vSdy8MoCRW5MiVDRM3xefih+FpVVgpntRhN4YxwvHT+KF8U703TB/na8ilDxTgvEvLWm8L0PTdSjhDSlEREQkzHmAuGXLFnz44Yd6Jz8/aEVmsJa8gM43ejB8R33hULRxL6oLjiF8JYqzlwuxr6UZLyYiCL1Ti/3RTTjZnn8Vbm7zLsbKtVWo3hqEXrt9P46Ry2Mo318Fz3D03jj6uqMof60aJYsLUFLTgLLRHvT/aWZBYmDDDpSPRhFTN8YkPh1GrGYTynJ8mg8RERF9ty2w5yAmED1zAkO3ruO9MyPAqk2oeiaIil07EJzB3bo6GQR5BXqJcYSPHkZPdAleWF+MyasjeHRPNxo3FAHJKUxNF6FopvOVvOYtgsJIVw9GsQR3/zSORysb0bA1YASMGaYQOXoBy/bI4FAN0iURPdaJyb9pRIX1FSmmLyLo+SCK+JV+DPyvQpRvFgHoMy/iwAaj7ePUaAiHz0xmvkmFiIiIvvcW6IOyvx3yodK9S95E49oCxM8PYLJyE4IMmoiIiOh75qEOEBN/GsHNLM+xXlJShkCOz/LT3zrSHUfJ0rvA8904uce7DeJcz5uIiIhooXi4SxDvJZDI0gxvUWFh7q+x+yKMl3e14ebadpx8PUuV61zPm4iIiGiBYBUzEREREdk83M9BJCIiIqI5xwCRiIiIiGwYIBIRERGRzcIMEO8nMH6uA/3XVf88mrrcgV0127GhtBSl6yux681hyHeMxM/Xp4fVNCL8hTH+vJqKoKNmF7ZvFPMtrUW/ZZ6Jq53YtW2DGL4B22teRv+f1BdEREREc2yB3aQyjvBrPYgULELifATBY6NoWK2+ytedKPr7wlj0n5tRlfUVcgkMvLYBTV824tw7O6A/SvreCDr/KY4dh/J/o4qbxMQw3guNYdXBAyjzffh2HOHWJoQvRjFZcxLn9lketRMPo3N0HRq2uj0Zm4iIiGhuLLASxBJUvdGFrtZqBNWQvMnA8HdN6LwC/Kw+l+BQKkT5xk3A9QEMyVK7+yJIOzKCil/PPjiUgWGopQnvfV6M7f+QLTgUkjHEnngVr9YUI348jBHLo3QSN8bx6EoGh0RERDS/vjttEO+MoK+1ER0fLcIL9e1o2BZEUR7BXeH6F7ADUYSvRhH9fS+w5wCCtlfb5SfxxwH0vNaI974MoPof2lG7PoDCXNIzPoZkSQAllSJIvteP9y7LCm9D7EYBVv2F6iEiIiKaJw99gJiMy8CwDT2fPoqqQx1o3FqSWyDmVFCGDT8vwPibTYiUvooq45XFeUvcEIGhSE/4qyD2vd6B2meK83pYdvxWEsGSAuCJddi0CoicuoC4/s04Ru8FsXKWJZpERERE2cx5gPj+++/j+eef1zv5ef4kMX68FnvOJPHCoWYcqJxhYJhSgJWlFfqnRxeLAM1F7Pgu9HjeODOFSMsGNN0QgaFIT3WegaEhgZtfFKNEr0UuxgsvifRc78PADdF75yYmAwFkq6EmIiIimq05DxC7u7vx1Vdf6Z38PH8KULLrbbz5TAw9r/dg4I/pqtgZkTeAjP8I1cVxHPtgRISfmQIvvYMDq1RPhiJU/MM5HCg8i8Ov92HkjhqclxhuIiD+GQo3bMeOxUZ6pqJRFJSY3xARERHNn4e7ivmRAhQ/U43mQ/sQ/CqMtlYRKN6YQaB4L4qed4C9f1eLF/6mGMn3L2PMLUIscC9ZTHmkECWVB0R6qvDopz0iPSJQjGd5YbPVxE0kn1qpeoSCMlTViPScfg+HL04jyPaHRERE9ADMeYBYV1eHxx9/XO/k5wfCDBRbDqAskWegqN+xPIR1vzTuWC7ZaNwcEr5i/X0C0cE+dLSGVXvALKyB4vVjOQeKiVtxFK+wVyLL9JQggsjXZVjJ+mUiIiJ6AOY8QNyyZQs+/PBDvZOfH7QiM1BMXkDnGz0Y9qvqvZ/AyFHHHcvq5pCBi8YDs3UTUSRWlWHJ19NqQI4sgeKSWyLAfCOMcc84MYnoKLDS+Vie5etQJdJT/MxK4/mMRERERPNsgT0oO4HomRMYunUd750ZAVZtQtUzQVTs2oHgTEvP7ovOebNIcgQ9+zpxOT6O2NcFKNrThfdfKUOBmP/wm/vR+v44pu4VIvBUMcr3v42GtWLmN0Kov7EJXdtmEaa5pUVIXOnA/rcvIfbHBAp/vA6/PNyBTU+oL4XEYCPeKmxH49osVdxEREREc2CBBYgL1/ixeoxtPIDAZDHKSlnXS0RERN9dD3WAmPjTCG5Oqh4PS0rKEHhM9czC+DsdGC4qRemmCgRdC/KSiF8fw+17qtfVIiz7yyCKWRBIREREC9jDXYJ4L4FElns/FhUWzuB5hDOTTCQwLauRfTzI9BARERHNBKuYiYiIiMjm4X4OIhERERHNOZYgPnSSiJ4+hthjj2L8iyAa9gXBJo1EREQ0l1iC+JBJftyJ3oIXUVVZje2F/Tj7hfqCiIiIaI4wQHzIJL68DTyySP/86A8SGL4+pX8mIiIimisLL0BMRNH3WiM63u5E22sdGJiXErIY+l/Zhe0bS1FauhaVO19G/5/UV8LUxSZsKBXfbdyOXS0DmNcQLDGO8Bv9iKrelFzz4Rv1PxEREdEcWWBtEKcQrjuI6V+FsEO+cu7eMNpqxlD17gGPZw/6uBNFf18Yi/5zM6qcr69Tklc7sLZuCAeOn0PtU2qgdG8EoeNJVP1dOYpm+kiabPP/YxiN/2cEBYsSGLgcRGi0AUH1lW8+fNmPpn8rQ/vOZRh+Yy36nxpE19Yi42dEREREc2BhlSCKoKn3ajD9PuLFKxEsDmFgNMvDDq1kYPa7JnReAX5W7x0cSgWl5diBOM5eHVdDhPtxhI+MoLRmhsFhrvP/cRU6urvQvisdFqb45cMTO/DLH8sAdgjTT5Zj2RK+1YWIiIjm1oIKEKdujSFeGsAS1S9COBSK+GdoPKb6fdwZQV9rIzo+WoQX6tvRsC2YPcArKEP5NiB+bhjj+gOuk4j+vhfYcwDBxfoYuZvJ/D345sOdYVxIrENtzToU3i3BplLew0xERERza2GVIMr2dCLeMW7BkAqx5IcigEtMq/5MybgMzNrQ8+mjqDrUgcatJSjMOTArQNn6HWIGx3DhegLj77Ri6CevoqpYfZ2D2c3fg18+FExj8tMRDJw+hvj6fflXvRMRERFlMecB4vvvv4/nn39e7+TnfNyeGFafcpHE+PFa7DmTxAuHmnGgcmaBmVHNnET/r7eic/FeHFhtibj+1Iddb2fcPqLMzfzd+ObDYxVo+FUVNv38AKqeYnRIREREc2/OA8Tu7m589dVXeic/52PZ8nL1KRcFKNn1Nt58Joae13sw8MeEGp6ngiCCG0W491QDmrcF1EBl+Q6883cubQR1czR/F/nlAxEREdHcWlhVzH8uuq+ncdfoE6YQnwCKC9OVrTaPFKD4mWo0H9qH4FdhtLWKQO1GvoHaJO7GgbINZSh2lgCK6Rf4lQrOyfxd5JsPRERERHNozgPEuro6PP7443onP+ej6KlylNyIwxpiTX8DrCtxlOw5mYFaywGUJfIM1KbGMXyjGGX/T3vDw8T1AfS92YZwLs9hnM38Xcw4H4iIiIjmwJwHiFu2bMGHH36od/JzXpb/DDvWjiBqPrT66xEMT1TndadukRmoJS+g840eDN9RX3hIjkcxjHUosT2OJoboV0GUPT4J79tj3OU7f1dzkA9EREREM7XAHpQtTI0g9OZ7mFxejOmJJMpeacSmJ9R3MyEfX+NWTZyIItR6GJf+ZwzjdxYh8NRKbP+Ht7DjL9T398cROjiGTb/bgTxuas7kM//+k0OYuP4e+j8GgpurUBqswO5tQehPNpzrfCAiIiLK0cILEBeKGyHU39iAA09MoviZMiNoIyIiIvoeeKgDxMSfRnBzUvV4WFJShsBjqicffwyhY7gIpaUvoGKVe9XuvM6fiIiI6FvycJcg3ksgkeUtfIsKC/3vRJ6Nb3v+RERERPOAVcxEREREZLOwnoNIRERERN8y4P8PmJDDHSv5LfkAAAAASUVORK5CYII="></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_4">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4 2 10
1 5
2 1
3 3
4 2
2 10
1 0
4 0
3 1
2 0
3 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;5
6
8
8
15
13
13
11
1
0
&quot;&quot;&quot;
    },{#test_01
        &quot;in&quot;:&quot;&quot;&quot;1 1 1
1 900924422
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;900924422
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x3064;&#x3044;&#x3067;&#x306E;E&#x554F;&#x984C;&#x3002;<br>
&#x3068;&#x308A;&#x3042;&#x3048;&#x305A;&#x611A;&#x76F4;&#x306B;&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x3067;&#x30BD;&#x30FC;&#x30C8;&#x6E08;&#x307F;&#x914D;&#x5217;&#x3092;&#x66F4;&#x65B0;&#x3059;&#x308B;&#x3088;&#x3046;&#x306A;&#x5B9F;&#x88C5;&#x306B;&#x3057;&#x3066;&#x307F;&#x305F;&#x3089;&#x3001;&#x6848;&#x306E;&#x5B9A;&#x3068;&#x3044;&#x3046;&#x304B;TLE&#x3068;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;...(<a href="https://atcoder.jp/contests/abc306/submissions/43672993">&#x3053;&#x308C;</a>&#x3068;&#x304B;<a href="https://atcoder.jp/contests/abc306/submissions/43677407">&#x3053;&#x308C;</a>&#x3068;&#x304B;<a href="https://atcoder.jp/contests/abc306/submissions/43688661">&#x3053;&#x308C;</a>)<br>
&#x2192;&#x591A;&#x5206;&#x524A;&#x9664;&#x306F;&#x9AD8;&#x901F;&#x3067;&#x3082;&#x8FFD;&#x52A0;&#x3067;&#x30C0;&#x30E1;&#x306A;&#x3093;&#x3060;&#x308D;&#x3046;&#x306A;&#x3041;&#x1F629;</p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;<a href="https://atcoder.jp/contests/abc306/editorial/6607">&#x89E3;&#x8AAC;</a>&#x3067;&#x4F7F;&#x308F;&#x308C;&#x3066;&#x3044;&#x308B;<code>multiset</code>&#x306E;Python&#x4EE3;&#x66FF;&#x3092;&#x8ABF;&#x3079;&#x307E;&#x3059;&#x3002;<br>
&#x4E0B;&#x8A18;&#x30B5;&#x30A4;&#x30C8;&#x306E;&#x30A2;&#x30A4;&#x30C7;&#x30A3;&#x30A2;&#x3092;&#x53C2;&#x8003;&#x306B;<code>heapq</code> + <code>dict</code>&#x3067;&#x524A;&#x9664;&#x6A5F;&#x80FD;&#x4ED8;&#x304D;&#x306E;heapq&#x30E9;&#x30C3;&#x30D1;&#x30FC;(<code>my_heapq</code>)&#x3092;&#x4F5C;&#x3063;&#x3066;&#x7121;&#x4E8B;AC&#x3068;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x3002;(&#x5B58;&#x5728;&#x78BA;&#x8A8D;&#x6A5F;&#x80FD;&#x306E;&#x5B9F;&#x88C5;&#x306F;&#x5272;&#x611B;&#x3002;&#x4EE3;&#x308F;&#x308A;&#x306B;&#x964D;&#x9806;&#x3067;&#x5024;&#x3092;&#x6301;&#x3066;&#x308B;&#x3088;&#x3046;&#x306B;&#x3057;&#x305F;&#x3088;&#x3002;)</p>
<p><a href="https://tsubo.hatenablog.jp/entry/2020/06/15/124657">Python&#x3067;multiset&#x306E;&#x4EE3;&#x7528;&#x304C;&#x3067;&#x304D;&#x308B;&#x30C7;&#x30FC;&#x30BF;&#x69CB;&#x9020; - Tsubo&#x306E;&#x7AF6;&#x30D7;&#x30ED;&#x30D6;&#x30ED;&#x30B0;</a></p>
<p>&#x306A;&#x304A;&#x4EE3;&#x66FF;&#x6848;&#x3068;&#x3057;&#x3066;<a href="https://ikatakos.com/pot/programming_algorithm/data_structure/balancing_binary_search_tree/tree_free">BIT&#x3092;&#x4F7F;&#x3046;&#x65B9;&#x6CD5;</a>&#x3082;&#x3042;&#x308B;&#x3088;&#x3046;&#x3067;&#x3059;&#x304C;&#x3001;&#x4ECA;&#x56DE;&#x306F;&#x5024;&#x306E;&#x7BC4;&#x56F2;&#x304C;$0 \le Y_i \le 10^9$&#x3067;&#x5148;&#x8AAD;&#x307F;&#x3082;&#x3067;&#x304D;&#x306A;&#x3044;&#x306E;&#x3067;&#x4E0D;&#x53EF;&#x3068;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;</p>
<py-cell>from heapq import *
from collections import defaultdict


class my_heapq:
        
    def __init__(self, a, reverse=False):
        self.reverse = reverse
        if reverse:
            a = [-v for v in a]
        self.a = a
        heapify(self.a)
        self.rm_list = defaultdict(int)
        
    def heappush(self, item):
        if self.reverse: item *= -1
        heappush(self.a, item)
        
    def heappop(self):
        x = heappop(self.a)
        while self.rm_list[x]:
            self.rm_list[x] -= 1
            x = heappop(self.a)
        
        if self.reverse: x *= -1
        return x
    
    def heappushpop(self, item):
        if self.reverse:
            return -heappushpop(self.a, -item)
        else:
            return heappushpop(self.a, item)
    
    def rm(self, item):
        if self.reverse: item *= -1
        self.rm_list[item] += 1
        
    def get_first(self):
        while self.rm_list[self.a[0]]:
            self.rm_list[self.a[0]] -= 1
            heappop(self.a)
        
        if self.reverse: return -self.a[0]
        else: return self.a[0]</py-cell>
<py-cell>def E():
    N, K, Q = map(int, input().split())
    A = [0] * (N + 1)
    top_k = my_heapq([0] * K) # &#x901A;&#x5E38;heap: &#x5148;&#x982D;&#x304C;&#x6700;&#x5C0F;
    others = my_heapq([0] * (N - K), reverse=True) # &#x964D;&#x9806;heap: &#x5148;&#x982D;&#x304C;&#x6700;&#x5927;
    ans = 0
    
    if N == K:
        for _ in range(Q):
            x, y = map(int, input().split())
            now = A[x]
            ans -= now
            ans += y
            A[x] = y
            print(ans)
        return
        
    for _ in range(Q):
        x, y = map(int, input().split())
        now = A[x]
        A[x] = y
        if now &gt;= top_k.get_first():
            top_k.rm(now)
            if y &gt;= others.get_first():
                # top_k&#x306B;&#x3044;&#x3066;&#x3001;&#x6B8B;&#x308B;
                ans -= now
                ans += y
                top_k.heappush(y)
            else:
                # top_k&#x306B;&#x3044;&#x3066;&#x3001;&#x5916;&#x308C;&#x308B;
                ans -= now
                new = others.heappop()
                ans += new
                top_k.heappush(new)
                others.heappush(y)
        else:
            others.rm(now)
            if y &gt; top_k.get_first():
                # top_k&#x306B;&#x304A;&#x3089;&#x305A;&#x3001;&#x5165;&#x308B;
                old = top_k.heappop()
                ans -= old
                others.heappush(old)
                ans += y
                top_k.heappush(y)
            else:
                # top_k&#x306B;&#x304A;&#x3089;&#x305A;&#x3001;&#x5165;&#x3089;&#x306A;&#x3044;
                others.heappush(y)
        
        print(ans)
</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc306/submissions/43688460">#43688460</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
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<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC302の振り返り]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc302"><div class="kg-bookmark-content"><div class="kg-bookmark-title">TOYOTA MOTOR CORPORATION Programming Contest 2023#2 (AtCoder Beginner Contest 302) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.</py-cell>]]></description><link>https://arakaki.tokyo/abc302/</link><guid isPermaLink="false">64a186c8bdd7d00001f5ea25</guid><category><![CDATA[競プロ]]></category><category><![CDATA[python]]></category><category><![CDATA[実装力]]></category><category><![CDATA[深さ優先探索]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 02 Jul 2023 14:21:06 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc302"><div class="kg-bookmark-content"><div class="kg-bookmark-title">TOYOTA MOTOR CORPORATION Programming Contest 2023#2 (AtCoder Beginner Contest 302) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="A%20-%20Attack"><a href="https://atcoder.jp/contests/abc302/tasks/abc302_a">A - Attack</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>A</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataA = [
    {
        &quot;in&quot;:&quot;&quot;&quot;7 3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;123456789123456789 987654321
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;124999999
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;999999999999999998 2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;499999999999999999
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def A():
    pass

test_all(A)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x300C;B&#x3067;&#x5272;&#x3063;&#x3066;&#x5C11;&#x6570;&#x70B9;&#x4EE5;&#x4E0B;&#x306F;&#x5207;&#x308A;&#x4E0A;&#x3052;&#x305F;&#x3089;&#x3048;&#x3048;&#x3084;&#x3093;&#xFF01;&#x697D;&#x52DD;&#xFF5E;&#x300D;&#x3068;&#x601D;&#x3063;&#x3066;&#x5B9F;&#x88C5;&#x3057;&#x305F;&#x3089;3&#x3064;&#x76EE;&#x306E;&#x30C6;&#x30B9;&#x30C8;&#x30B1;&#x30FC;&#x30B9;&#x3067;&#x3073;&#x3063;&#x304F;&#x308A;&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;&#x78BA;&#x8A8D;&#x5927;&#x4E8B;&#x3002;</p>
<py-cell>import math</py-cell>
<py-cell>A, B = map(int, test_dataA[-1][&quot;in&quot;].split())
math.ceil(A/B)</py-cell>
<p>&#x305D;&#x3082;&#x305D;&#x3082;$\frac{A}{B}$&#x306E;&#x6642;&#x70B9;&#x3067;&#x30FB;&#x30FB;&#x30FB;</p>
<py-cell>print(f&quot;{A/B:f}&quot;)</py-cell>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3001;&#x5834;&#x5F53;&#x305F;&#x308A;&#x7684;&#x306B;<a href="https://docs.python.org/ja/3/library/decimal.html">decimal</a>&#x30E2;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x4F7F;&#x3063;&#x3066;AC.<br>
&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>def A():
    import math
    from decimal import Decimal

    A, B = map(int, input().split())

    print(math.ceil(Decimal(A)/B))</py-cell>
<py-cell>test_all(A)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/41544181">#41544181</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E7%90%86%E8%A7%A3%E3%81%99%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x7406;&#x89E3;&#x3059;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc302/editorial/6407">&#x89E3;&#x8AAC;</a>&#x66F0;&#x304F;&#x3001;&#x300C;$\frac{A}{B}$&#x306E;&#x5207;&#x308A;&#x4E0A;&#x3052;&#x306F;&#x3001;$\frac{A + B - 1}{B}$&#x306E;&#x5207;&#x308A;&#x6368;&#x3066;&#x3068;&#x7B49;&#x3057;&#x3044;&#x300D;&#x3068;&#x306E;&#x3053;&#x3068;&#x3002;<br>
&#x4EE5;&#x4E0B;&#x78BA;&#x8A8D;&#x3057;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;</p>
<p>&#x6574;&#x6570;$x, y$&#x3092;&#x7528;&#x3044;&#x3066;&#x4EE5;&#x4E0B;&#x306E;&#x3088;&#x3046;&#x306A;&#x6574;&#x6570;$a, b$&#x306B;&#x3064;&#x3044;&#x3066;&#x8003;&#x3048;&#x307E;&#x3059;&#x3002;<br>
$a = bx + y\:(0 \le y \lt b)$</p>
<p>&#x3053;&#x3053;&#x3067;&#x3001;$\frac{a}{b}$&#x306E;&#x5207;&#x308A;&#x4E0A;&#x3052;&#x306F;&#x4EE5;&#x4E0B;&#x306E;&#x3088;&#x3046;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;</p>
<div>$$ \left\lceil \frac{a}{b} \right\rceil = 
\begin{cases}
x &amp; (y= 0)\\
x + 1 &amp; (y &gt; 0)
\end{cases}
$$</div>

<p>&#x89E3;&#x8AAC;&#x306E;&#x5F0F;&#x3092;&#x898B;&#x3066;&#x3044;&#x304F;&#x3068;&#x3001;</p>
<div>$$
\begin{align}
&amp; \left\lfloor \frac{a + b - 1}{b} \right\rfloor \\
= \:\:&amp; \left\lfloor \frac{(x + 1)b + y - 1}{b} \right\rfloor \\
= \:\:&amp; x + \left\lfloor 1 + \frac{y - 1}{b} \right\rfloor \\
\end{align}
$$</div>
<p>$y &lt; b$&#x306A;&#x306E;&#x3067;$\frac{y - 1}{b}$&#x306E;&#x53D6;&#x308A;&#x3046;&#x308B;&#x7BC4;&#x56F2;&#x306F;</p>
<div>$$
\begin{cases}
-1 \le \frac{y - 1}{b} &lt; 0 &amp; (y= 0)\\
0 \le \frac{y - 1}{b} &lt; 1 &amp; (y &gt; 0)
\end{cases}
$$</div>
<p>&#x306A;&#x306E;&#x3067;&#x3001;</p>
<div>$$\left\lfloor 1 + \frac{y - 1}{b} \right\rfloor = 
\begin{cases}
0 &amp; (y= 0)\\
1 &amp; (y &gt; 0)
\end{cases}
$$</div>
<p>&#x3068;&#x306A;&#x308A;&#x3001;&#x7D50;&#x679C;&#x3068;&#x3057;&#x3066;</p>
<div>$$ \left\lceil \frac{a}{b} \right\rceil = \left\lfloor \frac{a + b - 1}{b} \right\rfloor
$$</div>

<p>&#x304C;&#x6210;&#x308A;&#x7ACB;&#x3064;&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3059;&#x306D;&#x3002;<br>
&#x5929;&#x624D;&#x304B;&#x3088;&#x3002;</p>
<h3 id="Python%E3%81%AEint%E5%9E%8B%E3%81%A8float%E5%9E%8B%E3%81%AE%E7%B2%BE%E5%BA%A6">Python&#x306E;int&#x578B;&#x3068;float&#x578B;&#x306E;&#x7CBE;&#x5EA6;</h3>
<p><a href="https://arakaki.tokyo/abc262/#%E4%BB%96%E3%81%AE%E4%BA%BA%E3%81%AE%E5%9B%9E%E7%AD%94">ABC262&#x306E;A&#x554F;&#x984C;</a>&#x3067;&#x3082;&#x53D6;&#x308A;&#x4E0A;&#x3052;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;Python&#x306E;int&#x578B;&#x306B;&#x7CBE;&#x5EA6;&#x306E;&#x5236;&#x9650;&#x306F;&#x3042;&#x308A;&#x307E;&#x305B;&#x3093;&#x3002;&#x5BFE;&#x3057;&#x3066;float&#x578B;&#x306F;&#x5927;&#x4F53;&#x500D;&#x7CBE;&#x5EA6;&#x6D6E;&#x52D5;&#x5C0F;&#x6570;&#x70B9;&#x3067;&#x3059;&#x3002;<br>
&#x53C2;&#x7167;&#xFF09;<a href="https://docs.python.org/ja/3/library/stdtypes.html#:~:text=%E6%95%B4%E6%95%B0%E3%81%AB%E3%81%AF%E7%B2%BE%E5%BA%A6%E3%81%AE%E5%88%B6%E9%99%90%E3%81%8C%E3%81%82%E3%82%8A%E3%81%BE%E3%81%9B%E3%82%93%E3%80%82%E6%B5%AE%E5%8B%95%E5%B0%8F%E6%95%B0%E7%82%B9%E5%9E%8B%E3%81%AF%E3%81%9F%E3%81%84%E3%81%A6%E3%81%84%E3%81%AF%20C%20%E3%81%AE%20double%20%E3%82%92%E4%BD%BF%E3%81%A3%E3%81%A6%E5%AE%9F%E8%A3%85%E3%81%95%E3%82%8C%E3%81%A6%E3%81%84%E3%81%BE%E3%81%99">&#x7D44;&#x307F;&#x8FBC;&#x307F;&#x578B; &#x2014; Python 3.11.4 &#x30C9;&#x30AD;&#x30E5;&#x30E1;&#x30F3;&#x30C8;</a></p>
<p>&#x79C1;&#x306E;&#x6700;&#x521D;&#x306E;&#x8003;&#x3048;&#x306E;&#x3088;&#x3046;&#x306B;&#x300C;&#x5C0F;&#x6570;&#x70B9;&#x4EE5;&#x4E0B;&#x3092;&#x5207;&#x308A;&#x4E0A;&#x3052;&#x300D;&#x3057;&#x3088;&#x3046;&#x3068;&#x3059;&#x308B;&#x3068;&#x500D;&#x7CBE;&#x5EA6;&#x6D6E;&#x52D5;&#x5C0F;&#x6570;&#x70B9;&#x3067;&#x306E;&#x6F14;&#x7B97;&#x306B;&#x306A;&#x3063;&#x3066;&#x3057;&#x307E;&#x3044;&#x3001;&#xFF13;&#x3064;&#x76EE;&#x306E;&#x30C6;&#x30B9;&#x30C8;&#x30B1;&#x30FC;&#x30B9;&#x3067;&#x306F;&#x8868;&#x73FE;&#x53EF;&#x80FD;&#x306A;&#x7BC4;&#x56F2;&#x3092;&#x8D85;&#x3048;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3059;&#x3002;<br>
&#x500D;&#x7CBE;&#x5EA6;&#x6D6E;&#x52D5;&#x5C0F;&#x6570;&#x70B9;&#x3067;&#x8868;&#x73FE;&#x3067;&#x304D;&#x308B;&#x6574;&#x6570;&#x306F;&#x305B;&#x3044;&#x305C;&#x3044;15&#x6841;&#x307E;&#x3067;&#x3067;&#x3059;&#x3002;&#xFF08;&#x53C2;&#x7167;&#xFF1A;<a href="https://docs.python.org/ja/3/library/sys.html#sys.float_info">sys.float_info.dig</a>&#xFF09;</p>
<py-cell>import sys
# &#x6D6E;&#x52D5;&#x5C0F;&#x6570;&#x70B9;&#x6570;&#x3067;&#x6B63;&#x78BA;&#x306B;&#x8868;&#x793A;&#x3067;&#x304D;&#x308B;&#x6700;&#x5927;&#x306E;10&#x9032;&#x6570;&#x6841;
sys.float_info.dig</py-cell>
<p>&#x4E00;&#x65B9;int&#x578B;&#x306E;&#x9664;&#x7B97;&#x3067;&#x3042;&#x308C;&#x3070;&#x3001;&#x7CBE;&#x5EA6;&#x306E;&#x5236;&#x9650;&#x306A;&#x304F;&#x3001;&#x304B;&#x3064;&#x30C7;&#x30D5;&#x30A9;&#x30EB;&#x30C8;&#x3067;&#x5207;&#x308A;&#x6368;&#x3066;&#x306E;&#x6319;&#x52D5;&#x3068;&#x306A;&#x308B;&#x306E;&#x3067;&#x3001;&#x89E3;&#x8AAC;&#x306E;&#x3088;&#x3046;&#x306A;&#x5F0F;&#x306B;&#x5909;&#x63DB;&#x3059;&#x308B;&#x3053;&#x3068;&#x3067;&#x89E3;&#x304C;&#x5F97;&#x3089;&#x308C;&#x308B;&#x3068;&#x3044;&#x3046;&#x8A33;&#x306A;&#x3093;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<p>A&#x554F;&#x984C;&#x3001;&#x52C9;&#x5F37;&#x306B;&#x306A;&#x308B;&#x306A;&#x3041;&#xFF5E;</p>
<h2 id="B%20-%20Find%20snuke"><a href="https://atcoder.jp/contests/abc302/tasks/abc302_b">B - Find snuke</a></h2>
<p>&#x7565;</p>
<p>&#x6DF1;&#x3055;&#x512A;&#x5148;&#x63A2;&#x7D22;&#x3063;&#x307D;&#x304F;&#x518D;&#x5E30;&#x95A2;&#x6570;&#x3067;&#x5B9F;&#x88C5;&#x3002;<br>
&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/41558048">#41558048</a><br>
&#x632F;&#x308A;&#x8FD4;&#x308A;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/43176130">#43176130</a></p>
<h2 id="C%20-%20Almost%20Equal"><a href="https://atcoder.jp/contests/abc302/tasks/abc302_c">C - Almost Equal</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4 4
bbed
abcd
abed
fbed
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 5
abcde
abced
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;8 4
fast
face
cast
race
fact
rice
nice
case
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x300C;&#x3053;&#x308C;&#x306F;&#x4E00;&#x7B46;&#x66F8;&#x304D;&#x306E;&#x5224;&#x5B9A;&#x306A;&#x306E;&#x3067;&#x306F;&#xFF1F;&#x300D;&#x3068;&#x8003;&#x3048;&#x3066;&#x30B0;&#x30B0;&#x308B;&#x3068;&#x300C;&#x6B21;&#x6570;&#x304C;&#x5947;&#x6570;&#x306E;&#x9802;&#x70B9;&#x304C;0&#x307E;&#x305F;&#x306F;2&#x3067;&#x3042;&#x308C;&#x3070;&#x4E00;&#x7B46;&#x66F8;&#x304D;&#x3067;&#x304D;&#x308B;&#x300D;&#x3068;&#x306E;&#x3053;&#x3068;&#x3067;<a href="https://atcoder.jp/contests/abc302/submissions/41572028">&#x5B9F;&#x88C5;&#x3057;&#x305F;&#x3089;WA</a>...&#x3002;<br>
&#x304A;&#x3068;&#x306A;&#x3057;&#x304F;<a href="https://atcoder.jp/contests/abc302/submissions/41574637">&#x5E45;&#x512A;&#x5148;&#x63A2;&#x7D22;&#x3067;&#x5B9F;&#x88C5;&#x3057;&#x3066;AC</a>&#x3068;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;&#x5B9F;&#x306F;&#x305D;&#x308C;&#x3082;&#x8AA4;&#x308A;&#x3067;After contest&#x306E;&#x30C6;&#x30B9;&#x30C8;&#x30B1;&#x30FC;&#x30B9;&#x3067;<a href="https://atcoder.jp/contests/abc302/submissions/43178902">WA</a>&#x3068;&#x306A;&#x308A;&#x307E;&#x3059;&#x2026;&#x3002;</p>
<p>&#x307E;&#x305A;&#x300C;&#x4E00;&#x7B46;&#x66F8;&#x304D;&#x300D;&#x306B;&#x3064;&#x3044;&#x3066;&#x3067;&#x3059;&#x304C;&#x3001;&#x7D50;&#x8AD6;&#x304B;&#x3089;&#x8A00;&#x3048;&#x3070;&#x305D;&#x306E;&#x5224;&#x5B9A;&#x306F;&#x672C;&#x554F;&#x3067;&#x306F;&#x5F53;&#x3066;&#x306F;&#x307E;&#x308A;&#x307E;&#x305B;&#x3093;&#x3002;<br>
&#x306A;&#x305C;&#x306A;&#x3089;&#x4E00;&#x7B46;&#x66F8;&#x304D;&#x5224;&#x5B9A;&#x306F;<strong>&#x3059;&#x3079;&#x3066;&#x306E;&#x8FBA;&#x3092;&#x901A;&#x308B;&#x6761;&#x4EF6;&#xFF08;&#x9802;&#x70B9;&#x306F;&#x4F55;&#x5EA6;&#x901A;&#x3063;&#x3066;&#x3082;&#x826F;&#x3044;&#xFF09;</strong>&#x3067;&#x3042;&#x308B;&#x306E;&#x306B;&#x5BFE;&#x3057;&#x3066;&#x3001;&#x672C;&#x554F;&#x3067;&#x306F;<strong>&#x3059;&#x3079;&#x3066;&#x306E;&#x9802;&#x70B9;&#x3092;&#x4E00;&#x5EA6;&#x3060;&#x3051;&#x901A;&#x308B;&#x6761;&#x4EF6;</strong>&#x304C;&#x5FC5;&#x8981;&#x3060;&#x304B;&#x3089;&#x3067;&#x3059;&#x3002;<br>
<a href="https://atcoder.jp/contests/abc302/editorial/6419">&#x89E3;&#x8AAC; by wasd314</a>&#x306B;&#x3088;&#x308B;&#x3068;&#x3001;&#x305D;&#x306E;&#x3088;&#x3046;&#x306A;&#x8DEF;&#x306F;<a href="https://ja.wikipedia.org/wiki/%E3%83%8F%E3%83%9F%E3%83%AB%E3%83%88%E3%83%B3%E8%B7%AF">&#x30CF;&#x30DF;&#x30EB;&#x30C8;&#x30F3;&#x8DEF;</a>&#x3068;&#x8A00;&#x3044;&#x3001;&#x300C;&#x30CF;&#x30DF;&#x30EB;&#x30C8;&#x30F3;&#x30B0;&#x30E9;&#x30D5;&#x304B;&#x3069;&#x3046;&#x304B;&#x3092;&#x5224;&#x5B9A;&#x3059;&#x308B;&#x7C21;&#x5358;&#x306A;&#x5B9A;&#x7406;&#x306F;&#x898B;&#x3064;&#x304B;&#x3063;&#x3066;&#x3044;&#x306A;&#x3044;&#x300D;&#x3088;&#x3046;&#x3067;&#x3059;&#x3002;  </p>
<p>&#x5B89;&#x6613;&#x306B;&#x305D;&#x308C;&#x3063;&#x307D;&#x3044;&#x30A2;&#x30EB;&#x30B4;&#x30EA;&#x30BA;&#x30E0;&#x306B;&#x5E30;&#x7740;&#x3055;&#x305B;&#x3066;&#x306F;&#x3044;&#x3051;&#x306A;&#x3044;&#x3068;&#x3044;&#x3046;&#x3001;&#x6559;&#x8A13;&#x3092;&#x5F97;&#x307E;&#x3057;&#x305F;&#x1F607;</p>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3001;&#x5E45;&#x512A;&#x5148;&#x63A2;&#x7D22;&#x3092;&#x6DF1;&#x3055;&#x512A;&#x5148;&#x63A2;&#x7D22;&#x306B;&#x66F8;&#x304D;&#x63DB;&#x3048;&#x305F;&#x306E;&#x4EE5;&#x4E0B;&#x3002;(&#x3053;&#x306E;&#x74B0;&#x5883;&#x7528;&#x306B;&#x82E5;&#x5E72;&#x5197;&#x9577;&#x306A;&#x8A18;&#x8FF0;&#x306B;&#x306A;&#x3063;&#x3066;&#x307E;&#x3059;&#x3002;)</p>
<py-cell>def C():
    from collections import defaultdict
    from itertools import combinations

    N, M = map(int, input().split())

    S = [input() for _ in range(N)]

    edge = defaultdict(list)
    for i, j in combinations(range(N), 2):
        if sum(1 for c1, c2 in zip(S[i], S[j]) if c1 != c2) == 1:
            edge[j].append(i)
            edge[i].append(j)
            
    route = []
    def search(x):
        route.append(x)
        if len(route) == N:
            print(&quot;Yes&quot;)
            return True
        
        ret = any(search(nxt) for nxt in edge[x] if nxt not in route)

        route.pop()
        return ret
    
    for i in range(N): 
        if search(i):
            break
    else:
        print(&quot;No&quot;)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/43181323">#43181323</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc302/editorial/6408">&#x516C;&#x5F0F;&#x89E3;&#x8AAC;</a>&#x3067;&#x306F;&#x611A;&#x76F4;&#x306A;&#x5168;&#x63A2;&#x7D22;&#x3067;&#x554F;&#x984C;&#x306A;&#x3044;&#x3068;&#x2026;<br>
&#x300C;&#x5236;&#x7D04;&#x304C;&#x5C0F;&#x3055;&#x3051;&#x308C;&#x3070;&#x5168;&#x63A2;&#x7D22;&#x300D;&#x306F;&#x57FA;&#x672C;&#x3067;&#x3057;&#x305F;&#x306D;&#x1F607;</p>
<py-cell>def C():
    from itertools import permutations

    N, M = map(int, input().split())
    S = [input() for _ in range(N)]

    for p in permutations(S):
        for i in range(1, N):
            if sum([1 for a, b in zip(p[i], p[i - 1]) if a != b]) != 1: break
        else:
            print(&quot;Yes&quot;)
            return
    print(&quot;No&quot;)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/43181911">#43181911</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Impartial%20Gift"><a href="https://atcoder.jp/contests/abc302/tasks/abc302_d">D - Impartial Gift</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;2 3 2
3 10
2 5 15
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;8
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3 3 0
1 3 3
6 2 7
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;-1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1 1 1000000000000000000
1000000000000000000
1000000000000000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;2000000000000000000
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;8 6 1
2 5 6 5 2 1 7 9
7 2 5 5 2 4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;14
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_3">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x5358;&#x7D14;&#x306A;&#x8CAA;&#x6B32;&#x6CD5;&#x3067;&#x300C;&#x8D08;&#x308A;&#x7269;&#x306E;&#x4FA1;&#x5024;&#x306E;&#x548C;&#x300D;&#x304C;&#x5927;&#x304D;&#x3044;&#x30D1;&#x30BF;&#x30FC;&#x30F3;&#x304B;&#x3089;&#x898B;&#x3066;&#x3044;&#x304D;&#x3001;&#x4FA1;&#x5024;&#x306E;&#x5DEE;&#x304C;D&#x4EE5;&#x4E0B;&#x3067;&#x3042;&#x308C;&#x3070;&#x56DE;&#x7B54;&#x3057;&#x307E;&#x3059;&#x3002;</p>
<py-cell>def D():
    N, M, D = map(int, input().split())
    (*A,) = sorted(map(int, input().split()))
    (*B,) = sorted(map(int, input().split()))

    n = N - 1
    m = M - 1

    while n &gt;= 0 and m &gt;= 0:
        if abs(A[n] - B[m]) <= d: print(a[n] + b[m]) return elif a[n]> B[m]:
            n -= 1
        else:
            m -= 1

    print(-1)</=></py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/41577462">#41577462</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Isolation"><a href="https://atcoder.jp/contests/abc302/tasks/abc302_e">E - Isolation</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_4">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 7
1 1 2
1 1 3
1 2 3
2 1
1 1 2
2 2
1 1 2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1
0
0
1
0
3
1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 1
2 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;2
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="try">try</h3>
<p>&#x305B;&#x3063;&#x304B;&#x304F;&#x306A;&#x306E;&#x3067;E&#x554F;&#x984C;&#x3082;&#x3084;&#x3063;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;<br>
&#x3068;&#x8A00;&#x3044;&#x3064;&#x3064;&#x529B;&#x5C3D;&#x304D;&#x305F;&#x306E;&#x3067;&#x65E9;&#x901F;<a href="https://atcoder.jp/contests/abc302/editorial/6410">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;&#x3069;&#x3046;&#x305B;&#x4FFA;&#x304C;&#x307E;&#x3060;&#x77E5;&#x3089;&#x306A;&#x3044;&#x30A2;&#x30EB;&#x30B4;&#x30EA;&#x30BA;&#x30E0;&#x3068;&#x304B;&#x4F7F;&#x3063;&#x3066;&#x3093;&#x3060;&#x308D;&#xFF01;</p>
<p>&#x3068;&#x601D;&#x3044;&#x304D;&#x3084;&#x3001;&#x610F;&#x5916;&#x306B;&#x3082;&#x7D20;&#x76F4;&#x306A;&#x8003;&#x3048;&#x65B9;&#x3067;&#x30A4;&#x30B1;&#x308B;&#x3063;&#x307D;&#x3044;&#xFF1F;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x89E3;&#x8AAC;&#x306E;&#x6587;&#x7AE0;&#x3060;&#x3051;&#x30AB;&#x30F3;&#x30CB;&#x30F3;&#x30B0;&#x3057;&#x3066;&#x5B9F;&#x88C5;&#x3057;&#x3066;&#x307F;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def E():
    from collections import defaultdict

    N, Q = map(int, input().split())

    edge = defaultdict(set)
    ans = N

    for _ in range(Q):
        type, *args = map(int, input().split())
        if type == 1:
            u, v = args
            for x in [u, v]:
                if not edge[x]:
                    ans -= 1
            edge[u].add(v)
            edge[v].add(u)
            print(ans)
        else:
            v = args[0]
            for x in edge[v]:
                edge[x].remove(v)
                if not edge[x]:
                    ans += 1
            if edge[v]:
                edge[v] = set()
                ans += 1
            print(ans)</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc302/submissions/43200104">#43200104</a></p>
<p>&#x3061;&#x306A;&#x307F;&#x306B;<a href="https://atcoder.jp/contests/abc302/submissions/43199990">Python&#x3067;&#x306E;&#x63D0;&#x51FA;</a>&#x3067;&#x306F;TLE&#x3068;&#x306A;&#x3063;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3059;&#x3002;<br>
&#x3084;&#x3063;&#x3071;&#x30C7;&#x30D5;&#x30A9;&#x30EB;&#x30C8;PyPy&#x306E;&#x307B;&#x3046;&#x304C;&#x3044;&#x3044;&#x306A;&#x3002;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC301の振り返り]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><p></p><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err</py-cell>]]></description><link>https://arakaki.tokyo/abc301/</link><guid isPermaLink="false">648d9e6cbc63fe0001cd8a9e</guid><category><![CDATA[競プロ]]></category><category><![CDATA[宿題]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 25 Jun 2023 08:34:30 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><p></p><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="B%20-%20Fill%20the%20Gaps"><a href="https://atcoder.jp/contests/abc301/tasks/abc301_b">B - Fill the Gaps</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>B</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataB = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4
2 5 1 2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;2 3 4 5 4 3 2 1 2
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;6
3 4 5 6 5 4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3 4 5 6 5 4
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def B():
    pass

test_all(B)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>def B():
    N = int(input())
    (*A,) = map(int, input().split())

    print(A[0], end=&quot; &quot;)
    for i, a in enumerate(A[1:]):
        if abs(a - A[i]) &gt; 1:
            if a &gt; A[i]:
                print(*range(A[i] + 1, a), end=&quot; &quot;)
            else:
                print(*range(A[i] - 1, a, -1), end=&quot; &quot;)
        print(a, end=&quot; &quot;)</py-cell>
<py-cell>test_all(B)

# &#x672B;&#x5C3E;&#x306E;&#x7121;&#x99C4;&#x306A;&#x30B9;&#x30DA;&#x30FC;&#x30B9;&#x304C;&#x3042;&#x308B; &amp; &#x6539;&#x884C;&#x304C;&#x306A;&#x3044;&#x306E;&#x3067;&#x3053;&#x3053;&#x3067;&#x306F;WA&#x3067;&#x3059;&#x304C;Atcoder&#x4E0A;&#x3067;&#x306F;AC&#x5224;&#x5B9A;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc301/submissions/41357753">#41357753</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
Boolean&#x3067;&#x3046;&#x307E;&#x3044;&#x3053;&#x3068;&#xB1;1&#x3060;&#x3051;&#x3068;&#x308C;&#x306A;&#x3044;&#x304B;&#x306A;&#x3041;&#x3068;&#x3084;&#x3063;&#x3066;&#x307F;&#x305F;&#x3002;</p>
<py-cell>def B():
    N = int(input())
    (*A,) = map(int, input().split())

    now = A[0]
    print(now, end=&quot;&quot;)

    for a in A[1:]:
        while now != a:
            now += (a &gt; now) * 2 - 1
            print(&quot;&quot;, now, end=&quot;&quot;)
    print()</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc301/submissions/42306898">#42306898</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="C%20-%20AtCoder%20Cards"><a href="https://atcoder.jp/contests/abc301/tasks/abc301_c">C - AtCoder Cards</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;ch@ku@ai
choku@@i
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;ch@kud@i
akidu@ho
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;aoki
@ok@
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;aa
bb
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x7D50;&#x679C;&#x3001;<a href="https://atcoder.jp/contests/abc301/submissions/41375154">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;AC&#x63D0;&#x51FA;</a>&#x3068;&#x307B;&#x3068;&#x3093;&#x3069;&#x540C;&#x3058;(&#x3061;&#x3087;&#x3063;&#x3068;&#x30B9;&#x30C3;&#x30AD;&#x30EA;)&#x306B;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<py-cell>def C():
    from collections import defaultdict
    from string import ascii_lowercase as abc

    S = input()
    T = input()

    s_chars = defaultdict(int)
    t_chars = defaultdict(int)

    for s, t in zip(S, T):
        s_chars[s] += 1
        t_chars[t] += 1
        
    for char in abc:
        s = s_chars[char]
        t = t_chars[char]
        
        if char in &quot;atcoder&quot;:
            if s &gt; t:
                t_chars[&quot;@&quot;] -= s - t
            elif t &gt; s:
                s_chars[&quot;@&quot;] -= t - s
        else:
            if s != t:
                print(&quot;No&quot;)
                return
            
    print(&quot;Yes&quot; if t_chars[&quot;@&quot;] &gt;= 0 and s_chars[&quot;@&quot;] &gt;= 0 else &quot;No&quot;)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc301/submissions/42307631">#42307631</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Bitmask"><a href="https://atcoder.jp/contests/abc301/tasks/abc301_d">D - Bitmask</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;?0?
2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;101
4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;-1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;?0?
1000000000000000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;5
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_3">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x300C;&#x3088;&#x304F;&#x5206;&#x304B;&#x3093;&#x306D;&#x3047;&#xFF5E;&#x300D;&#x3068;&#x601D;&#x3063;&#x3066;&#x30BD;&#x30C3;&#x30B3;&#x30FC;&#x3067;&#x8AE6;&#x3081;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;&#x4ECA;&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;&#x307F;&#x308B;&#x3068;&#x30D5;&#x30C4;&#x30FC;&#x306B;&#x89E3;&#x3051;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x524D;&#x3005;&#x56DE;&#x3050;&#x3089;&#x3044;&#x304B;&#x3089;&#x3001;&#x60F0;&#x6027;&#x3067;&#x53C2;&#x52A0;&#x3057;&#x3066;&#x305F;&#x306E;&#x304C;&#x3088;&#x304F;&#x5206;&#x304B;&#x308B;&#x30FB;&#x30FB;&#x30FB;&#x1F607;</p>
<py-cell>def D():
    S = input()[::-1]
    N = int(input())
    
    ex2 = {0: 1}
    now = 0
    for i in range(len(S)):
        if S[i] == &quot;1&quot;: now += ex2[i]
        ex2[i + 1] = ex2[i] * 2
        
    if now &gt; N:
        print(-1)
        return
    elif now == N:
        print(N)
        return
    
