tag:blogger.com,1999:blog-55072231614905729342024-03-19T16:47:08.603+08:00Tropical Software ObservationsFavorite Medium's blog about software and technologyBacchus Dhttp://www.blogger.com/profile/02856305235432641508noreply@blogger.comBlogger60125tag:blogger.com,1999:blog-5507223161490572934.post-8891545878812709162020-04-03T13:46:00.000+08:002020-04-03T13:46:11.274+08:00Recommender Systems<div dir="ltr" style="text-align: left;" trbidi="on">
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<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 28px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Introduction to Recommender Systems </span></div>
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<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Recommender systems are an important application of machine learning. They are critical drivers for online retail businesses such as Amazon and Netflix as they introduce customers to products that are purchased by other users with similar tastes. From the perspective of machine learning, it has an important property of learning features. </span></div>
<h1 dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 10pt;">
<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">When to use Recommender System?</span></h1>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The representative examples are Amazon and Netflix. There are many users, products, ratings and overlap in the items reviewed by different users. So this is not for a one-of-a kind product or a highly customized </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">product for each individual. </span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The major technique of recommender system is collaborative filtering algorithm. Let's see how collaborative filtering works by applying it to an example of movie ratings. </span></div>
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<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Dataset</span></h1>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">We use the following matrices to represent a dataset. </span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> is the number of movies, </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">is the number of users, and </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> is the number of features.</span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The matrix </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Y</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">( a </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> x </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> matrix) stores the ratings </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">y(i,j)</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> (from 1 to 5, for instance). </span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The matrix </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">R</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> is an binary-valued indicator matrix, where </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">R(i,j)=1</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> if user </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">j</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> gave a rating to movie </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">i</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, and </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">R(i,j)=0</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> otherwise. </span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The matrix ( a </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> x </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> matrix) stores the features of movies. The </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">i</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">-th row of </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">X</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> corresponds to the feature vector </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(i)</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> for the </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">i</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">-th movie.</span></div>
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<span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The matrix </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">( a </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> x </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> matrix) stores user features. The </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">j</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">-th row of Theta corresponds to one parameter vector </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(j)</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">. Both </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(i)</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> and </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(j)</span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> are n-dimensional vectors where n is the number of features. </span></div>
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<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Objective</span></h1>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">We want to predict movie ratings for the movies that users have not yet rated, that is, the entries with </span><span style="background-color: transparent; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">R(i,j)=1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">. This will allow us to recommend the movies with the highest predicted ratings to the user. </span></div>
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<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Approach</span></h1>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Consider a set of </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">-dimensional parameter vectors </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> and </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, where the model predicts the rating for movie </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">i</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> by user </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">j</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> as </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">y(i,j) =( </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(j)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">T</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x(i) </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(Note: </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">M</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">T</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> means transpose of matrix </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">M</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">). Given a dataset that consists of a set of ratings produced by some users on some movies, the model learns the parameter vectors </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> and </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">that produce the best fit (minimizes the squared error).</span></div>
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<h1 dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 10pt;">
<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Cost Function</span></h1>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">By fitting available user ratings, we can estimate parameters such as user features and movie features. The fitting is done by evaluating the cost function given by , </span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">J(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">) = </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(i,j): r(i,j)=1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(( </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(j)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">T</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x(i)-</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">y</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(i,j)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">+ (</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">j=1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">k=1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">k</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(j)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2 </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">) + (</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">i=1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">k=1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">k</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(j)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2 </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span></div>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> The first term on the right measures the squared differences between predictions and available ratings. The second and third terms are for regularization of user parameters and product parameters respectively. Regularization is for minimizing parameters for the sake of generalizing models to fit new data where lambda indicates its strength. So the cost function is determined by a balance between fitting the given data and fitting new data. </span></div>
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<h1 dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 10pt;">
<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Gradient</span></h1>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The minimization of cost function is done by updating parameters using gradient descent. </span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><img alt="preview (2).png" height="29px;" src="https://lh5.googleusercontent.com/nYI5M5INFZQxyjyWGft5YnzNfMMdArkqYmmW8MuAZRWD2Ik2KLAvM58j2gmW4z334w39Vu4kklFku5CMuRW-MHnWRyncsVPZTBKAoqNlxcLFPA2VTTuU1MZeGOZ2FoumBQ" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="103px;" /></span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><img alt="preview (3).png" height="29px;" src="https://lh3.googleusercontent.com/H82ufJjU0PXbAVrBdyDA0FmIJ5oIMKbheaylEZhZtK9xjuvkgwFP_tURgRexBV4tjyy_a3ZcDRS14qd4_GsD9Ni2s6Bek5AjSWwYOv3KAnOjdTF8rnl1YLW6sjZj84MpQw" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="103px;" /></span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">where </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> is a learning rate which determines the updating speed. The smaller it is, the more precise and slower the updating proceeds. </span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">The gradients of the cost function are calculated by following,</span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><img alt="preview (7).png" height="34px;" src="https://lh3.googleusercontent.com/cGD3KNOPmjSvhrJcf3FJJohA2k_bc01M0RBIRShNq4Ud-55EyoWEsEMyhfPR6CGzjDOxxXzDMAqDDdUBMPcbN0lp1ATlCK92osRq7oEuacddB91G4gVhYW_VSc-QKbcl-A" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="251px;" /></span></div>
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<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"><img alt="preview (8).png" height="34px;" src="https://lh3.googleusercontent.com/R_dQp1ADbCOD5kaF7OIB_vwOZgdURK1bOit5aRheoy0Lisypmft6B_PG1IRFxKhobIJ3QVXyxxpKkzBAlB4la_UGxOagGfeYyVgrEVKzuClJPiIUPS6i6pnlYXRZnrXg_g" style="-webkit-transform: rotate(0.00rad); border: none; transform: rotate(0.00rad);" width="251px;" /></span></div>
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<h1 dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 10pt;">
<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Collaborative filtering learning algorithm</span></h1>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Since we can learn features whether user parameters or product parameters, we can use random numbers for initial parameters and keep updating them until we get the small enough value of cost function. Then we use the learned features to predict a rating. So we can follow these steps for collaborative filtering. </span></div>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">1. Initialize </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> and </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">to small random values</span></div>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2. Minimize </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">J(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(1)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">using gradient descent for every </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">j=1, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">u</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, i=1, ..., </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">m</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> </span></div>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">3. For a user with parameters </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> and a movie with learned features </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, predict a rating </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">T</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span></div>
<b style="font-weight: normal;"><br /></b>
<br />
<h1 dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 10pt;">
<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Recommendation</span></h1>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">For each product i, we learn a feature vector </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">(i)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">in </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">R</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">n</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">. </span></div>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">A feature vector captures the aspects of the product which are important for ratings. For example, the features for movies can be </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">1</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;"> = romance, </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">2</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">= action, </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">3</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">= comedy, and so on. If the distance between features of two movies, </span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">x(i)-x(j)</span><span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">, is small, we can say the two movies are similar. So We can make recommendations to a user by finding similar items to the one with a high rating by the user. </span></div>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">For a new user who doesn't have any ratings yet, we can predict ratings as the means of available ratings. </span></div>
<b style="font-weight: normal;"><br /></b>
<br />
<h1 dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 10pt;">
<span style="background-color: transparent; color: black; font-family: "trebuchet ms"; font-size: 21px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">Conclusion</span></h1>
<div dir="ltr" style="line-height: 1.15; margin-bottom: 0pt; margin-top: 0pt;">
<span style="background-color: white; color: black; font-family: "arial"; font-size: 13px; font-style: normal; font-variant: normal; font-weight: normal; text-decoration: none; vertical-align: baseline; white-space: pre-wrap;">In recommender system using collaborative filtering learning algorithm, each user makes ratings for a subset of products, thus making contributions to learn better features, which are then used to make better predictions of rating for everyone. </span></div>
<br /></div>
PSYhttp://www.blogger.com/profile/05715517357165207052noreply@blogger.com2tag:blogger.com,1999:blog-5507223161490572934.post-71460646222346322342014-07-01T18:38:00.002+08:002014-07-01T18:40:03.890+08:00Go Concurrency: From the Trenches<div dir="ltr" style="text-align: left;" trbidi="on">
Recently I finished some work using the Go programming language and will share here some things learned while implementing web crawlers in this cool language.<br />
<h3 id="current-implementation-and-its-weak-point">
Our Current Implementation and its Weak Points</h3>
Our goal was to improve the efficiency and performance of some web crawler scripts that have been running in production for over two years with increasing performance problems, primarily due to CPU usage. Currently we are managing these crawlers to grab data from various web sites. The crawlers were written in Ruby, and the method used is straightforward: first get a page URL or account ID, parse the page content or invoke an API call, persist data to the db, and repeat. The benefits of this approach are that it is simple and straightforward; anyone can easily understand the structure. However, when the size of a task queue grows to be very large, weaknesses emerge. The queued jobs can get backed up waiting for responses, which in turn extends the execution time of a batch significantly.<br />
<h3 id="built-in-concurrency-support">
Built-in Concurrency Support</h3>
There are two possible paths to improve our code, one using multiple threads, the other using non-blocking IO and callbacks. After reading some code, I chose to use threads since I find such code to be more readable and maintainable.<br />
<h4 id="goroutines">
goroutines</h4>
Golang has a built-in concurrency construct called a goroutine, based on the <em>CSP</em> model (It is said the model is <em>Newsqueak-Alef-Limbo</em>, which has some differences between original <em>CSP</em>, please refer to this <a href="http://talks.golang.org/2012/concurrency.slide#10">slide</a> for some extra information). Here is a brief instruction to goroutines, from the <a href="http://talks.golang.org/2012/concurrency.slide#17">official slides</a>.<br />
<ul>
<li>An independently executing function, launched by a go statement.</li>
<li>Has its own call stack, which grows and shrinks as required.</li>
<li>It's very cheap. It's practical to have thousands, even hundreds of thousands of goroutines.</li>
<li>Not a thread.</li>
<li>There might be only one thread in a program with thousands of goroutines.</li>
<li>Instead, goroutines are multiplexed dynamically onto threads as needed to keep all the goroutines running.</li>
<li>If you think of it as a very cheap thread, you won't be far off.</li>
</ul>
Here is a simple sample program with <code>goroutines</code>:<br />
<pre><code>
</code></pre>
<pre style="text-align: left;"><code>package main
import "fmt"
import "time"
func main() {
fmt.Println("START 1")
for i := 0; i < 3; i++ {
foo(i)
}
fmt.Println("END 1")
fmt.Println("START 2")
for i := 0; i < 3; i++ {
go foo(i)
}
fmt.Println("END 2")
time.Sleep(1 * time.Second)
}
func foo(i int) {
time.Sleep(1)
fmt.Printf("Call index: %d\n", i)
}
</code></pre>
<pre><code>
</code></pre>
And here is the output:<br />
<br />
<pre><code>START 1
Call index: 0
Call index: 1
Call index: 2
END 1
START 2
END 2
Call index: 0
Call index: 2
Call index: 1
</code></pre>
<pre><code>
</code></pre>
There are two loops in the code, and each invokes function <code>foo()</code> three times. The difference is the function is launched directly in first loop, while launched via a <code>go</code> statement in the other one. The execution order of the first loop is normal, but the second loops output is out of order. Actually the output from second loop should have an unpredictable order, and you can check this by issuing more <code>goroutines</code>. By the way, the sleep used in Line 19 is to guarantee all <code>goroutines</code> has finished execution, since the main process does not wait for others. There are, of course, some better synchronisation mechanisms available. The full source can be found <a href="http://play.golang.org/p/8BT6RVR7-w">here</a>.<br />
<h4 id="channel">
channels</h4>
The <code>goroutine</code> shown above doesn't return data, so it's not a full functional component. Now let's talk about Go's <code>channel</code> construct. <code>Channels</code> are something like a pipe: data is pumped in from one side, and fetched from the other. Let's modify the code above to show how this works. I have removed the normal loop to make the code shorter.<br />
<br />
<pre><code>package main
import "fmt"
func main() {
foo_channel := make(chan string)
channel_cnt := 3
fmt.Println("Start launching goroutines")
for i := 0; i < channel_cnt; i++ {
go foo(i, foo_channel)
}
fmt.Println("Finish launching goroutines")
for i := 0; i < channel_cnt; i++ {
fmt.Println(<-foo_channel)
}
}
func foo(i int, foo_channel chan string) {
s := fmt.Sprintf("Call index %d", i)
foo_channel <- s
}
</code></pre>
<pre><code>
</code></pre>
And here is the output:<br />
<pre><code>
</code></pre>
<pre><code>Start launching goroutines
Finish launching goroutines
Call index 0
Call index 1
Call index 2
</code></pre>
<pre></pre>
<br />
As we can see, there is no sleep() call at the end, but instead a variable <code>foo_channel</code> which pipes data from <code>goroutines</code> back to the main process. The put operation will be blocked if there is already some data in the channel, and the get operation will also be blocked if there is no data in the channel. This is the method that controls function flow. Full source can be found <a href="http://play.golang.org/p/FzHuVttKnB">here</a>.<br />
<br />
The size of this channel is 1, which makes it like a semaphore. But we can specify another positive integer while creating channel, then the new one should contain buffer function. While pushing data to the channel, the operation will only be blocked if all buffers has been filled. In the other hand, the get operation will only be blocked if all buffers are cleared. This feature can be used to control tje concurrency size of our web crawlers. Here is another example:<br />
<br />
<pre><code>package main
import "fmt"
import "time"
func main() {
channel_cnt := 10
concurrency_chan := make(chan bool, 2)
msg_chan := make(chan string)
fmt.Println("Start launching goroutines")
for i := 0; i < channel_cnt; i++ {
go foo(i, concurrency_chan, msg_chan)
}
fmt.Println("Finish launching goroutines")
for i := 0; i < channel_cnt; i++ {
fmt.Println(<-msg_chan)
}
}
func foo(i int, concurrency_chan chan bool, msg_chan chan string) {
concurrency_chan <- true
s := fmt.Sprintf("%s: Call index %d", time.Now(), i)
msg_chan <- s
time.Sleep(1 * time.Second)
<-concurrency_chan
}
</code></pre>
This program create two channels, and the <code>concurrency_chan</code> is a buffered channel of size 2. At the beginning of each goroutine, we put a <code>true</code> value into the channel, and receive back at the other end. With these two lines, we can guarantee that only 2 goroutines are ever running at same time. Adding a sleep() can show this more clearly. Again, source code can be found <a href="http://play.golang.org/p/8-qUxtH0gp">here</a>.<br />
<h3 id="web-crawlers-in-golang">
Web Crawlers in Golang</h3>
With goroutines, we can implement concurrent web crawlers more easily than with traditional threads. Like with our original architecture, the new approach also has three basic steps: 1) fetch a task from queue server, 2) parse the URL or account ID, then 3) save to the database. The difference is in the second and third steps, now goroutines are used to inexpensively multiplex our calls to external services. Since a goroutine is implemented as a regular function, the changes to our original logic are minor, even trivial. However, the improvement is great. During the testing, we found CPU utilisation for hosts running our crawlers has been reduced by up to 90%. But this is an upper bound and multiple hosts are still needed for backup and to segregate API calls to multiple services.<br />
<br />
<br /></div>
Anonymousnoreply@blogger.com1tag:blogger.com,1999:blog-5507223161490572934.post-24114250416899200412014-01-17T18:21:00.001+08:002014-01-17T18:21:52.806+08:00Polymer: First Impressions<div dir="ltr" style="text-align: left;" trbidi="on">
After a few days of trying out Polymer, here are some of my first impressions.<br />
<h3>
What is Polymer?</h3>
According to its official website, <a href="http://www.polymer-project.org/">Polymer</a> is a new type of library for the web, built on top of <a href="http://www.w3.org/TR/components-intro/">Web Components</a>, and designed to leverage the evolving web platform.<br />
<br />
<h3>
Solving the new <span style="font-family: Courier New, Courier, monospace;"><table /></span> issue</h3>
Although we have come a long way from <table /> layouts to the Semantic Web, it's still obvious that we are merely using <div /> or other elements to replace tables. With Polymer, which utilizes Web Components, we can finally realise the real Semantic Web to encapsulate structural details of components in separate files so that our documents are more readable.<br />
<br />
Here's an example of creating a tab in Foundation.<br />
<br />
<b>index.html</b><br />
<br />
<span style="font-family: Courier New, Courier, monospace;"><!doctype html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><head></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script src="polymer/platform.js"></script></span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;"> <link rel="import" href="name-list.html"></span><br />
<span style="font-family: Courier New, Courier, monospace;"></head></span><br />
<span style="font-family: Courier New, Courier, monospace;"><body></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <dl class="tabs" data-tab></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <dd class="active"><a href="#panel2-1">Tab 1</a></dd></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <dd><a href="#panel2-2">Tab 2</a></dd></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </dl></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div class="tabs-content"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div class="content active" id="panel2-1"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>Abc</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </div></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div class="content" id="panel2-2"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>Abc</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>Abc</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </div></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </div></span><br />
<span style="font-family: Courier New, Courier, monospace;"></body></span><br />
<span style="font-family: Courier New, Courier, monospace;"></html></span><br />
<br />
In Polymer, we can create the same tab this way<br />
<br />
<b>components.html</b><br />
<br />
<span style="font-family: Courier New, Courier, monospace;"><link rel="import" href="bower_components/polymer/polymer.html"></span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;"><polymer-element name="x-tabs"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <template></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <dl id="tabs" class="tabs" data-tab></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <template repeat="{{ items }}"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <dd class="{{ active ? 'active' : '' }}"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <a href="#">{{ title }}</a></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </dd></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </template></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </dl></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div class="tabs-content"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <content></content></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </div></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </template></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script></span><br />
<span style="font-family: Courier New, Courier, monospace;"> Polymer('x-tabs', {</span><br />
<span style="font-family: Courier New, Courier, monospace;"> ready: function(){</span><br />
<span style="font-family: Courier New, Courier, monospace;"> this.items = this.children.array().map(function(el){</span><br />
<span style="font-family: Courier New, Courier, monospace;"> return {</span><br />
<span style="font-family: Courier New, Courier, monospace;"> title: el.title,</span><br />
<span style="font-family: Courier New, Courier, monospace;"> active: el.getAttribute('active') !== null</span><br />
<span style="font-family: Courier New, Courier, monospace;"> };</span><br />
<span style="font-family: Courier New, Courier, monospace;"> });</span><br />
<span style="font-family: Courier New, Courier, monospace;"> }</span><br />
<span style="font-family: Courier New, Courier, monospace;"> })</span><br />
<span style="font-family: Courier New, Courier, monospace;"> </script></span><br />
<span style="font-family: Courier New, Courier, monospace;"></polymer-element></span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;"><polymer-element name="x-tab" noscript></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <template></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div class="content"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <content></content></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </div></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </template></span><br />
<span style="font-family: Courier New, Courier, monospace;"></polymer-element></span><br />
<br />
<b>index.html</b><br />
<br />
<span style="font-family: Courier New, Courier, monospace;"><!doctype html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><head></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script src="polymer/platform.js"></script></span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;"> <link rel="import" href="name-list.html"></span><br />
<span style="font-family: Courier New, Courier, monospace;"></head></span><br />
<span style="font-family: Courier New, Courier, monospace;"><body></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <x-tabs></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <x-tab title="test"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>Abc</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </x-tab></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <x-tab title="Hello" active></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>Abc</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>Abc</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </x-tab></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </x-tabs></span><br />
<span style="font-family: Courier New, Courier, monospace;"></body></span><br />
<span style="font-family: Courier New, Courier, monospace;"></html></span><br />
<br />
Although this example might be missing some wiring, it still shows the clarity of the component structure as opposed to a pile of difficult to maintain code.<br />
<br />
<h3>
Data Binding</h3>
While we have so many MV frameworks out there, 2-way data binding is always a tough issue facing us developers. In Polymer, we get it by default with patterns similar to data binding in AngularJS.<br />
<br />
In AngularJS<br />
<br />
<b>index.html</b><br />
<br />
<span style="font-family: Courier New, Courier, monospace;"><!doctype html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><head></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script src="angular.js"></script></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script src="app.js"></script></span><br />
<span style="font-family: Courier New, Courier, monospace;"></head></span><br />
<span style="font-family: Courier New, Courier, monospace;"><body ng-controller="MainCtrl"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div ng-repeat="i in items"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <p>{{ i }}</p></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </div></span><br />
<span style="font-family: Courier New, Courier, monospace;"></body></span><br />
<span style="font-family: Courier New, Courier, monospace;"></html></span><br />
<br />
<b>index.js</b><br />
<br />
<span style="font-family: Courier New, Courier, monospace;">function MainCtrl($scope){</span><br />
<span style="font-family: Courier New, Courier, monospace;"> $scope.items = [1,2,3,4,5];</span><br />
<span style="font-family: Courier New, Courier, monospace;">}</span><br />
<span style="font-family: Courier New, Courier, monospace;"><br /></span>
<span style="font-family: Courier New, Courier, monospace;">MainCtrl.inject = ['$scope'];</span><br />
<br />
In Polymer<br />
<br />
<b>index.html</b><br />
<br />
<span style="font-family: Courier New, Courier, monospace;"><!doctype html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><html></span><br />
<span style="font-family: Courier New, Courier, monospace;"><head></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script src="polymer/platform.js"></script></span><br />
<span style="font-family: Courier New, Courier, monospace;"></head></span><br />
<span style="font-family: Courier New, Courier, monospace;"><body></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <polymer-element name="x-items"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <template repeat="i in items"></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <div><p>{{ i }}</p></div></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </template></span><br />
<span style="font-family: Courier New, Courier, monospace;"> </polymer-element></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <x-items></x-items></span><br />
<span style="font-family: Courier New, Courier, monospace;"> <script></span><br />
<span style="font-family: Courier New, Courier, monospace;"> document.querySelector('x-items').model = { items: [1,2,3,4,5] };</span><br />
<span style="font-family: Courier New, Courier, monospace;"> </script></span><br />
<span style="font-family: Courier New, Courier, monospace;"></body></span><br />
<span style="font-family: Courier New, Courier, monospace;"></html></span><br />
<br />
You can see in the example above that there isn't much difference between the data binding strategies of AngularJS and Polymer.<br />
<br />
<h3>
Conclusion and first impressions</h3>
At the moment Polymer is still quite new for me and I'm still trying to grasp how it works. If fact, the examples I used above might not even be how the Google Developers Group intended it to be used, but I am sure it lays a good foundation for other upcoming web frameworks.<br />
<div>
<br /></div>
</div>
shiawuenhttp://www.blogger.com/profile/09395122337815354548noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-36281972072801147812013-07-01T00:28:00.000+08:002013-07-01T10:18:06.550+08:00Attempting to use Chrome's PNaCl<div dir="ltr" style="text-align: left;" trbidi="on">
Google released its <a href="http://www.chromium.org/nativeclient/pnacl/building-and-testing-portable-native-client">PNaCl</a> project at Google I/O 2013 which allows users to write portable native client application code. Portable native client applications (PNaCl) can be translated to true native binary programs and executed on supported architectures (ARM and x86).<br />
<br />
Currently, the official toolchain contains the Clang front end which can only be used to compile C/C++ source to PNaCl applications.
But the PNaCl application is a subset of LLVM so I tried compiling some other languages with LLVM front ends to see if they would work. So far there hasn't been much progress but I'm still working on a solution and this post is just to document my attempts in hopes that others might learn from my experiences.<br />
<h3>
Toolchain Installation</h3>
The PNaCl toolchain can be downloaded via Google's <a href="https://developers.google.com/native-client/sdk/download">Native Client SDK</a>. Follow the instruction for downloading and installing.
Here's a recap of the commands I used:<br />
<ul>
<li><code>./naclsdk install pepper_canary</code></li>
<li><code>export NACL_SDK_ROOT=/where/you/put/the/pepper_canary</code></li>
<li><code>cd pepper_canary/examples/hello_world; TOOLCHAIN=pnacl CONFIG=Release make</code></li>
</ul>
Chrome also needed some additional setup which is also described in the SDK page.
Notice that the <code>#enable-nacl-debug</code> flag must not be enabled, or else the PNaCl application will not be able to load (<a href="http://www.ahwkong.com/post/43309281489/native-client-see-only-status-creating-embed">ref</a>). Samples are also avaliable in the Chrome store, and the link can also be found on <a href="http://www.chromium.org/nativeclient/pnacl/building-and-testing-portable-native-client">this page</a>.<br />
<h3>
Golang and llgo</h3>
The first language I tried was Golang. There is a Golang frontend for LLVM called <a href="https://github.com/axw/llgo">llgo</a>,
and I have tried it to generate LLVM bytecode from my Golang program.<br />
<br />
<code>go get</code> is recommended for installation of the <code>llgo</code> package. The <code>CGO_CFLAGS</code> and <code>CGO_LDFLAGS</code> should be set before executing <code>go get</code>.
I followed steps from the <a href="http://blog.awilkins.id.au/2013/05/llgo-on-go-11.html">author's blog</a> to install:<br />
<ul>
<li>Install Go 1.1</li>
<li>Get the PNaCl SDK (contains Clang and LLVM)</li>
<li>Run <code>go get github.com/axw/llgo/cmd/llgo-dist</code></li>
<li>Run <code>llgo-dist</code> to build and install the runtime</li>
</ul>
I tried this on OSX 10.7.5 but got a "<code>No matching .ll file for asm_darwin_amd64.s"</code> error message.
I <a href="https://github.com/axw/llgo/issues/36">filed an issue</a> on Github and learned from the response that I needed to set target flag '-triple' to <code>x86_64-apple-macosx10.7.0</code> or <code>i386-apple-macosx10.7.0</code>. I then got another error while compiling the runtime with the <code>llgo-dist</code> command, which seems to be due to an upgrade of golang to 1.1.
So I left <code>llgo</code> there and anxiously await new updates from the project.<br />
<h3>
Ruby</h3>
Another attempt is <code>ruby</code>. Since Ruby 2.0.0, NaCl support has been integrated which is concisely documented <a href="https://github.com/csigi/learningruby/blob/master/ruby2/ruby-2.0.0-rc1/nacl/README.nacl">here</a>.
During compilation of the Ruby source I got an <code>rdoc</code> error, so I added <code>--disable-install-rdoc</code> to the configue command.<br />
<br />
<pre><code>$ ./configure --prefix=/tmp/nacl-ruby --host=x86_64-nacl --with-baseruby=`which ruby` --disable-install-rdoc
</code></pre>
<br />
Also I made a symbolic link of all directories in the /include SDK directory to Ruby for solving a 'header file not found' error.<br />
<br />
<pre><code>$ ln -s /home/vagrant/source/nacl_sdk/pepper_canary/include/* ./
</code></pre>
<br />
If running this command on any 64-bit OS, please make sure the 32-bit glibc library is installed, or some binaries may cause errors. I successfully compiled the native executable for Ruby, but for some reason which I'm still investigating, it can't be executed by the PNaCl binary.<br />
<br />
<h3>
Next steps</h3>
I will still try to write portable native client code with other languages.
I just saw the author of <code>llgo</code> has made some changes in Github so I plan to pull his changes. Stay tuned for another post on my progress. Not giving up yet!<br />
<br /></div>
Anonymousnoreply@blogger.com1Hong Kong22.396428 114.1094970000000321.9265115 113.46405000000003 22.8663445 114.75494400000004tag:blogger.com,1999:blog-5507223161490572934.post-34202511097873929002013-06-21T18:45:00.003+08:002013-06-21T18:45:30.836+08:00Meteor js: Initial Impressions<div dir="ltr" style="text-align: left;" trbidi="on">
I've had the opportunity to use Meteor for a small project. For those of you who may not know, Meteor is a Javascript web framework built around node.js. It's not ideal (or even intended) for many purposes. Meteor doesn't follow the conventions of other popular frameworks like Rails and Django. Instead, it builds a complete platform with highly integrated client and server side architecture. <br />
<div>
<br /></div>
<div>
<h1>
Why Meteor?</h1>
<br />
It's true that Meteor can be used to make just about any type of app, but the real gains come from the magic under the hood which makes it an absolute pleasure to develop real-time single page web apps. The more real time interactivity required for the app, the more likely Meteor is a fit. A great example would be game-like apps. Because of how easy it is to deploy to the free meteor service it's also great for proof of concepts, demos, and internal tools. It's also fairly easy to deploy to heroku after converting the project to a node bundle.<br />
<br />
<h1>
Yet Another Web Server?</h1>
<br />
No, it's nothing like express, Sinatra, Rails, or any of the many other frameworks you've used. This framework is very opinionated about what you should be doing and how you should be doing it. Meteor stays true its stated principles. Here's a few that I think are worth really noting:<br />
<br />
<ol>
<li>You write your entire app in one language, defining models and code that can be used on the client or server without repeating yourself.</li>
<li>Templates are done with <a href="http://handlebarsjs.com/" target="_blank">handlebars</a>. Smart, live updates to the clients as the database changes are done automatically. </li>
<li>You write client code to get data through Javascript calls to mongodb. No more getting data from REST API end points.</li>
<li>The framework uses pre-emptive success on database transactions. This gives the appearance of a zero latency connection as things begin to happen immediately and only revert if a change in the data is unsuccessful.</li>
</ol>
<br />
<h1>
Limitations</h1>
<br />
Meteor is a very new framework. Much of the API is changing. Much is yet to be written. Some simple tasks in other frameworks, like Ruby on Rails, are a nightmare or even impossible in Meteor. An example of something quite difficult is defining a REST API to access data from 3rd party apps. Or something as simple as using the index of the each loop in the template engine. Because of the dynamic re-rendering it's a real challenge. And because it's new software, the occasional bug will be found.<br />
<br />
Stayed tuned for part 2 where I discuss using Meteor addons, creating your own and the community bundler Meteorite (mrt).<br />
</div>
</div>
Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-14089133867900308612013-05-16T17:08:00.000+08:002013-05-16T17:08:19.086+08:00Robust Internationalization on Rails<div dir="ltr" style="text-align: left;" trbidi="on">
<h4>
Background</h4>
The standard procedure for building an app with a selectable language option is to have a set of files (a pack) for each language where the target string in the target language is referenced by a key. The keys are unique within each language pack and the same between packs.<br />
<br />
These language packs could, for example, be in YAML files:<br />
<br />
<span style="font-family: Courier New, Courier, monospace;">en.yml</span><br />
<blockquote class="tr_bq">
<span style="font-family: Courier New, Courier, monospace;">hi: Hello, world!<br />bye: Goodbye, world.</span></blockquote>
<span style="font-family: Courier New, Courier, monospace;">es.yml</span><br />
<blockquote class="tr_bq">
<span style="font-family: Courier New, Courier, monospace;">hi: ¡Hola, mundo!<br /> bye: Adiós, mundo. </span></blockquote>
<a href="http://rubyonrails.org/">Ruby on Rails</a> includes <a href="http://guides.rubyonrails.org/i18n.html">the i18n gem</a> by default, giving us a very easy way to produce any snippet of language we need. For example, <span style="font-family: Courier New, Courier, monospace;">I18n.t "hi"</span> would return the string "Hello, world!" if our environment is English, and "¡Hola, mundo!" if our environment is Spanish.<br />
<br />
If we ask for something that is not defined in our language pack, we get a message to that effect, e.g. "translation missing: en.seeyoulater". Note that the message includes the missing key ("seeyoulater"), so we can easily go in and add the necessary content.<br />
<h4>
The Story</h4>
In a recent project, I needed to create an admin page which would allow us to identify content that exists in our main language (English) but not in our secondary language (Spanish). To do this, I needed a way to prevent i18n from generating the translation missing message and instead return something obvious, such as nil.<br />
<br />
Fortunately, <span style="font-family: Courier New, Courier, monospace;">I18n#t</span> provides an option to raise an exception when content is not found:<br />
<blockquote class="tr_bq">
<span style="font-family: Courier New, Courier, monospace;">I18n.t "seeyoulater", :raise => true</span></blockquote>
which can then be caught to give us our desired nil.<br />
<blockquote class="tr_bq">
<span style="font-family: Courier New, Courier, monospace;">I18n.t "seeyoulater", :raise => true rescue nil</span></blockquote>
Problem solved, job done.<br />
<h4>
Oops</h4>
Obviously I wouldn't be writing this post of that were the whole story.<br />
<br />
My admin page worked perfectly on the development server, but on production it failed. The two systems are identical; what could possibly be the cause?<br />
<br />
A little bit of detective work uncovered two points:<br />
<br />
1. There's an i18n option, turned on by default in a production environment, to <b>not</b> generate "translation missing" messages. Instead, when looking for a translation of something that exists in the primary language, i18n will automatically and silently use the original string (e.g. English) in place of the missing translation.<br />
<br />
2. This automatic and silent substitution has the unwanted side effect of pre-empting the <span style="font-family: Courier New, Courier, monospace;">:raise => true</span> option above. Now our missing-translation detector is broken.<br />
<br />
The symptom of the failure on production was that no translations were reported missing, and much of the content that claimed to be in Spanish was actually in English.<br />
<h4>
Conclusion</h4>
In the end, all is well. In the end, we didn't need this functionality.<br />
<br />
But I'm bothered by the fact that the default behavior of i18n is to treat exceptions as things to be avoided at all cost. Obviously we don't want uncaught exceptions making their way into our error log (or worse yet, to the browser), but there are valid reasons for throwing and catching exceptions, even on a production server, and this is one of them.<br />
<br />
I'm bothered that I've explicitly written into my code that I want an exception, and i18n is pulling rank on me and saying no, you can't have one.<br />
<br />
In the end, though, the logical solution is that any translations that need to be managed from the web should ultimately be in stored in a database and managed along with the other dynamic content. Translation data that is stored locally, e.g. in YAML files, should be managed/tested on the development system.</div>
Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-62102002326717927782013-02-25T14:26:00.000+08:002013-02-25T14:26:03.603+08:00git bisect finds code that introduced regressions<div dir="ltr" style="text-align: left;" trbidi="on">
<p>
<span style="font-family: Trebuchet MS, sans-serif;">From time to time while developing software, especially on a large project, you find a regression some time after it was introduced. Maybe introduced by someone else on the team. Maybe 50 or 100 commits after it was introduced. For example, perhaps Internet Explorer is buggy and one of our stylesheet changes broke it. We just don't know <i>when</i> the regression was introduced, or exactly what code is causing it. In an ideal world we would have had adequate tests in place to reach that coveted '100% test coverage.' But back in the real world we often have to work with software that doesn't have tests in place, or is minimally tested, or just can't be easily tested. Like the browser example.</span>
</p>
<p>
<span style="font-family: Trebuchet MS, sans-serif;">One thing we could do is use <code>git blame</code>. Git blame basically allows us to know who and which commit added what to which file. </span>
</p>
<pre style="background-color: black; color: white; font-size: 10px; padding: 10px;">$ git blame Gemfile
^c4edf42 (Paul 2013-02-13 10:31:24 +0900 1) source :rubygems
1517dfc4 (Heath 2013-02-13 11:43:05 +0800 2)
1517dfc4 (Heath 2013-02-13 11:43:05 +0800 3) gem "sinatra", :require => "sinatra/base"
1517dfc4 (Heath 2013-02-13 11:43:05 +0800 4) gem "sinatra-contrib"
</pre>
<i><code>git blame</code> shows you which commits contributed to the final outcome of a file.</i>
<p>
<span style="font-family: Trebuchet MS, sans-serif;">This is indeed useful in many situations, but in the course of development we find that sometimes we can observe the behavior changing, but we don't know what code caused the behavior change. In this case git blame will do us little good.</span>
</p>
In more advanced cases, specifically when these two conditions are met:<br />
<ol>
<li>You can identify the functionality that is broken.</li>
<li>You can not identify the code that was changed in the past that broke the functionality.</li>
</ol>
<p>
What we could do is blindly revert back to a previous commit, not knowing how far back it goes, one by one, until we uncover where the commit is that causes the regression to disappear.<br />
Though consider this, in large projects where commits are small you will have many. Not a handful. You may have hundreds or even thousands of commits to sift through! Your database has to be migrated to match the new commit each time. There may be other setup required, like old services and externals that your software relied on. You want to reduce your O(n) search down. The best we're going to get here is a binary search. O(log n)</p>
<p>
So if we implemented the search ourselves we would need to divide the search space in half and put one half on a different branch from the other half. Then continue to divide each branch into smaller branches and repeat until there's a single commit at the end of the tree. Then we'd follow the tree either down the left or right side depending on if we can see the functionality changes. For example, we go to commit #50 of 100. We run our app and we see that the functionality is fixed. So now we know the commit is greater than #50. We continue to #75 and test again. We see the functionality is buggy again at this point. We know now it's between #50 and #75. We could repeat until we find the commit which will show us exactly the causative link. Continue reading for a better solution.</p>
<p>
Because this is exactly what <code>git bisect</code> is for. It automates the process by checking out specific commits and performing a binary search on your commit history. To use git bisect first use <code>git bisect start</code></p>
<pre style="background-color: black; color: white; font-size: 10px; padding: 10px;">$ git bisect start</pre>
Next we should specify the most recent commit where the functionality was bad with git bisect bad<br />
<pre style="background-color: black; color: white; font-size: 10px; padding: 10px;">$ git bisect bad</pre>
<i><code>git bisect bad</code> should generally be used on the head of the branch the issue is on</i>
<p>
Now mark the earliest commit known to not have the software defect with <code>git bisect good [SHA]</code></p>
<pre style="background-color: black; color: white; font-size: 10px; padding: 10px;">$ git bisect good 5d1f0ddc72b791b391bce2df1fa59f55a7a25129
Bisecting: 3 revisions left to test after this (roughly 2 steps)
[3a278003eade29adf10f3dc8357b70f51cd6c9cf] Merge remote-tracking branch 'origin/master'
</pre>
<i>You can also use tags and if you've been tagging your software correctly could specify the version number, or milestone without needing to look up the SHA</i>
<p>
git bisect gives us information on how many more times it estimates it'll need to test using the binary search, and which commit is currently being tested. Each step along the way you'll need to either issue a <code>git bisect good</code> or <code>git bisect bad</code> to specify that the problem either is resolved at this commit or it's still there. After issuing this command for the last time you'll see this:</p>
<pre style="background-color: black; color: white; font-size: 10px; padding: 10px;">$ git bisect good
d0fd1a64162b4bcc49f5f8d0e81f73a4da3b736f is the first bad commit
</pre>
That's all there is to it. We now know exactly which commit caused the issue. We can examine the code there and we know the causative change that caused the defect in our software. Oh, and you'll need to issue <code>git bisect reset</code> after you're finished.</div>
Anonymousnoreply@blogger.com1tag:blogger.com,1999:blog-5507223161490572934.post-54417911189091932312013-01-18T12:37:00.000+08:002013-01-18T12:37:38.436+08:00State of Android Development 2013<iframe src="https://docs.google.com/presentation/d/1MERUB2rHasLTx1PUwrpul-w2aQeHXEMECzVzURlmHXo/embed?start=false&loop=false&delayms=3000" frameborder="0" width="640" height="480" allowfullscreen="true" mozallowfullscreen="true" webkitallowfullscreen="true"></iframe>Unknownnoreply@blogger.com1tag:blogger.com,1999:blog-5507223161490572934.post-31291839958978989532012-10-16T15:16:00.000+08:002012-10-16T15:20:51.635+08:00Ruby Block vs Proc.new vs Lambda vs method(:func) SummarizedThere are many ways to pass code around in Ruby, so today I'm going to make a comparison between the 4 different ways. The first section, I will show the syntax of using each of them:<br />
1. Block<br />
2. Proc<br />
3. Lambda<br />
4. method(:func)<br />
On the second section, I will compare the subtle differences they have.<br />
<br />
<strong>A quick syntax comparison:<br />
</strong>* note that the <strong>result</strong> is at the last section of each code *<br />
1. Block<br />
<script src="https://gist.github.com/3897547.js?file=block.rb"></script>
2. Proc.new<br /><script src="https://gist.github.com/3897566.js"> </script>
3. Lambda<br /><script src="https://gist.github.com/3897598.js"> </script>
4. method(:some_method)<br /><script src="https://gist.github.com/3897600.js?file=method.rb"></script>
<hr /><br />
<strong>Discussion on the subtle differences:<br />
</strong>
The table below summarizes what each of them can and cannot do, under the table, there are a more in depth explanation on the things shown in the table.