    for i in range(len(S) - 1, -1, -1):
        if S[i] == &quot;?&quot; and ex2[i] + now <= n: now +="ex2[i]" print(now) < py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Pac-Takahashi"><a href="https://atcoder.jp/contests/abc301/tasks/abc301_e">E - Pac-Takahashi</a></h2>
<p>&#x3055;&#x3063;&#x305D;&#x304F;<a href="https://atcoder.jp/contests/abc301/tasks/abc301_e/editorial">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;<br>
&#x5DE1;&#x56DE;&#x30BB;&#x30FC;&#x30EB;&#x30B9;&#x30DE;&#x30F3;&#x554F;&#x984C;&#x3002;&#x3002;&#x300C;&#x30A2;&#x30EB;&#x30B4;&#x30EA;&#x30BA;&#x30E0;&#x300D;&#x306E;&#x8A71;&#x984C;&#x3067;&#x3088;&#x304F;&#x51FA;&#x3066;&#x304F;&#x308B;&#x306E;&#x3067;&#x540D;&#x524D;&#x3060;&#x3051;&#x306F;&#x77E5;&#x3063;&#x3066;&#x307E;&#x3059;&#x304C;&#x3001;&#x6025;&#x306B;&#x5B9F;&#x88C5;&#x3057;&#x308D;&#x3068;&#x306A;&#x308B;&#x3068;&#x56F0;&#x308B;&#x1F62B;</p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3082;&#x3063;&#x3068;&#x5143;&#x6C17;&#x306A;&#x3068;&#x304D;&#x306E;&#x5BBF;&#x984C;&#x3068;&#x3057;&#x307E;&#x3059;&#x3002;</p>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
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<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html--></=></py-cell>]]></content:encoded></item><item><title><![CDATA[ABC300の振り返り]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc300"><div class="kg-bookmark-content"><div class="kg-bookmark-title">UNIQUE VISION Programming Contest 2023 Spring(AtCoder Beginner Contest 300) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.</py-cell>]]></description><link>https://arakaki.tokyo/abc300/</link><guid isPermaLink="false">6497e0ccea50660001835f10</guid><category><![CDATA[競プロ]]></category><category><![CDATA[実装力]]></category><category><![CDATA[幅優先探索]]></category><category><![CDATA[MOD]]></category><category><![CDATA[確率]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 25 Jun 2023 06:48:27 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc300"><div class="kg-bookmark-content"><div class="kg-bookmark-title">UNIQUE VISION Programming Contest 2023 Spring(AtCoder Beginner Contest 300) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="C%20-%20Cross"><a href="https://atcoder.jp/contests/abc300/tasks/abc300_c">C - Cross</a></h2>
<p><img alt src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzwAAAOpCAYAAADfXSIeAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAP+lSURBVHhe7P0PeFTHmeeLfxNmxA2zYj0/6YfvFXf80Alrcb2P22Qlrm1EeEKHiTB+kJxZTDwguEFingH8iyTnDjh3kDQ3Et4YsTGSNgh2g9pjJPwA9pOomTWgNbRnGDVrW5oBNU941FlC67EfaS5c9bWv2iGrHsj5VZ1Tp/v879OtlhDi/fAU6jp9+pyqt96qet+qOnW+JDFAEARBEARBEAQxB/my+EsQBEEQBEEQBDHnIIeHIAiCIAiCIIg5Czk8BEEQBEEQBEHMWcjhIQiCIAiCIAhizkIOD0EQBEEQBEEQcxZyeAiCIAiCIAiCmLOQw0MQBEEQBEEQxJzlAXd4wmgrLUUpC3VnYuIYQRAEQRAEQRCEgvWLR6+2oXRHj4joKWvqQ3vFKHM0qmF9RhX8g/Xw8o+3A6hb34KQfNxIGRqbPGhptr6KzMpG9HVUokBEzXCHR0mHki77MwmCIAiCIAiCePhIM8PDnZdBDLLg3yYO6WBOy1nl+8FjVeKYBdxxEdcZHPSzqxIEQRAEQRAEQUw/93eG52w7KhcpsXDHSlQfZ78+dhn1y5VjCjEEasvRcllEs6Dq2KDhmgRBEARBEARBPAzc5xme1DM41ccTLJ5Azw4lXlraxr4lCIIgCIIgCILInpnZtOByC8qFY1NqOTOUcqwGzzYyN0pLASo7lO8+eM0njvmw/4LqQGnCRyewu0g5I++7R3BZHKfZHYIgCIIgCIJ4OJneJW1pSW06YMbiOokBtK7dhdN3gKJtfrxb60We+IoTv9CA8h+eRwJF2H38DKqfEF8QBEEQBEEQBPFQ4npJmxqUndC8qDccNy9pSy1Xswt1Z6LiXKcZHg15K1DzF8q3Y8db0HmVL4MT3BlAVwd3dthp5fV4kZwdgiAIgiAIgnjocbWkLdxh7bAooQ6B2+LErOlBtXo9200OFAqer8feJ/mnKHpq9yAwxj7eG0OgoQ49/POCMrz6sg/5/BSCIAiCIAiCIB5qpvEZHsMskDoDpNnAoL3CoxxzO8PDmefBptfYOQvY5zshtNS2oO21OrRckud2UPYXr6JSPMdDEARBEARBEMTDTWYOzzZ/yoFJ55hw+LbUfNamNoCYOKTdwKDtqjiWwQyPTFElDnZUQXaXRgLokZfG5aF4x1EcrCBvhyAIgiAIgiAIhZnZpa2o0HqJ2Z1ClNWuQ/ECwMOcqcuX/KhawlyXxyvReLzGceODyQUeeNm5Ou7EEb8nPhMEQRAEQRAE8dCTmcNzvFo8t+NyJuaTqHJOZABDY2KDAXVJ27v1GKitwK6O84jcyYenaD4mf68Qy7weJH4VQMu2NVjTFEzNDAniIyH4f1CO8s0tCIwwR6liP468VsmcpgQib9ehvHwX/B+NIUGOD0EQBEEQBEE89ORuhueu+JskgYEPTisfr/VgV5P4nJjE+OdxxIvKUFnqxbod+3Hiwgdo3ViM/LwirGt6B33H9mLTkyuwq9oHvidcIhbFwJk21K1fiTUb69B5KYbEIyuw+3Af3mlahxXljTjx7hHsfjof+HwAnS9X4Jsb6tB2JoyxO8ptCYIgCIIgCIJ4+EjzHh7lXTjoKEX1cRblz/DUGhaa8ed0dLM94v05I6dRvbEV4QWbsP9gEQL72jDwuTjFNexaHz2Hwe9sQSffgY3DHJ2qPfWoWcscpHnimIbYRz041N6J879St6zOx7qD72L/Gu46EQRBEARBEATxMOHK4XF8iei9AbQ9vUt5eeiCYlQ2HUTj2iIgHkGgoxOjzx/E7uV57LwExiJB9J/vxwdXoxgfiyCazgHiy986KpHX14LqC/mo2rIJzz1ZhDwLR8cIX/oW8HchkNiEo6+vk2eKCIIgCIIgCIJ4uLB2eAiCIAiCIAiCIOYAM7NLG0EQBEEQBEEQxH2AHB6CIAiCIAiCIOYs5PAQBEEQBEEQBDFnIYeHIAiCIAiCIIg5Czk8BEEQBEEQBEHMWcjhIQiCIAiCIAhizkIOD0EQBEEQBEEQcxZyeAiCIAiCIAiCmLOQw0MQBEEQDzFj1yKIi885IRFF+HpCRAiCIO4/0+LwRN+tw5bN5VhZWoo1G7dgy8unEWXN6cDRXdiycQ1KS1eifDM7fjCU20Z2mggfZ2ldvzKZ7s5B1pB/eh57RR5XrmffvxZEjJ/Mjyfz2IrQg5DBOUq4ow6B22G01QaUsiGI+8mve7BlbQuCD1CbEDtTh7ozs7H2jCGwcyXqzlLNnipjZ1rQe8+DfBHnRN/egjXNwYz658RgG9as7kSYR/I8KLxxAJ1XyekhCGKWIFkyJB0qOcT+F9zqlWq/3yuN87/tytHxQK1UGxiXP1sSPiw9W1Ir9d4SccHoz3dKJd9g174rDswwQ+3aNOnzqf9OD89viVYmMvz3JWY5RE9JBwKjIvKAwMtWl79xqff7LK4p85mDy9VQTkL/Dlnp3JVD1roo0s7L7tAVcUyQVn+TCDmIWKYMtZeY7p0OJz3Mmge5fLOF6UWJm7zZ6U+uudUvdQeGpUkR1aEpH64zJaxdMYZkGnm+LL7XBS5P5ewpkYn+WtWz6WNc6n+rW+o3NLNKO22Uh74+6es+rwfG881h5vI1NTJuO7je/bjfpJPjoW6p95eWmmrLZOScdFir33dvSqdeYTrt5jJTrIPJcnfblol2z1FebtsPLTPVlhAEkTFf4v8J30fhdgB164PwnW2H52Qdoi/xv6UIrh5E/fIYArXd8HRsRVT+Ww+v+JmR6KktePHEt3DiTDWKxTEggdDrK1EXb8UHr/l0I0pAGG2l1egRMWeq4B/k9073G/W8FHzUn+epcqwNpTtsfrnNj8Fafc7iFxqw5ocL0X55L8ryxMGR06je2Ir8pj60VxSIgyyPb/aiaNsmeOaJQzJcduVouSyijpShkcm/clG636jniagGPjJb3hwSMYWqY7wMRcRAuKMU1TDk+2ob6j7ZipqRZkVm/D7sWOkln0k+HH7PZjRpZJEtvFy74NHkjV+7+7F2+C6J8tPmWaRTe990aVGvZyePFHyGKIqtHZUokOtGCxSpWsiey8ZOp7QI/bIqI2vMepwpD3T5Mqxk5aTPMg550WGhP+yOoq2zkru23bGvg66R9SqKGrdlnDZfGp0VR9yTQTtlaCet65RDWnT1aeo6noLnoRlo0JZLKh3Q6bHVuXqs88XQpV9gIRN3dZxpkuhH0v1GPU9Bq4vW2NeTBAYObsG1yndQ/bg4lGPifXtZf18P/8YiccQGyzqYQicTJmM/a82qjytRmZWN6LPUd1U+mnrK64/fg8alQeClGkRPAvW1SCtHBaGnVmVvQ9p2iiCImUF2e7Tc4qOttVLvFTHyqxmxMI082o4iTkgX/5J9bxo5Gpa6NpRIO3+e/ewHT4ObERTTCL48gqqmXR3V4SPNqVHvtKM9upFClscf7ZS2by2Rnj2iGQWKnJK6r2Q2MqZFHqlyOSptfR7Pk1o22tkJMZJpVWY62ZiDbnTTYdTLJPOsMc4ApMFyVI3nV3+N5CigUzDmTYwEKuWf0hVFZpq4DbNihueBLt8s9FnFIS86LPWH4er3Ih2yLNPrgwmXeqQjbbqYzJzk4prMrsP1w0rX3emNKOdkWU8Ffi2jTFN50afH3E4YscqX0hcqv9N+zz8bZ5TS4loHrPKVwiqdjkz2Swc2dLFeeRqZuCjt23pKuimittjVQUEyb2p7rCHVXqbkk7JVDkm9Jrnw81yUkdv2Q0uafBAEcf+wWdJm7ASMhkaaxuLux3LnZar4csO+QeqKiHim8AbIVWdo16Cl0q50TGqjaAwWnQq/t+aak1cOSwfeH2bXY+cnG8Vx6Zz/InOFssR1x8fzYWVIG4+bO0ieb2O5yJ2DpVwt5OjQCVhdOwW7luEe9h00v69DWcgoeTWXHQ/iNw5pde2IyB3sIUvDzz79KVzfR9YvNf1p6leGPJjly8lOn5PoZGq8nwv9kc8xyMfC4ErL3VHpXGuztG/3dqkrbD8YwsvJXr4aLPNlCJblnSEOupBCW5aGkEyDudz4tV3l1QiT5cWfHpAO798pbT8yZL080CgfOR0p/dTrjJMepIJWj/nvtXIx1XGuI67lb9Rxe4z31TMk62oyzZrz5N9ZpYcvOzcOSo6ekw78aJ+083td7paiMSZ/2S0daD0k7fneHumcaSzzpnRqa610Lp0wDPVKbrM0bRPPgywj9TzN+UmHx0Jf9WWtIsrccK4JV/rP0deBrPSaIIhpx3rTgqvdCK5twqoP2xC4rca3ul9u8GkUA8jD+IVDaNjXkAx7/7ITIaxC8RJxXibwKeQdUTQ2pF+mETvThWhTk3mJwu1+BMVSjYKKdgwODirhWJW8TCAZt1paUeRBGUt9dIx9vhdBz8lCvLimUPnuThz80czE5QAm1hiX6rkljLb1LfAcc7Gsg5VHy1K/aZo8dqZZf/x2FNGVHiwWUU5BRQ08F/qhPurLlwpUH6+C32o5wNUgelb6sCrr5Tp8uUgbyxnHC9/SFnRflSMyoyOAx3alA1+CwMrirAddpaUoLVWvo1KAyg6lvPqayuRlA2r59TVF0cUftF6+FY03uhQdtqBnB7+uJnTo75DkeA9QbZZPwWMeRD/RPjTNl0/or8mXXejvwzdSEKcnYb/bAfjl9PehcaU4nAMe3PLNTp9N8CVGQi+UoNYvF/rDz6n2oOWkJmVjUWCJNgXpGTtzHvkvN2JT8TD6I+PiqAHWvnWxcqp5ph91SV0xBo2MTPnSBj+qxGlTIXypB1Wr07VGXtSL+/q3iTJV40l98GJrUqYKsU+i8DyWriU3EznRi/nb92L3ljWYPBbEsDiuhac72Z6fbWSalg59uo2B60cSVk7NzR74k8vWYojeKNPr+aJK1CwNot+m3dES7ii3bMvNhNGtu68WXg+r2XVqRJpZG3KjOqk35SPsuEX9j0UjKHy0kPXUKmMI9OWjft8mFP+6H8O3xGEnPg/i2PUy7N2zG5XFQZwbNNbEhVhYGMLwpyLqxPFUmruW8PJzWCq6aBV8hrY9fInZBy9p5MPLiuXdeplcFftXjTZNe8WX/ar3lwNfnqxJEw9WG3iEO6oB0X7odIUgiFmFyeHhBhKv6KHmcpQ39yD4YRgBv7KyNXZGOEDM8G9ZzxoAGwMxdj2ECF7A7n+/H/tfS4WasvnAymIsS7WwZrhjYzJ+VGfAxVr5q20ov+BDk0UjF/swyFLO0r6f79qlMU5FftVGTdsIWhF7rxsTL70Az7wCeJayA2PjiDMnqPdGKV5I68zx+xqNXqXDirJOOm3HJzt+zDg2dXwx9F+AvsFnxlloqcfQ0S0GM9Mxyj9yWTWz35y1drJkw2HtKrOh7BpuMCJp6HhfakT0klqy3FDwwJOuPJnx0M47cdUwNumckm+twcEdEfEJq9aC6bCmk+Lrt9l1uCOiGrm8k5INpNVB9p2hbBaxNLKu0ZfWIOGkjD81+Lel7qMECx3mhvw2X9IQ9ywN6dOcLQ90+Wahz1lidMxS+sNY7kPV8WCyPUoZ6mbn1sppA+IYf7QMK+aHEXzXg3WlVh4gq//7xWCHKg81cIM96dy4GAzJFbIDZjEoYJtXc3kvXpIy/gqe8QEaxzQpc7m9N1zbdlfFGCa//l2ULWBSvRFGZPUynfMrI9IdGhEawR3UKem4Ht6HoEk7+DeK6GWzni9m/YA8OCbgxrTRWJYHI240os/SidGi9A+wGQzjTlO0mumHuI48UHBZ0+7YXH/it+PwFIhBO058HIVlK5B3LYjTS9ZhxR+J4w4kYoX4VgWvL1FELueh2GOUdAGK0vSJss0h9+8ivSzYPcuTgg9Y6NtSb60+Hj4ZhE/bfhjw1fqBHan23lubur8cjlWZBhbM6eJ6n+ofeNsRchqAIQjivmFyeNSZD/82/nDeIJrQhaBpjEyMiFk2pAkMh0PAaq/BsRnD8EdjKPr6MufOh3f4wviRHQ+5Q1RGUNw5A3aPHSojZFV8FHJtVBl55A868oZMM8NjO0LzSKHcuY5HWYd61Yea5XqvbfyDARRWeDWjZXZwo7gGUeYwKh0gN5zKEVyrfRDVDsXxs35Q0tzxWo/Q8vPYH1lWfFbBxomUDYcq1KRNU4rREYuUMYPR09ytGEfaUTl5lko18l0gDEH+sKrecGD5gf0shdwBqcZPMs/aclb0Qs7n8nqmC4YRfY5hVmFauBFVOkku9xssbWqas+WBL98M9TlrmCNy3Mkx88K3jTmkwijihnrUzw1zvulCyhCSwzGg2uQI5MO7shgYPI/TX6vEKgvjTx7lZ3nQzxamwTDyrA9uHr52RjHsNbPeJuPPYHzz2XPmetrWE64bSceUGYns/yAfNFvPN2tQr6mEvrVBlFs6PQXwPqnoa/R6EMVPF5v6kvBJYTjLgxfs+jtY6/BMOh0XA3gmOSpBu4EArwO6mSk+S5ocrEhhrCvcmK4ZKU86c9wB4gNz1g/a61H1w5KrbfJsiNI3csdImdHh7Vs6fYp/xktBQ74XZY8DA++fxrKKVaw005P3NS+Kead3exhDYy/gqdQORa7gcuAbSPByTz/LpRKV86mWT/VxffkpA5bp6jWH9cWsvZ/64JLaPjD5+6PMOpraAAxBENODeUkbN5TUUVbWmMq72VQrTd/oiKGBtISP9MDcGcWHMTAIrCp20YzKxg8ffWENmLxjnEtnR+08q6MoNxgefJkbHyHz8cgz9cr1Lrew89g9NDM8trvj5OXLzkzwEOtod6SWreU/ylp4JqcDYyvge0QcTAt3evrgu8DvqThzrpwd1ciSHULjLNFieHRLoXiDbzEzoS4LkmVsN2KsOFaWy+u4U2Dp6PL7lVkYF9xg7EFQ7oTUUTmlY9CN3ruEGw46WXGDwzDqr1suo0mvPOInZjuU5Whh88ipvHRRCysrG6OEG+CmZTliBkkNfCYprSHLyqKJG3n8N1zf17I6YrVsiuu4uG66WUilDj3I5ZuhPotoxtgYrFpSI8c8DYCvgRvmFo4kk51f4xylSGDgA2ZEPr8KRbdDCGmW98ij/MzNy3gpzLQuadMMArhEdpAcZ1K4bgh9484RM0YVR8esgwUVTWh0NBqjGGZ9yQqLvoTrj9y2s7KQZbqtxtrh1+F+SZt21opj7YTzUX/DMjcGT5vszPF2ge+Y6MrZUZd39cHDHG3TkiqWT7U95I4RHzizm9ExsrhohfikITGAD04tw7qnixC7HIJmksqRxI0IQjarNybvig9G+KALk0P6vk9Bnm2UB/w8yeWoPBiXUiZtBdt2gQ+Sie808uN6r5u15YOn6kCULUyvG3yK8y4PXPrYla3uqzij8nXtlk4TBDGtWD7D41GNLWb86UeaxTMsTowxx2YsD2VPGDqjSBjnWcfilYeD3KA4BY0r0y/vUabENdu6cqNNHm1NOQV85srkNGUywyNYvH03KjUd2cKv8CUBz6FmY4ZDW7IBoCx56kkuA7JBNqI12/hyY/as0simDF++FEo1PHnnx5fIGZ+7Yo0uXzpj8TxKEtmodrm8TgO/X4+NcZE0QmR4w887BotnrDLG2rB2fnYkRaiZ5bNa70zLhpubZzR4Z200wLns/B5Fp0Tg5ZtaLmm15Ekh9UxZE3DBwpFixD6Mys4/N2iRTmfseGDKN0f67AjXH7PBaunIyvA2ycLRScINXfFRB2sT3y1D5eoiRC9FkfeoOMyQy92lgZot3GhO6yBrUJ5JsHOWreAOEnMEdc6wealpEkdnnJNm1u52GKHrzEn9mohbwdrMct0zL/YDF5nAB0qS7TW7B1+SttVQj5Rnz6zrilzefLZMs0zSGsX45s6OYpDz/kIMklkazMwZZ2mxWsptR96C/NTst8r1AZxeWYlvFUVx8UYelAVvMZxv2oJdb4blZ1WtGB7stVm9EcPYSDGKrAYDM3weLt0SPROXbZxmi0Eyns5ArWHWlpeTOijKgm0dkvVZ+U0TrK7NYE5+lDuj7Bw/OyfL1psgiClgdnh4I6R29rwiJxuXftagsgbAbze9HsXpl7dgS20bBlgs8OMt2HuWeUfxEFq3seNNp9nRMLpe2YLOQbdvX+aNvB8eZjBaNzZKpyA/lGnsQGWnx4OW9caZEA2ZzPDwEefVm1D/Xb1jwzuNsr+okdeVZ4O3VnnA1DRyJ8MbYZY+2Yg2GFqy09OI6I5UQ+yV1yQrjTMfQdSOnMlOoVg6Z2noqjMTYkbN7agbN6bU+6XriJRzlTS4vb4j8rIpxbDg71dSypmPwlsvZfCu5vqgpFeRqdFQ5+WfbmRblIksJzdGoXb0kTmplpsWqPBr2z/EXPCMR4wkMoPUNKqchgewfKekz27QbP7Br6fUI5uZpHTIjiQvOytDdzGWrY0j9FYrQks3YYXbMR8nMljSxtsYj99J7zRwI57JOhOZajeJSdZDeYlbFhtiyHpq5dymUGYTVuApm91hZD2Ul3O6ddrcL2nj/Qpfdil/x++hdaJkHWDn86VqTnWFXYNvjFFt86ySotuK8a2vR4rTI29IYHJ6+LNsqU1DuGOVrg7mL/WieGRMn4aiZfCxPrvrjRCWbVwhlmhPYvJ2FEMnBi03iVBn3Hxftxj0u3cT0asrsMzqeSA+oNrc7EovLQcsHVE2yjAtMeX6xTc/cjn7rN3MyHfJetMCFV5ueidbw6JV8MgrOnhblsFSX4IgcofYrc3EULtmG1G+hej31e0dtdt4GrYanS74FpRW2+e6uT8/T7Mlp7KFZWobSdN2ovy46y1Fc4WSHnNaDHm2Qj7PQQ6ynBzKSs1zJmWZvCYLLrbtlLdFdXmuApdHurzzc7RpTpVpJtuCKtufuvidJs9uz5OD2zyL32WSdlc8sOVrQzJtxvykyj9tkOv3VPTH4l5TbDNM2+cmy40Fo1y5DBxlzdJnTA+/XgZpTJapU+BpMF5Xk+60Wy1r86gGFzo0dORZaYPf5u0xXDa2+bQqY4utxw1wWTjnJXXdtHnWILc9uvwqfWt6/bPbytpCL9VgKRP+XrwDUr/L7aeH3upmv7Bg/Bwrx33SRav3MUS6pI2tH1tvH86x0gFtcNCHVNttX35mPXZqB43yc9tmit9lUL8Igph5vsT/E74PQRAEQcw6osdfxIsfvIgzhxejZ10XlpzwY5OLXcQIZ/isxIH5+9FanuZlCvxVDKeAqs1iFiceRMvzezH/9ct48dOd2PLJLvztHnVGKEXkWDVCq/2oflwcIAiCuE9YPsNDEARBELOFhY96kD8ZQmdzCMVvHiVnJ0cUPP8qygbfQTjNKvNo3wC8L2iWrM0vxOL/uQjR9xpwJL4Lf/MDs7ODsQBO36lHFTk7BEHMAmiGhyAIgiAeVu6E0fMusGmbm9cquCQRQc/RKHwvr0PRPHGMIAjiPkIOD0EQBEEQBEEQcxZa0kYQBEEQBEEQxJyFHB6CIAiCIAiCIOYs5PAQBEEQBEEQBDFnIYeHIAjiAWLsWgRx8TknJKIIX3f7MmiC0HCtB3U/bEDDLyLigJYYQkfZdz9oRVD7vs5YEK0/YMePhixfvKpg81uCIIgsIYfHAH9Lt9PblIk5wNU2uYxTb9efe0wpb/yN8R1hx2vMZdnNZsbOtKD3nge6t6b8ugdb1rYgmIkXlBhA29qV6LzGPud5UHjjADqvTp/TQ/qSW2ZEnvdiCJ9pw97NW7BlGws76tB6Jop4LIS2t8PinHz4frAf+7+j2bI6qY8FKNvJvttWjPg98R3nXhzF29jxnWUoEIdUEoNtWLO6E2H2jeVvidmD6CdSxBCorUPgtogm4cfbWJly+0r5Pqm/oi9OR/TtLVjTHMxooCelSxngou/D7QH4DwcdnPUcEQ+hZe2L6Pm1iOecOEJvsHq9cQ1KS1einNfzgyF2dAznf8g+r1/Jjq/Bi6zu7zoVFb95sEnv8DCFLK0NaAo3jDYed6moOYUrY6lScWTUCsfSkpPGn12v63gVaiqMzfDshztqVjLgFdeunH539x7++Te/RSL+G/kvjzvissy113V97Rkg2Ygt3wrfhW6MVtQAfo1uc33S6Xo6Ug35dGNXvlPDJv2LKlGDLvQ/o5EPbwdKS5OhvDmEnh2pOA/m9GUon4zlP4Nkkza1fcoV7HoHrvuwY7lh8+B8D56r3YRVad4dqWchlm18Fd/6mhIrer4KhceZcZArn+dh15cMmZ76rZCVc/TpebR8dycCeA6N3Sdw4jgLx9qx65F3UPGdOowv8ogTLchKHwULl+HFv/gWlomoK1zWM6e+MC2zof5rcZke1cHIKWrdXt+C0PFq5TNPy+1+BC8zI329sY4XYNXaKIJJHYyh/4IHvuXs0ydReB5Lb28tXPIc6jeu0g/0pMNRlzLo+wSxy52o27kXDa+3oDMytTn2+EgI/qZODDhdZn4hVmyrh2+JiGfC7TBOv9GCwIiIW5KPsh+cQEe1F1iwCQd5Pd9Txo4WYd3rJ1C/lnUGK+txlNX9I991qO/Tqec5Js221FwpyhFc24d2jRPAG47ux5rg8XfD01EPJi75WDOadOep8MY8uHoQ9UzBpwQX7PooagaVe3J4hY6+1ATsT6VFC7939XERkSlD49l2VC4SUQ3mcwXb/BisTd4RbaXV6BExZ6rgl9Oa7jfqeSmc5GmGl5N1/p2uwx0R6Xe/EzGmDF/+Mn7/D74iYhZwh+eTrWnTZLwux/7aFrJZ2Yi+jkrd6J9SzlblxvPeDDRovuMN8g43JWTQBa5f+4EmcW+tPlQds9JfG7k7ysldfo041iHX+TXmwyr9PH1B+Az6aERpA9qT1zLGFTKUj1v5u85vql5lpD/ysXK0XBZRW1T9cd8mlDXp21L3JDBwcAuuVb4zbW+tj/ftRV28Hv6NReKIFis5uWdu6wvHWQes248Uua3f6fXXUQ/HmFxf6mHlwIweo3N9bwBtT7Pv1HbzagCBokpnnTCew8otMMbiDvJI4ub6XA9OetCe7KOtsdY5K2Zb/c80PSI6xTqbFp3chQxUW0n7nY3+ljX54btQrctX9u1jpnDZZN/3lV/wpe2zreCOzjv+c8DaGrxY5kF+rt9RxR2dntMYe2wTtn7Hi4K0108g9PpK1u634oPXfBqHMorT215Ez5oTOLNdM3trhcv6NyvgDo8tVw5JJSUlNqFW6r0lzmOMB2ql2sC4iOkZai+RDl0Rkalwq1eqLTkkDYmoI/K5LJ3t/Owh6dD3eyUldexz8rgGkVd9Hsal3u/r8+kWnmc7eWixk9tQu3pfkV5T0KZLmz89TuUyOfGFKTjCZOQmT1bX5cEITxvPi6wb2muLskjpTJpy4GVtLE8L+P0s9VCr57IcFZkn08Ovbylfni4rfbROr9v8que5CaZrOWCuhzbp5+nRyJP/zureVkGfDpfyyVr+Wvhv7HTEujySuNEfV2kw4FIvXTHZLx3Y0CUNi+i0MHFR2rf1lHRTRPVo2hhteWmD+J70RSDSaWxzZq5+M1z+Nsndm9Kp75VIG37ysTQpDukZlXp/pNGRK732clIxnsPk12tMpx1uru+yPGzbfze40ikDbvUkGxzTo9QHK33iISN9sMR8ffWaig5a15+k3ifTrWlTdJ9nApu2htfZNGUm5yPDtE5EzkmHX90jdX04Kk3eFQdzya2Ppe4f7ZEOBIaliYyuPyx1bSiRNp80tPq8L2BldWhAxJ2YTj3PMQ4OD1cIppxWGeEZNDgeXAnsKpJlQ6xiIayUsW9Avq+oZI4KZ+jMLBoHXZo0+dEed8qTI7zSuKoQhnQmsamMdmhkmGxUrIJBztwJudnyv0vX/9sX0j/1/O/S0KU0Do+hrLisjI4vx+joqEGHQUZmWXPZqDJILw9XOsOCY4eXPNd4LUNjzNOuuaY2JPNgbDgzyi/HutPg2OmlUh42wZgWq3NYUK5rf28VngatLHXxbOTDcSt/E+nSOwX9UeFpc1Wn+b00eTbmMVvCh6Vnf9yvN0LvjkrnWpulfbu3S11ha/PUxG+Gpe7WA9Khv9gu7XlvVBxUYcbu1lrpnFUmDXU/Ux42fZHrYpZpmHL9TsLuwdJp2WfKMjfnceL9fdKzJZulU1FxwMSEdDOiSZvWIbHTRxcOz+Qvu6UDrYekPd/bI53TqqUbh8dQ3lx+PL/Gtl7bt2fM/a7/RlylJ70eZ88Q0y3mTLPQq9VVtU4a0sZlz3VarjesTOW0a3WQ/85KVqPnpAM/2ift/F6XNOSyibPVJU7atsa+XqrI+uVKF1ht+SVzdH7ULHVn5OhMSkP+ZqmZt9Hnne8yOcodnWbp8PlMHR3BaK+0s+RZc71gcnq2ZJ90cULEHXFX/2YDtg6PU4MtZ8ignHaNNMfc0GgFZFQwh0oqVybxnaq4FmlUK1cSfq5VZymOGTsv+fcsTVk1VnIanSuMir3M0nXYBlj+7GTvVC7cCbnZ8lPppvxXcXwcURszXQNhxujoqCEFy59BRmYdUdKuHOPnp2m4LWWg1y2re+iQdcqq7Nj9LXXBWE7adGrvnWl+BVZ6q7tHevh97PXYIf26e/O8pMrdNph01uH6OvkIMpa/gpOOK2jva4NBf/g1LfOoDRZp0qXFsvyyg193g18/vzP68y6p/zcsd+3PStvfMfbsVkxIF4+ckm6yjnEydMCivMalc6/Y1BGDfJx5+PQliaGNVIJVGhmW+uHi3hqc6rf8nUaeclxNk0n2HKYff8m+y2QmUeOQ2OpjOofns4vS4Xf4CPOk1P9jY9/t0uHRyttWHjblYMFsrP+WadAGK11Sy1muK8bfuNczLUpa2G+FDaXkuVcpA/V+oh5wWWj7ulQZ8PrMnSXR51nWp1Gp19/PHAWWj29sl059Ig474aRLOjSykdHUuzTlJuffsv5oGZcuNn5TqmX1INMZnckPu+UBB/k+rXYzrZPS8Fvbpc3t/dJ4No6OQO4HSr4tbX91n7TvL1Oh9k+flUpsZ/uNuKt/swFLhyep0CKuR+nMrIw1O+XSKrwKPz95TKfsRkXUIFciQ7pERdb93nCOddps7iNfj6UtwNLkpNRWaZHvbWMwGOH3ccpnJkqjk58e+3IZkob+VYX0Xw0hPCi+NqDohLu8WTk7PCThedflz8KY4STzZS5TE1xmJnnqy1jOg61chZFmVSZ25WE6rjTi6pGk7DPObwpjJ21fnnpclZdlutT0O8ucXz+tLriVjxLLXP4y+mtak63+aEj3vUBXXvw36e7rkpsnNxvKfUIaCg0LY8BpRF7D5E1pKKJ0n8P+DdKzR8wps2qrOa7K24G5ry8iPXYOmI3TM13123QdXtd1/aQVzMD8c5YH40yilknDN0mHxEEf0zg8kzeGpGH5snx5zbPS4bB8WCGdw+MqXwrODg8vP4fvTeVtzXTVfxNu0sPPsa0HM49l2yLSaPndxJDUz9srVsbPujS+HXVJyxT7vvQOD+PuhDR8/rDU/KNu6WMnHTYwGmJOjJyeEulAyLYmsutPSqPMOWr+0WHpXMTVVIyJoSNWjo0y8PGsG93JoP7NBsy7tF1tUx7Isntw62o3WtCIrW4eOJSJIXpDfNRQ8IwPUXUXjOU+eJq7wfd5iJ3pQnTtKvcPgy2vx+BgH3wXypUdQW5HEV3pwWLlWwbfEQTwPWO4Ij9PfOTwh0blnUUu+dj12lFfUY/2BqBZ3YFEnJdkUSXaz3rQpe5Ewh/cKq0G0jycKsPPdfkQKmdadlphpbvsH/ZhQdn3sOQf2vEvy76NR//hbTxZIr7WwGXDNz4YHHSRNxfwnVnKlqRKCHx3F/iwyvBgJT9PYTE8K8VHmbCyU6CIySxaxa4QxaiIJrmsHgujm+lB2Y2ouSwZsTPNCC6tQpmI6xhj6dCmVxD7MGh5XIXrOEZGs8hvCm9tDaLrxW4yom42GR7q5A9RqrviqIHvisUx7oyl3aWI369qtd2DhlzmrI6ILUS11+DBatctHnTXdykfTjbyVxhlpa6t71ZMQX8yJoTomPIpfJLlX8hwqsQ/M+pGPrwri4HB8zj9tUqscrOTT54H3sf5Q+gxDF8ZwwvejPbC0mAhPw0Pn76oD4cPyn2H+QFxL+qPedBy0ryT0bTUb9a/NI/UJB/+lvs2vwd9x6oQEvKzZj7TEfZnQb78x0wCoeO9EOptIAt9FOR9zYtifsPbwxgaewFPpXlGWkWWi9xfD079QXebNjlzpqf+ZwOvTx7b9n0q8If79XpnHRS9VvWXbyii01e+sxevRzeq2XdV8q5tOvK9KHscGHj/NJZVrGK1Nj1udclt3zcl5uWjuHw3GvdVYuGVTrQ092BgLP02mEUry1Dw6UUErm7CmlLrmigzLw9FT1ex6++A97MAu34nzl/PZPe4KIYvJ5C3cpletveGEe5jNvMTzhLPaf2bIcwOD3cg7HafkA31KBobzN8XVLRbZ1reqtBCmeUOI4h+WalYhyA7WMwobfZksS10ASo7hDG+yKMvPLuGjHWKoaUeFMiOSik7p0o5rm6zyAPfdpEfu9yCch43dXrM6Rn0A7wSr2d3OevS2ZF3mmOdY3WUXTfNNqzs/C7UZLTLStJ5Y0HtGE38w3/EP5a8hjuhv8ZISR3+39B/wa2Sv8Lw/yW+V5Hv78+pQhc8pq9IsqFj4eSOjoTElpX6bS3tnWJjI8UNDaBalgVzRtcyg4mXufg2CctjMzc0XnLTpKrYONJauH7UerPIrxaWB+FYl+4A/BZ1k9c93uhoQ19TmbzjjfF4qhyV9Ht0G3JpjUFepxTjTb4+M5bk3QoN11ODfxvfIch8fTfyyU7+GpJOrR3Z6A83YlP1SG4L0t6HG7CiPWC/qWbtjo/J02NRd5N11MFx0LK4aIX4pCWBgQ+YMfD8KhTdDiH0qTicjsQwIpfLULzU3JlO3hUfHODyQ7X9DkUPn76k6orWOdFtgVzksXbOpqN+q3Ji8PRUs/bbtk/XUYBlX2cNwpVhS6cmcfUYhp54AVZ7+ClkqY+CxI0IQsxpWuZg46XgA1g+9OVoZyhzmzy76n/m6dG377kdNOX2ml7vuD7yHQK1xwbFoLnaHqT01Y8qvjOpXHYF8Cxlf7b55HNNJAbwwallWPd0EWKXQzbOthlnXXLf9+UEreNz7Zgrxyd6OYDhDWvwFFg+rqZxYlTHp2k3VsQzcHzi/IXTMA98/foas4eL4V3qtAl4buvfTOH+xaN8a0FWyTzHMlEEVkn3twBNWy2U2ahUfNSAz5A4bwmYHuadJx0p5f4eU+fM7sUdt5fYnWSnhTkqq5UtEfUVloc+NDKPm3fO1p0Gr/z8nBCCHzo3XXJnqN1WmzuXskFuaIy406adiTgedHaKWGeqjnzycpI7ODX9fFSvuZw1koZ7lPw5/s3Z72Hetn34N8mZnh9h2f8ovldxHC114v/Gr2s34x9r/wv+H3EkCU/vhX4lf9x4sXJyeT5upGYSUzOCdk6xaDiNyDOAiix8I0wXLfLCR+J8Fk68SmrmhemNut+8PNNpcKRl59pi9DiL/GoJn2SdG9PBMvSgS2tETQWe/qUGR5rPelo5hCrawQBDMG3nnoF8spJ/Ei9823o073iwJlP9CXeUI1ot6hAPZxtl+SvOs8GY1aExBlZHmQysZhPCTA5KHe1jhrXSVjmTtyDfYnR+GAPvlqFydRGil6LIe5Qfi+F80xbsejPMzE8brg+gt+gpLDO14zGMjRSj6BER1cCd9ugnqTz3XHJskRQeIn1REEaAXP6aVQcMp9mraanfMtyw88CfgVFS/N39qIq34cAv9KZl/FoPOm88hx0rnbwRK310z/BgL4q+vsy+/dGSrq2yYPESZkhaWszmMp5t9T/j9PC6k2zf2f1uOM1ecdsrzcCrBdye0b7fyTjbmPqO2WH+nuRgnm4AQfR7jcxq0V4rCWurTq+sxLeKorh4Iw+F/Njt82jYtgv+a/ZOg6MuZdP35QKN41N4owetrwcQscwCa3VCUWz64xXAYAjjBe7fPlSgOj6Jc2h7vRMhJ92KhHGeaZFXnhJLMfbLAYwtKMMyp1namZDXdCCWttmirhXO7AE3dT2zm7V9qXNdrfF2kw75POv787Wilve6YvccTJq1vUn4uk+7PCjf2T4/Iq+D1N7DsIZU/l5Jtzak7sXOV9eU8nM190mu5baQ3eSln0r/teUjafK//Vz6mP/VPmejIv/OTf5TKM/sRKXr36uQ/uv3fi79k/EZHkZKr4zXFrKyKGf1N2n1xAK53N2sebY6J6lPalq1OpGSfVLWFmSeX/W4Pr9uZeCUFl36ed6Evjj+xqBXRvTr4zOXj4xr+RtRZOV4bYZb2XFMa8o1cuLI13KQh7lO61HbIVdrwTnRU9LmV84Zzh2Xzr26XdrTekDqvqKu9ebPYTwrPfutLoM+peDPA1muz777sXToG0wPrR6CNZR/Mv26YGizHiJ9UeDXNctAuc5M1u8UvJzcnKdjYkg61bhd2vynm6XNW3dKtfsdnhHQPWNjpY+MNM/wKPAdAq12i7J7hkeRn/uyYch6YdAJoSvG68y2+p9pevTnG/TSCn49t22RgN9TvYf2sx3JPKvplGWkpssmjbfOybutHWjtloZ+I4590ivt/Maz0jd/ZpcjG12SyaLvU/nkonT4yCFpH3+g/xvflmp/fFg6HHSzWYwNtpsNTEpDP9su7dx/QDp8fgrX51jdY6JfOrCV1e3nWD5KviltZJ8PD7D6euOUtJN93vgtVkYsf5u37pHO2W4UkUX9mwXYOzyyMrqvkBy50vHfsOC2MXZ7rozcOKWpuDYk02aXHzW/lsG+4dIhp89wrq5SO8DP06TN+QFLI7wSp+6RbFh4cCg/dTMBbbBEzpfmmsZgaPitrsuDMzwPyvUy7qCdUNNuSKMl/FwX+m5sHFN6n4lu2udXuZ5z+atlbGxwtHXQrjHKKv2O9YOHVHqzuj7HpfytScnT1b3SYrye2/qo/m6q9zfCH8I9IPU7PMOqZeitbvYLK5Sd2Pa9b2HARrqkjba7ArEOLpOyeej0RWCVb0Pbo+Rv+uq3HmM+tSEHeU63qQDHjcMzfo610xbb4DpeXzG6rPPGgpVumMrHTgazrf5nkB6remFZH/XXMNZDO7Q6mC7IOpq8t3K/5O8t0ujm/gpDUvdbNnsJ2ukSw5jHVF5yXV4PA1nUv/vMl/h/YrKHeMj459/8FtLvfidiwJe+/GX8/h98RcSyx3hdTq6uTRAPK3wJyYH5+9FanmaJw70Iek4BVZvVJ3bjCDaXY2/eQVx+aRQ7t41g14W9WGFYnRQ5Vo3Qaj+qHxcHCCIdVwMIFFU6L3M3nnObxcdY/GtBtDy/F/Nfv4wXP92JLZ/swt/uWaHfMMHN9YmHj+s96EEVqp4Q8bgLXZpREhi7NoTROyJqyXws/roXRVkmMv7rAQyPi4gNhcUr4LFYovyw4v4ZHmLOMW9+nuyIcPhfHs8F2utycnltgnhYKXj+VZQNvoNwmo1+on0D8L6g3Z5oPgqLPCj69Bwajn6BXb8wOzsYC+D0nXpUkbNDzBTzC7H4fy5C9L0GHInvwt/84H4aqMSDQxTnr3qxSXV2OLNOl/JQuGQZlhU7BQ8K54nTsyD/f7K6pj4sdv/4z0MBzfAQBEE8KNwJo+ddYNM2b+469EQEPUej8L28DkVT6ICJh5BrPag7MYz8p7di/3eMewDHEDp6COd+tRC+fXvhU59wjgXR+loQE48/h1d2ltk8+GzzW4IgiCwhh4cgCIIgCIIgiDkLLWkjCIIgCIIgCGLOQg4PQRAEQRAEQRBzFnJ4CIIgCIIgCIKYs5DDQxAEQRAEQRDEnIUcHoIgCIIgCIIg5izk8BAEMfvg293+sAENv4iIA3oiv2Df/bAOPdfEAQ7f7vYH7PjREGLikBm+3S075wetCNqfRBAEQRDEHMLZ4bk9AP/hoIPxkFsSg21Ys7oTYRHPGcwQatn2ItaUlqJ07YvYsieAMSQwcHQLXlzLjpWuwYvbtgjjSTlevlo5d9epqHyJXBHuKEXbVREhTPC3yU+ffMJoK21L6tf03ouw5V4c0Us9aNixBVtYvduyoxp7jw0gFo/i9LHzSntzLx++H+zXv9sjHkILq5M9vwaKv8O++4EP+ffEdxx23eJt7LjFuz1SbUsBynayc7YVI6797axHr7u2XG1DaYf2rBgCtdTmEARBEA83lg5P7HIn6nbuRcPrLeiMxMXRLJANGz8ajg7A1VUWLsOLf/EtLBPRTIiPhOBv6sSA1Y0KfGg83ohK9rGs9ihOHKxEEfKwYucJHK0tY0cr2fcnUPUkP5kffxNNm6vgP/MOjnzXww/OMMy4qQ1MzdE0GT4W3A6gLt05Gmabg5A2PTx/boxEC8IddQjcFpGM4AZmunvmoHzt0JYp1wHu5BuDbZlzo5qfk53MXBEPw//nFWi5XoxX/uMJnGD17sQxP1rXRNDw/Bb0zPPYvIiQMb8QK7bVw7dExDMhm7Ylg/rxu7v38M+/+S0S8d/If3nciez1Kw3Lfag6HtSU3yiiaMTW5SKqw6UTZUM2gzfTlm+CIAiCcMDS4SlYuRvtR1vxyjezNPZVR+dH72DssRexf+cK5IuvnMh7fB12VxRn9AZxxdFpwDufFOHFv9qNFbY3mo+FRcD4bydEnJPA8PUB8VnDSC8i3t3wLhBxS1TjUBMsjVhuAFt38pkZDO6NE+4IlPo96Kv1iiO5IIb+C4CHyTBnWBjk5c0h9OzQH+Oh7gyXrDJarR6zOlc5T7CoEu3HgGpmtHJZl5ZWo4f9qzb93lg+MURviI8ZU4BVa6MIZuwYWpevvYFor1c6tvkxODiYCmcbwV18M/z+XfCc5ed40DUdTs8ddo/tOzFUcQJ+1iYUaN/q/zUf1j0B+L5ufFu7hrxirNtWhiLt71zitm2R646qT+tbEDpenYrzYOOo3ptMQPrd7+TP/C+PZ49ez5Wg191kEOlJpdt4HotfbkG5iJvam5UeLBYfHbGoq9XHYa6rwkHUyVETqo+H0LJee2wanWuCIAiCUJEcGA/USiXf75XGRTwtdyek4fOHpT2vdkkfj06Kg9PDROScdPjVPVLXh6PS5F1x0JFxqff7JVJJ+5CIMyJd0p7vbZdKSmqlc8lMTkgX/ecc8yzLpaREOnSFRa4ckmoD4mz2OXk8yZB0qOQQ+1/E2jXf8/O16bnVK9Wy3/NraIP++qlrmbHIoxP8fo7n8rSb02MM+vxmC7tXJrqmlbtr9GXBy9FcVtZ55MF8PyFvi3ONQb5PxuXLr18r9d4SUSOG8lP1Ug5clkIfTcFY5nK6DPexOjYlJqX+Hz8rp2vUpr5+/JMDUr/abFzpTX9vlsZebfkZ406kvX5m+jg58YUpODHU7iTbNOWexCmNbtKfWR6N6NoylzjnmyAIgiCmh9w4PMLRaf5Rd1aOzuQvu6UDrYeY87FHOjcqDtow8Uvm6PyoWep27eioGJ0BFv9RlzQ8wI3CVCc8eaVbOhVRPlvCjUiNTLiM9IYwN5o1Ris/X2Ng6o0EG8PGyZg33D+JbKBmaoDoDR6dI2eEX9/ROZoi/PqujS8mN2Y4JZ0H7e9kI1+RP5e1IkdeJuJcm6CXNy8XJ8cyHTblquK6fNOnw2RAasuJX8vKudEcU8rc7h6K3GzTmgmRLmkju9aBkF37MCmNRlidFjG9QzIpDfmbpea/2C7tOa9JC8tLOofHtm1J4/CMB1gZJZ1ZrYwVmRjrSKYOD5d76hpCP436z8tKvr9VMOoX1xWr8zTBShdc1zkzrh0euU6q6XCoFwRBEAQxTUzd4Rm/KO37Vq106pMsZ3Q+uygdfucm+8BHgJ2Mq3HpYuM3pdp3MnV0UvAOWs3PxPvNivEld8abpVNRdvDuTemUvz9ldJnghom+w7bq9LXGjPF70/k6A1dBbwypsHuL84zfuyonS4ShZWcQaWHpTGv46gwb52DKn61xZzaQtOWYjKvnG+RgVT5yOp3yqpG1dZ5cOEMO93Bfvrx80tzLWC5cjup97cpD/l4xkJXfGvQgGZR7Z69fKYb9G9j19kkXJ8SBdGgckskPu+X6Kaej9eNU/TQ6OMa4U9vi5PDIctPonU6O1gZ7Ng5PumvqcaELOjQ6bIdWV9JipyPaYJUPbbrTDAQQBEEQxDSRmxmez4alcz9tlprf+lgaz9AZmbwxJA3LFsyw1LXhWelwWD5sjXYmKYtOM2koT7JO+C9FvoShzQ3Mife7pHNO1zUZsTYduGqE8msb5GdlgOuP2Y3q2xswlkZ9OoQR5+zEOBs58m/VvE4Vk2w5ZvlyndQbrm7yocjImP5UMMg7I0NQwXR9VoaHmENhLpdMyldrLNpg1LEs0j4TfPwTJpOtpyTuflhyd1I/kKFxSEZD/Sx/XG6GGSKWVyeHx7FtsXN4jPKUy4CXp3XdU3Hv8Cj5cOU0y+eq5znpgnpNF0GrG+l0xbJOpnDV7hjuwX+Tk/aCIAiCIDIgN+/heaQY615uRGPFQgwcbUHL8QGMuXxmN+9rXhTzJ4lvD2No7AU85fDMMublo7h8Nxr3VWLhlU60NPdgwO2NGPmPsouPxND/ix4s/N8q9btB3Y3g3OdlWLdIxC2IfRJF2RLNI763+xGED6sMv+HnAZ8hsJ9922C4jwb5wd6OMLy1g6hXd1G62o2WpT5kst2At7YPHn9p+l3ZBPJ9L/nkh9jbK2z3xGJ4US8edvdvK0Mjf6Bdffhd/e1yHzwX+i0f5M6E8KUeVK1Ok+vbATSP1CTTLG9EwDdnOFaF0MiofMyJqmMi7WcbUdXUJ/LRh8aV4gRB7MMgPOnSooGnoxqGzQEafPCtrUKP3/CQe0bluxgeXdrC5t3dFq1iGhiFLvfGB+0tQnJzB7ud3JIhN7tqzf899t8j87FQiZqIvtuDIZuNzYpWlqHg04sIXN2ENaXutzTJqG2RibE6G0VNh6izsmz4Rg5+VF02yDgr+MYQzUAD15H6jOq4gmHTgqQuFKCyQ+gdqwtlSd22qLcZbGTiqk664UZUSServ103ylgbPHVJEgRBEEQm5PbFo6rj852FCP8sM8cncSOC0MpiLHNjz2gdn2vHXDs+C79SCIwdQ8+tF1H1uDj4SKG8S1Gg6TQK1zpbRAWP6Xet44Yx1q4yOTSjIyF4HlvKjJB2VApnSN21qPp4FXzMueHx8gs+w05qzODyR9H4kjimM0b57kt2CINndZCdl85ADaPbdN908F3LPPBYOoPMKDca3JnCDSEhFzOa+/Jd10S6ufxkJ0M1Tm1RnATlbUpMvh0phyF2ps1CVvrd6NJuoysbcY1meS7ywltRb0hfpuWr3/EtdqYLUQt9Y+4CorfZtfnOXutb4Ek6dn3okx26Kvhl45c7fUq8RuvoGndy0wT+m1zgeWIdy28EN62q6VgAgXlrsMKh7kcvBzC8YQ2eAmsnrma2Vb77toXXI+GI8C2pd4DJLVWHpwovPxzL5Hp8S2ntLmpKOSbLJ63us9q5BAh+yDSe65rLARGFMILGOmlwjvkubdFP1NpkA6uzTWuDyi5x64PwrWVtqHbQSIXLW1x3Nm19TxAEQcwNcuvwqOSrjk8hoida0XomgnTuyPBgL4q+vixtB65D4/gU3uhB6+sBRNLdaIEPu7atSG1Pm5cvf/b8b6xzf0Q5ZEsR66zV2QzWQTc3e/SGI4cZBdXMADa+96Kgol0xUuQtf0tRPlJjMlhiZ5oRXNukGETcAOCzF0kDh48yK9vL6rZe1rKcGdiDNYiudzjnNjOOlzq862TG4aPq3Ei3GvFmBt9l8VEHd0o88Ltw2lQnIemq3mAyZE5BT3M5ypstXirLZ+2W1gijlBl9N8wzeCZcyjOb8i14xoeoPEvEHFUrfWN39ixV/qqj/Hy2UJ79OjmK0Y5yRKuZbLleMgcxOZOYFXyGIrtthPPXsHpa2otW/k4u7UzOp+fRdrYQW7/jtAU+y30oik1/vAIYDGG8wM0m9ymyaVvkWT5LnXTg6l/jH0s2Y9jGYB8dyWxbd667fEvp7rQOgHB2ucOwowchptuq41BQUQMPj/MZ3drFOocfizzwqLMvBuR607Q1lX+TvirOsHovp+2lk23fYBNrP3vgecxcErEPo/DJM1F+4BJtVE0QBEHkFmuH59MgOo+24dDJAdaJd6L59U50fjAmvsyAfA/Ktu/F3ufTvf8iyoySNO/gcII5Pp7V1di7p1JZwmIDn6HxvlxjcGzmY+GTVah3NLgExtHKs1qDiBuD3OAA/KaRV41Bsj6KGt75Wxjr3DCwXWLGHZWVjbLBUTNS7jAKypeh9cF3gRkiViO63Mg5Xp3hKCo3qnvQZeFEhZlBzdwVd+/ysED+/VIbQ/xqED2W7wkxpIc7epbOj9FJ0Cz9kYN5tD18kuVGu4wn3VImvqTsRrWr0fOsyjepc9WAjQHurTXngy+T9DMXp2tJH+qLhLHKZSQvw8y2vJhucYfd5l00jswrQuXBd1GPd7Bz6xZs2VaNun2t6BlbgfodZfp38phg9du7DJH3WnEsvg6VfyQOuyK7toW3FanliLxOZej8WMBnW1r2u5SdGFDxs7osL1etZQ6I+MqM9ZK2+uW8TepijlsjyiwdGy98S5mTbdBd7izz2ecmO11Nol0u50PQcXaZt4H2db3gGQ+C8vt5mJ7nYhkdQRAEQWj4En+QR3y+f8TOo668H5Uf7Icvs8HbWYDoyC+z7p8ZGjqDli8B2aEsVOLPj2Q6ui4ve2sOiRg3LjJbXsMNl+Bqq/tyQ8hhiRw3vC2Wy8jPqhwXERW+HMrFTIsVPH/NaDI4Adq0OeU5JXczfOlPPRZrrm8pi2T5KOd7+Sj2fqBJm3dNGaYwp0tfVlrs8zDV8nUiKdtn+kWeVqHfSk8t86fFOq/mcssxVwMIFFU6y4OVV2CMnaOWqTHOsWtbXFzfvkzN9TkR/434lCIv/w/EpxRO1+Qo1+W6zZ/10cid6yZ/EaqIJtHUVbV+ytcAL1e+JE84amo5m+qruR6Z2jEVo664rfvid7bXJQiCIIhpZuoOT2IM4SujmBRRSxYsxlNPFulneeJBtDy/F/Nfv4wXP92JLZ/swt/u0Sw1M5HA2LUhjN4RUUvmY/HXvShynk4iCGK2MxWH52su2hY318+Af/7NbyH97ncixhrWL38Zv/8HXxExgiAIgiDuJ1N3eO4lEI87ujvAvPnIzzd4IYkw/N9rwIBnGfI9L+LV7SvSLGvho6hxTNrs5KQyPz8feWmuQxDELGcqDs8TLtqWHDs8v7t7D/cmE7LTw52defPz8OXfo4aIIAiCIGYDs2NJG0EQhJZrPag7MYz8p7di/3fMz99EftGA7o/iWLalHVVPioOxIFpfC2Li8efwys4y05JMhRhCRw/h3K8WwrdvL3y0woogCIIg5jzk8BAEQRAEQRAEMWeZnm2pCYIgCIIgCIIgZgHk8BAEQRAEQRAEMWchh4cgCIIgCIIgiDkLOTwEQRAEQRAEQcxZyOEhCIIgCIIgCGLOQg4PQRAEQRAEQRBzFnJ4CIIgCIIgCIKYs5DDQxAEQRAEQRDEnIUcHoIgCIIgCIIg5izk8BAEQRAEQRAEMWchh4cgCIIgCIIgiDkLOTwEQRAEQRAEQcxZyOEhiIeJeASRTxMiklti18IYuyciDyr34ohcH8P0SGjuMKWynkYdnDskEL0ayV4PPw0jEhefCWsSUYSvZ6+HY9ciIBE7k1E7Qe3C3OhDZzE5dHhiCNS2ISxinNiZOtSdiYlYCn687Sr7cLVN+f52AHUd/JdhtNUG2JVyTQSBH2zBmtJSNFyY+SYq3FGHwO3pyltusSuzuYw+z7OonHi9yGVa7oTR2TGM/KI8cSA7YpfbsGvjSpRW+FnNSlHwNaD39cAD3GAnEP5ZG4YfKcLUJDQVYgi+tgXlq0tR8aZWukZiCHXswotpz8sV+nRlXdY50sEpEQuiZXM5VpZWwP8rccyKX7H6t20NSksbEJyJbkOXrjx4Fg3jwNFw5k7PWAAt7wGefBG/H1zrwZaN6WVn15ZMG9p0TXpQeOMAOq9mbmSPnWlB7z0P7qeIw8e34MW1pSjdF3RwvGa6ndCnK89tO2HXLtwegP9wkOVi5nAn1+lhpvrQ+IWG+2vnMec28Pppnb8wE1g4PNxxYYXNnIN0QREYMxDleDlaLvegWv7MDfwY+i+EEGouT/1GdmpYoT7jQ/RSKquxD4PwrPYy5Y4iutSDAnE8dxSj8mA9Ktlf79JpbKJUB86A9yUfgieBrWuD6OaOnixjxTnkxrYqlyTsOqlj7sujdKrGMTOwm5sNZSYHvSOrknQU1PS6MtAzdyjCHUo6clVB+fWyulbSMc8OxfEVkRmHGfPHulC4pRJF88ShLClYWY/GLU8BK4vhEcdkFnixY00EB95LL1teBvKgh8CyHpjgdSF7GfJ7tF2117/E1U50/WEVKovEgftCAXz79qNmCeB7slgcs6IAZbWNqHoCWFWsK4VpwpCuDMo6Re50cEoU+ND472qY7vrwJDMwbHm8Eu21lcAT3plxHozpKqpE1R92ZWiQszry7yPwbfPeR6ed8WQV3vzBc0DpCixzkJ1tWzJdGNJV9HwVCo93IpyJiFk/cOC6DzuW31cJw7vtTdSvBVaULnNwvGa6nTCky1U7YW4XYpc7UbdzLxpeb0HnVKYq78WZrelHw9EB186LO7lakMW9TGTVrmZIIoyujvMiMsP8KoC9rA9vaD6AlnfHxMEZRHLFuNT7/Vqp95aIWsLPOSQNidhQe4lUUqLGtd8NSYdK+HeG8P1eaShQazo2Lv8mB0S6pA3fYGm4K+LTwZVDUm1An+JxlifjMb08+OcS6dAVOaLArlPSrkrSjPU1reHn6mTKgu5eSUS5GO7Ly9H6/JRO8HvI59zqlWqtyoznx5AGfUjpjRE5/XKaLOQkoxy3vq4+pGQm0n6FpdfivGQwlkGaclGxkrl1UPKt1BUl8DRq49rgtswt+eSUtP0vL0oTIjo1JqSLf2mTnrvDUte/PSB9PCniNljplZxvR/mmdM4RVd80usivXRvolQ7xY+x7sx6NSqe+t0+6mBsBSdLkkHTxwywvNnFR2ldSK51LV9zivLTy0JLLdLks6yQ51UGWlfBF6eNss/L+PqnklXNJ/bBj2L9BetZFnc8VpnR9dk7a871TTDvdMfnhAWmjf1jE7i+y7I6kk51DW+LAaPCia5kYMaZr4vweafs7riUsfdy6UeqKiOh9hdW/Dc9Kh8Miakc27cSUMKQrXTvh0C7IfWk2duDdCenm33VJ+xq7pP5opo2ES7mqTOleFrhsV93bdnpuvrNH2rhhivaEgYzbYrmPtrH70tqLmpBh25wTh8dkoKkKKgxEXjAm4XLjWD4/dd2hduvPuUBWjhx2tpaw/JqVyEp2/JimsGVZaOKW10lhKU8TwoGRy0J7P/5ZU0Yy/FyRRl5m4jvFSLS5T9K5EdfTlr8adPfgGPKdBrMBrNwrfd4VGbmtDHp5MlkY0i1fyyp/csgkP9Y6zfMpN1TGcrdzILPg5snN0r73c6T9d5mMvrHBttPnBsWBkLm1dpKj2lA76pwof+vfCn3nob3XrGcavbYkekranMv2gZXdIRd6askAS+vWU9JNEbWF5enZDV2se86AHKfLrqytyKkOMsYDh7LuIz7+SYm0+WQ6CSv6lss0p8OcLu4QbJZORUXUkUmp/8f29XJmGZV6/7wkvW6kaUvsGGp33+7qsUgXdwjc1DfOZL90INM6N12M9ko7Sw5I/emqXzbtxFSwSJdTO+HULsh9RiZ9IHM+hs8flva82iV9PJpOMDa4lWsu7mWDc7sq+jpZLlqbSvSPTvK6dU469E6/fJ4bO8otGbfFvD/OwHYyw2WQuY/wJf6fmOzRwZd/NKMJ7RV8gRlfStIMNLSjcpHyvZHwmTYEL7APaz3YWlEplqXx3/GlbmVoPKv5LV8C5fegrzqK5k988F3oYteuQXR9NXBsEPXL+e+64emoh1f8JMmdKAKHexDJZ3e4V4jCsUEU/aAV6xzXwcUR3LcGR+ZXYc1X8pCIj2Dhn+xHtcOUdPxyJ468dw3Dnl04+PQwuj/4Avi0H5Gvv4r2zcWa5QJqHkVURxX8gywPPL+XfBisVXNjzp9W3nrZm+HflzeHUNbUZ3OOkqZoNZclj/Nlh0H4eFrk77X3g1nWPL07eoBtfk2a9fAlScHV7PpFAdTtB5o6WJnzJV/qZ3Gejqvse38LQkJWVXJZ809KeoNr1fzw9FYjapM/Jf8eRbbimA6TvDXwNK6Poob9drGQoz2i/ESMX7fuk6225WKJKksZQz0QJGUJdv1L7MDxHlinypAe18Rw/ge1mKg9gU1LxCFBbNCPzrP/HQVf+QILPXk4N+7DiZ1p7vArPyo2D2PVjkK5HoyNeVH/V+uSyxESl1vxzfA6XHa4TjLPcvlrMetqCq4nzu2Q7TlyubfAk9Q5PbGzdaiN1+PEdw3LPrJqbxjsfm0frkK9K11JIMrazyNX81B0N4H4vX6ce3Q/LtvUPZXImxXYcn0VqhexUrg3hjFvPfavT7MeL8fpclPWCvY6iBhfp38e/33RfHyxcAny/vM4fG/vTqvnMZa2/mfqHXRBg1yORxCeV4TJRBy4fA6FzZctdSFJPIiGNUcwf9sazJ+XwMTIQmz6UTW8C8T3ucBFuqKntqAtvwPt69OVWRidq8/jqQt7UWbo2rKq55nCy/HgOxhfUoiJzycRf5eVo0V7pyNNW2JHuKMNqHXZFqZNVxSnt7Vh4aH29PX6WidWvvcU/vaHZYYlg0pd6Yn8C7nvKywcw+Cjr6A1bZllBi/HAyz9Sx6ZwBdMX06zcuyz628FWbUTGZIuXfbthEO7wJD7+gvp8yhvNnOhG6c/Woh1OzZhRYbPCGYk12zv9XkInUfP4Vrkq9h1oBTDJ4P44u4Y+n/txauHqlCsuYyTvNzbdsbUJxDqOIb8nd9F9C809tY9pv8HuzAYScDXXI+8vtMYvhvHtY+AFw80wueifc2oLebIdhGytGcU+6FriZ3964Ds9ligH/XmnqONNyXPTvBRVuFpilHpXnnWR/2NxvPknp068s4+q/fg9zsUYL+Vv2Pem5WXendY6v7TzdLhsPB8w4elbzMv8eO0y9SGpMPfeJbdS0xb8zQ6Lm9j9/GzdPBR35KNLG/ifnJe7b1SOQ+aKcWUDI3yE7ISMT2KrJymJtXr8r/aGTIV+bh2dkOUiV6eqoy5p8zLShM05aM7rl5DlDlPQ3J2Qj1uVW4c8RvduZprJ49rPH95hkdzjhoUmSrpNsuJH7cvIxnLdBrLyEyqfIU+W6ZLizYt9te3neERpPQoW3g6zMu1JoLN0reTy2fGpXN/USLt/Hn6pR3j7zH9+rcsX79R4qZZGVYvn7XTA4FOb1yTSRkZ4GXefshWN3h6TKOMWbc3DHY/tzMpw29tljazOiffhS9n2OBmVoGV1ysl0kb1d3IZO8tGJtfpclHWCtY6KH12UWp+rlY6J9I9/t4eqeTPe10tV3I9qijKMdmO/7JL2mCVFiM8b99gMhWJ4bqV0+VtLtMl1zc39+U6bjGSn209zwhRjqqs+DKxEhezCmnbEhtcz/C4SpdSl9y0R1wHNlgsGZTryhG1rjB749vsegPyVzlDKUdWN+T2Z0I692qJZVr0ZNlOZICrdNm2EzbtgoDLO+0Mz/hFad+3aqVTn4h6lCEZyXUK9xp+q4vZnDelU1u15WFj79nIS5aHti2wtGWYTK1kFumWDsntt3JPtZ5NvN/F9IHPDpdIzybl4L4ucmZyhseVTtiQwS5tIbSs1zzIrj74u6gS7YPc2yxAJZ8l4HHmGVfWDmJwUB1F4d+xOPeYl9crI+9iFF710Aoq2lFfsQq+G0GErwbRY7F5wdgvDqCtcBO++6TiCifiXyC2ehm+mu4B2JFhhO68gE3rxKjGXfbbO1FE7Z4Li0/CU7YM8RthRNbWoEadCfo8hmjRQsxXYgb4Jg2ARzNwUvCYOlpcgFVrgeCHbh5EG0X0chV8TiOPAi6zwcEmYL/2AXAlHY0vafzmsShCJnkuhgdRdjcv6ln5DWpDLdDGNyrgZaU9LkY8widbgJVl8lW8rJwdR0llwmiTZ1XUc2MI7G9hGsVnLJRrJ68h31Px+vm1lXv7UbWyEX3iXEVnlHSb7s10J9q01XnUQOioPCOV3JiBz9Lpddy4scHoiFq+Qp9FetRgGm3gm3Bs84m0FMCzNGSrAz072D3lmaB+JvtUGnjgs1DyRhLZbpiQiCOBQhRqn8BMDODIX53Dc9vWCb2YwMStPDy5NN3IXwLD4RCKX6xMjnRPsvoUGhlVIpxHF2OF+OiEnGdtXqewIYRCGN0XfNhqq48+1B8Dqk2bFiQQv8NHZfWPqGbd3mTCp6dxoKMQm1h9le9ybxzjYyuw4ok0j8smhhG+VIwXK9TfTbL/Qojm6jlQt+lyWdaWOsiODPysAefW1WCdGBmciI8ib7kH6bQwE9Ry3Cra8cTn4xhL8zA9J3o9hMT6TXhOJGbyXgKJG1GD7jDuxBH/3DkkLHZdcpuugiKXD5vfmcT4kgImZQ0Z1vNE3Dr92mDOS6oc1Q0/xj9n7cE3n4TTthv8d2nbkinhNl0FKLKYXbBi4rfj8BToJJyqK3+i1pU4voiVYZlVsTEdspKpLsQtdlBIlqP6YP84Jlhdd97YhOG2nZjudNm1E5btQoYU+LD/3d1YeOYAWo4PIJbJDmeZyjXre8UxuZTpBLM7w9d9qEluKjKO2EgRFhpnjS3llaltp4XZXIE8VK4xCzq+oBirFkURuVyEHTtUOcQxfgvIX6Ck8n7AZ6pMNgHzG+TVPXazb2n4PfHXBdbLcTh8eqn6uIg4IC9h4kug1nNjl9OD0uTvlOU6q9ZGUb6DmcLH6sVxlSj6z4RR/HxjMqPRSD+Kn34xbcZlx6WcGZ6i7BIjEQwwpah6RImbyPeijOnFwH8+j+Kv1yR36oheuYjxta/aNOLMUWEG1VabKT3u/IQucRW0SC03vMVSMJzpQs+2Ghhzb49ifKfgDpNHNw0ZvtSDqtXGK/LzmAHPPtmVX0+puhRLwJ2O6qg8ldi0pBnN7JDVb8tLmUMk4GXuu9QFD9MduZomlxb1oZFdIXqbuS42MsuG2CdReB7LoCrwPKmOnHaZhLx8jX9QCSN4w758bZENJK/sXHXd4E6itQ7IdYMvaftkleLIieMc+ylqlzAjxmhCJAY/wOk7L6D9CXEgzhviF/Bcmv6T10PeMH7rT9TenDl1zNkuft5dj6UsR1Rqf2pJo4APgpQGs57m5s5uz1Lm1IioJcyh9i+tQ//tSk1bxjpz085vmbQ3cQy8eQCBGyLK+S2T03gQ4x9p5fJVVP6wGis0h6KXAwg/UYlGNS2RIfQWrcCb6Sx+1ob1F30Llaqh9mmUtWnFqNS1afchXXZY6CA3Nj44lcALHcvEgTii4QheeF6Na4gPwP96ADdFlBP/NILxvx3HwFfEAc7SSry6fYVmdyVzOQ6He1H09JtpnColLevWqIZJgpX/AFBUZdq5Kf5PwxgeFxEbCotXwKMrm2zT5UB8nF11sYgoZFbPExgfGcYoc/7tmY/FX/fql5yZyjGGyEdMdustylGHy7Zk5DxaftYPbqqrxCIR4Na4ri7OL6tB43qNl5F1uuyJfxYFtPrGMNUVXjefKMOL5oZCHjiIRkZ1eTGxYDGeelK/Nb6pHGMRhK6vQ2W69tpVO8GY6XSpWLUL2fBIMda93Ih1n0dw/mgLBvLXoealFUi32iyr9Gd1r3x4V7KLDp7D+SdKUaPKf2QIFz/34VWn3SKTZG7bqSQun0K8cjc82norKOKD12MBDIytQtVScTARxmBfGVbUGVs7RtZtcWbwAf0+7vSUKo8vKI8gODzK4AYx02OCTxulprPSLyXRIS8fcZqs0k+56R7mtp3q4lOf2qk/5eFDPm08caVfuukww8jzon0QdKj9WenZ1o/FlKIdxp06lDi//2RkSBo2/pin25Bnfl/raXIuT55HJU/JZWlcbjzuKDtj2RhRr63C72EhT8upUI5IEytvpzK0TIPtNVX4tdWydtIpVS5OwXo61Fk2KeSy4UsoeXpZ2fFyUpZJsHvzfBuXl2nLN61+p+D3UdLL8hqwXrKWXN4l7mmcSnabJ3vMOiCnS1tW/IF0vpTo7k2p/0One/FraR7olHV2u3TqExHn8Ic+rfRAI8Nkng3I5aI5npKfGux0hmEsMy1O3zHM6VF0MHXMfXsjw+TiZukYv6+2vvMHeEt+3C9NfjYk9d9wuAmXJT9PRGU5udnNK9fpsitrE2YdVHRHU553P2bn7JSXH90MfZz2mu6WURjLUVlSwh8Idi5H3j5pNguQH65/VjrwYbqCd0sG6eJ10017w+VpKIvs63kGGMuRP9hfosjOuRy5DNK0JTa4WtKWQbr4ZhH6+m8Nl6exHTHWldGf75RKfvKxJKWrwxlgLMfJ0AFlA5F05ZhtO+ES1+mybScs2gUNJv11y8SwdO6nzVLzWx9LTvsJZC1XLS7vxTHuECjHue5MDktDEc2PLeWVvW039NZOqfYv90n75MDs4W+VSN/cWivtO9Ivn2fcHVKOy9dg9siV9HKY1iVt8rmsjmWjBwZy9+JRPnKvnX46Xm27XCXGZzHUaTh55NuHVbLXGkbbjigam4Bq0/KWxfCsFB8Ziaun0TNYBs9jcQx8OIr5zLtOXPNj17YGnDeM1uYt0PiYzJPt+nATjr68AnlIIPzmLmxpOg/TMoXbwxgaewFPqZ7+p0Po/3wTfE8mMBCKIl/nzccQ8LN0a6caGaklUEa4B87fWaRs0iAv/RtrQ6l4qNqPat07SjKDL53qQVD8PtzBH/43LvFSlpR5qg3TgrwM5Qfg/KiCD02rg6zsrN/BkxXycrMmFw+2GZfZ6Ze0KcHay+fveMKFfnN56giju9kD3zMiyuDLq6qPK2VimNeSCV9KlW/yvVEuUJYd8vQypb7Q42r2yVvrh6e521bufJYks/cIzcfCoqg8m6bCZxyTKnxvDIG3TwNPeFD06xCG5DGZGM43bcGuN40vPuTXEh95/TnJfte0H5v+SBzi3I5ioKjQMLJjXUcc4dPX/IFVTbn7t6WWHVrVEbvlMHwkzEn28/OLEP1EK9P07U0uWLxEWRoqcyeMwDsRlD2xDJOD/RjNYze5fR4N23bBf82wnGTBwtRMAPtd90mg8bVNOVsKljZdKrqydmhPLXQQBR54NEs5xt7rwWkUszYzghBT/mxHBvUYyzGAd66XoXjpZJp+Iw/52m7jvS4MbDyK+qdzVPAu0qUSG4ui+FE1MXb1kvGVfORf1i9lSV/Pc4CxHM+fRi9WYNkStRzt9MJFWzIV0qZLJYaxkWIUqaPudnWOwW0JYxtjrCunTwygbOlXETfWlSlgLMdz7/YCpcvgSddeT3M7kT5dAss+gWPRLuSCfGUWpvE7hYieaEXrmYi5vjBcp98Jl/fiZTR8ZQwveNUZxjEMXRrHJmZLJAZDiH5FoyuW8sretvNuO4L21/ZjvxyasOkJdmxjE/bvLJPPi14PovjpYvGbBEvneZStXYWCkYsIT7qUw3TBH3M424iyy0H0T1FPcufwGOE7fGkMFe2OWbIRKBvTzHDhz3bIS4qUnblwjBn/FfUWRn8Bnqvbi3GmUJ2HW3Hslg8134kj5D+CsWdeUCrw5ASGR4IIDuqb1fw1u7H1l0fQerQVeztiqPoPzFhW1wx/Nozo3wYxYOyhb40iXFGaXAaHR5dh1dciCLxxDPHySn2DcbUbLUtrZEM+9XLJMILHWYNrMu7VfCpyUXakY3Lgjt5ZZYkPN3ixI/sXLCq/V4zCaiZJ7VIoeV1kqbJDR2o5EU8TO58vq9M6EvLzND4E2Xc5eeknX4ueNOT5UjzrJZJTYlElmtYGUe7gqHGHW9dQGJ9VMu6OpXPKFfTGcTp4GZczHfGbnzkSpJ7h4TCHjz9rYvNMC68/NSPlGTjFHhSvHMDoLRHlPLkVB5eGcOiNTrS+wRy47+6GN3Iare8X4oVSrvSTmGSN7tCJQQwrvxAUo6q5kDWqbWhrZkbikv04WKHvPseiinGsab4ZyjNMjs+YMDk3c0dUKyPd+uQYojfU576Ejmufx1m+FY03qk3rfuVllzcaHZ7tYRIqXoWBMZ2pmL69yQEFa+uxd7yHtU2daDs+Dt+fVSL+9104cnsVXuCG3+QkYiND6P5IXwp4vAr7C5m83mhDS/N5eFoO5vSFqWnTJTCWtW17aqWD87zY+roHoZ+2ofNgK4KPVWH3kxGcPngRhRV8QCoXaMuxDcfG3fYb+fC9vBVhVvadB/ei7XYVOl5Wl7flAhfpEty8MYAVyZdG2tVLRr4H3ieiGNNmI209zwHacmT62G9RjtZ6kb4tmRIu0iVz7yaiV5kjpOq1XZ1j5C/1onhkLNXmMLR1pfXNMdu6MiU05djW3u++vZ7mdiJ9uhSs+wSORbvA+TSIzqNtOHRygNlXnWh+vROdHzh1HjawOlG2fS/2Pq/dWVeDy/S7It29MIrR65UoFc+EAoVYVrYMkfdY/xJfh0qHdlUlc9vOAJfrG4dwmtkOA2eYTN8NI860eWxkMZ4rVduYPHzV65N1uPXyMmzK2SAPIx7GaV5PfhZgkQDamljdlNOQBv7c9TEPWtZPcQBezPRoUKba9ctIbAKfipOnjS2+swrytG/q+vLUcPL3xqUq7LxsprDGz0ndaXc40jP+Xnf6HXtsMU4rGvLnCJ+itDmPT+PZ5J9Pw6a/tgF1WtA4jWic9pcxy16e+tWcZ5kGi6lUE8l0mINyPUUmVt+bgtO9DPdJpVVTXpbpTd1f/Y15uZNNGq2WnYh0ZFxeHE3dMi+3MOqdM3yKOv17R8wMvdUtpdsHSA9/b4jdspRU3VD1UF4Okjxm1ENV71LnGOUof6+Tu0XZWJWLkUzexeEGVnZZv+/GxJDU/VZmpWBLTtNlXdZ27Wm2OmhHxssonMii35gZhi1fQmhXLzN5L9JMM7V+Vk/27+GxINIlbTQtcberc6w8Nrh4R8t9IvP2eiZw6hNy3y48+DjLy4SdbTeD5LQtdkDu79PZmA64fPHog8PE+W7p3Gci4ooJ6dxb59j/BDGHmWTOxve6pGE3Wyqr8G1zT2TYfX52Tto33S/4nRYmmRG1Xer6pYhOlYl+qffvciSFX3ZL3bMxXZZl7dCeZqODDkz8Xa/Un6OsZN5vzBC/7JK2G7fIdaqXfJDk1dnYn+W2n70Z6M3Z4MTwz1i9N7741KHOcaNrz/nZJ+Gs2uuZIF2fMNV2YXJUGvrwY+ljpxAeTfPMtktm4l4PYB+ay7Z4OplbDg/rzE+9l9njeBOhU9K5XD3BRxCzmMkrh6Xm99yPjdx8rzv5fgx3TEoftzcn33nxwPGbIenw/tSDm7ODm9K5E+o7G2YT1mWdrj3NVAdnhCz6jRnh7qjU+6NDpjqYrl6OBpqlLvXdUbOEWdvPjvZKze3G+pWmzvFy2d8lDc2ySpl5ez0TuOsTptQu3J2UJj6bcA4TOSqsab/XA96HznK+xP8Tq9sIgpjjjJ31I7y8GuorqXJJ7IM2nPvD3ahS31v1IDJ2Hv6rXlTn+E3kc42plPV06uDcIYHI252IfrM+CzklED5+GthYlXxWlbAgEUHP0Sh8L6/Tb7Pthjth9LwLbEq+T4WwIpN2gtqFOdKHzmLI4SEIgiAIgiAIYs4yfbu0EQRBEARBEARB3GfI4SEIgiAIgiAIYs5CDg9BEARBEARBEHOW2ePwxCOIfGr9ftqpErsWxtg9ESEIgiAIgiAI4qFhdjg8d8Lo7BhGftEUd6b4VQB129agtLQBQc2rWwu+BvS+HpgdTs/VNv3b4QniNtPb0lLSC4IgCIIgiGkg9w4PN946wiLihgTCx7pQuKUy860hjTxeifbaSuAJLzz54hhngRc71kRw4D0X5iR3SJjxWXcmA9NT/Kbtqog7ECvyoREtKC9tgyspZXBtHdnkw5Ew2iyM8tiZOnafOgRuiwMuUH7jMv+McAfPP7+/+99MO1zPmSzCLC/ZyVjIk4f1LUBTHwYbgGb1WDKky3MMgdqpyEVNh/syDHewc6861XOepsx0Yur5IAiCIAiCsMbG4dEYY5ZBb5goBqz4jhlvoePVmnNZcBq5/rQXbbcq8dwSEZ8ikWtB5JUug0fEVfKersRTx7swYLFqjhvUybTu6JGPhZrLNXnI1Hizp2CRF5UdfWhc2YPqnBjwNmVlmY/U/XR5NoVpNDyZI1beHAJWRhFVnTh1hsMmVB8HevxR+JqiCGbq+FlheT+7PHNDXPu9iK+PwrO0BcHHauC50K/Xb3F9vSMkyslYF7b5MTg4iPaKAmDRKvhWsmMrG9HHjvm3KadMDa1+CEclGeehGjg2yNLQjspF4ieCZL1OOjZK3oNLfAhe8qBpSVCuF7r6L4dytFwOoWW99lhKHta6x3/D64TmGM14EQRBEASRC/h7eDJhPFAr1Qbs3og7JB36fm9Gbyq/eXKztO/9CRGbKuNS7/dLbK837N8gHQg5vAX3yiGppKTEIX8KXAb8vHTBfB0mH/5d+xD7rKQ13b2kW71SreW10uAyL0nE+SUlh1gqx6XxW+J4EpF2Q/kqsqiVek3nW6C7hwsyzUNaFJnzax66Ij7LZcFy164cN99L/Y2aZmNcIKdVlYPFOaIc1fvpdUFF/E7IWElTOlnx3zidk6qTQ+2GcuJpEvdP1ms1nbIsek31WS5vXZqt4GlyqRNJ0uWDIAiCIAgiOzJc0hZGdzPge6ZAxPXEzgQRlZdr8RFa7ayIMspsXpYVQ+QjwLtUu/5MEBuAv7kFnUdb0fr2abRt7hQj7A7EhzBw2YP517vRergNDXv8CN8R3zE8xavQGx4WMSMsjYZZkdQIvRgl1y3hKUPjWT4yzsKxKvlIlTxSzsLZRvZtOgpQ2cFH9qHMGNiNZi/yyLNVoZFRJa7OTlier85GsCDy4gZ5hJ6dX8aXVQ3Ww8vSVpAc7VdnCKohX/GyWr5KkGdrkBrNt1t6J4/qy2mqgl++RzpYXvz8/DJbfcO9KE6/3oC92/fi/KdjCB5rY/rSgl3bWxC0mJELd/BZBKXc6pePInpZfMHw1iozKqHmZsNsnjhvpQeL5XgBPEv53yiimvN4WZRxOezn5VKAVWu5BvSkZqTGouxbds4S5SpJtLOhHf3iYCbw9GjSouqHw7JSeUmaLo8x9F8Q9XpRJdq5Dg/64WmOwtdRye6QouAxpo3Hu3I245maHeJlIw4SBEEQBEHkkIwcntiZLkSbmkxLX2TkpUrMQGpQnQCPZklLFzyykSnOTTKK4UseFBrt2c+DaNnag6Kdjdi9cy9qHhlEz8LFKBRf2zIyjOCCIng37sbel+vxyjeGsPNYyvDLy/8XwPWobJwaCXcIg14sMeprYuZrcjkY+44vM3ppseVv0+L4HI4wjpkj0W35/WJ4+DIn1TBWn/cwGKIcxaDnDoVbp0txkBSnRbP8TedMeVEvDGDZrRPLreQyFnLSOn+mMhYGOF+WppznxtnhutYsG8BldvrGiH/wAeZXs++Lg2g+NIBl2+uZvjRi19cDCHxoKClWBjwNyevdZk4C+6N1QLwvcZkxp+Wks2u9eAnPcwjRMSXOKVhejxq+BO1yEP3MGSioqJHl1eNXZBn7hN+NOd2PGUpN6JscaleJg5miWT62Pooa+Vr2UvauZnVTm8fb/QgurdHJOdzB66x1WZVt8yAoO3YC0xJBqyVtFksG2e+aL/iEPgn9IgiCIAiCyDHuHR7u0DDjpIk/a2CEGzx+DzNc1OcAxGxJ0jg2Px8gk4gjwdyYQt0ETwIDP2vAuXU1WCd+MxEfRd5yD4qUqC3R6yEk1m/Cc+LEyXsJJG5oHJxHF2OF+KiFzz5wY1ieoeGGIjfEhBOQNEi5g7GowORkuEExdsvgsclAwTM+2TnpuWQ0Cfnsihj51jga8vMeJmKI3mB/tvl0RmpyZsiIbKSmZjySRjd3lORZnKk9x5McuefPdLG0N2byPIoqf/Y7S30TxBcUY9WiKCKXi7Bjh7rpRRzjt4D8Bfod/8KXDLNFYsZF54CI2TQdV4OKI7zUkyx7eZaDEf1E71R5V3OTXXWYvPDJDlCUufV8BoXfrQo+k9M/FZTZt+obWifUhUPJnDOdQ8RndbRxJv8u6B0gHUu2omltEOXqLFJyVkgN/Bk1g15ZpYuVAdauEnLljr1mRowgCIIgCCJHuHN4uHFsu0QqhsD+KGrUGQd5NoOPDvtRJRt7DsTj5u8TA/jgVAIvlC4TB+KIhiN4wavG7VDOW1fqhWLqJhCNDABFhbBYMKchjKBwdvjshLz0ihvp4lvTEqQkmhFsIZueHSKu+T1ndEQ2reGxMyCZwSjPDhwPppwMWY581knM2FjM6OgRS62Egxf7MKikQevwCWRnhKdRduYMzihLS5M8a+PO+DTnTTHCy5uRMnhZ2k2OhC1cn4T8mOPV7LADWhEzqgvGhjEwtgrF8jIzRiKMwb4yrPBalXoqnYoTanBAxKyPFsVRYmeu1pjry33ybETIuFnB8q3M0Gd/hcz5MjnZ0L/aLWartqZ3RtwiO6xB+FzphoYPldnGpJ5ql9SJmT2uO7DVe4WCiiY03tDoa5YkHXImoyBzSI1OJEEQBEEQxFRJ7/Bww0pdJlMdtRj558+iiNFb2TECM9BtZnSMFBSZDeHPx5kTVMYMWDFCf28Y4b4VKF6Sh+jlAZPxniLB/Kfi1PNA7HcDZ/Owac0K4QAx7vKzjChLtrizwx0BZdlTn4slYZoRbMdneBSHyjjzkkR2bNoAeXZAdTK0M2QuRuwF3lruZCrP2KjL1LQzEzq4s/NSVLMUKfVchzqDoUcsbdMZ1yJvyedbOOoSOJc6oIMvsVNnnfgsATOIm8sdt32OXx/AAHNGlolCjl86h9MrfVi1KIbwVbvfiRkXY5kYn7PhMx1y/hqxVTczo87eGJchKs9l6WSkDhakma3KlPBJ5uy4XB6oPnclLyt8pl7RUVVPtUvqNOk2Lb0TcEdR+U5T7xmpZ3F4UJa0aZf8WbK8Hn4Ih4u1G761NveV64heRwmCIAiCINzi6PAoMwHc2RGGDV8KcwyotjE8+Miw55h7Ax2Yj4VF+oe/UeCBZ4H4zBh7rwenUQxPUQQh5mnlM5cl/OYubGk6b3B+8pCvGdQfe68LAxuPov5pzdKm21EM2M74CCPYhWFaUNHubNCLJT7y0jOxJEo3Q2AFly37jfYZmLLkch+3qM6GMGbZEasZKjn9tYuVmRTZ4OXORUg8cM+MabH8y24Jnor63FNVdQYzDLZonR0uW25Qp5weu4fwo9eDKH66WNw/geEr5xW5jVxEeDJV0spyM6Fr8owLu89L2jIRTiaqUCOXf2qmySp/yvVSz+hYIg8W8GtUwW83C2O5aUEU3bXCQbF0lPnyRYcZQyOy48z1wr0Taj3TomxuYNILvtx1pEbROzko5Zac8XTYXlqZBePBh2izxbUZ4Ut8EIWdc5adY3w2iyAIgiAIIg02Do9YliQbMQYHRnZ6+IYEZqeHzwykDEBufKdzfjwoXjmA0VsiypnnxdbXPQj9tA2dB1sRfKwKu5+M4PTBiyisUGZrJj8bRvRvgxjQ2T758L28FeHDrex3e9F2uwodL6vL2xTGohGUPbFMdyyFWBKmLsPTOi1TQefIiA0INKgPs+tRzjPvGOYSPiLODW03swry8ivmXFQzA14zE+C0WYBsyIvz1KWAU0K+HnN2wA1zrVGecnpkx8Dk9MQwNrIYz5WqM1J5+KrXh/jfd6H18jJs0jq7rBz6mqAsQ9wRFU6V8pXyXhjuvHFnS9FZZQMI9oE5hJb5Y9eT35PDZWZMl5BPatmgQz3QzrAkNy3wYCufKZKPWf2S62oPqh12YkvB6mEmS94YfMMFj2lmTTikhs0N7BFLMXmQX6jq9EwYb2+qbTdE8a7mgyxcnkF47HbsIwiCIAiCsOFLfG9q8VmBG8vysrQ0zgo/j29UYDCm+KxQcjmVASvjOH6hATtjNTjxXfdPeXBiZ3sw9I0q+KynayyII7ivDuM7/dj0R+KQBeoGBlbwpW6WDpAssx5Xxr+lfLjRa2HYOqWFY76fYjjK8xSuHJHU+SnUGRYRTaLOwCgxW1nYoOTF4tquZMfTyZ9XSedAZ4a2LPT3j7HvupnD77NxOFS4TJqBBjVPGnnalKkzQsbc8XPhpDjrh105MpIzTwzbdJp1w6nMjXrtVj/U37nTV4IgCIIgiMwxOzwzTYIZVn8+iOeOVaNY3mXLDXGcPx5C2bZ1aTYk0PD5eTQczMOrr/nc/4YgCIIgCIIgiAca99tSTxd5Xuyu++843ed+bX788jlgbQbODhIYOD6AFS+Ts0MQBEEQBEEQDxP3f4ZHMHbWj/DyaqxL86B8NsQ+aMO5P9yNquXWT+8QBEEQBEEQBDE3mTUOD0EQBEEQBEEQRK65/0vaCIIgCIIgCIIgpglyeAiCIAiCIAiCmLOQw0MQBEEQBEEQxJyFHB6CIAiCIAiCIOYs5PAQBEEQBEEQBDFnIYeHIAiCIAiCIIg5Czk8BEEQBEEQBEHMWcjhIQiCIAiCIAhizkIOD0EQBEEQBEEQcxZyeAiCIAiCIAiCmLM82A7PtR7U/bABDb+IiAM2xELo3NeAuoNBxMQhTvjtOuxlxwO/EgdMxBA6yq7/g1YEtT8kCIIgCIIgCOKB4EsSQ3yeXdyLIfxeN3pODmD091g8rxBPVdRjV9kYuvryUb/ZC1wNIFBUicpFyk/SET4TwOKKShRYxX8VQN3+NoSul6H1g/3w5cunKGR4H4IgCIIgCIIgZgezc4bn0/No+e5OBPAcGrtP4MRxFo61Y9cj76DiO3UYX+QRJ+aQxyvRXlsJPOGFR+vsOBJGW2kb+99IDIHaOgRui6iG3929h3/+zW+RiP9GDvwzP5YrYmfqUHeGpqMIgiAIgiAIgjP7HJ6xAOq2dCG/4QQaK4qRP08cZ+SXrUHlnTKs8Lr2SDIici2IvNJlcO1O3Y4ius0Hr4i64d5kAtLvfidikD/zYym4s1SK0tL0oe2q+IkBz2PqHJY93DGyuqYcagO6pX8EQRAEQRAE8aAyuxyee1Gc3teC6At7sXt5njioYd5ieCrK4J2WpWUxDF8Zg++JDGaPxqLAksUi4g6ts6OiP1aAyo5BDA7qg38bUNbUpztWv1z5hdZ5KW8OoWeHwYHhoUM/D1VQ0a671uBgHxpXsi9WNqKvI7XsjyAIgiAIgiAeZGaVwxP/oAtt14pR9ScrYOHuMPLhfelbDjMwCUTPtKLlYCc6WTj9ZgP2nnU5VxEfwsBlD+Zf70br4TY07PEjfEd8Z0Psk6iYTTHOypSj5XIILeuVuNVMzGj7X+HXt4D/58xfYdhmpkaFOzRdS/rQXlEgf267yu+XWkqndV64Y1R1TOvIiFDrMA91O4A6luZoNTuPnB2CIAiCIAhiDpFTh+dv/uZv8Md//Mdy4J8zI46BD84jUfQtPLVEHDKRD8/j9uZ45Ph2NIytw6t7dmP3D1Zh/OR5FC1yab6PDCO4oAjejbux9+V6vPKNIew8Zn46R8voCOAp4p+MszJ8tqQMjWeVuDoTo8eD/+FR4LdR4Pf/J3HIkjC6L/jQxJwdTkFFDeDvx6pqoMvmWR3TDI9hdkdLuIN9v74FIfY5+TuH8wmCIAiCIAjiQSKnDk9HRwc+++wzOfDPmRFHnNvvK4vtZ3AS2mddDHx6Ggc6CrHpT7zK7NC9OL6IlWGZyxVq0eshJNZvwnOyAwNM3ksgcSM6Dc+y/BLDJZtx6/h/wS3573/D/7t+M679g/jaQOxMF6JrV2lmXbyo57Mwy+vlGZ8kV9tkZ6X6eGqGp6+pTFkGtzrIvjNsoqCeD7/GURO/W9JFTg9BEARBEAQxJ5hFS9rmQ/ZUFuTbLGdLIHS8F2MiZiR6OYDwE5rne0Yi6GfxYlcTPHFEwxGsKxXOEl8aFxkAigqR++0R/jWW/cM+LCj7Hpb8Qzv+Zdm38eg/vI0nS8TXBkZHQuk3IeBL0nYAfuHkKITR3exBDXeKmHM0eMyDlpPCieHOziWf4uBYLHUrqGhC440uy13mCIIgCIIgCOJBIqcOT21tLf7wD/9QDvxzZhRg2deLgCvDlk5N4uoxDD3xAsQEjIn4rQig2WFt7JcDGFvugefzMEK/dpgZkkkgHi+Gd6lwb+4NY+BsHjatsXuWyAq+RbVYEiY/wyMOG7n61/jHktdwJ/TXGCmpw/8b4jM9f4Xh/0t8b2DxEtWBsSd8Mgjf2Xp5t7iCxzyIfhJGoLYaOKYckynyIHkl7gDJjo42zdrttQvgWSo+cuRnfJTz7HaGIwiCIAiCIIjZSE4dng0bNuD999+XA/+cKcXf3Y+qeBsO/ELv8sSv9aDzxnPYsdLe/dA5BnfCOH1iAGVLv4r4YD9G89K5LXnI10zljL3XhYGNR1H/tPPvFi8BoiKp4Q7uYKSWhfm3iU0LjFs8L/8e/s3Z72Hetn34N8mZnh9h2f8ovjfAHZgef2bbRIeaq+UNCLTPDsU+DJp2lOPL5ZJpPgZUJ9MaRvA4cxbFbFnswyhzqPh5fuASLXUjCIIgCIIgHhxm0ZI2xgIv6t88irIrDdiyeQu2bNuFutc6EZpfifqNHsfZloK19dg73oPWo51ofXMMvj+rRPzvu3Dk9iq88EfiJFvy4Xt5K8KHW9F5cC/ableh42V1eZs9ymyKlSsSQ/SGsmlB39ogyo3Pw/zTGORXjd4axeTXFuP/Ix+0YXk9/EtbUG75glMF72pPcke4Ur8HfcyBSTk7yg5y5eryNgPJ9C/fikYE0X+bz/owh6lpa3J2qOAZD4Ly9ZlTt9q8BI4gCIIgCIIgZitfkhji84PH1QACRZWodPlenvCZABZXpLZdNsZtsbsPX+p10oP25PKwavQo38ibBeg2FRAk4r8Rn/Tk5f+B+GQDf+5mh3p1ZWMC693fFPjua3wDA45dWhRnyLj8jjtq7a5lShAEQRAEQRCzGXJ4puLwZME//+a3ppePfunLX8bv/8FXRIwgCIIgCIIgiFwxu5a0PQTMm58nOzgq/DM/RhAEQRAEQRBE7nmwHZ55cQTfaEDDLyLigA2xEDr3NaArYthk+osgDrDjgV+JuIkYQkfZ9Y9HkD9PHJoiX/69efJsDl/CxgP/zI8RBEEQBEEQBJF7HuwlbQRBEARBEARBEA7QkjaCIAiCIAiCIOYs8/5PhvhMEMTDyrUe1B06jVB8MXz/S6E4eL/gS0n/Hf7T24NAaRk8C8Th2ZJGvkT2tf+Enn8E/tcyD9Tk5YYYggf/D3SdjWL+8hV4LLcXzxybvIbfrsNPToZw5498WJZ215fpI/KLBrS9FcDYo8/B+6g4mCtiQbQ2dOFcdD6eKn0sx+WcOZZ5nS1pnNY6MXv0TWaW1wn8KoCGN/wI3HoUzz2Z60pBEA8wfEnbrOPWx1LXTy9K4yI6Ewy9tVna+K0SqeQvL0oT4tgDx61eqfb7vUm5DbXXSr23RGQmuXJIqg1oS29IOlRyiP1vhB2X0zsu9X5f+V5N83igVjp0RTnLFeFuafO//aZUUrJPuvjAFuA0cXdcGgockvb86WZp81YWamqlA4Gb0sR4v3TohCiVK733R1e0GMvQmCZdfFzqb98pbfxGibTBPyyOTS/GNmIokKprrrk1JPW275E2i7LY/v0DUu+NCWk8dEjqDvMTWF0ImGvKzDIuXdy/Wfq2RrbGvOriEdbubJ3Bujd+UWr+029Lz5ZskLoiLM7avd5M2grO3Qnp5t91S/tq1DqxXdrzs4+l8Ymb0qmfnVPyls11c026vOric7VOZHndHJMur/r4sNT7ymbpmyUl0r73Z6BSGPWEpeT+tyNG1H5e7fcJYmaZVUvaYpc7UbdzLxpeb0FnJC6OZsG9OKKX/Gg4OgC3V/FuexP1a4EVpctg2NrAmSzu5ZZwRx0Ct0XECv5untoArF596gx//479i0zTwu5bd8Z819iZOuXlpzt6EGouVz7zl65eDaKH/avmcTmo+fLCt5S/7FT+OSOM4A0fVi0CRkcAT5E47IYnq/DmD54DSldgWUYFOMf59DxavrsTATyHxu4TOHGchWPt2PXIO6j4Th3GF3nEibOAjMqwAGW1jah6AlhVPDN5yLqNEIz1teDF3QFgXSNOvK2Uhf/QLhT+vAIbasdRtESceN8pgG/fftSw9PieLBbHHHi8Eu21lcATXnhmou4V+ND472rggQ9Pfk0cy4R4GP4/r0DL9WK88h/VOuFH65oIGp7fgp55nvSvKpgpMsor1YnpJLO8FqPyYD0q2V/v0hmoFBnoCe+nrfpv2Z4wviQ9J4TRJtspBaisBrrOLMbWtUF0XxVfM/h7A9s0cXeo103P7+7ek18Jwt+DyAP/zI/lBv4OxinYU8SMMascnoKVu9F+tBWvfDPLxlp1Pn70DsYeexH7d67IoBGOInI5D08udWllT+ledvCKozoF/MWhIbSsT8V50DUKy+vRxxqO5jNh5sCw79e3IHS5BeWm3xsr4yiiupeN2sBfrKq5dzJoHRoReLoKKtoxODiIwWNV8stO5c8vRVHHzk/G5e+a5Hca8YZXSSN/+Sl3iKrRw9LffZU5Poa8u2kMo5F+5C33QF+C3LlL4zhOAXun1OK+vEPRyMw+5KjxHGPlt6UL+Q0n0FhRrNtpML9sDSrvlGGFN/ed8dgHQYyJz5liXYY2xIcxMFiG4qUZbOueYLr1UbZDExm2ERrGmK5v/Fk+Go83ovJxjczn5aNsTSUSK1fgqVwXxVTyGo8ifL0My1w2xZFrQeQxQ3Cm3Of4jTAiq5fhq5lucHmHtbHbd2KoghnWrM0u0P7+az6sY86C7+sunLwZJKO8ZlMnWG0NfpB1jX2w6sSUyDCvv76G4IIVWPZHIj7NuNUTPpjoe8alS89tADsnyOQg8T7Pqj9T+nXZLhG2Q/lIjf2L07V2h5NDwwdSl7obnLg3mdC9/5B/5seSuO2b7dKz0oPF4qM9evvOGDJ3+IiMETM9swq+nKkkkynPuxPS8PnD0p5Xu6SPRyfFwQwZ7ZV2lhyQ+tP9PBf3ckHGS7o46Za08e9LSqQSm+D6fqYlawKL6yvX5FPZPC3WS9uG2sX57eIbfh2rz46MSr1/XiIdCBnLRDN9ztKtTVsyWOhaMk3GoEuLmi8RNeIq7Vwm07D08O5N6dT3SqQNP/lYstZSJq8fnZJuilgul7QNtVstX3SDoQwdl7QxWHk+u6FLymjxDiuTQ1a66wZDG+F6mU30lLS9ZIN0aMCmvWDXbT6plkQOl6JMJa8DrK5sTemH8/IdXg9maOmO4OOflEibVZmxfLpbejYp9f/4Wbm+j94Vhwx8/BNNH+D6utOLY16N8WzqBG+DXLWxFsxIncjgutNJmrwa47IdM4NL5HV6wuukZTvC66pN+8z7R6MeWB3T4G7ZvN0SNqXdUPtWbivIMtPYCLwf1tolyvea/tgqWNxrcuILy+AIq1u1FvaKAu+3Le6tCy5kI2ySjG09Iitm5bbUfOS//IIPfR2Vzt77vTgiF7px+qOFWLdjE1YUZfYCz9igHwfeHceSRybwRSKO0+MO98z2Xp+H0Hn0HK5FvopdB0oxfDKIL+6Oof/XXrx6qArFlpfhMzZdaLkcUqLb/Bis9cofU7JZhf7ackSrB1FfFEAdn92Rz7Cm6hg7LzmiwqeCo9iaTr46+OhENXpEjM/YtFdY/Pp2AIGTUQTZR9/qelSq9+QjKDvYrzV5UUaEeB764PF3w1MNVF9ieVvSlSp/9ru6T7Za3ys2AP/BdzC+pBATn08izsrSd7Zdnj1KwkeLTnrQnrynA2oaGXp5peBT79U3GoWe8PSzdHfUw+7qfAYo+pIhTUn475uBBrvvsyd+oQHlP4yi/t0T2GS5LCSO6K8S8Dwu5HqVlVtRpSYdCUTPtKEn8i9kHSksHMPgo6+gdX16jQl3tAG19jLR4VSGxjQZ4pE3K7Dl+ipUL2KV6N4Yxrz12L8+zegr04e2D1eh3kqfLHBqI8JnAlhcka4OxRHcV469n9bjneObrGdAPo8ics+DYvlCTCfOjKKyQiO9O1EEDvcgks9OuFeIwrFBFP2gFevSZSGjvCrlfeRqHoruJhC/149zj+7HZVFvjHnVxeNBNKw5gvnb1mD+vAQmRhZi04+q4c3lk+uyDI4gPK8Ik6wccPkcCpsvK3WUtzljTC/sRoxVfuXHi5s7saLjMvautGp4Exj71TgKHy+C/K3Fdbk+dJ797yj4yhdY6MnDOaYPJ3a60nT3ZJJXQzyrOsHb9g6g3k0byZj5OmFx3WzrRIZkkld9nOdxDY7Mr8Kar+QhER/Bwj/Zj+rllh1+djjpiVU7IqPp+zX9nYmVoo9z6n85TP/s+le5rzwuIur1RNRI8lydfcByweyd7sfabfpip75VD1/Ghqt/jaFPnsdTT1/B0MnFeKruX8vvQrSG2ztB+AZ5PyZkVh1Fs5UsuAz2A00O+bNCb0sQM4Ls9uSIM2fOSGvXrpUD/5wtrmZ4xi9K+75VK536xGaEKA0TwWbp26+oI30T0rlXHR70nMK9ht/qkob4aPvWEmlj+5AYbVdGNqy9ejHqkRxV0Y+CuJlh4PKznIFR4SMX4jqWIyY2Mx5qeu2uL8+K8N9eUWaA5N8E+CgJO66mOzmioU07/6yOpCijQb3pNi/47KLU/Bw7Z1SJTpzfI5VYjWyKtOQObbr5KE+a2QyH+6ctp6yZkC7+JZN5JiO9htmT4bc2S5uPCH29OyQd/jYrswH5q7S4nuFJV4aOMzzj0rlXtHWKl4VaLg4w3Xc765GujXA16jzB2g6m7+4fImf6pR2ZvTssdf/pZulwWLQ94cPSt5nOfWwzQ6Ejg7zK5a3Kkt2za4N+xsZxNJul6dlvpMqR6/WzunZqiggZHLoiZPDLLmmDdoME4yyHDcP+DaztyWBjBcN1FX0QGxqw/8/9RYm08+ci07ki07zq4lnWCX6ey/K6P3XCcN2p1IkMyDSv+jhrM7/xLGvfhX6wcqr9BmsXc5XGdHrCUmI5w8PTYVfWvG82fJe+j9L23Rq01+L3dLTn+DU0NoKG8cAhG/21ua8N8ozOpZ9KQ5eUvx/3RB1neIx2hxK3uSfPH7dxdMGh3mV6PpEzcvoMT0dHBz777DM58M/TSoEP+9/djYVnDqDl+ABimTx/lhjAkb86h+e2VaJIXu86jokxhwd0s75XHJNLy7DsDl8P70PNNq8ycsjuFxspwkKLEdBwhzJrk5rRaUbLZWXGQX4GRjeSUoDKDj7CwWcKUmtBy5tD+mdsjOtOx6LAEmXFafK5G20wjTjEEL1RBZ8YZSl4zIPQhX79NRneWvHb5fXyKAiP11dUol2bbvYdv0f9cm3a+SyHOiPgRT27RuVqD4IfhtF/wWrzggQGftaAc+tqUCm+G/98FPjmkzCWYOyTKDyP5XL8pACr1gJRt0veizyAhay4TPsveFDjcqYhM+KI8xuuLLZ/piKhWb9s5NPTONBRiE1/IvT1XhxfxNw/z+EO92VoSWIY4UvFeLFCTeMk+y/kvlzSkWkbYUc8Lpe900PkTkUx9osDaCvchO8+qbQcifgXiGXz7IoTanm/pMpyHONjK7DiCXcPUESvh5BYvwnPiXKcvJdA4kbUrPN3mF5+7hwSFm2rKoOtYnQ88fk4xrLYnGTiM1aAThsr8HTbte1JfVgn2sYJTNxyeJ7jfuSV6oQZVqZWsteFuMXNpprXkWGE7ryATeuEftxll2R2QNRYKe5znZg6BfAs7UHQ8PwJ73erVos+f5EHnsvazYkMXO1WbBz1fA2jI8xW0cBnfBS7Rn3uN2X3KM++cnvC/AzsaPtm/GPNf8GdGuXvvR/V4R/bfym+NRJGd7Mnae9wuJ2k2CzalQvC7uKra/gMlmw/+VHF/vkHm4D97DurZ5zWB+E7K2ytZKhBdP30PWtMKDzYLx59pBjrXm5EY8VCDBxtkZ2RMYeGUiUx+AFOs8ZoxRPiQCyC0PV18Dq1ZVndKx9eZnTmRcI4/0Qpih8Rh0eGcPFzH0qNu6lcbUPXkr7UlDSrHPzhvr6mMkQ/MZkPBsrQqFaiY6zKqQ6SXAH1hC9F3T+0mIQ11nJlZOnyR9ndomDmqR4+tatrgGyCcMD4lK7ScOk3KJB3kFnug6e5Gi1Qdm3TwTqjD04l8ELpMnEghshHEazzqnE7+NS0u11dnEjtILcYnpXyIYHF9RetYjmwkBXfOIK5I+kfdMyG+ZAtngX5iuFjIoHQ8V7Y2UHRywGEnyiDV5X7SAT9LK4uL9Exch4t+xrQoAlHLoVwxHCs5ay+48q+DAU8TUXfwlPqcr1PoxhgrlKRWsdk4hh4U5+OhtdPI/Rus/7YPj8GDM/2Z9VGWPF7SlHkLbAuCdwJoeeMbUmg/0wYxWXe5AAE39Sh+Oliw4AEJ/u8mso7MoTeImY82djyeuKIhlm5laqDOQmWxgHm6BeaNnGJ/9MwhiPOYdSQNisZDId7UfT0MncbW2iYz8oCj8zHQiVqIvpuD4ZsHB6TPsibOryAp2z04b7k1VWdYHc522LQiSMIXTpiONaC86yd0/Lg1QkGc96jFrLXhZFxprV6pppXeQOB8lJ4RRYTrGwGWGtfaCiL+10n0sEHN7Vwh8P4cL13dZWlfaIei53pQpT1k9aON+szdzBnZ5uI6uADrcxZ0vT/yQHas40o48vfkg4DD9wZ4QOSUZMDtrjubTy67V/hX559G0v+6l9hQdfb+Dd1/1p8a+A2s3VcbELAB6eDa/lmTCkbS85r01Y5HZUdfWi80SWcGG7P8YFdnk6rZXhe1B/zoOVkTrYrIuwQMz05YUaXtFkxMSyd+2mz1PzWx5LTfgLG60+GDigP6N69KfV/6PKuLu/F4Uspnj2SmgiV43z6dnJYGopY/5gvB1Onkh2nleUp6l6xzEosTbhySJ6OVZYWsWM6WfJlDuq0bAbTwppp2NpAr+t99NM91KibOpbzoqZGmea2zLecFs11J/ulAyWbpVNRSboZ+liXLu31dffKFj5Vr8m78frm9PJ8WMlAWw65R16+871TktWCm8krh6XDxs0dNMvF5KWJmuUFoz/fKZX85GNJ+mxI6r+RRtkZrpa0uSlDpyVtvBx+3C+W7iiyt8uvDnZfN8u85OulaSNcLd+RlOVh29+xLAlp6Mhhqf83IirD9CW5FIXriHbpq7KpA19aOHGlX7qZrihc5tVY3jdPblZkqylv++U7XL+VcpO5y9L8jWelAx+m1xN3GGWgLA/mG1skZcDy6WZJ28T7+6SSbxyQPrZK2iiT1Tuph+RlNNc16oO8qcOf8+VOGfQZackir9p4tnWC31dT/nbcvzqhve4U64RLssmrNs5/n9pAgH3X/qz0bKvdBjKZ4kJPWErcLGmT88mulQwmPWD3SsqB39eibdcuX0ui9N/yNdnv1SXqRuRl7ywf6l89/Bo2fQm7p61NZPqOWUH/qkL6r4bAl7VZo82zDTo5inRyORh+Z2X/aGWuS6ehbOR2WcjPMS2Ea3I6w7Nhwwa8//77cuCfZ5x8MQvznUJET7Si9UzENHLD4aMWybGle2M4924vULoMnl+HMOR2c2mX9+Ke/fCVMbyQHLkew9ClcWxa7UViMIToV6xGufj7aBrR5GK5U/hkCzyrV4kY43i1/CBizw7NA4NargbFCATjdj+CS32aKVoHFomlaSw0wXk7SP1WzcattbXf8anj1JI1JS9KauSlfEsb4bvQbJ7mLfCk3r7PGDt/Gr1YgWVLIgiF+bxaCl7W2tGnnkvZjaAkp9J3AH7Nkr+CZ3yI+vmsjjINbl6ixqf8xUcdXvi2mZcC6OEPTma3RXXxd/ejKt6GA7/QD6vFr/Wg88Zz2GH50LbC4iVl4hPjThinTwygbOlXER/sx2ie/e8yIoMytGTBwtRoJktj90mg8bVNORvhzLiNuH0eDdt2wX/N2AoUo6q5CvGOAwh8Kg5x7sURPt6J4T/egTLbh/v1M4iJq6fRM1gGz2NxDHw4ivk5KgpjeQfeiaDsiWWYdFXeecjXiGPsvS4MbDyK+qdzlDiTDAJ45zrfdnnSRgYJhN/chS1N51md1JO/ZjcaS3vRyt+Zpp3J+fQ82s4WYut37JdYGfUh8PZp4AkPijLpM9KSaV4NzLY6wUrgfNMW7HozbOgbZ3+dmKqNkLdAWykC6PpwE46+vCJ1zSkxBT3hy8vU5aa3A2jmmwOpMyR81oTbD6yfS83i8Hfl8VdF8D5Qnb0wUOSBpgUR8BkOcd0GIHhcP1Mjw+7fBb/lhgQKqddnxM60TWG5lxfL/qEd/7Ls23j0H1IzPU9V/H/F90aYfKHk2T09qPZ7DBsQ8NdrGPPN6mVS5n3MvilPyjr2YTD5qIH8WyYbLr++tVH75YBERsyuJW2fBtF5tA2HTg4ww7wTza93ojOb9wPkswq4fS/2Pl9s3cA8uRUHl4Zw6I1OtLX3w/Pd3fBGTqP1/UK8UJphk5TuXqzSjl6vRKlYbwwUYlnZMkTea8Wx+DpUWu7Rr69wfBrXbke0LuYYbU02GF7Uq42XHIw7ZSnL0XTL2azW2jsg7xLHDHu/xa4s1miW2slBO53L0yvWurJGVl3OJ9+DNwq1lahs8CG437BMbJ4XW1/3IPTTNnS+0Yb+x6qw+8kITh+8iMIKc6cSGlEWlHE5+qE06PpgdiqU5XapwJcWWsqUOYJNa4MoL60GjhnlreCttd5JxlvrB5hjavkSOBkmn7MedGWzDG8B++2bR1F2pQFbNm/BFmaM173WidD8StRv1HTmFhSsrcfe8R5mGHai9c0x+P6sEvG/78KR26vwQq7eKZFhGZp4vAr7C1mHzX7b0nwenpaDyWeBckKmbcTkJGIjQ+j+aFgcSJG3vB7+w2UY+BEvBxZ21qHlZyHM/049Nn3NsSTwXN1ejJ9oRedh1l7c8qHmO3GE/Ecw9swLuTNkNeXddnw8w/LOh+/lrQiz9HUe3Iu221XoeFld3pYLtDJow7Hx9DKY/GwY0b8NYsBYaeYVofLgu6jHO9i5lZdFNer2taJnbAXqd5Tp38ljRKMPrW8Ep9Zn2JJ5XnXMtjqBSUzejmLoxCCMtWK214mp2gjcud76yyOsTrVib0cMVf+B9Q22TlymTEVPuG1htcSaMRZFSF4mxvul1MCk2k/xPtlyEJYPhtrZA3yZ+/oWeKz6RqffySiDgvw5nfIRn74P5c/GNnebBwP5/Xb0WDy3exv/LG9j+3/jv//ag//hUfmgDcxZa2hE1Klv5kvVb6i2hHjuWuvs8B3wmE1g6SBeVuXP7lNdJQ/CqnZVasCU5V3YKuUXPOZl/UR2iJkeYtahTFurU5+6IKY4U9PAfErVYepUnRK1mHo2TWnLwWoaWaTHYXo1OQWbNihpTd1buV/y9xZpNE93u8XF9PR9RTP1r5GFFp5/2+n7XGFcPjYFsn8PjwGnJW3Zcsv9zmXpMC/fGZK633K/85Q1TB8s35+RBdOYV3Pe7yMsn8YlbePvdbvfjc0Oi+ved4xpykkaWRtpWpKUHVZ6MfRWd2rnxSyZVfommNV1gqXErh3RLrPS9/85arcFSn9uvZTNSMqWyQCm+253O9O+e0cbnDH0zensCF16HGTJ7bDkeSLkqP4RzszK9/C4IjGG8JVR8H1obFmwGE89Kd6pMBVm8l4EcT8wvvNmCkTPBICKSvsd4txiTFMu0hgPIXDFi8rVU1+GZHo3yPUe9PA9etQHnbMiZvP+jCyYxrya8n4/uc30Qve+nDjOHw+hbNu6qS02M113FmBMU07SGGU6B6ZzU66xZr24F0HPKaBqc6Y7G+iZVfommNV1IpftyBzgn3/zW0i/+52IKXzpy1/G7//BV0SMeBh4cHdpm1cIT/EyLHMKSwpz44DM5L0I4gHHwzr9qZtO00R+WU4cADNRnL/qxaYpOTs5ZtryOruJXz4HrJ2is/NQ4cmJs2NFtG8A3hem5uwQxFSZNz9PdnBU+Gd+jHi4eIAdnjzkP5LvHPJzpNAzeS+CuB/MiyP4RgMafhERB+4nMYSOsrQcjyBf+1zFbEljLITOfQ3oimhNag/Wbc7Nsyv5kS407OtEKOMHt6YBy7wyvgjiADse+JWI3yciv2D68EYQcY2e5K/cBPX1J1NiXj4ix9n1j4Yyf4ZuGrDK66xJo42eeNZX5ebZlVmibzKzvE7gVwHWfhxA8AsRJ/Dl35snz+bk5f+BHPhnfox4uHhwl7QRBEEQBEEQBEGk4cGd4SEIgiAIgiAIgkgDOTwEQRAEQRAEQcxZ5v2fDPH5weNaD+oOnUYovhi+/6VQHJzr8Ocb/h3+09uDQGlZ6uWNsSBaG7pwLjofT5U+hpxt+T9rsZFDjgi/XYefnAzhzh/5sGw2bQ00rdjI9GGrZ3yN/mv/CT3/CPyvZZ6c1yXSLdKt6dGtGIIH/w90nY1i/vIVeCzXijtbsZHpQ1fP+LM7b/gRuPUonnvS8UUzBPFwwp/hmZXcHZeGAoekPX+6Wdq8lYWaWulA4KY0Md4vHToh9izP4btDZi0Tw1Lvj0+Z93Q35l33PoZxqb99p7TxGyXSBv9U34AwS3ArBze40K3Z+N6HnONWpro4+80rm6VvlpRI+96f6otOZgm3Ppa6fnrRVN5Z6cCtIam3fY+0WejW9u8fkHpvTEjjoUNSd1g5hXRLfOaQbrknrW7l8B1OsxmXMtXH555ujX/YJR1+3yiFB1UH+Dtv3L2zhyCyZXYuafv0PFq+uxMBPIfG7hM4cZyFY+3Y9cg7qPhOHcYXzdpNb3PHrwLYW1uHhuYDaHl3TBx0SwHKahvl94GsKn7AZTUlOVhAujVFmRaj8mA9Ktlf79IHe+Pf2OVO1O3ci4bXW9AZiYuj2TPW14IXdweAdY048baiW/5Du1D48wpsqB1H0RJx4lyGdEuGdCv3TE2mc0W3+ExpHXbtaUDza52I3BGHp4UYArWl8tv+k6E2wI6m4XYAdR1hEckxObh27Ewd6s6kycXVtvTnaAh31CFwW0TuE+GOUrRdFRENTvn93d178juKEvHfyH95PGfwsnKjLzPI7HN4xpiQtnQhv+EEGiuKddvS5petQeWdMqzw5r7BGvsgiByY02lJXAtiwE1b/XglWjvasX9Lli8Oiw9jYLAMxUsz2Sh3DMEPZkIKGch7qnLQcl90a+ZkOmO69etrCC5YgWV/JOIPKAUrd6P9aCte+ebUndwx1qls/Fk+Go83ovJxjQ7Ny0fZmkokVq7AUw+2De+O+6FbiTCCH03dqXCD23aLdCv3TFmmc6LdKkDZznYcOfgKfNk6udwQ1ToxPFg6EQWo7BjE4KAmNADN6RyfsShC4qMzYbSVtrH/jXBHKwMHIgPDmjsF5SM1aK/I5RpH1v4c98CTg5d2Z08M0RtV8GX4AuJ7k4nkC1n5Xx7Xwp0lnZ7YBTsndKlnlryIV2F2OTz3oji9rwXRF/Zi93ILQ33eYngqyuCdBsUavxbGuPg8ncSjYYz9VkSmk1+zSlj0FJZlJKtxhK/NhBRmTt5J7ptuzZxMZ0q3YsNDGPuGFx56jYHCyGk0NEex6Ye7rd85UuRBZZl3VjX8s5WsdOvzKMK39B31dDHj7RbpVs6gdksx+EvXB+E7O4i+pjJUHVMcmb4lXcxwdeFkLKpEO3d8Oip1OqczjHf0AMerU3Fd0NzjdhTRlR4sFtEUBVi1Fgh+qHFhrrYpv1/fgpDm2vKMBktT09ogyh2dHu5claJrSR8Ga3MweKpzGqvRw/5VJ+NqcJKnmD1LN1ul5tsUjI7iKKKwkqUzqrOjYowXVLTrHV4ejlUBKxvRpz2mylQrF0NZ2ad95phVDk/8gy60XStG1Z+ssHmBXz68L33L4S3uCUTPtKLlYCc6WTj9ZgP2ns3thFr03VY07KnG3r4xjF3wo+1oJ1perkbLB7m9z1SJXAkiUTyOiwfb0Pn6XjSczeEsA3ceXmey3b4X5z8dQ/AYu8fRFuza3oLgfZ7WtWPKunUnisDBFrSy8m49fBr+fSzvuSzyB0amcQx9FIJnfhjdrI61Ne2F/2oOjc3PQ0xfG1i+/QjfDuN0Rxv8b+xF9cs9iMyMTZshcQR/xhrwJ6pQWWozm7rAi01rHUalSbcEpFt6HgDdemBkOr26Fb/M5LtvF6qPhRG7dhptHcw2YHbCrrcjzCqZHXCnpBp+ZqC2o3IRM5FHUvMwsmF71ofgfrPTYD3KrzdatYax1pEyB+XenNiHQWDtKktnvaCiBp7m7tQ9ltfLvzdeu17MaPD793Gnx8qBkJ2GLniYk+d6ZqeI1amRURERjqLWgVEdPx6YA1DWxBwpNZ4MqbzqkJ2CcgRRJg4YUZwzWc6XfBbXZeEYmINlcB7FbIqxvMqbQwg1lyvxKS4HlNPu96CPO7z8M7sev19yKZ1BLtjG9U2TbjnUIwcuZ1bk1OH5m7/5G/zxH/+xHPjnzIhj4IPzSBR9C0/ZTtXmw/O4vcJGjm9Hw9g6vLpnN3b/YBXGT55H0SKXCu6GeBAf5NWg6TvLEHztAAaeqEb9zt1o/DMvAr/odzWlOjPEEL02Bs8frcOOPfXY/cMqFDYdSD9645L4Bx9gfnUTKouDaD40gGXb2T12NmLX1wMIaEdlZg1T1K17EfTsaMDoulexl5X33tXjONVXhIJHxPc54MGRaRTDf5+HouWbsJvVs/r/XxmGajsRztHS38iZCFbtqcGae51oOQm8UFuP6h+8isp5bTh3XZw0m4gPINiXQNGap+yd5Uc8KLZrhki3NJBu6XgAdOvBkel06lYEgcgq7P2zNZg82oLuey+gvpbZBnsqkffGOQyLs+4rzDhtbvbAn5zd4EugyuApElEOM1ZrlgbRL+wExcgvRTOazEYrN7gtZ1Ri6L/gcbG0ip8H+J6xU14vtjZFUW0w0EdHoE8zRxje3Onxo0tn58h5kJ0GG+fDCc3shDwzZHON2CdReB5za2fGENgfRQ2TYdNacciEF/WqnO1mo5gD2NekmQUbiwJLlPkd46wMdxKTDtkUZ7fCJ4PwNYjZPa4vTN79z9QAfpvZNdMMz/2b3eHk1OHp6OjAZ599Jgf+OTPiiHOJrSy2b9wTDmMln57GgY5CbPoTrzKCfy+OL2JlWOYw+JUxn89HMaug0Ug/irbtRqWoePHxcWYv59vMHNwHEsMIXyrGixWqLCbZfyFEczTJE19QjFWLoohcLsKOHZUokpcIxDF+i4lhwayRgoap6dbYLw6grXATvvukkrdE/AvEVi/DV3O4NOKBkenIMEJ3XsCmdUL57zJ53Ikiamzt7iUQ/5zJ3SmYHriNY3Ipq7PseuHrPtRsE/qLccRGirDQZpvdRNzi2oaQyOGzmDrYvXnWnTYHcWq2MtItNzKNm2+WjW7dF5m61a2syE637iuzTbce5PrqVrfuWKdHG0xpi0/CU7YM8RthRNbWoEZdMv05cyqKFmK+EtOTZV3OFnk2pWmrZmR9FNHL5udOFi9hrqGwE7y1isFsOSvCDG6/xjlKcrUbQeZcpl3exc5rWVrj6IQUVDSh8YbWgQkjeMPH2jIRtcBbq3VKFKeu8aXMjHx5hmR9CzyamSSTDORZGiVvfAalZ4c+v3zGQzfzkYQ/F5WbGY6CZ3y6Wahph+W5yyB/Rd7MQdMtcRQzVHxpozrDc7YRZfIyOB+C7LtMNoTIJb8n/s4CWLPA24kFdo5DAqHjvfDs2ATRZOmIXg4g/EQlGtXCGImg/4kyvGjleI+cR8vP+sHdAJVYJALcGtdNr84vq0Hjek1n80fMU8YYAh+NYdU29XgC4cHzKHv6FZieG40PwP96ADdFlBP/NILxvx3HwFfEAc7SSry6fYX599nC8170LVSqsxmfRjHAd6kxjOxFz7agK6STArgYxm/ppIBVf9aIdZqZkaKVZaw3DWBgbBWqloqDiTAG+8qwos4iF9nKO2dMRbei6D8TRvHzjcm0coe3+OkXdWlXmTGZ3ifdkjv1ch+8QpAJpmsDWIwq46hxfBTDkTRPOxQuw4qvaVOWDy9zSjF4DuefKEWNes2RIVz83IdXvybiOhIYZ8bMqONuRfOx+OteYejnGNaCclHk2Tmld1hneNaD6o2WrVZGuoV74+z7UV09MrFgMZ56skin5xnr1n2SqTvdimPgzQMI3BBRzm+ZMzcexPhH2rx8FZU/rMaK5KEsdOt+t1szqVtzvL66bbfi/zSM4XRiKF4Bj/Z3+V6UMbEM/OfzKP56TbKtjV65iPG1r7Ke14Is63K28OVrntWakr8aRM82H+pFVEVe5vaYiGQMM3SZkRviRm5Huzimwo1g5vSc5QYyPw/wD9qb/Xxmhs+qtGuuEzvThejaJmv9tYQ7FzWy8V3XxK7lYjmbet/BwTTnyku3KtkH/ixONzxWTkyRD9GTYeYc5sK9sUCe1VklIjMA34xiqS+N/Lk8qgHuLBYxp/CkcjR8kjmQ1YPyb+sH/axMuhGuuA9L28T21DnhzJkz0tq1a+XAP2fKsH+DVPK9U9KoiGuZvHJYOhyaFDGB5h0OQ+0lUkl7av/50Z/vlEp+8rEkfTYk9d8w/M6CofZD5ndGWDFxUdpXUiudU7e/F3GejvErQ6Z3AxgZDxzKbK/5K4ekkhKLtBnfZ6F9Dw//zY/7JTXX44FaW7nqGZIOaWToxMT7+6SSV84l8yvHv8/fezAuDV1JJ4UM5K3iVg42ZKpbqXc4MJmUlEiHku84GpV6/5zFB1ier/RLN9Oq1szJdNp0SxPnurT55E0lwhhqf1Z6tvXjpK7lAl5Wzx5JpUqOcxlODktDkVzeSUGuH7Kc9bh7V8qw1LWhRNr+jqVmSUNHDkv9vxFRQe50yz1T1a2MmUndYm3foYC7PExVtzJtt2ZWt7TvYJk53Zqt9VUbn/52i5fVs9Jh8a4tNc7lPxkZkoZzLgb+3poSqdak99bv4eH5T+kCz79WN1QyeRcO16/M+3BzepW0lDBdVcvUaMsp6O8n6wD/jRrS9LHK+WnSy9qR2jTXMcPSZaGLCk7fiTRlfD8VLg9NWRlkm5SpCFZy50xOfGEKtriRjy4dSv6HTPnkepah7uSInC5p27BhA95//3058M+ZUvzd/aiKt+HAL/Rrr+LXetB54znsWGk/1rF4ieYBsDthnD4xgLKlX0V8sB+jebkYIxHw3c+eKEuum05cH8T5lT6sKojiYngyZyPpU2LBwtRMBZNFN/OyG1+znhnLluj1IIqfLhbefgLDV86jjD+AOHIR4cn7JYUYzjdtwa43wyxFerLXrcXwrBQfGYmrp9EzWAbPY3EMfDiK+TlUrdkpUz15CzTpGAug68NNOPqy3UYQ2RBj+R7DC95lIj6GoUvj2LTai8RgCNGv5FDgmXD7PBq27YL/mkmzUNVchXjHAQQ+FYc49+IIH+/E8B/vQJntcinSLS2kWw+ibs1SmRqYdt26PYyhsRfwlDqd8+kQ+j/fBN+TCQyEosi/z2IoeMyDnkvi6Ymrbai+0YithudsYmea0y4zU1BG8aO6JXLp4c+6WKEunRusjqK81HontXAHnzUQMwIs/XxraXW5mbxcSjwrYvUeGo6yKYMHXQ7naJ+DmbUkl9JxeWiW72k3WeDlK29OIeRzrEpsWmCza9zVv8Y/lmzGsJ1cVBZ54Dmuf0YqLZdbUM3LSluet/sRROY7yuWC2bUt9QIv6t88irIrDdiyeQu2sE6g7rVOhOZXon6jx7FxKlhbj73jPcpuNG+OwfdnlYj/fReO3F6FF3K4736MVYrFa1cknwXJ83jhi4fQ9UYIyzbmsAGNM6eN5+VnARYJoK2pDZ3vhuHqbROPV2F/YQDNb7Shpfk8PC0Hk88b5YYYxkYW47nSpBTwVa9Plnfr5WXY9HQOW/eM5DCJydtRDJ0YND8omrVuFeC5ur0YP9GKzsOtOHbLh5rvxBHyH8HYMy/k0ImcrTLVk79mN7b+8girZ63Y2xFD1X9gnVBOn38Yxej1SpSK5w6AQiwrW4bIe0z28XWozOU7ND4NovNoGw6dHGCNfieaX+9Ep907kyYnERsZQvdH5keQ8/h69sNlGPgR1ysWdtah5WchzP9OPTZ9zancSLe0kG49iLo1S2VqYNp169YowhWlySVzeHQZVn0tgsAbxxAvr8zpYOPYByzfbxzCaWagDhxtlm2eoNYhtoLrETOD5WdM+HIy7TMXwoguv+BDn+ND7eruYeUIrnW3REyFP89S3uxBjek36jVZ4Lt/MQPd6rrcKVJ3ZDPBl1rJz4r0weO3Meo58jI0P7DD5hkS7jQ0N2dm0POBBbSg2+QsKE5hj9V7aMRW0/zZH/WhflsnTJybDOuVDQ+4I6OTB3dGbkTZXc1wR1PetIDvwrd+KpsGMBvqGMvteof0LvfBo+4IJ3bG0zo7yeejqvXbms8YYqbnwcTlciY3ZLzEKksyXnZkhzHv2iVtWTPkevnVVMmZvC10YOitbmlYfM4Wd0tO3DBzMp023cphPXuQMOvAkNT91lQ1K5e69QAyHbqVwZK2qZKrdmt6dMt6OdPDglGmD2c9y0QH+LIoZcmTeXmbSuoc5/NSGJdTycHQB6aWpLldQqdHf49M66TD0j2+bCt5XYtg2Zfz65nPtVtGNj3ol4np5OOwrC6jJW1J9DqRdlmevLw5fVpmAnJ4BDdZ45ha4Tt9TPxdr9Q/ISJTwZj3nDg8N1ljORNSyKG8jXK4Oyx1n5hNRunMyXTadCuH9exBwqQDv+yWun8pPk+Bh9MQE0yHbk30S71/lwvFT0+u2q3p0S1yeLQyfTjr2cOtA0RmJL64o3N2eHwuM7uWtN1HPBWV9lsW55D81ZXyji6zEw8qK2ZCCtMn72jfALwvWO6Lc5+YOZnObt160Ini/FUvNj0hosTsIb8MlatnRvGnp90i3SIIYuaZNz8PX/qy4gbwvzw+l3mwHZ55cQTfaEDDLyLiwMNADKGjLM/HI8jXbts5Lx+R4+z40ZDlOs65h7UcPOurcrM2+4sgDuxrQOBXIv5QYKdbD1k9i4XQycq+K6I1oj1Yt1l9z8gUId1KQbrFyJ1u5Ue60LCvE6GHoxNQsJQp42GrZ78KsLI/gOAXIk4Qafjy783D7//BV5CX/wfyXx6fy3yJT/OIzwRBEARBEARBEHMKWtJGEARBEARBEMSchRwegiAIgiAIgiDmLOTwEARBEARBEAQxZyGHhyAIgiAIgiCIOcus27Qg3FGK6uMiYoS/TdfxTcAEQRAEQRAEQRApHoBd2sJoK61GDzk7BEEQBEEQBEFkyOxe0na1DaWlXfCcHSRnhyAIgiAIgiCIjJmlMzwxBGrL0XJZRAVlTX1orygQMYIgCIIgCIIgCGdmncMTO1OH8uaQpXPDn+/pWkJOD0EQBEEQBEEQ7phVDg93dprR5ODQ8Od5gvAN1oMWuBEEQRAEQRAEkY5Z9QxPQUW74uzcDqCutBSlPNQGEBPfA4vhWSk+cuRnfPh5dQjcFscIgiAIgiAIgiAEs3LTgvDJIHx8o4LBQfStDaK8I6x8cbsfQXiY26MQvgT42TmDZ32IfphyiwiCIAiCIAiCIDizdJe2EKJjyqeCihpUHQ8izGd91rfAU10JdcGbdzVQzWd41jM36Bl6rocgCIIgCIIgCD2zdJc28e4dEVOogp+e3SEIgiAIgiAIIgMegBePEgRBEARBEARBZMfsfvEoQRAEQRAEQRDEFCCHhyAIgiAIgiCIOQs5PARBEARBEARBzFnI4SEIgiAIgiAIYs5CDg9BEARBEARBEHMWcngIgiAIgiAIgpizkMNDEARBEARBEMSchRwegiAIgiAIgiDmLOTwEARBEARBEAQxZyGHhyAIgiAIgiCIOQs5PARBEARBEARBzFnI4SEIgiAIgiAIYs5CDg/xcPFpGJG4+JxrElGErydEhCAeTsauRTBdVQyxMMJj4jNBEARBuMTe4bnahtKOsIjMLOGOOgRuh9Fmc//YmTrUnYmJGDEj3Ed9yBljAbS8B3jyRfxOFKdfq0b1thfx4sa96Lnm0kyLhdBZW40tm9nvdrTi/KfieJ4HhTcOoPMqOT0PJLcDqGM6HjvTxtofcczI7QH4DwdBrY81Y2da0HvPA7WKYSyItqZWtL3RgGpWVwK/dlE3Rk5j7/Ew4p/H9SHOfluwDGD3CJDT82DiVMeybY/nEEnbpzZAbQxB5Bhbhyf2SRRVq4G20lKUJkMbVJOXOx1tV0WEww1i3bks2BrIrEJrrqWFV/joSzWIngS2LglaGB4x9F8AfM8UiPhUiSFQa0i3TcjayeKNvMX1dCFNA2eStwmeD95YiqgbWJm5zVPG+pAh4Y5Sy9/nzrll8vn3Efi2eZEnxxMIdbRh/nY//MffwYkfFuH09mr4fyV/ac893ikPYMXrfpx4+x20Pz+Khi0NCH6ufF30fBUKj3ci7MKuUzo3EXGJ+98oep1RmWSgDzqy/Z0NvMyt2g47HXHC7lqWLKpEDbrQ/4yPtT/638Qud6Ju5140vN6CzmmbItSj1ClejtZtZSZw2fE6m1E5ZVqurJ07cN2HHcuVGgZE0bMvBG/dXtT/YD/aXxxHy/Y2DKSrG+NjCHZUY83aNbpQfqgfcVZ7vdt8iPx7dwYh1TFrZl8dy7I9nhKibgknbGpwm4bXMZe6Y1Oe3pd8CHLbZ20Q3cZykO0IbVuQy/RnCs+vNq/CSWNpaXPSU5Zv17qSIVwP3dWRqbWp2dSRbNohIvfYODzcqfDAt9yL+rONKNvmx+DgIAv1WGynVMvrxTmp0LekS+5kTcpxO4oo67S8ImqG3bfWi4KKelQuUhqS5DVu9yN4OYSW9VrDWwSbBlx/npXiVcFvSLsx9DWViXPVhi1d0NyHNfLtFtfUhY5KOLlwBbyDuJRBFeUNi5oWmwaGOzHuyEQfspAPu370RhW7vohOA4mPutDzZCXKFogD8X6cwyY8V6RE80qfwwtFURwLppHxrz9A6OlKrBDXKVpbiXV3ziNwWchgngfPlY+xRt9qCFovm+rjZj3OtCG1pwCVHX3w+Nl1czVaKHe4+vTKYUcPQs3lumOp+urk7E9zJ8DqQHmzB37WlqiY2wNt4IMt7azNUdofLQUrd6P9aCte+aZHHEmDVb4dOnpjh8g77+7HagB/P1ZVA12mNpd32hby4/VeLW9NGpjpKNfZ9ooCswxyoh8JDLzVg6f+pEwMKDBiEQxcC6DlF0q+8x9lle3OaYSuy1FbYmMJVL9+BEcOq6EV1Wuq0P4XPmXmaEEZKp/oQddHVp4T1TF9eEDqWBbtsexoGa5vX7ZML3RlxOtPNzy8bn24SnbCTHLicrUoV54/tc9LpYFd6BjvE3nezH2gG0NcNthZWtpl26cd9Yb+MHyyBSGd3cT0zyr9Dk6Fe6cgU7yKkzZWCd9I89R0ziH96fA85mYgfBRReLCYf9TVHZv2VFOOPFQfB3p26I+p6bXSSR7M7dDUB7GILJCsuNUr1bYPKZ+vHJJKSkqU8P1eaShQK9UGxqVx9vfQFeWUjGHX5NewYqi9Vuq9JSJJxqXe75fI9+P3tfqtKT08DzzNcj6GpEMs7cqv2OfkcQ6/9iF2VHNvbfp4/tm5dvdVSKUvF/B7JWXuFNS8JY8p6R9qZ5+T+eVp08tU/l57HW1I/k7DlPUhnXy05aPHWe5umZT6f7xB6oqIKOeTU9L2kmel5uCEOKCkMaUX1kyGDrC8b5S6b4gDQv66NE5clPZtPSXdFFErnOUlUHU4XUiTZtcydKiXjmT4O0W/req5gvy9RZ643rqtY+nuYYLL2kYHtcjXTXOeUr+Ue/Pz1TQ7pcnY7ml/l0S0RUmMcYZ8D/WYTZ5093LKdyblOtkvHdjQJQ2LqMKkNPphvzQkLjHx/j6W/33SRbXK2TB8oltuj1Um3j8kHb4yKWKCSJe04cf97A72WMrQCNUxHfetjmXUHos+T74WP0/pv5O/sbyHsY/R/i6FMf9meSj3UI9Zl7v+XpbnWJYnv7aNPNPoqS6NFu2CinV6s4GXQQZlr+KQNhWeRiU/ojwd8qvooPU5yWC8H5clP8bTUqLRAVnGZp0wkkkdUbG2a4mZxnKGJ/ZhEKEbUXlkI3wpisazgxjkI/vK1xakGdU3eOt8ZkHxxPkoi/5crSecGq3hI2mDqF8eRnezBzUV7LfcM09eV52BEFGenvVB+Hi6+SgSn1ES38izR4OD8KPaNBrkra1BdD3zvJdvhe9CN7sKu84O6EavrAh3lCNazdPHP/NRAu1oUhrZaIPIDx/d0c3+iMBnmcqa+lLH5HQp+Rkc7EPjSkV2XUvYOckZowJ4lsofknhrU9erkkelNMFipilzfdDjLB8GL5+lHvm+xhGS8uZQamQzy1EfYBhDZ1eheImIch5dhlVPP4XFhfOVeGIYkctMNkWFStyGvKVerHuiGIXqQwojwxhAHhY/mnxqAcj3sFIJIWI7kBaWl2UmR4k0+ZLzr5XNykb0acrHv61Mkb96zKYc+HVU/eb6xEf201LkYfkZFRFeVjx9diPEGr3e0SOOpUOp7+UjNSztfCRUHJZJtQW8zHG8Wrm2JuhG1hx0gadbHnU23cMePnrqqXaeZXUDl7sym6Lce3SE5UUg1+uzPgT3G0eN+QynBx5NWgse8yD6iUGBWLvUeEMzkmuMM/j9ypbIY5dTJxN9iAyhd2Ux9PNfeSh6ugxeLtR7YwieCaK4lrWtmqpiRfHmqtQo9u3zaBt7DruTy+QES4qx6uwQq9l2UB17oOqY6/aY50HMpsh91Sii7DwFxU7oWxtEs3EWQ9PHKPB+kR0zyN37UiOi/pRuGOPy7MDlMnjETFRmpORvnrHjI/58xsaDFsNyWo48u2PQUyX4UcW0M7v0GDH0ywytjptRbbUMZytMeqf//egIRH6U8tTnVwnq7JfWVvJvg9me4cHSfguize9h8qxPtTWLKtHUFEXQNr8Zopkd4vWKuP9YODzMqWAdhdLAhxE8rumIWYNh3ZWqRrc+KMvAqkwOQ8oIMCu0trMxTunGznQh2rQ1paAqV7vRsjQ11RvuqGbnNaUa4rEoQrrGTjRkuiViSkOqXJ+nixkmpV3wnNVUCCuY49XFDBw1reY1uFayYY2UVeOVxrEqqKiBp5k7YlYoDT93iMwdr96YUkk1LNZOmdLQZaMPGtLKh8HKB8JIMzp7OicvjXxsYZ1d5JFCFGptpjwvqg8fQfWTysHY+dM4vaQK9evT9ByL1mH/8f1YJ8sggfCZHkRXv4qqUu3FF2JhYQjD6mYGOhQ9a1nKDZL/P3vnAShFcf/x7929QhUFRAVRUBQrFqyADVHUGE2MPUgMGmNFbDExShLsHbtJlBgl5W8SY4tdVAQrSLGB7aFIr1JfufL/fWd27vb29u7dPd6Dx/P3gXm7Ozs7v/nNzO7+fju7c9RRHNUvMjcAY6jU83pjw2E713Nz8t2MjOOcx6DhOWZf4XDneT2Yi/9gXEvjJC3DX5bMtcDkl35tMhOybmghfcEYspIvby5DHqrnvPUjZRv2xTU4I3C9KRnp66OyXu+hIxMwRvgNQ69xmJBlaPlesXAEDGNL0CCy2+PecSYKz8/+jfh9o1Bkf1hSNROdt+iceZ3Nx8z/Xo1fXXIFntriOtz6095ebDGsxLi7JmDf40KOqWiPdpiZY7Ba9Bzb6M6xIq/HS54eJe2auZ8YR6Zf9rlj7pOvTMgy3P33GEe3HkBV8M1jc35em7k3Bc/XqeMwtt9ADAhpr/rJrn+/cf6iGNrmtdWQhxis82GPih0V1mfXqTyE54rrI30w0K+7kLERwvBsted64uGcvlaAnH7n70e5D39KId+rZjk8OhYIcb5zHzTl2kZZDwVMCHtgIcfxYbnRjw+jvWhlg5Lj8NCpwDC5YMj6HK4/RMNfvPx/jsu5YBTCPAEyT5nCLoqlP5HgST8KIzPGPJ2YR8fZE4zfD6UvzrzpD7GjQB4cUcp56tlFTipv1MJiL0YjRYrtxOMwsIinV+ap1cE+Dfm9jpSFhnvQYSsZ3xMCG6Q9hlZhWMhJzHYbK/Waa+zwAuKtZuG/sIQ7rCz/uvaHJq2fYllTg8U9OiHv2M1cMVQfrMR1d0tfdd/4FEHt1Ptx8ztH4cHrjkfXmBdp6ISu/tEkH260y/VXcwMXA6WQkVE8/ptXGH1whruxBjCGzDHSVr6bcP4n1uw7mW+ueJOYGDQw0ng3jPTF3xfMjbLIm2ReqLM9Pwa/MtA8RKDRVjy8MVXhmqvX3QDmSCiyHsjwIUTuzTvH0Mp5+izkXJ88ckZ5RmTaKcz4eetaDPZdQ/I/rc2mtP4ArFi7GD07hZ9hvX98HW65+2948LBJOPEUae813o76mP08xi7ZF3029baz6IZuea4feo75wsZ4juW9HtsJi6451dd+IQ8z2TfEbJWzL0PmrZIMoaOognkY6h/lGZ6xA6aPl7vsoAFZ8nJHaurD6uG3gVgWbw0DBiHzEENsgMGjROc8D17DylMafGiS+UbQ6J5+EFyk88F7erqvSR0UGBmsn5CHP/Xh2UnWCbf9ng6leVB68DjZF3BIeG1Fsd8M59pGuSNJIXYir+np7604mjjR92BK2VDkODx+Q7SbWWeDnyUecbEzo9mLoxnCcw7JOmNfWfM7MeZE7xcy/JjzxMdeXHLKznTeqh8z+sTRF+/kLfyBHy8IxTpvtl6CBgcdw1AZPIlzbmAjMfDggRjyaPYTIPNkWepnSOhThDwXEE7+4BsVy8e69YdS6qcJWbk4tK0Na+Rm/NuJOPqhW3BUKeWUm/LVd1XgyofOL95JkjblE11bn7Y/8KEAL85hN15DwGDN+fhRDKjMS1P13yzCRgnZB/kwgX2seCdUzh/TB0WPMVXiamcbGBYaYnxwwL4bcsOWGyVfIQgzDovC3OgGY9wgbwSw5Kf2LN8wjJU6a+gTRT+8dmQZVXRAQiZn8b/mRnIeChhotAVHgggfzIQ9iGE7jMWQ4FPLwEhyMe3bkP6wcln4GVbLqaQ9Knr1xr6zxuLq/5vpxRSm6q2nMH3Hrijp8qHnWDYb2zlW8Hqc+wCBdsCQnHOH6bxVg30VPsfA5ShqmBNJAz5MT76tEHiYSrJeMw99wBuEfSj/qIxxbjm6K/IuNjZAngevecpTiOC1x7DnwEx/7TIAA90DlcCbM/XiOT78XKCxJkbgQ4KCD2nSdeQfBfV9+sCH4Q+FvCYYGBVsEtwDK7aT2EG5I/bK+ibPLG0BjBNRzLApbzDu4lhoGG+i7wknL4j+m40X7Sd44pkOdA1G3i2G99mBJyrGe/dBwz7s4pLzZMiWY9zB3kXdO3nNiE/eJxa538fkI2co3qPP8DFysQnOamJvcLlPdTqhz57Hi8PhvwBK2utEw6vPyNa7HszTaDdCIze1ki5QRfeH4uvHD40D1x/Mu+bryhbdsK+3mkViLp4aJbfi693NVbafztfWPnhTvr4KQ+7znJ3a9/HUK9n1VxP3Vvz4nsbzKbQ5T+p72lzK9wVsl5ynnUH6YODQsZkHBTyX5BZV6Ol9LmJ0Xz0Q44xRSD3khhlqBNI5tn3Y36b+G1jmyWYG81pjTr3Y17WynGdvZsjSyu6whph5Zcg83Mj3HUXxdOuR/dpRuDEWfAhgR6RznzYGnvTWA/vTtWic1/JK7w+ie9fcM2zJcxej32GH4v4PvQiPxTU13lohlmDmu+IYlXnfdOQgeYRN0qbn2MZ7jtV7Pe6Gnlk2RZ5zx9yffHWV58GDMe5DHyqEIbqI45s9gttAWJ5AH8oagWKds22MDZLPgbLl6Rn2WqE7PgfbvrkPKv391T1Q8WwQ/2hakfAb4Yb1lyB8nX5gwWva9H+K7ePZSXbEbrrYoOxzvnoRxzb7yiznTB7HndfsnJnejNOfObdoo+Z9eOLgg4ZB4+yDFH5PPkjOwbA3YuTa4GaJK3b0XWk4RTg8NKjlxPKeHPJCGd6ZeXGzrxJk9suFJ+Ri4jcM/O8p25uN93TN9/FctuHgL4903IcQeMXL/2Q0u+wZpKwcYs86mXnjyH36Fn5jyMDXU8I+MvTDpxTmVYDQfEQuP2Q+JngzKPKJmDiD4wb5vlcKwou/tzr9buccZo+YcSKC4kbvSLH9wVJM/WR9ryAXFzeFrgkPDfFeGcjUD2/sJV0cWrdH+7dyn47O/d/9eL/P8eg6+328/66EV57EzIR9Laf2wzE4b+jVeCGn/9Zi+kNjgeP2Rc2H3nH/fQpVm/rrYAnmzuqNrqGv4hC58dBhr++mkO9Jox+mcf0q5D11P+5pGW9I6X5ezzF58R4IsI1GyvkWvIFn4Rl8tk3HAGf72jLsBpOD9Dm5iY0delb+fl4K5ibD7/O8eqAu5hxct5sOb7hj3esg7Mch3yzYBx8ZPez3huFGVOFv9hysG7kJi6wXS3r6bo8zoxf+tmtgf6ho094+lfbRvlM3dN3nbAzY3m7XSt4cHTl7ILWV8+gv5+GnI1+QkoQxB19N8lZDWYyqSd3QWc8xSws4xwpdjy18gJZxJMPPnez7E/tB7r3eIcZ9nkkCsjC6UFbY97EFMMfZh3aZ+pfyhTgShb+VCeArT9BeKQTrK1/7ZvVX0xfoZBewK5qMwOuIbxXrkFomjpJ68SZIcmQ93C0Ez6GgA826NpMb2POQga+0ZV5jzP8Ko7EdzTEjgVfCz8El74jtZR6uyDlbys+OKA2iXofHPDkMGZnIwpyAvoubwb63mPNRoGA98bDbnH36yadrnGllMB2ZLMPBnYi+E33PEfb3ftIOUvDJWPZFwT4Fo5OVZ5i4RDodN9J+EBuY3SSN1M0oOjuFbqruZpCevYlPd6swrJj3gX1PNEMxT7HsKxsP9/BuDjlD1eHtFEZR/cFHvfVD8n2vIJjvr/jKgLlZ2vroM5y/fVHP00I/nDVtlyrM9QuY/TiuHvUCXrjjYpx3wXk2/FouOlt4N9iaFZgxaxzGTcouVe27o3Huo2J8/NZ33K1VyJpMKPEVqqbui526e9s58KKe+Ti0PqexWOozbEJfZ6CzmTPCWDzGmc/6UD8P6fblNw525ILnYn2TBTB/nsfsc/U+qS8Cc/4fU4Wzgq+JmHPwGlSdnccgmz0O9z84Gnf+8305f+7HqJvux/2vBU4aORf5Ooe5EfI1C/85b66R3jcQTg/v2pbfKLffg4R9s2evhfYaZ+om3/Ul8LpWZiSXT3K9m7i/XhvYH9r36oPes+ZmncMV+8u16ZjFGHvTLbj/jqtx7r21OOvvUkM72v01y2ag6vVxeD/7FPPojM7bV2Df7uHfBdGJmNmvN3YKmyXBoOfYRnWO1Xc99uAbEfA+GOeDMX+bOj3893zrFBUw3M03cbkzthq8c9Z9d5Wv/2R/w+O7L/kc1vT90tx7rdOR+e0tjrwU8YDTjTR4M9AW25+tzWPrq772tWltHTbG+dIw3INy9zDY1W0muOtYn4PlLHf7PcckY5vYayTPncKv/XnXUlOv+UbU/PhHgKV8BUcurc2az2bqdEBPTz+xSXPeBlAaHW966gDePPKclzxnTntvDnwJdi5ybueZu9zMc+6bD93l5eZBN2TyMyHvHO3Z898HMfOxF5jfPT1fe44++ed6D4ZC89dnzwefb851n64FyprGzAvv8swOJc3hn0VYukAb5MiQ/UX3h3AK1w/LlOlD9ndMvJAjzyO0LPmZMeaHqZsnFvrVjhAWP5967OV6fjQkjJkPp0685b2CvxGSr84L6iwUPZ9/8NwzIc95WqCfmRDaV73yF9kGYb+XkO98ykpbQhs7wn8nwZa33t9PMHVR/28xFE++84PxxcgJnq+Z61W9v6eR5xyptw81qD/MSD38w5tTE0o9xf73WL2/yxMGf9Pn5/+a423lQ8+x78U5lm6HQJ6ML/Y+66+DdFvV3w9Yj7l1LPUQWqfBcz7TPwuey+nylFBn/r5ZRB2k+0Mx9WVg2eurn4x+9QZffbEs9fahAvjth4L16qujYtOZUGwdeccVzFtZr0T4x/N9FKXlwqd1d1TiupuOsr/WXgQrXxyLifsPwVF5X5sJZ+ZDwzDx4MyTbEX5PsAn7DdXXodbBhd9huGFRyei/9Diz0mLHPfbm1FxxXUYWOK5qSiKonw/KW7SAkXZ2OlyPK7s9z7+9WHYl84hrJyI5xMDS3Z2OHvb42tGYIg6O8r3jE4/uBL9J/0L04s9xd56HhhUqrMD1E56GO/vf746O4qiKErR6AiP8j2iFtMffRw4cUhJv7dTNLUzMfbBKgy84KjA7/IoyveENdMx9t/AyUP7hP4I6TqzcBxGv9AZ5zdV/oqiKEqLRB0eRVEURVEURVFaLPpKm6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WCIpwVvfoOy22244+uijkUwmwSJFIhFvT9PA/BlefvllHHHEEUZmXV0dKioqTBmaCif3hRdewFFHHbXe5T733HM45phj0nLLy8vNelPh5D777LM49thjjaza2lqjb0uSy7aLxWJmuXLlSnz99dfYc889kUgkTIhG7bMFlqkpcPp99NFH2H///RGPx00c5bJMjSmX+frzo37vvfceDj74YFMGJzeYbl3x50WdqGObNm1w0003GVmkqepXURRFUZSNl2bj8Fx55ZVpw8UZLY1tvIQZRZdffjluvfVWs874pjCcwvK8+OKLMXr0aLO+PuVecMEFuPfee836+pR7zjnn4I9//KNZX99yH3zwQRPXFHKZnz8vbs+bNw9vvvkmTjrppLTh72gsuUEoY8WKFfj3v/+NM8880zhfrmzBMjY2dHIeeOABDB8+3IvJ0Nhy/bpw/YYbbsBVV11ltptSR0VRFEVRNl6azSttzpBxwcU1Jv68w6A8v0HVWKjcbNa3XBfXFHL9ebm8OXJWXV2dNcrBZVPg8nVy6Xz4nZ31AUd4KJv49W0q+X6d3ajo+tJVURRFUZSNj2bj8NBwcUYSX1VpSijHhZqaGi/WGk1NaTh9n+XSAXBQpnvFqylY33Ipx4+rV2eMExfXWPhlunUuKdMvl3GNKZcE9SUuztVvY8t0+OvR6dZUshRFURRFaRk0G4eHhhINFxoxZWVloUZVY+GMJAZ+w+KgTBeagu+zXH4746A85+A2BUG5Ts76kEtc/q5PUyaXjSnXyXJLwnUnk1BeY8slYXn6z1knd33hl6soiqIoihKk2Tg8JGgw5RpN3O+MGrdug38P8a/7CcY7mU7W+jLU1lUuj/brEtQrH+7p//rWNyPXLArKtbp5GnqKeVsFyOzNpLUOjl9WU+jLPNmerk0d/jYO7msMwvL0y2wquUEoh6OyTp5b1i87e7/d4t/Cx7lsTUt68hRFURRFUfLRrBweQuPFBZI2fWQlibgsxHA2NlFCIvjdQEJsnjr5C9lrNr20XPXS+uKSXDHHSwgQlL2+8MvNFI2FZmmtJkiIrim7TUMyLonMVxMJ6pgQ3Vk3EsmDeajAbR6dD7/c9UdGpl+u0dmzZNmO1MesUT/Z623JqtWXB9g9QpJ/vS1/vKR1Evwy/XIbA2fku3zDlv79jUVQjoPbztloCrlOX4d/28l2cm0PdC2StFvyJ2XaTNoxybaU9pWl/QqI2zynbTqmly35K8FbJEQU4/3tS/xlUhRFURRFcTQ7hycvERo3MbF3JBi7Zg2mffAu7rrzXny7cKUxgGKMrl6Gv//973j4b09wCjpjFBmryLOFxAyzKwZaUM0P6/awdFEviGbRBD77eAruvXs0Pvr8K1MHUSZLrMVTTz2FP/7l/8Tu9+lr8OvanBEDmS1oG9bA7dlVX+Kv996LCe9PMc6O0TdZjddfHYfR949BnTGWJcjxzIEhCzWAmwHsv2wHtmDCXHDYzMloBN8tW4x/P/InPP7EU0hEY7YPJGvx5YwZuO2uB7Fo6VJzDsfo4bB9ZcHA89xcuIxDpSiKoiiKUpiNxOGhUZsQk4fGk/d0N7ECz//vaYy47GqsTbYycdFUNVYu/RaXXn4Fnn5pohhLNJQS1lDiMX64y8Q2N5PJ6spiZZVOHJs3x7+CEZdchiWra0yqsnidcfCuuuq3eOzx55CiouIYpsxeH8YRam56Wmyp+FfK7LUTO2WZbE9+911ceunlmPH1fNO+MdTK3xpcf8P1uO2BR8TejVoj2WD7BvOwJrbNKaVOzwbFti/bgH2SbSVBNuOow7y532DUby7Hk8+9ZFq23PTTOP7597/jV9fcgGWrVtl2lEOYj8shwg1Jm5L21/ZVFEVRFKU+mr3DY5/8y0oqagwerpqRnBUr8cEHH6Jyi63Rdau2Nk6MoLUrl2PxwgUYPPgYJDhjVKRMDGMawOaFKGMw2fy4bl4Ca1YY880UyrotaQOvbjU+nP4popv2wB577SIOgRBNILl2FWbP/hr79OuPSFSOTskeLo0J6ZBtycRo28zsQ+uwmFZJO6Ycx0Od6DVrFlaUbYpBRwy2xeaITjyOjz/+CPsdPABxPvlPcRIGdmPWlmwaFa3DY3NVNiQclWP/TYHtZHqttG8SlViDFcsWYebCNfjRSaeaeNP4yTq8/tqr6LbzHmjXflPboBJcL4kxDdfMSaEoiqIoilI/G8kIjzV6rEVkF7Vrkvhoxhfoe8D+xowyrzuJKfXG+NfMjFHb9doJcbGLksbQN6aSMZqNwlyReL7eZgzpZoVx3YS4LSZXI1L+mgSmffQ5evTeHZWiqzUdU3j3vbdRV1OHvffc37h0SaMgjX+Xj5A2DpuftvZ1J5aPbeQnIrp9gE7dt8dm7WPGXEYkhrkzP8Xypcuw6257IcpKMCrZ9iVmUM/k5/4qzQHzWqY5+6StUtJTE7WYMmUaatt0wE479BIHiGmk8WpqMHXqVPTpswdat91EUkuc15VN12ajmv5se45pbkVRFEVRlAI0e4eH37AYK0eMpKiYP+6ltmWrk/i86lv85PgfgBMe86kxR3NeeOll9Oy5HTpt1tFoZyYuoAMgljDtJOaRNK990W5i3s3LZDJmvzHo6kQnqz1jk4kyTPlwBo44YhBaMwm/6I7G8Nqbb6Jzp82xzZZdva8kqBHryzp4FqOt3bYeQbPBfnbOkLDtw6KaMpbh/SnT0e/gg9BaKsGM+kTK8fZ776GyshI79NjB6Jo06thjgzQvTb+v+BuGzg7PRS6jePmV19F1h13RuUNbxCQ6GY1i4fyFWLm6FrvtsB0qW0nLcpQ2anuJc+FNF+Ffu6IoiqIoilIQa083U2jL1BmjJoHqhVWoFIemIhIzvyS/5S59EI/X4bKzf44YX1sT47+8PIa//XcCPpv5KQ7cuTO69NwFi76rEWOYppIYWWIVc9wk7eY0M4vY6OutJZYtRYeKCpTxO5WoLDt3x3crv8MD11+KsmgE5bFyxKJtMOrWv2DBgnk4sv/2aL/Ztpj55RzPCzCuk4Frxi6UP81JZaevKWn1KnTvvAnKRTe2ZVlFR3z5zRz899H70CpWJrpGES0rx5BfXIHVa9biZ8cfiHblnTHhnek8WhTjN14Otncza9zvKfzGhv6r+Cw44ajDxXltJedvG7SStnvqmZcx99Op6NalI1q1kjaPRdB9h71Mf7j1qkvQvqwTbr37T7KVTL8aVysnrx2Ztfk2M/9dURRFUZRmSLN2eIj7JpnGMVcZ3LpYxrIh5pEsxVaizYsaF5+oRspNW8sDzGgOFbZjPiYHxjdLrEFXU0f3zL56ZyqCFp9YePZD7ST4YX+tGPecohp1a0XfuFHLwrrhJrVttop6HVAKnUxibU21KT5H4eiWJjl1sejEaY6ZriyZQEIcIuMEc0pyad+6ZGZci/g1zY1R1jemqdgH5eRMSvuSZMT78VvulKaLyMmbTCTN9zmmNc15vdokiZvOLYELdhMTKys8D0wkg6IoiqIoSn6svdmMMQUUA6h1h8545dWX8dobr+JNCV06bIq9+u6Dfzz9DMa9/hrGj3sZv73yIqC8FYb98nyMf/0N/Pdf/8Am7fgCmGcUiZEUFZMqy0xqZvaSeW2H5WzdHi+//hLeeGMcJrz2KnbasQe236E3/vL3J/DyuDdMHYy+eRRSsXKccvrPMPG11/HCi8+ia9fN5XhRytPLTtbADWv+NydMiaRopo0rK/HEs8/hVdH1zddewYD990WXLbrg9j8/hFffnIg3Xx+HsQ/dgzpJffjgH+D1l17Bc6+9jN1220kOFjNYHFqrIX+1xerb/DT+/pFxSupwy62347VXX8LLb47HxRech1ZlFbjwypF4Vc7V8W+8hNef+w86d+mG7tv1xjP/+w+el/P9tJNONvmwMdO92AzrOIdHURRFURSlMM3a4TFmDZ/gR8QNqOyAAQMPw4AB+6Pvrr2xfNl32GPPfTDwqEE46OAD0U/CorlzEWvTCYcdcZTEHYAB++6FVjGqKEH+p8yHHmWI0Tg21pP8aUZWMYviJl9Aq7bof4joS9323Q1Vn3+FHXrvisMG/xCHHnoQDjhof1SvWSpJW2PvA/qh3yH749D998ImrfhFU9QMaBm7EOWy5X3P04x0dVR4ZUqJHv0PlbY89GD0G7APvqn6HNv03A4Djz0e/fodgH4H7odKDuGhFXbbax8ccng/HHFQX3TapI2oyxED9+yfujJTmsNqEG9o7NnH9ohhx733xwGHHYaB/ffC0vlfo+Nmm+KgwcehX//+6N+/H7pv3klasRwdt9oGg4/+AQ7rvze223ozJCOcfpotyt7sIdte11EURVEURSkI7ZFmTZQfLQupGMc+GFKY/M7rqC1vjy227o4OEhXliEZNNT7/fAZatWsrBvG+YjiVoUyi7TS21hy2q/QEzIrENT+j2JrqLFsM5nd1xOH7/OOpqJbtLUXfzpt4jVZXhylTp4r93wp9DxwgBmGF0ZfB/iCj042WIgP/yz/j6TUjzGtrESRQKaXjSE0dlnz9Jb5dshqdu3bHVh3bopyVIuWeOmWKKF+GffodJBGxdPtyKguvVjyamY7fY9gS1gEtkxUGaa26pZg0dRradeyMXttvbVtOPPSPp03Fd2uqsV+/gyWuDBWyg93V/NiwyYdB1rw+zG1FURRFUZT68FuJzRJ+veEMYWP1iIE8Yfw4pNpugp133RWVyRpJEcWypcuxbOV32GzTTbBNzy6IizVUxgM4K5Q4AO75vzH+01jDqSFkHxnMp+H5mmOliBEpc1lSvLlkBJMmvy+OzWbovctOaBtdLfZeDWrW1mLhkpVo1boV+uyxCziHnTULrb788sdO3Guz9C0agcbLicrSYeFXO/wmie386YxPUJssR6+ddkHH8oQ4NbXm93e+njvfHDHgoENFX6mbBL9x4hcisp5u1oxr64tsBMJ0bsx6CKOp8w8jKHPdysAWiMfZruyPbJs6fLfwWyxZVYNNu2yF7bu1Z+sJMXz55SzU1dTiuON/jJgk5adq/JyHuWR+z4fwr/22rTFbWFEURVGUlkmzd3g4ABARI3jF/CpEy8pQ0boDRt08BpEVC3DWaT9BeUVrtCovR9dtdsQHH3+Lb2d8hM3abIrK8jbYusd2WPzdSvEZ7MxsxHzwzw2z4Ms2pZtM/H0fvlxlMNPs2q20McaJFGTJvyUj5YugFomV36Jd60q0brUJfnbBVUDNclw14kK0j7ZD64pW2KTzVnh5wlRUL56Pzdt3QEV5a7TZpCO+qJqNuPc9C4Mpk6dvw8xDO4U3B9H4/bj9OVRxQIzeNv+09g1RmGWTvFK1K9Bziy5oU9YBh/3oDDFwa3DvzdeiolVractWaNN2M/ztiRclcR16btVZ2r2t+c5p4ruT0noysE2d5sblY2QJcIIEQlUYEmYEStY4IQTLyTgJJpVp9xIFmFxt3+DRXJo8TH3aMTkTjMyG5F8abhzQfPZldGc5GMxOu21XvL+lwbG7WCwK/kbsT48/3PTfzXrsizkLluLdCePRsbICFRUx6eet8Zsb7pJOVosfDBqAWGUZIuUdMPreMZILX2sV+RK8aUhkg6XhuretKIqiKIqSB+cHNFtMAcXojEX5HDhhZnMytlhSjChZRyKFaCIhTkhS9raxhlBdtRyTQJ3E8/sfa1SGmUYNM5b4lh2PNDaXwbxo47FuBhh/Y5QGdlzKXl1XK0sx8YzCIkN0pf0dF/uP8Un+AhF/j6euRupBlpzBjAm8Vg2WxGxnClocxhI21czsfWQ20mtBgUVAu571mZL2WrFqjREXoW8hmZlX+kSvuAivk3Q0vY0xbvQV50N0r2PBGG3+BgmPLQRbkoa/O5IjbRY2uq1YxtjYBihsJGSONjmyEkQOm07WjGyTItPBmhzbzJ48p1ZD1AvC/ullu3T5GqOj+c0d6dRmvkRpx0Q8iVoGJozKzhqmYyJg1eo1phheFl69mFVFURRFUZSi8Ezj5osxcMRpadehE1566QXceev16LhJBXbvdxief3U8Xn/1Obzx4uM49eSTRZtK/ONf/8KLL7+I5158Hv/8+z/Qvl3bLLutMWw4VppxQiQz+hk51WgM4wa+bkPjFzFUtOtkfkT1oT/dh222bI9td+yDF0XfF176H1577Qmcc84wEVGB+//4J7z06it44ZWX8N8nnkC3rbZqXH2lOMyDKtm85G+qTPwv+yE5sdrLhrddCsZVFGs7VlGJfz31FP7xtzHYo9cWaL/ZFnj6+Zfw8ovPir4v4jdX/Rpl5ZUYOXKk6Psynn/pRbzw8svYbdddvZwaCXG8nEtinC+uyJ+U9EHnqKRbm5NplKg0Ryi8riP50IVjYLNbYdxn/RxJ4TlYTUlSHI6ICDRqeqViUcyqIaNjOqoU+N2OHZrB9bc+gP899xR+csS+IiaFv0t/fenlV6WNX8CYhx9Emw5lOOrYo/HCq6/ixZdewrNyDp926ik2G/NXURRFURSldJreolpHzCgOjabK1jji0IOweaeOWFuXEsPoeBxy6AHoP6A/9t13D0lXhzZbbo0TTvghDjvkEAweNBAHH9QfZWWiIm1JL791xnvViF+dkEgsZl6ZM+vmL8W5bWO5lgiPjYrKrTBo0CHYduuuZkTngH4H45DDDsRBgw7HgH77ok3rVqhstxnO/PlQHHLQABwx8BAccfihaNe2lcnBlWWdodEt+saSdUafVCqKOjGCqX2WXUwapK7VNxotw8BBh2KHHbZDKp7CTrvvhUFHHoxBhx0m7XgANt20A2oSMZx33vkYeEh/0fUQHH7YwdisQzs7QMKsTIYke6skODmGOD1R0TfGUQix/u2XQkF9udUQhS3uqzKbqbgaEtinYqIMf1OKblfC52Q1FXbkVKREREs6XJzeT9rXaZeR30B95ZBINGJ02mvfvbH3PnujIlKH1m03w7E/Og6HHXao9PN+2HXn7fHd6iiGDfsFBh7aDwMHHorBR/TDtt03lxLIwcyHgXnyjyuWoiiKoihKPTR7hydiZmkT64b2YbIWX8/+Fsurkzj1xB9bm6eiFWrXrDUzlu25117GMDKzthnjyP5gpXsVq1FsJGOgp/DC/57Bgw88gJdeHofqWs94FUSsCQYzWpPeKg5jdBrXQvStwaxZ32Du0mqcccZPvZxEfl0t3nv3XfTsvZOxz8slGN084XzVizSGvilWnujx3uuv4cH778N/n3kWK2vtqITtPPZ7FFs2+7cUbFPxmyPmFse3336Lr+cvx6lDPH1pgEeTeOedt7DlttujY6dNjRjq5vUMMdrDdGVMbmz9UB7w8aS38eB99+Dxf/8XS1aJx2n3CE5fybsB7WtL5Y5hwelcyFKcLLo5M6ZNwp/uvxf/+OfjWLC8psTcGwAFJON4/bWXTH9++pnnzDdqjM6VHR5biGT6PUjRUpyqRYvmY9rML3Hk0cebujC5ST+f9M47QFkncXh3MvFmcnHZaQ93eYSvKYqiKIqiFMLacM0ZY9dIMaMxJKvXYMbnX6Gyw+bYuecW5mUbTj+9Yk0tZn3zDY468nDzJJlGEgMP9YdGwXyTkMR999yNCy+8EH999DHU2ffa0uagNQn518aXgnEARFdjVtetxZdfzUKiYlPs03dP21iRKJJr6zBzxkwceFD/gJ40w/m9k520oDHwvpjCv8Y+hosuuAj33H8/lq+ptvl7ytJU56opfKmIUnzjyUw2IA5tVdUsfBcvx+GDDrUy+Kv88TpMnzYVe+yzv/neh/P22dewbMgvN+NaFItpMXE+xj33JC6+6GLccPOtmLf4O7PPODgSmMa2rP1bCvyI347u8C+3vJfa2JCi/0RxPC65+CL8YdR14vgtboCEUolI9dbib397BBdccCFGj77bxDagJUNhPglqaH5DqRorVy7H5/NWYvDRx5r+bF6fk/D6q+PFod0Fm23a0cRzVIftn+5n5h1StzCxiqIoiqIoRUHbolmTecIbxao1Nfhq1rfYeeddUSFWEKeq5ctlkz76DB023QwH7beXNZI8K8ktGxWTaQStWlVi8803R9u2bcTebjwZNP4pIcqVeAqffzkLW/fogQ7tYsbB42TbM7+cI/5fBQ45eP8s04+vJGU+sm8c7OtEop/879xpU7Rr17bR9GUuJiezIl0xFTOzzG26ZTds36OL1TcZw4pFK/DdilUY0H8/o6/T0x8aC/v9Cr9jSaJz582wySbtKdDuzAPlB+vEv+3Wi6m3pDjUHTfriA4dOhRMX98+f50UI7d1mzbSnzujrSwLJpd9QX3z5e/ibVFkXby3WV/PRfmmXXDgAXtKT+ZIDne1xaQpH+OA/XbFJu3tK5l0Zc2DC1mPuG+ZCjeDoiiKoihKKBExSsKtlfXMr371K9x8881ZhppBSmeLaL5qQE2trJe1QqV4O2ZkQayiaN1q1CViiFa2Qpkcnv4+wsD88ltKl1xyCe64445cufnwnvIn6moQR7nIL0NZOX8Dx0phSRmMicaZpoyxlps3R4fuueeeHLnmeDF67QftSf6+KGpjlWjNb79FtBnRSaxFjexOVrRGpWx75mBR/PKXv8SDDz5YtL4sTyQhhairNt/uxMtbiV8SRaXEWweM7WBfSOOoi2RsYoMMGzYMDz/8cI7cRCqOGL/R4ltj0Rr+tA5WS+5tK0RBcYJi5oP3WlRLRaRatS1Z33xy80GHJ8rffKpdJf2sDVYn+P1YDK1kn9OXIzPMLeJrX/ZRJ+Prr7/GG2+8gaFDh/qMfr9808oSOFZliSRZAZJfvBZxcfLisVZISr/K1HP9LF68GI8//jjOO+88s12UzsbDiyMhfSqeEGnRcsRErn3QQM1syJTZxvj1Xbt2Le677z5cdtllZtsvlyOE5ggjR9ownsTKSAVal8fMjIQ8X/lKXW1tHPGKVmglytqjeZysOZHmnJa6Ngu+8GlcIlx33XW4+uqrmUBRFEVRFCWUUmzH9UKO/2WMaFnwNS8xxioqyml/CmLu0Nnhqhjh5ZWV5olx6S8xWXLk5oPGnBi5MTHOyqUsFTQOvV2Etpmxz0geZ8dPrr5xoxdf5UpFKkVOOdqU8SP6hDF8af8nylqLvq3RWrYb2oDF6hvhK3z8sJ36ikNZKc5OubePtif1Y7msloV1JUG5Ub6j5LUxRN9ouTh3FdSrVvKl0ydyYhWoaE1nhz+vWly5G4qZjILtVtlerHExzCtixukgTl/bqixzpn39Rj7X3bY/njCP9G/J0FUUp8k46FFqJj24oh2iUtfsV5Sbr31Zj2FtGJRbXzunjNMmOolTXdlK6tlzdni0K6UfZleMXAdHKiMSzGQI4uhE2L7i7PBcLWPbJ8XJFYEx/uaUODK+GrXCstrbrgdjFUVRFEVRCpHPnlrv0FAKGkvEfLwv0XxSbJ6s8yOOeB04ja95n5/DHmIaR3m8fR9JAtVyITdPP2Ey68M8s47E7LEcjfEMQGeEOafLPtsOJ59cE8/8ZEFzn9tm5MTINOKM0WyO5vRtJVKyvqY8opE4m0kx8BNS92ViJLuadTobCmSdT66tOqsvP5ZPyrLMtLRI4CES+FM7TGZHvbIk1ouTW5/h7ycp/SgZKTPl4dExOTZXX69wASiHr6Ux+GVyPWvbHWsyZby4PdKn6ujR8hssKQNnbMvnwJt+EVKnlBukkO5mlkGp9EiU7hWlJZDiMJvZsjEWbkm5PLl+2U5nP0F9TXL5U5eQ/iPtawa0qGtE6kmC+VaMv07qHWIX/CvBi/OtSGkyaRVFURRFUQpBO655I0Y27SZjeImhnaSRVFYu0XabdhTtHmtbmT92O71VP2GGYz4oJyXpzdiDrNtXfwJGpnHCjKtWkFC5KTslcAJxyVv0pROXLKMlK/vE0fBazOgb43NySsqE+ggaq/UjckVJFoNTNJeV0dGzoxIul7T2BQqQV66ZBpnLpJlxzqyanGXDKMXZvUy0bGbGkoqldH3pb9g24HTKFGd1zTgfmda27RwkKo3E4HBlYMg4TsyN+njppH054QaLapra9KGMpEL4nQu/XFKf/kkeR31lwe+WKDMmBfHmCBAyOqajfFBumIxMnHeULPiqZpmcu5TDQUML52NjEGfKqxweYY7yCsFT3lszf0l6LROlKIqiKIoSSrZ1tAEJGkzOgONf7qN9ZH79RZLZ58/cIyFtDAnOMvaR3peHfHLzwfSeZIr21jLGvyWTR77cCulLh4ouFX/xJkqHj0lpIfKjB4kvk1Sm4SQ+mH8+efmoT1/KprND2zNm6pfpJfA4rqZjMtvFkJZrfrxTtJGsmTvl2Gm5qS8j+RpbXOI5BsC0TNVw6tVX8mf9pxLpMRhB1vjqlykD09hg42x+zNflXV7OVy8rwttY8qB2TGndC+rIwA1+u2W7sXmt0UoJJUwPynRy69Mzg6TzRLGvsWxpuWbhrXuEZUt9Kysrw+WaBq2TpX04YTpUhGM8UnfmoUU5YuL0cpWjew6bCyN8kVnriqIoiqIoxdFsJi3Yddddcfjhh4vNZ18F4pNq/uioNRpZRFdM+xiYrzfZWNnPNHKMS1kfLv9YLIZx48Zh4MCBIiuBeDxujLew14IclBKxVrkYafzOJoFktBbRJN0xcUXEgC9L1Zpy8AdJvYfUBr/cV155BYMGDQqR62lhDqQcYwJLLPeJoWx0lVUD0wbxCfTwy33ppZdw5JFHFq2vhXJc7bIGmN64XGYrJWVlcV0Kh1/u888/j2OOOcbIZCgrk7qS/e6ozLFcIzaOS7dWLMXJDYe6sM7pYtPhZMqEOAKxFN1sfuFTZkpj64B9kP1B4qUOKY/L1atXm4kL9thjDyPT1S/7sl9PLm1emfJkdOWaTZHZm8Hp6NZJXV0dPvnkE+y7776ora01cUzDtg46X46k6BtNxRBLihMSFX35A6TUK1UpcvkKmxzr5Z+SLHjmUR+Xn5M9efJk9OvXz8hlnNtvFiaNl55/TJyL4apbI06WSHJy3QGCaR4vOeVwNrsbb7wxS6aiKIqiKIqfZuPw/OY3v8H111+fZbQ0pgHjN4j861dccUV6driw/UHSpj6rjZaXbCT5+pkZd5Eo7ucf2cWvjrhizdzsfEeMGJGeHa4YuaWST1/ODnf33Xevd7mcHe6BBx7YIHLvv/9+Y/gXI5djOKbFTNNJQ0rg2IR9yc1OmeDlYlLy1TMzCuflyeW8efMwYcIEnHTSSek4Rz656wplrFixAv/5z39w5plnGn0L6emwPVSC9clM5+UXNe7lO1aBVdglMKntqgedHM78d9FFF6XlFSO7FPz5uXUu6ezw2kEaU56iKIqiKC0H+4i4GeB/auw3bBoLvzHkz98vl/gNq3zYUkkak8wah2l7ka/qMIFJJHlx4bGuckvBn9f3Xa4bCSHBcgRhi5m9pv24xm22ruSRbldu2xZ3vxHDPJ1OHGmprq7OimtsmK9/6eTW1NTkODsuTUFcEcWJ53yAwXG1QjlwBMmNKLF+SVEyS8Bfh/51yiYl6aooiqIoyveKZuXwOCONrwFx2djGC/ML5kkj0cn1L/Mhe60haJLYdIxJH5HyXB9J5OIbQ25DULlWrnNyuM85A/lIu67pRpZj5R9j7StdsmbeqbJjPiSYH2URZ/wTxrn4xsYvnzKdvm67kNzsPba8jLNun9SnXZhtflUmLcckWTK57nR1zqXfyWxqnH4sB9eD7aEoiqIoyvebZuPw0FBxxqj7FqKQodYYMH9+0+GMJC6d4VYYYwEK/MMghqG3Zv7Kf2tysXptrJ+Gy103KId165e7PozDDS3XP+JRn9y0oe/ODLH4+Y+tY4/kX9umwZxc/k4G5TKOoxD++MaA+fqXDifTyXO650NSWo35x+TFL3f41+pstOThkiBTB9lQnv/bqPXRl/0E9QvWiaIoiqIo32+ajcPjDDS/IdfYhkuhPBnvnKz6DERj9lnb0MRwJZ0rp5WWDe5ycY0htyEUkkucYapyfXhDGvwuS3KUVTlFJLn0TvPPbROzLVCmyzMon/F0OpqCMD385fCXKy/efvPXK7uZPE2WDM7tITYlD8mcpy5/NzGC28dlvbIbAaenoiiKoihKPpqNw+M3WtanEeM3ytzT8fwGqqRNchYqoM47LMmn96YaxTDkDzbKTn5VYM1EcWTMMpfS5DYeTq6Tp3KDsB35FUvE/PCo8X9kvdxMTFEn/o7kJ//tb3Oypa1hz3wdwXV/aExcfsF8ue3Xu165Sc7MxldKWV9M602JTv2SnB7c1gNf95Oc7TEewTL4l/XKXUeC+Te1PEVRFEVRNk6a3uJsgXwx41M8+vBfMWveIqRiMcT4g6C1K/DiSy/h38+8hJgYypxSN9c8VJo/KSxdvAD/euwRTJr2CerEhjY/Appai6mTJuGhsf/F2lr7w5ktom3FSVi1YhmeevxRvDL+fdSZK4I4cKlq6eef4E+P/B3LVlSb32KyDo+iKIqiKMrGhTo8JZPEC/97Fuefcw4Wr65GHaMScSRXLsHFl4zA3X/5J+f6FofHTu6rbGRIk02fOgUXnfdLTHh7Mjj3WCQalzZeiztuuRVX/v42JPjbNBLKzG/ybOxtnMKsrz7HFReej38/9Yztz5yLOlGDRx76E867/GqsXLPWeHfamxVFURRF2RhRh6ckksDa5Zj28afAJl2x2w7dUc7oWCusXr0KX3/5OQ4/ZABqohEximMoT9WJkahjPBsP0lapalRVzcLS1WUYeMQgxEw0R3iAyZMmY9c99kQkViaR0RbgAIhSybVYuGAB5ixai2OOPdb2VvOtUwLj3xiPHrvsiTat25p6SKY4S5uiKIqiKMrGhTo8JZKqWYNPPv0UvffsC/FrbJws33/vLVOZu+++J+Kybb/9UPNw40LaK1WLKVOnoGLzbbHtNltZhyeSQvX8BZj97Rzs3XdvlJeJGytOQdJNQb5RU4tpU6eius1W2GnHHa0Dz++U1qzFp5/MxJ577YOKSsamzA+sbvwjWoqiKIqifN9Qh0cMufwmHB0WGrWe4yKLmuo6fPjhhzjyqCPSx/ED8dfGvYotumyOLbfoalKbI6zXo2xIim4Cr9UScbz9zrvYdb9+oJ1vHACJfn/ah0hGo+i9fU+TZ8r84Ggzbt+iiiZ9O1GD198Yj6126YvN2rdBRTJuauKbr+dg1Zpa7NJre1S2FgePEwKYTq0oiqIoirJx8T13eDi/Gr9aCBhzss6H90nZt3TVt9h0s3bYqlNndO+8FXru2g+r19Tg/puuQtctNsdWErp17Yo7/vwfzFm4BMceuR86dd8Vcxat9DIrDTfDmy0O1ySY6bPSkR7cyKRsOpxgOwlzWAhulUK2Blyjvtm14HLOpCsFOSqSlL+cTc/LwSzkj/yvqY1jv333Q5dOm6Lb5ptg6647Ysq0T/DhuP+g19ZbYYvNO6LbFlvjqJOGoToewa/PPxOVbbfAyxMnIcJvXRoIj2R5OLVFutV97cyFnQOuFNiP7Sltc7YhLYeZyeLHP/wxNu/YAVt22QTdu+6E5198HQs+ehG77LgVtuq6pejbDbv1Oxo1kQrc9YcRaN1uKzzyf8/wUJOFoiiKoijKxsT33OHhZLzmpSXPkuMfa9LxgXY0FUcsXoPVy9dg0dIlmLd0KZYtX46oGNBrV63C4iXLsHjhYiydPx9r4+WojUexbOF8xON1iHNaqwaOAhRnVGbKur6oX5PGLE/p9RYGx+/o1kbMRNNenKwYN4PtG41jzuyvsHzpCixevAYLFy83WqytXo0FixZjkbTxokVLUV0dRzKRwsqliyANLU5vrTjF6376pLX0jwY2WHUpuXHuiMuES76IFrW/QyT7Fyz8BsuXr8ASo+93ti7qkrK9HIsWLMGShUuxcvUq82rbyu+WIrW2GitXrPJyUhRFURRF2bj4njs8NHzLPQOR8HUeMRhp1SXqxH5MoUNle/z90T/j0b+Nxf89+QS27tIO223XA7c++DD++Ojf8fg//47fXHyeOEgVOP4np+OxfzyOP983Gpt0aIu6SMyXd3FkG5XemovM7BCyNtYD2fKyisQKM4pmpymG3CMkJu0o2r1uzW6VhvUj5A+t+iQ37KgHx3si0STKyupw15034e9/ewyP/99TGHjw/uiwWVtcfu0NeGjs/2GsxN9713WoiEWx9159MebRR/HQXx/D3rvv2bACefBQezj/ir7mN2QyGXqxvphicZOh08nJfHFTJ905KjogUoNrRv4KY8c+jP+TvnrKSceisk0lzrn8D/jrP57G38b+A4/8aTQ6bFKJHr164MExf8VDjz6GIw47BBFxEL2GVhRFURRF2Who9g4PzSsXCtJAOyxtUJqVhCy8yaTLaBy2Biq2wEk/HYbTTzsBxx/VD98sWoM99h+I04cMwRmnn4wTT/ohKsriiLVug8MHD8ZpJ52AoT8+Gh1bZUYUSoHHBA1dvpCURXqTqRoipXjsCIk1oYmVyC0vcGEiG1aW7KPslpPHYHFbmZhi4ff35s2zdKVyrCNiJpTm61+pVCVOPG0oTjz1RBz/4yOwZOl32HLrHXDiKWfi1FNOwE9PPQk7b9MVNbFK7L5/f/zsp6fgzNOPQfet2nr5rQPGUXQ6+zY9XTm9eelYRdmP/ZTbeQfEHyrH0cecgFNO+ylOOPkHqK2uxWadtsTRJ5yIH8v2qaf9BAfsuh1Ssbbo1nNX/PyMU/Gz049F7x26SrbrqrCiKIqiKMr6p9k7PEXRELvQI2K+lLCGpj8bvpGWlOoxH2uzmpJ1+HjqW6iLtEWnLbdF+1ZAjEZlogbTPpyGsopy7LPPPohJ8jL+EGmSv1ZP0700jHHuK0jQ4UiTE9E0BIojuBgJ2TsaSN7cPfwxmdhiMfUpf8w/NoZsmzhp4KgZgaMnYCZdxqrl8zDzq1nYvEs3bLV5F5QzvbTj9ClTJF0Ue+23v5mZz5aCDklDRjzyp+ceW9LMVqH0ubDA7pT2Hy95ppImIFImfVb0FWcqWbsSkz6Yjk6dt8B2225lj4zE8dG0qVi1Non9Dhhg6sDUl9nH/BkURVEURVE2HjZeh8dvz5EG22H+J+HWubBI1ciqdYcs7707AajcBDvtvAtaScoY4li5aiUWLFmGtm1bYfdddjSGZEoM6Wg0KoaiK1wJ+A7JODvW4cnNrQUYn0Yxq5nTMVtP/1ZD9OUxGTfCIKuR9GgFlxLEqv/yyxmorkuhR4/tsHl7jgQJkrbq67myTOLwww+VoprP/yVEJA+uZZe2Pmxq+csVX3Cr9gscBrdoiM7E33uoL4P8YZ58ZVDWF8ybg+9W16Jz5y7oucUmKONO0W/GV9+If5/Ascf8QI5NWOffC4qiKIqiKBsbG6HDQ6tLgnnsLMH8Foq1xMzvJZZIQgw/82mHgSafGbeRikkhmqpG9dJvsE2Xrui57Q64+De3ArXLcN1vL8Z23buga/fu6L3z3pj8wedYNm8Bdt5hR3Tdelts2bM3vl60DHExLG3JSsBn33oaGlIp+7odDdJE3JtZzp+4iaAE+iNJ+UNjv/GRPL0hBP51Eqx2ItM1quxoiPikMfKj0pZ0QCVCNpNRqUNG8xXG5CocfvA+6L7FVjjiiJMRr6vFE/96FNv37C7tuw269eyFP/7ff4C6NRjcbz9022ZbVHbYFq+O/4AZ2QxLIMt1tUr6sM6JwSQpLW8elIrwOzQ5OGV/HNUGSo0iwTaM1uDEkwaLvp2xz14HY8mKFXj7nQnYZdttsF3XrdGj+w644f5HRbdVOOn4w9G9+7Zot1lX/OPxZ9K/O1UKPm192Fi2retT/NuA01dRFEVRFKVeNkKHh4h5ZAxhWXpOBe0m8617qXjGtoWvNnlWnXn/ieM7tVi0ZD7mzFmImhrGJ7Bk0XwsmLMYi+YuxMIFy1AjWVD+t7O/wbz5c7F67VrzNNyf87rAksRouJtH7OKSlZUZB2R9GIjUi4auVytipDrFvEi3o8HYWrJ/LczSzCgmsRyVoEwzVsE6KBl/zrkkk3F8NnMmFi9aiRWrVouyZVi1cgUWfPstFs+djblz52F1rU07d863mCfbkkD6gkRGfP2laLzy+A+TdW7SLWEwToA3CrNOUJRPfZtdyuixaNEqLF++2sjijIPfzp6NJQvmi75zsWItdUth6YJ5+FYc+do1a/GdpLEUrs/68Qol7evU8zvS65q7oiiKoihKkI3G4ckx/WgtmWA3PTOqRDiKw5eTMq4DszNZGmsshtabdMCf//xnjPrd1di8Qxv06L0bHn7kb3jkL3/EP//yAH7y4x8iHqnA9bfcgr88+ggeeeQh3HfX7ejQtm2jVG66PIRl8pSk8Z+Q9aY2EK2z416L4oab1sGFxsHp4XLlt1Bm9M4Yw9bZ4Vqp+pqjXKYSbG529jL+jZW1wh133oN77rkVO/feFrHKNnjwz3/Fo2Mext/H/BFXXHw+YuUVGHLWOfjL3/6OMY+Mwf0P3Yvddt7Ojh6tA5lJCqQs/OZLnAAzsijlYjk58liqvlZR/s090jgWqTKMvGYUHvrTaBy4767i10Rw170PSN/9K/700P247tpr0K5NKxz9g+Pw178/Ln39Edzzx/txUP8DTI6+Mah1g3XnFdE4taZsdltRFEVRFKUxafYOD82rUBPLGEjm5R0kzcfYNrpUOItX2ItnNDYTkVZARScxds/AXn12Rnk8iUHHnICTh56K04cOw8k/+gE237wTYptsihGXn4/TzzgFPxtyMn526k/QsU0lYvEGFIsjThL8JTJ5JOyIh/lRThqIjGygziUhhjgdD/c9UpKCRT5L45XI+5sdUzQhOtgoySdhJwWIRKJISDHo4JWKdWjjUrKEKR1hFUdFj2SCerTCSaedicMHHYY2rRLYevudMFTa+6enD8Wp0pZ77roT4vEoRlw1EieffjJ+PvSnOPfnp6Dn1p0bom0aHpd1vFFatkw7W3eFLy6WnD9f3TOZMR8ngf0pgUhUTndxeI466kc49gc/RLv2MXTouCXOOf9snDFkCIaecTL6H7gP1qyuxvkX/wonnnIifv7T03H+Wadhl949JYfGu1yYVxXFm6ajw8Ayc9RSURRFURSlsdloRngM1nazmKfCwLhXX8W///MfvPPeu6gTI6o0k0kMwxRn6aKB6D9SjDAx9J1hjEg1vvjqKyxdEceJP/mRrbRkCsm6JN6bNB29d9vXHB3jK3DiQZkxI4ngQ+wSCyTYA9xhzMLAFdFv0rvv4fH/exzj33wLNfRF7N6mwxtlmfLBZCP3jTfGmx/hpFwXLFyjgV0qVMxqyRzSa55j98n06SL3/zDutfFYW+OXVxxsPmtOWzfAICump8gyyjKn4pg/Zx5mzZqHn5x8utUiZvV5673JqOy0Jbpv2QX8KsYY6iyeMdJLLY3geao80kogsmYcyxRmf/4F/vP4v/HM/17C8pV0eUqFObpyeRqLzJSRK7BTx5JYuHA+Pv+sCkcc+yNzhOm7su+tt99DvE1nbN9rezN/HWcn5MgTR9yy3fB1IxKLmrr84IMP8O9//xuvyHmc1UaKoiiKoiiNxMbj8OTYWnwynMS1112HoT/7GR597DHE4xwRKA37w6N8Ki4Gn0AxDNFI0kwtHRHPJVGzEl/O/hao7Ih999jJGoJisK1cE8enn32DQw45EhWMonMgeYmJmPmevUEWnH1xKH24efJtM7r33nvxM9H3rrvvwpo1a01c0+FVusgf8/AYI/fWW2/FylWr3B6Df710aPwHXYeM3H/84x848+fDMOraa7F06XIbXwKmJs2EBXbSAtYiW9p8DxSlkU8vqhbffjsfy1dEMPiII7yaprMRw5vvT8WOe+2DDuURVCRqxQfjqBCndY7J34YY6Dwi4/AQ40h4Gb3w/As466yz8JvfXIVv58xJpykaKmmOct8X2Yyj7ls36otqLF22FPPnrcIRPzjW9nyOpiUjeH38u9hixz3QYZNW4uDViWMix/O/cfAaF36n9be//Q1Dhw7F73//O++7LUVRFEVRlMal2Ts8aYPP2W4+q4vGZ7yO7kXEGJ8NMUAjETH0jBD7Q6E28Im4VA1fAYpGsKamFaZOn4Etu3ZA+0rKIVFM/axKnKw1OOqg3WxchK5QpXV+uN2A2qXzZR0wWxaD2ZA/0RhWVdcgFhNjW5yrWEIMUpuiiaBMUUKM5VVr10q56GQmzOgXVWMwRTN/XUxpODM6k5/X4pwQIFKGFWtqkBSZUcTFAV3rpS4F7whbUIORYwz4MimAtFasNaZ8+pk0XTn22WVbtDKJWmHVqgQ++3Qmjth7J5TR8I9J+0pdmFWfqulvUHz4t926WTKtrPNwjhg5t8TERMuwvKZW/DOp0ZS0be0aky6MoLw00m/t70fJuhfYbmZgRzajxl1vhY8+rUJdrAyH7bsLWksMopWSqjUmvP0ODuvTAx0qK2398Hd7RGfqaH+sVfIK6JuvLIx3xcjALY7uuHXZkj5mR87sQwdFURRFUZTGJJ891awIN6fEKBRD6ZlnnsHXs2bh+uuuR7n5OflSYe4M1vhyBlpUnAvG8ruCtu02w+P/+jcmf/AeysXapbGcTKZwwICDUFX1JY48rL/v6ICzss648gliaD40Zgy++PIL/GXMw9i0wyaNKCcPZmQggtF33YVvvvkG//znP7B5505pubnyG1YiHpV9pGxJ+153ww349ttv8dSTT6Bb1y1Lz92rOj9OlnHUxLFKJiP49VVXY9Y3X2PT9q1N+/IVsLabbCbtW4Vrr/6NODg8VdyRhTGGvrSVW3cYR8Gtp4NrW5v/eRdeiM+/+BzjX38Nu+3cO680l382LlfBp7dNKxGMM55QDKef8TN8Ke25/bbdzCtrxjUpqzSvbv7p3jvRplUlj/SCxWyFyPXH+XUPL6OH7IuK4z5q1CjMkvP32WefNY68oiiKoihKY9PsHJ58T4vzsemmm6JLly7osMkmSJoPvhtGPrk02hg6deqETUSGM+gYKioqsMUWW5hlQylFXz4FZxkok0spwnqBcihv8803R/v2Inc99pq2bduaut9s083E/2k8hZ0xzvrnCIOT448nrOtWrcyYT0HcccT1D7deLHxFk+VgPXfs2BFl5fkdAJYvt+94zoZEO7HpJIwwcdwJtBE5nTt3Ng8N/OWl7Hbt2qW3g4TLzeiZ77gwmLZNmzamHNRXURRFURSlKWg2Dk8+Q4mx2Xu4JcUWq9s5ONYIS6LM/55RkRQy7LjPH4h/GYwrhdKPkfKIcUrjnMdyhIm2a6k4uWFGayi+dDy2dE0tJcuV5Ezr9JUW9helaPLJ5fciro0JRxcoizDOySUuvhiYJ/N2+Tu4HixDFiKK8lxgyoLJvXRB+Lqh/LUbxJNrv4+hkJhsy5L6RTm6Zc8hV+ZEIhGar8PJDaZx+Tjq05fH8xguXbpgnoqiKIqiKI1Bs3F4SCkGD40kvhLDYzLB21ki+eT6jTYuXTqu01hzcUFjr1jyyQ2FaX1yzWhHCYc7bD2VfiBlGn0bOMpSslypdqb3120Dip1Xrj/e6cZAg98vk3Glti/z9TtJTpaTF4rnG7j2ZdJCyf24spMo5XjrhO3lZDtdbDnoVNlyMp5LOn3cV4q+Tm5QNyezPvyOpaIoiqIoSlPQbByeoNHjDKl8+NMzbUONplLlOvzHNUR2Q+U6Q7rI5PVSnNzijFemK5Zi9XVICUrIPT9+uW7dH+c3wDPOQX78ebh1vuLI0JA2dg6If5AmjLC8KirKTTBi88jK6EZ3J5PM5cf9ro+FESaX385VcpIDObYYHQnTpXX1tuura0VRFEVRlIYQEUOjOAulienduzcOPfRQ84TdGUPFGJyl4tRl/nyiPX78eBx88MFGbl1dnTHe1ofc1157DYcddli2XC9NrmTXRNl7GFtfKZ1c6lNWVoZXX30Vhx9+eJbcwl0gV0p4aUgmbVDuyy+/jCOOOCJHbm7uJFxCeNpswuQeeeSRZsry4vQtHcqiXpTHvrN69WrMnj0bu+++u5HpRkzyOxL+8mQ0LKQvdQj20braWsycOQN9++6N2po6Mz8BJ99g2Zg2I8V/nHV8isXpyqXJ06vLKVOm4IADDkBNTU1W2dyysfDnzXrl93s33XST2VYURVEURQmj2Tg8v/nNb3D99ddnGUiNaSz5DSX/+hVXXIGbb77ZbIftX1fyyb3kkktw++23r3e5F154Ie666y5jfK9Pueeeey7uu+++FieXRjfzdnlyOX/+fLz55ps46aST0nH+ZVPAvFeuWIEnnvgPfjZ0qPlhT+Px+OSFneiNURo6dQ888AAuuuiitH6Nras/P3993njjjebaQZqqbhVFURRF2bhpNq+0uafGxG/YNBZ+Y8ifv18u8XUzI6kAAP/0SURBVBtWjUFzlOsfaVhfcjnC0hLluryZp8u7trYW1dXVWXFcNiYuP7c0csXxMHLF2TGxnprpNOZv48M6ps7EjWY1tr7Uz+FfZ38mLq6x5SqKoiiKsvHTbBweGioMNFxoQBkDxhgvLlj8MZlYkhsTxMnwQ1lOrls6o62xCJPLp+JBucE060qY3DB915dc1mtLleuHMoi/HzHOxTc2fvmJJCcmEHnGvcnMhOZorBL4ZXLd6eocQL+T2dQ4/VgOrgfbQ1EURVGU7zfNxuGhgcRAY4XfuBgDqmQDsX5DJ8v4k3V+d+GMJC6DBmJTECZ3fRhpG1qua9+WKtfl72RQLuM4CuGPbwyYr3/pcDIpivKc7k0J5bGenRy/o7c+COoXrBNFURRFUb7fNBuHh0YSDRe/IWdX8xtruWZNJibsKGMIeusOZyxxn3N2GttAtLqEG2FOLmlcuV5dUh8vhnFBfcn60NcvoyXKdXmGyafT0RDqK2Uy5elj/lr8uvnL5YcldKEhME+np8vfvaLp9nEZJruxoSxXFkVRFEVRlDCajcPjN1oyRgyNdf7jMgPXI7T1jEEVRypZB3FVUEcTjq/0yL+4+esdZV/zN1v+fIK4p+MNNVBLwW8MZsk1evE//7nySmSiTpYJ848aJmSHMXf5Q5Ni+HqH2SrhHy9/s2nWBF882RD6OnktSS5lMF9HcN0f0phi2TY2PxVqttm2bGe2MMyaaWXTxra97WE8zhuJlIiULBkfk37ANb+cHLmNjMs7bNmUckkw/6aWpyiKoijKxknTW5zrTIxujATrvhiDj6TWYtYXn+CpJ5/C4pXV4uBIGhp/taswYcIEvPzm2zYdn+oH7SAvE2tuNjO8slIXrrKESTZTNIl5s2fhf08/ja/nLEKSO2kBJ2ow6b338MK4CfT15ABGZmBUWv1gPSgbDtNZ6aBYh4dh5XfL8MaL/8PUDz8x/dmcnKk4qr74Av999mWsWlNt29cbqcqGLa0oiqIoiqIEaf4OjzHiuVKTXjV2e+o7PPHvv+H0036GBd/VGoOxLJXA6mXzcPbZ5+CeB8dKOqaUI6I8Kmgkmkzlr102F4wjY1akXF7RzCJVi5effw5DTjkDX36z0GgT5RhA9QqMGHEpfnfjaKYSjT2NInamLmZnn/8zMM4JUDYEriU4Mgnpr9xgW6bEAfr8049x7tAhePyp58A5z8rYq8WhvfeeezDswivMb9yYtozEZK8ZyzENbFtV2j1iW1pRFEVRFEXJ0OwdHmueixmXqjBODQ06jvZgzQpMm/4x6tp2wrbbdBLjUEjUomblUnz11Vfod8hgxM1j8ggSSa6EmYLWHWhOGN0ioqkYwAkpmnVshNqVmDFjBlaiHfbeZ3fQ5EVKHJ6a1fjo44+w2z4Hmp9dca9w8a8L7i/zambqfu+wI3fStmwIcUoJ27I8uQpzv/0aVUvrcOjhR9n2Nf22Dm+OfwNb77ArYhWt2MDcITlY54ZtavqMbCVNftrAiqIoiqIofpr/CI/5WEeCWPMZUy6F+Mo4PvrkS+y6937GODSDOLEo3n//HWNU7rVnX6TEC0qJijFxemgI+o93NE/zUPQVp8eVMkIjt6YO0z/8FFv33hWV5V7DRWL4ePo0rF29Gvvtd4BxCBHlK4AZ/Qw+J0jZ0Li2kBY0nS9lnXVxXqd/+CHq2nRE7169IE0s+yXNqhX4/PPPsPsee6K8slJOA+ntvk7rb1nmqSN4iqIoiqIo2TRzh4eGHM14PumOW8dGAv+uWBPBJ599gx/88BhUSkyM6SIR/O/FV9B9627YfNP23lFE8jHDH2ZD0tmV5mkaUkMpX8RMwWCf9PPVp9ooJk/9BIccfhgqmMq88hbDq6+/ic022wxbb9XF1FSSH25LeqebX8fmqe/3DOl77H3G4TFr0lZmgCaF18ZPwPZ99sJmbVqjjHHi8Mz8dCZqamqx6069EBHPyLSvOMRZ7cu+LWvq7CiKoiiKouTSrB0eGnBxPusWi7B22Szs1KMH9tp9L+wu4YCjjjO/Kv/IXbdKXB/s0acP+vbti7GP/w8L5s3DGScehb0POALfraqxBqExCi3W5GSc3W4usDj29+ojSKxahv322AV77r4b9tpjL/TpdwQWLF6C5/75Z+zbdx/sLvruu+/+uP72e7Bi5QpcdPZPseNuB2LWnIWeFezDe3VK2fBwAgr6MmWpWvz0xOOw9669secee2DfvfuLw/MOvv30AxzUfz/0Ecdnz7364ugfn2pm5Lv35t9jux364oVXJ5hcnHtjurD3Kpsd2WtmnVpRFEVRFGUD0+wtYRqH/FNXW4tZX3+Njz6aio8//hCfV30hpU9hTtVX+PCjj/DxR59g+pSPsEL8m2pJ+8VHkzB3/lzUJeRg2oC0DiW42d7SNEP7MJlKIVkbxycffSp6fYzp1O+Lz01Rly1YgKkfTMEnH3+EKVM+wNK1CdE3jq9nTMOcb+eguqZOMjC15lROr9l1ZUPCUbiUmZ0tgU+mT8enn36FadK+Uz+cafZXL12K6R9Ox0cfT8fHU6dh9sLliKeimP/Vp1g0ezYWL10uGWTa1+LaNzPyoyiKoiiKoliavcNjDLhUOdq22xzX3zIKt952I+6/+1Z0aF+Gntv3wG9HXY9b77wLd9x2C4aeciKSZe1xzLHH4fab/4Crfn0lWrdq5XIxuO9b0n5OM7MQaRBHpVDlle1w443X4ZZbbsJdd41Gt+5dsEXXrfCrX/8eN9x4M+68/WZceO7PEI9WYMAhh2H0TdfhmmuuRseOHWlRGwWtGWx1ZbB1mdZc2QCYNvFeO7z00stx0y3Sf0ffhsMO6YfWla0x9BcX4gbpy7feeiNuHPlrxFp1QI8ddsKtN/wO1/zh99hjjz2YQbp9SbpFtW0VRVEURVFyaNYODw26GId3omVIVXTEJVdciUsvOR/nnvtzVK+KY8DBh2HEry7DhRddgOEjLsRWnTdDtLINfnTSabjk8itxyblD0bZCcqF9aG1Ek2vUuBRmtVnB4lQaS1bWWnfA8Mt/jUsvv1T0+wWWL1uI3ffeCxeIXlf++nLR9yL03m4bqaDWOPIHx+Piyy7Bby87B102bS1xZVZnm63Jt5mp+r2FJ5w56SKtcMY5w3Hx5b/C5Refh9bRBLbaqhuGnneZ9PHhuOyy4Thm4CGIlrfBTrv3xaWXXY6RV56PXXfsLscyh0yLatsqiqIoiqLkp5mP8PA7haT8iwMVZbLOT/gjmP72BNREytFlq+5oVy5OAmdhi9dgypT30HaTDthr3wPlyBjKxOI3s12l3IfiRFT2vB/vF2uaFXTwzBtLNGqjbJ46fPPJVKxcm8LmW22NTdp6r6YlE5g6abLUS2vsvX9/USZqJjMwH8CLjhnNMprbv2oeb1ji0gLsf+LERznjWhKJVUswdfqn2LTzltiq65a2hRK1mDr5faytrjX9OVpeAfGJTH9O2qksPDLtaxxlRVEURVEUJYtm7vDQgIuIf5JAIrIW0ZQYeskIXn/tDaDtlui14y5olaxFRIzDVd8twxIJrdu0xnY7bIO4ODUxYwuKlSgOEf0AYxb67EO76m00F5JRsVujoq/ozbKLgTxt8rtAWSdsv+PO2LR8rRS6DvG11Zg7ZwHKxOHZc+++5jdYOH11VAxoOwOYc218CpNGs4mbWb1tNEj7eK8cmhpM1WLeN1/hu2pxaLv2QNcuMTuqKe3/+VdfiuOTwBFHH2PcpChnF5Rt+xs+JjMPZsae7F7YVBRFURRFURzN3OGhKRcVxyWOmsVzsNNuO+OAAw/GDbfdi0j1Ctxxwx+w/3774YD99sWAQ4/Ch18uxLKFc3DwgQdh3/0PxH79B+C7VdXmiTgVpY1oJmvzAp+0e+MlJUHnqc7YmPwjTomUj6SNTeOopEy6kuFTenHi4msXil4HYv99DsJ5l18tcdX42x8fwAF774f9998L+4pub34wA/FVS3H04Ydgr332x6577I2v58xPv75nAzX3OUDpQhYP1eRMYdQnYSZE8HRO2QkgqK3BDE2VKsDWkperdzT/0jHg6J7dSiVlb7LO22paPH/EyE6XzuhrfxspXU7T7qWVx/Q3Oi7SJGeefJy051445IcnYdXaGrz/1ngM3K8f9t93H+nX/fHHv/1XRNfinDNPk7gDsf0uffDym2/LobbPWsl2nWWkw+u2ise6/HVGUVmjTgl/f6bejLd1YeNKgAeYg2xfYbD16tWiyZT1K+UwZVAURVEURWlcmr3DEzHWuxhGYoTNnDED702agu9W1iBVV43PZ87AB5OnYdqUD/Hxp59hTU0KdWtW4sPJ70ncB/jm22/FkMs4Hmlj0Fsp3ThkUcQwk+LQL7Efn3s7GgsWVlqlTvSbLDpM/mA6lixaI/rXoerLzzB1ykeYPPljTPtoJlaspXFag+mT3sX0adPxVdUsrK2pradIJRaYv/cj8C9Xo3x9MF0BNl4WPrK36ieTnp3RbDF/Q9Q6WkYc97j4JsTollbblsdsyJr5dsaLM2TWioWvZVJEnfz5cJq049QvMKtqgeiZwqKF8zFl8jvSp6dg0gcfYuHyFXJAAp9N+wAfTHofX33xJRYuXmr8pSzS28Ed9WOcdoHVmzAzGsq2qeumwZWQjp+TTcx604lVFEVRFOV7zEbg8NAoiqJVuw74/XV/wHnnnI1NWlVi2x1747qbb8UN112Lm677LQ499GBJXIbf/PZqXHfTjfiDxP/q8svRqlVFlh21rjYVDW++OBR1thq/s4mIEettGryPyhskixlJqGjTFtfdcB0uuegibNlhE3TcYguMuuFGibsWN1z/Wxz7w6NZCpx73nm48ZabMUr0HTnyGnTmLG0+1tmGFOuaedAGpq/Dshmnj4a7yGdUuhN5DkEpuNewTI2Z0TLvyT//S+bO9ra2cen5l44dKfFXHEWnTBvbSNu6/GO/KSuFZA1/iUeOk8o8f/iV+P01V2HPHbtI1UXxm9/9DtffdC1uvGEUzvnFmahoBQwafIS07y24/sYb8PtrR2HXXXbOElma9FzYn1Pi6BidpEzUk5VuqttgtymIskqWlz7Itp0/D7tkX+IGZZsIRVEURVGUxkWM12bBFVdckUomk96Wg9t1qVS8OpVK1KbiddWpJ/7vL6ku7aOpS665J7XWJFmbSiz9NPXzM05Lod02qRqJqo4nUgkeKX+4ZGBOwdzJiBEjQuTmp66WEmyupnSJZDp/R2Y9f74XXHBBuNy4xCWqU/HUmlQ8XpN6+7UXUztuuWnqx6edl5JakH2rJc281K+vvDQVrdgqtVqKU12XTNVKIcyhTCKBOYdJP+ecc0rSNyl1KQWRTKUdBOYtWyZwPUM+iZaf//znoXJdWc1aUnJlSK8nzTGJhG3PTNriySc3L5RLXaW/EdYpS+SVygfztPkG8//6669Tf/3rX72tAMxEMjO1KesLqj5LHd1/+9TmXbeTFmeU7Kldlnr+6cdTKCtPvfrmW6Zt66QdeAzLUSft4aRz22SUTKQWLVqUuu+++0xM0TrLcUZfU++yKofFWe/c5QsWuxbMe82aNalbb701HZ+934vzBQPlSkiyniW9bBk9/UcWw7XXXuutKYqiKIqihLM+HpmvAxEkExHAm80qFonji8++xJJVKfzwh8fYJ8P8zqOmBtOmTUOfffqao8pjopbsNAu+juQ9rm6MB8hlZVKWZBIfTf0A414dh48+/tT7/sFCUZ44Cucfu140LGWZWRp9P/8csxetwIknnWT2mifltdWYMnkytum1IyoqRN8ypjWDBo2urxnBkv9fz/wIr736Mt7/YBpW8VMa7vK0tVoa4WatFCTrTDk5QmRGUhgrJGsx+4tP8cZrr+Ld9z/AitpScy8dM9YhBZpf9Rlef/UlvP3u+/hurZVqS7Vu+iKaRCoivgwPlZzmL/gWn385G0cd+yOTb4SnZDSF9959F9GKzdB7x51Nu/JVQiNfxJXFYuk6s0v56yJKhaM3oseMj6fi1VdewZRpHyLJOB/U0IzDmGG2EvU1R2aOMWNH3GQ/TSbw+Wcz8Mqrr+L99ycbvRVFURRFURobz7JsxogBbGzDSA1QvRxff70QqOiKPffczhY+WoE1K+P47PMvMPCIQ02cNQztr87TwLKhkTA2WQrX/uH3OPnkk3D3PfegppavYdldLti/puSlQftTdDY61K3C17Nmozq6KfoP2M/qEBEPp6YO06ZOxb79+zHGvILldKRx3Jj6JpmRGKYP3XsnTjnxJ/j9qOuxVDwem799/cx7CU1ogL7p19g4k17E5GVzkb+pOvz9kT+L3BNw1dUjMX/p6oZIKA3jACTw5D8fxWmnnGR+z2n2ouV2Hx0cCSxDuowlwjnWzNzhPDS1BgsWzhO9anH0D44zdRpJSsuLQz3xzbex3U57oV279vZVQu6T4NaJSW9XBd+OUkhFEK+rxQP33YVTTjkFI0f+HnEpm21Pu3Tr2RvF4U9unB0XQ+dW+tVfxjyEU089FVf++tdIyHaJ2SuKoiiKotSLsaubM9aoi4mdVIHVq9fi3cnvY+ttu6J9uS18EmWY/MnHqK6pxeED+ntmX8p+XC9Eo5zmuYHGYBgm3xSWLVuGpUuXYtVqMcLNzGWNg/2OQRwWrlTXYfLUaWjfcTNstXlb1oIQxYyZX2Px4u9w2MEH2voR/ZyO/vXGwA5ipLBkyRIsW74Sa9assR+3NwqFzFurg5W7CqtWrWrUei6IyFmxciWWLlkhfW41EnE7a1k+WN8p+5FRGv+2W+fSfPdkVBPHJxrHlOkfY1VtBfbtu7sZ10txlCNRjrfenoR99umDynJ+JyVHsV3ZL7w6s3myn3BpegGjDdzn7wP+suRj7dq1WL78O6xYscKLyU9Q33z5uzKGY8d9Vq9eY86llVLfptx2Z0kE5ecrj6IoiqIo3082EodH/kYq0GbTLfF//3ocr7/6jHkliL+zwxGBfQ89EtM++ggH77d30ytkbKkI/vrYWHw6YwZuv+02tG5lft7UK6sN9m8DSmMOphAxf9t0xN33P4D33n3dGMPujZ8ddtsHH33yCU760dGerKaDrwXylcIbbx8t+n6CMQ//GVt0rPTMWO60r1pldC4FSW8+kmcO9kU2FwzRclzzh+vx0ccf4p9//xu6dWnf5PoaxaJluPCSK/Dxpx/hySf+je233dzuoxNhHA9XxvDSGMPdczj8xjfjovIvZYbN+GpkFGf94jx8MvMr9Niqo3Fo+bobylph0pQpuO3Gkago98tgXl5+Xv7i8WRifUmDcvMiHm1ZRQVuuPEWfPLJx3j0r4+gTJRzR2QdyY2QrILOldu2S98+89fblo1IWRmuGfk7fPrJp/jX44+jPGbPo1Jx8pzOBfVVFEVRFOV7R9q2bC74DTULXRp+NxFForwdem6/PXp028w+IKfRJHvLO2yJ3jvtik3K3RNi/i3N6MmVmweTbRRbbb0Nevfuja227IJyXy1mSfZmaysNqy+NYcRao9s23bGDGNyRpOgm0aaUbTZFr512Rse2ZU3egHbGsgg6bLUtevXeCT223gqtPKHe3F7GUDcjD3ReStTXDCC5Y1IJkcef1eRv8Mh2pBybdOmGHXfeBT237QZRt8n1jbJEom+bzbuJvjtj+x7d0ZZqCfYlSTPHmqev1Z/4jWyuu+2g8c3xGuMiMjrSBp26dMX2O3ZDmWQXSyZEhugeK0PvXXbClh1b2/JYaVnYL2MY63N4pNKcuKDcvDCZOLSdt9waO0p/7iH1HKzjtJb8EyyIRz59qa11Ee2WDW4Rxeabb4Edd9wRPXtsk06lKIqiKIrSmDS1/Vg0eQ00iTcGHf+YJPInKZZvpE6CGHueAWYON9+C5LHI8lC0YZjGfmtiXk2SrTL5Y18rykh25mnakA/ByQ06WnYeCdkXE93MagzJeLnY1rXSWnGjIg813+qkSv8hznxyC5FKic7ifFAfyuWaM4IzuXDL5h1GPrmZI3zHSpqIGOFJcSgSElISKK+sYI2GU7K+ktx8qhOtsHJlOybHhuvL2Gwoh6/eMfhlct1uO2dOXNuk7Slm8geTlfQpqevaVK3oLu6keb+RwcnN/M12JCzMLfjaX0ZuHlg/0tFS0qpmU9b8k6xnSmD7vEnPLW/pyC/XHW1hDNUyqhEzwmflZedYHH79gmVSFEVRFEUhuRbbBiTUYDEGr5h2YhTxabe1oaTYnD1MrH86HOYBPHdwNjdjmMmmF4qhFEPJyBfZccrhhljH5vdj/NgPX+qVHyaXuhqdjdFcZ/KI2vfKxKpMWBW9jCPeiAo3XagPyizJMBQdI1IeN/kby8Vf4+f0AlYyTXgPUznh5JPLGAbjyqRfbxOMHPPfkBLdxfPjmo0oktL1lSCVbH7w1MZI+9LFteM7JK2vWcstT1Cm22YU+4xpNiEas+3HlClOZCD7YskYyqJlZpzPzNjmeQYZKQF5cgxjXNVHXf35qE//pMigJpw0wHjUsswcwTjJ3P4PSjf6kKAMp3PmIJsuvcldJl/q6DmymYotmjDdXJkURVEURVFIrnW0gQgaLjRaaLZYk5IGUVwKK4a2xMdNUhrH/F+HMjFIqQifyAdNnfpMnzC5hWB6k8IdRudGnLFMLtybySNfbvn0ZTB2n+hi/BwxODkzN1LlEmdHtqIR426ZEZBg/vnk5aM+fV2denNAsOA20DAW3bnPBddaxWDlSvCcQ/6lO2PcClM34uCm3+FjlCvAulGfvsbhElmm6l1SUxwpnejMKBdsHdhEpv289YqKClRWVuaUmbvtsXVSoTWyn3mKY+A5HGZuccmS41l8UdDm5o4hsj/oAPnqqKK8wsgmriz11ZsZiaJYSc4JPkwbuoIaTMkKUl5eniM3l0w+TJE05w31YYz05oQ487JZuLS5xDhFt+RDucFRJkVRFEVRFCL+Q14LZb3C9/gPO+wwJMTwYZFofBkDhgaoWEXuCTvHeRj41N0Ye2msqRRUJmhAOXWZP42lN954A4cccoiRW1dXZ4w3yi1kKLI0zMW6AtbZ8bs83Gv30HC18oJyX3vttbS+abm+prC50aHgGvWVfUZfBsYxZyvZT6YUFieX+pSVleHVV1/F4YcfniW3mC6Q0Y9rEuQYjkbZeI5SZOJMqoDcl19+GUceeSTi8XhALoPLh9j8LS7exmXyd2lzKV5uIez+KOVJ3fO1uhhq7DrEkTH/6HTylUIa3BIv9Ul57Duc2W327NnYfffdjUxniFuHwsnm0upidbT9O5qUvKJMT0eIzpc9lmk8t8isU4eYqQs6i7Y+4rW1mDFzJvr27YtaWSeUybLl78+SZ4ojTVIvkVrJKW4eICRQYRxqvlrHI9n1zFLycfkxuLqcMmUKDjjgANTUSD1JnJPHESd3NrD+LHbbpEjrKFv0vLLO6XBc3pTzzjvv4KOPPkrLdOeuS6MoiqIoitJsHJ6rrroK1113XZah0phGi98I86//6le/wk033WS2w/avK/nkXnLJJbjtttuMQbo+5V500UUYPXr0epd77rnn4r777mv2cnkymD2Sxm7R4aFbkzDrNP/NbHkSR1eDyYxR7+XJ5fz58zFhwgSceOKJ6Tj/silg3pza+YknnsAZZ5xhnOqi5VEfYpLS+fCcIDmWWhO6KmlfJJAlnboHH3wQF154YZPpl4+bb77ZnMOEzg71VhRFURRF8eMeuW5w+ATeGUtuSYOtsfAbYv78/XJJYxulheTSCHesb7lcd3EqN4MdQxHM1NEcfZD0JtaY/NbWN3+YH50o24bM0+XN0RX+XpE/zslvLPz6OCiXv6cTdHbqk52SZAxGpRRHsfjqJF0d6u7InwfruLq62qw7WW5Uq6nhiJKjWH0VRVEURfl+0WwcHhopzkijAdVURmIwT8pycv3LxqQ5ynVOwPqUSyO4ucuVvW7Fg2M6nCza7rFvFVpj3uUSzI8yGPxGv4trCpxehDIZ/NvFyxU9soZx7LqdWsH742Xl15nrbtvJYn03JU4mXyN025RZ+PU9RVEURVG+jzQbh4fGijNK+YS6NEOtePx5cp0GU7HG8LqwoeT6Ubn1y5WUZplyzSUrXKXrYvZ4zo7knnZ4HMH8KZdxNMJJY+rMfP1Lh5NJitWZqU0KLyteFPi9DeNMlFHevt7GuGB+lMF6dvF+R6+poEwGV7dOTze6pSiKoiiK4mg2Dg+NJBoqNFyIWzYmYXlSppPrDLXGNpg2pNyg7A0p19Gs5Xr77EyAhCvWubF7JA9+aC/4c3F5Ur4/f647h6uxCcvTxXEZVh85eA6c/Stp5XAzQ7bRWZyn9Fc8Ng1z9+fr5LmRFSeXhJWvsfGXxclXFEVRFEXx02wcHme0EGfE+OPWB+7pOJfrk++TXCevucpNmh8cSiAqzhEnKzC/SCNx5WZadE5LbV+hMpa/5yYQ5usIrvtDY+LyC+Zb37afpBkh4bTufG1PHD0qbb7fqRMd47IrZnWVaE6UzZz8TkWwDH5ZheQ2Nn7561OuoiiKoijNn/VrYSsbnA31BHxjkRuNRrBm5QpMffctzPxijv0NJIZUNebMqsIb705DbZ19uaslmNWRshhWrViGD9+bgI8//RpJ48/RAarFkgXzMH7C+1hTm0BCvCGO+TAoiqIoiqJsTKjDoyh+IilM+2AShp5yKp594RXzSzspvtYVX4tbb7oJp519EWpTSSTNj45aX2hjJiG6zJ71Jc494zT88eFHxM2hWqJYohqPPPxn/GjIWVi6bKX5UVD+Oo+iKIqiKMrGhjo8ipJGDP14Nb755mt8Pns++g0YYE4Q+4ZUCuPfeANbbL0torFy89s70Y3e3UmhLFKLJYsW4qPP5mK/Aw4wGpkJG8QRevXlV9C601Zo3aqVOEB84a1MjtjYdVYURVEU5fuGOjyK4icSx5QpU1DWsSt23GF7MyUz/aDUsiWomjULBxx4IPgJUEq8gmR6xraNmORafPzxx1hT3hn79u2Lci8a8TpMnTod++x7IMrLyxCJcfoCdXYURVEURdn4UIdHadmUZKOLZ5OM4+133kXPPfdDqwqgnD5NMoLJ0z9ErezrLU4Qz5oUP47ne14bNaIvavHa66+jY+++6Ni+LSr4up7EzvtmDpZ9txo7b78jKtuUmVEfdXcURVEURdkYUYenmUETlMHg23CrWWMK6YQbLz4VBeNdSDBfkQT2cc3uK5n0rF0uD06Bbice4Kxs55x9No47ZjB+fOxgnPTj0/D+5ClY9sVknH7KD3Hcj47BT350IoZd/FvUxGP461234tCjfoK3pn0qx5d++oTqZMqS0c2lyaQrBXskHTKrqYuJy18JIus3V16JY485Csf/8CicesIwPPO/l1C7YBLOGXYSjv3B0Tjhxyfgh6f+EoloJZ59/D4MOvoE/O/Vtxro8JSiScM0VhRFURRFKYQ6PBsDnh3ozEGzbEG2YfGGdOlK8wjrPhFKYpdn4CtpCXF8avDsM//FC8+/hOf+9wqelFATT2Le7Nn431PP4n/PPo9nnn0GH376hTgPEUyb9BbefXUcFi5aIscyz9JYH80W9p1NBDEk4nSsEhj36gt48YUX8dyzL+OJp15AbV0SK5YuwdPPPifxL+F/T/4Pk6dMlZRJfDz1fUx47XVUVX0jeTRl6W1LrZ8aUhRFURTl+4Q6PBsrDXvc3uyIZNm3GaUaTz0K4DiHnVXNhVSSv9eSRCpSjfMuOAuXX34xrrz8SuzRZ0e0atsaPzr9LIy4ZCQuu+QK/PKXQ1BWFsE2PbbBRZdehHOHX4Qdtt02M3BUAqGHRDJOmNn0hdLJHMUxHjvOI/qm+PtDlRKZxOlDTsRll12IKy7/FQ4/eF9ERbeBPz4TF1z8W1x26ZW4fPjZ2KRdDJ236IhfjLgU5w+/GHvutgtdJskvq8EURVEURVGaPerwbCT4DWBrdErI9haaBE9S/WZuoxbFZpZr9GdvFQ+Pk67uMpQQiYkbJE5PWbQtfvPrkbjuumsx6obfoU2rdui+TS9cftXVuP7WP+CWG3+HM39yLBKRNth/wBG4+frrMPrWUdhph+5yvHUmSsEVwcK1qGibblEPt5WJKYWMDOdIybZEJJOcZDuGiy+6AjdcfyNuuPH32GrLrui0eVecO+Iy3HTHtbjpht/jop+fgmhFB2y309647cYbcMfNv8MB++zhuU6lkilNYZgm4/QpiqIoiqI0FurwbDRYszhoGq9P8kp2kY1SrPwGss2+IQaxP0/mkpC/SUSjZeIExFBW1koM/AqsXb0MMz/7Ep06dcGWW3axH+qXRzD1/XeRSkax3wED0Lqi3DgPDLEGnT3ZlcQtFyxuLXdPcYQfx98SipVJoVNS6Eg5orEy8YBq8P6kadhss83Ro/uW5rd2OE3bx1OmYHUNsFffA9C2IopycQ6ZnHVYamkURVEURVE2NOrwbFQ4h8dBC7VpCZPQ6EZvOkNK8wLjXMgsSsblmMFmGvFi+Xs6xglIpTBr1pdYsXIttt22B7psVulNSZ3El19VmbfiDj7oILNtksuuiDfxQUkY8fYYW5JgDsGY7NIXh83D6C6rNgeOzzBeCs9V8diWLJqHRctWo1PnLbDD1p1EX3vcpzO/Ql1NAkcffQxiybiJ5SENG+FRFEVRFEXZsDR7h8eaYH5cTGYPXy2iDWm3mpqU2LyUZ6UluG5ig/JzY4rBGKl21duQPMyraxLS2UVEbuZT/KYkZX5rxkqiRK8k6ZBBthr6ip3omZunk2vr28Y0dITBb67TW+FwBbt+UvrOGlx44Vk45YQT8IthF6A6mcDkye9i2Cmn4LQTTsNJJ/0M/3jhVUm6Br+/agR+dNKPceSxp+OD6V/I8dklLo7MMf6jbVPLltevkuaHPks/Pa1LzOOYo+QRsXqnkvyFHQmy/YdRv8apJx6Hk088HYtXLEfVrM/xi1NPwU9/chJO/vFp+NPjz0u6NRh9y0icfMppGHTMT/Dya28bhyjdN4vEr2Maqum1qTuP+NeeSYqiKIqiKI1Ls3d4wqHFZAMNpkjEGsJ0ApoaGmqUZ2SK7Gg0WkBuw8vDIzNHy5rbEDuRUylTrjUZmxbq6erajIrY1WyMtc6V4I7SyDrayBUN0+1rQ8PJ5M411qG3hv8+8W88/dTz+GDKhyK3DJ/NnIEn//U4nv3vv/DEE09g1ryVRr/nn30aTz35NMa/8ALmzZsvxzrHohREJlXztojJgZXqHEauRmNY9+7MHmIz4UAWfSi6rC+++Dye/O9LePedqebHU7+dPRtP/OtfePqJ/+DJp57C51WzJXEtXn/lRfzrP0/K8jV8wVGuRsT2K7vO88h9D7XOKiuKoiiKogTYSB0eQYwkZ3hnnI9Sjc/SsU+kPSOSRpvQ2HL9Rl+uAWgNRcZTau7+Rkb0pZ4MyYT9rX1P7UbF6ZHWh9Y5Bcn/hkwOkA0LbLu6yZ/Zss1S1KsMZw87B+ecMxTdum0u8eU497yLMHz4Bbh8xLn48XFHo6w8hkMGDcZFl1yBCy+8GOdc+Ev02HZrJOVYm3fD4dEumA7tdWr+jg6/IUrXR0nQNWSdpXPO6C31cOIJJ2P4hT9H715bio8VwVm/+CVGXHoJLrjol/jpaSehTUU59ui7Hy669FdG319ccC522bm35NGIlwvR07Wr61+KoiiKoihNwcbr8NBI8hyNhBjidDpS62GEhyMrxDo+TQ1l+ORwVfRmGah5Yn0UgZjXq4BYLGaMZvOWm8c6F8G9rheEbUuDWOo5GjVf0zRcFj0Hz/C3udBx4wtUrMdW+MMfbsCll16KLbfYDFt03Ra33HEHbr3tdtx4029xyik/QjxegWtvlu2bb8LoW27H6Jt+j11790CcxbOZFo8rhg8TleIPg0qGpj6kdLLqq+aSsPlJPuZjI9tfqW9U8k4morj0kl/jt1ddg169tkGsoi1G332P6Hojbrv1OvzynDMRr0vgkl+NxPUSN/rWm3D3LdfioH59TXnWbZTNgzqafmwfVNDxocPDqbMbIXdFURRFUZQsNl6HR0wvvl722WefYcqUKZg1a5YX38QYRyeCL7/8Eh988AG++uorcbhKNnuLgHnm5vtNVRUmT/4An39RZYvS1FCIGKPffv0N3nv3PVPfdDD9rFsx8hxNi1+s3/lzvsWk99/Hp59+jtq6hkryH0eTmlNBW5/KuBVlESyYPw/ffDMHPz75NJRVyD46d2VlmPzBVJRtsjl26NUTlWWcrSyG1pXliMlxsQZZ5zxIjHv5mymVtyZ1vWT+AulXU/DJp59h1Rq+gNZQKMeTYv5TpsTxjC+PYvGihZg58zMMOuY4REXfClEmVh7D1KnTURNrj3323ZfJzMxurWSlTI5ueFn8eGWi85VM4NtvvzXn78wZM9N7FUVRFEVRGpON1+ERI5xceeWV+NGPfoQHHngQ8YAh3iQYuSn87ne/w/HHH4/bb78dtbU1dl+j4RmFQSTqpptuxgkn/ATXX38DVq9e6+1oQswsZincc889OPHEn2DkyJH4bsV33s4M62aohowbeBEPPzwGP/nJT0w7L168xEaWisnLX0KJMCMf0l+ibLtazJ03D8uWrcHhRx9tR1bo6CXKMOGtKei+y55o3yqCslStHMpXKaNy4kSN02Ndl1Kwjoc7yqrJLTt+8szTT4u+J+K88y/A7Nnfmr0NQ3LmhAXepAUcOzEOckR0jtRi6fLFmDt3OQb94IeevvK3Lok3xr+HDj12Q4dNWqESHHWS9ByBkWO9JmlU/vSnP5nz6PLLLzcTNTSFDEVRFEVRvt80G4cn+IpYMa+MMc2CBQvEcJuL5cuWFXVMEHdMKccy7cKFC83T6eXLlzeqXLtF8zTzzyKGtlidcxfMw7dzZmPZ0sVIJerSe0ulpDKLkzd3PuXOwZIlS80rSA7Kd6EYcuVytMW+osdgO6SkoaMlMQvEyfnm29ni7CxAKi4OR6lQXMoz9oV0WU0EX5XjcE5rTJo+A2tFrQF79EIr7o/GUF0NTPrgAxy5T29Umtf5yiReWsQWTUI6tyyoo1/PrHUvPbOw2biCSd7iSC1duUbq+VssWjAX8ZpVIbkXJiKFMw6VKaSU2bzOJyRTZkTK1nQ5Ppn5Nb4TX++IfntafSPlkrwtXhw3Dv336I4OleWSUo6PSjxfoRRdY66dZD3Yjtz2f4cT3J9B0rBMEjhxxDI5b+eJszl/wXwpd6ZfFUUeGfllK4qiKIryfYRWUbMg+NFycDsHMWr42tGDDz6I8ePH44pfXYEyGqUlQjkuOOozmJj2zjvvNHKvuWYkKisqvT3FEyrXW1oY768DGtpR3HjTTXjjjddxww3XoX37dt6+0siRW0hfrxgjf/c7vPnmm7j9ttuw6aab2n0lEqavX7Ld48XKBtcuuewyTJw4EX984AFs0aWzl6YUcuuZ2E3+iYn+Ufzs52djwttvY/PN2hk3iE5DWZv2ePnlV/Dbyy5CmfmOKHi6hJfGLy9f3XKvdXbcfomJleGU007Da6+9jr+PHYvevbbPIyE/2fLkaDo+3sLNeodkBIMGH4PXxr+OnbbfFjHGiX6pWCWefvZZ3HnzKLRrTTeIB3rBbuXFX79O//z9imnFgZLzdcSIEeY8eujPf5Zt+6ph0fhkcOnW/WVRFEVRFEVpNg6Pw2+41Isk69OnD/r3749e2/cyBlNDcDJLMZh23XVXDBgwADvt1Fvs1EaSa/7mwdu50047GX133WVXcfBKl+sM0Sy5Rejbq1cvHHjggdhd6ru8nLOTlUaoXPM3D5KEx2y77bY44IADRO7uaFVZ4e0snjC5xMW7deq33377mQkh3Ef0NMhZ11tvvbVJlw+mzQf3FdqfhkmSKXTt2lX6VT/stfdeaN2mdH1FmF36dCV209snOnbr3h39BhyE8gr+Pk+mL7JP9+zZs7gyh+Cv58J52BEh1jvreI899zQ/AluKVMpxMrhsaJkVRVEURWnZNCuHxxktDM5oykWMGvOaji16Or38S+Y9JpyGG0yZctIwt7/pUjwNlusdZ9Jb0SXhr9Oi5ZpjbFozO1yRRfXTILmedpRp5bJPmKiiKSQ3MzOYTRPc79rIH5cPvxzC7bC4gnC/iKI8vjEoKjeMZELy8taFLLlGl6g3y54bTcnoR9l2xsP8wsN0I66eXJ2lp5z2QhYmUv54xxhMvvlfaXNy/SEYryiKoiiKEkazcXiCRoszoMIRQ5VOhpeGxwXtp/pwsko1lEx6kcOlWy/ld3hKlZfGyMsc74kumgbLlUpN6+ooISv/cSWVwci1x9hQktgsWWFynVHu9rl1hmDfCzu+EM5JKw4nS5aeXNFcylO8TFc+I1fy4PEMhLo4nUw67pd03l7j4HCf05mjWoX09ad1uG0e544NpgnDyXaz/nGEJx9ObqFQqNyKoiiKonx/iYiR0CyshIsuugjXXnstamtrjfFCTNHoTMjCmU9myW1JwxEd/haPeZrsHePS5cMcJ+m5rKiowFVXXYXrr78+S24haCpSLk1KpnempWzJX5+h6S0ZQ4Jyr7jiCtxyyy2oq6sz+x3p9Fn5SOCCecjSllPW5W99Xz345ZaXl5vfm7njjjty5OYjwqfucqzT19rhrp6K05dy2b6c6Y1y2a6MJ3n1NVjtbHqus5b9+3MJk3vvvfea9s2SK+t0EGhsOyPfv59LN9rhjw/CeMpzMP2cOXPMd0ennnpq2qgnRgZXpfgut7Q+XBgdLTaWPxPqYgpDGZwA4Kkn/4tfnH22bV/3+0Webk4Xo4+sy0p6P493urjy1odLt3btWvzlL3/B8OHDjVzGM89icOUqRq5/v8uffZnnb33tpCiKoijK95dm4/AccsghGDp0KOLxuAk0YPLhTJpSC+6MIWdk0fF47LHHMGTIEGMQO6OLIV+1MIfcPX4jK7PXpQ3KpSH+yCOP4Oc//zlqamoCck1SITsfki03PNZPmNyHH34YZ4tBnCs3PB+nQwYn15FdTm6FyeX0w+eeey6qq6uL1pfkys6O8eOXy3W2b365+fMpBSeLgflT36VLl2LGjBmmT7t+xfh8csP1dbHh5XR5+ZerV6/Ge+++gx8cczTWiBPiHMaMXFnKumww0iy9GjN/i4X5ESeXTt0rr7yC4447zvQrR5iujc0zzzxjgqtfRVEURVGUIM3G4eFIy3XXXWcMF2dINRVOZcrg73/ceuutZt3JdQZqY+OXe/HFF2P06NHrXe4FF1xgRjzWt9xzzjkHf/zjH5tUrss3KJcz+fn7VVPL5TTLEyZMwIknnpgl1y0bi6Dc7777Dv/597/w8zPPtD+cyhEjn0ybKpt1LQ3z56gO25Z9i/qyfimzKXQNwtEdXju431/XiqIoiqIojsa3chuIG9VxxhINl8YMxC39xpj7foD7nNzGlO/yJs1BLuuZcF9Lk+sIyg3Ka0y5DE6WW9IB4IiSXw6x26wDWw/rGlz+Lm/qWltTY5wd2ZveR9w6/+YEL79iA3FLwr7MkSzCeJbFr3tjBJd3MPB6Qdy1gzBeURRFURTF0WwcHhorNFRouDis4cSlWy8UCqdz+QUJPo12640VXJ5BNpRc1nEwTWMGl2eQliqXwY/b9u/P7tMuZOeRHYpLZ/PLrBPzg6Oy7fQ2ca4OZD00eHkUG4h/yfxdf3ZxZumtB4P8SYesffwXjKsn8HVJwjL461lRFEVRFMXRbCwEfjhOA4b4Rz9KI396lxeXLpCysrL0NuVy6Z4UNwZOjpPhtsPkun2NgcvL5eu2W7pc4s97Q8llH/L3o9LlMq0Lubj8/Pny/LHr2U6WH3uGNZygTD/OCUnD9UCycG1Kx5XBjSz55YaVTVEURVGU7y/NxuGhcegMFTo/DaN+c84ZZc5AohFMuO3k+o2nxqIYuU3B900uWd9yXb91Mrmkw+G2iX+9NMKPY37+QFgO/7rDxTm45UKp+OU5nK6U6eT65QfJv6c4/Me7Hxt2slkOHelRFEVRFMVPs7EMcoyytGFVrGlWOF0wf0d+uY1Dc5MbZIPLTVuvYrCav249KYu4eMIJs8UvgMxXQBw0SSVRJyt1CYnhARInubnVgjS1vm7bGd9+ipfLdAzrfno2pq6OoG5+54bxYbonQcfTToVupzaXNKiVBeOSiCdSSLhDODLmGpJ5ywFej8i0saSNMD9JS1kuKIqiKIqiBNFHocqGh1Zs1q/s03CNY8nCeXjthRfx6VdfG3PZjM8ka/Dxh9Px3Ctv2Cf5ztgOtXVl30ZrA7cM4z0lapjfjvLcFaMV42R97ZoVePe1lzBh4ntIxazDyvadP+dr077LVq6StDyCwbZzJKtJY3aabUVRFEVRlAKow6NsUGgQGyuW6+afWRGjtg6vvfIifvTDH2HC5I/M6E4kyRGdtbhkxCX45UVXcfBHkD/meJuHwdv0xSgbCLo59ElsE9vLDZs8IXuqvvoSQ0/8Ee7/82OolrgytnJqNf70wN34wSlnYMHS5abd3Y/dRpmbrEe97USEs9HpJUxRFEVRlMKotaBsUMyT/5Q4LamkrHlP+fknsRbffFWFNZWdcOTgo21H5StukTp8+NF09Dv0CET4/QaN3gg9H+P9eEgGEWNqe0HZUKR90ZS0U6rMrMbkT4W4OKu/W46vl8Xxk1NPt6N37Avi3bw6bgJ67LQP2rRpL2nFpZEm5NhQUnpBih1B2jsirpBs2WMURVEURVEKoA6PskGhyWqs4ijdHR+1teLYzECHLbfBZpvEPIMYmPfpx/hu+Xfo02dvJOWAhBjE9usO39Hq4zQb6JRwhCfF1w9laVxaOrh1NZg2dRpqW3XADjtu572uKCERx0cff4Teu+yCdu3b2/S2l9jdXOGwoESxmbWpFUVRFEWpD3V4lA0Kn9ob+PF6XJyXOrFkkzWyXYE333oPe+67N1pzf6JOHJwyvPTa66isqMD23XugRixgGtJRmsupmDF+rXlMM1m7drNBGoVTE6SStbKyVtpZtiIxPP3M8+iy3Y7o0K6cvxCLOMrx5YwZWLm6Gjvt0A1lFVFxcNiidWnHhlvmspUqk0DHR9tZURRFUZTCqLWgbDBovJpvNLhRsxI9t+qEbbttgS227o6tt90FX89ZgPHP/APdt9wS3bt1w1Zdu+HS31yL1WvW4tyfHYuttu6Nie9NkYy819kkQ+v0cNsbMbIWsrKBSCbtdAXRVAqnHDcYPaR9t+zeE9t23R4vv/oGFlR9jL377Izu3buha9etMeDQo8w8FPfefKOk2wW33PMXacMoIhIpLo4JZpwnkjAjfCnv+y9FURRFUZR8qMOjbHCMyRqJiN9Si8WLFmHRosWYu3iJ+Vi9rnoNFkoc45cuXIhlazjBcQRrl83F6kUL7AgRLWrP7s2MBNAa5pqLUTYIMWkeaYcyNkNdnbTtKixYsgQLFi1FXZwNHMdS2V4sbbtk0VwsWVFtmjOxciHWLlwk6+LimKsUG9OO3dk21UuXoiiKoijFoVaDssGg2cpvN/hSGmKtcP1Nt2D0XaNxz913Y49dd8TmW2yOy37ze9x5z70Sdweuu/pypCIV2Gf//njwrjtx0z23Y9ttu4sd7H3hIxma33Yx3dpsCMbrUTYQdF4inFZNvJ5zz70Qd959K267906ccuIP0LoihhPOPB933vUg7rnzDtw/+ia07dgRW227De654w+4+e7bMPCwAZIDxwGlMVMcLWKj2vZlthEzzZ+iKIqiKEp+1OFRNijWVRGjNdYGQ39xPs676EJccM7PsHTJAmy73XYYdsHFOO/883D+eb/E9t23knSVOPDQw3HOhedixLlnYZstOsrhYlZLT7auTZms2i94zLbawxsUtgUnj+Z7aocfe6K02wjTbhVIYNNNO+KEM87BL88/BxdceB4OO7AvkrF26LZdH1x44SW47LyfYb/de3k/tSTOjrQlX1ZM+zicnc/MxqcoiqIoipIfdXiUDUtCDFaxYOORcu/VtDgWzq3C3CUr0XmrrdGlYxvIHolP4qPp00yaAw8+TA4pM/ExHiO92BzKdNwwFrH3mz7eX2XDwFfQUvxRWTZJWZlZxuKr8e77U7FJxy2x047bez5pAp9//CHWrK3FHn33N+1Lf4ZTWCNaYVIwnQvaroqiKIqiFIs6PMoGJRIxExfbV5X4KD9Zi6lT3kE81Q7b9NoJHSvWICpOUHJNDb78erYYzTHssvteiCOGaEKO5G/ziIND9yZtAtPhMU4PxwOUDYlxUCIcnUkiwcklknVYOOsLLFkTxSadu2G7LnRm6K4CX332FeLVa3DEkUeIAxxFlBMSSJ+o8y5T3Cxjm5ohH/4ST0yO1EuYoiiKoiiF2QisBe/ZPW0cFwQbm0I8YSa8lQiJ8fY1NTSj+VVByhheIjfJLZ94M2uY/XWYkmEmVEcWnJLXmPFeHMXZnPmH+qa3mgzq6Ik3ZUryC/QkjU47v5qLNzSkPGIRmx+QrFmJHbt3wfbdt8Gpwy6UCl6DRx+4G1ttsx26d90aPcX5eeql1yW+GgP23xNdt+6BLSTtxPcmm+mqI+afh7fCb4PScSUivpTRy2hj6pqOVUZfG9+Q+rdH82/maC9XqWtWbzrO1LHdajq8/GWRlHNIzigpCUvm8JWhQUVJGp0SkXKcfvwg9OrWCX0GHIX5ixdhyqSJ2GkbadtuXdFd2vPaOx8ScXGcOeQUdJO4LlvvgNvv+ZNxaxwJ8xIkC5I0a3YSA0VRFEVRlPxsJI9Hc40aZ8jGYmL20BPgrxvy9agmhg5AlhHtZKdpBAPMy44Ll7OxuWWDuSe4YSIbQVY9pOV7IcKfvTf62rDOJTAZc3wnhZVrVmHu/OVYuZy/u5LEmlUrsXD+QsybvwBzFy7G6hpJHE1hxfw5WDxvHhYuWix1kjGHXVnTuAorBSkLDX9mlu5Opp4lIkdAQ2AmNqN0dsxfgqkKCXHjCTHOFaBpSdK788FyZcc0nGSCc+pJjqJKbU1c2nItFi5cLk5QHDXVq7Fwzhxp4wVYIO27orpajkhhzdLFWLRwHhZJ21sHRypEskg3p6k4ex6aVUVRFEVRlAJsBA6PZ9Y468azcMxCjEIu+QSZRrj5Nff1gCkGbVEa/nwli7ap2UNsHJemjCXijDrmEDUbXi5i99nxhRSiXv52drKGSCkFMVg9Y9zgrdDRYO1TerrWJa7k8rDypB4j5ZUYdcst+N3IK7Dz1puj3aadcMvouzH6jjtwx5234MyfD0VM8h9x8QjceuedEu7Abbffhm17bONl1EiIkxEVp860AauYujMYfa2mXu03SF+6dqbrSODPavLFLFaq6UNSD/wwnz68SbGeflSTpw315atnkYx2Js6nbXpRCtEYR9+iKJfMfn7ur3Djrddj0IE7SXwKt9wubXvHaNx+x5245NIRaNM2gkFHDcJNt92C22XfLdLGAw87xMvJYopgC6YoiqIoilIU68eiWido4lgDlIaitXXslonlqiThQ/GEZ7g1JZQZEaM4xh8+TCZtKaLGQmUxPOyaLXWp0I3w9HJIdslkHGUirUx2JOJ87SiCBB2upsY4V3x9SCTylScRGZduw+IxZErgYkrE6BAVo7sCvzhnGH74gx+gQtZ33WsfXDD8XAy/8EIMH3E+dtqpN1Ll7fDbq6/GiOHn4+LhF5iw1RZdjFjmki5L1kaJGOs/hbJUwmhJJyARZc0H9SUN0Ncj3TdYoXQ0WA/JhMj1ZpiT7aQ4C9albzpSCZ45op15fY79TOT5HC3n5Fkaoq/UIp9ISLY/POGHGDr0DHRuW4myyva44NKLpW0vlvY8Gz85/mgsWxvD+RdchEsvZvtehOEXnY0+u+1gp55mFjYb74+iKIqiKEpx+K2Z5omzC33B/OXrPmIcfjx9Ot55+x18/tVX5ln5ekGM4Rkff4R333kXMz/7EnW+Tx5YPhrHBvNKki1xseQ4ScbWS4mDJfFiEH/xycd4X+R+MvMLVDPKS9Z0SBcRZ+vrT6fj7Ylv4qNPZmKt6MtS2s7jvlViQUvXl4fxuyCOcNBtnT37G3w9dzHOOPPnJt8IR1GStXjvvXexWZduaNu2nVGasjnyFJPjzVt2PDxIaGRhUmZELYn5sz7De29PxOSpH2Jljd3n19cUt0Ht64rl1aAZJaJTIA6WOB0LZn+Fd9+aiPcnTzU/slpibZZMRBy8RLwOX341Q86jt/HJxzO8tsjATfZBt1YKzCvCRjJKJ7B40Xx8JDJ++OOTbT0yPrEWU99/H4hthu136G2S8uurMqkeBv9YaXrNOMqKoiiKoij1Y2245o5nY9mFM7hkmUjg/F/+Ev37D8Ctt9+B2kTTG4jWGkzhkosvwoAB/fGHUaOwtoYTJ9iSuWD/0qQrEeZvM0j/7ojJhca1GMW/v/LXOOzgg3HFb36DpWurXdImw/hy4mzddv1IHHrwobjoksux8Lsaa3h6H+2ny9gAfVl+GsSmI4pjM2vW11iZqkT/AQPM1xvGIk7U4YPJk7DvgENQXi52sZSHo00xGr2mvvLLLbV+OHLG/B770z2i70H42bCzUTV3kd1JORIoraH6RqS2GLhmRulkjY66GeERh+eJf/wVAw8egNOHDMWMqjkNkFAiIiBeV4sbbxwl51F/XHDB8LzV2ZC+ZvuwaBmJSzdagxUrluLrJTU4bNBRmfykDV998VVsud2e2LRDJ7YAI+2IDgPrhiuCXdgUiqIoiqIoxdCsHB5j2JQCk8sxZWVlYjPZZ9D54H7/krh1yg3bH4oxTKXiovx2x77yVJCQfPPLzaQJYn/LJIIYf8uEipv0+WVn52vJLzc/CfNBewTlIreMHohJX0DnkHz9ch2MM0GiOMJjDNlUOT785DO06tgBvXpuYR0ekbV03jLM/nYe9t5rNyOZ+bD+zV5v3ckoVm4+zPdgQkVFhZSLa3Ks7/iG4GQWkmsQMaxnV14zQUSJOBnMw63XJzfTl7nkpA3ejhKwx3vl9mTbf7KPXhUzlb70xVezsSIewYAD90Yr2Wd+ZwdtMf7tydhr9+3Rvk2Fd1HitNSmSgSvHkqvDkVRFEVRlI1khMcjy96hEReN4Y2JE1FdvRYP3H8fKmP51fEbY46wdX9cXiTN/156WYzjFMY+9gjatDY/jWng0V5ONoTkm1+uhMwu+3SbS4YYf7Qxir/++1+oScTx9JP/Rud2lSZdGNn5WvLLzU8ZX0eSEtzx8F+xtrYWr7z0LLbqVGFdM37fw2YwKUwEM7RreeQ6GGfjk/YQZhhpjfv+PAYLFnyDSomLeLOHdezWC9W1Cfz2V+d7cnJxMoqXGw5foWLfunjkKKnnOkz94B307tnZ7jTH2ResbA7e3wL5ESfTpnO1JQ6Ct2Z6LfdFyvCLSy7HqppazPh0OvbceWtPQnFkZFjcuj8uB3F2ysW5GzPmUSSSCYwf/6r5fVDC2rctUD9BGaYsXumjkAw5wUa0Aief/jOsiSexa+/tzEQGxtGNtcK8Jcvw3/97AB3a23PJ1E5aOPORDZ7zJs46UmYtnUZRFEVRFCUcY2s1B0KfRocaM55hZT6mFyRNNBYzowHOlKwPv4wsefXi0lKKSJNNb83gl21TZpeoGLl8zcl81yDQGIwyyLr5toSjGqIrzT3G0zR0sgtRmo5+xOwUI9jUdbSVLG0986cimaN5/Uv2MY7f09jShOsbNIgz+5KIcso77o9UmN/UiaJOTOQ4yjyPLyly+SJYpcTbOc4KU5zcMDx9o3QuW0uw+tIw51F+faMh+joKyWAe7scyI5wYwQTqxLzLRY44sSKfqrN9c3MvjF92YV1JCpwMgw8OpGPxAP4PFcqoUstCYnIUJx1ImRkFK0WirVMG++5cHZLRCOLiWNONzvRnSuN+KVBaDbvOTZ/L4y0VRVEURVHCydgXG5jQp9ASxddhaNwY29cLKTOLlAQ5hn4Aj6QBFeX7SGY/DbfsQNzSyXLbxL9O3HHZQUwwyjAGsZhylC2RxgWRaAb+McawBGe+8VhSjFyjjYny4rnf2MMxxEVZM3eY5EOHp4xJJGTKlwn2ULtcF315LJ2tlJjfKTOiI/pKvNFMlqbKmdbkki3HL9cFP9w2KUy8NxmARNARIJRq/jOO25xJzJeXPxC3LEZueJCdPFaWSeN8cF00l4VtyXB9gzj5YfA4BuqatSXH0BFKivMRFyHSyihP0BkKltGGYvCXIywP+e+9GsiJC8SpNLPwccRN9tnDTP9mQrtgfjZPHu8nuG1gVNy2Mf0dM/OcOJTl7iMh9ifOdpiqM/qaESEnzyTguv0uz8akYwUvraIoiqIoSj04O66ZIkaQ2DUusLCyMOs0CY3ZFKVBLkaa2D5lssOm5TI7ELcshuDxLnA0iW9aiR1nXmkzn56LgS67TOGYxpXb2IeMNnHFwdmpmJ7GYcoM75hMGSur9rdv+OoRjVIag8zalc0fiFsWQ/B4F1JiBEfECOfH53WiuIm3prkrmi0fV1gmL69iMPmnjWhr0vJTj1iEr0AxP6ZKmLkRbJZ0MqWGPHn+QNyyPoLH+gNlisamjVkeiRW1PH3NsfaPTcsUdAas3sVg3Qu7lqKe0qaUQuPd5M0t5k/pbH+K8eT5Q6mE5cHA/BPSmaPSxvwRX7atnWzd7JI02X3MEVxnyKkHHmeGckQ948OKjuZ7IZFgfVohatrb9ANzuBFm9ngFsOsm3i28FRMURVEURVEK02wcntraWsTjcdTV1aVDba2EulpZl32ynqiNyzIh8RIYH7dLzjKVkOMTNRInS+aVL9h87ZIGGmXmyg0/Nh3qEqiJiwMg63EJibqazPGynayrtuWoS0rIyHPLoFy35P6kZExda+K1qE7UmmVc9tXVJCQ+KesSRO+4xCfq1oqcmky5QkJQrl+eX26+UJcQHaQ8cdGZvzvEdU5jnKpZK3W+1tRFdV3K6Jmspd62PEG5hMf75dkypFAj7ZqkPnJsUsrEuq2Ni56mzasRSdaYeq6ti8hxbP94IPjKW6Rct54bpE6kDNSRulEv9q+MvnFPXylzjW1n5ucPrFfKTCQSWbKYlvpYXZImnxq2p+Rl+pDkx/7N9mU9p0y/95ctNwRlU2cnt6Ym0ze47T/OH+hkiiiTplp0rJO2qGM9SBlqpS+bc419QBqmTsrqZLnAPCjX9a903nJcrfThuro1iMbXyHkh6UW3GqZNeu1dQ9kRSQPpB975wuDa32xLfUt7MO8k29vst+e9a2NFURRFUZR8RMRgaBYWwzXXXIN27doZQ9H/tDj9gDflf5or+72n63bLrvLJb1ayIqBR2Lp16xy5heAoC4MZ2eGayLQvIZmSsVKlHFyjP8mUuVBumzZtjHGapa8suEY9OObBY80PLxKTJ2F8Rg6lFkt1dTXatm2bI7cQmRSU45PNtbR80ZZP7plMtl3eXJaXl2Ps2LE444wzjCGcg0nncs5AGYzhX5OgAJn+UoLcAni5mTWWgWXhdtKUw8ZTX45+8VUwyqOjw9ndli1bhi+//BL77rtvup65NK+PMR85PKu/mGB3mdcGGc+8Jb5Q+/p15XLt2rWYMmUKDjrooLQ8lokjN65+cmE8yyUhkpAttiDPJCfTbpvA8sk/v1xCGW+99RYGDhxo1klaniQxR8s2dWOslSjHmySuTgXZdq/TsUbMGK5s2DphfTAfppc0lC/r++2/Hw477DAe7b2epyiKoiiKko3YIXktoQ2CM6Tccn3gqkDlNg4uT78cOpRu3U9jyi4kl3Db7W8KuZRFo5vOBnEGeFPK9OPkO/0d3G5KZ8Cvv78emlouoYPlpqV39Uwas64VRVEURdm4aTaPRDeUoaJymw7KYPDLdOtNSZhcR1PId/n7jXwnn8tSRtOKxeXnAnHy3TaXTMfQFDhZft24dPo3tlwnzx+czq4MTaWroiiKoigbL81uhEdpubiuRqPUjQKsD5pSrjOy3dIf5ycsrjEJyqeefJXNbTeFbOZL/Hn7R3dIU+pMgrqtL7mKoiiKomw8NJsRHgcNFme0KBsvwXZ033bQEHXflzRFO69vuS4vv4HNdVcOOgDEbTcVTj51pBzn1FG+v2yNiT9f1rPfmXR6ry/89duU9awoiqIoysZHsxnhYTGayjBrjmwofZtablj+rosx3u33xzUGG0ouCcrmtosLym5MuQ5/vmHrjS03X36MJ00hMx/OoWPwO1yKoiiKoigOfaVNURRFURRFUZQWiz4OVRRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eBRFURRFURRFabGow6MoiqIoiqIoSotFHR5FURRFURRFUVos6vAoiqIoiqIoitJiUYdHURRFURRFUZQWizo8iqIoiqIoiqK0WNThURRFURRFURSlxaIOj6IoiqIoiqIoLRZ1eJQWxhI8NXw0pi98ChffPd2LUzY2pt99MZ5a6G0ImW2vfU1sAaaOxj5sf7dUWgTBfqEoiqIoxVC/w0ODYfhTYmY4pmM0tyX+4qczsesFGrH7+IwdZ9RKWUZP9eIayPS79wnNY8nTFzehnlKXfn3WEZZ1XeuhdBqxP5j23Qf7FFkn4fp2wvHDgIffGYCz8HCOcZSvnXPx9PK2SoNGeamGWZGG/Dqz4drLUKojyuuPyBj26ERcewxlDca1b43FMMotpn32HIEXezxchK7rq/4bg0zfZH8O6hZ6zQqt94b00/wk4wnUrV6L2pWrzZLbObAcoe0Wfi2kLmx/FzL9wIWw8pd47rKPNVenuIiyFbp3rf/7gaIoSvOkHodHbohjxqL/oAFiRjr64IxB4/AYzsDAVx5L36BCb7IexRuZJdLleGvUdj0DPcdk3ywLlSeXJaj6YggG7ult1kcBY7FoucZYfBg9nxshNdqUFL75s238BkW4AeGRYzQx7yoMDOkPaUJv2DS0Mn0iXYZjxmHgc5MwaZLUiakff7mK60Omr2EE7jquE/oMvwvHd/F2pOmPnl291UIsrEJVr56233tGtw31G2XWKA8aZhnDNLfOGXyGvAulGG1hNJP2yqqfY67FxEeHZaUrqKc4LJMmTcKYof1xjZH1Iq7pNwRjJG7S3ceHtI8Xzh4LeHIGj5qIiaMGr1P9hx/jhWAdh6UJDa4v1XdMfkesz/Ax6DlqVL1Oy5J3xmXVe33XqNKun5ZETS1SyaRZ55LbOcytArLuJ4XpdNxdpv1dyPQDt+0lLALqVP81xPZ1W0/Z18Lc8zxPSPcb5pWv7djmwX0h/cDXjzMhf38IUvVNgTYscB9TFEVpcaQKMeXOVN++ffOE4aknF3jphMVPDU8Nf2qxt5XNtLv6pu6c4m2sCwueTA3ve2dqmrdZiGl3ufJNS91Zb/klzUVPpsJKH6ZXIV1lb+rJiwqXkcf3LUaPvPUffizzDavn0PKaupS87mJOfv29+jLxAXhMVnxYvVF/f90GtwllZOJC+0dAVliacH2Zd3b98NjwesyEnPqRumecaSu/jmyTPH0lQ5jO9VF/vymZZtZe4fIDuH5pAmVSdnZbuZBuM7ZJsL/m6F4fpda/V66SZGRg/eS/hmQIPXeD9Rjok7nnRbZumf1hbW0p7fppqVmxKicECT9nCeX4659lC5MbHrLzDNRPmmwZ5tx2ebAdvb6XziusXwUxx+TrN0GdAnjXmIIUUYbwc83qlz//Uvu7oijKxk0Bh8e74YRdbEMu8oUurvkuyIYQwyRzsw3g3ZDMDaqg4VTixdxXhqybYDD40uTVh+S9kRWo0zQ+AyNfOt4E0waHL30wpOsoeOPltq+OqX+gPkPbLEevPPUcvEkHtwP9J1RWoF9k0tSvb/6+yPLm6VtBqOtdDDna5e+faYqXk93fSuizxdAs2ivD4qekPGkj1l8/tk0z6XPrL1PnIToEy0uy+nSw/2doUP1TXojBXzQ8vuD1yxE4T9NIfIHzNafuA/Vj9zOPOyWE5Z+nn9QDHZyvrr0s9cnnq1Lzxl6WmjY+1+Gp35FiyF+3wXPPv13o2u3qI/TaYNqT6QI6B/p0Lvn7lSW3nbIpop7D+rZHIX2DIXguMt/wa6SiKErLJK/Dw5tivpuyudAGLsKhNxKPXOPHfyMIGjcFbgJ+w8vdpELLWN+NJkCBi3+YXrn6BAmRb8qe/0ZeKuHlChoD4Td6xmcdG3ZTDbnZM4+g3kGZlsJtynxyDTBvwxGQH5Ymv775DBGWI9sQYAhte9O/wtsrpx5M2+bmmx1CysPj0v0kX5kbTrNqr2B9uvPXhECZXH1K3Uyj7HS6YPDKmJWXi/fVZ1j/JiXXfwn9Jx9Gt/B+FYT1Hp53yPUlDfUItiXL6eJ8bZu3jxfKPz/W4bk39ZXP8ckmu19lE1b/jMut75wQbNtAX6yvnU3/Dmt7Oe7OAm0beh74yZIbTvAcZZ6hOvpCsE/kK0f+/lOoHRRFUVomod/w8F3lYY8OwRj3jnwWSzDhlYkYcvC6fHnifQdk3qfmR+Y9Me4d9y7xHFShJ7p5W3nx3u2fNKwKg/cJvJPu//5ig9BNNBiHCf736udWYeLQs0K+KWkYnQ4YCMya420RfofUEz19+Xfr0d9b89K/MkFSTcc4aduzjsvUzpJvqtC/R6DGu0heX1R576Jb5sxCzvcv3XoAVXO9jTS2Ta/9p3vTXLbvdt8qhfefsWf73lEv6tsV6pFP3z4YOHQsxvne17fv3/M7jcw3AHz/f8hDkzASo3Lfi+/aE/37DcSAYtqry/G4y/umwAZ+Z5L9rYH5zsVLnibrewbpM/2yy7yuNJv24vc9Y3rixUnum6rpGM1vE/pdI3Gsm+xvrZa8I/XC+htUhYcxEEPkn/lm56EhwNAxpj5fHNlf2s5Xp178pEljJDVhfcp1QM7B6ePHhl+vSqh/13/GDXrRk5MJZ83KfB+UxnzTFPKNxjHXoudDYd+WBZg6GoNfGYiRvvO0KHjt8/XbJU+P8so8ErhOrpN3P4ZxvQbaetvzDOmn3rdm/u+QGnT9nI4ZfU/HgkdfwgKz/BzfHXM6Ppzs7W4QfTAiUNfBb3hMGB5oW7ar/3rGa5m3mnttmI7HRk2U/uPViR/JR3LKg1x/vrgGZxT73WceOm3TE2PHZ+q+z/CAbr4+7wK/TyyWntuEpF04QfSq8r5XK/57IEVRlI2ZXIfHu9G+GGagkamP4VqUcqGnIe6t+qABXjXGM5T2HIieo+wH1EuefhhVJXzUah2fFzHwlcF5P0ht7KlM/Y4Eyc2/EwYMChiW3mxRjXaDCd7U5SY2rpCj2GWAmI5VmGMMIn86GrTAwAMCNc503qpBDLiHv8h1AII37DRsl6AhQvL0Hzoe6Zt6qKMdgOULM1I82EbpD3bTfdr3kbPRx5aDH0a/OFKM66DRuh6c5onOaZV6GQdfmdeVZtNeS/DUdVU4K2uCAU7WIY7JW9IfTRo/YoC+0hMDe8nqAZx8gqaqN5lAYCICPzkOu3cOjvvn6HQ7h1FM/dPZGSVucT5j004cEJgAgk7wcz3xsJTVXJeMAzQMkHobUd+1k2mpa7GwTj2HZfo/r82aFIB925aZTqw4Z1KXPbOcP+tAFLo2FXf97IOdJv8WbfqfiR6T70KH/kdii8l/x+59vd0NIGyiiNxZ2mzwX/vp4IYa+h59Dh6Sbufpd0ubDLUuchA+CMqbTzFOYZajJbBdgxOCyL1vSODB0jpBGfU8gGAfGdvrLNOfed0LOvns7zqZgaIoLY1ch4eGTz4DxtyIq3DN1bn7MzfWADTE3wqZAc0Y4G4UhE/y6GDxaVvPrNGH4rA381BDQsr8sNzmSxlZ8d9og4YVMc6aMxqZf4hhSYLGk51xSLSWfNfthsIn5FVZTgpnYSo8+5H31D7nJkxHKaT84lBN9N3Q8+bPG/aj40INpRxM/xmLIcOKcGjqwZQnYOT6RzQy/VEM7jFIj1baEQ4+aRetff2YjkAWNFjDHADPQQyOnNgRANdv7CxtuSMpAeRcGwNvBqazxekUAz3UwDJOAvMt3nFvPu3lGy0y+UlbBEZ0/PCBB0RedmuEj/A4cgxTz6E3o5qPivGbr/xF1n+6L7H8ro2zjEqODnmrfszIn3Q+joZ5M9oV5ewcIw4i9TWj1wUekLjysE7ZV6WfDHvU2xcG9+dx/uy1KeQhl8go6vo5+Y/4oO/1WDPxEczqezG+m8iRnt9hxnxvfxj++hRnMOjicbSD7dx/ZO6omg2ZGfsy9WpHsAvOuCntbtqT9SE9YMTBXnyp1Ouo9BHHPTPST0cj29n0yHL8AzO10fEtxSFin/Peehgs99KcemB7Sh940bu28boXvE/xOmrvLb4Z63JmblQURdm4qP93eBw0uop9HSMNn+5eC4w8I/dGagwhf1680PMJaJ6RpVIIvo5Vn4HXVcyr9JNeexNM31TFyOKUtlnGJp21L+xvvJibWIhBlWNAp7GvafA1mOJe3fKRNhBYT9l199io4ChNuGFujLO0o2nbJ7f81qG65lSvJUTuqLyOaB+cETY6EiTdf4ow+vzwONF52KP+6aTDHOPcV/ryMfZsjjBk9+P6ngqnMSMeAQdRyjh4ln1imjHEfK99FWjnzCss4kRLG+a2F8tGJ0HSPCdp0q9+FqDZtZeFTljPes5vGt4ZeTS4aAiHj/CMPduek1mv7vmevPPczDyukD4dYrQVU/+O6f9003CLIT5oHAa7/AqOrvJ8Z3+Y6HttNxzjNBtnx6sjPnx6SPy/oKNLHd+6FoN904J347E8Z5/jaHfYNNXeOR3ysCqHUq+fpO8vsfdzZyI29LfYOz3S8wfstKW339AJPXtJ2dPXnkx92nPGa+dAO9nrr3cuZQU+WPASedBhHhsc+Z06DmNzRmNEPh+EhD7UsMyZ5fUeOZ9GB8+XrAd2+elzsPeqqOdo5DqbfmeZ/Z3XJlcnEujks609neufVltgvzHH555r5hwMXO/To5wG36vCfPXNe4VzjOhabx9QFEVpznjf8uTFftDJjyVL+cgx83Fv/R/0ZtIW/ACUmA9+iylH4MPUnI+ag/J8H+kGPnBOf/gZlG22JZ+wj6GLJO/Hso7Qj7Fz8X+cmv4ovdAHs67sEsI+gM2uG9s+hduG9Z3nQ+y0Dnn2C7kf6oqeLGOeus3o6/v4toC+mT4sISdP78Poej4uTqcLa4NAn8kqFzH1Hd52Fpt33nOliDrM0PzaKw3zrreeLZnJFVjW3Lpjm1odZb/J07WP1d20Ocvj+kXB8tVT/x7ZH4d75TJtW199EysjPJ1X9nzlM23i1YeR528bp3eh/pZPNvtKWDt7unlbmT6RHYL51Yy/N/X2te+maj5/IvUelwWnpQ7KzshkPbu2yJzrYQTOM3+5fe2d3W4hUL+wuk/r7Zfho8i2t+dLWD0HCWkPKYNff3/dONJ9vV4C7WrIjsvO315LTB0Ulb+iKErzJb/D4y72RRooxFx4zQ2ifuOB2BtBcWkNOTfy/ITPRpWP7BunK1ep+jeIfDfbYmGd+Mvo3YRZ9vpuxH7SbRfQt7DB4SOoR33Ggg/Wd05ZfQZLFo2ir+9GXs9x/j5dbDqGYvu0O66UtipEs2uvAMF68gd/nvkdnkzbMT3zq7csnm5h9VJa/bMswXIXdz0ymL6aa9AWlQfT5VyLbHnCym70MnUQYkSnyb+vtOunxf32jj/kIHqk28F37uZrg0L9xYZM3QX7Zfo6Xt81nHVbRN8NJ9An6pNVL8E+Vlz/yrpn5TveX/c+suq4wfWgKIrSvInwjzfYoyiKoigNom71WqSSSW8LiESjKG/b2ttSFEVRlA1H8d/wKIqiKEoeYpUVxskhXHJbURRFUZoDOsKjKIqiKIqiKEqLRUd4FEVRFEVRFEVpsajDoyiKoiiKoihKi0UdHkVRFEVRFEVRWizq8CiKoiiKoiiK0mJRh0dRFEVRFEVRlBaLOjyKoiiKoiiKorRY1OH5njL97ovx1EJvQ8hsL8FTw0djuoktwNTR2OduSeWWSrNlydMX4+Knl3hbiqIo3yMWPoWL/fco/7bcv+q/NvKeyPujW3rRyrrj1X/QHmk40zF6nyLsF6UR2XjOiyIdniIVKuri0QBoVO+zT+Ew/CkpZTaNdxKVgpxwLEtj1AUvzEa/Ek7g4MW9Pry6HfboRFx7DGUNxrVvjcWwPHWaw54j8GKPh4u8aWwcF6Lpd3t9qmAo0LdYp/W0AWWMnupt+MhxToJ9X/LNW75S2j0fJfSfXEeq/jZm2Ys6L1iOYvpfKEVcr/Lm752/3tb6ISMzrH6y65k39JC2DwuN0R+aFWzX7POGdTN66oa5tgTbyt5vpCx3B/pPob6Wc223Ooa2py/kXDtKve43Eo1Z/+66VtT1waO0e7xXt8dci4mPDrN1efZYTBw1OLxOc+iE4+8+C1XHFKFrY9z/1wfsN16fKhjy9i3WaTFtkOe6uucZGPjKY8CpAzHun28G+r7kOzVf+Upp9/wU339CztX62tjUbXHnBft+/f2vuTIHVRiInu9cnNVGWfes9X5PDSf0h0d5ERs8aqK3lZ/+I1/EXcd18rbscaMwMiuuUaDRN34gJg3vY7fZkf7ZE3e5bVOhVTjj7uPlkpSBnbnq1LtwfBcvQmDHGnfwJIzY04vwYPywR72NIEPHZGT7yVOOgYPGYdw2I9FzzGPoefcIZB0Z1MXAi8ZgVA2z5cqUpT+uec4rP2XxQs1ojyEP2fT1tle/a/BiPXWT2WZZAuVmmeXGUB+uPxSsSz++chVf/7zwDEP9pSFDMGYS9ajvGJfOEtZvghRME9rGfkLq2CPfOcT4x7a5K7vf5vS/cPL1D9deDek/JLesIXqF9Nu8+OUUqRupt/weWdcr5n8dMDJHL/aVcRjo6w/Z5G+7huO/flH+w+jpznsht56zyXdNCyP3PPNdY9Y3YX0j37WWmOsQss7VdN0Nq8Kob87w6qhAG+Zt99JhXT7cI9Cn2GcPHoeL02URpNxZ22nCysn+NQq4OtMmwWsN+0NR14J8uobVe5r8/SG8HGdJgwTr35Gri4HtOKanPdf9ZfG1fU4/TV8bWGeFr//uvpgmWDf+7Zy2YZn50M/bzIt3zyhYl9mky1VC/Rd7bSPFXs9zroP1XWcLpsnTxjl456m/LzLffNfgIu25XPL1j2JtgZD+Y+BxgXM15LwuaMcE8MspTrcS+kP6fCl0vwrRiZTQPw2+esjWw+UvzqzXnii2/IXuA+sCHZ76WZx68qLhqScXeJsBpt3VN9W3b55w0ZNy9Doy5c7wvP0hLYdlLbR/WupO2b5zitkogE3X965p3nYIC55MDc/aL8fk6Busu7C6pKxMHOszp3wBWaFpQuUHYD7peqFMT8+QMPwpLyfWf7AecnSvD+p9p5SwWIqo/wKwftLlL8Dip4bnpJt2F+slTz+SwHq3abwDgoTVVxb52ymsPITxrr25nluu/OXJl2cuRfQfoeD57gvB/ll8OYSS+5efsHMsAPMP1ZX9rkA/lbYtWoeiCdQ7+49v29/2YYRfCwK4897UqV8e9XXxuWS1dcG+kf98Casvm69to9y+HdZ2+fM3Iav8Bdowb7uXTinXmPD2CStnPXp6IZ1fnntjVn0WoW/+es8QvOaF6hW89oVcC40sF5enPbJk5UmTv14zZPVfkWn19MWlg2uH8GtHwet9GCVeJ4qp/7yYc7uYe2tIf+OxbIs8/cj0HZcmlCKutQb/NScD9c6tJ39aljmkXHnLE3ZOhVNM/7F1GyI/GHJ0K74cpOT+5adg+9dTjiL7aaH+mSl79rXrzilOtixD2j4N+16h/Y1Iozg8jqI6UEMIXjRzTsCwCi1UyWyIAvqYk7+IDpjTWVhPIZ0rWP4wfXydMtSACegclmbxU1KedIfzl5/6+tPntmd2pw3oECwvYXnS9cv8w08qe6K4MoWnyaHY+s8Hjy/qBArvB8VcfAqmCasvP762zK6fQPDl4T+3ws6zrPKY/hSSnz+ElK/4/mNhOYrq/wabR045XAiWp746LEih61U95fCHnD5USL91QcoUkOU/v0OvBz6cUZc/TaCfZ527lvDrifTNQB8M3hxNGlNf+eqbdSb7A/n4t3Nkh5Sv0DWBx2eXi/rmaaewvH3knNe+czWIq/fCde/Ps1Dfc2ly+26wTKy/sLbKV4ZgfWeT2z7hhPR9aZNcYylY/jB9fO2Vpz1yrmc5aaaZfNP1F+xf/vTBa4m/TXN0yC0v8fdR5p+rN8lu3/A0QYqt/3zY4wv1P0doPyjQv9MUTBNeXw4j01cn/mDLHHauSly6/fzrHoHy+M/D8BBWvhL6jyGknKH931JI79zyFK7DwoTVn5+Q+suCsgsdX1//pHyvLX3tYs8XV7YCZeAxbp93POuumP7cEMK/4eGQlu9dPPtdh/vGw4XcdxPnzAJ6duUah7L8aW1Yp3cU3Tu3DBxu82+HDVEurEJVr56BoVI7dPjUwj4Y8RzfGQ1qwOE/yc+8vpXRN997mku+qULPbfwSOqFnL5EbfCd0zzNwzRcPZ94VNdvj0vW35J1xmDh0YMiQYwlMHY3Bo6ow8OpJmDRJwkM9fe3FV2R8w7QLJ2Ac2/O6pzD9afveZeg3PP42zqpvie/SEz3fqsIc7ps6DmPDyi/9aNQrA/EiyzNpDIZ40fkprf5DYd89uwrXXB0cJs9lydMPo2rkyPzDyHz1Iq2zF3LeRQ3p6yx/Vn15wb0HPbcK6NHNrHY67i7bXl54cWR/88qB2S4wpDv27Oy8c4bROaTtyzcrPHcN+nvJ0pTSf0qG7Sp13Y/D4b5yFCqP0N+ro3op6Xol576TGVpH7Kd8/UHWg69aTH0M4wadsW7naZH0Ge7qezrGPdrfu67mh69HDBzv1zPD9LuHZfdz6X8TA9fGPqdeg6rxgSMPGJnTByfOMmd8mkz/zfc6Br97kDp91Lve8ZowqifGpPNdgqovAvp1OR5n9RqHCe56ac7psaJjmAxbPwMPqO9szw9fE3H3pj4HS7/33xd852oY9lx9ET3H2H6We4+jfnKtNOX2+l5YX8uqv+y+m7k22xD2Skjm3uuD9SbXHLbRGPjuPw5zffNe30pfr3L7j4Xv6fdEVk107QkE+oNp72H+OrTb497JvM+/ru1lryfDcG2vs7x6fFHup5nr7eBZEu87d6ePt9fj0VO9a7XffpB+5b7hydxnsuub8d169EfVN9y/BBNeQWj5eZ5BzkOWidfxeimp/sOZfrcc32tMEdfm6Xgs67wL4t17PZ1dCPZnnivZacKutQz225j09YHXW76mZNrLbleN4b20D84YWYWHC93j37oWg/15h7xuxetfOu9AGDPUS5SmtP5TMryXSh/J0tcXcstD3DWiNGyfC3tdzYN2sLcaTicMGFSFcWG2eRH909hQcl8362LHZq6V9d+zyPR/jhObw6trXvflOjXhAL4m2zTf/IQ7PCL4rqxGkg6RY6wEK7nQhd2GBhtMe46weQRPGt4wnNES6KCs/J4H5+0GVkffyW9P5MFi0HjGpi+cNWtwqNEddpPp1gOomuttpAm5CaTfqeQFdCKGBMqaZdDW98EXb2x8Jzp905QLO43utEGXbSgseUdOAbandPSHMTBz031IXBKvfnnBHuI/kdL17hyXbujZzzp3vKEEy2+gsTBogNcuTD82/MQSSq5/Y+QGbw6it1wMe4YaRgHMRWkgRvrevw0l2N+86Awhfd1Xj1mhgANTKsELfPhFtEhK7D+lwpvyuEEjxYgNuzFKyPu+cH7YX9J9okHXqwL0Cxh2HtPHS39+JWgcNTG8YfUbiAFF1D+dpEl8Xzrrg14amENwlq+f80FNjjPJBxhfVGVdZzp1ybqihl6niqMPBg611wpzUxzpdxrFkH4r92afuY7acxriWITeP/iwpcj6yUen43w32ODDqJyHWmHwem77nXV8SjNas3F58ZzO7sP2mmzXs+tC2viLwnXQZ7j/HPYMf/M9VCZ/E57riYfDyh/2ADGkzxhyHvCNyHznENZeAYO2vgejvJ7we1d3PV3y9ChjlKWviVnXWdZNf7EbrpG2EZsg/UDJf42wdkTmXpCpd+e4dNqmp3X2+bBQ7pm5dU37ZwgGeu1i0r8yIbduDKXXP78NCV5zeA0c9oVco+u9r1gDv6BhbMjtb0GCD+jCr7UMQZvDbwwL7DveaqcDBsp1NV9dCcEHU3kekBVLaf2nRMzDGWnXq0WntJOQHYr9xicD+0vYNYV9+xqc0VC72oN9dWzWw65i+6c40WJDnTXIt45R2Ofu0XLPyb2m5yB19XDgumWvU2JTrYvDWYDGm5aaF4Je6zhKkQee7Kaz+J/MmDAMY30Xy8yF0j7NcBef+uCFgx8Fs0H9H6A5+gwfg56jHvMa2SOksUhu5/Gg0xZ2Ik19DNcit9NmGbQFG18uZtdV4SyXxnjlfCIvF3E3ApMFO6bUTS9ZPYA3Il52vBEd38hE8Cli7tN2PhkAxv1ztNRD/pMu/USYT8flMmWfkmXToPqnkWtOPq/djQNkn7DV61ibi5LouhFT7whP8KmYP2Q5GCX2H1PPNh/2Efd01AY+DXKjgxLoqEt+mQ+7w26MEkq+geV/ytpQeI0paGjxfJc6tiNg0h9zbtD5bkoNgG3gjQZO/6cY++mHBsVAB9xnbBiHye/A5am7ep4EWqc1j9NRL5mHYXNmTcx2IPKMDjOd6ZvGUAu/Lpj9Y8ZiyLASbo4c3fJWM4hD1utaPGba3z7xtE+cS7uP8FjjrDwEDGvorES+8ytsZCd93vvyN09Zi+4j7Kf8kJj9OMQAluvqyJAn7uyHuQ8Qu4nR6huJS8N6CHtIkqe9AgZtwT7mXU9sGvYP+0Sexnn4veVhOX/E+JSS8iHjAFmz1yz/yETwDZEQY23PgWaUcjTrIW9/s0691bOKd7vQ+29D6p8PM/jgz7U7r1d8YBc2mUwQMwrEp/QbED4cznu99r8tEkYRIzzB+6E/ZN0bS+w/advT9BHfvY3BNzrIYGYr5L3UtWvYQ08JJT+czPsGTchDiCA+x9LA60twxj327fSDi1L6p3VM7L3FrvcRh/jFHlXh5Q0S8qZBU5PX4bFP3F3j2otD7shFhiwPXjpVYz4BtU8uJRQa4ZHgLpT2VSX3FNHzVr0Q5l3zqYW5ofpuNtmjKhyd8FY9jL5hNxnvwliU4UN5ctKUdMPOgTcXr2Oa/OiVh91sLOYGIPKyToI8IzyOnKecngFlnsw8Ojb/DUCcvDHwHFQp10BxkMKeljak/g3myf4YgBe7Y+QkFWO6XoOMMo7hRUn0HVYlF9JGMlLXgcxF1Ro1xVBwhMfUS/b+nJB2vkvrP0Xl7QJvxv6nu3KbapQRnpCnrKVer4L0Ge6ezg8LNR6NwZceOaShF7hB8+bjLvJ0WEw5Spw61fV/tgHbR/Ip/WlggJwbXp4n1HlvPtYoyJqNrETME1TvYRhfDfITPjrsXnOzDkS+c9oYcqGv89DpC7lZC5TXP6R9+xw8JP2gyl2Psu8jJcCHW/kMUf81LsfQFnznV6ERnkz+1ilzI3hZ50HoeZWpG/91x+/s86FdNnaUMNfx8x56pV9XK4xpr5CHeyXhu544Jzz/E3n71PmMA7xNj9ARHm+fGXGUM8b/eM/eszhKKSZv3od70levHohx5vrGcg2UXP6fvfMAkKsq2/8zM1uyye6md9IghB5AemjSO4gIWKgBCyCIguKniEhTQKV8tu+v4Cein6IivRtaQkIKKZQkJGTTe99sm3b/73POPTN37tyZndnMbDbh/JKz99xz7z3veU8v954JWinuSPxr2A96+eQJqvM/XlrW/BOhGspg2TWrj522Mp0B849vEJnRWc9dXhXtrPCk+oc5jac9Kyr/FOJ32tx4kKctJSVa4cn5Bg0JWmHNgJM56UmJ4IkLITXg7Hj+NHCyqqA3AYaMKnKic/sJHvBIQ6veY0wlJisHzyg6a/aKs4bpSpevfuSbfWVE5p1N9eJtINpZ4VHhkvv53YhenmZjrb8/MLo8epnb6crSgZlBd5p5n6pYzEhYdRI8lRdleBqZTAp4J5WwUyT6jCpkRcKL25kaH/Bev3qNr51lazbmaXmMH8/MhW+F5/GrdYct49U9T0XFwpNuUGVg6Z85ENIVxolouMPjTwAFx38GLKDMn5PabXhVZ0ANdtw4YseEs7H5Oqb+/OY6bxfed9/ZqWXj5eZPDjr1rFH+znLeFR6WGZW/mb7ugC7lJjAPBeT/QvJPBqpsegaMOfxNU8QKT+D3ARpVaXsH2SK3uPoqCN255vPZHfugVwfMbK7GO+Ez5y33VYAXJM8X0hlkmWI95g7aObM2lHmV36K98DJOfO2O4gZOGXhn4TkDGTRDLWWXsr7oT3nmH90p6MhgxzSYaiba7VRkrIAz7wd0IPUA6arcg24VLsnz8mz7r/N4oDzf630pWBd4/GJdUdArr+3i/a6T8Z+u43Q+detes6Ln6WTkXeERwzY04x1+fzlguXLrr6z2VsruI6l6h5NG6fqGHSzvxJT+Bix44MfXAbNW37PwpFcBnfQ0+jnV7mcNxnWZzJ8+0jZ45TF+UqvSelIktcLD8sc08M2ap9o+xpenjt3wzIPZZdIzWL1NytzjgRMILkXEvxf1ShknJtudVNUTvemJCtZvrEtE94B2WpOd30pB4MRBO9/GZdDOCk+qPynpawZ06T6mzkPZ/c1C8k8m9DM9YMzlr4eCV3hyfPtNmE8C6kjFgGMgQ+yAFdZMUt8l5vQrYEK5g/kzs05vZyDLybjHAr4t9CLh6Pjv8QXgbl6QiX9XE/9ODtxNwbszhO9+744mwXRsVwq9G0dartkJI7csvxzPeZaO/nC7O0woXb3ueteK/Prx2Rz6UW7gTh1psncdccPhC28W9DvvjhxpMncO8qSlS3qnDLPDBu/T4aG7inuGh+Hi9bzh08+2t2tNYfGfCy0j+D437LnCp9IknR5ZOzUF4L0nO72CjNdPCY9JJ18+ZLyqeFJ6Z+b1lG5Z4c2MW288pu3espAjDxeVf0SnoHt9YfOSM14D844OY2ae0W5Z6eiLQ32fJ0/74lLDPJEjPD5SaeIhw83vv4oDf5rnQD3rvc/Nq17/AsOfxpvegajn6Wd2GVTpKO7Zz7tx7T6XMjnzR/b9flkGIzNr10YTzpwyTNy0X5dkkEqP3HGYwtxbQDmgHoWEI112GUf+tNZhyvLLjYu0m6t7vnD5y0Hq3C9XoP8ev0x+VmnjlUE/2okLPptVJhWePBF4XfDkTWN0ONorO9rvvPneQBmu/KCyrOLW1dGkldKJ4VHujHsdHsYPr+cLn362nbxWaPznQMnIcZ+Wnyt8bpqY9PDETU689wSkV6BJ+ZnO48xLJu5NPAaTTo/A8Hrj1huPXru3LATm4SLzj+iUfa8vbF74TJC7EJh3GEZ/nlFu7ZSDnGHLROWrQtojgzcuhXz5k9eUfBWWIBne9PShdGwn/N603E5ybkutCw0jSZvsSsLARPcryUyefjbQD1+E5ibtV65I0YmZI4xuhggMQxZB4c7MhCbh28WfSG7CFtLoBlYG1KOARPenm9d4/UwXOursDZNbiN37U5nZiz8srm5B8WLCkyvtMmk//vMSVOBU2Arwg/e5+TF3Y5aOm6LClQX9ST9v8q8yWWXCxIkOU1CFQ7Qf4qevXHnza0be9d1naD//6PDkT08dT/78kBWvKr2038FlKjs/5JLrD3ewfz488v0m/XxmWqXxhi1XfimW3HGr9MvZgBZavtKk4isgD3Q+6bgM1iOzTioMb/oUUFZTeaHwcs14LyifSd2Sus+X5/z6tJsu7YQzoy5pR5egsp6pD+OwkPhg+njLQDq92o0f6hNYnxVSprxp7DNePynDLTvUOSNMpl1W94t/7YbF6BYUL254cqWdj/bjPz8qrTPqBB229v3Q96m854mbLEzcFBkuL/66KZU/c8RRKk4YJjevZ5V5151hyvTfm18z864/HJr2848KT3vpGdTHCIjXlO45ylRWfigwH2XpUfBz+Sk0f/I+xm1QHKf8yBsmX/gD8mNw+hVPiH/cxR6LxWKxWCwWi8Vi2aUo3S5tFovFYrFYLBaLxdLFsAMei8VisVgsFovFsstiBzwWi8VisVgsFotll8UOeCwWi8VisVgsFssuix3wWCwWi8VisVgsll0WO+CxWCwWi8VisVgsuyx2wGOxWCwWi8VisVh2WeyAx2KxWCyWHKx8fz4aXXup2fD+HKxMuCflItGI+R+tRNQ9LTWdooPFYrFsJ3bAYymADXj6hkNx6A0P4kEeH54DrH0a3zr0UDw4Sy4r+7fw9Fp9t8Wy08C8e8PTksM7nw3PfEvKj5SthwPkz3pQlzPLDmXlM3fiqcQo1Jnz1x7ErT+TevCH4zH+Z0+jodm9kJco5v/1Vtx6/29w33e+gm/9YRo2uAOEvnsAT4k/5RswRDHn9w9iXq8hqHJd0jRiwg87UG8n5uPRLzwIkzu3V4c5DzMMc6RtKVE5tGVnpyZffmCd+a1ndkRtbdkV6BIDHmbiQ03nOQdzHpaOttzjNfkzvumkewpNAR3zrLCoZ6Ry3xGVKGW2q2cH8Q5YXHQcS2Mux5RMdd9puPMdsb/zOB7n8bFH8PRKdRWPXy3PnDkBJ75wG0at9D4TFG6pxMQ9MB5dXb0mX35I4T5X0L2CTt/2G/lC7+swOeMoGJMvM0xJ82OetGmPAtIgOD4Dymhns7IBOHkUJjIcqbj1hFN0y0gjN93S94rJGX7qF5yHGB9/Hi5l5q2JOOa4BvzZF3cbljbg6JFD3bMyoPRId1p1WOWc7p3eWWTe88aT29mRsDy4nXUf4zmwjDHPtqenyL/3oxNx9UHuUOGTx3HrO2Px7e/eiBvvfggXbb4TX/n1tHZXThpfvxe/iV+K2757Lb53/2048Jlr8N1/uxVo97G4+oT5uPf5wvTUnUH3pACis36DR3pfgvOGuA4eorMewYMvuydFsOH53+A3i90TUqgO/rLkMvaLJ2LC34BLT56AP7/uK1+SD+YE1X3ute3LHSS4Yx1IQJ5pLz1UvVdQeWIZ8JbHTwGF5AdvvSjl8Y47JmHSHaf58kJwvKXKvkk31m0lyTNuu5URhmyTqVvXTl/2/QrtQxmKrYu6AjkHPEEDDK8JbERyZIRiIzKIsTdMx/TpmeY23JEnLC6jR6Gva93Azg0m4c4zc4d/4muT5Hg0RpkGYsB5uOqyxzEBN+JRjE/pouMnIMFZqKh3OToNboFlA9Dh+Ffhk3C77W02j6Nh4dFSqdyhdRP9H/LF+6OXTcKEtxiXwCV/oNtDOGbKHRj/6ERdmUg8MxZHDTcxXwAH3Zjy/+XbjnYddwJYmfriO9j48oobR9mVd/D9fc99KBU/xjA/8t6c+d8XtrzlxI/JxzS+RiKrbrj6ceWuBr8e96Lk5cLoUI7yJMyRfHzikWNx3sOP4pJxP8LLKm4fwnkrszs3ioDyMH18A04L1HcFxHccM8A9zaIvzrvhPPSVvH/jQZnxelpgw+6agEZbDygz78tX7875252YdNmJGOueq7CMBx6ZcgyuwiPpvGc6CwHkHExsN2N1Z2fleThxsVsP5ajbgoxX7xXSMT/xyCLqoRRRTPvT4zjw80enVkY2zJ8mde+dePojntVhiLQR0b9Pwjx1NTcN81/EpIcfwQRGVaQf+o5kvpuWSsOqI87DgY89gmklf+dsJZ56aD3OO3OUe+4h0YCn/sYaqEiaJ+Hvf8tuPDqqg8pDkuceumGsquNuPMEtX3+4BEff9jKmP3wexqbqPm8ZFSPXcqbsY7puzDAmH2fUi+Px+Dt3qvKbdtuejik7tmm/WI4Dw6KMT864UWh/iqPwcpAqm6zLc9WfOcp3UH2SMnkGDcXWQ36y8oPUixqJ1zNZZz2arnfFPHoZ+yA3euoxA/tyuuxz8uiS47LvyCBPPRfMJXjUE44g89C5vtzZVdI3I/9rM/6x7PbbPJcrL4x/TPel0247wYDdKZQ1Tzk3HHKIc4iYG55e76xfs969oFn/9A3q2iEPzXbtDzizeWHmA9r9+qeczCfSpJ7NMDc4T61xbyiK2c4DWX55/VvvPHW96yZhzcCENdBkhmf2Q9luChNPfr87ghsexreBch+YSR3d+HUpPP51/DzwtA7nAzOVo0LrxOd0HBm52t1rqHdAPLs6a/lB6ec+007cGF28YfMSnF/8Jki+4MZHLr8NOdO3AFLhazfPd8z/juKNt7T+vnSUtEnnA8HNz948mEUBcRqsrymLmXk5TXvXtxfR3aSRp35T8qgT86kc8+qeD/qZI68zPnLHF/UuVGc3/ZQe3ufcuAvKgxm6ZpuMcJl4CIA6dDhuMqAOHSsLzKu5w5AnHvPopWib6Nx7ziPOPPdU0bTCmfqm1I5xnmx1/vMDia8f/Eds7bB+tjNxygqnTZ3Mcx455xDnnEczfHbmPXqOc+8kfUc+Zj9URDw1/N35co7wrX/+Aefvk5gPion3Nmf273/tTHyT5T07XtvVIbAsMY0CwuC9l2nVXj710l7apiisnHnrzXwmS7eCw0E8dVEHUGHMJaudcBSWp/LUJ4oO1EPeNE4RlB889QN1cf3KW/ZZx6XCkk6jDOMJU7o+zn1/Or959SuUrp2+jMvc7VEwRdVFXYSCX2nTM4J6dM2Ra98BntGrjBg5k6FmZGRkvmKxZ+aIM/d/uAR4507c0c5soF4tMOYhnOefGQ0YmdJkzjKOxY18njKFtJ/Gv74472E9M3D0wgbPiHQOHlQz1f6R+6PiQkZhVM6Z2kJxR+/eGRJ3Jj3fLIie6dUz/lzpuvEg6uiZ1Sgq/odi1DigYbFeocHS9Ew+R/lc4RnvvsI26TV3xYaYmTU3XjFlgtzpxu8LPwLXZMwsipbP+PLPVoxXz6RmvPLMFJGGpcFXvasdejXoaPzoBZNe7awQDRmlwpry2+SpomZ38uCmhYqvPDOQ6TjS53nxrrYEmYB4DFqB9MZbeubMLS8mn0vajF/ItA6aNesAbvyqOHFXV9Nhd1+VVHkuQI9Zf1bXj77t0tKExc8sycPvNGCFWDdIfh6l6gpT3oNoZ/bNH36uKLuvpflXxRgfZkYta5Vk7URIaAqcDRwPMNwqr61Ag4pPouu5l0+ekFXvqrrcO1OeMtTds7q9XUh96osPzhTmrudM3ih8lpD+PTLyZdUeab8ZH97nucLmxqO/7WBdn68emj8bT43bS5720H0IDpM6rm9E7Csn4Om398KNl5+Y+r4nJ33H4ugj9Dc00ekv4qnm83Dj+Xvpay6j9joGT81pb61Iau+RUnelFljc1YSg8AsbPpIyNzb9/VGK5kn489IT8bnR7nmhLH4KLw24GEfXu+c+gnXwlBmJ88xVS6YVVxZH4c6/5U911bZ58mpmHZ+5qpKRtsYExdEsljO37hGTzps6zKZcpupNtn1ZKwzptidzRl/8eDQgHMb4w7O2QfJqB2Gbs/gq1fbnIt/rsfoVsjzxr9qf09AwXvQMbNOKqYeKzQ+8fwJONP039mfcFfXxeDR7FcWFddyo8RIWVZe6dR37KTlWCLkSrOs9HV5vGhuTbjNJOt8EGn9/oiunbzF46lHdX9y5KHjAo14pC4xwd6AgGek2lfk2oGGhHLzLdwddih9JJ3vSHX+WuzuAieRHR2U30lIJsdD4Ow1cxmRH2Nt466W59MDhIcnwRqM5D7MzzsrL19EzGbWg5chgdGfHFGY9+Ei9m6pebcrfydCV/VVoUB0C36tRRcd/X4yShm6SDPYUw80rOi+rexhnqcGDt3Izy/6U5SH9Dc90XDrEkwZKvr/ycDuTptHIUXnq1woljIvZFc1PUQMHMkDulUOqohV91KAtMG8XO8h1GznG4a1BuvnJXWlmdAyDXqMyA0/KGn+Ma/dTbPiFdgZqiqDOo5CxJG4adDZQEt6ggWkqz5lGKEOuictLcFWORm37oP8N0gBqO19/SJXBnGU9R2Oo0iI7zXUdpPG/ksv4MJMx/kabgy+cfEy7+WfDM3fgztGPphti1lW+sPc99yqM8kxcsA4c/9gleDQojTkAHJfvFbz2YOfEDDjG4sTRnnpOSHcqgnDzxguj8IjKQ96BSxBz8OfXTnTrPK0nHp2IY/hanmkLGB/mlWY3H6aMt/MaEBcbGuaj38B+AR/6z8fTP/wevnXz0+j3k/txyRjXuT02TMJvfvgtfOOXK3HRAzfixF6uu0tVXS3wUUMqnfKRLmePYBTjLEd5XbFwEkb17eeepZn/z2nSCRoboFs+GjHhySjOOytIkiZYh3SZ8eZ5fd6g04rt00LPa5QBZHaMzQSKl3yvGAVMYrATfzU7xe490hluSMWr7tzn6kwXwpyHT5OOdqa+ecNDPK/fFw7bf8n6eTrD3nookAHH4MSFEwLLm+q78FUysafyna8zX1w9VGx+4ODJ106+daJ+5rgJaTca0+ZI2j4inXFOaqYGPnTPCftMxbaVkt84gPINgGnUa3ZBr9B1mfT1TRCIyX6lzd/PJG5YlJ6mv7hzkXvAw05NjpmjDNhIyuHoVAPtju4zEld3sjuMaayCKvaDTlSVR8ZqhNh0p7mwTMxCzQS/5A/Zq0pqNlSOaf2KZ+wNrOAeTxdmySiPP6rjds5bEnsFdTLMytUoPRNqKp0OxL/qfN16ontmMLMykzwziB5MpzTV0dboCovf8HwLp93lTYMOwhkZMzv0WHAlnCZgcJciIO3VTJW7yuSpqDJnbrYHNw7bTU833AGVpT9+g1ADdzXIYCdR8uxBfX150xMvgatD2Z1JPeAX/JVy0PdYQZ1HIaNxz9EJU0iYns450+/iru5ISdGNXalW4Azi/4STr4IqBa4dd8lA82EpT0U0TCot1ERMwIq0UNR3bArpyEtnzt/BSxvTEOlB2o+k45qCaZUV9qFSEvQqlpopvEOe8U/quLAu2p56TnVuPQOOsV+UTuRbJt0K7FSYwb0Z+ORI9w3PPIKGjLBK/cg8J3lzezqqhq0t6wMHC8BeOO/u+/DQX3+HE9/9Ai6U8BX02Urfo3Ht3Q/h0T9fg6pfcoLOV8kOHIrDXGswHEyyoz/K07EPznOaKBqbgX79fOs7LHvV52UNuNojKmVkzpEXYS+ubuUirw6+SQWh73CzftYXx5wMTJiSu/XIv8JTLNJxO7MBV4k/uu6XuL2L7Xx60LQ9bYKaVMCjuE10yuxEGuPWtcXA/lhQWZD2v2G7V8DZP3gcE7x1sjupRT288a7ifuQjnrB0oB5SFJofzBsIHnMD9AYA/nbIbXPYZ8M4nT/0GzHKmgdptyV0wZNceeD33d7vHQkHWwt/hEuLzT+dmr7Zcaq/hfK6BdQtHMimvvukn5PyltmuSI4BD0dyUiTfmYCJeWZdvKQadndFJHOE63bAOgvTac74KDcYPeOpZxezCgYzr1q2u6TwWWa3g5i5xDgWl0oFbVZYjjlZCqOK2zmYIP4X1clQhVwGUFwq9xSQouKfnWB31iaF+xwxgzE/K1Idbem4nKsHmqZCVzNu3krOfVWoWDi7rRsezyAxFyadC+igqo4pdTYDtzwzJu3C+BOds17PMXHYbnjcWa4OhIGD8/TsZq4OpDvw4qqc6Kxf1TJGx+t4z6BHlwH3pBNgGt95tWcGKSC+1ESAO+uvOjcZg1/d+StoQiYXqmPsllFl58YFL2PUwsfb/8DVJZUWRdST7cIJDO9A2P8aRqohYhpnpj/jLDvsbl5gnlWzczk6yaquK6KeEzJenTUcdCJGmZV8NbPodgg4gB3dfn2cwh34cGOOrFf+BMoufjBZOI2bAmZNEzKISI1uqrD3voeh4bFb8fjHrlMuoo2Imi2bI6Ow98FRaQt+gwkF/7gPZ2RlpHor07/QV00b0ZiVJ0Xuk4047wsBmxjkgxscTNkbV40rbk0oE3Yqc08EsbObb0W//RWefK8YZQ4w5jzMlTE3HlVdzhUdzlhL/Z0VZ57ZcLZ9vlfUMj/cljpV/LvD8/pRUSs8eQgu21ITLpWuejvlID2Q0LC+97ddY4+7JPM1b7OKEtBG9T33Nt8KTBH1UIrC84N+Q8ZrmJ4B6c32QMLO11w52Mx6lu2/eVPFNUGv2AbFTyYMux4gqdfF7kq3Q4WtKGXTqem7PSx0V3DZXiyUdrmAt3C6EsEDHnfVIGjFoz1Mh/XEjMGDm9k9M/HejGgqrw4liBtWb6dJr8pIZ4mzDu5MhVeOF/1+bpCeZtaH8VD49wxmedGfSfseeaKESHfgjcxjpjwiLsV1MjTuCD2gMmo3/hkfnN1yv7sxpAYanK33vnInqBWhh9O75Tx6mVQ2DyNg5iUoltzOqUqDdma22FhIGulvNkRHCUu+1yB1mN109pDVEXP9VSsq+VYeCsTIpW4ZuK/L5cWTHwON9/WwjA69jkc1MKEealXFNytnMGXC7ShnDuT14Dv1rISH5eLo234U2Ajr/Jz9ymVGQ+KGuVBU/n9BGooz+Q1PdvrpzjdndW/zlEtvZ8TNz6bMy/1mFSuoc1w49NdfdoKh/mb2k7NjuUjXad5yEFwXqXsebciOj0D0t3hpOHkSEHYOwlnu1QAiVz3GGW8OjAOuc4IlsFxT3tEBO6CNxYnc1VLlSw7sWbcWo1cm6tXjgPpx6Ehv7VUYatLDjf/28uzQIf61ig146bvjcMLJv/HVR+vR2uZaA5mD35x8AsZ99yVPWSYyCPIuDcU5HAmGq1koui3uiyEjXWuKeWiYNQ1/vu1W3PpDMT97QkI3B0/87Fb85p085WZzAxZ/9BLu5TM0v2PenYTfiv1p72Avjw6qTvJNbGR05nLmM03+FZ6AVQC/8dT7Y28wccl8r1/Hzr0KUIDfKSPlh+XMo0dpVnhylG2XdvtNnIRIvQHDFeRRgX6lBpyptPAM9jLeCvC+MVJkPeSeFpMfMl8HdgeL447Ofp0sYIU349msyaOgdNevyuZdoaEuJuxMb35TJG01d89lm9D+ipKfTk5f4uuHsF/RrhzR9baTJ+gBI8vNydLbCfp2yNMe5x847gDczQsy0LuSFLoDg96dQ++W4bWn0bs+pXeByNgFSsjaBaXQ3SxSuw15dswwbty1wrWb8Hjl5NzdQ+HuOCKmqJ0rjOwCwm/Cktd/7r5RYFiLiX+FG1bllhFP2buq6LA+4DxAf+iu7pf8MVMfb1C7mvjTU+cfr90br9m7/LjXfLuNqLAHxacvbb1kPePVtUAyw+0lOJwGf94ulmC56Z1jUvrm0Wk9d7/JEwYdRk+aqLgK1ssbHrMrS1YY3XxqTFCa5I7PbDLDJyj/s+Vp3XXcKJkmXxYgQ5O52w7lZoWdcZnh5pHnwucC85bnWervfUbHB/XMLDdZ8qlTUP4XvHIDw+6GNW++z1OO8qHSKM/OQGmy4ysb5r1i0k1gHsgRL2lM3hb88ejqnc5HmWx99Yc+/dqcqfed43zj0dnubmttEgfnOIdc8IgzT+3att558Udf9lw3rHD+fsUXnDsmrHDPdXwc5d89jfr8dKLvWU1Hd0Pirml54z2rvOTSwYcqfwH1S04dqHO2Dnn18pQdLU+nldek0435R4cn7WfaTesZHN50/ASHMRNfPs3lrwvLc3DZ8+TLFEFumsB6weDP1zkwdUVOv+hPQN2fCj/TICXHE7c8K7oe6kB+IKn4duNK5Yvg+C+uLmV4jD++NA4g22+tX/72rQulb4Cfqj5Pla3ceTqNP03TrH/6ATceROeC2ojOI3CFR69GTEJ7O6doxuJGGTlDLTmPR8NtetcchTuK5OiRMzT5R7769RU1c+0uO+aerXVnHtRrWXz9yTszOQqjZPTvnU3MXG2Ra7fpjQ6yX4kxMxqcgdHv8xY2WveEhzMI+VYR3DjR79IX6n8+tjf+N+iVLAm3/gC4L8679Uc4WtLA7Kqivoe67ET9vQNRs8UPuT9mNwmjTuZqUfr1M73E6v0WyF3yNq98XXaJxC6XpN3XmtSMgMQ5Z2x8s3xjb3gZPwLzg2eGifczruX+7NlfzpbIwTt75K68PH61d5YqP8FlgOns5o0cs5Hmey3vK2OF48a1iS8FZerdzPh6REpfV6egWRk1yxU4m6/zqV4lusqd5ZT8kye/puLhTD7nDVc2zGNc7TCvn3hnd0yeaPedX3d1Jx0+Qe2sZ57lasHjavWq6Pek86Be61toykAudFr4P2jmakPg7JiEO9eSP1ch1esufwDGsx4Sve/wfIRfCMxrcGeQ/TsW6dWM0zDh5Bzl3szwuTPc2eUoGLOyp1a3cpQBg75Xh6FQ/wtG8vijo331Qhb+7wY88NVjNUPMOMz+QLdu9FjstXilp32owmHXPYTT1z+OO+7/DR784TfwYPNV+Msfx7vftbShTeq32X+Z7vtdniG46Offw9DXH8R9v/wN7vvODZgw9rd49o7M3d1WNszH0fvuHbiRAHdmu9Pz2kyhcNe0aSuD89/K10WHh57ANPn39O9/gydm8f26XDoYGjHnn6LD758W+yQ8LvpMWKavkJw6qNcZdXlO/1gh6+n89UkKd2dN83qYWt2RtDP5Wn3P5X7nwLgy336kVhqlveJv6WW9Hs3ymXqDwKxGqpMsdHny7BZG2A6635pt/0y23uTjNN93HCxDp+WrF1Kz7vnbG1NX5PSLugSU51S9xm+PoV/DZxvo/a6k6Hqo6Pyg261D7wJu87ZrXAWafiImyLXtW9kn5g0C9qf49oHWx2u0DP3tkV7ZNqv27g52029T34EGv2rdNdM3jdv/VitfjNPsOjEN9ZY+iXejCg99jxzlxt94oMDXwzsNd+ATgBm15jJ5RoFqJO7eFzjCC/A7477MGQSN75kCRr2EI95AORmzO577ihiRZvjdXng8cRI0Kg7EndnKOfrPRbvxL3jvCQq7mT1xw6DC7NozjPusniFw08z1W4fbn9ZmFsQd/bv35o8T1w/KynF/ZjoH5c328nPA7Iw3jowpMH/4811u/bLDlXEvV9FyzDxmzsqI8aVjVt4PuCcNy5xcL1C/LNneOGe85cxT/udc48rVYc7WN2/6etKpuLLCuKdf+eubdD7OMYOXlU+MX+JvKh586ZwrHfLFkTE501BIPe/XxyUV1hzXg/CGqYD8kUqrAvOSzns54rY9fPHlL2feWeO8eSgL/l7Ovc7EvEsd2cz+05/lyWLhb/pc6fx9qXsaQGBZ9pjA+mXrf5wfXvp3Z5F7Wiil1cFfttx6RkxwWU2XE+qk9c5OK+3OtPX5z/xg8p3XnhUOF1/+8Rpv+9VevaLqQ19+Zxgz0yWte3DZ8NURqTAUgE+Pgp/LS3Z48q9ieEiFxx/nReYHVV/5ZcozvjownR/S51n+5WqXhOy0yoHJU249mjvMolNWGneh9PXn+8D8GID73HbL30GE+Mcd+1gsFovFYhE4O31v9V2477R2f2lHk5iPx/8OXPLlzN/YaZfNL+HW+6twy90F/KZPUUQx5+FvYPrJj2L8vq5Te3Q5HSwWi6U0FPw7PBaLxWKxfFroe9YtOHr6PzCnoH2ngYaXp2Hs54ocKMigZNpj03DYdeUYKFRh7NU3ovXf/g0TctP1dLBYLJbSYFd4LBaLxWIJonkOHv8ncNFlxf5QZ2FseP1BvNj7WlxyUDl8d1n5Eh6dNRbjz/RttVgiOkUHi8Vi2U7sgMdisVgsFovFYrHssthX2iwWi8VisVgsFssuix3wWCwWi8VisVgsll0WO+CxWCwWi8VisVgsuyx2wGOxWCwWi8VisVh2WeyAx2KxWCwWi8Viseyy2AGPxWKxWCwWi8Vi2WWxAx6LxWKxWCwWi8Wyy2IHPBaLxWKxWCwWi2WXxQ54LBaLxWKxWCwWyy6LHfBYLBaLxWKxWCyWXRY74LFYLBaLxWKxWCy7LHbAY7FYLBaLxWKxWHZZ7IDHYrFYLBaLxWKx7LLYAY/FYrFYLBaLxWLZZbEDHovFYrFYLBaLxbLLYgc8FovFYrFYLBaLZZfFDngsFovFYrFYLBbLLosd8FgsFovFYrFYLJZdFjvgsVgsFovFYrFYLLssdsBjsVgsFovFYrFYdlnsgMdisVgsFovFYrHsstgBj8VisVgsFovFYtllsQMei8VisVgsFovFsstiBzwWi8VisVgsFotll8UOeCwWi8VisVgsFssuix3wWCwWi8VisVgsll0WO+CxWCwWi8VisVgsuyx2wGOxWCwWi8VisVh2WeyAx2KxWCwWi8Viseyy2AGPxWKxWCwWi8Vi2WWxAx6LxWKxWCwWi8Wyy2IHPBaLxWKxWCwWi2WXxQ54LBaLxWKxWCwWyy6LHfBYLBaLxWKxWCyWXRY74LFYLBaLxWKxWCy7LHbAY7FYLBaLxWKxWHZZ7IDHYrFYLBaLxWKx7LLYAY/FYrFYLBaLxWLZZbEDHovFYrFYLBaLxbLLEnIE175DOeqoo/DFL34RyWQSoVBIHcPhMMoVPMqgefLJJ3H++ecrt3g8joqKilQYyoGR+89//hMXXHCBcutMuU888QQuvPBC5daZcv/2t7/h4osvVm6dKfevf/0rvvSlLym3zpBrePvtt1Uam3B0FqeccgrOOusspWM5y4/B6PfYY4/hsssuU/I6M30ff/xxXHLJJSm5kUhE2Uspl35543PLli2YN28exo0bp2SWQ0evDjzyvLm5GTNnzsRxxx2HRCKRca1UGF2Nvzy2tbVh8uTJOOmkk5RcujMuSp2+Xp0JZU2YMAFnnnkmYrFYSm4p9fVj9H/55Zdx9tlnq/QlJv3LhdFp9erVuO+++5TdYrFYLCVEKtouwfe//31HGhVlpKFTx1Jj/Pf6ffPNN6dkGkotO0jut7/97R0i94Ybbtghcq+99todIvfrX/962eUG8dWvflUdO1vuFVdckRUHpZZr/Pf6e+WVV6rzzk7fq6++Wsksl1y/XzxfsWKFIwOtlEyv7FJj5PO4YcMG5/e//72ye92NvRQY/7z+NjY2Or/+9a+z4thcLwVemca0trY6v/jFLzLczL3lhHree++9nS6X3H777Z0ix2KxWD5tdMlX2jiTVsqZQwP9NMZgZBk3aWwyrpcC47/X30+bXM68e912JX2DkE5Txow17Z0B9aVswllxUmp9TXx6/d1R6Uu5Jo1JqeXSL5N2Jj056884ptxypWuQvyY9ibnO8JRSX2L8M0fqy3j16mviolR4/TJ2ymA889wrr5RyiVcng5FL/PLLhVe+IcjNYrFYLMXTZQY8bFANppL3upUL05izMfM36uXEyt215VIejYEyveflgjpyEED4Whnl2vQtDfSf+NORMkk55BpZPNL4B7EmTOXA6ENZQQP4Uutr/DaYdDVyeTSD+XLjTWujZ6n19UNZxhCjt8VisVi2ny61wuOt4Gk3HYlSQP+CjGlgaKe8UjeofnnG7Ci5xCu31B0mvzxjyI6Q64/nztSXR8omlG3cOxOje6kw+vkN8cezcS8FXlleQ8otNygNvTKM3dxXCrx+GZ1ozEoa4Xmp85Xx268L5RAjy5yXGq98bxiMvdT6+qHfNIxnM8grB0ZOPmOxWCyW0tFlBjxsyGjYuHsbu8xqn2fGxdjZgZUGwrUZ9FX3Xjko/5S/6cbUK4dHymZDV8rGxi/La8z1ILnp8LtGXaILtZQOkHvFkHEuFuW/R5YxpqNCO+WWugPhl2eMkUuM3FISJNMYw46Sy/ilbK9bZ1JKnf06GhOUvnQvFX55xnSGXINXpre8mnsyy1HaTps+419dS2W6pUu6xr0i/tEWCpnXMrWOdDdhyZRZGvx6eQlyKwVKV9eYc3M0ehqdSx0G45/Xb8Yz09gQLNcNY+qvbosMaXdf+rq6yB849Nf8c733yzJxYbFYLJaOU9re33bASp3G24EhGQ2Fp0Fhx99xYmIRk4iB6yNRXtDjAcTltgTvicuVeOaTKf9o8TQmRrY/DOXA24j55fKKVoMDG+4SJDooB7pExcSUfjTK3aG7ck09nNY3fVSWHawvG3IjL7sDUXp2tFzild1ZUGZn6Gn4NKUvZZoBrFeWsjM4Kkh6xZZWXZZpl7oq2SrPAzExav+vBCunuFxxkDDPyjlhZ1jVVq476wKK8Mv0npeCIP+ocznlGr/8R4M595arUmH89PttzoP01Ff0xBNTOqlSs01OWFezNnbTV+pmaYTEntA5gg+46ctzfY8Y3sY/ofSgzxAk32KxWCzF0bm9sA4QTjUtNDyTIItTyNmG5556El/60tWYv2y1ul4pf1o3r8b3bvkevn/b3eLC1z94M6+moZPyVlm6FipYYji3GJK/Diq1S6gJ/3n5OVz6pSsx48MGJMSpQq4kmzbixz/+Mb55860SM/KUI82oajDTuqWaSzamrtVisZQeh4VNFTh2ZRPKakrj4oULcNM3xuPX//MoknJB1W2hBP795JP44iVXYdPmRvdODZ9lBW38DCuLZUfBlGFLwmOI9aycuUkjbhVYv3YNfnzTtfjRHfdwaKvqcDhRzHh3Ci7+ytVY2LBEnpCnk2LkP59LNcAqaeUPPbdYLBZLyeniAx42DN5OA2c8XWLb8O7kKfjbP55Djz4D1D0R6WA0rl+B3/3ud9jcwrvpKH8jmQOetCcyAFA3dR100CS8SR1mrTf/NGP61Hfxt789g559d1O6hZw2tDauxf/7f7/H2s0xcaOr3K1bWv7xesA/FoulU0gVPLduApYvXSLl9wk0tenZ/ojqPkfx18cfx9uTZqKislJcxM2scigv+NqT9inkRNwybtmR6BRQ6zWKsErmBDZu2IAn/vZXLFq2Sg13Q2olJyoD2n/h6ecnIJbgqqA48VU5OdKqGmD+Ued0obFYLBZLqeniAx4iHQDHQUQaFbYrahgQkoZk01bMeG8O+uyxJ/rWd9MXnSQ2rluOppZmHHvimXqhgwOHEAcDuilRwyD3pOutdzB0ohsD7ui1LaUvA9u4BbNmv4+ew0Zj6KDaVMJtXr8SGzZuxFHHnabHSKpF5SBRD/i8GrpDQIvFUiZ0CWOp48qsmnnQ/dlEI5Y0LMKqlgqcfPqZ+kpSOs2JVsyZMxuHHno8QhUy4BEPaFKIV0kpzxwIhfgrAt4CbelUmCypBjNEm05fukeSzdiyYT0WrG3B+Rd9UbmpqjgZxcS33sRee38GvXr3VSnJi0xG459qh/gWgoxs7YDWYrFYykOq/u6aSOUfUi9uSWPAF9rSAd60LY7ZH83H8Z89BlVyzgERImG88PJL6F7TDSOGD1OvfSXDbJSkGQnoKHS9xoXhccPk0Tck+kebgffmzMPBRx6q9GWswIlgwhtvitph7DVmtOgq/acQZw85tHH9UV7aXpLF0inwmw0hoUuoOtevPyXwzpSp6N5vGIYNGYiwmpwIY9Pq1Vi2dBn2329fVFRzzYf1lZRXFtmsYuupHyw7Bvf7Gp2+khbqFWIxMnidPHkqkj36Ycweu7upLxVyaxRzZs/B/vvuh+496nX6ymOpalkltX3V2GKxWMqNGT90WdQ3OxzwoFUOcuT7zwkHG1oSWLV2LS46/xyE49KpkAYnKdcmvDUJ++y9N/r3rEUbb00NG9JdhfRrbMEDoR2J484aqlUpfgArjWlSOk2NbWEsWrIC55x9mrhHkYyLEUX+89Zk7D5qJAb1qVPvjfMlCoUTTulmmlN9nlLeYrGUGrd4qaLGV5qSUTHcXCUkA57pOOyww9Gtgl/niZO4zX7/I4TDIey5x26qXuLQSD/tFl6puuglTbresuwY0umi05cb5kj6qgEP8Np/3sDIPfdCXfcqNaCNS4KtWrUOza1JjBkzAlXd1G3maYU/TdNXLBaLxVJKuvyAR3/K4mDzmgZURSKojlSisqIaex50sLr+pTPPRKSyEhVVFeJeiVfefB8zps/AASMGYI99xmJLiwyUHHe2NQW7FdK0qNam6/Qi2NjpBjGBlvVLpWNUgapwBSKRavTffTTiMgD6zhWXoVpazuqqalRVVuCv/3oV8+bNx+H7DEe/wWOwZsMW7VFGy8kTraftM1ks5YMTLHEpZRHpBB9x0H6oqaiReqkG4cpemP3BPLz53BPoWVuNCim7/Gbn1LO+hNaYg69f/gXUV/bBv556QXyRWoArCVJYOYFhaim1EmAL8A6D6+bJUFi1Hmw4L7vgHPSo7I5QpdTF1X3w4isT0DB7KnbfbbCkeURMFUaOOVjdf/cPb5T07Yuf3f8r8YfpSx91S8TVeJWsNm0tFoulbHT5AY8KYVKamlA3fS5NhFqxUGMWucjfwwgl1YejfK0tKk5OqALhUAyJRFS/YcL7VAvjtjKpY9dDtXns1YSrUqs1FRJctV2D6gRFVKPL+/hqW1QiKBkKyd8WOUuKzrzP23LqIZTFYik/rFm4kspV2ObmFnWud2TTZVuvWHNlOYEKqdfi4phQH3u0yUUpv9xGnw/pP9o/9U/s5h0oyw7DxH44mUBzU5M+D0t7wyNPIpWSYFzBS6JSbUctg1Z+7xPmSlASbS1tJjX5hIJnrLO1S9rdYrFYLKVD1dNdGdUYRCrQs+9QxGNRxJKtiDtN6N+7P0498zws3bBO2pE4Yolm/P53D8kooB73/fJBxNqasGzBPPTsYd4jYEOSerlL/e1qMFQqZDKoqek5ADFHBm1iYvEo9hg+HMd+9gR8vHIV2uJ0a8I///JH0bcWP7nrp9JRasHGVQsxZEAved7VTw5GY4NtTi2W8sH5Bm4MiXAI78/9GK2JNimbrbj5W9dhQP8B+NeL/0E0EUMyGcXapfNRU9cHx550GpoaN6I1vhkXf+EcebTCrQg0IU5gqA6xLb1dAf4GE2fc/vniq2iWepf18f/+v/9GTWUF7v3do+o8Hm9DtGkjRu2xD/bc90CsWbcSTW2bcMdtN0kqus2uJKtK5owJKovFYrGUgy4+4GEDH1PvuiMiA5cKzp5JR2HZx9i4aRtGj9kHtT1r4MTapBWK48Xnn1MdiL3HHqw6HNXytNrMQGlpZtDYgaCDnOt+RBeCL03wSxwJX0UN4gyx04bmdSuwZOkyjNh9T9T3rZd7+BOrcbzy0ouIVPXA6H3HypgurFaCaNSyVkovzibrZNa6mliwWCylppJljN90SJlLSBnmajNk0PPWKy+iX9/+GLj7/mpxGtJRnvnu22iTk2G774Xu3WvVdz2sr/R2JSTVNbZ0EZi8EdV8yJ+QtDCRKlSiDS898xR69eqD3cYcqG+SAe2iD2Zg87YW9Bqwm7pWJe78hYSkw7cSdE2s2ifeL4YHi8VisZSHLt6e6s46G4dYWL35zC9BMfm1/yBR3QODdhuMOnENVVQj0dSE5csWoUd9PfY/+FD1GkGFdPz5Lr1pUFJNitvaaB+70gCAgzKtL/dmqOS3R8kE3p36JqKVtRg8bAT6Sq+oksnW0oJ5n8xDdW0PHHz4UUiEKt3d6kQn/uK8VlEQe0pf+eNGgcViKT3cUVFbKlWxC4WSaN20Bp+sXIdeA4dg5OA+ughKGf1gzkwkYnEc89mT4UgnmPVVhTzvqAkKXTWrLUy4ZXHIs/OiZQchNajDL7RoZR3LulXan+hmzJq3CLV9B+OgMcP19VAIH8x6D1u3NeGYE06WVJX0lQv6N3s4qHXTUp3zj5tvLBaLxVIWdKvaheHb0CHwU+A2NDW3Am1JvP76JFTVdcM+e+2BZEsToq0xLFu5Bo3bmtGnVx1qe1ShNeog1tqmGh6++87ugu4ySEPjNjpdETXgob7hOKJN1DeOtydPBmpqRN/RMtARfSUe1m7Ygk2ib8/6WvTv3wstcl+sRfQVzDCOxm1WXTqmuPGrPTrmezBGZtrPzLNy0r5cfe533ZkxeUb9dbfeJaXSlD4Yk5vtl9M+aRnaxr9p7UnKlnYqAnmIHWEpeclom5TJJnzw0Xw0RRMYNnw4aqtYhLch0RrFkuWr5PYkjj56nCq/TU1N+nUpFlq+lkrjCUNmWe4I9MyrlP98e9D+pH30+pt23Zlh/IclTRIJplFY2p0WScdGrFmxAptbYuhe3xNDe1Uj2taGRDSOhQ1LEJM8cNppp6ItmlTf/CT520tZCenGjRy2P40tFovFEkSXH/CwKQg5UWxdtQD19TUI1fXFr/78FJz1y/HFs09Ft9pe6NajDnvudwg+XLgKH898F/1ru6Fnj2rssd8B2CqDA/0znLoxUQ0Kp03FEu6A+lx5Ub8LavpIdGAnhQ4pR/1X24qDM4DSlGLrhsXo0bM7wj364if3/g/CW9fia1+5AFU9alFdX4/BI/fGjDmLsGrBR+hfQ31rMXjUKKzesEnkRpTslL6q/+W+HlNsoOR+qsjXcJJs6I2+0klMrZDxoG0d8d7zTPqMf7UUipMzxq365fL03eWCMtVrR0RtOau3j0iFjG5y5Hn5Q1NmuPW5wBcpmaIpfWkVN60f75FY6Yiy7jM6Thlnrsd0kCMPNOqvylcdEVIMDIWISsnmX24drR3UNTGpcNIURVi80g999rD9UNe9Fw478XzpHDfjH395BL2kXupfW4fuUq4f+uOTIiyGA0fthh7iVlvfD/9+9mX1bCompADrHxxlSaZrcdAPfldE9fSZq2TqXKe1OSualF8q9yjDONU7kYlRirjlpUMCikfVz64sR8Kg6ymv2Z6ASO0arlC/GTv+y+eivkcfDB59CJbIoOe9aRPRq1sYtVIf10i79IOf/UYiP4bTjz4MvbpXS33eHz97QNwEVS+TlMVisVgs5WSnGPCwsU9yOyN1wgbMQSxUJQ25DFmkkxRx4uLK3yOv1vewNXI7T5wxzdumFNn2OeIfH1FvM7BVpedmNpbGRTlra1EoL0TfRFI6TmINyzkHQUnRLeFEUgnG/k8SNWITi3pGxwt/s8fRvZuSwPjTAyXVBUwpxdWy1Il7IB5rQXh8cUmfKZsI5e+U8Ex3YjLvLjkSf1pfqkyBIo92uikoP11syhya8hMOaz3lv35lSozKy/qyhvr63QpEnnFjUc0z6P0FBdedeVyhLLzmXi8bfE1W52VKYp+cP+CrdHaTVYdC/mpLUYSYf+SZuAwaN25rVY93425djOKI1E8JPcSifIVbT2lZIUSj/D4vH6knC0IFX/TlUedn96gu8I8orezbS9oTnY8YUiPPVbOTMHpygoaTJal8nWE6Roj+8Y2BCqCxOa50qxTdVHvAH7mWxKfvdOcwTw32uLse85ccWmTgmxN9i8VisVjKQLrn1lVhY5EMoe+QkXDizXjh2X+hb9/eOPeiSxGVgU080YRYy2pcf/110qPqho1btiLOXcwScSz4eD7q6mq3s4nLJBKRQZaEia8mhNizkYYs3fkvgSRpKZMJB70HDEY81oQ3X38Ruw3phxNOPRexZEw6Uk1IRtfgBz+4ReRW4ZOGBrmvVRrSFqxetRID+/dXA4TgUBQfNuWX6FshetLO2WuHjbdXX9db97AdpH3gi31h6TxGmP4Ct+JWW76WG9GNnVZ2znXHkHJ9v+Pk6r/9+nYFmHsd9bE99XFC7LRViItG62iqieK7Y6Zzr2KMo3TXi0QiRgclW73mw+/OOqE6SnLbZwkGiy7DEpZOquRulaeNdqlQaOWLhpMi4YoIPpj7CdasXoKzTzoUFTW1WLF2IxJSNyWkHL/y6kvo1r0Wv3zgQbREW9DSxt2+WvGFL5yv/MgturhAMSwRV9mQ5GX+WLGqtxQ8MqdrivPZhQ+pMqqfVqfmH8sJ01jiOMSBtZyaOC4f1FOkiAlLXR3hzxZQsBsybbYDiUMnIe2O1A1PP/8Kmps34vqvXaBkNCxfjZjkr2S8De/PmYn+gwbiiquvkvTdhua2NrTEmvHjH92i6tDtDIXFYrFYiqT8PYztRK1WVFRJQyOdTieOpQ2LsLmxCWedf5H6fQtO0cYbN+CjDz/AgFFjUFtbo1pVXqqQToe6Re7hsSSNjPilOjTSaUhIRy2hBgBKZMpoMs8Khn0/bsIgSRMKJbBsyWJs2NSI0844FwnKScaRaN2K+fPmos+QERgxYrASU1UZkU6c0VA3qJn6ZrsUAuNO/lCw9kE6LnxF0JDWkjI7oG+GD8YmUC67y4xvcaR7zD2WFQoTKeq7MYlPah1TGU1jrpKO6dvFYOfQEV3FOAm9eqlfb9O6pjWnzbgWg74/7Y8mwi+4k1HpbnNQG1GvXcWlNirW92IJc6dHTlaIbK6hsnqJq3T268szuhYPiyFXN8IyQN+8cRPWrlqOfQ86BHW9aiSe6W8MixcvQmNrAqecegqkmoIUX5UUFYwDd4XWhCV9lg5doagnJG1DUnfqMym/4qHRV/tN0rbi4HMsCTpsKpTKY7EpXSVfiT60sq4sNzJ8VgMehoj/uMJTUrHiGVWLMJHDldiyZau0SXMxYMhwDBjUR/IV9W7B5g2rsWpdM84//wI1pKyS9kJtVy6oZwX3VKAtfWaxWCyW0tPlBzxsmdWuRZxpj7dh1crV0gGtxGknH6evR6qwrbEZ7895H8cdf6zubEiHhpOY7MCxgeJsY2mQlpOdB2lQb7r5Zpx9zjn41a9/jdYoX6lTVzPpSEvLWVgJrxpexNqwfNkqNLYAZ519qvI/FOmGWHMUM6bPwKFHHaZEqAlbadjVUQ1Q6FGpoH9J3POTO3DGmWfgznvuQTM3g3ChKOqu6FDPQj/Dv+mnxab0SODnP/spzjjjdPz4J3djW4vaqLv8yID2Vw/+Uun7w1t/jK1N/FFXDeWn9eVLK50SojLj4C+P/B7nnnUWvnPT97BmwxallSo1GeoVr6taqTPPiYfsLCbVIEtyuBye+NOfcO4ZZ+KGb92Epeu2pOO2TCTUu1UOnv2/v+C8s8/CNd+8HotXb1TX9A5a3DKEfxlYnhcHZ/q5SsYON7/FW7duLRas3Ixzzvu8jk/+Scbw9ttvodeg3TB4yFCVoejMDjHjhOVY3etFHDoQHEE6/bEofvGL+3HG6WfiRz/6sRsHXv9o66jv/ifdMx7iCfz3ww/izDPPxi3f/y81QVR2pA7iiuFvfvtrnHnGGbhZ6mn17WGgeoGOeZBU5Yqg1NF6zTeOjZvW44P5S3DUsZ9Vvun1sjjenfIOUN0Te+yxp6SvHg6ysVXXvfVkVkJbLBaLpRx0+QFPhK9CSKuQlJFMbNs2zJ71AXr3G4TBfbupwLMta2yOYe26DTj99JNV+1ERiUgjl1BH3pNe+SgBelSBaVOn4qUXX8Sc9z+QBpDdG1/zWWxbahDvdfMoJhrDBx/OR13fQRgzeoDShS9btTYnsWzZcnz2hGN050gaUN1J4rF0wzsVElffd6dMwUsvvYz3Rd+422EypFTtiM5u428eTXnhdopnvjcdL7/8MmbOmoVYPFNuWWBekf9zZs8Sua9gxnvvSTLoTQsMDGNmqHdyJD3nffgBXnvlFUx5dypaRV+vZun+WUf0TT/D1KPhzLvGQcP8j/HKyy/hHclfTW2xDkkoCvXqHLDsk0/wyksv4e133lEbm6QQZRkGldNo8XZOC0H5L2VQPRbHkqVLsXprHKefdrpb2YrPcm361OnY76CDUVlZqVZ1eE0VNbmYs77qSD0mj/AV3w8/mKPK0buSvizTKa2UhX/EpBw7RmYtGBK5cbXy/rLkq8lT3lVh2U4R7cIoSjoJzJ07V+S+jEmTZODhxnymcBPWwkPEO2PMD5x8Y8MTimNLYyMWrWjChRdfTPVSXr7yyqsYIYOd+vo6SV9dJ/P3e3g0Jk22i8VisVhKi9sSdFFMWyRtQVKCmgxFcIB0Eq79xtfVD7axox8KV2Lt5mZcOX48xh16sFZIrkX4ASmf70AnwXz0Ggg7RGJOO/10LXPcuNwdlCKhWM6As7NUIQMb/jbHmL33xVVfu9rVi+s+Eazf0ILLL78SJ590tG4m+YDqYUl88Pkiw5NXX5eTTjoJV199NY47/jj1qmBJaCeeyTHHHIOrrhqPE088SeT6vqXpIO2lLzn88MNx5RVX4JRTTkGVdEp3NgpJ0xTSSR87diyuvPJKnHnmmaju1s29sJ20G4YQ9t1X8vf4q3D22eegpjs34dh+2tVdytGYMWOk/F6J8847D7V1te6FwvHKMHb+VUb+qC6udLy79ajFl8dfi71G765XBVg0Y0kcNe4YXHrJl9CtW2beMmU3lw4pWTmuZyG3cdLo6KOPwXipr5if8z6a56Jfdnth4PczRx55pJTfq3C61Jf5xbLukiFTO/LbvUcM7zniiCMw/srxOOecs3WcdwB/PcozfgelT7haFUMoUoWLL78Ghx96kEpf9RNKqMboPfbFV6++DD17+r4hFYvOGzzhHzW0FlJ3WCwWi6UcSOPRJbjlllucZDKpTAYJujlOjPZkm5OMiZFzGrnkJJ2EE0+0OTE5iSfUE/qi/FemHW666SYlM0tuLpJx+RNXcttiUScuj8XEUDRN2hexJU2AsrnxxhsD5So/6ERl4tQ35rTJeSudlJ8iPx6TywmnhQ8oiXR3TTtcf/31gXJzo+U5Eo6EyIyKYVq4UlN66zDk1vfaa6/NIVdpnPJLX5W/iaiYNmUo18SB/+n2+NrXvlakvhIKiXeaRCIu+cpxovIon6ZhGGkUKi8E+yuDwyJklg4ZtBSlb8LEc1RiV/Ic8zLj2aRxpnop1yxyyWU50amrTlzEotJWJFGulN02iUrm51TcFoiJ50L1TTKPJkWPaJMIk7Ilp5TLlNQwxG5QPfnZyKBZtmyZ86c//cm9oq8Z1LM8ZcWQbJYs0ua0iNXklKQj8S3+xiWuJQZcffWVtMmE+Z+sWbPG+d3vfqfsheorD8vNoq/EdULCpKoVOrtG+8K/WoYXo+/mzZudhx9+OCUzU7ZOXWMUtKjKWWqseIvcLzlHvI+69+bDyKRpbm527r///gy39qF2Uj/Go6r8JkRhOXgC50U7Gn/NMR6PO/fcc0+gzBjdlIVx2iwPSfqKboy9mMhSdbTIpsLZ+ZlPinEPmnTOo+Ptt9+eFR6LxWKxbD9de4VHwVcHZGAmhwQiCEXCCCVjMlDjJQf8GDcZrlKvaaTejy5issw/i9cuobCWLVRWVMrz0O/e85J2TlOs3y76KUmacKWYECpD/B5AoGAngWQyjHA4jMqMOdPAEJQAhkNilvEuZxUi17u+kyG1Q/rqZzL8MWfcMUykSbOv4rgj60pFpy/lclc2ypbo5Wso5mNjQmvqVM32Fut/1yJMHairm8Z8vY0z1dRM5a6Uejyja3FICVUmBb1Ry5jiV1gkVUoullN+tF8ll4qXUBw6O8ifimq1alwpAs0ai55rD6kwqNezPHmH+ciYIKQuVYZXpaeqnw1VwYlUqvjkirR0hJX+3HGQ9RjLb+r7Jh/GP5IvD3vvC4TPyuVEUvSSjMwk1vppo6EtHfNeue3pTPSrbJqUzX2EK/B8nK/rpbYkD8Crh19uvjBkw81kJF4lP9PIgyprB4vOdPTK8x6JCRv32lCL6dxEJ1StvucJh0VeQteNMqSEw3pbIrpK7vPGjY4d77mffNcsFovFsj2kW7kdTM5GTdzYgDGkamtiNgoh3TVRv88iIyE2E+pJ09HgmXtoj5xyc6HaJOmmUJTY1G96iFwjLu1T5pkfDlgC5aqGlTo66rslehGiXoJ6dY6DH/Za5BburKXR9+URlyKn3FyoyJVmW3WM5Tk1yNSXiBKrzn0dWx+55SoffDZBeilqmMcBFp8Vueo1RvdyoRSfvux4iS7sMHFLW26AwcR20WHUEZBP3x1JcTqzTIWRkEFeQnSPsFMs+mo9dfKbv/reYH9zy9RubhbxwJ3ZQnwpSPK5nLKTqncLKIridBXc9E3III952lH5ikMfHby0eJ5pf01n1+DtnBMjXx3FXddLCcSSzMOciOG9IkPyE7fmZm6iS8hbfjOM/PXo5LV7BwUGrz0LuUbtwhEZfLGupGEZ5iUVukzdgqDMpNRB/njQaNlefziAZaXAfyrPqPIj9jyijA5+XY0xBIchDdM2zMGIGy7qy7AXi5GbHbc6k+pQhBFPMHZlIMsMJI4cPMdFd371FxaxqafVA36/LBaLxdJZsJru2rD1dBudCnYVVNtV5TrpFiXVvHl74gWj/S4UdtLYTeC73KbjoCJRNcTGaDoSGs6CirdIhtmocgPoiHgUUasbjtpaVvtKuToOigt/8egOmu6aid6ujuZowkPStsLJfCbtH7vc3AzCdL313nUd6BEXjZGrYd9Vh8aD24FLh3bnhqlpunEh7qQlxhQlkxrtkavT7R1IqKmJVBllmkpul/Kk/tGd30UUWYbzdvYDcDjI4DMUx0fV1mwy7GLn1hWdSl333N8J5+Bd/76L3KXKveceOSYSIkN6u1wNoGecuND3ablqGKTyUM6lhwzMYIMyKJtkyc2Buot1lTryOQkbZevHBTl3STm5GP0og/oaWRlHPqRGODqPqFPzL3VN4kwf2tXW6OXV1yvP2HORZOUpUqgi400/zys6ZNq0j3+CJm3XacZTboxTGamUM2mZeJlG5KrYFruWpGvK3Oh4s1gsFkt5kXbebWF2MDfddBNuv/32VEOnjvKPA4C4NB5xacGqpHFWL1RJI5qQFpSvs/FXYZJ8tUDdL42HWgUKgq1RNrfd9iPccccdKbntoeaC5V49AGHDprrmYuSvPM8z9qHYzjvSg1I/thjAD3/4Q9x9993Zch316yCqwyQn0gekxpVIhPhDjdRXSHQTv6VTGk7IHUGdptxJ+v3vfx8/+9nPCtZXh4erTfx5RvYPtd/q5ybkSB/CoiPtElTVaQzy9bvf/S7uv//+LLlypo46DtlN0mccWJr79K/Xi5FnucpnnimE73znO/jlL39ZsL5qNlhkqNeOEjFUuj01bphBuUxhrvhwdUC9YqlSPJtvf/vb+P3vf19YHJeQyy+/HL/61a/cswKQThtXs+Jc0ZLyxJ8cjUgcJEKVOo0lQfVKIvO95DU1KtCp5OWb3/ymkuuPZ+Z/FgHmH/5j/g2Lx6q8iGEONr+bElHpq90L5Vvf+hYeeuihwvOzksjBSqUETuxOVAYmTFOluegtKermtQoJp44D91GBctatW4e33noLX/jCFzLkilXlHWoVRhyJJF97ElmMM4lD/v4K/Y0l4+Is16RsFRJkI2Pz5s147rnncMkll/jk5tbdlKekyIqwDpG8yw66LmvyTz3Gkk2Yztn+tLS04G9/+5va1MIvl4NWSnEkznQNIWccuFIOPRfDV744EAlJnsqVf4KIx+P4wx/+gGuuuUaVy1w6ZqAUEiNyEhLPXB2mPJ3fdD4MMd55Dx3k3B9/lMW8fMMNN6QGTUTfJ/WPikPtpyr98qwuJw4qJczRCilPEo5K5jOJFxKS/AXGv7Jr/9h26LiSeGG4xf6LX/wCP/7x7So8+dLVYrFYLMXRZQY83MWHDTkxQSp9hU+/TAPHWdow/u///g8XX3yxusqZWTNzG4RuMPnKDzuFuhOcZIMlA5GIdG7i7ARL41gTZ0OWlE6kPCENmWpc+byrD2X85S9/wZe+9CXl3p7c7cXIZcP9+OOP4ytf+Ypy70y5jz32GC699FLl3ply//jHP+KKK65Q7uWW6+WFF15Qacxw0BATrnJy7rnn4qKLLkp11CizlHK9fhk75bBjyt24SDniOZfcRx99VHXESVnSl7JEjjc+t27dio8++kjt0Eh3ms7IV83NzZg2bRpOPPFEpSvlMUyUnyt9Ob7gREyC9Z2jO9wc2EVkAMbhSixcKR110Y2DNLrJfVwk8eadWIy/G/S22uGNckl7cjsCZXnTmIZbaZ9zzjkqDKQ9eWYw4UidTE01UucmWTcDbRVJVIpFD7pFhnjnlUt4/vzzz6sd/Iy+JYdBUyKpJy06rNxO+6c//amyG/zhs1gsFksHkMq0S/Dd735X7UpDE4/HO2WHGsq4+eabUzILgbvupEKmtuDhzjzcicogNp4oh4y7U1Ce2aWtULmlgPLMLm3SkLuu5YfyzC5tnS3361//eqfLJf7d4cyx3Fx++eVZcsstm/6bXdo6O33NLm2dJZeyVqxYoXZpo924GVNqvDLWr1/v/M///E+GPGPax/XH2NQOdEm1756OObqKTfwycWn8bmxsdP77v/9buRtZhcstDL9/lNXa2ur8/Oc/T13zhisn7iWtGY08px3UH9a2qU3bfN4Yf3nkLm1G385qj8hPfvKTTpNlsVgsnybctfUdD2dICWeyaOdRwqfcygX950wlMTO07clUs4Ku3Yt+cUEwz6cm5LJn5ijD6GuO0sipYznxyjV6f1rkmhnSzpBLCp2RLjX8rSLpoCk7w9AZ8ndUPHeWXMoxR8ph/Hrl0W5MqTAyDX65JiztyU354vFP382/IfVCWvppsYlfpowav6Xjr+QZd0M+uR2B/hm9KYtxa+LXuJHC5GZolTplbuGLaN5a3B/XlElZRh7zmDds5YL+l1uGxWKxfFrJbMF2IKajYir9clX8Xn/ZoLExJ8adDZsJSxDSzZBI43XdoWUUsgFNocaQ2i++MmLIJ5eGbvnkdpSuLNd7T6nwyzWdf1IOufQryD/K8XeSSik3F0xL8wOtPJZLptdfE8/GjcfOSl/TGSfllEuMv6aO4NHIM6bUUIaBdlOOKJe0Jzf1dEjul9u4OQMtfM2NNtZlegBAV+1m8PvLcxOe9uQWi1dPL3Q3cnhst65yvQmpoQ0R/eQRox8tkmuU3o65N0C2iWdSal1zwXAYQzpDpsVisXxa6DIDHlPJexsfr3178TZaxu5vUCjPdGRy4YZSjDSoqdu80SitqzxvfC6V3GLJJde4kR0tt5R4ZQTJJOWQa/DK9BoDZXvPy4U3PY28Usr16mXs5tzINfFs3EuBV46xG1NOuV7ov/HbyPSHoVR4ZRmdaLyrDQXJdXR+93TfxSTUufLdvU78JSPIbxMWM+AqNX6ZlEXobgzDkBs3zpSNfqXP9VOiuXISf+QvrUaGH8rxhscftu3BpF8+Y7FYLJbS0WUGPKzg2aBwZq2UDYuBfvoNMR0IGjZw7TXk3IGJSJOvjkSeVk2r23y6f7XxyjOGFCu3WLzyjCGc9Tfnnwa5OyKevcbA/F1q2UFQJvU0dppSyjV+eg0JSl9zrRQYv72GlFsuMf4ZOTSmU0o7ZZazg+qVa1bSzHm7qF3C3LCp2/lHDwUUXJF2LxsNgnQxbiZ+TR4rJV65Xv8pj9eM3vnzs/ZD/+Uqj9zLndnEpnXmFX2WlqYx8WmOlMNw8NyEoVQYP/3G4LVbLBaLZfspfw+sQFjBs0FhB9WclxvK8L4SYxrS3LJ5nwx41A/liE1uU82yPB9WOyBxQ2npELjtIoc+QU1k8XJLg5XbOXINlGtkdZZMQlnGdAaU82lLX8rwyvGflwK/f9STOvrd25WbTCDC+kqiidsls1KKICY1laPqK4k5OFKn6VjM7Z/XPSgcpcSkpYGyaExa54QVcpKvscbkXrEmqaWcOwmEWW87/FZTBmxi9Yfe+O09enUsp74Wi8ViKS+ZrYqlHdhgJvDPJ/6G4447CbM++lit9/C9+Lat63DNN76By79+vbotxBY1q0m1WCyWziSEJQ0LcOkFZ+Ounz6IuNT4/I0pJJvw7yf+gsM/ezZWrV7vduZ1R39nht8mrV65DN/4yhfwne/+CFFRlb+tFE624Y1XX8Ihx56CTxqWqUmppDuwsVgsFsuujx3wFEusBbNnz8bEydMxaPAQ5eQkkmjZsgH/eOLvCFX2UB/DhsLSyCJphzwWi2WH4ThxrFm9Eq+9+qpazdHf7rBWiuKpf/0D8xevREVVjXIJ7wK1VSiUwKYN6/Daiy8jmnT0hBSbOSeKZ5/6F2Z+vBiRim5qgBe2KzYWi8XyqcEOeIoiifi2jZj9wYfoPWIMBvauBX9bFBWVWLtmOZq2NOLUk05Fm7SjeuXH++N3FovF0pnwlawYli5ZjE3NCZxx1tnKVX294iQxbepUHHjIkejWrbucs/O/C9RVyVasX7sa6za14dzzPqec1EBO6uKJk97G3gcfhvq6nlzekdo8+JVji8Visex62AFPMUjr2NbcjPfem4Fxxx6tGkuakDSdr730LKqqIhgyYrScuRd2gRlTi8WyExNvkY7+JIT77Y7huw1FNd2cGJrXbUDD0tXYf599UBGReopjAvXAzoxoIAOeN996E609h2GP3Ue4+srApnkbPpj7MQ7a+wBU14irtHwh9c9isVgsnwbsgEftMGBae/4R4x74J+G0oqGhAUsXL8ZyMXMXLMPaNWtx9CH7Y9mSFWKWYYmYV9+cjKEjRqKlZSsWr9igVng6MuBRYnOQCpYh3807CZkqGA13tGKFyO8K4SwV5dM3+ynjUrxfpaMQ2R0LY/ZTHfMnmELqEwerV63EksWLpM5ahLVLV2DixMkYM2Y01q1ZhmWLpS5bshivvT0VyVAEA3rWYNnKddjSFHWf71pka+x10XG7ds1qLG5YJDo3YN3SlZjwxlsYOmoYtmxYjWWLxH3JEkyc9j7apFIe1LM7Vqxei03bWrUXFovFYvlU8Ckf8EiDGXJ/mFL1SaRF5GtotKtlmiTWbVyMvcbsif333hv7ijn61IvhJEK49+Zv4KC9R+KAffbGPvsehKcmzMbcTxpw3pnjcOgxR2N9Y4v4w+gtbtCjm3AXcyLGY1UmbSkzHqEea4ZRZJwUDh9RUa1QWyyJI41ccf0zXrunZSYtzSvXa/xnOzdpXbxaeY3/rBgynxKbSlemc/qKsemzcmMk8YWmTNnG+M+KIfMpsSl9afSp6+o9LRypSvj9Tfq5TF8ciVeaL33xIuy31544YO8x2H3fIzHn/XmYP/lFjDtsP+y3315i9sfnLrkW0WQF7r/1Ruy19/7414sT1KtfxdVWnUFaR2VTcUCL5KGk1NfJOK77xlelbh6N/aQu3n3/cXhj0nQs++gdHHfMZ7DfAfti7333wQlnXYKEU4Nf/fyH2HvM/vjTX5/qgrpaLBaLpVx8ygc80sAnK1PbSKtOUEg6FIwVmmQbatg3iyfQ0taG5qg0sPEmGRYlsCUZRqOct7Q2I9myRW6qlvFSFRKtCVQl4giz8+HbWrVUpBrqzmixKcM1fnHmkqfPVTQpP7zwY2LPBWP1dvXKi5bmik9hwuG17RqktfKS1lL+qm88iifth4tyMK76SuZZZ6Cl+eWlwyB/S6WvcfFcMNZS52ezbfK6devQFk0iKiYRa1PbUbc6VWhucdDWEkesOYFQrFV0jIs7Bw5taGtqlLqNEw3Kiy6EJ+K8qDpCmzVr14quDmJtMcRamlR97iS7oaU5gpjUx4mWNjjRrVKni+6c30oksW3L5pLHv8VisVi6Lp/yAQ9xo0C1qZ5ZbkcGN6EIevYago3rVmLzpvVobWtGn761OP6UUzB3+Rqs3bIFzVs34be//DlClTW486f3Y9O69Vj4/kz07dlDrVeUqkk1zb4KJkmP0joVIz8VDpIVuI7i9cjvWSpl1Fn5yJRtbP7Q+O/beTF6aF2MRlmapQYp24PxI8ivzkhbkinfhMIfmpLpazrmWZQ+Pxufpk2bKvXVGmzdug7XX/dV9O7bF489/RLWNTZj08YNWDpvJnr17IXDxo3D8lUrsGrDGlz2lQv1b99sr8qdRCrWHAevvvIKtmxah61bNuCnP/kv1PXojof++Hds3NqKzevXY/2SDzFstyHYZ/8DMH/xYqzbvB433XiNqJq5XmaxWCyWXZcuP+AxXYK8zVJBN+VCBjls5N2Gnq91cOe1EH+h3KkWSz1q+/RHj/pKbN6wBKs3RrH7mEMwoH9v9KrthuruIbwz6T+orK3HfgcehJ513dCvZzUq3K94iqWw/oarrPoV9fJiopXGoMIYdKEDeKJe4I8E0uhuSNpr2ko5fMyNkeuVzU0plHzPa3aawlKrK1NufTPTV/senL6ZLuUiW1Kp9TXaaYwsYzSZZx0nHbvKRwk/V3lquneX+qoeld1q8M7EqejTbzB223MMqnpUoL5XDZbNew/N8QhGjBmLQVKP9ZH6qqbS+NK1yBUirs8xuah+dU2N6FuHahnoTHpzMnr3HIA99t5fzoEeUh9v+ORDNDYnMWDYGIwc0h9968OoitBvPcFlsVgsll2fnX+Fx7RY6ba/CDjYSYjhFqVEWn1HtYSCNKjiH08RqhDj4K03XwEq6jB0t1HoLjFX6cSQbNqGRUuWoHv3ahx22EHS4aBfESTYGifjxQfJS4ZO/q5ixsWyYaRlkOWwHXgEGKvHqdPZkbJ3BGXXV/VKtQRjS7uQzLNy05nSjJzOkMmuOwc7HPSoOBd705bN+GTJcvTp2x9jdhvI2k1IYub7c9DaFsOJJ5yMiFR8rOL42hvCrAXLHdKOo2o8qiZH/mhoiD+gGmLoGeYkkq3N+ODjBvTs0w/77TEIYfVAEjNmvY/NzVGceOIpqHLV098Clb/+tFgsFkvXYCcd8EirpRp293R7UK+G6aaPqwsK1Q6yQU0gEYth4bwFWLKgAa9NeAOVNdXo1bM7Fi/8BAs/WSCdhw+xYVMjartVY9umTfhkwSeYv2gZEtKNiJTqGx43jGljGurOarAp0/zNR/t3FILRMKWd6jR3lq6WEiWji3jm8y8zNd2L6rALpLGvXqKVJp2f3YvqkHYtCI+/fvSKh67HVixfjsUff4wpkyejKRpFz/o6NK5aIW4LsUjqsdkyKOAPcY4cNggNCxZi7vylaFS7tOURUBT0J9uvDvnuix5zyh8N5aDHSTpYvXIVFi9YgKnvTsHmlhZU9ahB08ZVWPLJQjR8sgjvzWtAMh7F3mNGSf08Hx/J+ebGFsaY69v2YvTN9K9UvlssFotl+9kJBzxuw2IGAWz0TNPiHorCcV9hc59NSIsaF6O/Wd6Gti0NOGT/fXDggUfi93/8N2JNq/H9734NhxyyPw74zKH47Cln4+NPlmGlDIAOP/BgHHTQ4Rj32TOwaWurBM3XWhcAn8h8igET4x60jrqp1vtMlZf0ipL8NZ25QLE5L7RD+jljU/qbE2Xkj0rn7NgpNfRdq0nBLh7rrkZSOoyEaZtMuq91lVRh8cstXF6fVedcRzSn6103dSgrJvdosa78ksoVzwL01bgu3ChAUXxezlcCzKYFl17yFamHDsTnP38hGlu2YcKEVzFu7AE4cuxn8JmDx+F//v6chKEVF5z9WYz9zCE4YOyhePbFV91wZYa4PXLrqI+qzki7Fk2u51SWCYXVKs+1110n9fOBOOP0s7Bm8zpMe+9dHHHgATh07ME44KAj8Ys//kMe2IbLvnSW0nf/Aw/D4//3T/fl2eLIDo9xESO6mnKkXOjEWywWi8Wyw9lpBjz+hslJcFMBsbivcbABNN2IYsiY5RMrvWSkJJO0RdASjyIuHYGW1ja1YzVQgVhrDK3bWhHfFkdbSwwxuS+JBBqbt2FbazMqwknlb/Y+UMXhbSy53azWlWGjpkp5da2cJBJ8LY9ypDGnXK/YUgVB/DC6pr2ji8jj1rNh6ZqEIuJS/uxK+epVGE/kq44xr7BDmQ7gLkGEOol+VIsdZjUA4qtCJdbXm740KiW5MQjTV+QkJKm5Q2K5URKooxl0KJmuKaO+qp5R2yjrsutIHNNm7iuc7Cfo4h2gb1i/AW2tDmIxOUlGEI8msK2tCa1tjWhu2opkjJEdQWs0iW0yIEKiBS1Sd6lXektVxqi0Kjc8pMOWHfpC0VoaH1JZRSxbNm9CtA2IcpFKRW8ETa2tYrahrW2b6CsXRa+25qjU4xIp8RgaG7eITyVK7AC48kTKJ8FisVgsxVD+HmQJCGo0QmHpAEujwn8h8+pYB1qX1CNioZ0+KROqkIa6Ev0Gj8Sq9Wvx7yefwMC+dTjl7AuwflMTNq5bg61rG/DNa76GUEUNFi5pwNpN67B2wxpMnzoJfeq7b0/rnsJ4od5XF305eczdlFSfTdxLICIvFZGIkktBEbGrAZe463fgS4fXLz1YpIsYlUC6Q9yxDmJxcCAdks6wKRhcpQupwZYOURo3fDs70glXM91uQQgzjT0pkKaD+rr+ep+kk+MOdNwPLaSP2tEBQLHobTH4SpQKhwgsrb6uwh60z9RXjnJZy9T5uTiyw2NcqI2akBDefutNLFk8D2ecfjwiFd2xaNlKrFm/GuvXL8FLLz6J2u61+NGP78H6DY1Yu24tVq5bgS9/6UIJT3bYOwwDJnHBwY53wFO8BPME/Uj7o87kD/1+9tlnsWL5x/jixWdIfqrCB3MXYP3GDVi3dhkmT3pD6uKe+PoNN2GjDHg2rF2HZSuX4tvfuk5/t1Qqnd2w0LB+DjFflzA6LRaLxbJ9mH5dlyWjzVCtnLYS06iwkeFLBHH3VYKiYM+dfrinauZXDOUmUI0oalHbpyfWrl2O5sZGnP25L6F7bRV69uqHGpHasGgR+g8bgUHDB6OuVy169qnDbgN6Q4ZL2r9iyXiMJz5/pDFNcKAnASy+w9QBRAjjQnWo2KCLnYayA0JXPPTcRfvldj1VOri+y0GN9/RZWVGLG24e8IjPMPovQ2NiYeeFm2wYRfUEgmhFJ567Rv8tnb4qP6l45pKplF0ZZBoJZUetDIs0pi/1FSv1NZrRpG0d0VeXFi8qP3OAR/+UXK1pR3zPhfZH5Mogo75Pb7S1tWLVylU44MAjMHhoX/TqU4+6Pt2xYf1KNDU348xzL0KP+mr0712PAb1q0KNKBpzyeKnCQz3pGVcN1QSNyVRFkjEQpcU9UVaGV/zvXlcn/iewasVy7L7Hfhg5aih61tejb58e2LZ5LbZt3YZzzrsY1dVh9O5Vh6H969GtUnxQExklQjISdTWvFVJfNwosFovF0gXo8gOeFAEtBzsOl116GY46ehzuvf8+3agWBVvMammduBk1G0DpgIWkQ8I2S0yFHLirD3+0btWa9WiMRnDmWcfpSemwg03NCUyd9TGOOuYUdJP7wgm+U8GZ6og8LjdxCrHYICn4kDEepFG98YYbcMzRx+K2236C1jb1jl2ZYRwB37v5Zow76ij81399H82trepKQAg7AGOeEarRNvHVdfrJrbfiiCOOxI3f/h4at/EdnXIictkhFu792c9w+GGH47pv3oDNW5tSuhqjSdt2bhz89le/wrhxR+Pyy8dj3bpNGbpun77p9OXT2ma6+iH86Q+PYNzRx+DLX74CK1fxNaNyIxKkHP3lz3/B8ccfjwsvvAjLlq8yV1LGaysWrz/+/PzkE0/gsyeciPM+dzE+WbRWO5YIFVqO4KTTvWHjRixdugTHnn6K+i4xxNFMPIw335qOyMA9MGx4H1TxCakzI1LTqYaAPfRSISNavg57++2348gjj8S3pN5KdGRCKhdaTRlH6jBv3rwZnyxciCOP/6yqnytYjmNJvP3WNETrhmGPPYahgnGDhDzHFT6u8+kBfklg+opnDz74IA4//HBccslXEBf9LRaLxdI12HkGPBmwddFt+0dz52Lq1KlYtXKlagCLxzykmz52zvQXOG5TKJ2AtrYoZsycgz79B2FY/54q0nh9fWMLVq9bj5NPOFY6DQ6qIpVy5OBJh02PjIpEPWKe47Ap0w/qO2XKZCxdskSFrfzoeJgrct+VeG5oaFADzXJATTO0lc7M3I8/xvTp09Gw6BM4Ze9AiHT1Cp/InTcPM2ZMxyeffIJ4PFOuDmNmuuy0uIXmk08WSTxPw0LpNHJ1wMv26cvSEuSDnEnWWtSwGFOnTcOCBfMRbW3usJSCcV9/XSLlZ/LkyViwcAFaRG42+UPC1c5g+Jx+NtMHkeuEZHC1EpOnTMH8+XPR2txYlL5cPTBSzdE87yRk4OLqRllLl63Exi1t+Ny5p0udJKgiW4WJ70zDAWMPQE2V1CxcYVPPiL+S5/k9V1pCR0nrH5dBx6pVq1T9PGvWLM+Vwknf7z7tOvDAkFdEdLyuW78ZK9e04Avnn6MW8NSsVbgbXpvwNkbvtRfqu1ejSl3gNRq+2uivXTsCfdAmKfXx8uXLpd6YgXlz55XAb4vFYrGUCtNCdn1SrYdY1BJMWM3SXXbppfj+LbfgpBNOUN9eFNvIJENR8Y4toGo+5fmI/NMDDQ5q2E9Ihupw7GdPxve//x1U8y5pLEOhCrQ5Ydx88zdx6vEHSrB0mNi54MqQemWHJ0UESLXDruGD/uaYYbngwi9IOL6Hc846QwZYenBVXiQWRMh5nz9f5H4f5557HiorKlVsGdNR0rr6/dJxiYoKnHHOubhF9L3wgs+hOztp+obywQBFKnDKaafju9/7Li6++ELUdPPry1C4YeyEFOgIuTvkPiSjcmH0mOOPx83fvRlf+coXUVfXoyT6BqVvqkOtOqSVOGzcMZKvbsHll34Jveuryx6bKlpE50OPOALfu+V7uOKKy9G7V30qfDqMHn2NAkIhcRqsr+uX6MudHb8n+eqr4y/DwH616koxMAj0MRUSsdAP9vtTF6Xi6TNgKG787ndxyJ7D0I2XIpVIhGukPJ2D71/9RdR3q5EHKyVM/I0xOcjAJ613MEZ/bzwEP0GtpSaVcnTqqaeKvt+TfPVleTD/RIka0OWIY7MNjKpn5Rb13ZnSl36G0b2+H755000Yd/Deqo6G6ItIDxxz0in4wfWXoW+PWrlXIknCxEEev+Fqr3o2r6d5oUugKyt8MSdIO3SLtEeXX36Zmu/KvtdisVgsOwRpYLoE0kg4yWRSmZzwkmuSiYSTEBOLxZy2WNSJJeJOQl0sjptuuimnXOMej8e1nLY2dU67uR6NRgOfbY8bb7wx5b8XnmW7JOSgDcNCmdFY3IkXL9a5/vrrA+XmRu6TeylXyRbdJSS5w5mDa6+9tnh9xU6ZjPdYXNI788aC+NrXvlacvgFyGc98OtMHnuXW9+qrry5cZgm58sori9OXeojOpixFox1L31xyc/rj5mfKZFy3tLbm8T03Jp4L1tcjtxh9jQyaZcuWOX/605/cK/qaIac/ybiYtL7FlF+mDVmzZo3z29/9j5bhf5YOylCO1FdtLWJalZsJH/1h3WH8aw+j7+bNm52HH3445Y9X31xQBu+jriauC5FrZNI0Nzc7993/c1XuKZLGwPpf/oph3IqsuMRrtE3dRDk0cYngaFTiOcaH1WOBGH3MkWG+55571Llxaw9zL/VslbzMY6HPern99ttTz3XkeYvFYrEEw3nBnQczvaYm1MJqVpJGrThw17Ycs4P5CJrFI16/uDsZTVVVlbq/ooI7uDnKVFZW5vQjH/meyb6iZz4ZJD5HmRUVXIcqP9Lq8q+yMw607uo0gFKFSPsjnRSVvoz3cDgkuivnoig6beR+6mzkRriK1hkRvYPQ6avjiWlbUZkvfUuIK4R5inFdXV1tsllZMeWauqr87OrbnmjGjzFBmPKZE3mO9/B5XZ9wlcG9FoD2T3sYJNO48BZ1L0/oqJaWJS0rq0THytSNRjb1zqWDwSs3373mviCYpuZ5la/E5EPp4IbRawgPrlVu1Ae1M6fYzTc8vIFuCe466MqORES2imt6oG/LR1pe+mjs+XQl5l6Tl6mvDFjafc5isVgsnUOXGfB4G5dC8DaQYkl13Ioll1y6Gf9No8WjacTMc7Sb68VgnvcT7CJGvTKRlqnu68A3PKYzUCjShOu/7GAoRFfzLnwG4qeT29/C5br+iFFbcQs6vqVzU8J4zomkr5Fr6IDYHUoxOvM+fx4uJroMRcezey+fYZlSHdlOkMtOsdFX6Sz/+Xg+H7xxQzKeF4z8QoLBcqCfk3jXToF4dTJ29Zx5bTd12VsX8R7loo3r5kXfl09yMB3pvPN+I48mXYdkY3T0ouTxt5pcubxFfFJ2hTionydgZEiZpd0/8cWinPFMgZgwG4LC50flY8E8y4FtIc9ZLBaLpfzkboG6OKYhYcNCOz/Y5Tc9pSIejyt/E+6uXbRTlrfRNg1cZ0D5xhCjd9lRMrQco6+EQh3LipJrOjo67jtPXy2XMrVcdbrLwng1HXH53yGKTht3sE6ZCnm8I9HckTyR8YxY29PZez/Dy7hiZ9ack3bDkZR8JM/xPmXEiVFQSHSbwYaSy/qHMn1yed3Y9VEPdmg3dRmhPd/Awwv9NP56V4b8x3zwHmNMXOXD3EOd+QxXaLxSjEzqQdL+Gn2BWCyacjf+BJM7PB0ZrFAe45bPFfusxWKxWMpLSCrp9luhTuDrX/86/uu//ivV4LUH7zONiveZYhoa3vvTn/40JdfrJ/HLoN3bgJrzQjsQBj53991344c//GGg3CAKuac9+Pwdd9yB2267rWC5vOpNEdodzjK7g0vv01z4cQK8o4wf//jH+MlPfpIl1/jt94fQL3OvlisdinbC64XP3Xrrrbjrrruy5ObCMT+IaULkytZdVB5NiMWv1N9sGM+PPvpohrxC5G8vX/7yl1XeKhj2uiVMSff1QQmi1tcNZyH68l5+qH3vvfdmxbO53++PsnlkGXsxGxvyuR/84Ae45557suTmguHwylXlOawHL6QQfdetW4cpU6bgnHPOyZJp7m9XX+XCXGXuy42RsWXLFrz68ku46OKLJdlED1euuc4VUNr1lsvad/U7S557/PZCaGlpwZNPPolLLrkko/7L54+5T4VH5aviZBJONv35sT/hqvHjVf5Umnj8UOfiL934ahtXd0Ry6hb3UjvoMHrDxrD/4Q9/UG1SofqaazwSY891fy7++Mc/qnqyo89bLBaLJZguM+D5whe+gKuuuiqj0Shlhe/1y9jZELNTesUVV6hzNm6mcS4VueSyQR0vDXlny/1//+//4eqrr+50ub/97W9VB6Kz5f7617/GNddcUza5uXj88ceVMVC+N4zl4oILLlDpS105S02ZpZTr9cvYGacPPfQQrr/++pR7Z6Xvf//3f+O6665LuZdDLv305h0OPGbPnq1+x4fn3rguJ01NTZjyziScetqpasCTEHmceKBcxgelqwkH9ccM0aXDro6FY/wz9mg0igkTJuDMM89UuhIlz3NfKfDLpaznn3sWnz//fDX4kasUnLovt77qijrLjX6GpPzzHDnAY5tEezkw/hp5hkmTJmVNWJhwWSwWi2U7kMq0S3DzzTerXWlo4vG4OpYbyvjOd76TktlZUN63vvWtHSL3m9/85g6RK4OOHSL3q1/9aqfLJTK4U3JpiDmWm8suuyxLbrll0//LL79cHTs7fa+66qpOlUtZy5cvd/74xz8qO41xN/ZS4vV/3bp1zu9+82s5Yf1IfbXM1D0BpljoF3c4M3aarVu3OjKgzZTlua8U0C/jN+F5S0uL8/P77hVhvBbPCJc6Bpg0xoXP+E3mnQbjL+XIoEOd03R0x7WO4N2lzWKxWCylo7h3scqI2cWHM1nm/WkJn3Lzkne+rcjJOPpv5Hpnw4PklpJccuUPryp3L8GuJNg1FznlFk3uEAVBGZRHMuUWK7u4+ymjNPoWD2fFSWfPzHIHP+mwKbsMAjpNvolnroIQ6bSpY7kx+aqcck2e4ZHxSRlGrrlG91LGtT+f0m+ma1jJZd2oXPknJbcU0umXiUujE/U1MryY+0qBkWX0Nqtp6VjQ4TJpoF3yYa767+J5pps/rnlOWUYO87Y3bOWi3P5bLBbLp5kuM+AxDRmPbGCDKn/jknWFDh1oK9iomQ5SZzY2QXKV7gEaekOVGUKeZbq0R065Relu5BrTPrnlKhfXtEeh96Upjb4dg7L9sjpDLvU1nXF21DpDJvU08Uwok/qXW/aOkksol/KNPGNKBf02R+Ov0lesUlOKXD2AJ165/u59sXj9ot17Tkx4gq5tD0bfLNT3SLyWluslv77+q9ofP964Nhg5Ks4lrb35rFxQlglDqePXYrFYPu10mQEPYQXPCp+dCOJtgPywKSimOTANiN+Yhsw0NqVu2IJk0vjl6ln53PoWS5BMmh2lLw3pbLk7Ul8aA2V7z8sF9fPrWkq5Xt28hrJ49Mrmeanwygoy5ZLrx/hNWcQrv9QYWUYnGv9AOkguXYwpFq9/tHvPKdPkKVNHlxq/fH++olwTBoPRNf1kcRj/TJwSv64m3ksF/c9lLBaLxVJ6utwKj3kdxwubAE9TpAw3HwqprW3jYpGjtEUO2yP3RvqirPp23Vi5xjSe/GdeV1C3ShjM7HipSMnyGJJTrgq0NPTyVze3PBPD+BEjzb/841/C5NMKpu5Xp1RYjj650k3S27x65Has46I811YfGfJcQ6ifsW+f3GD8Mo0sfzx3TG5u/DL9xlAO2UFQZrqTqDtpueUyszDXyFFnI22EdPnRjq5zSi+vIYxnI4fyaTfXSoFfpjHMV0au4+405/8dpTRpBdN/qWnSxIL80fWPVlvfRTnmaAzjV8dxepWnXJi4pGH9aOTSlIMgXby68ugfdMgdyui/Bt6Tjk9dP+k7MutnXZ9xWwLlA/9LWiYlLULhdPyacPG8cBhHxgRj4tF/pByvnkHx0lEoI8gYvHaLxWKxbD/FtBxlhRU8GxTT8TcVvreJYYedLuqo3u2Iia1N3OIc9iiDhB4S0K4aUN6n21w+pUzaIt7wfrchMzLL3djQf9NxMefpo9ZSd8NokwaXA7uEaJSMyVlSrsXEhBBXvQaGP+Hqy3N5RnQ2QyP3v0ZGiaYzrE47pK8OY9q0D/3PLbdQfwq9Lw39zx3P5YdyO1smoSxtXIdAGCfseMZVnlJRxL6dGBaZmHsHMxmvqbuVQzaU5U1f0yHtDJ0z8pW7p3WwWKWB/E+IfqKxeoTncXk+psqPcpNy5t4pf1K2LEwcG/znpcDvn8lPfvdyyzV43c3AJxVZaqCo40rbmJH4HZvkJHFm1mKeUnVZMiG1tp6kUY8kdZyzTmOdTZTf4bSfPKcxaV0cDLcxuTF+e49enb12i8VisexcdJkBTz5UUyVtkN5wlEFmU9mIPz3yB+wz5jOYMX+JamQrpfPSsnklLrzwQnxl/DVyt/zj7WE9g0symiz1GxUdaUDLR1ICyDBWSrAqXH3VylXYwVP/eAJjx4zBxHffR4zXxS3WuB5XXfVVnHfhpToxea/03Ki70Vb/pZ58H95iITp/RCRHvDdlMo497Ej85tE/Ix5RWQ3dnC346d234/BTv4CWqAyduQGC25XdOXHLg3Ra570/C6cddxTuuO8hREPV4lqBKtH3d79+AAcd/zls2NiKUIJ6poZ9lnyoqJUaVupfVqnMJUmpa5YtbcCFp52E62/6PtrknkrGpdOGZ5/6N/YZezgWL1khd6bjl/VXRNdiinBSBlU2+i0Wi8VSAtKtS5eFDSkbSt006oGL2GJN+PCDD/Hx4jUYMmJ31eYiHsW2zWvw0ksvoc+AEVB9Fs4ohvUMIkk1oOoB6cipY9dABZd/1Swoj9otyb/xZrw/Zw4WLl6NESPHIMJwO1FEt23CM888i+69B6t7OXuKCJNVD3n0Hx1r+qQLKWwpOWqQn5XGzBkqd2STjGLhx/MwY/aHGD56H8SYVThbn2DH9ClslMFOZXUYkUhFF846heor9zkxNCxagCnTZmDQkFFuyeAqRCuefupJrNrShppu3fRsvlqp6rJKdzEYTzqu+DeCONavXo2Jk6ejrk9/5R5Wq0Ax/PvJJ7FufQuqutVI/Ssp4K6cKB8k2VSdLCbkcLVfX7NYLBaLZXvo4gMedlr4sokc3T676cYkNm/GnPc/wsDd90bPbtIw8kI4gpXLFqK1rRXHn3ymajjVAEL8MM+lLaRrNaa6naeiYmSQx6DyTLk1bcCHc+ehbtBoDBpQrxNOOgvrVi7Fls1blL5EqafU0rppdb1/Lbs0WSN4prrXeFD3xrHg448R7VaLzxx6KCpUxooCjdvwySeLMO64Y+mgnuQKq8lXXYcC9M1wasWSxQ1oSnbH8cef5JajNqAtho8+nI8jxh0lgztxkwsJtSbR1fTtmsQlrjjMIepvshlrVizD6qYwTjvzLLehkQSQgfT0qe/ioIPHoaa2TvKUuJlXEd004stu/BdSv5pg499isVgs249uh7owfOlGdftDcRVYHeAQtm2Lq1npE04/CVXiwuYW4Qq89PKr6F7dDUMHDtCvVogb7081nfInPRDqeo1p2IQplFDhNDpHW+N4d8YcHH78CaBGFWrVqwqv/ed1VFZUYNTwYVpfNROvu2ldTztL5+L2ILOMh3gcb096B6P22R+9e7jlKFSN997/CFu3NuLgPfdQtyUkM8WlA+p7uovh19MYLwm8+dZE9B+2Nwb3q9WvWaEGixpWYM3adTh49ChUSIUSS7rfmFjawRNLqsKJI8IoTcTwusRzRf+hGDF4IKrEzZEKLbGtCQsWNmC/fcYgXFWJZIi1mX5RWT3uVlo8OPabGYvFYrGUCD1+6LLwGxYOeKQrH9+Cdya+jalTJuPdyVPw5pT3sH7TZozcbbC4TRW3yZg2+V28/NrbGDpkCFY0zMeUGfMQVe0x3wzXgwA9Ac7PY120QxdCkkR1GFoxZfLbeHfKO3Kcijcnz8SyVWswctggvPvuJHF7R/SehhdffQMDB/THumWL8NaU99EaVw9rP9jJ0AdlLJ8Scia4DPOTScyYPk3yD8vRO5gzdSY+/GgudhvaH+9Nm4kp77wr+WsKnnr+VVRX1yDeuAFvTZyMrU2t5s2jnQiJBCeJObNmKl2ninl/8nRMn/4eRo4aIsfJmCL1yeTJ0/DUs6+oH20NJxrx1qR3sbmxJV1HWHIjmYJZjQ3J/A9nSx0sdfTkSZKv3sOEN9/BkEH98fGHc/DuOxLPU6fhyaefV2/rVoajmD7jfaxav1GeTGdY8w0jjXaxWCwWi6UEOF2EW265RfpiSfcsTSzBv83OxhWznLqabk6vunqnb886p7Z7dxnBVDiVdX2cul79nJ51PZ1+9XVON1GpKhJxuvcc4Aze5zPOhpaY4yTFk4QY8V7O5BCVv/r8pptuDpRbbm688cZAuVHqm4g5zesWi64Rp3fP7mJ6i769Rd9qp7K2p1PXu87pJXHQr76PUyP9japw2OlRP8CpHzHWWbaxUfRqVbqRuDJJc+pcf/0NO0Tfa6+9dofI/drXvrZD5F511VU7RO6Vl49XWVsnOP+oDOUkkpILxLS1NDmjRgx3ektZ6Sumf203p0LyULh7jVPfa5BT37OP07t3d6d7ZbW4R5zaujon0qO38/b0OW7ZCebKK6/cIfpeffVXRa574tVXylAiLiYWdT5z4Find12t00f0HVRb41SwL92jyuneu59TJ/r26Vnv9KiqciISDzU9a5xI7QDn+f9MzqnrsmXLnD/96U/uWfkx8bp69Wrnd7/7nbJ3Jps3b3Yeeugh9ywT5gldZyWdC04/TvJTWOqrehXXkUjYCVVVO7169XZ61fdyevYUU1Oh4r+yVuqz+qHObx/7uzzcIkomVDrSP5OOzc2tzn333a9cDOXIY8ZPc4zH487dd9+tzsshLx+33357VngsFovFsv106RUeNe/HECbCiCS7o7W1FVsbt2LTlkY0tTTLhTBiTTE0Nm7EtsYtaNzaiHhFNaQBRvOWdYi1Nattp5OcNqRv7o4Fek6y680fMkT6J0S4fbSDbU0JbN7SjC1bNqG5eYs4O4i1RNG4ZZsYiYOtG9EiERRPAi1b1yHe1oZYNCaeZM6PZn7E3vX0tpQQ5nEzRZ6yhBB28wQPK5YvU2Vli5jGba1IOCEk20LYuk3KkeSp1k3NaInHERf35uYmJFpa0dbcombxlbddCm9+9ugb5o9F8ij6rliGpm1SZqjzthb9RCyC5sbNUo42om3LVrRKueG6b0tTm+i7Bc1NUt7czwct+dF7pMSxevUayU9JbNq6FU1NjZBBEJx4WOqwrZLXNks8S3y3JKQ6jyDWvAmS2SRdmuRheqAjWi3I08o8afKyxWKxWCzbieped2X4mzMIV6K+3wh8suhj6bwsxPp1S1FbW4tTTj8bc+bOxdIln2DtqkW49b9uRrKiO352/y+xetUyTH7rddR1r5JOnrSaGQ2n2zHqgo1pnLusSXh79B6IBZ8sks5pAzaJvgP698aRxxyLqe+LvitWYtXyRXjg/juBqh74/q0/xvKlDZg9YyoGy32mk6YP9nueTxeqt6itCp36SelJ8gc5K6sqsWSxzldrVy/FUUcdgVF77IVnJryFRUsXY+WyBXj56b+ID1U4/4tfwUIpc58sXYojDz8MYe4e2AXRExgGnom+nldVZ82aiSVLP8Ea0fdz556JAYOG4q9Pv4xPli/H6uWfYOKrT6OiuhYnnHYu5i9YiPly72mnnqgGh5b8JBK6fuGrgy+8/B8skrp41arl+OY3rkKv+nr89k9PYPHKVVix7BPMfe8d9Oo7CPsddBg+nj8XC5YuwpWXXaq+7aEnjjshpU4U/rxssVgsFkvH6OIDHgcVYtRCVKQKuw0fjkFD+qOlcSMaG1ux1777YeTooRg2ZAD6DOir3tWvqe+Dgw4/CgMHDcLuQwepj7BD/MCfDarYlcLudqeqKTVtaxeAQamSAKpuZbgaw0aOwuDBA5GMNmLD+g0Ys8++GLnHCAwZOAj9B/bDnNnvoap7L4w97EgMHrYbRg6u1x+dU0vpremugnRItMU9t+zKsNNoOo78q2zyR/0YqMpYIQwaOgQDBg9AXW0NPvxonuSdkdhzv/2x2+DBUm76o2HhB/JADfaXjumI4btht6H9UF3JAkQPulYu8q/WGhtXtFRHOkx9ByvTq3cdZs6Zg4FDh2Ov/Q7CbgMHYuDgfli5YgGiThX2GXsYdh85AiOHDEW3KvXim6Udqrg/vtpuOoL6AUMlL43AoP498cF709C3b3/sMfZwlacGS37btHo5onLrsD32xh577IlRkq/qu3PTAhqiNy8wdKGq2WKxWCw7Od72pcvBV7EqOOQJO4hLT96RQQDf33r7peeBbnUYtNsQ1ISTSMgAJr5tm5pF7F5bi4MOPRwJblSQkAaUgx3p6ekfLdW7tan35KQzpHdq61q9GjbyTiiCZCQsYY+LQxTvTnoLscqeGDJ8JHpHuI1DDE5bGxYsWITK6u449MhjuTeS2rktojq88jz9UT4Kakc3d9cp24v4VODN1Wqxg4mv35cU5Krkk8WLG7B2SysGDx2KIX2qJQfxUgizPpwHJKI4/tjjpBxVqzKjXlvaiTKPmuPgIE+Vf5okVq1ZhcVrNqHfwEEY1b8HqujuVGDanE+kz96Kz55wtFoJYzxUcHlH6hZbXvLj8MdGmUMkHhnL/G0wZ9smzG9Yidp+g7DnqAE6X0mdxJW2bS2tOPmMs+TeCEKJmMSzypiSOsxgek9O9SOmkj9DzLgq81osFovFsn2obkxXhqs7YengJ9o24Y033sS770zHsy/+B5VVFdJgtmLK22/inXem4vmXX8e6zVtRKQOC2TNn4q2JUzB5yhQkEwnRkmr6VJV21KyBFEPGE6ozpSw+03E4yIvwRb7oNkyc+DbefXsynnvhPxCF4cTbMG3SG+I+ES+99gZWrd+M6gpg0cL5eHvSZLwzaSJiMYkrt5PAv+r7HW1Rh2JxRMdMrWhjJ8ULz/V920emFK/Rf/1yy0NaJgmSWyp9S49a3AnqJNKJ+TUZx4x338HUt9/Gs888L45JVFeFMe2dtyVfvYW335qEjz5Zwp+0Quu2LZg46R385813sXlrm+tJkbnIjSQdi54487hrq/xNlaeOkPksxysORy8S3lnTpks9MRHPP/sc4om46BvB7OnvYuLbb2GylJs58z+R25JItjVj0juT8dob72L9pmbtSdGktEmZ3Dadj8pNlsyMeiudt41rMYRlEK2ekz9z35+JyVIfP/Xsi9jS3IYKGSUvfH8Gpkx6G5PfegvvzvpAxMkQuiKCNydOljr6Haxevc6Vq/OWyr/KRb8qV2wK6Ce1SZFxUjqyZXnOMi9YLBaLZUej9y7Y8QTt0sYz7qfmJLc5zas+cLr36O707NXHqYzIqCYccnrW93D69ax1evfs69TX1TsyruHPwju1vfsrM3rv/ZytTS1OTDxKbVyVgmcJ56abbypqN5wE/TKemZNEXM7lSONK4V9tCybXLm1OnPsUNTpbNn7s1PeqE916Od0jYQeRSqdHba3Tv1e9uNc7dfV1TkWowglVdBNdBzh1fQY4Q4aPclav25hDX831119flL68Ny63692ThCR1Te+lpP6q82ROmSTXLm10Sbumz+iX3mGOUSxuaqc95ob03YXQkV3aKDsqjyTUzn4SgkSbcte+MCzt67vDdmm74opUoBhCbcTu/klEG51Ru/VyBtZXOr2rJP9IFVDdo8bp2befU9+z3unVq9apquQaaJWUtb5Oj771DmpHOm9PXeh6EkzOXdpcJ6ZjzISGbm7kqSLEG5i+Mcaz+0CBfPXqq/Sz2hf1tPJeuYnUWKtz+EH7Of3rqpxe3fTabnVNdylD/Z3efXo5vXvXOt2qwxIPESlTvZ0evbl72CjnmdemS9Iz1Nnk36WNcqXMyF/mEh0q+St5Jin1RFysyk3lZ+qr78iHideO7NIWlzxMCZTLUCWTUobon/KSV3hOe+qQRb5d2pii9IVF5cIzP+sMqA2pejocCjnVld2cPlI39+nd3eldL/VyZZXU2zVOVX0/p3ufvk63uv7OH/73/3QZp2EAUuGKOy1Nzc79991HhxTtlSnuSElDH5R3ymNz4hofxk9zjLe3S5vrpEOpDffB5C6Iun4UOytNI7cI7C5tFovFUh669AoPZ/fUKw7JEJrbkmhuacbWLRshratcrMWWra1yvg3btm5Qu7cl0U298rZt61Zs27wJbW2tkMaLr/EXPVOYC/ql3pQRe0J/CS5GHIxxJfFvh2SqXx2PoDXqqB9+bNyyWe00B6cGTU1xbNm8Fc2i67bGRsSdarUT0rYtm9C4aSOi0ajoGyupvpwNVv6lZivlhMFxz9S5T+9i4P3pZ9Jn1EvJTIp8FSdi3B+RLSsiUzop4KcJ/O5FyoiIjAToqylzaLYThtMNa4ivR8YhfW6sW7sVm7fG0BSNw4lUoK0licYNG9Eq+apx8zZIFkJSHuPOWs1SvtC6WcoSdwnktxrpmCgENaKSI+MpIn/TP6yrr/EHTTViCfO91ZRDkfh/FFXOlOAQZIAi9UMULa2sSiIQtaV+2ICmzZuxddM2RKVu4WugjU1N4sbdwzairbVRkjmdzoUiuVWM3heRuSZsVlSYZ7hsJgcWZx0jxpSPiOjAckQp/ARLhU+Fh1f5RwLkBqFDIWE5FV8T4s2SFRvQuM1BsqlZ/dZOm9TFG6Vu2rSpGY1b29AWi0oAEhLfrZKvtqC1SepuyXPyuJLtl2/yTjGE5QHmMfqVkHbCUzUFC9kOjHfKS4lTtTmOS0jqrGLDbrFYLJbyweaga8OWUzojfYcOx5LFC/C/j/wWvXvW4dyLLsWyVeuwfNl8LPlkJi695CvSunfH3I8/xqJFC9GwZDHeeH0CetbXqi2eSXZbl+3SHg4HOapxk05xhfutjDR0lJDdwHWgyVOtfAQDBg5Dw6J5ePIfj2Ng/9445pSzsXjFaixZMhfLGmbi2mu+DlTUYNp772HJ0iVK38nvvIOBAwbob8uF4rXLhn6ExEN23lQ8Sg+CneRMdDbqWGYKjiN+M8LOIr9JItwy2PNzsWVE0pWyJY11x5DfJqhhtwdq6n4P1iXxxynPVU5FZVU3LPi4ARMnvo4Dxu6B3oOHY/4ny7B80WKsaPgQDz/wM8nXdfjzP/6BhpUr0fBJAz6c/z6OPOIgnRmKhC+xUbrOR8pBE5JBhnR+mca8pndVE9MBGUEP8VUrhZTNOXPmYMb0SThCdKju2R8fzl2IFYsXY9miD/HYH3+Hqm71eOC3/4OGFSukfC3B/Ib5OPmEo+VhHWfFYFRkjcAvUzwKS/nRBbNCgsY6AyG1pYpyKxvMw1J+WV9xl76w1KWcsdHhZCj9ebs4VMferXCee/FVzP1oFs4780gpNtWY+dHHWLxsKVYu+wTPPfskaup64pb/+i8saViET8QsWPgxxl95RUknaOgP6yvqzMEey3CCZVkumLTZbjyBpVXXBuK3mpiiq9RXrsySKWaxWCyW7aLr9tlc9O+HiKmowvAh/dDE39vZ1oILL/oS+g/qjf6DB6N3bbUMfJZh6Kgx2GOPkRgxbDcM220oRo4YrhogrhBktzuuv0W2gHoST3+NoP+FEE/wqL1Ke5d5VjDqMXbuwxg5fAi2bt6EzVub8YULv4gBg3ti0PDd0K9XD/VbKn0H7YaxY/fDbkMHK313HzVcrT5RrWx9Owh7qdwqm51TUZ6/+SPqpqBVd3dI2lYc2kOlurIJ7LQkYupoZHTOz6KIBNWBo87yXyKS6xoGExZNR/XtHDLzAM+0GTRsmOTZJNZt2ISTTzsbw0f2x+DdJF8NHYgN69YBVXU49fQzMGjgAAwfNhxjdh+KGr39X4cwklOokQ8/U08gInGdiEnKSr6NciCg7ygY3WnPRrnxj+TZfoMGqc7+unUbcPTxJ2PkHoMxaMgQDBgyGJu5spUM44yzz8Hggf0wbKiUo+EDUdddFM6MwKJIh0o84eBLyhAH0pGk6Cp2Xo3KpaCwlxSJXzXYUdMFentyzltky+1oSPSAlY/3HzgQVVWVWL9mOfY54GCM2XsEhg0ZKnHdT/0m2tamOM459zwMHdxf8tVuGDVyN9R2r5Jn/bLpY8ciP5ngSqb8Fz9ZV9NntXOhvpxJ0Sor31zjCSVPJVLViqAIVa2CtDn8+beiRVgsFoulLEgN3cVhixGu0J1s6SysXrkWrYkKnHLi0aqxccKVMghqwZw57+OkU09Ws4VsQNnsqAZJ/qhtqUsC/dGv9Vx+2WXYf//9ceuPbkXc7ZRn0RGx7JCoV6gkaaTDv3zlGmxpC+PUk49Rlx1UomVbK2bMmIFxx49TnSjqq2ZJVRzpl2pKhXqdTjz/7nduxIEHHYibbv4umlplIOJCSSlpaqBQpGw3bTL8oY3KREK49b9uwcEHHYRrrr0BW7fFivW9eJhhRMrdt/8YB3/mYFw5/qvYtJU/jqjJCGdH9O0UqAMx5YD/+LpYhcSpI2nahDVrV2Pd2i343Hnn6SRQ2wuH8cabb2P4mNGokxEOxzhxGehyjYt5yjGrJkXA50znn4NHdgJ1aREjA51Hf/VrjDvscHzu8xdjyZrNHRxCpocXBjXFodJSJMUTWLt+A1atXoMzTz9d30tVRJ/X33gLA4ePRP/evdTmyNzPkYMwGrXCVyTUV73GJnD1hMM6NSRgWJJR/PPxR3H4Zw7C6Weei48WrXHvLCMiNxFtw3dv/jYOOGAsrr/hxlRcpbWjTUJSvLqSphEREUElnw3FsG79GsxvWCt18VlqckTVx6L3f157BdW9B2LEyFGMDcmDnNIJQCeZkLIURTgSkUwbx513/gQHHjgWl152SWplrQPqFY4omohHcc89d2GsyL3gCxcgKjqWVabFYrFYCqb4HkxnohpR1RRLo1qB1q2NmDFzNvoPGYbe9bpBdEKV0nnbhM2bt+CEzx6rmsmwdJZVf0Y80DN9HWs8c8FXOBY1NGDuvHnSwK9Xs6YMakbj1pGWjs9wBCMdMb4wlWhuwfsfzkOP3v2xx4je6uUT/jLR5s3NWLt2HY499khXX1dX6q16GKUjXCHdwGQC8+fNxfvvv4/lK1bqV9s8pM+KVZr362fMkykf2NmUiF3w8Xy8P2eOdFZXZcktC67chQsXyCB6NlauXi39cu8ajw6jDkknhKdovOmfDqnu8+lr4coIPvjwI3EL47NHH6U7pdwKuC2BuR8vxGFHHYYqcWN+q3Dzk8ORiluqCictn5gz7SJ/w2GsWrYMs2fPxLJly9EcjXru7jj0Q79+KWHlobIK8z9egJbWKE496Tj9EhfLWdzBzPc/xFgZ2HaXOKG7+uaF1/lX6pxc+uYeDDGieU0PwmhU1NMmg8d1q1bgow8+kPpjMZpbixvAd6gek4TnqsfatWvw4YcfYv78+erbw5RcZSkmFJlwQKeigkom27B63Tqs2RzHGWecjkrVuvBiBd6ZPA377LcvunWrUjFamXot1q2f5ba0drR1QFcigUlKfbV23Vp8IPG8YMEC8TrHCk8pMB5zkCx5Z/OmTSqe+cpe2WRaLBaLpWhUk9SVyOhIqDaP5wxmGJUV3XDe+Rfgzp/e7bqwcQujoqYn7r7nHhw77jD9iGov+ZyYAtvNYmZz2UBfffXVuOvOO/G58z6HigrVhcqkI3LlGfXet8BuV6SiGqeecSbu+tk9Sh39S/cRGYTU4bbbf4KzzjjJFePq6ppSD/A4ALv88itw991344tfvBhVVVXuBU1aWsflmidTPlAH+f/lL39ZpS2P7CyVHSU3hAsvvFD0vQeXXXoputfUuBc1qTB2Rdzs5M/ODLNyUxksjM8ccih++tOfoX+vGtXRT0oGiyUr8M1v34zxV16iBwWS3/gqFFd+OvIBfyGcdPLJuPuue3DNNdegT6/ermvx+NTVZYCODLcovs+++0p63oU9hg9WdYeee6/A+K9dg29edw2qVSRI+XLjx6Sy19/C6gj9nPdJ5aIGYGEcNW4c7pH8/O0bb8TAgf3V9fbwyjX2gusrGbBWVFbq/HzXXZK2V0qU5EnLPN76ZfOvMWq1M+xg4NBhuPXOB3Dw2H3Vipn+EdxuuOjiS/G9792I2tpuEh9SR4mr/q6IN4khci41urIqf9VNcvTIbbduk8tc5TnnnHMknu/GN77+9fz6FkU+2XJNwnbGmWeofPbN664roVyLxWKxbDfSiHQJzLbU/q04E4mo2tlTucZbxBJzWhPujp/KUf4ko05cTlJbJys3fWiPm27S21L75eYm4SQTMSeRjNOmwhFzw6PCxFsUtNElGLMttV9ulP6avXrjrXI97rSKVfnNe9V2tnKP2FvUs0aOMZn++THbUheqb4LbZHM76HibiNb6cstmI5mGbprc8s221Nly9TNe/9RfblHMbXtFLuODact48D/dHmZb6kL1VfErMpWRZxg6vQl12qT0VXveBvsrA+LCZZaQ8VeOV0Hyi47HoxKPbglhsNWW23qbb24snHSiTrSV5chxms2z3GJX0oCnSmefn17MttR+nem7Tl114vrBPxKWWLNkJinTkr7c2tfk82Iw8ezXV29lboz4St2ZpiI7Juf8F5e8TbnNRjnqy/2b9Zn7R2N0o+G21I899ph7RV8z0KbP6A+Ne02FgeVItBQ5bbGkI9oXpK/aHl1Ys2ZNaltqr8y8GN3VdtT0S4LAo1yi0b7wr5bhxejLbakffvjhlEyvbOWPqa+SrWJvlXqJ92gTl3+JVpZlx2HsaynmefW0PlVOzCncOltFTj8JAAC470lEQVQ/29TS5Nz/8/uVPGPah/4x38bkfkllecaVokyGD+6JX694PO7IoDSHTJ773HiqypOE3cgVR1NvFIPdltpisVjKQ5efggqHIzIoA9RbRdyW2EmiKqw/lFWTh3LOb17oEDEzhUTdoK35KHo1xAnJM2H9nMiTVsl9pcwvLtvFS5BcBp/uxm/uTkcvVCIljW+cBRUXuacq5QePxuSnWH3VO/Gc75e454e4DFeFz4t0JqKtOP/N/eap1BlfpVNy+Y2A3hHNvARTDMXqy3hVrzIxr4mdeSytnyZ1LvlA/mh7l4EZR8+gK6tLJCJxKOnH/Sf0RQk7f2xT7ZTG+x1UVFeqssbX2fSjtKRfzeoI2mdfHJlVlIoqJCv5oz9yT8JBlQjxx3V70Cfte2YIzVbmUsfJQexMK0lTnqv8K3qHIhVqUUfrq31h2LjG4NfXlEuTn5S/HnhOF2N0qGgT37j6Ic8lJT8nw9XqWCHpUS2Xc+mr/HNlBOVhbzj8YclE7hPdWdVLF1pC5NadrtHQlg6JV26QbAPvU9uruPUCd5cMSRzzczC+IanqZ7kQqq5SSR5JfV+Yw0/lnxhedo2S0U44vMgIQ/6KLqyj5Z8MGhgE410mPgcjw3s09sw49j/oGvnDf0QlufcRi8VisexQiu1flA1v45IB2ys6S9+XzaHcJA2JOKqOGxv7uHJn45J+OsCfHOSUmwO2Yfx4m0HgrmV8b1t3GLXUTJ9y+5tLru42ubidNm6RrDdeECMdNXYQ1WVGToZkY3JTrL6MfOprPjFWulJ5F+2TPveEPAu+3hEsNx3mzKsiSeRyu2I+RuncyiHIh3wUra+oYvRllKvvojqg745FQsmAetRmhy3JfCQRqbKSXFNbEsvgjn1C5SiG8czfMtG6qTNlV16peNBX/ORPX/epjMvMvfyon0YGIZKnQ+ysBnufE739dJBc8UoFnIMeuS73qe42j0rPpNKTgx/6oMUyPrRdn2t9Mzu79Fe7GXejtzcU6RqB6PtUfnb9V6GRustc8xMUl16ZXvLlb96ttvw2k0KiLMsvn1CDC6VjfiiTA4dA2ZTAOkl5yAEl3dr0RbFHROGklCa1GYSS6qK84h/1gDKmdLuuKX2N3ELKcSjs/lSA+MWnKvjbRxRBw+u8qQC8cklathxdZx5SJcJclyPv5Rnzlx30WCwWS9eAbX3XRs1MAtwXLMRpQ7XNU4XY2QiLq3S0+JGqGhDwB0nL3cBIY8Z+H1d5FLq3KP9d4wlAsUFhI8lPp9l5cNhasqOQYNPNRlQ6HIk2cZf4oEjpHHLGtngpxSFS1A55DJOeLWUce38RhxcZBt6pzooi85n0GWVSiuoksiPMpQm1PJG+uxwoPXnUZxIIdkp1BzHFduhbftyQqoClQxgKVcrggGtkoktYNGRPzOH+a0Y7+Sv5Sf3+kJyqp+jMjrKyStyHGP/FwWxsBhT8bkZ/0yFIENTAilmKTsqdMtzrhcL7xWSkj5BguWHnXnVARZzkIXVUskQn1h2Stnzc6MujChRvcUPMK96ONjvBHNxVqBVIfU7MPWogJUf9NIc1HGhI7MWieuVDLvBW/iimys/u8/kwnW/KjagV12y5OZHr6nfC5Hau5slf0U2eUY/zDxOA9tQhhVcu9TWyvEd+Qyk2Me7OjVzlQQUSXG7nJbXjuI77bDnaHy+6VMmR+UMS0Cu3EPh0Qh7mIE9VzQKDoeDFtPC8MJ4p18RzEOaK8Valqeuq62xlsVgsFksXQMYJeWr0TuSSSy7BjTfemNnAiJX9j7g0uPFwCFXJNoRUA1spjUlcGnLOHbKzI40T75UrSTMQSZFbPTZoDz/8MG644YZU495e40pp9JKDjYi6l8/xtTY264K6rLtL7mkWlPHAAw/g29/+dpZcpb6ychZaBjzSgeBW1JWIStdE9JX7wmqLYWnNOQBUNwdJyYYyfvGLX+Cmm27KkpsLBkfpLCbC+xkm1fGtdN2lc8BVNvEnIengxkIGlHHffffhe9/7Xra+yg8jQa4pV9q04TXVYWJHTZ7T6aufbQ/K+OlPf4of/OAHarBWiL4cT4c4yE7wFTDJXaIbn2Gsq9UBuUfpKy4J6TibUPr51a9+hf/93//NkFeI/O3logsvwi3fu0XJYuFRR4aQOjGsknY8cte1sAyCEqJTWDqrEScqyss94YjSS8c740I6cjJA4kCIWzXrLdMzdaBOd955J2677baseA5Jx5MDiaSbV1WHnz6ofC1SxJ3n8pCSp2WzLOveqlcWbfrc9Utk3HP3Xbj1h7eqAQ1XitLxyw6vKZfaneFKSmdc/f4PpC6RAR/zkyS1YNKS+ZvpLfrKgITbLnPkRL+M3xs2bMD06dNxOre4VvErt7j+M5/qv9SD/nAAJOGVa9pd109h0ZsrhzpPmTDnZ+vWrXj99ddx/vnnq841ZdJ4w+ZHveIl9ScPEakzRZgYiQNJCA4+E2KYFkSlg+BNP9La2ornnnsOF110UUou0feJPmogxekJqRPkmkoJuYV1d6VEbizCmovnjEvGAw+0mxUuLZ/1qJrYcV9eTcig9Im/P4FLL7kU8TjvlUdy6GngRIm6R4WNMSv5PCFhlDxMSbr+YJ4TGEiGx6cv4/Pxxx/HFVdcEaCvuU/HFr1QZww7LXIPr6nrclGJU3cWxtNPP63KEuX4w2WxWCyWjqNb3y4AZ/LY0BBW9Ooo/zi+YYehSs3uV+gVDumIslPC2dOwuLFRk5ZBuenGxWs0KT/laOyEM3lGrsF73Q+lmu2f2dipX0znaxQMjwqTbqD4V4Umh1yvvgZep3f6WfqlZzfD0jFgx9QJsbPGzoE8p8Qw+ZQli2Ll5kLpJ52QCOLSYWHnTFIj1YgzjAyPGDllR7JYuekYoxdac0J3pjslEnWmOsPF66tnXtN4r3uhKwc8tFWLYRiciDwfZrzLuTzHDjl15m3Ul/cEERSezui8hCOMNRkY8zUjEauN/OHAQvItQ80JAs7ac8UmIoMdhioZqkJSdGV6p+Ndws68rnp1HBhIGtLZxRuPwfEsRh4VX3gmAwj3uwoJixm4Mg7VK5vKPZ3GqgMpj6kgEyVLeebK1RcqKqsQl3xlOp7EXFfflogHOtr1kZ1+tTos+iZYl4gbQ6LTkvlTwiSPc6CW9OlL6LdZ8TD6M18bO/Op8kPFoc4fKidRX8Yt41MpRf+zB4/5oNxKfvMkskyH2MjNRUTkKn3Ud4+UxnBIvSJufJL5mQNalT94n34shZFFuab8Gpk6PyvPxXCwQ1fKYBzyhIMdunFQzXvc59Qf5hXaGF9019dYl6gypdI/hAr1nRXzrnpKkU/nsOhDHfm6MdsJytG5jnmZE0ZMe6aJDmdKrODVy9RXJp6Nexo+z7KhjfKLxk1nbeVzwWGln8ZfY6dhGhs55mjus1gsFst2IJVpl+A73/mO2pWGJh7nTmXcU6e8UNa3v/1tZafMzoJyb7jhBmXvbLnXXXedshcqN7WzEf+4mwbpPbU8Tu5Nej+kbCj3G9/4hrJ3tr7cxYsUKtfdx0zrJKTV5r5L4o+yUlnuxJSbr3/960o+DTHHcnPppZe6No03DOWC/l922WXKnhXPjCo5cLcuE5l6DysvqVyWaWO4eWJMBlov7g5HOitfUSZ3aXvkkUeU3cSt115KvP6vXbvW+fWvf50hy2vPD3O2jiN1u/uIdhU/6KDcpRS7da/xe8uWLc4DDzyQOjfXSllH0y8a4z/tLS0tzr333ps6N/LMPUEoFZTN6Ctn6jG6Mk/xCmsq113frPDKvvPOO9U5TSwWS8kuN9ylrbNkWSwWy6cJTq91CTiDaOCqC2e6JHyuS/kwM7WUyaMx5Wbnkeu/xnM9F05CfEm/AHYWfVMFwjMbTWPWPNR1dUnHQS6fotGoOmbOCpcf/kaSdJiUjjII6DT57cWzPxRqFl/Qf9NX0zZ3ptwQqIaDisry5yvjH4+MTx6prz9uSxnXfh3ot3S+lVzivZ5Prs8Xz18NczWNcuMf8Uut/ilrSBnKYvx6oZu5rxRQjtc/U/8b+ea6sbePyWEGpZyY9KqxgX564Tn1NXIY50Z2OTG6FaafxWKxWIqhdC1WCTAVPRv2cjcuhPKMnM6QZ9i55Hrvo106lNJx0C//8NT7GlNwQ70z6UsN1J3yrIInYvTghpqbV3HEb/dyEOwgeeV77eWEZcd0zswgpNxQN4NXX21R/3VFIxbHPVffoMm9euCsXBTMWTzT7kL6UhZKhKteltwy45Vn7KWMa6OH13+v3dsBzyc3HRtmwKLv5aubtIUhg+JU7qZfvKoJqofLra8f6mmgvEJkKp/UN2K06fupoc5ZfMWNgx6Bp2K8ce09EtoZDzTlxiu3UF0tFovFUhhdasDDCp6VvuksehuA7cU0IH5jGnUjr9QNm1+eMTtKrpn9L1QuM4jqEDEp2FsVFzbDqaaY3/XITepjf/nnl2dMsXKLxS/PGH88054P6qpUVWfyN+TqLijNOcDLOM8v14v/vBxQLvVkGTJxXMq49uroNUHpy/OU5CS/aFExCr3FOjOMPKv+8QIjVe5QA2j9nI4t+cv75MDvaZSfHnsuueXC+E1ZxMgz56XEyDIyaMzKgz8cOXHv47BGxTkHmhK7+q/gDjx5Td3p8c5fD1OmyUvegUgp8epDuz99vfk6CFcL9y/9EpvomNKXf9044WYVtBn/TJwaPSmbUKaJi1JBGbmMxWKxWEpPlxnwsKJng+JvfEqFaTC9hrADYRpvyvS/urG9dCW5NOb1DNK+XKaBNipV3P4DOxWcJVUnjn7FhvDOIJk0xcktniCZNP54NvZgqIHucHOcozWl8bz2wyIjFqUrTYBMGsoxdtK+7NJAeSxDlGfklzKujZ9+409fo7+OKeLpisp1fcJ4jSMudr1TGuNex7/Zv0v9oZHr9C5tjNzs9NVyS4fxz8ikoSwjj4b2UmPkGp1o+JoiMeftoyOQb2jqHKzzL236aeYNbTMa+HUxulKeCUs59PX66ZdpzgnPc8J7+Jw64V/RT5TX5wLrK1/QTTx6jzQsN97BlTd824uR4TcGr91isVgs20/5e2AFwgqeDYppzDqjwqcM0zk0595judhRcknRcvk7NO79qisqt7LzH3HalLvaxY3uYk/6t7TysLPoq4Z2XGWQR9i15D5bnBUOJ+UswZniChUHphuUTwMjl3SGrgbKMqazyBXP3hDwqjo38ZLk60UJ8Gsn5i39W0sxdcwc8OhVN+2X5Dl11DDP7Yh8pXTzyPGflwPqGSQjr1xekzLMrdSZZ+NynhR/9K6LMtjkFtBqdU1HNcnln9ed9rxytxO/30aet0zlhPmI+sqtHEzL0zLm4dbrdI+IumptVg0CvRi/vUdvOMqpr8VisVjKS5cZ8Fi6KJEknnnqKey7z4H4z9tTEGNfgKalEdd842s4/fNfVr1V/iZRiFt1q4d2XqjBG6++is8ccDD+9uSLquOtvtuJNeEH3/8+jjntc2htk86T9H0K6Xt92kl1EaWmSa0lsOMYTuC96VNx7BFH4+HfPqbiWV9N4sEHfomjjj4VLW0JSQ2JZMa1XNHRnfLRUgDMow2fLMDZJ4zD9394h/p5UPXbQslm/O3P/4u9Dj4GK1atM5G708MfHV21YgkuPP1EfP26b6ON2SXMTbFb8fLzT2Hkfodj3oIGGUPz1U+bmywWi+XTgh3wWPIgvaBYK+bMnoP5C5di1OjRuocgztGmLXj2mafRra6PzkXi5rjrITsvokQiijlz5mDOvAXYc6+96SLOjIdm/Pvf/0KkphZVVfzhV8f9PRVLIXB1QeUNribwt0oSbVjasAgz3vsQI3cfySv6mtz5z388gbZYAuGIu1OWxHUqpm2UFwV3UVy9cjnenTYDAwYNcVc85I/E/3PPPIW1m5vRrXvdLhOvkVAS69euxtTJU9G73wCllvpsScr1888+g+Ubt6FHj15SZYXUj5TuImpbLBaLpR3sgMeSB+kOtDVj7tx56DlgKIYO6ecOaMLYsGYFNqxfjxNPPi318S/3RdrpuxDSMfp44QJU9xmAvfYaldJ32/o1WLlyGY45/rNaS/UnwT+8wZITHYMp1KlUO04UC+bPRyzcA8ccfWQqntHUhIULFuCoY45VM/Dq9SJafNhYLwSJJYnn5cuXYmOLg5NPOgWVEpVqHdaJY9rUaTj8yKNRUVWt8/OugOi7cd1arNsWxRlnnqnyico+IQdvvvkmDjjkcNR0665fhczOVhaLxWLZRbEDHktupLcQbdqKae/NwMFHHw/1S0l8DT4cwoTXX0N1RQijho/S32BI5yHZ1sY7dmJE4eZtmDptOvY48HDRD1pnJ4Ip776LWDSBvUbvoXakg8RBKJT60sSSAxM7YSep7ObbJ3ZMJ058C0PG7I9ePap0PIfCWDhvHjZtbMTuu49Gife1+HTitOL1119HzdB9MHTIIEQSjvp2p2n9JjQsW4u99xqDGsnofB1150dymNOGN954HbFeIzFy2DD0UO4JJJpbMffjJRg7Zgy613VHiJtdqGsWi8Vi+TTQ5et8dpK8xrJ9SDdd/dOw+ymG73ywryAmGo/imef+jeeefQovPfccnn3pdSxZsgwD6qvw0gsvinkezz/3Ep585lXU1vXB/Lkf4KkXJ2JbWwzhKvZQS5dKJUlzpaq3M6d9ddwOeDyexAsvvCD6PoMXxDz/4uuYP38hhvTpjldefAXPPiPucv2v/3oGPWp7YNnCj/GPZ97Gxm36h0V3fkws65j2nqVdSeZZUTBjJeN44z8vqXh+5vkX8NoLr2LW+3PRv1c9Xnv+Obz43LN4/oWX8ej//ROV3SrRuH4Fnnz6ZayTwQ+n4pmCSrq72qP/cjODYsNk9NDPec/SriTzrFCy/XDLmM+vzPsKQ+uczx+xSb5+Z9Lb6nW1F557RuL2Fbzx1iQM7N0Db772guTp5/CclOH/99gTEq1hRLesw1PPvYolK9e7fnQtsnU2Kc445exLEtPefVe9Xvv8c0/hP8+9jBdeeQ19+3bD5LdeU2X6ueefxaOP/4t3w2lZJ2X8FSxoWOn6bbFYLJZPBU4X4ZZbbnGSyaR7loYufpNF3ov5uemmmwLllpsbb7xxh8i94ZvfcpyEWJTouJio2GMpt81bNzo9e1c5fXrVOP3q652ePbqzu+l0717n9Onby+nVs5fTt2c/p0dFyImEK5zqnsOcHiPGOgtWb3CSiWbxhB5lc+211+ZNX4XnsnH3OPlOCuNrX/9a+jEln+ETk6TujrNtW7MzoF8/p0/PWqdfzx5O79o6J4Kw0626u1Pft7fERb3Tr1edU1MJpyJS4XSvG+REBu7lTP94qfjRJj4EB+qqq67aIel7xRVXFCnXxElS2YKM/uvGWw6uvPLK3HKTCSfe2ugctO9IyT81Tm3v3nLs7oQlnqur+zh9ekve6iVx36uPU13TTX0c1b2uzqnoOcR59e0ZJni+ENAWdb569fhO13fZsmXOn/70J/csk8ynaJN8pvIa7Wnf07Lax+i3ZvVq539+91u6qPMMf3gP5UhZPun4o6WMdhfTQ/J1vVMRhtOtMuT0lXzcu1et06tPrdNDynMIlU5Nj95OpH6488cnXlS1gfY5k82bNzsPPfSQe1Y+/OnY3Nzs3H/fvWLT7vyboJrqTOoslr9E1PnC+ec5vet7iH7dROc6pzICJ1INp3fvWqUvj91re8o4qVKO3Z2q+qHOQ7/7Pyfu+mXkmmM8Hnfuvvtude4PU7m5/fbbs8JjsVgslu1np1nV52ycMZbtIfM9IeldIhniVq0JIN6MSNtWRGJRxKJJtCZCaG1uRqgihOZIdzTxjbVYG8ItG9Aad+BUViLO7V4TMYSi/K2LGrmhuCyVK01Llc5hR8KlVnOSomdI/nJLWoYxgmSsBaFEI9ratiCeSCCq9G2USw7aqurQHJO4aYsiLG6tMSARqUDMSaAiGYfTGgeSVeLPrpAjdSr4NdGurq2jHzwk5X8iKXEXwqrVa9WOwdzpPLatmTkPbeFuErcRxGMSp1FJB25WEJZ4FXnS5UM02qZE0zDV+GqcWjFS6SijUF9+LgzqUh59034Y5Ex/ROKatE2flQjxLOn+UGbjtkaVn7n60da8VX2cH63uieZolcR9GIm2bYhJnuYvAMQjUi64PXVrC7N9acNUEiREqbRgALmyQ2uF6CtpL+fNLZuQSLRJeZb6qGmb2CWPVfREAt3FTfSLbkO0eYuq+qKhWsk+YbRIvIRDUm/RT4vFYrHs8uw0A568sD00xtIObodBobqQEm3yj3FXEUFtr76YPn0W3p8zGx99OBP9B/TCwYcdhVffmIhZs97HB3Nm4q47bpX+RiWuu+Hb+GDWVLz75qsYNriv8nG78KVf+pSdEnZ2OtI5yZEpxDksA5jutbWYNXMm5syeiQ8/mIM9Rg/HmH3H4rmXJ2DmzFn48P1Z+NVD98OR3uEll4/H+zNnYPqkCdh/n1G7SFeJXb50t8/EVlasqQzSgepCHgvJYIc/4jh9xmzMmTUL896fgWOPPgy7DR+Ov/3jCcyc8wFmz56Nvz/+RyTD1Tj9rPMxc/p0fPDeVBw77lDxJKFyrcq5KmAS2g5Hfpn1FdJ+0Wb88UqgdGNKQ1IGgdzVjoPBfz/5b8ycMQMz33sPX7zwC+jdpy8e/v1jmPH++5j13nS88fzT6F7XC4cceQymTp0qeXoqLvjc2aUMTmnxRp17wkFcOCLxKsf//eOfJF/NxuxZM3Dt17+Guto63P3A7zB52kyJg+mYOuFF9O3fD3vtfyAmT5kscfAuvnrVZfJoV1XYYrFYLKWmYy26ZafFCcfESNdR9Rv4shoNL/BPheSIGowasz9GjBqG2poE1qxrxO6jx+KA/Udj9O67YeiI3fDxwnkIVdfjqHHHYM+RQ7D3qKGorHCks1r6DkS6r9Mxv7nBADu4IcnqzOxcF+A6D7vP/IYB4W4YOWpPjBg5HL3qu6FhyRoMH7k3xh6wL8aIvsNGDsOihgagsjuOOvo47CXxsv+ew1EVkec5Jb6To5JeW13S8aPyxHaqqFZn5F9E4nq3EbtLvhqF3QbU46N5izBoyAh85uADMFzyz8g9RmLtquUishIHHnIUxuw5GntJ/Nd1Y9rFVTC4fqFX53Su6Mj4l49kPlZafdP5lejBFX0Pkhvkmg99NyVkSiFh5mW6y0BtyLBhagv5YSNG4IMP5qL/wN2w/0GHYOTugzFqj6Fo27AGbckI9tjnQOy/1xjsLW71tZW6CuhiZAZJ9HNXeyKqrpGYDVWif//dMGJ30XfUEHwgg7pevfrh4EMOlzw1ROJhDzhbN6I1HsawPfbGAfvujjGjB6OnlHX1I8IBcWmxWCyWXY8uP+Bhc2SbpFKhOwnq9S5zqo5ikUhOSmeCr7cl+GMd4QSmTXlTupo1GDF8FHpW6ZfhnHgMH3y8EFXdanDE4YepHZ/YB9GdulLuWkZ/vEZ3HotFPa1m62nhGUPKX2GXsIq76kCrzqKDDz+YjaYosId0nvr1oES5N+lgzvxFonwVDj/0UDnnj2FqP9UPkqqznZdyh54xFGL8JiW+VcQlsGxZA1Zv3IbBQ0dgqAx+VCWUiOGjDz+SYxLjjj1GbpU0U+kmRtLNpLzKt+rEhLw4DcqeWmrQpKXwr5FXDrlu7CiTTErMmPjie4MSU9s2bcSipSvRp08/7CuDARXPoSTem/0+WqJRnHTSyYjE+KyEj49yIqRLomPS6EoTj0tBpUWVX/1aoxNtwkcLG9C3/wAcsOdubuPm4L1ZH2FLUwwnnnwyqh15TrzjClFy53mj22KxWCzbyU5a40trxXf5fZSjU5ENZXOXLy2Nf43JJtg1Hzn9UfLSVzPPioEddf71vNChtqTltxPSmY+24cVnn8Xz/34W/3rqeYQrw2jcsh4vPv08nnvmGfz9H//C8tVrUSmdo+lTJ+OZ55/DE0+9gObWJCJOhfijeiGF4wYiUx/3LNV51K8g0RRLhq6qQ8gsXyEqSydJfVDSihefexrPU7cn/iWXHWxr3IAXn3le/VDhE6Lv/E8WqxnlhR/PxbPPPoe/PfkctmxrQ8hhR6tIfbsoGa/3dCSi86C9S+LNl1/Ei089jb/+3z8Ql152VAbPz73wosT9U3j26acxc877Ev8xrF6+GP+W+P/rP5/D6vWNEsUVarDN3KV/60mQtFTbg3eQEqvogT5n+s6zVFBT5VjnTM+VAvDfn5bDQWVSBueMl0kTJ+L5p5/CX//6OFokjuPxNrz9ouTnp5+ReH4Rb0yfJfm+Bdu2rJH8/Az+8e+XsHTFenmUdWraz44jfrh6mnqSdMxnr84c9GhfItyVQA1YEpj2ruj71L/w58f+gk3NbWiNxTDljVfwEncE/PdTeHXyTPXDwYnWbXjm6efwr38/j4YlqxDp0CuyQWhdtc5pfKcWi8Vi2ZGorQu6ALl2acuG9yTkQJO+n7v3pHdHKpzid2nz7LYkz/FR45LpC89yhyjXLm05/VE7MGn/EolEO77n5vrrr3f90X5wZya9O1Or/NnmNK1b7gys7e7079ndqZY+BSIVTre6eqdXr3qnb89eTr+etU51BZxQRZVT26e3U9+vl9Nrt32cRcu35A1Qrl3ajLJGH713VsJJxLl7nLjIM/FYTLnm2kUqH9/46teUH9TW6KqCqcS0Om2Nq52BvSud/r26OTVVES74ON3rap3ePUVntXtYndMtIu4SD7W9+ji9e/VzuvUb5cyZv8JJShBzBWhn2aXNlBvGT4LPqTjXLkq5Ar3KtUubju+EE49vdg7YfYQzuL6HU99NfR7vVNX2cmr6DnJ69ezp9K+vduq4d4b0aHv07Ov06D3ICfUa6bzy9izxRMKiAiq+cUdB8ZWhY/Rf9dWvFq0vd+fSuZ/wWJy++XZpS+/Ipv+aM+0t/acOIl10KTTYRr/Va9Y4v/3d/3iCSJs+49846wXx/5QTjpH4rHL61kj5DYecym41zkDurljX1+nTs7dTVSM9fcnndVKmGfeVvUY4//v3F8ST4Aydb5e2dAgMPBONlZ56lzNl6JrtdQb+dOQubffe/3OP/yb9ldfKv6SE+fOfO0X0jTj9aipEr0onXN3D6dO7lyq7/XrXO92rq/hOpdOjVy8p1/2dqvphzoO/e0we5i6LjDMtwRzjeXZp41m2C/XVaWpISOB0LigOu0ubxWKxlIedeE1fz6qJDnpHolB6HrDsiExpjBBi78x16hxEnshWcjsqmLOaKqJ0bPEvjc4KFeqVNv4onzTenDwFItWorKpBhcisDkURbW1Bm7h361Er4ZCRTzKE7lXSe0rq3bQ6il+dcDgi8pN870TGGhIuUbhDKrth0lszpPVNUD+1Ox1/8lL0ULtaiQlXi7xuqIiE0S2cQKytBa3iXNWjTt8vgaiW/no83qKXHLZD5y6Bw33rdPyEJY2VQupIV9rlsB2EpJxI1w0xpwqNrTERJ2kaYzyH1S/8cxe9ysowYnGJa7nUo6YaVZUUmlAbHcRifHXJDYsKk1lVU312ZlyxFw4XM2lYDFpbW9XjerG4NPoaTKhS3jEemOd4hfEr+Vt/X1YauLgTljjlt2otzS0qLXW1WInq6h6IcwU3ImVUyqmM81EpbghXqc04QpLPZeAgvrAslCgCVB4ydVVay+3Tl34ynVh+tYgQyySzE/WN87VJBzVSN/GHkNWblBLniWgUEclroUil2tihIhKSct0qN5RwhVaFReuakMCZOrpU6WuxWCyW7UO3HjsLbD1MC8LWTh30DlCEjX7ZcWVQriHg7brSo+Rp4UZ2x+TqgYP5KoIZgN//hrnFr1OJmp59MfHdyXjkkd9jYN+eOPKYkzBl6kxMnTIFUydOwNVfvUo6+rV49bXXMX3qdEybMg2vvvhvDB3aRzpwHRyUpPA8Twt7LNRV7N74LgazaQH90HqKX3IS4aBORmhV3XriXdHvr3/5K4YNGYi99j9Uzudg6uQpmDbpDXzn298SfbvhyX8/g/dmvIdpU6finbdew95jRojfnZHw5UUNcpiRpHemO2gh6fwyhlSUKaOhrXh9w2H+OKh0wyM1eP2tiXj2uacxdt9h6D1wCCZJ3pkpeW3G1Em46+57kAx3w6//5xFMmzYNM959B9Mnv4Fjj9K7tDEJOVJRS0CSiioNJTw6pMUgGoq+fK5bt25aZ8lnRte0b7R1IH0DsimdKC/EkZbbC+6g74JXAH2hEVdxTkgFyC/0/u9vf8OE/7yGcUceIvm8O956eyqmzZiOqdPfwu9//yt0q+qBH/74LnGbjelTpkpcv4lzzzlV+VNK2Pk3EzQdR+unYoszKu4cXaRCX+F3OL/59e/x1psTcfrpx6pBzX8mvKny0FTJQ//3+GMyiK7Ftd/8DmbMmoPJ77wp+r6FKy7/isQX0317wubBfZ2QqPZIrDwtke8Wi8Vi2U52rgGPD9OgJpIJaW/Y4KSbx7LhacG4yqNXelyHcuMKSnUkOpx62h/XN234nx5WVGKPPUejrY3v+G/FeZ//Ikap3Z1GY+jwwVi1ajXqB43EoYeMxR6jhmPP3ffAPnuORGVYOqUl2bTAfd7EqWfZqCM+Zz9DF73xgJrhFTNi9zHgb8U0bt6Es867CKNGD8ZI0Xe3UcOwZt1aVPcegOOOOwa7j9wNo/cYpfTtVsGuEnXuSKi6Eux2iw4SzfwdF2rDvpvr6qJc3WPatX30cyYFR0rcRSpC2LB+HY4/9XTsuecw7DmCO+ENwdatW5Go6IXTzvo8Ro0cib1Gj8T+o3dDbTWf5m8o6dxlBgnazw50V9UsgUcPKVO59c10LQbvU3pQ5vrHpQkXuhbrux7wubDO88ABFZ12Gz4MNTU1Es/rccgRx2KfA0Zh1KhREv/D0NraiOa2JM4493yMlHgfPXo09h09HD17VKsQlpJQWAYUbhjVURKr2PTi03oahCb9NLddoTurxEGDd0PvXr2xfv0q7Ln3/jjwwL2wx8gRqrwyvRubYzj38xdh2G6DJM+Nwt6jZcDds7sMsD1xub0wIK6ubBNK57HFYrFYSsHOO+CRxoUzh5dcegmOOuoo3HfffYjzlYZyIw0ZG7Svfe1rOOKII3D33Xcj1kly+TrQddddp+T+6Ec/kkEJX0MpjpBTISakXumRoaLqNvAHOdmX4A9BRtAsF9qwcuV6bG2twmlnn6I7QtI5iLfF8O70OTjs0KPAfijX1fjdfgKVCCUjiCQ5894R2DswJpMf33qryDsCN3zrO2jc1uK6Fk6E+YQasD8iht1vtR0tX4MReSFwm6pWrFqzBhsbozjnvDO0voyguIN3pszA/gcciO7csZsDHCkxcdE15FQizPdmdnqoZxy/eughHH74Ebj00suxdv3GjBSh0RTbJWb88IOvECK0xpqwccNGrNzQJgPLc7RvzESJON56420M2WNfdK+tUWmjV51kAMZ0kDg3klWaqWviKHmZqz1FEZP0lucf/9OfceQRR+Kii76IZctXZuia1jdtKwavPzqHiI2vs8nh30/+S+qrcTjv/Iux8JNV6mopUAsMcmRR5p/NmzZi2bJlOPb0U9SwXCotSecKTJjwLqqGjsTgwb2l1IpbIoqwxKPetN3EcgmQAMWiUdx1112Srw7HNddcK9ksPdgrDiol4eOPI9MoF8kJMgpOUK9IDJs2rcXC+UtxwmnnIipOYbqHknjr7UmI9RqG4SOG8oVdSQPqKTWdOzgpGRJEtj+//OUvceSRR+KSSy6RrKa3U7dYLBbLjqfI3kL5MDOBWdA56JI06nxm7tx56lWjlStX0lFfK4KOvG7BZ+bOnYv33nsPK1asyB32PBQt15Uxb948TJ8+HculM6O+h+gI9ErE669aNGohhUY6EbE2bl37AXrU12HP4f3Um/28uHJDE1asXIVTjj9czsUTPWriWEj04WoJs1PaTy859VXO5vsa/S+Ng4/mz8WM96Zj6ZLF7jcQxWL80/FH6BJmoInEK6N25pwPUVHVDWP33l3rGw5j49YoFjUswQnjDmX3KqVDhaiqfKPOaW93UkSnSET0XIyZs97D4sUNiLa1qjhKG2PrQHWhRpkcWEpEVVRg9kfz0Sp57ISjDke1ui5+RkOY/eFcHHn4/qiSKOXvSVJWhN9xqXyvB9K5c1cRVOrvVBYvXaLK0fz589DS0qz8TRtj64C+bii9/ikqRK7ERcOSZZgxYwbmz/0Q0ZZt6euF4tYDOv+lY4QDypQ8qRYWLVmJLU1JnH3K8epTMx2uKkyaPA2fOWAv1FVz4kNuVK8DM33kjjx1UtH1lVu+li5dqurJjz78UJ3nI0hGuj7gMa0vq54KOa2gHInXlWs2Yt3mKM44+Th0U7dRr2548ZUJOEDKdH11pcSD3Ct5inEXEVnMk8Z3PyYs7eut5dPwu8NVq1apfPXR3I/kmk6rYilctsVisVgKhU1Dl0B9cCsVPAcPgQMIn5O6R+6/6TvfwS8f+CUuuOAC7Yd73Y/xk0eu0Bg5lGkaFuPWHrz/hhtuwAMPPICLL7pId8xy4fpXCrlsXLnC8+CDD+Irl1wi/UfdlQnC+MdjhlymuJvqjjTSXO1R/QP3POFUSS+iB879/AV46OGfo4dEvLjIDdIBre2Ln933M1x4zonuE3rmXnmnTnX6kSy5OfTlXxp2P/Q/D9KZuXz8lRKOB3HV+CvQvVt15nUPKf/k6JXLgUuqYyjnIRrep/4JkSokw1U4+fSz/n977wJYRXH2/39zBQLhFi4avHAUhdoatUBtCaUa8QXpC6gFaiVSifjWSwW0lfp/BWxBf1WsCrQibSEKBOTihaByqRotJbxVqEJsLVH0UC2pIilqKpCTy/6fZ2bnnD179pyckxshPp9kzs7Mzs4zt92dZ2d2Fgt//Wv0oN5SqjqW8pLWBffeex8Krr3aThnHpf45qyp9WqqHXBunvTUw5xHjTos3uts3/qqrVLu67bZb0aNHt2Cb0DExtsuOjuN15je6XNpH/rw4Ab8Uz1/3f2jhYpzek0cYgFqqm0BaN/zk//tf3H5LPtKN4GS7m67qLkUdzzbeyaMZJEH9seKaaH65PYy6YgweevghzJp1J/r0zoqeX8LEyVuTZy+UfPs4jk+n1z6Wn02kpGJE3kh1vZr9vz9D9ik9HfIahsNy/z50jJal0kPp4gUi1D4quwEDv4r7H3oYgwf5kEb+dZRnK6UTbr3tNsz/6Y+RyS/xJ/GwJV27qPx0nKGYmwxVEl+frrnmGtWups+YrtpIQ7XjLtvwawLbqFQpCJ/HFFjlmz8+euppZ2P+ggfx7aFfQxp7q7xlYOqNN+GXs2ciK7OLjon/yXDdsAIUipv9na5EoONIJrfV8ePHq/zeQfclfk8wGqqteBhuX27YXxAEQWgidDFtE/Cy1Axd8NWWUdYIwz+84GedVaeWdg0tOdyYZUAbsyx1Xa2Wq2TToTo1OnkhTDq9SXhZajJ6KVuSaS9LHXl0w/z4xz+Oml8Tt4rfEcbYAwFetrZx3HzzzZ5y2Sfcl12UX3t5ZJMmPjR6aUbnf/7nfzzlOqmpqVEyDO78NnS8F2ZZauexjYknUdzLUjco01HOypAXlwSb8CPNHu/4oi+HTX4sg46tqwnQuaOXFWZMjGxq7GV8vWOPTuLLf1Ne7TZey+cx+Zh0hMfi7cvwstRPPPGE7QrByeDQ3vGw3NpgO+Ow8eTX1Avz8ccfW0t/+zstw3Gg2V+v6lJfCesC1bTh64WWx4RkNyQ1nCNHjgSXpXamhzdsC4+NXZwOnTsOy3J5yXNeXTw8bCTOtKllqR94UMthb7PLttdT/VGjUvk0y30H95GprWX5nG/7mCi4y4PbRfzLUhPG0w7PRuWX7SpA/Nxzzz22LYQ7DYIgCELi6IeQbQxKlzL8wC30bItttoufvvMTNZ6ewOHoT2WE/NjfHN+QceL0c4ZxGvohw3KTlZufCLofCobCsoMz4BGPA6efsiubw1/Fow2/BMywfCa42w7bkGG8nobzlm6qys5xh+IPHcP709R0oPjlGcNEk6ttDn/2UJ70o8pXG/MoVu22wzZknDj9nGHY8JNok0c2bGd/zi9vvY6JZk40XHcm/WycdrehH72lMKqMbdjLEArLDm2MX3AfYY53+pmths5RKmc+Z7mMg+HUcI2FFDU1iYIpZ3j80YyKNYpcL0M/Kn7+4ePUalrGyyYUlh3aOOMwJry87GPsLIT52XEYuH5U/lXE2s+EdRrjHwnvD1rDwqo0qRExXdbkQTbdrt0YOV7GYNzOvDrtKgE2wWPZi697Nuxnrif2JhjWbRgTf8gdMipqJUKHV9dDyi83IYpd76MfUg/Yg+Tpts/Bgsd6GCcqXhJmjPELwXZHmtU+Y0LwqKY62g4XjzG47eFlLgiCIDQG+xbUdnDfbPhGov/0LcUYChm6GfANgzuqjr1uTHzOuN03GibWDUaH1EUWioM7E1quTqWLOOSyv1NueJJ03E5Pc7zyCQsbwsQVTa7xd8plzH7G6c92oxDEwhzDW2NvSK5DJMEOMvY+xoQ3u7wwcZn4mVhynf4Go+yZPPLWHBcNs98ZzsR9IqitrQ3m0aTHbN1wKlWn0U4vH8dWEzo8G7bDEaczv6bMjL9JQ10dd+7ZrePjWLiMVRmpMLpzqOxqL5tIjCwTPxNLrhcqdtd+dtO/bddbNyZu53FuuzK2OzIe7WGOUVsTJopMZ77C4PTTQcrb3mXk11PPn43awVPYaMsv9fM+Z74j4nSgyyNkvAiLh8M4wrFNG13nXNd1/F0a9uM8RYmT8ZYbcrM4bfhHe/CCGPxtHWNXWed9nALbro+PbtxynVuWFVZe5jCboJPCGG/Or7p22G4vnPE67cFPLDjq36RHEARBaDxtRuHhi3ogEFAfA+RtdXU1jrG9pkaZGg/DYTgs27mj597vNBzOGHMcH6M/bhgKx/vYOP3CjDo+FAevxBPa5whnu2PJNWk2+5RcdxzG1FI42m/Kh+XWKtk6/25jZJq4eeuU69zHxpkWI+PYsWPKzvt5y2FMuGjGxGvi5m0suVHzS2Xszq/e17z5NWHZbvJq9vGW3exv5LiNidfEzVs+zquTYjo1LQmPSjnT4syfp6F9AaoDU7/sp863gFc9h/LqjJuP41Ey3jr3sWGFh+M3/mafidOE0/uin3fu43nL/tHkuo83httU0M7HmPYUkV/2p/jseE3cvI87tOZ6ZeQpO5nI9mzHz+3ZEcdxPsa532WCdUHHGGMUh1pO1zF9Xpg4ecvHmLLgc5fPGT7GGca0cbc8Y4xcp5233HadxxtjwroNhzVynfG4w8UyHJ5HaWpqQ3KDW2orXxw7qsqc7ao8qQ65rfGxHMaZb3fcTuNOl5abrLYsz8TDxhnOaUx+2c7HueN0GxOfOc5pjAIUVekVBEEQEiaJbtxt4vHRVVddhZkzZ6obDKOeDPIF377Wh13yHSnmm4Ea3bFvCrEy47yRcPzp6en49a9/jR//+Mfq5hN88kxELRbyV+GU1Q5LooPpsw8zbnZ6yeUXW2fMmOEhV20IbQnlip8g8hNHraPqaRsUr3IFDwrDKZe3HTp0UMum8gu1XM7R8sth2e3ecngTlzO8G97Pxin3wQcfxJ133ukhV20IbTH50XKT1QgEx2P2JpJfLucHHngAd911V4RcDsPKkDM/zi37m/w6j/OCwzMmLCsdK1asQGFhoXK3JvzS9E9+8hPV4XXnyxuqVzUawHXBvxSWfzlL6hB9XKjcyUY7TRnxlsuZlx+eO3eukussL178QVuobFJCo2cGnTYdD8cfDO8Bh3HL/eUvf4m7777bQ67eulFiCN6tZSuL7Rn8CeaXSk/ZdPr09pNPPlErrY0dO1Z1UJ2EonDFQ3LUuUvHq/TbadUtWod1Y2RyeG6rnx45gj/9aTsmTpigHgZxfHwkh1PKEMXJYbkcOF4e7NG1qdsAh+F4opUNw+F0WvWW4/riiy+wdetWTJ48WZWz2c/EExfHodJnH9MQJhwrBk8//RSmTr2e5Or7AueI4esff3eIt7xoDCvWnOcktXKkbh8mbUF7hHh1RDA/zu2aNWtw44034ujRo8rPtDkTZzTc8USD97thP75uPPHEE0qRN/EIgiAITafNKDy33347Zs+erexhNwzeKl+N8/Kv7BxEuTQqrMc9wmTTeSPiG/G8efOU3Ja6sUSTe8899yjT2nI5r5xnxuxrzjREk/u///u/qlPMtKbcWbNm4f7771fulpTrhOWy0sEKj6E5ZcaioKBAfZPKWQ5Mc8mPll8+fx966CHlDivnMAWGjo1IBsfnjJMDRKY1mtyf/vSnKr9MmNxmxBkn2w8dOoTS0lJcffXVwX0mfS0p+wgpPH/YukWtfMaqmJq2FlZ0lA5tUb8M+ySaImeeeMsKz4YNG3D99dcrP/d+k76mYuIzdlZ4Vqx4ghSPaTq/luP9NBXMyA3JJ9VE5Tl+OD76deSHlZulS5fi5ptv1iHsfQaTxpaA23JLXq8EQRC+tNAFtU1AHdPgajR1UVYTYpcxYUTdEU5EfOTmVdqMvdax+lpz4iWXV2kz9taUe9tttwVltZRcNxz/LbfcckLkmlXaWlvujTfeGLS3tDwn1113ndryOcSmNWSzDLNKG5vEy5nD8Tmvz/t44fidq+G1Rv1y3LxK2+OPPx68TrHclsCdD16l7bePLbFXuousX7a5TWNwy/3ss8+shx9+OJhfs21OWKYxxn3s2DHr/gd+SfJ0fp3pMvlzm8bglMlw/ubPnx+sV/ZviTx78Ytf/ELJMvJYtjPfgiAIQuNoM+/w8FMsNnRxV09ujR+pZMruxtOXpzNEgfIatmWMTGPn6R6Ng+P0lm3EtYzc6ETLr9m2pFxjDK0hl/GS6zStJZehDovyM7JbC5NHPofYeKWtqbjjdJYxm8aVM5dR7HJqGbmxcZcdy2FYFtt5v/Fzh20qJl7G5J2nramFJqiseL9JAxO79OLHKZfh+HmKlWlP4fk1JkSkj8HblzF5MZh8pSSblf1Cx5r8tiRcv2xMfk16vGDf5kqRkcdlzfdCQRAEoXloMwqPwSg7+mJvbiN6676hB28yvEMpO9FvO+amFe3GxfLMDYbDxI+R6y2fo2oZubExMt1yjYz2JpfxkmtoSbluTDqccrzS1BKY84fh/LZEXk3emq+cOZwx0Wl+uQ0TLS6TBt5vFIGWJJh3KiMtyrssmi/n4Tjz6yXX4PQND8EuY+KDZWg5XMZawTSwzcs0BhOvM34j22tfNCJyFn9Wg3AbNrK5XcUjVxAEQWiYNqPw8IXd2WnRHTe62PMNz74BaKPvI8qoXdrf7AiFizSM28/cYFi+ucG4w4QbW1SYn5cJhYsml038chM3Irfl5UbDLae1YFmcX96a/Br/5jJe8Z2o+mXTmvXr3GdksXyDc39TjTM+Yzf5dPozxq38HMbpn4iJiNMBuzkdtiNMjroGs3dwl/E3JuTnNF5Ea7/NXcdsvGQYOc62TR7KOMOG/dl+9OMdtgFjRtKcsgVBEISm02YUHr6484WeTRh8k+HVuuwbEH+fkG+BbJTd9ucwHNa4vYyOLtQxMnbjz3A6zD5vo8Q43ByX00SGY3jrlmvsTMNyEzcMb9u0XP6jbT0Z/o6G9uMIeClcutmrcLQx+3kFJupYcKjw8Nxp0XGSME6ACpfSwvllnHYDy2HcYVsai1dD4xND2dUmLA0ho4qIjC5fsoX9qfJWvvrHUmH1PuVFdmedmilebJiWKGeG7U1vzxwPhVMvuFNnljzYpf+ozXFUHI4z7cLE4cSZBt6l9jvsHH/QzTJpy+XL/mQlQx1bZWE3/+nOtao+9ucfcvD5UF9fxx4KI9Npby7jjpNxtukgbHeEU072JhN5fY5+jTaw3cgxW8Yd1uluDuOMk2HZzvxyHdsOZdRqcLRV1yC9w863/c0h+lX1zn50TrInh1XH2vXLdq53JZf/qH75/HUqOaZtCYIgCE3Dvoq3DZw3uBCRF3v28b4FJH5jcMts3M0leoqi0TxyE6fNybW9+RbvDGGhFvVWtSpV7pZyN0/vp5DUIagjhzqG47WVIIXxtx0nKr8nEsq1ymcwq+FFQLCHMXVUfLqTFkSFp1JkT+r011H5qnLU6xx70tLlHC2+Rsu1uEVRvig4/YYuhHR8dV2NtrsbpQMjJ6Y87ugSYW3XqiG7bs9qb32tsnENqKyogPo4JuhFcEfZ4JQbd56biFuOdhsTItLH4O1rMHXplOOuX7e7OTBxRos7LD32lgLbFg27+DyCpZcpZ0VG6ct2/XLeVRgdkIz6V+1A72CLPs9aqz4FQRC+TLQphUf4EmLf29NIweHGqO77yjMZL2/dihFDL8LLO15XHYMU+rWOfYqf/PSnGHfNVBVKdyP4VxuG41H+/ET5SweVgXtkwuXUHsazDrv/XIr/+vYlKFzzDGrYmzppyTWVWPD/foHc715Dek4KUqgTZqla0DV0slJv1eLtsjcwfuRlePDR5ThOrSoVpODUVOGxxQsxJG8cjldT6ahmxZ3VxPLLqjeTZCtU5ni2vfO3v+LqUXn45a8WsUQkc+83qQYrli/Hxbn/hcOVn+qQjvpLtuNTXm1njZkvJVyTxpBWQnXM16x6unJpVfTwRxW4acIYTLtlOrUrCsIKUFIA20tewnkXDMdf//4uHauVHUMK1y/XrarmlllURRAEQRCFR2gTcHeBn7OH+gLJdUex54038X9730Hf7NO1J3UireNV6psgNSkZdlj6JcVGKzzkoo4Dd0JU/5D9vmRPS4N9pwaxQ1nVeKd8H7b/+Q2cduZZukx5KiF149avX4fPjttdeO6nqaly8cXeepgWEw8WkkmJeX//u3hlxy70PkW3qyR+Ck8d02eefRqHjnyB5OR0qFXBuO0k2H6CoZWyrcuLf1Pra3DwgwN4acdu9Oh9CocghYcKtb4aTz/1FMk9hrROnUgho04yKULBXLHFnq6pL9eJpUdoPrjkTQ2ExgT1Y5Y0OkEqD32E514uRZcefdQedbpYAWx89hn4/1mJTp27UGiqc9WuVBA7Fvbjc07qVxAEoaUwV21BOHHoeR6qS8dG/VZ/gX373kGH3mfiTN+puqFSB/HTTz7GoY8PYcRlo7mbQFAHgV8oDusoBGP5kkJlEcw8W7ik2HiUiFWL8nfKUZPWGd8YeqEuZy7KY0fh9/8D3x7+bd1xo05aLVLaZpkqhSBO6o/D//77+KK+o8qbbjX8W4eyv76F3G9+G2mp5EOZrm/EE3cz+VKpiUrpsXQspMAfOOBHVW06Lrn0MpAISjbVCSlCb7zxBoZ+6ztISe+ApBQ6RhW4E113upPt3ie0HtTO1MidUlvs+rXHZeq/wL8Pf4yKo6kYNfoKJKtTjsPX4tWSEpx3wRB07JJJx3Bo/XCG4drkmg2puFK/giAILYG+YgvCiUK9/Ms3e62yqAbJHcHj1dj9lzJ8/ZuXoAPtUJ0K6mC8uv1PSElNwdlnnUkdcO4s0BFJZiIRu83PlxQe4grmny1OozvOQTgseZWW/h8GXXQhMqiQU2k3h/jzG3/Hf744jq+ddZpy22+1OI9uYzSQMt7NijW1re1/2oFTB5yHPj0y0IG86+s7Yf/+9/DvI58h5+xzwJ/zqeOicRZl3OiRSl1eLK+OWigVMrXRV179I7r3H4Q+Pbsphaeeyv/QgX/g8Cf/xsBzz1by6ril14W/U2W6x443jYQTjK4RbiAWXb7oSkSK6/Y/7QQ6nwLfGdnqmlWfRLVcXYt33nkfg847BxldulD90g5H5XI87GSj4xQEQRBaArmDCieUoKoSOI4NRUV4chWZNU/iiSeL8e77HyAjuQZr16wjvyKsW7seqzcUo1PHjih7fQdWFBXjsy/MCxcOvmTT2MKJnffaulo88/RTWM3lXLQaT61aj7f++jY6pNdjw9PPoIj81q1dh2WFq9CxQwccePevWPbEKhwmZcB0zNomHt1FnhpWX4/niouxpmgV5XcVnl75JF7ftQuduyThmacov6sovxuK8JvfLEdaahr++c+38cSKIlT865NGNSMez+FJTnxhfWnzJqxb+TjWrF6Dp598Cjv+bxd6dU7HMxvWUnrWYN36DXh0aaG6Cn90cD9Wr3kGH/7zY3uER+dHreJFihH71FM7l07xiYRVTz19lut35x9fxlqq37WrV2PjumfwdPFz6JrZES9vfYHqtwhr6Dxa8ujvUEP6btVnH2H9+o34+9/fo6oNPaDhRxDmrOK6lRoWBEFoIaw2ws9+9jPqm9TbrtbjJz/5yQmRO3PmzBMi97bbbjshcm+55ZYIuewKKFutVfvZQat3RrrVPaOT1SWzi5XZuQvd+VOtjp26W50yu1qdu2RY3bt0sjpRfyM1OclK69LD6nTqQOvv/grLqjuuIuP46lR8Wg7//s+PfnRC8nvDDTecELlTr5+qM65EGwuXSq1VVx+wamqOW3169bS6dulsdSOT1THdSuV+XEaG1aFbDyrnLlbPzh2tjNRkKyUpyUqnekjr3st69bU36HiO05upU6eekPxOm0blrPIXKbu+nvzra61B555D+e1E7aejdQq1sTTuV3buZGV07Wt17tzV6tY12erasZOVjGQrtUsHKzUzy9q09VWrlqL0ytGHH35orVixwnaFU0MmoMqh1sq96Fwrq3Oyldm1q9W1cwa/AmUlp3WwMqmcu1Cb7tq5s9U1PcVKofQkUTqSuvazNhT/gQ49RoLrlGyOz6rjfNRZFYcOWY8tXco+rcqnn35qLVq0yHa1HO72c/ToUWvBggW2S9MSbczEaba1tbXWfffdp9xOeWyrJRNQza3Wuu57V1hZGUlWJl2vuG2l0XUJqXT96pJpdaP67da1m9W9Q5qVxudX50wLXbOt+Q8+SvVZTRE46pdlUP1y3Pf84ucR6REEQRCajozwCCcU/YSTdJu6AHr37oWsPr3Rq29vUKcDHdLT0bNXFnqTX9/eWeiZmYFjVio6d+uO03plolfPnvrlchNHEP3EVP1+yR6YBp8Qq8zzD5tkVU7JScmoq6lBr6ye6J3VQ5WpWgI3ORXde2ejB7n79O6Ovl07obo2Femdu6HPKT3RvUcWUilMcpsuSz3xK2R0Yutq69CjRzfKbxZ6UVtSozbJycjsfQa6ZWUiu29PnJrZE0ePVyOtc2f0PuVUCtcbaakpahqlKsYE4OXSeUU71BxFl86Z1H5PQVbv3uiQSv6k8XTrfSq6Z/VW5X9Kzy74oiaJ+sidcVrf7spPfe8lmSXr9AdHAHj6oe0nnDi4BtSrO/W1VL+d0Kt3H/Tok42Mjh2QZJFO05Pa2SmnIYuuTf16ZOA4r0GR1gGn9u2KvtT+OpCd2184XLeJtjRBEAQhEUThEU4ougEmIYU6nZs2v4htf9iGl198gToHPfDV83Owav3T2LJ1C0q2bcZdd8wE0jIw6dof4g/btuCFZzfgzNOz6XDdYdBdhlCnUNnc092+BHBnn3PtNElJKeoVlg7UMXv+uU2q/F78wxacc+5AnOE7B78rXIU/qHJ+Hr+6fx7qkzti5Ohxyu8PW7Yg52vnUSy6+93mUMpAOJxX/klJScbaJ5/EH/6wFS+9+Ad845sXo8+pp2HRb5ZhG5XBHzYX43e/Xoikjhm4eMQl2PIC+VGec791MUXA+eWI4ieFk8LCU1Lx+xVrsOXFEpRQOY8c8S2lcD3w699jy7Y/4OVtL6Bw6WJSdrpg8DeHY+vzL+ClLc8h75JvUwTmrHBcoE28wgmFq0FdUlJScM/8+7F520t0Lm3F1MnfR0andNwx5z48v4XaGl2vNm0oIuWnH84Y8BVs3vQcXnyhGNdfdy3q7eeMwfpVkWr7l/ByJQiC0CoE76eC0NrwfZ5fkle2lAyc/ZXzcPbZ/dGzawccrPgX+p99Ds6/8AKcM2AAzjzbhw/e30/hOuJb37kMA84ZiK8O6IeOqdQPVCsfGTjCL3mvgQvWBfeVtUqYBN/ZZ+GsAWch+9RT8Pf9fpx6en9ceOFFONfXH/3POhP/+uifFD4J3xw+AgMHDMTXBvqQ0YHKWC2d29bK1iOzRD2v3Kfehaknhe5Myu/ZOPPMM/D2O/vR+9R+uOCCCylvA9CfyuHfn3yEGiqgnMHfwFfPHYTzzu2Pzp3SKA6zVEP8cIdViaU22c93Lsk9Bz5Sysv//jf0pc7vVy/6BrXxM6kO+qOq8iNUU5F+jfzOG3gezjunP7p1SUcdv7ij8mUvU8CRkuFv8njnVmgNVGviBSXIwudH3zPOxlnUXgaedTre3fdXdO3eHRd849sYMOAM+AacidovPsN/qmtxGrWD87+ag/PpPOrdoxNdr/R7QExo1NT4CIIgCC2BKDzCCYWX8eXVqmp5RSPVK6/Fnl07UZOSiTNI4emRznNCyARq8P477yClQyd8/RvDUEcdymTyT6FOuFo+OKy3wL2IYE/iS4VFHePgtDYHydwLV8VCP7wKHp3577xbjk+P1uL0/v3Rr2c60lUhpmLP3/9O++sxPDeXOv1Uznx8m+6NRSYulZd35gyr+Ue0pc0/PvgA/6yswin9+mHAKV2QxodZqXjr7bdpW4tL8/JUU0vRwZHMy7UlCB/HWFSO6lM+1Do/++hD+D/6FN37ZOPc07vqUSDas+/ttyighRGXXk7uZKTUV5MvJ4Bi4XTTecEdYstWNHnxAuHEksptguqE66uea5ur5PhneOsdPzJ7noKcQT69oiSdY399qwxVx47jO5eNIg/yrQvQto5rmGuTQ6m4+Aqm1vZT7UUQBEFoCcz9ue2ibi4athrjdplNSxMphny4AxlMSyhEZNiGCU1GsjcOK98Ug/vrSWbw/ZWWRH9zgo2C86q+ReGAO9G8Ub8JQtGpZXsDX6CoaAWeXPUkVq/ZSDuScPijf2LD6kK1utbyx1fibwcqqDNajZ3bS7By1Ro8sXIVPq/6wpSILZ+7DMYkjkV54XhUflWkHvlVe73UihOPWtGLje0Og5Wh+lo8+9RTWLtiFVY8voI8a/DZvw9ROT+JVUVFWPHESrz51jsUthZ7d/8filavxmOFa/Gvw1UcgYomIexC4hILtV9ClS39k6lX7YcdqtQTgt/c0W/vRGLxOUJxP79xI9asWIHHly9DTeA4jv2nCk+tXYeiVUVYQ+ZPu0jxqKvDO3/dg1VrnsRvH1+HD/5VSelNPL+scCpFx0rGS1uKsXrFMvxm2ROorq3H8WNHUbz+Gaxe+Ti16ZV4qXQPFX8AB94rx4rV67BsxWpSyv6lykTlyDRjpehwnSZePhwPmzouCmVzxqH2aCuhZCaMibNO2YJG1alx8H6qfdurJQnKZxPmcJgmYNoat7o///FFrHn8t1jy22X45NOjCNTU4JUXnsKTK1diXdEabCrZgTqq88+PfIIVRU9i+con8be/71dV6sRUsyAIgtCCqKUL2gBRV2ljL9vbWNnU1fOaNnr1Ir2Kkb0jQRJdpc2IYgIBXmOMXJyGYAL03pDNm2irtNVbtWQ4PuUIRlJDgnldn1r6q6kluXysHSwREl+lTaeGVxOqqaFfLvd6tbaQSZrtp5MTLWavVdoU7FV7zApUfWR165ZhZWZ0tDqlJFtI7WJ16NjJ6tkZVtfMdCuD/FOSUy0kp1npXbpZnbv3srr16mvt2++3ahyy3RL+53/+J8H86rg4TnVcHefZnV92R1sbTHPiVmm7nhLFiddu3mgr+9VY9YGjVr/e3awenVKsLqmq32aldcqwumT2sDK6dLQyu3Sw0tX3RVOsjp27WBldMy10Ps169bW3qZ50vr2Iukqb7cVnK7ds/lN+vCFPLkNlOG51TnvEEYMbp91Ah4Rqwo7a/mUBAeu8AWdSfpOtzDSoFdFS0zOsjG69rM6dO1pdMzpYHVN4YmWyld65s5WWyfntZxX/4f8oBo43klirtPExKg0k+uILBlrdO8Hq2CHFSqJyTknraHXowivkpVvdMqh8WW5SupXauYdadTAto7v11MYXVFmFtS1Vn/XWoY/+ZS1d+pjtGR+cGl5dj69bysVtN9g+2JPdbA9uIoi5Spuqc04xtS365Rh12kkuC+Vd6odqP5oAG3f7acwqbSpHvOIZZVqFNInirTEuTJxmWxtllTZ1MF8PCC7TKbxKW0dYGXQuJSWnWCmp6VZmZme6hnVQq7Z1TCPtl+o3qXNPK61bd6rnXta9DywKr1/1wy7yJfvPfy6rtAmCILQEbX+Eh/F4/MUrTjE8p1qtekNh6Lah/FoSNX/bHllJS+N5/vzc1DyjM8ZpSwx+jht8Pu+IJIXyyE8X+TclRU+XafncElSmKhkkLDU1lSxc7jwH3QEXiv5XJn4olvoARZeC6vo0ZPU9FX169wT1TdUX57PP6I++p56BU7NPRZcundVT6uzTTsNpp/VD7z69cOopp1CaUvSaBTaJyfeA2xDJ0e9h0A+/H2S5xhBUGehaarK8lsKVMDOyQp0otQpZnz59kJpGeUvpiOx+/ZFN5XnmKb3QrUsGakkt6H3qacg+/Qz0PaUv+mX3QloKF4qKIiF4cIKf7/OhVFNq9MlgpVhqXID/knllMr4cOfYnRngdUWdbbanXqPLaV7WVJNQlp6Mftat+vXvgzH6noGf3TFUm3fv2o/z2xxmn9sHp2X0pv41LR5IaVapDbXI9uvbsi+xT+6FzCuWS3+khudnZvXHKKaejZ88+dA7XokdWD5xBbbrfqadSu86mOmEttPng85Zzwk1ZX7bsfKkN/1CZO70SxRmPbTNbdV6SN18j+dxtnIDEUO2Mzk8+f/neQCqD9lQJsk1TUAVZrzYdMnuiL7WhLh2o7dXXoR+dL31OOQ2n9DsNvfr0VQWekdkFZ5zeT9Vvv+xT0Dmjkx2RB01NmyAIghAVfZdqy3jcBJQX38j4XpbCj6PtaVe0Q93TWxCeVqJeh7B4igZ1zJWy5eoQB2lMajh3OtPOo5Pohqr2sCd3CikR9SS6pfPLaeHlVtVDf4Lft+GXbg3aV7ujlUJs+JgkdOraA5tf2IxHfvUgemV1x9eHfhObnt+C5ze/gBeKi5E/OZ96MmlYu24tnt+0CZuffx5PbVhPnYjs5i0ELlquY45U/VOu1DLBGi3K5Ldt4ywWo56lpKWjeGMxfv/7ZTjzTB/6nn42lfNWbKXyfPH5jbhjxgw6j9Lx6G9/h+eep7In/83PPY2cr57bqAwbRUsdGpYgLmN++0or8Uqt5l5kgjIcsYeRot61oFzT+blq1SqseGIFzvvq15DRvTc2vbAFWzc/h63FT+Pnc2aT4pWOe+9/kNraFrzw3HPU3p5G7sVD6HiO3ZnoOFBZ4PQk43fLCrG6aCUGXzAQ6Z264tnntmLbZirPTc/g3nvvhZXaAff8/Od44QWS+fwm9YHUS0Z8Wx1tTDjevrFQJcsDDVTWnC5erY9tOme8DZ3LjYfPllA8xpbEU9mS+CV/UkDoHGqdhzSUK5LLTUk9JOLrpC3XmKai7jcU0bx778czz2zEFSO/TcJSseHZF+gato3a0NN47NFFSOvYHQUFN1Cdv4DnqW43P/8cJl/7AxVH4jUpCIIgNIXmuNu1Gu6bBD+9ZepoW8t2vsu1NEqEvqHWkxKiXI4baohIn7hwPeHWHUbOG2/YTp0U2nDOa8m0NHo0i00d6vkxLaWjlp0OdC3oMHqbAKw8UWFyJ+ycM89UdXr488/xvQnfx4BzzoTvLB/OPuM0HPr4kPqGycUXfwPnDjgbA8kMOvccdOBRClY87eiaimpTrFXyU/raGlUdobccNDq/DNsSzG8Lw6mJmSIq6zPPOUd1QCv/fQRjxo7HuQNPh++cs9Hv7LNQefgw0jp3Q97Iy3HWWf2prAfgawPPQkbHNIo38VLWqowrRUpr57IjpYcfHNTyCAgQIBMq23iJiN2G/O1rwmk+Hzp26oSPDx3G5aPH4OxzzsBZZ/tw+jk+VH32OWqTOmDUFeTvOx3nnHMuvjaoP7p04g46x5xgntX7KknqoUh/kpvRqQM++eQQvnPZaAz6ypk4x9cfZ1N5/qfqM9TUpWHMmO/i3LPPxLlU/l8ZNEB924XPc6dUlb+mXNtUmviBSazOf+Ilrwkvf5VK9jDXDauWkk4KETubkIWE4HrnazPJ4wdTakvebMKI8IgDrgd+yEXH9j0lGz17ZuHjf32I/gMG4WsXnIsBVJfnnNsf6alA1TEL48ZfpdoVX6vOObs/snp20WUTJpsLprUKRxAE4ctJm1d4+L5gTBDbgz+aeOON03DJpZdi0a8Xt8KUNoqfb6Bkbr3lVlx2+eX45QMLUFPLr2MHk6UJcyRO6HDbprScetw583Zcdtll+MX8/4fqGvP8vOVQS/tS52HOXT/DyMtH4v+7ey6OHg+pWnbqNKpjlQgUNz9xtuyVwHAMH/zjH/h3II1kXaK7Ackdgeov8JddryFnyLdUR5Kf4PKWP+TI5cIrkKmwHGUTUR/ipPh/df//w0gq5xkzf4pPPz9q7w3lV+U54fyeOOrsDqCC2tFHH3+Mf5PC899jxmg/pYQAO//8GnXIB1JHPQmpFJ5H91gp0ZMYuZYSK2UOHRRLljo2HBeXHSnQa373e4y6bCSm3nATDhz6TJdrwkQqPTyNKkmN8tAekvPJJ4dx6NAnuGLUKL1KWjL1SClMyavbcYrvXPTq3kWvrkXtMYnCq3ZGYRJNT72twKewllx7FP+u/AT/+OgzXPpfo3UAnrZXdxyvvlqC3qefg969+qrGxLK5CriEVbv2ING0GGqrj2Hez+fikksuxZ133hWupisL/5BphIDweBj7nKAsWHW1uP+X/w8jRnwHt824I+LBQYvA9U1t66GHHyK538bNN9+MWmr7jchaBKyGqnFJioxbXFJSHSnMn6L8vQ/wnctHq5yrZabra7Dj1VeBjO44o39/Vad8tFp8j/artmWqOFjV3nUuCIIgNA/6WtxGUJ3NhnDeuejm9uabe1BaWor333+fOjmJd0BZZlxyg+gE7NnzJrb/cTvee+89ugE6E0W4nNGIJZejCEVj22jzVlkZ/vjqH0nu+2pkqzEklF8l2sLevXvxxz++iv2cX5fcUDqZcJcTL7k8ssP/qqNQW4O33t6H9M7d8ZWBZwU7oB9TZ/XABx9gxHf0dB+1xLKSw50OdXhMEsmvHjW08Ne33sKfduzAvvJ9qKkJH0sL5TCxvLY2TnVYvyNDaWIvsv/17bfJmoRh37go2CGrPxZA2dvv4Fvf+hZIHVDlr96VU0/oVRdPhYyGd56jlxHve+/dd7F9+6vYS+36eCAQM7QXSqaXWOPHEaak4u195TheXYsRuRerXXWca9K+Xn9jL4YMHYqOlFm1hoMqHz5OP8RwwlNYjYkGv6sT3Etxlr/rx2fHUnDZpSPs9kzSSen582u7cNFFFyAtPTVY/iorvDta/J7l2wCcXmrT773/Hv70pz/hjTfe8LhORs9PIoSljuTyOzT+9/10fd5J18s9rGcnjLtNNXhesVxScP5x4IC6L+zZS3IbeDDhFSf7GWNgG5cU+yUnK42Wrk2VOHgogCtGj9L550quT8ULz/8B5553rhqx04qsHvVj9OMZJ+wO+RmZTtmCIAhC09D32jaEudnz1lOBMfcA3iYnY9asWfjNb36DSRMnqq+qN4TpsLiNwe2OgG9CZH7yk5+S3F/j2h/8QH+bwYnHfcopy8TvlKP81TQQDUcRikbL5EeEM2bOwK8pv9ddl4+0VJdcD5wyncbgdkeg8puMH992G37z60dRcP1UdEhPt3dqQulktMspy2kMbFeKon1TV8/ok1Ix9sqrsWTpUtUBVf1O8u6Y2RO/eugRXDPhShO7w4TjJc9sGae/F7xYAud3akEBHqVyvummm6jT0tneq+E0mFQbTLxOcyJh+aZjpdKjHkuTm86ZOlLgLrk0D7/93W/Ru0eGLmf2T+mIub+4Fz/6nxuVwqPewTB5pE0ot5H5NRg7n7tqOpHjKLYFXapdJeHKq6/G4sW/waw770SvHj3CZHjhlmvk2Rv19F1n1Y7Jfv9q6DcuxtKlS3DW6afqPil7JnfE/875OX4y8zakp3BpmbdbCDrenRaO0xivNDB8lD6Ov7kCXPD1i7HoseX4yoAztcKj2nk6Zv3sbvzszpl0LnF703EbnHY3bplu+V6k0fn6wx9ej8eWLMHtt8+kjrcjfmUNlxcrvqj7KIqwPSQjJTUV1157LdXvYvzkjjvUCEeiuOU1mF+Sm0xyJ06aRNerX+OndJ1OsdtAIhgZTllKtrKQUYti1KuFVR5Y+BhGfOti8FWxjpewT+qIG2+6Db+cPxc9u3flJAVLOFj0wYjC73Ex8yYIgiA0HrrAtgmiLksdDV6KVi1Hywuv1qtlk+1FohuE5RhZP/3pT9U2bpTc0MKiasnXoMsJu8J9nXJvv/12tY3AEQlbOW8qHl5OVi2RrJe9bWx+p0+frrZxo8TzkqksW+eIZbO3MeynbWaPximXl6X2QpUkh7HXKOalbGvsGOlg/tHiycZhg+URNDp+J065P/rRj9Q2blT9cl5D+dVyQ4b9NN7ymRO2LLW9PLSX7Hr7fNEFqk0d5ZMXO+dS532c12McmPPF7Y0bOKHy7IrSKaegoEBtnXBd6cXUbdiiHPzDS6tXU8S8pTIm05j2fOONN6qtOY697V2UTc4jOzjPnJdQnapc22HVVh3BYShN2kFoOUYWw/YPPvgg6rLUTL1au55lBqza2oB13PbneFVbUungUldeBKfImJAsg5H/0UcfWb/97W+VPW7M9apelzNXJ8uNlBYp18DLUpPSYrsi4SONUbCFy4Dr1qLytL1C+fXGWc4ML0v94IMP2q44CeZXS+Nri1qam1zh+SXYQfuNXLWMNlFrL0vNuNOk4mAvFX21VVN7TNev8rPr1L5ghdqVwU4Be9oR8Z2L49Om1rrnnns4oCAIgtDMNOKZW8vhfLJJabNtIdgn5Es2x9MytnJmQjGEw/EZY57SeuElNxw6LknP42a7mehjTAjbh8LFL5czYm9t9PNizhk/CQ5Vl5nvH4t45NIN3bZFg9PEsvVL3CzT/bxUp4Pjt59he8h1y2e5nEv2Vbu4KXJEycnqnRH9hLyO4kkKrkaXYumV6uyjHEbTPPml4yivbFgmJ0lViQOdX0btVTLbCrpEdKvhDJgyYbhMlJXKWHtxOVE+yaHe0bGnvAXr125vYSXGwew4neVsZBjUfpUKPWYStlfJobiTUqluST45uYzTyOjYvPGSSx5qEzyO47AdSRw3uVUQVad2zVH7SuYlP+x9KbxVO3R98r9268VJgrKIMNkOQvmnY5QY/klFcgpPWdOyVNo4BJU/lynL1THxrzHRYble5RwbjlOnhUqPXGRsueHSYsv2kqP9OM4QKpSJnMtcffmooTR6484v2+PPr12X6te0RBfKM1Sf7q0hXC4vwkAb5UwjMcGzRfmx1Braz++q8UruwWtHMNm2RYkIpUsZl1xBEASh+eDrc5vA80bGfqxZ2DccdnIo1VXmXgU72Eo3Cn4HhDNjbk5u476ZGX/V8aatG7Pfbfhux51w1Usj+Fd16TzC0r8Kr8LFJZdj0v5qn45WG8ovd5I47xyKb7PcYeKdJrzTGBqS697vNpxBLZfnrXNYls9xKNH6hxQRDstLVqsD+DcOuSo2PpYFkFsrkWznmuQpI9oj5G/KxharjJ1Om6bnV9evVq34OFYGouWXYwrF2Rbg/NIP2ShN/O/ILyusypMMKwNcp3WUV15FS9dykmpXvFAB79OKSb3aQ6VDPzW8k1y0aaCcnfCx5o9dFJC2rEDrcq5jBYTjZX87PrcxeMkli/JT6N1B9B7ypONYHtcZB0mijisvXsBN2iL5aoISK2F2GM6ziteW4zZuTLrq6h0LelDk/MJ8MsduNxZW5lVIlkt+Or6gKNuEy/GSZ/zc5eE2nO9alWkOx9dBo9yy4bLjtmw77WNMXQbjsON3o2SzP8WhH05oJ9moGPk8Yg+qZyoDvmaplKowobiNMUTzZ0xeGXe4oGG5ZFT9EXyVUU02aDyOIcM4t8bOMo1RmHiUk84XUuqSQOcFlzHVN3+HKdl+WBIuT1n1j9rqAPrP9lIBBEEQhJaAezptAr7YBwIBHD9+HNXV1crO2xraBqrJ8NZhVLgAheOwx9kcR+BYZDhjOC5jjIzaWn5aRx0C2rIfGw5rtl7mKMmoDtRQumooHMVVTWEpfE1AmwCnicJVs6mJLpfxkst5qq7RcdRU1yoTCNTiGB9P8R2n/cerj1G+j6OW5Kvy8TCJynUfb8zx48dUfo9ROjiOmuNHSe4xkqvTyKaW/amOqgN1FCYku0G5lIfqGipHVU41qOd6pvBHOe7jVMbKTZ0Jkh84dkyVgSpTp7HTYGS65SZav8dIznGu2+p6ioP8jlF+qbxD+aV4Kd3srq6heCmMkeeUcaJITk5GDeeX8qHODbtM2AQoX1xeR6n+VFmym4r3+PFa1B2jPB09qs4lbsfHqC6PU/7qVb45v8fIfpTqROfV5Je3NVSHznLWsqhOKK5aqsdaEsILEhyrpWOobas2y3K4fZNsThe35zpu18FyDjdGplNurZJL7Yq26vxnuWo/GzqO6kadp8fITYYXnzgeqFdpCVA7rj/+H9TxcbV1JIP20f6aGkuVSw3Fo9qfQ76xcz75w6ZsN3VuTKDWom21yos+huI6Dhyt5bZ6DLXHvgiW4XFOtx1nNMPhuHzN1lwn1fEkj7ds3McZc1wdV0vXLTp/qR6r1bWDry1cNrSPr1lUP5x/Pp/4GJbjjMMp1+TTyDfxcBtRcVD5cvmpfSSX/Wr4POVzSMkJxes00fLBck3+zX6vcMYc4/TRVp2XXH9kqqktsGxjvI7jOI0cdjNOucbUVlP7oO2xmqOURzqG2q9F7fgoKbrHqAysY9SmqH5Z7vE6Kgdq81weASoXJUfJYzcblsWG7Hydp3IySo/ZCoIgCM1DEl1Y28SVdezYsbjlllvo4q9vNpws9VTN3ADUL7nVkzX9tFCF4T8KZ3LhDO1ExWVvTdxpaWlYunSpWrqUb2L8ZJM7jNGLhOXr4/WTYfuppUoMWxyStThOnd665D766KP48Y9/HCnXzIGweF0ffazy4YfP/HSYver5KS1bKE71F0m0/P7617/GjBkzVIek4fwSSfw8WP+xdqyeDtNxPJ2DlxmuT65HWl292lvPTzuT9LNVt9yFCxfijjvuCJdLf/rBKOWUtpxi9XSYBKWqp8/8pJZyyvvIj18I1qMRLng/xcG45T700EO48847w+Qy3nmmY+3jdV45jdTpT6pBspVGPvzkNol8qQOoyp7HQ1gWH6vj5Pj5o5dr167FihUrgvJai4kTJmDq1Kmqs2bKxOSU08f2oD+XQVIqWeqQllRH5UP+VL71VOD8SdBk2p9CNVJL4VVuqU64jrmczPGmnPnFdG5XzvOXMW2Y4zSoFfk4Rt7yU3Ha8Egfl5Qu10hMmhmnXF44ZPpt05VcPs7INWk0cHjep2u2DinJpAzzvCPOIe2rJ8MuTpul0kohOS4uDztOPp7rtrKyEn/9619xySWXqDZl9ik4nVROLIXjVOngOOmPc8aLQajRJLXHtA37WBcmzcb++eef4/XXX8eoUaOUwsXwfme4CDgJdB6x9GTKnEXp1XI5vDG6XfMIqnLacLwMPwR49dVX1TU6rF2xbG3TZWapde7seKgM+FwlaxLLVelTVw8VviFYBsvatm0brrrqKlW/Ri4TLb+UVYJ+6MLC4fna4hWW68MJh1X5oS3X6caNG3HNNdfodmX7q61ddpbKI18huGzp3OGpbXRcGrXjOnv0VDUj/aPCcs3rHJh8mHj4nGLqSZmuw9VXXx12nXLmWxAEQWgcbUbhueuuuzBnzhx1oTdJMjeZloLj//nPfx6U21qw3Llz5+Kee+5pdbl333035s2bF6dcutGqmy3XAd2Y1Y2ab/rUdamnjiJFUUsKTzp1HHkaFHd6eK+7xlgu1+99993X6vllZef++++PTy6F584vd+zZgJScOspfXUoAabV6oWbulqspSnYudccp1CFhmQwr748//riyG1qj83LkyBF06NBB2c25w3lvzvOI88Dxmfyw+eKLL5CRkaH2OxXp5syvl9yjR4+iU6dOan9LyDUyGY6fFR4e4eGOMMvlfc1dvgYj2+SFlRw26enpEWlqCfkGjpuVD5Zr3GziOqcaCeeZ88YPhDp27KjkucujJWG5fB5xeXP5GkwaWgJTppxf05ZbI6+CIAhfBtqUwvPLX/5S2c2Fn7fNecF3x8du7hD/6le/apHOksFL7u23365GPZxymZbO7/Tp09UoT/xy9egNo0Ow4sPKACkA5MFveCSrp5dEUg39pFKc4fGxjFtvvRVLlixp9fz+6Ec/wu9+97u45ercqoxRIM4Ij3bQxi4DUvGQVEd5J2d9Ej+x5dChTpCJ98Ybb1RyGfZrifxGgztpJq9m21xy3fkwbsaUsZP2JJflMEaWMw1s5zDNLdeJidt0wo1Ms20OYuWJFT2Wy+XglN8cOOMydpMWU7/u/S0N5zc1lR90tLxMk1cnpgxaI6+CIAjtnfBewgnEeWE3nTSGt81lnPExLC/aTcWEaw7jjI9hWSaPTrkmLc1lGKc9Ubn0Q4ZDsBqgNuSmsKhToznsycqO8ub9rPgoC21MHISXXN5Gk9tYwzjtjZHLkE3nTztYnVFjOlrxCfnbr58Hj2PccRm5rYnplJp8Ms50NcWY/LCdcbqdZW3287Y5zImSy5h4WY6RZfYZ2N+Eaw7DcTmNgfeZNBi32TaHcctlw/4Md/7Z7pbfHMYN+7FsxrRn9jNKp/PYljCMkWvwCtdcxo0pd2f5C4IgCI2nzSg85ubGF3dzk2G/ljIGp5ufnDKms9gSxuB085NEpq3JpR/aq8Y7CF025KlM8BZMFtKBlOEpX3xMWBw2TjfLNfXsDNucxuB0xyPXfnZvv3PCx5G/nV8VC2dUe9M/hw4/3hjGbA1ud0vAbZjzZzrgBpOuphpnXAanneU65TeXYZx2xmlvKbnOzibb2Tj3Myace19TjBvjZ9LTnLKcxuSDYbeB25VTpsG4m8MYnG6THlY+nP7G3lLGXQbOvLe0MbIFQRCE5qPNKDwMX+i5w2I6Lc154Tdx8dZpjJLD8vim2tzEI9dMm2hOmluuuu3zG92kCCQhnbv5yp+nsdk2hS222eTGC8sw2ybJpWN03vjU4DgpHjuH1CLVfnZqvcfe75BnjMG4WX5rwG2Yzx+GFQBnWpoDkx+3MeesKW/j31w4ZTlNS8vl+Dk+d/0ZGa1Rr878sDxjmjuv0WBZzmtjS7UrE6/TmLbMcB2zX3PilmcMY8rYKNK8bS7c8pzGYOQLgiAITadNKTxO+ELPF/zmwsTFW7dx31ScN9mmwvGbrducFHLVNzYY/aq+uuXT4VYt2XgUhOMkLyWNfsipaLLcBOH4zdZt4pfL4TiX1PbYqrQa6vDSH+deSeDFGmgf72Y3SfCUaXC7WwOTX84nm+aUb/LjNganwuX0bypuecYYWkquE6dMtwznvubGGS/buX6NvOaW2VCcvK+l2pWJ02mcmDp2+zcFtzxjDCavpsybC7c8p2F5BuMnCIIgNI3m63E2MyfqIi9ynVDHOamOlBv7+xqqo0/h1RPPOtSTf1W1fuqpFjXjNabjpM2WM2s69XWoq65BPZ0detKfhZT6Gp4Th+O15GmfNQ3l161otRacxxNVvoY2W7+N4ESXpZv2VLbxcCLkumWy+0TlXxAEQWg6bVbhEdoC3Pmvxm9+sxidOnXFq9tf1yM8SaQAHfknLrroQgy+eKQa8VCfx1HDIic5Vh2eeHw5Omd0QdH659R4TxL/Vn+O74wYgbPPH6LeBUri78Y4nsQKgiAIgiAIbRPpsQkxIAWm5gvs3/8+UjN7Y/Dgr6tpXLwaW+3RKhx4/13891VXg79XySQl6elgJy9awTvg/wdSOvXEJXnfUb5JvAR39VEqh324bPRoJKWkUl5TYNXz+E87UPIEQRAEQRDaMaLwCLEJVOOdd9/FqWeeja5d0qBmaVFn//139uH40RoMvfhbatqXmt2ldp7MCgClPXAM7767H516ZaNPr65KwauvS8I//PtRWfkphn7jYh7yUbnkL8gLgiAIgiAIbRtReIToUH/+6JHP8dprr2HE5d9RnX89jT0JxRufRq+eXZGVdYpWcdi/jpoTv+h/ssIZOX4M23dsx8WXj1QnRxr5JackYcsfnieFLx2nn9rfXtaAUKs2KZsgCIIgCILQRhGFp40R1n1mh8PD5XQ54oUP4pWe2F6jjSPiqi+O4Prrf4jrp1yHG8hMu2MOPq2qQtmfnse0H5LfD2nfD6/Hqo1/xH+qLTx439248cc/xceVn2qlJ0EcognjMoqE3mNs2pUYSfafPph/WF3hMSnaWvWk3xzHD6f8EFN/OAUF10/B9T+agUOHDqP8tZdxw/UFlFfO7w+xpHA9jgaAxY88gOtu/AneP3ioUfkVBEEQBEEQWpeTQ+FpTE+3NWlsbzwKEVGRhxER3BcRKF6cvXRWLNQyBFpGfS3qao5i1YqVWL2qCCuLnsSTz7xAu5Lw1127sIb8Vq9ciSdXr8A7//wMn5MG8NKmdVi//ikcC5ACwa0pQSUgMhucEPZtdAbDUMpOEBMvG8q3xd/1qMX6dU+iaNUqrFq5BkUbnkdNbT38f92DotVUBqsov2TefvdfpPBYeGXLRjy9di0+/eIYRd6IDAuCIAiCIAitysmh8LT1PiWnr5nSGKub3zxiUtViahyPhRTq9qeijhxWcj2SkqqRmWph4rhRGDt2HMaMnYBeHdPRt0cfXHLFVRg17nsYN3YMvj30fIqgHmcPOhdjxo/BmFGXIrVDCmqSUinOxFLoGVrNmzMmZNOuRLGVG7WgAseQSl5pZGhLeU5Nq8HYcZfjv/97DMb993ic2q0TunXrgW+M+h7yxk2gfWMxcthgFY3vLB++S/m/YsxIdOvcEfUWf4yxcakSBEEQBEEQWgeZ0naSENGtbnQ/u06/ZqOOJ+WHmgB/WjNJjfSkIiUjC2ufLcYzGzdg/brHgfSOGJr7Haxcsw4bNz6l/K++chzQIQO33DYTzz37DJ5atRzZPbtr3SJBgklRsI2bpHvkhCM2JjH4o6EaR5xqQ/6ksKSldsL69c/g2Y3PYP2G1Ujr1AXnXzQUT6xYhU1Pr8GmZ9fj+ik/QF1qGvILbsSmjeuxce0K9O/Xl2JwplEQBEEQBEFoi4jC0wYJdutNf9rZT28q/CHRpFpSb+pUfEmk/STZU8gsHrFI6kRb3hPAgf17cbjqPzi1/9no2i2Nx4LIvxavvf4akkjhueCiryO5vg7pFFsaHZ/G8ZFpLJwKM8kuWAZBm05jolhJlK/giBFjS2EnC0IHyhL5JdWj4l9+/OOjT3Dqaf3RNyud8sXU4v9e+z/SBTviaxcORn0t5ZWOTaEyC58uJwiCIAiCILRF2rzCE7Wbm3jf96QimD1Xn7ppXWzu/JPCo3r69sIFylCsvE1K1XuSqKtPCsCfd76iRnJOP7M/OpJ/MilBVUeO4MDBQ+jSpTMuOP9r5MukkvJgx5EwJhEhW8iHCXc1llC8jvgovyrvyazo1eMvb7yG+tQMnNnfh67klVofQOA//8H+fxxEaqcMDB0yGKmpyUrtq6fy45ExQRAEQRAEoW1zEo7w2B1WfhGFeuz1amlgZW2l7qeWbyltwbiiyfb2TRwtweK8Kiv9NDLqJIunsCVrxYl+6qkFWMmk/FCHPwnVqPnP5/jhD67BlB9MwcOLf4ekQADPb1hH7sn4/g/yMeWGm1C+/wCOVx3GzTdOQX5+PibfeBMqjnym4kscnbeYmCBq5ClR+EBuI0YGqyn87g1lPKkWgerPcN3kCbj+B9fi/vt+pUa7tr2wCfnXXodrJucjf+qN+EvZ26g9/jlu//GPMPkHP8APpkzDPw5+TNXQqAwLgiAIgiAIrchJOqWNOq+2wpGcrLPAT+7r6kyntgWx5SbpD9IoZ22drXSpXwO7Ek8PxxrejbbjsXhRAb2nnoWSVX3sMyH4eFZ22JCSQy42PGKh99WitvpzbFi/DuvXFeNvf/+QhNTgL3/egQ1rn8SGdc+geNNWfHLkc1KMPsXT69di9ZMb8OwLm/EfUox4seeEk2SXpxOdSoLyrCJkjyRSVOz8J47JaQgWa1l1pDBXY1PxJjy5dhPefHMfrLpalO15g/L6JJXBBmx45nkc+vfnVEg12LhhLdauW4unntmIz/9ztHH6lyAIgiAIgtCqnKQKj4ZHWdjU1FGXnTrDSSmt1AO15dZxh5xEpthKFxPZfU8M1be3TXg3PeTDig8rOxaJTVweq4aMfgOFDafe4siS0pDaoROu/t5VuGzkCHTunIzep5yCKydMwMSJ38P3J1yBiy74Kh3fAf89/ioKNxHf//4PMO6KUejcoQOSObImYtKklB1Oqa30cH5VnnlfQugcspLnhHWnpKRUqrsOuPKqq3DFqO+gW9eO6JbVC1dTfr8/4Upc+70xuHjI+ai1UnD5qO/iqonX4HsTvo+JV1+JzC4ZYeNGgiAIgiAIQtskvBfYBgl2gN2QwpGkpmJRJlKSVeezVTqgJC8ooyWERYuT8qv2Ua9fTadzpiMBggsU2EdzA0gmazJSKep0pHXJQtH6J3HHHTPQvXNnXD7uKhRtWI0n1xZh7erluOQ730bHrr3w5LoNWLduHdauWYM1y3+PU3t05VWevesqAfh4HQcrOrpGeXkArmdePjthlFbobOacb/0WDkea1qEbVqxah9lz5qJbj0wMGX4J1qwvwprVq7B6zRMY990xSO3cHavWrKc8P4l169dizcpl6H9aX05Vk/MrCIIgCIIgtCxtXuEJQ/fVNfZwAnf+66ljXFevVx1rcUg+y1EqA8uurw8myyStyXhFpIcklJV386gWqwOJkoQUUnr0hLZgeamFDHS8anYeaS5+//s49HEVJl4zWclJSk5G4NgXeH33Gzj1jAFIT01WihLD08CS7ZGYxAnVWshGEfH7Suo9rXrU1NQqFYWjT1QE5zQUL6NjqamtoZ20h4eNklJw4B8f4GDFJ8i//gY1NQ8pKQCF+ctf3kS3Xv3QrUu6Sg5HZtVyfmuRksQlk2iKBEEQBEEQhNbk5FF43P1KcrOSM3ToUKSnpeGOO36CWp7a1tJQJ5kVneG5w5FGcm++5RZU19S0TreX8peXl6fkFhQU4NjxY/aOBKjnj25ytWslh7vseryjnlQhC2lJlJeaz3Dgg4NISs/CtwYPVopNXX0yjlYnYe/f3kPeyCuQTmpBkqXzXZ+Siho1TMSxJYhS4kLrnWnlhFxsofxO+N4EdOrcGePGT8ThT6vV3qbBeU9FWiqvREeqTSrFWX8c/vf/QSLTMWTwRXYaUlBfl4w/v/k2ckdchjRKEi+/zf8pqakqBGk+/KPtgiAIgiAIQpukTSk85qV8J8HuJO9Shn7U2+KkeFDnMzlJv4CfRA6erhUZQ2xYppfcqKgEJSElJUUfxzJZtvLVRhPu8sJTruOwiBiSk5FMclnhSqZjKQX2jvjh1dj0YaGj1cdHg2lJwvFAGvaU/R39Tu+DHl1S1HdnuJz3+/+FL/7zOUZc/BUKR00niZdz5pjYsNvE4Y13OUc5hss5mZQzUqbqSfFJIbUsnRSU2BK8oIjsg8KPZcWVfVJRSwrg3r/9Hd2zsnDOaT3193cov/6DlTh06GOMGHoe1OthlH7yVvEkKQsrPuGxGhJqU4IgCIIgCEKL0aYUHifqPRWbkM1AnUnan5qait27dqE2UIOFDz8ctniAG47PGSfjdjNefmHQbu7M/ulPf0JNIICljy1Bxw4dvLu91KGOJtfdITZh+DdaCnga3UslL6OuthYrCh9H544do3S3dXxeckMv2uiyYiVRLVJNu+p4eh4pMZ06Z+G5F7bgnXf/hjTu15M/p3fIN4YjcPwYrrtmHHnyDjqSDuWYVBxkosltKL/6aMY+lhQd/j7OU08/S4ptHZ4vfgZZ3TrbYSKJJjfiAE6LbeVFC6goSVQHrFy9Bv+sOIgOtDNZTadLwtkDv4rq48fxkx9PM0cEf/UiCKx82nIceKVFEARBEARBODHoXm8bwHQSnR1Fcqk/ZTP71H421O20/Xhp6hTqIHNH1IRzG+5wuzvd7HaGMTj9nIZ++KBgGJabTJ1yfoeIQrBveFhyJyTXNkwoHnaQ4Sjs41ScyUmkoHCYUFinSUSuwSzxze8lmeNNXOpdJbLzyJYzDrcxxzkx8RhjMFljgvuMpzKhY3gXx6qChPlrk4hcxpkf57Em78bOZeKMw22cxxrYzfsEQRAEQRCEE0+bUXgYZ8dR2anPaE9YC3UsjeEV2igcd0oZZ+fTy5gwbuPczxi78Xca+rGVm5A8soBfZqcQ3um0w7pNMJyNjktXCPu647FIuTHhecv5TqGt3h2SawwTr1z3PuNn9jNOZYhxhnUaxsTnNM79jLFHyy/7cgpCx5h4QmGdRoVwydThw8OYrckPu+sc7345FRxjZ5zxOA1jwjuNe58gCIIgCIJwYmhTCo8h3k4ih+En9Nxh5XdQQu+heOPurJpOqZOG5Do7yiYs+8WS7JbpPNag3dFk0zHJnM+QcqfzGjut8csN5cu4TVhWcJx+xsTCGc4YT7kuvxAUvzpOp6kp9WvkOrfGmP1m1Mqg6pP2OZW7WBhZXsaJU4YgCIIgCILQOrQZhYc7tdzBNIY7h7xlfy9TW1urwrDdHM9+zjCxjJFj7CauhuSy4f0syxlHvMYcY0wichlzTENh3cbIM8Ytl/PjzpMJx8aUrdkXrzHxGeOW6w7vNOYYVhzY3Zj6NcYtl40Jx/GyvwljjClvp19DxsRdwyv3UXxOpcetAAmCIAiCIAgtTxJ1ytrEY+dZs2Zh0KBBqpPoJFryuPNo9hm708+NO7zhvffew4ABA1Qn1UxhihYHEy2eROXu378f55xzTtxynTjjjEY0ue+++y7OPfdcT7nmGPfWvY8x/m7cxxjeeecdVb+sFCSSX6fcWOGjyS0vL8dXvvIVT7kNxd2QTMYpy8nx48dxyy23BPc7ZQqCIAiCIAitR5tReAytnRxnp9bYnX4thcht33JZweKpcgwrl2baHMsWBEEQBEEQWo82p/CcaE5Up1Tktg6tJZeVHIMZWWJORJ4FQRAEQRC+zLTJRQvC4H6iQyUzTpe3JsKj+Ykq17XDM1xchB9pXOG+jLfvyUd4Hpy5Cvky3r5tFVZsWNFxIsqOIAiCIAhC69PmFB5+Em6ehgdphX5iszyBb8ShTZPLxzYuvSdqxOHLkl8e4THvSTEs36RBEARBEARBaD3a/ghPK3CiOqIit3U4EXLNB03N1LbWViwFQRAEQRAEzUn5Do9JcPvsQnLuwnMWPb+RYU8+vmz5FQRBEARBEFoTWbRAEARBEARBEIR2i0xpEwRBEARBEASh3SIKjyAIgiAIgiAI7RZReARBEARBEARBaLeIwiMIgiAIgiAIQrtFFB5BEARBEARBENotovAIgiAIgiAIgtBuEYVHEARBEARBEIR2iyg8giAIgiAIgiC0W0ThEQRBEARBEASh3SIKjyAIgiAIgiAI7RZReARBEARBEARBaLeIwiMIgiAIgiAIQrtFFB5BEARBEARBENotovAIgiAIgiAIgtBuEYVHEARBEARBEIR2iyg8giAIgiAIgiC0W0ThEQRBEARBEASh3SIKjyAIgiAIgiAI7RZReARBEARBEARBaLeIwiMIgiAIgiAIQrtFFB5BEARBEARBENotovAIgiAIgiAIgtBuEYVHEARBEARBEIR2iyg8giAIgiAIgiC0W0ThEQRBEARBEASh3SIKjyAIgiAIgiAI7RZReARBEARBEARBaLeIwiMIgiAIgiAIQrtFFB5BEARBEARBENotovAIgiAIgiAIgtBuEYVHEARBEARBEIR2iyg8giAIgiAIgiC0W0ThEQRBEARBEASh3SIKD1HxVjmqbHvbIQD/nnL6FQRBEARBEAShscRQeCpRcv9kTJ5wKYYMGYKCpypsf6KqFAunTMSl5H/phMm4eZ3f3nGiqEDxTcNw6cO7ElYQKjbNx8Y6HzJtt+LAesyYMhmjRgzBkJETMXnKzVj/HmV79xLcbOd72BgqmykLUBpDUypbSWHGDKPyG4ZR107Gkt2Uug+3Yta1ozDMxHFfCZU0wf6qrDksx5sOX599eGBpmSg9gidli2eg+FAZFi4us32EZmfPQszYRGfooWLMUOVM5T29mM7ZShRPX0iuFqCuCmVPzceM6bOxYO4MzHiwBP4DxSh6pe09lmlrVGxfiFnTZmHB/bNQcFcRyip2ofCpcntv42iJOFuND+lefVcBZt2/QOWh6K0K7Hp8Pdpe6r3OJ/bja5ztFARBaApWAxx8Zp419fpvWYPHLrf21dqeioPWxoc2Wodt14nlc+vlX15r3VS416q2feLi443W9F/uiHLMXuvRbw+2phe7cnhwo3XT4G9Zj7xpuxvgcPF0a/DgRyg2J3utRwZ7xO1fZz1QfNB2aN5fO51kxZOrw9bG29xyPOA839bYemMZ062NH9vOuIgzXY0izvS8+UhkWTcbXJceaWhUOUeJKxosY9FeamOPJFgnLYVd13a6moY+RwYnUh5xQ3FT3WxcxPFHMcH067CHTZ6Cbcn214GiEE8YN9XW3kU3WQ+UOo6ia870wTdZG8MvDfERZ13wdarR50hj2nqztJFwDhbfad259v3Q9fyL161Hxg62HtlluxtBS8TZalC7ufNn66z3v7DdlIvXHxprDX7oddvdSBqsO74OOM+n8Ov/XjrvIu6fdF6FnX98TIQfGWc7a0y7azJ8XYpxP/O41/C59cibDd8HdTjbIQhCs9PAlLYA/B/2w8/unIbsimUo5hEKQ9U+lPcYhCzbeWLJRN5dq/HY1Byk2z4NE8CuFUW44Opc72MO7EPp0WxcMCg8h4ED5diFPOScbXs0QHoGjx0FUOUcpqG4I58MB1D6CjDxu9m2W+MbdQUqFm2EY3yt6QzwxVVvlZtmqNG9kBmF+TtLMX+M02+IfgJOlC0O99eGjylCgdNPPSFPnETTY6j84ESPQMYDP80sgH/uXIzvY3vxqIIjXxFmrQ+Lpucga9zM0DFNILJ8h2DhHntnBGakw8DpXwVfAbD8z8NxA5ZHPpnl/HjUPbcbU2ehNFBEy3Zj9+5FlDeS5UqXu46ZuNO/pwT+kcPhQy7mbGYZLrMs3w6o66Ro53yMGjMfpSsLMGRaEUrnrUIZxaH8g7Lsp9N7Fjrk28cG3Y5w0Xi7CLPfHo38YY4zNHso8kYOxaDwS0Oz4zsjrqsClYkzP2S4bCLyaZ7MR9adMqY8HX5edRo3n27FwnnZmDjBF7qeZwxF7iWjkTPQdidKS8TZalRh6+L5yJ4wCb4M24tyMXREHkbnDLLd8RN2bnnUXfg1PQvjFzvPqZnIsfd4wteFaUChfe7lzt1Gx+ShxPhtnoPcYXOwje2Lx4ffu+K6l0Vpgx4m+vWOUNfj5fBtjp4fr3tN1rgbKCM7MJyvjTHaeNY38+DfHuXqYEaaPeC6adK5IwhfFmzFJwp7rUcX8AjIQWvd9YOtwT/bYn1u7+EnGSfFU65oVO+wHuBRK9vp5vMX77YGD37A2uEaXNlXONYa/KONVCJxop5SOZ9Sf269/IubrKnXDba+9ZjjeU/5OmuV50gOhf/fa611ftsZlThHUpr0ZDXOEZUw4kxXo4idHn6SGPGE0JhmezLIT/w80pDQ00eOg9KUQL14PiVtNLZ8lV5nfbE9Wlm5Ry+869mdzsh0axnGz3ukIVxWZJhE0h/av3dRqN7Cnq7yORtWF3b8ZJzp9LKH8C6PhuC4Bl+3ynrfNZq+pTjRmGziPN+98xAnjXnS3qTrkAfqOjvP2hEczWCqrdeLtySWLictEWerodvsvD+G31Oqd220tiR0/XbjPu894Lq1zxdjnG3L+9pln6uu48KMu700sQ1xOuId1VTnZYyRHY7LM81sPNKo4/MI6zb2sRw+elobd60RhC8bsUd4KvwIfHUQ0pGN4d/NAV5ajy0f6l3lbwZa6ClXJUru0+/PzHh2F0qWLcSSpfNRMKYAhXsqUb5uIRaS36ypBVj4mp7TXvnSfEwcOST4lInfnVHuh0tQvrkQ6zcXY+GtBZj/iuMpSPlebBw2ED7b6WZf2VaA9g8KG/6pxL43K5B98SAqkcYR2LMKu4fNxPjuZA+O+lRia2kvjL/Qa6wpEz4q+tK3G3qCkwXfAD/85qm6GR1wv99BdVpqW1uS0BNBHoWxPVuZnOn6CeO2ubnIV6MFDuN+UpgowSf5BSiiEnWPMoU/9Y4xD13VE4/sbMPu6TGfg4agY5bvn4PrLrTdLqp2LsGCu29GwbIyVL61HgsXF2LhnQW4eY3XIhh6FEONpqgyOQh/sL70k9ptI0swz/0E8RC1tbCnq672Z5NzzRz4C0NPf91uKHm58DV69CLB9B/agZKdRSgxT3Ir9Hkyal4piqbZdfWBvY9R9VOCPH7KPKUQedv5KXAldrxUCv8HOs6DBxCZ/j0kh1qGGdkMPTnWIyTRnshm9u2H9LcXomDabCx8aivKP+Qay8bocXG2DTd9fPDt9wfL25yX7ifZBw+0ylUhNDrE54ft2yxkZSMHxbhzwgwsWFmMXQcqEahLx9Bxox1tNEFaIs5WoxeyzweKZ4/FjPuLUPwatQFqSulDxmN0E0aDKzeVwA+v65oeRVHtqs94LHJea8nMzLbvR2QKVsI+18iEjQzl6xEdL8Pnnx0qSBPuZXweLO+/DYvGNVSTus2OOnADpSP6yE7Me43HdT1r3KLwMLbh4/UIl+3nODb6CCxd5xoYPRIEgbAVH08+f/GR0MjCkS3WnYMHW2N/z2Mih62Nv1xnva/3ePL+C/Osu//37gbMPGtLlJELfmLyre89Yr1uP107+MxN1uBvTw/NY9/1iDX4ulAa1BMT11PgwYPvtLYcsT08wo8tjDa+8761jkdgfjA9PL0/m2r9F5XBA6VeIzFRsJ92qSdatfus5TynutZ+mmW/P1RdujzmCM7hFygvcTzJCn/KFOWJz5sJvM/i8aQu0njI4eOCdcFPGpvp6VMj0xN6kh96Uu80jX6yreA4GzPC40hLQk/HdduJnuZ91qpCKgH/OuvawRMonN1WVdlFlo06T5xtyzPdHk91PdoRx+WVLvcTXefIinqK7oib44hsn+HynWESS79+EvqInZ4GR3iccbHdyFF53xgWZ1i5qrJ25Nl2x9feqq19K+60JlwWCj+B5CZwxXHhaGdsnGXlIKxOGkCVuTNOL+MhJ6xuTRk3IwdffMCaesW3gmn41u0brYOOkbLPPz6ccDlGj7Pa2rv6AevRh+627vx9U+qnBTn4svXADf9lfctOe9j9s3qftWUB3QMHT7XWfaC9Dpc+ak2/4U7rkRf2eeeH68x5rVNuO+6wa6B9fwvuCz8/3NcDjfsYD+NuL+o8DD/T48LzGuGBOm/jPy+Ypt9r+Dive1hDx4ZfIwVBiCSmwrP3MVI4gjeMauv1BXTh//YD1usfv2zNa+ablRvVeXfIUDdZ5wmtLrahC4N7f0Ph3197bfSL5eEtqoMSodiUL6cbRGIXQGfn53Dx3bTVcar8cfpICVq3ooEbJqc9ZnnbF9d4LngN3CTCOiUR8E0pjvyHydA3soYv9I0hnvRwmMgbSPPBZe+Rhmg3VdUOHTe/eG++Nqpdx2oLn++1dpRX6ymZzimo3HYjpnB6lJ9nW4ssQ05HRJ1Ga1sx8sjngfMYlT+7fLRhueE381AbTTD9dvpM50F3TnifQx7LcccRJf3q+Dfd+9wdFhN/4m2w+uP3qVM6gY6923o5WJEJwPmgPHnWiYvYCo9HOTuJsw2HyeBjGlEm8VD9+UFrb+F06uiPtZaXk0f5RmseKSZT40hjNCLi/GCdtVzdH6qtHb+MfxGbE0L159bBN5db0789OPwhX9kW65GHptoPMRlqb1ujPMaMqOME7jkuvDvv9jlquyJg+e7zOtr1xibavczz2uWF57UkFg3kwQv7HA0ZShudJ2653mXmpIFzVBCEWFPa/NgXyMGgFNvJLzx+dxqyj67Hhoe3ovq8aJPBTg6qjkR/kT1QXoZS5CJnYPgUs4q/7UJF9gUYlMiUgO690I82h/3FWL4nDze4pq0dfmUXeo1LZLEFF2bKDQ9/N3WaFniqDpD3zaZP2Cg9cFBb9qxCCZWlmf7T6vAUpgF5sV+abRXs6TzmRVwyM6NMSYsGT8PgqVe5/blFRSEzB7nnpqspmQMvGhhcbt3/5ss4PHIIwmeh8vQvH3yO9ly2vQj5I9yl5ZwmxpRh1Twf8tzpz6Zrwks7HFNUbHiKi1fb5Kl5K/Nxg2taSdiUjpgvPCeY/gtnek9hGWC/EL27EGa5Ao39snPES/l6Kk/OCB/mT5sPjBwezFvZYsdLzercHAV/wTbMGRY53c9NxaZikhgivY8PoyfnY6jtTgQ1dW17nirDhqftNACfQ8jD8CYvjFEKv736StnaEiCOMomHwO5ilDgaXXpmNnKm5GOS7ca54zHnjkkJXQMairPyrcPIGsBX7XT4Bl5w4q5vXgR2ofilsMQj+8IC5F9pu20qqC6umDgavXi6Hs+cPFSG6iyv+zpdu+714wZzDqvpvNzO6XzZ6aezy41j6qIy8S7f7lrcxmkSngIZ/V7mOQXVC7pebOu/nOTHmf5E7zVcjo77gTZzkTciD/krwxd96dc/fEKf/iSB7VBkYfhIus436+pGgtC+iK7wVPlR0df1fZrzLkX+eUDJS1UYel7Yngj8m+dj9t2zGzDzsZUuPieCftnRuxH+8h2U11wMDLtWVmHf7l3qvZ6EVD262fBtseSREgyclhcsz8y+1PWkC94DFUOR1932jEatvfWAOw55MVaNSQiPjk3oXRw2elW0Bi+qdKMohL2KD13Q8+hC7Dn/OPgeTIx3XFwkmp7KP1PHyigIJK/5V7PJwUy1kpjttGG5pa53XPTKRY2rK6XsvJSnOuY3HBgV+W5WGOV469V05AYfSpTjldV+TCJFIPBOGcqDL/L0g2+YbVWUoYQUkAhFht/XGeZTiruCVyib4nFj7zOcWk8JdsRVl6RMUCcGc69rQtttZPrd7DfKDL+P5YTrlpWV0LsFeo6+Xd+k4OXSn7NTlTPdtAXOH5+b8Sq2lSh71eMhzKeVOEgK1VC6cFRuL8bCBxdi60vF2PpKIeYvi/aNLlJIua3E+05YA6hzyKHUcVrDOrRKIfTq+IaTM70QsN/dKKCWkkdXUqeyagiu9uixop8X+3aXoKrOdhiqKlGRfSVy41xN003DcZbjgWf4HKxC2WuHMfSrHte3E0X5LpQcte1BqlB5KBtXXmweeQTg5/dDT78Ck4atx4ZXqhDYX40Onjc3vnY5lHjVSY+85oUw1zpj4rnm2cfY78qFjt2Nwin2aoqJtOeYSnoc9zAb/a4NXdWoPTZ070jsXkPnUKGf8uUumyzkXDg+4p4StoIbPyja7523oOLdiHurILR3oio8gbd2AwPdVz8fhvPLs6QsNLREqm/MHNx7370NmDkY3d8+oJXh5aKDoxBhVGDfaxVIHzYoXLGp24eybUBuDi/i4CSAssdvxuS5W2PenPtNvQXjHWXWtVMv+r0CN0xoeOWHygo/Bvb1UjAr4d/v3WmICj+F98w3dTTWzoevwPEkni6a+mVNc/Phzl+0F07DMS9x8s3CP8/7iVrZdrPsKIX5c+ybiSLh9PBTPl9wBKFsuz/m6BV3tGIuSxovnE7K85xrErhBx4DTpfJtP2HlslUKZbTyP7QPeyuuxAWmaX24Fzs+nYS88wPYVUrdnGAD5oUGQi/wly3mxRPcCgg/3XW2C+rIT6MbtWfeqNNS4MP8tQ08D1UjH3qhhoRGH9RxeoEBrUA3Jv1uXJ0z90jUnlWgo21lyTmyZcc7lzpD93rUAy997VxivCECdH3ZXoISeyEWxVE/ipbtxQ3TR1PXtALvZ+RgaJ0f1TnjMfrSIcgs81M31oOIBSUaph9dh707gTrPzlG4ssU8auUoM/VCeejpfPSOHiuQ9jEj+NV3LyWUlFZq3Rxm20h/HMqzH/t2lqJkuyPxdZUoXboe2fPyMTA4Q8GLSmydOxk3P+5WHBuOM2vUXDw1MYfuk6tQnD0Hk4KKVbQ4+Z5aiJunLEDJp7aHA/9Ts6LcQ3R8s7e590SX43+7FKUvvYwKh8JWuf0xrM++Vz2w1HDb4eW2M5F7KbXhtVuwsTwAXwONhjv1vmUNKTD2yGjQNDBCYp/XKiwrz64lrwtWOhaFcV7zErmXOcgZkY+iaMs/e6LbrXrQFPWel9i9RpPAvZsfJu3Xoz7R8pZ1RqjHkvC9VRC+BEQqPFWlWDBlMsbetR7r/3cyZm0Ovwtmj6SOU6KjHAnBXxlfgMc2kXXTY1jwVBnKXlmCJZt2USdiPR55uARltF3w+2IKUIqih9ejZLPZX4wlFP6dVxbikbXRw5dRLyFzQA4GHqgIu3j515HiMmUGFpKuh00PYPJdW6mbUYXSBydj8nWzsZ68ywqnY/LSXWE3meoj++B/tQS7PK8r/eAbMQkzvx+u2LDClfvTG5Ab/EZCdN7fvwtDI5RPRnf4ChL50r66cBa4OiX6iW0BdTQafhrtWElnNjAv5s2Mb3zcCfXu+OWMgO4kjaGbaKOn0cVID3dWw6YYxH6ylzN9G3yFTXkiZt/oWSHYHOsJaJzYHQFeTcj9dFMpPQPmY5TXDfjjgygbNwQ5RrHpOwjDzy5H8cPLUDVqfNgKg+FP3QvDFBA9mjYKJSO3BduFVipidOQvvA5zqH15Ko6mY0OdGt+y6FOtSudRx4LDKeOoD8fqTyY9iaY/HI/V9dhMc4zzXDjTble8z0xX4/PFjnfceMz1WsWOO2P8vR7lYKWqgfZAHbdeS5ci78OFmDGNrjdTClAw7xUMvIuOUxWWjaFDAij/NA9DOZ4DdM25KMp30HhlNuo0JqK8qyfI01xt31ZM0WAHl3A8lZ+LebFHIPnpM58js706pDnIY2WeynsUdSAbnEZX5Ufgqg2Y2Wc9Zk0roHKbjILbl+Pw1YuozsMfTUVSjWpSDveu3o19to8injhTspDdqQzr3xyKBbc6pyRHiZOp/hz7qJ5Dq3MaAqg6TErq/sP43PYJUncYFW/Tvkr3nmhyquCvnoQNd/TD+rupDVHaJ1O9Lv+Uzh1nOisPIt1+CpU5bDRGv7UACz6mdqN8osOd6qLgKousCERrG+a6rB9KxcSc10pxjvw2VnCEh93OBxKNvZeZGQhRlRdv+JrLKz6O8rrnJXiv4WvCcFLoC+KdLsfXkNmkmNL1KmreHFN2m+feKgjtDPtdni8h+6zlYyO/s9NYDr+wqnEvFjcIpfN7D1ivx0inWgAh7MVHp/F6kdF+4dRhor0Q6X6JPJ4XoBlzXFwvhyZA/OnxeokzMt8RccT5AnaI8DgTzm8UeSqfcaTD/dJ/sxB8kdb1Am68L/G688RuFV/DL9VyviPzQ2WcSJ1ES79N+KIFtqeTYD65Ddl1q9yhug6v5ygvK0e8kBwyjaqzg1SO9re7Dm6Ybi3/20Frxx+jrZXp3daDxqs8I9Ib7QVsR7koE+/L0ua4BF/sbhait6G9K1bRVTZRPrdeXrFFr9hWu896fVf4xb9xcSZOo+Xs2uG49+kFiW56Jr6vy7mvwU6jzwt32wuvb68X8HWc0c7XWO0rsp3Hew125yPe4yKvg4281zDBa2McYQVBaBJJ/GPrPl86+AnwAx3uxYJRsd9HapgqbF1ZitwpPPWkmXm7EAWv5aJwasNT3wRBaL8EXluIhbgFsy5OR8Wz87Hx2FAMHTMaQxt6B/DLzqd+7HqtGI89ehijfzoJw7+Zg2wz1FFXjqJ1QP61iV1fq16Zj1F3Ftsj/ekoeHwnbjlfORodZ8I0Uk7lziIsKSxB9eiZ+NmEHHXP4rZVlDETBSYPgiAI7YwvtcKDugoU378VvjsLQtN/GkHVzvUo7T8Joz3eU2kSnL771sP305nIiWPqmyAIghA//s1FqLokv1mvry0RpxetJUcQBKE98OVWeJijZSh6Cpg0pQlLQ7cIAZSvWQL/JTObX5ESBEEQBEEQhC8JovAIgiAIgiAIgtBuifHhUUEQBEEQBEEQhJMbUXgEQRAEQRAEQWi3iMIjCIIgCIIgCEK7RRQeQRAEQRAEQRDaLaLwCIIgCIIgCILQbhGFRxAEQRAEQRCEdosoPIIgCIIgCIIgtFtE4REEQRAEQRAEod0iCo8gCIIgCIIgCO0WUXgEQRAEQRAEQWi3iMIjCIIgCIIgCEK7RRQeQRAEQRAEQRDaLaLwCIIgCIIgCILQbhGFRxAEQRAEQRCEdosoPIIgCIIgCIIgtFtE4REEQRAEQRAEod0iCo8gCIIgCIIgCO0WUXgEQRAEQRAEQWi3iMIjCIIgCIIgCEK7RRQeQRAEQRAEQRDaLaLwCIIgCIIgCILQbhGFRxAEQRAEQRCEdosoPIIgCIIgCIIgtFtE4REEQRAEQRAEod0iCo8gCIIgCIIgCO0WUXgEQRAEQRAEQWi3iMIjCIIgCIIgCEK7RRQeQRAEQRAEQRDaLaLwCIIgCIIgCILQbolD4alE8fQhGDJkCGZsqrT9PDhUjBkUZsiQGSg+ZPvZBHYuwMQ7FqJ4dwUCth9T8ezNGDJyIibfV0JSBEEQBEEQBEEQmpeoCo9/zWQMGTEKM57dZ/t4sGehUoSGTC+OrrDUlaPo4fXwb1+P8kAvpNvepAbBX74L+NSPqux+yLJ9BUEQBEEQBEEQmgtvhedoKTYsLadtJUrvm4H5O7V36bxRWsFRZiHKtLc3AT+23nczZt35AJYcANInPIiZF+7CgqmzUbSdlJw6P8rteCseJeUqGK9tYilRgiAIgiAIgiAIceCh8ARQtmwh1h+1nY0lvR8yU/aiZDupRf3zsXR6LvzrKN63tmLJzgp0+HAvXq6wwwqCIAiCIAiCILQAkQpP5V7sKD8MdM/DvZt3Y/fubZgzTO/KnbuN3OzHZiZytHcU0pE7fRHys8l6yA//7iI88KgfyJiEB0n5OfhaMco52IRF2BmMcze2zc1lX0EQBEEQBEEQhCYTqfBkdUDgtSrg0xLMHsPTy0ZFmdI2A8UfaP+oZAzFLXPzkX20FPPv4Clw2ch/eCZyO5TjldWs7qRj0qVDHe/1CIIgCIIgCIIgNB9RFy1oLtKHXIdbRmi7b8q9uGUIqzfZyL01HzkZPuxbORkLX3Ou3SYIgiAIgiAIgtA8eCg8OZjpmGIWfUrbIow/Q/vHonLzPMzbTpbzZ2HBrZnYcudEXHp7CXqNmomfTa1C2Wt+FD1bgiodXBAEQRAEQRAEodnwHOGp3DTDMXUt2pS2BlZps7/LM2puqf72zlsLMPHiiZj/ih9VO5ej+G1g4Mh8/R7QS1tQ4vp2jyAIgiAIgiAIQlNpuSltfXzw2VY36X0ysWNPOXD6UIw+j31KUbxdlmwTBEEQBEEQBKF5ia3wDJuDbe4pbZvnIL511BxT44LH5KOQ3Ds3r0bhtQPJ7cPQ7/IWKHthB0TlEQRBEARBEAShOWnRRQsqnr0ZQ4YMw5Ldtgex+/FRGDZkBrbaXxX1XXQFckZMwqypw9FLe2kG+JBlWwVBEARBEARBEBpD4gpPLX+a1ObCmXoEZ/F4D+UkAH/5LtrmYdAA7cNkZQ2iPaXY57c9zs1H4cOzMGlEtlqe+nCl2SEIgiAIgiAIgtA0ElJ4AptnY8i4+WA1JgKnIsTU7cOuzbQdNhQXdNdejG/QBcjOyEL5AQ/Fps6PXfa7PENPDxvvEQRBEARBEARBSJiEFJ70cwdiqLJlIm/eJL3Cmr0aW0gRykRmJ9p8uA/+PpnIGTE0fPTn3AJs2r4Nj00wSxqUo3CcvfLbxROx8C32y8GlQ7LVXkEQBEEQBEEQhMbiqfBkjVvkPVVtwHV4TC1E8AoWjLEVkqzs0GpsGVkYPe8W5GWSvf8kLHrqFRROaEhx6YVsx5S39D65uGXpg5h0uu0hCIIgCIIgCILQSJIswrYLgiAIgiAIgiC0K1p0lTZBEARBEARBEIQTiSg8giAIgiAIgiC0W0ThEQRBEARBEASh3SIKjyAIgiAIgiAI7RZReARBEARBEARBaLeIwiMIgiAIgiAIQrtFFB5BEARBEARBENotbew7PAGUr5mHVQez0fVfpTh43kzMnToUWSn27uamqhQLb12C0opy+ANZGNi/Fy6YthSzfKWYdfcq7D1Qjsp0HwZm98L4ex7DpLPt41yUrZyMB9b6UX4IyDrXh/F3PI5b+pZg1s8ewY53KoE+A+HLvQGL785D1odbMev2B1ByoJrCXom5v52FXP5Qa3NTV4XyFx7DXt8sTDrf9mPqKrD14YXYldIfHQ4dQPbkOcg/P5SAim0LsPC1dPTvVIEDffMxZ3IOMluq/AVBEARBEAShhWlTCk/VK/Mx+8NJeHDKQKTXlaPwqsnYMWUTCidk2yHihDr7/tINWP72+fjZTUMRW5+oxNY7RmFe/0LsnJ5j+xF1u7Dw4pvhn7sNi8Zl2Z7Rqdw0A6Pm+VC4eyZCsZRh4ZCCyDgOrMeCsuGYNS7BfDF1lSh7dhWK08djzjif7emkHMV3LUFJegdUbS5BzrLdmHmhvYsUyrLFk7F1yGrMGpZOcflRNG0hej2wCKP70N49CzF561CsvisXtBf+NQVY2P1BLBrTcP4FQRAEQRAEoS3Spqa0+cu3oHTxcpRUkiOlF7L6k8qwfRepJHHCis72Qsz+xQZUnDER9zao7BCBfSQDyDvPpTx86McuZOOCQfF19tMzWFIAVQHtVhyguG1riABKXwEmfjdRJY4UnacWYvail4ERM6MoO8xAjL9/ERbNy3coXjZVO7B+ZTYGDmB1hkjxIeeiUqx6xc87sWNDEbLPG6SUHcZ3Xg5K174M3isIgiAIgiAIJyNtSuHJmbgUix6diTylYxxG5QEg+6JBaFDl4Olb25Zg1t0bcHhAPu6dV4Dc/nHOEztQjh2kJOQMCA9ftb8M5cjD+VGmsbnJ7NWLfg/i8KfazQpEyUrSbM4DdlUctP2IdzbCf9GV8MU7TYwUnV0r52PWwzvQYeRM3HvHJOT0sfclCilgJfAh21GgHTKzUV7mp9T6se9PpOQ4d2Z0RfbbZfBX2W5BEARBEARBOMloW4sWZOUg9+JsNcIQ2L0FG4+Ox8yrBup9XtiKzvz7ivH5+dOw4P4CDM024xPxUfG3XajIGIpBp9seNv63S4BRORjUyPdXAntWYfewmRjfnezBUZ9KbC3thfEXxpHGQIVSdOYv3YWu4+ZgwZ3jMZDiahJ1AXBSOjjy1CvLR7pZlfIPHKWfVOWt6Z5F6lEVqo7ZbkEQBEEQBEE4yWhWhee5557D5ZdfrgzbG0VlKZbcPQM3PVyBSY/MRF60Tn5lCWaPmo29503DnLn5CSs6mgD85buALmUomjsbs+82ZgYeeCqAgTm+hqfEGbJ9yEUp/BVkrytH0dpemHgpj/oQR22FYicpZpfmNRhn4O0iFExbj8B352DOraObrujYVH4QY3LaIb9MXRMEQRAEQRDaHc2q8CxevBhHjhxRhu2NIisXt9y3CIWrbkb6w6MwYxNrEB5k5eHep25B100PYP7KXaiss/0TYh/2bgYG/nAOFtx3L+415q7x8B1Nx9CB0d6TiU3lC6vw+TU8bS0LvgHkUXEYVaQEbdw/BFf212FikX5ePpbenwv/o/OxZFs5HWvvaCJZZ8TITx8fGpdbQRAEQRAEQWi7tK0pbYEqBEznPsWHQRcFUDpvCUqivUPSfSBG3zoHc8Z1xa6l85XiU+FcNKAhDuxDKSk2ue4FC8rLsBV5yInz/R1F917oR5vD/mIs35OHG1zT1g6/sgu9xuUEFwRoiPTsocifOwfTzv8cxfc1k+KTkk7ywxdWOFixC8jMVOlKz+BpbY6dHx/ELmQis5PtFgRBEARBEISTjGZVeKZPn44ePXoow/bEKMOSkZdi2J1bXauykRLUkBJjFJ+ruqLs9/ErPnphgitxges1ofK3SoDzcuCLez4bka6VhpJHSjBwWmjaWmZfinzPQjxQMTT69LwYGMXnlouaQfEZeAHl1rmwAkGFq6fuDcIFY0gBOuzQLvmdn0TLQRAEQRAEQRDaEM2q8IwdOxYvvviiMmxPjF7odbYP48fm2KuyVcK/nzr8o8Yj17FwWEwyjeLTC/7VC7BgU7l6dyYa+8q2AiNyMChs2KUC+16rQPqwQRFTvAJvFeLmKbOx9ZDt4UG/qbdgvGPF6a6d+D2eK3DDhBiLL8RDH6P4VGPLogVYsjPuxbpDpA/F6Cl+lO2zS6WuHLtfysWkSzmn6Rg6Oh/+PfuCZVa+uwS5Ey6TqW6CIAiCIAjCSUub+vAoKnehcNEGHO7eH/hnKQ6eNxNzpw5FVmO/9M8jIR7HVm1fgJuW7cXhA+WoTPdhYPalmLnsFvR69mbMfuEwKt72o7rPQPhyrsOD94+G0V8Cuxdi1B3rMfSu57Ag4mOclSi+Yzl63TsLuRm2F1H10mzMPnp7XB8vTYgoeeMRsbKnVmHH/rew4aldwPmjMf7iHORNnoQcHqk56kfxo4+hLKU/Ohw6gOzJc5B/vhnCCcC/aSEe25OO/p0qcKBvPuZMzkFmY8tfEARBEARBEE4wbUvhORmo3IqiN3ORP1LmeQmCIAiCIAhCW+fkVXgCFSh78yCqbacnGf1wwfn6uz7NRdW2IpRenI/RzbRUtCef+rGr/LDtiEKvQRh6tihdgiAIgiAIghCLk1fhqQugqiqmugOkdEBmZjOqO1WlWP8nHyaNcbyk0xLEk7f0TGQ6ps4JgiAIgiAIghCJTGkTBEEQBEEQBKHd0ra+wyMIgiAIgiAIgtCMiMIjCIIgCIIgCEK7RRQeQRAEQRAEQRDaLSe3wvNWEWbcNRuzny23PZxUonQp7btjAUqc3+iMeYwhyrGCIAiCIAiCIJxUtN1FC+oqUfbCKhSt3YWDqeRO74ULxs3EzbkVWL4tEzOvzQH2FKM4ezzG99GHKN4rwuQf+XHDs3OQx6s2u8N4HWNT8ezNmPCn8Xju4dFQnwmNEVYQBEEQBEEQhLZP2xzh+XAr5n//JhTjCsxZtRqrV5JZtgg3d9+AcVfNwOE+PjugB5k+XDF9EoY34hM1Hfrm4pYrc7SyE5MyLByykH7dVKJ4+gwUH7KdDupr61DzxTEEqr5Qhu3s1xBli4dg4R7bEY1DxZixODI1XlRumoEZmzyGrfYsxJAocTQ27YIgCIIgCIJwoml7Ck8Fdd4nL0fm7NWYM24gMlNsfyIz91KMP5qLoTkxtJk+ucin4xrz9Z2sYfnIHxHHN3YO+eGfkocc2xkPddUBWPX1tgvKzn5hsNIxZEiYKVgJFE0L94tQTCr8KLWtDXHwAJD3zYZVOidxpV0QBEEQBEEQ2iBtS+Gp82P93fPhv3IWbrnQQ2VJ6QffuFzknOgpZqRgoH8/2xEfToXBEOF34Uzs3r07zBROAfKXhfvtnq5VLR6tUQrQtCJgZUG4UhRlBMq/3wdfguUXV9oFQRAEQRAEoQ3SphSeqleWY+FbA5F/9dAoIzSZyLnmMnhOaKurwNYH52P2rQUofCux0YeKl5ZgwaPzcfPUJSg7anvGoPIDP3xn8CgJT2FzKhmjMH9nKeaP0e7IqWif4L3pT+Ag2Q4uugfvfax9G0vWuEVaAVqWj9y528KVot0zPUagDoJSDqWquUeTnErT9GLKmSAIgiAIgiCc/DSrwvPcc8/h8ssvV4btiVGFXa9sRSD7MlzQ3/aKIBO+c72nY1Vs2orMW+dg0sB92FF+2PaNg3eKsDFjGmbdmo9L6wpR8o7tHwOeFuZTM9+yMH6xU8nYhjnDcjFns3bPvFAFD+fsbHQixef4ez507Gv7BeF3gxxKCJnIKW2R7whFV8C0Cb6zw1PxBvj0O0ru0SRSmjClUNsXj4/jPSZBEARBEARBaPs0q8KzePFiHDlyRBm2J0YVqrhfPmyg9wgOE4g2clOFw31zMbRDGUqe8mH0kDjew7GprM7B94elUxR+lL2di0Gn2zuam4//gL2DZ+CzlU/gAG9L/4CPB9+DfR/Z+xU5mOlUQshETmlbFLFqXHQFTJtF40R9EQRBEARBEL6ctKEpbR2g5rFlZEaZzhZA6cqNqLBd4WQihxQl7N6K9WePx/CoI0SRZJ1vr8r2HilL5+ViYEvpBn3/Cxdsvh4pU+7G1/9yNzJyr0f/v/wCg06x9zcaSvf+PAyXpbMFQRAEQRAEIYJmVXimT5+OHj16KMP2xMjCoIuygTf3eSo1gT3LsPe8KxF97CaAXa+sx6DvDkf2oVKUfmh7x4m/fBcwZFD00aWoOKeh8Ts8treLf2+6B2+MeQJ1K+/DG4Pvw9FSHul5Av+w9wdxvVvDU9r8H8R4o2ZPCYrMNLUElqdmgosesOF3eARBEARBEAShndGsCs/YsWPx4osvKsP2RBn4/XuRX7UQDzwbrvJUvVWEJfuvwDSeehaVfdj1VC7Gj8iGf7sf6RHvx8SiEmWl5cg7Lz51p19/UkLsJJYtLgAcU84Kp9iLFrhe/O857hf4+vL/Qso9i/D14EjP9TjT3q9ghaXQh22O6Wg8pa103ihbMYlcea2M8jrnGnvVtj+XwDcixmLZfXzw7ffrdJGseS/lhWRtnoNce9EC7+/+/A37Bl+LNxb9zXYLgiAIgiAIQtunDU1pIzJyMPPxpch9czYmXzsZk6fcjBn3LUFph/GYOcHXwLd1+mHQyCqUrliA0gGTMDR24HAC+1C+s4Hv+zjIOsMXZdSFl33WixZsG1mCUa7Rln9/4NeWf5G2FPfa0KFFEHbvzkOJc9ECUlqWu6azxRwNojKilKtV4iLgb/moRQsKgWneH08VBEEQBEEQhJONJIuw7Scfe4pRnD0+4iX+MNxhvI55awmG3d0Rj28qwEDbSxEtfh6JWevDIvU9HJ7SVgAzIYyXh/ZaJCBQ9YVtCyc9s7Nts+Epbc7pZayE2N/dcVO2eAhKRjhXg+NV2jym1TniKFs8A/5r9MIHPKVt1DzzydJ8FHouZZ1A2gVBEARBEAShjfHlVXiqijDx+yWY+OxS9Ft9CZYPeAqFE1xvCMUTf5zUfHEs4mOdScnJSOvcyXa1XU7mtAuCIAiCIAhfbtrWlLbWJLMXfN2rUfr72Sg9bzWWupWdZialQ7pSEgxsZ7+TgZM57YIgCIIgCMKXm5N7hOetIsxYvQ+ZF1+He68Km4xGVKJ06SPY8k5X5N09C3lmllnMYwxRjhUEQRAEQRAE4aTi5FZ4BEEQBEEQBEEQYvDlndImCIIgCIIgCEK7RxQeQRAEQRAEQRDaLaLwtHN4GWrnN3VCbl7COvJDphHwMtn8PSGzFdosvMz4jE2xvsMkCIIgCILw5aNtKTzcqR4yJLaZXkxd9XDcnfrWoQwLOS2U5iZ3Mvm7Pip/cSggBj4mEQXELtuClaWYP4Zl8fd6ilAQpUwjuHAmtvVfHkde41Sk2gD8HaOI9hVhYrStOJRAlrFwj+1wEKGcuNs+xRs1fc2heCbQfiIVqYbrmNMe13nB6Yin/Tk4Mee7IAiCIAgnK21r0QLu9G3PC31oM+wDnwwrGX5ct3g8nAunOT+maYj8KKeG/QtW2g430T7yGSUdeSNLUHLGXPgKV8G32PXRTndeFPrDoP4Cna5QWnIxZ7OdfpY1Zj7M50CZ/GU6fPiHQj0YNgfbGiibkJvT4ko3p9n50dMomI+rxixLJ450xV/+4R90jY35aGpDx4R/XNWr3biJGcazjp14lLEN1+U8zI34SC37rzpjUXi7jWh/3kRrH6a+GtN+mMi0euTLo91GxSknzrw5ift8p/qZ8cF1nh8Cjlb+giAIgiC0Q1jhaTO8+Yg1ePDg2Oa2jdZhFfiwtfG2WPv3Wo+Q+5E3lSMGOtzgRXtttwcfb7Smh+2nY4JyDJye6dbGj21nhJthWSG/vYs80ueS5RnGU74LjidYLizTzqeHmV5sx8Tl7y6HiLw3BOf7EUphvMRR/jHg8gmmPwaHi6dHhNu7iMslSjsiw+Wuw9gHuPEqrzCi15NXehj2N/XN9sh0RU9PtDgjiaP9EFy2kfIjjbt9xp8OIu72lfj5HjsdibZTQRAEQRBOVtqewuPs/MSlaMTqvHEnqIEOa6z9BgoX3nGK0llyp98rP4NDxzVW4TlcTOkJdv6c6Xd3+jid4fkLdeA98uBOL8PpCetUencSwzvncXYk4y3/aPDxcXTcdboj5cRUZmyapPA46tJbebGNIw4OZ+rPaTeEpUe1J4/4nMYjffG3H02k4hBLWdBxRKTDGHd6GirDCCj+OM93r/ILg2THrZgJgiAIgnDS0qzv8Dz33HO4/PLLlWF7o1hZEHpXgafION1e05UO+eEf4IuYhsPTXooP5WDm5jyUrHW/bcBTcig+NX3LvNMS/Z2Dyg/88J3hlJAF3wCS636P4MLrMGf/8tD7BcpdEnzXofLPJSidkhcxvSkh9izEqHl+5M3ejd27ySzzBdM/ZMhy+DY7pvUc2oGSnZS/e4tRtmmGCuP5Do/z3aGw8ib/Pj74dvpxkPftKUGRV/oPFWPeS3nYxunZXYh82zs6iZW/JzwVapofc2ZHTsFyU7lpOfxz50afusZT04J5tk3EeyU8Xc4VhtMfVl62Me/GVPiB/v2UNWvcIl1fttk2N1dNNVPuGNO5iqaFxx0xHZCnhzniDTOb5yDXDhYkkfaTMFyvVNbDeIqmIx2x0kPk2mUUFwmc7wcPNDDB7sI8+F7a4apnQRAEQRDaG82q8CxevBhHjhxRhu0Jc+HMUMeI3+cIdpaoE206dq53DFiJ8I2IoUL0GR/2fgDP3efOfslIu7PpMDccGOXZ6T54APBl2w6bfv0Bf4XtCJKF8QXUgQwqWOQOvudQiR0vlSLfldawDm1DL29zJ7/QR+Vg3l+gTjh3uoOd3vD3Gir/TB1u7nyO9GM58kgR4XdYKNwyUkns8uWOd/4yx7sYwXI3iks/+IZp5a5se1FE+hXcsR853K4XDl+EEo8X9ZmEy5/zHLGYA+WblGHfstjv3yi4g0/K2NyG3tVwtzfbOwR1ph1pVcZRjmEmgfdRGoLf33LGXTjF3tEYEmw/iVK2mOt1Lm4YEFJiw0y87/g44PbibBOJnu+xobaKEuyQBRAEQRAEoV3TplZp4xePgx0j98jOzvkYZbtDq16VYdU8H/LifCJtXlTmjqPXy8o50wvhm7cqvHNNncTl+/Mw3NURzDrDh6Lt4d1wBSttXh2uPaswH3NwnSutYR1ajxfGQ1Si+F4/bjBh1KgEP5GnzrkZgQmDyuYlKpsBZP3mTMqvjyz2iI5jZML9Envk0/YsDB8JlKxdSOUQmX5D6QE7BZTPEuTC/0Gk6tao8ucO7GYflpt6VwpQAWAv5BATDqtGkU5eGhzhcZwXESZMwUiw/ahy1vFwGymdN8oRt3N0kIy9WuHy/npxBL0Ih6NdGxNlhCc6/JAAyPumaSuJne/9+odL06NAtkOh23bkgwtBEARBENoTzarwTJ8+HT169FCG7YmSM93RMYo2wkPGdHT1VKXr7NGJ8ClHXiuB8bQi1SFzdObCR1V4dMK22vAT5dDohYML85C/MjRdLSZ2xzu/oOHpV9FxjBap+IDCGE/kuWxA8ljNCeE9wmOImLo3zEclQpK/mUcKUhF80dJPSl4hbAWV0pVHncjwKYCaxpS/gpUeagPgzv+YEuTFM+2KZYyhDj7nt8BPSsGJXyo7qNCTiblamoOYIzyqXML3R5ig8p1Y+4krbmNYiaI2EFJim2mEh6dkIvSwIeHzndqt3zyUoDx7PbhgvJRzQRAEQRDaD82q8IwdOxYvvviiMmxPCGcnuIERHtVJpvD83oieqqTfHeD3D0wnrHCK3enymCZWtlZ3mjnctpElGGXeuVAdLN3JV7CMeT7cEOzIOcnBdXP9WN7Qeyf8JJ3y44tnRMKJegLPHbnciOl0alqPcxqaB6xchORx+fD7T94jPEXT9JPvsKl7jnclytY6O6rU0fT4fktQWd1Nncx5kVMAncRd/mHwlLJtmDOsFCV/jl3matqcUnbsMuJRt2Wk/8X6po67vdneTSKb1M3gyNdCUgkdSjwpnXrUJEaaiJgjPHzOqPbN9WsrdEE/gtuQR/uPp/2Eoc5Nh8IYJd4QCYzwOMvIBbe7oJLdmPO9z3Dk2e/UhcXlgEdqBUEQBEFo59iLF7Qp9HK4oVWgzApX0Vdccq9G5nB7rAIVvvIZr+xEsuwVr0L+HEcsmUz4qlBhsFy1MlWU/UTksr92OhpatYrjjmt1MpZh5Nv5VL4hQitZmdWvOJxOD/ursuf0mNXaYqZPH9vQylfxlX80tAzvcHbao6VP1UmoPhJdpS2yvryMM05Kj6knVzsMrnym8h3e1oN5i0hveNk6yzFkd54LUdpwQu2H8uQV1pU2J1HL1bPt6DRGrgJHcqO2M2ceGYfbVc7BleyixiUIgiAIQnunDSk8dmeVjHdn1u580X7PDrXp2Ngmdqc7JCtkwpWBYIe0IdwdLNURjIzPC2eHNYhnpzASpYhE5EEbZ5zRFR67U2mHD+toG9xpsfPmVS4mPdHqLpyGyz8mqq5dnWqVtjji4HB2Bz66whMqm4TSFQHHEzretF9lIpQIUyY6TdEUDR0Hxcll4NjvbK9hbdcVztBw+9HpiV2fupzc7SGiXFV96bi9z6nI9tBgO3LEGT1eQRAEQRAEy0riH3uwRxAEQRAEQRAEoV3RplZpEwRBEARBEARBaE5E4REEQRAEQRAEod0iCo8gCIIgCIIgCO0WUXgEQRAEQRAEQWi3tEGFpwqlD0/G5AmXYsiQYRh1LdkfLCXfCmy9i+xjhpH/pZg4ZTJuXue3j/GgsgTzp0zEpfz9kpETMfnOYoohgF1LJ2PiSP6miY6j6C0OrP1HjdBhY8YbL/ztkrDv1fC3Q7y+uRL6hor5Ejx/R2bhHvLYsxAzGvrOjyAIgiAIgiAIUWmzq7RVbp6BUff7UPjKTOSk2J7EroeH4OYDc7CNv+5u+0WHv8ZeAP/cbY6vwGuFYtQ8itt8mFIRQOnSJcicQn4ZtlcQjqcEeWHhGVZW5gGzHV+s548y8oc9nQyj9M4G5rm+NM9f0eePg3J6Vp2xCHnbZ8B/zVzg3lXwLZ6JfrZ/Qh8sFQRBEARBEAQhSBud0hbAvjJSDb6dA59D2QH88O8Bsi8aFIeyw3RA12zg8LHPbTdDcb+9y7Y7OLAR5Tm3eCg7xCGSOyUvvi/T81f9zVflp9hf1l/swypWdozb3qcUGVKQRs0rVV/UL1jJX4sfhfk7i7B8Uxl2vKT9zVf2ZbRHEARBEARBEBKjjSo8fpTvBAbm+JBp+yiq/Ch7G8g7f6Dt0RC9kNUfKP+4ynYT7xShuHwQWfyoCOoPVSh5pSvGD0u33S4q/ED/frajIXg0iBQUVnBWFtiKSj/MJEWnEAVYuKcSxfeWIO8aW32yFaRtc3O1m0eDyL1oHKdQ23fvLkQ++c91jFIJgiAIgiAIgtAwbVPhqdiHXRXpGDrQZ3vYvFeGEoxGTrz6TgSkbKwFbrhVKxvVdWqDwJ5iHM4dHXXUqPIDP3xn8F6ewhYacRkyhEdjeFRGu9V7N8gh5aYQc6bkI5fMHMd0upxr5sA/jY5BHoabKXBE2eIhmIe5KJySizkFwLzpxajcU4KinX4c5AA8wjTAF+eoliAIgiAIgiAIhmZVeJ577jlcfvnlyrC9sQQOlGMXMlG2djZm3x0yMxasR+C8HPjChn1ikQXfANrs95OqAlS9tATlI/MxMJX3HUb1UdrU+bHxTR+uPJf9vDl4APBlsy0L4xfziIsx2zBnGCkpm7XbvI8zZEgJfNewskaKDakyMzYV61Gfe4G5fBy/z6NGfiqVslMygkd0bHUmezwWLR6OHYUgZcmPElaiEhphEgRBEARBEATB0KyLFrCic+TIEWXv0aMHXnzxRWVPlLKlw1CwcyY2rJyE0BhPFUruvhSz+xZi5/S43qZRsEJRsH8Otv3Kh1W/8OO6+8Yji1dQGzMfvmW7ccPhQpTmFGC0Y8TFDa+e5r/GsTBBEI9FCxqJUXzCFijgdK714QYURO4TBEEQBEEQBKFB2uCUNj/27Qwgfdggh7JD1O1D2TYg7zzXNLcGyOw7EDhQiR3PFqHrD10ru9WWY8unuTGVncSx3+Fp0OilqPWIEC9YgLAFCobwktZ9hiNvfwHty0eeKDuCIAiCIAiCkDDNqvBMnz5djeywYXujsBcmuDKHFxZw8N5bKMFA5AyIez6bomunXkDFMhR9PBH5Ztpa917gCWLFc9ej18hEXwhyKjT8Do/tHYTf4XFOe9MLEvAS1E6/3fYS11njFmH3snzkzt1m++sFCrapUSx7Sl68K8QJgiAIgiAIghBGsyo8Y8eOVdPY2LC9UZSXYStykTMwfMW0ir/tQkVGLgb1tz0Mh7Zi9pSbUfhWwPbwICMPN08ZimCM6ZnK7vthPvK6a69Y9COZ/gptL1tcADiUl8Ip9qIFvNCADqIIfjzUJmz0hkxoXyWKC4vsRRH4uOXwjxyuR6L2LFTT8eao1d3UbkEQBEEQBEEQEqDtTGmrKsWCKZMxee56cpRh+e2TsWQ3KTHvrSdlZTJmPMrfzinGA1NmYeuH6ghNdTUqD+zFqtf22R7hZJ3hQ86tN7gUmw7oen4+Zl4V3/Q4jsP/gdc3cCrh368XLdg2sgSjeBpaFNwjPKH3cfRCCHnbtSI06sANegED9QFToHDxeIyfXghM01PgBEEQBEEQBEGIn2ZdtODEUYailR2QP6XR61XHxl48YJGaZsZT2gpQpPeoqWjBFdYIHtnhD4nGAytBM8GKDcfGitMiDP+zfTxPayNlJxgzKUAzPrguTJYgCIIgCIIgCLFpHwrP20WkgOQj/zzbLQiCIAiCIAiCQLTBVdoSxY+te3IwSZQdQRAEQRAEQRBctJMpbYIgCIIgCIIgCJG0gxEeQRAEQRAEQRAEb0ThEQRBEARBEAShnQL8/zpwpP5YDu6WAAAAAElFTkSuQmCC"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;5 9
#.#.#...#
.#...#.#.
#.#...#..
.....#.#.
....#...#
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 1 0 0 0
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3 3
...
...
...
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;0 0 0
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3 16
#.#.....#.#..#.#
.#.......#....#.
#.#.....#.#..#.#
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3 0 0
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;15 20
#.#..#.............#
.#....#....#.#....#.
#.#....#....#....#..
........#..#.#..#...
#.....#..#.....#....
.#...#....#...#..#.#
..#.#......#.#....#.
...#........#....#.#
..#.#......#.#......
.#...#....#...#.....
#.....#..#.....#....
........#.......#...
#.#....#....#.#..#..
.#....#......#....#.
#.#..#......#.#....#
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;5 0 1 0 0 0 1 0 0 0 0 0 0 0 0
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD%E3%81%AB%E3%82%84%E3%82%8A%E3%81%9F%E3%81%8B%E3%81%A3%E3%81%9F%E3%81%93%E3%81%A8">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306B;&#x3084;&#x308A;&#x305F;&#x304B;&#x3063;&#x305F;&#x3053;&#x3068;</h3>
<p>&#x300C;&#xFF11;&#x884C;&#x76EE;&#x304B;&#x3089;&#x898B;&#x3066;&#x884C;&#x3063;&#x3066;&#x3001;&#x2715;&#x304C;&#x3042;&#x308C;&#x3070;&#x6570;&#x3048;&#x306A;&#x304C;&#x3089;&#x6D88;&#x3057;&#x3066;&#x3044;&#x3051;&#x3070;&#x3044;&#x3093;&#x3058;&#x3083;&#x306D;&#xFF1F;&#x300D;&#x3068;&#x3044;&#x3046;&#x5358;&#x7D14;&#x306A;&#x8003;&#x3048;&#x306E;&#x3082;&#x3068;&#x5B9F;&#x88C5;&#x3057;&#x3066;&#x3044;&#x3063;&#x305F;&#x306E;&#x306F;&#x3044;&#x3044;&#x3082;&#x306E;&#x306E;&#x3001;&#x7D50;&#x5C40;&#x3046;&#x307E;&#x304F;&#x843D;&#x3068;&#x3057;&#x8FBC;&#x3081;&#x305A;WA x 3&#x306E;&#x672B;&#x306B;&#x30BF;&#x30A4;&#x30E0;&#x30A2;&#x30C3;&#x30D7;&#x3068;&#x306A;&#x3063;&#x305F;&#x56DE;&#x3067;&#x3057;&#x305F;&#x30FB;&#x30FB;&#x30FB;</p>
<p>&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;&#x307F;&#x308B;&#x3068;&#x3001;&#x2715;&#x306E;&#x4E2D;&#x306E;&#x2715;&#x3092;&#x8003;&#x616E;&#x3067;&#x304D;&#x3066;&#x306A;&#x304B;&#x3063;&#x305F;&#x3060;&#x3051;&#x306E;&#x30A2;&#x30DB;&#x3067;&#x3057;&#x305F;&#x3002;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3001;&#x3084;&#x308A;&#x305F;&#x304B;&#x3063;&#x305F;&#x306E;&#x306F;&#x4EE5;&#x4E0B;&#x307F;&#x305F;&#x3044;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>def C():
    from collections import defaultdict