<table border="1">
<tbody>
<tr>
<td>Description</td>
<td>Block</td>
<td>Proc</td>
<td>Lambda</td>
<td>Method</td>
<td>Proof</td>
</tr>
<tr>
<td>Storing into a variable</td>
<td>No</td>
<td>Yes</td>
<td>Yes</td>
<td>Yes</td>
<td>See (a)</td>
</tr>
<tr>
<td>How they work</td>
<td>N/A</td>
<td>Code Replacement</td>
<td>Method Call</td>
<td>Method Call</td>
<td>See (b)</td>
</tr>
<tr>
<td>What class they belong to</td>
<td>Proc</td>
<td>Proc</td>
<td>Proc</td>
<td>Method</td>
<td>See (c)</td>
</tr>
<tr>
<td>Check for correct number of argument</td>
<td>No</td>
<td>No</td>
<td>Yes</td>
<td>Yes</td>
<td>See (d)</td>
</tr>
</tbody>
</table>
<strong>
<br/> (a) Storing into a variable<br />
</strong>Only block is not able to be stored into a variable, the rest is possible, refer to the quick syntax section above.<br />
<br />
<strong>(b) How they work<br />
</strong><script src="https://gist.github.com/3897641.js?file=how they work.rb"></script>
Referring to the code right above this sentence, we can see that for <code><font color="blue"><strong>proc_return</strong></font></code>, the line <code><font color="blue"><strong>return "proc2 I AM HERE!"</strong></font></code> is never executed, this is because, <code><font color="blue"><strong>Proc.new{return "proc1}.call</strong></font></code> works like code replacement, we can imagine <code><font color="blue"><strong>proc_return</strong></font></code> to be like this:<br />
<script src="https://gist.github.com/3897642.js?file=code-replacement.rb"></script><br />
<strong>(c) What class they belong to
</strong><br/>Run this code:
<script src="https://gist.github.com/3897650.js?file=what-class.rb"></script>
<strong>(d) Check for correct number of argument
</strong><br />Block and Proc don't check for the correct number of arguments, they discard extra parameters silently.(http://www.ruby-doc.org/core-1.9.3/Proc.html#method-i-call). For lambda and method(:func), they give error right away. Here's the code<br/>
For block:<br/>
<script src="https://gist.github.com/3897656.js?file=block2.rb"></script>
For proc: <br/>
<script src="https://gist.github.com/3897657.js?file=proc2.rb"></script>
For lambda: <br/>
<script src="https://gist.github.com/3897662.js?file=lambda2.rb"></script>
For method(:func): <br/>
<script src="https://gist.github.com/3897667.js?file=method2.rb"></script>
Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-73400428776325895212012-09-06T09:07:00.001+08:002012-09-06T09:07:12.748+08:00Breaking ARC Retain Cycle in Objective-C Blocks<div class="entry-content">
In a recent client project, we noticed its iOS app often <b>received low memory
warnings</b>. The iOS app is developed with ARC-enabled (Automatic Reference Counting).<br />
When profiling the app using <b>Instruments > Allocations</b>, we found that
a lot of unused ViewController objects were not being released from memory.<br />
<br />
<h2>
Retain Cycle</h2>
The codebase uses a lot of <b>Objective-C blocks</b> as shown below, and
<code>self</code> is often being called within the blocks:<br />
<br />
<br />
<br />
<br />
<figure class="code"><figcaption></figcaption><div class="highlight">
<table><tbody>
<tr><td class="gutter"><pre class="line-numbers"><span class="line-number">1</span>
<span class="line-number">2</span>
<span class="line-number">3</span>
<span class="line-number">4</span>
<span class="line-number">5</span>
<span class="line-number">6</span>
<span class="line-number">7</span>
<span class="line-number">8</span>
<span class="line-number">9</span>
<span class="line-number">10</span>
<span class="line-number">11</span>
<span class="line-number">12</span>
<span class="line-number">13</span>
<span class="line-number">14</span>
<span class="line-number">15</span>
<span class="line-number">16</span>
<span class="line-number">17</span>
</pre>
</td><td class="code"><pre><code class="objective-c"><span class="line"><span class="k">@interface</span> <span class="nc">DetailPageViewController</span> : <span class="nc">UIViewController</span>
</span><span class="line"><span class="k">@property</span><span class="p">(</span><span class="n">nonatomic</span><span class="p">,</span> <span class="n">strong</span><span class="p">)</span> <span class="n">UIButton</span> <span class="o">*</span><span class="n">backButton</span><span class="p">;</span>
</span><span class="line"><span class="p">...</span>
</span><span class="line"><span class="k">@end</span>
</span><span class="line">
</span><span class="line"><span class="err">@</span><span class="n">implementation</span> <span class="n">DetailPageViewController</span>
</span><span class="line"><span class="k">@synthesize</span> <span class="n">backButton</span><span class="p">;</span>
</span><span class="line">
</span><span class="line"><span class="k">-</span> <span class="p">(</span><span class="kt">void</span><span class="p">)</span><span class="nf">loadView</span> <span class="p">{</span>
</span><span class="line"> <span class="p">...</span>
</span><span class="line"> <span class="p">[</span><span class="n">self</span><span class="p">.</span><span class="n">doneButton</span> <span class="nl">onTouch:</span><span class="o">^</span><span class="p">(</span><span class="kt">id</span> <span class="n">sender</span><span class="p">)</span> <span class="p">{</span>
</span><span class="line"> <span class="p">[</span><span class="n">self</span> <span class="n">doSomething</span><span class="p">];</span>
</span><span class="line"> <span class="n">self</span><span class="p">.</span><span class="n">isDone</span> <span class="o">=</span> <span class="n">YES</span><span class="p">;</span>
</span><span class="line"> <span class="p">}];</span>
</span><span class="line"><span class="p">}</span>
</span><span class="line"><span class="p">...</span>
</span><span class="line"><span class="k">@end</span>
</span></code></pre>
</td></tr>
</tbody></table>
</div>
</figure>
<br />
In this example code, the controller object holds a <b>strong reference to a
<code>doneButton</code> object</b>. But because the <code>doneButton onTouch:</code> block is referencing
<code>self</code>, now the button object <b>holds a strong reference back to the controller
object</b>.<br />
When object A points strongly to object B, and B points strongly to A, a
<a href="http://cocoawithlove.com/2009/07/rules-to-avoid-retain-cycles.html"><b>retain cycle</b></a> is created,
and both objects cannot be released from memory.<br />
<br />
<h2>
Use Lifetime Qualifiers</h2>
<a href="http://developer.apple.com/library/mac/#releasenotes/ObjectiveC/RN-TransitioningToARC/Introduction/Introduction.html#//apple_ref/doc/uid/TP40011226-CH1-SW9">Apple Developer’s guide on ARC transition</a> suggested a few ways to <b>break the retain cycle using different lifetime
qualifiers</b>. It is definitely a <b>must read</b> for iOS development.<br />
If your app is targeted for iOS 5, you can use the <code>__weak</code> lifetime qualifier to break the cycle:<br />
<br />
<br />
<br />
<br />
<figure class="code"><figcaption></figcaption><div class="highlight">
<table><tbody>
<tr><td class="gutter"><pre class="line-numbers"><span class="line-number">1</span>
<span class="line-number">2</span>
<span class="line-number">3</span>
<span class="line-number">4</span>
<span class="line-number">5</span>
<span class="line-number">6</span>
<span class="line-number">7</span>
<span class="line-number">8</span>
<span class="line-number">9</span>
<span class="line-number">10</span>
</pre>
</td><td class="code"><pre><code class="objective-c"><span class="line"><span class="k">@interface</span> <span class="nc">DetailPageViewController</span> : <span class="nc">UIViewController</span>
</span><span class="line"><span class="k">-</span> <span class="p">(</span><span class="kt">void</span><span class="p">)</span><span class="nf">loadView</span> <span class="p">{</span>
</span><span class="line"> <span class="p">...</span>
</span><span class="line"> <span class="n">__weak</span> <span class="n">DetailPageViewController</span> *<span class="n">controller</span> <span class="o">=</span> <span class="n">self</span><span class="p">;</span>
</span><span class="line"> <span class="p">[</span><span class="n">self</span><span class="p">.</span><span class="n">doneButton</span> <span class="nl">onTouch:</span><span class="o">^</span><span class="p">(</span><span class="kt">id</span> <span class="n">sender</span><span class="p">)</span> <span class="p">{</span>
</span><span class="line"> <span class="p">[</span><span class="n">controller</span> <span class="n">doSomething</span><span class="p">];</span>
</span><span class="line"> <span class="n">controller</span><span class="p">.</span><span class="n">isDone</span> <span class="o">=</span> <span class="n">YES</span><span class="p">;</span>
</span><span class="line"> <span class="p">}];</span>
</span><span class="line"><span class="p">}</span>
</span><span class="line"><span class="k">@end</span>
</span></code></pre>
</td></tr>
</tbody></table>
</div>
</figure>
<br />
Because we are using the <code>__weak</code> qualifier here, the <code>doneButton onTouch:</code> block
only has <b>a weak reference to the controller object</b>. Now, the controller
object will be released from memory when its reference count drops to 0.</div>
Anonymousnoreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-18024787315792361402012-06-13T15:14:00.000+08:002012-06-13T15:14:10.582+08:00Message Queue Implementations Reviewed<h2>
</h2>
<h2>
Message Queue Implementations Reviewed</h2>
After Googling around a while, I decided to look at the following message queues. This list was selected based on factors such as support, community size/activity, and feature set. It is by no means an exhaustive list.<br />
<div>
<ul>
<li><a href="https://github.com/defunkt/resque">Resque</a> </li>
<li><a href="http://www.rabbitmq.com/">RabbitMQ</a> </li>
<li><a href="http://activemq.apache.org/">ActiveMQ</a> </li>
<li><a href="http://www.zeromq.org/">ZeroMQ</a> </li>
<li><a href="https://github.com/starling/starling">Starling</a> </li>
<li><a href="https://github.com/collectiveidea/delayed_job">DelayedJob</a></li>
</ul>
<h3>
Terms and Definitions</h3>
Most of the message queue implementations above make use of the following terminology.</div>
<div>
<br /></div>
<div>
<h4>
Jobs</h4>
Tasks that are queued for processing. For example, if you want to send an email you would enqueue the email for future processing by a worker. This is a job. It has all the information needed by the worker to process it. In this case, we're talking about things such as recipient address, subject, body, etc.<br />
<div>
<br /></div>
<h4>
Workers</h4>
Modules of code that handle the processing of jobs. A worker will fetch jobs from a queue and process them. In the email example above, a worker would grab the job from the queue and process it by sending off the email.<br />
<br />
<h3>
Delayed::Job</h3>
<ul>
<li><a href="https://github.com/collectiveidea/delayed_job">https://github.com/collectiveidea/delayed_job</a></li>
<li>This is a quite simple solution that will address the needs of 80% of developers out there </li>
<li>Delayed::Job was initially extracted from the Shopify.com codebase and was used by Github before they moved on to Resque </li>
<li>Delayed::Job stores its jobs in a table in your database</li>
<li>You can write jobs by extending a class provided by delayed_job</li>
<li>I find it to be a good solution if you need something very simple</li>
<li>Delayed::Job polls your database periodically for new jobs which is is not ideal but should not be an issue for most use cases</li>
<li>You can prioritise jobs and set the number of maximum retries per job. </li>
</ul>
<ul style="font-size: medium; margin-bottom: 0pt; margin-top: 0pt;">
</ul>
<h3>
Starling</h3>
<ul>
<li><a href="https://github.com/starling/starling">https://github.com/starling/starling</a></li>
<li>Starling was extracted out of the early Twitter codebase </li>
<li>Uses the memcached protocol</li>
<li>Jobs persisted to filesystem, so no database dependency</li>
<li>Lightweight</li>
<li>You need to write your own workers to perform polling and job execution </li>
<li>Polling means that Starling will be a bit slower than other queues such as RabbitMQ </li>
<li>Last update 1 year ago</li>
</ul>
<ul style="font-size: medium; margin-bottom: 0pt; margin-top: 0pt;">
</ul>
<h3>
ActiveMQ</h3>
<ul>
<li><a href="http://activemq.apache.org/">http://activemq.apache.org/</a></li>
<li>Mature, stable product that has been used by a lot of folks for some time</li>
<li>A top-level Apache project </li>
<li>Can use the STOMP gem if you want to implement your own thing</li>
<li>Or use ActiveMessaging from ThoughtWorks </li>
<li>Evented</li>
<li>Comes with a basic monitoring interface</li>
</ul>
<ul style="font-size: medium; margin-bottom: 0pt; margin-top: 0pt;">
</ul>
<h3>
RabbitMQ</h3>
<ul>
<li><a href="http://www.rabbitmq.com/">http://www.rabbitmq.com/</a></li>
<li>Uses AMQP (advanced message queueing protocol) </li>
<li>Written in Erlang </li>
<li>Mature and one of the more well known message queues around </li>
<li>Has lots of features, including file streaming </li>
<li>Tons of clients/libraries for most of the major languages: <a href="http://www.rabbitmq.com/devtools.html">http://www.rabbitmq.com/devtools.html</a> </li>
<li>Fast </li>
<li>Evented</li>
</ul>
<ul style="font-size: medium; margin-bottom: 0pt; margin-top: 0pt;">
</ul>
<h3>
ZeroMQ</h3>
<ul>
<li><a href="http://www.zeromq.org/">http://www.zeromq.org/</a></li>
<li>Minimal, lightweight messaging framework </li>
<li>No central server </li>
<li>Ultra fast</li>
<li>Focused religiously on transporting messages between n points and nothing else </li>
<li>Quite different from other MQs to the point where it's questionable as to whether ZeroMQ is a message queue or not :) </li>
<li>If used to solve the email example mentioned above, the programmer will most likely have to handle the serialization/deserialization of the email, implementing of a daemon that runs in the background to receive email jobs, process them, handle retry logic, etc. </li>
<li>Basically if you use ZeroMQ, you will have to reinvent some things that are provided out of the box in some of the solutions mentioned above </li>
<li>ZeroMQ is not meant to be RabbitMQ, Resque, etc. </li>
<li>It does one job and it does it perfectly </li>
</ul>
<h3>
Resque</h3>
<ul>
<li><a href="https://github.com/defunkt/resque">https://github.com/defunkt/resque</a></li>
<li>Developed by Github for their internal use </li>
<li>Uses Redis internally and Redis is super fast </li>
<li>Feature rich </li>
<li>Persists jobs to redis as json </li>
<li>Comes with a rich Sinatra app that provides insight into what's happening with any queue</li>
<li>Not evented </li>
<li>Popular within the Ruby community </li>
<li>Well supported, stable, and well tested </li>
</ul>
<h3>
</h3>
<h3>
Conclusion</h3>
After going through the material I found online about the message queues listed above, I would use Delayed::Job for anything trivial, mainly because I have experience using it and it just works for most day-to-day tasks I've come across.</div>
<div>
<br />
For use cases with high load and a need for stability, I would feel more comfortable going with Resque. It seems to be fairly straightforward to use and is quite popular so it enjoys good support from the community. Github uses it! And to seal the deal it seems to have the best management interface for monitoring queue internals. This is especially relevant since many message queue servers don't provide a query DSL, as databases typically do. </div>
<div>
<br />
For instances where high performance and throughput are paramount, I would explore ZeroMQ. It almost certainly requires more work to get up and running (e.g. you'll need to implement most things needed for handling a message queue), but it offers great flexibility and speed. </div>
<div>
<br />
If supporting multiple languages is a concern, RabbitMQ, ActiveMQ, and ZeroMQ get the nod due to their library availability for most popular languages and platforms.<br />
<br /></div>Yasith Fernandohttp://www.blogger.com/profile/02948424982453708273noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-76783509072456996912012-01-19T09:44:00.000+08:002012-02-03T12:01:25.769+08:001st Singapore Clojure Meetup<br />
<br />
Very interesting meetup last here at the Favorite Medium Singapore office. So much was discussed and I can say everyone left the meetup the wiser (in terms of Clojure knowledge). Here are some pictures from the meetup last night. If you are hacking Clojure in Singapore, you should definitely join our next meetup. Find out more about <a href="http://www.linkedin.com/groups?gid=3877912&trk=myg_ugrp_ovr">Clojure Singapore here</a>.<br />
<br />