    H, W = map(int, input().split())
    C = [list(input()) for _ in range(H)]

    ans = defaultdict(int)
    for h in range(H):
        left_top = []
        for w in range(W):
            if C[h][w] == &quot;#&quot;:
                if w &lt; W - 1 and C[h + 1][w + 1] == &quot;#&quot;:
                    left_top.append(w)
                else:
                    lt = left_top.pop()
                    n = (w - lt) // 2
                    ans[n] += 1
                    size = n * 2 + 1
                    
                    for i in range(size):
                        C[h + i][lt + i] = &quot;.&quot;
                        C[h + i][w - i] = &quot;.&quot;

    print(*[ans[n] for n in range(1, min(H, W) + 1)])</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc300/submissions/42736227">#42736227</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>BFS&#x3067;&#x3084;&#x308B;&#x3068;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
<a href="https://atcoder.jp/contests/abc300/editorial/6284">&#x89E3;&#x8AAC; by evima</a>&#x3067;&#x306F;DFS&#x3067;&#x30B9;&#x30C3;&#x30AD;&#x30EA;&#x66F8;&#x3051;&#x3066;&#x3066;&#x8CA0;&#x3051;&#x305F;&#x611F;&#x304C;&#x3059;&#x3054;&#x3044;&#x1F607;</p>
<py-cell>def C():
    from collections import defaultdict, deque
    from itertools import product

    H, W = map(int, input().split())
    C = [input() for _ in range(H)]

    ans = defaultdict(int)
    seen = set()
    for h, w in product(range(H), range(W)):
        if (h, w) in seen:
            continue
        seen.add((h, w))
        if C[h][w] == &quot;.&quot;:
            continue

        q = deque([(h, w)])
        n = 0
        while q:
            h, w = q.popleft()
            n += 1
            for i, x in [(h + a, w + b) for a, b in product([1, -1], repeat=2)]:
                if 0 <= 0 1 i <="H" - and (i, x) not in seen: seen.add((i, x)) if c[i][x]="=" "#": q.append((i, ans[(n 1) 4] +="1" print(*[ans[i] for range(1, min(h, w) 1)])< py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc300/submissions/42716480">#42716480</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20AABCC"><a href="https://atcoder.jp/contests/abc300/tasks/abc300_d">D - AABCC</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;1000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1000000000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;2817785
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="try">try</h3>
<p>&#x305B;&#x3063;&#x304B;&#x304F;&#x306A;&#x306E;&#x3067;&#x3084;&#x3063;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;<br>
&#x679D;&#x5208;&#x308A;&#x5927;&#x4E8B;&#x3002;</p>
<py-cell>def D():
    from bisect import bisect_left
    
    N = int(input())
    f_max = int((N / 12) ** (1/2)) + 1
    
    seed = [1] * (f_max + 1)
    
    for i in range(3, f_max + 1, 2):
        if not seed[i]: continue
        for j in range(i * 2, f_max + 1, i):
            seed[j] = 0
            
    facs = [2]
    for i in range(3, f_max + 1, 2):
        if seed[i]: facs.append(i)
    
    ans = 0
    for i in range(len(facs) - 2):
        if facs[i] ** 2 * facs[i + 1] * facs[i + 2] ** 2 &gt; N:
            break
        for j in range(i + 1, len(facs) - 1):
            a2b = facs[i] ** 2 * facs[j]
            idx = bisect_left(facs, (N / a2b) ** (1/2))
            if idx <= j: break elif idx>= len(facs):
                ans += len(facs) - 1 - j
            elif a2b * facs[idx] ** 2 == N:
                ans += idx - j
            else:
                ans += idx - j - 1
                
    print(ans)  </=></py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc300/submissions/42888284">#42888284</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Dice%20Product%203"><a href="https://atcoder.jp/contests/abc300/tasks/abc300_e">E - Dice Product 3</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;6
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;239578645
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;7
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;0
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;300
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;183676961
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;979552051200000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;812376310
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="try_2">try</h3>
<p>&#x305B;&#x3063;&#x304B;&#x304F;&#x306A;&#x306E;&#x3067;&#x3084;&#x3063;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;  </p>
<p>&#x4E00;&#x65E6;MOD&#x306E;&#x3053;&#x3068;&#x306F;&#x5FD8;&#x308C;&#x3066;&#x4F8B;&#x984C;1&#x3092;&#x624B;&#x8A08;&#x7B97;&#x3057;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;</p>
<ul>
<li>(6) : $\frac{1}{6}$</li>
<li>(2, 3), (3, 2) : $\frac{1}{18}$</li>
</ul>
<p>&#x3055;&#x3089;&#x306B;&#x4EE5;&#x4E0B;&#x306E;&#x30D1;&#x30BF;&#x30FC;&#x30F3;&#x3067;&#x306F;&#x7B49;&#x6BD4;&#x7D1A;&#x6570;&#x306B;&#x306A;&#x308B;&#x306E;&#x3067;&#x3001;</p>
<ul>
<li>(2, 1, 3), (2, 1, 1, 3)... : $\frac{1}{18} \times (\frac{1}{6} + \frac{1}{6 ^ 2} + \frac{1}{6 ^ 3} + ... + \frac{1}{6 ^ \infty}) = \frac{1}{18} \times \frac{1}{5}$</li>
</ul>
<p>&#x5408;&#x8A08;$\frac{7}{30}$&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;<br>
&#x52A0;&#x3048;&#x3066;&#x3001;&#x6700;&#x521D;&#x306B;1&#x304C;1&#x56DE;&#x4EE5;&#x4E0A;&#x9023;&#x7D9A;&#x3057;&#x3066;&#x4E0A;&#x306E;&#x30D1;&#x30BF;&#x30FC;&#x30F3;&#x3092;&#x8FBF;&#x308B;&#x78BA;&#x7387;&#x3082;&#x540C;&#x69D8;&#x306B;&#x7B49;&#x6BD4;&#x7D1A;&#x6570;&#x306B;&#x306A;&#x308B;&#x306E;&#x3067;&#x3001;&#x7D50;&#x679C;&#x3068;&#x3057;&#x3066;
$$
\big(1 + \frac{1}{5}\big) \times \frac{7}{30} = \frac{7}{25}
$$</p>
<p>&#x306B;&#x306A;&#x308B;&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3059;&#x306D;&#x3002;<br>
&#x306F;&#x3044;&#x3001;<strong>&#x305D;&#x3082;&#x305D;&#x3082;&#x78BA;&#x7387;&#x3060;&#x3059;&#x306E;&#x304C;&#x30E0;&#x30BA;&#x3044;&#x3002;</strong></p>
<p>&#x3053;&#x306E;&#x624B;&#x8A08;&#x7B97;&#x306E;&#x6BB5;&#x968E;&#x3067;&#x3060;&#x3044;&#x3076;&#x6642;&#x9593;&#x639B;&#x304B;&#x3063;&#x3066;&#x3093;&#x306E;&#x306B;&#x3001;&#x5B9F;&#x88C5;&#x306B;&#x843D;&#x3068;&#x3057;&#x8FBC;&#x3080;&#x3063;&#x3066;&#x306A;&#x3063;&#x305F;&#x3089;&#x3069;&#x306A;&#x3044;&#x305B;&#x3044;&#x3063;&#x3061;&#x3085;&#x3046;&#x306D;&#x3093;&#x1F621;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;<a href="https://atcoder.jp/contests/abc300/editorial/6279">&#x89E3;&#x8AAC;</a>&#x3092;&#x307F;&#x307E;&#x3059;&#x3002;&#x66F0;&#x304F;&#x3001;</p>
<blockquote>
<p>dp(n) : (&#x6301;&#x3063;&#x3066;&#x3044;&#x308B;&#x6570;&#x304C;n&#x3067;&#x3042;&#x308B;&#x72B6;&#x614B;&#x304B;&#x3089;&#x30B9;&#x30BF;&#x30FC;&#x30C8;&#x3057;&#x305F;&#x3068;&#x304D;&#x306B;, &#x6700;&#x7D42;&#x7684;&#x306B;&#x6301;&#x3063;&#x3066;&#x3044;&#x308B;&#x6570;&#x304C;N&#x306B;&#x4E00;&#x81F4;&#x3059;&#x308B;&#x78BA;&#x7387;)&#x3068;&#x5B9A;&#x7FA9;&#x3059;&#x308B;&#x3068;&#x3001;&#x7B54;&#x3048;&#x306F;dp(1) </p>
</blockquote>
<p>&#x305D;&#x3057;&#x3066;dp(n)&#x306F;&#x4EE5;&#x4E0B;&#x306E;&#x3088;&#x3046;&#x306B;&#x306A;&#x308B;&#x3068;&#x306E;&#x3053;&#x3068;&#x3002;</p>
<div>$$
\begin{align}
&amp; DP(n) = \frac{1}{6}\big(DP(n) + DP(2n) + DP(3n) + DP(4n) + DP(5n) + DP(6n)\big)\\
\Leftrightarrow \:&amp; \frac{5}{6}DP(n) = \frac{1}{6}\big(DP(2n) + DP(3n) + DP(4n) + DP(5n) + DP(6n)\big)\\
\Leftrightarrow \:&amp; DP(n) = \frac{1}{5}\big(DP(2n) + DP(3n) + DP(4n) + DP(5n) + DP(6n)\big)\\
\end{align}
$$</div>

<p>&#x3042;&#x308C;&#x3001;&#x624B;&#x8A08;&#x7B97;&#x3067;&#x624B;&#x3053;&#x305A;&#x3063;&#x305F;1&#x304C;&#x51FA;&#x308B;&#x5834;&#x5408;&#x306E;&#x30D1;&#x30BF;&#x30FC;&#x30F3;&#x304C;&#x30AD;&#x30EC;&#x30A4;&#x306B;&#x6D88;&#x3048;&#x3068;&#x308B;&#x2026;<br>
&#x305D;&#x3057;&#x3066;&#x3081;&#x3063;&#x3061;&#x3083;&#x7C21;&#x5358;&#x305D;&#x3046;&#x306A;&#x518D;&#x5E30;&#x547C;&#x3073;&#x51FA;&#x3057;&#x306B;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x3002;&#x5B9F;&#x88C5;&#x3059;&#x308B;&#x3068;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
&#x3061;&#x306A;&#x307F;&#x306B;&#x671F;&#x5F85;&#x5024;&#x306E;MOD&#x306B;&#x3064;&#x3044;&#x3066;&#x306F;<a href="https://arakaki.tokyo/abc280/#mod%E3%81%AE%E9%99%A4%E6%B3%95%E3%82%92%E7%90%86%E8%A7%A3%E3%81%99%E3%82%8B">ABC280&#x306E;E&#x554F;&#x984C;</a>&#x3067;&#x3070;&#x3063;&#x3061;&#x308A;&#x7406;&#x89E3;&#x3057;&#x305F;&#x901A;&#x308A;<code>pow</code>&#x95A2;&#x6570;&#x3067;&#x4E00;&#x767A;&#x3067;&#x3059;(&#x7406;&#x89E3;&#x3057;&#x305F;&#x3068;&#x306F;&#x8A00;&#x3063;&#x3066;&#x306A;&#x3044;)&#x270C;</p>
<py-cell>def E():
    from functools import lru_cache
    MOD = 998244353
    N = int(input())
    
    @lru_cache(None)
    def dp(n):
        if n &gt; N: return 0
        elif n == N: return 1
        else: return sum(dp(i * n) for i in range(2, 7)) * pow(5, -1, MOD) % MOD
    
    print(dp(1))</py-cell>
<py-cell>test(E, test_dataE[0])</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc300/submissions/42947625">#42947625</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html--></=></py-cell>]]></content:encoded></item><item><title><![CDATA[ABC299の振り返り]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc299"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Tokio Marine &amp; Nichido Fire Insurance Programming Contest 2023&#xFF08;AtCoder Beginner Contest 299) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO</py-cell>]]></description><link>https://arakaki.tokyo/abc299/</link><guid isPermaLink="false">648454f5d10f8c0001619b0d</guid><category><![CDATA[競プロ]]></category><category><![CDATA[二分探索]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sat, 10 Jun 2023 10:55:32 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc299"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Tokio Marine &amp; Nichido Fire Insurance Programming Contest 2023&#xFF08;AtCoder Beginner Contest 299) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="A%20-%20Treasure%20Chest"><a href="https://atcoder.jp/contests/abc299/tasks/abc299_a">A - Treasure Chest</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>A</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataA = [
    {
        &quot;in&quot;:&quot;&quot;&quot;10
.|..*...|.
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;in
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;10
.|..|.*...
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;out
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3
|*|
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;in
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def A():
    pass

test_all(A)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x6B63;&#x898F;&#x8868;&#x73FE;&#x6BBA;&#x3057;&#x3092;&#x610F;&#x56F3;&#x3057;&#x305F;&#x3067;&#x3042;&#x308D;&#x3046;&#x8A2D;&#x554F;&#x3067;&#x3059;&#x304C;&#x3001;&#x7D30;&#x3005;&#x78BA;&#x8A8D;&#x3059;&#x308B;&#x6642;&#x9593;&#x304C;&#x60DC;&#x3057;&#x3044;&#x306E;&#x3067;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3067;&#x3059;&#x3002;</p>
<py-cell>def A():
    input()
    S = input()

    a, b = [i for i, c in enumerate(S) if c == &quot;|&quot;]
    c = S.index(&quot;*&quot;)
    if a &lt; c &lt; b: print(&quot;in&quot;)
    else: print(&quot;out&quot;)</py-cell>
<py-cell>test_all(A)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc299/submissions/40832394">#40832394</a></p>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x6B63;&#x898F;&#x8868;&#x73FE;&#x306E;&#x7DF4;&#x7FD2;&#x3002;&#x305F;&#x307E;&#x306B;&#x89E6;&#x308C;&#x306A;&#x3044;&#x3068;&#x5FD8;&#x308C;&#x3061;&#x3083;&#x3044;&#x307E;&#x3059;&#x306D;&#x1F629;<br>
&#x6B63;&#x898F;&#x8868;&#x73FE;&#x69CB;&#x6587;&#x3082;&#x305D;&#x3046;&#x3060;&#x3057;&#x3001;re&#x30E2;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x306E;<a href="https://docs.python.org/ja/3/library/re.html#search-vs-match"><code>search()</code>&#x3068;<code>match()</code>&#x306E;&#x9055;&#x3044;</a>&#x3068;&#x304B;&#x3002;</p>
<py-cell>def A():
    import re
    input()
    print(&quot;in&quot; if re.search(r&quot;\|.*\*.*\|&quot;, input()) else &quot;out&quot;)</py-cell>
<py-cell>test_all(A)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc299/submissions/41929387">#41929387</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="B%20-%20Trick%20Taking"><a href="https://atcoder.jp/contests/abc299/tasks/abc299_b">B - Trick Taking</a></h2>
<p>&#x7565;</p>
<p>&#x95A2;&#x4FC2;&#x306A;&#x3044;&#x3067;&#x3059;&#x3051;&#x3069;&#x3001;&#xFF11;&#x30F6;&#x6708;&#x4EE5;&#x4E0A;&#x7A7A;&#x3051;&#x3066;&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;<a href="https://atcoder.jp/contests/abc299/submissions/41929904">&#x65B0;&#x9BAE;&#x306A;&#x6C17;&#x6301;&#x3061;&#x3067;&#x66F8;&#x3044;&#x305F;&#x30B3;&#x30FC;&#x30C9;</a>&#x304C;&#x3001;&#x5F53;&#x6642;&#x306E;<a href="https://atcoder.jp/contests/abc299/submissions/41929904">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x63D0;&#x51FA;</a>&#x3068;&#x5168;&#x304F;&#x540C;&#x3058;&#x3067;&#x3001;&#x306A;&#x3093;&#x3060;&#x304B;&#x8907;&#x96D1;&#x306A;&#x6C17;&#x6301;&#x3061;&#x306B;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x3002;&#x3002;
(&#x6210;&#x9577;&#x3057;&#x3066;&#x306A;&#x3044;&#x3068;&#x898B;&#x308B;&#x3079;&#x304D;&#x304B;&#x3001;&#x3053;&#x306E;&#x554F;&#x984C;&#x306B;&#x5FC5;&#x8981;&#x306A;&#x77E5;&#x8B58;&#x306F;&#x5B9A;&#x7740;&#x3057;&#x3066;&#x3044;&#x3066;&#x90FD;&#x5EA6;&#x5F15;&#x304D;&#x51FA;&#x3057;&#x53EF;&#x80FD;&#x3068;&#x898B;&#x308B;&#x3079;&#x304D;&#x304B;&#x1F914;)</p>
<h2 id="C%20-%20Dango"><a href="https://atcoder.jp/contests/abc299/tasks/abc299_c">C - Dango</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;10
o-oooo---o
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;4
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1
-
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;-1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;30
-o-o-oooo-oo-o-ooooooo--oooo-o
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;7
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;5
oooo-
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;4
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;5
-----
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;-1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2
-o
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x63D0;&#x51FA;&#x304C;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<ul>
<li>&#x9023;&#x7D9A;&#x3057;&#x305F;<code>o</code>&#x306E;&#x6700;&#x5927;&#x5024;&#x3092;&#x6C42;&#x3081;&#x308B;</li>
<li>&#x56DE;&#x7B54;<ul>
<li><code>-</code>&#x304C;&#x542B;&#x307E;&#x308C;&#x306A;&#x3044;(=ans: -1)&#xFF1A;<code>-1</code></li>
<li><code>o</code>&#x304C;&#x542B;&#x307E;&#x308C;&#x306A;&#x3044;(=ans: 0)&#xFF1A;<code>-1</code></li>
<li>&#x4E0A;&#x8A18;&#x4EE5;&#x5916;&#xFF1A;<code>ans</code></li>
</ul>
</li>
</ul>
<p>&#x3053;&#x3053;&#x3089;&#x3078;&#x3093;&#x306E;&#x8003;&#x3048;&#x65B9;&#x3092;&#x30AD;&#x30EC;&#x30A4;&#x306B;&#x5B9F;&#x88C5;&#x306B;&#x843D;&#x3068;&#x3057;&#x8FBC;&#x3081;&#x305A;&#x3001;WA x 2&#x3068;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x30FB;&#x30FB;&#x30FB;(&#x2B07;&#x306E;AC&#x30B3;&#x30FC;&#x30C9;&#x3082;&#x5834;&#x5F53;&#x305F;&#x308A;&#x7684;&#x306B;&#x4FEE;&#x6B63;&#x3057;&#x3066;&#x5206;&#x304B;&#x308A;&#x3065;&#x3089;&#x3044;&#x1F607;)</p>
<py-cell>def C():
    N = int(input())
    S = input()

    ans = -1
    now = 0
    for c in S:
        if c == &quot;o&quot;:
            now += 1
        else:
            ans = max(ans, now)
            now = 0
    if ans != -1:
        ans = max(ans, now)
    print(ans if ans != 0 else -1)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc299/submissions/41999202">#41999202</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A%EF%BC%9Are%E3%83%A2%E3%82%B8%E3%83%A5%E3%83%BC%E3%83%AB%E3%82%92%E4%BD%BF%E3%81%86">&#x632F;&#x308A;&#x8FD4;&#x308A;&#xFF1A;re&#x30E2;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x4F7F;&#x3046;</h3>
<p>A&#x554F;&#x984C;&#x306E;&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;re&#x30E2;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x4F7F;&#x3063;&#x305F;&#x306E;&#x3067;&#x3053;&#x3053;&#x3067;&#x3082;&#x4F7F;&#x3063;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;<br>
&#x21DB;<a href="https://docs.python.org/ja/3/library/re.html#re.findall"><code>re.findall(pattern, string, flags=0)</code></a></p>
<p>&#x8003;&#x3048;&#x65B9;&#x306F;&#x540C;&#x3058;&#x3067;&#x3001;</p>
<ul>
<li>&#x9023;&#x7D9A;&#x3059;&#x308B;<code>o</code>&#x306E;&#x500B;&#x6570;&#x306E;&#x6700;&#x5927;&#x5024;&#x304C;1&#x4EE5;&#x4E0A;&#x304B;&#x3064;<code>-</code>&#x3092;&#x542B;&#x3080;&#xFF1A;&#x9023;&#x7D9A;&#x3059;&#x308B;<code>o</code>&#x306E;&#x500B;&#x6570;&#x306E;&#x6700;&#x5927;&#x5024;</li>
<li>&#x4E0A;&#x8A18;&#x4EE5;&#x5916;&#xFF1A;<code>-1</code></li>
</ul>
<p>&#x307E;&#x3041;&#x307E;&#x3041;&#x30B9;&#x30C3;&#x30AD;&#x30EA;&#x66F8;&#x3051;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x304C;&#x3001;&#x5B9F;&#x306F;&#x8A18;&#x61B6;&#x30BC;&#x30ED;&#x3067;&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;&#x3084;&#x3063;&#x3066;&#x307F;&#x305F;&#x6642;&#x3082;&#x5927;&#x5206;&#x30CF;&#x30DE;&#x308A;&#x307E;&#x3057;&#x305F;&#x30FB;&#x30FB;&#x30FB;&#x3002;2&#x30F6;&#x6708;&#x5F31;&#x30B5;&#x30DC;&#x308B;&#x3068;&#x3053;&#x306E;&#x4F53;&#x305F;&#x3089;&#x304F;&#x3002;&#x3002;&#x7CBE;&#x9032;&#x3057;&#x307E;&#x3059;&#xFF01;</p>
<py-cell>def C():
    import re
 
    N = int(input())
    S = input()
 
    max_len = max(len(m) for m in [&quot;&quot;] + re.findall(&quot;o+&quot;, S))

    if max_len &gt; 0 and &quot;-&quot; in S:
        print(max_len)
    else:
        print(-1)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc299/submissions/42114972">#42114972</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc299/editorial/6238">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;<br>
&#x3042;&#x3001;<code>split</code>&#x30FB;&#x30FB;&#x30FB;&#x3002;&#x305D;&#x306E;&#x624B;&#x304C;&#x3042;&#x3063;&#x305F;&#x304B;&#x1F62D;</p>
<p>&#x3042;&#x3068;&#x300C;&#x7279;&#x5B9A;&#x306E;&#x6587;&#x5B57;&#x3092;&#x542B;&#x3080;&#x300D;&#x306F;<code>set</code>&#x3067;&#x4E00;&#x767A;&#x5224;&#x5B9A;&#x3067;&#x304D;&#x307E;&#x3059;&#x306D;&#x3002;</p>
<py-cell>def C():
    input()
    S = input()
    print(max(map(len, S.split(&quot;-&quot;))) if set(&apos;o-&apos;) == set(S) else &quot;-1&quot;)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc299/submissions/42115796">#42115796</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Find%20by%20Query"><a href="https://atcoder.jp/contests/abc299/tasks/abc299_d">D - Find by Query</a></h2>
<p>&#x7565;</p>
<p>&#x7D50;&#x8AD6;&#x304B;&#x3089;&#x8A00;&#x3046;&#x3068;&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x300C;&#x540C;&#x3058;&#x6587;&#x5B57;&#x304C;&#x9023;&#x7D9A;&#x3057;&#x3066;&#x306A;&#x3044;&#xFF01;&#x306B;&#x3076;&#x305F;&#x3093;&#x4F7F;&#x3048;&#x306A;&#x3044;&#xFF01;&#x5206;&#x304B;&#x3089;&#x3093;&#x5BDD;&#x308B;&#xFF01;&#x300D;&#x3068;&#x3042;&#x3063;&#x3055;&#x308A;&#x8AE6;&#x3081;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x305D;&#x3053;&#x3067;&#x3082;&#x3046;&#x3061;&#x3087;&#x3044;&#x7C98;&#x3063;&#x3066;&#x300C;&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x306B;&#x5F53;&#x3066;&#x306F;&#x3081;&#x3066;&#x307F;&#x308B;&#x3068;&#x3069;&#x3046;&#x306A;&#x308B;&#x304B;&#x300D;&#x3092;&#x8003;&#x3048;&#x3066;&#x307F;&#x308C;&#x3070;&#x3001;&#x540C;&#x3058;&#x6587;&#x5B57;&#x304C;&#x9023;&#x7D9A;&#x3057;&#x3066;&#x306A;&#x304F;&#x3068;&#x3082;&#x9069;&#x7528;&#x3067;&#x304D;&#x308B;&#x3053;&#x3068;&#x306B;&#x6C17;&#x3065;&#x3051;&#x305F;&#x306F;&#x305A;&#x3002;</p>
<p>&#x3084;&#x308B;&#x304B;&#x3089;&#x306B;&#x306F;&#x5FC3;&#x8EAB;&#x3068;&#x3082;&#x306B;&#x4E07;&#x5168;&#x306E;&#x30B3;&#x30F3;&#x30C7;&#x30A3;&#x30B7;&#x30E7;&#x30F3;&#x3067;&#x81E8;&#x3080;&#x3079;&#x304D;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x6700;&#x8FD1;&#x306F;&#x5FD9;&#x3057;&#x3055;&#x306B;&#x304B;&#x307E;&#x3051;&#x3066;&#x30BB;&#x30EB;&#x30D5;&#x30DE;&#x30CD;&#x30B8;&#x30E1;&#x30F3;&#x30C8;&#x304C;&#x3067;&#x304D;&#x3066;&#x304A;&#x3089;&#x305A;&#x3001;&#x5947;&#x3057;&#x304F;&#x3082;Atcoder&#x3067;&#x305D;&#x308C;&#x3070;&#x9855;&#x5728;&#x5316;&#x3055;&#x308C;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x307E;&#x305A;&#x306F;&#x751F;&#x6D3B;&#x30EA;&#x30BA;&#x30E0;&#x3092;&#x6574;&#x3048;&#x308B;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3068;&#x3001;&#x30EB;&#x30FC;&#x30C6;&#x30A3;&#x30F3;&#x306E;&#x6709;&#x7528;&#x6027;(&#x6BCE;&#x9031;&#x571F;&#x66DC;&#x306E;Atcoder&#x306E;&#x7D50;&#x679C;&#x3001;&#x3068;&#x3044;&#x3046;&#x3088;&#x308A;&#x3044;&#x304B;&#x306B;&#x3057;&#x3066;&#x554F;&#x984C;&#x3092;&#x89E3;&#x3051;&#x305F;&#x304B;or&#x89E3;&#x3051;&#x306A;&#x304B;&#x3063;&#x305F;&#x304B;&#x3067;&#x30B3;&#x30F3;&#x30C7;&#x30A3;&#x30B7;&#x30E7;&#x30F3;&#x304C;&#x5206;&#x304B;&#x308B;)&#x3092;&#x518D;&#x8A8D;&#x8B58;&#x3067;&#x3059;&#x3002;</p>
<p>&#x3068;&#x8A00;&#x3044;&#x3064;&#x3064;&#x3001;&#x76F4;&#x8FD1;&#x3067;&#x306F;&#x305D;&#x306E;&#x30EB;&#x30FC;&#x30C6;&#x30A3;&#x30F3;&#x3059;&#x3089;&#x3053;&#x306A;&#x305B;&#x3066;&#x306A;&#x3044;&#x306E;&#x304C;&#x554F;&#x984C;&#x3067;&#x3059;&#x30FB;&#x30FB;&#x30FB;</p>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC298の振り返り(B, C, D)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc298"><div class="kg-bookmark-content"><div class="kg-bookmark-title">TOYOTA MOTOR CORPORATION Programming Contest 2023#1 (AtCoder Beginner Contest 298) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.</py-cell>]]></description><link>https://arakaki.tokyo/abc298/</link><guid isPermaLink="false">6444e89126632300010d9f90</guid><category><![CDATA[競プロ]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 23 Apr 2023 08:17:55 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc298"><div class="kg-bookmark-content"><div class="kg-bookmark-title">TOYOTA MOTOR CORPORATION Programming Contest 2023#1 (AtCoder Beginner Contest 298) - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="B%20-%20Coloring%20Matrix"><a href="https://atcoder.jp/contests/abc298/tasks/abc298_b">B - Coloring Matrix</a></h2>
<p><img alt src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzIAAAH8CAYAAAAKSJrAAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAK+USURBVHhe7P0PeBXlnTf+v/tjr/Bdr+K2hGVr2CqnRaG1pCrhEojmqWk0igvRFdFCoDVh+xNtk9hd0Gch+f6a4FWJTyXJtQF/jyR9hNgCtoVgQfKI8SlfwlKT8ucoNhHqCXQTVkqoJS795Vxyze++Z+45Z2bOzDlz8o8cfL90yJk5c+bcc889M/dn7nvmfEYTQERERERElEL+X+ovERERERFRymAgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaWcqyCQCaImKwtZYijd3aemERERERHR1cz7BzGP1SBrRZMascuuaEHtwh4RQBTBfY5CNHaUIVO+PNeM0vlVaNOnO2WjvCKAqkr3pejmlaOlrgDpajSWDGSMdBjp8p6TiIiIiIiuDj5aZGRQ0oEOMTQuV5NsRDCy13i/Y3OhmuZCBiRqOR0djWKpREREREREg3PlW2T21qJgsjEWrJuHoi3i05sPoewWY5qhD80l+ag6pEYHoXBzh2OZRERERESUqsZAi0z0HpeiLWExHkbTCmM8K6tGvEtERERERGQ3ejf7H6pCvgpYslxbcqIBU8fechEeWaWjoM54761nc9W0XKzbbwZGluE3r+CJDGOOtEc24ZCaztYYIiIiIqKrx8h3LUsoerN+LJflhNtRnbcSOy4BGcsb8fOSTKSpt6T+/WuR/8w+hJGBJ7bsRtFX1RtERERERHTVSKprmTkYTwbLRJljemzXsmi3Ma+hdHdIzRuvRcYibTaK/8V4t3dLFTYek93RlEvtaKiTQYyYLb8MDzOIISIiIiK6KvnuWhascw9EjKEUzefUjIPWhCJzeZ4PBzCk31+G1TPlqxCaSlahuVe8vNyL5rWlaJKvr8nG00/mYoKchYiIiIiIrjojfI+Mo9XGbLGx3PhfuzBgTPPbIiONC2Dxs2Kea8TrS22oKqlCzbOlqDqgt8Ug+1+eRoG6T4aIiIiIiK4+yQcyyxujgUmigEOSj1+WrSwlzYj87r7lxv+aY2paEi0yuowCPF9XCD0M6m5Gk95FLQ3TV7yI5xcyiiEiIiIiupqN3lPLMia5d/W6NAnZJfdi+jVAQARJhw40onCqCEluKkD5luK4DwwYuCaATDGvzaV+9F9Wr4mIiIiI6KqUfCCzpUjdF+Oz5eRMyJinqx3He9WN+WbXsp+Xob1kIVbW7UPXpQkIZIzHwF9NwozMAMLvN6Nq+V24q6I12pKj9He3ofEH+chfUoXmbhEALVyHTc8WiGAojK6fliI/fyUaf9OLMAMaIiIiIqKr0vC2yHyi/kaE0f7WDuPlO01YWaFehwdw/qN+9GdkoyArE/euWIdX9r+F6kXTMSEtA/dWvIqWzauxeOZsrCzKhXxGWrgvhPbdNSidPw93LSrFxgN9CH9uNp6ob8GrFfdidn45Xvn5Jjxx+wTgo3ZsfHIhvrGgFDW7g+i9ZHwtERERERFdHXz8jozxWy6ok7+8L0blPTIljg5f8j4YW+uM+v2X7h0oWlSN4DWLse75DDSvqUH7R2oW38SyfnMfOh5cio3yiWSSCGAKV5WhOE8EPuPUNIu+3zRhQ+1G7HvffDTzBNz7/M+x7i4ZEhERERERUarzHcjE/XHLy+2ouX2l8aOW10xHQcXzKM/LAPq70Fy3ET33P48nbkkT84XR29WKg/sO4q1jIZzv7UIoUWAju6HVFSCtpQpF+yegcOli3DczA2kuAYyT7ILW3NiA5vBivPjcvXrLDhERERERpT7vQIaIiIiIiGiMGr2nlhEREREREQ0TBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpRxfgUywLgulu/vU2FjUh+aSGgTPNaO0LqimRfW/04TVz1Rj4wtVWP38PvReVm9czfq70PzcDsTmRmro+mkRli7Jx7ysLMx7vh1hNR0IYUfJUuTniOnzl2Lp823oV+8MXR9anxPLXHQXssT3Fv28V00X+ttQs/xh3CWm37VoKVZuD6k3PiXCQdQsFPuYGvWjd+/qyDaUebZ0uRoWPYyi55oRuqRm9ClYV4rmcyIdJc1iSxEREdGnnpbIh7u0klkbtONq1JU+zyxtlp+h1mNJchle71mcby7RNhxVI1ZHN2glzee147Ul2q4P1TRJLvc727UPPjFGB35dqS3adFwbMEZdHa+d5f4do8wrHTIP5Lq66tqlrfp+ibbmXx4T+Z1guw3KcW3DiCzXRfsG7bHvyPVYpb3+JzVNebtWpEFtUyeZP0Y5k2l1KYOzHGXEoeeXleJ752qzFjRonbbv6NF2/XiX5sx5/fsSfEfcbeaTLA/6Mjz3N2O7jER6Ptgmt0P8fHMVrNfmzlqjvXlRjUufdGoNC2ZpC8Q2ct0P1b4cQx0jZNqt+0XMPh+PW959P3abDsVQjh+D+WxS609ERHQV+Yz8R8U0rmRrTNEWNWK1vBEdJZlqxK5vdym2Xl+LsltkS8lWBOrK4JzTc7kOhZs7xHLUiBBdtpogyGW15tjnM3X9ZCGW9q+LplW22szvwuJDq5GdZkxykld+Q4/WomCymuAh7jo48+dYDUrPLEPtwnQ1IUquUyUqHO955537/A7i+7JWAI0dsZ833mtSI3HMK0dLXQHs3yKviIewLGa6k5gvqwhe3+Lcrm5C22sQun0G9i1ai/PP7Ebjogz1Thcan+vBw8/kYoKaYpJ5k99d7Fk2Ewujra4Jk/KAVcs34476/4PVt6uC0t+K6p9PwerHphvjNnJ7VQJrreUmmlfw2mZ6eaxCmxrVuexbsqw1TG2Jv81tBpkeNzKNi9aj7dJslO9NvF9Y9e5ciYU778KrWxYjoKYZactHFdzKl+Cyr3iX+fjlTEpY1tT+kF3hlb/W78hOmAe245F1+zr3J7/7oSoPetmutJUUD4Xu+z0REdHVRg9nvBzdoF+xtF8dPa/t+r7LFUA1b/whzpX8IbXIeLUSnNdef2qW9vgve9S4cPFNbc2sBVpDlxpX5JVQ9zRHh8RXsFULgMt6xL8CLvPUmX6xLI8rxb6upuvbI05+O+lXqr3m92rZsA4+rgqrMuLvirPYdtXbtQ+0Ae3takfriEjrBus2VWS+eLb4+XZcq68+KL61R9v+HbFeT7+uRRoTRPo3tKvXMdzKYHQbum0zo8wZ+WYt1/p6WPIz0hKTlOTT425AO1hdqb3Zvl1b4nvbmcRnfzRLm7vJsU3+66C2/s5Z2mOvxm5Dncjn2LR5HHdkuR3mFpX4ZDrMMm/NX+t0I5+M7Ridx09rC1tkiIiI/PO+R0ZeSdSv6HeguDsfNceMyX27K9GaV+F6RVJe0ewQ87dUZOtXQTs6WlA+T14dNF+rGSW5/Kws/V4EfZBXLbcURcflEOkLL6+IGtPkFcmmFc55MrGsIoQGl/t4Bj4B0saNV2PChEmYhF5cdPTPzyyRaTTTKa+6muPRIe7Va3l1NasBAfk5j9aAwPVen09HQRHs6T8XQmhaQL96K6/ERtZX5UFbZb4x7nJPUPJE/s4PoVi/iiuv2os8lVfFI+nJRJmZD3vLkS2vLFvyxRgSX6XOagzon0vUEqO7/AE6J8xAAGn4es4DSOvdjOYO406Z/mAXrr3ZbJ2JSl9Yq/Jelhd5P4UxPSm9IYRvniG+NQN33C+WtX8HXv+D8VbX0TAy3RpjpGOtaBL/FZnbKcF9HHKbFqExkm893dEr7fp67M1F6zpjGbJs6mVP32d83qeSZHo8vd+E5usLkXv9eLHfJKsTx/cCuaIcR1zuRXNlJY4/UIvnH7RuQ9lKo9K6oilavvVBrrPcRwKo2uZYe7G92tR+kpjlO9wGtzySeW7bx0Q66swyb231iE5vXA79GKW3DFrmmTI1W70aBvrxxki3n5ZtIiKiq5FnIBPc1orcvcZJWFakcg9kobTE6LbjVaE3Kx/RYCMfVYfMypR8rWaUJhegNlIJFoOsIMsuFNZpkW4Y0Yp043J7kNE4rQpbRZCVvrAYgcqtjkpeD0LW7/StDVXzVeVGDd4PO1CVI72LSPRzzvmtFVVXt+QisP9gtCIlKmiYOkV/qVds1frKQQaKZtA4+C5UUX27G4DNZoVLBIV5rdiKZcjd78xP5VAV8i15kxUvaFABq17ZinzOR5Dx+3dEUmboL9OyCrAiI4wdO1v1G/tD7wHTp+pvuZLr07S8GHcctgeAtsEjAOx/L4SMrxqlLiNvMXJFDjS1dImxPnR+OBUBZ182JXjA6JqkbxNZltV0VyJPKisDaIxsuz6ETmUjYK3Xi/2jeForDlryKbitCqhYBsig0G2dxGCWu6TS40UGHduA4kUiEEnP0LuGhc547QcuujvRdikNod3rsXbNWjGsxspHViF410/wkx9kI32cmk8XDQSiF0LMcXWR4pZlKD/VYCs7fWfEfuK8ABIZnOXMGoRYhs2F4j1xXFnr0s3Nsh/6I7el+OPa9TZg38aibJkXaMxB7ie2CzWu+4r4nLrIFHOBiIiI6NNEtczEp3cJKtE2NG/w1Y0jcfcIP12V1GD7vtjuMtYuObHfa3T3sHdTMb7bLX1GVxD5vfZuPXJeZzcRyZzfrYuO/Jx1euI8cXSdce1eY5Df6/VehL7NnF2L3Lh1QXJj6ToT2SbmZ9V7tm5d5vxu3V7k5+J3hzm/Z4O2y9LzqOdVebP5Y9r2M51aw7/GKYNxushZy4qX45s2aG9HbvBX3druXK+9/eGbWqVXtzX9Oy3rH9l2Yj1dunLFbj/3bWBLr9yeHvue6wMukkiPl4tvrNc2tJu348s0JtfF7eIba0TeifWyPjDhkx69XHg/cMOxH0iWfcFPuk1+ulzJ5cW72T+6DYz1jxyX9MGlnOn7nfu+7ic9iY8Tgty+lrLoPNYQERF9WsR9/LLeHUheFTyQC9kFpmxhGWrXApVymrUbhqObWOxVRcugf85oYZFXXg1m9zOjW4Z+NVONR1tlBNndanmuajmIJbtuOK8Yj/8r4PxfLqoxoa8XIWTg2mvUuOlYDfL35+pdn/Q0SGK9Gk6VY9ktRqtI5MqwYN58LNPo1kKVWdJoayFydisxHiWrRnTpuCMPCFme+DsqZJ7OCyDRNedgXT5a8+QV/kaxtQyy5SNUsUxsD3mlu8Vytdy80VxuQ7cuZ2L7b3bpJhQRRuepazHDcvU60jpS34DOaTNir5zrZBc5eWO1WKeYq9h+hNAZzsSMSEtBGmbfvwIZl3bg1Rf2YeCrli5SFrKlJCBbEHJajTK+IoTcOe4plGTrnK2boewG5lKuI614cv+SLX6HQugxpsSVbHpchYPY+konQjsrVWtKA9rFPtPW7ScFhs7gPuDOTASsLS/jMpA5J4DQ5lZ0qkl2PWIr5OIOj26K6dcHkkpDPPL4pt88f8je8mXV0y1KRaM8dqluo+ZxSQ6bgSJbVz+jpaTQPH7YyJaaAAJxul8m5VTIOP7qxyhxbBmmPCEiIkol7oGMCkxazSqrteuG+QQes5uQDEws3cRkEGDtFiIHW1coS2BidJmSFeMmtB4zumjJp/10lEzRXzu7Z/Udbo3p5iErGmZ3Dbk8e1CRjum3T0fXh5ZfGrk8IP65w9E1SXx3I9Co0jZFvBfqlZXiVuRaupvISpQp8l3WIM7Wx34KApYuH+lzchE6oKo8euXDvbLm1XUnElSKwd+Ti3yaLCpX6qUnmV40qrwV6yWqmj0q8KuI5Hc6AtPUS/G6oM4IYKz399i2Z0YgTnenELow3Z6uz+WiYBHQu78VGTO9nhpWBGweQleb/hB6/y5gfxLaV+9C4VeB1v39mP1V935lsuulft/PLWVGcL68OO79QjFB7YEmFOY4wxizu5kqh3ujAWQiyabHTWjnPkx5VmzzZ9dhnT5UYLFc5idy//FDBJPHgNlZMxxPlutHVzAEzMxwv+dGBnWOe15k97FI4CfWSe+yZd3vPIaiLWZXz9juWXJ/Mu5Rsly4iBFE6xaIY4A8jrkE5CItjcujQXOwTpa/MhGGJcFyr4uRZu9jQIQ43lbktRrHX1k28sSe4tb9zZJH5j2OREREVxP3QEYFJmU50Rv47YPlhnhbi4mo8JqtMeY9CDEVXklUztQJNks91rRphXEPTfTeGnXPTeRehiC2VgZQbFtO4qucgbsWI7sjiJD6Ecz+o20ILb8Xsz0evWxqWiGvwNorL7LC6bxh37iXyMiXFlm5MNN77qAIBC0tHZPvQK5qsdCvmBdZ8k2xBkqyoh+5yiry0Kx06cPmQnU/ko97TRKSgYlxn5F/TSiSN+5bt71e6XNuC7HNVCuXLDO5+y0PjXAJSiO6j+P8VHnDvVUaZottmYZ7PW64N+5/8PUgAQ/hdzqA6c6wLoA7FoqKc8ZsWwuRK1nWbfe+ZKLMlkcGuZ2bzKBWblvV6mclH6pRNU0GILL10q1Vywef6YnRK/bj/gIU2NZXBardvSpYDyP4k5VYWrHPErxbnAui7b0MzHY8lKF351pUHhLHjmcXIzY75QWFEMoftQd11osVEc577GIG60M7rPlnXDCRj7KO3sMijgmuLaGJ8l7dDyOpYN+7/EXv1+vbXWPstzLQUA/AMNMtg6rogw68H+wQvW+uAtgfe1yS+g6H1LGpETDLGxER0VUkbteypFkqFy1TG4yTsd4lxtl1Q1YQjBOsfpVZdiWL3OxvmSbnUZWNaDcmWRFRJ3hnsOBGXr0sCWPTGuOX/auCuXjxyUxHJVl26wpFnvBkPG3IWoExAi+3Cqe1EiQfOFC4pRVBWUGZ7wxWREV7bS5a5xtXgl0rPLeURVuUZEuJ2X3EQV6h1gNM+WSr+Y7KTn8QO17ciOqXmsVIM2oqarDx58E4v34v01WOkAggPR9ooAdhZqtcPkJFYrtYK8SiwiwDUmP7OES6Q4nvKSrUK/DG72E4g1IphB1PLsXDK6qxo+5xLH3R+ov+6qb/eZmeN9wPWn8bqpcvxYJndmDHvy7F6r32Wq3erW2eo4XIQW8x8/rdHid5JV+UAmP/iLYE6tRVdL2bY6Sinbyk0mMKt2OjyIf8R6vQ+stKbFRPiTOnV+0Wr49tRMly8b4oKgN/6kTo/7Si3VZsetG8aimWPlEj9ozz2P7/sf+i/9qjs1H7c7FvuQWFx7aq4E2m3wzS3QJkH/Rjg7PVU+7HRvm1tty6dUlNSN9O+ZH06se+uNsrE7nLjQef5HfnxgmOrA8zEft33IsV8lgo0+B+PEmfE9CPN3LfREyLHxER0VVA3SvjTt246j7Yb1yVN5xa37fffGre+G3eHGveOGu5WdZxA2vku+U0+Z71hlzzZmYxJLwxdtAsN7fH/R6fNwEnTX5/dDm2/I1zc/Lg2dc34XdYtkHc9XUrQ9btPOxibxbXb+hW3z0i5UWuo2d+RctH/Buyo/O5p1G+b8/naJmIvTl+6Onx5/yerfZf7R805/oNIp2OsmbPx9hyEWEry3JwludoWiJDnP3D1w37Juf+4XffUJ/jTf5ERPRplvCX/YmI3PVj35Y2ZC+/13EfDBEREdHIG96uZUT0qdF/6HUgj0EMERERXRlskSEiIiIiopTDFhkiIiIiIko5DGSIiIiIiCjlMJAhIiIiIqKUw0CGiIiIiIhSDgMZIiIiIiJKOckHMuEgahY6fk1+uPy+CUvzqtDq/TP0o6gXzY/PQ+neJH/xmxIKH6vBwroRKUFx9e5djaVL8jEvKwt3LbL/4nzRc80IXVIzDpf+NlTlPYym36vxK6x350rM+8E+sEQPQbgdG0WZeTgvC1k5+dEyJKctKkVjxxXO3XPNKL0C+xYREdGVkPTjl0Pbi/Dw8xNQvrcWBZPVxOFyrg1Nhydh8cLpSFOTTH27S5HfXYyOEqAmqwhNanpUdiRNwbosFG1Rkz1kV7SgdmG6GnPTh7Yt8ncyCpGdoSaJac0l+ag6pEZN88rRUlcAY2lynkpgrcofWbGYX4U2/T0vhaICVIZMNeafCCpd88KFLY1WYhklISxzfc8pmXk9XA5hx4qHUT3BKz0j7J2NmPdYL9a9tQ655g+gXO5C44NLsSuvET8vyYwpe4MW7sK+beeRuTQbGePUNJNeLkIoFtsdHuU1UkZF4Je1IsFW9ty+UX2HmvD6J7kozIkUaGO/qnSWzui+JMl5KlGh9hePfcChcHMHym5RI0nws+8a7Gm0CtaVIvSov+NTMvNG9WHfD/KxceYr2P3YdDVNxK0tq3HXmoGROTa68rctJNvxTpa9dUDFoPY/x/HNF/mZrQjUDeYYR0RE5C25QEaeABetR9ul2QlP1m4VpMFWbqJBjL/ToKwMtebE+S5RMSw9syxBIBOHW0UgskzEBjJxKw3eJ/mk89CyXl4VNPeKayz/lejkgjD5/Qv+RxvCt1yZQEa2SizceRde3bIYATXN2AaiQog4adIDD0dAurzRd5m00ZdlBDG+Pi23wYHcON811ADTrXIaXSbENrMHMvErsnIbb72+NracJp2HlvXy2mfdlukmEuiJZSYI/hMepy63o+b2lQjXHcLqeZawV+0rgz3O6evr68KEdxCn58e2AGrjlUs/8yjJHi98B6I+Am8iIqKEZCDjz4B2sLpSe7N9u7Zk1ixtw1E1OcZxbYN4f9b3d2nnxX+7vr9BTJHka3O6f+ebS7RZtcYS/DpeGy99wtENWklzMqlwEJ+PSVNkmXI9S7RdHxqTtQ93aSVx19maR6Yk8lAuX84bd7CkJ4b4Ll/bxC2dSfqvg9r6H76pvb1tiUjTEJc1KKIM/2iWNneT45tluu6cpT32ao+aYCfLk5mHsjyaZUsvm3Hz1oW+vZJcd7fyZuN3G3qR5c2lDKplyvWM7i+O8u3Cmkcm/3moyrhrOY4O8fbf47X+tolbOn0JyWNgifa6IwkfbHtMm3Xneu3tATVhWBj54ZlOWTZc8sc2OMuGLINJHlOjEm//WMNw7CAiInLh/x6Z95vQfH0hcq8fj0lqUix5tbYI2NyBDv1qWw9CkW4P6Sio60BLXisqdzv6kV/uxb7nq7D2ySI0vhNWEw3pC2vVFVt5tbIUzeeM6Yk0rchCVpbHEK+FQaSltb4aG59diaIXg7CnxhA8ID6/pSiyvFLn+jgdqkK+9fttg7NryCDyUF7V7hDzby7Ur4zK143L5VVbMU1/rebTyXy0fn8RmmLS53IP1LGDaEUTitQ8NcfUdD29PvJA6NrejKnLc/Glv/YuQSOrE8f3ArnTom0xcns3V1bi+AO1eP7BaJcrk7wiLUqlyEfjCnhPd/TqtF429+aidV2zyAWrMII/qULVqiKsbnHky+QC1KqWGHn12k++6SzlLXaIfxW/d/9GVNdXYeVjGxF0uw/omNyy0W2bVeJcH6c2VM23fr99cF7BTz4PZSufLLuNKJRX7h1lW762kvlo/f6iLbHpi5ZXUxAH91uOE5b7SmR64+VB33tt6Mr4OgKW5oT+jo1Y+/IkrP5JGWYPW99EuW75CBUZLTyylbX5nGylsqTtljIjT8xhbzmyzeOBOThbPnpDiVuwhoGej3r+++v+RkRElDQV0MT3SY+264cNWucn8vXbemuB2xVR/eqq9Uqfa2tE7NXjnl82aAf/S15Jnet5VdxctnEF1+WqoxzUdw+lRabz5Xo9LcZVV7eriPLqdfSKpEyPvqxhapFJOg/1K/wueWEb4l1Bjd0eMdR3RPLU8Z2+rmr37NIqGzuN1+3yKnKyV3WHgb5N52pLvr9GW/OvclilPf7QEq1yX4/mehFdX09rGXC/Gu1sARg4vFXbHlLbsvrt+MuOu/3Udw+lRaZrq1bfJlPwgbZ9mfu2kvtLZH+Q6dGXFV1mpIzrEl+Rl/Pby0oyeSjfd8sL++C1/0qJW2TUd0Ty1PGdcfPaaNWbdd9j2iq9DInhqSXaoqcatOPeSRocmXfOY4EYj+Rv3LLjGKzlI87xL4av77BuX0V+LvKd8pjpMg8REdEQ+QpkLr6xXtvQblbH5EnJrSLhUkFxrYDJ+awntYva8bZObeATsdw7l+gVwBj6ydT9RGirNCmDD2RE9S1oTL/4xhpt1lOvR0/+il45FetvLj9SaRqWQGaweWiwVzjdyM+5VUTcBnP5zkqIuQz37eHuovbmjzZob8sAUZLr5AxkTm3Vlji7fFl88PJjWkNQjQySvk3vFOmWAblJBulifRaJ73YGHLH56V4hc5bBnraDIpeMfFqvBxFOxnuuZVSWF+f2di0DViJdHmXsfFBUfOWLi29qa1y6Q0UqqubyI+U4ukx7Psi0O7adgzU/BpuHuoT7jvE59/IbO0T3WXvem8tw3R4xOrWGBbHHvwERnC+4U+RvJF9Emf/hqtj8Vi62Vmpr9sVbs9h0JqTvVxu0DUO4kCPFbjOrxNtfZ/uOOOWdiIhoCBJ3LQsHsfWVToR2VmLtmrViaED7NUBbd4+awSS7QAUQsNyAKrtgFeY4byi1dpWSJiBz3nSgYx92fLkAd0xVkyOCqNFv5g0h5LNbmTS4rmXpyJxpdMIIvdeK6bdPt3fJEGnZWhnQu73kHjCWVXQqF3d43PQc4btrWbJ5aO8mJrv0tFXmW5ZtHWR3MaNrWrRrTrT7WUtFtnEDbqRLitn9qQGBveqmdHmTsEhvqKgF5fP8b4/wsa1oOhVC87Oy/IihsR1pcov2qhmkqYvxk39yrmdU4NEXUTRTjQxSZ3AfcGcmAtYniI3LQOacAEKbW9GpJplkF6jA9ZYSILtgLc+NuUHf2lVKypiXjfQ/vInmY4txV1ZsPyPZXUhu89AZn93KpEF2LUufmWmU4d8H0frVbEy3F2gEt1UhILsx5rQay1oRQu4cx0wx/HctSzYPbd3E5H4fZ9+R3cX0rmmyC5r+aeOmc738yi5WlvItB/0G/GM1aJjaom7GN7pFygeJyPLva3v0dqK9NwNfn2HPo7SvzsbsS214/bC5jAnIfWYd7vXIygk5T6MiL14+9yF0KhuB2N6OrvRuXI0Bsf+WoezRcoQaze5nyXXJld8ru9wlLgOJRc4RYv9vFdsiqfJORETkhwpoPH2wbb22y9bby7i6NuvHb6txk5xuvdLqfuXV/Sqr0V1D71b24UHt4Bk1OXIlz/sqoNuV3KF0LTPIbjhzE1xBdFxljCzTkdaEV5Wt+WZ9LfnPQ9erqPIKreeVfCP98jPWrkXytftnZFrM9XKsYzyfiLys3qX1WFtBZPrlFfB2NT4qjK5Vj//S2XXxovb602Kdv7Ndc77jLFvu5co9Lz7YtkSbK7uVDXRqB49eVFONZcr89bzqLfPGmf9xt6MUbT3xoqcn7jKiaTNEl2lPa+Jtb80362vJdx667jce+4Oip19+RuaX+Vn52uMz1nJvX0dvA23r9eW9bS3P0okGbcGsudr6w64dCQfF30MLZJ7YW5wkPS/06S7rHjlWufA4tpitWuYQuw1j6ccSlYZdjnIQoW8fOY/P4wkREZFF/BaZ3mY09BegwHZVMB2BaeJPd2/0hlOdnN6EVnVTbbCuCKGKZY4rr31oXleFQJHzsZudaP95NgpyMhA6EELa36nJqgVhcI8yHYJzQbS9l4vML6txF/pV9WmN0bTdUhb7aNikDTYPZUuRao0xbwSWrScrgEbbI1aNK9DGFW2jVUB+Rj4u1WzJ0R+dKq/+O292PtYq0lLh+chdL727G/Dx/QX231GZHNAffRzqNb6h/519aHq+Cs1/0EftLgXRvH0HNj4f/SFHefXZ903yJn2bZmD2zfZL3L0716LyUDbKn10M58Xv9OsDaDqgbgI/VoOiU+VY5iiLfbsrRTkoduRLH4JtISy+ezbQ0Ybz6eYP1ohlRh5eMZpkerqQ+1XLQw6cxPrly9bGSNoyUTYMj8cdbB7KliKjNcZsTZBlVz4Ew/7I6ugN5aolSH5GtriaLTl666t8kIGzVSKIVpGWiiT32c6OXUB+JmZYy3N/O2oqNmL88hdRdnua/gCJtt0bUfVCe+zDQuR725vR+PxGBN2eJGIxZSpQtS3Oj1vKxz1ntSK3Q7WoWqQvrED5PPkoaZdHfGeIchDTom7QW+isxxZZLuSj71WrVkeHbI21tHjHeShCZon5mVyEKuHauhQ8II5Rcp69Yp5IaxYREZFPKqCxG3hbq1+2RLvnzlna3PuWaPXm/TFq+qJvztJm3XmPtmRZpfam7cJe9Oqg8wqyeVXP/Urgee31px/TVlWv17Ye9bqnwP2KnVyu80pf9Eqg9xDv6qt+1TXmarBJraPn1W1HWlXrg1saooOzFUZNTyoPlcgVTmNwv3Iq0yje19dRfJ/+1zrNhb4e3lfDnQba67Ul37pHmztrrnbPt+ojj6TVpy9bpH1DpE2WrSXrfqbt/XWP1vlSibY90hIX9cHht7WLsjXl+w2aelSAzv3Kvpsebde/iO956BsiP2RaxGtRhvXhoUXaY+VbtbfjXAm2XlW2rbu5XV3za0A7/tJj2uPr1mv1+7wfXuG6HeVynWXLsU1dB8/yKgwc1NbHueJtrKP3trWnVZUTtzRYBuu2GVwemiz7gxw89jtj3zDW0WzJsE6LZayHvzJkllvjmDjrm4uiZUgMix4Sx6B9ndpF1Upzse2gdvz869oalwc9XGx/W+v8RLZAr9HejDbUeUiwT1rIddXXJVJWZF6rz8fkmTHdXv485pXLs02T81m2Y8LjgrH9PI9ZbJEhIqIhSOJ3ZAbJdmIdLHnytJ/ojEqKXG5sZSRhJVekKV4wcHzTXG2B+YQtB7nspE7K8kQftyLiqBi4iZOH1nzQB0dFxKhEmulRlRVbpcEMZJR4lctIOmKHePmZ0CedWsNTsV27IuSN6j866KgUygrSUMrUYEUr1n4rwW7kdrPlmZnvckhYmXRybEOnYL02d4E9EIyQy/b8bHRdo2mN3RedIpVqT3Hy0JoP+uDYxqoMmukxy781L+1dstzKvCmajpgh7j6b2MV9a+J0MxPl/fvbRXjuj30fd6yHM79cyon++Zj1iV13r21m/37/+7r5uaHsJ0RERPEk98v+V7HQlofx8FsPY3f9FDTd24CprzRi8RfVmzSy3mtE6Xt34YkvnkfG7bMx/lwvBtIzMMHsvtNRg9Jzy1A7f6gdnT5Fft+Ehx9pxcM7X8SUV76Bhmk/R+Min3eO0xD1Y9+aTUh/8i4gPBuzv9iH3r50ZJhd53qbUbo7gNrHR7uLIRER0dXF/w9iXuWu/bsAJgy0YWNlG6b/5EUGMaPpr4Ap/UH0XPN1TEAfWp9biE2/id5A0PVOCNlfZRCTlAmTEPjcANpeWou2r76CFxnEjKq0v/ssujrC+JJ8CuN727HoX3YgZLyF/vfaMSVzhhojIiKiwWKLDI09l4NofycTM9CG3ptmoHPtVgSeL0Om9QZrohTS29GOz0wK4z/SsjH+56UIPVqb9IMziIiIyI4tMjTm9LWdx7Uz+xHcswPNW7ajf8UTDGIodYWD6Lw8A/+/Q03Yt7MRB7/6NIMYIiKiYcAWGSIiIiIiSjlskSEiIiIiopTDQIaIiIiIiFIOAxkiIiIiIko5DGSIiK60y/3oeq8X0YeOD4O+IIK96jUREdFVKPlAJhxEzcIaBNXoUATrslBzTI1Y9O0udZ0+NvWhuaQUzefUKI0oWTZKd/epsTFCVkJ3V2PHO2qcRkWwzrHfHatBVp3LkUlM18vMuWaU6u+LY1hJs9hz5b47PMcyz+/2JYzgSzXo/FwG0tQUKfTTpbirshX9atyPcEcN7srZaKxT+gxgdxWaPy3BTLgdG5cvxcN5WcjKycdS8docHl5UisaOMXTcONeOxvpWUQIHQZXnmPJvY56XRub85HXuJhoJLG8UT9KBTGhnDZp6QwglPDCalQVvmY+WI7RCViTkwVacfLKMIb+yDU0rouNZWWZlQywz8lqQlYfIPNFhsBVdubO4Lc85GMuXaZHj+ag61Iaq+fK1OGEcE5Ulx/yJKjjxT0ijZ6ykw9OlNjT8jza0dfeoCVdaF5qfEYHVD6uwvnIHei+rycNoNAO3Mb/9ddFjRdEWc78zTnLBA03AlqLofmcef27JRWD/weix6FgrQnl3IB09CCGAKWry4Ik0NYZQ/qj5S/3245k5eJ2Iw8c2ouHzhShw/GbptVPvQ9miOzBBjfty7Qw8/C/fhPFzm2nIXJ6Lrv8R/zh81UibjSe21KFYbIaMx+rwypZXIkPjP43Hxscrr3j57ju0EaWPr8ba56qwsStRiOpxDr1lGXL3bwUezUXrtkTBczoK6ooRmh8bsKfWBcMrK/Fx2GWfT1D/GVVDutDiJXEdz8nzHCMvMg0xv65EsBO/XMgy4dzvVJ6ZF9c8JZ+3n2bJPX5ZFrZF69F2aTbK97r8oJvcWVaIyoSnQjR2lME83UuyIFSiArUL043lbwugtsSYQxZ6+w/HyeChFbmOZcgC3JrTgbJbHMuTZJoO5KJDLTMe63I8yQJ4Zll0+XphrQTWJv6BO5k2GaQlFs2nuJ+ZV46WugJxqrKQeTi/Ct7fErsNTLH5bSXXUwZtajSOws0J8nBQwiJ9S/H4z0MIL2r0tT1HjyyXRYDreg8t3+T233p9bcL8TKacDKYculL7a8XUBksa/a9vdkWLZT8yuKXNqzxZy6vxOUSOS9H3vNIj1m0zUGQ7Xrkfn+Knx9j2IX1doI4FFcA6+zHB+9jSix2PbcSkunXITSpi8a9r88NonvkKVt9ube8xuR9Th4fM+60I1LktO/Z7fZdLt+Oe6XI7am5fiXDdIayeZ1lfdW4amWNT8vR13Z/rvR46kUclISyzziP3uXVAhe1zfvc5e/n22kdi9suE53VTguOFh+S3e3LlShf3vJjtXp+xkGm01Sv8ML/Ttbz63+9858/yOOdF13JjMaj8cSmfgkyv7Zxl+e4es8z1qnpZTqtRn5pzMDIP/K6vI13x6y9RyZc3d/KYXoR4dRH3bWzkTwUCjV5l2OC9PoMo/1c7Gcj4M6AdrK7U3mzfri2ZNUvbcFRNdnVe2/X9DdpxNebH+eYSbZZYrttQ0nxe045uiH3v+7vEN2na8VpLesR8+vyKXK7xnkyT4/NqMD8bXc5xbYNzvlq1Npbly/lt88xKbp1Nx2tLtF0fqpGE1HqodfdNz7/435NcOgwyD6z5PWJC27VVjce1gz8axLqPOKO8xN8n7OLlW7x9ITKY5dFT8uXEz/Y3y3x0n5GfEeuf4Hv0dYqbZrXP6cuxHj9i1yM2f9S8H+7SSuR8sqzHfFd0nzbTHj022F8b/KfH/N7jYhnGNpXz2PMyemxxEOV6yb++qV1UoyOiq0Fb8KOD4gjuQqZd5ZVnuYvJS5UHLvPay7TMwzjHRMex2pVMXzLHVZmf4jj3umOxH2x7TJt153rtbddMGH16XlvLkCv3/Up+1p5vseVNir8/m2XaKOfRsmlsW9eyOpribvdhKFeCUd4TH/Mk130j4TE4jkHtdxbyGBen/MTWTWKHRNs4cf64l0+37WMe/4wyaSmv5rZSx1C5rNjy7c5Zvv2cvzwldZwx9hnPNOrLcs9z9/w0luc+v3UwPzs85f9q4j+QESfDVds+iGykuDvBUVkooxvAeZB0y2RZeCPziQ1hfR2d330D2ioJjo2YTOGOLsfxPZaDjnX5x2vlPOYJwfzrk1hObAFNwE/eu9APSD4OurZtoOeBSFucg6X1gGN8Nsk88O2i9uYP12sH/8vYRokrAKPNyCu/2yWZfLOVbb+SKSfJlEM5r573cn3971f65+KWP+O4YC979vyw5pl0vnmXtkHs2xtqRQChpkl6+XCuu54fYnlqPzby1PjO6L5sXZ/k02NfR+Pz0Xx1SZNyfk+JtkQeV616XtfW/3CN9vh3GrTjPiveAye2auurN2irvrNKe71HTTQNHNTW31lvS3+ESLdtPeKQ62ysi9e2V+sdyQeRb3H3VTl/vONFbL4nIvNz1oIGrVONSxfb67Ul963Stp8aI1GMoOelR95E8zl2MMqQM19kPsZuE+uxI6a8qryX+1DMtrSe70zmPqRGrWKXHWXuj7HrEE+i7T7UcuUsp4nFW0cr923nkpYk9rsYcluY66+2lfzeRPnqZx5D/PxxX0dj8C5vhpj6mJkP1nXSqTS4fIccYpct5/c6LiWSxHFGHud9n/sSldNEvNI11PJ/9fF3j8zlXjRvA4oXBYD0DIh/ETrj0XtPNiOuqEKgqAMdHWLYK++DMfuN5iMkpuvNs3I+1Zc00q/xjJq2okndI1OK5jPqvbiyEXD0Lzf0IXQqgECCpsbBa0KRfo+M+Vfky+5Sta7WwaWf5AqgUeZPRwvK56nJcchmzCzV9Bu5f8hnn9f0hbW+u2JF701qQGCvSJ9n02oQW/fnokI1tacvLBYrdBB3FAENw3xPR7ijAR3zViL7GmDSF2cDh0Kw3SXz+yYsfdErL0JoeqzRkf9Rob1VWLtmbYKhCvu61QeGLPl8s98vJoY42z25cpJMOZTzhlC+VpaHTJRtDqBqnZ8+vOo74pS/vt2VqJrWaOmKEEJonv3eFZlPxn0usuk8C5W4A7lieuDRAFrF/tWs9jvZfUsed3IPyHUX+53ZrcHS1J5Z0oEybEVrXrlapv04kVx6JJGmxgBaxDr27RZp0fuAy24PRlrk0LhcnzFGz6k2BNInqTFJHGtbJqBszWJM//1BdH6oJsfzUSs2v5eN1aueQMH0VrzuvKk9bQI+iy7X+xr7zoQQuN6r84SdfhzR18er+4a8H6MRhVtaRY4IMt/06V7ScUdeCK0e/dqDdbK7ZjJdJMLoDIqS/8lBNJj77g+Wouin/xee3lqNxV9WXc36W1H1zD7Pstv/ljgmtHi829+ORtuxwWP4SXtSD2mwiuSzOHdmy+5Cqgzp59JGuc9lYllFyHG8iN4vJgfZ/37K1Gx1nu7Dwf1A7hzndhbnWRTHbsvJYl84FbLnz2Sxv81zuzdWLluUYVsZkl1fjHSY+2N0aATEcSnevQwJt/tQypXsJqfO1dH76WLvH0qWftwVy5Ldz+zrKwbZhdVxv0My+51TcFsrcvXjsDC5QGzBBhycI88j5ncYx0izLJiD7E5lO5e43YPhI38Sl085jzg+Vm41Pqcv0/hO632N8e8hkscStVwxyOOn7BZqjrt38RtcXc/vcUbfxrI7nOfxz0GW02kBfTvJ7mRmHkSGhPfAuO3nwhCPq1clFdDEdfGN9dqGdvNqlowSvZrVnBGkGVV7R4fmVSPb1QIR9VpfR7/LLUK1R+L2KwGJIle76BUsx/dYr1BZ0uPdIpMgIrYuT5Df656fgn4FQOShy9UR/cqIx1WT5CTeTk5eV1yG3SedWsMPd2k9nxij+jo70/nJgDag3nczMOIXYo19IlJm4/Cdb+Z2tyw38ln9vdgrW0mXE9/l0CgfzvXTl5to/7LsL+7ksl3WJSa9CfapRGKu+Bn0K4R6C7L5XpLpkctV28kcSpqPxywjemyxGtC7StqmXzyuHewSBVZ859xl2zVHW42rgVPHtU69jIt9ZcFcrT6oT7ZwWSdlSN0xPESW6ZHnNq55KyV37DbI9Y8twwPtG7QFd5Zor1vWM+4xIcHxZDj42XdijxWWPLHlrX372o4TMm89y77XMcs972PTIznOlX54bnPJx3YfVLmS6ZT7p0ta9X04/jq4r7t/zv1s0Pudn3WPI+42TzZ/RB57lk855vJdMettLsNlvWSem5/3Trcp0fnBq5z6KG8672Oop5j8SUR+h/1cMkvUMWN6Pwyq/F/dErfIhIPY+konQjsr1dWmBrRfA9cnRwXr5FV8FdnqLS6yBUZe6XW7kuNOj3rNFpl4LQ5y+fr7PQgd8heJy6jY/1MtZCuLipw9b4KLbZHRnTuI1kRPQzKveIn1aDiVDbg9iUteydCvAHS4tqikL6xA+akG+1NAZL4k9bQLefVG3pgsr3T4v/rZ0+28Cjcy+vY04M3zbdhYYVzpXL+7U0x1lKdxaUgbp167SHO7x/kK8ZVvchuqlpKWClE2dGI/rAygWF6JuqUMHbJFxHxi0WDKiclHOQzW5aM1ryXmJml5Za5xWhXy4+ynia88xu6/8uljhTnO9ZDzGa9cr265DMZTYdTVSbkPHxJpjbxvPD0nM0fk44oqQH+KmZRkeiYXoFa/StiIQnlzqH61UO759ivkRVv0Dzn0o9+5TSZkIvsmoP2NHZix8A699TuRtC9nYros4+c6cbz3AXx9ujE9aZFj6lBYWrfklX1josFt+bfkotB59V+yXM30rbcT7b0Z+PoM+6fSvjobsy+14fXD0W+Je0xIcDwZLT3dbq0oisxbW8u0vczqZN5uaUXNNtlDwq1l3asng7v06wOx5/1jrWhanuv7vKHLCIhv9uBnuyddruQxQN4A7XGOE/twhduV79GSzH7XG0Kb3/3C0hISPQ5lI9To0kNkEPkjj4vxju2ZOYXePXcGwd4zIcknbHqVU9/HGfPpf/6fihs8EPLef2MYD9yQ51mz1UkfcnIRqAAi53ppKMfVq1TCQCa0cx+mPNuI2mfXYZ0+VGCxrNB8MmDMYJFZYja5iR1jvtgx9g7mCTGqS4ZstlRT4vJ9IDW69CzzlZ5MlFkLkxxcKoiyi4rRJUc+rUW+Ng4CfYdbjYqR1wFKHhjyWo1KlcynPFEsp7qEPbLCqn+vqozpg/UglI7ANPVSsTU7+9C3uwHY7LOp1EJ2WxhxovKxtfth/KSuWpW9daj+3n3ijbAof8Ys/e/sQ9PzVWj+gzFuFX6nGTt+vhHVe71359HuWuYn3/RtqC4IyMpD6ExQHOQczd/WysAgyonOTzkUZbgBYv93bco39oFGFMU9uMc/mU1BwNalLYjWLYXIde6n8oSjundFuziZQzSIsE430iz3Zes+agSHhWaZ1/Mx23LCST498uky5km1J3KxxE/XsnRkTFUvrcLteGv7DNx7ewb6DrXB78/AhE91oW3edMyIqaSLY7WPX9rUy13kEdKDY3TLM4/Hmcid1oqDKm+CskIdExAKzq6ipiRPxOHuLrQjFzO/rCaY9OlpmPJ3E4A/tKH5xSrUdLhkyOVetG1vRuPzGxH0yq9R6FpmkOXOEZzYKl2yXJvHAxFUi6qNdc81Kpgi/5c3oelUuet5L3q+dpDnVLfKnQqMrGc09yA/Ps9yYEq43ZMtV9G8MruAycF6UVMeZ23kuTtyLDW6ZQ2ey7a0SGq/ixcEWskgRnZ3Vcef6FAsAuAmR7ejQeSP13HRSpyX5DHYukxb17IEXfpkIG8NtK1dy3x371LillPfxxmjXliByoRpt29zGaQkmP/YVr07c8x59pZMFMjzna3+mWz5j3b1HP5HcI8N8QOZXlGJ6S9w/L6BqhR193pvfPk7DRUVSVeODaqgyyuoso+m7bGPspKhWkrE+xCVgObG2AIavUog5heH+MhJ8lB04w+dWWk0W2Tka1mhsfRHFhVF2X/V7cpBtDImwu398a9sGMGG2oFt/W2dB8j4B0w3zoOFX/LA1hTpk+tOXjn3e/UiVhjtL7ZixvLZth8JNA7k7apFJoTgnzIx+/PnZVXNIYTjl3KxOGsSej48r6bFCswvjwRJ3kM57nWrcA6Cn3xzaqss0u8ts14U0INlR9Dhv5xEJSyHogybj0P3klnSgtz9+a7bOn1Orliu5TdcYsjjSfTEKvsrhyqW6SfVKHEgXue8qiz2P2vLo621RQzW9+RJIlLRM1q2jBOwWm5FLloj9/skmx77/TVT9MDTtVruavyEjNhA77127JhXgG9mhPDmqTTod9Cc24e1y1ei8R3viKSzYxcybp1hySPTeYQ6pmDS59SoxRRRrkORSKkNrZZWi2SYlRX9kcKW8qK3eMmriTIgdq1QOwNHRd6TgeSO13L9kZ+JGdbWFBF41FRsxPjlL6Ls9gG0hSbgjsAAwi6/+dR/tAeTFt2H6SKgOR97QDFMmI0i12OEY3hsdnK//+Mg9+WYctcbcr/g5biqHDmmyzy3tARG79+KR5Rtl3OqQW4r8V2RZfiozFqp4EA+stbzAqfP7T6ociXnlY/L1Y938l6d6AUIe+tC9EKsMa88nhaK43C+cWxJqjIoK5Gxx5BB73fyavwWj9Z1C73i7toKZ1TGXfPfd/4Y5TPmArJHAGxc8DWGxuXWCzwieFLBTgy97Iq6YMLfSTLJ47a1bFp4lhFhEMcZ/Zy5N4AGURY8e/jodWC1zWUPncjFHW/Zbvu2h6TKv/j+kGrpaRTrmkzpTRmqi5ndwNta/bIl2j13ztLm3rdEqzfvj1HTF31zljbrznu0JcsqtTfdOur56HMqyT6QRl/AwfUXlf0m7f0Anf0YHeN6ulTfQ8tg9mPUl+fyvnOw93t09M2U36HSZK6fdz9J1ScyQV9Ge/9cc52MPq3OZct18P6+WHoaB9nn1siv+Ns5cd/WWD3Nq7QlD31DLPsb2qKnX9fMhzDp0791jzZXrPc3HlqiLXlZfLO8h+ap7ZF5nC6+sUZb3zZSN8lc1I6/Wq/V/+hx7RsyTd9Zo23YtF07nuBZugnzTfZvFcvTh5hto8qMy+eTKSd2/sphfMYy3La1sR/EKydGGvX1daTBex+y9m320c85su+bxwMjveZy7XmXTHrM77amwcx7fUTntR8MtK3X5m5y5MyHr+tPH1tfvVU7/l9q2pld2uN3ztW+8ZJXLn6gbV82131f6xGf9cif2DKj1ts6xHw2dr7Y7RNllHd7fviitlmi48eAfCqZOl/N+uYi/bU5LHqoRNuwr1O7GLnn5aL2+r/GewyzOJ5839+9SYNy5k2tftMGbc235urn0JIfieNHq/PoJcuf2l8s/ey9ypDchnK6WTaN7SWXYeS5+blE92XElu0EfPTDN7a9OcQ/V0T43O5Jlyu5XEtZNsu+vhxbGbfkv2LmseTve+UyjPV2y0/zu9WYz/1OUeeHuPkj5/H6vJfB5I/8jCoDcr7E28wj32zfbeSHXJZRJkU61Hhcer44ypg+LcG28lneYhnbOHb7Oo7/jnx157Usb/7Lv6V8DekcP3Yl8TsySVI7m9ugbyy98Fh2Bpf5ooPLxpLLj2yU6EHDreLht4D62RHl99oLmywk5s5jSYcYjPksO72Vyh9/BdftQOddgI0C7j0419E4WLjPK4e4eeLYzrHzeqz/cDnRoJW8+oHWefht/bc4Bj7ssVRaNO3tH8f+psSYkDDf7Kzb1LvMJFdOdEmVwyFwrG/C74vM7yw79n0s7qCfPJwH8ejn7Xlu3Y9deKbHJJbr/L6YwWVbXHxTW+Pzpn75HVtftj5Y2OL86+IYukZ70yWIlsH8Y696hPry2DumT26O7Z2wQpDAn17X1lS/rfWI44We5+d7tPPWG/tF0FfiDCxHmfM8FNn3XdfdLHd29gqjWSbdyq4lfz3yNtH5xDokOo75N8zbXXE717kei5x1Euf3W+svEfY0x82LIe93jvxxW5bjmGsdvI6/fvInufJpFxvIOI/PRhrs3+l1TI09nsak33e5GWx5k2lzpEPmu2N7uNexYvdH730tzrmJtOR+2Z9orHm/EdVt6cjKug+5M/ux7wf5CC4yf9W7C40lx3FX3WL7zXFEY0YYwbrH0ZHXiKKvqkle3pOPyy1EoTmffIzw/asx/rlDePgPj2PpmZX4P6scXTEh9ok165G2ah1yXbqWfep81IqaV3oRuPU+FMxLR/DFeVj/+VfwyiPGEaJ//1psuqZCHT+IiGisYyBDV5fLQbS/E8D4i72YMaMTq7YFEt7jQXRFXQpi44ZePLLmXpc+7aYQ9v20H7lLMqOBSjiIxu+sRXtgBiYEHsbTj81GuuNpW+GOGqzvXYzyhYO4Ee5ToRftHePx9UmdOJ6WjfE/L0Xo0eQffkJERFcGAxm6qvQdaMX5zPHYUdGG9OkZ+OZjhZh+jXqTaKzq3YfGY5komj+MAce5VtTsm4QnlluCH7IJv9OK41/MxaS9K9H0JxEITr8XT+Qx6CMiShUMZIiIiIiIKOUk/kFMIiIiIiKiMYaBDBERERERpRwGMkRERERElHIYyBARERERUcr59AUy4SBqFtYgqEZHXx+aS0rRfE6N0lUtWMdtHXGsBqW7+4BzzSitk3ug2BdLmsUeIfeJ4dkn+99pwupnqrHxhSqsfn4fei+rNygJ5nYhIiIa2xIHMmblwy+X+ft2l6LmmEtlRVZoRvmEGdpZg6beEEIJK5eJT+bBuixkZSUejPwQy9PH81F1qA1V8+VrUck9JvLAMX+WXsnzNlKVYz/LldvStTyI7Z4o3YlFy4j8npjl2b5DzuvIN69hCGXMlify+53LdlnnaB4F0XoqF3f4+k0KP5VHRxAs9x9neuQQZzmyzNYcUyMejP1VjcSRXPkXbslFYP/BaNqOtSKUdwfS0YMQApiiJvunyoC5DUR+rH0hDSufXY0nflCOdbe3o/SlIMLGuwavPIsZhiew8puXNsOyLylqfZNJQ9/uBqCoIPqbNi55FnMMcDnuu9KXFS3D+n7uWLY5xE2zXM5w5ZFVkssd1PYdaXIdkj3mjVR+EhGNsISPX5YH6kpUoHah90+1WbnPLytpISwrCqHyzLLoe/LgOZo/WCi/b9F6tF2ajfK9Lj96JisQK5rUiJtCNHaUwUytrMi15nSg7BY1wY08wVvXWa98VQJrE//omszL/Mo2NRZPNF1xPzOvHC11lgqKg6y0J/oxOM95ZN4dyEXHkLalzJutCNTJdZGv8xEqsuRvgu9Ipqy65VPh5thtaVtf57Z0Lb+W7dvrVZ6yjfLn+b7JXt70/SirFbm2aVaJy5afPJLzbL2+1pYXbp9LrvxD355Vh9T0CLGOm0W92ZYPzvX24CgPXT9ZiKX966LlQ26f+V1YfGg1ss0fUpHT1gEVcfYDIx9VOZTfEXcbKa77VuLt4SpBOffeTz2+z9c6G/T9Yn+uvi495vbNcJRz534gWMuMLBdFW9Qbyxtj10PfLiEUi208xaWs2ckyXwQfWwDZFS2RNNnS4MI6r43rPm0l89itHEc5l53s9kpu/sTpMahjzuTB5ScR0ZglAxk3x2tnabNmeQzf36WdV/OZ4s5fe1zN5fDhLq3E671hN6AdrK7U3mzfri0RadpwVE12dV7b9f0NWqKUyXU2lnNc2+C1zkc3aCXNRm7F5lHi73BzvLZE2/WhGklIrov4Lpdt5pR4uXHyRayn53b2zbF8WT6seWTJSzfnm0vivm9Q20rPD+v3OfPJuk1Vvsh1jExTg3OdZZrVMszyMaR8jXCWsdj55ffZ19+lXMYM0eW478P2/LEuP9nyb4jOa+6Dcru5vY7PmWfntdefmqU9/sseNS5cfFNbM2uB1tClxiXL9pHfZUuzuZ0TbQ9nubTxk+cJjj9u5SxSLmXa4pQnj2NqdFslItMv1s26P+vra0+Pcz8zyrh7GXHOa+V/ezt4rGd8RvriHqeSWW6C45Eh2e01uO1rI+eJlBefBpWfRERXnmcgY0r2RJPU/NaT5UjratBWbfvAOGCLE3H8ioQ8EURP2tF57Sdqe0XOUrGxnhQsJ7vjtXIeuQzrX59slZs4JzorP+tqYd92qkJmOyGKaea4LT2OIdmTaERsnsg0mflnfe1Gvi+/33seY/vZ19H7+6TkgkY5v6VMqHxIuAyf5S1armLzSX6vv30pUbmL9749/5It/0Z5FPOp943P29fRd35bv0NnX47BKMPR/BTk59R28d7W8fLAuq5qG1vX0SomjT7Jfcvzc/HSZnDNw7jLdHJsTx/kd26QgzWvdSqP1JiTuc/GDK5pNbZx/Hm8yHXyU7bs6TXTF7teIi1ifSMBnnUd9WOjmX/Jbq9Bbl8rSxmPbyj5SUQ0NiS8R6anGwhkyFeySTpxP+Zk58+emnzP+KRd7kXzNqB4UQBIz4D4F6EzHj2IZdeCFVUIFHWgo0MMe8sRWmGm3+jqNPjm9iYU6ffImH9FOna79RF39s8XebkCaJTp6WhB+Tw1OQ79/oX5VZCdp5rM9PvoAx2ZN6sBgb3i+6zdUc6FEJoWMMZvKTPyxxw2FxrdSORrH11Y/EpfWKvyuw8H97chcH38JcvuEBWoFOmPvd+nb3clqqY1RruxyPWZZ783I31hsf0+DpPs7mNuH5mPznFJlJ0G1Z3Ffp+BeU+UGqz915Mpb70hwHN/yUb5o47uMNY0Rgaz/EWn2e9tcL9fRXYdqjmWjoK6RlEQB3HPkVxP2b3J0mUss6QDZdiK1rxyled9CJ0KIBDTpcZFTF6IdCfsXjN0+nbdbK5DJpbltYo1WIbc/Vsd+6wQd3sNVuL1zMwJoPWwYwtlBJB9KuRruwXr5L4vu33ViH3Ichy3lXvn/tWGplO5WBbTRWyKKE0hkWqDLEf659U+0NPdhsKKcmSbxw51LCnMie3aJfff1ryW6PEmKZko63DrruXiUBXy1Trndxfr3+fs+hasE/uRWN8KlebGadHPZDUG0BIp58lur+S3byRPzUEe9y3roA8ux/6h5ScR0diQIJCxVizkiUCdaCyD/QCf7PzxyQO0rxtIE+h/qwmh+YWYPk6MjBtvTHQlTtp6320znX1oXieDAdlnP/n0x5LLkYGI+VcEfaKibgQn0e/ocN4fICvcy3PVtHQEprXFVlRMqqJRBEvFQA0tUxs8ghnZz1qctCsDljT4POmPGnmCL0Suj/yXwU9HRwWwzho4y0AI9sq+qGi2mYFZhL3iZQQhotJ2xgiSZKCRrd7RxzsaxVY1BLdVAfPku0Fs3W+t1Mn+6ZZtEQn0kitvfWdEiKEHciIvZCplsKoqKkVbrMGSqmQ6g83IINMc/Q5bYB65Ad+L2K8HE6hOLkCt/JwZ0Jj3IIg01i4sQO60Vhw8dhCtLkGUG5kXdmK7+Qjwh0ZsV7GPWMugLGtlt8gAz9xnLRX/FU1oq8yPbCM56MczsY8Ox3HNkwha4AzGJ4vjsnoZj3FviVGW8ivFcbNXTJT3/1jKubyXrKXCvrQpU7ORHbfcGIx901yWPF9kIzCnAMVoUIGRcdHGbT+XF8ly56hvkIHZllYx9zDSj51FCOn7tdpXXO6VkeelhqliHnM/EJ+T9+MYxwPxmWT3D7ftFY9jfiNPVXrlII9R+jazTHNZjxHPTyKiURA/kDknKhbTzAq0D8nOH5dR8YwcaAcrLCofr3QitLMSa9esFUMD2q8R1dPuaFXVZF6J1NMvK1z6FXEZZPh5ypnlKrdqCYkV2yKjk/mWqAJnXk2VV/3FyR8u6ddPxPImYY8TV/rCCpSfMisMJlnxkjeQyhOeI4C60uQ2UFdu5ZXwpkgw54esXFoDARkI2a/2Bw80uVz5VVdE9e0vK3XqJtnrRZmRlVLLtjUqqerGWVmZEcFjRZ4c8VfZT668yf1BVaJVsFFQEq2oNC63Bkv2IFRvnTPLpj6INIvvaIgJakUg1Rga5D6XqPyrCn7M1WIj6JJXmatWiEDQR2VYSr8+tlo+/q+A83+5qMaEvl4R8GXgWrG/e7EGGvFuDte5tODFil7AsW8TY9CDRufT25LiDNhEvjqfUDX5DuTagnFBpl29jEe2kkUurMjWwQOtqoUieoO4bLXNr4xdWqLW0hj6cc94ql9mSTFCeiBu2SditBmBlRDcJtIV57gsy3wyTxPTWzXUsTNui7vYTyu7iyPz6PuWbIHZXOh6Tkl+ew1y+w6K//wkIhqr4gYyfYfFwc3sGuHjKmKy88dlOckNRWjnPkx5thG1z67DOn2owGJZGfxkwJjBIrPErACKk8d88e2iEuKvBcal9cklkLBVEvT5jBO2nm+yAicrs24tJpMLRAW51aj8yXTliUqcW5cVeQVe/15VadQHazc12ZqjXipGV5nBtb7YujT4ebKTbyr9cl3XGlfxK309vS2e2ApC6xaXFh6zsipbEMQ2alyupltbN3JaowGjHGSeR/LejXvXsuTKmwjMiiCChRrUHPAfbMiKln712EyrORQF0Oa8AntsK6qmFas0Ga10ZprjPz3PT/mX89hbHlsqslFolj15RVj85zuIklelbRXHdEy/fTq6PuxX48JluY/fgelTjVGnmCvZiVohfbZqGOJ1kxNl0VYRte6vYoi7L6XjjrwQWlUlXe6/7i1ojkqpa+ujC/24rVImPhPIKYtuW1HuS88sc80ro2VKjVjFuUjTI457AdX9Ur9QoU/1bm3OLGkEVLfLInFuEOGge/6K40UDLF1IEzJaUFs8918LeVxQ88njn97yHfeiRbLbazDb176vGhcLEgc6fvMzciHEGVAREY0BcQIZ4wpwsXnlKWHlKdn5hZjKSJTspmOe5PTxJK+w6XrFCa2/AAX6PTsmVZnv7vU+KMsr3hUV8Ss1STMrK9Z7FOTVaEvLkzhJRrtY2EUrXRXA/qa4Vz+N4ERVPuSjbSMnIFl5t5+sovc0+SArcpaWoUp58jcrObI7w5Yi/YRnbqfkuwbK1hCZN6LGrqdfVJbkI4rFiTkgxhvF6TbpMhAht3tTpIIQrJNdSJY5rvwaXbus5c4UE7SpdfV3gvfqWqb4LW8yWBLbs2lL9EpqfEawZu6TNnpgZr3yLcqnvA9LVdLkPQDy/hwzzTLoMO6fGsLvq8hAKVKptXbTUvlekYvWdT4rS/Kq9Cl7IBa4azGyO4IIqR/B7D8q8mn5vZhtPnp5yGQAUoWtgy6DbmQl1CzvarDsS25lK31OLkL6fUpGHsZu39gLFu6tj7GM7osq7JDH5wMisLGUe2sLlp99Ue9u6VYRFxVt6MGPcVyUj/Y219/rHjdbwJwTspQlO9sFNT/kxQs/QZ6Ncb4z95d4kt1eyc7v3FeN7q/RFlLvY7Cf/BTHENVNuUUEWAddzk1ERFeUuuk/luMpN9EnFHlIdn6d8dQU+xN/1JNUYp6gIqf7eeqMMPC2Vr9siXbPnbO0ufct0erbB2zTF31TLP/Oe7Qlyyq1N90e7SKf+uLjqT36k6LMJ77EGWLXz7Jsy5ON/D51K9HTZexPYzLzTT61J3bZ+nf6esKNZEm788k4ke1vfzqQv3IgGemLzqvW1fakofhPHrKvtxvjO/Tt4shDr7y3PyHI8nk5uOSbXI5zfX09ZcjPU6Is8zmX6fUdMv/j54k753aLjFu2+6DKv74OcrqZXmM7m/Mk3oZRbvOeb2/QVj29Xqv/caW2qvp1recT9YYp8v2JBo/toT7vJ41eea/nW6TsmPunPmIQ+5I1P2R6nGXKa7oryzZLxP5kxShzW5eItPo6XuhP7hKfiTlWee+DvunLjrNP6dvIx/4U4Tz2+OO1fd0ktb2EZOaX6bDNJ9ffkrf6suLldYL8NLe9//MEEdHo8QhkXE6u1hOQZTAO5MnObxU7n+fBO4kT8pCZJ2KXwVyHmBOIG0ulxGCtJNjX3ZhPTnM5Cav0xOafG/kd9jTHO1GZJ02vwbqO1gqz/XNeFQeP9YnLSL/rusp88CgDMj3+8scisp2daTS3jVxf87Wax9ymqlJrzSOZBmeZSBjISJF0xA6RcuGy3pFKRpw8js7jHOKly1xnNbhUhJIr/5YyqS8runz7Mqz7RyJqmclUiH0dQxKlwbIucoizPNe8j0mvI69dy6KPMuRGL6PJfja6/mb69W3kLPcx62HNF/f8k8sz91HvcqmGmHw1l++jfFj2TdchZtnObeAYXLexoxzYBh9pHDbOdPjd3knkJxHRGPUZ+Y9qnCEiIiIiIkoJCX9HhoiIiIiIaKxhIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENE8fV3oesPYTUyHMIIHesS/xIREREN3tgNZM61o7G+FX1qdMT0t6Eq72E0/V6N+xFuR03ePGx8R42PgK6fFmHpknzMy8rCvOfbLZW+EHaULEV+jpg+fymWPt+GfvXO0AVRk1Uj/jX07S5FzTE1Qv6da0ZpnZmLUh+aS0rRfE6NRsjpRn4H64z3I3l+rAalu4ej9Ht9t0+XgthY14kJGWlqgjCYfQa9aH58Hkr3ynVKQ2ByJ9a/GGQwk4goB1m2sjRyZNkbnjI3/MIiHxaOUj58eg3xWEFEdAWMuUCm79BGlD6+Gmufq8LGriFU0S/3I3SgEWtfbI9f0R8/CbOXlyF3qhr35VrMWPQ0vvllNZqMy30I/rwGVbtDaoK76Usa8coP7sOMmZkIb38VrR+pNxDA4rpXsG5RIV587RW8siobE9Q7TgkDEVnhtgQuyTAr3oMSU9FPINn5rxRZ6RSBZ9b8KrRtKTJelzSj79xBtB4Slf/5YlxOE4OxXdJxR14IrZFt1IeD+wPIvUW8OhNC4Pp0NX0Ijm1F1bRiFEw2x1UarYNMo3rbLozg5gZMWlqAjHFqkjSofWY8Js17AotvUeuUUYDCzzdg47GrM5QJ1jny2HUYQ5XGS21o+B9taOvuUROGz5COFdLlEHbVNqH3VMijnF6l3PbVmCHe8TtRYBK9kKKTxwrk4g7zWOHGLU0MMInoCvqMJqjXY4qshOfvz0VLXYGo7iVBBjBtr6JhP3Bf0cPInupVzR9lMoDZuRU7zmRgceFiZMY7WSih7TUI3T4D+xatxflndqNxUYZ6pwuNz/Xg4WdyHUGMPDHlo+qQGnWRXdGC2oWWHJUnpgO5aEQRiraoaTGyUb63NloZ1r+nElhrneZGtvAUoUmNxWOkqyfJ+b1Lhqw8hR4tRmhdCMvMMiTXdYWfpReisaMMmWrM4LIu88rdy6cMvLYFUFsil6A+t7wRHXLc+p5HerIrGpG7v8i2HWPXN3F69H2oMmCsi9rOHTmtxl89bYJMzzqgwm09/rADRS9OQu2zznI2TD7ah9VPXUTZTxbDLNlWMv2VqIi7nQdN5EfpmWWuy479Xv/luHBzB8pEIGqUv/j7R3Qe+35buLkFgUb3/dhcvjR8+SMC1rqlePznIYQXqXI6JInzy7oeicj1XCCCrPAtHvtbSvBbhizHWksZlXmw9fpaR9mS5WYrAnXOY1WUDKhbc7zy2vp5l3OH1/HNQaYtv7LNdZvK7/c8r5jHRCKioZCBzFh0vrlEm/X9Xdp5NZ7QJxe1zn312qqnG7S3ewbUxDHgk/Pa2y9Xaquqd2mdf1LTfDmvvV69XftAG9Derp6rzVrQoHV+ot76cJe24Zc9asTD0Q1aSbPv3FOOaxtmbRD/GuQ22HBUjejk+7O0WR6D7+8T6S+pNb/FBz/zy3lkOswyoz4Tuw5Ocp1KtF0fqlEXelkUy9aXY81X8ToyXRebP+a8x2vlfOe1Xd+P/S5z+dHyLpbj+trgPz3m98p0qe0q57Hmpcwnj/3sg21LtDVvXFRjI+Gi9ua/LtG2h9Sow/FaM69i89UYXLabyoPYIVquJZmH3uVVbif7/G5k3notw0i7XI5bWoxtFF2/aLmIKa/O7WUxqPxxE9qurWo8rh38kfiMR1kYrJj1SdZ/HdTW//BN7W1RFp3bMPUZ5cMzfzzLsnWw5Il5DIw3mNvXNu8GbZc8pli2/flmMc1P2UmaKqvJHP+JiOJI/UBGBTCVP9yaZAAzoB1vrNQq/+UxbdU+n6fu/+rUtlav1zbIz+xJEEgM9OgBTOW/vZ5kAKN88ra2YZNxsB84vF6bO2uutv6wsX4X31ivNXTpLz2IE6So5EROVNZ81E+OxskvWhHzqghFB3uFzV9Fz85RqUt4Iktm/miFQC83vk+S8nMJKnsyv2wneGcF2BIk6I6LvBfBhRh2WedzBlqKuQ30SulRFVRYtpEZkEUknR7HOrpVjhxpMohA+ilnkDGIfeaTHu3Nf1uv1a97XHtMlGfnHiqDpZI9bsuS6fZbxizl12vb6+sdzYeEFWwxvz1f7WLz3S4aZHjzDGRE2YnZRuYQ2VbJ5E88Ipj84Xrt4H8ZZdG9LAyW2BfEekXSbtk2cj39fFdn4yq9DOrz28p16jMuMpiv5fYX5ThuniR63028z5hlSM5jOV84huh+YtnP3IZEx13HPkhENByGPZDZvXu3lpeXpw/y9WD5OtGdf1Nb880SbfuZ5FtgBg5vjZ4gq9+OqWDFEif8Tdu1Dz4Rn21bHzdtAye2ao8t26AdTO6MY9fVoG1oU6n6pFNrWCBOFE+/LlIhT3qi4hEnwc4KiT5unmwc6baeTCPkCSfuSclycnSrGLtUOGQ+Ryp+CZef3Pz6Noy8L0/Oca5yWti+w5U8cdtPvG75JZcjp+npkOuugg9j+buMk7+ZXyqgkd8bW5GRr4zKhbxCqr8n1j2axuTSY38tPivzyJmXMj2uZVl+1xrtTUuDTPL7jKiIvlyvV5LlVf8lbuVij3XbWVnK2DAxtoexRNdybxPn+z3zLCqyPd32D/VZz0DGJV2x6R2e/Blo36CtV61uPb983Ci/+pjhg5eXaPVBNRLjA23rdxpitqnB2A+d+2UkD1y3uUPPLq2ysdN4LdIZUwke6NRery7RFsx6TJwDjEnn2+q1kuJV2oY9nb7Kp+7D8/pxNTlx1v3UVm2JugjlyXmBwnLM0LezOk7Yyo3XoJaj75du7zuGaDkyjjXGp1V5Uscbs2x6lUcr43tj9+0ox7ZXQ/xjLxGRP8MeyMgAxjxQydeDpR8c/Zyo/yROZv9WqVW+/LZ23ux65UNP20GxbOMAu94MGOIZ+EA73mXM19m4QJub4EQ10PO2tvWHlVr9vk7tYhLpMp3fIyqzlkafnlcfE3kqT9giqPlX73yR+WY7QaiKVKKThqwomdstdnCcpJwnYR+ilTZBP0nHO/ElMb9cv5hyIivhiSqq1pO4B2elX/+MozIlqZP/YLlWqlUe295LMj2x21Ssr3MZ8nvc9rOBg9p6R54nvc+IeY8HjSVffGONNuup12O/J2adlEGUsYQsy3TNcxuPvBX8VO5sgYxtPaIBiD2QiW6nDSL49arERsrZcOSPvEDyw11ajzo+uVZIB+JvZ6+3nflrLDtRnltd1N780QbtbRkESzIf3a7mB1/XNvz4MW3BSyrgEQHG6/s+UK/tYtJ6/qBW/6P12qoFCY4DHjyz5pMBbSDBMT9x+XMzyODVax+PlDuZr3LZ4tyhtr/12BEvnfp8ccqhud3djo/ys0M5bhIRSan/OzKfm457nyxH+cJr0f5iFaq2tKPXx4OQMuZlI/0Pb6L52GLclWV5tKyXtAAyb5Lz9aHzaC8eyJxhTPeQljEbhRXlWDHzIpqfrcLGli70X1ZvJhRG56lrMcNyB3RG3mLkIoim+gZ0TpvhfgPmuWZUdhdHbv7Vn5zUGEDL5kJfTyOSN2t2dIhhb7lIe4vxuqMF5fPUDErf4VYEcpK9SbMNoV7jVXBbKzAvhFDcJxn5mF/eqL4CaIy5ITUTZWIdQiviPbGnByEEMEWNuZFPDsueaplDPn3M5ak+cj6DvKHX8UQf18F4UpC8SVaOy5thm1ZY3pdPAZp8B3JPyQcwFOpPMZOSTU9mibE9Wyqy1bZVNwWbT1STg3zCmj63Q3+/yCG7pPcZsVUyZxpbJvReK6bfPn3QN2oP+clXUq/IF5V/U6Zm639NscuXT5QT6VZl0KqnGwi4PZ1gSORN3sa2wvUFqNX3vejQuNzYP71u7B9M/vTtacCb59uwsWIt1q5Zi/W7O8VUx36WFn87u759rAYNU1vUjd/yJvIs5Ivjkly30Bl/zx0LH9uKplMhcew00ra2sR1plmOCqVeM3/fwvZi0pRnt8rh/LoiB9IDxpk0Qr+9zfHd6Np54pljsU2o8SZ5ZMy4Nadan/MXoQ+hUdsIyJI8PxtMNzeNKEZoOVSHf3HflEPPEMCO/I+/LQezjEEeKSuujteXDP7Lkzf3ywSbq4QKHAihWDwaRDwgwjx3ujO/Rb+Tf0qofz5xk+uXDKORy3MptZkkjApVbXT9LROTXsAcyJSUl+PznP68P8vWoMQOaB69F8CV/AU3oUDM6F9yFr6MLbcd8Puo53ImuQ9mYPs1PRS4a0DxxazIBTUikaLqoZlt8LhcFi8SJe38rMmZOVxMdJosKkHoKjDyJFKERHQmfOiNOkiXN4hslcXKqiz6Kt293jUvlSD4iOFqR81uBkictqMp6kah854q1C8R5opOf+WWAk7vX44k9Mi/25qJ1fpzHkx4KxVTWrdKvt1eIZACHvDti8rOnu009KlkEUJbKp1kRiASIkcFIc/rCWnSIIFM+kcyY3ohC+aQgfRumIzBN/FmeG1m/pNMjA71IRcfYzvq2lU8LMtMiAj7Xqkp6hr38KYPaZ0Tp6uwAZk93WeIn6m88Yj0aYHmE9KCI9V8RQu4cI7fS5+QidEDljVz+KffHzrpXvGMr1MPLqCT6/g2nweTPpTZs7X4YP6mrxrpn1+lD9ffuE2+Ig6a+TfoRbGlCdWUz3FY1/E4zdvx8I6r13wVyuKXMcjElH615onwn83Qq+bjlN6Zg3f+3NpK2dWsXY7Z8z1ZewqJkTUDgi/dh8bwdePWtfoRPDWC8W8EdRvHWvf+dfWh6vgrNf1ATXKl9OxnyuBA5fnjtu7Lc5CNU5JhPDBUiKG/bfzBybJfbyHqRKlgnn6jWhCIZ+KwQr9SxVz6NrKnR+Xh243v07epyocskj296OZDHIblcOdge9T4FAY/PEhH5NeyBzIIFC/DGG2/og3w96iaYAc0khF6pRvVur18Q70OwLYTFd4vTY0cbzqfLB8yGEfzJSiyt2Oc4cFu8145dGV/HjGQrVZPNgGYAr9dWY+Mhz28Auo/j/NQZsIdKaZh912Lx773I9IhjoozfI2n0UXno292AkKgMR879p6qQP78KTZX54iRmtjRYyFaAyO+SBNHqUQGMZank54RQJb4xXmuIn/kzS+I/3lYPZjZDnJzdgplM5C5vsvyGi4sMkSvmyV+cjCsrAyh2Xlk8VoOiU+VYZnnsaPRKqsHW2iKG6HuiQtDYFPm9GHNb6GNqueUijIvMn2x6LC0QeqVBVPv8/0rIeFyb4WwFG+Q+cy6ItvdEQObyu0t9Io3T/87l4c6TReBq/d0Qj6u+CUUqUUXAZkt50Vu8GvQgPLhNlK6i2IDfGTiaMnMK0WQGQX5YW8B8PYI3HQVryxGKqUBaDCl/wmh/sRUzls+2H2NE+cpGu7HNu4Ponzkbkz4aMN6zCeH4pVwszpqEng/Pq2lu5PGhHBUuV+Pj6RX7wcf3O367SK6v+BPqteZISIRbAbEOE5B9Vy5at72OXV1hBJL7uiTFW/cQgn/KxOzPn4dbrllNmQpUbUuiDDlbYuTgbE3VW2jtxyKTftEkzkUts/VWXliRFzoalxsthPo02+dk65ARLEVbWeK3rhsXnIxlteS1It+8uKKnN9F5gIgoAdXFbOw486ZWv2mDtuZbc7VZd96jlfyoXqtvTfCEsHg8+yoPaMdfekx7fN16rX6fufwB7e0ff0Obe+cq7XWPrrvyKUtzh6Pvvmu6PtC2P7FEW/TNWdqsby7Slmxy3FAt+7R/Xz6SOTF//Y/lvSTRPtHufaFlP+poH3L7fNHP++bV191LsvO7kctw7SMu0x8/n8w+3rFpMD7rdpOr9R4K62svej9zuSyzXOnrbC7XnsfJpMf8blsa5LKt5dez//yAdvBHcx03eg9un4n3cIy3fzzXI38cZUvPE5VPliHmszHzxW6fCLnucp5B7M/6Notzv4LtHi8PnvfIqHWS280sm7H75+Dyp6d5lbbkoW+I976hLXr6dc3civr0b92jzRWf+cZDS7QlL4sln2jQSl71PvbK+57i3ytlrJf79o010F6v0jBXu+db9drbatH69GWLtG+ItM29T6Rt3ZtGvp9/U3vTfHrjxTe1NXKdf3QweswcOK5t/dc12hp9eFwso0S9XqPVt5lbzn58k+W5J/i29vbh2OEDyxMBPNddHqOf2h7JV29qm8cpQ9H9Vmxrt/li7pNKLr/t6+5MjzFuOzbq+0tsufY+dxhczxlq3/OfViIid2P28ctX0vk9W21Pa4qSj6SdpY3sb2sMF3Vikif3mME4ecWvKAmRypE62blVel0rUG6VODM91kpDPMnOP1jOfEr0fdH5nQGQzM/ocuIPel5H8s7Ir8jnXfLYO9jyTo8pUiHyqOzqg0tlXlbWlmzzEzaL7/DcZ0TZ2jRXW2A+fcpGVPoeWh+psDr5CQauJOf2tu4/3mm3ljcfZdtRRqxGOn86XyrRtoc6tbfb5YYd0M732Dfw2z8u8Qxeo8wA22WIU4n3pf2g5emNxu9tPe75+1rH7Y9Dj5DbI/ljjG3dPzmv9ZjbQQ/+PtA6ReDj5yxhL0P27en7eGLLR+fxzDpY1tMM4uU0vYy5lyUjDfJzjsDZynlcidmubmUg+TwnInLzGfmPapxJPeFeBI/2xG/Gv2YKvj4zw9FNK55+7NvShuzl96pfM+9Ha2U+Vqc9j0OP9uDx5d1YuX81Zsdb4EchtHfF63IhTJqB2V8ekd9LJxoe4SBq/t8duG9zEabHvXnZuc8AoS0P4+G3Hsbu+ilourcBU19pxOIvqjdN7zWi6DfZaHwsYV9JugK6flKNtvQsZN2bi8z+fSjND2LxodXI1o99XWgsOY676hbrXb5GW9+hJmxsbMXAvWV4elGmXu7Cv6lB0zVlKJppzGMXRPPuKSiwdnOT54/DB7Hjf+zDpCdXouD22Qh8Tr0Xl2Pd39mIec9PwitbxPj7jahuS0dW1n3Inen/rENERIOT2oHM5TD6+xP0Rh43HhMmJBHGHNqBtqmLcW/kiTJhBDc/hrVHA5gx4Ut4eFURZifqg+0nXWkTMOEa9ZpojAof24j1vY+gfL53oY/dZ0RFs2U1Fr08gOzrp2D2P5Wh4MuOffByL5qf3YHAv5Qhk/tBajjWjuDMGUBbL2bM6MSqbYHIw0XGPpdAJmn9CB5wX/fejnaMz5rteQ8KERGNjNQOZIhoxPXubUTwliJboDI0YXT9dCNC3ygbxmXSyOpD21vnkZ11HlVr2pA+PQPffKwQ01MoCA2H4zwy2Y/+Nvd1DwfRejSA3NvZwk5ENNoYyBARERERUcpJ/R/EJCIiIiKiTx0GMkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENERERERCnHZyDTh+aSLGRlZaF0d5+a5uJcM0rFPFlZpWg+p6Yp4UPVePgHNWju6EVYTZN6d65EVt7DWPpsq/gWIiIiIiKixOIGMqGfLkVWTj5Kd3aqKS6O1egBTlZJs3cgcrkLTS/sQOjADnSFJyFNTRbhDUJd7cBHIfRnTEG6mkpERERERBSPdyBzqQ2vvtgl/vah7dlSVB0yJrdV5huBiz7UIGhMdhcOYd+zK7F61Xps7AbSFj2PslvaUf3YWjQdEMHL5RC61HJ760XQFFmuGuIFR0RERERE9KnlEciEEdxcgx2X1OhgpU3BhHHH0XpAhDtTC/FiSTZC28Vy39mHjYd6Mf4Px/Fmr5qXiIiIiIjIJ/dApu84DnadBz6Xi3V7O9DR0YLyecZb2RUtYlxOk0MZMo3JHtKQXVKLwgzx8lwIoY4mrK8PAdcsxvMiqOn5TTO65GyLanEosswOtFRky6lERERERESu3AOZ9PEI/6Yf+KgVa+fLbl75Hl3LStF8xpju6ZrZeKKiEBmX2lD1A9kVLQOFL5Qhe3wX3npFhjFpWHzXbMt9M0RERERERPHFvdl/uKRlLcMTOcbrwPJ1eCJLhi0ZyH6yEJnXBNC5ZSlqfmN9lhkREREREZE3j0AmE2WWrl7eXctqUXC9MT2evr2VqDwgXsxcjeonJ+D1VQ/jrqdaMSm/DE8/1o/gb0Jo2tmKfmN2IiIiIiKiuDxbZPp2l1q6kHl1LUvw1DL1uzL5FW3Gb8e8U42Hb38YVW+F0H+oAc3vAdPzCo37bPa/jlbHb88QERERERG5GdmuZZMDCKiXTmmTJ+DgsS7gi7Nx71fllDY0H+AjzIiIiIiIKLHEgcy8crQ4u5btLYe/54pZuqhFPlOIRjF+aO8raFwyXYwHMPt++RcI7jkIhjJERERERJTIiN/s37tzJbKy5mFjh5ogdPwkH/OySrFP/dpl4Nb7kJmzGKsfuwOTjEmGaQH+2j8REREREcUYXCDzifzJTOWWMqPFpa7AJegII9TVLv7mYsY0Y4qUnj5DvNOGzpCacFMhGl9YjcU5GfpjmM/3mW8QERERERHFSjqQCe9di6yFVZDhSQxrgCNd7kT7XvF33mx8/XPGJCkw4+vIuCYdXd0uAcvlENrVvTKzv2hrnyEiIiIiItIlHcik3TQds/VXE5Bbudh44ph6Olk0wJmACX8t/vyhE6HJE5CZM9veWnNTEXYfaMGmReajALrQuFA9Ce32h1HzjpyWibuyMvR3iYiIiIiIrDwDmfSFte5dxqYtwyb9Bv63UD1fBRrpGdGnk12Tjnsrn0DuBPF66mLU/vwtNC5KFJBMQoal61na5Gw88eLzWPxFNYGIiIiIiMjiM5qgXhMREREREaWEEX9qGRERERER0XBjIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlnLH7OzLn2tH4aj8Knsy1/yDncOtrRfVTDWjv7ULoo0ys3tkY+SHO/kM1ePyFZnR1A4GvzsDD//cmLP6y8d6w6u9Cc/1xBJ5ZjEw1SdcfRNOzTeidmoGB7jBmP7ka95o/Enq5F/teqEH7uKkYf64bGUvLUThT/gopEREREdHVb8wFMn2HNqJySzcmXNOJfZ8Uo6WuYHCBzOV+hNpeRcN7M/H047MRv4rfi+bKtWjeH8T55a9g94rparrQ24yajjtQtnAQqbjch+DOrWhOK0D5woCaaPF+M1b/WyvSxvdj31uZaOwoswQyfWguWYWBH4jAaqoYvdSGquXHUfDTJ5CZFkawbin2Zb2C1fPSxPeE0LSiBpPW1+LeycaniYiIiIiuZmOua1n6vCdQ+2I1nvqGS8XfDxnAHGjE2h++it7rH8a6hEGMEA4h9MWn8fTyDPRuaUZ7WE0X+t/rwrUzkgxiZADz8xqsrX0TyClzD2KkmwpQXVeLdUtt7TAGEeQ0HMrEDBnESNfMQGZGI/Z1iMT1H8SOLRmYPk0EMdK4ADJvbcPWt0LGOBERERHRVe7quUdGBDBdLRuxes2rOD+tEOsqi5A91WdXq67jCE8PYHp+ITIv7cCrb/WrN4DQe2mY6bc7mQhg2rdUYfULBzE+rwzrfrAYmYNsIek7dRy9WQFMUuNAGiaI1TnYJYKV7k60IoAMS3w1fkIGuoIhRFNORERERHT1Sv1ARgUwVc824+LMFah+rgizM1RLhU+9p8LInC4+88U7cO9MoHXb6+jV3+lCx6VMzBinj3gL9+oBTNWL7bh2YTmqVxVg+ufUe4P1iRhEksYbY8IETPo7kdb+AbHOYchGo/GWdE1KDwD9/fp0IiIiIqKr3bAHMq+99hruvvtufZCvR1RfK9bmr8Xxr65AeUVh0gGMoR+df8jAdL11IwP3PZoLvNOEfe+J0XOdOB8IxO2aFn6vCUUrdiB8fznKn7x36AGM0tPdpl7F6jvDLmRERERE9Ok27IFMXV0d/vSnP+mDfD2i0nOx7udP4Nrd61G1pR19l9X0pITQiYD4zzDhroex+JpebN4jlhcMIm16/Ht10r5aiBefy0aovgobW7rQP6g0xJoyNVu9ipV+/SDvHyIiIiIiukqkfteyz03HvU+Wo3zhtWh/sUoPaHqT6V/V3YnwV2eoESFtNgqWZyC8/VWs3z+ATB/3x6RlzEZhRTlWzLyI5meHKaD5KzF8NICLxpjQh95uIGPCeGBcGtIQRr9lPXt620UUNkH2RiMiIiIiuuoNeyBTUlKCz3/+8/ogX48aM6B58FoEX/If0PSf6kXGNHvnsel5hZiOVrR+NBszfD4vQDIDmiduHXpAk/7VbEx/r9d28/7AJ8AdsoVo+tfxAHpw/iP1hhQOY3pm/G5wRERERERXi2EPZBYsWIA33nhDH+TrUTfBDGgmIfRKNap3d8W5AT6MYAeijzg2Tb0DBTOBjNtnIENNSspkM6AZwOu11dh4qE+9kYSp38Tiee0I/l6Nf9SOtu5C3JuVprca3bs8hGCnWrPLXejYn43Fd7HLGRERERF9Ooy9X/b/Qys27gmi98AO7PuPCcieX4Dptz+AJ+4aVEghKvlicHnqWP+Bajz+4psIvd+PCTfdgafWV0d/NV/ob1mNTRPWGT84OVQeaZC/3L/jlYPofudV7PgNkCnWNSszF8sWZRotK33taHz+VZx3+2X/SyE0129CkL/sT0RERESfQmMvkCEiIiIiIkogtQOZcC+CR3swoEZdXTMFX5+ZMXI3wX8UQnvXeTXiYdIMzP4yW0uIiIiIiIZLagcyl8Polz8QGc+48ZgwYQSf5eUnDWkTMOEa9ZqIiIiIiIaMXcuIiIiIiCjlpP7vyBARERER0acOAxkiIiIiIko5DGSIiIiIiCjlMJAhIiIiIqKUkzo3+4eDqFnUitzdZchUkxLp3bsaq5qOI/R+H8ZPnY4M88lhl8IYn1WI8pICBIbraWLnmlE6P4TiDv/pG1Mu92LfCzVoH+Ef2Oz7TSO29xfgibx0NWWs6ENzyVYE6nLRWhLCsroCjLUUEhEREVFUyrTIhHbWoKk3hNA5NcGHjPnVeOW/F4hX96L8J6/glS1q2L4OdxyqQunmIMLGrEMW3FYFVCyLG8QE67KQleVnKEWzx3oG67zf08mAqqRZVMudRCCYVSP+dRNGsL4Uwex1KP/BE1j97ErghbXY5/U9x2pQujv2G7z1oe3FUqxctRaVz25E1yU1eUwQ+aLnVzoKioCG3VOwLK8VW4+ptwW53Wos4wklnT9ERERElKzUCGRE5bymvlONJKf31DsIfzUTAWvjwrhJSJ8q3wuhX02KIQMCZ4BR5x4GyHkbtgBtlfn2+R0BSWZJBzo6zKERhfPK0SJfby5EdkWL5b1aFEwWH3BJQ9GWNlTNt0/LsgYuIthD3h3JtSb0H8SOLRmYPk393s64ADJvbcPWt8SyfJMtGl6BUjqyH6/FpuefQq7Idz/6dpfa11EMMcGEzB+vbSKCCfv2kumzL88YitAkgtp8+XpFk74N87uLUXaL+piTdZu4Boxe4uUPERERESUrBQKZMNpeDqLghTJMRxtCvWqyL2GEutqRNm8GAmqK7lInukSlODNntmuFX285md+K3L0daKnIRuFmI8BomdogKrDOFhFRQV1XJVJWiMZIICIGEZxgebERkERYK9OxFWizch25mj+5ALXWZYqhcXk2ykW6rNM6LN2g+s6EELg+yU5R3Z1oFTmUYfnY+AkZ6ArGCfRiGC0aRV6BhW+y5SgL+ftzRZDXgvJ5Zr62INAo8scRtLWplzFuKUMjGizbSqSvzpFv+mAJKM2hRLarRbdVkQhSJT240rsPGvM1TquytdzEN1z5Q0RERETS2A9k3m9C8/WFyL1+PCapSf514vheIHeaJYy53Ivmykocf6AWzz+YoSZGycpqkagCm60iPd3RqnL6wlp07M1F67poZTpYl4/WvBYxPYCGSCVbVMZXAI16hdjJrJh7tMjIAMjC2R3NrUXG2lLR0w0E9NUyAoLofCJwEv8V6a8dwdjlsN7Fbvw4Y1SalC7yrL/f0vXOEoQ5Aq8ss8vaLctQfsoaPCRLfoeo7cvAUQ/OehA6pN5SgUhLXisqLd22sqdOUa9iZT4qttU298Ahmq8yX9xEA5/G5UDTChFcdReL8eg9UFOmZqtX0mjkDxERERGZhj2Qee2113D33Xfrg3w9JDLo2AYULxKV6vQMvVUldCZaiU2ouxNtl9IQ2r0ea9esFcNqrHxkFYJ3/QQ/+UE20i0Vd925ZlRWBiwBSB9Cp7JVYKBMLkDxtFYclJVR2aVMBD21C9ON1pO1QGVJKUqzGhDY63XTvxlMeLTIiNdW9u5o7i0y0W5QMr0BBPRWoEyUWebRA6dIEKW6rimyFSexaMXe2kpljIfQoAcXstUhgCqP4CGRvt2VqJrWGF2fcyGE5gVgDVXSFxYjsP+gWFMf6Z58B3JPtRpBhNWxGhWsivTvLYc1HIkl81T8WS7mjwlMRV5HysbI5w8RERERRQ17IFNXV4c//elP+iBfD0X/W00IzS/EdBlwjBtvTExC/6kguq5ZjKc3rMO6Z+VQjU3bn0fmnoVY+mLsjf59h1sdN+zLFgEzMIiaMlUEVLKLmwxeLEGP0cUsF7nLvbrARSu7egXa2aVJDXpgJLjdJ+J6j4wYkroZ3SH9elvHu4SirT4G2+dvyUXhFpfgIaE+HNwPlD9qCRZk17FpAZFrVlNE+BASW8aPdASmNaHVkTcyACrMUd8zWWzfQyowdXNsK6oOITq/RU+3eyA1MvlDRERERFZjt2tZOIitr3QitLNStaY0oP0aoK3bXxVW6gzuA+7MRMDa8jIuA5lzRFV4cyucjw+Q3chs95cca0XT8tyYlhVrd7Pozd+VwFoRiNQVoKCkA7kHYgMMWzex+SLoMVtkXAb5Ob0rm96SYoh0P9NbEewtM543p/sxLg1pIqzrt0R2Pb3twIQJYrpTEK1bYoO7qEwRyCX3dDlDbNAYPNDkEkBEu5s5AzAZ+DkDusycQtdWPHNa3+4GhOapwDSG0UWwcLkatbG2flmNVP4QERERkdWwBzIlJSX4/Oc/rw/y9WCFdu7DlGcbUau3pMihAotlZf2TAWOGhERlUVRqZ2fNgP3XUPr1m9gxMyPmnhv7PQ9eFelodzM9MFkXQkBUhEWIZWspMW8Ql/dWmIFJpJuYa2uMteuXNTAxuojJ7kptskuVfBrXOqBCdg/rFa89H6ksWJ+w5XkviDD963hABAjnP1LjUjiM6ZkBR94JHsGdVWaJveuaP1NUPppkQFCIXGeAZu1udktupJuZnH9rZSB2fsEZ/KYvrEDufqMrn3yoQO40ewuKKVgn79cpQ64a92XE8oeIiIiIrIY9kFmwYAHeeOMNfZCvB6W3GQ39BSiwVS5lNyHxp7tXVVxFXfudRqxc7vF7J+eCaHsvA7NvttdQe3euReWhbJQ/uxjOuqu8wt90QIUF8j6KU+VY5qgYG/dxGE8j0wOTumUIWAIQ26A/ucy4F8PaYiJ/c8ZojTFvujdvcrffV2PtWpZf2QbIz8h7aCz31hj33JjLkXlkXu2XXd2MJ68Z6ZFPAFP35zifnJU2G/cuDyHYqZpkLnehY382Ft/l7HImltkYG9zJgC/pJ6XFsHcDk0FEKOZ3eYzue4Ei8yltmSIIMZ4cpresuP2OT0bA5R4YSxe/tXBvQVH3P3m3dEVbhvp210S344jlDxERERHZyF/2HzMG3tbqly3R7rlzljb3viVaffuAbfqib87SZt15j7ZkWaX25nkxuX2D9o0752qr9oiRiB5t178s0ZY89A1t1qy52j3fEq/FZ/XhoUXaY+Vbtbc/VLO6OF4rvmOWHDZox9U03Ye7tBI5/fu7NOu3aWJs1/cd85qObtBm1bq+oxzXNujfpQaPec83l4j3S7RdIt3Ha42/1mlWcvqGo/orkS7r+/K7jHTKdSxptq+F9l8faLuqV2mVP67X1j+9StsavKjesLCsT/R7osuNp6e1Xqv/8Rptib5tS7T1m+q1N8+oNyMs+eHIC2N9XdJtfiZmu/igtqmxHt5kfrnNEykrZlqHkD9ERERElJzPyH9UTJOa+vah6Wg2CvNiOkENE/kYY6NblnwSVewVetmakq/fEO7K+rQr2dVL3htjjAmyJcfSCiO7ja1o0u+FkTf8yxYZ2RJjjkvyl/1Dj5pdk8zvlvfLqGliGaVnlhnzO77PPf1+yXxoRW4kvdF8saZv2Kk8icmrIZLdAou2WPItDjlva06ivLtC+UNERET0KZXygUx/SxPabi/EvZ9TE4iIiIiI6Ko3dp9a5kd/G16/nMsghoiIiIjoUyb1u5YREREREdGnTmq3yBARERER0acSAxkiIiIiIko5DGSIiIiIiCjlXF2BjHzccEkzzB/MvHrJxy7bf9FfPqq5dHfsmsvpNfJHJuVjmeX7Mo/0H8QMouZTkVdEREREdDUam4GMrGyrX7Q3Bnulfajk74LolXsHr2AgVmwgMTrkb5PI/JC/HaN+pV//Vf8+HNzfhrbK/GieqV/vT5+Ti9CBaEr7DrciIH95/lwIoWkB9Qv5RERERESpJQWeWub8ocE4ZAC0DqioK4hTQZdByFYE6mKXJwOZSlTYfrzQ+OFENRLPvHK0xPte9UOVxd2Vlh+0jP5oYiL2H7O0r4ORRvMHI63veSxfpLUxrxVFldGf5kyYfiIiIiKiMSTlAxlfgYatki6WVxLCMpdKu1sg4847GIqS81h/dV99Zm0ADdsCqDV/7d+FXKeGqe6/Bh+zvua6yV/AP5CLlqkNsesQ+YX/6C/ZB+tKIwGV9TURERERUSoY+4GMXgkXgYyqgMfl2iLjCFzkPCqQkIFLvrVVwmp5IzocwYZ9frMFxJ0+b3cxOh4NifSHUOynRUnwE0wFd9egdb94kRfAsoXmujoDJ32i3hKU1RhAS1EIlWdykbu/AVhbjND8IkBv5fETlBERERERjS3Dfo/Ma6+9hrvvvlsf5Osh6w2hTfzXetjnbemJ7vsQy8PUKfrL9IW16OjoiAwtFdnIrmgxxp0tJiIAqtyfixZ93kYRxsQh560MoFEuY3IBKipCKFL3rMSlvqPCK4iRQVhWFlqvX4aAGM2dA1SWNKO5Tt4XUykCFJm2CmCdGJc38qtWmo5IYDcFBXW1uOOwCGYqytW9Mz0IiaUZOUJERERElBqGPZCpq6vDn/70J32Qr4cqeKAJhaLSjf0HkSiUkTeym0HKsJMBUN4dkYAgMK8JrS4PDNBbgPQWpGgLhwyYGlEUuQHfi34jfpG1NclBBEW1IpAquyVdBCRi+XJcBCkFJTKAMVth5HtiXAYvt5QZAZkKaMxWHpmesoV3IPdUK4LHWtHEm/6JiIiIKMWM7ccvn2tGw6lyLJOVblRhq2vgYDKe3BW43lEll0/nUi+Hqq27x3hxbCtakY3QGWdoJbtpyS5bsd3gMktaUH6qKO5T0Xq6gUCGGvEg75GJPs3Ne9CfyqZacLJWNAFbRCAVeV8+cS0dd+SFUCTeK5RPMSMiIiIiSiHDHsiUlJTg85//vD7I14MngoJ1VaqFIh0Fa8sRWhHnkcciuKiCCHoiT/byxxoYeN4vI91SZrSq6IEBkJsngg5n0CQDnLwWy9PFrGRLSQty9+e7PvrZ0IZQr3rpIVNvfbEMe8uRLe/nsU4Tg54GvQWnEYXygQBqeuNyeQ+N0VqUfr3soFaI3CTzjIiIiIjoShv2QGbBggV444039EG+HqxgXb49KDDvNXH7EUfZ8iBbFty6Zcl7bKxdpzJE5T3SslIjQhNLELC5UP0Wi/xtFmMWq2gQkYtQpUvriQh24j/xTAYzjcAK99+xycwpRJPlN188yfW1dlOztbaIwfJe3+6GaNcxvYUrF3forUVB1KwIobwC/u7fISIiIiIaQ8Zg1zLZPcv98cP6vSbTqpBvDWbk/R/zq4AK95YQ/R4ba9epyQEEToVigyGh70zIuNl/by5a53u1/sjHQRchVFExyMcVZ6KsQwYzLsGS2eqT7C/uO1tkLA8q0B9okNNqBDjy6Wn6jf/GOuhd4BYa3+ndSkRERERENPaMsccvywp2AwIJHrUcebRxCdznl8GNvC9EivmhR/vjhm2/y5LgRyHNxy/bf5xy+Nkf82z5MUzZEqP/HowP+uOjZf4YP4gpA7TaOQdjfk/GIPLd47d1iIiIiIjGorH/OzJEREREREQOY/upZURERERERC4YyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyPqMJ6nXEn/70J/WKiIiIiIho7HENZIiIiIiIiMYydi0jIiIiIqKUw0CGiIiIiIhSDgMZIiIiIiJKOQxkiIiIiIgo5TCQISIiIiKilMNAhoiIiIiIUg4DGSIiIiIiSjkMZIiIiIiIKOUwkCEiIiIiopTDQIaIiIiIiFIOAxkiIiIiIko5DGSIiIiIiCjlMJAhIiIiIqKUw0CGiIiIiIhSDgMZIiIiIiJKOQxkiIiIiIgo5TCQISIiIiKilMNAhoiIiIiIUg4DGSIiIiIiSjmf0QT12t25ZpTOr0KbGrWZV46WugKkq1HfjtUga0WTeJGN8r21KJhsTCYiIiIiIvKDLTJERERERJRyEgcykwtQ29GBjsjQgvJ56j0iIiIiIqIrIHHXshh9aC7JR9Uh8dJX17IgarKKIDuSJSu7ogW1C5PuuEZERERERFe5QXQtu4iBj9TLYz3oUS+JiIiIiIhGS/KBTH8IwffU60tdCJ1Trz1loszWNU0MmwvVe/ei+i3Hex2NMN8lIiIiIiJyk3Qg0/+bVuxTr4E2NB/oVa/96w11qVeTMGmCeklERERERORTkoFMH1p3G2FM2jVp+t/gln3ouqy/9KkfnR3txsucGZhivCIiIiIiIvItqUAmfKgB6+VN/ghgRV0tCjPEy96N2Lg7iVaZj9qwr8V4mTkvM+6DAgIZvNGfiIiIiIhi+Q9kLrWh5pkdCIuXaYvKUHjLbBSX3AvZLtP2bCkazftm4gojuK0BrfrrXCzOk5GQQ7hf/w7dX6m/REREREREFv4CmUtB1CwvxY5L4vXUQrxYkq0HMBPynsa6fPkqhI2Pl6I5QcNM+NhGVG0O6a8DTxbj3s/pL+0+Oq+ehJaBa6/RXxAREREREdkkDmT+sA9Vy4vQ1C1eX5ON8royZEYCjAnIXfMiCqeKl5faUPWoCHbe7zfecujv2IjHSppEyAOk3VSGdcunG284fdgD4w6aANizjIiIiIiI3HgHMpf70L55Je56cC2aZRAztQDV22pR4OwNdk0myrY0RoKZ6iULsXJLEP3mAwDUchY+3oiuSzKIKcKLmwsxfZx63+pyP9r2NBldyzK+jgADGSIiIiIicuH+y/7hLjR+Zyk2vi9H0jB9yfOoK81GulvwYboUwo7KIlTvly0yach99jVU33XevpwHK/D8M/ciw7Kcrp8sxNL62D5pgSdfwauPebTaEBERERHRp5p7ICOE39mIx1/8v1C86mFkT/X5Yy+X+xHcshpNnytH9YOq6aZ7B1b+sBv3/veVKLgpdjnhQ9WYV7JDjYlwZ3ImHnj8aay8fzomxAuciIiIiIjoU8szkCEiIiIiIhqrkvodGSIiIiIiorGAgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKWdkAplzzSgtaUafGv106kNzSRZqjqlRV0HUZNUgKPNL/lVTr4RgXaK0DgHLAxERERENs/iBjF7BzkJWZBjeyrZX5blvdylKdzurvaLSryrD8nPO9+2fkQGCNd1xhrrBrJERpMQurxTN54w5gnX5aM1rQdktxnhckwtQuzeAhiHmr8yDmmNeaVODGVAcq4m+Ftu5YUshcvW0ys9H18NmhMuDZKyDGhl2ct2SSLPMI9v6imFQ5cVLnLwmIiIiorg+ownqdQIyOGhFbkcZMtUUT7LCuw6oqCtAupoUS1bitiJQF7s8WZmtRAVqF1o/LQOZEJbpy5RpaUBgby0KJhvvun8mSgY/rTkdvgILOW/RFjWiy0a55bsMMv2VwFo53bou8rURxETSIvNjfhXajLH45pWjpS6ArVlFaFKTvNnTJfNg6/W1kXU0x5edsU+PEBX10jPLUNyd71jfqMLNXnk23OXB4FwHg3XbO9jythCN8dKTcDu4bWc7mb78yjbvfEkmPbYyJEZl4LRCbfXljegosX8ytlxauMxPREREdFWTgYw/x7UNszaIf90dr52lzZqVYPj+Lu28ml9fnm086nxziVbS7HzHMf/RDbblyc9sOKpGXMj0xXtf9+EurUSms1aupfX75Lqb003ntV3fL9F2fWi+NvLG1/dExM9TO/kdXstW6dMHkQ+1JfZ8twz65+V6qnWT+SanR/Jb5qttPb3ET3vy5cHgtR3dy4STJR9clu1/3YaLV3rs20uWIT2/IvNYy1Y8ajmjuk5EREREY4P/QEav5PupXAmWinKUqHRZp8l5VAXMrEy7DpFKmuPzgjVoSBRAmBVr73lkpdCyfi7rYP8O90DGJmHF2eNzLuzrKr/XmR/RQMcMBpx/ZXrMZdjSJl87810f4qRtWMuDzHu37xeDbR5HekS6Ewc3Uf6CIVOcNMnBbbsmmR5zm8nlOT9nbGM14kbfZj7zn4iIiOgq5P9m/94Q2sR/rYft96Z4mhaI341ILA9Tp+gv0xfWoqOjIzK0VGQju6LFGI/TXSazxOzeE0TrlmwEMvTJnmR3oNwD7vd2BOuKEKqoiHYrkuvrWIfMR8sROiA/KbtV5aPqUBuq5svlyddNKLIuV3YTagygRaVfdguKvd/ioHgnhFCieyTONaMBjZGuTJmP5qJ1G7AsrxVbzftJzh1E6yGgqbEZPWK0aUWW3gXK+jfSbUm6pcyWt5H83lxodFPSt0WcblHDWh4yUaa2feNy2b3LeK2PT6tS65iJZRUhNFjujeo7E0Lg+kSd1aJ6ukWKK/Njt4M+OMtENE3WQZZNvcuYS7lMNj0iRQiJbSbzPrZLZAAB1y5usjuaSK++Lc3yF3vPGBEREdHVzncgEzzQhMKKcmD/QVGViq/vcGskSBkV50QwMC8Xd8S5t8Ekg5+ODhEIWG7MNwKhQhRbKpOyUprtXIfJonJ5KiTWX1ZyW1A+z6x0y9fR+yH0oEUGMZZ7OozvdQZpBQhMa0OoV83kIbitCoEcS8VZPhxAVKRlAGgGN32HRWA4T1Sxp4nKPiqM5bsMtvs65P0c6ob/SAVfVpC3FKnKvfeN6CNTHvoQOmWvwE+ZKgMHQ/qcXNv39XSL6r4MXuV6RAISNbg8Jc3cBrGD3H5qpjjkds3vLhbzuwd4yaanb3cDmpCN3DnOIEbmg3ppIe/PkUGzvP/KuQ7yPicGM0RERPRp4i+QkS0Cp8qxbOEdyIV5hdxLHw7ub4u9Mi2DDfVyWMgWD/UEKVnRR94d8VuAbGQgYrmpWw+EAohWteU6ILaCGbMOsVfNZWVXPlSgQwYxeoU2/lOyZEU9dCZeBVRWahO1NgWxdX8AudPEy5wy1M45GFuR1gd78FYzP4RiFWy5t8h43Pg+UuVBtiqJPPUMeSbL7wvpLU56voh/W2WLhFwPS6VeDi15rch3CR4Gx2gF0W+039LqsT2TTI/Iw0qxzQpdA6gesSx7PsggRj7MQi7L7YEWmSWNCFRujVvWiIiIiK4mPgIZUYlbV4VAkazwpqNgbTlCK+JUzo9tFVVbUcl1e6JTHNauV7IrlCfzavcKGN17REDj+SQnv2RLi3qp0yvULi08tu5msZVNydrdrWa+WMreeE+tcrYyyKdzOSvf6QjIACUOeWUfYvtE1kG22Dgq0sYQDUyCdfKpb9G0ubfIiCHmccMjVx70lpu4Aan4PvMpd3IbbQmogCE2j9MXVohvVUGPDHrN9XEdzK6B8rVzXWQQY7aCxGm5SSY9eh6KsrF2mb3cxSFb3/QAxiz/crCVlSkIWNMWWWc+3pmIiIiuTgkDmZjfQxGV5IqKEIrcrnbLSpaoCBfqlVwH5z0nGaIK121U6/RgBGYrgBg2F6qKtaUSJq/gH6pCvh4cGJXFKbKrzYoQyve2IHd/5RAqbKISKEKXg/rnrRV1KxFkyO96VFVRZXo87/uQ99DYHw9tFb1PQ6wfClA8TX23xzKnTAWqtnlfa7d2MTO+W1V0XQejop5ZYkmbvF9mbzmy5aOfzW1gDo57QUasPIhUba10toIZLWOurVF6sBYvSDTuP9HJ9XOul21oRKH+qGT52rpMmZf5CBVZW0HENnIrZ8mkRwR3rXmW+7GcLK1VwTp7YBXcZpZ/1cpjBpqO1qzgARHoy/XZm4uQ3/uYiIiIiFKJuunfhfFEJa+nMOlPAbM+iUo9+Sre/JEnZuksT62Sn7U8BSrydCn9yVgbtOMxT8gynyhleYqVOa8adYr9fgf9815PkDKmWz9vf6qU5eljrk+TsjwBK+bpXYL5VC/51/UpZ+rpVm6ftYg8nUzNL9fDyMvjxucjy07wRC7rEPnMyJYH6xPFInlr5os+NQkJvjuGo/zp9PIQ+1SwhOXIjWd6ZJ7GfoeZ126fsX+/3I7m/uFIl/pOPtmMiIiIrlYegYysICWuAMnKp1EB9Jg/UplyVHJ1srIWDTzMYMF9XiujEu5WmYymJ9ZgKqD68tzSExNwqHWR6zuYirfkWdmNiqRHH2LzW76/oTlaATfzNLJM/Ts8gr24QcMIlwfnd6uKuZwv4TazzBsZPMqAVfy8lOn3yCfrOsjBrWxY35eDZ3q8Apl4jPJvW36cAJ6IiIjoavUZ+Y9qnCEiIiIiIkoJ/n9HhoiIiIiIaIxgIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlHAYyRERERESUchjIEBERERFRymEgQ0REREREKYeBDBERERERpZzPaIJ67dvFixdx5swZDAwMqClEREREREQjY/z48bj++utx7bXXqimDDGTeffdd/O3f/i0mTJigphAREREREY2M/v5+/PGPf8TXvvY1NWWQXctkSwyDGCIiIiIiGg0y9nD2BuM9MkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyGMgQEREREVHKYSBDREREREQph4EMERERERGlnFELZE7uWIni4geQl5ODvNojCKvpwGnsXF2MB/LF9IeKUVx7GB+rd4iIiIiIiNx8RhPUa99++9vf4itf+YoaS8LReqz8n+/ixIl0VLy2Dnl/o6YLRzbVY/x3n8TN49QEIiIiIiIi5Xe/+x1mzZqlxka5a9npD4Bv/feHkIMD+MVbZ9VU6STe/ctM3MAghoiIiIiIfBjFQOYCTv5HBm64Pgf/+FAaTvz0DZy8rN764/vov/FGfFaNEhERERERxTN6gczlbnR99ibcgDR8Lft+pP3nFvzqqHGnzMfvvo8JM67TXxMRERERESUyeoHMB+8CN9+ov0y79R+w/Ath7HztgH5j/+lO4KYb9LeIiIiIiIgSGrVA5sIH/Zg6Nc0YGXcj7l5yM/DWL/BGz0n89o834Sb1FhERERERUSKjFMiE8f4HE3DTF9SocN1d8qb/E9j2P1/G+1+6CRPVdCIiIiIiokRGKZA5jfch74+x+Jsc/MMDwNm3DuA61eWMiIiIiIjIj9EJZM68i74bboK991gabst5UPybh5mMY4iIiIiIKAkjHMicxs5/LsayJzdg56ZSFDdYf9Ff3fQ/ZyZu4HOXiYiIiIgoCaP7y/5ERERERESDcEV/2Z+IiIiIiGg4MJAhIiIiIqKUw0CGiIiIiIhSDgMZIiIiIiJKOQxkiIiIiIgo5TCQISIiIiKilHMFA5kL2LN6Nfb8UY1ecWMtPaPvwt7VWL33ghojIiIiIhq7rlggEz78MjYcPozus2rCFTbW0jPq/nIYL9cexuHTn9YMICIiIqJUcmUCmfAJvPRve9TIGDDW0jPqwjjxv+rxac4BIiIiIkotVySQOf3azzBh9TrcL1//x5XvyjTW0jPqzuzBzyY8g3X54nWoG+xcRkRERERj3egHMn8+gG3/8Q94NHMC0tSkK2qspWfUfYwDP+3GPzx0Myb8tZpERERERDTGjXIgE8aRn/4Wc78zRwQNEzH1VsTek3H5Y1y4EFYjLi5fwIU/q9dD5ic93t8XDm7Hhv9Zj8q1W3DiL2piigkffRm/vf2fMEcEMRP//jaRAd2w5UCC7XGhYzsqV+Ygr/aIyE0hfBL7n12Jlc9vx+FP8YMTiIiIiGhkjW4gc3Ib3vj7R5HzN3JkvP6/1cnX1qP+uVV47vDHaorVBRxu2IAN//dK/Oy0mjRUcdOT6PvOYk/wBjz53SfxzD/0ofR/nVDTU8jlk9jWMhWP5nxWHx0/zt4mFX97GCZm3Y158x/B/Xt/iQMy4Eu7ETnffAjfLn0Ec/7WmIeIiIiIaLiNYiBzAXuafo2+jpdQWVkphhfwq9+LyZZ7Mm5c8DSeXPA1NeY0EXOKn8K3592gxocqUXoSfN+FE+ibeJPeHS1t6k34WgreW3Kh5WX8+sK/46Vn5fpX4oW974upp9GtWlLibw/lcjfw2W/hv80/jF+8ZbTlnPzjAG74dPbTIyIiIqJRMmqBTPjwz9D9wCZU/7ACFRVyWIfv5Yk3BvT/R91wpOf92l9CtsN8/O6/o+/Wr4nQJ4X85TB+dvofsal6nVr/Cqz77t3ijbAIToxZfOkR4duXJ+K2/OW48NM3cPLyabx/eSquU28TEREREY2E0Qlk/nIEL/0/0/HtW+2X6a+7YQ5w9Aq0ZAxHeibm4ZmX/xE3h09g2+vX4ZkHBtlS9Mf9qPxuGbafVOMWHx+uR9k/b8GJmFtUwjjRVIayphPGfSlJC+NIw68xfclt9gccXDcVc3AE3efUuA8f/15kxRTx4sa5uB9b8KvXjqD/b4ar1YyIiIiIyN0IBzJnsWdtMZYtFhX1Ay/juRbzNnJj+qqGI+L1Hjz33WJsH5VbTIY3PRO/8Fmc+MW7uO2HT+LmwT7xKzyAC6f70B+ODUnCfz6Nd98/K95TEyLC6PvgXbx/tj/pQObs3rUoLnwAZTt+jZdf2C/W3DL9mZdEGCNyoLoYxT/zt0FOj0vDTePEi3E3Yu7CdOx84VeY8GXjnhsiIiIiopHyGU1Qr3377W9/i6985StqbJgF67H6P76F6vmqo9aFs7jwN9dhoqwsy9G9q/Gzv6/Gk5nG+EiL+T5Lej4+sB2Hb3oEeV8ATnYcwXVZt+Gqq8I7t8flCzh7YSKu02/kP4vDbWHMyVYtMD07sfJbvfint57EbWp7ERERERENh9/97neYNWuWGhvtp5Yl8HHoCPa3vYvTHb/G4RNn9daGEzuXYdUu+diwMM6eOIxfd5zGu237cSTk/SSt4eH+fZH0fHwA9c/Wo3JxDnJycrDy+PirLohx2x7o/CWWrdmJ0/Ixy/9Wj5d/9Usc6NFnB6bMwT2Lp2MqgxgiIiIiGmFjr0UmxlkcOToet906Vm6lH2vpGX1njx7B+FtvS62HGxARERFRShvTLTJuwidOAl8aO1XmsZaeURc+gZOXb2IQQ0RERERX1JgPZNJuzsFt+g9Wjg1jLT2jLu1m5GTxZn4iIiIiurLGfCBDRERERETkxECGiIiIiIhSDgMZIiIiIiJKOQxkiIiIiIgo5TCQISIiIiKilMNAhoiIiIiIUg4DGSIiIiIiSjkMZIiIiIiIKOWMfCAT2o5lOXnY0BFWE4iIiIiIiIZm5AOZiTdgzuwczPz7NDWBiIiIiIhoaEY+kPmbOXjyxxXI+4IaJyIiIiIiGiLeI0NERERERCmHgQwREREREaUcBjJERERERJRyRj6Q+fNh1P/zWuw8o8aJiIiIiIiGaOQDmQuncbj9CHr7+PhlIiIiIiIaHiMfyAQewdYDe/HkrXz8MhERERERDQ/eI0NERERERCmHgQwREREREaUcBjJERERERJRyRj6QufwxTgdP4sJlNU5ERERERDREIx/IdG5D8feK8cJbF9QEIiIiIiKioRn5QGbGP2LTC5vwZPZENYGIiIiIiGhoRj6QGTcRN2bdjOv+Wo0TERERERENEW/2JyIiIiKilMNAhoiIiIiIUg4DGSIiIiIiSjkMZIiIiIiIKOUwkCEiIiIiopRzBQOZC9izejX2/FGNjjljPX2jLxysxyObTqgxIiIiIqIr54oFMuHDL2PD4cPoPqsmjDFjPX2j7vJp7Nm0HWdD3SLEIyIiIiK6sq5MIBM+gZf+bY8aGYPGevqugAst9aj/QI0QEREREV1hVySQOf3azzBh9TrcL1//x9i7vj/W0zfq/nIYLwf/AdXfvRE43A02UhERERHRlTb6gcyfD2Dbf/wDHs2cgDQ1aUwZ6+m7Ak7+4leYuiQHU/86XU0hIiIiIrqyRjmQCePIT3+Lud+ZI4KEiZh6K3D4tP36/oWO7ahcmYO82iNibiF8EvufXYmVz2/HYbcb7y9/jAsX9DmHwTCn7z/3Y3PtZmxYW4n9/6mmpZr/3INf4tt48Hpg4nU3iAmn0W1dT7n+tavxSM5K7OwxJl04vBmrv7cW9S0njTyySnZ+IiIiIiIXoxvInNyGN/7+UeT8jRwZr//vNDHrbsyb/wju3/tLHPizmJB2I3K++RC+XfoI5vytMY/p5GvrUf/cKjx3+GM1ZYiGNX0iKNrfj7tLV+Cp787Ez17Yk4I3yX+MAz/txt0P3WiMjjP+2Ij1z8u7BzmLgW37T+qTJs65G/c88E94Mv/G2FatZOcnIiIiInIxioHMBexp+jX6Ol5CZWWlGF7Ar34vJjufgnW5G/jst/Df5h/GL94yWkNO/nEAN7jUcG9c8DSeXPA1NTZUw52+kzgycBNkGwam3IDbUvDeknBwG372wWn86nmZH2JoOiICjdgnuZ0V4/c8eA8m/vRXOCKbVP74LgbS9TV3lez8REREREROoxbIhA//DN0PbEL1DytQUSGHdfhennhjQP8/qkeEDV+eiNvyl+PCT9/Aycun8f7lqbhOvT1SRiR9O17GfhkFnXwXh+fPNIKaVCEft/zWdaiorVb5IYZV/4jb9Pf0OZQwTuOzuGHK3Xhozk788sDHCP8+jPGeK5vs/EREREREsUYnkPnLEbz0/0zHt2+1N1tcd8Mc4Ki9xePj3wMTp4gXN87F/diCX712BP1/M8K13BFJ38149OVnkDPxAvb/7H08+p0cUX0fDPH5Z4tRtsPohmXz58Oo/+cybDkRe2dJ+MQWlP3zFri85cvZvS+jP/9+XGftTva3U/Vg7PRZa46cxsdiappYuzl35uDAL97AnlNh3DBRvR0j2fmJiIiIiGKNcCBzFnvWFmPZ4jJsP/Aynmsx+yQZ01c1HBGv9+C57xZju/rB+NPj0nCTrDyPuxFzF6Zj5wu/woQvDy4ESGxk0/fZL0xEX8uvMPDddbj/C2pi0gYwcO40+vrDLjfOf4zT776Psx+5BDLnuvHu+2chPpaU8NHNKC5+AMueP4BfPr/Z6PplTv/ucyI3gCMNq1As3tfDmQtnkXaD0R712Tn3IO/EBmw4d4N361Oy8xMRERERufiMJqjXvv32t7/FV77yFTU2nM7icFsYc7JVtbZnJ1Z+qxf/9NaTuM1sGbh8AWcvTMR15o31wXqs/o9voXr+aFzSTzJ9J3di+1/uxyOZafi44wj6sm67+irsRw/j8M1zMEdvzArjSO18bPnSVtQsiHa2C//xLMITr8NnZR75mJ+IiIiIyOl3v/sdZs2apcZG+6ll8cjH8v5bPV7+1S9xQD2WF1Pm4J7F0zHVDBKkzl9i2ZqdOC1efhw6gv1t7+J0x69x+ISoLBtzjIyk03ca23+4AfXfy0NOTg7m/+ICJqhZrhYXDm/H+oaX8b/3noDx3Lg0fC37Qdz2JWtQcgEHXngEL7WHfc5PRERERJTYGGuR8efs0SMYf+ttGKu3VYz19I26yydw5MTNuC1TjRMRERERJWnstsj4FT6Bk5dvGrtBwlhP3xVw4XAfJtysRoiIiIiIhkHqBTJpNyMna6Ru/h8GYz19V8DE7BzcaO1+R0REREQ0RKkXyBARERER0aceAxkiIiIiIko5DGSIiIiIiCjljNpTy862rMXaHe/i9MkLSLv+Rlx3jXrjUhhptz2KZ1bejxv+Wk0bBWMtPaMufASbv1ePX589idPhibjxhnT1hnjrUjru/udnsPxWPrKAiIiIiMYG51PLRvfxyyc2I29lLyr2ViDHvB/+8kls+VYx9ty1CVtX3gz9dxJHy1hLz6i7gP3//QG8dHMDthfeqKYBH+9fi/mVYTz9i2rcb/7wKBERERHRFXRFH7989oN3EZ4xEzdYH+o1Lh3pU8V7oW71I4mjZ6ylZ9Rd7kZXGzBn2g1qguGzk+UPVB5G91ljnIiIiIhorBnFQCaM0yePIO32m2CrNv/lfbx/HLh53mj/gORYS88V0HMaRzAHM2+ytzudPvku8NcPYu4MNYGIiIiIaIwZxUDmJN5tAXK+ZAkbLp/Fnueew7sLqvHsAtkKMJrGWnpG34Xf/TtOfuFruMESsX18dDMqf5qOp158Erdd3f3qiIiIiCiFjd49Mmd2oriwHpiTo7pyhXHh/bO47jvr8FTeddF7US5/jAt/TsPEiR616ETv+zUc6fnP/di8vRv9f+zFzO9VIO8LanpKCOPwC3lY3XYzcr6u1vcvp0V499/wzKrluNnaHPXHC/j4byfC2gMvInwS+ze9hJd+0Y9Hf7YJD06Rv+S/Gc81deOGBd/GP+XfeJXfZ0REREREo+GK3ez/8VuVmP9cOjbtfRI3m7/yLltA/vsj2DZ9ExqKb8bp19bjfwe7cfrWZ1E9P7Zj18kE7ydj6OkJ40jTHqQXPogbZFD0b2l4vvr+FOqOdhJbFhfj3e/ssq1b+Gg9lj1zGv/UVI28cYex+X/9O7oPp+FbO0Q+qXlinNiP+rd+gQMTfoDt35YPDTiN/fuBvDz7vTdERERERIN1xW72f19UdpE9EzeYQYM07jp8LesGnH75/4hqNXDjgqfx5IKvGe+5SPR+MoaenpM4MqDur5lyA2473I2Uujf+P9/Hkf8U63ujPfRKmzELt/3lMP53+wVg4hys+MG3MXeqetPDWbHi9zx4Dyb+9Fc4EhYT/vguBtIZxBARERHRyBmlQOY0TgeB22690dE96WOcPHEauDljlFsyhik9O17GflHfx8l3cXi+CIqMqSkh3C0CGeTga19SE0yn5fQ0XDfZtSOZi7DIzc/ihil346E5O/HLAx8j/PswxjOOISIiIqIRNDqBzB/fxb93XofbZthvoD/7WiWeOzwHT//fD2JUb60flvTcjEdffgY5Ey9g/8/ex6PfyXG/hyQh8flni1G2Q7YBOfz5MOr/uQxbTshmDrvwiS0o++ctcHnLl5NH9wB5M3GTtUXq4yOoX7cZad+qxZNZfu9sOS3CvxtE6PNZzLkzBwd+8Qb2nArbHiBARERERDTcRjiQOYs9a4tR/FQ9DqMPv3xOvP6uGgqXoTI4C9VN1bh/1G6SH970fPYLE9HX8isMfHfdENZhAAPnTqOvP4yYmCT8MU6/+z7OfuQSyJzrxrvvn4X4WFLCRzfr67tml/hg+0soNddfDMse3wZ8pwGbvpvED4FeOIu0G4yw77Nz7kHeiQ3YcO6GlGqdIiIiIqLUM7q/7O9HsB6r/+Nb0RvQL1/A2QsTcZ35C/PO90davPSc3Intf7kfj2Sm4eOOI+jLuu0qrMBfwJ7VP8PU6ujN/uE/nkV44nX4rGzNOXoYh2+egzl65BPGkdr52PKlraj5FDy+moiIiIhGzxX9Zf9EPg4dwf62d3G649c4fEJUluXEzl9i2ZqdOO31/giKn57T2P7DDaj/Xh5ycnIw/xcXMEH/1FUkfBYn2n6N33a/i/+z/whO/1lOvIADLzyCl9rDuHB4O9Y3vIz/vfcEPtY/kIavZT+I277EIIaIiIiIRtbYa5FxcfboEYy/dez80v5YS8+ou3wCR07cjNsy1TgRERER0Qgb0y0yrsIncPLyTWMnaBhr6bkCLhzuwwTPH5UhIiIiIhp5Yz+QSbsZOVmDex7YiBhr6bkCJmbn4Ebr086IiIiIiEbZ2A9kiIiIiIiIHBjIEBERERFRymEgQ0REREREKYeBDBERERERpRwGMkRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaWckQ9kQtuxLCcPGzrCagIREREREdHQjHwgM/EGzJmdg5l/n6YmEBERERERDc3IBzJ/MwdP/rgCeV9Q40REREREREPEe2SIiIiIiCjlMJAhIiIiIqKUw0CGiIiIiIhSzsgHMn8+jPp/XoudZ9Q4ERERERHREI18IHPhNA63H0FvHx+/TEREREREw2PkA5nAI9h6YC+evJWPXyYiIiIiouHBe2SIiIiIiCjlMJAhIiIiIqKUw0CGiIiIiIhSzsgHMpc/xungSVy4rMaJiIiIiIiGaOQDmc5tKP5eMV5464KaQERERERENDQjH8jM+EdsemETnsyeqCYQERERERENzcgHMuMm4sasm3HdX6txIiIiIiKiIeLN/kRERERElHIYyBARERERUcphIENERERERCmHgQwREREREaUcBjJERERERJRyPqMJ6rVvv/3tb/GVr3xFjflztmUt1u54F6dPXkDa9TfiumvUG5fCSLvtUTyz8n7ccCWfbNazH2t/+DO8e/okLqTdgBuvS1NvhBEedxseXf0k7g+Y0z4NwjjSsBL1b53FyTNhTLzxBqSPU2+JbZZ+91N4pvA2TDSnERERERGNoN/97neYNWuWGhvFQEZ3YjPyVvaiYm8Fcj6rpl0+iS3fKsaeuzZh68qbcWVDhRPYnL8Svc/sRcVdZgKBky8/guI9OdjU9CRu/jTFMsKFltV4oOFraNixHDeqafizCPoWVCL8zC5Uz+fvAxERERHRyHMGMqPatezsB+8iPGMmbojGCMC4dKRPFe+FuvGxmnTF/Gc33v3LjZj5ZWsCgfS/vUG8dxrdf1YTPkW6Tx4G5twEkQNRf3MdrhN/Dp8+a4wTEREREY2yUQxkwjh98gjSbndUiv/yPt4/Dtw87zZc6Wv74e73ceSv5+Km69UEXRjvdx4RCZyL2/5WTfrUOI3TQRHH3HyTvaXszPt4V0x5cHakjYaIiIiIaFSNYiBzEu+2ADlfsoQxl89iz3PP4d0F1Xh2gbzGf2WdPLEHyLYHWmf3VuK5Ew+i+tkH9VaIT5ULJ/Hvndfha1+yhJgfH8HmH76M9B804MmsT1k/OyIiIiIaM0bvHpkzO1FcWA/MyVFdy8K48P5ZXPeddXgq77rIFf8LHdvxbw31ODCjBntLb0Na+CT2P/8CfpH2DXz7O49gjkuryMd/vIC0v504xPtrTmPnd5eh/vIc5Ki+b+G+kzj799/GutI8RO79/+MRbP+fL6H+wE2oee0p3JYWxsmW5/DCa+PxjcJ/wiNzrO1KYZzYUY9/P9eP7gkPoeLbV/oeoOSED29A3upf4+a7bsN1+k39H+P0+8B/W/3M/7+9+w+Nuo7jOP6S0eYyZ+zwx81wZs2KTWE3G1fWhqL5Y6Jo5JCaUuJADCrBFIp+HClmUEmNRI3QLCVzBzr7gatsJF2YJ0wPZIeyG80L5g51B7WLYd+v+7rdnZG76eZ95/MBx77fz/fYPvd9//N57XOfz1fLp/Z+zlRr1p8aAwAA4M6WvEYm4y2Dddxn4XBYo0enNtqM+vfro99c2vjZOj0zo1zl5TM1d1GpLm2v1KaWUi1wjZE5Vs7Oy9M/RrYa9cVx/b1wpiaNcOi+zOEau3ih3Dndv6tH8LDe3btP+7/t0pOzJ+umNj2LNmr/1l/k8nyudUvN/pVr5rwlKo1sU+WmkEoXuDTG7OAIp/Jiw3Tl3t06/tcSzZyULceELA0fvUQL3Ylra9R6UN8Ne1bPL3lCd/9YpboRy1U61rpmA+eOfqiDd72gHZtWaa5xP8rLZ2vRPId+WVutr3MWaPaD3Xc8pZoZUn0/AAAAcOHCBeUZ48hrBu2rZU2Bemn6FOXHb9eb4VTRtHyFdh1V0GpSV7N0zzKVz/fpwE/di8mDbZ3K/6+pjIIKrX/xaRVZpzcleEr1KtOUSda5xVlUovyW3Tp6xmowNGuklk2vkO/AEV3t4Zl2dU68voOR0+1yPGC2Zyq/oEihPyLdF2whrKbjYTmnTk5cu5RdpBJXTL4fflXPp0mlZqZU3w8AAAAkGaQg071o3FVcoMQ5i6iCgZBUmNc7WG41hscP5Mo1Z7kiXx5RsCukpq6JA74+JXTOLxWXqCBpUiV69pTR+0LlOawG4yyifOUWL9Dy9n06YgSc0LmYJo6zLido0gcHA8bPqAK/t6vkkYRIkN5ixn0/KZUVJi3oN+th3KrM8c7eWqZas9tUYwAAAAwdgxNk2k5fXTTuejhxqBo+5NFmn1vr3+xdSB89K+WONw4KHlOFdqvukF8doxL2ORsAEZ3+LSjno5MTB9Oth+V5zyf3hje02OyTKWoEL4fRn4wCPVYh7f7eK3/UkbgTmyV31gZ9vrhQscA+1Y3boMX3WxdSElNgz8ta+X7D9dtTGwHA+/pKeer/Y6anrV6eao/q26zzVJ05ocOapSnxOaYrKv92j3ZmVmprtatnvU+qNbs9NQYAAMBQMsBBJqzDxkB75Ss18qldtZuN42rr9VyVPI0l2rJniyriZjNCGZmabH79zAwKCx3yvl+nkUnPdbmVwt+8bvTnJdX4pHbv5t7+VVep6p0TKtn4lbbMj4s3Ro7JtAb3BY9XyHHgA9Vl5yfNNFkycuXMDsjb6NI71f1f6N95sUmhtpgRaZIYwaK9OaRQpMNqiHPxvIKhkNpTfThPzK+d5ud/22v8PZ92rL12P4zXitXapxX6dNsaFcYtSEq1ZoNdYwAAAAw9g/tk/xsKy3csJvd067/zrV6tXnZeq35aI9e1tTVdEYUjRkDo2WsgoJpXm7VsS8WgPIcmfMyn2HS3NQMTlnd1pc5XN2hN8dUGQ0yRP2PKHWcOzKNq2OtTwdJZcioof6NTruKhNmBPtWZ9eD8AAACQ5LY+2f9/mVvwflyjXXW1ami12sa79dTShzQxfoB7plZVr3nNiRHpUkj++qM63XxCPx8LKHzdlMWtZG6zXKOavbWqbbj2RHun3HMq9VD8t6IiDdq8dId8Rl+iDTXyfOJR5Ywylc1YLX/mEAsxqdasr+8HAAAAbiDNZmT6JnzSr6xi16DMwPRLo1+BQpcKGZz3SPuaAQAAIK2l74xMX8UCCnYlbQmcViLyXRxJiImX9jUDAACA3dgvyGQWqmxaOn9FK1fusqQti+90aV8zAAAA2I39ggwAAACAOx5BBgAAAIDtEGQAAAAA2A5BBgAAAIDtEGQAAAAA2A5BBgAAAIDtEGQAAAAA2E6/gkxWVpY6OjqsMwAAAAAYOGb2MDNIvGFXDNZxn12+fFktLS3q7Oy0WgAAAABgYJghZsKECcrJybFa+hlkAAAAAOB2Yo0MAAAAANshyAAAAACwHYIMAAAAANshyAAAAACwHYIMAAAAAJuR/gXPJ/AOTXGOawAAAABJRU5ErkJggg=="></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>B</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataB = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3
0 1 1
1 0 0
0 1 0
1 1 0
0 0 1
1 1 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2
0 0
0 0
1 1
1 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;5
0 0 1 1 0
1 0 0 1 0
0 0 1 0 1
0 1 0 1 0
0 1 0 0 1
1 1 0 0 1
0 1 1 1 0
0 0 1 1 1
1 0 1 0 1
1 1 0 1 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def B():
    pass

test_all(B)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;<a href="https://atcoder.jp/contests/abc298/submissions/40650569">&#x8A2D;&#x554F;&#x901A;&#x308A;&#x306B;&#x5B9F;&#x88C5;</a>&#x3057;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;&#x300E;&#x56DE;&#x8EE2;&#x300F;&#x3068;&#x3044;&#x3046;&#x51E6;&#x7406;&#x3067;&#x8A00;&#x3048;&#x3070;<code>numpy</code>&#x306B;&#x305D;&#x306E;&#x3082;&#x306E;&#x30BA;&#x30D0;&#x30EA;&#x306E;&#x95A2;&#x6570;&#x304C;&#x3042;&#x3063;&#x305F;&#x306A;&#x3041;&#x3068;&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;&#x6C17;&#x3065;&#x304D;&#x307E;&#x3057;&#x305F;&#x3002;<br>
A, B&#x306E;&#x53D6;&#x308A;&#x3046;&#x308B;&#x5024;&#x306F;<code>0, 1</code>&#x306A;&#x306E;&#x3067;&#x5224;&#x5B9A;&#x3082;&#x30AB;&#x30F3;&#x30BF;&#x30F3;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<py-cell>def B():
    import numpy as np

    N = int(input())
    A = np.array([list(map(int, input().split())) for _ in range(N)])
    B = np.array([list(map(int, input().split())) for _ in range(N)])

    for _ in range(4):
        if np.all(B-A&gt;-1):
            print(&quot;Yes&quot;)
            break
        A = np.rot90(A)
    else:
        print(&quot;No&quot;)</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc298/submissions/40824816">#40824816</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E7%B7%9A%E5%BD%A2%E4%BB%A3%E6%95%B0%28%EF%BC%9F%29%E3%81%A3%E3%81%BD%E3%81%8F%E8%A7%A3%E3%81%8F">&#x7DDA;&#x5F62;&#x4EE3;&#x6570;(&#xFF1F;)&#x3063;&#x307D;&#x304F;&#x89E3;&#x304F;</h3>
<p>&#x6587;&#x7CFB;&#x51FA;&#x8EAB;&#x306A;&#x306E;&#x3067;&#x3053;&#x3053;&#x3089;&#x3078;&#x3093;&#x30B3;&#x30F3;&#x30D7;&#x30EC;&#x30C3;&#x30AF;&#x30B9;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x30B5;&#x30AF;&#x30C3;&#x3068;&#x884C;&#x5217;&#x306E;&#x6F14;&#x7B97;&#x3067;&#x51E6;&#x7406;&#x3067;&#x304D;&#x305F;&#x3089;&#x30AB;&#x30C3;&#x30B3;&#x3044;&#x3044;&#x3067;&#x3059;&#x3088;&#x306D;&#xFF01;<br>
&#x2026;&#x8003;&#x3048;&#x3066;&#x3082;&#x5168;&#x7136;&#x5206;&#x304B;&#x3089;&#x3093;&#x306E;&#x3067;&#x30B0;&#x30B0;&#x3063;&#x3066;&#x4EE5;&#x4E0B;&#x53C2;&#x8003;&#x306B;&#x3057;&#x307E;&#x3057;&#x305F;&#x1F607;</p>
<p><a href="https://math.stackexchange.com/questions/1676441/how-to-rotate-the-positions-of-a-matrix-by-90-degrees">matrices - How to rotate the positions of a matrix by 90 degrees - Mathematics Stack Exchange</a></p>
<p>&#x8EE2;&#x7F6E;&#x3057;&#x3066;&#x884C;&#x3092;&#x9006;&#x9806;&#x306B;&#x3059;&#x308C;&#x3070;90&#x5EA6;&#x56DE;&#x8EE2;&#x306B;&#x306A;&#x308B;&#x306E;&#x304B;&#x3002;&#x306A;&#x3093;&#x304B;&#x3042;&#x3093;&#x307E;&#x308A;&#x884C;&#x5217;&#x306E;&#x6F14;&#x7B97;&#x3063;&#x307D;&#x304F;&#x306F;&#x306A;&#x3044;&#x3067;&#x3059;&#x306D;&#x1F629;</p>
<py-cell>import numpy as np


def B():
    N = int(input())
    A = np.array([list(map(int, input().split())) for _ in range(N)])
    B = np.array([list(map(int, input().split())) for _ in range(N)])
    for _ in range(4):
        if np.all(B-A&gt;-1):
            print(&quot;Yes&quot;)
            break
        A = A.T[::-1]
    else:
        print(&quot;No&quot;)</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc298/submissions/40895995">#40895995</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://kazun-kyopro.hatenablog.com/entry/ABC/298/B">&#x30E6;&#x30FC;&#x30B6;&#x89E3;&#x8AAC;</a>&#x3067;&#x7D39;&#x4ECB;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;&#x901A;&#x308A;&#x3001;&#x300C;&#x8EE2;&#x7F6E;&#x3057;&#x3066;&#x884C;&#x3092;&#x9006;&#x9806;&#x306B;&#x3059;&#x308B;&#x300D;&#x306A;&#x3089;&#x751F;&#x306E;Python&#x3067;&#x3082;&#x77ED;&#x304F;&#x66F8;&#x3051;&#x307E;&#x3059;&#x3002;</p>
<py-cell>A = np.arange(9).reshape(3, -1)
print(A)</py-cell>
<py-cell>print(np.array([a[::-1] for a in zip(*A)]))</py-cell>
<h2 id="C%20-%20Cards%20Query%20Problem"><a href="https://atcoder.jp/contests/abc298/tasks/abc298_c">C - Cards Query Problem</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;5
8
1 1 1
1 2 4
1 1 4
2 4
1 1 4
2 4
3 1
3 2
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 2
1 1 2
1 4
4
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1
5
1 1 1
1 2 1
1 200000 1
2 1
3 200000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 2 200000
1
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x7AF6;&#x30D7;&#x30ED;&#x521D;&#x3081;&#x3066;&#x3082;&#x3046;&#x3059;&#x3050;1&#x5E74;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x304C;&#x3001;&#x76F8;&#x5909;&#x308F;&#x3089;&#x305A;&#x30A2;&#x30DB;&#x307F;&#x305F;&#x3044;&#x306A;&#x30DF;&#x30B9;&#x3068;&#x8A00;&#x3046;&#x304B;&#x3001;&#x81EA;&#x5206;&#x3067;&#x300C;&#x306A;&#x3093;&#x3067;&#xFF01;&#xFF1F;&#x300D;&#x3068;&#x7A81;&#x3063;&#x8FBC;&#x307F;&#x305F;&#x304F;&#x306A;&#x308B;&#x3088;&#x3046;&#x306A;&#x30B3;&#x30FC;&#x30C7;&#x30A3;&#x30F3;&#x30B0;&#x3057;&#x3066;&#x30CF;&#x30DE;&#x3063;&#x3066;&#x3057;&#x307E;&#x3063;&#x3066;&#x307E;&#x3059;&#x2026;<br>
&#x672C;&#x554F;&#x3082;WA, TLE&#x3067;&#x7D42;&#x308F;&#x3063;&#x3066;&#x3057;&#x307E;&#x3063;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x3068;&#x308A;&#x3042;&#x3048;&#x305A;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306B;&#x63D0;&#x51FA;&#x3057;&#x305F;&#x4E2D;&#x3067;&#x4E00;&#x756A;&#x307E;&#x3057;&#x306A;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def C():
    from collections import defaultdict
    from bisect import bisect

    N = int(input())
    Q = int(input())

    box = defaultdict(list)
    card = defaultdict(list)
    for _ in range(Q):
      idx, *args = input().split()
      if idx == &quot;1&quot;:
        i, j = args
        box[j].append(i)
        card[i].append(j)
        #print(box)
        #print(card)
      elif idx == &quot;2&quot;:
        print(*sorted(box[args[0]]))
      elif idx == &quot;3&quot;:
        print(*sorted(set(card[args[0]])))</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc298/submissions/40660450">#40660450</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x307E;&#x305A;&#x30A2;&#x30DB;&#x307F;&#x305F;&#x3044;&#x306A;&#x3068;&#x3053;&#x308D;&#x304B;&#x3089;&#x4FEE;&#x6B63;&#x3057;&#x307E;&#x3057;&#x3087;&#x3046;&#x3002;<br>
&#x4E0A;&#x30B3;&#x30FC;&#x30C9;&#x3067;&#x306F;11&#x884C;&#x76EE;&#x306E;<code>idx, *args = input().split()</code>&#x3067;&#x3059;&#x3002;</p>
<p><strong>&#x306A;&#x3093;&#x3067;&#x6587;&#x5B57;&#x5217;&#x306E;&#x307E;&#x307E;&#x53D7;&#x3051;&#x53D6;&#x3063;&#x3066;&#x3093;&#x306D;&#x3093;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;</strong></p>
<p>&#x7BB1;&#x306E;&#x6570;&#x3001;&#x30AB;&#x30FC;&#x30C9;&#x306E;&#x6570;&#x3068;&#x3082;&#x306B;$\le 2 \times 10^5$&#x306A;&#x306E;&#x3067;&#x6587;&#x5B57;&#x5217;&#x306E;&#x307E;&#x307E;&#x5927;&#x5C0F;&#x6BD4;&#x8F03;&#x3067;&#x304D;&#x308B;&#x308F;&#x3051;&#x304C;&#x3042;&#x308A;&#x307E;&#x305B;&#x3093;&#x3002;<br>
&#x306A;&#x3093;&#x3067;&#x4ECA;&#x66F4;&#x3053;&#x3093;&#x306A;&#x30DF;&#x30B9;&#x3059;&#x308B;&#x304B;&#x306A;&#x2026;</p>
<p>&#x3082;&#x3046;&#x4E00;&#x3064;&#x3001;3&#x756A;&#x76EE;&#x306E;&#x30AF;&#x30A8;&#x30EA;&#x306B;&#x304A;&#x3044;&#x3066;&#x30AB;&#x30FC;&#x30C9;&#x304C;&#x5165;&#x3063;&#x3066;&#x3044;&#x308B;&#x7BB1;&#x306F;&#x91CD;&#x8907;&#x3092;&#x9664;&#x3044;&#x3066;&#x51FA;&#x529B;&#x3059;&#x308B;&#x306E;&#x3067;&#x3001;&#x60C5;&#x5831;&#x3068;&#x3057;&#x3066;&#x4FDD;&#x6301;&#x3059;&#x308B;&#x6642;&#x70B9;&#x3067;&#x30E6;&#x30CB;&#x30FC;&#x30AF;&#x306B;&#x3057;&#x3066;&#x304A;&#x3051;&#x3070;&#x3044;&#x3044;&#x3067;&#x3059;&#x3002;(9&#x884C;&#x76EE;)</p>
<p>&#x4EE5;&#x4E0A;2&#x3064;&#x3092;&#x4FEE;&#x6B63;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def C():
    from collections import defaultdict

    N = int(input())
    Q = int(input())

    box = defaultdict(list)
    card = defaultdict(set)
    for _ in range(Q):
      idx, *args = map(int, input().split())
      if idx == 1:
        i, j = args
        box[j].append(i)
        card[i].add(j)
      elif idx == 2:
        print(*sorted(box[args[0]]))
      elif idx == 3:
        print(*sorted(card[args[0]]))</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc298/submissions/40825330">#40825330</a></p>
<p>&#x7121;&#x4E8B;AC&#x2026;&#x306F;&#x3041;&#x1F629;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Writing%20a%20NumeralD%20-%20Writing%20a%20Numeral"><a href="https://atcoder.jp/contests/abc298/tasks/abc298_d">D - Writing a Numeral</a><a href="https://atcoder.jp/contests/abc298/tasks/abc298_d">D - Writing a Numeral</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3
3
1 2
3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1
12
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3
1 5
2
3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;5
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;11
1 9
1 9
1 8
1 2
1 4
1 4
1 3
1 5
1 3
2
3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;0
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_3">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x3053;&#x308C;&#x306F;&#x7D14;&#x7C8B;&#x306B;&#x5B9F;&#x529B;&#x4E0D;&#x8DB3;&#x3002;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;<a href="https://atcoder.jp/contests/abc298/submissions/40668178">&#x611A;&#x76F4;&#x89E3;</a>&#x306F;&#x5F53;&#x7136;TLE(&amp; RE)&#x3068;&#x306A;&#x3063;&#x305F;&#x306E;&#x3067;<a href="https://atcoder.jp/contests/abc298/editorial/6208">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x3066;&#x3084;&#x308A;&#x76F4;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def D():
    from collections import deque

    M = 998244353

    Q = int(input())
    S = deque(&quot;1&quot;)
    ans = 1
    for _ in range(Q):
      idx, *args = input().split()
      if idx == &quot;1&quot;:
        ans = ans * 10 + int(args[0])
        ans %= M
        S.append(args[0])
      elif idx == &quot;2&quot;:
        sub = int(S.popleft()) * pow(10, len(S), M)
        ans -= sub
        ans %= M
      else:
        print(ans)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc298/submissions/40826483">#40826483</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC297の振り返り(Eとダイクストラ法)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc297"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 297 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data)</py-cell>]]></description><link>https://arakaki.tokyo/abc297/</link><guid isPermaLink="false">644396b673541b0001a74d49</guid><category><![CDATA[競プロ]]></category><category><![CDATA[ダイクストラ法]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sat, 22 Apr 2023 08:14:51 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc297"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 297 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="E%20-%20Kth%20Takoyaki%20Set"><a href="https://atcoder.jp/contests/abc297/tasks/abc297_e">E - Kth Takoyaki Set</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4 6
20 25 30 100
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;50
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 10
2 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;10
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;10 200000
955277671 764071525 871653439 819642859 703677532 515827892 127889502 881462887 330802980 503797872
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;5705443819
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;DP&#x304B;&#x306A;&#x3041;&#xFF5E;&#x3068;&#x8003;&#x3048;&#x305F;&#x308A;&#x3057;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x3046;&#x307E;&#x3044;&#x3053;&#x3068;&#x89E3;&#x6CD5;&#x304C;&#x601D;&#x3044;&#x3064;&#x304B;&#x305A;&#x8A66;&#x5408;&#x7D42;&#x4E86;&#x3002;  </p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;<a href="https://atcoder.jp/contests/abc297/editorial/6167">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x304C;&#x3001;&#x300C;&#x63A2;&#x7D22;&#x65B9;&#x6CD5;&#x300D;&#x3092;&#x4E00;&#x8AAD;&#x3057;&#x3066;&#x3082;&#x3088;&#x304F;&#x7406;&#x89E3;&#x3067;&#x304D;&#x307E;&#x305B;&#x3093;&#x1F607;<br>
&#x305F;&#x3060;&#x3001;&#x6700;&#x5F8C;&#x306B;&#x8A00;&#x53CA;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;&#x300C;&#x4E0A;&#x8A18;&#x306E;&#x63A2;&#x7D22;&#x65B9;&#x6CD5;&#x306F;&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x6CD5;&#x306B;&#x9177;&#x4F3C;&#x300D;&#x3068;&#x3044;&#x3046;&#x90E8;&#x5206;&#x304B;&#x3089;&#x3001;&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x6CD5;&#x3063;&#x3066;&#x3069;&#x3093;&#x306A;&#x3093;&#x3060;&#x3063;&#x3051;&#x306A;&#xFF5E;&#x3068;&#x5B9F;&#x88C5;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<p><code>heapq</code>&#x30E2;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3067;&#x305F;&#x3053;&#x713C;&#x304D;&#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x306B;&#x3088;&#x308B;&#x652F;&#x6255;&#x3044;&#x91D1;&#x984D;&#x3092;&#x6607;&#x9806;&#x306B;&#x63A2;&#x7D22;&#x3057;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;</p>
<py-cell>def E():
    import heapq as hq

    N, K = map(int, input().split())
    *A, = map(int, input().split())

    price = 0
    q = A.copy(); hq.heapify(q)

    while K:
        now = hq.heappop(q)
        if not now &gt; price: continue
        price = now
        for a in A:
            hq.heappush(q, now + a)

        K -= 1

    print(price)

test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc297/submissions/40630180">#40630180</a></p>
<p>AC&#x3057;&#x3066;&#x3057;&#x307E;&#x3063;&#x305F;&#x2026;<br>
&#x3053;&#x3093;&#x306A;&#x30B7;&#x30F3;&#x30D7;&#x30EB;&#x306B;&#x89E3;&#x3051;&#x305F;&#x3068;&#x306A;&#x308B;&#x3068;&#x3001;&#x3069;&#x3053;&#x304B;&#x7A74;&#x304C;&#x306A;&#x3044;&#x304B;&#x4E0D;&#x5B89;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x2026;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E3%83%80%E3%82%A4%E3%82%AF%E3%82%B9%E3%83%88%E3%83%A9%E6%B3%95">&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x6CD5;</h2>
<p>&#x3053;&#x308C;&#x307E;&#x3067;&#x540D;&#x524D;&#x306F;&#x898B;&#x3066;&#x304D;&#x305F;&#x3082;&#x306E;&#x306E;&#x3001;&#x305A;&#x3063;&#x3068;&#x5F8C;&#x56DE;&#x3057;&#x306B;&#x3057;&#x3066;&#x3044;&#x305F;&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x6CD5;&#x3092;&#x3057;&#x3063;&#x304B;&#x308A;&#x7406;&#x89E3;&#x3057;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;<br>
(&#x521D;&#x898B;&#x306F;&#x7D04;9&#x30F6;&#x6708;&#x524D;&#x306E;<a href="https://arakaki.tokyo/abc257/#%E4%BB%96%E3%81%AE%E8%A7%A3%E6%B3%95">ABC257&#x306E;&#x632F;&#x308A;&#x8FD4;&#x308A;</a>&#x3067;&#x3057;&#x305F;&#x3002;&#x5927;&#x5206;&#x5BDD;&#x304B;&#x305B;&#x3066;&#x305F;&#x306A;&#x2026;)</p>
<p>AtCoder&#x3067;&#x306F;<a href="https://atcoder.jp/contests/abc035">ABC035</a>&#x306E;<a href="https://atcoder.jp/contests/abc035/tasks/abc035_d">D - &#x30C8;&#x30EC;&#x30B8;&#x30E3;&#x30FC;&#x30CF;&#x30F3;&#x30C8;</a>&#x304C;&#x6709;&#x540D;&#x306A;&#x3088;&#x3046;&#x3067;&#x3059;&#x3002;  </p>
<p>&#x53C2;&#x7167;&#xFF09;<a href="https://uchidama.hatenablog.com/entry/2021/06/09/013845">AtCoder&#x3067;&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x6CD5;&#x3092;&#x4F7F;&#x3046;&#x6700;&#x521D;&#x306B;&#x51FA;&#x305F;&#x554F;&#x984C;&#xFF01;&#xFF1F;AtCoder Beginner Contest 035 [D - &#x30C8;&#x30EC;&#x30B8;&#x30E3;&#x30FC;&#x30CF;&#x30F3;&#x30C8;]&#x3092;Scipy&#x306E;dijkstra&#x3067;&#x89E3;&#x304F;&#xFF08;&#x6B63;&#x89E3;&#x7387;21.51%&#xFF09; - &#x4EBA;&#x5DE5;&#x77E5;&#x80FD;&#x3068;&#x7AF6;&#x30D7;&#x30ED;&#x3084;&#x3063;&#x3066;&#x304F;&#x30D6;&#x30ED;&#x30B0;</a></p>
<p>&#x30ED;&#x30B8;&#x30C3;&#x30AF;&#x306E;&#x8003;&#x3048;&#x65B9;&#x306F;&#x4EE5;&#x4E0B;&#x306E;&#x52D5;&#x753B;&#x3092;&#x53C2;&#x8003;&#x306B;&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;(&#x3053;&#x3061;&#x3089;&#x3082;&#x3088;&#x304F;&#x7D39;&#x4ECB;&#x3055;&#x308C;&#x3066;&#x3044;&#x305F;&#x306E;&#x3067;&#x6709;&#x540D;&#xFF1F;)<br>
<a href="https://www.youtube.com/watch?v=X1AsMlJdiok">&#x30B0;&#x30E9;&#x30D5;&#x7406;&#x8AD6;&#x2464;(&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x306E;&#x30A2;&#x30EB;&#x30B4;&#x30EA;&#x30BA;&#x30E0;) - YouTube</a></p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x4EE5;&#x4E0B;&#x3001;<a href="https://img.atcoder.jp/abc035/editorial.pdf">&#x89E3;&#x8AAC;</a>&#x3042;&#x308A;&#x304D;&#x3067;&#x5B9F;&#x88C5;&#x3057;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;</p>
<py-cell>test_dataABC035D = [
    {
        &quot;in&quot;:&quot;&quot;&quot;2 2 5
1 3
1 2 2
2 1 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;6
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 2 3
1 3
1 2 2
2 1 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;8 15 120
1 2 6 16 1 3 11 9
1 8 1
7 3 14
8 2 13
3 5 4
5 7 5
6 4 1
6 8 17
7 8 5
1 4 2
4 7 1
6 1 3
3 1 10
2 6 5
2 4 12
5 1 30
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1488
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def ABC035D():
    from collections import defaultdict
    import heapq as hq


    N, M, T = map(int, input().split())
    *A, = map(int, input().split())
    edge = defaultdict(list)
    edge_rev= defaultdict(list)

    for _ in range(M):
        a, b, c = map(int, input().split())
        edge[a].append((b, c))
        edge_rev[b].append((a, c))

    def dijkstra(n, e, start, goal=None):
        # cost = defaultdict(lambda: float(&quot;inf&quot;), {start: 0})
        # 1-indexed
        cost = [float(&apos;inf&apos;)] * (n + 1); cost[start] = 0
        q = [(cost[start], start)]
        fixed = set()
        
        while q:
            _, now = hq.heappop(q)
            if now in fixed: continue
            fixed.add(now)
            if goal and now == goal: break
            for nxt, c in e[now]:
                if nxt in fixed: continue
                cost[nxt] = min(cost[nxt], cost[now] + c)
                hq.heappush(q, (cost[nxt], nxt))
                
        return cost
    
    print(max([
        A[i] * (T - (a + b))
        for i, (a, b) in 
        enumerate(zip(
            dijkstra(N, edge, 1)[1:], 
            dijkstra(N, edge_rev, 1)[1:]
        )) 
        if a + b &lt; T
    ]))</py-cell>
<py-cell>for data in test_dataABC035D:
    test(ABC035D, data)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc035/submissions/40698295">#40698295</a></p>
<p>&#x306A;&#x3093;&#x3068;&#x306A;&#x304F;&#x30C0;&#x30A4;&#x30AF;&#x30B9;&#x30C8;&#x30E9;&#x6CD5;&#x7406;&#x89E3;&#x3067;&#x304D;&#x307E;&#x3057;&#x305F;&#x1F60A;<br>
&#x305F;&#x3060;&#x3001;&#x3053;&#x308C;&#x3092;&#x77E5;&#x3063;&#x3066;&#x3044;&#x305F;&#x304B;&#x3089;&#x3068;&#x8A00;&#x3063;&#x3066;&#x4ECA;&#x56DE;&#x306E;E&#x554F;&#x984C;&#x304C;&#x89E3;&#x3051;&#x305F;&#x304B;&#x3069;&#x3046;&#x304B;&#x2026;</p>
<p>&#x307E;&#x3041;&#x6B66;&#x5668;&#x304C;&#x4E00;&#x3064;&#x5897;&#x3048;&#x305F;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3001;&#x3088;&#x3057;&#xFF01;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
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<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC296の振り返り(A, B, C, D)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc296"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 296 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data)</py-cell>]]></description><link>https://arakaki.tokyo/abc296/</link><guid isPermaLink="false">6431462551aff900014dbaa6</guid><category><![CDATA[競プロ]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sat, 08 Apr 2023 10:52:09 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc296"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 296 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="A%20-%20Alternately"><a href="https://atcoder.jp/contests/abc296/tasks/abc296_a">A - Alternately</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>A</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataA = [
    {
        &quot;in&quot;:&quot;&quot;&quot;6
MFMFMF
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;9
FMFMMFMFM
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1
F
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def A():
    pass

test_all(A)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>N=1&#x306E;&#x30B1;&#x30FC;&#x30B9;&#x3092;&#x898B;&#x3092;&#x3068;&#x3057;&#x3066;WA&#x3057;&#x305F;&#x5F8C;&#x306E;&#x63D0;&#x51FA;&#x304C;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>def A():
    N = int(input())
    S = input()
    if N == 1:
        print(&quot;Yes&quot;)
    else:
        print(&quot;Yes&quot; if len(set(S[0::2])) == 1 and len(set(S[1::2])) == 1 else &quot;No&quot;)</py-cell>
<py-cell>test_all(A)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc296/submissions/40210441">#40210441</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;&#x8003;&#x3048;&#x308B;&#x3068;&#x3001;&#x4E0A;&#x306E;&#x63D0;&#x51FA;&#x3060;&#x3068;&#x4EE5;&#x4E0B;&#x306E;&#x30B1;&#x30FC;&#x30B9;&#x306E;&#x3088;&#x3046;&#x306B;1&#x7A2E;&#x985E;&#x306E;&#x6587;&#x5B57;&#x3060;&#x3051;&#x306E;&#x5834;&#x5408;&#x3067;WA&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x306D;&#x2026;</p>
<p>&#x5236;&#x7D04;&#x306E;&#x300C;$S$&#x306F;<code>M</code>&#x304A;&#x3088;&#x3073;<code>F</code>&#x306E;&#x307F;&#x304B;&#x3089;&#x306A;&#x308B;&#x9577;&#x3055;$N$&#x306E;&#x6587;&#x5B57;&#x5217;&#x300D;&#x3060;&#x3051;&#x3092;&#x8AAD;&#x3080;&#x3068;&#x300C;&#x5FC5;&#x305A;<code>M</code>&#x304A;&#x3088;&#x3073;<code>F</code>&#x304C;&#x542B;&#x307E;&#x308C;&#x308B;&#x300D;&#x304B;&#x306E;&#x3088;&#x3046;&#x306B;&#x601D;&#x308F;&#x308C;&#x307E;&#x3059;&#x304C;&#x3001;&#x305D;&#x308C;&#x3060;&#x3068;N=1&#x306E;&#x30B1;&#x30FC;&#x30B9;&#x304C;&#x77DB;&#x76FE;&#x3057;&#x307E;&#x3059;&#x3002;<br>
&#x3057;&#x305F;&#x304C;&#x3063;&#x3066;S&#x304C;<code>M</code>&#x306E;&#x307F;&#x3001;&#x307E;&#x305F;&#x306F;<code>F</code>&#x306E;&#x307F;&#x306E;&#x5834;&#x5408;&#x306B;&#x3082;&#x5BFE;&#x5FDC;&#x3067;&#x304D;&#x308B;&#x5FC5;&#x8981;&#x304C;&#x3042;&#x308A;&#x307E;&#x3059;&#x3002;</p>
<py-cell>wa_case = {&quot;in&quot;: &apos;&apos;&apos;3\nFFF\n&apos;&apos;&apos;, &quot;out&quot;: &apos;&apos;&apos;No\n&apos;&apos;&apos;}</py-cell>
<py-cell>test(A, wa_case)</py-cell>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x4FEE;&#x6B63;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def A2():
    N = int(input())
    S = input()

    if N == 1:
        print(&quot;Yes&quot;)
    else:
        print(
            &quot;Yes&quot;
            if len(set(S[0::2])) == 1
            and len(set(S[1::2])) == 1
            and len(set(S[:2])) == 2
            else &quot;No&quot;
        )</py-cell>
<py-cell>test(A2, wa_case)</py-cell>
<py-cell>test_all(A2)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc296/submissions/40401849">#40401849</a></p>
<p>&#x30ED;&#x30B8;&#x30C3;&#x30AF;&#x3088;&#x308A;3&#x9805;&#x6F14;&#x7B97;&#x5B50;&#x306E;&#x6539;&#x884C;&#x304C;&#x6C17;&#x6301;&#x3061;&#x60AA;&#x3044;&#x2026;<br>
&#x7D20;&#x76F4;&#x306B;<a href="https://atcoder.jp/contests/abc296/tasks/abc296_a/editorial">&#x89E3;&#x8AAC;</a>&#x306E;&#x3088;&#x3046;&#x306A;&#x7DDA;&#x5F62;&#x63A2;&#x7D22;&#x3057;&#x305F;&#x307B;&#x3046;&#x304C;&#x3088;&#x3055;&#x305D;&#x3046;&#x3067;&#x3059;&#x1F607;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="B%20-%20Chessboard"><a href="https://atcoder.jp/contests/abc296/tasks/abc296_b">B - Chessboard</a></h2>
<p>&#x7565;</p>
<h2 id="C%20-%20Gap%20Existence"><a href="https://atcoder.jp/contests/abc296/tasks/abc296_c">C - Gap Existence</a></h2>
<p>&#x7565;</p>
<h2 id="D%20-%20M%3C%3Dab"><a href="https://atcoder.jp/contests/abc296/tasks/abc296_d">D - M&lt;=ab</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;5 7
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;8
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 5
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;-1
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;100000 10000000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;10000000000
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;<code>21:11</code>&#x306B;C&#x554F;&#x984C;&#x3092;AC&#x3057;&#x305F;&#x5F8C;&#x3001;&#x7D42;&#x4E86;&#x6642;&#x9593;&#x306E;<code>22:40</code>&#x307E;&#x3067;&#x306E;&#x7D04;90&#x5206;&#x9593;&#x306B;6&#x56DE;&#x63D0;&#x51FA;&#x3057;&#x3066;&#x5168;&#x3066;&#x99C4;&#x76EE;&#x3067;&#x3057;&#x305F;&#x2026;<br>
&#x305D;&#x306E;&#x4E2D;&#x3067;&#x4E00;&#x756A;&#x6B63;&#x89E3;&#x306B;&#x8FD1;&#x305D;&#x3046;&#x306A;(5WA)&#x3001;5&#x56DE;&#x76EE;&#x306E;&#x63D0;&#x51FA;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def D():
    import math

    N, M = map(int, input().split())

    if N * N &lt; M:
        print(-1)
        # exit()
        return
    if M <= n: print(m) # exit() return x="float(&quot;inf&quot;)" rootm="int(M" ** (1 2)) for a in range(math.ceil(m n), + 1): b, m="divmod(M," a) if 0: * (b 1)) print(x)< py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc296/submissions/40261549">#40261549</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x4ED6;&#x306E;&#x63D0;&#x51FA;&#x306F;TLE&#x304C;&#x3042;&#x308A;&#x3001;&#x3064;&#x307E;&#x308A;&#x30ED;&#x30B8;&#x30C3;&#x30AF;&#x304C;&#x8AA4;&#x3063;&#x3066;&#x3044;&#x308B;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3059;&#x3002;<br>
&#x305D;&#x308C;&#x3089;&#x306B;&#x6BD4;&#x3079;&#x3066;&#x4E0A;&#x306E;&#x63D0;&#x51FA;&#x3067;&#x306F;5&#x3064;&#x306E;WA&#x306E;&#x539F;&#x56E0;&#x3092;&#x89E3;&#x6D88;&#x3067;&#x304D;&#x308C;&#x3070;AC&#x306E;&#x53EF;&#x80FD;&#x6027;&#x306F;&#x9AD8;&#x305D;&#x3046;&#x3067;&#x3059;&#x3002;</p>
<p>&#x3068;&#x3044;&#x3046;&#x65B9;&#x5411;&#x3067;&#x8003;&#x3048;&#x3066;&#x307F;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x7D50;&#x8AD6;&#x3068;&#x3057;&#x3066;17&#x884C;&#x76EE;&#x306E;<code>range</code>&#x306E;&#x7D42;&#x70B9;&#x3092;<code>rootM + 1</code>&#x304B;&#x3089;<code>rootM + 2</code>&#x306B;&#x4FEE;&#x6B63;&#x3057;&#x305F;&#x3089;AC&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<py-cell>def D():
    import math

    N, M = map(int, input().split())

    if N * N &lt; M:
        print(-1)
        # exit()
        return
    if M <= n: print(m) # exit() return x="float(&quot;inf&quot;)" rootm="int(M" ** (1 2)) for a in range(math.ceil(m n), + 2): b, m="divmod(M," a) if 0: * (b 1)) print(x)< py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc296/submissions/40404533">#40404533</a></p>
<p>$a \le b$&#x3068;&#x3044;&#x3046;&#x6761;&#x4EF6;&#x3092;&#x4EEE;&#x5B9A;&#x3057;&#x305F;&#x3089;$a \le \lfloor\sqrt{M}\rfloor$&#x306E;&#x7BC4;&#x56F2;&#x3067;&#x63A2;&#x7D22;&#x3057;&#x305F;&#x3089;&#x3044;&#x3044;&#x3093;&#x3058;&#x3083;&#x306D;&#xFF1F;&#x3068;&#x3044;&#x3046;&#x8003;&#x3048;&#x3060;&#x3063;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x7B54;&#x3048;&#x304C;$a = b = \lceil\sqrt{M}\rceil$&#x306B;&#x306A;&#x308B;&#x53EF;&#x80FD;&#x6027;&#x3082;&#x3042;&#x308B;&#x306E;&#x3067;$a \le \lceil\sqrt{M}\rceil$&#x3068;&#x3059;&#x308B;&#x5FC5;&#x8981;&#x304C;&#x3042;&#x3063;&#x305F;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3059;&#x306D;&#x2026;&#x1F914;<br>
&#x3053;&#x3053;&#x3089;&#x3078;&#x3093;&#x306F;<a href="https://atcoder.jp/contests/abc296/editorial/6115">&#x89E3;&#x8AAC;</a>&#x3082;&#x53C2;&#x7167;&#x3067;&#x3059;&#x3002;</p>
<p>&#x6B63;&#x76F4;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306B;&#x305D;&#x3053;&#x307E;&#x3067;&#x53B3;&#x5BC6;&#x306B;&#x8003;&#x5BDF;&#x3067;&#x304D;&#x308B;&#x81EA;&#x4FE1;&#x304C;&#x306A;&#x3044;&#x3067;&#x3059;&#x304C;&#x3001;$O(\sqrt{M})$&#x306E;&#x6642;&#x70B9;&#x3067;&#x304B;&#x306A;&#x308A;&#x9AD8;&#x901F;&#x306A;&#x306F;&#x305A;&#x306A;&#x306E;&#x3067;&#x3001;&#x63A2;&#x7D22;&#x7BC4;&#x56F2;&#x306B;&#x4F59;&#x88D5;&#x3092;&#x6301;&#x305F;&#x305B;&#x3066;&#x304A;&#x304F;&#x3068;&#x3044;&#x3046;&#x306E;&#x304C;&#x5B9F;&#x969B;&#x7684;&#x306A;&#x6559;&#x8A13;&#x3067;&#x3057;&#x3087;&#x3046;&#x3002;</p>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A2">&#x632F;&#x308A;&#x8FD4;&#x308A;2</h3>
<p>&#x4E0A;&#x306B;&#x6C17;&#x4ED8;&#x304B;&#x305A;&#x3001;<a href="https://atcoder.jp/contests/abc296/submissions/40264977">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x7D42;&#x4E86;6&#x79D2;&#x524D;&#x306E;&#x63D0;&#x51FA;</a>&#x3082;WA&#x3068;&#x306A;&#x3063;&#x3066;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x5B9F;&#x306F;&#x305D;&#x306E;&#x63D0;&#x51FA;&#x3067;&#x30C7;&#x30D0;&#x30C3;&#x30B0;&#x7528;&#x306E;<code>print</code>&#x6587;&#x3092;&#x6D88;&#x305B;&#x3070;AC&#x3057;&#x3066;&#x3044;&#x305F;&#x3068;&#x3044;&#x3046;&#x306D;&#x3002;<br>
&#x3053;&#x308C;&#x3067;AC&#x3067;&#x304D;&#x3066;&#x305F;&#x3089;&#x3081;&#x3063;&#x3061;&#x3083;&#x30B9;&#x30C3;&#x30AD;&#x30EA;&#x3057;&#x3066;&#x305F;&#x3060;&#x308D;&#x30FC;&#x306A;&#x3041;&#xFF5E;&#x1F629;&#x1F629;&#x1F629;&#x1F629;&#x1F629;&#x1F629;&#x1F629;&#x1F629;&#x1F629;</p>
<py-cell>def D():
    import math

    N, M = map(int, input().split())

    if N * N &lt; M:
        print(-1)
        # exit()
        return
    if M <= n: print(m) # exit() return x="float(&quot;inf&quot;)" rootm="int(M" ** (1 2)) for a in range(math.ceil(m n), n + 1): b, m="divmod(M," a) if 0:> (b + 1):
            break
        X = min(X, a * (b + 1))

    print(X)</=></py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc296/submissions/40404855">#40404855</a></p>
<p>&#x3053;&#x308C;&#x3082;&#x8003;&#x3048;&#x65B9;&#x306F;&#x540C;&#x3058;&#x3067;&#x3001;23&#x884C;&#x76EE;&#x3067;$a \le b$&#x306E;&#x6761;&#x4EF6;&#x3092;&#x660E;&#x793A;&#x7684;&#x306B;&#x5224;&#x5B9A;&#x3059;&#x308B;&#x3088;&#x3046;&#x306B;&#x3057;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;<br>
&#x4E0A;&#x3067;&#x300C;&#x53B3;&#x5BC6;&#x306B;&#x8003;&#x5BDF;&#x3059;&#x308B;&#x81EA;&#x4FE1;&#x304C;&#x306A;&#x3044;&#x300D;&#x3068;&#x66F8;&#x3044;&#x305F;&#x8A33;&#x3067;&#x3059;&#x304C;&#x3001;&#x9593;&#x63A5;&#x7684;&#x306A;&#x5224;&#x5B9A;($a \le \lfloor\sqrt{M}\rfloor$ &#x306A;&#x306E;&#x304B; $a \le \lceil\sqrt{M}\rceil$ &#x306A;&#x306E;&#x304B;)&#x3067;&#x306F;&#x306A;&#x304F;&#x3082;&#x3063;&#x3068;&#x76F4;&#x63A5;&#x7684;&#x306A;&#x5224;&#x5B9A;($a \le b$)&#x3092;&#x51E6;&#x7406;&#x306B;&#x7D44;&#x307F;&#x8FBC;&#x3080;&#x3088;&#x3046;&#x306A;&#x5B9F;&#x88C5;&#x304C;&#x6700;&#x521D;&#x304B;&#x3089;&#x3067;&#x304D;&#x308C;&#x3070;&#x3088;&#x304B;&#x3063;&#x305F;&#x308F;&#x3051;&#x3067;&#x3059;&#x306A;&#x3002;&#x306F;&#x3044;&#x3002;</p>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html--></=></py-cell></=></py-cell>]]></content:encoded></item><item><title><![CDATA[ABC295の振り返り(A, B, C, D, E)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc295"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 295 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data)</py-cell>]]></description><link>https://arakaki.tokyo/abc295/</link><guid isPermaLink="false">64290133dcc6a30001d2674b</guid><category><![CDATA[競プロ]]></category><category><![CDATA[MOD]]></category><category><![CDATA[宿題]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 02 Apr 2023 04:32:32 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc295"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 295 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="A%20-%20Probably%20English"><a href="https://atcoder.jp/contests/abc295/tasks/abc295_a">A - Probably English</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>A</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataA = [
    {
        &quot;in&quot;:&quot;&quot;&quot;10
in that case you should print yes and not no
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;Yes
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;10
in diesem fall sollten sie no und nicht yes ausgeben
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;No
&quot;&quot;&quot;
    }
]</py-cell>
<py-cell>def A():
    pass

test_all(A)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc295/editorial/6063">&#x30E6;&#x30FC;&#x30B6;&#x89E3;&#x8AAC;</a>&#x3067;<code>set</code>&#x3092;&#x4F7F;&#x3063;&#x305F;&#x89E3;&#x6CD5;&#x304C;&#x7D39;&#x4ECB;&#x3055;&#x308C;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;<br>
&#x601D;&#x3044;&#x3064;&#x304B;&#x306A;&#x304B;&#x3063;&#x305F;&#x306E;&#x3067;&#x30E1;&#x30E2;&#x3002;</p>
<py-cell>def A():
    input()
    print(&quot;No&quot; if len(set(input().split()) &amp; set([&quot;and&quot;, &quot;not&quot;, &quot;that&quot;, &quot;the&quot;, &quot;you&quot;])) == 0 else &quot;Yes&quot;)</py-cell>
<py-cell>test_all(A)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc295/submissions/40197335">#40197335</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="B%20-%20Bombs"><a href="https://atcoder.jp/contests/abc295/tasks/abc295_b">B - Bombs</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>B</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataB = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4 4
.1.#
###.
.#2.
#.##
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;...#
#...
....
#...
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 5
..#.#
###.#
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;..#.#
###.#
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 3
11#
###
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;...
..#
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;4 6
#.#3#.
###.#.
##.###
#1..#.
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;......
#.....
#....#
....#.
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def B():
    pass

test_all(B)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
&#x306A;&#x3093;&#x3067;&#x3059;&#x304C;&#x3001;&#x6642;&#x9593;&#x639B;&#x304B;&#x3063;&#x305F;&#x2026;&#x3002;&#x5B9F;&#x88C5;&#x529B;&#x2026;&#x1F607;</p>
<py-cell>def B():
    from copy import deepcopy
    from itertools import product
    from string import digits

    R, C = map(int, input().split())
    B = [list(input()) for _ in range(R)]


    def get_points(p, dist):
        px, py = p
        ret = set()
        for x in range(dist + 1):
            for y in range(dist + 1 - x):
                ret.add((px + x, py + y))
                ret.add((px - x, py + y))
                ret.add((px + x, py - y))
                ret.add((px - x, py - y))

        return ret


    ans = deepcopy(B)
    for i, j in product(range(R), range(C)):
        if B[i][j] in digits:
            for x, y in get_points((i, j), int(B[i][j])):
                if 0 <= 0 x < r and c: ans[x][y]="." for a in ans: print(*a, sep )< py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc295/submissions/40037758">#40037758</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B_2">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc295/editorial/6053">&#x539F;&#x6848;&#x8005;&#x306E;&#x5B9F;&#x88C5;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;<br>
$O(R^2C^2)$&#x3067;&#x3082;&#x3044;&#x3044;&#x3068;&#x306E;&#x3053;&#x3068;&#x3002;</p>
<p>&#x8003;&#x3048;&#x308B;&#x91CF;&#x3068;&#x30B3;&#x30FC;&#x30C7;&#x30A3;&#x30F3;&#x30B0;&#x91CF;&#x3092;&#x5927;&#x5206;&#x6E1B;&#x3089;&#x305B;&#x308B;&#x306A;&#x2026;</p>
<py-cell>def B():
    from itertools import product

    R, C = map(int, input().split())
    B = [list(input()) for _ in range(R)]

    for r in range(R):
        for c in range(C):
            ans = B[r][c]
            for r2, c2 in product(range(R), range(C)):
                if B[r2][c2].isdecimal() and abs(r -r2) + abs(c - c2) <= int(b[r2][c2]): ans="." break print(ans, end ) print()< py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc295/submissions/40198440">#40198440</a></p>
<h2 id="C%20-%20Socks"><a href="https://atcoder.jp/contests/abc295/tasks/abc295_c">C - Socks</a></h2>
<p>B&#x3088;&#x308A;&#x7C21;&#x5358;&#x306A;&#x306E;&#x3067;&#x7701;&#x7565;&#x3002;</p>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc295/submissions/40040530">#40040530</a></p>
<h2 id="D%20-%20Three%20Days%20Ago"><a href="https://atcoder.jp/contests/abc295/tasks/abc295_d">D - Three Days Ago</a></h2>
<p><img alt 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6MHQB6+Nl5e/y4GFM7txpiXNqBw0HLt1z+lB4/M1TY8dhtQy3JafrT+X+sBcyC67oAM/Pi6/ZjyCjlzgHqXV3dDPPMeALAQOLBNewM0D/YLy9v0gNgyKUKZZa4SmqV5bBuRfQ8TASj3k+AeExXg8032pUtphrozVNy7k8bWf4N2b0i4Q14fgHBPXiDgBTt5auN7aPZnqHBClCff3L6hVweJJfmAAtl3Q9LdoB/C+yD5YAaxXb4nj9PC97ZU03eZvx4LB7b+Pi7GYhFM6ZcS70Psgzcrs9R2oTQPgYdIj3ygAgfjJVFiCftnAAB430oMZib6H6ErmX4jsPgDejvfQMv++Hf0vAz9Q28AKQYqZzdM0l3eUXG28vP0C2LZX/jjf0309K/Td/XA5t1th+gfHBXz9RFYdRbmJ+lnBnhZMf2z0/Qn/X8mP1N40Mrf+Xx4YOraZgx5FkQPRlqcN/by0dJhKsQMEPnpVP6RVDG45bMf7pt0eYAzStnjLY7BpvlkJGvio5VO6uivOtvCT1fSsy18ZkAOymWAovMaOsuzhDLWd+UjZY0zS+nMTxtgf3Xk12XQ8gkjQHW3DeZqAz9Ld8t1/w79NP0WnT0SBD6udQeKdOB4lkZT3YCsBlJd3qN3Q4Ncfjqdm32mxnf5JBVEmc0pfBB1PEj5mPZnkUfus9T9cGgIWgV15k7lt9JDMuavbUT3PdrKTj/45DM0sl+kqkdl8shOGl62yw9kJo+MWAG+HtDLAxDm08vUxGdY2vYHfYaDYq+fT1wiyj4s0qeX7aYe+YAC9d1wP2tsj7k5P3TQJKwoAiWvHRYPeg+liN9nxSmeGI4/K1QxCGmk7PICnfQfS91LGde6TpmBh9mGxMQPR6i4HQ7YslSQT6rjes6K1uTqNyqgleudpycFAgBAbYkJZtRZEh5MBIPBn6VF4ofcuwyIznyT/gfpS0P4CCsPVP7YCjYclvyzXyXaukkfRecj7aQvD4rBgyA5iPUuVdEqbZMvG7uof07FADQnBn/egIQDB/WYz/DfZuBLg9xHd63LjIwBlRsHNHmi7fbRc/1YZtdkPf1I4UGAuqQm2J53tNJNBSgqn6PrC9Ti/cBHBtF8GYcYHlR1eUrjvLQBxoNVDja8oIXFto24NhDDte6QNEegNXlWY323GnhyoJjPGJfjicGuPrNW6VHIHh78Uejys7hLfuJNvV5IfTZFtoed8UfuOUhXRDp0W1myTLQyvlxKKA6op215fSe/VT8KOXI55PzsH9z7Hhd1SVR3pbNqpskR2jfeSK0fnqDTb5wWU4EOv0V0l/5YCp2paqTOo3wGRO0nvCfRmUFk8IhlUW5LRbkdDIJdPmjiPXLd3te4ceAcE2iIwf8SDoBIHazgS1a9OpGXp4baEB+YidlPcCAcdymZPDsdBCpxGtfpx9fHrss8cMLBxiBlzMdJ84Eb44x07BnGxa1GYBgT5In9WklfVpsXy1TTjwAA4Bah750JkTfeGk8aCp4qZD6ByLuZW93UG1qeb9qVN/UG88ybfvlGYXu+OS+4CdyaLyfernubf6nTrxg30lpPz/FvJpU360ZvlA1uYNU33Dpvhk6Dbyb2vl/hplz7gQUybdFtV7pBN/y5vplZ35Rsf0/emJvmZmnDvLQBaz5PwYMdosunagPeTeMx6w7jcqlwo7OLffOz8b5Svagb8GPK215vJbI+q7zBO24bcl18E7bR1oy2GM5X0B/kje1GXmTZz0fbiNn3RHFaqqnDifKLnw9uOPenr53UTzdTog8/UG3FWz58E7pIQz+XqbGvkVTa5PKivNL0MVmekfULfv24b5KPJdub1UbkvOg+JURvr1K5yn1HpXVJQZvxWfs6XldS3lTZxLX3oKyr3ZcBAMCt4Tb+n45rfLfG3xLhI4LB307ho6r+deve34jQb+URd8ffEnGyv5sapyf5Mh3/b5fwUfK4v+XAlzmZZ3Ei6eHv2pc/8aUy7svJQuUS4f3tHP1WuHX+zoyrnAwx9az+NonXUqLlE2bWeXwdMO+ep+QzfoZKbdbVxu2/JxOHl/X/9k64nII2GvZe/J2ZxDqcVT8V65N/m0r9LR613nC9BfVvzve+t5ZOyvpW7WLt6/rv4JDqs9GyM9LvTK9qP+rvzlTef8ib6o1L7sJtVUhdJla5zqosTXY9JfeFgP7enLcPAAC3Mmcw87d//Tc19Vfe2W1/7+/RP/hH6llZsHDQNsBlIdsF6g8AAADiOO+Zuf2OOjmAqBWcVk4zLDy0DXBZqHaB+gMAAIAkzjMzAAAAAAAAN7vaOcQOAAAAAABgQDADAAAAAAA1CcEMAAAAAADUJAQzAAAAAABQkxDMAAAAAABATUIwAwAAAAAANQnBzKzwX/weoSn5F7r7xDsxZ6CDRi6rv7rdd0YtlcRbHt4bKP85ONNHTQPc6i2XR6jDNb8G1GJ74H1Nx5Ep/U7jOpD7JgB4b+hxwc2wP3y3RIeezlFu62fpsw/toOHvTOsPkhUHmhLHMWnHOQA3yk0TzDh/mEN4B9FETU3G9J79aDdSdnmBTvqDnyIVLmRp7WKiiYtEmQY9+6bnBWUL5IbtzLltzN9glNtiqJ3JKbz+yu01pVocfK7cQl0XcvLHLFRWG3ppbChnlFnwgxj+cRTtzljGn+atHOa3PdhSBz7OoG8WadP9aG4Bl2P/abXpW0JcoB2n2uWrMJv6mrf9ygJa+MB/YftvJe79f3QKD+bN39J6Wru+RIXJtZS9UJAHOwOufiim0L4vKf/V/GbP0NhAH93xaJ7yQy/RC0820KFHc5T/c/2xh/uAlZ7cENHw9vC8II1FOnA8S1tWyjcS799Dyzapg7wBzpM9z02uy++TMb8VPFUoh/TtNEV7432wtf2bqZ9WCj5nb4HHiPO4/oQ/mskV3EK9p/Rbh7b949RpNGiJK50HNfqttDVP4+2N+o0b70B6qJv6N9brOSl421rTRaMDrWIXYuJOUKDseKcIPeYXp7WlJ5RDqW1/nmh7job1e8ZltOWSe/moZuo62k+tIijypS1Px3LN3aMVypMbUom2WGXH+TuwtD9atwJ3Gt7RsYrr5zQdzFC/mVaet4uo264vVz59jnIJ4bbaQ7TTvUxcfUWZ23GtMygvMtpr6vXH1ZtdRnOUOj3OfpNSqB65rA5QZkD3NfHj2HFpS6htcLsprLP2F/wjeiKryiTSLubSf+e7PXBawv3a5twXOtLB247fz3nbMdohl1E+Q13LC0QPb6PSQaLOdQVq2m6mhpcXn22w09hG+cTy09tztYNZ90erLfh5cnOXm+DafqT/VK4XxSuH6pZfMpd+LbdVfftNbh922Zqi23P2OU9i/bL4tsODxNLDcfWvmX27asn9tzq8ruRxjMf7PeM6iPv980SWsfdf/F7s17uXDbrXZS/P/P0mhfPPZRnq77aYupou0M69d1D3k81UJ2ecp/zGzbR/Q55OPWYsbe+Hzd+jSD2qPkTcbxuCPEyE2oSrnYrveWONUNtz70u47Q4u4/qYcI5RTOn353FtenbtzduucxyUuv2nb5+x+0oheb9RoYySxgGp86G4thNJ92zbcyUczFTnbHnPqlXl9pEr+n3gbP+q8qpV7eXDb5fLV0bay3veVPP5tTc/jlqGv29M/Wf1p7Pw9uFyu/6+c91zXb+g8musx9imvX2vLOJdKR/+UriM5lKe/N3K2xR1+aXDYss2ruM94v/JzHINbevNPf58cwql37ndsLh8+uVecYqWXTy7/F1lEJQXr9PVB3xcBnF55LbhTK85VS7/qshtzvM6WVJeZP7V/iL8mS5nLiO/D1pt0eo/4e/rSX9+Y9qDkuq7Me0/Mun8BunfUz4cWT+XXzQdzNkGudzi2t0cqXpwp8XjTJODzLNf92GqPKJ1lWb74TaVwmyWn1O/rlx+ke/46XPtkwwibaGyn01bkG03OY1n+yvUgRDUG/cjKz96iu9H7u9U7HdVkOUcU+9e2uP2K1zGQf40Y3+Viqvd+fXn3veo+VXswy+9WH501b3lnsJVPUOXq2O7q/oPx9aTN3lti/PePnI2lMZoWVnp9MpHti/jM9lnkvJk/S5UIU07Vea/vc2t/avyjN+Pun5T7alSO9HpcpSt7BvOdRpT5Hs6TXK+2U7jt6M+q5TO9KoLZhIaniwAo5NwZUQ6e0KjVB0k7tOAu6AdafJ3DAtBVdCeN3Vl6B2TTJuXx8j2daVG0q4mO61zK0/eltmRw43GXYZq8rYRrY/wOtLgdcR1WDt/YbqsYj9n8T/skbKSqit/tdM1lpFlHexYo+VjMOuGX+u24SwL3XbSiv5ouPJqiy+rOdP5U8R2zNdG+3TWSSjv4eWr77/xeZyX9iCpH3B/OaPeZHs20+8z8lWhrt1tKtoX5LaMtKrBJ+ffnMdTuj5fMUBwpMGNl0u3rri6lek0tlPdfk+osj9VtXyV/bq69qu424DH6iMRXLZmH0hTHwG77OOE86zbnZWu9ANJl7TpTm7zsVL0Q2edGiLLVNnu7P24rHO/zcTk/01uf8F3gu3H9KlrZ8uDjz9WHixe0+9Plp8V33v0pQn13mOmPbQ/F2LyldxOHeR69zjbb3J5u+qYp5j2wemttExE2vamyjmcDjE5ymcu7d8sW1U2vN1K7TrNMhrXhUh3pTbO0uVDlUuwPq6zcFqc7aXa9lzBLM7MOMjCqbwTTSqYSp3D6/zOZbgBW50kuYPMhZk3swGpH5rDOo/pth9TaXMuT7sxmek02Dsufu+Xo70Olb/4Gopyps/YpvPz0M7ImxxpF5xtJpSHSmLKX+D25s/31xmUQVJ7tfOl3seUX6r8qnTyZ9E2xfWUvGNyD+ZnK0iL3InL+owe1WsfORzKrzMNIu9BGYbLZzb9dyHbg59vv78Y5eCVhY8/8+rQyBfXtbec+ZoZ/SJMrWuPXX46X97+xiPbmvyRSJNn1Xbi2rFURX+06zCC05w0wJCfm+vmvEeXN/uXPSh0TWb+ql3eVE2/nk37ZUn7lTRt2d7ubNORhNcZlJerPs32PxvuevfJdsLbdmxDttekbXObT06bX2b+dsxJfTdSrnZ/TsRpCPLH65J1Ltah6t6Rf50Wf5tW2tLUsay3fyHS/9d6hsdMuyvPdr54GTlP5EP8G7QHTjOn3fE9O/0mP9+My0Z936+DyH5ObEP85kT7gVm3FdpQSKVlvTS5lwmNFSReX3Ibiye2Ferj+r1ZRlxfuoySpnCaFOf+z65fX7p8yPq36zqyn7LyZbcH/d5LU5r2bJuXYMbvjD6zUQV4ubhERtdRHfcPjX6zIGI6gGx04VOwLqpRuZeZbXkm/1A7GmVoJ8LCDY7XF2psusG6thOtV6vxeoz1hHEeY9IpG7qrU0U7WyjNCZLK3+9YXjr9cgryFNte+buufEd4+TW2439XfZa6P/DOzVmmLKYe5srbZqg+xbbM18Z2XfUSKkOr3GbXfxeoPQj2ejjt7navBMsb5WDUU7Tvxm3byxO3CV6G34u0+mWlP9dt1l+n/d4mP08qY94el4mj38nvxsx3tjWdZrk+16TWFe1TnIboduyyC0nsCw5pl4/Nm0GXuTuPqi4S0y5Ey8CQJg1WfhLXVzWvHh11HxLu+9Xj7cym/yuJfV6UT6Xy8OsoUt66r/Erux4rrNesB37ttQfm931/HXb+7X6Qth4MEyIvDzxRfsU6KSOlKBOf3cZF+ZzVZXFlZI/aP8lAQ6Q51K/cfVlybN8vX/GZ/TtjlmWIsQzjdpAuX3NrbzJvoXYy+/Yfm7dUkstY1leoThTZHo35Xvt0T7z+oB84y86rsxDzO3Y6+TNv3bOX8DQzvjEp3dMgJi6OUWapcfvQmQINb81GbuDh5d4TfMPZPD6xhm9Oa2rim7bGqHeD9XSLlVnK9OSol9TTzYLlw5O6iT78fZ74iRTVlyfXlbphbnx8nPJb1U1X/FpNeWqjYcqJ9ZtP4CieGA5vx9K4ro1Kl/TykyWiC4Myjd52zPXT9vDTNKaODFJp/drYm/bCvJtXeV2OG78Wt1J3d4kGI08PqafWnRka1E/D4JvPcpSP3CRXbfkXD/ZShsuPb7Tm+dtLlL0nXU64nMaWZyrkm+tL3UQ5frSLmvVcud0c34jXSJ2iTDM9B0TJpNCQ8dcRcblEpYrpmQd8Ux/fXC2fZpb01BrOu/o80s7jpO6/C9MeOG/c5tV6VF9rubiNRrubg/5hCfWdiCk6edx86mGRCkMZyiTefCraxP4MFV4nah0Q7SZXohaZRt4Pib6tb6j1n0C0oUTbRH9y3jDKdSWXHxPrc6Vxtv1RMNsa15tMI99cq9s632zq7ze8SW3jpv4dSdOvRbn0y/yMUtcavok1nE+ui/p7slQ6McvfosWijeiXkqtfiN+ftgsl2f5Z/dLQNwL83aqeIsRtQtdjlTfncj9cmCctuS1ZFrs3pKlLpXT7nHnGTzlVvyFFOtCTkW0je0L11Zx+Emqc4sAgZY7qMpd9qoVKOW5jYt+e5mld74q6e2qMHti/m+5PeNKqa7/oT14789r4/jZ543t+eYEKIm+832npEWMEdqFX7JscD9pYk6El+mVaPEZpWydyzvucZWr8wfveuBvdyWv7opwGL4h2cHFCzn4vVdP+U/8mCtH6EmUu2sSgvU/wbuLnenPcyF+/sZu6xNjOG+vXb+xXy/L+mh9uwq/9iduhflqfzNMElU6Ff7v8Ogvh5dSrObfnGPHBzJkDVFjfnerpDvbOw52ZKSqJxuX/gMtMBBWR7mkUcZIHA8WD4of54WglzlZj+7gcyPgBg6501cGWUGYNUbMxkOflww3CFXCoiX/wqi3PqSM9oq70EzVkJ+4KPTZRDQpUowx2AlxmbZR1DXY8Kzv95TkNJNpDeB0eHmiZgze1w96ml+PO7Hc45xN0ePCuGrfZQc0dQOyPMu9c9cCu5XiWRh2dtdry5+XlIFDkn+uZtm5L/5STpMDCI/uWHhzzAEXsgIuRgbdqR2nIICjSPgzG4GYh8Y+bGsjpGYlStD+tqv67AO0h1A8GWmTdVXy6i2gHdPxkTLmLHbtxsEOK/aHnZfVnRjqYKu9omhPrQD5JhtRAW/RZtzn0R7Ot+YN79ZQgWY87459KNKvfEdGOQo9u5afkJLb3apfX0vRrn1FnNt3f/e1V9TsY/pMAsf3+VEmkQOHBu0ulurDxwSnaX93TnpToY3xdQr8RMkDXH1RN/fYk7VfiDzLMzVjcwFn+Jnv9Pehbje2qn7bJA1jxGtu9chdtd4Oot6N6v5TG9Uka6RmmzNNeICPeHwkPdr0AT+4XeZ8QGsDygVARmPv7u+BglLcf2yLSp5btJtrFTzHT3w3tI0W+Y56Yxf3cPYDnP3nhjWW4XnXfGLIfd61xwLO+oA7ycDmtF/uoZe696vy1N4HHV7EHOtK1f09SIG7i/XL0oLKYchkas8tH/G6oujD3feYBx3rKLNcvTXwAO6b8eP+v+pE9Ton5XeeDqvo3bk7tOUFsMBPfwKI4Y8Pe0SbxY5mzB9MCD7h7l3uDwiATfiWITjTW06IKuqqzKOood6l7i9xBeJYsEzutSf0m9gikxj8oVR6lOtATHFk1f1RUPrsoe7wn5TPOo6otzyCa1+Ua+pES5ZMvUZc1GOQfp8hRz4ROyTu6aBATMH80iwN81kFH3iL9fCTFr2cO/PTfIokcreCdvhjQq2X5bE9wZjC+PXL+xIBkTTM1n+qlAymPgKTCaeejaP5OOX6H7OPBylBwlCMVke4cl5G58798kgpxAyKPHgi5zj74Fq8VPzfm30RyqLr9u6n+q88UWEfmeCetzhqIz/n4sqv9GW2vqv4bsoDtgXfUoi92J/QDH7cDY1AZIvpZ5KxlwrJxfdLfX0Ym94+z/AHPZ2jUOLIeOwBj1fbHpDyLeildEJ/L/b9b9b8jvO/no3x638ITD8ZEvauzVvY+ptrlDbPp1xVV/zvYuC5DvQfFfK4bR/nYgwv3kV4ecCTXha26v58m0iCGuX47OFVh/8P7WT7w4JWBmPJbg7OksXViUQNU47fHgc+MxR9kcDDaRuKgl4PdmKA4OOMexgdGepcb+27rYEUE7ze60x1g9kx+cx+dbmylhu+fptNviOn4YTp//S79qRKqWz6Ax2dA5O8BD36No+iSGairej7gH/Dw9v36fZrfFG7HMQe1SpeWyN9b/jMITf6ZYp7ELxqv39E//LMKHFgdjxkzzFN7k/i3c7s9vqqy/RvkPjBfqdxUwOAdLA7hwMXYv5vUAQmd5/1EOb9+qt8fBDgQGtZnabhNR8ficr+7y9EHZtGeE+nLzaL4urcqrvtT15w7rnvzrrG0rym0lvOvkRTUuipdw8jrUNt0XWMYvvbQuybPmsw0Oa/zSxKs09uOvNbQWyfnO6H8Eq/rFaoqT2+emOx1yvVE8mWUP39Xf14pTW4Vrne0y9V/z9+z6tgqM68OZR7ssvTzHF6HKrfK179WyqtaT0yehHD7snAeHXURCNquK62yHcV8X6XLm+LTF6LLKrFuq2n/RnuLLYMksnzCabfLM/w+Rf9d4PagqHRUXs4k6tpLZ0IZqzq36lOWU0zaxWfxZc/pDK9LloO9bau/RVife3Ui1xXzvaRydObRouqLJ2s5r35D23XsQ6xy4fWF21E1y1tkfcylnaj5QT3M7ncwbn5UdP2exHw6yLpLaishVjkb+wtz8rfP5Rpqm/x9L916X+nctrkfFVPK/VeldmjWQZzoMqpuw2Vq17dHpzs2vVb5eWQ5xqc7Qj6a2SgfPT07pp9uJom02GWr27marHSINOzhPFr9JqhjsY9ItY/UZeNox6p+3J+lE1fu2qzbm8EvI1carfqr1P4tqn8n13O1/ZdxuQbf8dKo8utcV1x70/kJ6tjoh1aZe3VZ1fpnKfkBAKFG7ZhiOyMLMuhs2HYF243HmVGj0MSU2GH4+4npi+IGUrkTBhXkNTjV+MTkqEh7ff6yVXfUCuXpEum0ip1PP00pfqyC9HtT5XyEv5PceIOyDSa7I6j1Ja0nfkcZpCUh3VxusWUR1EPyziTcVpP7imD2tRT1UD0rPY5tcNlUbluqbNVyXjnHT9Ey4nQEdRfUh1WfVfTfBW8PIVY5mpMu02CdlSezvKNtPyFPlfbNxnd5ve62Gq0/u/7T9MeQmH2Oz97vJ9YbC8rb3Tbt+ki/vnTL26zvx+bV3TciZTer38GUKtRFpXaapi2Yk92W3fXlZq/bLif5ecr9QSpW/zG3l5T25P1F5f7EeB2xfchPV8z+KKHfJ/bLOGJ98nvmekPlbOTJnO99z2u/st3ysqqtqnJy5MHYjjO9ZnuP7CuiU6R89forlcWs2ptZRhX6ZFIbSiW0rfh2ZC4TTHG/Za59UoXfPWcdVPgO89NfYd9l5dOcKtWh7Tb+nz5JAwAAMCfFgT6i9vhLfeDGQD0AwPsFghkAAAAAAKhJCY9mBgAAAAAAuHkhmAEAAAAAgJqEYAYAAAAAAGoSghkAAAAAAKhJCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSbHBTHGgiZraR2hKv1eK1Nck5g8U9XtT0mdzI9PC67amvjN6AZHKkXYxr9K2L49Qx1zSd6ZPbTtSLnFEmYhli0c6jLRaOE2p16fNNR8AAAAAALeAmGBmikoXxD/LM1Qv/gmCiRwN88dDOT+g6DhS1TBcSwh8ZMDQJ5YINLaP0/jRLmoWr5u7R2l8XLwXU2eDGNSL9cQGCtXyghWedBDiv+dpO1Getz3QKssloIMpsYyfFg44mgqUWV+gwtJuypzggCVYzp829NLYqV5qMec1ddDIZV6JLid74u8YdcDT7OoBAAAAAKB2OYIZHnC3UO8p8VIPmAvrVPAwPp6nNl5ka94PKPo36mH95RKV1KvKEpYtXiqJoGWYcnagM1miMfHPWE+LHsCLAf+k+mg+qWBJ5XPJxn4/n6PdzdS2v5MaZfmoYGPKD3Z6iNa3ye92rlTrocVrKbtmmEpL+8W8empt5wBI/DvglaWeOEhb00Wj5rzxfmpdzCtppM7QfD3xd4w64MmvBwAAAACA9wlHMCMG3DvVWZC2/Tp4OeGdsbDPzHhnEGanedkS/SrQKAKIbVvFi6HB0LqLJ8SW9aCfA4tZWZyhzIWSCEcULxiJP7OjLhMLnfO4fJIKlKW1Itio94Kd/RnqvZi1Aop6yiwnGs5XeQlZLOOsDp+Z0XMBAAAAAN6v3JeZybMgzZQhfQZlWUYHN8GZABlQrFGDepMrQInQZ1niNK7jEGqMeg96Z2eKVBgS/5wq0YT4Z+Iif1sEJg38WZWMS7paLm6TefHPpkQ0UnZ5Lx0wgp2p1wuUyZmXmYmAJ5+h0fZG/d7UTG3LC9RjXAIWnM0xAhP7MjPH5XdTR3qosF5fYrdfhpgAAAAAAO9rzmBm6hKHMF6wIIKapfwv0fD2YMDd0rOA5wZWZtUZoaGCvHdm6sggDa9pFikZppzYdo4DmzUZShE2BeT9MDkqGffcjDsDkDC+X8cMdvhsjPme00ah4CYs83A3ZY+3+Gd//LM53uS6zMyRromLRNl79FYaRHCpywYAAAAA4P3KGczIMx8iWKDXCzTGQc3KVuqXZwPa5A3w6jIv8TpyI3y80NPReDAu/hm7yOdZGN/obl6y1khZvtSMzwxdnqKTx8eoLddP/d49O0JbQgBhk2dDTmRloFDNvSUnjaeocfBmBnPqhntOmwhYEs8Qqcv2SifmGnqMUUnfI1Q8WBD1w2Wj3gMAAAAAvB85gxl5mdepXsrx2ZetGSrxvRrb+W4ZdWZEnZVRr9M9RUtfJuaRN8eLf/X9K/LMizFYZ0uWyXBHzFM3zYcuBVvTRVtiLw2zFenA8WzMZWBR6gED6t6gtfwUNX22RD0AIHgfBEUi2LMutVP4iXD6s8UiGPS3bz3RTF5mpi6fS9LYnifSwVSOsuI/93b9J89V+7hnAAAAAIAa475nZmVncF/GBTGoz6nX5mA+L8+ctNE2b1DPN9eLf4KzLQEVrDRT107vbIoIUHidImDqGeijHhk05RPuXWEcBHCQYayHgwSRlsTv8ZPT9COm0/Af/Zz6rFPMGRL5oIDopXDFgRYq5YJyVI+cVoFhcMbHxXiy2boS9TrWLYNGUk85G11fopM4cwMAAAAAtzB3MMP3l2wXYUN3F7VxwJFXD1I2L7OS962E6EvDrKeQ8SVefCanubtbP25YEwETn+0YG+JzMm2Ut86cePeWqECFL0NTj4tu2+89tjglDrKGcun+Fo1IU3WPOOagLEO9G6ynuvHfmNkgwo20l8IZj1nupp7kP/4p66ZkBIYmUQeknjTXcjwTeTgDAAAAAMCt5LayoF9rHDjkiPYbZzx0cMNnZrx5fDlTbojvoeG/vRJQ8/UbqZm6jlYZgFhUQJSJbEvSgQNf+MZnVdzBiMqTfKy0C9+AH3MmxgvGmJn/EF0+gaQ8G3/HR0pbPt73omUOAAAAAPB+5AhmAAAAAAAAbn7uy8wAAAAAAABucghmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAgPeP6fN0/vsz+s18mKHSmfPi/wAA8F6ICWaK1Nc+QlPyDzX2iXf8xzDVX7nnPyKZ5q/pe8vDe+NGlP/kiT7asX0H7X5mB+WeHKbi5GnKv3xef5qGbl/8h08HuJUBxOM/yJtm33MrCeX5Pesnwe+Ah38HOo5M6XcB//fhTJ/63E+z95syd3HbTuXdIu0bOEeLGurk28nXRDofWUNNWw9RSc6ZjTrKLD5Hzz5fREDzHgnGJfwHsjH2AHi/iQlmGim7vEAn/R1CkQoXsrR2MdHERaJMg55905u/H1CnGza44MHE/O2gecff1NRkTeH1VxowTB7ZQX0/aKVd+3fTjid3U757BRUe+wJdXbZCLxEW/NiY6qk1RzT4+lraRoPG9qODp0Ri4BTJz7zWy/yW/80t6DM8kLbbQLhd8MDBKve4aa71Ieo4N0Q0vN1ab0z/9oIAP73cRiqloer+zO1CpSPatmdDrW9W6/KCh1mJ629e/bZQ76lhysnX3A+m6OTxMRrraQnqQZdb/T1ZKp0I1jT1eoEy6xpF2ZaotDwjevxcFelAT4a2bfTW5GqDcX11hor7B+muza3UcLua03BfJ3W2ZohWZkj8f/YaWqntQ4O070xcOMPpdJXxAu9b0rT7qsTlYz7EtcNqNFLn+DYqbahcpu7fpHlWofyjBx11GVTcF81HWQHcOm4rC/q1jzt5S8+Yfhdo258n2p6jYf2ete0fpy2X3MtHNVPX0X5qFUGRjzvthl4KfXtrnsbbxQ+gybFcc/co9fs/ai5ix9teoi0DraEfUc7fgaX91LlSzzDwIIgHTazi+jlNBzPUb6aV5+0i6ra26cynz1EuIbzj6iHa6V4mrr6izO241hmUF4l19lC3O/8/PEY71p+jz77RSav1oICd/s2dNP1ruyi7SM8wuMqcy7qwbjxaD4llxSqVV1Am3D5d9RzeRhvlxzvFz2Acq6z4B2q77gWOtmq2oQhX29ai37PzyQOJcP9zq1w+8cw+w9sbpIyxLi7X2HYhxNapQ+X8arquKNQfk/oEp7tAWVGnJAYLpYfFMpOizk5kI2Vfse+s6aJRuy9rnP7BZZymiUg5KWnrS+1HVZnptO8nynltzMHeN1WqF09i2zSF8s1lfYAyA6qPqHV4fcb8LCa/Yl359QXKmeXsKNeK7UG3g4wsK6+Os1TQda1qNqFdfP8Q5Z6/i/qfzlKwi5qiY19poZMbXqNd6x07rmrwfvHLV6nzG5socryP027/Vkju9PIgV7bbSNtOavdhsm0fz8a239kR5e74TY1Kbvvu/XK4nfk4UL+0JWjbFX8fAqF+ZaWby8c5DjD374mSfzcql39MXer8brvYE9MGlNj0C/PRfgBqCgczcc72ryqvWiWm/rNqxtuHy+2O11dG2st73pQvE1wpH/5Se/nw2/qtoNav5pnr4Nfe/Dj83crbPFve86XDYss2MX/VHvH/ZCodqgxC23pzjz/fnELpd243LC6ffrlXnKJlF88uf1cZBOXF62wficmBzH9P+eRf6/fStfK3R16JzbM7jTH1wOv32tkNwenQZRqqN2O+LmtZN/4y0TbtptcTlyfuS/7nQR1U/J7EaUjTF9Iyty9wXRjvK7W1VP2ymvzKZVUbkf1FflYhz3770etzTZEytfKdSG0/3D/UttLUA5dRbN+yhMrT3P9qifuKqvLj3h9G1u+tU5excz/h1a+xbzvb734tVdMe9HaDcuFlzLTH98nvHXyk/NS3rup32rWT5WdXPVJ+saTfz8nV8qv/LmZdIt3uOnelNz4PkqMdhKn2GW3jUbHtJ/RdXQ+JU0J6PVx3Ytn4PhLXDiuUh1Bpv2SuW+5HrPRX7rdcBinyKFUq/+TyjKZFr8+xrD2p71Yor4rtB6D2xAQzqvPseVPvAIwfLvPHLLxzTu5w9o48GJgooR9txh0u9sfY7qw6nd47x87Km7xt8DLR9Lt2pPF4HXE7QTt/YbqsEnco9o90IFJWUnXl7/2w+JMsa7FNXebR8jFcerH8qPjOvQ+0l5/97cPlb5eulK/9nf4sJGGnnbCdxG1HJP8wOMs4dmARJyhb+3uRgZlNlnPSMpx+43NHu3fXt2J+ptIS1OHsRL8f3kZ8Whh/zuUUv0w1+Y2mRfYrRz0EuK70+vV+SzJfO1wZEW3C7z9mfXF6jfxwehPyJ/OfUP6JbZvTqL/rlWPs5CiXpHpx8cpSTfH7vrOibPaIfeOeEXObXp8wy0rw8iD+bR85q+vCLEP+nrmtatqDEi5Dte5Q2dhpkq6UX/myI9A4P1h+8Bf3xubd9L2Xni0/9W8fLT8x8u3y4d095b1fE+l46Xv6U4UDpvZvmqlXgvpJ3k+7yygqdr9ToX1KXEeh7UXFtmNH/aSR2C+M9NiTX8+8jNl/rfeyLZufy3IIl6HXp9Q6zTJWdZJqn1JJmvL3Va7nZHHpqrzeir9bADXGEcyYHcTsFGpgcVh3gnQ/nvx9x04isqNxd8r4Dsc/YPb3HZ2Xt2Pv4Pwdqr0Olb+43ZmLM33GNp2fO3fcjrQL4R9tLZSHSmLKX+Aduz/fX2dQBs5tGya+9Wz50Qfu9fNw75cPlyecAY1il0UwQLHrQX0WLh9zcpeVTf64JZRruh8bD6cxrhzj0qPK3k6/vY5QPTD7R5vZ7dhjz9fvq8+fKakfcDnE9UnFq1dVh9GyqSq//G9M+an6NT7z1qH7lzoQY6TVtR2P/I61rL/uYL7cpiwbd93yJMtdpttRTjy/Ut91pjPaR2xB/1Jt1ZkuUygtMevX5e8f1NLfOSzr1tueLgtel5l28dqsKw6EVFsNt6+q27/xWvU9O+1Wvft4uafKr1onZiZ+97Hyqq+dLF/T72NdfbW896WJ8rWxZ8urHtxT/vZf81kYke9/92rZXOWVb1qDai3+t8yV3pj6MBnl6wna53yIKUfdJsLtKy5vQlXLh9tGuByi6fH2NYzz3i7aqPqcv2dtg9uV2HZQZknbCpPrtsrapfryN9Kg0xeeKrQB5uovCXnxOdoPQC1LuMwsZmcmO4F3xE3Pc1CDGfcy0Z2Du/PxcuaPsFpn3OTovJEOG96BmTvD8I9kdP2RwYC1Lp/5wxvCeYxJp9zhu3Y+XAfh+aE0J0gqf/8HxkunX05BntLuwK9dnSifzbeX7131YHnwvJ4ZEa1fs27T5slVHi4y7846UPyBheuH1lGn8kfKWZbu9KjlrUGaxmkL5rvLJfo9d1tLX27VcG9L4vKK+0wLp4nzZ5bb3PIrJaZB7bP4DEukXJw/+kJkfZxGdztw4u8ntDWT2eYr4vSa7dKawutJ1y9CQvtG/v48tiVnWes0hj6rsj04ymTPm/Y6VBuI9FV5OZldRiogcZ1Jibh0snxSrPNc/sHyg/lzctbV0rny96zgKK6dzXsw4+gH870/CLdX1UZkufvb9dKpPwvl21velW/+nmN+pC/xOoJyiLQNXl6Xk0ortxOxTGTdXjr5c5V2VzsL59cTTkOSqsu/in2Hh7cR6gMibXsifdfLbwJH+wGoZc6nmfGNmOoJNmPUuyF4Sox8Ws7KLGV6ctRL6ulmwfLhSd3IGf4+T/z0kImLY5RZatwSd6ZAw1uzkRvpeDmFb1pTN9uOj49Tfqu6sY9fqylPbaSetmM+0ad4Yji8HUvjujYqXdLLT5aILgzKNHrbMddP28NPGZo6Mkil9WtT3ljp3azK63LcMLi4lbq7SzQYeRpRPbXuzNCgfmIT3/CXo3zkhr9qy794UN1EO76uoOZvL1H2nnQ5mRkfoYKRzLpFDdS4tY026fdO/CQjR/16lixrDuphTlQ7kXkfKohSd5mSj2AtcLlsKNG2UD2P0+j6ArWYT8i6PEI9xzPUtka/D5kQ68rQEv2OcR3xjdi8LtfN2I3tedF/Dqi0cbmsMb/PT4miaF3wcvplQOTjQvPCP1nQeBoPtxtK3eYZP1nIuNG06vyq+jTbbxPf+Huql1rMeTyJNE4d6aFSrp+2LXd8l2/oHcoZ31FP5RrZJdqAd4Mu51XeyC/2J6dKonbnV9VPguSHRch2OUpdW7to1Guj3c16Ae3ySSosj+9fccYu6hyeOUAFcvdB177FNcl9I9+Yze8jZc1PXaqntetL8qEGbfx0M1Zte1jZqcrjaBc167JR+0LvSWs88e8Wz7NMT0fr83qJiv95BTV/LEWL/ulmal48SefemKS1K9RzzxYtW0GZOT4zwG0JZUL7G7553Xpq3+K14hc43EYb20cpkxdlME9PLzPba3GghQrr+XeRf2sV+RvYvUW0O/E7NSDaqPj9VE/m4r7HN5lze3XdaC72C/sz1HswnE5+8h0tM/emYfykPPLaLBO/m/1H1e+jmivWm8vQ2NZt4W2K8YVKJz+ltZcOnLGfiJckuo+PU235+0/6S0k+IEP8/qt9gp52Zim7Xox+8mb7mF37AahpOqiJCB2lCB1BUEdcokfPwpKOUthHQNzL8nbUEZbQURTXEQXn0TDX0YngyIyN05CYJ7GN4PPwujl9oaMlCUdbzCMroTyH1m/xjkhWcSQlqfxNMu1+epOPXLGzzzmOqL3zSvmJBwfL52IuM3Oty3mk0stnqsmuW7NdJhxNM47muZnf9dpg0BbD4tuT2o5Oa2gZc/3W9+OOljnbd0wZzplOk59+nVZdN7FtVEtud3PLr1+moi72JKTDmYa4dXrkuo16iWsjfrkkTK48CWn7pKzXEZVevpdHtr9+VSecb+5P5npC/Uvks1IdeYJ9kdiGtc5YnP+kcrTqONRGZRsyy7Xa9qD7jk6DWrddVwl91a7T0ovlR35RzPu7q+Vzf5aizK6+Wn7KcalayGl3Owv3VU6L0V4cZynMOnbvi+PyKchyjvksLV6HVxehOtd1YH6uufZHnHYvn6E8RNqRKz96W/pdiMyjarv8uV1eZh2Yn3n919VHXOl3tptKUpV/OL/ubRvi+kYMuzwqtR9/X1DFNgBuJrF/NPNAj3FUho/k6yMIfPSzd3kXZY/3zPrZ+PVLMzTs/S2CM32Uu9BFW6yzDWo76ghLcCanSH0bCpTdaT7qcIpG8iXqejh8hIOPGkXO9vAZoJi/ddDY7j6S7pm6FBwbLw7kiPbrMywi/S0XtwVHSviooT4qGXmG/eURGvSPrPDZnuAZ8/FnkTh/w0Rrmqn5FB9V0rPnA6e9J0N5/3GhjdSZ+MjNEp07NUaFE5P6vXB9isaeP0QNPW20wnhMc8B1FIzPKmQoYx+x8468xk58VJAfh8mvzTNcfOarhUo5sw5LVHK1Tz6al/A4TXkkzjuyy0es13fHP8LSOGNSHAg/8794ULTToyrd8myPd7SOj6L7R/qWiFfe33PiswSin+Xs8hd52x5t32zJMooc3bTx0bxIO0zCeeIzH9zPZPo7acmRDnn2ruvo6Jz6/Zzyy2dN+JHn3L/EfmEL9cT+jZnZkEdJvT6dRLYfrz2KyThL4E8xfYjPBPv7vTi8j+C/6bVUvxctrHdDC/UOcZ30+u0twGczgv5VPJH+LCvv81Sas1Qy9vcRfMbFPNocOusSPhIt97vePtbLi+w/ul67iXL+8tW2h/BRcm7/JWNXlOwO+kBDeJ8wdX6czq8U65seo7ELeqZIx7HuzfSFbzj+AOZ3i1T4WGPi2ZipyRKt+HB0ATOt6vcjaC/5rfoMutGe5d/rkUfb484i1FNGnoF0kPtR/lsr0b8TVQmfWZZ1up0oH/tbMEy5fMZ65LAomyF7ny7Szo8mlvnkfUeLvy+KnIUR+1rzag8ptK8MyDTy9uV6o322fmO/+JUVbdRol95ZR94uX+8R+a2V4xBr+1IjZbcOU6GafWia8pdnU70zSMHf8UtUxd9pqq79iO3rccno+pLx9wUBaogOahw4cg8fUZFHPMyjNQlRfKWjkOZRwdBRD33kJHSEwJsnJnudcj2RI2HG0RT+rv68UprcvHJIOEJkbt9/Hz7yIVll5h0xkXmwy9LPc3gdqtwqHMURKuVVrSf+iJPzaM7VV8sHfvd75e/90Z7yE9seLT+y5ZHyo196tnz4fPyhymA9XB5GnSS0nVh2WTNZTtHymFVd66N9lY5iBaJ9xBPevm6Puk5D6fLr2b0OV5sP6O0nlmVc2h0iZekdQTbaiVwmvt1ULPdq8+st79U7vzdf28sLzjS42o6JP59NmzTTk4LMY8J2/LQnpJf7lJ8/a7mK5R+h6jja5g12mVfKr+5HQbtR2/DSFUqjrsNU7cHbdigNxr5eimvv18onv3ZveW9Rv2Vvv1J+6vNPlJ/d/WL5rP8EgIny4X91b/neXx401qnwzf0P/Xb46WW2b//7e93lL8rEy1+4joL0yt9Xo2zlezP/VdP7h4T68srYn5zL6vXoZSLp0fUdbUNW3ei2qvIVV2fiO7p/BL8dlYX6hBZ8X7U/P3/cfow+qMogaR+pvp82LYH48g+3AbsNu1SuS1s17cdvB7PZBwLcBJzBjNcJvB2O39CtjuTagQQ7x6Sdg0uww0nT+STrh9wT3lFU11GD9HtT5XyEv5O8UwrKNpjsnaRaX9J6vB+XaNqCtCSkm8sttiyCeqh+522xfjTMgUvaOg6Xl52nhB8B/QPrT3Z+jbT4U+wPhfljm1ZQjsFU6QdL8fOc8ocluYwEux5SUel31ZPcXkxZcftL3X+12PzKOrTKjPNibdvuL840xOwrTOFyDE9qfa46jZkStmVvx0+rWU/O9AbbV99xtUt3Gl192UtHbH25+kjcJNMabFtuz/++I40J7TG2PXj8NpBUH9G+dvVbT5UfOZgcjHjO/vaBsrrNvxrnyoP/4tnyt12PRgu123C657yfrWA2fbKiUNtI2K/Z+2GerHbN9W2WQdA/Uuwv/fVXu3/2fkPTln+wfOq0aZHy57Jz7uvM9fMUzZO970haFuD95Db+nz5JAwAAcGuaKVLfvxqnB/bnYi6J1a6fp+EXidoeWaFnpPRWnnJvNFP+0Sq/BwAAcxJzzwwAAMAtpK6RHu/4n3RoNPk+ktLoaWr8dJUByfVJGnn5KnV+DoEMAMCNhjMzAADwvjF5NE/FlTm6f94eaz5D539nH5V+qXMe1wkAAGkhmAEAAAAAgJqEy8wAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJqEYOZW8N3TdHpav65C6Y3TVNXXbtR2AAAAAABSuDmDmevTdP7Ibjr0Hf1+IcwU6dCTOWppaqLdp2b0zBo1PUmTf6Nfm0Q5Fl/upY72nbS7u4M6vl6g0sURGn5NhRbTb09SVTm/UdupxvfHqE/U445ndtOO7Tto+DuTdPobh+i8/hgAAAAAbl03WTBznkaeFIPh3+ilZ3sO0eR1PXs2Lotg5Td7aeSifm+ra6RNPdvol2k1rVhWp2dWodL658v1KREo9FHvkZKekdYMFffuoGMNj1P/wC7a0dNP/Zunqe+hY7RoxSK9zHyYw3Yuj4gAaISm9NtAkfqa+sT/K5gcoR17J6i1O0+7n9xBu/fvohXfeoy+8E6GVuhFZu1MHzWJQDd2cqY7MHWkg/rO6DcAAAAAsCBusmBmBbU+IwbDPW3UqOdUTQYZO6nvBNEvd3RR6zI93+X8WTrcsJrubtDv06hm/XOhg5id/a8Sreukro0Z/UFKbw3Tzrfup7Y19XqGIPKaXZ8mvyKYqDBY981lO5MiQFu/loxvVmGajg30UsNDmyhzp55FdbR6XZbub7xbv48qDtiBSQeNXNYf2rbmaXx83D0NtCamu/6eLJVOOMKx2AAOAAAAAKp1c15mNhuXT9Nwzw7a/fod9EDHLup8qJHqb9efxSi9NUYza1ZQqjBhFuufFRHEnB7qpR2/eZLuWN9Ju76yiRoX68+qMHXhLE2+O03XrLNbd6xpqnjWojiQI8olD9Y9c9nO1KUSZZbOLpQRtUfnjouQ5t3wBWwzojbXNjrOCHEQIYKXHHGAkhfBVxeNysBkG5U2iKBmwBF4DOWswCeYOo4E4QifhYkss6GXxuzv8zYWt9K25b10AGdtAAAAAObstrKgX99E+DIjMaDeP06dK/WsGDOTp+nQ/mN09ZObaMv6FbQodYAxTYWn7qOR5lHq3xA/oJ7t+ksv76bBN87RzC9+gZrPH6OJ61fo/PJO6n8oJnSamaTTBwfp2PRq2rT5flrxQT0/jTMjNNLQSq1G0DPzxm76pS8eojs+fj+1fmotPfDJLK346fDldMUjI7Rkox20cNkXKDveGT07Nq/b4aCpg0oP94v1qfoe1vPDmqnrKC+j3/om6dCjG2n3d+upecMWyt7XTGt/PkP1zisGef2DlPHWw4HNLqJu4+wKn7EprDPaG19mdiJL4+2zPkcog5we6qb+jVbO52HdAAAAALAAZ2Z+//d/n37lV35FTvx64czQ+aEcPfryDD3wVBc93lJNICNcP0fF0RXU/LG4QGYO658u0CvURt2fuZsK+8eo4YuddPf0GI29WXI+1WvmrWHKbT9EM5/qoq4vVhnIxKj7ZCd9oz1Ld33/GA0/s5M2f2YNfXagKHJVweUSlbZmU1/mN+vt0BSVLmQoI4OURuoMXcaVF6XXRnn52hXIsAba9PRu2vRRotN8T9EXP0st6ztoZFJ/bOAzTaXu7mA9kyUaWy4CH/2WNT7cFb0sLOWZmTj1G7dRpudA9N6flVlqu1DCpWYAAAAAczTvwczAwAC98847cuLXC6eOVmx+nr7+yRLte3ofHfvzKh/++93vUOHOZro79p6XOaz/h3fQJ9Y1UOn8SWr4zAO0+s5FtPrXXqCXnsyS65b4uo+10fPPNFNpby/tGz1P03N58IFPpH/rbnrp+DidOvoS7fpchkpDh+hkpWzwQF+/TGeW25kPDVnasX+UTp16jY7sf5yaRcoHRfmFFakw1EbbjLMjfHlb87Il+p22WARWdoCRcM9M5GwLizw0YFCso0Q51yVsp0o0oV8CAAAAwOzU9j0zt9dRwyfbqOup7dT4zgj19oig4610o+ipc2dpcsMnKP5WcWG26//pZmpePEnn3piktSvUZWWLlq2gTMLDveoaVlNbdxdt//hVGnl6bkHN5JGR0NmAOjFQv39zG63W7yuJDPRjzHU7szZzmkaOG2FH3SJqWJmjtk/r9yY+07QmQ0GOpujkcaLsPVYwwsvJf9W9NU3bhxPPzMjJDFI4kNlO+mySN3VTdl2W2oYGrYcMLKHMGv0SAAAAAGZt3oOZ9vZ2+tCHPiQnfn1DeEFH9+O0ejpN0DFD594ao+aP3U11F8/T+UrXRFW9fmH6HJ0ev5+aPl7dY5+9oObxn59tUDNFxT90PMb5h1M0sX4trU7xVOaxi2nOGcx9OyFeECGnuPtntPOnqfCufu2bpqnLDfTpT1qPHeAzLvqldPkkFShLa+1L17xLzxa3Uj8HIvvbjDMzo9S1hu/d8YIUvgxOvH/YuxhvikbyJfG5fZ9RPTWubKXOyKVyE1Q6pV8CAAAAwKzNezDz4IMP0re+9S058esbrd4LOmZeob5n9tGY87G75+j8cZJP0jr/2hhdq+Jem3TrF75bpMLHGhPPxiRa7AU11+iV/t2071TKOyxmzlHxRIEKbxjB1rslGt5/lra13++8zC2kIUPNae7nmOt2xEA/s7xEJVl+IhjYJUIMP1jg4GGYcvbZD42fQjd2/NXQ3yGaOvEcHWrYRW0f0zN8S0QwU6CT/nZ6KRN5UluR+raLYMQPTmz11Dqgn3omgy1+QIIdoHj3/6QQOVsEAAAAALNxk11mxn9Jfh/te+Y5GhHvRvp3Ut/zh6iY4souW/3KTdT55OPU7Li1gehuatrcSOd/dze9+tOt1FjNgwO05PWLYfNkiZasX53usc9JFjfSpq/soMc/GbMh28UJuuv55yn7/T7q2L6ZNm/NUa7nNVrxpBh8p/l7OovXUtYf/CeY63aEJctEYOK4YV+duVAPAMhTzrrZfppK1zbRS19ZQoeeEtvcKra9vYMGf9hK/V9spOh5MBGI7BQ5koFICxXWj4aekKf+7gw/Oc/xoIELg8bZIn4aGp+RESIPSKintetLIvhK8Yc+hanXC3P4+zoAAAAA4LlJH80MVXE8MjmNuEcmxz9SeH63w/eZdFzaorbDl5nx32bRH7WleCz3XHAeW3rE1vjvzYT+AOYUjbS3UK+8DIwDKtcjqvn+mGF1GZr5eGUrD6bm7lFdnrz+HqKdjuAJAAAAAKpS08HM9HdP07kr+k2Mu1aspswsH3W80Ov3/bBEp89X2tDdtPpnYi7emu8ggwfcAydpbbv12bxv531IBDx9r6+lTtfT0AAAAACgKrV9ZubdaZqucPP+HYsWUd0sLiOTFnr9nuszND19Tb+JUbeIFt2pX9tuVJCBYAYAAAAAbiK1/WjmO8UA/4PJ05wCjYVev+f2Oue6Q1NcIMNuF5/PJh0if1W5UdsBAAAAAEgB98wAAAAAAEBNqu0zMwAAAAAA8L6FYAYAAAAAAGrSzRvMXOe/OdNLHe07aXd3B3V8vUCliyM0/Nos/uiMy2SB+to305qmzXToop43T/ixv31n9BuIKA500Eilv2Nzi+G/ZxP+ezkK2spCK4p+PkIp/+QsAAAA1JibNJiZoeLeHXSs4XHqH9hFO3r6qX/zNPU9dIwWrZinm8kbstT5lVbK0GrK/LSeF4MHovM54FR/qDF5ig58+e+TpPujjDcWp2s+gxNen7tMzCmxPvjvwAzcXCXV2J6nTM8BWX9m/fPfuhnebuTNHHjz3+GZYzu4YYGjXeb8N3e8PPHkqA+zX3FQ5wr2Ini98xacxLS10Pqj7Ts2rc52F1NfifkQAVjKP8Bandnld7ZS1ykAAMAc3JwPAHgrTxsH6un551sp+GPykzTy5DG6+5kcrdBzQlx/sND+o4aWqaMd1DLWSq89naWkEIkHXYV1MX/E0fsDiil4fwgycX2MB7HeH5P08SDjAGUGrD/i6FxW4cGE/MOQrEJZzB6nK/6PQIbSkKiZuo7yOpLXx3idB5b26/LjgV+OKteA+gOYS9Kmx1VeVbexcJ1xuu0/RhrOi4nzVaCs/qOd3GZyQ+qTsCrzZfwh0MS6Cf0x0XBaApw/7w+MmkRd7s9S4USG+kXZOPPI/eZE1ii7yvUucR3sIuoO/aFTT1x6HMz8udbp9yuKpIsDxNLDjnRG8sT4zFCJtvC6Xe3HZ/6BVuM78n0CXudBVc4RzvQIqfObvjxdf+Q2vm2HpW+HAAAADhzM3GyujLSXV205UP7e3+kZ0kT5lZGz+nXY2f5V5VWr2suH31bf3fOmmi/Xo+dHXSuf/Nqq8iMHv6ffK+o7vL7Kk9zOm3vK7SNX1JcTcBq9dJmvnZzrvFI+/KU95WgJ8Py4PBrEOr10p0lvHFXWaaZofcQz81A5PxXXyXntd7cVJ17+S4fFluPNpo3xZ86yNurCntR6z5b3eOuMpC2uHbid7U8uyzBet0iHoyxi8yLTGqTHL5u3D5fbdR1E0sCfGd/xRebzuqNl5JxkmlOWDW/HzKOrvYh5Kr92e0zYhr0emR8jjfZnsW1O5Dv2M4sr7QZn/VeV3yjuC3H7ENUfjDy7poT0KvHtEAAAwHZTBjPXXn+2fK/40fulzz9V3vPSK+Vzl67pT6Lkj6fx4xgJFGIHDefKgw/eW95b1G9D4n/Q4wZ1iYN868c7TUDgb4MHHo7PeQotE9lG8oDE5erY3vKz/+6x8qPPnSyfzPeUn/2tp8rtXztZvqo/D4QHsKZI+Ut6cOLIA0/h8kxe1pui2zBUGOCFmO2DX4vv+QNybXZtLGFQaKTP3FZ4vXogb6bNKgOenIPKUJtJ2Q70+mPL1ZlHJWhrnGfdLnRZynyYdSHTlhBwuD6Prc+YdhhTVnHlYfdHWaZim6ps7Xo0Ao1QOVuT1abUv4dj23aoHhPKOsJPZwy/HgLV5TfM3P+ptmvUucW9L6hA113V3wMAgPeteQ9mjhw5Ul6/fr2c+PXsXCuf++0nyg/9cvCD+5D4QY6ENPKHz/whdf8QOwf2E4fLj616tnwyLk5yDqDiB/EuctDgGIRV/JF3DlCMQZRkpsXOd/wAI9658oHnvl2+Vnqx/AgP+CbEnPyD5VUPDopPosxBja+aQZhMo2sw7q5DkxkAMHtw5pqi21HstqHeG2U96zZm1hfXlUqHTHfCIDjIl/6+YzCaLKlduDnLL7JNR5vSA8/Id7n9vBmk22/vXlkm5J+nPSPpytzZBuPIbbvKgssrmO+vM25wn1Qfrn2Gtx79PbvtskjbSdqGpXIZ2PVWZX5DdJvU7/z3/nfD0rWrQLXLAwAAsHl/AMDAwAC98847cuLXs1NHK7buppeOj9Opoy/Rrs9lqDR0iE5aDzKber1A1L3FuI5/gkqnMpSxrmVfsoyoNKnfaNNvnabT6xrp7jo9w7ayk/I0aN34O0il0Pbc+BpwvrGW74uJv5+iSpdLVFqeMa4dX0KZNfqlmLt2PVHhde9mW1EOlBFLBGkxJ+dNudPXKJP9BF27UKTzLa2UbSBa8amv0wv73fco1W/spuxxdUO7p3iwlzK5yte3qxvg+br8cee9PtVqbBflPG5M+9vUvSzGPOd2Lo/Q4IUsrTXaS2M73yvQSJ36Ov1ZtzGuL/1SrJU6RRpGu5v1e0Gnj+fx/Qb8Or9Vf8b3NPB9QKd6qYXvsbhQoqKjHuVk30TO292a1emtp8zyMaNdWPieCrGOnGjpZlnJdC0bdNzMLtZt3hi+uJX6re+pSZRhcLMbNT7cRaUTYl1y+U5qFH1LLZenNnmvSPBdWQZL9XLq60I9te7MUuFgqLXRgZ4MbavYfvh+H1FOfI8Ip8uqN+7TwzTm193ERaLsPXNvk56pS6InLhXrmxStYRn3SAo/8IHL33kvVAKut9QPuOA2MEwF/0ELs8+v3P+tX2v0b91PRH2G+pfXrkS+vLbN7by5e5TG1xXEZ9YDBqpuhwAAAIGb7mlmk0dGQgPkusUZun9zG63W700TF8fUQMFzpkDD/kAuwMvZSm8VaMUnVxg/zFGN7duotEE/VUj84LYcz1K3NXhyBQvezaz2oMUMIuzPQpPjgQJyUK0HQy7192SJLk6oN2JAK0IbahHrarm4zRogjIogpCUa0CxqpOaP1tG54jFa0ZhRD0RYvIJW2Dc5+3iAmaFBPZjmcuDBiH2zrwpcwpMavI1R74bw/OAJZdHPzCndje4piAHmWChAjJpLG6OkdQ/l/Lx4bcEf1HpBggjKeACYX86BUYa6jpr1yBMHAw4i+JG1K4M1EUB57cLEA0i+OZzX4wi4OVjtumAG8zwo1i8NrvYfGXyKPpzx0mTiwGuNCrorEmXSLQa2qt3yjek5ov32Awl04BKa9MMhODAMzed+rQIiDqayJ9T8nBXcztXExQxlRZ/wgpr6jf0iYOOHXag6VK8dDxNIUDwxTG3rVM7rl2bkvx6uD/tJf43r2qh0icttbvmN9AUXDsS3k9xGELwbgScHsvsz1OsFplW3QwAAAIs+QzNv5naZ2ZXyK1+2LmVhfzZYfvCrr0Tu3bAv2fAvZwlxXTbxvfKLW+6Vy179s3PGZRMO8vIUvuTBka4YlS79cKfTELlsw5UH+/KRAG8/8fKM2MtY+D6iB8uD5/XbNPjSGi6f0OUnyZLzn3SZi2LXu1ijfxmXP6VJT4rLeWbdxnjdVhqi6XbP80Xagb6sx7Fuk6x/WQ4iTSPuS4ACZtmF21P48id3vUTSz+2By9QsW57nSC9/105b9HK9MO9SpOQ8mTh/afou58+oW7/srXxbbSYoaz1Z7Ul+Lu+VEWnw+opzMtKY2C7t/Og24b125dWrk5CU+TVE6tohVH9ynWfD22HO/KVsh/xdvVyltAAAwPvDvJ+ZefDBB+lb3/qWnPh1VWbOUfFEgQpvGNeTvVui4f1naVv7/ZHHJ/NRyWG+fIWd6aPchS7aEnk8aA/1Lt8WPvI5dZ7G31pNmYZpGjt1Ts9040unxtY0UzMN0+B79TcTzhygXrKOoF4+SQV9KZmNj/4mXt7GZyT0y5DL5+js5FpasUy/r2iKRvLDRFw+p3rpQNLfflkwfJR+kDLmWQu+zMw4Eh/7N2n4jMFQ8lHfWbcxXvepEtnnREqXRkJnD8wzM2riMwacp+DvjBQH9OvIpYZusv5lWXQTHR9OPJrOlw6RvhRofD9Rzr9srUiFIfNyOvfldZXIM3Pbh6ktcvkhH623L3GaotIF/dKFzzQNETWL9jam/2bPfCkOtIg6NM4s2pdOecyzTCI9PcezNOq1u6Nd1KzPuHltTtbFupJ6vDFfumqclfEmdamhcZYp7kyWEL3UtZGyy1Xfi36mNWTE/issdX4Nsi/k4/42jttYT45KufBjm11nmdO2w6nXS5SV5Zcn8volAAC8r91cl5ldnKC7nn+est/vo47tm2nz1hzlel6jFU+Gr8H38eCA1OChiS9tMP8egbzvQAwWebBhD+zrV1O2RQQy+efo6icfcAwOg8tV5H0vA/3ysp9u6gkNVOYi/WVmHDCUqGsn543//oS+rIsHBKHr19NRg0uxvocdwc7bE1Tc2ESNcfcReXTZeve9eOWjLl2Zjz+4N/fLzOT1+XqwyOly//G+RurkS17EtmLrdLZtjAeZW817FdTf0hjrESGoMZg175lRkxjUcqC6PLiUrbGdB7qiHezqpYy+vMjjBzoRHBBZA9YY6hIkYeUW6hIh8snL3P7FINQcGMdcXsdCbdm6RNK7nymUBllufJmYdXkV59sRMPmXssn7XsapX7S38fEsFXiefc9Q1VRfl/drJB0A8C2hDEWDVIkPEsh7ocRAe7vuB3wZVT5Do0czNJj63g8VoLRYy3PfdV3qyn+QlUQduD6T+LJFP2/V5tfAfYHTlfAHPRvXqf4k64vzHap7bpPcf933OqVph/X3ZKgg1y/aj9UXAADgfUqfobmFBJcrzOYyBHXZSLpLXez1m5ecJG27msvMeJ3mJTXBNhyXk1jM9KRJVxoq70nbVpevJD8CN6l84y9z8XC+wvkwL1HhqXLZhFnfj73Ex5OyjXmX98hLY3SajMtk4iZ/nV47kN8xyyT+khyJtys+M9tNPK++zMldd668RurCzLOjHGUbsC45C9qFvQ2dz6T68MozchmbUUYJl+TxtmPLSZejXR7mZU/hPmbVBactIa/mFC3baL2kq89ks8lvhL+cmlztwmTmOT4P6dohAACA7Tb+n45rAGCe8ZkTkmdWalmR+gaIOqs9kg8AAACwwBDMAAAAAABATbrpHs0MAAAAAACQBoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJqEYAYAAAAAAGoSghkAAAAAAKhJCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJqEYAYAAAAAAGoSghkAAAAAAKhJCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEnpgpkzfdTU1CSmPirqWS7FAV5GTAPWUtdLdOiLOdo5dIxKP9Tz2PXT1Ne0hloe2UzD39HzAAAAAAAAUogPZt4do14RmNz3yD46/Y6eFzFFI+0qgOk7o2c5TL82SH1vFOnYa1eJFumZ7PslOk0zNPXnGWpYpucBAAAAAACkEBvMlH5/kEbEv9N/nqcvPDGsZtIw5eQZGjV1HJnQ892mz4jvPtlBO3uOiZClkXb8+iail79AXxgYoeJl8fmFIp2XSx6jHfcF6/WmpAAJAAAAAADe39zBzOQI9e1NuqAsnUUf/HG6dnyMxt6to+buXbTpgwUa3HuaTg+N0Ll3Z6g4fkwvCQAAAAAAUB1HMDNDpfHTdIXqaMVjeTo1Pk7j+9v0Z22U5/d66t+4RM+PsWwT7XqqWbyYocmLJTr2/E469i5R4xNdtKnhNI29zAutoB0vB+scH8+LrQAAAAAAACRzBDN19AGapvPvztD553O0hi/52u6+zKxp4KSeH69h41epaw1RaaiDdr48Q7Smi3Y9lKHp10boEC/w8VZai/tlAAAAAACgSvEPAJgvtzdQay5H9fz6zmbqerKVGm4nWvTzn6XO+zJi/mu084uHaFIuDAAAAAAAkI4zmKnf2G9c9iWmmMvMxtvX6vkJZoq0b1eepqiONj3zdcp+fx9t3vBZ6pv8BLV1f4FWf+c0Fd8YpmNv6eUBAAAAAABSiDkzU6Q+83KymMvMKj3NTP7dmTU5yl/kdzN0qH0N3ffFPJ2/XKLhgwWaXrSWWj9XJz6bpP3H5/7AAQAAAAAAeP9Y0MvMlizjm/9dFlFmskinp+roE82flnNmXj5Gp2fkSwAAAAAAgIoqBjNt+6OXmeW36rcVmJered9p7h4V71+jl4Z2ULaeqK6pmTbxB+8eptfeRDQDAAAAAADpLOwDAK6fVperfeVYcIP/5AjtXN9Ea57Xl5XVNVLTZxrp/u1fpfuX8yVnnmbKNOiXAAAAAAAAllkFM9f+Tr+gJdQ6oM68dK7Us0zfL9Fp8U/DxzPkxyUfrqe7ZohmzpR0gLOIsk/laddjrdTIjzybvkJX5HwAAAAAAIB4VQYz5+m5x5roC7+j31qCIEeZKo6Jb9RR9udX6DnC7XdT4y+KEOZKiUrTep5h+s1xKshXIgCSz3MGAAAAAACIqjKYWUErPqpe1X00R9vWq2hDPrWsKQhyGhbdIf4/TecuXKH6D36amj+m5it3UfbpcXrt5U5qXqTmTB/f6T8h7b6vHCK+c6buc830idvV5wAAAAAAALaYYKaROvWN+/blY9mvqPmnfudxarxTzbvrp1erF8Kijz9Ouz7HZ2IWUfNXXqDR4ztotXkrjMOiDzdQsMgianyoi1744mpjHgAAAAAAQNhtZUG/BgAAAAAAqBkL+zQzAAAAAACABYJgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJqEYAbg/W6G/7KT8G6JDh0tqtcAAAAANQDBDMD73NSxJ9Qfrd34HH1gZaOeCwAAAHDzw9+ZAXifmzpzmq7+zCcoswh/phYAAABqy817Zub6NBVf7qWO9p20u7uDOr5eoNLFERp+bVovMBtF6msfoSnx30h7n3gn5gx00MhlMaA70kF9Z9RSSbzloUZcPk35vQVR4++t6e+ep8lpfTnXzCSdfr6Pji1QO5p6I0/7jkdzPDm6m3b09NG+r++gHUNFmr6uP7jyHRp74zQd2y/SNKnn3eLQjwEAAG4NN2kwM0PFvTvoWMPj1D+wSwzA+ql/8zT1PXSMFq1YpJfRLo+IgIcDFJsIXJpUwBJopOzyAp30BzFFKlzI0trFRBMXiTINevZNzwvKFgiX6cBC3TvBgWSTuqwpZkoOKtPlferUPup4bAftfKaX9p2PD4D9IJbzHGkvrjZkqvR5oPTNzbTxvjUqj2seoj7KUla0u/kzRWPPd9AXnthJPU/vo/Pv6tnazJk+6nizmXZ1d9LjT+ymL/z9Pto5qkqx/r4cta1vpvs/10gnn3GXbTXlxMvadeqe5iug4DY1f8GJO/3h9fMyHUcWrAcCAABASjdnMPPWMO18635qW1OvZwgNqym7fjXdbQcckyWi9WvJWDIWD0ByQ2PUu6GFek8NU64pR8OneunAGRHUyPnB4IUHbq5Bjfp+eJ5zUCYHfdZyrgDBsdxsB0mc3rhAoDgwx/VzOl1BhCuf/hQ3wGymrqPjND7unjpX6sWc7IDUrX6NCISf301f/qWMnlPB4lbq7i5RbsGCuCx1Pr2DOrv76YUjf0gvPNZI83tRVz01P9ZPz339y5Rdpmf5punkS8PU8LG7/W1mPtZIYwdfpZIIQfbd10sFjvcW3UV3nSrRhFrELUU51W/sD9fp0S5qXtNFo+Y8OfVTqx3Qpe03Vai2H6v0j1LXGrOdcloX+CACAAAAVO2mDGamLpylyXen6Zp3GYx2x5omWqFfe6YulSizNE0oEwyy8lv1jK15+b6zoUQl/VoOvMRrb0Ddtt8bzMRNPOhRy3pk4LChQFkxEBrtbvbXMbps0B8w+cTgsN9YH6ctbX5s9Ru3EW13nylobA+20U09/gAuFPyc6VPzN/TS2FAuvAwPYtcXqMUezFnp54nzrAIWx2BVcg0kvclMPx/xjy4THYjGBU3Vqd/YTV0XcuEyWZOhJfrl3DRQY8smatvYTCsaKoQxl89TMWbEPPmd8yI0qVaJzv1nPvNotKs7P0ANbxWpNL2E/sm/baUsn/C8LPrB+rupUvi3UOWUtt+Ygbma+OBE8kGG6vvxBJVOZSgzr2fPAAAAYN7xAwBuNtdef7Z876pV5V/6/FPlPS+9Uj536Zr+JOpsf3v58NvyVXmP+M4q5+Qtc6V8+Eurynve5H/3lM++uae8qv9s+cpIe3nVlw6LTwUxr31EvtLUd9zrXWUtK5bmdYl1es728/b0G/b24XK7t60I3paXVqbT6b3jdTvSwJO3DV4mmv5gHWnwOkJpNtj5C9NlFfs5s/M4G1zX6fIk0xtb3o68mvWTWFfM3eZcZXe2v6c8ePDZ8rO/tbf87FefKA+ejl9r+e8myq/2D5ZPWotMfGtPeXAs4XuSqoNwG1DpjORT94trb75Y3jtyuHxg997yqxP6c8ucykluS5RNhXqort/Et4HIdyXdNo16Mie7H/N+ILSM3LbYpk4DpzfyHQAAALjh5v3MzO///u/Tr/zKr8iJX89G3Sc76RvtWbrr+8do+JmdtPkza+izA0XSt08bpqh0wTt62kidoSOteWoT/+Xlaz5DwNfV9xDtNC5jWtlJ4+1EB45nqUtfuhQ901NPrQPmenlSR3Gbu0epf6Ox7OUR6unJUL7de7wtp685fC/O4lbaFnuZVPLRYP/yHX32yE+PeF/KqzMmfHYm03PAOLsh1knVHTV33j/El/+IOuA05GkweiZEntXhI+TitX9WJ+5+krRnZuI00pbuEg0uxD0LfKZpoFVetjj1eoHGlmcqXMLotbFgcl0mt+jDd1DDL+6gHV98nHb0tNKVx56gQ6KcnW5voOwX76crz++j0/o0zPT4Php8dxPlzEsv0+IzLvqlS93KTfT4xlZqe+Jxyqa9b6zacuLLzHYS9Yg6jlzmOKt+E9MGxLoGL3TRlkgdVNGPheKJYTlfLsf9Tc8HAACAm8u8BzMDAwP0zjvvyIlfz04drdi6m146Pk6njr5Euz6XodLQITo5lweZycGMGdR0iuEQE0GQGJS1rstQ4fUinTye/CAAdYmLCorsARAP6qh7i14vcwcnS5YRlYynRgWXzeRoWPyX8wf2Ojiw8X1Cy4zwZLHYhn7J+cluHaaCdwkQD2T1QDN6eY7rZvvgoQhxGtvNy8f0pWDbKTKoHz+aoUFncJJ0z4xXL6boQwNaLoo89/TMy+VlcSYujlHbumhqZiPzuR10v9eu6u6mFWuKNPzaeT3DQQQ0rU9+miYH9tHYiX3UN/lp6tqYNtKwhNrH/EtdTvqSRHmZo3EfzGz7DV/ulj1uBu6iNR7spUxOBVlJkvqxDIiGRMh9Ud89VMV9eQAAAHBj3XT3zEweGQkNTurEQOz+zW20Wr+fCzWAiV5fL48Ur8yKwXGOeikYyLsG/zkxyHGdWeCggAd1obM6Zwo0vDUbGZzzcooapA8uU0eA+X6Z8LX9fHZJBTfm0Ww+apx0X03jujYqXdLL80DsAt9zEGzHXD9tDwc0U0cGqZR64MaBTIGycl2OIEQMXvlmce/oeVz5RyfzHhguoxYqrLfSvk7UVzdR78HK53HS423pbcsBbRtlEx9GkNLMeRru3k0F67HHk9PX9KsYIqB5YP0M9Q3M0P3rZxnIaHV3imS8a5zbfHuCTtMiWvRj+n1V5lZO8gyjfxZmNv3GU0+tO0XArO/jkg/4oOB+N0+1/VgGRNwP1xXU/O0lyt6DUAYAAOBmNO/BTHt7O33oQx+SE7+uzhQV/9BxQcwPp2hCDLBXW09ljhADq+BJSHyWI4xvgjdvLPYu11JHZpdQhi85MQby5k3z3hQNONTEA6gly8IXo3DQET1iHVxCM3WkRw7S5fZdl8fIQZ26nCw4esxPXqsweFzZ6S/PaaD13dY6PI3Uud8IfMS6D/RkaJteLvQUKH4ogJxr4kv7VBBjDhjN4Kh+qXHOSJan9ZQosX3vQQw8yYcHbN0WnPk5c4B6l3t1ZFjZSK3WoHguvECrIMpKnr3b5crvLF05R2NHT9O5KS+YEEGMeNmw6A793m3mTJ56zj9ALww9QOcHhiOPW07vbvrEBhEMXDFObV6foZmPNVKmUp+yLEQ5VdtvQvhsT65ELaLdtRzP0qijPVTbj3l5GRCJfhRpjwAAAHBTmfdg5sEHH6RvfetbcuLXVZk5JwYyBSq8YQy63i3R8P6ztK39foqOu+ops7xEJXkUnwdW6klIamDCg2Z9yZZ/SQsP1oPLyOQRWD1o4sCid3kXZY/P/tIlHrgPn9DbOtNHOce1+2o7anAUHJEuUh8/xWmneXmMyE++RF0PhwdnfOYkctSag56YexZ4YBYNYgJ8j5CnOJAj2q/PsIj0t1zcFgz0OPDT98JELk3jQIy8gITP9hhPnqpwFkkOGOXTqlQg1EMi8LIGpM3mJXXzjOtgeHuTPKLP6e/fOEF9fPZIBFDj+2l+HtX84bup+TNt9OmP6aeYTZ6mwlvN9Pin7GfzBWbeGqa+YjN1b11BdXeuoLb21XR6/yEqzSqgqaPV94ug9cw5/76z8+MFan7ol1NffraQ5VRtvwnjfiICdhEgN8vHrOvZ84H7QOheHnVJakJrBgAAgBtNPwjg5nD+xfLg6Yny2Zd6yu3bHik/suXR8qNfHSx/O+HJV8FTluynZAVPO+KnGwVPHgqeauTNk09S8p6UVOHJTO4nJQX4c/UEJOtJS64nOnnzxGSvU64n8lQw4wlO/F39eaU0uXnlEPNUMP2kN5//3i5nwSoz70lPMg+RslTfbzefLCXWK+vAf+qcST2Jq+onR116tbz3uT3lp/7lveVVv/ir5fav7S3vLYQf1WWXsUpDeFu8TPy245+oFTHxanlP17PlPf/+qfJjjz9bPnwh/gl95Ssi7b99rhxZ4q/Plgd3v2qVZ2CiIPIo1v/IL64q3/tAe/nZ5/aWX72kPxRr+97Is+UnfmNPee/uJ8pP/PbZ8tW/0x9VMOdyqtCnmNyGbA8p+g3z+064zaj1uNpRGC9XuR/H163XxgEAAOC9dVM+mrkq5qOU/QGOmuzBijcI8wYp/gDKHLQLvJwzuJDfrTxQClODcVd6YtmBhGYPwPw0VRgosiD93pRuwBcsnzxoD8o2mCKDPeNxt+6BoBdgRdMWTb83pQwmKpDpd5Yj159KT3wa7KnaNlI70pRTRIpgJiq+36h6SKr3NO0ooY64ncamN0gXghkAAID33m38P32SBgAAAAAAoGbcdE8zAwAAAAAASAPBDAAAAAAA1CQEMwAAAAAAUJMQzAAAAAAAQE1CMAMAAAAAADUJwQwAAAAAANQkBDMAAAAAAFCTEMwAAAAAAEBNQjADAAAAAAA1CcEMAAAAAADUJAQzAAAAAABQkxDMAAAAAABATUIwAwAAAAAANQnBDAAAAAAA1CQEMwAAAAAAUJMQzAAAAAAAQE1CMAMAAAAAADUJwQwAAAAAANQkBDMAAAAAAFCTEMwAAAAAAEBNQjADAAAAAAA1CcEMAAAAAADUJAQzAAAAAABQkxDMAAAAAABATUIwAwAAAAAANQnBDAAAAAAA1CQEMwAAAAAAUJMQzAAAAAAAQE1CMAMAAAAAADXptrKgX/veeecd/QoAAAAAAODm5AxmAAAAAAAAbna4zAwAAAAAAGoSghkAAAAAAKhJCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJqEYAYAAAAAAGoSghkAAAAAAKhJCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmnRbWdCvnYoDTZQb0m8sbfvHqXOlfpPaFI20t1DvKfFya57G2xvVbAAAAAAAgCrgzAwAAAAAANSkisFMY/s4jY8b0/42/QkAAAAAAMB7p+JlZhFn+qhp+7B8meYys6kjHdTSM6bfVaON8uOdhIvQAAAAAADAperLzGbendGviEqTU/oVAAAAAADAjVV1MFM6f1K/Ijp9YUK/ile/sT98mdr4KHWtUZ81fPEF67NxGu1uVh8CAAAAAAAkqDKYOU9jvzepXxPNvHyMTgcnatK5/j0q8ZPMhEz9XeoFAAAAAABAlaoKZmbOvEKHZSxTR3V3in/ePUQvvTbNM9L77neoIF/U0YpMvXwFAAAAAABQrfTBzPUSHe4fJo5l6lp20Tf+rbocrLB3kE6/K1+mcv7EYbkOuvPTtHqFnOXWlCGctwEAAAAAgDipg5nSy720+zv8qpE6fy1LKz71OD2+TLydHKaOp4/R1HX+rILLx2jfkLpMrWFrK62uky9Drv7NFfVCfHaHegUAAAAAABCRKpiZPNJBm79eFK/qqLl7F23iIOb2FZT7vx+njHg5M7qTHttbpMTbZ65P0sgzPTTGZ3HuvJ86H3Kflpl++7x6sWgRxzMAAAAAAABOycHM9WkqfiNHD/WMyUAls/V5+vrGBvUZ+2iO+rubZdBRGsqJgGfMfYaGA5mnNlPvCV7LImr9ja9S9oPqo7ApmryoXtX99F1iSQAAAAAAALfYYGb6z0eod0sL5eQZlzpq/OIL9EJ7Y+RsScPGfnrZC2he7KAHt/TSse+rz5haz0PUe5wfFLCIsj0vUNd9MWHKd1+hQyfUy+xyPucDAAAAAADgdltZ0K99U8d30oNPHlOXjX0wSzv2ddGmjyafJ5k61UftTw7Teb6MbNnjlP+dHC05Ya5nNXXu2U1tHzfWM12gnfftoGP6re/O+2n3kV0xZ28AAAAAAABighm+3OvYk0/Q6aZOevwzjVR/u55dyfePUe8z5+j+ZzpptYxZZmjs65vp0Id2UPejqx3rKdGhrZ+l3W/pt7SIMvdtoR1P5Gj1Yj0LAAAAAADAISaYAQAAAAAAuLml/zszAAAAAAAANxEEMwAAAAAAUJMQzAAAAAAAQE1CMAMAAAAAADUJwQwAAAAAANQkBDMAAAAAAFCTEMwAAAAAAEBNQjADAAAAAAA1aUGCmeJAE/Wd0W/er870UVP7CE3pty5TRzqo48iULC/+9z1zeYQ6KqR1LtAeAAAAAGAhJAYzPAhtagqmeR1wxw6gi9TX1Cf+H8YDfzkg5u9FPg9/h5c10x0/ddDIZf2lanCg4lrfgE4Bp3E7UX6glerVnESN7eO07WLLHMtXlAGXZ1za9KSCiikaaQ8CjOLBXqL1a1Va+ftePiwL2h4knQf9bt6JvKVPsyojM7+zbi9xEsoaAAAAACq7rSzo14k4QOihburfWHl4zoPewrpx6lypZ7jwwPLSFsf6ODApUHa8kxr1HMbbP7C0X66TX7dc3Ebj7d4S7u/4OLjYRdSdJrjgZTf00ph+K23NG9vSeCB6Iqvmm3nh+RzIGGnh8sgN6TcVtO0fpy2XRP56QilwC6WLA4ESbfHz6L3P0IHQfA8P1g9QZmeGBu38etZ00WhMmc17e5DsPChm3dvMsm3uHk1MT8V6cNVzCLezHA0nlEs16Qm1IVkfLdR7ij9opq6j/dS6mF9rrnbpcywPAAAA8H7AwUwaV0bay+0jV/Q7y9uHy+2rVpVXVZj2vKmXF3h95vvA2fKeVXvE/8PCy18pH/6SuT7xnS8dFnNjcPqSPtfO9nM628uH3w5vj197831v7imv6tepFK9l2aTcjiexTG28vZh1q/Tpcu7fI8ovKPPQpL/P+VR547Lmz7zy5nK18hkjMe2zaA9KXD2624TNLIfoutPnbb7EpSdcXyJXurz8Zcy2lUCt58bmCQAAAOBmkjqYkQP9FAMsFgyWAzzwMued7fcGYd6A2jUFAzX7+6HAoVIQ4Q2uE5aRA0Mjf5E82NtwBTMhKQbPzu852HkV242Uhx/seAGB/a9IT79eB7/208av7XJXU1La5rM9yLJ3bJ8nc5lwejjdlQOcQLqAyJOUJncAUW16BK4zuT7re7qO4+k6S1n+AAAAALeqlA8AmKLSBfHPUIHSXeHfTJkG/dKJ15ehjLwsppE6x8dp3J/y1Cb+y8vXCZfOLG6lfn2pz9TrBRpbnnFe9uPjS4N2EvW47vW4PEI9PRnK+5cYcfqsPIjtbVteoJOXxadHOqhp+7Aoj5y6l0K8Husx73lRlwyVcjr9fIlQ6N4Lff/FJaKxixPqKwmKBwuU3akva+J00CCdvGcbUT64v6R4QqTnVC8d4PtgxL8tfDlU6N8W6uU6lOqpdcAsW6+8R6lrDV+ypOoi/hKp+W0P9Rv7Vd0f7aJmvtRLpkW9L+k81m/cRpmeA8b2JqhEGVqi31V0uSSWH6ZcpB7UZLcJP02hidsmXz7W7WiXVaZHmLpUEv/nso9eHplZFrMmvjSN65IvR/Pan+MeMwAAAID3g3TBzOWTVKAu6to6TIWKT6UqUmHIC1RujImLY9S2LuleB40DIDEo7aae0I3XHAxR9xZjQCkGpqeieViyjKg0qQe6+8Ww1ht4i9f+/REycOFAxrhHRG83Eqjdk6HmCyU/IHES6xu8kKW1Rloa2zkQEUGgf9+GKHMRfDWvEWnK871D3uDbmqz7PPj+DvUQAG+Qz4PkMerdoAf5cTenL1R7mBSDe3MQv1h8T7/koDdrbo+DEx3Acj7MwISnyNPT/DpwTFyXlch6HaSMCPScQV616RHlcoDvi9qajQQyXA4c5oTx/TpiXfJ+LCv9RzM0iIAGAAAA3odSBTP8tKtMrpVa17XRsHE2wOlMgYbXRI9Qc8Axf/jMh36yFA/2h9ooW/Hm8oAMRowbvTltmaXGAJXz4Bhk2nloto+e84CXHzQgBpgcyPCgNvHpWTxYP1USoVMCMbCtdNZp6sgg0fqseJWhLQOdRI7BtJzMAO5IBw0uG9UBl/vMTNzN8AvVHvjsUqgeLI1ie6VLemsc+FwYlPnifIQG9yJopO2uAGKW+GyIvPl+jAqvx+S2yvQUB3IikHEHUXzGJlwOHMh4QarjIRciUOvuLtFg6ie1AQAAANwaKgczYiCXu9BFW3jQu7KT8st7qSd20CSCjPwwtYmBbtLgO0Ie9fYG3Tka1rNd1FHvFiqs50t9xPZ2xT3hKb0ly5r1K4UH1dEzPeFLz6IDToGP/nuXvolgIUf55KdZWWcb+DuRAXhDhsKpsxXpwPEsbblHvxX4Uc/hwbSevOBElHfPxW1G2mLOzLgeRbxg7YHP4FQISsX2vDTLy+pEG+B8Rcu4kTr3e4EPB75efmImfZkgv44EnxzIeGdDEs7gpE+PwGUo2kbnOvW2Mr4UUwUx5lkfs63ULw3OYYXyjEc/AwAAwK1M3zvjJm+ct29qVjfs2zd0M3lTuHejeoh5w7kSPADA/kzf3Mw3Rhs3OMt1h+apdMj35s34LvbN+zbz+/6N9GHyhvBQeow0i++YN6fbywZ0mr2JlzFu9g6t08ffcc236DyeTbxxPf6mftdN+hEL2B6cZVapXhNEHxgQL25ZmSYz/fOSHs67LsOY9fl1Icp7j5kuo63Y7SJUf8b3zvZX+VACAAAAgBoSf2ZGXlpTom2Ry1oaqZNvzA5dNqOOBOeG2tx/KFLeYxG+78O7/ySK71dRlz3lKSePlPPRaD6S7Z1dkDfgN+Wo1D2qzjbwGQK97Kzo76uj9BTOgz5r1HI8S6PGmY1B2ua4CVyVQ/hv4Ii5Mr18pDxHtN86U7KYb+jPJVwSxUf1M/JsSfwygr6/ZIl3P4+8dEzfoyPfq8vH+KxBkJ5g4r+NMizqNDzfODOzoO2B7x/RD2Dg8tZnE9xnyCrRdSDWty1yhsRlik4eJ8reE16W25ysRzP9fJas0j1OEXZ6+OELjkvFDHw5nawLUd5ZOw/+9htpSzfJy95k//DOlrHFaylzXJ1pyolyrrYEAQAAAGqGDmpCnEfJI4Ijw+7ljTMsriP35tkMecQ/YVlD5Gi5L+EMBq/f+Z0k6oyDKz2RMygyL2dlfpPSHs8rq6Sj6EF65BQpb/G5yONhPhvCn/ll6q1TbWM2Z2YWuj3Y25ZndHi5FHXmL+tPMW0gJLksOf3ucgrngado2wh/npieWZzpkWUbWn/yI7QBAAAAbmW38f90XAMAAAAAAFAzUv6dGQAAAAAAgJsLghkAAAAAAKhJCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJp0W1nQr1O5evUqXbp0ia5du6bnAAAAAAAALJw77riDli5dSh/4wAf0HKXqYOZP//RP6Sd/8idp0aJFeg4AAAAAAMDCmZ6epr/8y7+kn/u5n9NzlKovM+MzMghkAAAAAADgRuH4w3VlGO6ZAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJqEYAYAAAAAAGoSghkAAAAAAKhJNzSY+cHYXtr5r3fSnt/cSV/49Rfpz/77n9DQ4b/QnwIAAAAAAKR3w4KZHxzdSXv/+z+n7t/aRV/+yi567smP0B+2d9L0P/6IXgIAAAAAACC9GxPM/I/jtPeZn6L/89P/mOr0LPqxX6B7162njyOWAQAAAACAWbgxwcx/O08n6Ec0M6PfS+LNP1lDP/fj+i0AAAAAAEAVbkwwU99AP0vfpJ1tO2jPf/wm/cmlv6KZ63X0CxvW00/oRQAAAAAAAKpxY4KZJZ+h7t/4DH2E/oR+77lnqbPt07Rh5zfpB9f15wAAAAAAAFW6YQ8A+Kn7vkzP/afjdPzoi/Tc/3UP0dgQfet7+kMAAAAAAIAqLXgwM/PmN+nEX+k3Qt2P/xT97L98mD6j3wMAAAAAAMzGggczf/Enf0TT9uVkP/or+sH//im695/o9wAAAAAAAFVa4GDmv9Gfv/E6/dHYD/R74fpf0euD/4l+aufD9JHb9TwAAAAAAIAq3VYW9OtU/viP/5j+6T/9p/pdBT86QS++9o/pnp/4/+j//Y9/Sj+YmaG6D/4c/fNf+zX61EfwTGYAAAAAAEjnv/7X/0qrVq3S75SFDWYAAAAAAADmgSuYuWFPMwMAAAAAAJhPCGYAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgJiGYAQAAAACAmoRgBgAAAAAAahKCGQAAAAAAqEkIZgAAAAAAoCYhmAEAAAAAgJpUdTBzxx130PT0tH4HAAAAAACwsDj+4DjEdltZ0K9TuXr1Kl26dImuXbum5wAAAAAAACwcDmSWLl1KH/jAB/QcpepgBgAAAAAA4GaAe2YAAAAAAKAmIZgBAAAAAICahGAGAAAAAABqEoIZAAAAAACoSQhmAAAAAACgBhH9//7efUVy5D7ZAAAAAElFTkSuQmCC"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;20230322
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;4
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;0112223333444445555556666666777777778888888889999999999
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;185
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3141592653589793238462643383279502884197169399375105820974944
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;9
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B_3">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x5168;&#x63A2;&#x7D22;($O(|S|^2)$)&#x4EE5;&#x5916;&#x306E;&#x89E3;&#x6CD5;&#x304C;&#x601D;&#x3044;&#x3064;&#x304B;&#x305A;&#x3001;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x65E9;&#x3005;&#x306B;&#x30B9;&#x30EB;&#x30FC;&#x3002;</p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;<a href="https://atcoder.jp/contests/abc295/editorial/6034">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;  </p>
<blockquote>
<p>$R_i$&#x304C;&#x7B49;&#x3057;&#x3044;$i$&#x306E;&#x3046;&#x3061;&#x304B;&#x3089;&#x76F8;&#x7570;&#x306A;&#x308B;2&#x3064;&#x3092;&#x9078;&#x3079;&#x3070;&#x3001;&#x305D;&#x306E;&#x7D44;&#x306B;&#x5B09;&#x3057;&#x3044;&#x5217;&#x3067;&#x3042;&#x308B;&#x533A;&#x9593;&#x304C;&#x5BFE;&#x5FDC;&#x3059;&#x308B;&#x3053;&#x3068;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;</p>
</blockquote>
<p>&#x5929;&#x624D;&#x304B;&#x3088;&#x2026;</p>
<py-cell>def D():
    from collections import defaultdict
    