<img alt="" height="300" 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f7tS2FzZ1BzJYoemG5+hrzbVU2axIVI5UEAdfpXeyyFrR8gtgZ65ridaUf2hE5yMrwQetXFIxqIxf+WIwFB9zTDjk7ST6ntUgOS2QGJ6dqRgxPQlcZArS5mV3GWPcY//AFc1E4OGAOAeKmfqAR29c5NRNuDk5CkrjINNSJKrKj5+bkcLjpUDjK4UY9atSAcqByR1HSq7nBb5cqBgZPWkncRScKGGDuwM57Cq7gN3wf6VbbJbIAC9KrsFAKk8fSiaEyi0alwQASTyemMVWdcscgAdevNXJQSCCecccVVYsCQMEA/WqT0IKbIHiZCOWBGD7ivws+Idq2nfF7xLYk4aHWLtcY4H75mH6EcV+7DKNyFicg5Privxb+P1gLD9qjxzDtKg6uzhfUPGjZ/PNell8rSZxYvVHiWRkglfwNaWmE/aGG47j0Gazmb7pGSD0yOfwq1prj7flgh9K9Z3Wp5y0N/Jw20bdx+fnqfrSNHuf/aPO30pWlO0kscc4yO9RnflVxvJHcVLYOWo1uvysrDvikIwS3JXgnjPPtSDO4ouQeckfrxSbnJ+XaoxjJoTaYcxCSRG7Y+UrwT3NSRNiW0Cr8vzDLCmswaMj5t20gkjg+9MjYmC2IyT5nGT04prczbNC8wdPIHGCCAP1rMB4BbBUD1wce9aNxltOlHDbSMY7c1nOuWOSCe30pzNFqdN4XYDxAcsCxQnAr0qPaIt6lVUnjHHNeWeHiRr8YUclTtyOvrXpcEaF9pB+Xgde9dOHehyVtzRQseAnCjKkdqdtPlYlB3YySBzVR7YMzMjP0y53kjFMkFqIyv78EMCOWrrSMr3LTSxMqhzKUI7IeK8Y1MLFqmpAFlXzjtyPevXA5McaRNtXPBYt/OvKdbTy/EOqByVO7LAZwKxruyNqe56d8B3K/ETWI+MvphOPXD/AP16/ab4OuZP2cfC8gOdtqR+TEV+IvwRkVPjO8eHHmafMo9zwea/ar4GzmX9nPRo+pieVMZ9GNeBj/iPWw7XKeu43KQOvsahdQQQBn3qxtJXJ4IHFRlWyWzjscV56ep0uxSePOQRwBxiqkqA8lTkHpWiwGcgEkk5zVR1+XqOvAP+NaNkMzJF+bpkep7e1Z8qfvGznpwF9fWtZ8FcYPrWfKrbeBjnjPSqg+hmYVwh8sn5Rgchuc4rCuRumDAfw9RXT3CDySSc4OMGueul2gkZzjn1omyovUbD91TjAz1q7PGGslIUljnqarRK3y8qRjk+tXJIw2m98A+uaKauy5uyOYZf9OXaueQTzyKvKv3do4x6VBICLlSxwQRV4LucHIXnj3pu9yYvQmjQLtI5z3PQ1vaWUh1+ynYsiR3CO20Z4DAmshVycbjj9K1LBduow9sSAqM9eaSWpMkkj6dsotM8b+LDCl3JNFbESsyjYCvT5s8LzwAOSa8z8fa3ovhXV7q0SzWO9UbFtbdid3HBdj7+ldJL4i0vS/A8WmaPC32q4u1mvbtgVaRwh+76KM4FeDz2Z1nx+xupchEB3u+Mn3+lcGY4V1KV3sefgaajUuS6NJPd6+/iG6sbZxbQiK0jbiONmYDds7kA5r7A+HOg3/2p710ea22/upZRglu+FHAGOn1rzn4deBYtankSRUFjGuFIXmTnr/8AXr62s4ILCxitoVSOJFAUCuzK8JGmue2o8ZiOb3USW0MqoGk49BnoKo6tZ3up232GBhb27EedITzt9BWssjMWA7Yqbcq8bgAOpNe0nqcGljMs9IsbGBV8tHYD7zCrbHfARbBAAODjANcFq/iGW71G4trAl9uETb6k4rvLWKSO1gRiFCRgMOvNbTi1ZsTR594JjnHjDxHJcg+Z9sI5+ldxqk0cWn3gF15EoiBYouXUHPI9/SuZ8JKzeJfETlgw+3P0H0ruphGIWZ/LAGMs4GK58QnKLSNqWjObbCWlu8ms6okU0SLGBH82cdSccE+9ZCTQT3QjGoeLJH35J8kqAB2zjABrp5GupZbuKDUbeAoAV2xbjH9QaXR5fO0wt/ajap85Hm+X5ePbFRRneHoE46lGy1WLZHaRWOuSkPsaSaDke7Me1dHt4p23FBPPHWtGyVErXAHkHvzXwD+zmv2//grN+1fqu3IgGnWQbHTCM+P/AB6vv26OIevf86+BP2PQ15+1/wDtf6w2W8zxxBboxPGEtU4/Mmuin8DOaovfPv23B8s7vNHzH755pJrZJJVdmkG3sGwKkgB8v7pT2LZonVTEd/K+mcZrC7udHKuXUwNUiuFwLbTZNR3NuJFyIgM9eagW2uWHzaQihmG7dd/drYb7RubFtbNjGwGXGRSXP2rzYhFHarFgmQyMf0xWiZyzox3MeB4IjJJqEWl2oU/KRcbiTVkPpsccl0H0yOMNteXcMDPbPqazlXREvpJr8eH/ADS2VMXL/U1fln0ePRhI0mmizeTCFowULf40zJQS2RWgOmASz2zaYFjwQ0SLlMnrkCrcF/oNxcgW8tjNKSQNiAnjk9qRL3TP7LeaGWxWMYDFYuM9u1Pt9Q0yQFLSaBnKFsxwnAx1J4ptjjGwsus6ZEjO0xCqcFhEx/pU9pqVrfWhltvNeMdzEUz+BqmNWtVgMrTztGDj5bVsZA+lIl9HPYNfW637xqAfLMZVj9AeaFqTKTRoCRBwkMqjdyAmBVhgCBj171njUS0DyGyvERVz93nPpioItWmm1HyP7L1BFAJMjoAOPT1paheJs7RzxmoWAb/61YUmsagJ1ji0G/mUsBv3KoHvzWxbvJJBuki8l+67sjP1oSIm0+gFOhzn60wjkY25qViTkbSMVGfvHP8A+o1dzlkrEBJBPzfpVVh+9Jx34z3q0cFh7+tREcOO/XGamSOKpuU7j/j1kY5z7cVy98cRyAnC+XXR3jMLVhnGMVzGrSeXYXTg9Izn8qmO4U1qflh8db0Xnx/1cA7/ACiEwT7V4e/IdWHXkYNd98QbyS/+L2tzt1a6ccHqATXAzMu9CCcA8ECvjMbO9eT8z9Wy6HJhqa8kU3BV8HCgHk1A2EBbA98D/PNWz8oBJU9SuaquM8DgA5yT/nNcdrnY0tyJvudM5P0NV2XeMDJODk4q0wYR4b8CagIYAknv0PpRcaRUchVDLjAGfw6VWKgx5HLdA3oKs4+YfNx/CAeKhf8A1TEsCT3FPmIcdSs4TDEgkjnnr/8Aqqk6jBGRt6D3q66Elcg7c5yf89KpTAtEdoHJJ3AdKWshN2PvOEkKzfwdMA1qRMzAqXA78isSFh3+UntnrWjG4ZAAxzx1PSvS2NepuRSoAg6YIGcVrRyhSc/d6A1z8cik+h559DWlHKzAgEk+vekxrQ34JlBxkYHA9K04ZSYuVA44/wA+lc8k5yCGweMHFaUMh45JHpQCZ0MU2MHcQPboa0o7gblYt9B0rnElzkgjB5B7fWrMc+No+6vYHmp5RnWRyl4iu8Lxz71z2s82kUjYyGIyRVuC4wSNw5brVfUsvpUjH58HKgHmqgjOoznchtxPGOCDTWOeSMnikyBgHHPQf0pMHGD97tWlzBtiMD67fpUB2tw2RgZxUrZyem0dMVA6qd2QTmle4mMIOOm1euR0qFlBQnp+GKm/iPAJA5HYVHKD5SgNknsaURXsUnGdx28jqexqtgF2XgD3BwasswLkMGX0GKicYzgZJHGKu5L1ZTdcdSc7ufSqrqBkADKnn6Vebf8AN8w6ZNVmQbifmz3NNMTKTAiE8cnnOeDX5E/tbWQtP2ufEDqCoube1uASOCSrqf8A0EV+vci4D4DEYxn1+tflv+2nYND+0Pp9yUA+1aFHn/tnJjH/AI/XdgZr2tjjxi9w+KmOMKS6gn86daMf7RUgKA2RUTqGyTI4AHBI7063YC9U5AJ4A7V7dzykdYFO0JwxwCRjjmmFl28byy9Mn0pRny1H3iOfQfiaYGAlCghWzz7is2N7iM4Mu8btoHOOefWmZyuMjtz6mlY8fM44OCMUzBcElWGeCp6cd6aVtQTFXlgw3DsfQGoYyTBz8m2QcAcH2qUD51zkrkYHc1Au4rNnkiTcF+h6076idrmpJzYznBChfTpWZlwwJ+QE4xitQM7QXBGFynAx0P8AjWQGKkAlvX1yaJPqCkbGiSFfEduqOPmJA9a9XiwVXcMsRzmvH9KLL4hs8bR+87np7V6vHKGUY2rjByTkf/Wrqw21znrJlstMs48to9mQeRz+NLunZmAaJz65IJpElRj5jbQVO3GastIq2+XPbgjr9a7G7HNF2epW3MXRZGTYGIYiQgk+nTmvL/EWE8S6iGJOSNw3Z7V6fvgCARzTFh0yeprzPxUAvi65ZJMq0KsWYjrjGKxrK8TenPU3fhFL5Px200K7EuJVb8U/+tX7VfACbf8AAKFdx/d38q49MnNfiL8L5jF8dvDuD8puCCB/tI1ftT+zywPwd1FP7mpuMY9VB4rwMcethpaH0H36EZ7joaY33lyMADj60cnbzj1FJlsnA+XHIxXmx0OkgIG8gkg+uKqSdc9RkjB9auHPl56kCqb4yRxkD05NaJ3IkVnUtESTx061nzIdxG7dkdT2rSkwQAB8v+c1nyqxcuTgZ5xVJEtmVKpCkH5sn9awLgfvHLLn5cE46V0kqErz+IrCuxtPGen3ic/hSkVHUqxZxlsBfStEgfZDnk54446elZ8KqoDEfU1pjLW57c9D649aqL1CWqOdlXN6uA3X0q0vMuQMAdKhcY1Jc4B3VbGBIVBOc4wB6029Qi7osRgHaVHFaVuMTpg9ME5FUFVQeNpH861bKLztTt4gxUySKuSemTSXxEyeh0Vq0s13DEWJCFtv4jrVPTtC+3+P7Uvu2rNuAAxuI7n2rtbbQLq316CJozJAQxSUdGGDXb+FPDyt40WeePEUYJf3GeBX0kcEpYVzZ5KxS57I978G6VHo/hWAOEW5ljEjkdge1dHLOXugn8BHGO1cbJqyvem2ikC7VGMHniujt9wwxYF/LABz3rjhTsjCbuzcjfapJxvzk+4rE8RapHZ+FpZWcoZAQSD0UdaZc3hDmNG+dxgfT1ry34g6swtbeCKXEJzG/oBnk/j0rppUbyEkX/DsSy+ILF4wRLcHznyc/T8BXuSjbHyeg5JryjwVZONYknmOdsaKnOdq7eleiaxefYvDl1OThlQ4xTxGskhpnK+BJUuJtdnQ7le/l5A44avQmVWQqwDA9iMivJ/hC7S/D66mc/vHvpSef9qvWa5J7m8UZt0rwxPJbfZIZWIBd+M/WqDJqs9xOLTVbCJEkIKpbbypx0PPWrOrAm3hCiAZlAJkAPf+tUS+rQXbCJvD0MJkO7LMGLHpnHeuenFqbfQUpX0OkQMIUDtvcABmxjJ9aXHNZUCa0JY/tMunMnmZfykYEr6c961u9bBYz75gtqWOcgEj8q+Ff2HIRPJ+0freATqHxPvPm9fLRE6/hX3deRxvaS+bu2BCW2nBxjmvj79iu38Mf8KE+ImpeDb3W9R8P3/xG1iS3n1mFI7lnWcpKrKgC7VlWRVI6oqkkkkneL9xnO4++fY9ugS2UBFT2U5FNuDCqAzNGATxvbAJp+/Yigj/AL5HAqo9xbSfeMT4/vDNZRWpc52iQeexdh5unM+RtBc5xTLl52vmKTWqRRIS4eMs31+lSRy24XLfZ3fruWPFONxboGb5QTyflPNaM5+ZtasybJ7CQSTTDTZG5PmRW20KPcmrK6hp0srQRywsYwWKmE4XHU9MVY+2RBlVIt0TZ3Mq8A+hFTC7h7Kc4HRKLMnmj3MxdXsRMLdDLJKWOFjtjg/0/GtaNfMtkaNjHuGfuAVF9tjC5CuO3CVGb4BM4cDtiPpQ02L2kFuy7HG6xnfMXY9CFAxSeSdykyOw9PWoYbvzI92dv+8MGpDcKOfMTkVNmXz02hiQeXIW3OfmzgtU/WTuR9agM43ffUe1RtcIGHzqvrVWZk6kFsWj71E3XI4Heqoukb/louc8VC10mGxL+lUoswniIsuHrjv3GaYSDldv0xVFrpCSxlJTsQKrC7hyf3p6ccGqSOSdZF9h6EcHrUOVZMnsec96z3vo1RcPLz6KTmqz3sRhQZmOT2U0M5ZO70JNQlENsJCHYbuQq7j+Arg/GF39l+HuqXuMJHAzsD1xg10qXSxwv5s0sx3E5MZBA9K8o+MGrLa/ATxDPGXUC1IO4Y5PFRflTZpQV5JH5U67ci68X31xynmzM23PqawWx5rDIwB0x3q7dOHlJJDbm6VnODvYFsHPOa+CqSvJs/WqatFIgfDP/eXutQSYZsHk7vlPYVYc/MxQcqPlA71XyNqAevIqFF2NnsRsV8o9wOue1V2w0JAJ47gVI2NzpnbxzkZFRfKpHA/4D3pKKQknuV3OxwNvAHJxUTeV5YDYAI6EU9zmUMwHU4I7VBN/rdgGC3FXGIJkMmSMEE885qrJ81wVUqCRyKsyks2FPI4I9v8ACq8iHO4Zfn8qbfYjW59xxtnnAz2OelXUc7OuT61kx/NnA2gkYGelXkbKhTxjkt2Neh1OhtJmrGTtONxBGR/9etFH+VWztwPujse9Y6SgheCSOCexFXEkZipDK49jxSlchm3GzAgk7hnjHc1oRyN5oCKSfcf0rEjl69iDyCf1NaEMoJRgSTg5zS6aiRvRuoXap6jgg/nVkSHB+btj/wDVWIkgDZALDHGK0YpSFGTnHX1oFzGtE+1l56H860pwJdNkxtK7ew61hCZVwxQsM9B3rWim3wc5GVwB2NNJ3IlqYG8eZ+OTgdvekZshsjj0B/nUeSjtwCQ2CM9OaQnDMQAyc8+9U4mTQhcHaVAPOOPWmDq3J3fxUF1Jwc7ccHNRvIuQApA6An096aRLYkjLknJUenrVc4OMEYxyM085Kgj5VOeKgIDAn5h3x60tAGs3XAO7rz6VA4JAHA9weKlbcWzgAD5eucVBI2H+UEY689R60r3JWpEzAncuWA7HmqrsQgAwSemKsZLPk4UEYz61XbIJRiRjjJq42JZEcFTkjPqfWvzq/bi07GteBtVTA8y0ubUkjqRtfH/jtfooTtLdAxGeOa+KP21dOF18GfCV/t5tdYZW9AHjdf5mujCu1VGGIV4M/LRjlAOMEdT2+lMiyl0m5y2Dk44x6UpJMQO/5cYJJ71GSR5bgY6dq+gR4skzrVctAgKE5xxnqKdjaQTuJzjGOfpUUD5tQyjIyOtTbhguWwCfujtUt6jiyJio/jxg54700sSpAIO4ckH9KcVJb5Ru5puMl1O5gDyAMZpoHqICSxAzwePSqpD77kjAAyT6+tWC6tFlW2k98dMVBbzW82rsLgyPbMSr+Xw3Ttn3x+GaFuQa0H72EkOfnXqT14rGUYGT69j0rd04pNqlpbs+8M20qnXHesy7h+zavcQ9MN8vcEdqJLQpJISzkT+1LZm7SDqa9ThnZE5iwoAyQRj6mvJ4WRbpWO/CuCDXrsECSWybx/rF+Yj0966cKzGsycyGX7olTeP4FBpUYqmGeUgdVaPt69KspZIEAV5NinIB6mrvlvhuPmHCg9QMcmu3mu7HG5oz/PQR7jKqj3jxu/GvPPE4B8SMQ0bq1sCNgx616qsb7+G3IO7Dg15z4xRh4jtH2qHNtjd+NY14vlOikzK8BTNB8a/DcnI/0+MEE45ORiv2q/Z0kB+H2vxnjbqWSCfVRX4jeFpPL+KegynI2ajCTz234r9p/wBnaXGl+KohuVRcxn8CDXh43Y9TCvRn04DznODjjJoHzAYLHPU+lMBwOuOOlGWAIBwMfXNeZZnYnYa5O/GcehA6+9QSDai4P1z6VIz9Duxg+lV5ScEjBweQatENkEhAAONrDjpVR8jbyOasyEgN6dxVZiC2cMcHvV6EmfOpKMAufxwPrWBdljG3K8jnnmuguCCjDP5Vz9z8r8HOR8uamSGitAP3uQ4J2/rWmuDZNtzkNWZE5wpyob1I9K0ox/oTAYGG69etOO43sYcwBuVPq3UmrWD5nzEjBqC4VheLzjnoPWrZ+/yADjkCnLRijsTxqQF6jJ4/rW/oyB/EthEzGNTcJk+nPWsJP4WYYUjiu08FRed8W/DaDktqMQ9sZpw1kRVl7rPpnR9GuLua2kjtFe1QkKVO7Ix3PrWhd6be6bfJGkDQM8jSOx6H2HrXtNrFHCrJHDHCpJOEAA6/zryjxvqES65H5tw3loHACtjBB5ya96tjZqh7OK0PmaFC0ua5zOlQXFtqE1xOTMzOBkcgZOfzr0gTLHOvmPiNUycdSa800DUGvNT2+aPsxIYB/X0+ta2v6n9j01yxAeQ/KpPaooRk7XOqW5tvewlLq7jZuW2Jk9PevG9avBqGsrBnMH2hVAz1wSa6HxBqBs/C1napIBO0PmS/U9M1xccZPi2wsiNz+cpcDtkA16dGPKXHY+mfCyIISQo3sATx2AAGK474keKVs9JurWN+igDHc5FdVo9xHZeH7y+Y4jRCRnpgCvlXxpq02oXRYl23nftJ4GdzVkop1HJmCd5H0j8FmMvwYtp2AzLNI/5ua9cryr4MxeV8AtGBGCyE/mxr1WvNm/eZ2oyNSVmmswqRNmYAl2x+A96pXkEiXhFppmk3Cn94DJNtdnBznp29avXy7r+z/ciT5+pbH5e/estbEC4Mo8NQpIcjd9pXOCf61hDdkdWbNnLqMsytdQ2scRiBzFKX+bP06YrRrOsjcqFhexWzgSIbQJQ2Dnpx2xWjWhUTJ1yXyPCOqzngR2Ur9fRCa+Nf2Co5Lf8A4Jx6VepZNi/13VdQTY4XzzLeyvkDtnPfqea+svH90tj8EPGF6xwINEunP4RMa+Zv2HdHu4/+CT3wNlkvry0lu/Dcd1LGigYaUlz1BPeumH8FvzX6nNNNzR9WC8uWnCnSrsIermRePwzT5zcKkxgtRKyqPKDNgMfr2qE6PdFgTrmqY9BsGf0qxJpjvcCRb/UIjsCkJIMHHfkdaxuOVNspNc6mB8miqfk/iulGD6dKnV7traVpbJInC/u1Eu7cffjimSaFHNapFNf6pIEfcrG4w30OByKe+ixNDFGt5qUKRrhRHcFTj3Peq5kZyoshkOpxKghtrOddmWLylCG/LpViE3LQSGa2hjmH3AkhKn6nFMfRY2iRDe6gQsgfLTZz7H2p8uj2swUStcsVk3qRKRg0Joz9jK+xDM2pLchLe3sZoSoyZJCpB78AHNNZbw2P7wQxT7+PK5G33z3qWTRLeSRnM94rE5ysxBHaiLRreJ2Pm3chYc+ZMX/nTUkROjJlaZNV/efY209kJG1ZUbK+oOOtQRrrSXStd/2T9n3fN5aMGx2wT3qzL4e09lcj7VEznLvHcMCfrzTk0LTY2Y+VJKWGD5kzNkfiaamrkOhKxRtrTU49Su5Zbq3eKQ/6Ou4nAz6dj9KdLFrpLbb3SUA6FoG4/Woho2lxJdqlldbU+YjzXw/fjmsO+GmL4Wg1G40XUTHO+2WBnfzE56kA/wCRVuVzDk5VY67aJBE8k0DqFG4qRgt6in8BSpCsD3BHNYb6FoccH2lbEqSo+7I+R+GetUb6z0e2XYNPed1w/Mj8e55p3MJHQyTRIjs23aoOckDFVZby1hgWR5IVjH8RdQK81uAYg17BaWWJJNkjeWxODyf4qvaNa+fdBLzT7I2U8ZdwiFSSOmTk9a0cGcrOzn1WxjkMDzwRzlMhGkAYg81nvrVhGVjae3EhOFRpACx6/jVOWxtbqKe7l0SIzRKPKZpCzt+R4FQtp1jfvBcXmjW0kgON+MGMdjg96zdw921ynearoRJllvLWF2PlGXzsYb+79a+df2hdTsrf9nC9SyuEmW4uQhZXBU+or6GOnWclvIsmj2M0ZVnWPcCX54BJ6E18iftUzW9j8ONE022t0s0luTI0KkEKce1cmJqctKT7I9HLaaqYmnHu0fCMhUJudgeeQKqMfmOBhfU80922rn5h34FVWJ3AliT0GO5r4m9z9RjpuROdivuPzEcc1EEBccghudw/lUoySylF3D1NRHeAdpUcZP8An1rNyKcSMsoVtuT83IqB3VhuJVemCeP0pGLls8dent61G330BY/e6habJk3YGAMhAwVPUGqT8yjYC38WRVuTasjEBmOcZ9ahzudtrAduO1VGelmJMgI4DbjknK/WoHyz5JwMckjn2zVhtwByCVHTnrVVhuYCMjdjg+1Ukg5j7PRx8rE5z+lXUcYBOMgcNzWUjEqiP06jnirccy7nDZfJ6KK9DYvmRqRsoZctsbnI9ParyygMDkHPX0HvWSGIydxPPAI61LHIgTkHdn6UlqS3ZG7G53FmIxjOauxyH5ccnrxWLHKcc8AfkKuJKeTht2cYB6ilZiTN2KdREGLEjoKvx3IDKuNxx34rmkldY14zlsVaSf5T82cdm7GpJbsdMtwpYksApatmylBttvQqxxxxXFRT/OvIbjoR1rodNmDCQbsZxwKpE3I7jCX0uAF+YkYqAt+7JHJx0HapL0j+0iApYMOeKrHdycnA6mrMyRt2MZHTjHaoyw4zyPrTQBuAweOBmo8/Jt+YHPy5HWncmW49jkHk4Gaj4Zcj7o+Xk0m7D8jJ/SoWfeACencHvUtBzBIB0DgY64PFQMSXO4nGOtK20HjIbqajOGjAPrzzzQJO4xsAnf8ALxVd+nsfWpGP8JBxmomO5QQSQBnFCRJC4YSr2I6+lfL37W9l9s/ZAvbgAs1nqdrPn28wA19RMu0ZwzAg9P5mvDP2i7F7/wDYs8fwhWMkenGZPqh3Dj8K3oyXtEzOqrxZ+J0qtHdyIcDDEEkdTmoJGbcADwOmat3rH+0rjryxYEjseaosSAfmXPY+lfSJHgtnVWkhewRmAz2xxU24gHj5sc4FUrBlNiAeehzVsrhi4QsAcYBxWaWo0AKtIvBUdTzxinAhkyueOT2qNyxIIDHA6dh6U1SBCVY8k9u1U0wvqMkbahYFgNn1xWfaRbfLbzH3ONxyckGtB8eQ2GcK2QCAM9KoQ5RLTJ2PyOnv3ptkN6mnLM0tssnyxMWG5ohjBzjirF7GX0mOd5JJJBO0bFmz8oGRVGMEWbA5Zw54HsauTSBdLuIchWFwHUEeq803ZIG9TOQgElTgZ4969msX/wCJdGSBtMYyRznivF/vLtXGPevXtJdZNFtJEOSY1BHbpW2GsmZYhe6jpPMzbnaT9M96kx8hfIYE5wOoqCPAKFs7uuCKlVsR/wB5v74FdvocErXJkK+UF/iHp3rzvxyF/tHS2KjmJxk9zkV6Im0jnDHP4k1wHjsKE0yRW3EOw5HrzUVfhOmnPVHBaRO0PjjS3zgrewsCRnpIuK/aT9nmXbq/itM5LiF9vp1r8ToHEWuQysSfLnRiVHTDg8V+zv7O9wP+Es1tVBPm6fE4z35/+vXhY56I9bCyuz64D7iMYwfUUEjGeNwNRhsR9WppYgH/ADivMTO0cz4ySV5H+TVViMknIH0qRmB6YzjkelQM3fH0yOKpENDHL7cgkj+Hmq8jEEDkZpzMx+Utjd6VXc/JgABs81pGOpDZUnJ249etYV0xGFyc8/hW3MRg4zlec+lYVyW3AsWJ7euaUykQQuyhR0x1FacbZt5MEHkVlqQF42k5xkHqa0osNC+QewPHWlT3G1oZUzD7Uvck9DVgqDKGzye4NVpiTcKMA88cdKsKx5CnORn5RRV3FHYtDHmAHgk8+tdt4IlaP4reHJY+WW/jIA78muEDNuVsEEHtzXe+AI/tHxn8MQlc7tRj+X+91P8ASqor30RWX7t+h+gySzNp6GRSsrAkqG6V84eObC7Gus0Ky+QCzSMx3HljnNfR9zJb2Nq9zcyBI1BPJ618ueLPEkt94vMdqhjTLkKpOWy56nvX0cKMp0m0tD5igpe2XNubXhNVgtwerSngntVTxBdLqfjK2tFkAX7+Dz8qn/HFNt5n0rSGupVMQK7IgT1P/wCquF0bVnvvHGpXrkmK3jYs3YBRn+dbUqWtzuauzW1vWrebxpJBMyNbrNsd8dUjXoPxpuiMLz4gyXqBhAJTIB1xxgCvMLzUGuEaTI3sxIOc5LHmvVPCPly31taxIUULl3wcuepNd0VoNuyPUvFmrHTfhB5SkRyThUwTz8x5rwO8aK7sr471Iihbe+OhC7Rj3rsvibqf7zSbBQxjD73wM9BxXkFxqUkXgjVfvbpThSBzya560Go6E049T7k+FcIg+BugoCSPs4OT3zXodcR8OY/K+C/h5cY/0KM/+OiuoubiRLqGFLW4lWQNvkQ48sY/UnGK8KrUUdWdEFcgu0c65ZsLeWVUyWYHheOMe9VlRru9ie40q6gLyZLGfIXb90kA/pUDjBtpzY63KyjgCQDvnDDODV59TnSYqNI1JxgHcqqQc/jU007XfUVlc2KKpWt1LcSSCSzubXaBgy4w30wau1oUeP8A7QGpf2R+xN8VtSJIFv4WvHyOv+qasv8AZj0z+x/+CevwY00oIzB4QsQV9CYVP9a5T9tDUZNL/wCCWPx0u4XEcw8J3KRMRkBmXA/U17P8M7EaZ+zr4E09cgW/h6zj59oErdq1Febf5L/M54/xPkdxSY5zzS0VgdAmBRgHrS0UCshCAetIVBp1FAcom0Yxik2rnpTqKA5UMKKR0phiUtnAzUp6UY5ouRKKIREqngc0jRKTkgZqc9DTO+OcU+ZkOEexWaFSeQM96heCNsgoCcfnVwnj3qIrleCQKtSOapTj2M42dqFO22gAP+wKj+y2652wxKf9lcVfJy2M4OOnrULccdOema2jJs86rTRVMKYC+WuPTHWqs0EZVcxofYitFmHXODVVyM/h+IobOKqkkc9fwReTsiSCNieMrmvzs/axvZP+E20WyXaIo4GbIGOSea/Ra/ZvOfB2kfdOK/K/9pnVHu/j9cWu9iLWBUAJ455NebmcnHDyserw7ByxkX2v+R83TO3BJwP7p9arO+B0z+OeKssdpBJLHbuAIzkVVIzuYspBPAHavkUj9LT0G7ysozzk8E1CWJkIZtpp75Eecd/yqEk+ZkHI/WkoJhzMhYkSDByMHIP8qYT+9QEbuOlSMx84FuhXjjpUTFjLgdeOO2fWq0QnqIwXzH5KrjjPrVaQsJG2gYIxnGKlct2Jcjgc/pVZ3bYV6fNgk96FZhqhJMFSWbGSMc8k1FuVckKxYcE4pjnA45Vh3phcNaiPByfU+tTKVtgsfYSShTkNnIwCTxVpJFC4GFbPQVjxuv3RwvXp/OrQkbgZxjk4HavTsTc2I3HTPHbA5qfeNw/eAjsPSsiOTCk4ZQTnK81Y8xQSOdpOOeR9aFHULXRvROdx3MGB6VcjZS2DwSOOeprn45Qqrk4Y+p5q6lyzDHC568dKLMrSxso+cHPBI4xVlZRuYqTtPbFY8c52hc4JHAIqwJt0Q5wRz1/Slyk7GykhAwxbkdccmtjS5/8ATVBI+7j8a5ZZAz7SWB7VoWU4F/Cd/RucVLREtTqb0/PGcjkcY7/4VRyBD8+c+5q5euGtwxHQ/pWWGYKAcbAOCRmqiQ9CUsMZ4H9ajdi3ZiB09BQSpCnBJxyTTAzLH1H+7TIeohb5wN3b6VGzYXbgMD1wacDuY8cZ7jFQMAoyCCRRewNCAg5Lfd9+9MbhMDIwMEdKTOXPBJHQZqPAIJcZOOPmxx9KLiQByF54z05qBn+fHQZ656U5jvIIzkDH1HpUbDJHQ49T0oQhrsfMKMxIPvXD/EWxTUvgL4wsSS/naROuDz/Aa7RsBs7gxHTHYVm6lALrw9qELAlJbWROTwcqRiqW5Elofz63pPnoXON8KE5OMnAqkxDJkngnoBya3fEtsbPxVeW5UnybiaDjtsldcfoK51clTg85+YE19OneNzwKiszf0s5tMdGDYx6471ot97Ks2wjqD1rJ0s7k8kgkgkD6mtMs5Ix8qEjHtQri2Hnhhl8EcHHQ0vCkld5DdfUUznzCORuHJHNIzEyONo5GBSuPYRtuMEFSew7VXnGHjc7iAemOoqwTliC2fcjFQXOSEbBwCCCT19qd7CaLUJ4lBDfK/P1NMvW/0voexyTTY/mmlyBsLAlc89KL4gzxOu45Xj0x6U5K6BO7sQ565BIx2Feq+HXDeG7UnauFxknmvJS5ADHGCcHFej+F5VPh5dyqSGIAFa0NGZVn7p3cL7VxgkA5XnOasRpuBGGBPNZkMwC4zjPYccVf3ANt3gY5Azya7Ys4GkTIF2BgpQ7vlwcn8K4nx0i/2VYvuQkXHOB7V2y8lj8qHGA2fu/WuQ8aqo8JREbSUnX5iaVV3ia05K6PI5XK3p2ADa2VH61+xn7O04PjVgdp83RUbjjP3TX433QJlnOcMVPOfb9K/XL9nG4/4qrQ+cifQVAyec7Vrw8c/dPWwstT7j3jk85HTBqFpCAQxJ+nrUauSmD0HoKRjySARXkpne3YezjOVBHqM0wsXIznHYVGzDaMnjII9RUJYkEDBKnrVIlisRk5zz05qvIQUYjofSns/PbGarO209QO1aK9yZMrzY2kknPQkVh3OfLzx3471sSg+VhuD3OKxLg8nk57nvSnsELXIosYHc/WtOBiIZNjNzj8qx4Tkg8HgjFakTE2rcnbgYK9aVJ+8VPYzpiftrEZbLdO1SlS0hJyPQZ61BNj7ZwCoPNSEjzT1JHU54qqr94UNi3GxU5AHuMd67jwHqQ0r4ueHtTdd6W12H246/Kw/rXDK42Lu49APWum8MRiTxvpSnnM+Dg+xrfBQ5q8E+rX5mWJfLSk/Jn1/b6vdeI/EyXd+ztZoG2wg4H0rzHVbRB40X7PGDvDEBSf75716j4asma0j+bCqhycfdHtXnniPUbKw1yO1t4TEEhKqd2STvJyTX6FjHBXhFaI+KwFRyr3bOJ8V601vK1uZN0UP3vm74ridFvzB4X1OQtsMyYPPXc2P5Vh+K9Qee6ZMFneXvVMTNH4fuIwxVsqFB7kCvMVrn0EY2VzptHtILvU7WS6WV1LkooOABXruh6vFHfSQWcEcMca7Q3Vj9TXiVhezwXiqhJyDGmf4Rj5jXpOhkQ2TzEgMcknPBrWCFMzvEeopqvxJl0+VyoW3+SQdmrz7VVK6Q8BYqqSgkg8cVC+pTXvjrULrdkJKVRgevNXvEBeHw7aRyKVe4kVwMcldw5+lY1ZXgzWEbH6IeCVKfCjQUOMrZRjj/dFXbxA+vWjGHUJPLicq8TYVMr+pPb0pvhlPL+HmkrgjFonb/ZFUrog+KdQHk+IZSLEKViOIHB/uHPEg7mvmMSrpeq/Mum9x8kK/aYB5fiPOF+ZZPl/4Fz1FTWM4t7tohb+IZWJAJuF3KMnrnNUdiHT0iih8Ux7IhgBirHB7k9W/nTRNE9vGV/4S4bDkHa25j05z1rdGbOzoyPWsGxnR3itdus78FvMuUI/AtWp9m+Qr5s3JzktzSuUj5P/AG5HDf8ABNXx7Y9RqL2ljj1824jT+tfU2hwC18GaRbAYENlFGPwQCvkb9uRpZf2ONE0uIFm1Hx94ftSAOqtqMGR+Wa+yYkEdukY6KoH5Cuia/cx9X+hzwleo16ElFFFYHSFFFFABRRRQAUUUUAFJnn0paTvjvQQxPXimEEn0HanEkN1prNxye9BDZGx4x/KomYY7jmpM555JqJj83FXFHNVfYh6se3vTCeT/AHqeT6Yyah6HBzyPXmt0eZNjGPODj6VXk4I5P1qUk7iRxk1XkIzjvim1dHBVZzOpyMouNuTtHNfkL8ar3+0v2hPEMwy+2fafwr9bNZn8jSNSnYsFjQk4+lfjH441L7f8UtbucEK925GD15NeRm8rUUvM+i4UjzV5Psjj2YJ06YIzVc5+UdV747Uskm9ypGUA59qql84BYEgdulfMc6sffx3sPfBBQFc45+npVVpMdACfX1pcjzHZeQOMnmq8jckqoPORjrWXM2UhZHLPyQcjAANRg7iwYc9qUllJBfYQwBwOlQHHVTkHIJ6c1NxpCbixYH8zTXyBx0x1B70uP3eI8F8cktx9KjDK2eTtUYxipfc05dCDzAsTBiGwPTpS/KxGECjHGeM0jFltyMFTu/CkU8NuJ3E8cU220S2fVhlHl5JDZwQCetSxyhYs9M9MmswFTnkADA4HWl8wbN2cMDgehr2uRJHO3qaqzAvwQCO2eKsRzE9QQc889KxPNLNkEbiBx2qdZuSQxP8AjQ422Fc3lfOW7Y4Iq3E53sx68bST1rn0n4YgEKTnFX4rkcZJPP8AFwaVtAvc6BJMrh2+Yc+1WllO3IBDZ6+lYcdzt/uAE8A1cjmDsCx/EdqQXuayu+3cTnJ9KtRTlJFwyths57islXzFtLc9s1OjliG6kdADjH1qJBdnoszh9PDfKRgEsOtZgYnkHj3qW3kMukKwPzlBnnOOKobywbsCRjPShLqZlgucZ3bcDnjrRv2oTuAz0xzVbzCzYGTj8jS7iDjgY696psTWpKZCR2PvUOAWMu4ZHYdqaz/IRyOcCoi+DuJIPQkDvU9RSRPu8vBVWIOScmoSQCecsRgqDzVZpCXb5mx3B7U3lj8ucHn3zT5SScsFBYH5h71Fndlud3c+1RkkyE98Y9MCmA/dGcZyOTxTS0ANwaQbTkZ5HembQ+5SAxY4I7elIwCE4IHv60xmyHI+v1qlITR+GHxc0i4sf2gvGWnRRZEWtXA+UdmYP/7NXmK2N0RkwPxxk+tfS/7R1i2n/tg+OI40C+dcxTkdiGjA4/75rw4OFXJ5ycMTX0NGpemjwqkffZlafDPFuaVSqk8c1qs3zZzkdQD2pmAG2MVIzk8cfhUXJUkk4J71rzXM5E+9s7VPHQY7ikX5kyrAKBzuPJpgKxEE5YLwcdqXdkg98dCO1AhxYEEZJ7H1qKYqbYZb5erZ5p2FKA7jyeAetMlXFuzfkcfrRccrjoG/01wuRuVSCR1qS8LBIRnkLznv7VThf/Sgf+mec5z3q7LKBaoCvnfNkFuv0pu4kykR/f474z3rq9A1K2tLExTtJnzdxIGa5gywjJaGSIn36VahW2GGErjdnBK4AohNoUkpHpkOr6dM4K3Crk5545rXimgmdfKuoSp5O18mvI40ij27mEq5JIVsGgLcRzblVgpPG0810wrnNOguh7MD5iYU8A/Mx+tYHjAH/hDZF4AWRWwT71w8WoajaoTHPcKh9zjNJe61fXWkyWs0m6JwM5QbuDTddExpNM5e5K4YKoIx0Y9RjvX6q/s23Stf+A5VORJo4XLdfucivyslI89OQc44I7d6/TD9mW6ZtH+HMxGG+zeXycjgMM15uOs4I9TCpczP0XBIfBYkYBA9Pxpc7VJxznnJqirkrnPzLzUiyMYz8x5HO6vHO5krFjkE5HbnpVaTO7G4gAHNKz89MfSoJCS5x1z2pxZA9mA64x2A7VAzArk4znjHSmkk5wcEcHn71QuZN3Pp+VaoBkjZY/NnPqaw7nr1AUk8itWZiEJ4561izHkZJzk/hWcxK1yGI/MCR9TWnCSIGAJySMCspMd8nHQEVoQMRDKuSDjvTpr3ipbFOcj7UBkkhgD2qbPznAH3sqc9apSszXA6nBHFTH/XD36c1dTcmD0LgOWGA3J55rvfh/aNf/F3w/ZR7neS5wAv+6Sa89B+dM9c8V6j8JbuO0/aA8NXEmNqXD7snGPkYZrfBuSqxa3TRli7OjK/Zn2/Z6BNbWKRojY7jNfL3j22nh163LK6H7OS2f8AeNfY8WqQu6Ao6qwyHxxXjvjvSINZ0q31OxRXAtCCFGWXJJHFfU0cTVlNqa3PlMJh8PB81OVz4h1ck66zP8kcbfM7cAUkEludLTbK8kobezdB/wDXrqr7QIJr5o5/tIuJJggA5GSadrGmaXa6iLfT42URYSZ3/jI649q6nTPVjVWxlxSPIFMe0KsmDgcknHFdrcTPZ+D7lhjcYeOe9c3YWoe4ijA5Dbzx2HT8a9Dm0Y6gttYhsbgGmkxxGoGSfyq46RE5anm/g/w+bq7jurrcsSybpCV9ecU7xNMuo+JN4dG8uWOOML0xuHFdjceJbe2iu7HTUjstFgjaOEOMtMx4MhPUn09M1xY8qS70xEjP769jHXJJ3dT71z1tIGkZa6n6QaRGF8JWMQymIFGQeRxUzr9lzPJPcSRqm3Z1z7+5o075NBtB6RDoKivbhvscwSO9G1gC0EeWP0FfM4haab9PU0g0I1ytjbK7JqV2spLDEZkKZ7HHQVoRSebbpIFdNwztdcEfUVkaaRc3c10smrooO3y7pdiE46qMe1bdaq9tRdQoooPApjbPkH9riP7bo/wS0faHW9+KWk7l9RHL5n/stfXo718n/tDKdQ/aH/Zg0pSzLJ8QvtEm3niG0nfn8QK+sRXRVVqcPn+Zz0ZXnL+ugUUUVznSFFFFABRRRQAUUUUAJ2zS0hPFITgZ60ENjT19aY3P+FO6n1zTGPy9KZm2N6Kc1GcZOCKcSAMA/n0qMtlTnk1cTlqSRWPcHGB1xTVGTuxgfWlcjcf1FR5OD8x4PrW6PJlJJkcvQjk/hVN3whJ445FWWznOeapTEASA4+4ce1DPPqyuzzPx9qC2fwy1u4Ztii1c5Pfg1+L2q3Hn+IbydXH7ydmHvzX6y/Ha/XTf2c/EM24Am3KAHvk4r8hpnDyy8nGSfWvBzqVlFep9nwjT0qS9CBmJD79sYzjjp9aqsRkhQCeMn0ocnzcckDt7VEWA3MWC474r5lo+1iKTtTYOnqaizlFG7LdTStIrbCWyx7AdDUZYnLZ4HGTxipYWHM6FAxbjJ5qp5nP3QvHODUjOCGUEbh044NQj7mN3APUd6ECTbH7lWMgvlR6jpUIYFgqkhupozhzlsuc5z0prDMpfdkdeKVr7lu46Qbg4XIc9cUqbWcDcVUAbVJ61BltpAJOT+tTRY3sMZC9Rs/Sk9ECTufSY2ghh0/ug9aPMHQHoeAR0qmXIUDJYgc0hlOSQck9Mf1r37NnO42LgccZA64Oaf9oVEw+Vf+HaOKzi7D7zAgjOR0r5/wDjp8UZfAfgO3t9Okb+1tScxo+ceTGB8zf0H1pxhzOxjUnyq7PZNW+IvgvQb7yNV8Q6faXIHzRNJ8y/Udq8q+KX7QOh+DfDemvoUlr4ivb5S8KQShkRQPvMfT2r87NR16/1i4F3NMzyOxMg39R7+tYctsxXzY18wZOQoxke9dscJdXZxSxUuh9PR/tZ/E5Zw0J0BYS+QkloSwHpndXrPhv9se7FzFH4o8IfaIyPnn0uf5h77Hx+hNfn5H5aylpBlRxwehrotMZguRMwixwCeR71rLDU7bGMMRUT3P2V8B/FDwv8QtA+2eHL8zlf9bbTDZNF7Mp5FejpOd2MfKOlfiV4F8c6j4C+Ltp4j0eWU+S+25h3cXEZPKkd/UV+wXhDxTpvi34f6X4h0tw1peQCRQDnacciuDEUOTVHo0a/OtT2nRpzJoaAryARx1xSbgZRkt9fpWX4fnLWci5JKt61ddytwy7sjdjgVyltkxfByGJ44460u7HzEYDenUfWq4fk7jwM8mmby6AEd+MHmloxJlguME5/Ed6QvtDAlSnoetQNINo+YHA60wnCZOTkY4phzCttwudy47+tLuIIGCBjsaiZgVBOcgckd6YXUrwNpzwDTTuiRx5Y5DbB0BqLg7lJOM8cdKa7lsAHBxyT1pgLEEOw6feX1+tN6ITY5yQFPXAyAD2qMkNGoY/IRSBsLgY3dDjvQdqvg5I44xSsHQ/K39rvT2tP2vZbsE4vtHhkx2O1mU/+hCvlvdhm6kkdO1fbP7a9iU+MPg7VOiTaZLCSPVWUgfzr4ocII8+amccjPSvcw0l7NHjYhe+xhKk4BBOOg55pFPzOckZ4PHIqFnTg+arA9NtKzLvJU7R15710rY5yU/eABZQw5x0FN3pjGGwTiogwz8oGcfLk08v93HPXmqURMm45fJYn+8MU2Xc0O3JBU5PbApgYbRkNz0PvS7hyOoHUkdKVtR8xFCcXETZxkEc9zV7JXu2c4wepFZiNueMLggEnNaO7Kk8HGOT3psNB3BOHCnPXueKUxxupwpK9scfjTFO08ksM80u3vnAYEdeBQJMb5Ku4POAOppTHMjYWbA6lQTzUgcFztILY5xUo+Zh95j3AptAIJ79MAP5gHIFQy3UrWrI8UakjG/HUirvkyjBCMV5x8tQ7GeKRdm5yOhIHWmmS0ZEoPnJu2qwwcAcHmv0S/ZfnK+DPh82SypdPFz1PzMK/O65DJPHkEkr82RX6AfszOV+FfhGUn5Y9WlUEdQBKRXNjPgN8L8R+mecJtznJ6n2pSxAbBIyfWoFPyAHII9RQZMs3HU8Zrxj0iUucfNjGeMVCzkDAbp0ApinMZ5HAyCaiL5AAHJODz096a3E9B7SZfIIGB/EahdjnnIIA5J7UxmYheAx68Dg1C53KOe/atYq5m2NlJIIDLkDgVjzkkhs4561pSOoU9zWTMemMD6Up7DitCIHC88huhJq/E37iTGeCNuTyazFbOMkE9yKuQOBE6kjpShuPcgnb97yRtzzj1pwJXO44Hf3qrMymdBkkEjjHep2bbjIGPSnN6ijsWVfhdxzg8Z616L8MYmufjf4eiT5d0zHOQOik9680ycpgg8elbuhysviaz2ytCTKF3ZIwD1PFb4SfLWi/NGOJjzUpLumfonDq2l2MkNpeataLLsJVHlGSB1NcLFczWXiJIYiJtOubSMEbtwK88g/1rM1zwX4a07wb4f1TSp7iO9uswh7ly4nDId2R/C3pXpGhQWNn8KNEm0yyM1iliBCbxcyKg7HPNfU4nEQoU+eWnqfH4LCxUrwlf/g6nnFz4Bs5fGCXttuW0dy7oTyhx2rmtb+HWnyBzay3jXB+ZB5eR7812+qfFAaZqDD+xbO4hVwmY2O456VS1b436F4b0U3euaMlgcbvIaX9430HvXF/bFNS5W9ex60cHWlHnS02OE0vwHdJdwM9tKp43DHGPrXRX/h6+ttDkSJXe+vm8uPAwEQ9SfwrqoPjboS3FlZ3+izabeXVqLmO2eZS2wjIyRxuxzjORXez+JvD6eAYPEOpra2GmzQht80gyqscc12vFVFJRcdXsZzjNHxzrXhU27pbwl3VnChpOrAHnA+tVh4YurbxP4ZdoXCf2jHk44GW719U+I7zTH0Q23hzTdNvddurJpdMkllXyccDduGfUYHevne+s/iVbQaNeeKNZtL62stQWbyLeRAknlndtJAByPSvMxuf0cOuSad32Oqhh6tSLa6H2qXvIUFvEkUsoA+VpQMCmxNqqXEryWyMGI2gSD5Rjp+dfLN1+1loNlM3n+H5TL0OJiv8xVi1/as8M6pp0qP4bvjEy4fy75Oh9Dwa86OZYaWvMV9Vq9j6rW4mFuvmW0+/HO3B5qT7S2f9TcfXbXyWP2jPh3EzR/YdfiLKA2y/VtvOccmtb/hfvw6vtS83zfEdrLOu11jnAXgdcZ4P0rb63RtfmIdGsuh9N/ajxmK4H/bOmG7YlSqSqM8hozyPb3r5/X41/D6JI86r4hCqCPmkBLD3FTW3xq+HolcDxH4i4Q8SqGA/GhYzD/zozdKv/KzJ+Klsupftu/s6LHsQWuqX94VcFSxFo6kgd8bq+oN4zX54+JfjZ4Quv+Cm3wWtR4hvJtGtvDWtXc91cWhDwS5t441GByGDvk9tg9a+p7f4v+ApWjYeO4Nqt8yyWhG8enSuurWpyjCz6fqyaMZxcrrqez7ximmTDY4/OvPR8V/h15Qc+LtIVT/ecj+lTJ8TPAEz4TxdoJGM/wDHyB/OsOePc6Hc70vgdvekMnGeDXKR+NvCE5UR+JdDct0AvF5rQj1/QZiPL1jSX9ALlP8AGjmRPMzc3n2P40oYntWUmqaY7YTUNPY/7Nwh/rVlbq3J4mgP0kB/rTEp6l+ioVlU4AZTx605nOOOtBpzqwMcZ44FReaBjg1HIxKkfMM1X4Zs/N1rSMTjq4iz0LLTDk8gVEbhRjJNVnzv6tgnkE1Ac5OZCa0UEcFTFzRcadNjH09qj85PLPP51RO8jHmHP0qMB1P+t6npjkGrUUcc8ZJlhp4zKQOT7VGZF2kGRc+hqmRJvJMnJ6fJiqrLKS+5oyue60N2ON1m3qaEtxEuMyKPQ5rKvp4/LlVZFZiM9cVSuI5ftSuHjIHB61RMLrPJMqRsz43MWPbpxWbkZt3ep8y/tR6r5P7PT27oY5Z51XZnII+tfl0zhpWLN14wK/QD9sLUXi8J6Bp7EBppWfYORwOtfnqWUELu2n+IGvms4m3VS8j9F4Wp8uEbfVjJJAHON5Pdj/Oohh5XK5wO2PWmMWYliTx1GefamsX2MSc5/nXiOx9MCqu4kscg8n1qJzIWUd8/h9DQCccbeTkn0qFj+9+Y8D34NJalCuxAXCneoPfoPSlOMryDn9KhJy2Sc7gDx6UjknqTnqMVSWo7i5yg3DLHPQdqduU4AODt4z3qAt/pB8sk9gDzik3bQucs/UfT0rJptg7juBMc5yvYfnVq22u+C33jnpVRDjzSMHJzgnpVy3XhWONvfBolexUXZnvDSkjb0b+Ej0FU57nZEehY8AE4P/6qV2LEsCWY85zWPdzF7hjwDnAx3Fe6m0csmOlu3aRwWLnGQM4A9a/NT43eK7jxF8ctUjmfFppz/ZbdAegABY/Uk/pX6NS/cH3DgY461+a3xu8O3Oh/HjWWc/uNRYXUMmMZJGGA+mB+ddWFSczixl3E8rW42KCFLY+6c9KnW9yR+8k47BsZrIbClRnK55xTokL3AKDOTn6V61kkeWuZHUQS+ZYuBCk3y/Nx0+tPeG88hooFaOJhuWMf0rp9C0Kc6bC88ZLzOPLXH5n6YrtX8IXMaxBYwvlNkH2PavMq46EJWue3Qy2dSKbR42La6BWTYxQLgPjv6V+iX7InilZ/hvq/he6ucXVhdeZbQM4BCMM4A9jmvAfCvhGwnvrSzvmjSJp1Z2OCFXOa95+HXhbQB+2PqGv+HL23nsrezCyrA2FVzwfY9K5nj41fcsbvLZUVz3PvLw7MY76YZ2nGcEda3pncXW9h94bvl6YritGuB/bCbclSMcnrXXzSFnRs4ycdelcydzOWjJN53Bupxg47+9JvO7bhc9j/APXqnv8A3pIBJz0z0NDPlSRuyPfgmqcSWycksNwJOOB6dacCWyd2T78Cqolfbu+UsDwKYzsScnPGcY61OpNiUy44U7jnJA/z0prEEncQM9qZ5reXxgDpz1qLdhi3XscU43Al3DJBIPp7U3dwFOdg55qMOC5OODyB3NNPXIbIxjFMB+T36Z65/nSPJhScnJ7+tRlstyQSeoU1GsnGNwBPvkU79hdD4Z/bctGfwj4B1BUOV1CaF268NExH6gV+cLSyO+HcxgcHiv1J/bJthcfs16RdYz9m16A5HYMdp/POK/MzdbqNwsosg9SRXr4O7p6nk4qPvmEWImOWJ2nKmtX5mJ2qeehArVtb+ON939l2Dn+9KSfx4rQl1HUbxCsOn20CjqYbVjn8TXYpWOblOT8y783aLSU+jBccCrscdw6EvE8auM/McYq+8Oplt8y3CgdPlC81E1m5h3NcOZixDRlhgDsQf6VcpaEcrRXeKfgo8cXHO40sSHy8Syocc/KOTVKe5sLeQxXOoWEEgHIknAP061oWlvJfFTp9lqOqjOP9AsJbnn0/dqadu5SVykyFCjcHL5yOD+NaCD5WDbhxz6mu40v4UfE3XLFbjSvhx47v4mOEY6S0G8/9tdmK9L0T9ln4868N0XgAaKuR82uarDb4+nlmQ59sVlKrHuUqMn0PAVKKWITcQvOTT45MqSoQDHpzX2bp/wCwt8VLiIPf+KPAGjMRkjM10AfTjZmu00v9g+9S2c698VdMjmJyv9laEQMY5z5kj81DxVJdSlh5vofAikbcb+COoGKtQ71kV4kcsDn5hnmv0o0z9h74c20X/E4+IHjjWHx8yqLa3X8PLiB/Wuz0/wDZC+AlhLG9xp3ivWJEOW+2+ILho5PqgcKB7YqJY6maLCSPyukmu5Jf3iSsuO5xWbJe2EW55tQ0y1CtgmSdBg+nJ6+1fsxafs6/s52cqyRfCDwndSAD5ru0EpOO+WzXfWvgr4b2Cxrp/wAO/CFnHGgSMR6VEu0DoOlZvMILZD+pt7s/CpNMuNdIbSrbUNYIOP8AiV2U15j6+UrYH1r79/Zw0DVtO+BGhyalpep6aE1qYwrfWUlu7p5nUI4DAe5HNff9rJb2ORY2FhaITgi3tlT+QqxJeyzqBIkZUD5cxDiuetjOeNrGtOgoaj1lPlEnIA65NKzng7s/hVbzPu5GR9en40jSoO+RmuVM3LDvwxI6dRjvULSfKv8ACSeeOKi84Njr9BULSYQAdSeTVpib7llmDL8pxj72On/16rM/yHDDPc46UwyYAHOPWonkwrZPBOOlNMhrUSWTaD2yMCsyVgWI6j19atSuM9sAdqy5XBA5PXjPrSkOzQ4OAMcjn8asRvtRgM9MHPOPpWeCxJVcHnIJqZWIz1IxzkUQlZibbGOczr8wIyOBVgnM2cLgHJrLZwZsAAjPOOtXi2HbG3aTSm9RJMt8iVQwwPY9atwTPBcCVXAK8r3rNLHkrkYPrwalDkAbyCeuPWkpNO5VrnoV18TvFc2h2FrdX63FraZa3imiBHA7+prff45/FG402z8nSfD19YG3ULtujCSMYIIxxXjN0zOuCrFcdR2rzTVtR16HUvKs7/ULWKNAqoi8HHrxXVPF16seWU3Y46eX4antBI991T4h+PriOQweCbATM2Qw1FXA9sHGRjivN9ZvvGviXxjLrnibwrfX105UKkM0YiRQMKqru6DFeaHxB4wi5j1m9BH96BW/pUi+MvG0Tc6pG/YmS1XpXnVMJGdRTe60udtONODbUdz02fWvEsviBtQu/D/iv5k2rCm1kQ4xkY56V6hrfxL0fxD8MtL0G8t/iP4dlto1R5IdHNwjADDDHPX1r5sT4heNo2I+16Y+OTm1I4/A1YT4m+MEO1k0mQcEYDr/AFr0KWIxUa8a3tW5JWTfYUqdKStyn0lN8YvDOjXvhhPD8Pi17XS4Vjl+2aZLGzKrA7enfHatLxZ8ffBPiDRrSO00y40OWGcyyLMruWyuMdO5ySTXzInxY8RqxEmmadJ/u3DCrQ+LmqqVEmgWzg9hdA/zFedicHKtNzlK7ZpTlGMeVbHXP498K3B33F9ZiQj5YnjPyn15FSN4x8IQ2zRwX+mtu4fbgEZrkv8AhbO7Im8KBhjgB4z/AEpv/CztDkBa58GyZ/iP2eFs15zyV7qRSqQQky6A19JJBrti6OC53sDg103huzsXDXc+paUIxwsZlUNn1rmT488CylvtHg0EHnnT4z+eDQfGXwrKFp/DENumPmZ9OwAe/INdf1Gq4ctyrwO3uIbDzjm5sZGZScGRScVzMkenDfGGUtyTsbArlb74p/AWxt2ebT7C42g5MMEuV9eQa5h/jP8As+zvg2t9abl42vMoPp3rCOVVx81NblH/AIRDxTrv7W9jq2jabcX+nab4eliZrZ8ujSSKQSMjghT37V6mnhvxrEN8ujeI0XoNqOf5GvONJ+K3h618d3tz4B1KCG2uLRIzDcylmZlJPGTnv0r0CL4w+OYY1KyadJGRywWRf617FLDe5FSexzOSTdkVbuw8XQSEvZeJI19Ggkx/KmQR+IvOKXB1iPpgtbv/AFWtdfjh4yACy2tjMmeSLlwR+da1r+0B4pt2QHSYZT6i6HB+hWqnhY9JEuo7bGfHeahaRKUur95Qedy4IP4irya/rEUSTnUZAu3LBivB9K1If2i9XF0Wn8PrIcdniI/Vaml/aDguoCt34VBVjkFbaE/4VyvBSvpIzbT3Qtjr96IDPDqpaQHhQRnFasfibxW2BHqrqM/dyQf51Tsvj34Wt9q3Hga1mAHzGXTEY4PuDXT2v7QPwncD7f8ADbRyc8kWUiZH4GnLA1baTM5W/lM5vGHim1sZmk1mTzgRykjjA/Bqdb/E/wAZeSUGtXMK/wB7z5B/WuguvjN+zzqGliOT4fWVlNniSOSdCP0rn5/HX7P96pX+zvsyn+EahKpz69KyeDxa2n+LBez6xGv8XvHVoD5fiK9lGSSPtj1H/wAL++ItvJE8WsamQAcj7ST/ADFZ41f4Iz3A/wBKaKMdAmqnI/OrccfwYntW8nWb6N2B6ahE3060Kjio7y/FmnscO1rEuxftE/E5Ms+rantA3YZ0P8xXSWX7QXxUfSZL+NNWvbKM4knS1RkU+5A4rijovgIusumeKdSglKlAfOhfg8EflW9on2XRvh3qvhjTvFLHTtQLeYZLZHZcjBIINY155gl+6d35vocWNw1qd6NNSd1vpp1No/tQ+NoI4mmaQKwypktEO/8AHvVqH9q7xOjKk0duzd91mBz781xWuaLLrXhDw9oa+J9PitNF/wCPZ1035nPUFyDzVnVNP1PU/iHa+IptW8LTTRWjW32eTTmERBXbuxn73cGvVj7RU23Vd9NPz69CZYCk5L90ra/8D7/wO3T9rPWlkKTWWnsegJtWH8jVtP2t7kttm0vSWz1OJFrwGP4aXJ1eW9u77QNRieMhYFneEBiMBhx260ulfBrULySYXmv6DZxImY2F3y7ehBXp0rl+sYxy5U3+BvLJ8CldxX4nvb/tYujB5fDdoYzwrefIob6ZWoU/a2007RJ4fTJ4Ijvgcc+4rytfhz4wsI7G2sPE+izWKodzebETGQPQ15Zr/wAI/Ftnqv2qKC31WSeYtm2ljPuTgNxz2rR4jFQV3+hzQyfAzlbl/Fm3+0P8SE+IGo6LcQWMmnRwRshiaVZM55yMdq+XGPzBwcLnivTNb8C+MI5ALjQdSkcnccJnA9etcpP4V8SpIyvoWqj3+ysf5V5eJqVJz5mfS4LDQoUlTjsjmlIwxYkbj+FNc4Qbjg9jWxN4e1+EBZtG1aIE8ZspOP05rPuLW7t/kubW5t3ztCyQsp/IiuXlbO1Ipc4IOf8AeHOarMB8wJOOuR79KkbKu25hu6EZx+FM6z7TjIXGAehFOzRTeg3cdxB464x+tOJHljLZ5x7UjIzOeAX9M0xhx8pyQdp46UtWTzNA3NwRyPm4Paos4DA9O/HWpGIXBC7u31qJwd5XJYYPUdCakOZkkatyrcZzkg9K0YNywYwVGOCetZikrKAAuRj5T/npWlH803IOSflI4xilN9DaCPZpGCQP1PfI6ViMMuATnPQnitkndEwBOSOOOo71iyAR3H3cHqCe9euvM52tSvMep4C4ycCvF/i/4FsvFvw7uHaNV1O1Qy2kxGSpA6fQ9K9hubpItvqeRXBeJNSyr2yjcpUh885zWsJNO5jVS2Pzal0HUordbhrX903IycsPqK6bwX4bOq67Cwjdlicb0xXuXiPQZVtZ4tNj3NPIpjCqBt9vYVJ4e0gaNqUl35fkyOm2VRyN3qPrU4jMZqDXU9LDZNRbjUi7rqWtSYaJpouI7dZ7pBiCMqAF9641vF+ty3caXUVhCrHKIjEtz7V6zqEOn3toUmjVmI4bFcFdeFtKsLSS6idd4GTuXJGfSvHoVYtPmR7FWhNtOL0Hyrfaj4Vlns7eW452uqEg59SR0FfQP7P9rdafpl5Ndab9iRjsXYMqfx9a43wfrnhfwz4aNlqtzZzS3y5eGJt7KuOCR2NdTpHi6Wy8QWmnab5s+lTMGt3KBWKk88D+dP21Re7FfM6JYSm43m+h9j6dc7dXtirkruHHY16BLKWi5wCT1IzzXk1nKFaCXnlVORXpwlD2ox12jOB0r04nx1WFmPBCuevpjHSmlixy2Sx9qj3E4wMHp9aZlcsuTwfxq0zJ3JshspuJH1pFJAAJxx1J/Sod+U5XnOQCKdnoccjJBoWokxcsWBJAb0HYU/omct2zk1GWYR527e445Jpgc42kkt3OeKSQ7j+S3DZHrjkUKwUL0yB1qIuAMDHBpgO5iCFQ9qLi2Jg21c44HXtS/uwpOSMnJx6+tV2lJJAI64quZdjnGSue9PYbZ5n8bfhzq3xO+BVz4U0N7BdUmu4ZIJLtisKFWBJYjnt2r5Pg/YP+JDXu+bx14EsYc540yeZv/QxX3+bl/LwHORyMcEVI80hALSyOT03Oa6aeKnBWRz1KUZPU+NbD9hSNIR/bPxfv4eQXXS9JhiA+hk3HNdla/sZfCiK3xqnjjx5qTgjDjUUiHA7qigc19Ilz3OW3d6duDr8oUg9fwpyxVR9RKhDsfO0P7HPwBjkX7Q3jTUirZIk1+4G7H0YV2lh+zf8As66cBj4XaPqjr0fUy9yx/wC+2NeqkEHhsnGTjqafznLbiSOOal16j6lezh2MvRvBHw18O+Svh/4e+DtI8o4i+z6ZENn0+WushvIbaFktbOxs0J4EVuq8568CskHGRxknk56//WpwchThx1/Cocm92HKlsbbatc7SokIXOPl6ConvZZ/vvMw7gmskOTEGz7njip4ywTLODxn3qbtFF7zuuQ3uTSpOcfMSM9Qe1UwSWGT29Kl3kgALjHt1ppomxbDEsNwx9B1oznO0YDdTjNVyV3HD7uOeelBbjrn3HpSauxNFrkErkr3xUoJ83BxwOMVTEgCscHp3NOEm08EjPNAtkXFb5iAcD+dG44Yc4PQVU81y3LKW9COlIJCBvJbjoSaqwtGXsjswHtimOw2n9MGqvngjHOO2KcH4b5hnOTmjUGThgOq8dDk5qEv1wV6cc5NMaTO4Z28duaiJ5ABGM5wB/OrWpDRIzkkrj7o6VVdznOe3IBp7NyegB96rOwK4LY6Z4ouQxrSMWK5DY5yKpu5yecH096sOfmbDYPpVEvuwCcgnGc0T2HF9xQ2HAGQRyfepi4+zM3c459qp7ioxTXf90AcYx+dTFlSGMxFwgJ79R3FXdwAY8AHv2rJ35kQZBIbnFXy5eTB2gDoQKqWpKLYLHhTz1yRipl+Yrk/l3qkCS+3HOOGPeplkIyMYwOxpDvqWkYhyQMnrk059pcgrnP3SRVRXO4d++etO3AtwMn1z1o6jsiVUQkDEZI9VppggLbfJhIDHGYxQrDccEEgDHrUi8LnG0fzouDRXawsyw329sTn/AJ5io20jTZGAOn2rE5yfLFXxywIO4+h7VJxwclTjoKdwSMlvD+kEqDp1r/3zULeHNDdCDpsB+gre3ZTPOOD1pQ3DYPB9eKauJ7nLt4V0ORsGwGD0w5Gahk8FaHs/1EgHosh6V1gzv7D3rx344eN5vA3wG1G+0+QLqtywtrTBwwLcEj6DJrSOrsDWh5p8QfHvgfwrqk+jaZHdalqiHDlZcxRk9j614F4q8X6tf6M7vM9tbsuQgJH+RXz7LqWoXWpebNKXkZi7EsSSc9z713kF0bjRFF2s143GGx8q/wCzWs1yG1GDlsjCuLu9v4BK8r21qCQqqD81cxqBkjMDzSzpuJI28fmK7yHV7WHUnsr+ymiZB+7VlweenB7Vg3ulNfSXTsdsu0mFG6/gK0p19RVKF0cpbahc29yslvM0bj5g285XHv619LeCfjx4jbSrTTbo2ksVoQgkmI3yDr3614JdrpNreYuIiJQuPlOQDj0rnb9FXxXBNZ7WgUK5CnouefxFayjzo4kuWR+ungrxDaeJbKIXOm2pleMOsiRgqwruzpGlMrFtMsyTx/qxk18cfs3+MTe+J7jQWLSRpb74W3cqR1r7X3ZUZzz3rx5SnGVmeklFmU/h3QXAJ0u2z04GKrHwn4ec4OmqvOSQ5GK3ck88cd89acSfmXoT3pOpIn2cTlW8GeHWH/HrOp74mNQt4C0VzlTeRnth+ldfuAJ+boRyBmpY3YsVBYEHGTVRrSE6aOEm+HekuSBdXwb3YH+lUpPhvZEsBqFxnGBujU16UT8/BPI596YxIc4Yk8EgjmtI1WS6cTyuX4ZRPkjUl6YIa3FZ8nwwkPCX1meP4oK9kL7QuMg5xg0x+gwwI9qJVmHs0zwpvhnej5ln05lHT5SM1Gfh1rSsCs1pgDqs7AV7YceSuDgg81ICjA469hUxrMbpqx4X/wAIP4pix5c9wmOhjv2AH4ZpreHvHkLHybrVwOxXUScfrXu3y4wNufbv71Axw+Mnd6CtFVuZqlY8PKfEm2+7qHiEbTkAzBh+tNGsfE63JK6lrW0DI32yt/SvbnyBgqrr3JPIpjDaTgbuwOe1HtLAqWp4oPF/xJhf97cySA9fM08EfjgUkfxI8e2zhnNjnGTusWUj8QeK9j3hlI/XrTHCcfKjEck4HSk533DkPKZPi74zzuubXTJmxg5SRSf1p4+MXiBAvmaJYkAZOy6cH+VemNDbvnMMRHUHyx+VVZLCxkcB7O1JxyTEKl8rNVzI4eL43aoBiTRpwowR5V/3/EVZf42CcYvdF1KQ4yS0iScfjXRSaNpD4LabZe58oZNU5PDmhMhB0u1O7r8uBUuEexUZT7mb/wALg8PtH++0KcDOD5mnxOD71Xl+I3gG9k/0nQ7ZHPB/4lAB/HbViXwhoEgb/iXRJ6kMRVOTwR4fGB9mlDZwQspFJUoD553GDxJ8KLlws1jpUTNkkmykT9QKQzfCO4nGG0qPPTbPIn48moT4C0N3bm8jAPTfVQ/DvSDu23NzsPXODSdGmV7aRebRvhZcqPKvLZe4aPU8AD8aafBXgGfcINSuFwOAt8jVhv8ADiwIP+lyMPeMHmqj/DeDnZeRKTz/AKqs3QpmiqzOnf4a+HJGzDrd8DjIw0bcVA/w3sUZ2j12baMn57cH35wa5X/hX8qBTDfICD2DL/WkTwfrUUmItQkJzz/pLjP61LwkHuUsTNM7HdnIVgpH+TWVfSCEb+Nv8PufWrwPzZ+YA9R1rH1hsWpjLAqewqW2kdTRw+p6g735IO2MKR16muRugZpXc5dsg5zmta6V/tLjBOe5/pWZsIRiBt9BiqVTQ5JRuzDuLbcNwRw+CDx/IVxeoxyafqcTJ5skchLMh6fh716dcxtbaebqRJPJHWTbivPNYZryCRonG+NvkGcYNcdaSqKyO7BTqUnfoUZbiJ4BJEGX68HNc5fzSmyknncLEnzbB1NVbue4lDyAGG7T/WKeh/Csc6nL0u4WfBxhea5KcGj6CNfmiNkurS5uElg0yXcw/wBZJ8o/xNe7eA7fVdb1bR5FudMiSCVU+y20X3V9Gbue9eMPdWdwgeO1mn2dVSMgZr6j+D3hLxNbyW19qemw6PpMa+bDGzAyzMeh46CuuUnKKMqlZRi0z6UjVktwgbO3j/8AVXollIZNPgAZs+WMkd64CMZHCkEniux0l2bS4+QApIJrog7nzVXuaW/Lff6+nWm5x0OR69qjdsAgEcnjiow6hQPm4Pfqa3TsYORZDHaACc56UqnjrnPNVPM5Azn6nkUM2PugnjrniqFzF4y7nA5Jx1Hf/wCvUAb5mzlagWXoQQqnqAeKDIORtODwanoJaslMnz9Ac9+9KJFBxgk4znFROVyVJ98mmlwMkY5OD9aOg+pKTl+oBJ5xUDbG+8Pm7Ub1yxPbp6Go3fKcqd+OeKroD2FO1ZPmbgjvxTxholC5x0Y5qru3Rk/NktwPSpVYIh6gY570lcSsWGO3jk471H5gDFSR7Y7iomZnGQykAggetGMuTjv2/wA9KogmGVO4NyeKcJSRyQfX2qEDAHJAHoKem0semD7daOgr2JUbcc8suMKT2qQcxKcZA9ajXlAmfmzng0/d82Qc+lAaky5ZQC2Qe46ZpycqOeo+UD+VN3A4H3fbsaUkoegC5zSTDYsJxk4JPHTt7VIxK4AIGTyBVdZG2HjA9QaehGxQTtP5UXBMkYjacsM4+tBxj+8M/nSYO3lQCevPSlBzk4Ykdh/SmTK5JhsAnA/GggkYYg8/SkDL3A9+KUyKTkED29KXMFrjhlF4zyepoyccMMnkZFN3nZ6e9G/3yMce1UKxLnLAqRnFG7cSRyMcg9qrk55VsnOcDvTflwcckcke9ArWJQ2Vwp2nPA70xyQQCQB1zUDueTjcfaonc4zjHqM96u5JMXG0ZyQOhzxVd3UqeGB9SKazhcAn5T121A8hBwMt6cYwaaRLQskg3Bec4qkxXcG3AgNnHpT5CN2cc4zwarsR5ucjdnHFTKQh2/a7HGQep9aH2+RvVQecVDv+XnllGeR0psrH7KzcfQHpSSKIC/74cH72PTNXy4Dg5wSeaxy2ZsjsRnnNXw/zY3D1ptCiy8HAPIwB096kVhtALfX6VR3ruwPmAH0xUgkAJH3eMn/GjUNi4rfNnle2R3qVSMDng8ZHFUFkwzMDjjnNSJMd45zgZ60rjTL42gnbgc1KHUhtw+mTVEygMMAAc9O9O88dMk+o9aXMNl0vuIO4Z/KlDMqjr1xg96pmQFRnBIP4U4zHndyvXg80+YpRL27PJbnrwKbv45BbPaqgmIKgMTjvigSkk7iOaTkEolw8/PntgLXy1+0rpUmvaZ4asoJOYpnmcf7O3GfzNfThk+Yf3iMY9K+XvEPjfwx4l+JF/FI7qmm5t2iYbSSCcnHoTWc6ziro7MFRVSokz5x0P4aM86zSwyYLckrgMK920Pwh4fsreOG4tBLH0dSKuX/j/wADaZbx/bLmK2RQAMEdKrr4r8J60ijSNVBkcZRX/i9gfWvCxNXF1ZXadj7jC0cLRgkmrnGfEzwLol5JHrOlFv7SjhEVxHjIdB0I/wBoCvlLXL27tTK4uWE1vwrL/FH2P1FfUur6jcC9lXHAOOOpr5f8VWjpr99cgBozIcgDlc9q9fKKkr8smeHn1KDhzQWvU81l1KW41AM8pOQeTz9KuRart04RbEDhWVjjkr6VkyIBfP2AOVBPB9qq3JCzjafl+98vUGvrLJ7HwLbTufU37KWtGL9pa2s5sNFd2sq5P8JXBBH51+pQJyDwDnivzn/ZA8Bw6j4p1XxrdrIV02QW1oAcfvGGXP0wQK/RLJBGeQOvfFeHj7e0PUwt1C7J3J3AjcP9ntTRl1O8YDdD6UzJUk53Y5wKCc5GcZ/WuS51pE+5QDwT9emKRZMRkEdfXsKgVm8wggeinNOXGBnAx6HOKm4Isbvu5wMHg/0pc5wT65HNQY4IPJ9jSEgbtgwuOfWtlsZNNsnZm2EEZJ6nNVCzZxk4HANKfukDgbe5qAn5SMEjAxg9amRcVoKpwxG4DjmnF9rJt49yKgY4cnaOe+OlIzdAPmY8470th3RYJHzEnPGDSA/MecHPOeaiwQ2enHPbNMySD055BzVpmMnroPyueSQx461GxBxlOe+KiJJPTJxwCelRlyeGO0H9apSKuKSFnIwFBFRErtP3h260bjyeuTyaic8MQ+c8n1pOeo3sPYqR94lvSoZCVGccdwOc0jONxJYA9s96gd/nOSxAwetSnqFrocWwgycgnAAFRt8y4zwKi3tsPGD0A7U1g2W+6SeoWnzO4IkL8bi4981CZAUXAJbsex96jLEoB0OfrxUWeWySSeg/pVOSSBsmdzgZYAD73eonk6bPujke5qBm4bnHPrUZf7235s9ORUKRSj1LBOc7sZxziovMwwOe5JJ7VDuGWJGeeTu5pjyKwUK2SD34okrlXJsg8AgZPUdqaOIeT2PfrVfdxlRznt6Ujy/uzwGA9DyDVNNIXMc27mOMszspByT/AErkdUujNP8AKeh5JPStK+vCoKqTt5OM1x1xdxo3mSNyT931NYNXO2ctSOSyub+/iitoWlncdErvtP8AhtfQeGrjWL21a5EWFRDwm4+vc1o6Tdad4Y8N2E0uJdWu4zLJHGoMirngH+6PrXSf8LR2eFLnTptEllt5ZVcsZwWQD2r4jMs3xc8TKlQjaKW/d20PcwmCw6pqVV6voeBeIhfrLNBeQSRxn5TG3GR68dvYV4jPFLbajIj7vK3HA6j8K+xNc/4RTU/Bzaxojy6pcSA/bLEni2XuU77q+eNYs7GHUV8m0llWVT5Um/gKf61y5TjqlCXLVer3ReMoRnrDY8w1Ky89luYWKsq8HuwrnXs5HuSwU7uMgD/OK7bUFXTbjy7pZII35WTBII9cjvT9En0LU9YTTxeRLdzAiIlSA2O2T3r61VYyipQdziw83TfLIoW+l3L+ANRitlPnunyjPORzX1d8I/FTT+A7fTdWhZp4UCMd3K8dR6ivG7G1j0LU7eO4g+05nVPJI3byTgCvr4fDTTNA+Gtx4svLvTtO00W7XVzdNMEFoccRgfxD29a5vaynddDsrQVlI3xYs2mi5s5luYCOdv3h7Yq9pbstu0TZDKc7en4V8/eGviZc2PjGyv5LFRpglMF1HKx3Lu4WQr2+nvX0pZ+IdD1G8uLKe3FjcR4ZJkfcGUjgmvJoZ/DDV/Z15XXe359DOrlXtoc1NWfYC2bj5jx2FRFyMjt1HP8AnmoZJFZiY5FkXOAynhsHr7UjE5+YgDqQa+zjOM0pRejPmpxcXZkhYY4B3HkUFie3OOnSovMbgYGOhNO3j5iW5/vZ4NbEpC5BTlwMDH0qYThTuCg/3eM1V+9ndtzjORxmoXfaNu45AwaTHsXTLnoBnOMAUinG7JBB6mqiyYChsn/dHSlZ8KoJOCelBN7lnI3BjzzzTTudue/v1qHfkZ3fLn15pzMUbeGBJ4JHamwbI23K5wcOP7tO3My8YPOeOtDdVXjk8nvUe5g4zgbRwfxoTQiwuOhGP7vSn78N82STwV9agV2GMgEjv2p4fPOcnPA6cVMrhcmViJOCSD1460IzM3AAYnoKiDKGwQTznnpS72ySD07df8ilEfKiwX2xHAwFPGD0p+9gRyCx54quCeCf++fenZzuyFz6U7MTRbWUHAyMD0o3Enp+Zz+lVR1OAPfAp25iRyoI6ZouJIuK+SduP6fjT1cbwDy2eDVNSQAwJGOOO9PD4JXJGaYti6HYlhnj1H8qUEA8jGPU1WV8ADHPfng07zMuMY559aXMG5ZU4U/K2fToPrQZMHOSSTiqrTHgcg+tNyD1YZB5oTE12LpfrtxjGSRUbSFZgoxlqrbhuJHI9qTePUjHFF9RNloyAgEgqcfnTcgNn0GaqBwGJwD6UplZd2McdDV9CXqTOxIJXOSM8VAzlkJzj+lRO5wcSMAT2qM9CckHHHPWhMncdvwcAEcGomclgMc4oLgHKnjHIqs7sSPmAA6c1SkO1h5zsIOVGeDmqxcZJHQHrikd+eT04Bquz4wcHJHb19aJEtakwO1ifQ8ZPFMnkxZE8ZJ4z0NQ+YcZ++w+8T1NQXspTTnbcOOeBxUxYpbFZpcSgKR1yM1os+XyQDj061y63PzoN68kcDmtV5/3uQQuTmraZMWa3nfLk9ewp4lB9ADxxWN57Erk5yfyra0exm1W9aJXSKCNQ0sjMFCgnpk9zTiruw3IcZQDjIBI496FnUMSCOOAemK990zwH8PbjwtELq4hj1VV3Mw1hdsnGeBnArhtb8MeHIpT/Zd2kpHLBL5XCn0yev4V6ryatGnztq3qcax1Nz5dfuOBEuR1JGcYFTKy71Ygj8eCa1v+Efj85FivLbzpWAjQzqOCM5JzWpeeErmy0mARs97qEnzhYWBjjUf3jXmVsNKnudcMRGTscuHOeMe60/eC3br161TYsJCj8Opw2eeaNxwOSCfauVs6lJFwv2UZBP5UZ+Yqc5FVsn+ElR35oMnzAZBYnB7UiTB8S2Oo34077Bf3ljHHcZnFuBudSOpPbFfJ/j3wpPqP7Rl5pGhtJF5MAmm1KbsSMtux1ya+zRJFIHGcjowr5om1bT7bXdce81GGzvLq5ZVWR/mXacAZ9Kxr1+SDstT2sowyrVtWfFeqNN/wlt9b30iXE9ncMsjHoQD1FaUXiJ9N2/YG3tkY8tetega/oWmWPxa8/UNRsrmy1Rd63mnuHCHph0Pf1r0DT/C/w60u0m1N74ancQJuEbIFyfYVrPGQVON09j0nl9VTlaSOI0rXtc1XT0aTSVi2jJluG27h615v4vs7yW4uZI5Y5UkbMhijJUe2e9eoX+oRX8txcS3BhgHyw2yHGB2ziuYnvWnhFkYQkOOvtWFB8s+ZKxliI80HFs8R0/QVME91e7RGxKoJBwDnGRXTazoemjwHKBpcY1i1RZ7KaEYa4zx5TdmDHp713P8AZGmXiR273ogjtsuVWLc0pPTPYAetdz8JrG08aftBaRo1paNc6Boim8u5ZAMsy/6uM+27LY9hXpzxE5NNPY86WFw9GhLmW+h9d/BHwQngH9nvRdJbH9ozp9rvztwTLJ8xH4ZxXrgOOMsTzVZHAQcrgdh/hRu5+U8Z+93rjnNyldnmwikrFoPlCWxgD06/WmlsvzjaOgFRFvkwep6movMy4z1xzip3Keha8zHJyF7ik3hduWwQPxqDec7cYHv6UzLebkZ5HfpTuES55pKrzkZ5I7UjudrbDjJxg8VV3knZtDHGM56UhcHqGBycd807tIonZ9qkgHOf8mo8ny9pGMHr601WLAKPnPp3Ndno3gjU9U2TXbHTbM4JeVcsw9hWdWtCmrydhqm5OyOf0jVLbSvGenXV5pseq28cu5rV3KK+BkZP17V3vjz4lr4u8NJptr4csPDTLIGkuLMrvkA/hyRwPpXLeNm8BeGLW03eJdLhu7cs07TTDLBhjOc4GCOleWHxz4RvbkxWuu6a6Y+V2uUAP0Gc1yRxEpe9E2WHi1aR6v4B8R+HvCWq31zr+h3filp12Rxz3CGOIZycKRyT61D4r8VaX4u8YPceGvDX9haTbxhNkcPzSOfvbivHFeXtrGmzgiDU7CXI6rcKf616p8MLu1g8B3DvvWSe5LqTghgOhFRVxsqa5mrjhg4bI41xKrY2yxt6lcYqu7jbk4znk+te/ve2kg2eVHIW9Yga4bxro76n8N9Vg0iPyNVeHNvLCFVkbtg1zRzuLlaUbFvAvlumebeaC27OenPvURk5ZiRnv2qX4LX/AIj+IniXU9A8ZeC4tJvtPkEEmp7DALplA/eCM9QwPLISNwI4r6jufgn4ZktB5E9zBNjlt2VNetRqznf3fy1OPkXc+UsgHBqMu2SCSWPavoG9+BkxmY2eqxBO2/Oa5m8+C3iSBy0MltOp7pKP5GtHNrdP7hqnfZo8fLtnOQMDgelVy43c8uT8w716e3wm8TmJx5JBX+8uc/ka5i98CeJ7B9s+nTtgffWM/lxSVeD3/Uaw8+xyokwx9Omc1C0mY/THp0pLtHtb02twBHcjlkzhh+FU3kGwsTkDoS1bJqS0IcGnZk7ScAMMsOSKi3Euc9MY6VXMmSeTntjpUW8iMvx0Gcnp7YpqJFncubmMhJ2gDsO9Rs5ID5O0nHIqDzPmyp5PIOelNVycYZZFPUE9ff61L3KvZFjI5KHkHqaYxYSEEfJjmoWkwhBOCDzxUZYgkh+nOTzzWnNYakeN6rqpNxJHA4L5OTjoazNJNtLq0s99LkQxmRFJ++/8K1kXD7i7EHHUhehNUPOY6pbRLtUFizfh0rlre7TZ1Qfvo35tRlF7JK0rGR2y7E8k1Yg1Aux5Y+vOMVz11c/6SVSMEZ7nJ96imnmhsxOhbb/Ee4FeI4tJJRO11Hcn1K51LRtTGs6PNJEP+XiIfcf8K19O1PQdX8N3U999pt5pXzEI48iKTuPoayrbUg7/AGO+2SW8q/u2Yf1rlbky6Fr1zb432dwhHyjGw9vpWM8NCck6kEXHETgtGdld3Ph+S1j0+S0u71pRlXcBQg9vU15jrGn+Hv7SFr/Z94pdv3col2mNuxGO4rr9NZbrQLpZCq3NuyyxnPTPUVQ8R2UV1G89rIm4pvBXnD966qKo03aMbGNSrKSu2YHh19R0z4laNa2xvdRQXigpc3Bcng8jPQCvfvHHxKk8XLZ+FtPhWbw5o8qPKJ2O25nU5ZiO4B4H4mvnux1Uw+PfDrZKM8hjcqMbcggmvXW0PSbPTFeyaYFGJd2PMjH+KuipUil8IqVWb0uel6lqnhu58AytJoDJeXMYknnt5Qod8cH2AwKj0X4g6Hc2mmXXkX9veG0MbKHDIGUYHuelcxCIrjwSkYJDLlQc5zXj01x/Y63DyTDy4rgkY7Bu31zXkSwWEqyfNTTfodv16pT2Z9h+BvEb6k5tZpGZpAWXPYg/yr03JdVxknqT618i+ENdeC/hmTIKlcjP5jPrX1ZBcLcWMUq52MoYflmvdwbUY8m1jysRq+Yu7yI+Pm5weaTcScjnjnjrUAf5QQcEt92pWKgfN16nFeirnKxCAZMhj5g4NKeoIJOTgkDjFNVwuScjd+dOZwrEgjJxkCo5hJXHBlVRztGaCyGUk54POTnBqBnbkgFWHJwOKQHLZXPriqt1E1qT8t/CBk5wKXJWNSvX+VV1JyScHnr3Ap4w4BGRnOSKYWuOJzwAVY9T1pynKqDUW9QgJLE+lIW7DOO2KTYWJsFI8jIJ5JJp5Y5BOR6cc1Argk859CO1OyxJ+bc3btmkn3FYn3HrjJz680gK4Ayc4PI703eM7RgDkZFM3cYJIJHpmouORPu5Y9+5JyKeCQMkZ9cGowWPcBiOuaXdyQepOfoaeomT+YwUliOvT60oYFwFAwR6VACRkjqO3rSg7i3Rc9R/hTFqWNzbcLnnrSq3BUcECoTu2gdB64pSeRjIx05oUrgyyT0w7ZAyTjrS78D5sbv0Aqpv+TIAYHjBPFOLjgcMM8Y/xpbEE+dq5UkAcbj3PtQWy2AVIA5B71AzAk5LDFN3HcWyMkcf4VS0C5ZJJJ+UgemaTcd2cgc/lUe47PlP1Bo3YCk9e4pPQLEu4jqFA6dKaTzxjJ9KjLEqcjPuKiLDjkdOpPaqUhMlJUKw6MDjGKrs7Dnv2yaaxIIBIOB1zVZ5G80k4HYZORU8wNEjP8oxxxnAqF5MsQoI96Y0hyPX3PFVJLhN+wygMTwu4ZP4VcU5PQNyVnIYkMajZjyGHfp7VYttL1nUGP2DR9WvB6xWrlfzxit2y8C+Lr67VI9Nt7Vj0+1XiR/pkmtXSlcg5obTIfvAD2qhqUhXSZHzt5Fex/8ACoNbhRZNY8R+GdFiYZBaRpD/AEFct4g+Huk67oGo6L4U+J3hhNe8grFcXYBjWXt8isCQD15qLJPVjabVjxT+0IYp8ySRRrnkscCp5PEuivc7Y9WsGfPIEw4PpXiPi79nX9qnS7h7g2Hg74iWSjJl0rWvJZvXELjH/j1cbovwd/aN1uZhF8AfFKKODKdQs1AI9R5pP6V2OFNq9zmlGouh9XRX8M7/ACTwvnj5XB49eK1rO68qYpJteBv9Yj8qfQn6da+Q9Z8CePvBHiJNM8X6ba+D9U8oStaXevQiVEYEhmVWOM7TivdPhd8PNZu/ggvxk8U+NNK0X4ewaeL9IrvU281oyAVecdYUHUhufXHNVGlZqSIV2mmdN4q8Q2U15bB9I0WEw2yQ7rO3MJkIz87nu56k1yH9p6ex2HT1Ksv3UuF5rA8aXmspqk8dpYWOqMP3okgnISUHpjI59qy9MaN9Mum1dbzTdRjX/R7dEWRXfurHHAx39a9yE/aadfuPPnD2a/pnqmj6pogvVSTTLnPQYlB69Mc469a+nfB+rw+J73R7V4bu3055xFPb24CsODzkkjHFfDVreTRSNutZXbBKDC8//Xr67/Zz1Vrz4jXCTRy20VrpzXCCa3Bzg7ACemRmvNzCnaLbOnDu8kN8R2MVp42vLTT4Lpoo3IYON2SCRkYHT0FYbJLGyrLHLESOC6Fa+mZdZ03UbSTQ7i1g1CP7S0okkTY2Tx1XB4rkvFF3PZ+DdR0aytbVLOZMugiMjnHozZII9q+ajVuz21TSR4mrAMdxPHc1Xfc1zkbgMjApw+b+Ibe4xTGBX7pLZPNaN3JsLE5W9mJ3KNuTXyd8ZvDlnbfEa+uUUxDUrZJ1TAIDjKsRnpnivq/nznkzjj73pXhfxy0mz1bwbZ3JmBntJeVQ/MRwwH5rSasduAk1U0PjG4ht9JWQl0LkHIcYCjsaW31WW70z93KWCHqvQ47GqeqaTp11fyXIsnjLMSV3nDHvxU4VLbSxbxqsOcAqOwrduLievLnT1Oi0lrdnmlulLysPlGcUl5dQIh8tgCSBXHT3bowWLqOmDU0U0kgwx3kkYzzWfs2tTmdS7sXLgSNpl7KpYTeUwXH8RxX3D8BvhvF8P/hDby3IV9c1RFuLx8crkZCZ9BmvjrTEUajbCZGEYlUsPbcM1+lVgEXR7RI2LxCFQp9sDFW6nu2PNxabmmaOe+OfcdaBJ8wz/LrUCsQf4sD26mnZAwCeewNYJGKTLAzz90+oppZcH64Hy1EzHAOV49+lNYgnGeM8j0pphYlL4PzZOKUOSDuGT2Gaql14BP1zTDKQScbiBnHrTYJalluvDHrz6Vt6JpR1m4Ki+0+3iVtrtJOocH/dzmua3nzNpGMe/WvHte+Hmo6j4t1HVLTVIYmuZdwRwwK8AYyD7VnV5nG0XqbU1Hm1Pu3RfD+i6OgniMV3cjrM+G/Idqwvinb+I9a+BPibTPB8zRa3c2jR20iMUKn2bsT0zX5hSeNdW0TW7uw/tfWreS1uGiZ4rl9pKnGRz0retfj14l0hRFF451m13E/LLISD7fMK8T6jWdTncrtHoKpT5bWPMv7PTQvFc/hX4keCdSk01ZMXi63dOsLTMdwkebDALn1OK9qtPAPw+GixahaeCfg3HproCZ5vE+/Zj6JWHcfGbXNVuWmufEmnalvGH8+CNvMHYMMc4rNutS8KeJFP9veB/AOtjPDvYqHHHqK9OtUnUabVu9mzGlBRW9/U838b+Mfh34c8bDTbL4a+DtWQqrLqGi6/OscnqoZVHIrE0f48W3hjWLpdF8M6glndWrwx2n9uTzG2dv8AlpGx7jsDwKZ428JeFbPXYtai0OaPw6uRNptjdsv2dj/y1jPXA54rS07wT4dTS1u/D/ivxZpMLjcjxpDcA5/31Jr0+bCqEeZP8f8AM4H9Z5pcrX4f5DtB/at+KmgX6W512bW7JVwy6rbqWI9SygYPrgV9dfBn9tnwZqHiltN+Kfh+30a0ELOmq29yWiVlxhGjPO5skjGelfKFv4C0q41eC51fxxqd4it8yPpkaBvqVXjNdtbfCf4OXtwst9OJZCc4N5LF+eK5a08uUk3DXyX/AAwU6WL2UvxP0sm/aU+CWtaNY3dkur3thbOJo7uyscPb45JwDux6jBzW7rP7Tnw80vTEuV0/xzqMLIJI3tPD1w4dSMgjC96/M5PgP8Lrq6WTTNQ0+FeC2NYk3DnqMnrXuOk/DK6u9Jig0r4keI9PiVQgkt9YMu3H91ZNwrGrmlOC91fgdVLATb949A8U/t8+HNPvZ7LQvh34yvL1VLD+0bU2wIHfa3zY98V8y+Jv+Cgfxb1KaWLQfDeheHAVxEssbTSE+/QCvoWx+ENjpNxfXV5rF9r95dRqJb3UXVpZcHpwMY9gKQ/DTwHp9nNc3mkaa3G6SSWIYHvmuf8A1hinbkudUMpa15j558F/tl/HQ+JLWa4tU8Ru7bZNPliEcb5PZhyD7/nX0zrn7SnjPVPD8dhDoVho2qXCgPbW9yZ2jHu+Bj6V86eL/EvhDRZp18KabaWixgh7xI/mb1C+g96f8NbhtRsb/VpU+dyFQNyQOvX3rqp4ypWltZHLUoxpre56ZbPq91qE2qa9etfalOgVhjAReyjH61YlfCE8Yye3SoGmAQnBBxxj0qKaU78A8E5rrimmcrlfUk81gSFIJPXtx6VzPiPxdovhXRJr3VruKARxmTYT8zYHT2z05qp4r15fD3w01rWZGKfZLJ5Bx0bHH45r8wr/AMaeK9Qn1FbnXNSuYruHyruF5NySAnJUhs8DPbFduHoOpqcletyH3Rpv7THgG8cfa49W0xv4jJbmRAfqua9L0b4m+BfEMkUeleJtKublyFWDzNkmewwec1+VtmqS3SRM0sIYH5k4x74r3/4MeEtG1r4p6dNf6kyajp8xuoLfygY7kKMdeoZc9O9dFXCQjG6OeniJyZ+hBkzJzgKBlc01pNp6YIPc1ny3SRWxklYHYCx4rHsvEOkanaXE1lqEMyW5xcB8oYz/ALWcYNebOUVud8Ls8hZwsvzEYHFZkwP2q2k2n5XwSDxgmrMjbmzxyOcetEKTPHNJDC07RgORg8YPWsq9O8NzppXcjrrbwRrt9N5wt/Iib5t8pwcH2rt9H+Fv22FrabUxvZf9UEyD69a6+HV7H+xbImZfMeFSUTLMOKtWmo3P2uK4tNMv5CHwsjYjA/OvIbpRdnK7PZhh7q9jzh/hNbWuoS6bfapJDbyt/o8jR4MbfX0rN134aam2hXNl9pgk1qwUyQEphbtB2z34r6Hvbi513S2srvSIhdgfu3ScZb/69ceJ9TKjR9W028jnjb/QLtSGZT/dPsaL099fuZc8NZHxZe3f9jeMriG5jaEy2qkRjkEnt9K6PwiBqVpPHcIWXzzjPGcjp+Fc98Ukkt/i/MjRzQBFA2um0564qTwvcS2nhua6wWD3I75zTlG0bxPPlCzNHWvDv2DxVptyqB4lm3MhPGD1FenXltDFZqYZQBIoLAt0GPSsC+Vr2WBiC3APPXmtuG2uL+7jtreCe4K4Taik/WuadWdtzSMLam5ZedZ+HgkaI8buCVcdMivIvFOmpJpl/JNIkMSgO7M2AMNnrXvWoaZf6fpRN1YXFugQAF04B+teNeIIGk8PakuMhoiPm5HXrU0FaV7ilBnW/CXSo/EoeYSSxaZCwH2nbzcHuUz0XPGTX2feaXbWPhbSpdPiMcCx+W/fPuT618k+BNZWy042ekwSXIEaINnyoMDuf8K+s/Dn2nVfDKpqN6GZhiK2hGFU44Pqa9FNRqJpXNPYKVMxCSJs9MHg0u8MSedo6n3plzE9peSW8wxJG2GBFQl9ynn8cV6a2PIloWVkyuTkg8Z78U7g8kHrVIyAR5JBPXFDMXG4E+3NSyeZF7zUG7bgnPQd6ashMmdpAHINVlbMgywyeh74qTA2EA4+nemrjdiYn5iQ30PqKYGZSWUlew9KhyCOMsOuDSl9xzkcnPPFF7IETbzuDHoR06U8dQBnbnPPFViVOM5b05zxQGGepJHIGaE9BN2LOQeMYxxmjzOSRg9jVfd849D+P407O1sDBB6n3oTF1LAkAGS2BnB9aeG4bkZIqoMYwQSemTTg+4/MOO9Ggrlw4C7jjA6nNNyozn8DVfdxyw+lND/Luyo645o0BsvB8gDuATnvSqTjIJ68NiqxkXAwNp6ninbwygbiQe+aG7gW96hRls+9ODEuwJ59ap7vk5POcjin5YLlicdsfyrN6AShwGwew/I07zCwJ3ZUdh61CMncOCfegYA+Yg/T+VDE0TZyo6tjkH0/xp7MAuVIA+tRFgQFPGOR60wbTgA5Y/w9c079wsSseO59wOtIW/eDnA9a1rHw7r+qEDT9I1C43HhliIX8zXdab8HvFd/NH9pax0xDyRNJvI/AUnUiNRZ5cX+TbuGecmo2bkA4HuTivqbRf2f9I8lJtX1y+uiDylugjX6ZPNek6d8I/AOmYaPQobuQdHu3MhB/Gp9qivZnwlFBPcyeXbwT3DHgJFGzn9K6aw+HvjXVNrWXhvU2BP8ArJU8sD86+/7TStN0+ILZ6fZWiL2ihC/0q6wBxzkdgDxUuqHKj4htvgZ45uEL3S6ZpyhST5kxdvyWnaDJaeCsWs9i+kXG8+Y+q6Xw7HqQ5B4P1r7a2Dkc5Pp2qtLYw3ELRXcUV0jHlZUDA/nV06/LuJwPn628ZQ3MO7yIZI2HzTadPwfw6VGLfwpqMzzLCkLgZZZISWI74x3r0XVvhP4K1O4M66QumXJ/5eLCRoGB/wCA8Vj2vwkitJU+zeIdSaRA6rPcIskgRiPl7DtwauVeFrpjUWeeX8vgVsxTQtfBTgIxJAP0ycVk3Hh3wKt1HenwvoUUn3o5Lhvm55yRmvarP4T+H43ZrmbU712PzEzCJWPuFFVfF+keHfBPhOy1vTtC010t9RhGoNOnmsIGba5y2eRkH8KUE6k1GO7Ib5U3LofLvjbXr2Xw3Lp3hzRozqMsgEH9mWLMyqDyxIGAPx715d9r+O/w/wBA1fxt4f8AC/iPWtcNqbPT9OuZf3YeUhftDJu+YR/e28Zwa/TdItPm0yJ7GOBIZVDRtFGFG08jpXI+KvDerappCro09pBfIdyNOSFP1xUPEyhG1jVRTPwJvv2c/jr49+JXiHxF46hOnajdRm7vdW1jF5calN2iRY2+QDA6/KowAK44fBD4q6V+zxNqcratotitzKs+iR286Szs7kbnSM4mVvvfMCAD61+5w8AePNl0mo+HfDt4uAYprO8KEnPO4MB/Os6fwjrluAlz4U1kRKcgQTBwP/Hq0p5zWW8Uzlng4N7tH4N2uu+INC8PD+17vxTDdR2rC3e5W4X96SAGLOMfKB345p+nfHXxJa+IdJ/4m9pqNujN5kcjRs1xgY3EgZyD6Cv3G8TwalJ4cNjY+Bnu73GyOO40kH9SMfrXyf49/Zg8Z+KLK+tbbSfD+l6RLcC5axl0+MT7s7mzKhyMn07HFdeGziNRtTjb5kTwTSvFnw7/AML98X6lrkn9nQ6BbWluokcXunecWXHIyrLjnoeeK+6f2PPi4/jv4h63o94PDkGoWukSSmLT4XjYoXwGIYngkN+Ir4p+J3wf8caR8ZLjTNF+G9zaRXccSxppGnubZio+Yk9ASeTnrgV9YfsifBDxr8PPj1qfinUfD+sx297pAtMPGAUGS7Fx/vscY7V11q1N0XZmFOlU9pqj7bsLFYfEk/JKtKXGf4dx6fSr2oaNdazqQsbJ2iuZSVjdVyQa6O28LajLqqzRoFLHhGb5q7PRtD1HTfFtrfywqyQncY8YJ4x1r5qm3zHrSTSPljxr8OfFfgl4bvWrdJbC5OY7uEZUE/wt/dP6VwUcbTO204Kgs3PGK/SbxC1vrvw61qPWLNbq2+wy74ZB/dQkfy4Nfl9NfxzqkscTREw4ZQ+4EHoaWLxXsI7as68qwf1uTu7Jbmx9tsJfD3kPDJKkwIkUnBbn9K8x+LtjP4m+DN/Z+HrMNrCqslrbhgrsUYHaCe5ArqTOVXIyBGh61wep+INt68e9lkJC7lOCo9R718/CpOVX2jd9T7dqnSo+zirK1jx638CLJ8Im1/xTaPo7rEfLg/5bOR3PpXzNqd7DDeulksxjJ/5a/eFfWPxu8YrLNoWhWk0g8wo0xB/hGOD7mvmXxHawTeKHeEIMf65RyQa+ny9ylHml1Pn8fUTlyQ6bnMQrLPIC5YAA8Y610OmW+b+NcEHqaz0Cx8oCpJ5XPbvXSaBbvNflwpwDweortrTtHQ4aVKzN2S3NtqcU0il7XguUz07/AEr7k8B+I7TUfAOkwyXiS3YtwiMTgyqvAI9TjGRXzVottpdlpklxq7QrbKuZHmPGKx5viFAviKzbw9bLZ6dYziSIsMea47gdhXm0KlSc7JaGmMw9ONO7evRH3XuOwfP2zxUZOQCeT9OtcL4M8d6X4w0xGhJttREYaWBv1KnuM127sAgwWPoa6+p4jHsQJs55HoOtIWbdyQe5phIPJ+Z+ophcgnOcEdPrQDH5JkVsggde9RbsHONuDwRSE8EHJ9qQ4yMAHOfrQA7J65IbGKrSMqrIz5KqpJ4qQn5uMMOvJqjqEvlaHeyf3YWJwevFJ7FQ1Z8q3+m2F5q93PJbrmSd2znGcsa8p8X6FJ/wkVmdMtjPFGCZFzk898V69u+RyQM9cmufjSS88YyQQI00yxBikS5YKOp47c150K0os9OVNHmCeGNRa2DGwBBPUEZAqvLoN3ASfsE8YYEfuwRz68V7m0DwofMgmh28ZdSKrPsILB2YE8GiWLknZov2ScTwiSzvDbFGfUEj5BUsxHHqDXPG61Tw9IDbX11Fo8jZdQM+Qx7/AO76+lfSLRJJEcopB6gjtXMnT7Szmazmhhktbhj5XmICAe6n2reljUt1dGE8NfVM85i1zXo0V0vop0IzuZAc+9aUPi/XokBa2sZl9QCCaLuxtPBd0zXtuJvDMsg2yMCWsmY/dP8A0z9D2+ldMNH0mS282KFjDINwaKTjHUEe1OpUh8VtBRi3p1OV/wCEvn3bp9HBXccrG3P1roNP8bwLY5Sz1K0CEjKNj8sGiXw7pzpvWW6UkcEc1rW+g6fD4cjRohK+4kORgkE1hLEU0ti1Tki3ZeP9ReWOK11bXoWfhN0z4/nWzdeMPEV3prWl3q+qXUJx+5mk+XPuaxbbRrG2skkijZGDFlAbjOay9c1EaLpS3csTgzOyQcZDkD1opwhPVIidSSdrmb4kvB/ZjLI6B5DtAJr6H+G8S23w2gO7BkfOTz2wK+MpLiXUteheWXzXZxiPGVXnpX294UiW0+H+mKRzsBAArupwUWjlqy0OpaQ+ad2Megqs0oJyW4UYU5qN5fn53AEde9VZGUygDOD+ldhz2PA/2kvED6b8A206OYfaNVu0gxnG5FO5v0FfA0bqT8xGSSCy8mvfP2jvFket/F+30C2cvZ6NEVlOekz4J/IY/OvnoBh8jZyO45H1r2sLHlpo8jF1Oaoa1gG+1SNlCAMDI619C/AfTprr4sz6oXyllaFuOm5yAP0Wvnux3fYgN43kcj0r7A+BGn/Zfhxd6s0ZEt9dHGDjKr8oP0OKzxE2ohhfiPoye4ZtHlY7QJG43Zrzfx35F54Hktbm0+1xSMPM2kqB6kkdfxrv1u7GIQHUjItumTnr07H2rkPGHxC0+6s5/Dek6XAlhOoMlwwG4EnoB/WvkcbHnq3vsfRYd8sDm3c9T6dhmvQPhv8AZTquqxTGPzZIF2eZ069Oa83ZiyN1U5yD1GK6TwRLCfGi2dzx9oRo0Zj0PUV6lW/K0iKEkqiufR2h2gjbynhtIGPMjKBgjtjFbbnTkQiTUo0B5IB/SvBPFs3jSzsEtPCa6et+Sd73bttA7bR3P1r5t8c3Xxg0q1juPEHiWW1hnbCwWEyxge5AXI/OvO5Kzfu2X9f11Pe56aWtz9Iba90EyqUuvKAGTOcYz+NT3uoeHp7f/kKpI+OJAwH61+Vuk2Gu6m8M02q6xJEed0t/Lg+pxu5zXvHhrw3HFZxma9vpZeoDXDbR7YzXDiK9SlvJP5f8E9CjhParQ7X4ueEbfxL8XdKuYbsuklkBK6KOQp5Zj+NT6T4H0c6TDaRxTPF5gP3scDiomXVLSVba22zAry0zEgD0Fd9oNlrT2qOsVjmQ4TJOcVrSrRqwTkrnn1sG41GjpNN8H6DZbJfsUcrxx7sStuFdtpml6bpslmG+y2bsPMkKqBnvWPa6bqN3KBPqLQIx+aOCMBVC/Xk/WvRrDTbHRfC0up3ZE17cKdklwdzAegz0o5klaMbFxoqK1M3UJdO1WeWBfIu4AMlWORj1xXhHxN0XSbD4U+IrmDTofMjtiV2LznPavdNJ0u31TVmkUvAGXloTtPWuK+M3h6x0P4ZveR6ldTvdyLCLebHz9z+AFaQu5JOJzVVHlckfJHhbx9Zx6VawtbwafEgCsyH943+FfQnhn4t2NlaLbaXCJrnuVO4j6k/1r4t8Z+GJ9Lsh4g0pQmliURXUYP8Aq2PRvYE8V2nwps9Q1HXEkVClgBl2x1Pt70sx5qdN2djpyqCrSSep9t2fiGbxFFPc3caJdKcOobPHbmrbOwbK5HPIPauCt3Gl6xDMvywudsnv71225sM3XPTAroyvEKrRXdHDnmC+r1/J6kwkK5AGOenenhyzMPlHYHFVs8sRle/qalCuwBUbeOh6CvRZ4qRIWUnIGfm596lXhtoB+uajxhTg4GeKNxCkgZ544pXKdibOEypK47Y600vlBgqO+DUI3Eclt2c8HpQSQcjjB5PvUWFcl3HgnnjjHQ0HcRjnrwRURK98Z7c04HA5LjtTjoMmzg8EZ9AOaMgvnOQOtRbsAEjIboaduPPQe2Km4WJMnzBxjOefpT9xJG7Hp0qAOSucn6nrUnGD14/GlzE8o4t1G35v5U4ZPUY9BimYPqcDgj2pd3QnLN3GelK4mPPTuO9BfHy4HPQCo1Ykqu1snoMcmuptPCfiC+RZF0yWCJuFkuV8ofXB5/SjmsHKznw2E4yR3NPDcnIOOnWvQNN8G6bbXGfEt9fW8YIwtlBvz+Nev+G7X4SWkii2EEt0ow0l+Czj654FZyqoEkfPGnaHrWrME03TL6+bPBiiO3/vrpXpGlfBzxVfIDetZ6TG3J8197j8BX1FY3mlyWirYz2ZiC4UQsoGPwqxdXNrY2L3d5c21nbIMvLPIEQD3JNSpt7GqjE8Z0v4JaBbMj6pfXuouOqKfLTP4c16Dp3g/wAMaQF+w6LZRuv8bRhm/M188fEv9tj9n34ayXVjP4vi8Va5Dw2maBGbuVW7BiuQv1PFfBPj/wD4KO/E3xOk1n8K/BOn+Ebd/kj1DVh9sucZ6iNCEBI/2+PSuqlgcRU6WXmZOtTWi1P2Uv8AUNO0jT3utRvbPTbKNeZJ5FiUD15wK8A8T/tU/BHwjdSm+8b6GywTCOedrtUhicjI3MevB7dc1+HHiXW/jT8VbuO78e+MdY1MrklJ7toocE5/1KEIQOgyDj1pNP8Ahvo0GoJearPLq18OFZ+qn2P3v1r0qWSLeTF7SctkfpR8Qv8AgpV4O0OK3HgXTvEniO0WVJLjU000WlgsayjzSrTkSTL5QdgY1bOB6iv1R0XVrLxB4R0rXdMlSfTtQtI7m2kVsq6OoYc/jX8ynjTw2bv4c3H2WzEbWy+dFH/eK9frkcc1+t3/AATV+K6+OP2F/wDhAL66Mut+Abr+ywHI3PYsoktWwOwjYITgfMjVnj8ujSgnEUaklPlkfoltBGcdutMIHT0/WrAXGOlM2842nmvGUWakP6j1pCCeOTgVzr+JI7i8mt9G06+17ynKTTW21YEYdV8xjhiO+3OKR7rxXdRlbbRtO01c/fvLsyH/AL4Qc/nTsgNi4u7eC8tYJ7iKKa5kMcCM4DTMBkqo7kAE/SpCzAEqTk+9eKTL4mv/ANpbT7lrjSdXg0TTblbISW/kpJeMVE6xMCcMkeBuOeWI9a7e/wDHuj6fpUc11b38VwSVktXi2vEw6hu30I4NKaUVcaTZ2A3Fj1PqQarXdnaahpctrfW8NzbSDEkUgyrfWvOV+LXh1pABBeKpxzIQD7/hXbaF4g0/xFaTy2AnCxNtYOuM+hHtWdOunLQuVJpamikSxRIkShUXCqq8AAVOQQ/GacRhxnt7U4/eyBkfWqk7vUmwz5hg5OD2JzTgwVGZ+oBxj19M07GAOeav6faQXmqxw3Kt5RycqcE4p04qUrImbsrnLz3F0y7Ttx2xXOS2Usly7lc7jnLV7Bc+HLCFGdUeVevDnIrnhpcBnO15FA6Z5xW1TCShqyIV4y2OCtdLtZrO5E8e26TmIsuQ3qvsa2dD014LiW4kUhDHtVa6E6cIZBubcO/HarqR7dygbE25XA61g4s050ZKWlq90ZDChI6EDGKuq26dVyAOxJ6U9bcIgYjLH17VnatdW2j6JPqepXUFjYwIXlmlbaqqOuaUYtMUpI8u+OnxQ0n4R/A/Utd1AR3V9dIbbTbEtg3MzqRg/wCyoyWPoK/NzSr5bzw7DdAqXaH+HgcnPHtzXmP7WHxyPxM+O1w1lLKvhnRoXs9KhJIyf+WkxH95jgD2HvXCeFvi5baN4D8OaPerN9uAWO9kkTKxISADx1OO1Tj8HUq01yrU9LKcXTw825uyZ9N3Mck8SGIDywvP5V4J478R6b4fguG3JJqTE7FB6H1r2DW/F/h+PXNYt/Dd9eR6PbQKEudXiCTeb5eWBVeChb7p7qfUV+fnj/xRc654+uLmZrXAiBxA+Vz/AI5rjy/Kasqnv6I9XMM6o+z9zVmZrnie71HVzqF5O8suSI9x+4BRb+JdPvJ7m4uriO1nnAysg4HvmuClmM17sYs4Ax7E1mvEzN91iSemOK+wWGhZR2sfILHVIzclrc7+/wBZ0uO/iht7tbg4+YoM8+ldtoPieHTbERwae95dMcgS/KoPvXmnh/Q0WYTtEpYgmOutklWAL5ROWO1T/wA9D9PQVjUoU723OyGMrPXY29R1fU9c1EG+mDuoBW2T5Y0HbIp9rG095g7fIiOJHU4X/dH9ayUcpEtjDg3chzPKOqjvz6mugigDWixPKltpsQ3SOWwD3xWLioqyE5OUm2zuvDGv6jp+r21/pTMiwSDb28zHX8COK+0PDniWz8SeH0vLUGORPlmhJ5jb0r87x4ttppPsmnRXV3bKcF4EwGx716J4O+IF7ofieKa2SW2iYBZ45jkOPeueVOSeoaPY+6zKGjU9WPBGetNLEuCcBu1c5oPiG08QaMt5ZsAT9+POShxxj2rZ3kKrEqSPWsm7GfUtZ2sV5GR0z3qNm43KBnHTsfeojKWA2sWx+tM3tgjOCTgAUkyuWxNvwucle4rB8R3HkeAtWlxkC3YAkfrWtuyeATjOfauO8cT+X8NNSIJ+dVAx15NZzloy6SvJI8BEgdpSHBUEAD14ra+FcPnfHLXL4g/ubAIDj+83/wBauUiYLPJt2YLZP/6q3fhtqH2SLx1qKxzyziHZEYoi+MKx59MZzXDhb+0O3F6QPX/FWqXM/gfX5dNS1jtLezlD3cybg7BTkKP618IWs17EySHV7+SUDJPm4H5V9heOtesLD9nHUrSJbi2mk05Y4EmiKeaWxnaehPt1r4guNUZJCkKGWbaQwBxt+tejKm5u1jnozUYttn1V8HdPh8ReG9Zn1nzb1UuFjiZnwy8ZODXoer/DvR7zSLqG0M9tcmMmFixdQwHGQe1fJXgf4v3/AIR0a60xUs/IeRpGmZMszAYAqzN+0j4sa5dLf7KMklSUxj3P+FdMcv5lscssdrufSMXgDTta8GwrNeSvb3VviWKeMP2wVP4g81xVj8NYvBGkXFlP4rs5NLSRpLRL3AeBDz5YPcDtmvny7+PXjqLQfsdjNb2oUn5xFkkklj+GTXll/wCI9a1m/a713U7m7u5Xzh5iQPXjtWscqvFxeiMJZm4u+59Sal4k8MacZUj1eyvNnJWFiR+FZN14/wDDwt4447qQMmBkCvluXUkSSRI3+b0B6/Ssma9u2DBYVl5yCHpxyOh1uJ5vVfY+0LDxh4anntEbUYAshXO844zVb4w61peoXGgWui3NrcWdtC+WgYYDHHH1618fQ6jJDbuJ9wJA8vLZ2+1SSavcRgxwXJcNkqRx+lXSyqFL4WZyzKUndo9s0RPO8T2icsFYMCO1fcmnkw+H7OIf6sQrgenHNfmFpfinVtK1SGa0kXzIjuy43A+30NfWHhf9oPRNUNpY67aS6RdsArSK26HOPX0qZ4SUXc0WLjNH0l5vz5+8CePQVTuLlbeylkLbdkbNj6DNUra9hvtPhu7SVJbeQbkdW4YVyHxJ1j+yPgf4m1CN/wB/HZOqBeuWGAR+dRGN5JGil7p+cuv30ureONY1CUtJLPdySMWOcjecfpisUgkoq5Y9wDinkyICzBg68E9KZGWe8Uu4OBuOB1/CveT0seFN3ZtICECrl3BChR/EegH519+eDtPXRvhrommgKfJtVDKBj5sZNfEHgjTl1r4o6JYsPMQ3KyyA9lT5ifzxX3xZKz3Eu0t5USbmxxgCvOzCpyx9DuwUGyvrl9GIWXgRRJlq8VUTSX9xqMpCRSMTEoOa6rxbq6Q2VzGssYeRwrEnlBXl15q0skS20LGOALyyjr718taU5OXc966jFI9eaUklQoVgOATnHtVeC+e11GK7DMhjcEMvB49KjaQnJOd4OenWs6U5BzlfTPfNexdPRnJF8rufTUFm2qaZbXMOoysssQli8zDfrXlHxA0m/u/DOpmWC3u7kL8h5yAO496u+HPGFzZ+GLFNiyQ23yHb1wK7CfxXoOqKyyxMgKcl17nrXhvG4eNRw5rW7nvRqKUUz5T06/ktLAjLAoMMSMAEV12k+NprW9VSC6nk47UePNM0q1ma/wBEJlgd/wB9AvXJ/ixXl8OrWe4rHEEmXhw3B98is5Rp1W2nc9ehiLRWp9d6F4u0rVrKJLoeXKRxngivYdH1zT4oI9iSyybMRpGM5r4M0zWfLkQs2CAMc4IFe16B4tEfkiWQj0I7VyXq0dInalTrr3tz7D8My3l9qLNcWv2K06STNICQPYdya1tY02z1vXYdMj+0rnlpVckgdq8KsvGWoW9tFJBIkkMSbgoGct6n6Uun/FHWba5ublJ0E5P3iBxWNbM6FPSab+R5uKTo6PQ+kPC3hu50c3Mcd9cofM2KSAxI7Yz0rxn41Wuo6vJeTwXbyabomI5EnfmWVh8+3/dGPzrkdV/adi0XRJLN7uGXWQCMR4JGe5PavE9S8enxxJbi58TNvgLymyRDHFMx9WPLke/FaYXMXOrFwg0n1f8AkeZiK9J03G+p3/h/R9P1zwRrOj3sSzW97aHfvPA9/wAKb8MLOz0zwrBbJIk5ViplHBIBIH8q8+034lWeiNmzs31UIjK+2TYn05rivA3xJhk8Y6haeS2nxC7YrA8obywxzjPpzXtZxQnOhdLYfD2JjTxFm9z7Nv7fzrXy1+YEfLjrT9L1q1j0VxqVzDbvbtsZpXwG/wAaytG1WO90wHcCxUFTnrXi3xMmFhrOn3LktGZSGH614eS1HCvy9z6PiGiquF5+sT2rUfH+hWa4haW+dRkrHwpP1NchffE++2t5AtdPhweWG9xXzvdeIAzPMJEighHr95vSuMv/ABdb/bZ4prz91D81w69s8hBX20adz88lJRZ9EXfxEv5i0smqXBTGDt+UGspPiXe2MpkOrTRkdBI+cj3Br5vn8cAFbySAlQcW1sT6fxH3rlJ9R1LV9ajSRJUMjbvLHJYnoMe5rdULamEq2p+mvgPx1aeL9LlQvCNQhUeaFPDD1Fd2wALF93HpXwN8IfEcWg/G7Q7BrsyRPcCC/ljGRvcH5F9ccV99yjbKDyQMgHOAPSuOvHlkdMHdXGDdgHO7v+PrT93Yk49M1BkFtx696eTjAI+bqa52UiVmGTkAADnnpS8l85bBOQPWoF4wwAOetbmi+H9a16/EGj6bd3756xIdo+rdBS5rCM1WwNuRwOv1qUbslOvYADJr3vw98BdQmRJ/EupRafFjJgtTvfHux4FenWGi/D3wfHjTdOg1DUE/5bPiV8+7HgfhWUqq2Rpy2R81aF8PvF3iEpJY6RcRWx4M9z+6T8M8mvTbL4RaLpSB/FGvNPPjm0sF5PsWNeiX3ijVNRPkxt9kgJ2rHFxnPTmuZnDwXjRyOPMzzhs1jKvry9TOVSK0LVpFomkJ5Wg6JZ6f28+RfNnb/gTdPwqOSaSS6MkjtKT3c5NVzKoKLwC2cZ60/dnsp79Ki7I5rnN+KfFmneEtCN7qMGpXXykpb2ds0sj4Ge3A+prxfwx8dr7xR4zs9PtvhF4wliu0LrMkUeLdQcfvixAU+2Sa+jQiSPteNZD2OM/StS0t4TPCyLBbJkq+wAZbHJOK0jJJCOE8bDxHZfBbxVJ4NMGneK00uWTTGlj8yJJwmV3KCN3PYEV+B3jb4z/FH4hXUieNPGvifUItxD6dLeNFBC4yrxmKMgHDBgQxbpX9IV/H4XtPDN691c3smpkAwsHVLeIdy5PLE+gr+d/9pzwjpvg/9srxbHoEsdzoOoTLqVm8WNitKT50Y+jjd9ZDXs5PZNpnFjG1ax4lAYLdBGI4hGDwiqFVc+w4r6c8NXUNz4csfs2nI1ykYSR1UBSR3r5q0q2F3q8EJjVnlcKuegz3r6R0S1i0WNbKF3k6B5XP33AHT0HavpaKvIeDTep2YWVpXWd/JfZlMAY+potroqrIsQJHVyOKq3MzzWaTkBWTh1Hde9Y7X0dtdlXlcjOQDXbZJnp3OsD+fA6u25SpyMfKR0rU/Yz+I5+CX/BU7StM1C6Np4V8XK2h329wEDSEy2khyP4ZPNj6/wDLUfhw39rnzVWGKQt1RiOvtivKfiXpd7c6PBraO9nfRN5fnRsQ0Rb7kmR0Ktg8ciuXGUlUptGGIjpzLof1hLygIZWVhwQcgj61yvjOcx+Eord5pLS2u7+3truWNiHWGSQK2COVz93I6bq+QP2d/iX9q/ZH+FnxT0a9up/Aeux2+meJ9FuLlrhvD+o7hAZInb5vL875HRumQwxgg/YniuxfUvCOpafC8UM11F5O9+VQ5yp9hkDn3r42dPlepSleN0bVvDFaafFaWdrHaWsS7IoUUKiKOgA7VieI9ZOkaETbMkmrXTi30y3XkyztwMD0XlmPYCuTl+IVp9jgsxbST+L5pGiTQ2lCMjrwzse0I6+ZznIAyTitbStGuU1ka5qshv8AXGiMYlEe2GBD1jhX+FfUnlu57VjKKTKVxlz4ckg8GaZaaRKRq+mP59ndyjiWY58wv6rIS276j0ryP4g6rJqqwXJt59OvEj8u6tZVw0Ug6r/tD0I4Ir2HxB4x0/w/NaW89xbyXVxIESNMuUycAsFztGeMnAzXn3jgtrNgktykMLREqGB5P1qXruS79D56i88ajgEiQrxxXu3wysdUurzUGjv5rS3jgAYJj5pT93IPVQM15HIIre/LEfP6n0r0fw7qd/beAtXXT7k21zOw+zrGu5pGC8HPQL29a4FD39jr57w1PfNJu5L7QreeZQswZkm29N6sVOPbIrTxwM9e1eCeDvFHxRvfBx0648B6R4e1CK9ZIbqfUA9t9mxkPtHzmUtnK9PevT2s/E8kQI1fyHxziJSCcdRxxW7Zinc63gd+fUitfSP+QxGxwAAfwrzaLRPE8kytN4vvVXd92K0jH4ZIr0bw9EbeaOG4ne7YRkGeQAMx9TjitaUrSRjVb5WdlIdtvLuUcrgVyLR7LpyoAy1dhLCZbR2Q5wufrXLyLKJTnoTxmu3FVHyo4qHUhuIi9sWAPTpiq5GIo2Py/KRWrO0aaa8skghjQbnZzgD6mvkn4uftP+FPBOlXOn+HpYNc1iPIafP+jwn0yPvn2FcadzohGTeh7l4v8ceHvBHhy41bxDfR2luq/uosgyTH+6q9TX5o/Hv4+ax4s8MajdMzafokQKafYRv95zwGc9zjn0FfJnj349eIfif451W01G/1C2vVk2x+e21pF6goo4CZ4Kjnoa8u1bU7z/hFltru7nnAbe6ytkA9MD6V0RptWub04JtnlniXULg+exlPmTZ+fqQa6qwuJdX8P22pQaTcgTxBCzOoSRk4LHPbIrldU0W/vNEGpzQSW2nGQLHIflEp9Bnr9a9A+Hunz3ngw2N7L5lpazlrSEdAjHJB9ec104qqqdG6N8NhXOslJaM9J8JR+FbGw3a5pl74m16dRvSMl7dPQcnaMeteR/F2bRx43Go23h2LQJBabJLVSu2ZgciX5e2OPfAr6C0wxW0RjWJVA6BV7V8/fHO13y6TeRYHnyfZ2PXqQQK8LLayeNTb3v1PazLDqOCaitjyPRxcjbd3Gny3ds5O/wDdHYxPYN03e1epeKvhfeeCPFNnZX4ExubKK9gB4KrJztPuK9H+HHga/wBd8KQaVPqVrDBpMX22KGQcSu0gV14/iUHPPan/ABt8WR+LPjdq2oadKTY2sMWnWLescIIaX8WLY9gK+lqV9dD5qnh7L3jx+RlSAW8BAVeZmxj8Kx/NaW8DRjbJj90p6Rr/AHqnvZ4RFFaxE/M2+bPUgdvxrlZ9UZ7qSKIH5uZXUc7ey4qqUXYKk0jsIL61skbcXkdmwZBy0h9MVdMFxqhjOo70s0OY7KPhW93Pc+1eajUbqO9Jt4Wmus4VFXiMemT3rfVtavF3X95cQRg48m3O0YPqaU6dtRQrXO+XdbQhIIwiqeNqYA+gqJr9d/7z5ueuQK4WSf7MjLE11uJwTJMWApouAsMsjsSRyOe9RyNmirJH1X8C/EEsPxTl0IzSPZ3Vk8kak8KykZH619amUhjwcgcZr88fgnq83/DSnhpMDEplRl68GPJ/UCv0GJAmDA7QBycda48TDlY6c1JXRaDtkkLhc4BqJiVctggDuajMhwRyVA6+9RszbSATnHGDwa5ky7XJzIwQhRx6HuK8/wDiLP5XgLYW2F7hVznj1ruQzbt2O3SvL/ibKP8AhGNOhOcvdFjj0C1lXdoM3oL30eKK5UTMeTjJOK9J+DRS38Ca/c3DKkct8cljwVCgHNeXSy7NNuXXO5Yj06iuY13/AITaP9nzR38G3cYaO9uZdUsJIm3XKHOwo3QkHHy5rmy9RlPV2N8Y2o3Wp1vxY8Yh/A8fhbTvEGnabpUWoIW1O6AZhCORGoPV1PAb0xnNfJuvaxpcfiCe10rWjfWbfM83Vpn7sT9fSuV8T+JNe16WGx1i0a3mhfIi+zsjKR7GsW20HU7kK32VoEPR5SFBH86+vpUEony9XEO50E85az3hyy5zn1FY9xJMqb1kwrDjB6+9dDp3h67dnt2vIJZD821OdoHUmm6h4Za2hZmLCJV+UdM1oqkIOzJjRnOPMjmxqVxJaPG0jSIOduO/rWPJLJI/mYcHPr1q00wildYgi9jkUq3hZF3ou1TyCBzXSu5zsp7pI5DnvyADzT/tkgBVt4x056GnPNG+7ai72HX+gqOV1jby87gRkkiklclC/apCHBZiMd6RZiZUXd82fzquzIW+U4P1qSMKEYq+Gz8pNFkx3uS/aXWQj5sjIx6083MjJwSMDrnkVAZlEg4DnHNRySqU2dAeB7mixSZ9CfCv40T+F0TRPELSXWhmQeXMPv22Tz9V/lzXuHxp8TwQ/AOC70+VJlvb2DyZAQyMAQ3OOo4r4DYtvLqxJAAOexrsNM8TXc/hGPwreTPPpkc5mtUbkwseoB/un07dq5Z4aKlzI6qNd25e52El6bzw5davq2j6Ld2n9oLPcyQzCOdl2gGNFPb8a82vriGXW55rWPyLZpCYUz9xSeB9cVtXGmgoAsqsoXjfVFdI3XQZp1cHJGBwTV0pRs3c0r4OrF2kjvvh5NHpGuT6zfwTqUixaNGRlH/ve4PTFfWdl4qWT4etqkCOqTxHcG4I9vcZr5B0e0Zp4kmvPLjAysfmBSxHYe/tX0bZ6Xdz/Dzw/pkKTrFJCJJHZMDJ968XNpXierhKCjBdzzrWrmUSRvchiZyZSxOQQen6VlGUyWyxoOT0HT6Vqa9JBJrF1atKT5TeXGoGSAvGRWIC0bRFwUCdcnqPWuKHwIKl3LQ90ZztyTwDn3zWdcSfvCTkjHUdhU7guzEbSo6gnk1Slb5Ryd2eB6V1uxKV0dD4dkdpr2JipjAU4Jx+NJq2r2dlceTO5jZh2Pb3rlmumgO4tKob5TsHze1ZV3ceJ9MuZW8i11e0JypcZZfY18pmWBUq7m+pvCo4ot3ut6VIrA37Q5OSwPSvMdffTIrpbqyvBdSFv3q9/wD69dK3ibT7i4P2/wAF7sE73WEkH3xVka54eaB44/Cmo2HH+tjs8Nj2Jq8NSeHV+X8hc8pP3WcdpupJLEvlTjcDl1J5HtzXY6b4glgukUsWUHKqTxis6G08PXNwttY6PqUM88nzTBC0nrkCtJvAXiCa5K6ba3N3arkySzDyxH9WPFdkq9GbSejZ72Cq1VC7R7R4X8Y2s7JG8ogfABGcg12er+HbTxJZ77bUZrJiMukD7RJ9a+WotM1uyvTCIAFVzlzKoA9we9eo6HqOqWVuDPdwgLxtWXJUVz4jKZSd4I7p4/Dyjy1WeteHvC2k6VeR2Ufhs3Vwf+W4iDOPck9av+JNP0CPVLS0XTNNutSM6o6tFzApPzM2O+O1c5aePIYIgr3BYjGDvwa2tO8X6FDodzCbKFpZ2LvMXBkLE8nNeHVyPMFU5opv5r/M81/Ur3U7/I+ePiTb23hj4r6npVqhS2ws0SocYDDP5ZryG6guUvbG/wBO8uJ7fMlwyNgyZPevpbx34XtPHHxAvNe/tc2L3CRoIo4g21VGAK881D4S64NKnj0XV7K6lfjE/wAnHsa/QsrjUhhYRrfFZX9T5/Fpe2cqe19D3H4J+J28Rolo0oPkKC+DnB96vfHXTLmPwRJd2X76eJvM2gdAOtct+zv4QvvBn9s3OtwNDfXdx5cSM2QFXjd9CeRXsPxVsvt3gDUhHvMr2rquzrnacV8piFChjvc2TPvqDlXy29Tdo/O6fW7mSJLcTsqof3e48Ox/iPsP1qnDJDJIqHfPGhLHcfvt3Y/4VzjP5UZD5UqNrn0I4I/PNQXGoEwIiErFgZI71+hRguh+W1J6m9eaxGbzzlmhnePrGo46cY96kt9duYiqwuXvZOZZweYs/wAK++K4uKIsxkMj/PyiZwTz69hW5p8TKd6LjbkMcdK0srWM+dtntfwqj+2fHfwlAflQ6krAZ/uqxyffiv07aVHw27eD02mvy9+FN1ZR/HfRbi+nWC0t1kw7A/vJNuAoA5LdeBX6jeBINA8TXEMOpeKtJ8JWqbVkl1ZXhdjj+BWAz/KvIxqtI9PC6xIw+Rxnlvzr07wn8J/Gfi8JNa6Y+nae5Gbu+JjXH+yOrV9NfD3wR8JtLhiudG1PRvFGp4/4+57uOVs/7K5wte6rt8tcDAxgYHH6V5k6vY7FTPm/w/8AAnw3otyra3LLr94pyVcbIAf90dfxr2C0s7OxtVt7G3gtIVGFjhjCKB9BWtfYF6eQARwKpKMt0O4+g6Vztt7mvKkfFn7enxC8S/Dv9g68ufCl/Ppmq6prNppzXducSRRyyqr7T2JGQD61+P8A4W+P3xb8P6PMtr411qe93obOC6UTRuM/NuJ5zjpz1r9ff29rrwk3/BP3xFpWv6rp1pr0siXPh20nceZd3cLCRVUdSBtyT2GTX8/d5qd1YXLLDOXkJARlGDyeo/CvdyyhCdO0l1PIxlWUZ6H3xp37bfxT8MW8R8VeGtI1yED940M3lSgf7p4z+Ne6eEP26Ph14htkTXdD1/QJpCFL+QZEDem5c1+Ss3mXml4uHnadjzuYn35qbSJZYLkRS3jwKGypU42n2r1sXl2Bl/CTOGGJqfaP3p8NfHH4TeKUT+x/GmlSTNwI5Zwrj2wa9RsLqO9uWnttRhu7dkxHHCVYA+uR1r+dsWZu9TilWWOSd5MmQfKwx3z2r0Lwr8SPHHg3WLe60LxDrtk9q+XRbppI3UHoUYkY+nNeNUytW91nVHEXep+/LvFbpvuJY41HPqa8Z+IHxn07wYfsdnZtdXzLuWWQ/J+HrXlPw++K5+Jvwf0zxCkrR3DL5V7BuwYpl4YH69RXKfEmCLUPCDXGQZ7ZwyseuDwRXFDD8s7SN5S0ujz3xt8YvFXiSRxcX0yQHkRqdqD8BXxt8W4LrWtIi1WZmnuLZvnY9dh617pdW7OrFE3Z6knArjdX0+2msJ4bqUNFKhRlTnrXq0Eoy0OGq7o+VfDN2kHizTjKT5STBnHQYHSva77XQb+2eNxgwuR9R8w/lXhTxnSvGc1u4z5UpQBu4zwa6I6gxjtX3ElG64619JhZKwqFdxVj6Dt7+O7htrqNw9vdQg88AHHNU4rKI3TyTM77Wwc9K4TwdqTXenS6cxAe2lLxD/ZPJ/I13yyrHKXkcMSOT710yZ6lOalG7NlDEkQYIFK9Mdv/AK9ZOrRJqWg3djOVMc0ZXB9T0/Gue1DxbptkWhSZrmYElkh5P59BXP6DL4/+JOsy6Z8P/Dmpa64bbJPZIPIg/wCuty2I4+oJAJbHY1z1K0UtRVK0UrH0Z+yL8Q9Xs/APxh+CV74s1nRba700an4f0+ERiO71A3CwyRMzgkFma3ZVXBOXP0/cBPDnjkaUkf8AwszxI7+UodbjTrWVcgDsFB61+CngnwFYfCD4taP8Q/FPxC8P3/jzQb9b2y8PaNGLyCKcKyf6TcMPmIVyQFC4PPNfV6/t7/EKK+1BE0/Q7q2lgZYnuARJAxyPMXH3yOuOB7185i6bqTvE5aVZR0Z9ceItRfwv8ZvGvijx3NoHi/RtItLKK7vhu0+8tEbeTFCVJVpF++Y8gtuHtX1JD4L0XUNNt7y01jXr2wngWWGOTVZXiZWAIOM9MGvw68c/Fa6+MPw/8H+Ctb1iHwZ4Z03UhqFzPpoZ7i9lIZXluM/6xiGY85wxB7Cv1z+Ffxw+D994D0LQdE8eaBJNb2UcMNtNMIpNqgKMBvpXDisNKEUzpo11Js9OvtD8jwlqek6bBZ2Ms8QeCRYwA0yMHQM3UgkY59a+df2g/wBpjw18J/gtb65faENb8X6nefYrTRHjKi3mCF5Hmb+GNME5H3uAMkgH6zN3DqDQPaT21xGx+9CwdT6HivC/jd+z14P+Mvh20tvFdtPcfZpC8UkE5ikjY9wV5rkoySkufY2nFtabn4a6r+0X4t1DX9WvX1K9E19cNPKsty3lqSchI0BwqAcAZ6DnJqpoH7SfxS0vxDE2l+NtT0q3WUMI0+aHAIzlTntmvuzxF/wTV8NXLSN4a8b+JNHB58m5CXSn2y4J/WvNZ/8Agmp45iYrpvxF0J1ByGuNLbd/464Fep7fBtf8A43TxCZ9ufDH463dtqWgad8R9U0nUtK1aKJ9N8RWOFU+YBsEq9ACTjcOhr7riREt0VGO3sS2civyc8EfsIfEex8I2nh7xD8SNMl0OJyFFrZMsqITkomWOO+PTNfqnoumNpfhvTtPed7j7NbpCHbksFUKM+/FeRifZ/Ydztjzbs2CBg5Ht1q1ati4GCOmDVbIUEsyqg6ntXkvjb43eBPAqTR3Wpx6jqSDIs7Qh2z7noKxhK25XLzaH0BDfNHE43jGOeeleJfEX47+B/AFtPHc3yapqyjK2Vq4Yj/fboor4F+I37U/izxUZ9O0aYaHpj5HlWr4cj/af+gr5dvr681OZpLy4mm3Hcw3cE/1/GtK+KiopMujl7ep7/8AFT9qDxb47nn0+2uDp+jliFtLRyqY/wBpurH9K+a5d9/OZLq4aRz6nIH0HapRZwE8jnHBK9a17bT4mjAXYSR9K82eJcj06WFjDY8c8T+GrMfEHQ777BPfXDsQYoJNjvjvnsQMjPvTre/8Par8WNFsrvwxp2gaJpxeXUFnuXk3xIMnexwWYnGB3Ne0R2Vta6pFdyKrTRIyxk/wg9a4rxhZ6VqcFzOkFvDqbRlYbpkB2e5Hf29K0ji9oNv7z0KWC5U6iS9LHz58UfiGfGPjO2tdKii07QYJQlrEqbGK9sjsMdq6vwDfp/beoWse3CQow5785rw/U9KuLDx1bWjZYxzEls/eGDz713Hw81AP8TrhB9ye1fHGACpFe5Vw9OOE5ae1jxI4ytPGc1Xe59NWDh2UHIDCuV8deG7DW9Fs7a+uo7KGK7SZrhwSIwvJ/wAK2dOnUXSAOAMcZHWtjWIYrrRJIzlw64bAr5SM3SqqS6M+q9lGtScX1R5oniyfw94bi/su5iiuZLZoXIQ+aFK7GLZ6FlIPtivIbu9jCsAygBOmfuqB0pviq9jtPFl5bRO4RGBCtnI496403M88hijXc0nyIOvU19fh6SUU09D4vFV3KbT32DfcXWqkJuJZSc9l9/pTY9CgEspGsvFvOZHjj5OPeutSxXS9LWIqouxzLvP3v9ke1ZF2EDGSBScAloenPrXWqnY45UrbmC2h20cwJ1i8kwOqLUP9qJYIY7e4vbqTOAJBgD60t088zKYQAp6lWwPes8WbK++ef64Ga2jqtTB3+yW47iaaQucgkUt3MEtUjO/czADJqSGFiCVV4ol4JYY3VjancZ1FY/8AnmpAJ7U4q7MpSaWp7R8Ari1H7T2lT31wttbWlrPMXkbA3EKqg/ma/ROPVdNuIQ0OoWjK42grKK/Nb4Y+G7+XTLnXvIZorj93A2f4AeSPxr1LytStyAsVwm05BUkivAx+KSrNLoe1g8K3SUn1PuBJUbJDxkHoAQaUkDcTkjGcmviOPXtftpR5V7eREdhIa1IfH/im0IA1WZvTcM9K5ViTo+rs+xyy7c7wteO/E6f97pcQbgK74U/hXm9v8WvE0IHnPbTp1+dKZqviq48TWsN7dRQw+UrIfL4GM5zWVevzRaHSouMrswtRlEXhq7kYr93kscfXmuHufjH/AMI14JtNI0F7pbyPIdzKGhJPXCEd6818f+OpLu5fTNPmYWsZ2t6yH1+leL3F/K24B2LdWYnke1ezlmUpQUqnXoeTmGYvm5YHdeIfHWra7rZvtSkhefONyxqpx+HQVycuqzTSZMsz5PUtWGWJYbm59RV6wh+161aWkjhYZJ1R2B6KSMn8q99RUUeG25PU9U8E25XRby9nV0Nw+Edu6jqR+NXPEF7EuiTGU4yMJxXX6xbQ2kUcVkI0s4IAkagYwAK8X8TX7T2qxIcx5z/+uvHpr21XmPpqsVhsPy9TiZXJcPwSSQCDVcbmdenJp2QJOcqD6Dp9KYZVXGwc57V7idkfMSdyUnYSRz/WoyvO5iC3amElnAG7n1NCndMAMbT14qr6CTaGMiq2BlmYUSZYtwAw6DP60pcmQYGSKG5lJ4bj8qS0AhBO7BI3ZpWJxjrnrQwK8ggHvmm87dpyCeuefpVXAcWBzkkH1A4p0UpjuElx8yuD6d84phYgEO3H04pRl3UY3EngUnYcZWeh6VIYpIh+7JbbuUY5rDSaIX8mZHXfxDt6L9a055xb6F5jh1nYBYmXt6mt7wD4QufF3jY28YYwWwWSVgOWwc7frgV5dCn7OLkz7nOsd9Zkow2W5FqGi6hp3hfTDBbtLeXtq8l1C+GEZz8mO/IzX1/Za5YeH/2freK5I+0w6aqQhudhxjJ9815l8SNAjj8DXGsSQ4mtY8wYJDIvfGOpx2NYniO9nbwvptiHVzPCjOqnkqBnOfevJx0vaKPa558J2RNpemWctk17dsJM5OV6sx6k1an0C0uYVaGQAr1V+DzWLYiaxsoYWZcOQSgOcD/CtB9QVCGy3ynIyc1581NSutioNdTsvMLRblG9ffsfSqkjrJHlj0IJA/zzTt2CFwePvA9qjcnkHoD0FerJW0Rza3Ktyp2OisQSODnJFb2lxLr9jEsUwtdRhG12LYB/DvWHLkvz1K8EDjFZ9rIbXxNb/vGQTMFyGweTjP515+YYV1qWm62NqMkprm2PWLLwy8F1vvpZL6QY2IiAA/hVm+ksbW/+yTqk96y8WcKhmUe/p+NZeqeKtP8ACltpdnrGrymTUpzAl1EMeVhSTz+ma39Is9NsLGbVnaJNNUF2lDbvMPu38XqTXw9XCV206ju/w0Pp6NSklaGhKtpoPh3w/L4j8StFp8SpujsoAFJz03t1OTwFHWvCvFnxRv8AxDdNHC407S14t7KM7UVf7z4+836CuH8e/EW48WeNZ2gkdtHtGKWkfTzW6GQj9AOw5715yuop55EhLvu4jU8AfWvusnyOFJKrVXvdPL/g/kfOZhm0pvkg9Pz/AOAemjV5nO7zRISMZfn8ah/tacycSk/7nO714rzg6nLuIjIVAeRnJ+lMGp3PmgNOyY7IMV9GqKPGddnqEV9ds2EimCj+LvzWrH4imt5DC7pI+316euT6V4yNQnYYFxPnBBw55NU5bybzjbxNu4+Yk/KMdSaapK4lXse7w+N2hvQ4lVlz8u1uD/8AW967Ox8YvPGH83b6kHnFfMEeoW0YfB8+Zv8AWStwFHoKS3124juv3DSKgODk9RRKimafWdT7MsPH8+nSpJg3EKsNwzkj3r3W917S9S8IRyyXCCV0XYmeDmvz40LxFJ56rM28DPyE4B46E17/AB6tAvwl0q3uZwNQMaNMufmjGeRivmc3wUXOM+p9fkGOcqc6bei2PA/iN4G1jSvEni3Wbe1D+GbBhOb0sBGxkP8Aq17s2e3v1rx+LfJcAsDwfu+lfXfxieW2/ZC8P2Y80Lq2tpKxbjcineMj6LXgngH4deLfiH8R7Dwv4J0C/wDE2vXZBisrVCSoPHmSv92KLg5djjggBjgH6HBVH7BOfQ+RzCkvrMlDqzDsbePe88hSJUUlppDgIoHJOeBX1V8Ef2Uvi/8AHJYdR8O6KvhrwPjcPEetxtHDcgjrbxcNNn+98q8ggtX6Pfs6/wDBPXwl4Jj07xb8ZWs/G/jBNk0WioN2k6bIDkEAgGeQHHzvxkZVUyRX6URQW9vZxQW8UUMESBY4kUKqDsABwBXHiczUXaBtQwT3kfnJ8Df2ej+z/cm7uPAPh3xl4jQFG8Q3RzcBM52xqQVQfTrivreP4g+GrqPyvEnhH7DnhzNYpPH+YGcV65cWUMxyGZJF9RmsS60a0mYm4s4pP9pVrzKleU9Wz0Y01FaHnx8MfBDxVl4tH8LfaGH37Qi2mB+q4INSj4VRWTmTwp8QfHfhwYysa3/2qH6bZQ3FaN98P/DWoKTLZW4c/wASgAj+tYb/AAze3O/RvE2vaM3VfKuiyA/7rZFY3Bq5Ybwd8SftsEcnxpkW1LbTI+gQvIB+HGfwrzDxFoeq21zPH4j+OHi6K3jYrIkDW9kGH/AU3D8Dmuu1fSfidpOjXEyeMrLUrOKNmYz2KrNjB6MO/wCFfAfilr661maa+1Ga8nZyzvcsWZj6114agqj1djgxuLlRskrnofxe8EfAnU/gb4humtLX4neMbazkbR7fX9ZkuWmuCPlUs5OxN2CcDHHSvjH4X/sdS+LP2frvxJ4y8Z2nhnxKLp4re1YRyL5SfKJZAOhkILAA/KCB1Feorp73N8AupRLH1YpFXoGkadHGz6XbXhSa5UB5ph/COcAep9a9eNH2VNqLPJ+uOpUXMj4K8U/AnWvD+tXVtaeJtB1oI5AcBoQ+PQkmvMrvwJ4mtrxt1jGzKcFEnVi30HcV+lPirw3pmleVca4ouVmBEcrSKVf29q8J134e+DNe1ZrqCeXTJj1kivAvanTxLWjN5UL6o+LnWaxv5Le7jezuFONjnaRVqO7ljYgStgjHPOa+nbj4aaolk1lp2teHdas8NmLUlWR+e28c151N8KIdK/0jXLKXTIMEE2WoBk9iA1bqujH2cke3/ssatcLo3jaymlK20U8E6kDgMy4I/TNezeMPE9iuizRb4gWGC7t718g6P4v0vwL4Nu9B8GedeX15cGe/v7l90khA2qqovRFAx9ea4HVdZ8Sa9ern+19WlkwVSCFhGoPTJ6AVySpKc+Y0dSXLY9f1/wAe6TBPJGlyhKnlgcKPxry+fxJea9cOmnI5iOR58hKJ+A6motN+GHiO/lS61WS1gUYK25XcFPvzgmtbWdP0DwnHHb6vql5dXbDK2dthSR6nHQfWt4pJ2MZKXU8q8a6P/Z09ndNepezyrifCBfLPbgdvrVLR7D+1FghglZpghLKRgDHvXXy6pbeKb1fB+n6JFa3GoEpYOrjcZlUuAx9wDXL+F9PuI7yf7d4gtfCUS5SSSaLzJ5MEqyRr3bIPPI+tenQq8i1JjozpU/s/w3C19Lq9otxEjLIjPhM+hNbejeE/iH8Q43urKzj0fw2DmbWNbl+w2Ua9yN3zyevAwf7wrMs73QfDWpWt3o2mNquqRszHUdYj80uT90qn3Vx/Oq+veKPEPiSZH1u/ub5Ff90jP+5Q/wCyg+UfgM0q2JlLY29tfQ9GtdF+CHgaVZdVe9+M+uxjiBwbLQ4nA67Rl5xn13j6VW8T/Gvxr4l0ddEivbbw54XWPZDougQiytI4+ykJ8z+nJwf7teQSmbzSrrKGf+8CT+Ht9av6fZyPdblQyOqeY6jBIA6n0GK5+S7u9WRKq9kdTpxEVlGhGM42KvAHqVPb6AVc3ugAjBYAE7Qn3sHrjqPxqTStPur6ZlhhuLgdA8eAjZ55c+ntXpmk+ClaMG+nTYxBaGA7QfqeppSmkRFNs4/T7G7uLhWhiEpL8RIoLBSPvZ+6pFd1aeGbtbsyvcfYo3X59o8yToOAxHHTtXoFnYWGm6RuhgiggQcMcADt+dctd+KbW511ND8NWOo+JtfY4FpYwmU59wOFGf4mIFYSqG0YM9D8O+MvEXg+zj/sHxRr+lpFyHGoPjP0YkfpX0B8KP2sfjB4i+OGg/D7TNa0XxFPfzYkk1i3wtvEBlpGZOcdhxySK81+H37JHxR+JN5bXfjy9bwro7kE6bprbrl1/uvLjCcdkGR2av0k+En7MHw/+FmmRjRNFtbO4ABknI3zSHrl5GyzH6mvPxOIo2a3Z6FGjU3Z9B28EF3ZRybkMpUbzEPlLY5x7VbTTUBJMjcc8DrXOa7408IeDtOzq2sWFkFHyxK4Ln6KK+a/GX7V1hbCW28IaYZpegurw8fUIOfzrxrdTvSbdj7E2x29q8r7UhjUl5JCFVB7seBXgvjn9o3wL4RFxb2Fx/wkGoR8FbdwIkPu/T8q+DPF3xb8feMy0er69ffYCci1VvLiH/AF6/iTXkl1bSzzl3umlYn+McCs5VoRdjqhhZs9/wDHn7RfjfxeJ7WC8bSdMbIWC0JQEe7dTXz9czXl5cs1zdGZWOT6Z/rVX7POGJ3I/pg09Y5kYrjaB0rmqV29jsp4eMRhtwU5jQgUxY7RiedhXpip9zCEhkUjGGpg+yyyD/RmiAHbPPvXPzOW5vayJo1Qn93OpOeCT1rUSN0h3hlIAyScVmR2ULP8s7bj2I4FJqL/AGDTkdpV2ySBAB3qTSlG8kNvRI9rvJxu5wPSvG/E95d2U0jZJTp619C2cdpe6YqtgPt4bPSvGPHmkeQJFs5vtWSd0eM4rCjN+01PerQiqasfLniHUhN4mjl6Msbnd+GKd4GnNt8QdN3vgmFx1+9kVl6/omq23iO5uGtZfIaMKr9RnPp2qPS5Ra+LtPl3AIJlTg9B0z+tfb0VF4a0X0Pz/Fcyxd2ran0vBqDRXQJLEnoc8iu6sL5Lqw8snccY5HFeQC4bau4nKnDNnrj/AOtXT6VqAW5QCUk9sV8vWo3Pr8NOx5h8W9Gmstah1yBAYJ/3NwQOA38LH+X5V03wY8EwTgeLPEEKyWYyun28i8SnoZD7elenalp2m67oEtlqFqt1aTcSRseDWzA6SWcNvZRrAkCCNYgMKgA6YpyzWcMN7Hr38iI5NTli3Xe3bz/r8Tm/Ffwzs9Rt5brQLhbS5OWa2mOY2+h6g182a7pWraLemG8s5IZFPKN0P+63pX2Y0rRQhmx6EVwniWewurCSC9gjuYzxhhk/ge1Xl+aVYu0tURmGUUqico6P8D4+E6yXg3pKpLHci+vXj1rVt44pZHdSCvHG3p7Vp38suh+ILo6X9kngZsi3uYRIv09RXOXHiSxt/Oe6tfszSOWfyhkA+3fFfXRqKcFynxdWhKjJqRfvv3MLknI5BXP6V53L5l9rJSIlpZHEarnO5iQAPzIre1LVIruwE1rdLcQYAz3H4Vzltcz6eq31u6pdxSq9uzDIWQHIPuM4rqpQaR51eSb0P0Y8O+F/7F8D6TpcCxeVb2iKFxgg45/WtZ9NkC8wIcnnBp/grWrTxb8JtA8RxJOn22zSR0HIDY+b9a6GSEIu0SsvbLrnNfA4jmU5X3vqfb0bOmuXaxw1xpSncslqSM8DAxWTLoVi3ytaqCRgkrivSDDKzhd8e3r161HLbOzEGLcPUCsYyaZpyaHk03hjTGP3DGQD91iteefEG8i8KfDqW3tpSssx8uNickFup/AV9JSWkRDb4YxxggjrXxl8fdRX/hN7fTIiBHAhY5Pc/wCTXp5ZT9riYxe25wZjP2WHlL5fefPV/dGS7+9ls/ePFUFfkDnj9aSZgZyQoJz0zmmAgHrnHXIr722h8I2Skk4BXOOpq/p0gg1q3kIOEkB98d6oKfmY5Y8dRXdeAfCU/i3xiICDFp9v+8u5ieg7KPc1jVqRhBylsjahSlUqKMVqz1291SLUtLidSNhQDI+leH6zaSQ3MkZJKZzGxHDDrXtmqaQ2n6vII9jwYAVV4xjtj8q4TxRbo2kGQDEqnj8a8HB1lGaS2Z9fmGH5qOu6PInDo5UAkdRmoicHr8uO/tWlK0Ttgggd/UVNp+iXmqyuLbYu09XONx9BXvuokrs+P9jKUrRVzGD5BUEkewoyVUNk9eBjmrN5Y3NldvFcRsmDg1TYFSDn86qLUtUTKEoO0kKCCxOTwew5poYk5H4cUYOxhuIzwQPSk7eWD0OemDWmliBScoRn6rS8bOBycY5pn8ZP3R396QfezkhvTH6UmhX1HFfvZHzfzoTHnL8wwrdc9qHJPzEZHYA0sQ8ybn5R/ESKkpKzOt1C8SXULdFf/R44gqc/rX0b8EooIvDUGpwXNoZV1Vmv42cB1jA2qcd+ORXzLY6Xa3xmna8mkSJS5XZt3AdRntxTbeQ2U92bW+SOCeMooWZlP+z+IPeuepFTVj0YYuSjqfbvxAvI7/w9dWFvFNdQSM0aOFAZkIOCR2NeNfZ73+y7CaWfT4zbwLGWuGKGPbxyPWvBhq3iSDkarflD123Jb+tXE8W+IoZNs1/MycYEi7s1zTwF42uUsck9j2i4tNdGmDUkvNKkt5OFPm7SwP19ay0uNXiulElmWK9QTkEf571zEXjXXr7RoLBrW01CaTmQPEMKo+6Pqaqjx06Wht7qwi+zOdsqwsUZc9ce1Zyy+y0NY4yLep9DwXttcjzILiKdAOdpyTx/KpSUYbyxA7kjivBbSAaXq8TW+pb4GOFmhk+Vh717BBdSxi3hvZbeZLhMwTRMNr+x9DWc6HLqjaFW5qswKAcnPBxVS7XKb4sbkYdamwWlXGU/hweh5qWMgpxxjPHXdWMo6Gt7nlPxn1G4d/BNizqZDZS3LhT91mIVQfwJ/KuK/wCEr8Q2/wAPpPDEep3Melscyxb8kL3UHsD3ro/iRoN9P4gbXftD3KbFUwk58pV/uj071wBIbBUKVYc+4+tdWDoU40Iwttr+NzjxFaftZNMqCWX+z2fOAQSQPftVK2mxOhXJY4y386v3M6rayExbEC4TJ5zWHEx8xSQcA8MOpr0ErnBKWps2r7pWLnDyN6+tTTsi3jAOQwOOKyhKFuM8YBzjPU1Lu3zOw6nmi2o29DXtUWS8QFmTALdOoFZMsrusixsgQviQnqalSZYm3A/w4596aY9kGAiDHRieT709CbEaGJXCszspHIHAFSJJufaAFGMKAeuKruucHBfj8qULtcBQemRzincVjrNCnb+0Ygp3DILcZ4Fe+eGtF1TWvibpMQeLUJppleaBvlUxKQWzntivmvT38qYsflyOeelfof8Ask/BXxP8W/jdZavbO+m+D9F2trmqlcmRmTi0i9ZSCCx6IMdz8vk4+KTTPdyyb5ZJHoOsfs6+M/2h/iF4O8L+HB/YPhXS53udd16WINb2SbdiRRp/y0uDklV5VQMt2Vv1R+C3wJ+HfwH+GMfhrwFo6QOwD6hqlyfMvdRlxgyTSnkn0HQDAAAAFej6FoeleHPDFpoujWcNjp9sm2KKJe/qT3J7k1tZ64xXkVsTOUeVPQ64Ukpcz3Jckng5x19BTt+2TA544+tQb8nDHrzx3pS/J647Z7VyampMrfmenFJuBVvX0HeoQ+Nw6EClLbmGSeew6U76gNaKKTAKc1Xa3j+bAK5/2qs5y2RjPt3oLADkqp9zQ9RW1Ob1iwlm0O7jjyd8RUBuh4r8yvFentB4hvYJPkkjmZCNvPBNfqlK0LROvmIcjpvr8/fjJon9l/FrUlwvk3WJ4iO4br+ua9HL37zR5OaxvBS7Hzvb2IW6BGAuec16F4Ok0q3+Ktpda3NHb6TbqXu3YfKqAe3PWuVMey4O0ZxyRjNd14B8OeJtb+Lok8Pf2aQll++N4SUT1bA6mvZrS/du54mHV6iO2vrzwPq/xPm1Kw0vVPEuhR2gU2drp7B3mPAKK+MqB1bpS3XhV/ENt5Gl/C/wv4XtnH/H5rtyJp/YiGLI/NhX0X4f+H8eiwTXupzrq+qTKPNnf5VUD+BF7KK7SPTbONFKW1tFxk8DivBqVndWPpqVJJHww/7LPhbVsy69qmr6vM53G3sYRZWwPoAnzEfVqSX9kfwrcR+TDoERhUcNPM7sB6fMTX3otsmFAMYHtirSWisRhweO1ZrEzT3L9jHsfnZ4i/Zg8OpoX2Kz0WHSJZF2NeWtoMxqOeo5Oen41V0b4JaFp8Rtb3wS5bAD3WlxlomAHB2ggjjtX6UwWkJbY0QcHswyKtNpFmX4gjHuoxVPFzF7CPY+BrL4IfChbKSe7TQrMjl4boSLL+Td6/NL9oD4M65D+1Bqh+HmjS6/oWpBJbKGyl8yS2IG1lIJ4GQCB7mv6D7rw1pNyT59ssrY43KGrjNR+FHhW+uFnbTxZ3iNlLm3OyRT7Ec1pQx0oSuZ1sNGasfkj8Bf2Nb620y48W/E7w7rV/qXlFdP0mOURxwFlI8x+7SDPHZewzzS+Nf2MYTp0cHhC0l0+5jTa815fSzzSnOerdMdK/WVPh7rdiT9g8Ya0y54Wd1kA/Mc1HN4R8WmZXbV7WXBztewQ7vqciqeYVXPmuSsJBRtY/DS9/ZR+NujWLTWVhJqUKE/II/MBH1H+FeUax4J8b+H79V1zwRqcTIfmlhhYFOeuK/Tb4v/AAg/bE8RfHbX9R8FeMZdP8MXIQWFpBeLapDtTaVChGwCRnOT1r6f8H/BjxVf/s9+HPD3xJ1a61zW7fTEg1KYhEjml2/M2VG5hn3rs/tHlWrucrwKb00P5/tQksbO8R5nuUy/zeYmcex711egPo+1Z5TJOuflLp8oz6AdvrX7LH9gX4S3WpyXF9p5aFlwIEYqAScluO/PWuM13/gnT8PpUdvDGsa7odx2IlMgH510LM6TVjH+z53PhHwrN4an0e+ur6e9IiG21W3UbC3o3+FNuPFdtquv2uieEPDFxreuocNa6WpmkkJ7yN91F9MkV9WWP7A0ei6hJ/wmvxRnfwysgkexgdbZpyOMyOPm6DHy4r6F8Mt8C/g54di0zwpo1teND0SytwiM3q0h5b61FbMIWSirm0MDK+p8sfD/APZD+JXxIvLW9+I2pS+H9JY5/sXSZT5hU9nm/hPqFwfev0S8CfAb4UfBbwcjNa6B4etl5keRlV5D3LMfmYn3rwnXP2j/ABTdwNaeHYrTQrbBCraRhnA/3jxmvENY13X/ABFqP2jV9QubpychppTI2fbPA/KvHxGLcvil8j1aOCtsj7d8Q/tOfDzw3ay2vhKxm8RXEZ2Bok8mHP8Avn+lfNfir9pX4k+Ji8NnNFoVo+R5Vp8uR/vnk15EljCGJ3sXY9ZRk0x7WVsY8psDjsa4JYpfZO2GCs9SG41LVtSkkl1C7nmmbqwclj+J5rPAVXxGxQ9yw61be3mTnymweCQ3BqEkomGBB6dKxlVlJanVGlFbIpSNcKCCBKM8Y7mozI3BkjAHfFX2hJAJKgHt3pnl4iPPbisS9UVV2sv3NhPFNaLAwuVH51fWJcqHAZR0ycmlNtEQcbkA64NLqPXcyWYKo3DJ7fWpN8Zx8pY9DirjW4LE+ZvPUArTRCAzAjf69qYriK0e4FlC/UVxHj+7aDTdLELqoaRzx14Fd7FHE3J3L9elcT8RNHur74dvJp6vc3dtIJVjjHzMuMMB+FEVrqVGdjiNM8aTW1uUaU5wQOeVpG1xbmclvn3cs2eleOJqrRT+TMGWWNsMrLg/jmtODV0Viwzt75rpeGs7o3eJcla56jLZ6dqMQE0Sbsc4GCK4nUfhppV/qEc0Mn2e43Aq6cd+9Rwa0q5YSEc8ZNa0et5I+fkcgg9Pehe1pu8XYiShNWkrnO30Emn6nPZuFaSJyrH1Pr+NVIb9oZuGO0HI9a1tWmFzfvc7gWdQWz6jiucuIt0RdR8w/l/Wto3ktSk7bHoej+IUI8tzntgevvXXaXOT4ilnU7o/LH0Jr57t7ySC73jjBweecV19l4zW209l3YYnOemQK5a+Eb2R30MWloz1HW9dihDJvOCcHFeK6/4kBdhE7HHy/UVz+veLHnuZBG+VLdAeueleeX2pXBZhHumlI5U9T6HPau7B5dax5+PzJbIsatqcUAluLpipOduOprzK7ujqF00hG0D7oHYUl9Jfy3hkvElQ5OBj5cfWoo49ueATivrcPQjTifCY3FSqTJICq71BKFsAhe+KbfTgyRW46L8xI9e1Ss6wwuwIDAZHHOayI2P2gSyckt8x9a6Vqea2fo1+ze93dfst6Vtc7Y7+6iRSeAomYDHtxXuTm5R/nRGHYEda+UPhT8RW8IfADQNFi0yOZkR5Gdn6l2LE8e5rqb34z604It7Kwtjjk8sa+QxmW4iriJyS0bfU+uweaUKeHhFvVLse+PMoBMloGPovWoWa2OCEli+jV80T/FnxIz7jd24BzwsVY8vxQ8VNKrfbuGPTyxx/jWf9iVurRTzyhe1mfVO5XOxZ29iy5FfnR8Z703Px61wlg4hkEeR7D/69e72vxc1+ByJ4rK6Xbk/JtyPrXy549v8A+0fidq2oMuz7S4k2A5xkD/CvUynLqmHrOUu3+R5+a5jTr0VGHc4gtiRiSfyo44wCR3z3qLOTwcnvmnZPrtyPug8Cvoj5wlEhIHQcd69V+Gvi5ND1WTTZYgVvbhQrH++flwa8mJwA52jHJJrW0hpIfFumS+W7tHdI5Qqdzc9hWOIpRqU3GR04SvKjWjOJ9U60wa+dRjcoOfavHfGrPHpvloCx3DgV6DrN1c2rqbq3uIHkXOXj28duteZ67P8A2i+5SEA6kt1+lfOYBPnT7H2eYyTouPVnFaXp6X2uQ2rbiGILEnoO9ekXuiqsNklkBBJFMrI6HA68j8qxdC0wxa4025ZCV4AHKiumv9TnhaOzsYPNleZDI2M7Vzya6sZXnKaUThy3DQhTbluzD8UWscXiMblMkU3ytgdD61wt/pbWjH5cxEnDV3Hii4aa7jyw/A8n3qlIFn8LqXy0gX15Nb4arKMUZY/DwqTlY89chQDlguf7tVmBHIJO49f6VcnQfaWA5GOmc1SGSSSdvX8PrXrp3R8zOLuJ/CMsD1wO2abk7gT379acSCnBxgc5prMAATyx4qtbED8MTsOBnuOlfQPgT9nTx38Q/hVH4r8Pz6HHZyu6xx3k7Ru5U4zkA4B+leIaJptxrHia0sbZcyTTKgAHqa/W/wAFaWPCHwN0vw/pge2itogUlA3ZY9d34nmuTE1nBJI78Hh1Ud2fnjq3wJ+MHh3zLS/8EarPbzjdDd6bIlzCSvoQQefQrXlep+F/Eml2Mt1qfhvxJp1rH/rJrnSp0jTHXLFcD8TX692nia6trSYRSrbTlv31pJIRFMPY/wALehFLpvxLifUpLG6kt76yk+XZNAu9GHWORTweO46isFjJLodM8FHoz8YjtCB0KsCchlbIYfUU7zn8wlXcj+HPOK/ST4y/AfwP8QfC2o+KPh9YWvhvx1CjSyafB8lrquOSu3okuM4Yc565FfnKlsscDSXYkiAYr5Drtk3A4IYfw4III9Qa7aNVVFdHn1sPKm7MmMt3aJbyx3MweWEOdhxt9qo+bIG3HMjZOTjrSSStNc+a5YgL8qr/ACqLtgttJ7elaPUyvY9k8SeDp9H0+fUtEklezX/W2obO0eq1x9hrNw0MSfa5FSNtyZfofUelfQMV5HLtinQEE7QpHBHfNfP/AIv0X+wvGTtboY9PuSXhPQL6r9K4cPK/us9SvBQs0e8+F9aTWvD6yl0NzHmOYAdGHf8AEc11Mbkbcr8x5A9a+dfAmujTvHUVvI4S2vAI3xx838JPp6V9FBxuBYbj7nGK5sTT5JGtGalEztTaBLIm4Eap0wejf/rrw/xLoFyLtH0my8q2OWOxvmJ9a9s1WBZrAvtEgXLbANxzXJQ69NEhWbRZXkjUbyGB4z6VyqrKDujrVCFSNmeDXFjqUPFxbXAIOSWU/nUCQzsMpE5cHoq8e1fQ7a/Z3DgS6PdLnH3ogcCnRaro/lOzabLGemfs/U10LMtNjneWJvRnz4LC9MgK2U7HPLbTikNhqCTFWhdeccqa+hH1PSWBQB4hjIXysYqOWfTpIV8uRGfOXDRmp/tN32KeVpbM8MttOunkj8xXIZsZCdTV3V9Lu9LlhW5t5YUlTcu9cMfevbrS40+O8gkHlyFOdnl9T2qHx9pcms+DTf8Al4uLUbo07kdwfwq4Y/30mtCKuX8sHZnz05KjnJU9Tmlj5ZckBc8k9M1A7jHHXspqWI5cq3Axwa9Q8o7fwB4Q1v4ifGzwt4D8OCNdf17UksrNmUMIics8xUkbljRWcjuQB3r+pL4U/Dbw58JPgb4f8A+F7VLfS9Ltwhkx+8uZTzJNIerO7ZYseTmvw3/4JuaXZX3/AAUZa+vWR59N8L3EtlGwB/eSyhWf1yFjUfia/oGU/KCNvsa8LNqj5lE9nLYJRci1n5ScjJ4pSflXHGM1EWG4gYP+7RuxwAevPpXj6s9Nku4jnPOMDdRux1wMdqj3nBP9M0hkXIPU+39aYImOSeTgig5Gdoqv5jdQMH3pS52sc89c1NmIzNXub6MItsjCLHzOoyc1yjzXLMd4uXP45rvNwPHb6VG0oByAD3zinsSzgS0wU/JLkg9Qa8B+LekTalodqbG0uLjVoXOxFQ/Mnfk19bkgjkBce1cL4gsJZNZ+0JEWUpt4GcVtRnyS5kY1qSqRcWfnzbeDvGVzMAvhfVEyeeBg/iTXuHwm0rxR4Ql1a71nRo4nnYLGBJuYRjtx3r3oWZRcMrgY6VYgtJ5Pk8mRgRx8tdVXGynGxw0sDGnLmRattQtLtVkBKsezk5B9K1PJ3oGAYjpyKrweH7qO0diLfa4x83Va6Gzga205IZZTIRwCa8+9z0YoyFtpyq4jY89B0q9BaXKyoxBQA9C39K11Prke4qYM5OWwRnIzSejKsPtxm4UANnPatQITnJ2j2NVImK20ciLtZnIbFE/mYUkn6ZpO4hflUkqep6Cm5U5yu4+h61ECQME4BB56VUbUtKt2ZbzV9JsFB+Z7q6WML9cmnyisXcFjkfLg+vWpAh3ZbHXivJvEnxv+HHh9p4bbXk8RXSDhdLjLxlvTeeOteDa9+0/qTBo9F02zsv7ryt5j/kKdmOzufa2ERC7bVUc5JwK5fWvHfhLQImbVNcsbdlHKCQM35Cvzs1z4u+M/EBkW51q+aM/wJJ5SfkOa8/ubvUbiYvLd/P1G3LMfxNZynBbs1jh6ktkfdfiP9pXwxpcMv9lWdxesBxNO4ij/AFr5x1b9q7VfEXiObQdG17T7S7KF2ttPILKo6ksfrXzP400F/Evw51PSmLmd0LwSbjkOvI59PavjDwnqdx4b+KGl6gsTxSQ3ASdF6spO119/X8K6KDjUi7EVKThJcx+kOpa7rmrzPNe6jLcOTkvJKXb9eK+bfCviTX9Y/aX1Cy1DUZ7uzi08tFbNjYjbsE4FexLqMEsAZcgMuVyfbrXgvgfdF+0jqE4OCbB1B/4FmuRVJtSTO904K1j6XX7vzomfSpE24BUMpPpzWSl5McnIl/3u9T/2iinBgCgfxLmuNwkdVzW3sF4cnt81M3uWJIjb2FZY1CJm+Z2UdcECrEc6SEFGibPHXFKMWHNcsPMA2NsinpgHP41CrIT9/aQf4l603zGV+QV7HJzSNLG2Og+opvQdyQxq3zYjPuD1qCW1DKPkdBnOVFPdSyAK0ZHoTjFQhpwCwYhTwAGoB6lV4AhyJGJxz7UANuT5zweh7+9W2eQR/MiucdxmofO/egtb4Hopxg04rUl6DHifdlvmb60wGRR88b7eeacbyHdgu0fP3Suaetwqr8jJJk8/Ngmq5bGfNcRJbQ5Vi8LHqT0q2ohwFWWN8Lxmsua6xlfKBbPcYFQma2cjeku7/ZHSjk6hzmJ4v8BeHfEmk3U1xaJDqCQMY7q3O1sgE846j618JHUxb3DJJJKpTnI5HpX6JQ2scsEgjnMZZCPmPtX566naQ22q6j5mGkW4kjGenySMK9XLvebTOLGVXFJoVPEVrGAHklb+8Qp5pW8ZWkagLK/XoykVy0xkaQ7QgA5JzgCs2S2uMMzSREZ6EZzXsLA0pbnmf2rWi9LHpFn480y6u47d5vJkdtiZ6NnjFb8+o+Qx8w7TngN0rwCe0kTJygIOV2r075rUm8XagIxHcRrO23AkPGfc0qmWrTkOihnb19p+B6NfaxCcspRR7Vyk2sPuYIzMOSeOlccviDfkXaFFJ++nv7VsW0ttcspjmRj1J3Yqlg+RXaFLMfau0WakXmTnzN4HANWEsrszAtJFsbqCMZq/DbhYo5EQSjGcbqV5FLZa2njGOducVDepqoaXZTe3dbNwbZZ4iPn6MK4TVo7SDUdtsssB2ZeNhja3oPaugv8AWreF5oIZbklMgqRghveuVu72a9lSe5Ks+zaAB90V34eMlqeTj6kJKyMe6f7inO5m7HjFNghMsyxKSS7BQB6k4qAs0ly7tjGcflXReHoBN4qtsgBIiZCe3Hb9a73ojxHue0QTvb2VvagKvloqDHQACnyu+XYSkDqMck+1ZbSSeaSSS3XBOMVILgNJiP73TJ6/SsPM1WhZG7J6BTk0rEbRhsEcEE/niqrTAyBiyrjuKaWJ53A8/wANTIeiYpyZMAjbjpmvMvGETRapFdcFZU25x0I7V6IzL9o3NksewNZGt2C6pojxkjzR80LEdx2+lVHcW6PHRgZB4rtfBXgbW/HfiNtM0mJEEce+4uZM+VCO2fc84Hsa5+y0PU73xVa6PbWrtf3EoiijbgEnuT6AZJ9hX6E+C/C2heAfANtpUd7CtzIA9/Op+ad8c8+nYCuHNcx+rU7R+J7f5nqZRlTxVS8vhW/+R5F4B+C0HhjxTJrPi9rHVo4RixjRf3bN/wA9GB9Ogr0fVoNCtNWt/EV7plk11Cp+wA24BQH+L3z29K6DWfFekWAcMi3VyqfuoR91B2zXNrpE/jTw/LNPefZS4+WT+56YHpivj6mMr1qnPUZ9rRy+jQp+zpo831O91b4geK00bT4RJGBmaZgNkK+pPr6CuS8Y+EtC8OWhjglnuL0D5pJHypHevVNSvtF8A+F5NE0mZZbwqWurjPzyN6n/AAr5u8Ra/Je6j5ksplTkgE/nXrYBVJy93Y4ce6cIe9uVLK9a21fy0JaNxlctXYW1/Z2VtcSSuDMybWAGSQe1eV21xK2stPIccYAHQD0rXmvN4KEdvwFexPDczPGw+O5Lj7+f7XqfnHcqA8KRwBUxlYaRIi4VwT0NU4XeaQYHQ5BArWNm6xs5Ukn7ynv+FEuWNkNc1S7OBuUlSX5lbYTyapAbmLE4xzz3rur2wQwhn4weo9K5mWzBlJQMRk4yK7qVZNHj18JKLMY5y2V5x1po+ZehCk8k1oSQFZGJwccdKqqhBJyPpnpXQp3OJwaZ738CPEvgfwp4x1LVPFayC+Fts02YQl0ic/eLAeox19K+7vCPjjRtWtGl0nVLK+iILNHHKDnJ7r1r8obSZY5A27OOMeldfo2qXtnrtrc6fPNaXQlGHicq457H/HiuOvRvqduGxDjofph4vSDUdKbycadOqEpKFzE4/usO39K+TbHxVqEOv3UF1NL9qiJj3sckFT6+3rXvXgrxf/wk/hMRX+xL2NcFiOHYfxY9fUV4T8SNGbSvHEmorLaR/aDl4lP8OPvD1Ge9c9JX0OytK6uj0vSfFd5c6ReSLOYrlQGjZeoccg/Xivk/4t6DND48/wCEmhTbpWvn7ShVcLHcYxKn4kbx77q6Sz8fRaKt9Z3IkmlkT92IzwvbJ98Vqaz498IeIvgnfeFrq0voLk23+hSFQwhmUgo3sM10UlKL2OSc4yVrnzbgiPH3T7UhDBR97rkcVsvpN0Tvi8ubHaNuhxWXLG8BCSK6Mf7w612nE4nvel6jLLuErLLdbgwAThQe2K1NU0XT9f0lbbUBKSsm5JA2Cp9q810rU/s2qeZPu+ZQg47D1rspdVU7LS0HysATzhjmvVp0aVr8qCdWfcoj4YRJILi31CaIIQ6FwDgjkV6nFcBbWFJZAWCruOM5wP0rirZ78Kqw3MqdSdzZA+uavw3F4mF3W065wzlcMfyrKvg6VXcqnXnDY6w3CPvXzIy3I9P0rAkmWOznl2pIwBzjviqr65Atx5UcfnyDh9p+Vf8A69TC+spImErsrHg7kwD+VeTiMjjP4ZWPQw2aezveJbsNbS7tmYWmwKccsCTxWsmo2xJ32pHGeFB/GsmC3sEidbVoiNwY7W5zVjyHMpC5wCfm7H6VwPIZp6K/zOmObRk9dDWF5ZPAzfZlLbc4MY6VA4t5InKQIgPRtgFVEj3/AC5BIBznvWieLBlDjI5yB+tcFfLqkE7pndSxkZPRnPXMMVoLPALFfl3sBz3qDRL+bWdWvLS9dRCSEEY7A5B+tWdS+a1ZlUMI3DZNcTp99/ZHi15ZC6xzLuUgZI5/nXHSTlE6qqSkeZeINGk0XxrqulygsLecorY6jqD+RrDwA4xu47nkV7V4ygg8VamL6yKNfGL5wy43gfSvKpNKuInIMFwwXoV5Ga+kw9ZThfqfMYnDuE7Ht/7MXxIl+Fv7Z/hXxSk3l2xV7O5G7Cskm04P4r+tf0q+D/G2ieMvC1tqek3cUgkQF4tw3xnHIIr+UPStB1LUNQjhsbS5muC/YHOa+7fhH8dPFXw+stPtdWn1QGMbEvoULdOMOo6j3rgzKnGdnfU78vlO3LY/f/eN2cg+nFS7sN8pwMd6+EPBn7Vc1xpMD6na2+rQFR+/gO1vxB717to/7QXw/wBRtibvUZNKlUDEdwhJb2BFeHKDR6jdj3jdk4bj1pqgE45J7ivO7T4p+Ab2PdbeJdNI7ZkxXQQ+MfDEyAw6/pcgPQi4XmkosDpQvLYP1oO0RYIz6Z6ViDxJoTE41fTmGP8An4X8+tB8RaFswdY01Vxz/pC/403F2GzX3lm7YHTFGOTz2x0rn5PFvhiCPMmvaUhx0+0L/jWdP8RvAtqgabxLpKev78GpaZNzswv70E8+uRmoJI2FyWwOR3rz2X4x/DaKXbL4q0/kZyrZH6VyWqftEfDa0mIttSuL4gc+TASDRZ3Fc9rKREFjHGSOPu1NsAj+XAxzgCvlm9/ai8MxM4sdF1O6bsXYIDXH6h+1TqDI62GgWsOfutLNnH5VXKxLU+0c4vGUfMrdRUBAXJJAAzX586j+0h47vGcQXVnYnt5MOT7cmvO9R+LfjTVGIutf1Vgx6JJsH6VLt3LVOT6H6dXWtaRYJuu9RsbYD/npMBXG33xd+HulXP8ApniCCUL94W37xvoK/Mi51/U75WaW5mnk9Zpmesie7vyPmkcDb0QfrU80O5boTZ+husftM+E7OWRdF0zU9RUHKNNiMH3ry3Xf2pfEV2skWm2ulaYhGFIBlfmvjhpXlILSSM3YsxqxHGSAyyEHP92peIitjSOFfU9l1f4xeONY3C61zUtpGSsTeUv6c1w9xqWpag4ee58xickysZG/8erAjJzyTnHUGpml/dgOxGT3rGeIl0N4YWK3LLx3chy88ki/w7jx+QqMrcpu/do/TkDFNWdusbk59G6fhUwvJWYCRMj0AxWPNJ7s3jTitikbmSNuUYc9SuasLcoyEh856c4NT5iY/MGOPur2qE28TkEhOp7cCpY/QnFyVA2kNk5IJzXzBrGk2NhffGSCPS7K91m4NhPo1zIMSaa6TSSymMekyuI2x2Qfh9J3EUUagKx3gfeXtXx78adcuPDH7QMclqxWO+0mFpCT97ypD1/76r08qV6rj3R5mZytTUuzPqHwPfR618JNJvZ4ilx5LJIjDkOpIIP5V5z4KtvN+NV1uGP9Hkwd3uK3PhJqIvvhVPOhBUajOTnjkncf51z/AIQ1C2j+LVyfPj5ilXg57jtWVaDhVkvM6aM1KnGXke5G2MakrJIpPT0qu6XKMxEof04qE6wmBtZTgemKim1UPHgfISODtzXKk2zZyVixG8zvh41cj1HFW/KgRNzBcnnCsQa58XgVNwnkY56FSKnGrMrksNwIznZV8rsRzGv0bcksw9jyKvRzuRtbymUn6E1zR1232ndC49xxmmNq8UikRMY+3NPkbD2qOpLQecVPyjHZuKPtcEaEHa3Oea41blZJyWdX+hxWgY43iGBMBnsc4NS6bH7Y2Xv1LnGRg8AdBVVrgM+RMW9Qe1UERl+cS8ejDmpySSVZQ59utPkFKpclCbgeQSenNMe2lZFIO3Pt1qPzEQfOmwjqfWka/tlwv2lUYngE9a0p0ZzdkrmcqsYq7dhzRXa5ywf03GojNLAjPKgjRfvNngVTvfE1laWDymUT7eCqDJFeH+PviFq0+km202OG2wdxidCfNA659PWu6jlOJq/ZsvM4a2Y0Ifav6HrmveP9F8P+FLm8WaG9ulO2OGFgTuPTPoPeviHU7m6vL67vXMVw1xcO77Wwoycn6dazNY1TxDqMstxaRWUsjHbLFFCQ/wCXeuanttf02NVvbSaGOT5trKVyPxr2cNln1dXe7PKxOYqs0lsa0r7XLb0GD9wc4qlNcZU4YjPBzVVLm1cDfC0cmOdp6VSlktfMP+kPGQfuuP1rtSORz0HSXcwTBZSc4BI4NUZZZZSWdRhR1AxTGubYLl3kYdsLjNRtdxhsRRhiRgktxW6VjFtEPlYOXUs2Minr8uTyp744prTSsApwGz1PpTMgyEkj1NLchaMvR393C48q5nXC4AzkVbk1nUJkCNdzEZ6Zx+FYokxnHBz0HenZY4GMHqCaXJHsaRqzXUlf5i0jMDIT8xJyc/WoZQFUDDEHknNNab7y5+c/dAFQSNtVuWbYOT6k1aVjKcrlWMsHbkjnnNdV4eubS1klkdg0jHbgHO36+lY2iaRea54k0zRNORpNQvrlbe2AXd8zZ5+gAJPsK/Qy/wDgH4OvvhzpWiXOlG3vbCzWGPU7Y7Z9wHJLfxZPXPWuPG4+nQsp9TfCYKpXu49D5DF6ssIxINx4zmpDMoICyAtjnB/lXoWufs6eNdJt2k8OatZa8g58q5/cS4+oBB/IV5JqejeNPDsrx614W1e2KHHmLbmVD+KZ4qaOMo1fglcqthKtNe9E1/tyljH2zg4Wl+0qkzbHPfPPFcSmuIr7XLK6thlIIKn0IPenjWYhKSsiH1zmutK5y2O1FxG2TkH6DqKjNzAsZYuFH8WW6muIbWBsZvMUEHpnoKxLzUXeTCyHb14qlETkexeF9Ttz49gEOGudjmNiOV6d/WvSri7n81laZmPVS2eDXg3w6kL+NJp+G8m2yM9yxxXsNxNIsrkEYA+9j16V81nEFKuvQ+wyGo1h36hcmWeRZ3Z3Y5zk81Ym128t9KWCCaVI1bO1HxWabheV5ZccY7Vj30o5kXeMdR/WvPp003ZnszqtK5y+u38lzeXE3mtK55Oe49q88lnAkE8wBAPzc12Gp2sstncSIWZhzn2rAu9MZvCD3WApVgSCPvCvosGoxR8rjpTm2ylFLC43QMpJ+8p4NBO+RVL7MHnnP41jWZDa3YrJxEbuESY6bTIoYflmvY/Hnh61sfGU0+mxiKwuCCsa9IjgcfQ9a7qrUWjyqN5XOZ0pER2Gc4GMj3rrBt8nLbSMcnPPsK5bT1ZFKkA+nGTW8p324HcDt0ryMTrI+jwbtAqXil48MeSO1ctPCUzggKTxmuwZCSWbgAfhWLcW7vJ5aRmRi3ACEn8AOtXRqWM8VTurnIy/KrNhdp6ZHesyTb5hK4HPQivZNH+EPjjxFiSz0hra2I/194xjX8B1P6V6bpn7N9tAI5fEevNN3a2skCZP+8cn8sV6Ea8F1PDqUZN2PkmO3klvEjt45JpmPyIili34DmvZfDPw915xBqWqRtpFmyZ/f/67nuF7fjX07pPg7w34Zi8rQdFtbSTbzOU3SsfdjWd4gRo7SSSfdvZf4j0/KplXctCI4fl3G/DqyW4i1K3t2kSz06FUV92WyxPzn34qfx2Fk+H8ltrlgLl4N0sM4ADAdNyt61wnhbxnc+G59WSBI2inMZkJXoQTgfiK6vxpFc+MPCsGp6ffRfZYySkIONpI+ZW/GpUbSN+dcp8ZeIIHsvFtwJVdRKA0T7cBlx1H8qzPPi3sAx5GB8teraxpP9p6WdPucQX1sWETMP8AVsO30NePSxvFPIkiskiOVZe4Nd8HoedONtTooJ3jIKt8jd16GtQmC5t1S5jV37HuK46GWWF9yA7O+T1roIZVaBJYiwQjn2PrVsSlYkFyllMpnk83yhxgZy3pXX6Xc2s86XCjZtXfI0hxXOal4M8UWVwoutJvJFJJeSIbw3r0qjDHOoK3XnWdmp5DoVLfn1rug5IzPSl1ZtQleOzURWiH95MThT/9aq9xq0kzNZaW/C/6yf0+lcot22oRi2jQ22mRDACH5pfcmta3vrW1tylqit6sT1/HvWkqrZWx0lvCttHjcNp+Y5P3j3qyLsDKqUKZ6EDn2rnoJri6uQPmVf6f0q79ss7CHa22e5zkIOdp9zQ5ivc6CJxOrkxpEmMAnjBqxFeSeWI7dpMd2DYC1x8+qwRES30p24O2Fe3+NZv9u6lfrJb6Yi20GcmRuce+aftFcUX3PSn1M20Qku76KMD+9jcT+FLH4k89TLHAkUH/AD3kO0H8K8ma8sbM75HbV9SGTuc/u1+lRpcXOpymfUZD5SnKRDhcemPSl7S42z1CfV7O8iaO1e5mk/iKJlCD7mucuf8ASAXuFZViP384x7YqnDeLbhGfMSdAqnGBjpVa/wBU854bOBQJC4ZwOSB2ye+aynhqM9XFGscTVjtJnpHhCz05NYiv47gGWJSJYZRjG4YpuveDr+M3Go2VrL9lz8wY5GCf5V51Z6zLpfjq3u3IMUUq+dDnhwOelfb2nfYNY8M2t9ZMlxZXESsnOcg9jXhYmj7GV47Hr4et7eNpbngnw00q6tvFdvdSiKGMYJ+bJPtXsVlY2ek6/dNJGtyjTsQje5z/AFq4vhi2ttRS5skFuQ+5k/hH09K0bn7Jaas17Ivn3MihkjbhI+2T6/SvDzGb5eY9TCRs7HcR6lpun6Ck0tvDahkyE2/M34VxGo+LriK6Mlrujz/q4ByWz3NchNe3epanJsdppOhkb7q/7oqvPqFlpsM8KtcNe4H+kCBnCk+nrivFpOSluejUs1sSzfFDXLLXorOS2sXZg25ejKw7Vwj/ALT97Y6zdWlz4UkHkStEWju8ZIPUfWvNkuZ18YvdXU8k1w10fMklBDNzjJHbjtXqmmeB/Dd7dzatJYW8t7I+6UyLnJwADivYhXhR+NXOSeHnUS5HY6PRvj5rGuzAWHhDWZARzILnbGo92J/lXql34x1Ky8GwanfQzQXMg802YnJZIsgb2Pb1A9BXOafYxaRaRi5toGugm63sFGFQdnk9B6L1NW/NkvWm+2xrc+bkSu45bIxj6e3auarjbvSNjWnhH1dzU8P+MLnX/wC1UZPs13Y3Zt5omck4wGR/oykEfWuX8d/EbUvCvibw/psVla3f9pCQlyxHl7Mdu/WuUsrseF/i9ZfaDKlrdRrYXb54cZJtpee4y0Z9ytYnxjIl+LHgbEm/Zb3Dk4xjBWqpTbqK+1v0JnCKh53PXvA3iu88U+F7jUL1YYXW6eFRGvGF4rt/ORywZnyRgkHpXkfwf3P8Lrhwh2HUpjuQ/wC1Xpb+WCM7gcZ9Oa469aXO7M6qVOCirovfuyvyu8g64PapFuSnQoRjG3FZOX3ZTcB/vURxsx3Fh0wQ1czlJ7s293ojXa4MiB2UDB6jvUPmoQd208YxVZY5DJwcL3x1qXyNkWSrMQckdRUrRjY/GSBHnnrTiJiuN2COwHUU5bpI0b5AR0yBVyOS0kGDJ5b9yaHNjUUVQrIwJUyemeMU9ZCr5bKHPOKvBF8thHIr9yaaSQoG3JPtnND1VxuPYam1nHBIIycGpikbsqtxjjkdarnY3QNHkdaRd/nZR+/GeKi40n1LD20e5fLYevB5oa1m2jbK+ew9agIm3Esqn1xTBeTQPj504PUZ/Cr5tCGSOl1GcuASM9DzVY3cquEcOoxkn+lWlvPMB3gA926mnF4WHAw2eSRTuwsVPPVgdsmcj+IV8aftKoF+Jfha6J4fSpo2IHpJGa+1PIjfghQCMsxPOa+Qf2nbeIXnhKeIbsC4jb8t39K9bKZf7TH5/keXmsf9nl8vzOv+CuoSP8KNRtFkbB1An3AZFOK9Z0LQ9N03VJLhLaAXLg7nVB0POK8W+AKrN4R111KqY54ioPTmMDP14r3AXbWl2d5QgHGKzzFNYmSQ8BJfV43OtxEVTaoU45yKYfJU7mKM3U+9cbceILdAcMQ3saxJvE0LErl2/wB7gVhGi7m860UeiyalBHnEau2enUVkT3yylkZVUexxXAS65OygQsEBHHPSsmfUbhlb95uYd810Ro2Oedc76e4tYh/r19eXrGm1ezjJVZA7fTpXCSXchf5ySQaEkhDHn5vUjvWypWMHVOpfXRu/co5Pb1Natv4jvVT5G2jHTGa4qIKwJDg56c1rQypBDibbuJ+7nk1Sw7m7RRm6/Ir3OlHia/chGkAU9RinDWp57koWYSgcAHBP415tqQt9Um8yRp40jYhRFKVzjvxVQX2q6HbLdwyNqdkOTFN/rI/oe9ethsqivemedXzSTdonsfmXhsXea4ZZ8ZVCcr+PtVM3NvNbJJIFVwMbGPCtnoa8/tvHdvqSmDmG9ReYJjhseo9RVD+2hB4lW3upSkN3GXidugcDkfiMH869mjQUV7qPMq13N3bOp1fV7W1tZJE8sPgiQAc814d4k1SXUZoZYVzPECZAeCw6fyrvNTvLZy4Iy7JhWPRq4CeylhuLvUH3GJCrkIoyM8E49BXTbQwbuaNg+lWNmtxaww3F/ImJgWw/TnHsP51duiL7S5RcW4vdMODJPMcuvt9R7VgabpKXVysu92V2zbzRy7c++2uw07TZ132mBIIzwCMbuepHSsr3GmzwXWtKEF3LdadBM9mrEc53J7+4rkJ8yoRLDvUnG8cEV9Z3nhRtQt5VcwW/mKVeNflGfWvHtb8MSaNIY7ZOf4mK5wP8KTpJlczseQmEG3wspbHQE1HiARnzMBgMcDGa6S7iiNixhgHnK/zAnBK+v9azXhQ2pkDl1HIzzWMtC42kjLDRYA8xxzS74tp/iFOwpAyikDrtPSmCKIlirBj1wRigWo15AFwAmD3zTW3M3zyhgeynOKl+zccYx2x1poj2n5QEGMZ6n60k7jVxqbF+WNSJCepqG5IjRIQV3L8zk+v1q3GrPcLb20TSzyOFTAyzMxwAB65NfZ3wy/ZqtLW5tPEPjq5g1CcYlt9Jj/1SHqDKTy7D06D071zYrGU6EbzZth8LOs7RK37M/wANDZqfiBrsDxXMqmLRoZOCkZxvmI7FsYHoAPU19l/M3KSjHT5qyksreGJY40EQQYUR8AD0xTWPl4InKr0ANfF4zFSxFVyZ9fhaMMPTUUajLIW3NGjHPPHWqd2tqY3+0Qgk8kEAj8BWTPq5hVgWjIHHB7VwniPxvDpWkXM7fNOsZaGMvgu3YVlChKb0KqYmCWp8k/tPiyi+Lvh+Gwht4dmlyySGOMLuLSLjOOuADXgnhzR73xL4503QLJkF7fyNHCZDhdwUtg/gDXuvjuCLxz8Ro9d1WT7NttUgW2i6HBJPP1NZenaZp+i3CXOmxLBdISUnU4dD04NfbYOMqWHjF7pHyGKkqldyWzPLNU8HeLdD1A2mraFf2TknaTtZW5xwVJrXm+HWpRaJBdPqlh9qkjMjWpPKgDON3rXe3mpTzTlrm5nmbsJHLY+lYckzM3En3uea35qjS1M2qavpci+F+nzw+ItVF5bPEjWilC45yGOf6V6RqDBLSSSM/LnOG9K57wpqOn2eo6ncalOIybXZGBzubOakm1G1uC7rKfLJ+TIwK8TG0pzxDaXY+iy2vCnhUm+5HJqSJGTs5xg4OPxqlJcmW2Vslk3fN2z7CsiZ2jikEm1VJ+QjnNZj6hFGnl+ayDAwGqo4VrWxrLHwa3L17eHyzCi8HIXJ5IrnNW1MW2gixVwzuuCv90e9S314LfT2uWZGwfkGeSfauW03T9T8Q+MLDTdOtpdT1fULhYba3T70rnoPYAck9gCa9LD0up4+KxL2XU9O+C3wq1X4s/Giw0G1EkOkwlbjWLwDAggBzgH+++MD2yfTP2x8Rfg5p+mz6naWd7p8lg4xDE82J4VAG0n34r6C+C3w20L4Ifs9x2l+YXv5Yxda7qOzDyykcgf7K9AOwAFedfFC80vxJ4xsNU8PI95bvbrHIU7kHg/ka5sRiHOemxth8OqdO73Z+fd5pMula5dWU4IkhcqwxgH0P5dKLe3uLm4W2s45ZpifuIpYtX0pdfCrUfEXju6v9TuY7awO0RxQjLkDsWr1rQPAWgeHbcCxsYw/GZG5bn1Jrklds9CFRQifN3h34RavrKxy6o7adaH+DbmRv8K988PfDnwx4dRHt7CKa6X/AJbzjc5/OvQJSlvCRGAoA4x3rEur/AIBG/8AxqowRhUrOW5YubpI7bbHtAHGEGK5i4DyuSVBHGc9TT7i6Z8bmDHPA6YPpTIY7mdfljLAdTjpW1kcj1ZlzAKOF3qq/N61wWuxT36iC3XC9ST0A9TXqUloIy4cEg/MeK898U3yW2nvFbMqBhglV5P4VpC7diXE8K8QtFbt/Z9uVkCSbppByGI4/Sq9hqtyEuNOM5it2jYk5xv44FXptNMjSO0xLMSzLjOef51n3Vg9tazXAwVEZVj6V1rbU5H8RxTXk01vdO5llmz87Fsnjua8svZfN1W5kOctKSa7DU7g2lhcESAM/G0HrXCeYC2ThievPeuuMTlrMl+QcsN2OTWpp0p84xqq7fTdgcVkqPmwBweeav2C/wCmjLfKF6mrM0fZVvrLOSOqr03dMGrc8Gk6lAFv7CyuDnPzRjivG01poWC+dtHTLHNbFn4guHeJ8AWycOzjgn+tendDdonQ6j4C8MXMJWG2ks2Q/wDLA7R+I9K4O/8ABU9kry6fImoHbuEchCtj29q6/wD4SCRmLEMh65IPzD6VTub0zgzxko3JKqcDFPlTQrX1PGb/AFTUIrhraVPsSocOCMNVH+0PLULZqS7fekbkn3FdL4scXtpNLIN8kajkivNftBC579DtNck3yiWx0CNALk3F9OZJQRhFPJpJ7+4uVEUe2C1z/qk/qe9c8ZsxhtxBB5J71KlztYAtxnJwelTzkm7BGvylduB1J6CtNb2FFWK2i86Q45I6n6Vz1o0t5MVUxxxjlmZsD/8AXWm2p2+myCO1CySjh5SMkk/yq00PY1JlmVczzxC5Iwokb5Yh6n1PtVOyvo4b0w2AWeYbpJrqQZAA9K5ae7lubtmZmchuNtabk2Gn/Zl4uJsNcHGSo7LTU7hoT/aJZNUadjuD8tj09a+nvgr4xMNzL4WvJQYpQZbJiejDqo+vWvmtbYDTw21jI3c9PetPSr25tb63vLWQLeWrh4iD6HNYVaXPFo3oVeSSZ+hbSSjLlwF75HSuc8SQpPJbym5CWioRKCeSe1J4X8SWXiPwHaalGyCSVMOM8K44P61m+Nbsaf4bhuViEmJ1BBOM5FfKY2i3Bo+noTTaZSjvrdYPKj+RARyvU/Wp/NicMPPb5T0avKD4p5x5McDchuST+Qqo2uzzsSstyoJ6nCjNeKsDNu56ft4R2M3xxbfZPHVzMMFJ4xKCnTPQ/wAq9T8F60tv4V+07oIZGUKlxKMmMgclR03H1PSvHdauJbzRYbtk3xw3bW8kpfcx+UHb6Af1rd8MXFxJ4H1CCDy4/s06iMyrkAsMjiu2pRagk+hzRqqUnY9yt9a01gyrcmV3OWLklnPck9zXRWdzDOoAaEgDgZFfPo02+u0Hna1cQjPCwoF/XFdZofgd7q4SV7zUzF0+a5YD9DXFOhFK7kdMa8tlE7TxXo8WsPptrL8puVltlmjI3RsV3IwPYhlyK8R8SazNrfjnwT9uVY9TtNNu7bUFB6SoyK3HvjI9q9k1HwYkeizPp11fwahB+9s5BOzbZFGQcE/hXhviJvtXxy0fVpUjW7vNJd7pkG1JiuAHx2bs34V2YPllfXZP8jlxPMmtOqPb/hFI6/CY7HwDfz4wP9s8V6mJ5hJtZBIfp2ryr4Qu6fB6DYF2teTkf99mvVC7OMBiD1/CvOr6VGj0KKvBCiW18z96pQ+g65qwjLI+ICpPbcOarpbyyLzGTx97NW47RETvvxzgdKyexaTRpw28iLuKhiepBqXdHkqysPXjArPVp0GQwP0amPeSx5JDtn1Wo1NLrqaDxxupb92B/dqs9tGQflbOOCKjiuIJVUsqxse+cUPkH91KxyeMnrTSB2ZF5LiVtkpGeCelLFPd+YVKs6A4B7U/zJkT7oJB6EUJcqsu0xtn2PSi+gJWLAvUz86c4444pRdxOASrAEcHFRb45XyMc9CR0oeGM4O4Kp64PFTuxNlpZY2U7GOPrRuOODn0Dc1kTRyox2MGGc1G7SRKGkJTjOR0quUTnoaZUNIcKoP1xmogZFBPmEIOQAM1ltqMYX/WEnHOR1rNutdEcUmJEAHYVcb3sZuaRs3WptChCkM2OuOlfMXx8xd+EtGl3BpI7uQE/VDXqV9r0krlVXj1FeN/E3fdeBUZi7MlwCMdga9TL4uNaLPLx9TnpSRW+CviCTTND1mKPBMiREk+oyK9Ln1ae6uWLykPn+E14H8JZcXutw8HEaYJ6/ebivYQymRmZMHPGOMV242knXb/AK2OXBS/cJHQwFGJLyFiRkn61NKkOzLbGB7nrWGJ1jUAE7+xPaopJ3faY1yCemawhA1k7l+Q/MRECAMk85waqyGQPkOWxznFQeawZQXIPJKntUb6hHFGWnwiepXk+3FdEYSbsjCU0ldssGc8BlDHue1V5b+0jLBlckDogrEn1uNVabY7DGFUDPFczN4kt1DtNaXZXPLeX379K9ajl0d5nl1ce/snSzeKHguAbbS7yXZnDcDINZd140vo5XJ0m7QDqVGeK5//AIS/STLmSSaNyOQVxj0zV5dds7hdlvOspYYDEYANekqUI6JHC6jbvcdB8QrG3Ypc2l7DlydxT9K7C38YeGNUtoxHqCQXA/hZsfmO9cBcraNODdzW6k85JDfpXNXtppc+7y0W5c8ZSPAHowNaciMebU9P1GytLy2815I2IOY5IDhl9MGuP1TUNQjtUhurhpGt28y1uepDDsw9D0yK4ZhrFgxfSrm4gjC/6qaTdn86pz+Ib022zUYd8qnAdVwRVxdkD1PatI1Ky1Gxtb19zuyljEvJz3H51pWWl6jNqzXjCea2mOJYCuABjgj3rxfwFfE+L5NhZIBHvYHkZzjPtX1boMLtax+XJJKGX5Dik7vUI6mPaeD7a3f7TFm0BG8Rd8/