    
    S = input()
    mp = defaultdict(int)
    cnt = [0] * 10
    mp[tuple(cnt)] += 1
    for s in S:
        cnt[int(s)] ^= 1
        mp[tuple(cnt)] += 1
        
    res = 0
    for v in mp.values():
        res += v * (v - 1) // 2
        
    print(res)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc295/submissions/40205349">#40205349</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Kth%20Number"><a href="https://atcoder.jp/contests/abc295/tasks/abc295_e">E - Kth Number</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_4">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 5 2
2 0 4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 3 1
0 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;221832080
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;10 20 7
6 5 0 2 0 0 0 15 0 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;617586310
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>D&#x3092;&#x30B9;&#x30EB;&#x30FC;&#x3057;&#x305F;&#x306E;&#x3067;&#x6311;&#x6226;&#x3057;&#x3066;&#x307F;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x7D50;&#x679C;&#x3001;&#x30B5;&#x30F3;&#x30D7;&#x30EB;&#x3060;&#x3051;AC&#x3067;&#x4ED6;&#x306F;RE&#x304B;TLE&#x3067;&#x3057;&#x305F;&#x2026;</p>
<p><code>combinations_with_replacement</code>&#x3067;&#x6570;&#x5B57;&#x3092;&#x7F6E;&#x304D;&#x63DB;&#x3048;&#x308B;&#x5168;&#x3066;&#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x3092;&#x5217;&#x6319;&#x3057;&#x3066;&#x3044;&#x307E;&#x3059;&#x304C;&#x3001;</p>
$N = M = 2000$&#x3067;$A_i$&#x304C;&#x5168;&#x3066;$0$&#x306E;&#x5834;&#x5408;&#x3001;&#x5217;&#x6319;&#x3059;&#x308B;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x306F;$_{3999}C_{2000}$&#x3067;$8 \times 10^{1202}$&#x901A;&#x308A;&#x306B;&#x306A;&#x3063;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3059;&#x3002;  
&#x305D;&#x308A;&#x3083;&#x7121;&#x7406;&#x3060;&#x1F607;
<py-cell>from math import factorial</py-cell>
<py-cell>factorial(3999)//factorial(2000)//factorial(1999)</py-cell>
<py-cell>def E():
    from collections import defaultdict
    from functools import reduce
    from itertools import combinations_with_replacement as cr
    from math import factorial
    from operator import mul

    MOD = 998244353
    N, M, K = map(int, input().split())
    *A, = map(int, input().replace(&quot;0&quot;, &quot;&quot;).split())

    zeros = N - len(A)

    ans = defaultdict(int)
    for com in cr(range(1, M + 1), zeros):
        # print(com)
        ns = defaultdict(int)
        for c in com:
            ns[c] += 1
        size = factorial(zeros) // reduce(mul, [factorial(v) for v in ns.values()])
        # print(sorted(A + list(com)))
        x = sorted(A + list(com))[K - 1]
        ans[x] += size
        ans[x] %= MOD

    pat = sum([k * v % MOD for k, v in ans.items()]) % MOD
    total = pow(pow(M, -1, MOD), zeros, MOD)
    print(pat * total % MOD)

    # print(ans)</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc295/submissions/40055409">#40055409</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E5%AE%BF%E9%A1%8C">&#x5BBF;&#x984C;</h3>
<p>&#x89E3;&#x8AAC;&#x3092;&#x7406;&#x89E3;&#x3057;&#x3088;&#x3046;&#x3068;&#x3044;&#x3046;&#x6C17;&#x529B;&#x304C;&#x6E67;&#x304B;&#x306A;&#x3044;&#x306E;&#x3067;&#x3001;&#x5BBF;&#x984C;&#x3068;&#x3057;&#x307E;&#x3059;&#x3002;</p>
<ul>
<li><a href="https://atcoder.jp/contests/abc295/editorial/6048">&#x89E3;&#x8AAC;</a> </li>
<li><a href="https://kazun-kyopro.hatenablog.com/entry/ABC/295/E">&#x5F0F;&#x306E;&#x6A5F;&#x68B0;&#x7684;&#x306A;&#x65B9;&#x6CD5;&#x3067;&#x306E;&#x5C0E;&#x51FA;</a></li>
</ul>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html--></=></py-cell></=></py-cell>]]></content:encoded></item><item><title><![CDATA[ABC294の振り返り(A, B, C, D, E, F)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc294"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 294 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data)</py-cell>]]></description><link>https://arakaki.tokyo/abc294/</link><guid isPermaLink="false">6426d82710e09200010d2def</guid><category><![CDATA[競プロ]]></category><category><![CDATA[二分探索]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Fri, 31 Mar 2023 13:13:24 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc294"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 294 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="A%20-%20Filter"><a href="https://atcoder.jp/contests/abc294/tasks/abc294_a">A - Filter</a></h2>
<p>&#x63D0;&#x51FA;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/39843461">#39843461</a></p>
<h2 id="B%20-%20ASCII%20Art"><a href="https://atcoder.jp/contests/abc294/tasks/abc294_b">B - ASCII Art</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>B</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataB = [
    {
        &quot;in&quot;:&quot;&quot;&quot;2 3
0 1 2
0 0 3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;.AB
..C
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3 3
24 0 0
0 25 0
0 0 26
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;X..
.Y.
..Z
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;3 1
2
9
4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;B
I
D
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;24 60
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 13 14 0 0 0 10 0 0 0 0 0 15 24 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 23 7 25 24 13 10 0 10 12 0 0 0 0 19 9 23 0 0 0 0 10 10 14 0 0 0 10 14 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 13 5 0 0 23 11 14 14 0 0 12 9 1 21 19 0 0 9 12 10 25 3 10 6 0 0 9 13 23 24 14 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 13 14 6 0 0 0 10 5 25 13 0 0 25 0 0 0 0 0 0 0 0 0 0 10 16 0 0 13 21 13 13 14 23 14 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 13 8 2 0 0 0 0 0 13 11 13 19 0 0 1 2 5 9 12 12 5 9 9 20 6 0 14 14 14 9 0 0 0 14 14 18 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 10 23 13 13 13 13 13 13 14 14 14 13 14 14 13 7 0 0 0 0 0 0 0 0 0 0 0 0 13 13 13 2 0 0 0 0 13 11 13 16 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 13 1 0 0 0 9 20 9 20 20 20 20 13 20 20 13 20 23 8 8 8 20 8 20 7 8 17 7 10 13 14 13 19 0 0 0 0 0 22 14 25 13 16 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 13 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 20 20 13 13 7 20 26 13 8 6 14 0 0 0 0 0 0 0 0 0
0 0 0 0 0 5 0 0 0 0 0 0 0 1 2 20 20 23 13 2 7 2 10 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 20 23 13 0 0 0 0 0 0 0 0 0
0 0 0 0 13 0 0 0 0 0 0 0 0 1 0 0 0 13 12 9 14 13 13 9 9 20 12 0 0 0 0 0 0 0 0 0 0 0 1 9 9 9 9 12 0 0 0 0 0 0 0 20 0 0 0 0 0 0 0 0
0 0 0 2 0 0 0 0 0 0 0 0 0 0 19 0 0 14 13 14 14 13 13 0 0 9 5 16 0 0 0 0 0 0 5 20 20 13 2 2 20 9 13 14 14 20 12 12 0 0 0 0 9 13 0 0 0 0 0 0
0 0 1 9 0 0 0 0 0 0 0 0 0 0 0 13 10 13 13 13 13 2 5 12 10 5 0 0 0 0 0 0 0 0 20 16 0 0 0 13 14 13 13 13 13 0 0 10 8 0 0 0 0 0 20 7 0 0 0 0
0 0 4 2 0 0 0 0 0 0 0 0 0 0 0 0 9 7 14 10 10 14 13 5 0 0 0 0 0 0 0 0 0 0 0 23 13 12 13 13 13 13 13 9 13 0 14 4 0 0 0 0 0 0 0 9 16 0 0 0
0 0 22 13 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 13 13 13 2 9 14 2 20 14 0 0 0 0 0 0 0 0 0 2 0 0 0
0 0 0 5 13 0 0 0 2 7 13 13 13 13 13 13 13 2 9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 20 20 9 0 0 0 0 0 0 0 0 0 0 0 0 0 19 0 0 0
0 0 0 0 20 13 12 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 21 14 7 2 20 24 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 6 0 0 0
0 0 0 0 0 0 9 14 14 0 0 20 20 13 13 20 13 9 0 0 10 0 0 0 0 0 0 9 23 13 9 0 0 0 0 0 0 0 10 6 0 0 7 0 0 9 20 13 13 14 2 0 0 0 0 5 0 0 0 0
0 0 0 0 0 0 0 0 20 13 14 0 0 0 0 0 0 0 0 13 9 0 0 0 0 0 0 0 0 13 11 0 0 0 0 0 0 0 14 9 0 0 0 20 25 14 7 0 0 0 0 9 1 14 7 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 9 13 13 20 0 0 0 0 0 9 12 0 0 0 0 0 0 0 14 13 14 0 0 0 0 0 0 0 6 0 0 0 0 0 0 0 0 9 9 20 14 14 4 14 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 2 9 0 0 0 0 9 9 20 21 7 13 20 0 0 20 23 7 7 2 12 7 6 0 0 0 0 0 0 0 0 0 0 0 0 5 5 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 20 20 9 9 20 24 10 12 10 0 0 0 0 0 0 0 0 20 20 0 0 0 0 0 20 7 7 13 22 2 5 9 2 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 20 5 20 5 2 5 7 20 5 14 14 5 11 5 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;................................B...........................
...................MMN...J.....OXN..........................
.................MWGYXMJ.JL....SIW....JJN...JN..............
...............IME..WKNN..LIAUS..ILJYCJF..IMWXN.............
..............MNF...JEYM..Y..........JP..MUMMNWN............
.............MHB.....MKMS..ABEILLEIITF.NNNI...NNR...........
..........JWMMMMMMNNNMNNMG............MMMB....MKMP..........
........MA...ITITTTTMTTMTWHHHTHTGHQGJMNMS.....VNYMP.........
......MI...............................TTTMMGTZMHFN.........
.....E.......ABTTWMBGBJL.......................TTWM.........
....M........A...MLINMMIITL...........AIIIIL.......T........
...B..........S..NMNNMM..IEP......ETTMBBTIMNNTLL....IM......
..AI...........MJMMMMBELJE........TP...MNMMMM..JH.....TG....
..DB............IGNJJNME...........WMLMMMMMIM.ND.......IP...
..VM.................................TMMMBINBTN.........B...
...EM...BGMMMMMMMBI....................ITTI.............S...
....TML..................UNGBTX........................IF...
......INN..TTMMTMI..J......IWMI.......JF..G..ITMMNB....E....
........TMN........MI........MK.......NI...TYNG....IANG.....
..........IMMT.....IL.......NMN.......F........IITNNDN......
..............TBI....IITUGMT..TWGGBLGF............EE........
.................TTIITXJLJ........TT.....TGGMVBEIB..........
.........................ITETEBEGTENNEKEB...................
............................................................
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def B():
    pass

test_all(B)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>def B():
    from string import ascii_uppercase

    abc = [&quot;.&quot;] + list(ascii_uppercase)

    H, W = map(int, input().split())
    A = [list(map(int, input().split())) for _ in range(H)]

    for i in range(H):
        print(*[abc[A[i][j]] for j in range(W)], sep=&quot;&quot;)</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/39851403">#39851403</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x300C;&#x5BFE;&#x5FDC;&#x4ED8;&#x3051;&#x308B;&#x300D;&#x3068;&#x8A00;&#x3048;&#x3070;<code>map</code>&#x95A2;&#x6570;&#x3067;&#x3057;&#x3087;&#x3046;&#x3002;(&#x5C02;&#x3089;&#x5165;&#x529B;&#x3092;&#x53D7;&#x3051;&#x53D6;&#x308B;&#x6642;&#x306B;&#x4F7F;&#x3063;&#x3066;&#x308B;&#x306E;&#x3067;&#x672C;&#x6765;&#x306E;&#x7528;&#x9014;&#x3092;&#x5FD8;&#x308C;&#x304C;&#x3061;&#x3067;&#x3057;&#x305F;&#x2026;)  </p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x4EE5;&#x4E0B;&#x3002;<br>
&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x3088;&#x308A;&#x3061;&#x3087;&#x3063;&#x3068;&#x3059;&#x3063;&#x304D;&#x308A;&#x3002;</p>
<py-cell>def B():
    from string import ascii_uppercase as ABC

    ABC = &quot;.&quot; + ABC
    H, _ = map(int, input().split())
    A = [list(map(int, input().split())) for _ in range(H)]

    for a in A:
        print(*map(lambda x: ABC[x], a),sep=&quot;&quot;)</py-cell>
<py-cell>test_all(B)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40004440">#40004440</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="C%20-%20Merge%20Sequences"><a href="https://atcoder.jp/contests/abc294/tasks/abc294_c">C - Merge Sequences</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4 3
3 14 15 92
6 53 58
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 3 4 7
2 5 6
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;4 4
1 2 3 4
100 200 300 400
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 2 3 4
5 6 7 8
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;8 12
3 4 10 15 17 18 22 30
5 7 11 13 14 16 19 21 23 24 27 28
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 2 5 9 11 12 15 20
3 4 6 7 8 10 13 14 16 17 18 19
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3067;&#x3001;&#x307E;&#x3041;&#x305D;&#x3046;&#x3060;&#x308D;&#x3046;&#x306A;&#x3063;&#x3066;&#x30B3;&#x30FC;&#x30C9;&#x306A;&#x3093;&#x3067;&#x3059;&#x304C;10&#x5206;&#x4EE5;&#x4E0A;&#x639B;&#x304B;&#x3063;&#x3066;&#x308B;&#x2026;<br>
&#x4ECA;&#x56DE;&#x306E;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x3067;&#x306F;E&#x554F;&#x984C;&#x307E;&#x3067;&#x8336;Diff&#x306A;&#x306E;&#x3067;&#x30EC;&#x30FC;&#x30C8;&#x30A2;&#x30C3;&#x30D7;&#x3092;&#x72D9;&#x3046;&#x306B;&#x306F;&#x901F;&#x89E3;&#x304D;&#x304C;&#x91CD;&#x8981;&#x3067;&#x3057;&#x305F;&#x3002;<br>
&#x305D;&#x306E;&#x610F;&#x5473;&#x3067;&#x306F;&#x3082;&#x3063;&#x3068;&#x30B5;&#x30AF;&#x30C3;&#x3068;&#x89E3;&#x3051;&#x308B;&#x3079;&#x304D;&#x554F;&#x984C;&#x3060;&#x3063;&#x305F;&#x306A;&#x3041;&#x1F629;</p>
<py-cell>def C():
    N, M = map(int, input().split())
    A = [(x, &quot;A&quot;) for x in map(int, input().split())]
    B = [(x, &quot;B&quot;) for x in map(int, input().split())]

    *C, = enumerate(sorted(A + B), 1)
    print(*[i for i, (x, AorB) in C if AorB == &quot;A&quot;])
    print(*[i for i, (x, AorB) in C if AorB == &quot;B&quot;])</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/39859575">#39859575</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x901F;&#x89E3;&#x304D;&#x3092;&#x610F;&#x8B58;&#x3057;&#x305F;&#x3089;&#x3053;&#x3046;&#x306A;&#x308B;&#x304B;&#x306A;&#xFF5E;&#x3068;&#x3044;&#x3046;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def C():
    input()
    *A, = [(a, &quot;A&quot;) for a in map(int, input().split())]
    *B, = [(b, &quot;B&quot;) for b in map(int, input().split())]

    ansA = []
    ansB = []
    for i, (_, AorB) in enumerate(sorted(A + B), 1):
        if AorB == &quot;A&quot;: ansA.append(i)
        else: ansB.append(i)

    print(*ansA)
    print(*ansB)</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40005261">#40005261</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Bank"><a href="https://atcoder.jp/contests/abc294/tasks/abc294_d">D - Bank</a></h2>
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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;4 10
1
1
3
2 1
1
2 3
3
1
2 2
3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1
2
4
&quot;&quot;&quot;
    }
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_3">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x8A2D;&#x554F;&#x306E;&#x7406;&#x89E3;&#x304C;&#x4E0D;&#x5341;&#x5206;&#x3067;&#x7121;&#x99C4;&#x306B;&#x8907;&#x96D1;&#x306A;&#x30B3;&#x30FC;&#x30C7;&#x30A3;&#x30F3;&#x30B0;&#x3092;&#x3057;&#x3066;&#x3057;&#x307E;&#x3063;&#x305F;&#x6848;&#x4EF6;&#x3067;&#x3059;&#x3002;  </p>
<p>&#x3068;&#x308A;&#x3042;&#x3048;&#x305A;&#x4EE5;&#x4E0B;&#x3001;<a href="https://atcoder.jp/contests/abc294/submissions/39869561">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x63D0;&#x51FA;</a>&#x304C;&#x30A4;&#x30F3;&#x30C7;&#x30C3;&#x30AF;&#x30B9;&#x306E;&#x7BA1;&#x7406;&#x304C;&#x5206;&#x304B;&#x308A;&#x3065;&#x3089;&#x3044;&#x306E;&#x3067;&#x5FAE;&#x4FEE;&#x6B63;&#x3057;&#x305F;&#x30D0;&#x30FC;&#x30B8;&#x30E7;&#x30F3;&#x3002;<br>
&#x300C;&#x307E;&#x3060;&#x547C;&#x3070;&#x308C;&#x3066;&#x306A;&#x3044;&#x4EBA;&#x300D;&#x3068;&#x300C;&#x547C;&#x3070;&#x308C;&#x3066;&#x53D7;&#x4ED8;&#x306B;&#x884C;&#x3063;&#x3066;&#x306A;&#x3044;&#x4EBA;&#x300D;&#x3092;<a href="https://arakaki.tokyo/abc281/#try_2">&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x306E;&#x30E1;&#x30BD;&#x30C3;&#x30C9;&#x3092;&#x8FFD;&#x52A0;&#x3057;&#x305F;BIT</a>&#x3067;&#x7BA1;&#x7406;&#x3057;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;</p>
<py-cell>class BIT:
    def __init__(self, a):
        if hasattr(a, &quot;__iter__&quot;):
            self.size = len(a)
            self.data = [0] * self.size
            self.bit = [0] * (self.size + 1)
            for i, j in enumerate(a):
                self.add(i, j)
        
        elif isinstance(a, int):
            self.size = a
            self.data = [0] * a
            self.bit = [0] * (a + 1)
        else:
            raise TypeError()

    def add(self, i, x):
        self.data[i] += x
        i += 1
        while i <= self.size: self.bit[i] +="x" i & -i def sum(self, i): '''get sum of data[:i] ''' total="0" while> 0:
            total += self.bit[i]
            i -= i &amp; -i

        return total
    
    def get(self, x):
        res = 0
        
        i = 1
        while i &lt; (self.size + 1) / 2: i &lt;<= 1 while i> 0:
            if res + i &lt; self.size and self.bit[res + i] &lt; x:
                x -= self.bit[res + i]
                res += i

            i &gt;&gt;= 1
        
        res += 1
        return res if res &gt;= x else -1

    def __getitem__(self, key):
        return self.data[key]

    def __setitem__(self, key, value):
        self.add(key, value - self[key])
        self.data[key] = value

    def __len__(self):
        return self.size

    def __repr__(self):
        return self.data.__repr__()
    
    def __iter__(self):
        return self.data.__iter__()</=></=></py-cell>
<py-cell>def D():
    N, Q = map(int, input().split())

    no_called = BIT([0] + [1] * N)
    called_no_gone = BIT(N + 1)

    for _ in range(Q):
        # print(no_called.data)
        # print(called_no_gone.data)
        ev, *x = input().split()
        if ev == &quot;1&quot;:
            i = no_called.get(1) - 1
            no_called[i] = 0
            called_no_gone[i] = 1
        elif ev == &quot;2&quot;:
            called_no_gone[int(x[0])] = 0
        else:
            print(called_no_gone.get(1) - 1)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40007490">#40007490</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%E2%91%A0">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#x2460;</h3>
<p>&#x4E0A;&#x306E;&#x63D0;&#x51FA;&#x3067;AC&#x3068;&#x306A;&#x3063;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;BIT&#x3067;&#x306E;&#x7BA1;&#x7406;&#x306E;&#x8003;&#x3048;&#x65B9;&#x3060;&#x3063;&#x305F;&#x308A;&#x30A4;&#x30F3;&#x30C7;&#x30C3;&#x30AF;&#x30B9;&#x305A;&#x308C;&#x306E;&#x30C7;&#x30D0;&#x30C3;&#x30B0;&#x3060;&#x3063;&#x305F;&#x308A;&#x3067;&#x6642;&#x9593;&#x3092;&#x8CBB;&#x3084;&#x3057;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x300C;&#x3082;&#x3063;&#x3068;&#x30B9;&#x30DE;&#x30FC;&#x30C8;&#x306A;&#x65B9;&#x6CD5;&#x306A;&#x3044;&#x304B;&#x306A;&#x3041;&#x300D;&#x3068;<a href="https://atcoder.jp/contests/abc294/editorial/6005">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x3066;&#x3001;1&#x3064;&#x76EE;&#x306E;&#x885D;&#x6483;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<blockquote>
<ul>
<li><code>last</code>&#x3092;&#x6700;&#x5F8C;&#x306B;&#x547C;&#x3070;&#x308C;&#x305F;&#x4EBA;&#x306E;&#x756A;&#x53F7;&#x3068;&#x3059;&#x308B;&#x3002;&#x4FBF;&#x5B9C;&#x4E0A;&#x306F;&#x3058;&#x3081;<code>last</code>&#x306F;<code>0</code>&#x3068;&#x3059;&#x308B;&#x3002;</li>
<li>1 &#x7A2E;&#x985E;&#x76EE;&#x306E;&#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x306E;&#x5834;&#x5408;&#x3001;&#x6B21;&#x306B;&#x547C;&#x3070;&#x308C;&#x308B;&#x306E;&#x306F;<code>last + 1</code>&#x3067;&#x3042;&#x308B;&#x3002;</li>
</ul>
</blockquote>
<p>&#x3068;&#x3044;&#x3046;&#x4E8B;&#x3067;&#x3001;&#x300C;&#x307E;&#x3060;&#x547C;&#x3070;&#x308C;&#x3066;&#x306A;&#x3044;&#x4EBA;&#x300D;&#x3092;BIT&#x3067;&#x7BA1;&#x7406;&#x3059;&#x308B;&#x5FC5;&#x8981;&#x306D;&#x30FC;&#x3058;&#x3083;&#x3093;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;<br>
&#x306F;&#x3044;&#x3001;&#x3061;&#x3083;&#x3093;&#x3068;&#x8A2D;&#x554F;&#x3092;&#x8AAD;&#x3093;&#x3067;&#x3044;&#x308C;&#x3070;&#x5F53;&#x305F;&#x308A;&#x524D;&#x306E;&#x3053;&#x3068;&#x3067;&#x3059;&#x306D;&#x1F607;  </p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def D():
    N, Q = map(int, input().split())

    call = 1
    called_no_gone = BIT(N + 1)

    for _ in range(Q):
        ev, *x = input().split()
        if ev == &quot;1&quot;:
            called_no_gone[call] = 1
            call += 1
        elif ev == &quot;2&quot;:
            called_no_gone[int(x[0])] = 0
        else:
            print(called_no_gone.get(1) - 1)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40007855">#40007855</a></p>
<p>&#x5B9F;&#x884C;&#x6642;&#x9593;&#x306F;&#x5927;&#x5DEE;&#x306A;&#x3044;&#x3067;&#x3059;&#x304C;&#x3001;&#x8003;&#x3048;&#x308B;&#x91CF;&#x306F;&#x534A;&#x5206;&#x306B;&#x3067;&#x304D;&#x305F;&#x3068;&#x601D;&#x3044;&#x307E;&#x3059;&#x3002;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="python%E3%81%AEset%E3%81%A7%E3%82%A4%E3%82%B1%E3%82%93%E3%81%98%E3%82%83%E3%81%AD%EF%BC%9F">python&#x306E;<code>set</code>&#x3067;&#x30A4;&#x30B1;&#x3093;&#x3058;&#x3083;&#x306D;&#xFF1F;</h3>
<p>&#x3055;&#x3089;&#x306B;&#x89E3;&#x8AAC;&#x3067;&#x306F;C++&#x306E;&#x9806;&#x5E8F;&#x4ED8;&#x304D;&#x96C6;&#x5408;&#x578B;&#x3067;&#x3042;&#x308B;<code>std::set</code>&#x3092;&#x4F7F;&#x3063;&#x3066;&#x307E;&#x3059;&#x3002;<br>
python&#x306E;<code>set</code>&#x306F;<a href="https://docs.python.org/ja/3/library/stdtypes.html#:~:text=%E3%82%B3%E3%83%AC%E3%82%AF%E3%82%B7%E3%83%A7%E3%83%B3%E3%81%AB%E3%81%AF%E9%A0%86%E5%BA%8F%E3%81%8C%E3%81%AA%E3%81%84%E3%81%AE%E3%81%A7%E3%80%81%E9%9B%86%E5%90%88%E3%81%AF%E6%8C%BF%E5%85%A5%E3%81%AE%E9%A0%86%E5%BA%8F%E3%82%84%E8%A6%81%E7%B4%A0%E3%81%AE%E4%BD%8D%E7%BD%AE%E3%82%92%E8%A8%98%E9%8C%B2%E3%81%97%E3%81%BE%E3%81%9B%E3%82%93%E3%80%82">&#x9806;&#x5E8F;&#x3092;&#x4FDD;&#x6301;&#x3057;&#x306A;&#x3044;</a>(&#x3061;&#x306A;&#x307F;&#x306B;<code>dict</code>&#x306F;<a href="https://docs.python.org/ja/3/library/stdtypes.html#:~:text=%E3%83%90%E3%83%BC%E3%82%B8%E3%83%A7%E3%83%B3%203.7%20%E3%81%A7%E5%A4%89%E6%9B%B4%3A%20%E8%BE%9E%E6%9B%B8%E3%81%AE%E9%A0%86%E5%BA%8F%E3%81%8C%E6%8C%BF%E5%85%A5%E9%A0%86%E5%BA%8F%E3%81%A7%E3%81%82%E3%82%8B%E3%81%93%E3%81%A8%E3%81%8C%E4%BF%9D%E8%A8%BC%E3%81%95%E3%82%8C%E3%82%8B">&#x633F;&#x5165;&#x9806;&#x3092;&#x4FDD;&#x6301;</a>&#x3059;&#x308B;)&#x306E;&#x3067;&#x540C;&#x3058;&#x3088;&#x3046;&#x306B;&#x306F;&#x4F7F;&#x3048;&#x306A;&#x3044;&#x306A;&#x3041;&#x3068;&#x601D;&#x3044;&#x3064;&#x3064;&#x30C0;&#x30E1;&#x5143;&#x3067;&#x8A66;&#x3057;&#x3066;&#x307F;&#x305F;&#x3089;AC&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<py-cell>def D():
    N, Q = map(int, input().split())

    call = 1
    called_no_gone = set()

    for _ in range(Q):
        ev, *x = input().split()
        if ev == &quot;1&quot;:
            called_no_gone.add(call)
            call += 1
        elif ev == &quot;2&quot;:
            called_no_gone.remove(int(x[0]))
        else:
            print(next(iter(called_no_gone)))</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40008022">#40008022</a></p>
<p>&#x30BD;&#x30FC;&#x30B9;&#x4E0D;&#x660E;&#x3067;&#x3059;&#x304C;&#x3001;<a href="https://stackoverflow.com/questions/61414947/why-dont-python-sets-preserve-insertion-order#:~:text=PyPy%20does%20use%20the%20same%20ordering%20for%20both%20dict%20and%20set%20since%202.7.">PyPy&#x306E;<code>set</code>&#x5B9F;&#x88C5;&#x3067;&#x306F;&#x633F;&#x5165;&#x9806;&#x3092;&#x4FDD;&#x6301;&#x3059;&#x308B;</a>&#x3063;&#x307D;&#x3044;&#x3067;&#x3059;&#x3002;<br>
&#x3042;&#x304F;&#x307E;&#x3067;&#x201C;&#x633F;&#x5165;&#x9806;&#x201D;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x672C;&#x554F;&#x3067;&#x306F;&#x305D;&#x306E;&#x633F;&#x5165;&#x9806;&#x304C;&#x6570;&#x5B57;&#x306E;&#x30BD;&#x30FC;&#x30C8;&#x9806;&#x3068;&#x540C;&#x3058;&#x306A;&#x306E;&#x3067;AC&#x3057;&#x305F;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x306A;&#x3093;&#x3067;&#x3057;&#x3087;&#x3046;&#x306D;&#x3002;</p>
<p>&#x5B9F;&#x88C5;&#x4F9D;&#x5B58;&#x306E;AC&#x306A;&#x306E;&#x3067;&#x6C34;&#x7269;&#x3067;&#x3059;&#x304C;&#x3001;&#x4E00;&#x5FDC;&#x8A18;&#x9332;&#x3068;&#x3057;&#x3066;&#x7F6E;&#x3044;&#x3066;&#x304A;&#x304D;&#x307E;&#x3059;&#x3002;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%E2%91%A1">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#x2461;</h3>
<p>&#x3055;&#x3089;&#x306B;&#x89E3;&#x8AAC;&#x3067;&#x306F;$O(N + Q)$&#x306E;&#x89E3;&#x6CD5;&#x304C;&#x7D39;&#x4ECB;&#x3055;&#x308C;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;<br>
&#x4EE5;&#x4E0B;&#x5199;&#x7D4C;&#x3002;</p>
<p>&#x8AAC;&#x660E;&#x3092;&#x8AAD;&#x3080;&#x3068;&#x300C;&#x305D;&#x308A;&#x3083;&#x305D;&#x3046;&#x3060;&#x300D;&#x3068;&#x3044;&#x3046;&#x5185;&#x5BB9;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x81EA;&#x529B;&#x3067;&#x3053;&#x3053;&#x307E;&#x3067;&#x8FBF;&#x308A;&#x7740;&#x3051;&#x308B;&#x3050;&#x3089;&#x3044;&#x306B;&#x8AAD;&#x89E3;&#x529B;&#x3092;&#x5411;&#x4E0A;&#x3055;&#x305B;&#x305F;&#x3044;&#x2026;</p>
<py-cell>def D():
    N, Q = map(int, input().split())

    gone = [False] * (N + 1)
    ans = 1

    for _ in range(Q):
        ev, *x = input().split()
        if ev == &quot;1&quot;:
            pass
        elif ev == &quot;2&quot;:
            gone[int(x[0])] = True
        else:
            while gone[ans]: ans += 1
            print(ans)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40012269">#40012269</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%202xN%20Grid"><a href="https://atcoder.jp/contests/abc294/tasks/abc294_e">E - 2xN Grid</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_4">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;8 4 3
1 2
3 2
2 3
3 1
1 4
2 1
3 3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;4
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;10000000000 1 1
1 10000000000
1 10000000000
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;10000000000
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1000 4 7
19 79
33 463
19 178
33 280
19 255
33 92
34 25
19 96
12 11
19 490
33 31
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;380
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_3">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30E9;&#x30F3;&#x30EC;&#x30F3;&#x30B0;&#x30B9;&#x5727;&#x7E2E;&#x3068;&#x3044;&#x3046;&#x3084;&#x3064;&#x3089;&#x3057;&#x3044;&#x3067;&#x3059;&#x3002;<br>
<a href="https://e-words.jp/w/%E3%83%A9%E3%83%B3%E3%83%AC%E3%83%B3%E3%82%B0%E3%82%B9%E5%9C%A7%E7%B8%AE.html">&#x30E9;&#x30F3;&#x30EC;&#x30F3;&#x30B0;&#x30B9;&#x5727;&#x7E2E;&#xFF08;&#x9023;&#x9577;&#x5727;&#x7E2E; / RLE&#xFF09;&#x3068;&#x306F; - &#x610F;&#x5473;&#x3092;&#x308F;&#x304B;&#x308A;&#x3084;&#x3059;&#x304F; - IT&#x7528;&#x8A9E;&#x8F9E;&#x5178; e-Words</a></p>
<p><code>while</code>&#x6587;&#x5185;&#x306E;19&#x884C;&#x76EE;&#x3067;&#x7D76;&#x5BFE;&#x629C;&#x3051;&#x308B;&#x3053;&#x3068;&#x306B;&#x306A;&#x308B;&#x306E;&#x3067;&#x3001;while&#x306E;&#x6761;&#x4EF6;&#x304C;&#x5B9F;&#x8CEA;&#x610F;&#x5473;&#x306A;&#x3044;&#x3042;&#x305F;&#x308A;&#x3001;&#x30A4;&#x30B1;&#x3066;&#x306A;&#x3044;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<py-cell>def E():
    L, N1, N2 = map(int, input().split())

    L1 = [list(map(int, input().split())) for _ in range(N1)]
    L2 = [list(map(int, input().split())) for _ in range(N2)]

    ans = 0

    i1 = 0; i2 = 0;
    r1 = L1[0][1]; r2 = L2[0][1];

    while i1 &lt; N1 and i2 &lt; N2:
      # print(i1, i2, ans)
        if L1[i1][0] == L2[i2][0]:
            ans += min(r1, r2)

        if r1 == r2:
            i1 += 1; i2 += 1;
            if i1 == N1 or i2 == N2: break
            r1 = L1[i1][1]
            r2 = L2[i2][1]
        elif r1 &gt; r2:
            i2 += 1
            r1 -= r2
            r2 = L2[i2][1]
        else:
            i1 += 1
            r2 -= r1
            r1 = L1[i1][1]


    print(ans)   </py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/39875457">#39875457</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc294/editorial/5990">&#x516C;&#x5F0F;&#x89E3;&#x8AAC;</a>&#x306F;&#x610F;&#x5473;&#x4E0D;&#x660E;&#x306A;&#x306E;&#x3067;&#x30B9;&#x30EB;&#x30FC;&#x3057;&#x3066;&#x3001;<a href="https://atcoder.jp/contests/abc294/editorial/6008">&#x7D20;&#x6734;&#x306A;&#x5B9F;&#x88C5;</a>&#x306E;&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;</p>
<p>&#x8003;&#x3048;&#x65B9;&#x306F;&#x81EA;&#x5206;&#x306E;&#x63D0;&#x51FA;&#x3068;&#x540C;&#x3058;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x300C;&#x300E;&#x5171;&#x901A;&#x90E8;&#x5206;&#x300F;&#x306E;&#x9577;&#x3055;&#x306E;&#x51FA;&#x3057;&#x65B9;&#x300D;&#x304C;&#x30B9;&#x30DE;&#x30FC;&#x30C8;&#x3060;&#x3057;&#x5168;&#x4F53;&#x7684;&#x306B;&#x3082;&#x77ED;&#x304F;&#x30B9;&#x30C3;&#x30AD;&#x30EA;&#x307E;&#x3068;&#x307E;&#x3063;&#x3066;&#x307E;&#x3059;&#x3002;<br>
&#x65E5;&#x672C;&#x8A9E;&#x3067;&#x7406;&#x89E3;&#x3059;&#x308B;&#x3068;&#xFF1A;<code>&#x6BD4;&#x8F03;&#x5BFE;&#x8C61;&#x30D6;&#x30ED;&#x30C3;&#x30AF;&#x3092;&#x542B;&#x3081;&#x305F;&#x5148;&#x982D;&#x304B;&#x3089;&#x306E;&#x9577;&#x3055;&#x306E;&#x77ED;&#x3044;&#x65B9; - &#x6BD4;&#x8F03;&#x5BFE;&#x8C61;&#x30D6;&#x30ED;&#x30C3;&#x30AF;&#x3092;&#x9664;&#x3044;&#x305F;&#x5148;&#x982D;&#x304B;&#x3089;&#x306E;&#x9577;&#x3055;&#x306E;&#x9577;&#x3044;&#x65B9;</code>&#x3002;<br>
&#x3053;&#x308C;&#x3082;&#x3001;&#x8A00;&#x308F;&#x308C;&#x308B;&#x3068;&#x300C;&#x78BA;&#x304B;&#x306B;&#x3002;&#x3002;&#x300D;&#x3068;&#x306A;&#x308B;&#x5185;&#x5BB9;&#x306A;&#x3093;&#x3067;&#x3059;&#x304C;&#x3001;&#x6C17;&#x4ED8;&#x3051;&#x3093;&#x306A;&#x3041;&#xFF5E;&#x1F629;</p>
<p>&#x4EE5;&#x4E0B;&#x5199;&#x7D4C;&#x3002;</p>
<py-cell>def E():
    L, N, M = map(int, input().split())
    A = [list(map(int, input().split())) for i in range(N)]
    B = [list(map(int, input().split())) for i in range(M)]
    ans, i, j, p, q = 0, 0, 0, 0, 0
    while i &lt; N and j &lt; M:
        if A[i][0] == B[j][0]:
            ans += min(p + A[i][1], q + B[j][1]) - max(p, q)
        if p + A[i][1] &lt; q + B[j][1]:
            p += A[i][1]
            i += 1
        else:
            q += B[j][1]
            j += 1
    print(ans)</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="F%20-%20Sugar%20Water%202"><a href="https://atcoder.jp/contests/abc294/tasks/abc294_f">F - Sugar Water 2</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_5">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataF = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 1 1
1 2
4 1
1 4
1 4
3 3
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;50.000000000000000
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;2 2 2
6 4
10 1
5 8
9 6
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;62.500000000000000
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;4 5 10
5 4
1 6
7 4
9 8
2 2
5 6
6 7
5 3
8 1
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;54.166666666666664
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def F():
    pass

test_all(F)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_4">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30C0;&#x30E1;&#x5143;&#x3067;&#x5168;&#x63A2;&#x7D22;&#x3057;&#x305F;&#x3089;&#x3084;&#x3063;&#x3071;&#x308A;&#x30C0;&#x30E1;&#x3067;&#x3057;&#x305F;&#x3002;</p>
<py-cell>def F():
    from itertools import product

    N, M, K = map(int, input().split())
    AB = [list(map(int, input().split())) for _ in range(N)]
    CD = [list(map(int, input().split())) for _ in range(M)]

    c = list()
    for n, m in product(range(N), range(M)):
        c.append((AB[n][0] + CD[m][0]) / (sum(AB[n]) + sum(CD[m])))

    print(sorted(c, reverse=True)[K - 1] * 100)</py-cell>
<py-cell>test_all(F)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/39881266">#39881266</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B_2">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x300C;&#x7B54;&#x3048;&#x3067;&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x300D;&#x3068;&#x3044;&#x3048;&#x3070;<a href="https://atcoder.jp/contests/typical90">&#x7AF6;&#x30D7;&#x30ED;&#x5178;&#x578B; 90 &#x554F;</a>&#x306E;<span style="background: var(--primary-color);"><a href="https://atcoder.jp/contests/typical90/tasks/typical90_a">001 - Yokan Party</a></span>&#x3067;&#x3059;&#x306D;&#xFF01;(&#x30CD;&#x30BF;&#x30D0;&#x30EC;&#x3054;&#x3081;&#x3093;&#xFF01;)<br>
&#x4F55;&#x3092;&#x96A0;&#x305D;&#x3046;&#x3001;&#x3053;&#x306E;&#x30D6;&#x30ED;&#x30B0;&#x3067;<a href="https://arakaki.tokyo/typical90_001/">&#x521D;&#x3081;&#x3066;&#x7AF6;&#x30D7;&#x30ED;&#x306E;&#x8A18;&#x4E8B;&#x3092;&#x66F8;&#x3044;&#x305F;</a>&#x306E;&#x304C;&#x305D;&#x306E;&#x554F;&#x984C;&#x3067;&#x3057;&#x305F;&#x3002;</p>
<p>&#x672C;&#x554F;&#x3067;&#x306F;&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x306E;&#x7740;&#x60F3;&#x3060;&#x3051;&#x3067;&#x306A;&#x304F;&#x3001;&#x5F0F;&#x5909;&#x5F62;&#x3057;&#x3066;&#x300C;&#x4F55;&#x306E;&#x5024;&#x3092;&#x63A2;&#x3059;&#x304B;&#x300D;&#x3068;&#x3044;&#x3046;&#x767A;&#x60F3;&#x304C;&#x30AB;&#x30AE;&#x3060;&#x3063;&#x305F;&#x3088;&#x3046;&#x306B;&#x601D;&#x3044;&#x307E;&#x3059;&#x3002;(&#x79C1;&#x306F;&#x3069;&#x3061;&#x3089;&#x3082;&#x601D;&#x3044;&#x3064;&#x304B;&#x306A;&#x304B;&#x3063;&#x305F;&#x3067;&#x3059;&#x304C;&#x2026;)</p>
<p>&#x3067;&#x3001;<a href="https://atcoder.jp/contests/abc294/editorial/6007">&#x89E3;&#x8AAC;</a>&#x3067;&#x7D39;&#x4ECB;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;&#x306E;&#x304C;<strong>&#x300C;&#x9AD8;&#x6A4B;&#x304F;&#x3093;&#x3068;&#x9752;&#x6728;&#x304F;&#x3093;&#x306E;&#x7802;&#x7CD6;&#x6C34;&#x304C;&#x6FC3;&#x5EA6;$x$&#x306B;&#x5BFE;&#x3057;&#x3066;&#x4F55;&#x30B0;&#x30E9;&#x30E0;&#x7802;&#x7CD6;&#x304C;&#x591A;&#x3044;&#x304B;&#x300D;&#x3068;&#x3044;&#x3046;&#x5024;</strong>&#x3092;&#x63A2;&#x3059;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3002;<br>
&#x4F8B;&#x3048;&#x3070;&#x3001;&#x9AD8;&#x6A4B;&#x304F;&#x3093;&#x306E;&#x7802;&#x7CD6;&#x6C34;$\alpha$&#x306F;&#x6FC3;&#x5EA6;$x$&#x306B;&#x5BFE;&#x3057;&#x3066;3&#x30B0;&#x30E9;&#x30E0;&#x7802;&#x7CD6;&#x304C;&#x591A;&#x304F;&#x3001;&#x9752;&#x6728;&#x304F;&#x3093;&#x306E;&#x7802;&#x7CD6;&#x6C34;$\beta$&#x306F;&#x6FC3;&#x5EA6;$x$&#x306B;&#x5BFE;&#x3057;&#x3066;2&#x30B0;&#x30E9;&#x30E0;&#x7802;&#x7CD6;&#x304C;&#x5C11;&#x306A;&#x3044;(-2&#x30B0;&#x30E9;&#x30E0;&#x591A;&#x3044;)&#x3068;&#x3057;&#x305F;&#x3089;&#x3001;&#x7802;&#x7CD6;&#x6C34;$\alpha$&#x3068;$\beta$&#x3092;&#x6DF7;&#x305C;&#x305F;&#x7802;&#x7CD6;&#x6C34;$\gamma$&#x306E;&#x6FC3;&#x5EA6;&#x306F;$x$&#x3088;&#x308A;&#x6FC3;&#x3086;&#x304F;&#x306A;&#x308B;&#x306F;&#x305A;&#x3067;&#x3059;&#x3002;</p>
<p>&#x305D;&#x3057;&#x3066;&#x6C34;$w$&#x30B0;&#x30E9;&#x30E0;&#x304C;&#x4E0E;&#x3048;&#x3089;&#x308C;&#x305F;&#x5834;&#x5408;&#x3001;&#x6FC3;&#x5EA6;$x$&#x306B;&#x306A;&#x308B;&#x305F;&#x3081;&#x306E;&#x7802;&#x7CD6;$s&apos;$&#x306E;&#x91CF;&#x306F;&#x3001;  </p>
<div>$$
\begin{align*}
&amp; \frac{s&apos;}{w + s&apos;} = x \\[10pt]
\Leftrightarrow \;&amp; s&apos; = x(w + s&apos;) \\[10pt]
\Leftrightarrow \;&amp; s&apos;(1 - x) = xw \\[10pt]
\Leftrightarrow \;&amp; s&apos; = \frac{xw}{(1 - x)} \\[10pt]
\end{align*}\\
$$</div>
<p>&#x306A;&#x306E;&#x3067;&#x3001;&#x5F8C;&#x306F;&#x5B9F;&#x969B;&#x306E;&#x7802;&#x7CD6;&#x306E;&#x91CF;&#x304B;&#x3089;$s&apos;$&#x3092;&#x5F15;&#x3051;&#x3070;&#x524D;&#x8FF0;&#x306E;&#x5024;&#x304C;&#x5F97;&#x3089;&#x308C;&#x307E;&#x3059;&#x3002;(&#x3053;&#x3053;&#x307E;&#x3067;&#x66F8;&#x304D;&#x4E0B;&#x3055;&#x306A;&#x3044;&#x3068;&#x79C1;&#x306B;&#x306F;&#x7406;&#x89E3;&#x3067;&#x304D;&#x3093;&#x3068;&#x3067;&#x3059;&#x1F607;)</p>
<p>&#x9AD8;&#x6A4B;&#x304F;&#x3093;&#x304B;&#x9752;&#x6728;&#x304F;&#x3093;&#x306E;&#x4E00;&#x65B9;&#x3067;&#x3053;&#x306E;&#x5024;&#x3092;&#x30BD;&#x30FC;&#x30C8;&#x3057;&#x3066;&#x304A;&#x304D;&#x3001;&#x3082;&#x3046;&#x4E00;&#x65B9;&#x304B;&#x3089;&#x4E8C;&#x5206;&#x63A2;&#x7D22;&#x3067;&#x6DF7;&#x305C;&#x3066;$x$&#x3088;&#x308A;&#x6FC3;&#x3086;&#x304F;&#x306A;&#x308B;&#x672C;&#x6570;&#x3092;&#x6570;&#x3048;&#x308B;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x306A;&#x3093;&#x3067;&#x3059;&#x306D;&#xFF5E;<br>
&#x304B;&#x3057;&#x3053;&#x3063;&#x1F629;</p>
<p>&#x4EE5;&#x4E0B;&#x5199;&#x7D4C;&#x3002;</p>
<py-cell>def F():
    from bisect import bisect

    N, M, K = map(int, input().split())
    AB = [list(map(int, input().split())) for _ in range(N)]
    CD = [list(map(int, input().split())) for _ in range(M)]

    NG = 0
    OK = 1
    
    for i in range(100):
        x = (NG + OK) / 2
        z = x / (1 - x)
        v = sorted([CD[j][0] - CD[j][1] * z for j in range(M)])
        num = 0
        for j in range(N):
            w = AB[j][0] - AB[j][1] * z
            num += M - bisect(v, -w)
            
        if num &lt; K: OK = x
        else: NG = x
            
    print(OK * 100)</py-cell>
<py-cell>test_all(F)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc294/submissions/40164296">#40164296</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC293の振り返り(A, B, C, D, E)]]></title><description><![CDATA[<!--kg-card-begin: markdown--><p>&#x5165;&#x7DD1;&#x3057;&#x307E;&#x3057;&#x305F;&#xFF01;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p>
<p>&#x306A;&#x304A;&#x3001;&#x4ECA;&#x56DE;&#x304B;&#x3089;&#x30C6;&#x30B9;&#x30C8;&#x95A2;&#x6570;&#x3092;&#x4FEE;&#x6B63;&#x3057;&#x3066;&#x672C;&#x756A;&#x540C;&#x69D8;<code>input()</code>&#x7B49;&#x3067;&#x5165;&#x529B;&#x3092;&#x53D6;&#x5F97;&#x3059;&#x308B;</p>]]></description><link>https://arakaki.tokyo/abc293/</link><guid isPermaLink="false">64158b81a029b00001286518</guid><category><![CDATA[競プロ]]></category><category><![CDATA[深さ優先探索]]></category><category><![CDATA[DSU]]></category><category><![CDATA[MOD]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 19 Mar 2023 14:51:13 GMT</pubDate><content:encoded><![CDATA[<!--kg-card-begin: markdown--><p>&#x5165;&#x7DD1;&#x3057;&#x307E;&#x3057;&#x305F;&#xFF01;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p>
<p>&#x306A;&#x304A;&#x3001;&#x4ECA;&#x56DE;&#x304B;&#x3089;&#x30C6;&#x30B9;&#x30C8;&#x95A2;&#x6570;&#x3092;&#x4FEE;&#x6B63;&#x3057;&#x3066;&#x672C;&#x756A;&#x540C;&#x69D8;<code>input()</code>&#x7B49;&#x3067;&#x5165;&#x529B;&#x3092;&#x53D6;&#x5F97;&#x3059;&#x308B;&#x3088;&#x3046;&#x306B;&#x3057;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;</p>
<!--kg-card-end: markdown--><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc293"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 293 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>import sys
from io import StringIO

input = lambda: sys.stdin.readline()[:-1]

def test(f, data):
    stdin = sys.stdin
    stdout = sys.stdout
    sys.stdin = StringIO(data[&quot;in&quot;])
    out = StringIO()
    sys.stdout = out
    err = None
    try:
        f()
    except BaseException as e:
        err = e
    else:
        ans = out.getvalue()
        exp = data[&quot;out&quot;]

    sys.stdin = stdin
    sys.stdout = stdout
    if err: raise err
    result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
    print(f&quot;{result}: expected: {exp}, output: {ans}&quot;)
    
def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;), 1):
        print(f&quot;case {i}&quot;)
        test(f, data)
        </py-cell>
<h2 id="A%20-%20Swap%20Odd%20and%20Even"><a href="https://atcoder.jp/contests/abc293/tasks/abc293_a">A - Swap Odd and Even</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>A</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataA = [
    {
        &quot;in&quot;:&quot;abcdef\n&quot;,
        &quot;out&quot;: &quot;badcfe\n&quot;
    },{
        &quot;in&quot;:&quot;aaaa\n&quot;,
        &quot;out&quot;: &quot;aaaa\n&quot;
    },{
        &quot;in&quot;:&quot;atcoderbeginnercontest\n&quot;,
        &quot;out&quot;: &quot;taocedbrgeniencrnoetts\n&quot;
    },
]</py-cell>
<py-cell>def A():
    pass

test_all(A)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x601D;&#x8003;&#x505C;&#x6B62;&#x3067;<a href="https://atcoder.jp/contests/abc293/submissions/39602628">&#x8A2D;&#x554F;&#x306E;&#x307E;&#x307E;&#x5B9F;&#x88C5;</a>&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x632F;&#x308A;&#x8FD4;&#x308B;&#x3068;&#x3001;&#x3053;&#x3093;&#x306A;&#x3084;&#x308A;&#x65B9;&#x3082;&#x3042;&#x3063;&#x305F;&#x306A;&#x3041;&#x3068;&#x3044;&#x3046;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>def A():
    S = input()
    print(*[&quot;&quot;.join(x) for x in zip(S[1::2], S[0::2])], sep=&quot;&quot;)

test_all(A)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39764236">#39764236</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="B%20-%20Call%20the%20ID%20NumberB%20-%20Call%20the%20ID%20Number"><a href="https://atcoder.jp/contests/abc293/tasks/abc293_b">B - Call the ID Number</a><a href="https://atcoder.jp/contests/abc293/tasks/abc293_b">B - Call the ID Number</a></h2>
<p><a href="https://atcoder.jp/contests/abc293/submissions/39608819">#39608819</a><a href="https://atcoder.jp/contests/abc293/submissions/39608819">#39608819</a></p>
<h2 id="C%20-%20Make%20Takahashi%20Happy"><a href="https://atcoder.jp/contests/abc293/tasks/abc293_c">C - Make Takahashi Happy</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 3
3 2 2
2 1 3
1 5 4
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;3
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;10 10
1 2 3 4 5 6 7 8 9 10
11 12 13 14 15 16 17 18 19 20
21 22 23 24 25 26 27 28 29 30
31 32 33 34 35 36 37 38 39 40
41 42 43 44 45 46 47 48 49 50
51 52 53 54 55 56 57 58 59 60
61 62 63 64 65 66 67 68 69 70
71 72 73 74 75 76 77 78 79 80
81 82 83 84 85 86 87 88 89 90
91 92 93 94 95 96 97 98 99 100
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;48620
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def C():
    H, W = map(int, input().split())
    A = [list(map(int, input().split())) for _ in range(H)]

    ans = 0
    print(ans)

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x63D0;&#x51FA;&#x306F;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;<br>
&#x59CB;&#x70B9;&#x304B;&#x3089;&#x7D42;&#x70B9;&#x307E;&#x3067;&#x306E;&#x7D4C;&#x8DEF;&#x3092;&#x300C;&#x5168;&#x3066;&#x306E;&#x79FB;&#x52D5;($MOVE_0, MOVE_1, \dots, MOVE_i, \dots, MOVE_{H + W - 1}$)&#x306E;&#x3046;&#x3061;&#x4E0B;&#x306B;&#x79FB;&#x52D5;&#x3059;&#x308B;$i$&#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x300D;&#x3067;&#x5168;&#x63A2;&#x7D22;&#x3057;&#x307E;&#x3059;&#x3002;</p>
<py-cell>from itertools import combinations

def C():
    H, W = map(int, input().split())
    A = [list(map(int, input().split())) for _ in range(H)]

    ans = 0
    for com in combinations(range(H + W - 2), r=H - 1):
        route = [True] * (H + W - 2)
        for c in com: route[c] = False
        h = 0
        w = 0
        numbers = set([A[h][w]])
        for nxt in route:
            if nxt: w += 1
            else: h += 1
            numbers.add(A[h][w])

        if len(numbers) == H + W - 1: ans += 1
        # print(numbers)

    print(ans)


test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39618916">#39618916</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x4E0A;&#x306E;&#x5B9F;&#x88C5;&#x3067;&#x3082;&#x307E;&#x3041;&#x307E;&#x3041;&#x3044;&#x3044;&#x3068;&#x601D;&#x3046;&#x3093;&#x3067;&#x3059;&#x304C;&#x3001;&#x5F37;&#x3044;&#x3066;&#x6319;&#x3052;&#x308B;&#x3068;&#x79FB;&#x52D5;&#x306E;<code>route</code>&#x914D;&#x5217;&#x3092;&#x4F5C;&#x308B;&#x51E6;&#x7406;(9, 10&#x884C;&#x76EE;)&#x304C;&#x306A;&#x3093;&#x304B;&#x91CE;&#x66AE;&#x3063;&#x305F;&#x3044;&#x3067;&#x3059;&#x3002;<br>
&#x4ED6;&#x306E;&#x4EBA;&#x306E;&#x63D0;&#x51FA;&#x3092;&#x898B;&#x308B;&#x3068;&#x518D;&#x5E30;DFS&#x304C;&#x591A;&#x304B;&#x3063;&#x305F;&#x306E;&#x3067;&#x3001;&#x518D;&#x5E30;&#x3057;&#x306A;&#x3044;&#x30EB;&#x30FC;&#x30D7;DFS&#x3067;&#x5B9F;&#x88C5;&#x3057;&#x3066;&#x307F;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;  </p>
<p>&#x3053;&#x308C;&#x306A;&#x3089;&#x30EB;&#x30FC;&#x30C8;&#x306E;&#x9014;&#x4E2D;&#x3067;&#x300C;&#x5B09;&#x3057;&#x304F;&#x306A;&#x3044;&#x300D;&#x3053;&#x3068;&#x304C;&#x5206;&#x304B;&#x308C;&#x3070;&#x4EE5;&#x964D;&#x306E;&#x63A2;&#x7D22;&#x3092;&#x7701;&#x7565;&#x3067;&#x304D;&#x307E;&#x3059;&#x306D;&#x3002;</p>
<py-cell>def C():
    H, W = map(int, input().split())
    A = [list(map(int, input().split())) for _ in range(H)]
    
    nums = [None] * (H + W - 1)
    ans = 0
    
    st = [(0, 0)]
    while st:
        h, w = st.pop()
        if A[h][w] in nums[:h + w]: continue
        nums[h + w] = A[h][w]
        if h + w == H + W - 2:
            ans += 1
        else:
            if h &lt; H - 1: st.append((h + 1, w))
            if w &lt; W - 1: st.append((h, w + 1))
            
    print(ans)


test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39772336">#39772336</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Tying%20RopeD%20-%20Tying%20Rope"><a href="https://atcoder.jp/contests/abc293/tasks/abc293_d">D - Tying Rope</a><a href="https://atcoder.jp/contests/abc293/tasks/abc293_d">D - Tying Rope</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:&quot;&quot;&quot;5 3
3 R 5 B
5 R 3 B
4 R 2 B
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;1 2
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;7 0
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;0 7
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;7 6
5 R 3 R
7 R 4 R
4 B 1 R
2 R 3 B
2 B 5 B
1 B 7 B
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;2 1
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D():
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x9023;&#x7D50;&#x6210;&#x5206;&#x3001;&#x30B5;&#x30A4;&#x30AF;&#x30EB;&#x3001;&#x3068;&#x8A00;&#x3048;&#x3070;&#x3082;&#x306F;&#x3084;&#x304A;&#x306A;&#x3058;&#x307F;DSU&#x3067;&#x3059;&#x306D;&#x3002;</p>
<py-cell>from collections import defaultdict
class DSU():
    def __init__(self, n=None):
        self.dsu = defaultdict(lambda: -1)
        if n: 
            for i in range(n): self.dsu[i]
    
    def leader(self, i):
        if self.dsu[i] &lt; 0: return i
        self.dsu[i] = self.leader(self.dsu[i])
        return self.dsu[i]
 
    def merge(self, i, j):
        &apos;&apos;&apos;&#x30B5;&#x30A4;&#x30BA;&#x306E;&#x5927;&#x304D;&#x3044;&#x65B9;(x)&#x306B;&#x5C0F;&#x3055;&#x3044;&#x65B9;(y)&#x3092;&#x30DE;&#x30FC;&#x30B8;&apos;&apos;&apos;
        if i == j: return
        x = self.leader(i)
        y = self.leader(j)
        if x == y: return
 
        if self.dsu[x] &gt; self.dsu[y]: x, y = y, x
 
        self.dsu[x] += self.dsu[y]
        self.dsu[y] = x
    
    def members(self, i):
        l = self.leader(i)
        return [k for k, v in self.dsu.items() if self.leader(k) == l]
    
    def __len__(self):
        return len([1 for v in self.dsu.values() if v &lt; 0])</py-cell>
<py-cell>def D():
    N, M = map(int, input().split())
    dsu = DSU(N + 1)

    circle = 0
    for _ in range(M):
        a, _, b, _ = input().split()
        a = int(a)
        b = int(b)
        if dsu.leader(a) == dsu.leader(b):
            circle += 1
        else:
            dsu.merge(a, b)

    leaders = set()
    for i in range(1, N + 1):
        leaders.add(dsu.leader(i))

    print(circle, len(leaders) - circle)


test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39622456">#39622456</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Geometric%20Progression"><a href="https://atcoder.jp/contests/abc293/tasks/abc293_e">E - Geometric Progression</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_4">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:&quot;&quot;&quot;3 4 7
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;5
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;8 10 9
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;0
&quot;&quot;&quot;
    },{
        &quot;in&quot;:&quot;&quot;&quot;1000000000 1000000000000 998244353
&quot;&quot;&quot;,
        &quot;out&quot;: &quot;&quot;&quot;919667211
&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def E():
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_3">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x3046;&#x307E;&#x304F;&#x5F0F;&#x5909;&#x5F62;&#x3067;&#x304D;&#x305A;&#x306B;&#x7D42;&#x4E86;&#x3068;&#x306A;&#x308A;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x300C;&#x5F0F;&#x5909;&#x5F62;&#x300D;&#x304C;&#x3069;&#x308C;&#x3050;&#x3089;&#x3044;&#x306E;&#x30EC;&#x30D9;&#x30EB;&#x3060;&#x3063;&#x305F;&#x304B;&#x3068;&#x3044;&#x3046;&#x3068;&#x3001;&#x7B49;&#x6BD4;&#x6570;&#x5217;&#x306E;&#x548C;&#x306E;&#x516C;&#x5F0F;&#x304C;&#x5206;&#x304B;&#x3089;&#x306A;&#x3044;&#x3001;&#x3068;&#x3044;&#x3046;&#x304B;&#x3053;&#x308C;&#x304C;&#x7B49;&#x6BD4;&#x6570;&#x5217;&#x3060;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x306B;&#x3082;&#x6C17;&#x4ED8;&#x304B;&#x306A;&#x3044;&#x30EC;&#x30D9;&#x30EB;&#x3067;&#x3057;&#x305F;...&#x1F607;  </p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#xFF01;&#x7B49;&#x6BD4;&#x6570;&#x5217;&#x3067;&#x3059;&#x3088;&#x3002;</p>
<p>$$
\sum^{X - 1}_{i = 1}A^i = \frac{A^X - 1}{A - 1}
$$</p>
<p>&#x3053;&#x3093;&#x306A;&#x3093;&#x4F59;&#x88D5;&#x3084;&#x3093;&#xFF01;</p>
<py-cell>def E():
    A, X, M = map(int, input().split())

    Ax = 1
    Ae = A
    while X:
        if X &amp; 1:
            Ax = Ax * Ae % M
        X &gt;&gt;= 1
        Ae = Ae * Ae % M

    # print(Ax, pow(A - 1, -1, M))
    print((Ax - 1) * pow(A - 1, -1, M) % M)


test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39787192">#39787192</a></p>
<p>RE x 18 &#x1F62D;<br>
&#x306A;&#x305C;&#x30FB;&#x30FB;&#x30FB;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%E2%91%A0">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#x2460;</h3>
<p><a href="https://atcoder.jp/users/kyopro_friends">kyopro_friends</a>&#x3055;&#x3093;&#x306E;<a href="https://atcoder.jp/contests/abc293/editorial/5966">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;  </p>
<blockquote>
<p>&#x5270;&#x4F59;&#x306E;&#x6CD5;$M$&#x3068;&#x4E92;&#x3044;&#x306B;&#x7D20;&#x3068;&#x306F;&#x9650;&#x3089;&#x306A;&#x3044;&#x6570;$K$&#x3067;&#x9664;&#x7B97;&#x3092;&#x884C;&#x3044;&#x305F;&#x3044;&#x5834;&#x5408;&#x3001;$\bmod MK$&#x3067;&#x8A08;&#x7B97;&#x3092;&#x884C;&#x3048;&#x3070;&#x3088;&#x3044;</p>
</blockquote>
<p>&#x4E0A;&#x306E;&#x63D0;&#x51FA;&#x3067;&#x306F;$A - 1$&#x3068;$M$&#x304C;<strong>&#x4E92;&#x3044;&#x306B;&#x7D20;</strong>&#x3067;&#x306A;&#x3044;&#x5834;&#x5408;&#x306B;RE&#x3068;&#x306A;&#x3063;&#x3066;&#x3044;&#x305F;&#x3088;&#x3046;&#x3067;&#x3059;&#x3002;  </p>
<p>&#x3068;&#x3053;&#x308D;&#x3067;&#x300C;$\bmod MK$&#x3067;&#x8A08;&#x7B97;&#x300D;&#x3059;&#x308C;&#x3070;&#x3044;&#x3044;&#x306E;&#x7406;&#x7531;&#x304C;&#x5206;&#x304B;&#x308A;&#x307E;&#x305B;&#x3093;&#x2026;&#x1F914;<br>
&#x3068;&#x7D0D;&#x5F97;&#x3067;&#x304D;&#x305A;&#x306B;&#x30B0;&#x30B0;&#x3063;&#x305F;&#x3089;&#x4E01;&#x5BE7;&#x306B;&#x89E3;&#x8AAC;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;&#x65B9;&#x304C;&#x3044;&#x305F;&#x306E;&#x3067;&#x307E;&#x308B;&#x3063;&#x3068;&#x5F15;&#x7528;&#x3057;&#x307E;&#x3059;&#x3002;<br>
&#x53C2;&#x7167;&#xFF1A;<a href="https://qiita.com/Waaaa1471/items/9b9f231a8b549ef60862#egeometric-progression">&#x3010;AtCoder&#x3011;ABC293 &#x306E;A,B,C,D,E &#x306B;&#x304A;&#x3051;&#x308B; Python&#x89E3;&#x8AAC; - Qiita</a></p>
<div>$$
\begin{align*}
&amp; \frac{b}{a} \equiv q \pmod{p} \\[10pt]
\Leftrightarrow \;&amp; \frac{b}{a} = np + q \\[10pt]
\Leftrightarrow \;&amp; b = nap + aq \\[10pt]
\Leftrightarrow \;&amp; \bf{b \equiv aq \pmod{ap}} \\[10pt]
\Leftrightarrow \;&amp; \bf{q = \frac{b \pmod{ap}}{a}} \\[10pt]
\Leftrightarrow \;&amp; \bf{\frac{b}{a}\pmod{p} = \frac{b \pmod{ap}}{a}} \\[10pt]
\end{align*}\\
$$</div>
<p>&#x306A;&#x308B;&#x307B;&#x3069;&#x3001;&#x5929;&#x624D;&#x304B;&#x3002;<br>
&#x305D;&#x3057;&#x3066;<code>pow</code>&#x95A2;&#x6570;&#x3092;&#x4F7F;&#x3048;&#x3070;&#x7E70;&#x308A;&#x8FD4;&#x3057;2&#x4E57;&#x6CD5;&#x3092;&#x3059;&#x308B;&#x5FC5;&#x8981;&#x3059;&#x3089;&#x306A;&#x3044;&#x3068;&#x306F;&#x2026;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x4EE5;&#x4E0B;&#x89E3;&#x8AAC;&#x306E;&#x307E;&#x3093;&#x307E;&#x3002;</p>
<py-cell>def E():
    A, X, M = map(int, input().split())
    print(X % M if A == 1 else (pow(A, X, M * (A - 1)) - 1) // (A - 1) % M)


test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39831846">#39831846</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%E2%91%A1">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#x2461;</h3>
<p><a href="https://atcoder.jp/users/Kazu1998k">Kazu1998k</a>&#x3055;&#x3093;&#x306E;<a href="https://kazun-kyopro.hatenablog.com/entry/ABC/293/E">&#x89E3;&#x8AAC;</a>&#x3068;<a href="https://atcoder.jp/users/shakayami">shakayami</a>&#x3055;&#x3093;&#x306E;<a href="https://atcoder.jp/contests/abc293/editorial/5972">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;  </p>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x306A;&#x3093;&#x3068;&#x306A;&#x304F;&#x3053;&#x3093;&#x306A;&#x3053;&#x3068;&#x3092;&#x60F3;&#x5B9A;&#x3057;&#x3066;&#x8003;&#x3048;&#x3066;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x3068;&#x8A00;&#x3063;&#x3066;&#x3082;&#x3001;&#x518D;&#x5E30;&#x307E;&#x3067;&#x601D;&#x3044;&#x81F3;&#x3089;&#x306A;&#x3044;&#x6642;&#x70B9;&#x3067;&#x5F8C;&#x51FA;&#x3057;&#x77E5;&#x3063;&#x305F;&#x304B;&#x3076;&#x308A;&#x304C;&#x898B;&#x82E6;&#x3057;&#x3044;&#x3067;&#x3059;&#x306D;&#x2026;</p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;2&#x3064;&#x306E;&#x89E3;&#x8AAC;&#x3092;&#x307E;&#x3068;&#x3081;&#x308B;&#x3068;&#x4EE5;&#x4E0B;&#x306E;&#x3088;&#x3046;&#x306A;&#x611F;&#x3058;&#x3067;&#x3059;&#x3002;</p>
<div>$$
f(A, X) := \sum^{X-1}_{i=0}A^i&#x3068;&#x304A;&#x304F;&#x3002;\\
\begin{align*}
f(A, X) \:\:\:=\:\:\: &amp;
\begin{cases}
    1 &amp; (X = 1)\\
    f(A, X-1) + A^{X-1} &amp; (X \ge 3, X: odd)\\
    (1 + A^{\frac{X}{2}})f(A, \frac{X}{2}) &amp; (X: even)
\end{cases} &amp; (1)\\
&#x307E;&#x305F;&#x306F;&#x3001;\\
f(A, X) \:\:\:=\:\:\: &amp;
\begin{cases}
    1 &amp; (X = 1)\\
    1 + A f(A, X-1) &amp; (X \ge 3, X: odd)\\
    (1 + A)f(A^2, \frac{X}{2}) &amp; (X: even)
\end{cases} &amp; (2)\\
\end{align*}
$$</div>
<p>&#x4EE5;&#x4E0B;&#x3001;&#x81EA;&#x5206;&#x306A;&#x308A;&#x306B;&#x5480;&#x56BC;&#x3057;&#x3066;&#x30B3;&#x30FC;&#x30C7;&#x30A3;&#x30F3;&#x30B0;&#x3057;&#x3066;&#x307F;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;&#x7D50;&#x5C40;<a href="https://atcoder.jp/contests/abc293/editorial/5972">&#x89E3;&#x8AAC; by shakayami</a>&#x306E;&#x5B9F;&#x88C5;&#x4F8B;&#x901A;&#x308A;&#x306B;&#x306A;&#x3063;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x305B;&#x3081;&#x3066;&#x30AA;&#x30EA;&#x30B8;&#x30CA;&#x30EA;&#x30C6;&#x30A3;&#x3092;&#x51FA;&#x305D;&#x3046;&#x3068;<code>pow</code>&#x95A2;&#x6570;&#x7684;&#x306A;&#x30E4;&#x30C4;&#x3092;&#x81EA;&#x4F5C;&#x3057;&#x3066;&#x307F;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;&#x7279;&#x306B;&#x610F;&#x5473;&#x306F;&#x3042;&#x308A;&#x307E;&#x305B;&#x3093;&#x1F607;</p>
<py-cell>from functools import lru_cache

@lru_cache(None)
def exp(base, e, M):
    if e == 1: return base
    ret = base if e &amp; 1 else 1
    e &gt;&gt;= 1
    cnt = 2
    while e:
        if e &amp; 1: ret = ret * exp(base, cnt // 2, M) ** 2 % M
        e &gt;&gt;= 1
        cnt *= 2

    return ret % M


def f1(a, x, M):
    if x == 1: return 1 % M
    elif x % 2: return (f1(a, x - 1, M) + exp(a, x - 1, M)) % M
    else: return ((1 + exp(a, x // 2, M)) * f1(a, x // 2, M)) % M

def f2(a, x, M):
    if x == 1: return 1 % M
    elif x % 2: return (1 + a * f2(a, x - 1, M)) % M
    else: return (1 + a) * f2(a * a % M, x // 2, M) % M</py-cell>
<p>(1)&#x306E;&#x5834;&#x5408;</p>
<py-cell>def E(): 
    A, X, M = map(int, input().split())
    print(f1(A, X, M))

test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39834986">#39834986</a></p>
<p>(2)&#x306E;&#x5834;&#x5408;</p>
<py-cell>def E(): 
    A, X, M = map(int, input().split())
    print(f2(A, X, M))

test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc293/submissions/39834989">#39834989</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC292の振り返り(A, B, C, D, E)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc292"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 292 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name_</py-cell>]]></description><link>https://arakaki.tokyo/abc292/</link><guid isPermaLink="false">640d7a4a9459970001b3e329</guid><category><![CDATA[競プロ]]></category><category><![CDATA[素数]]></category><category><![CDATA[DSU]]></category><category><![CDATA[幅優先探索]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Sun, 12 Mar 2023 07:15:03 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc292"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 292 - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;)):
        exp = data[&quot;out&quot;]
        ans = f(*data[&quot;in&quot;])
        
        result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
        print(f&quot;{i+1} {result}: expected: {exp}, output: {ans}&quot;)</py-cell>
<h2 id="A%20-%20CAPS%20LOCK"><a href="https://atcoder.jp/contests/abc292/tasks/abc292_a">A - CAPS LOCK</a></h2>
<p>&#x63D0;&#x51FA;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39404553">#39404553</a></p>
<h2 id="B%20-%20Yellow%20and%20Red%20Card"><a href="https://atcoder.jp/contests/abc292/tasks/abc292_b">B - Yellow and Red Card</a></h2>
<p>&#x63D0;&#x51FA;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39410010">&#x63D0;&#x51FA; #39410010 - AtCoder Beginner Contest 292</a></p>
<h2 id="C%20-%20Four%20Variables"><a href="https://atcoder.jp/contests/abc292/tasks/abc292_c">C - Four Variables</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:[4],
        &quot;out&quot;: 8
    },{
        &quot;in&quot;:[292],
        &quot;out&quot;: 10886
    },{
        &quot;in&quot;:[19876],
        &quot;out&quot;: 2219958
    },
]</py-cell>
<py-cell>def C(N):
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%EF%BC%9A%24O%28N%20%5Csqrt%7BN%7D%29%24">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#xFF1A;$O(N \sqrt{N})$</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306B;AC&#x3067;&#x304D;&#x305A;&#x2026;<br>
&#x8003;&#x3048;&#x305F;&#x306E;&#x306F;&#x3001;$1 \le AB, CD \le N - 1$&#x3060;&#x304B;&#x3089;$1 \le X \le N - 1$&#x306E;&#x5168;&#x3066;&#x306E;X&#x306B;&#x3064;&#x3044;&#x3066;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3057;&#x3066;&#x3001;&#x7D20;&#x56E0;&#x6570;&#x306E;&#x6570;(X:10&#x306E;&#x5834;&#x5408;&#x3001;<code>2, 5</code>&#x3067;2&#x3064;)&#x3092;$p$&#x3068;&#x3057;&#x305F;&#x3089;$2^p$&#x304C;AB&#x307E;&#x305F;&#x306F;CD&#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x306B;&#x306A;&#x3063;&#x3066;&#x30FB;&#x30FB;&#x30FB;&#x307F;&#x305F;&#x3044;&#x306A;&#x3002;<br>
&#x2193;<br>
&#x3067;&#x3082;&#x3001;&#x305D;&#x3082;&#x305D;&#x3082;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x304C;&#x3060;&#x308B;&#x3044;&#x3057;&#x3001;X:16(=$2 ^ 4$)&#x306E;&#x6642;&#x3063;&#x3066;&#x300C;&#x9078;&#x3076;&#x30FB;&#x9078;&#x3070;&#x306A;&#x3044;&#x300D;&#x3067;AB&#x4F5C;&#x3063;&#x3066;&#x3082;<code>4 &#xD7; 4</code>&#x306B;&#x306A;&#x308B;&#x3088;&#x3046;&#x306A;<code>0101</code>, <code>1100</code>,...&#x307F;&#x305F;&#x3044;&#x306A;&#x306E;&#x3092;&#x91CD;&#x8907;&#x3057;&#x3066;&#x6570;&#x3048;&#x308B;&#x3053;&#x3068;&#x306B;&#x306A;&#x3063;&#x3061;&#x3083;&#x3046;&#x304B;&#x3089;&#x300C;$2^p$&#x304C;AB&#x307E;&#x305F;&#x306F;CD&#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x306B;&#x306A;&#x308B;&#x300D;&#x3063;&#x3066;&#x8003;&#x3048;&#x308B;&#x306E;&#x306F;&#x9593;&#x9055;&#x3063;&#x3066;&#x308B;&#x306A;&#x30FB;&#x30FB;&#x30FB;</p>
<p>&#x7D50;&#x679C;&#x3001;&#x7D50;&#x69CB;&#x306A;&#x6642;&#x9593;&#x3092;&#x4F7F;&#x3063;&#x3066;&#x8003;&#x3048;&#x305F;&#x6319;&#x3052;&#x53E5;&#x3001;&#x3080;&#x3063;&#x3063;&#x3063;&#x3063;&#x305A;&#x30FC;&#x30FC;&#x30FC;&#x30FC;&#x30FC;&#x30FC;&#x30FC;&#x30FC;&#x7121;&#x7406;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#xFF01;&#x3068;&#x306A;&#x3063;&#x3066;&#x98DB;&#x3070;&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;<a href="https://atcoder.jp/contests/abc292/editorial/5872">&#x89E3;&#x8AAC; - AtCoder Beginner Contest 292</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;<br>
&#x6587;&#x7AE0;&#x3060;&#x3051;&#x8AAD;&#x3093;&#x3060;&#x72B6;&#x614B;&#x3067;&#x300C;&#x306A;&#x308B;&#x307B;&#x3069;A&#x3092;&#x6C7A;&#x3081;&#x6253;&#x3063;&#x3066;A&#x2266;B&#x3068;&#x3057;&#x305F;&#x3089;$O(N \sqrt{N})$&#x3067;&#x30A4;&#x30B1;&#x3093;&#x306E;&#x304B;&#x300D;&#x3068;&#x5B9F;&#x88C5;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>from math import ceil, sqrt


def C(N):
    a = [0] * N
    a[1] = 1
    for i in range(2, N):
        for j in range(1, ceil(sqrt(i))):
            if i % j == 0: a[i] += 1
        a[i] *= 2
        if int(sqrt(i)) ** 2 == i: a[i] += 1
    # print(a)
    ans = 0
    for i in range(1, N):
        ans += a[i] * a[N - i]
        
    return ans</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39555777">#39555777</a></p>
<p>AC&#x3084;&#x3063;&#x305F;&#x30FC;<br>
<code>j</code>&#x3067;&#x30A4;&#x30C6;&#x30EC;&#x30FC;&#x30C8;&#x3057;&#x3066;&#x308B;<code>range</code>&#x306E;&#x7D42;&#x70B9;&#x306E;&#x8A2D;&#x5B9A;&#x304C;&#x5206;&#x304B;&#x308A;&#x3065;&#x3089;&#x3044;&#x3067;&#x3059;&#x306D;&#x3002;&#x3002;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%EF%BC%9A--%E7%B4%84%E6%95%B0%E3%81%AE%E5%80%8B%E6%95%B0%E3%82%92%E8%AA%BF%E3%81%B9%E3%82%8B--%24O%28N%20%5Clog%7BN%7D%29%24">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#xFF1A;--&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x3092;&#x8ABF;&#x3079;&#x308B;--$O(N \log{N})$</h3>
<p>&#x3055;&#x3089;&#x306B;&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;</p>
<blockquote>
<p>$AB=X$&#x3092;&#x6E80;&#x305F;&#x3059;&#x6B63;&#x6574;&#x6570;$A,B$&#x306E;&#x500B;&#x6570;&#x306F;$X$&#x306E;&#x6B63;&#x306E;&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x306B;&#x7B49;&#x3057;&#x3044;&#x3067;&#x3059;</p>
</blockquote>
<p>&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x1F632;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;&#x2757;  </p>
<p>&#x305D;&#x3063;&#x304B;&#x2026;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3058;&#x3083;&#x306A;&#x304F;&#x3066;&#x7D04;&#x6570;&#x8ABF;&#x3079;&#x305F;&#x3089;&#x3088;&#x304B;&#x3063;&#x305F;&#x306E;&#x304B;&#x2026;<br>
&#x3093;&#x3067;&#x3001;&#x305D;&#x306E;&#x8A08;&#x7B97;&#x91CF;&#x306F;$\frac{N}{1} + \frac{N}{2} + \dots + \frac{N}{N} = N(\frac{1}{1} + \frac{1}{2} + \dots + \frac{1}{N})$&#x3067;&#x3001;&#x30AB;&#x30C3;&#x30B3;&#x5185;&#x304C;<a href="https://ja.wikipedia.org/wiki/%E8%AA%BF%E5%92%8C%E6%95%B0_(%E7%99%BA%E6%95%A3%E5%88%97)">&#x8ABF;&#x548C;&#x6570;</a>&#x3068;&#x3044;&#x3046;&#x3082;&#x306E;&#x3089;&#x3057;&#x304F;&#x3001;<a href="https://ja.wikipedia.org/wiki/%E8%AA%BF%E5%92%8C%E6%95%B0_(%E7%99%BA%E6%95%A3%E5%88%97)#:~:text=Hn%20%E3%81%AE%E5%A2%97%E5%A4%A7%E5%BA%A6%E3%81%AF%20n%20%E3%81%AE%E8%87%AA%E7%84%B6%E5%AF%BE%E6%95%B0%20ln(n)%20%E3%81%A8%E5%90%8C%E7%A8%8B%E5%BA%A6%E3%81%AE%E9%80%9F%E3%81%95%E3%81%A7%E3%81%82%E3%82%8B%E3%80%82">&#x5897;&#x5927;&#x5EA6;&#x306F; n &#x306E;&#x81EA;&#x7136;&#x5BFE;&#x6570; ln(n) &#x3068;&#x540C;&#x7A0B;&#x5EA6;&#x306E;&#x901F;&#x3055;&#x3067;&#x3042;&#x308B;</a>&#x3088;&#x3046;&#x3067;&#x3059;&#x3002;<br>
&#x3064;&#x307E;&#x308A;$O(N \log{N})$&#x306B;&#x306A;&#x308B;&#x308F;&#x3051;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<p>numpy&#x3092;&#x4F7F;&#x3063;&#x3066;&#x5B9F;&#x88C5;&#x3059;&#x308B;&#x3068;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>import numpy as np

def C(N):
    a = np.ones(N, dtype=int)
    
    for i in range(2, N):
        sli = slice(i, N, i)
        a[sli] += 1
    
    a = a[1:]
    return sum(a * a[::-1])</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39592679">#39592679</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%EF%BC%9A--%E3%82%84%E3%81%A3%E3%81%B1%E3%82%8A%E7%B4%A0%E5%9B%A0%E6%95%B0%E5%88%86%E8%A7%A3%E3%81%99%E3%82%8B--">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#xFF1A;--&#x3084;&#x3063;&#x3071;&#x308A;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3059;&#x308B;--</h3>
<p>&#x3082;&#x3046;&#x4E00;&#x3064;&#x306E;<a href="https://atcoder.jp/contests/abc292/editorial/5912">&#x3088;&#x308A;&#x9AD8;&#x901F;&#x306A;&#x89E3;&#x6CD5;</a>&#x306E;&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x3066;&#x307F;&#x307E;&#x3059;&#x3002;<br>
<strong>&#x7DDA;&#x5F62;&#x7BE9;</strong>&#x3068;&#x306F;&#x306A;&#x3093;&#x305E;&#xFF1F;&#x30A8;&#x30E9;&#x30C8;&#x30B9;&#x30C6;&#x30CD;&#x30B9;&#x306E;&#x7BE9;&#x3068;&#x306F;&#x9055;&#x3046;&#x306E;&#xFF1F;</p>
<p>&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3001;&#x89E3;&#x8AAC;&#x5185;&#x3067;&#x3082;&#x793A;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;<a href="https://twitter.com/rsk0315_h4x">&#x3048;&#x3073;&#x3061;&#x3083;&#x3093;&#x1F351;&#x1F35D;&#x1F983;&#xFF08;@rsk0315_h4x&#xFF09;&#x3055;&#x3093;</a>&#x306E;&#x30E9;&#x30A4;&#x30D6;&#x30E9;&#x30EA;(&#x4E0B;&#x8A18;1.)&#x3084;&#x3001;&#x4F8B;&#x306B;&#x3088;&#x3063;&#x3066;&#x30B0;&#x30B0;&#x3063;&#x305F;&#x3089;&#x30D2;&#x30C3;&#x30C8;&#x3057;&#x305F;&#x3051;&#x3093;&#x3061;&#x3087;&#x3093;&#x3055;&#x3093;&#x306E;&#x8A18;&#x4E8B;(&#x4E0B;&#x8A18;2.)&#x3092;&#x53C2;&#x8003;&#x306B;&#x30AF;&#x30E9;&#x30B9;&#x5316;&#x3057;&#x3066;&#x307F;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<p>&#x304C;&#x3001;&#x7D50;&#x8AD6;&#x3068;&#x3057;&#x3066;&#x306F;<a href="https://37zigen.com/linear-sieve/#i-7:~:text=%E7%B7%9A%E5%BD%A2%E7%AF%A9%E3%81%AE%E9%80%9F%E5%BA%A6%E3%83%BB%E3%83%A1%E3%83%A2%E3%83%AA%E6%B6%88%E8%B2%BB%E9%87%8F%E3%81%A8%E3%82%82%E3%81%AB%E3%82%A8%E3%83%A9%E3%83%88%E3%82%B9%E3%83%86%E3%83%8D%E3%82%B9%E3%81%AE%E7%AF%A9%E3%81%AB%E5%8F%8A%E3%81%B3%E3%81%BE%E3%81%9B%E3%82%93">37zigen&#x3055;&#x3093;&#x304C;&#x8A00;&#x53CA;&#x3057;&#x3066;&#x3044;&#x308B;</a>&#x3068;&#x304A;&#x308A;&#x30A8;&#x30E9;&#x30C8;&#x30B9;&#x30C6;&#x30CD;&#x30B9;&#x306E;&#x7BE9;&#x306E;&#x65B9;&#x304C;&#x9AD8;&#x901F;&#x306A;&#x305F;&#x3081;&#x3001;<strong>&#x300C;&#x6700;&#x5C0F;&#x306E;&#x7D20;&#x56E0;&#x6570;&#x3092;&#x6C42;&#x3081;&#x308B;&#x300D;</strong>&#x3068;&#x3044;&#x3046;&#x30A2;&#x30A4;&#x30C7;&#x30A3;&#x30A2;&#x3068;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3084;&#x7D04;&#x6570;&#x5217;&#x6319;&#x306E;&#x8003;&#x3048;&#x65B9;&#x30FB;&#x5B9F;&#x88C5;&#x306E;&#x307F;&#x63F4;&#x7528;&#x3057;&#x3066;&#x3044;&#x307E;&#x3059;&#x3002;<br>
&#x7D50;&#x5C40;&#x3001;&#x7DDA;&#x5F62;&#x7BE9;&#x306F;$O(N)$&#x3067;&#x3059;&#x304C;&#x30A8;&#x30E9;&#x30C8;&#x30B9;&#x30C6;&#x30CD;&#x30B9;&#x306E;&#x7BE9;$O(N \log\log{N})$(<a href="https://qiita.com/drken/items/3beb679e54266f20ab63#3-%E3%82%A8%E3%83%A9%E3%83%88%E3%82%B9%E3%83%86%E3%83%8D%E3%82%B9%E3%81%AE%E7%AF%A9%E3%81%AE%E8%A8%88%E7%AE%97%E9%87%8F">&#x53C2;&#x7167;</a>)&#x306E;&#x65B9;&#x304C;&#x9AD8;&#x901F;&#x3067;&#x3001;&#x300C;&#x5404;i&#x304C;lpf(i)&#x3067;&#x4F55;&#x56DE;&#x5272;&#x308A;&#x5207;&#x308C;&#x308B;&#x304B;&#x300D;&#x3082;&#x524D;&#x51E6;&#x7406;&#x3068;&#x3057;&#x3066;$O(N)$&#x3067;&#x6C42;&#x3081;&#x3066;&#x304A;&#x304F;&#x3053;&#x3068;&#x3067;(&#x4E0B;&#x8A18;41&#x884C;~)&#x3001;i&#x306E;&#x6607;&#x9806;&#x306B;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3092;$O(1)$&#x3067;&#x5F97;&#x3089;&#x308C;&#x308B;&#x3053;&#x3068;&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;<br>
&#x305D;&#x3057;&#x3066;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x304C;&#x5206;&#x304B;&#x3063;&#x3066;&#x3044;&#x308C;&#x3070;&#x3001;&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x306F;&#x7C21;&#x5358;&#x306B;&#x8A08;&#x7B97;&#x3067;&#x304D;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3059;&#x3002;(<a href="https://qiita.com/drken/items/a14e9af0ca2d857dad23#5-1-%E7%B4%84%E6%95%B0%E3%81%AE%E5%80%8B%E6%95%B0-%E5%95%8F%E9%A1%8C-5">&#x53C2;&#x7167;</a>)</p>
<blockquote>
<p>&#x4E00;&#x822C;&#x306B;$N = p_{1}^{e_{1}} p_{2}^{e_{2}} \dots p_{K}^{e_{K}}$&#x3068;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3067;&#x304D;&#x308B;&#x3068;&#x304D;&#x3001;&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x306F;$(e_{1} + 1)(e_{2} + 1) \dots (e_{K} + 1) &#x500B;$&#x3068;&#x306A;&#x308A;&#x307E;&#x3059;&#x3002;</p>
</blockquote>
<p>&#x300C;&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x3092;&#x6C42;&#x3081;&#x308B;&#x305F;&#x3081;&#x306B;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3059;&#x308B;&#x300D;&#x3068;&#x3044;&#x3046;&#x7740;&#x60F3;&#x81EA;&#x4F53;&#x306F;&#x3001;(&#x3051;&#x3093;&#x3061;&#x3087;&#x3093;&#x3055;&#x3093;&#x306E;&#x6307;&#x6458;&#x901A;&#x308A;&#x30AA;&#x30FC;&#x30D0;&#x30FC;&#x30AD;&#x30EB;&#x3060;&#x3068;&#x3057;&#x3066;&#x3082;)&#x9593;&#x9055;&#x3063;&#x3066;&#x306A;&#x304B;&#x3063;&#x305F;&#x3093;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<p>&#x3061;&#x306A;&#x307F;&#x306B;&#x3001;&#x7DDA;&#x5F62;&#x7BE9;&#x3068;&#x3044;&#x3046;&#x30AD;&#x30FC;&#x30EF;&#x30FC;&#x30C9;&#x3060;&#x3051;&#x3067;&#x6A2A;&#x9053;&#x306B;&#x9038;&#x308C;&#x305F;&#x7D50;&#x679C;&#x3001;&#x3082;&#x3068;&#x306E;<a href="https://atcoder.jp/contests/abc292/editorial/5912">&#x89E3;&#x8AAC;</a>&#x3068;&#x306F;&#x3082;&#x306F;&#x3084;&#x5225;&#x7269;&#x3067;&#x3059;&#x3002;(&#x3068;&#x3044;&#x3046;&#x304B;&#x3001;&#x89E3;&#x8AAC;&#x3092;&#x3088;&#x304F;&#x5206;&#x304B;&#x3063;&#x3066;&#x306A;&#x3044;&#x3002;)</p>
<p>&#x53C2;&#x8003;&#x1F50E;  </p>
<ol>
<li><a href="https://rsk0315.github.io/library-rs/nekolib/math/struct.LinearSieve.html">LinearSieve in nekolib::math - Rust</a><ul>
<li><a href="https://rsk0315.github.io/library-rs/src/nekolib/math/linear_sieve.rs.html">linear_sieve.rs - source</a></li>
</ul>
</li>
<li>&#x3051;&#x3093;&#x3061;&#x3087;&#x3093;&#x3055;&#x3093;&#x306E;&#x8A18;&#x4E8B;<ul>
<li><a href="https://qiita.com/drken/items/3beb679e54266f20ab63">&#x30A8;&#x30E9;&#x30C8;&#x30B9;&#x30C6;&#x30CD;&#x30B9;&#x306E;&#x7BE9;&#x306E;&#x6D3B;&#x7528;&#x6CD5;&#x3092;&#x7DCF;&#x7279;&#x96C6;&#xFF01; &#x301C; &#x9AD8;&#x901F;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x30FB;&#x30E1;&#x30D3;&#x30A6;&#x30B9;&#x306E;&#x53CD;&#x8EE2;&#x516C;&#x5F0F; &#x301C; - Qiita</a><ul>
<li>&#x7DDA;&#x5F62;&#x7BE9;&#x306B;&#x3064;&#x3044;&#x3066;&#xFF1A;<a href="https://37zigen.com/linear-sieve/">&#x7DDA;&#x5F62;&#x7BE9; &#x2013; 37zigen&#x306E;HP</a></li>
<li>&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#xFF1A;<a href="https://qiita.com/drken/items/3beb679e54266f20ab63#4-1-%E9%AB%98%E9%80%9F%E7%B4%A0%E5%9B%A0%E6%95%B0%E5%88%86%E8%A7%A3">4-1. &#x9AD8;&#x901F;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;</a></li>
<li>&#x7D04;&#x6570;&#x5217;&#x6319;&#xFF1A;<a href="https://qiita.com/drken/items/3beb679e54266f20ab63#4-2-%E9%AB%98%E9%80%9F%E7%B4%84%E6%95%B0%E5%88%97%E6%8C%99">4-2. &#x9AD8;&#x901F;&#x7D04;&#x6570;&#x5217;&#x6319;</a></li>
</ul>
</li>
<li><a href="https://qiita.com/drken/items/a14e9af0ca2d857dad23">AtCoder &#x7248;&#xFF01;&#x30DE;&#x30B9;&#x30BF;&#x30FC;&#x30FB;&#x30AA;&#x30D6;&#x30FB;&#x6574;&#x6570; (&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x7DE8;) - Qiita</a><ul>
<li>&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x306B;&#x3064;&#x3044;&#x3066;&#xFF1A;<a href="https://qiita.com/drken/items/a14e9af0ca2d857dad23#5-1-%E7%B4%84%E6%95%B0%E3%81%AE%E5%80%8B%E6%95%B0-%E5%95%8F%E9%A1%8C-5">5-1. &#x7D04;&#x6570;&#x306E;&#x500B;&#x6570; (&#x554F;&#x984C; 5)</a></li>
<li>
<blockquote>
<p>&#x3068;&#x3053;&#x308D;&#x3067;&#x3001;&#x7D04;&#x6570;&#x306E;&#x500B;&#x6570;&#x3092;&#x6C42;&#x3081;&#x308B;&#x3060;&#x3051;&#x306A;&#x3089;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x306F;&#x30AA;&#x30FC;&#x30D0;&#x30FC;&#x30AD;&#x30EB;&#x3067;&#x3001;&#x7D04;&#x6570;&#x5217;&#x6319;&#x3067;&#x5341;&#x5206;&#x3067;&#x3059;&#x3002;&#x3057;&#x304B;&#x3057;&#x3001;&#x7D20;&#x56E0;&#x6570;&#x5206;&#x89E3;&#x3067;&#x8003;&#x3048;&#x308B;&#x3053;&#x3068;&#x306B;&#x306F;&#x5927;&#x304D;&#x306A;&#x30E1;&#x30EA;&#x30C3;&#x30C8;&#x304C;&#x3042;&#x308A;&#x307E;&#x3059;&#x3002;&#x305D;&#x308C;&#x306F;&#x300C;&#x7D04;&#x6570;&#x306B;&#x95A2;&#x3059;&#x308B;&#x8003;&#x5BDF;&#x3092;&#x3057;&#x3084;&#x3059;&#x3044;&#x300D;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3059;&#x3002;</p>
</blockquote>
</li>
</ul>
</li>
</ul>
</li>
<li><a href="https://cp-algorithms.com/algebra/prime-sieve-linear.html">Linear Sieve - Algorithms for Competitive Programming</a></li>
</ol>
<py-cell>from enum import Enum
from functools import lru_cache, reduce
from operator import mul
from itertools import product


class Sieve:
    method = Enum(&quot;method&quot;, [&quot;ERATOSTHENES&quot;, &quot;LINEAR&quot;])
    
    
    def __init__(self, n, method=method.ERATOSTHENES):        
        
        if method == self.method.ERATOSTHENES:
            
            primes = [False, False] + [True] * (n - 1)
            self.lpf = list(range(n + 1))
            for p in range(2, int(n ** (1 / 2)) + 1):
                if not primes[p]: continue
                self.lpf[p] = p
                for q in range(p * 2, n + 1, p):
                    primes[q] = False
                    if self.lpf[q]  == q: self.lpf[q] = p

        elif method == self.method.LINEAR:
            
            self.lpf = list(range(n + 1))
            primes = []
            for i in range(2, n + 1):
                if self.lpf[i] == i:
                    primes.append(i)

                lpf_i = self.lpf[i]

                for p in primes:
                    if p &gt; lpf_i or i * p &gt; n: break
                    self.lpf[i * p] = p

        else:
            raise ValueError(f&quot;&apos;method&apos; must be instance of &apos;{self.__class__.__name__}.method&apos;.&quot;)
        
        # &#x5404;i&#x304C;lpf(i)&#x3067;&#x4F55;&#x56DE;&#x5272;&#x308A;&#x5207;&#x308C;&#x308B;&#x304B;
        self.lpf_e = [[1, 0] for _ in range(n + 1)]
        
        for i in range(2, n + 1):
            p = self.lpf[i]
            j = i // p
            self.lpf_e[i] = (
                [self.lpf_e[j][0] * p, self.lpf_e[j][1] + 1]
                if self.lpf[j] == p else
                [self.lpf[i], 1]
            )
    
    
    @lru_cache(None)
    def factors(self, n):
        lpfs = [(self.lpf[n], self.lpf_e[n][1])]
        if self.lpf_e[n][0] == n:
            return lpfs
        else:
            return lpfs + self.factors(n // self.lpf_e[n][0])
    
    
    @lru_cache(None)
    def divisors(self, n):
        if n == 1:
            return [1]
        elif self.lpf[n] == n:
            return [1, n]
        else:
            return sorted([
                a * b for a, b 
                in product(
                    self.divisors(n // self.lpf_e[n][0]), 
                    [self.lpf[n] ** i for i in range(self.lpf_e[n][1] + 1)]
                )
            ])

        
    def divisors_count(self, n):
        return reduce(mul, [e + 1 for _, e in self.factors(n)])
        </py-cell>
<py-cell>def C(N):
    s = Sieve(N)
    return sum(s.divisors_count(N - i) * s.divisors_count(i) for i in range(1, N))</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39594096">#39594096</a>(&#x7DDA;&#x5F62;&#x7BE9;&#x306E;&#x5834;&#x5408;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39594745">#39594745</a>)</p>
<p>&#x304A;&#x3049;&#x3001;&#x5B9F;&#x884C;&#x6642;&#x9593;&#x304C;&#x5371;&#x306A;&#x3063;&#x304B;&#x3057;&#x3044;&#x3068;&#x3053;&#x308D;&#x3067;&#x3059;&#x304C;&#x7121;&#x4E8B;AC&#x3002;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Unicyclic%20Components"><a href="https://atcoder.jp/contests/abc292/tasks/abc292_d">D - Unicyclic Components</a></h2>
<p><img alt 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<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:[3, 3, [[2, 3], [1, 1], [2, 3]]],
        &quot;out&quot;: &quot;Yes&quot;
    },{
        &quot;in&quot;:[5, 5, [[1, 2], [2, 3], [3, 4], [3, 5], [1, 5]]],
        &quot;out&quot;: &quot;Yes&quot;
    },{
        &quot;in&quot;:[13, 16, [[7, 9], [7, 11], [3, 8], [1, 13], [11, 11], [6, 11], [8, 13], [2, 11], [3, 3], [8, 12], [9, 11], [1, 11], [5, 13], [3, 12], [6, 9], [1, 10]]],
        &quot;out&quot;: &quot;No&quot;
    },
]</py-cell>
<py-cell>def D(N, M, uv):
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%E2%91%A0">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#x2460;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x304A;&#x99B4;&#x67D3;&#x307F;&#x306E;<a href="https://arakaki.tokyo/tag/dsu/">DSU</a>&#x30AF;&#x30E9;&#x30B9;&#x3092;&#x3001;&#x9023;&#x7D50;&#x6210;&#x5206;&#x306E;&#x6570;&#x3067;&#x306F;&#x306A;&#x304F;&#x8FBA;&#x306E;&#x6570;&#x3092;&#x6301;&#x3064;&#x3088;&#x3046;&#x306B;&#x5909;&#x66F4;&#x3092;&#x52A0;&#x3048;&#x308B;&#x3053;&#x3068;&#x3067;<a href="https://atcoder.jp/contests/abc292/submissions/39435920">AC</a>&#x306B;&#x81F3;&#x308A;&#x307E;&#x3057;&#x305F;&#x304C;&#x3001;&#x305D;&#x306E;&#x904E;&#x7A0B;&#x3067;2WA&#x3068;&#x306A;&#x3063;&#x3066;&#x3057;&#x307E;&#x3044;&#x307E;&#x3057;&#x305F;&#x1F607;  </p>
<p><a href="https://atcoder.jp/contests/abc292/editorial/5873">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;&#x3042;&#x3063;&#x3001;&#x305D;&#x3093;&#x306A;&#x9762;&#x5012;&#x306A;&#x3053;&#x3068;&#x305B;&#x305A;&#x3068;&#x3082;DSU&#x30AF;&#x30E9;&#x30B9;&#x306E;&#x307E;&#x307E;&#x3067;&#x30A4;&#x30B1;&#x305F;&#x3093;&#x3084;&#x2026;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>from collections import defaultdict
class DSU():
    def __init__(self, n=None):
        self.dsu = defaultdict(lambda: -1)
        if n: 
            for i in range(n): self.dsu[i]
    
    def leader(self, i):
        if self.dsu[i] &lt; 0: return i
        self.dsu[i] = self.leader(self.dsu[i])
        return self.dsu[i]
 
    def merge(self, i, j):
        &apos;&apos;&apos;&#x30B5;&#x30A4;&#x30BA;&#x306E;&#x5927;&#x304D;&#x3044;&#x65B9;(x)&#x306B;&#x5C0F;&#x3055;&#x3044;&#x65B9;(y)&#x3092;&#x30DE;&#x30FC;&#x30B8;&apos;&apos;&apos;
        if i == j: return
        x = self.leader(i)
        y = self.leader(j)
        if x == y: return
 
        if self.dsu[x] &gt; self.dsu[y]: x, y = y, x
 
        self.dsu[x] += self.dsu[y]
        self.dsu[y] = x
    
    def members(self, i):
        l = self.leader(i)
        return [k for k, v in self.dsu.items() if self.leader(k) == l]
    
    def __len__(self):
        return len([1 for v in self.dsu.values() if v &lt; 0])</py-cell>
<py-cell>def D(N, M, uv):
    dsu = DSU(N + 1)
    for i in uv:
        dsu.merge(*i)

    edge = defaultdict(int)
    for u, v in uv:
        edge[dsu.leader(u)] += 1
        
    for l, e in edge.items():
        if abs(dsu.dsu[l]) != e: return &quot;No&quot;
    
    return &quot;Yes&quot; if len(uv) == N else &quot;No&quot;</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39661034">#39661034</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B%E2%91%A1">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;&#x2461;</h3>
<p><a href="https://atcoder.jp/contests/abc292/editorial/5942">&#x30E6;&#x30FC;&#x30B6;&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;</p>
<blockquote>
<p>&#x7B54;&#x3048;&#x306F;&#x3001;$N=M$&#x304B;&#x3064;&#x3059;&#x3079;&#x3066;&#x306E;&#x9023;&#x7D50;&#x6210;&#x5206;&#x304C;&#x30B5;&#x30A4;&#x30AF;&#x30EB;&#x3092;&#x6301;&#x3064;&#x3053;&#x3068;&#x3067;&#x3059;&#x3002;</p>
</blockquote>
<p>&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x8D85;&#x9802;&#x70B9;&#x3092;&#x5C0E;&#x5165;&#x3057;&#x3001;&#x30B5;&#x30A4;&#x30AF;&#x30EB;&#x304C;&#x3067;&#x304D;&#x305F;&#x3089;&#x8D85;&#x9802;&#x70B9;&#x3068;&#x7E4B;&#x3050;&#x3068;&#x306E;&#x3053;&#x3068;&#x3002;<br>
&#x5B9F;&#x88C5;&#x3092;&#x898B;&#x308B;&#x3068;&#x3001;<code>UnionFind</code>&#x30AF;&#x30E9;&#x30B9;&#x3067;<code>union</code>&#x30E1;&#x30BD;&#x30C3;&#x30C9;&#x306E;&#x8FD4;&#x308A;&#x5024;&#x304C;&#x300C;&#x65E2;&#x306B;&#x9023;&#x7D50;&#x6210;&#x5206;&#x304B;&#x3069;&#x3046;&#x304B;&#x300D;&#x3092;&#x8FD4;&#x3057;&#x3066;&#x308B;&#x3063;&#x307D;&#x3044;&#x306E;&#x3067;&#x3001;&#x6211;&#x304C;<code>DSU</code>&#x30AF;&#x30E9;&#x30B9;&#x3067;&#x3082;&#x540C;&#x69D8;&#x306E;&#x6319;&#x52D5;&#x306B;&#x306A;&#x308B;&#x3088;&#x3046;&#x306B;&#x5909;&#x66F4;&#x3092;&#x52A0;&#x3048;&#x3066;(&#x4E0B;&#x8A18;15, 18&#x884C;&#x76EE;)&#x3001;&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>from collections import defaultdict
class DSU():
    def __init__(self, n=None):
        self.dsu = defaultdict(lambda: -1)
        if n: 
            for i in range(n): self.dsu[i]
    
    def leader(self, i):
        if self.dsu[i] &lt; 0: return i
        self.dsu[i] = self.leader(self.dsu[i])
        return self.dsu[i]
 
    def merge(self, i, j):
        &apos;&apos;&apos;&#x30B5;&#x30A4;&#x30BA;&#x306E;&#x5927;&#x304D;&#x3044;&#x65B9;(x)&#x306B;&#x5C0F;&#x3055;&#x3044;&#x65B9;(y)&#x3092;&#x30DE;&#x30FC;&#x30B8;&apos;&apos;&apos;
        # if i == j: return
        x = self.leader(i)
        y = self.leader(j)
        if x == y: return True
 
        if self.dsu[x] &gt; self.dsu[y]: x, y = y, x
 
        self.dsu[x] += self.dsu[y]
        self.dsu[y] = x
    
    def members(self, i):
        l = self.leader(i)
        return [k for k, v in self.dsu.items() if self.leader(k) == l]
    
    def __len__(self):
        return len([1 for v in self.dsu.values() if v &lt; 0])</py-cell>
<py-cell>def D(N, M, uv):
    dsu = DSU(N + 1)
    for u, v in uv:
        if dsu.merge(u, v): dsu.merge(0, u)
    
    return &quot;Yes&quot; if N == M and abs(dsu.dsu[dsu.leader(0)]) == N + 1 else &quot;No&quot;</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39661999">#39661999</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20TransitivityE%20-%20Transitivity"><a href="https://atcoder.jp/contests/abc292/tasks/abc292_e">E - Transitivity</a><a href="https://atcoder.jp/contests/abc292/tasks/abc292_e">E - Transitivity</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:[4, 3, [[2, 4], [3, 1], [4, 3]]],
        &quot;out&quot;: 3
    },{
        &quot;in&quot;:[292, 0, []],
        &quot;out&quot;: 0
    },{
        &quot;in&quot;:[5, 8, [[1, 2], [2, 1], [1, 3], [3, 1], [1, 4], [4, 1], [1, 5], [5, 1]]],
        &quot;out&quot;: 12
    },
]</py-cell>
<py-cell>def E(N, M, uv):
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="try">try</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;BFS&#x3063;&#x307D;&#x3044;&#x5B9F;&#x88C5;&#x3067;&#x611A;&#x76F4;&#x306B;&#x64CD;&#x4F5C;&#x3092;&#x7E70;&#x308A;&#x8FD4;&#x3057;&#x3066;&#x6570;&#x3048;&#x4E0A;&#x3052;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x305D;&#x308C;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>from collections import defaultdict, deque


def E(N, M, uv):
    nxt = set()
    edge = defaultdict(list)
    for u, v in uv:
        edge[u].append(v)
        nxt.add(v)

    ans = 0
    for a in range(1, N + 1):
        q = deque(edge[a])
        while q:
            b = q.popleft()
            if b == a: continue
            for c in edge[b]:
                if c in [a, b]: continue
                if c not in edge[a]:
                    ans += 1
                    edge[a].append(c)
                    q.append(c)
                    # print(a, b, c)
    return ans</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39443129">#39443129</a></p>
<p>TLE x 3&#x1F607;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p><a href="https://atcoder.jp/contests/abc292/editorial/5874">&#x89E3;&#x8AAC;</a>&#x306B;&#x3088;&#x308B;&#x3068;&#x3001;&#x300C;&#x6700;&#x7D42;&#x7684;&#x306A;&#x30B0;&#x30E9;&#x30D5;&#x306E;&#x72B6;&#x614B;&#x306B;&#x304A;&#x3044;&#x3066;&#x5B58;&#x5728;&#x3059;&#x308B;&#x9802;&#x70B9;$x$&#x3092;&#x59CB;&#x70B9;&#x3068;&#x3059;&#x308B;&#x6709;&#x5411;&#x8FBA;&#x306F;&#x3001;&#x521D;&#x671F;&#x72B6;&#x614B;&#x306B;&#x304A;&#x3044;&#x3066;&#x9802;&#x70B9;$x$&#x304B;&#x3089;&#x5230;&#x9054;&#x53EF;&#x80FD;&#x306A;&#x9802;&#x70B9;&#x300D;&#x3089;&#x3057;&#x3044;&#x3067;&#x3059;&#x3002;<br>
&#x305D;&#x3046;&#x306A;&#x3093;&#x3060;&#x2026;&#x3000;&#x3042;&#x30FC;&#x3001;&#x307E;&#x3041;&#x3001;&#x305D;&#x3046;&#x304B;&#x2026;</p>
<p>&#x3067;&#x7D50;&#x5C40;&#x5168;&#x3066;&#x306E;&#x9802;&#x70B9;&#x306B;&#x3064;&#x3044;&#x3066;BFS&#x3067;&#x3059;&#x3002;</p>
<py-cell>from collections import defaultdict, deque


def E(N, M, uv):
    edge = defaultdict(set)
    for u, v in uv:
        edge[u].add(v)

    ans = 0
    for i in range(1, N + 1):
        q = deque(edge[i])
        seen = edge[i].copy()
        seen.add(i)
        while q:
            now = q.popleft()
            for nxt in edge[now]:
                if nxt in seen: continue
                q.append(nxt)
                seen.add(nxt)
        ans += len(seen) - 1 - len(edge[i])
    return ans</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc292/submissions/39663652">#39663652</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E3%81%BE%E3%81%A8%E3%82%81">&#x307E;&#x3068;&#x3081;</h2>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC291の振り返り(A, B, C, D, E)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc291"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 291&#xFF08;Sponsored by TOYOTA SYSTEMS&#xFF09; - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>def test_all(f):
    for i, data in enumerate(eval(</py-cell>]]></description><link>https://arakaki.tokyo/abc291/</link><guid isPermaLink="false">6401f9ac8d85d90001dba51d</guid><category><![CDATA[競プロ]]></category><category><![CDATA[DP]]></category><category><![CDATA[深さ優先探索]]></category><category><![CDATA[幅優先探索]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Fri, 03 Mar 2023 13:48:21 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc291"><div class="kg-bookmark-content"><div class="kg-bookmark-title">AtCoder Beginner Contest 291&#xFF08;Sponsored by TOYOTA SYSTEMS&#xFF09; - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;)):
        exp = data[&quot;out&quot;]
        ans = f(*data[&quot;in&quot;])
        
        result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
        print(f&quot;{i+1} {result}: expected: {exp}, output: {ans}&quot;)</py-cell>
<h2 id="A%20-%20camel%20Case"><a href="https://atcoder.jp/contests/abc291/tasks/abc291_a">A - camel Case</a></h2>
<p>&#x63D0;&#x51FA;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39225518">#39225518</a></p>
<h2 id="B%20-%20Trimmed%20Mean"><a href="https://atcoder.jp/contests/abc291/tasks/abc291_b">B - Trimmed Mean</a></h2>
<p>&#x63D0;&#x51FA;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39231783">#39231783</a></p>
<h2 id="C%20-%20LRUD%20Instructions%202"><a href="https://atcoder.jp/contests/abc291/tasks/abc291_c">C - LRUD Instructions 2</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:[5, &quot;RLURU&quot;],
        &quot;out&quot;: &quot;Yes&quot;
    },{
        &quot;in&quot;:[20, &quot;URDDLLUUURRRDDDDLLLL&quot;],
        &quot;out&quot;: &quot;No&quot;
    }
]</py-cell>
<py-cell>def C(N, S):
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x632F;&#x308A;&#x8FD4;&#x3063;&#x3066;&#x30BC;&#x30ED;&#x304B;&#x3089;&#x3084;&#x3063;&#x3066;&#x307F;&#x305F;&#x306E;&#x304C;&#x3053;&#x3061;&#x3089;&#x3002;</p>
<py-cell>from collections import defaultdict

def C(N, S):
    move = {
        &quot;R&quot;: lambda x, y: (x + 1, y),
        &quot;L&quot;: lambda x, y: (x - 1, y),
        &quot;U&quot;: lambda x, y: (x, y + 1),
        &quot;D&quot;: lambda x, y: (x, y - 1),
    }
    now = (0, 0)
    points = defaultdict(int, {now: 1})
    for c in S:
        nxt = move[c](*now)
        if points[nxt]:
            return &quot;Yes&quot;
            break
        else:
            points[nxt] += 1
            now = nxt
    else:
        return &quot;No&quot;</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39371279">#39371279</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x63D0;&#x51FA;&#x304C;&#x3053;&#x3061;&#x3089;&#x3002;<br>
&#x3068;&#x308A;&#x3042;&#x3048;&#x305A;<code>set</code>&#x306B;&#x3076;&#x3063;&#x3053;&#x3093;&#x3067;&#x5F8C;&#x304B;&#x3089;&#x8981;&#x7D20;&#x6570;&#x3092;&#x6570;&#x3048;&#x3066;&#x308B;&#x3093;&#x3067;&#x3059;&#x306D;&#x3002;<br>
&#x306A;&#x3093;&#x304B;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x307B;&#x3046;&#x304C;&#x6642;&#x9593;&#x306B;&#x8FFD;&#x308F;&#x308C;&#x3066;&#x308B;&#x305B;&#x3044;&#x304B;&#x3001;&#x7121;&#x99C4;&#x304C;&#x306A;&#x3044;&#x5B9F;&#x88C5;&#x304C;&#x3067;&#x304D;&#x3066;&#x308B;&#x306A;&#x7B11;(&#x3067;&#x3082;1&#x56DE;WA&#x51FA;&#x3057;&#x305F;&#x306E;&#x306F;&#x5185;&#x7DD2;)</p>
<py-cell>def C(N, S):
    move = {
        &quot;R&quot;: lambda x, y: (x + 1, y),
        &quot;L&quot;: lambda x, y: (x - 1, y),
        &quot;U&quot;: lambda x, y: (x, y + 1),
        &quot;D&quot;: lambda x, y: (x, y - 1),
    }

    now = (0, 0)
    points = set([now])

    for c in S:
        now = move[c](*now)
        points.add(now)
        
    return &quot;No&quot; if len(points) == (N + 1) else &quot;Yes&quot;</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39240915">#39240915</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Flip%20Cards"><a href="https://atcoder.jp/contests/abc291/tasks/abc291_d">D - Flip Cards</a></h2>
<p><img alt src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAz0AAAEACAYAAACZExgvAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAH+ZSURBVHhe7b0PbFVHnu/57c3I0UTrqFtGtNaoI+4b1KCs4s4Io04wHU3c9JimFTzzJqHzgkETw2oSett2txrS+7D9NDZRB0fT2NaGZDXY2QfOKJBoGtNqgjfkZpfFKIktBW70ItxiclF6sRSE1VG8kxVWorv1O6fOvXXOqXPuOdd2Gsz3gwqfv/XnV7/686uqU/drBQUIIYQQQgghZIny3+m/hBBCCCGEELIkodFDCCGEEEIIWdLQ6CGEEEIIIYQsaWj0EEIIIYQQQpY0NHoIIYQQQgghSxoaPYQQQgghhJAlDY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkWSJGTw799fWoV6795Iy+RgghhBBCCCHA1woKfRzmQj/qd43oEz8N3WMY2HJVGRutsD/RguHJDtTJ4bVRtG/uxbhzPUgDuroz6O2x++Kwvgtjg82o0adhxOhx4+HGK/pJQgghhBBCyO1FwpkeMWAmManc8A59yYcyXE659ycPt+hrFsR40f5MTg4rXwkhhBBCCCFkcbk5ZnpODaB5uXuWG1yP1iPq7cPn0XG/e81lBqNtTeg9r08roOXwZMBPQgghhBBCyFLnJpnpKX2T03pkTp3PYWSXe15f36/uEkIIIYQQQkhlfLUbGZzvRZM2buqtM0Ql42ryVJcypUxq0Dzo3nv72UZ9rRH7z3hGlOHefQW7a90nqn78Is7r65zlIYQQQggh5Pbjq1neVpbSRgRhLP7MTaBv49M4/jlQu2MYr7fVoUrfEmbPdKLpl6cxh1rsPnISrffqG4QQQgghhJDbjtTL2zzn7pBWh47A9fDyttLStSjXfjKvn42b6TGoWoedv3DvTh/pxaELsiRO8/kEhgbF4FGPNXXgMRo8hBBCCCGE3NakWt6WG7QbLa5rx+g1/WDFjKDV8y9y4wOXmh91YO99cpTHSNsejE6rwy+nMdrZjhE5vqsBz/ykEdXyCCGEEEIIIeS25Sv4picwG+TNBBmbGgxsybjXks70CHdksPVZ9cxd6vjzcfS29aL/2Xb0nnXmeNDwi2fQrL/rIYQQQgghhNy+VGb07BguGTHljBNBtqyW2Zu2UczoS+amBv0X9LUUMz0Otc14frAFjsl0ZRQjzjK5Kqze9RKe30KLhxBCCCGEEPJV795Wu8y+3OzzZWho24TVdwEZZVCdPzuMlpXKfPl2M7qO7IzdDOHGXRnUqWd9fD6L2S/1MSGEEEIIIeS2pjKj50ir/o4n4YzMx3n3makJXJzWmw54y9te78BE2xY8PXgaU59XI1N7J2782TKsqctg7vej6N3xMB7uzpZmiDSzV8Yx/PMmND3Ri9Eryljash8vPtusDKc5TP1LO5qansbwu9OYo/FDCCGEEELIbc3Cz/R8of8WmcPE28fdww9G8HS3Pp67geufzmK2tgHN9XXYtGs/XjnzNvoeXY3qqlps6n4NY4f3Yut96/B0ayNkr7i5mTwmTvajffN6PPxoOw6dncHc19dh9wtjeK17E9Y1deGV11/E7u9WA59O4NBPtuCvHmlH/8kcpj93gyWEEEIIIYTcXiT8nR73t3IwWI/WI+pUvulpCyw6k+92fLM++vd1rhxH66N9yN21Ffufr8Xovn5MfKofSYzy690fYvJvt+GQ7MwmKGOnZU8Hdm5URtId+prBzLsjODhwCKd/721nXY1Nz7+O/Q+L+UQIIYQQQgi5XUhl9MT+0OiXE+j/7tPuD4zetRrN3c+ja2MtMDuF0cFDuPqj57H7/ir13Bymp7I4d/oc3r6Qx/XpKeTLGUGyFG6wGVVjvWg9U42WbVvxw/tqUWUxdoLIMrjR4SGMzm3FS89tcmaMCCGEEEIIIbcP8UYPIYQQQgghhNzifLW7txFCCCGEEELIVwyNHkIIIYQQQsiShkYPIYQQQgghZElDo4cQQgghhBCypKHRQwghhBBCCFnS0OghhBBCCCGELGlo9BBCCCGEEEKWNDR6CCGEEEIIIUsaGj2EEEL8zE5h6g9z+uT2ZuaDHKa/1CeEEEJuWZIZPdcmMPxCFjP69E/LDLLPbcO2Rx9GfX09Wl+f1tcVs+Po3/EYHlbXH350G54+ltc3bjGujaJdpaG+vh85fWnBudCP9pMzyA22Y/SavnYzM5NF345teGyjyKUVx/+grytmz/drfXgYj+14Gsf/Td8gIdz8zqG/bfQmKc+kUmZOtqN+MGUNoerI3o2PYSSujHyew6HBS6iurdIXNF9VO5AkjvMiXRtS8xfAiedGF9zwkfzrv6BPTFTdnDpflzL/NoJtG3uRndXnS5T8v2zDwz1ZLEoy51N2b7W+ArllWdQy4FGI4fr4C4W2f9hT2PezRwprf3qicF1ft3OxcLDsMwvH1X/tKTz59w8W1j4yVLj0hb7ocLVw4p8SxuP9g4W1Axf1yVfPxYG1hbVrba6tcOIT/ZCJxNf6vHZW+Ufly/XCiZ8eLFz85ESh7SuVgQ5Xn6VD5e0/Pll48ntrC4/88yV9TXP1ROHgaFSuS5imTJVM1lYahzgknLWFg+/r0wVF4hxIg+Sryj9rupWutNmu6/y+PtpWQTzd9MXrXVDWlSFlIxQ/iftXWMfc3AT1ISE3LhXe+K/nCld9dabJDSX7tsKxvD5VpGsHYvjis8JH/9dQYd+L7xU+05eslI3jwpCmDbkxfsBenuZBZBm0tkuLVWcFuYnqMI9PzhWOjl5SmhmHxDuNfCosP0mQesrMK13nSr7GyfX6+NHCif8Wn8q0LEwfTsvWS4eTPqPu964b70sdEpRtZW2OwguvbPxvYirpa0a14QuFxGmRZCp5babXy/uLA/FldDHKQJDYmZ6a9bsx8FIffvZXGX0lPZGjWYrcoIzau05GEpIzh/wfVuCZPbtQO30Yo5PGMozZS5j6xhrU6NMSOfTrsIpu1whwpNV/Tc+uOKOovusRzjYiV5ypiX+urm0Swzsa0HVqEpOTcgy0HJbjATRPR4z27Rh2ng27YbToR8oi8Ws7hw2DHahb3oyBtjp9Iw0zGG2LmokSWUfdu4r8eX2Ylrk88t96Bs/sqMX0kVFMmNn+4RTuXhPOdSvXlD87GlEu1TYdiNLlr546bN+YxdHpZjRe6Uk0AifpaX9ng5PfNVsG0HG/vpGYGjQPKl071YWG9V0Y83RvsBk1ejTQSgUj13WPdyE/bM5GKX3bn0VjpwpLX7ERPxopOuvPzyhXzGcpK1FxD6Uruf/p6rswMyeHMIJx9G4O+F1uBq9qNTapOqf2Dn0e5A8n0P9JM364Up8r5t0OfDmL/NlhdP7ja5i+5zHsf2odqvUtK+XiuCCka0OqvtuM7xwZ8tU5PhLreElHmnrGMbLLPe4/abQZXrsUzMv1GazQh9F8dTo4fxLWYcsb0LJlNQLzjrcOqo3diSGM1m5HZjh69UbN+hY035ssldNvZ2HMT0Yy77Ib1VeQfohqB1o2bkCNl75i/uWQVVeal+tTzdUrQKZWjvw6GquHEv7mPHZKO9OaR9MCrFBI3LcrhiXxTdPXSdfXtPYXxal3xnuafNdunv5HOmq27ARUe77i8QyGYurJsmXAJquUfYvYmR4Px2oraxFGjRLIiEr5ERgnDD16UH404GLhhb5zhRuFq4Vjf6/eeeaN0sihjKZM6ONypLW+E1jG7uyNO8phjmy46bOMLBnWfGl0O2K0XML3RlhsLkr+lusSH/sogjvSZ/Pf/3yZfDXS5WCODllcohGg3AuFA+M3CoWPjxWeVO/sOV0aL5YRhPdCI8PhtEicTF0rOTMtkjZ1zZGbOYKo/TPlWS5PtEuUvlgkTilGJoPyd4jQq7RImoPlphheOIxSOQjnR1A+0bOffhdOm6I44pgOCdPqn2BLq4FtRDOIo28VxCsSrywF/LTOjqXko1efKOx70z4P46SjTP3n44vPCpdOv1DY88xQ4b2rizt65/HZf3tDtQ0HCm99rC9Ekr4NuTT8iFv/WEij4z5sOmvVOXs9npRYHZTwLPENuvnqlpOGxZpdceReZhRZZGBJl98tQPyc8lm+zzMfyo2YB0lWdu06Ju/66kets67OR+u7Pzwvf9y2taRL7vtW3XL0MpBO27WFIDbPJM4xYao4RbYfHtYyXYYk/qYiJq9MN496xiO2vqmQ1H3rCOZt9LgBBoSmnRkpf+aVr6BikaVMv3P9u/rakyqsJwvHdCN3aVg1eLFrJwzSKKIUCk8GvkLv3HVwZGH4F+qEGH4k7dyJs1YIZSifL/6CXHo+Snl0gSmmz15BlojK43LvRXP1Xw8W3nBe1B2Vvz+mjoRLhaFfvRWzZEbS6qVLjs1OrsTTTLObzpLM/XISwvrsEfTLZSE6o1683TyKKjs6j4rPmU6/U0nlGyCou44sihV0WAZJDAMrRqWfRIaVhGPmpRy7jbgh33INj64LIlkAefsp6bJPD8uGc6Nwcbin0POLJwt7Tkel53rhjZ894VvaZuLUEUnKrjZ2ev7xaEpjJ0kcLejwDvzqaOFcPmHlX0EbIkvcHnzRLuM0uhfMN+fYzD9bXprtT1pS6eCfug4z+OJq4Y2+nsK+3U8WhnLl9ciXByIvCScy3eF6PSrtqfHCFpckz66+UTjwj/sKT/39UOFiwuKykEaPc6+YL35n6yt4dZ4vDqJj8o6SX5u1D+HWqwdt5cRShzptTJTstHxt+hhsm0ppiMOmCybqfmw+BtoMG4nLoFlGYgbjFoKFrmcMTJ1KlIYyZcDxz4hrqD5KEe95794my2ScJS6y5MVceqXOveUpMrWV6TlqTAFeRR5JpurtzH6YR+297uKD2o1b0ah8HhmbUmczuPTJSmQi1k6Yy+kcZ5lyjJpqzb1qLK3R07nnHnCn7Jw3ro2ipyeD4eJSsRnkLzfo6VyNvLcqi3PX3KVtnqzGuhuc6WJneVu3kiNaMOzJUbmO+5MvWRAnU6Dl86UO27vzGNLpLT4vS+sC09IusrRpGC1HsnpKNq/yMI4abNiYRzY4HSvvrco4crROM0dOX8/i0h9qsdrJgFr88PFG4IMRnP5QnV67hOuZTPSSmQtZZylQ9h35GLMVUDLGlav6piy3yyCj0zxzsge9q4ZLS78kvoFlJY4+nzlniaffr4VHL4U8lcGQI6/gtLpefqbyUXTKXSrpneu8vn87ui57SxFS6FUxX3LIHiktyXR0NxYpBylkItPXZaarpRyHpvnVe0OWJRXx5HD0TCO6t7h1iTsFfw4blIp45WLm4zKboSzfgMbLukyEyKF/l/KyouWjdmRZGw67ZVTKbDd60N6mytFwBmMx4cy9exyXHu7C7u9VI5v7CPZVWldx6WwGy1xxVMZMFp1Nnbh47y50dbdgXXAzhBiSxdHg0zzGX+5E50vjwHd3Y+8vW9CwMnbhXJFK2pCq6v8eUO+Fy306HZd823mlydFh0a/MPSoe9zeW6tYodL2ZjrQ6+Keuw0pMnzyN6p90YevqSzg3dV1fjcNY7uktiYpKt6VeX1h0Gy5Lsnz1Z5BpjI5Vo2PfVqz+t3NK9/Tlr5C0fQWPFStV++4tyzzbqN6RJfaqPp3sBvZLPgSXGo+of5Y6ernSt8teuXKXhmUfUuF3Aj2OjgTcftWEq/g1nlXHTltRasec97z4O24Y2BW/LMzpExzuiF7uXkFfp9K+phsXN+7l29b5IXVPw8rFKwHepxhS10Wl16VMGUjZty7Hwm1ZPa3UwhSgKLI+lLW7jTtGSkphdHxDyqFcuXWL+ctA5lv65OuNeOzHVe43HtcuInfXGiNcP6ah4bjDLaFvZAZ0B8iHdKguN2KDUVjr2qTjUYcO+Z5Bnc+8k1UlcbtRcOyNx4qVKv7eYlzp4Kn09qiuS7FyvqcZA5ONyIosihWl15kdQ9d6v0Fkc+a3Gk68IvKl5gFlOFg771FIPqq8S6BYQs09GYycDTRphp6UDC3DaXmGyeOSirkX9+qHH8PWu6Zx+HcTmMnlULU6KtdVhTisCvd6VYGc6UH+cSWfLUZHVQyi4vc9Mzh3Buh63Kj+VHzHQ52NFSoeeZXDAcSvcg2prP03dD3KxZYBWVstsvI6DiEjwU2HWSlIXugjVUHDMQDl2DOSyjpPz/W3JJ4OyzrtxgfsOeaScoBD9DO28ycVnmpaA98jzbyj9OqyblQSrvGVtORlTbo+F/12yvP9HfZ6wEoNMquMus1E6UPeVyfMHykzJYNcGgPV4d+oOsznLfpocP3LDL6/UvRiHFsbvmP/PmJuVhkay7Asmd1gp6YR+1/fjbtPHkDvEVU2U+x4liiOirk/jGOkpxeHzs4is20/9v9kE1Z/Xd9MSEVtyDdXYJ0+9JNSxxV1bWPIDMt3PRmty4E2Mi1R3xSl1cGbpg6bxfVvNmDdnTlkX89gU73ZwwnidpRbLxvfGU7GdGIV0i6G63U/yb79KLOjmapLnPho4yfU8Zu9jmUN61D1QRbHV27COk8n/wSk7SvItfyVjJuPTv/F6w957Yo5gCr1pDIFHyqnicoP5Z9Tx3k6EnS6LXL6c064pXYs/J2q8k/180L9kCJKv5TebA+9l45gX6eyvqa/bRM/x1P1z9Lg1rPOgEskCQdFIw16F08WrvFjKS9lykBFfesYFszoyZ0diRVg3UMtyH+sRSMd38tDjsCGVo75FKG8Za46v3N1WFP8yLUK6360C7WfH8drvz6NG/dGdX7ngbXj6+fqlYAC+TrTJeS5ojJt7lXdRxQ/Vms9Av1ha6vqWCrO9wYqSsnsEbR6yhZy4VGz2E6pVGplOkt+jBFNn1GrEAMu2HDJ6GVxBMcldzZfppMcwZVLmLt3jT5RVK1D845azB17DQfO3EDdX+jrQa6dUx3bnVBVNho7dyL/qsRRVZJ6NF/0tlQRhwuT/76HPKcPDeTZBl8nWgiMSniNYBkXrrwt6EZhGK2BxlQ6YX4j3cSpTIszXWnI4aiMuKgwnVE2pXOtgcGAckhHIn5Qo4xhrfIzG+pgSrxU/dMqshtDV2jmRcpbuLINlVkLJWPRxRZ/X91mUBzFX2CKnTE94jmwpVl1FPRAScTIea0y+mv+8BZGL2zFw/UR5sTsbIq6IIavr8amn3Sha8vdmHip1zF+pstO2ySMo+KGMqSqltdg2TeVgVbRZgeL24aU13FBBh/8I7lRepQEez2VXgdvnjqsGnXrVwOTp3H8L5qxwdhYw4czcJhFo4QZOWAWxO3w2ev1Uv1vHZQLuaiVEQEcmY2h8Yw7w1ekug4N3wYm3jyONVs22I3tK6fRu68TnYZ78ew4Xgxc6z0VPx9RjtR9Bbkm7bsevHXqHp9BHKyLAqPzMZQ3OKNnCEPUZlTIERgD8JFU2NepDK/t04O16nxB6uQg0o6eDw8e+vu6CQdFE5Y7x/g5pdqpzYG8K1MG0vWty7NARo8sebEI0MQYPZWKFRu7HYGFrV3XMo+s/GfzmP5mYCnTvQ+j5V4ge2YW6+6NG6YM7KohU45JFDWu0GhWrPQ/YW+EvMZDK5NKZ0N3yegr7d4mrjSrU5SRk9n+0YKSs+3eJvni78T7C7mMqsSPiJm4S788ZVOdU2M6MfdqLzKWRhe+itKMj3REk1dcs5enUbvKn7erN7ZgteoCZz9dhzXWbFdh7Ffd/y1eF1ml15tRu3+70wDJ6GBplGcFMuv1oUOEXtuWRqiKcEg9u9M6QxDIgwVGKhNfORI9CVTkvs6PNMDFqeI0lPRFRqq7lKxaWpN2NAR3OVm5UTUZsXFnoizIgEmgU+bM2Khy5HayZETRazg87EZgsMxaUY1ZaSmja/TZ6rkoI7LSTqwdt/7quaLrIz0o4tZneqBE/e8OioTLVv78KC498jC+gymMX7D8EkJNrb3TVSme8fO3dyP3z8mMn7JxVFSrfNv61G5sXX0DE6/3o/9fkhlVRSptQ76QPd/KkUzHPV0alpkOb6TUaCPTEd/+JtbBm6kOc5jDxNuqI/SjDai9No5x47fZPJxl56eSt2EOF46iFxGj+4u65M1t90PG4NwE3j62Bpu+W4uZ8+PhXdlWbkLXs/ux33BPP9SApwPXujbPp/RW0Fdw7gPnXpXBF7c9cPpKqo/iLq/2P++ujtEnJpb2SjD7Rn6nw0pIZN/Eo2wfsLK+Tvq+ptKPTjEK5J0mZDeqtkf9C+ujHjQXfxOuaggiafDPnpRY1CVvziCHpbzGlIF0fWt9GsOCGD3Okpeg5RWhyIK9gishHbQo5j6YVL3dYOHOYMMWFXqt6vxGJloUZQgZ/S2C42TK0eg4RI7OiaV/xNySMYxvevNCf6Az7eIaDf41reaWhKWZHnFN6A3OJsR1Vi0dcbczGFBs6TSmVGpvCWKTaszN7wbqHsqgV2ZOpLG0ThEHjAilE8X4yEhD0YAqxxxyKtvXBEf7Vm5A830q27+7BtZsV41bdmPE0g5npEP99VVU/qVKsr42vDREDClV6fk6++41ayVinZlYTFRchvP+JXqK0nahC0NuUOmn+e1TZIctsBTwfPl1t3EzUeGZQhm1zQQ6aqXldw4RdZFTZr1v8iKRBq8XR5VOWMuTEDEokmT5qIxoRq91DiIdD1V3Pq7qv4jBj9LASbBhmUFuPI+tP1gHTI7jeo2tY38n7q4NGowLQLVn/CxD/pU+9J2cijAeksTR4OtK7j/uQMeP1+DGOyPoe34EEwmsn4rbEFXHTtQus3w7mF7Hi98RqE7ATq1fsXij6vrUJFIvFcmXMN9MdZjHJWXUNqD5oVrkVbmv+qa+XMRYeZAY1RlVHVDrYE1Mn2VR+XACx9c34/uq7L11uQrL9OWvktR9hctDaN8snf8N2PCQfHsj7UHS9txE2iv7LOW80TNQrTDaqSDyTabS7nLlNV1fR6Wp4r5maUlft4qXVR9VecxvdA3CYfVMarNH+qcRgxtiUCzG6oSyxJSBSvvWkegNDex8/FbhhRcPFvb9pwcLa7/314W2X71QeCHr7pdVwtj5wtiFo7LdXmQXDNnxwbITxmfnCge2P1H46++tLTz4wycKe34XiMcf3yjs+ZVsQRqFZWeW9/07M0mcI3ea0LuTxKWptHNIIP56t5HQbiSW8Ev+J9gRxCS0E4eRL0Y45fPFy4OSi5SJwk1zkh1vAvJPuNvGZ//XgcIT/+mvCw+ufbDw1/9pT+GNwFa0n53eE7mNbIlA2E5eGjrri7+xe0pgZxNvRxK/PLS8grugaIK7jlSOxCuBnA09KO1mZOjCvNHyiUxTQNa2fPfkazirjiXR25DeK3zX4uXm6m852eg0V7Crjasz8f6XL5MBjHo2SLRfNwoX//nJwlP7DxReOB2swz1uFM796sHCCzl96pGoHUhB3A+jlo1jPO6W1S8Uztnye55tyNV/fSqiLkyn42XrBJtOKxxdDVx3rpXRy/I6eJPVYUWuF9545snCnr4DhaPv23PFJpNo3HJsz0PXr6h7qXDyP0V9+4nSu79X7Vjf0cLFf9fXypB497a0fbgkdW6o/vHyVetRUefj89rVS7vM5V50Xkg49vQ7+lAMP6GMdHktVwe7fifR30B9IBhyFcrpWnyZNeSctlxK3RKZhrTlM5rUdUaZMlDK14BMvLo2RducaMvqOIIFoxi5BJEoJcRzCyPwaNxKrxRewkJRJPB+2UwtPW8tUI4CGv6FXLn4+SuZYD5Umi+LgqUh9yo9v0ubJ0koVULWwliukSrmU/gZkWuw8vLr9UKlJ0mFJM+Y4ZX0L66CTYMtvUWKcvLHU2RerkFxCZSvWOem075VcHS5sBIoh8nimoKA/2H5BfOtDF5FH+HmE//P3txXeOLVj/QZKfFZ4a3/XNrWOkgqHY+qgw09sZcxv15HP2chRgdvrjosPf64Bp0Xnis7fx4F5LlQbWO59mQBSLtldRwiP1MuRXlGyUPSV2xDS22rSXR5MOr4GHnb+wamW2j5BtqeeetCwL/E8dXvLZQumtj0MtCWJK5PymDtZy0oJfmmbe++Jv/pSR9CCCG3M3M59P/DJH54uBWrK9kkYG4aufev4oY+tXLXCnznvtpb6xf2Pz2Nzuer8MyzjdFb4xPyFZE/OQpsacaCfoNHyG0AjR5CCCFF5i4cwoHpH6NrcwVru7+cw+xsrMkD3HEnqqtvJZNnDhODBzD9aBeaF/C7OEIIIV8tNHoIIYT4mD41jNz9rdjETj5m3u7HG9/YjZb7b6m5KUIIIQFo9BBCCCGEEEKWNAv246SEEEIIIYQQcjNCo4cQQgghhBCypKHRQwghhBBCCFnS0OghhBBCCCGELGnSGT3XRtE+mNMnNyMzGG1rx+g1fTofdFpnTraj/4K+Nk8W0q/5M4eJl7Zh26MPo75+PZqeUMc7tHv0MbQfnsDMl/rRSkggv5tLHrcHucEFKh9k3iyu/ufQX9+v/ieEEEKIEGP0iAFRrzrEhtvci/Ejrf5ryrWfnNHvpCc3WG9t+KVDkNbfufNDOHB+HPlpfSERkk5L52B5M3ZiCOce2AkMj6qn0iHxD8qpqWccI7v818RVLr+ojk0S468K6556BYOtdUDtLgz+yyt45Yh2h3fizpeeRs/vksQrhfwu9PvSbZNHWBci/I9CjK229PmVilAYkg8R8lZpnk/5iEXiYcjO5uI61VL2wu9EyLoYVoq8WExElxYpn52yawzueMZJbjCY9hTlz5JX9vrArkepDaQLWYzsaIQq3bculZRleeemHpgjhBDyJ0O2rE7MJycKbQMX9Ymd66NthbbR6/qsHNcLJ356sGDzMZ0/ihsXCwf/7sHCg2vXFg6+r68lwhYH5ddae7xS8f5BXxokTWbcguduXNoKJz7Rp+WIzI/k/rz3T2sLa391rnBDn7tI+tX1MnntUrn8ystDiNCRgGyLiEx+ekK95XJxQKVD0hLUC/W+dz3eWcIOhOEg19aGZW6myYxLMtmWoUx5lPCKaQ6l10uXmVcRsnae0WkTf4JpF+YjT8f/wHO2MEyi4rEASJ7580fFT8IKyjtS/snKn13fPcSPgEwCzq//FhlaXSleFwei4miJfwX5m8r/BOl1nfde0vQG5UQIIeR2Jd7oSdLQBToepYYuqlEyGzvdmdBnJtIhSNNYffTqnsLQ++cKB1QY6Ro5aWwtHTFJ+3w7pgnk5+/0GPKIeteUl3rGnlZbp8LGR4Vj25W8fhfwI3+s8OTaBwsH3vGbQnaSyc/X4S/j/GmK8D+YRlNejoxc/Sv6ZTNUQsg7UXKL0mflPH8dw8cfV7c8SFz96RJ5pNNTC054lvgYztqp9umNpMuLs0XWThgBmTiytuVJkDh5ujgGhhdPM146P0vxd2Vops3qyuZxecJGTwQ+OZoEdFOTpAxY/YsMx0TJumzazXjZ41gk0qAzicvfBfBfnkmbn4niTQgh5HZkgWd6pKFL0hnSGP55nR+rK9eI/fGtQk+fzFa4HdPyHQSF7lTZnPt+mUY7CYHOSnBkN3ietsEuvS9xtadFnC8Mk+tvqA7tI4WhKX0ufPZe4YX/9NeFPa99FJj9CbAA8ouVR1n/9TNBeYkMneeCYZfrFKbIbwkjwi9Jg5nnYvQcFBfKgySd1DKU0RffTE8RKSNmGTXj4S+/kpZo46ZcWUsgT8k/QwZB2YXjahCV9/OVqcJNd0DXLJT0tbLyV3o/DuW30p+icWumzykjnnyS6JOZJ/68thE9UyOUy9/5+q9InJ8SliHzFHUoIYSQ24doo6fYeUzgig1TkobXQDXaUZ2KcAcoihuF9wYOFN76oxxfLZz4BxWfVI1eMM5GR8vWsUqD0ykJyCrgfJ2eGHnYiO40lOuQuNwYP6Di8NeFJ5/ZV9j3n8W1FZ74u7bC0PvJ45BcfoGOSZQL6U+M/7Z0OjK3pV29F5OXyfVNkaJz7YzuW58t3ymMw+yYl3OldLl54Oiclze+tHhxcp9z3ousB9y4O/GwpK+8PCUf/flkM9LEH5thYPU/Rb7E4aRJ64o3O2NLS5ry5/gZkqHdmWEF9ceLj+N8aS2VE1tYrgzNeJnlKIKY+sgqfx/p/U8kI0sZ9sXFV+cQQgghJZLP9DidyYOq4xg9cul0OtI0OPNqVDVTQ4Wef72qT9zOWrDR++i/PlF4IadPgoQaSa/jJyRouFMgaYqUnaLc/SDzNXouDT8S7rD++3uFg4886FvytljyS5TekE6Z/rt+lPRE57+t4xurm34/y2I1BOzyjtbjlGFa8BsJpU6vHS0bL76eLHz5Fx+n5PqZIG1WvbHI0FpHuGkJxcVn9ATSG+UsMpN0+uPmyjqYx/Mpf45/A6o+LVM+fGkXmak42/WplP/B90r5ZsYrQd3mk6eJ+FNOd+fjv6bcfY0vH5yyWS5uhBBCbkcSbVnt7GY0nMHYZAc6Hu9CvribWcyuVYrF3x53BqPDb+H6u4fQua9TuQMYvawuX877dvzJPP4ydt+nTwLMfJxHy0NRexytQGZ9HvkK0jD/3duUbBd1F7JpXHp3GrV/uQY1+orDXd/Buvo5jJ8+Vwx7IeRXqTxm3skCK1foszA1DzQCV646xzMne5Bd1YIG5yzAdD7Gn6vII6NiWw7RdxVH2cVwfZcqD5OYLLpuYL89LzP3+CS8oJTk14oRdX4utCOb7C4mu4n1AJ2TGN7RgK5TY+i6POSUTX/+KTmc14fzorw8JdwGMz+unUMWjdiwXJ9r5LkQ8uz5FjTer889VB6Pr8pofa5B86CZPxFusNmv/xHUtalnTzUiu3m+u9dJXtRjaOUYJts6sL07jyFPZ8wd6a6NoufKTgxscWPn7LQndfDhFoxrfZ8fUjb1oYOlvlm+QeVIXuVmkCTlZT7+p6W0Y2fuVVVfVFhnE0IIWdqUMXrcTp50TltadedgeTO6N2bR5HSoVDdlcgDNgY6Kg2q0h7DTfi8CcwtdCbMcc+ePIv/oyxh4bj/2PyuuDx2b5AZww33EpapKHwSZwbkzqlNaq08dzAZdOk4R6StDzZaBUsfqVJfTEW85rDqb66XTqa9PjmFMHXsdG5OZk0OAJ/NE6A6545rQW67zOpfH1CTQeN9qfUHzpXu96lu1qNaXFkJ+jjxUhw07hktyCTi3Q27Kw/W/8YEYKSh9HGhTnXbpJJ5pRPfjGX0jJefLdb6kszqEjOSdzk8/ktZhZM6UjEVB0t0R7JwLTic/iaEVT8thT37DUNLFhjb1t2iQqWNn2+KgHnvnORztyYSNB03QULUZqZHbcZeRZ809/nxyjNuNG0L6fvXKeMhozL3aC3Rvt27H7DOkFhrRtcmOiG2gE5Q/Z8t2udeCnVrHa7Z0o/FMk/ve2caSEebptULyoRWq3CQ00JJRgw0b88jqbbClvslb5A9Vmq0GRNnyUon/rkFY1C8ZXCgbjhikw4DWy1ZlRjWqcpWx1NnF9mVRB5MIIYTcrEQbPU4DLUbNJMa6/V08aai71kuHK9ABWK4aG3OW5UhWdQViqFUdH2/UUoXnNOy6Aywd5PEe6QxEzBZ9PoFDb6/Bznp/h3zFShXXyTyuO2ezyI2NoK9nFNaf7rlwFL2rAobZNdUIF0eLTaRTk3KUV34zwmm889ip0tRxv+psdsposW58VQeo551S8ysdwfzHpfORs/GhrVipugzeCOdgK1DsAIsBMY5eCSeqgf9wAiewCXWmzfPlLCZe6MShqha89JN1qFpQ+Wksv/PkudYj+hkP8T84+h9hLMgIb2NndKewNGOg8jH0Ox51aNwxUuygWbGldR44HXdfJ7AC/bJSh+0bs+g5mXONtMftXXTB6YiaxoPk3fqSbH2Gu3JSD5SMLNfZDPZE8pSy7xmIYrAq48szBIpInXC5C9tNo0yuHSkZDSa5syOLOqsWJE35czrcYtRMysCH+46L1AliRLdgWBs5fsTwz0Tci8atO91yFTWAJLOk7qy9a/yGZVqDzCp96CNB/irS+p8bbEK+1dAvZ3BhBK06HdG/d1WHDu+dh/KqzrANJuRUveG2L2PKGDvHmSBCCLntiDZ67u9QDUTAqHEMIWmAjiIzOIbMsDoOdiC9kTkZqTyMYoNluuKP7AWNJANn+Uv3mGVJyTRG92zDY1uexsjbQ+g95XXH3ettL02o41H07tiGkf8jh9n71mHZp755H40sjcujSzqFYpzodEQvp1IN66kMhhKOEjqdnP1At4y2Gx1Jd7TYHZWXWY9gp9FbuiIdzmFlBgZlZ/44ZNBIKjGD/GV31mRMZuXMPJpTxqKSzbb/fBxzGMeLP1HHci7ux7JEaideeVnl+13q2SsLKT9N7EyPfsZB++8YMsog0HKPmhGoa4ufkXOWwTkdQbsh4I0WR3asVCe9IUJXPaTjax/NNtBlSAx8f96n1y8xEoPL2wQ3ra3xs30qHk3Bjqhvedj8KCtPVQ6KM8ablcF6yqxr9KzJLmDYnN0Q2e1SOuF71kN1ao80BGYdF5c05c9ZHhcwXIozD69mMCB5r47DP0AqhsFIaQmc1MtlDKCgsSrOOttYzAMx2GwyjS5XZfNXmIf/RYz6ohs94fbGxNMP6+CHMtR0fdqkjMjgMkpCCCG3AfrbHjvOR6HGR7+WD8Gdj36Nj02jP+614f8gNnpnonnw34YKba95Gx2UsH3s64Yd/xFs8L1Y9IfHQVf8ADv0YXK5j9EDSP4U80Q+HC6FkTiO5VhI+UXIo+RKulNp/iT9+NlO8ON3f1ilOGj5JigfLqa/C6hfPlzdOSFlqJh+N1zTP7d8ynW/rN24GWW3bF6VXPTmBvHyDFN6PiQD2wfqAflXJrcwjjwi89IgZfkz9UdcWG7h/HIJytF0nkzi645S3VouD9KQNn/LEfQvaVvivbeQaSOEELLU+Jr8p+2fJcnU4XZc3Lgbmeu1WFdf/EqFJITyI4QQQgghtzqJdm+7pbljBf7f3FXcWccOe0VQfoQQQggh5BZnyc/0EEIIIYQQQm5vlv5MDyGEEEIIIeS2hkYPIYQQQgghZElDo4cQQgghhBCypKHRQwghhBBCCFnS0OghhBBCCCGELGlo9BBCCCGEEEKWNDR6CCGEEEIIIUsaGj2EEEIIIYSQJQ2NHkIIIYQQQsiShkYPIYQQQgghZElDo4cQQgghhBCypKHRQwghhBCy5JjD1Fgf2rfUo/X1affStXEc+nkr9v76NKbm3EuE3C58raDQx4QQQgghZMmQw+nBLI6fuRvP/KYVq+8A8mOngaZNyOgnCLlduA1memaQfW4btj36MOrrjdEOYXYc/Tsew8Pq+sOPbsPTx/L6BiHzJYf+tlGlfTMYbetXZ+rKYDtGrymNPNmO/gvuU4mYzWHkl3vR91I/en/Zh9N/0NdvJa6Non1QpEBSQbnFoMpYvVu2bj+8+oXcGixifn2ex/FnW9Gq+jKPPboXIx/M6huaadXn2bQVm2oOY3RSpnZmkPu8hgbPIuC28SybNzOpjJ7cYL1jOJTrsKXu1C0qNWj85St4flsj6u6rQu7IaUx9qW9VN6DjyAA6nujC66+/ghd/HK4GJC3tJ0vqKzJYjLRJOPWL1LmROPvTIAVTdcYH51swpUPv6kTRJSnsCTtyftlbwnKca0hYudBfXqYpO5XJ9aEOjauyOFeMWw7Zy43YsBy4egXI1OrLZVHp3tePqqf6sPepDnR1N2DiZ4eQsy5LCHQCJW2LUfneKh3xsvF0dcrNP1O/dMNV1LGvqGMt8S2Gqd3mXowfafVfE+fkqxvnoj7a3vdcWTksRhpT+ptEr3xpbMWI+tdqpNGpR4M6L/VA8Z3Ss8mQNMTUMVYWWp6mLnpOpf18L5pC191wnba6mEbb+9qVqR+8gZp4XD1cnDZf4m7GQZ1LnJUe9Bv1cFrMNtGRlZZH/wU3Le558nwXveu/oOOmr6Ul2LYUiW3H5jA+2I87nxzG8JHX8Mova3H8yVYM/17fVsyp9qZ6ZS1++PgGHP9NFrNzl3Djzv+g7/ox5eKUJU9PfC4ol8r0PTK9IeZXnqLb6GjK6r3KE1vc6x5vRPZVYPvGLI4uSnlYACztRJJ8cHVcn0RSyitHf4J669Nls6yVcfMoVyFkeVsSLg6sLbSNXpejwsG1bYUTn7jXbVwfbSscfF+fFFHv/fREQXwI8cmJQtvatYW1jjuonlxobhTODQwVLv23ocIjax8sHHjnhr6u+OytwoHhS/okjKTFTbdzVjjx0wTx86VHu4H4tySccs9USinvNBI/Cev9g/7rHhXEv4j3blReCyrcJP5JvMN6VMKfNxYkLnHxEDxZmMS8l1QfnPwMylC5g+9L+Qle0y8ZyPvO9SnRWTMMCXNt4cC4ocNFxG/j2aj8dZ7zx8Hu7OW8rNwd3Hja/XWdz4/IuFrCK5M/trCKLvSeG08zD66PHvSl++JAVJkvVx9UIudAPRnUz5C+GvG36XIAKVP2OAScGQcpr7ZnPBeRF+XlI7JOm18mpr67ciivly5euMGyVzY+2nnhVCTPigjKMqAnoXM3bm48w/eCJE23vX02dHDBkTz210MSVwnr4kB0/RSMty1uoXZR6bn5XLAecPDKgiFP158TrowdP1x5BONgdyV5RqXHCTOqXKv+y75fnVM9HI9LhaFH1hYefLH0/KXTbxSuysEf3yjsWftk4dhrQ4WjU84tKz65SNjFtHpl7GLhui+ehn5JHVRMW0R6NF4+lieF/17+lHNanhXrvQonWNeIX8FrFRGbBlv5c0mq9za8d+PiL3pR3j+znrLUC3G6rEgjw0rTm8Do8RTdjIhURNEBSGRs95IlyPXbSYRRscyPi4UX+qRiuFo49vfK32feKHym70gmHJzQxwYhgUpcfAWu5My0imJ4hdGUg+ufWUiNdMa5Mp2YJIQq9xiSxz8dIXlGOjcMNx4lF9InKTwB/Qi+Y3NFfyIqFl96Df9D8U+lD8p5+Wh2TM1jE7muw77+OxXuP5xwGy2Hzwpv/ee1hUd8hnpYlyQOVnkEZFbCUkEZJJGtX1fNyi+MyNPUyeC5n7BfEp+ouLoYDWUi3PS7aREdNGUakQ6lQ0nLVYl4OdvyMuSi6oQofSpLfF5F4ZaJuPfS+JskvxLIpujSp8eOpCFtvVeZPONx9caeVu0i5Ze2LJSI7Yjb4hBw8WU0CZLnSeWv9cNJq5kHWnYRMjDrNr/B4oVr6N3AiXDeWtoiEykn5eUQozPif1S5/vhY4cm1DxZ6sl6PRse/+Pz1wltZr61w2461aw8UztnGzKIotnMR+eDVO45OGGlw3vOnKdSO2lwwrSn8t1G+rQgTqfceKi7hul9kn1RX0+LqoD0dlel9efT7Zt5EuWIYZviKYB5Z5VYivh/gMb/0xhs9ToSjFcapLIoBGBVD0PmeCShpGSEsCFdPFA7+zg3j6mtPqjg9WTj2sXNauDR8oPBW0QIKI2n04udPbziDnAJtFNhQYRN5RmSINbOlkAcrgApw4q3zIq7wVxp/5z0zvx0XyGcDeT4uHi4lZQ49H6z8YigXVtx9J10B+SfXB7cAuo2oiqvOS8dP750I3Tf98T2vccK16YVZwYTKrqXsGZh57Vb46nmrrpqVTBy6AgrpRcmZaZd0xuVTSFZlyoaM0rYVwzcbIreeCocVTFdU+j2SysFPeTkHziUfzXQGz010ngflHFVWHN0q80wUZjmIw9d58OJniX/6/HJx02A+H8R9v5TOgIvRIRfJ5zj/S8xHnuUpp5/Bc5MoGUSky6lfyzzjwy4jU9crx4x7nEwlDmZ48p7/eckfm876O7hx5TpCF0J1rZ9kcjDyzyf/gAvm8Y2LhaHdTxWGctqKuXGucEA99+Rrepjsi/cK54xVATfeOVB40DeIFkNMPHzpceqkg1b9i6vXE+tHhf57JA6nrN67OmbKoeS0zpRplyrC0a+oclip3kekJTLuceXCJPycGX5UGfSQ+xKP6GcqTW+JSKPHCVwrmShNSDjKOQE7iuIPNGglm0oXjJCcJ1LIefDZmwcLx/L6xJniXVt45J9l9EMJ8FfHCh+5dyzoClfk4Cizf5THV5gcxTTlIJkTVtSgbDysBXOBCpD47crcVZhi3plUEH9PL6wKJnG3VFKuv359sVNqBEI6ovwOh6nzqpwLxMmaH04l68bQfz+pPpiyM9PrpumE9jNK90MyDsVZXbPohVNmVfxcQ0v5IR1JT06SpoA/RYz0Ouhze/xK+RJPfD6L32YelmQXRTDcmHhI3piNhHOu89963b3m6bPjnLwtnYf0zaqDZUgkZ61jcc7zQ953ruk0WXTS8c8M00PeLcpPwkxSJtPjk2lUGEnzy4cnJ+O+Jw9begO4ZcUSn6JM41zEe4sqTylPtrgYzhe+e83RKx03r95xUf4pXQlrsBl3XY9Y5W9iT2/5Mp0E8VvHoZg34bCc/AyWrVD9oPySa0YeS/xcXSjJ8ISvHij56S+nBuKfdMoj8txfBgwXjG+U3jrlOuJeACctf6fi8e/q5JNzhaP7nyw82XWscNEb2L3xXuHgP0f4FZCLGa6Z9pAc9HtW2Sg/oupJq1xs6Uzlf0n3o51Np9PpfVAGcu7GI2mZSYaTnyE9LuHcD+pRlN57x5EycPPEml9x+ulD0m8vB+69+DrBk6OTLksc06c3TOJvepITTrREtJjQQCSLHTyt2D7ljIl4Gi6+eLDw3hf6pHCj8F7fg4W13ztQeO+Ttwo9MRnpZIBSYMdpRSilxSwk+tlQ4Qtnvk8WReRZixL6KjtPWcs4S3rCiuwqn9l4zC/+dqwGhVRSSp7huAeeNQqZ44/qwIffcZ0/3mGiG1+VRpuORRRwR0YJ9cElogJ0KuqL9nuBd8T/ZEaPpEXFS8mxLWBkybvh/C0RLZ8STpgW2TvOCSMoS0/Hop0Zn/JxCMrSJm9FqBKU51R4ARmWCPhr5n2EHgiik97MRDn980gi5xAxcfDwylkxj42OQGSYvs6Cm1ep4xZLOblrKsovV+4hVy4sjaPLZWRaIqh3ESy6PIMEy1uYYt2k4uak19ClyPogoG8iK+tzJuK/JS4+3ZNnbHkWcGGZiT4E5C9xlOeL8bTkkZdmH/Jcqc7wlw1TnjbZxsjbk5lVDhH6E4xfQO4+rGmxcFX58cM9hTcSTeNEU5RLTJ7580nyyFIXC8qPkP4Y/nr+mHVXuLOb0v8A/nyOIJXe2/XNez6urU2Mp+NRzolrZXofj13PzfbO56z6HhVWTD5q/LITv8y8W5j0xu/eZtv1JuiCuzNcO4csMlihT0Ms34BG5HHVOZlRR0B2s/Jncx47JycxabixjVk0zXvXhjwuzdVhzR36FFVY96NdqP38OF779WncuDdq48YZnLvSiJ0b1eHGbuy8ctTZkaJmy05gWMXpQhYjOxpR5zwrO3KNI3NPjT5TBO57yHMh5Nn17s5eJjMf59Gw0pNkHToC8rG6tmCINmrQPKiePQy0avnOK/6JyaF/1wjGV+20xH0n8ptLO6bMvKO06CEJXe96tqWj9OzhFjR0jxXPB7aY8Q7rbOuRBuSHw7u/zJwcQn7jBiWNJKTTB3dHoCb0nh9Hr+i3jouzS8r9jcj0tKJXlYRgnrtkkPGu/5lyn97AZ+6ZYgbTV4Da6jv1uUaFj9ad8iZ2dmaQdXZjqdO7yKi4nwEaH7ClVJXByw1ld5Ora7PL3nGDzUqGwd3qhBYMe8+o97C+C2PGezuvNBV3g1mxssE90IR3z6nBBiX7fHHH+RXIrNeHRWYwul/VI058FI4uDCFzahgt5706Jwq9k4y5W5px7Nu15tooho4oeXZKOoaROXNOvW0iO04F9S2BnC276sTv3mZi5PH9HY5s5bmhlWPouF8/EmD8ipbIhaOqzlZl5GO/j0V8O+4kwElHFo2Sz15eWEmZX879HkDkHqmHcbh53KryDkeyofpgviSWZ2pEnwL5X2b3NpPc2RG0SF26vBndK4ec55qu7PTXmyaX865uiZ4rnYWXrgjE/4ZQPRrQd6WTvryKcFG66kOlY0A9O4xWvevUVeTPG3WmophmH/KcPjRw62pTnqXj4q5WUr+vysTrl0rjcLAOdPpDUfX8AvK50pF94/jh4T5sSrwzaAJ2DDv5MtbdgJbDbh7JcYj1MX0+E6kbdqkm0+dPDkd7VLsl+ih6cjiD3lcDWpzU//mQWO+VHsXkac09mVJdkJLijnn7gW4to1A9J87p581P7xOj6t3WI6p/2BqIg7jWfHwfXfJb35f+lq1PGY3bTy3VCQuT3nijp0xFNbxDdWsCAUpnFbEdSUlIh5twqRCOKGV3/NPXDGq2dKOraCBVyGwe09/MoFqfOtz7MFruVcbWmVmsu9d3p8jMyR7kH2ouFrS6Ni9+bkeyaVceXY+XYhzqtFkzw9bxUQ3xsHq21d5g+wyRhUbyV3cUKo9/FMpYUXlrKmjRcLMaZuqequyy77jFxzEmdqnO5mA2uWEinaLhjK9j7TplDJwfQda33aJR0Sp823NKR9O5WiKtPoiRYDYUk6e60KAaELej4XbYwx0FjzzyuuGsubcBqz+chvnLCze+ADasNo111eCpdG/3KgfVKejQ6XLlqIwvZWg2WyvpGmRW6cMEiCEepZMrVppGSQCnQ6A6EtJ5djqvqvN5uQuNtTq/H2hE/qxu6JxGx96olDqStorNrFu8xnUgIt1B9ECAziczz+TY7IzlXu1F5rDnr8rLYB11TeVfqHJPIGfdmXN1dgxdYtSp8IMN39gpdRzs4E+rutTLY5GfdOwV4yGDTCP5oTqNjr4rOTUqg9Ker1I/KTkmGkxxyb2qunmnwvV5mJT55bRH7n3Rw/Ee17ALOvu2qmLwNCG7UeSoZRuBry7QAxeReu2RVJ5a99Nsh1ysN7WTdtcZQJCBBE9XPb0ItaMyaNSl6wap83TNFmX0iWEk9ZnEcbPKx42qnikOvFlwdK2lWI/6Cdb/C4vUsWZ9WkLanhY0Bg0oKZeWzrM7oKMM7eKgTOnYNAxLA5ABpvNFGdW1+fVX6oqo/lCkfwqfDu4a0Vcj+HIaoz0jyDzrGTzq/KQ1d9OjB1yalN6MqPbYO/aj9DNiwEH6EWY5MOsGMQ7yH+dUuWwFDht6W5uBvzeS3H+HYhlznQxylB2ASKP3FgPY1y5KPZWivjSp2TLglmcnvaq8nmlEt7VsCfPTeys2496pdyMGJKTeCw12CnqgRmTZqdKi6omekN6kZWHSW/GPk0qhbFXVvF8QUqkGR5TdEUhrR9lp5OMaR3/HppL91uc+mAR8HUQhgw1bVKi167DG2oF3la3YifQh6ZHM8zeEUoBHvE6bWMbFhqaEdJyDnU/nmjLtwmHFyG0RqDT+dqSD0Yp89/aYvA0jFUcJaehVb+vISOJRE8dQsxqPbqfB13EdNCpalV4Z+fQ6D05n1zfCn14fnHdUWfDyz+koayPSlaPq8J/psXR8pHNs+LXy+9i6fgK5f9Pnn04oebRgU32VviD+DQERRrNTiclfbxTLghgroZG1RaCuTXU2Lyu5nm0sVux1y3WsZQb48pAjD0dWlvSIjhYpU7E5M4VmQ1oWr5K2z/SUZjrMTqSHiouRj87Aj6XBTCZndzZCOtt5GVlTjacM/jSeKXXwm/YHDRmlL1B1qXrWGbXWo4SOjDuBHvWO9TclvNm7SWVwGrrqo9zMfQgZGEnf2U2bX8XOQcA5BkEIyVtXnqVOrD/PigTrAm0geR2+uN+LSCLP3Fl3lHvylHpGD/AkxZ2RcGfvnE6RaWiJXmx2Z59N8h+vcDqMcDrRqgNSTFcjsvKeZQavJNtu4IylU1lE6ep+1am31fOp9WY+SJ1ZGtSSuj3c9rhxDdcrXnmzz/SY+R3VDlk73oJuR22dVn9bp1iuyowx09Cj2pvi4F2oPfIz/btDmKhrRu0fJjDxrnJnTmDqy2X67jzRRrU5gFeaoSmDNohDnVKD8R6VV6pcmm1zVP0Zwua/utYeGPiUOqE0QBL9ez/J9F7py7B/gFOI+u096Scn+Q0cK9LGxc4uzkfvLYjsAoO35ZH6Xh86SJ9dfjtN+lciywE0TysjVLWlGXUu9VXaPnyJBUqvXuaWAnednW2Nqbker/g9h6xNjFoLG4eztjO4rtKypi+Kz84VDmx/ovDX31tbePCHTxT2/C6w0FU2NPDtb2/Hv8ZQ1iR6awxdOZjxk3Wg7lrHwHpCb31mQA7it/WjWMF5J379Y1Li16eWSBv/MK58wvlWnrAsXPk6sg6u2w2ee4jOVKprpj4Xz8P6lkYfvGumPJx0enGMKhvB+Fx/rzD0zJ7CgRcPFnqeOVB4Q+88GMa/ZtYXlvgZqU86nklkFyVjx39TVuKnG56btyIH976nZ6E89PTMUrcE8eeDhah4BgjpvPGeT34aW7i+a7HltoycDRkW608DN65+vyPLbGJcHY6WpRvnsmviDZw4JchDHwnzKx6Ja0BuTn7YZWlNk8TDF/eSHjvE5q9QRp5OHkt+heMUiS4XEl/RtWC8HT0N+OdeSxmOD62rkfkYf98JP60OWBF5JkmDK3cnzYFwPVmYeRKSj5mvTh4F89ieXkfXbXoboXcurl/+fDT0TN41/SzqpEUWzpbVOt2Gs/+OW3l8cpHvaHV65boXX/PYjpaVLf1F/VcuJDfvvbjyJcT4H5Sdwl+XltMn7XeU7hr1Q8lf8TM6zpF1TVnKxMUhnd5bqaROcgjGz41LKa22fIqXv8Q5Pr7zT29KoycmwkFlcwq9G7myGW48W3RRGW1R6sWkmAlOHO0VYXT6ShkUekYULZgOs0KwvVMhUujKKr6VmPgXMZQwYZydhsJ4x3GB/LZ1+kz5RIYTkKHp4mTgj1N0BZZUH7wC6PlV9N9SUMNpEZlGxyGa0nvWPLfpnEEpzuJiKkCrjI34BsqzXe66QqyoLMu7MfHT+NPjd47MTXnE6I3rJH0Sri1fzDKQNl7B5/3lqegCDYsT71TxD8fLi0f5MqvzKuSn58J+W8t40dllVDa/ojD1zadPMeUoKC/jvWA8ktadyeVZCRF5UIy3d1+l16ybAmXR5kLx1bIpV18G7yetQ9MheVi+TFkp5nEgLqnkY4ZtyQNrP8Wudz69srxntnl+HVwoWZahYrlojDKVtMwIpt7EvpfU/2DZtuaRhbJ6H8xXXRfHviPE1EMJCNWL5dITpfcmPhkliVspraaLruvcsmKVi4Ttq6dLSFrjZWkhSXoNvib/6UkfQsjNwoV+9KPDvo72dufaKPrf2VD8bokQQgghpBw0egghhBBCCCFLmoo3MiCEEEIIIYSQWwEaPYQQQgghhJAlDY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkodFDCCGEEEIIWdLQ6CGEEEIIIYQsaRIbPbnBevRf0Cc3Cb44XRtF+2BOn9yezJxsd+VxoR/tJ2cMmeTQ3zYKdWXBmPtwBHt/2YdDv+7E3ueymP5S3xA+n8LIL/ei76V+dO7pQ3ZaXxe+nMZp9U7frw+hTz0zPOmP1cz5Q2jftQ3bHn0Mrc+d9vtrMHum002jjd8P4zGfLsxh6l860fm8CvPn29B+eAIznr9z05i6MoM5fT774Sh6jxjvTmfR392HfhXn1l19GP23OX1jAZD8iciX3GA7Rq/pk68YKVf19TdReTfKtsQtMt8JIYQQQiJIZvSoTnTrEWBkl9sZKrrIDpvbYZJOuNNBUe/XlzNIyhotMxhtq7Aj5hkBFSHh9iuzoQw3gdFV80Aj8mdLcZh5J4vMQ3UqbnnkV2UQ+/v1aeI/PYo93XPY+exe7P75fjydGUH7kSn3njJqRjs7MbejD3uf6sD+n6zESNswphyjYg65F46j+qn92Pvz3cpY2o/7zvbg+B+cN4Erx9Hzzjo8f/gVvHJsAM3TnXi0O4tZfbvIXA5Dg6f1SRCVX//rIeT1mTD79gEc+mI7uveoMJ/vxndOPo09v9GW2KcTOPRoE9Z/19Xph9vGsW6jkplDHiP7xlHXvhcdKp0Dj11H75P9mJiX3aMMUK/8bO7F+PleNOlz0dEFNXZS670bt6GVY5icHENmWMUrUicqNKTnWU7q2iax80pT+XR9JeVR5BVTN1jk7w5MlK9TigMYhBBCCFkQyhs90nnYNYKGbukITWo3hq71DejqbLZ0pHPIHmlB4/3A1StA4wPRXW1p2IsGlHQAj7SWzsX5OlU1aB4cBnapzoIYUeq+zxAz3g91ND42u8DReCPcfteE3vMjaDWvWTp7YmBg5Qp9Vp5wWPGd3fLPqw6YJwOVX+M9TWjqGcfI8ChyKm4+2er4p5O/xxwmXjmA8frVyNzhXsmsrkP+5TeQU4bN3OQIDpxdh9Wr3HtYuQZ1Vw7jjQ/k5BLOvQ5U3encUVThP6jnxj9wQ5l6exwN/3Gduqq4oxaNWzZhbmwU44FI5E+q9OnjIHPnj+G4ObOkyE+9gfHBIWTFnzuWoWalktbZiWLaVjzRha62vdh/+DW8PdaHTbX6xswUJj4YRe9v3O5p9TfVjc+PY/xD51RjGDGxzsiv9V0Yk3J0qgsN3vHhFn1z4Uiq9+pJZ0Chvj6LRhWXgS1SZqW8qXg9lHXiH+qAm4a0Lo+uC3fm0+mZFxfDBd6Rci/6bRpkyY3FpPlVZoBF6sX6IWROdcAzkYPY5F+zZScwfA4bWoGhGMMtOIDhI8aYFVmnM3QJIYSQ24RCHJ+cKLStPVi4qA6vj7YV1g44R4UTP11bOPi+80SY9w/q5y4WDq5dW1hrc859E/XsT08on9NxccCIh8Q14K/ct4YvLnF4kl5XBkFi/fdcMK2OTL3rZrq1vBbq+bVthROfuJcuDtiPS6SRv5v/vnCvnig8tfapwomrWk+0zrhcLZz4h7WFp/5V3dTvPvqPJwqXPpN7NwrnfvVU4djH3rHy9++OFj6SU0F0yUiHwydvFA6+ds7xp200EOMbFwtDL54rnJN8MeN3/WLh3DtXVQjCpcLQI2sLjwxfcs5EXgeD/hS5Ubj6zrnCRX37szf3qfjsK7zlxD2OMmVE4dedcP7Y8ykZafTeza/yYbl+Gs+pvBH5O++bfkqeRepSGj0zsJTtIBIPR95F/TdcmXcFSV9InyII67ifWPlb4uL6Z3k26PS78nx0XKPrK0IIIeR2JsboCXdQvMY5vsHVHaOi8RM4tnB9VHWgpCPtNO5mB8zt2DudGaMzFdupEGeJd1wH1Ia/I1KuE5G0oyHpMdInHbRAXCVtpbimfN6TkfrbNnpR54Uhw4h4JpJ/EbdD78vP/LHCE/o5V25mGB8Vjm0vPX9Dxe1RCef7TxX2de0pHBwvpeb66X2FJ7reKKbvo1efKKz93oHCe661olCG0cALhYs33DgE9fCjVw84cXf0I0LfbkwcLDzy/Z7CW3/UF8To+aejhRf6DhZe+Keewp6+E4WP/l3fM/lCGW8/fbDwxH/VxlIMZp64xouSYyDfHKz56crfavTYOvQ2fzXp9F7na9B/5azlXXRsQFxYzlEGW3I9k3NDh5x0mzrlxtWXNtF98VfLw0y7o5Nl5JTM4LHofgzp5B8mKl5l/XXKf5L0EEIIIbcP0cvbZPmK8b2BuB50O8vbutWRuQykuMzkwlH0nh9HfnoGo8N5dD0etfDD4EI/mnryaOzUS+cOZ9C72fNblo9MouN+9dz9HZhszaNJhSXr+ktL7YbRov4NF8+VG/Qvu5NldhlnyZJ9aUt46c4oes40usuOHP/LcRV5ZFBucVtusBX57m40L9cXpvMYD3xrU/d4V3FZS6rnZYnR2UYj7SvQPDiADe8MAd2en5Z4JpV/kRqsqVPC/OR68Vubuekr0F/0oGbVd1CL67heuokrxnKwqvu24+lHVyNTdRGnT53DxDuXipsK1DTtxys9m9z4z+Uw+koeDb9owTpnvZvi98cxce921HnnJp9mMXqjuSSrIDPjOLSvHU/9ehpbD3ag8ev6+p8vQ9Xdddi1pwO7f96Fp+85jm2D4zA/25n6TSf2/mwPRr+5H89vW62vRqB0ZwjDRZnVPd6I7KvA9o1ZHPX0zFsOJsu2imUsZnmW9/x+lZWmnis3pvxtsi5DTKv3ejmb+Gsuu1POXe4WZvyI0htLGV+xEqoO0CceqfSsDh2HgVbzm5z1eWT1sq3cYBOyG8eM51X6do24ywa1/pfSrlK2ZQDDq3pL8jfRZb07Io1FnOVsPYDEvy1BvaZIXe8EkKVwmZ6j6m0/V69ELe7U3N+IzJlzVp0ghBBCblu08ZMMy8h0CRkFbXNGckOjkDIKaxsdDfnnjvjGjco6eKO6Ec4fvsQrySyMgW+k1DKqrImdcXLSYI7wB0avFfaRXO+dtM9rrLLWMgjeq1T+n7xRaPv+gcI5Z0bkRuG9F58oPLL2kcLQlJxfL7zxs78qHBh3p2duvPNC4YnicjK51+Ysgyt8cV2992ThQRXek6/JBZMbSrZPFJ548aJekiaoNPQdK3z0hT5WeVKShXr+xYM6Pjpfokbjv/iocOzvH1TvBsPUOLplX8J2Y/xA4cG/U3K0zQRpfDNv5bCUp9iZHisiC9uzOs/1WTQ6zxM4n+7F1AWhmYiK9MzNY8cfeV/lp8hE6pdgGfBkXpSZLW7ajyBlZ008rOUqjqTyN3B0z5S5iptKUzDc8joWpROEEELI7UvMRgYRHxQHZn8cN5jDzMke5FsHsNP5gD3wrozC+j5ellFt9cz+PHZ6MxPOaLaM+A6j5XweV+VaHDuG9Wj3GLp2lEalx7ob9AOaa+eQXdUY+bFxFONXdAwuHEUWDch/HB43Lc44HW4JbPSgnJOuOjSuyuKcjODLzNl6c5ZlBufOWDZ6kOe8v6mel5Fom6zlw/IabNiYR6u61yK7uTnMQ/7LN2Hg5QZMPNeO3l+/gbvrv68u1mHl/yA3a7Dp+VfQMNmD9mf78Ub1Ojh3v1UL/H4Uh5ZvxQ9l9PuOGqx7ahivq/y6ZGwqIEyf7ER/1TN4+ak6d1MDhWxQMNu8tbh5go8rJ3Bu1U403KXPg8zNFrekxh0ZrPnLOYz3HEJ2Vknh7T50HpnyzewAs5j9/9yjudnSnapVq7Huygg6j3nzWkFmkL/cUJxhsGOM+gfKU2UfoNcg420aYZJY7+vQYeqtuMBMj+dCMz7ldgR0qFTPZOZJdpBTdYWeNapr24nM+Rbs9MUjh+zlLmy/X91/KIPeV3PIvdqLTKsOrwzmjFAs93dgbOWQLk8JSFvviFx2wT9jPdmNxoca0XJkyDcLuGKlv44Lb+Ig5d0y20YIIYTcxsQYPcZyF3HSEZLL6xvQEuzgt9U5S0hKy00C78rOVEUjRdwAmpfLM3rnI+mwOw2+XHc8iMRp4D92j2dO9pcae+VHv6XT6NtVTXUsEnUsVQdnGNpwUPFqVB2IzD3RXSjZpSnqfnGpz/IMMu4lF+kUoREbgun1lrClfr4ZA7IUz+isDu9oQJfeXarmHvHN3VXPpTL5O3w+jdzsGnT0DKDr583IzF3H9R83Y0O13JzD9AezWPOT/RjY14HmVXO4/ulWND+kbn7+Gabvqi4aMkLtA41Y92fF7dwwp/Ko90oLXtIGz9zkqLPr2qXLH2Div3aic5+4Hhz/UOnC6z3ofGkcly9fwdSZA/peJ148q148+6I6HsWU6qIe2vgw1u857TOsxLCZU/bMR+8fR/ZCvrQt9hfyXzWq/1zl66l2rH/4r3DI2XmuxPUbN/RRkAgDxIfFyNAuahlZLCrvhi6H9SK93rsDFf4lV+4167uib9ZlXq5xXjIkKtEzzzBscgZSmot+KdmdymDINDzE6PeMr/u3o+tyK1q1EeRDlRP77oqyHFcflkHquMnJRmQTGKjp5K/kLMuBQzvB1aDu/malL355+XZ2i8h/oThQIwaVI8+YJZSEEELIEifx7/Q43xOI4bNqJ7bLNz0R3xFUgvN7MoeDDb4Fr4G/R58jj97NTeg90oumzb3ujIcP6YBliiPDubP52C20TUrfDakORk/C0eBYVigjRs/6SCdnv200Wr5N8L6FSvu8eurkEEa8DqCvM6Sf6w58J6FJLH/NzP95AK1PHXV/r+bLabzx+lU8s01vNT2TxYFdT+Lo++4MyfTvjuOq913OvY1oeT+LCeOHd6bfGceyzQ1unD9XBsqrQHP9DVx8dwITyp04mUf111V+7HgRA8/ux37HdWPrverao93Y/1QDVm3ci4HnvHv78fRDyq+HnlbHzViNZVj2Fxk0P6IMcwlDyTJ/GahqakaDurCmrgUtOxr1vTlMnFWy2LXVMeCqa1agVlm9G/7CuYk51XGWb6J2NUZLSoxcmW2Iw7eFc9ElnEEwcLYx36xM4dDW8Sn1XowRx8AIf78lsy2NZ/zbQ8ci3/XZjHNFIj1z4uJ+4yPlzx8fhRhb8r2PKa/LeZVihQwMnFd/QzNQrv7bZFD3UAtGoraGtuIarfJbQdF1YCX1TgaZWEPQYPkGNF52Z3+iZrXcQQ6X3Fk9g3RK1WXvLFStTQghhNxi6GVudmQdvKwt99aUm+vi9b3g2nLrevNy6+Hlfuz6fpei3zH++dboB55L9b2Fg/vtQfg7mgBR8Zfrwd3X9Hp923cJct0Xv7TPC06Ycs/7nsBNg/dcZP4kkH+Rf79UONq1r3DgxYOFnmcOFE5cLn15I9/XXHplX2Ff3wuFg/+4p3Bg9CPjuxzF1XOFg8+0FXr+6YXCgS51/7T3bc2Nwnt9D+q4G277sdIW1sLHbxVe+Kd9hSe+t7bw4M6ewguvXSwUP7/57GLh2IsHCk99X733d3sKB198q+D4fv29wpCEJWH+7IlC2z+/V7jufBsklOJ74BdPFPYE7n00eqCwp+uAE+aTO1Vap8rtV+1+ixInz/B3JOHvP6zf9Bj6IC5SL9PoveNn4NsTuRaIv6NvcWVY61nsTodp9cxD4hMM24ijVxbcsAPfs+jyEFeGnfcriJfkozW9aeSvifQrCk8XYvNEo2Xg3zGPEEIIub2INnqchtLSGQo0sm6Ho/SctYEPdAJsuI2++BV2jn9mR8zqX+mDbDd828e8pWdMZ+sQefEp11kpUuxYmK58J6aY7oSdrujnS2lz0uN1ikIdHfWcJayy8iep8MvTnwd2WWtdKeZbig6wj3nofTFs5ZJ0phVmWpLoSTo9C+h0CorhpC1X2qUq9z5ZLZD8Ay5t+gkhhBDi52vyn570IYQQQgghhJAlR7JvegghhBBCCCHkFoVGDyGEEEIIIWRJQ6OHEEIIIYQQsqSh0UMIIYQQQghZ0tDoIYQQQgghhCxpaPQQQgghhBBCljQ0egghhBBCCCFLGho9hBBCCCGEkCUNjR5CCCGEEELIkoZGDyGEEEIIIWRJQ6OHEEIIIYQQsqSh0UMIIYQQQghZ0tDoIYQQQgghhCxpaPQQQgghhBBCljQ0em5Hro2ifTCnT25RJA1to5jRp+SrYeb8IbTv2oZtjz6G1udOY/pLfYOQhOQG69F/QZ+Q+XOL1eczJ9vd/L/Qj/aTqgYvxj+H/tR1+gxG2/qRWwptGiFk0bkJjR6pxLxG0T2urxfXjtFrqlJ0jsWpis55fh54la6BWyHrilRf8yNxkLjo04VEKm4zXV5FruIZ2UkoV9k7fnoy025zL8aPtPqviXMaHFfmRbnY3vecGa48l7bBssg/EiceJdnkXu1FprUZNfp84QjkvY5jbrDyPJdOniczyUfPr2Ljb83DSjoALl54kTojqHQV89GIWyxXjqPnnXV4/vAreOXYAJqnO/Fodxaz+rYfKScBXV4UI/UmK4+3OlZdXEhyyB5pQeP9+nSp4eiMv1xFuorlbLaDytnqc4vfxfomEVIPpixXCevzmgcakT9bit/MO1lkHqpTsssjvyoTWafb41+D5lZg6J0N2ImhUnzN+iYiT4p+WerCkLPUXfNpEwghfyIKNyXXCyd+urZw8H19qrg+erBw4hN9org4cLBwUR/7kXej7vm5PtpWaBu9rs88LhYO/vRE4fr7By33BHV/bZsvLgvGJycKbWv9cb84IGH50yTxXrt2bbST+OtnXXSa9JkTzoARSvDclH/oXgRJnzOwy9+Cyou1nlycY5XGYlhhXZkfQf3R5xHpuzgQkL1FN9w8lL/aX+2XpF/iHdRtBzM8L82OM+MWRuLjyjS9XLy0RL1zabitcCyvTxSfvbnPSe8b1iyUcmLENbI8+UkiTz9/+vIoJNblSoiRXThckUdQhnZny+fFSEc4T+2uGO5ipzeV/y6xaShT7yWR6bzkHqybIuoqCSOc54G2oYjouFGuzDooIr3J0hCRXyoOF9X7wWumb7b4S75Y6yuRgfe+eazxvSdpi5WfXUZevW4SFZ/56A8hZOH4mvyn7Z+bEBltakLveTluQNepnchvbsWIc68Fw5MdqHOODWS06ePtGNgSPQcgI+GtR/RJkB3DmGzz+yojTE094/osConfAJqX69NKkBGpzXnstKXLiswG5LF9sNyMh4wMenKLwJJuB4nTqxkM2O6ZJH1OESv/9V0YM9NjyATyHlQ8H8+ra1k0an3AjhaVtkZ7/FMjOncUmcEyeeDEqxfjjtxg5IOWtSFPGRHMP67iul8905pH0y57TrQcnkSHNwKu9bgbPWg601iSiYxKDmf8MnJwy0p245ih+7ZrlTKH8efWo13lw2uvtyAjlyQuu/IBvQ/rmqSr8awlz828TiHPm7E8unks4UWVNUt8HPnZdMFft0l6e5Qm2PMwmb5KmRtaadeD2PLoEVU/JKAkG33BgpnGxU7vQvivQgjppUcl+plYf6ajdMZCoC6VeB29Z6BUx2j88jDDd8PMvKr047Lnl8inB+g0456iPvfwyrshB1NPbDpjj7/EV7UFxfISlJ/y/3AjssNAtxEPiXP2IV3fRpZDg2I63DrV7ZMYFO+74cOsy63oeM6jXBFCKsAxfW5agiOqUaNSHuER2DjsI1/lkJGqYBiBUbFKkREmb/QnNp0uMkPQ9lNvxMgM3x1NK6UtILfgSFZoZMvAjJPPBWQQHC1LQCr5Szx8MpE0emlOl+/xBPzy0h8c+TPlHYqbesIY8XNGBN8/UThYHAWVMFw5tim9scpNRqMHxIXvhUYYdRyjZOmMMlr1ydWTYN5GjoKf3ld4ouuNoj8fvfpEYe33DhTeu6EvmDhx0nIMxU/CNfMrnTz9BP0SvurymEb/DJlHlRdnVL0U/7LlRHQlZoQ92Qi8sJDlqIRtRDyIGcfFTu98/Q/mT5CS/355luQQ1M95yl301NQl37m9jDuuqNNRZch9LiiLqPwsK1cPkZ+E7cj5opaFG8+w3MrH35rfXhhybJZjwxXjKs9Gyk9QcQiVf9s1D4lztH6U0x9CyOKxKN/0/Pa3v8UPfvADx8lxKmTUxVlHK+tla5BZNYJWb13tYB4Z9KJJn4fWD184iuzG7WVG6EpcvQJkauVIRl10GIazrn+WdcfrM1ihTxceGeWdxKTMCEg8or6DUHJq6smjsVM9K88fVpLZ7MV9CJlTgZGm8yW5hdaAOyNuGhmBc67r9crTeYzv6ELXeh0vxw2jZUdjSM4NK9NJJbn81X2Z2elsxtVB776M5o3rNMvI2wiGkn4fFEtA55yRfpVmYzQuN9iKfHd3aRRSZBRYi173eJdv3TpqM8CZcxh14i8jpZMY625ApnUAkw9l3bAC6/DHj6j8fTyszStWAvlp91hGP+v3A90qjjKb4snOdDKiOdkJ9Hh5WsxjGSH18tRzY2g802TV/Zqm/XilZ5ObzrkcRl/Jo+EXLVhX5dz2Iev0x1UOZeX7uP0qnO4W5D/W+RMoQxXJ0+OmKI9XITVTsjjUocOTddQI7/0dSjeA7DtuSFevlJk1uL8RGaVbVu1Xed1zphHd1lmNIGnSUQFFvTOc5duTxU5v5f7LKL+KszMr4NU9lnbIR6kuiZ5NSyd3p8x78hNnq8+PeN+3lPRteIfMqmjdk/NVvTjqlPM6bO/OB+pPFafzqk7vts2WZZAxZmA8EtXn0r6fbcRkcdZlBZoHB7DhnSFViXll3JRH+fjXbNmJTM9RFaqHyqdhlUfnszjnfXMjMzH6Pdcvfd0jJD/zGynLzJvUO5bvj2SGavSaivOpRmRfDep2JfpDCFlQtPGzoGzcuLE4miLH6QmMhJkjL6FRmBIyAuXNfMSO1DlUNromo0rhEVp/fJ1ndPqjnWWkxxmRCsTJGRUKpEee840y6dGwyJGnADEy9PBG84qjaM6onOu7ddTduG8jPBqXVP7ynCuzUpgB/RBCMqmEJHKUZ/zxto40ynPaH0+WUSOkVmLSI+ElGlGtlLL6cUOl5YnCEy9eVEc2JO1KJkrH28wRW50ev7zSy9NEnr0pymOZ8pQaw8/oWS4PS3nQJNEVZyYwJA/tHJnbZZ+Uot4HddpIo5nnX0V60/rv6VBYL13/zOulOIg/Jf0plf+A//PVn0Tv++Mi+GQVyBs3vTYZh/1xiboegZSjUJy1H9Z79nrCi78vT6UtkllyJWMnTUG9U1h1ICTHaL33yc4gqo535ZlMfwghi8dNvmW1HhkxR16MY99o9LVRDB2BnvkYtozUyeiTuRPTOWRXhWcr4pnBuTPjaJGdZnzIqFhp9Ktmy0BxRCna+dcrR3J/h3rWHH2XkfM8dnojZc7MmMzsDKPlfF7FJIBtdDU0kqVdaBRb0qtk+oAKScVj55Um5zlZKx+/XjmI4Y9HQvnPnOxxvkmRWREXyUeZ2SmNlDlOzwQFR94S48hJz3wYa79DhGYWLGkT5Dl96OHN0Mh6colz+8mcq986DaERv5idjPzYR1ZNt5CjidMnO9Ff9QxefqoOlkkepZNZoHWnjAdjZ2cGWSfsOmzfmMXRCwF5zUOe7rN/6vIYxh3t1SeVMq1Sq2dOV6z0dN8l7H8NNmwszf6ZlEbfo6lr0zI43OKM7Pvk4pSFOjSuMkbNF5nFTm9a/71vXkQetu+A6tpUe+ObaZgfsfpTaX0u9W3cbNLyDWhUJcxpP5zZsgxa1jt3AkTMSiVtT734y2yHL87SNovc82hV90JlWsq/ZXWBh+SpO5MsszzAzsflq8NGdLfmcfQddWiudFDOnHXz6mPrDI/xXqm853C0J5N4B8KvWn8IIdEsitHT1taGb3zjG46T48qpQfOganhPdaFBPviTRtg4NjvezhbGh72OywpVLQcMgEClKctvvE6FGA6JOoUXjqIXXdhuq+wWdYmNKwc3vXKsP9qUBmQXMBzXYVvejAGRm+PG0CUNmZKfGBFmB2fslDoOdvanpSHb6fqtwhKjUhiPWloShdPgNmKDEcek8pcOa6mhkM698snUB3Gqs4YdOp4VIYak+Fvu42XFcunKG1jS5mBZouV0yD7ud5ebSZxFT1fJkg1lsK7v8i/JkXyzLn9yjYJwx85cfhhwTljJ8eVNgDmVV71XWvCSNnjmJkeR9WWdyqPhTKmMqHR06HTJMhTsUgarp1PCPOR5c5THAFJOMB9dFJQMd+WLhp9vi1/x/7JFPori8kEf41bjwMbMx6o7e49PwkXMJZWLzWKnN63/xTpIPVs0OHwDRKocWw0EIcnyNoNy+uPU56q+KFPenbrdqM+dMr1xg7/8+PDaFV0Xdm73l8syJG5Pvfgby83cZWtu3Vtzj4Qa3tLcVieZBq6XRzJIlm816vH7O9DxgPobs7ytaPQH25VAPL3yPnNyCPlubxm9f8DJlsep9ccZyJTnFmDwhBDiY1GMnkceeQRvvvmm4+S4cnSFEjHTU1oPnkP2crDzo4wco8LwV5rSccxgp+6M5c6WOhjRSEdkBC2234a5kMVI4lH5hUPSlDmcoKMuDZkzo9CkGgRVgavOdM2Wbme02q1c69G0P2jIqM4D3I63MxKmvxtxGgPn+5DA7IF8s3IlNM/kEP5NnUrkL8j6bpVeaTjlOxiV/876dlkj7vvmJuJ7rFhKMwPxiEHtjXpLB8H2e0Fup7XL+B4nu181iKpzlXlgu/vtjdGpTYXT0bd30hYE1eA29ZTyxsfnORx6FWiuv4GL705gQrkTJ/Oo/rq+r5AOAaJ+P0nKify9nDd0rTJ5utdukvIohpuZpiNZFbsKKHaKZPcnYyBDRuEvu99oRP0+ldtZDFP3UAtGbN9CzYPKypcm+G2hvuxjsdNbof+5V2VgxK0DxzZm0eS1P7GzKCXjJPQdiUdF+mN8dxh0zjcjJjIzEZw9jRg8cb6LNb6vC2LMuOYGvZUT6epzqSOK5dNndOpy3q2qEN+3Xu7Mir9OmkH+crjOFgMj1SoE0xApM9PjGCrq+dI3Y9Kuut/PukaS5LFegRBaNaFSkVB/cmdlIFM9d0oZ5/q7PkLIAqGXud1UyBpXd025XsMra3z12lpnbWxgna1cC66J9V2TtbrmeuDAmmHr+l4fsp44et3tgq3JDcazHIZcIpFn9Nps23pjV9b+MEPyT4Ssxw7Kwb0WWp+dWv5ufprPlOJok72Ea19bHYXjX2gdeQROPtnD9uLlj6s/Lo4OS1hO3pTSER++q4P2PAmvd/ehwimnn06cIv0XbhTe63uwFFfPbT9W+Eg/4ccfJ8d/T1eddBvhpJSnJ4uoNMk75dKbiMTlMSD/YL5qF9Lx0HMxYXkySqqjBo4My9UTgsTH9pwTT1OH05WvqO8cTHz1tbDY6a3Af/G3lIc6z7U/Zt6WylKcM2WSVn8CzwdR75uyNGVbzAuJd6yMovJY1+kqPsUwJL6GHP1yiqCYRi8dbpn23jP9KMVfwtbPl4u/ed/yrC2Ojt4YcvXyMTotQRkZ5wGZCEn1pyQbm/wJIfPh5jN6pMB7FVSx8Ec5qaCMitCHW4m6z0VUTEXMZ0uuVNEGKz73WvHZ2MYjBU4FaEtLNHENrL+CtTxTrJT1fUlHKvmXl2O4wUgrfxdJ58H3S3I3/S3KwMyHco2iBbfRi3LxDZA1Dhpfp09kGupoqfRHxNXM37AsPSLy13CmLD18upNSVuWROLm6LHINhW/qmYVoed6c5TFJx/5PiS+vlYvUJWuZt8ggRfmKlY0RXrR+pydxelNhK2dh2UjY8eGF68B0+pOivAfzydFp95m0cbRje84ePzdOpXvOeTE+Fj8k3pXG33zPeMd07vul+ET557ULtjo06Lf1mSI2uaRr7wkh8+Mm/3FSQgghhBBCCJkfN/nubYQQQgghhBAyP2j0EEIIIYQQQpY0NHoIIYQQQgghSxoaPYQQQgghhJAlDY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkodFDCCGEEEIIWdLQ6CGEEEIIIYQsaWj0EEIIIYQQQpY0NHoIIYQQQgghSxoaPYQQQgghhJAlDY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkodFDCCGEEEIIWdLQ6CGEEEIIIYQsaWj0EEIIIYQQQpY0NHoIIYQQQgghSxoaPYQQQgghhJAlDY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkodFDCCGEEEIIWdLQ6CGEEEIIIYQsaWj0EEIIIYQQQpY0NHoIIYQQQgghSxoaPYQQQgghhJAlDY0eQgghhBBCyJImhdEzg9G2etTX16P95Iy+ZuHaKNrVM/X17Ri9pq9p5s734bGf92N0chpz+pow/ZunUb/xMWx7NqtCIYQQQgghhJCFo6zRk/+Xbah/qAntv7mkr1i40O8YQ/Vto9FGy5dTGPn1ceTPHsfU3DJU6cvKFEJ+agL4NI/Z2hWo0VcJIYQQQgghZCGIN3o+H8drL02pvzMYf7Ydvefdy+M9Ta6R47h+5NzLdubyOP3s09i75wAOXQGqHn0eHfdPoO/JToycVYbOl3lMaX+nX1AGVtFf7eIMKUIIIYQQQggpQ4zRM4fc4X4c/1yfVkrVClTfcRHZs8o0WtmCl9oakD+m/P3gNA6dn8adf7iIt6b1s4QQQgghhBCywEQbPTMXcW7qOvD1Ruw/NYnJyTF0rXdvNXSPqXO5Jq4Dde7lCKrQ0DaAllp1eC2P/OQIDryQB+7aiueVAXT13VFMyWOPDuB80c9JjHU3yFVCCCGEEEIImRfRRk/NnZh7dxb4NIvOzbLUrClieVs7Rj92r0dy1zrs7m5B7efj6P25LIerRcuvO9Bw5xTefkVMnipsfXid8Z0PIYQQQgghhCwMZTcyWCiq6rdj90PucWbHfuyuFxOnFg0/aUHdXRlcOrIN/e+ae7oRQgghhBBCyPyJMXrq0GEsN4te3jaA5nvc63HMnOpBz1l1cN9e9P2kGm/seQwP/yyLZU0deObJWeTezWPkN1nMuo8TQgghhBBCyIIQO9Mzc7LdWMYWtbytzO5t+nd7mrrH3d/m+aAPj333MfS+ncfs+SGMfgis3tjifhd05g1kA7/tQwghhBBCCCHzYfGXty3PIKMPg1Qtr8a5C1PAt9Zh071yZRyjZ7mVGyGEEEIIIWThSGb0rO/CWHB526kuJNtfzVgmV3ynBcPq/PypVzD8xGp1nsG6H8lfIPe7c6DZQwghhBBCCFkovpKNDKZ/8zTq69fj0KS+oJh8uQnr69txWv/yaOYvf4i6h7Zi75MbsMy95LIqgxp9SAghhBBCCCFpqdzo+UJ+vlRzf4c7kzPYbDFQ5pCfmlB/G7FmlXtFqKlZo+6M41JeX/h2C4Z/vRdbH6p1tq6+PuPdIIQQQgghhJDKqcjomTvVifotvRBTJoRpDAlfXsLEKfV3/Tp85+vuJSGz5juovasGU1csxs2XeUzob3vWfcs370MIIYQQQgghqajI6Kn69mqsc46q0diz1d15Te/SVjKGqlH95+rPHy4hv7wadQ+t888CfbsVJ8+O4cVHvW0OpjC8Re8I993H0P+BXKvDw/W1zl1CCCGEEEIIqYRYo6dmy4B92dqq7XjR2ZzgbfRt1kZJTW1pl7a7arCpZzcaq9Xxyq0YeP1tDD9aznhZhlpj+VvV8gbsful5bP2WvkAIIYQQQgghFfC1gkIfE0IIIYQQQsiS4yvZvY0QQgghhBBC/lTQ6CGEEEIIIYQsaWj0EEIIIYQQQpY0NHoIIYQQQgghSxoaPYQQQgghhJAlDY0eEsuc/qXZmbPHkZ1xjwkhhBBCCLmVoNFDYsjh0Hr5wdj1aPtwDTb4fqyJEEIIIYSQWwP+Tg+JIYfcu2uQ+csqVFfpS4QQQgghhNxi3NwzPdcmMPxCFou+qmomi74d2/DYRpnVaMXxP+jritnz/dj26MPq+sN4bMfTOP5v+sYCMnP+ENp3bVPhPIbW505j+kt9Y6GZncLoc8eVKRNgNoeRX+5F30v96P1lH04b6b90NovcO8fRfyQHvdKNEEIIIYSQW4qbcqZHjICeI1dQfdclnP5iJ8YGm1HRyqovZ5Effw1DH96HZ55ah2p92c40Rns6MXomh+s7XsHJXav1dcX0KPonN6BjSwWx+HIGud8cxWhVM7q2ZPRFgyvH0f6vGTz/83Wo+lLF4WdbcKC6D2PPNpaJbwp+P4q9/2sWVXfO4vTbdRie7ECdvqWkjdG2Pbjx82FsXalOPx9H746LaP6X3aiT2R0xwO4Apl5+DG/85WvouF/eIYQQQggh5NbhppzpqVm/GwMv9eFnf2UxEpIgxs7ZYXT+42uYvucx7C9r8Cjm8sh/6xk8s6MW00dGMWFMa8x+OIW716Q0eMTYeb0fnQNvAQ912A0exdTb42j4j8rgkZM7atG4ZRPmxkYxvpDTW99uRt/gAPZvK5k6RZRBNHS+DmvE4BHuWoO62mGcnpzDzKl2PPZK3rm8rKYW+Y+5kwEhhBBCCLn1WFobGShjZ2rsEPbuew3XV7Vgf08rGlYmnC+Zuoi51RmsbmpB3efH8drbs/oGkP+wCvf9hT4phzJ2Jo70Yu+vz+HOjR3Y//OtqFuu74WYw/VPxtH3ixG4pgVQvWyZ8/eGdYnbHPIf5O3LzD7PI3cl/QK0mcsXMV2fgRuqUIVqJbJzU3nU1DZi5ybXWLt6ZRrfWcWdDAghhBBCyK3H0jB6tLHT++woPrtvF/qea8W62nRf3k9fnkPdavXOtzZg031A9tU3MO3cmcLk53VYc4dzEs3ctGPs9L40gbu3dKFvTzNWf13fi6QKa/5yE1bfuwx36yv5qQngrhWotb5bhRV3jOPQ6wHD5/MpjByeQPXyCnYb+EI59dqd7pmiGsu+qeQxewO4bx3wryM4ffIQTi/bj5Z79SOEEEIIIYTcQiyK0fPb3/4WP/jBDxwnx4vKTBadTZ24eO8udHW3pDZ2XGZx6Q+1WO1MZNTih483Ah+ozv6H6vTaJVzPZGKXx819OILWXccx96MudP1EGTFljZ0SNU378UrPJvebpbkcRl/Jo+EXKh0Ryai6twW7V72BA79xTTLId0AH30Ldrq3I3OVeSsPVK+P6yMIdtdj0VAs2bdmNvU+sdpfgEUIIIYQQcouxKEbP4OAg/vjHPzpOjheVmkbsf3037j55AL1HJjBT0c5neVxCRv1zqX74MWy9axqHf6f8y+VQtTr+2yIxRF56rgH5F3pxaGwKsxXFYQ65lw5gYvNLeH5Lrb5mp+r+3XgmcwK9v5nA6HMnkPnZbtRVYPAIK1Y26CNCCCGEEEKWJktjedvXV2PTT7rQteVuTLzU6xg/02k+b7lyCXP3rtEniqp1aN5Ri7ljr+HAmRuoS/A9T1XtOrR0d2HXfZ9h9Nn0xs/0yU70Vz2Dl5+qSzSjUnXf32D1/70X2dV/U7HB4/Bnyn16A5+5Z4oZTF8BaqtLC94IIYQQQgi5lVkUo6etrQ3f+MY3HCfHXxme8fO3dyP3z8mNn9nL06hd5V/AtnpjC1Yji+yn67Am4V4Igmf87P7L5MbP3IV+9F5pwUva4JmbHEU2bqO0L6dx+vkRLPvF23jm68fRf0YvdauAmnsbsPrDaZS2bQBufAFsKDO7RQghhBBCyK3Cohg9jzzyCN58803HyfFXTrVn/CxD/pU+9J2csu945jCH3CRKWzZ7rNyA5vuA2u+uQfxiswiWe8bPDbwx0IdD5yOsmM9zOPQq0Fx/AxffncCEcidO5lEd9V2QMniyLxxH1Y69aFQRq93Yga04juEo/8ux8vvYun4COe9HVz+dwLgywDbV8wseQgghhBCyNLgpf5wUf8ji0O9ymD57HKf/n2o0bG7G6u/+DXY/XJH5oQwF5Sy7r82e7cNTL72F/O9nUf3tDfjZgT5s+pa+qZgd24sXq/dj7/oFMACscZjDxPN/haePBUyye/fitSNbi98YlVAG2rFDuP69DsfgMZk+1YfstzrQcp8lrrM5HH/lHK588BqOvwvUKXnW1zVi+6N17gYNMxMYfv41XF9ZixtX5rDuJ3t9ciCEEEIIIeRW5uY0egghhBBCCCFkgbj1jZ65aeTev4ob+tTKXSvwnftqF2/L5U/zmJi6rk8iWLYG6/4ixcdBhBBCCCGEkAXh1jd6vpzDrPyQZhx33Inq6kX8RiVJHKqqUT2fXdYIIYQQQgghFcHlbYQQQgghhJAlzdL4nR5CCCGEEEIIiYAzPcTO9GkcOlOFFZ9O4s5H92JThRvnEUIIIYQQ8qeGMz3EwjSO77uEddsa0fxUA3KvTMT8zhEhhBBCCCE3Nze30XNtAsMvZFHhz27Oi7kL/dgymNNnlTF9ai+2PdGE9fX1ePjRbdi2Q7tHH0Prc6PIf64f/AqYeXcYh86EJTk91oe9Pf049Pxe7D2Sw6z8nhCuY/oD4E75XaGqalT9dgKX5DIhhBBCCCG3IDel0TNz/hDan9qLzud6cWhqVl+tgC9nkT87jM6XJpDKly/zODEwgunL+XkZXLWb+/DK/9Ksjjah6+VX8MoR7Y7tx4bzvWg/nJv3DMrslXEMdx/ChDWBMxh/qR1P7+lEz7OHMBUwssSwa3+/Afu7O7B7Tx+e/rN+dI5ZUvw553kIIYQQQsity01p9NSs342Bl/rws7/K6Csp8Yydf3wN0/c8hv1PrUOaX8iZ+V0/+v9Nn8yT6csfYO7eOmTMCNyxDDUr5V4+nTFm4Bo7nXjt41o89l92Y501gTVoeGoALz7/MzSq8PzM4txrI6i9d03x94syKp7jr76FPNag4cdzmBUj6colTLi3CSGEEEIIuSVZWt/0KGNnauwQ9u57DddXtWB/TysaVqb8QdDPxzF0oRkDP1kNnM/jqr5cGXPIT02gav0a+My3zy9h6gJQ99A6ZZakY/b3p3Hol3vx2icZtPyX/Wh9KINqWYaWmjwu/d/K0Kk1YnDX3aj9MIf8bBXW/eQx3DgxguOf3Il199amMhoJIYQQQgi5mVgaRo82dnqfHcVn9+1C33OtWFdb2Y+RTh0bxcodjfgPf75MX5kPl3DxFNC4yjB5vpzGaE8PLv7NAJ7/2+Rbos1+qIydnl6M/rEOu57tQ+t3a1FVkbFTYk5mcv7MPXb4eo0yzmYx+//NYer/nMCyR1qwtfYG5h79vt9oI4QQQggh5BZiUYye3/72t/jBD37gODleVGay6GzqxMV7d6Gru6ViY8dhehTHsRNbVwI1tdLNzyN/zb3l8G8j2PZSis0NrlzC+OdVyJ88gM59ncrtxdM/3oPcwy/j5Z83oEYbLfkj23DoA/c4zAyy3Q+j80Nl7OzrQssCGDsO11Ta9GEYJcNPpzB5/jRG3l6Glh+lnY8ihBBCCCHk5mFRjJ7BwUH88Y9/dJwcLyo1jdj/+m7crQyL3iMTmHF2H6uEWWSP5LHpx6vdU3MGxGPlVrz8P9Xpk/LMXs5h6q6teObgfux/VlwfXjz2POp+t8UxnrztATKPv4zd9+mTEDVo/C8nsbv6BA48O4IJ0wibD8szsbM3q5/oQmvTJrTsaETtQhhZhBBCCCGE/IlYGsvbvr4am37Sha4td2PipV7H+JlOueHY3IWjGLmcx+izMiOj3PAEqjCO/LR+QLijKtUsy6XcaeB7dciY79xRi7oHMsgfzpa2ga4qMzt1RzVWN+1G175m3P3+IfT2KOMnbQItVN0lS9wMfz65iglUo/rP9TkhhBBCCCFLgEUxetra2vCNb3zDcXL8leEZP397N3L/nML4kS2q31yB/f/bgJ6RUa5zK9bJvS+cJzD7wWmMPN+L0T+45+XJI38BWFe/JrAJwCymcnngvlosU8e5sRH09YzCtK0iMY2fDw7P0/hZg+9sBq5eN/aP+3IuvNMcIYQQQgghtziLYvQ88sgjePPNNx0nx1851Z7xswz5V/rQd3Iq9vdwpk8O4f/9UbN/GZde/pWflt+tySP3xzqs+8Z13HBuCnPIvfw0tnWftv+Wz7Ucxj+sxbr/0b9ZwfRvOtFzvgFdz25F7ZUcZu9bh2WflnxNhGH8LLusjKbnRjGV2vapwrpNLcowu1SUzdRkFg3ctIAQQgghhCwxvlZQ6OObhz9kceh3OUyfPY7T/081GjY3Y/V3/wa7H06+25kP+c7HsixtbvIQnvz1KPK/n0X1t1uw/3/fjXVV+vrg25j+MI8by1cj07ATg79cgdE9F7Hp18pYcd/GxK+b0H5iHbp/04dNxW/9p9Vze3A8P42pKzdQ8+0MlnnfB30+hzvvbcbT/3ML1i3X1z4cRvuHmzDwaIVpEyLSJ0y/fQgn3p/G+InTyP/3DfibLatR/6PdaPyW3J1D/mQ/XrxQhZV/Po0r32xB17a6CrfAJoQQQggh5Obk5jR6bkYc4+Rh7P7WddR+t/RjpzOnRnDxey1orHBJ2NThdlzcuBuZ67VYV891ZYQQQgghhCw0t77RMzeN3PtXjWVnFu5age/cVysbMVfO74fRN16D+vofovE+z6dZnD4yjoYdmyr+8c6pl/swXlOP+k2NqLNGcA7TH1zEVflNnUjuxIq/rMN8dusmhBBCCCFkqXLrGz1fzmF2tsw3MXfcierqhbcIZs8fx/jKrdg0j5VpSZibncWNMltx31ldvTC/30MIIYQQQsgSg8vbCCGEEEIIIUuapfE7PYQQQgghhBASAY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkWXpGz7VRtLeNYkaf3jrMYLStHzl9JsycbEf7yXBK5Hr/BXVwod+9L2kelDdz6L8l004IIYQQQsjicfMaPdKRr69HfdH5DYL5khusdw2HAFGGRgkxTtw42d5PjzJUnPQ1off8CFqd43aMXpvBuTPjGO9p0ulXzjFsgJoHGpE/W5LGzDtZZB6qUzLLI78qgxp9nRBCCCGEEHLLbFkthkEWjZMdUF37eMRY2g90DzbHdP7FcDmKzGDYPzF6etCNgS32t8VYGlo5pu5fVXEaQubUAJqX65sOEtdWjOizOFoOT6Ljfn0SiJOE03qkBcNOms17Ef6v78Lwxixae8b1BYW6NhYrB0IIIYQQQpY+S8LocQ0EfRKFzwBQ/rXlsd1iEEQbPWJ4NCG7UQwe755rgMBnvNgpGUthEyQUfy+uF/pRf7YRYyuHwnES425zL8bRgC5teOUG25F/PHxMCCGEEELI7cytYfQ4HXxl9IRmVSxYZ3oCRo4882oGA211jpHTZM6OmOwYxqR6xjMwMhHGjWO0XI6eVSk3eyTkTvYje0YdbMxg+xbPH9fQ6j1fMmwcxBgazmCsNY+ejxvReGYI6NyJ/GbPAIueySKEEEIIIeR2Y1G+6fntb3+LH/zgB46T43kznce4+pd9J+En+uW+a1H+YeUK57BmywAmJyeLbqy7AQ3dY+65NorqxYiaHENmWH9bE3DZh9SznUCP8y2O420JZTD1nGlEd5TBIwaV+HHPdmTUaeMDyp+2UYwqQ6q+vkcZMxKvbmC/OpdNCvTsz2TRwFqB5sEBbHhHGT7dXfpbn6vIK9/cFBJCCCGEEHJ7sygzPWLs/PGPf3SOv/GNb+DNN990jitFZlKyK1WH/ky5b3WiZlUCMz2y69nH260zL0lmZcyZonKIf0fvGSi7/C01nvHji4Oe4WkFWkP3CCGEEEIIuT25+besVgbG0OUubN+yAY3oxdHYHdPcHc8y9wQMFtnVTB9+1Vy9AmRq9UkEYtTZZpCCztktTs8M1e8aAY60Gvdld7sabNiYR6u61yK7uRFCCCGEEEIWZ6ZHlrQNDg46x21tbXjkkUec4/S437TkW/W3NNLh35zHzqhd3LxvXYKzQfKe+Z1PYKYnuJGALG/zzfQ44cqmATFE7JTmzFI9VH6jAx8SXuxMkn/myrdpgchgF/Sub4QQQgghhJCbeiMDMRiCO57JcrGmM412wyZqs4HgUjDTqAjec4wG2RA6sHmASVmjxCDofxSmnzotPiPL21RB4cjgyk73XJ4tGnSym9wQMt0Z9F7h8jZCCCGEEEKEm3R5m8zw2Ld4lo0Hhlf1okk+6tfXHMNCGQnoHrPOqOTOBpZ7Lc8gczlfet9g5uO8u5HBqUZkNy/AD6Le34FhtLqbEOhLiRAjx9hgwTRgnM0XHsq6y9pk5qto8MjubcpQ2+KGuTA/nkoIIYQQQsitzU0406NnK8psT12a7YD9+eKMjSK09My/pbNveVvoWdeYSPJjo+ZsTBAnvsbW2MUfJrXN6kTh+C/pdePjLMN74Jx+Pzgz5V8CRwghhBBCyO3KTb28jRBCCCGEEELmy82/exshhBBCCCGEzAMaPYQQQgghhJAlDY0eQgghhBBCyJKGRg8hhBBCCCFkSUOjhxBCCCGEELKkodFDCCGEEEIIWdLQ6CGEEEIIIYQsYYD/H6xvZaoMDpe9AAAAAElFTkSuQmCC"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:[3, [[1, 2], [4, 2], [3, 4]]],
        &quot;out&quot;: 4
    },{
        &quot;in&quot;:[4, [[1, 5], [2, 6], [3, 7], [4, 8]]],
        &quot;out&quot;: 16
    },{
        &quot;in&quot;:[8, [[877914575, 602436426], [861648772, 623690081], [476190629, 262703497], [971407775, 628894325], [822804784, 450968417], [161735902, 822804784], [161735902, 822804784], [822804784, 161735902]]],
        &quot;out&quot;: 48
    },
]</py-cell>
<py-cell>def D(N, AB):
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_2">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x5358;&#x7D14;&#x306A;DP&#x3067;&#x3059;&#x3002;<br>
&#x6BB5;&#x3005;DP&#x304C;&#x89E3;&#x3051;&#x308B;&#x3088;&#x3046;&#x306B;&#x306A;&#x3063;&#x3066;&#x304D;&#x3066;&#x5B09;&#x3057;&#x3044;&#x1F60A;</p>
<py-cell>def D(N, AB):
    dp = [[0] * 2 for _ in range(N)]
    dp[0][0] = 1
    dp[0][1] = 1

    for i in range(1, N):
        if AB[i][0] != AB[i - 1][0]: dp[i][0] += dp[i - 1][0]
        if AB[i][0] != AB[i - 1][1]: dp[i][0] += dp[i - 1][1]
        if AB[i][1] != AB[i - 1][0]: dp[i][1] += dp[i - 1][0]
        if AB[i][1] != AB[i - 1][1]: dp[i][1] += dp[i - 1][1]
        dp[i][0] %= 998244353
        dp[i][1] %= 998244353
    return sum(dp[-1]) % 998244353</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39253036">#39253036</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Find%20Permutation"><a href="https://atcoder.jp/contests/abc291/tasks/abc291_e">E - Find Permutation</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:[3, 2, [[3, 1], [2, 3]]],
        &quot;out&quot;: &quot;&quot;&quot;Yes
3 1 2\n&quot;&quot;&quot;
    },{
        &quot;in&quot;:[3, 2, [[3, 1], [3, 2]]],
        &quot;out&quot;: &quot;&quot;&quot;No\n&quot;&quot;&quot;
    },{
        &quot;in&quot;:[4, 6, [[1, 2], [1, 2], [2, 3], [2, 3], [3, 4], [3, 4]]],
        &quot;out&quot;: &quot;&quot;&quot;Yes
1 2 3 4\n&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>from io import StringIO</py-cell>
<py-cell>def E(N, M, XY):
    out = StringIO()
    print(&quot;answer&quot;, file=out)
    return out.getvalue()

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E3%82%B3%E3%83%B3%E3%83%86%E3%82%B9%E3%83%88%E4%B8%AD_3">&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306F;&#x300C;DFS&#x3067;&#x8449;&#x307E;&#x3067;&#x8FBF;&#x308A;&#x7740;&#x3044;&#x305F;&#x6642;&#x306B;&#x5168;&#x3066;&#x306E;&#x6570;&#x5B57;&#x3092;&#x901A;&#x3063;&#x3066;&#x3044;&#x308C;&#x3070;&quot;Yes&quot;&#x3060;&#x308D;&#x3046;&#x300D;&#x3063;&#x3066;&#x8003;&#x3048;&#x3067;&#x5B9F;&#x88C5;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;<br>
&#x30D6;&#x30E9;&#x30A6;&#x30B6;&#x74B0;&#x5883;&#x3067;&#x5B9F;&#x884C;&#x3059;&#x308B;&#x305F;&#x3081;&#x306B;&#x4F59;&#x8A08;&#x306A;&#x51E6;&#x7406;&#x304C;&#x5165;&#x3063;&#x3066;&#x307E;&#x3059;&#x304C;&#x3001;&#x57FA;&#x672C;&#x306F;&#x5358;&#x7D14;&#x306A;DFS&#x3067;&#x3059;&#x3002;</p>
<p>&#x304C;&#x3001;TLE&#x3068;&#x306A;&#x308A;&#x305D;&#x306E;&#x5F8C;&#x5FAE;&#x4FEE;&#x6B63;&#x3092;&#x7E70;&#x308A;&#x8FD4;&#x3059;&#x3082;AC&#x306A;&#x3089;&#x305A;&#x8A66;&#x5408;&#x7D42;&#x4E86;&#x3002;</p>
<py-cell>from collections import defaultdict, deque

def E(N, M, XY):
    out = StringIO()
    edge = defaultdict(list)
    larger = set()
    for X, Y in XY:
        larger.add(Y)
        edge[X].append(Y)

    route = []
    exit = [False]
    def dfs(n):
        if exit[0]: return
        route.append(n)
        if len(route) == N:
            _, ans = zip(*sorted(zip(route, range(1, N + 1))))
            print(&quot;Yes&quot;, file=out)
            print(*ans, file=out)
            exit[0] = True
        for nxt in edge[n]:
            dfs(nxt)
        route.pop()

    first = set(range(1, N + 1)) - larger
    if len(first) &gt; 1:
        print(&quot;No&quot;, file=out)
    else:
        dfs(first.pop())
        if not exit[0]: print(&quot;No&quot;, file=out)
    return out.getvalue()

test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39261710">#39261710</a></p>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A_2">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x300C;DFS&#x306E;&#x8A08;&#x7B97;&#x91CF;&#x3063;&#x3066;$O(N + M)$&#x306A;&#x306E;&#x306B;&#x306A;&#x3093;&#x3067;TLE&#x306A;&#x3093;&#x306E;&#xFF01;&#xFF1F;&#x1F621;&#x300D;&#x3068;&#x601D;&#x3063;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x4ECA;&#x56DE;&#x306E;&#x3088;&#x3046;&#x306B;&#x300C;&#x8449;&#x306B;&#x305F;&#x3069;&#x308A;&#x7740;&#x3044;&#x305F;&#x3068;&#x304D;&#x306B;&#x5168;&#x3066;&#x306E;&#x6570;&#x5B57;&#x3092;&#x901A;&#x3063;&#x3066;&#x3044;&#x308B;&#x300D;&#x3053;&#x3068;&#x3092;&#x78BA;&#x8A8D;&#x3059;&#x308B;&#x305F;&#x3081;&#x306B;&#x306F;&#x4E00;&#x5EA6;&#x901A;&#x3063;&#x305F;&#x9802;&#x70B9;&#x3084;&#x8FBA;&#x3092;&#x4F55;&#x5EA6;&#x3082;&#x91CD;&#x8907;&#x3057;&#x3066;&#x63A2;&#x7D22;&#x3059;&#x308B;&#x5FC5;&#x8981;&#x304C;&#x3042;&#x308B;&#x3093;&#x3067;&#x3059;&#x306D;&#x3002;<br>
&#x901A;&#x5E38;&#x306E;&#x5168;&#x63A2;&#x7D22;&#x3092;&#x884C;&#x3046;DFS&#x306A;&#x3089;&#x4E00;&#x5EA6;&#x901A;&#x3063;&#x305F;&#x9802;&#x70B9;&#x306F;&#x30D1;&#x30B9;&#x3059;&#x308B;&#x306E;&#x3067;$O(N + M)$&#x306B;&#x306A;&#x308A;&#x307E;&#x3059;&#x304C;&#x3001;&#x4E0A;&#x306E;&#x5B9F;&#x88C5;&#x3067;&#x306F;&#x4E0A;&#x8A18;&#x7406;&#x7531;&#x304B;&#x3089;&#x305D;&#x306E;&#x51E6;&#x7406;&#x3092;&#x884C;&#x3063;&#x3066;&#x3044;&#x306A;&#x3044;&#x306E;&#x3067;TLE&#x306B;&#x306A;&#x308B;&#x306E;&#x306F;&#x5F53;&#x7136;&#x3060;&#x3063;&#x305F;&#x306E;&#x3067;&#x3057;&#x305F;&#x2026;</p>
<p>&#x3067;&#x306F;&#x3069;&#x3046;&#x3059;&#x308B;&#x304B;&#x3002;<br>
&#x4ECA;&#x56DE;&#x306E;&#x554F;&#x984C;&#x3067;&#x306F;&#x6700;&#x77ED;&#x7D4C;&#x8DEF;&#x306A;&#x3089;&#x306C;<strong>&#x6700;&#x9577;&#x7D4C;&#x8DEF;</strong>&#x3092;&#x6C42;&#x3081;&#x3066;&#x3044;&#x308B;&#x3088;&#x3046;&#x306A;&#x3082;&#x306E;&#x306A;&#x306E;&#x3067;&#x3001;&#x3042;&#x308B;&#x9802;&#x70B9;&#x306B;&#x8FBF;&#x308A;&#x7740;&#x304F;&#x7D4C;&#x8DEF;&#x304C;&#x8907;&#x6570;&#x3042;&#x308B;&#x5834;&#x5408;&#x3001;&#x305D;&#x306E;&#x7D4C;&#x8DEF;&#x304C;&#x77ED;&#x3044;&#x65B9;&#x306F;&#x660E;&#x3089;&#x304B;&#x306B;&#x89E3;&#x3067;&#x306F;&#x3042;&#x308A;&#x307E;&#x305B;&#x3093;&#x3002;<br>
&#x305D;&#x306E;&#x3088;&#x3046;&#x306A;&#x7BA1;&#x7406;&#x304C;&#x3067;&#x304D;&#x308B;&#x306E;&#x306F;BFS&#x3067;&#x3001;&#x6700;&#x77ED;&#x7D4C;&#x8DEF;&#x3092;&#x6C42;&#x3081;&#x308B;&#x3088;&#x3046;&#x306B;&#x63A2;&#x7D22;&#x3057;&#x306A;&#x304C;&#x3089;&#x3001;&#x3042;&#x308B;&#x9802;&#x70B9;&#x306B;&#x8FBF;&#x308A;&#x7740;&#x3044;&#x305F;&#x3068;&#x304D;&#x306B;&#x305D;&#x306E;&#x9802;&#x70B9;&#x306B;&#x8FBF;&#x308A;&#x7740;&#x3051;&#x308B;&#x5225;&#x306E;&#x672A;&#x63A2;&#x7D22;&#x306E;&#x7D4C;&#x8DEF;&#x304C;&#x3042;&#x308B;&#x5834;&#x5408;&#x306B;&#x306F;&#x305D;&#x308C;&#x4EE5;&#x4E0A;&#x63A2;&#x7D22;&#x3057;&#x306A;&#x3044;(&#x6700;&#x77ED;&#x7D4C;&#x8DEF;&#x63A2;&#x7D22;&#x306A;&#x306E;&#x3067;&#x672A;&#x63A2;&#x7D22;&#x306E;&#x7D4C;&#x8DEF;&#x306E;&#x65B9;&#x304C;&#x9577;&#x3044;)&#x3053;&#x3068;&#x3067;&#x8A08;&#x7B97;&#x91CF;&#x3092;$O(N + M)$&#x306B;&#x6291;&#x3048;&#x308B;&#x3053;&#x3068;&#x304C;&#x3067;&#x304D;&#x307E;&#x3059;&#x3002;</p>
<p>&#x305D;&#x3093;&#x306A;&#x611F;&#x3058;&#x3067;&#x5B9F;&#x88C5;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;<br>
&#x6570;&#x5B57;&#x306E;&#x6607;&#x9806;&#x306B;&#x30A4;&#x30F3;&#x30C7;&#x30C3;&#x30AF;&#x30B9;&#x3092;&#x7E4B;&#x3050;&#x30B0;&#x30E9;&#x30D5;&#x3092;<code>edge</code>&#x3067;&#x3001;&#x9006;&#x65B9;&#x5411;&#x306E;&#x964D;&#x9806;&#x306E;&#x30B0;&#x30E9;&#x30D5;&#x3092;<code>egde</code>&#x3067;&#x7BA1;&#x7406;&#x3059;&#x308B;&#x3053;&#x3068;&#x3067;&#x4E0A;&#x306E;&#x8003;&#x3048;&#x3092;&#x5B9F;&#x73FE;&#x3067;&#x304D;&#x307E;&#x3057;&#x305F;&#x3002;</p>
<py-cell>from collections import defaultdict, deque

def E(N, M, XY):
    edge = defaultdict(set)
    egde = defaultdict(set)
    larger = set()
    for X, Y in XY:
        larger.add(Y)
        edge[X].add(Y)
        egde[Y].add(X)

    route = defaultdict(int)

    first = set(range(1, N + 1)) - larger
    if len(first) &gt; 1: return &quot;No\n&quot;
    
    first = first.pop()
    q = deque([first])
    
    while q:
        now = q.popleft()
        for nxt in edge[now]:
            if len(egde[nxt]) &gt; 1:
                egde[nxt].remove(now)
                continue
            route[nxt] = now
            q.append(nxt)
    
    ans = []
    while now != 0:
        ans.append(now)
        now = route[now]
        
    if len(ans) &lt; N:
        return &quot;No\n&quot;
    else:
        _, ans = zip(*sorted(zip(ans[::-1], range(1, N + 1))))
        return &quot;Yes\n&quot; + &quot; &quot;.join(map(str, ans)) + &quot;\n&quot;</py-cell>
<py-cell>test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc291/submissions/39377313">#39377313</a></p>
<p><a href="https://atcoder.jp/contests/abc291/tasks/abc291_e/editorial">&#x89E3;&#x8AAC;</a>&#x3067;&#x8A00;&#x53CA;&#x3055;&#x308C;&#x3066;&#x3044;&#x308B;&#x30C8;&#x30DD;&#x30ED;&#x30B8;&#x30AB;&#x30EB;&#x30BD;&#x30FC;&#x30C8;&#x306B;&#x3064;&#x3044;&#x3066;&#x306F;&#x3001;&#x3044;&#x3064;&#x304B;&#x52C9;&#x5F37;&#x3057;&#x307E;&#x3059;&#x1F607;</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item><item><title><![CDATA[ABC290の振り返り(A, B, C, D, E)]]></title><description><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc290"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Toyota Programming Contest 2023 Spring Qual B&#xFF08;AtCoder Beginner Contest 290&#xFF09; - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>def test_all(f):
    for i, data</py-cell>]]></description><link>https://arakaki.tokyo/abc290/</link><guid isPermaLink="false">64007fbfb100a800018a2b1a</guid><category><![CDATA[競プロ]]></category><category><![CDATA[主客転倒]]></category><dc:creator><![CDATA[Arakaki Tokyo]]></dc:creator><pubDate>Thu, 02 Mar 2023 10:54:33 GMT</pubDate><content:encoded><![CDATA[<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3067;&#x3059;&#x3002;</p><figure class="kg-card kg-bookmark-card"><a class="kg-bookmark-container" href="https://atcoder.jp/contests/abc290"><div class="kg-bookmark-content"><div class="kg-bookmark-title">Toyota Programming Contest 2023 Spring Qual B&#xFF08;AtCoder Beginner Contest 290&#xFF09; - AtCoder</div><div class="kg-bookmark-description">AtCoder is a programming contest site for anyone from beginners to experts. We hold weekly programming contests online.</div><div class="kg-bookmark-metadata"><img class="kg-bookmark-icon" src="https://img.atcoder.jp/assets/atcoder.png"><span class="kg-bookmark-author">AtCoder</span><span class="kg-bookmark-publisher">AtCoder Inc.</span></div></div><div class="kg-bookmark-thumbnail"><img src="https://img.atcoder.jp/assets/atcoder.png"></div></a></figure><!--kg-card-begin: html--><py-cell>def test_all(f):
    for i, data in enumerate(eval(f&apos;test_data{f.__name__[0]}&apos;)):
        exp = data[&quot;out&quot;]
        ans = f(*data[&quot;in&quot;])
        
        result = &quot;AC&quot; if exp == ans else &quot;WA&quot;
        print(f&quot;{i+1} {result}: expected: {exp}, output: {ans}&quot;)</py-cell>
<h2 id="A%20-%20Contest%20Result"><a href="https://atcoder.jp/contests/abc290/tasks/abc290_a">A - Contest Result</a></h2>
<h2 id="B%20-%20Qual%20B"><a href="https://atcoder.jp/contests/abc290/tasks/abc290_b">B - Qual B</a></h2>
<p>&#x7565;</p>
<h2 id="C%20-%20Max%20MEX"><a href="https://atcoder.jp/contests/abc290/tasks/abc290_c">C - Max MEX</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>C</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataC = [
    {
        &quot;in&quot;:[7, 3, [2, 0, 2, 3, 2, 1, 9]],
        &quot;out&quot;: 3
    }
]</py-cell>
<py-cell>def C(N, K, A):
    pass

test_all(C)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="try">try</h3>
<p>&#x632F;&#x308A;&#x8FD4;&#x308A;&#x3088;&#x308A;&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;&#x65B9;&#x304C;&#x3044;&#x3044;&#x611F;&#x3058;&#x3060;&#x3063;&#x305F;&#x306E;&#x3067;&#x7F6E;&#x3044;&#x3068;&#x304D;&#x307E;&#x3059;&#x3002;<br>
&#x3053;&#x3093;&#x306A;&#x611F;&#x3058;&#x3002;</p>
<py-cell>def C(N, K, A):
    A = sorted(set(A))

    ans = 0
    for i in range(min(K, len(A))):
        if A[i] == i:
            ans += 1
        else:
            break
    return ans</py-cell>
<py-cell>test_all(C)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc290/submissions/39024386">#39024386</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="D%20-%20Marking"><a href="https://atcoder.jp/contests/abc290/tasks/abc290_d">D - Marking</a></h2>
<p><img alt src="data:image/png;base64,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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_2">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>D</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataD = [
    {
        &quot;in&quot;:[9, [[4, 2, 1], [4, 2, 2], [4, 2, 3], [4, 2, 4], [5, 8, 1], [5, 8, 2], [5, 8, 3], [5, 8, 4], [5, 8, 5],]],
        &quot;out&quot;: &quot;&quot;&quot;0
2
1
3
0
3
1
4
2&quot;&quot;&quot;
    },
]</py-cell>
<py-cell>def D(T, NDK):
    pass

test_all(D)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="try_2">try</h3>
<p>&#x30B3;&#x30F3;&#x30C6;&#x30B9;&#x30C8;&#x4E2D;&#x306E;<a href="https://atcoder.jp/contests/abc290/submissions/39046143">&#x7D42;&#x4E86;&#x9593;&#x969B;&#x63D0;&#x51FA;</a>&#x304C;&#x5909;&#x6570;&#x540D;&#x9593;&#x9055;&#x3048;&#x308B;&#x3068;&#x3044;&#x3046;&#x51E1;&#x30DF;&#x30B9;&#x3057;&#x3066;&#x305F;&#x306E;&#x3067;&#x4FEE;&#x6B63;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;<br>
&#x3067;&#x3082;&#x7D50;&#x5C40;RE x 4...</p>
<py-cell>import numpy as np

def D(T, NDK):
    for n, D, k in NDK:
        D = D % n
        if n % D == 0:
            cycle = n // D
        else:
            cycle = np.lcm(D, n) // D
        
        if cycle == 0:
            d = 0
            m = k
        else:
            d, m = divmod(k - 1, cycle)
            m += 1
        # print(k, m, cycle)
        print((d + (D * (m - 1))) % n)
    return </py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc290/submissions/39313452">#39313452</a></p>
<h3 id="%E6%8C%AF%E3%82%8A%E8%BF%94%E3%82%8A">&#x632F;&#x308A;&#x8FD4;&#x308A;</h3>
<p>&#x4E0A;&#x306E;&#x30B3;&#x30FC;&#x30C9;&#x3092;&#x898B;&#x8FD4;&#x3057;&#x3066;&#x3082;&#x3001;&#x4F55;&#x304C;&#x3057;&#x305F;&#x304B;&#x3063;&#x305F;&#x306E;&#x304B;&#x3088;&#x304F;&#x5206;&#x304B;&#x308A;&#x307E;&#x305B;&#x3093;&#x1F607;<br>
&#x307E;&#x3041;&#x3001;&#x9811;&#x5F35;&#x3063;&#x3066;&#x8003;&#x3048;&#x305F;&#x3093;&#x3060;&#x308D;&#x3046;&#x306A;&#x3001;&#x4FFA;&#x3002;&#x305D;&#x3057;&#x3066;&#x982D;&#x306E;&#x4E2D;&#x3054;&#x3061;&#x3083;&#x3054;&#x3061;&#x3083;&#x306B;&#x306A;&#x3063;&#x305F;&#x3093;&#x3060;&#x308D;&#x3046;&#x306A;&#x3002;&#x304A;&#x75B2;&#x308C;&#x2026;</p>
<p>&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x6539;&#x3081;&#x3066;&#x8003;&#x3048;&#x3066;&#x307F;&#x308B;&#x3068;&#x3001;&#x4EE5;&#x4E0B;&#x306E;&#x3088;&#x3046;&#x306A;&#x3053;&#x3068;&#x304C;&#x3057;&#x305F;&#x304B;&#x3063;&#x305F;&#x3093;&#x3067;&#x3057;&#x3087;&#x3046;&#x3002;</p>
<py-cell>import numpy as np

def D(T, NDK):
    for N, D, K in NDK:
        if D % N == 0:
            cycle = 1
        else:
            D = D % N
            cycle = np.lcm(D, N) // D
        K -= 1
        print(D * K % N + K // cycle)
    return </py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc290/submissions/39313452">#39313452</a></p>
<p>&#x7121;&#x4E8B;AC&#x1F601;</p>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x5B9F;&#x306F;&#x4E0A;&#x306E;&#x632F;&#x308A;&#x8FD4;&#x308A;&#x306E;&#x524D;&#x306B;<a href="https://atcoder.jp/contests/abc290/editorial/5767">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x3066;&#x307F;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x4E00;&#x65E6;&#x7406;&#x89E3;&#x3059;&#x308B;&#x3053;&#x3068;&#x3092;&#x8AE6;&#x3081;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x305D;&#x308C;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>import numpy as np

def D(T, NDK):
    for N, D, K in NDK:
        K -= 1
        a = N // np.gcd(N, D)
        print(D * K % N + K // a)</py-cell>
<py-cell>test_all(D)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc290/submissions/39313982">#39313982</a></p>
<p>&#x3093;&#x3067;&#x3001;&#x632F;&#x308A;&#x8FD4;&#x308A;&#x306E;&#x5F8C;&#x306B;&#x307E;&#x305F;&#x898B;&#x3066;&#x307F;&#x308B;&#x3068;&#x3001;&#x307B;&#x3068;&#x3093;&#x3069;&#x4E00;&#x7DD2;&#x3084;&#x3093;&#xFF01;&#xFF01;(&#x307E;&#x3041;&#x3068;&#x3053;&#x308D;&#x3069;&#x3053;&#x308D;&#x5F71;&#x97FF;&#x3092;&#x53D7;&#x3051;&#x305F;&#x306E;&#x306F;&#x5426;&#x3081;&#x306A;&#x3044;&#x2026;)<br>
&#x81EA;&#x529B;&#x3067;&#x8003;&#x3048;&#x305F;&#x306E;&#x306F;&#x3001;&#x300C;&#x4F55;&#x56DE;&#x76EE;&#x306B;&#x5143;&#x306E;&#x5834;&#x6240;&#x306B;&#x623B;&#x308B;&#x304B;&#x300D;&#x3068;&#x3044;&#x3046;&#x3053;&#x3068;&#x3067;&#x3001;&#x305D;&#x308C;&#x306A;&#x3089;&#x6700;&#x5C0F;&#x516C;&#x500D;&#x6570;&#x3060;&#x308D;&#x3046;&#x3068;&#x306A;&#x3063;&#x305F;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x6700;&#x5927;&#x516C;&#x7D04;&#x6570;&#x3067;&#x3082;&#x540C;&#x3058;&#x6570;&#x304C;&#x51FA;&#x305B;&#x308B;&#x3068;&#x3044;&#x3046;&#x306A;&#x3093;&#x3067;&#x3059;&#x306D;&#x3002;</p>
<p>&#x78BA;&#x8A8D;&#x3057;&#x307E;&#x3059;&#x3002;<br>
&#x4ECA;&#x56DE;&#x300C;&#x4F55;&#x56DE;&#x76EE;&#x306B;&#x5143;&#x306E;&#x5834;&#x6240;&#x306B;&#x623B;&#x308B;&#x304B;&#x300D;&#x3092;&#x77E5;&#x308B;&#x305F;&#x3081;&#x306B;$\frac{lcm}{D}$&#x3067;&#x8A08;&#x7B97;&#x3057;&#x307E;&#x3057;&#x305F;&#x3002;<br>
&#x3053;&#x3053;&#x3067;$D = gcd \times d$&#x3001;$N = gcd \times n$&#x3068;&#x7F6E;&#x304F;&#x3068;&#x3001;$lcm = gcd \times d \times n$&#x3068;&#x8868;&#x305B;&#x307E;&#x3059;&#x3002;<br>
&#x3068;&#x3044;&#x3046;&#x8A33;&#x3067;&#x3001;&#x7D50;&#x5C40;<br>
$\frac{lcm}{D} = \frac{gcd \times d \times n}{gcd \times d} = n = \frac{N}{gcd}$<br>
&#x3068;&#x3044;&#x3046;&#x89E3;&#x8AAC;&#x306E;&#x60F3;&#x5B9A;&#x89E3;&#x306E;&#x5F0F;&#x306B;&#x306A;&#x308B;&#x308F;&#x3051;&#x3067;&#x3059;&#x306D;&#x3002;&#x52C9;&#x5F37;&#x306B;&#x306A;&#x3063;&#x305F;&#x3002;(&#x4E2D;&#x9AD8;&#x3067;&#x7FD2;&#x3063;&#x305F;&#x2026;&#xFF1F;)</p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="E%20-%20Make%20it%20Palindrome"><a href="https://atcoder.jp/contests/abc290/tasks/abc290_e">E - Make it Palindrome</a></h2>
<p><img alt 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"></p>
<h3 id="%E3%82%84%E3%81%A3%E3%81%A6%E3%81%BF%E3%82%88%E3%81%86%EF%BC%81_3">&#x3084;&#x3063;&#x3066;&#x307F;&#x3088;&#x3046;&#xFF01;</h3>
<p><code>E</code>&#x95A2;&#x6570;&#x3092;&#x5B8C;&#x6210;&#x3055;&#x305B;&#x3066;&#x300C;Run&#x300D;&#x30DC;&#x30BF;&#x30F3;&#x3092;&#x30AF;&#x30EA;&#x30C3;&#x30AF;&#x3057;&#x3088;&#x3046;&#xFF01;</p>
<py-cell>test_dataE = [
    {
        &quot;in&quot;:[5, [5, 2, 1, 2, 2]],
        &quot;out&quot;: 9
    }
]</py-cell>
<py-cell>def E(N, A):
    pass

test_all(E)</py-cell>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h3 id="%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B_2">&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x56DE;&#x6587;&#x3092;&#x4F5C;&#x308C;&#x3063;&#x3066;&#x3001;&#x7A00;&#x306B;&#x3088;&#x304F;&#x898B;&#x308B;&#x6C17;&#x304C;&#x3057;&#x307E;&#x3059;&#x306D;&#x3002;<br>
&#x307E;&#x3041;&#x305D;&#x3093;&#x306A;&#x6C17;&#x304C;&#x3059;&#x308B;&#x3060;&#x3051;&#x3067;&#x89E3;&#x6CD5;&#x306E;&#x898B;&#x5F53;&#x306F;&#x5168;&#x304F;&#x3064;&#x304B;&#x306A;&#x3044;&#x306E;&#x3067;<a href="https://atcoder.jp/contests/abc290/editorial/5757">&#x89E3;&#x8AAC;</a>&#x3092;&#x898B;&#x307E;&#x3059;&#x3002;</p>
<p>&#x659C;&#x3081;&#x8AAD;&#x307F;&#x3057;&#x3066;&#x300C;<strong>&#x4E3B;&#x5BA2;&#x8EE2;&#x5012;</strong>&#x5B8C;&#x5168;&#x306B;&#x7406;&#x89E3;&#x3057;&#x305F;&#xFF01;&#x300D;&#x3063;&#x3066;&#x3053;&#x3068;&#x3067;&#x63D0;&#x51FA;&#x3057;&#x305F;&#x306E;&#x304C;&#x4EE5;&#x4E0B;&#x3002;</p>
<py-cell>from itertools import combinations
from collections import defaultdict

def E(N, A):
    ans = 0
    for i, j in combinations(range(N), 2):
        if A[i] == A[j]: continue
        ans += min(i + 1, N - j)
    return ans
    
test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc290/submissions/39333959">#39333959</a></p>
<p>TLE &#xD7; 56...<br>
&#x305D;&#x308A;&#x3083;&#x3059;&#x3079;&#x3066;&#x306E;&#x7D44;&#x307F;&#x5408;&#x308F;&#x305B;&#x3092;&#x898B;&#x308B;&#x3068;$O(N ^ 2)$&#x306B;&#x306A;&#x3063;&#x3066;&#x4ECA;&#x56DE;&#x306E;&#x5236;&#x7D04;&#x4E0B;&#x3060;&#x3068;&#x7121;&#x7406;&#x3060;&#x308F;&#x306A;&#x3002;</p>
<h3 id="%E3%81%A1%E3%82%83%E3%82%93%E3%81%A8%E8%A7%A3%E8%AA%AC%E3%82%92%E8%A6%8B%E3%82%8B">&#x3061;&#x3083;&#x3093;&#x3068;&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x308B;</h3>
<p>&#x300C;&#x60AA;&#x3044;&#x7DDA;&#x306E;&#x5408;&#x8A08;&#x3001;&#x7C21;&#x5358;&#x306B;&#x51FA;&#x305B;&#x308B;&#x3058;&#x3083;&#x3093;&#x300D;&#x3068;&#x8003;&#x3048;&#x3066;&#x66F8;&#x3044;&#x305F;&#x306E;&#x304C;&#x4E0A;&#x306E;&#x30B3;&#x30FC;&#x30C9;&#x3067;&#x3057;&#x305F;&#x3002;<br>
&#x3082;&#x3061;&#x308D;&#x3093;&#x51E6;&#x7406;&#x81EA;&#x4F53;&#x306F;&#x7C21;&#x5358;&#x306A;&#x306E;&#x3067;&#x3059;&#x304C;&#x3001;&#x8A08;&#x7B97;&#x91CF;&#x306E;&#x58C1;&#x304C;&#x7ACB;&#x3061;&#x306F;&#x3060;&#x304B;&#x308A;&#x307E;&#x3059;&#x3002;  </p>
<p>&#x89E3;&#x8AAC;&#x3067;&#x308F;&#x3056;&#x308F;&#x3056;<code>(&#x60AA;&#x3044;&#x7DDA;&#x306E;&#x5408;&#x8A08;) = ( &#x7DDA;&#x306E;&#x5408;&#x8A08; - &#x826F;&#x3044;&#x7DDA;&#x306E;&#x5408;&#x8A08; )</code>&#x3068;&#x3057;&#x3066;&#x3044;&#x308B;&#x306E;&#x306F;&#x3001;&#x5DE5;&#x592B;&#x3059;&#x308C;&#x3070;&#x826F;&#x3044;&#x7DDA;&#x306E;&#x5408;&#x8A08;&#x3092;$O(N)$&#x3067;&#x51FA;&#x305B;&#x308B;&#x304B;&#x3089;&#x306A;&#x3093;&#x3067;&#x3059;&#x306D;&#x3002;<br>
&#x8A73;&#x7D30;&#x306F;&#x89E3;&#x8AAC;&#x3092;&#x898B;&#x3066;&#x3044;&#x305F;&#x3060;&#x304F;&#x3068;&#x3057;&#x3066;&#x3001;&#x4EE5;&#x4E0B;&#x306E;&#x30B3;&#x30FC;&#x30C9;&#x3067;&#x306F;9&#x884C;&#x76EE;&#x304B;&#x3089;&#x306E;for&#x6587;&#x304C;&#x305D;&#x308C;&#x306B;&#x3042;&#x305F;&#x308A;&#x307E;&#x3059;&#x3002;<br>
&#x8003;&#x3048;&#x65B9;&#x3092;&#x7406;&#x89E3;&#x3059;&#x308B;&#x306E;&#x306B;&#x306A;&#x304B;&#x306A;&#x304B;&#x306E;&#x6642;&#x9593;&#x3092;&#x8981;&#x3057;&#x307E;&#x3057;&#x305F;&#x1F607;</p>
<py-cell>def E(N, A):
    p = defaultdict(list)
    for i, a in enumerate(A, 1):
        p[a].append(i)
        
    res = 0
    for i in range(1, N + 1): res += (N + 1 - i) * (i // 2)
    
    for v in p.values():
        l = 0; r = len(v) - 1
        while l &lt; r:
            
            if v[l] &lt; (N + 1 - v[r]):
                res -= (r - l) * v[l]
                l += 1
            else:
                res -= (r - l) * (N + 1 - v[r])
                r -= 1
                
    return res
    
test_all(E)</py-cell>
<p>&#x7D50;&#x679C;&#xFF1A;<a href="https://atcoder.jp/contests/abc290/submissions/39335826">#39335826</a></p>
<p>&#x81EA;&#x7531;&#x6B04;</p>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<h2 id="%E8%87%AA%E7%94%B1%E6%AC%84">&#x81EA;&#x7531;&#x6B04;</h2>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell>
<py-cell></py-cell><!-- footnotes --><!--kg-card-end: html-->]]></content:encoded></item></channel></rss>