yFdpp2lvZQyz3Si5837uByK6aw0eNLcTXEq/aMZEZ6Y75q9MsUeAP3cvQHGRispS00NowOCubRWQRLudy3TGNo/rXP6hppnjMDrHcRgFcuMNXpUluGu/kjUA8q/ce9cVrtsfs00n2kuWzmlGVhcp4h4g8NaNav57ulvNjop5PsRXmd1Y6G0Mi207Wd9jhTyj+x/xr1LWNAs7mWRprkOpUYDTYJPtXnN54UtGuZFgu549oy+7nH0rWaUkZ3s9Dhrm28u5eKVCj+melUijrH8rng5BxkGt6504CAxvew3IVtkcg4kT3I7is2e1uLSLfcRCSAfL5q9K5pQaNFIzD5wYFWjYDvUkcchJL7dwHFSFEzuUEHtgcYqW3trm8u1gtop7mVj8scUZZvwAqLqO5a1PW/gkuix/Gy21XxBNZw2GnQPMDcDh5eiY9xya+3j8TvCDyYGracgxnO/mvzt1L4d/EKwjRz4Z1hYdgbfAVf3zgHOa4+5h8QWBIu7bWLMjqZreRQPXnGK8zEYGniZc3OdtHGVMPGyifqGnjXwtMx2eIrMN/12GKuHxDo/8AZ7zJrOmyQopZyJhkD196/KNNVu1k2xXjNJn5l3AkfhXR6T4kuIIZFnkaR2bIJ4IFc/8AYkV9r8DRZtN7o+xPFfxWjkmlttCQlf8An5deCPUCvGr7Wbm9mM13PJNMc5LnPWuHtdaW5TkgEnufvf4VoGb5SoO7AyTnNehSwlOktEcdStOo9WaJvnKpnGWJyT/Oo/tGGJySvoOlZpk37Hb5hnjbz1pN3ONxGSckmunRmFnYsTTwx27PMGyASuBnNczJPdz71jUhRnp29q9V8P8AgS+1zThqNzmDTw2I1Xhpfp7V2l54T0/TNKMhtVSFF3biM8+57151fM6dOXItWezhcpq1KfO9EfNQF0CTKWTHH1q6k8zWzIZOOu49q6rW0skaR1HyqeC3f6CuLmlikZ3UiPjkCuqlP2iu0cdej7OVrmu88b27RiXYTjLEdx1qhNELhUaRUwVyPQ1kySeXGCCz7fQ9PWn/AGsbBsygC4AzXQonI9DRWzsZYFSZE4+6c5A/wruvh74yX4YfEeLxNpem6fd3yIYQ06ZwhI3bT2J9fYV5K11chJBHLgscketQvJMCreY7EDHWq5dLC57an33q37Uv/CW6atje6Z/Z9sOCqyZBPuO9epeF9a8P+IPD9pPo00UkXljeEOGB7gj1r8uIp3DE5JDYJya6bQvF+taHqH2rTr65tPKBC7JDjntiuWphVbQ66eLa3P1UjEKx/ufugkZxxVee4VATkDI4PpXxX4N/aR1GwkhtPFFgNQtCCBdwNiUe7L3/AAr6V0vxjo3irw6mo6Fdi/ibqiffU+jA9DXHOjKK1O2GIjPY19SvyoHOSPvY9KxIC12BIXVYCepPH41vw2e+3WW9iWKXB+RTnA/xqSSILEAoRAORlMg1nFFSVzKFvbIkizXUDMSNoC/dFLb6mtjqAheZJo36ELytTwlneRbhFyW4O3HH+FYL2zHXjvYYJ4Zv5CqSJsbWvzxx2QnXgleF714Jq7yXt02OCpO4nnrXqXiW7kNnDZxENtPzMOwrzp7Xy5ssRuIyfUj3rWGjIZyp0tU/eO4Bzg57D1Nc1q83lWFzaKu4Og+Y+oru7td0cmQEAGQQ3bPFcXqduisjkL5jfdDe/rXUk92c84q54brWmia4ETBgWHyH+6wrhQjRXbRum1kOGGO9e+6xpLXGt2aIo3SybRnk88c1a+N/wu/4Qm38MazbQlI9QtVS9CDAEuMq3tkAj8q6YVFsctSi2rnz9gdiRg84FaVguPNYA5AwCelZZXacjccHuelbkASGzGSOT8+TW1znubc+ovBa7pPLacrkox6e7VU/4SXVZI1iinKoBtyVAH1rJkiDMRLNJJKcsygZJPvUZ2xx87UCjpuyTXRKQnudTYa1qXmLvujIQOA/etSXxPKsoVSAx/1h9T6fSuAW4fIVdyIF6nrj61Jls4BOT0GMYodQo3rzVsSyNNH5iSNg56c1o2/h7TbrS42ZHV5FySh/pWHp8D6hri2vyNI6lhuHAx3ruYIzZJ9lc+Y0YwSDj8q8jMMQ1JJHq5dQjJNyWhxt34ajgVApldy+1VHcVo2fgC61Bo2USwoTyX+UEV6FpEiLqZkkRWHkBQWAwpzzXS/LNuAlaNRz7fSvHqZjWjsz2KWV0JO7R5ZrvgGLSvBVzfJdebdRAYijPyjnqTXle1ldt3zNnqOa+o7myjudPkt5pIpIpEIcbsce9eMaro82kX0kawNLbEfu5AM5+tenlOM9qnGpLU87N8vVNqVNadTF0vTZFtftkqfNu/cxnqT/AHvpUsNnJe62sbPvw371v7opsd8m0jexwcFskYrdtnt7TT28qRRM/J46Z6V7qSPnwmUyXKW0RwqjGPWmzRi1mjZAFbqTUtpKGlZnGG6nHXFMuts8hYFtqcAetaW0Bo7Twv4iv9FDW9rKwt3cS43cbv8A69d9qvjO78QeFJ/PSJriKdECpwBkZJ/AV4haTFZQj4UZ+XArY0+O8uPFtpFZSmM3MyrLgcbQCSfqADXkZjhtOZHrZfiGvcZ0z213/ZklwjiP0x19yfWrYgtI7HMUzNKvMsjuSF9OO9Y0kl5M9x9mLTQhmCccsASM1mjR9Yl+e3mljkbGEHP4V40eVbs9aTk3dHd6fPpWp+F9R8P3CXNm80guDfwLlFYDALKf6Vu6J4fuPD/hzWjfaha3wvfKbTFtMs9wF53beo64/DNclFoPiiHSHMkkazMvQj27jvTfD8+raB42j1LXLae9syohd4pTuiH95R2qJypzurjjCondo9k0+1spYo11B3sZWIwxG4A+/pXoenmxs7cW9vfRtgk7jIDmvP7rxKltpYubW3uNa04jAKQhiAezY5H41D4e1mCPw3b22o2F0yqzMJY4t6gE5A9eM4/CvMr0U0dlOo0euw/app0WJ4pi/AKvx9fpXzN49s0sfjhbxWzobJdPuHgfkMSzqZBj+7uxivoHTBAdC1XWLWJ2gisH2TxcYz8p4/vAZrwPxZIdR8Zx3Uu15rbRxGWU8kM5xn3AFaYWHIyK9Rysj1/4SNb/APCmrDzeX86UuAehLnmvXIpIQcq0fHqK+XvBLaj4e8FWfiK1jub7T5S0eq2kfzFUViFljHqB1A6j6V7jaa1pd3pEWoQ39s9rIoZZPMAB/wAK5MTTvNtHdQn7tjthcgIAhBJ7D0oWdgx3jnPGR0rz9/FehW+7OsWWR1Alz/KprXxlotwFWDV7CR+mDIAf1rm9lI3VZHe7g5G7gj071Iq56MeT0Nc5DqMEufKkjcf3kYHP5Voxzp1SXaRzyah3RfNE1TbhkJeGNgT26mqf2aNZCQ8kefxFTLK5iJ3LIe7Ag01LjLA7iMjoRmlzPcp2DbIkeA6yofemCZhJiSLauOoGAac88fzZ8rIHOOorOlvEUqAWXPBPvSvclsvNLbbCBle/FVHuokJHmqx7Z7VkSzu4bGHBrMlSMKWdnQbeoq4oylOxuPflvkXLY7npWRcXyxxnzJSE6lSc1zV7q627MlrKJX6DJ61y8+o3E05V2JJ7Hp710U6XU56lU6a81pS5igAOeA1c3OzyygmVlI56/nVIyx7slQT2IpVG5x+fzHrXSoJHPzXHqHQlldnXoM+9cn4xXzvA8se07i4J/OuqCsF+UoawfEYz4Uugy8HByfrW9GVpGUoXR5B8M8xePtbhclcRZ/8AHj/jXsszgMNpJbIx6mvGfCDJbfGzWo2JUPa52447c16wRkAiRsjgYrvxWs+byRx4X3YNebJmeWQZJwDzx61OrjZ1w3dd1Ug0gG3IPOAM4p4dhx5ZXqTnmudJmvNqTTTCKNpnfYoGcntXG3OsC81Bhx8owq9j707xRetDpcMcTHazkMR64rz8300UkaLMEMibonI+8Qfumvcy+ilHm6njY6q3Kx6THOVt0bKqSOcjOfT8ax7+c28f+lNDAsnIIOWPuBXBDxTdRfaFnfyZ0HygDjPfNUYtY3XQ/tbzPOkA2XI5X/8AVXqpXPO5kdRcNJdqUtrCNVA/10iDJFc7Po+qLMXS6kGP4cYz+VaeNSyGsL4SQkfKXGQc1kT6rr1vNtmDEqcZ29adiB0N7eWcyLd2Hngt8zovIrTGq6VPCY1mkt2J5DZH4ViHxJqURbzbdXBbkbcCq03iGGZwk+mxdRnYvJoA07iSTaGSQTox+Uo/JrnrmXcZN00kbgZ2SL1p8k1nMzOtnd2+P7uQBW54V8MTeKvFUEMYuzp0TA3Usi8BR2B9T6UJ3FY7z4T+GZ7iw1HVrhDFE5RYWI++vU8ema+pdFhTTrBnKYkdfkTrisLw9o0Om2DJ5YjhLDyUXoABgV01xIkcAk3ASdeOh96yqSsrG0IWLU9ysNuq7y+R8+Dzn0qmuoT/AGxQXHlqPmz2xXPXM7AsEbJyD04+tY8utRwwCNjuLHn+tZqLNm9DtrjU2YSKjqu5c5BxivFPElxqNxdNIjPt3EKFJAb1zVjVtfSWJlLmFAMbVbGTXnN9qXnK0X26Vcfxq3SqUTJyMbU9ONym4maB+QXjc4z9K5S7sNbtiFimM69eG4xWrfPq1spmtbg3UGfu9wfpWUviC6hO28gDSdQmOp/wrS5ikZ8Nyyzv9siTaRztTDsfr2p9xqNzNbGBId0J5UNzVttbNxM7Lp8RLZLEjO4//Wq3Y3t886nybGFON7yJkH2oaT1Y7HLEfuQsq+XHnoB0Ne2/AK2tH+NN1c3Lqs9vpzCCMnli7AEjPoFH514zq97KdRuEmW2JRtu6L7re4qvo+vX2j+LLLWLF2juLVw8eDywHVT7EcYrmxNLnpuK6l0pcskz9NpLmCL/lo270xmsm7n0+aMCe1juFPUSRg1haVrNrrXhmy1CKRTHcW6yrz03AU6482MExyLMgOdrDmvjlH3rPc9yTla5h6r4U8E6wrC/8KaTcE8ZaAce+a851T4LeB7o5s7W70hsH5re4O367TxXpNxrVvZ2skt+gto4xud3fAAr508d/FC41bz9N0IyWth0aYHDzew9BXp4aFVvRuxwVZR6o4LxV4e0vw/q/2TRtcfVZEz5gdQAntkdTWPZaq3m7ZCCV6jPSvQ5vDvhu706ELdb5DbqZHjmx8/fg1gXHgG1DM1rq8gyASrxhuvQAivbg/dszld7jYbtfs2A43nqc12ngjQP+Em8b21o3zWiHzbpgMYQf49K4dvB2tWshMN3ZXSryVDFWP519KfCzS30LwE9zfxiLUbt8yAc7UH3QD+tefmOJ9hRclvsj1Mrwvt66jJaLc9Rmjtooo7e3WOC2iUKgHyhQK+b/AIi+OWl1abTrG7AtEOGxzuP0rq/ih43Gk6bJptky/wBozJtHP3VPVj718o31873RkZzJcscsc9DXkZPgZT/ez+R7mc5jGmvZR36lqe6vJpHlllcuWyMvniqIkyQCORzn2qB3ndcOGXd7dDTx+7hVnbefpX1MY2Pkpz5mWS0jsC3C46kVC0kfkEAAt78YpjyyqAFZlT35I+lU5Ji7nzB19OlVYhis+yUFXPT15P0qRHMkj/PhDyT64ql1kwFP0qRQULZOFx1PemTcuMwxhCNp71XLYY7mAG4HbmpQ2Y41yU7Gqk2BO2DkDpkc0xMnaYqD93bjiu7+Hnjm+8EeOYNXtSZbZyEu7YNgTJ059x2NebNxIDwQeaaZH3ZDewHpSlBOOoRm4yuj9Z/CfiSw8V+EIdY0iWCaKVRmPq0Z7hvQitdo7ne8Mrhl4zgcV+aPw0+Ius+BPF41CyuW+xSsqXdqx/dzr0JI7MPX86/S2xu/7Q0S11BQEE0SyYzwARnqK8mtScGezQrKaK0tuUkOME55PtWTeAJb7yACBhciugnZNxODgH5if8a5jUpAx8tWbAOW+vbFRFmkmcXefvLmWVhnPBJ6msO83vLjHmfL0HSuoulZ3+7kdu341zt7byeWCmc9evJ96t6MxvY5W4Mfk5DdD8+fT0/OuW1O3mkdEBw7EEZOa7SWz4eWQ4YjcvHQd6xCkjayJIrcygEdskD15q3NmfKjqPCfwu1vxR4v0i7CxW+kwSq00xYEsRgkD34rt/2s7SGP4BraMqAwCMwSD+8rAitjwHr954Z8P6nJJFukupQ0KOeIhjn868F/aI+I8+veEItEnCPI8oAK9lBzirpKUqibNZ8saTPj+2jDTgkfuwSef0qe4nIOwLnPUmmOyxwkbt3rzzmrug6Td6/4nttNtQ7NKfnYDIRe7GvTlJJanjJOTsZbTlzuViCTlscVHlQ2QGZu/PJpFGc8kjI7U4lVJ5JweCa0ux7kiMSobuB0FSZJVecZFQbi0g2gIOmRTfMO045C9ealsZ3vg+fS4r+6uLi4CXyDy1Vh1X29a0L68jl1u4kgL7SRj3PtXkk0xXWGeJtjfw7ev4V08epl7YNJGUYj5vnx+NebXw15uSPTw+L5YKGx6bZzwpbwTygsoTbgdTWjHr0auy+WphHbdzmvIrrxHOYYbNQIUXjI+Y1FBrUwuQszb4S2N2MEe9cTy9vVnaszSdke0J4ksm3eaMHucfpTLrxFpgs5MRx3BYYCY4rirbTr66ObaFtuM7mOAR6j1pbjR72IhpIHYAfeXpWCoU4yOl4iq1c4y4tyuozSJtEUkpdQOAO+Kmim3IysxcdWOOc1sT25KGOVTnHyj3rn2RonMRykgPI9a+iw9ZSVj5zEUHF3N6K4VIQDndwOB6VcjZWHJG4jJBHasKGRdp3FnkH8K/SrcE5SVVOWHYiu2LOQuSjH7xdwOeD6V13heRZfE9hjh2coCD0dgR+ua5pY5J/3cW0DgEE9aW2+0abq6Heww24lTyp7H61VSmpwafUdOpKE00euWGkzJcmx8iYXCyFSAvCkHBB9K9R0nQrayt/McI90ernoufSsTQPFkT6HDd3FjLczyJh7mBPmkIGOex+tbJ8W2M8exNH1W4Y/9MQoB/E1+cYr2qm49j77DOHKpdzRlto3BLr5QGeeuQKxn0NJFP7zzFzxn0PtTv7X1W4kC2+gpAv8P2u6x/6DmriL4vkl3RpoFsmMlkjMjfhk1zKDWrZ0X7Ik8M+Ete1XxXa6LocJaSZyFVT8sY7sx7Ae9fVPhz4D3lpbI2q65FdcH9xFANgY/wC11NavwV8O6nonwwfV9YlW61fVZMxv5ITyouiKqj8zXtZZECIruslugUKhOMnv6e9dcLrc4qmr0R+VXx/1m+0X9oi98L+H9eSTRLWxjS5h0+baI7g5LxyY77Shx6HntXmfhZprzQvFdzMsg+z2sPzs2ScyOP8ACu+8Qfs7fGXUPif4kv7XTrKS3vdaup45ZbzDSJJMzIT8p52kD2xipbv4d638LfDeo6J4huIJ9Y1PRY7mcQsSkZ85v3YPU4z14/CvenUpex5U7nj04VPbXaOE1Dx++k/DTQfDum3lxpd1GZ5LyePDPNuY7VGfugZ/GvKx4jWynV7O4llAcs8cxLRlicltucZJ5ruf+EBbxVeRTxXyW7CECSPHXnrmrg+Ccn8WpzSD/Zi5qaWLw1OFm9fQqthMVUleK09THg+JuqwaO0kF4kAU48tbZefQ13OhfGOK/g07T9S8Fw61MUCTSxxqHkI6tzgVjH4NtZzWME99ILa9uVgLsoypIJBHYcjHNek6R4M0vwddINc0ma9tFOIdTtUJCD/bQcg+44rmxGIwco2irv7jbDYbFxl7zt+Jr2GseGNRspLiLwdrmnyK2MQtsP6NWhDBpV0wDza9pcLnDNPLLtH1bOBXeabpvh++0xJ9LubO5t2GVMbZ5+naodSsmt9Fuo1AaFonVoyeHGD+Rrw5TXNZI9p02o6srwfD3R4wHa/1p8j739pS4IP0bpVS98IWlu+7TdZ1+wuEHyut67AH6NkU3w3q93J4D0Wd5tyvaLlmPTA7msPWfH8lzcyaR4VtRq+ssdrXH/Ltajuzt3I9BzU8k3K1w54qJ03hrxBeXX9o6VrTJc6hp8wjkuY/l81SMqT74PNdWJI2wVmKk9Q3NcN4b0u10Dw84ubs3epXMhnvbqQYMsh6n2HYDsKbqWtwrvS3YYB656VMoJz0CMrR1OsvL1LaDLBJMDna3NcRfa5NcM6qJYgR1PFc/NdyzS7mlPPPWoBdEEZdT7HkVvCjZamM6lyyZMPuZgwGM84OMVA0v3RucEds/rUZu7dmBbYGIwTnrVSSW15/0hR3w2ea6IRaZDasX1nAkbeQeeCO9WFwwIDFWJwAORWGbuPYFC7yCMFR3o+3yBsFHXB4x2rSUWZXRuFXADIB6c9RWFrM7toc0DEOMg8jOeaBeSjAYscnnmqdxJ5kDZbcvv0604qwXV9TzKxK23x7OdwWexx79M/0NeqZRSvzOvfjtXltwoj+N+hykg+bFs987Wr04LGeMkYHeu2rZxi/I46K96a8yZMmMEEHj8cVbiy3D7iuOCR0FZjOykbAc+3HFWI7mUS8lmUYyKwN5RMvxXpwu/CMrxBRNbkSDjGR3rxxfLnsXsbhggD7reXsG9D7GvoAypNHJG0KlHBDZPrXhOvae2m6/PbPuxu+UH+Jeo/wr1surX908jMaWnMc9cgR6isGpxtGwGC6c7h6+9Ze6aK3eEFbq0zwCc4/wNbn2sm2W2vrcXdqD8p6PH9DUsVnoksgmgnmiIxvjJx+NewnqePynP2uq3GmSMbWVvKPJST5hWvF4pV22XsJXj76Hr+dWrvR7coZFtbhh3ZWyPY1hy6XAR8pnTthkJ5q1ck6Bp5B4duNYtrG9vdPjYLJM0W6NM9Mnt9a51vEcs3yW1tbQg/xbM/jXafDjxrB4J169s9Shkv9Fvtkc8bciMDjeAevB5+lesa38I/C2vyW+seFL1bCK6Ik8uEhoZFJ5Kj+E1w1MVKNXklHR7M7I4aM6XPF6rdHlnhPwzqfizUFAkZ7dW/eykYVR6D1NfU3hfwxFp2iC0ht0t7ZW2sR1kYd/f61b0Lw7aeHPCsdpa26RpGAqDbhnP8AePqa6m2ZLO1jU7WMa5LHkg963c0jOEe497aKKAPMdqoMkZ6e1czql+rJvVF56Adh/hUur6vGElySQBnA/iPpXnl9qe7eWZgNv3VONoz0rP4jR2RLcXr7vluAAOR/tVyuo6hIGGH2E5qvd3uUdy21EPRTjNcVqOrEiWMDIxxmt1sYSloN1PUt1yY8qcclc84rkbqZro5TDsANjIcHP071Bd6gbiRYzbOSOjDt/wDWqhJJFFMhgdvtBOCR0H0qrmLL63dzaIS8vnTj5WIOAo9Pc0scLyxhpAoB5BNV4zbQxNPeSIuWzyetUbnWnnlCWds7oRgHGM0ropJmrPNawLFGpC7s5YDG76Vzt1qplIjjyI16IvpTl02e5bffTMD12DjAqdlsbaDhI17cdaynNFpWMwWc90Q7YCn7q5zVmz0+6vNXtrCzha5vJ3CQxqudx6c/19q7bw14P8S+Mr3y9F0947YHDXk4KRKPY9z9K+sfAnwy0bwXb/aXX+0daZMSXcq/d9kH8I/nXnYrMadFd32OmhhnOXkR6L4el0TwNpOlPL5klrbKjMDjkDmrEsl1bgsS23B56/Wu7uhbLZTTSbdsaFmAHYcmvi3xL8YLrWdSuU0qObT9OywtwGw7ryNzfXrivnMPh6mKqNr5nuVMRClFXRV8feP28RtNZpP5NjBKyCJRzIVJBLflXk6NPKz3CxyPDDzIyqSE9MmtbwlpNtr3xDtrG9lkSzffJKyfebGDt/HJ5r2HxFY2MfhebRbGzWwsZBjZEuWfHcnvX0vtIULU0jxVTda82zxP+0pQFTIALZIB611egzSXLPJcXN1Baxuodo+Tz2+p7YqKL4f6jcIXWVIFPK+dwT+Fd/8ADnSdOu/GMGgaz8t/Z3gudgPy3aoMYx6rwfeqqYiHK+V7FQw8005LQ3b3QEtvHOkaY2qvMZAk0tsF+aKPqdx79K6fXvHdto8TBHRgo2pGD+Q9qgGmTWviTW9e1EONQdpFT+4kSk7FHvtx+dfOGuXkuoalczSNxuIQegzXkRprF1EpbJfiezCt9UoOUd5foVNY1251fxDd3l65eSSTdnPQdgPpWUHUzM2HMhOckVXcnOxRxnnFORWMZ5wQ3H0r6GEFGKSR87UqSnJykaCOqD58gN681M8sEu/PPoBWP84zvY8dB6CkjmUSguzFcY5q1EXNZmh5vzBQGVh3FNkVnt1VlUkcAYxVORyZVwzMMdfSpo5P4ZC3B4x2pNC3IShV8YYOBwCaQ72VW4wTzg96uzBjhlYyHHPFRFFkxgMn0oFZ7DPmYcZY9qSRNyMSo/On7dsiZ+YHpg4qXyw6JkkdzkUXHymY3cc8dqjGSwBAIHOPer0kQ35BBJzx3qrICF68j14J+tVzJktCRyeWwOwEZ6HvX3x+zp40k1z4bTeF72Yvd6UdsO9ss8J5X646fhXwLuyBkg4NesfBzxhL4Q+Mdncbo2trtDazBu24/KR754/Gsa9PmibYWpyzufovqM6R5gi+8TyQPu1zEkhAO4gKOp9felguhedfmkY5ck/d+tZeozqZI7ZSAXGWA/hFeWeo3dkNzk2hO47SflI/z0rLk+cAvhyeuO30rcIDWZHYjHy9qwZk8i7IBO58gegpp6inHsU7q3YW+xVaRXGSAOntU1swg1Ab9MLLs/18XzAcdwe1b1vaBvC+/lmSTc5PcVowBIb63ZWxE6bQx6eooTbdhJLqYF9qFpaaO13PcSRwoACWUgCvhbx/rja18Q7yRZd1vFKwjPb0r6E+OfjVbO0GkWswFwxIIU8kn1+lfIbnkl23yE8k9T716GGjZXOPF1U9ESjcZQuC2fQZya+l/h/4ZTQvDi3FwijUbpd9w3Uxr1C/hXB+BfBgOzWNUjyRtNpbscZP94/0r26aUW2iyEvgEbSM4yR2FZ4itfRBh6WnMz408xjGgXHzdeKQFRySCQB9480wksvXnPyjPSmklRuJwfpXos4kWN5ZGHO31qPcS4VSdvXJqs0jMwReR3yKQOUU8gsR1JrNsZeS6eGC7iVRGtwy+au0Ett5XntySarySSH53wBn7oqW0t3utQt4UK+ZNIEBY45JwOfqa2tZ0aTQdel0zVYrmzvEXJBw6OpHDKR1B9ahuxauznRtknDNuJXtjFPlkLYACquPugdajBAlbazMOqnGDSA5BOe/Wq6EHqvhzxA3/COQq+93iGw4bpiuqfWru7XyrezWQ8fMx6ivHPD90ItSe3ZiFl7e4ru9zpgo7Ky/3TXjYiiozue/hcQ3TSNiLQ7u8uRLcskK7s4B9aXXPB8T6IJLGTzbyJC2B/GO4qpDqN5Cu1Gz9e1WY/ElzbSAEJIxXjatZKVaErxZ1OFGcLSW55lCTHL82eCc9ua17aWNwScoepJ603V4XuLu4vY4FjDNudUFZlvdNkFVGAOQfSvo6NVTV0fM1qTpzsbkbSTXwiifywzclSABWvJFi78tW4C4yzZ3Gsu0v4EClIFjwOWxWtbGJ5HmbJkcjljwPauuMkYM9X+GOqW66k2hahvSB/mtmJ4D55X8eor3u5sLVrYLaoFIHO4187aV4F8XS6Dba7baRqVjpIcGPUJoiqZ9fU/XGK9bhu9RjhiE8glZY8MyDgn1r4jiGhTVZTpvV7o+0yOrN0OWa22Ng2Vyk2FVcDtnrWvplkzaxaws4Mk06RoucD5jg/WuYF47OfMlbryQcYrK1HWZ7GNry2keSa2/eIoPcc9a8CnCUmkz2pNKLZ+klqIbeO2tlmUQ29uu0Z+6QMDBqb+0gI1jcW3mOpY4uB8o+vevzQuvjdrMkax3mqzKYxjb9o24474qJviRrk0AxcgEjOGuD0r2/q75TwpYrXQ/TRmxbwhDYRRo28M9yD+dfnn8aPEY8QfHe+lWSOSKC1+xp5fKbVYnj+dcFeeOtbmt9s+seTb7gZFhZskDnhia5Ufa57uTULx3jkkmEqpyfkZflGKl0uRamlNuep7P4I0aGfwRbyG3cAgqCvDMATXdR2FtGxRSySdlkOD+FYPhKaVfhbpcabVCxk78ctljWpJcSBP3oDR9ctwPzrxazlzs9WNkjM8RaRJqHhe7tYW8q42h7aTP3ZUO5D+YqvpGvvq2gJcBFFwB5d3bMPmhkHDKfx/SkudZjs2keN2mhU5dc5AHqDXNanG0urnWNGuEsNQkQCWPaWiuAP749fQjmtoQ0sRKVmaV9o2jPc/amSbSLwt/x8Wk3lHPvjr+Ncn4rv7/AEfwvK0Pi3UbuSb9xDDLCjb2bjG7GehNWL3WbkWbfbNCuop0XJcSK8bfQnt+FU9I0fVNZ1CLxRrdssMUaH+zrMnK26f32Hdz69hXVCKSTZjNtqyIdD8HzalpNqPEWr6k+nxKNllHL5aY/wBrbyR7V6MJvDmhaStvp4tLWKMbUSNRhcVzV5qF15DJHcADpwP0rl3tVkuS80rOD/ETScXU+JkrlhsjX1LxFDcOyq+1N3UDrWIdVjeU/u3dgOeMCpRaWilQ0QAz1zkGnCGJchAMcfhVRjFGUpNsp/ap5X2KhAHOSKiMN9IrHzuSM+wrTTIjLBQfSlUkSY2/L1OKvmDkZkixnMu552LfnigW6hRnLA568c1tEZIAHDZA4oMC4Du21vQjIqlVBUzPi85cbY9oB78nmr5uNiBTGgOO46U8ziCALtV89AvH61l3E+6Q5DLz92nzNkOyH74XlbKsCOp9KjuUQWUhRkbCkketRj5vmGCR36VXuUJt2IwoKnnPU4rS6IOA1Z1/4WX4Yn6ESbWGOpOa9N3jectjkgKTXmPiJTFqnhu5LYdbtBnPqwr0U3LYYOiZxycZyK1k7wjYwhpUkMkYlhgncD/D71ZUusPGRzgseRWfuVrpAEZGPHy9K7DS9DnuiCJRtI+6e9ZyqKK1OlRbMmC2up5QsYLDPGO59azPG3hCe88GtqMURa9s13EY+Z0/iH4da9osdJFpGrvD8wPUc4q9IFkXYRwcgh+49K5Y49wmpR6FzwiqQcZHwFJI8RYHEinqe4qt5oI3o21l4z7V6Z8QvCL+H/HDx2wxY3WZLU44HPzJ+GePavLZ4J4JSJUdWydu4cN+NfaYerGtBTjsz46vTlSm4PoXrfUdRt3TyZZDERgKTkcdsV0UGvThs3NlvQj5io5/KuQhlG7ZyeMj2IrpLG+hki2y4VgPmFbmFmeneGdC0/X7lb3yInhVsfvEHLDtXv8Aolta6dZwwQRxRwpklVGFXPtXkngy6trXwvbRqUCsC+7Hc812cviGBHMak7cYfHSsZ1Oh0U4dT0Ce9ZVVgyuVJ6n7tYl7rUYgYKVZgPmAri7jXiY2yxYAEDDdfT8a4661jbuZ2IKjqe9ZqNy2+U6bUdZk2ktsVmOFUjIHfNcRfaoXdvl56896wLzWizsAVZsZwWrmLnUdSmO2No1BHUN2FaqOhlKdzdv9Wu8SJFBGdw4y3SuWvdSv5Iym63A6vxyKybme/jkdpLrywRzhgaw5b1hDIpdnycj1P1qjJ3Ne41KUQvCjxkMMGTv+HtWelzLv8q2UyerY4FZqPvfbIyop5IzWzZ/aLmZLXTrWa6lz8qRIWb9KiUrK4JXHLZeY3mX0jSOBwAcAVaF1bW0e1Qowc4A4r1bw18FfGOvIk19HJplm3OGXMhH06V7joHwG0fSpY53sDf3SsCJbuTcAR04rzauYUodbnbTwlSS0R8vaB4Q8VeLZk/s7T5ILY9bq4BRMe3c17PofwW03TZYbvWJ5NYuQwJjK4iUj27/jX0jb+GbyMBf9HhjUYCr0H5Vej8Pzow82aEHqQK8mrmM5baHXHAPqcTYKlpZrDbLHFGgwsajaMVtR377drJ0PbpW3JoNvIWJk2yf3l71HHoVpFIMTzOcc5OK86U77nRDDyRmSzxyWsisADtIPHqK/PPxT4O1HSPGWo21pDNd2InZoZEH8JYnH4Zx+FfpU2l2LxbCCVxj72Krr4d0GPaw0y1ds/eZMmujB4uWHk3Hqb1MHGpH3mfD3wq8MxNrJvby2ura8RSBJJwm1vQete43Wi2EV1iGNriUHO4rnB/pXt8tnpVpazyG1tYo0PzMEAAFec+JfM1KDT9O0thZw3kzLNIgw20DPFXXxcqs7smjhI0jyTVJ4opXWR4Y8HAyQSK8S1PWrmL4grqdta3cU1lPm0u4on7dzxz1I9xX2Lo/hPw5YamIbSxF1eQAG4nn+cgnnHPeuqlsLEXCyQ2tq2/IMfljBPeroYqNJvS5riKbqRSvY+XtI8RzeIWu/ts0kfmQkvC5IKsepAPavFtYDR6pPEQoO8lR7V9XfFPQvtH2bUtGjjhvrKMgLGoG8HkqcfSvkXVb17vU5XlieKQk7lIwVxXoZfUhVnKUFbyObHwlToxjL7zEkJ88eWDnH3qnEoitNw27uuMc0wruRipyPXvVVvvLhgD157V7aPBJpJ/NZySCQOCf5VB5YyScNwMnPrTgyAbmCtzn8aYfmYlVbOeAKdyWWEcDAGwDjg9/pT2lUzudwx34qp5jA5AzgZAPembiwzlFJPIpMEy8tziTB3EY6EVegRJDt5BYcc55rEG8sRnPb61bViUCK5Ug5yO1TJaFxZtyWP7hWjySo5B6mofKMYznJLZ3Ec/SqySz+UzLITx2NNSSTziWYkHsxrLU25kSyQZhDBQVDZPrVd0xAxYcqcnPp6VbWdGkYsw544FR3EiScqVxjGc9aFIUrNGMeScEY64I5qW3kZLhZI3ZZBgqe4I5H60x8rOeVGOxqFT8pA5XkCt76GB+jPhtpG8G2Fyu6ENAjP/eJx3zVyAvK88k6FLmRgEUd19a4vwbqtzf/AAv0BVjdYzbIvXPGMV1E0jy6gqLJxGBgr69MZryZSPaVpJM17q6+zWK7l2sWwoXq1Z0sbnX4gw3TMoJGeBV2xtZdQ1FI9pd4+XJ+6q+gp1wDDr9y8pVVUYDHqQBWbKsaKvHFpcqsVHH04715X4x8eQ6P4WuJIpSoiziQcfgPrWxq2rmTSzbwTDY3+tcdQM8gV8tfFXWElvbbSIJQ/lDdIFPYdM/57VvQhzSMK8uWNzzfWdbvde8Rz6jeOXkZuA3OB/jWx4P0yLVPGVslwpe3iBlkGOCB0B+prj87QG5z7V7B8NtPYaVqOpOTG8zBFc9Nq9f1zXoVZcsNDzqKcp6nsFoCsSLEFVFb7o6CjxBPBHpsULv5aMQZGPGB34qxpkPmWiPGdyuclhWD4vtFl04rht+cLt6gV5qtzK56koNLQ+WGOwk/KCecdqiwzdzjrzT1iCR75cuxGVFDxqwAc/gDxXrXueOkQeb124bnkgUij97huQOgNTGJAmdpGentTR1OSDnvUhYk5OQvJ6Zq/dXuo6o1ul1PcX8yZEYkO5uR69fw7VQ3FD94AjpWnpWpf2ZqBuFQOzRMgOORnvzUyXUuPYzGR4pPnRkfPQ0wjBzyfQitLVdS+33ySeWECLt9M+9ZpJZCMbR6DvTTdieug6KRopI5lcbgwIHcV6HYXQuLWOZCCG9+Qa88C4UgDgAZzW7oF55OpG1Y/u5Pu5P3T6VliIKUTpws+Wdmd/HByDISiN1BHOKu/ZYdo+UF+xIqpF53lEEOQOgPOa01izFs2vkdTjj61405WPegulii0USfu2UeWwIz657Vxd5YNZ3bKsYa3Y/KVJ+WvSVs7qVV2QtIM4+UY9qa2gX0jGJ7chCTyxxWuHxypvcyxGBlUWiOF0vT57+8W1soZbq4lPyBRnH49q+5vgd8FtJtrm28QeLoE1K+OHtbNhmGH/aI7tXmfwi0Wy0LVpYrxYLl7px5cj4yD/dr7NsImtLFAAyMQCqKccdv/wBVdVTMPaK0HoThssVN3mtT3SNdEfw2LLU47b+zXTb5DIMEYxgCvCvE/wACrLUIH1HwJdi2K7i9jO2VP+6e1XzeXTSNcXlz+6jGcyNhVArvNM8SJaeGop7dzMsq5RuzZ7j2ryKlJSWp68KnKfLFx8JviDa3Bhk8NXF1k8NCysCK4zXPhT47k067gi8L63DJIrKpEWQDj2PSvtJfHU1vM3mz7TnpurRi+JttbQK7XRIxyM5ArnWFUXdFyr30Z+asfwL+JkenF/7FvJQF+Yta4I/PrVCb4QeMrS5WPU0utNYjconAX5fX6V97+LvjVttzHbT7AGyzdM18i/FX4kap4suLBbe6llvVYxxrGfmdD2wK6YTlfVnHOnTSukc9oXw00hdZV9S1Jr+4hIdrfzPlI96h+Isc9r4iEWmaXNNA9vH88eMAr/KtzwVpFzpK3N1qcwku7hR8m7PljrjPc10eowC7gaPAeWQ5Un+D3rzK9a1ZtO6R6NKn+7WlmZHg+/v7rwXZWciiG5iXyxEW4A65JrtItBaSQPqF492c5EanCL+Feb2wm0zUuVMbq/BB4r1TTr6K8gWQOoY9ecVhVd9TWC6DZNJsntHhMfDqQVzwO1UFsDDYpEkEQdF2q+7jjiuqwhjY56cdelYeoXlpBESHJbHIHOKyUpXKlFXOQ1G0i8xJbyQTFRkIRhfy71i3erTvG0cYKx9CueK0bphdSli4xnj2rMe382TaFOAeo4rqXmc8tzH86TcRtDHHBJ4NRyZcBiu0dCBXQPaov3gqrjJIGaovZqzgowG7oPWtlOLIcCgkTtLwQwB+UNUv2fZkuHVR1y2QaVYZEkO5GcZyMfyoZ3UNk89wTSctdA5ByqFAI7diMZoxsBJUMQeMHrSCbIOT8x7+opCEcEgbX9elLcB8cilMlmDE556U/AkA2nco6/NVV42z+7bf6jHSsq5eSEFVbk/xZq4wuyXKxbuZHzjHHPU4rNUuqkFs85waqC+lKBXbIyeGFSi8jLAyKwGcZP8AKt4xtoYOzZYLrt+dMf7tJlTA204bafvUwNEUb50Ylu/U1YhsZrj5FG7dweM5zRKyEo6nn/ipgfD2ly+YMx38P4fOK9BhtWuIiEU4bjdXAeK4ZLXwLPuG4RSK4bHQq44r36CJV0m12xj541PTGciipVUaS9X+gUYc1SV/IwtP0iOOZWcZbgnB5ru7SKKOJRGCgxnp0qOztodh3qRnPvzWsI1L5Ugnrg15VbENs74UkiSO5lQYRy4xmpPtUbACRAxx1IqERopywI55qJkLfMpV+MAVgpJltWOa8aeG7bxN4Hnt42WLUIj5tnJngOB0+h6V8rwtFeWdzp1/EUlRipBHzI6nB/WvsWSMPDw+3jpXzd8T/DsmkeJF8QWyMLK8IWcJwFk7H2z/ADr6PI8byy9k3o9jws5winH2q3W54/qOlzWlwWKkxtyrj7p/+vWelx5U8blen3wO9d5Z6jDcWLWl5GskDc46E1jax4ckgk8+xzPauMj1X619Za58s9DutJufI8NWk8Duy+V8g9ea1ftksdozy4kL9ya898M6mUsH0qZts0RLQhj1B6iugvtQzbeWgJ464rkmrSN4PQu3uu+TGzox3HgqP4vauSvNdnmLAkrnpk4/CqNxOuRzuPTntWNLMjrgNtJ67x0+lbRZEnqTzX0gVwu07m/irJludscjZ2k9lJpJjIMFZEbnHSqYgaQuQ2R3z3NaX0M76hLI9xB1KjHHNZ7yOgRsjmtNkWO3RMjcB16ZNZcygLgdR1qW0Ei5YW95qetW1hZQPdXdzIIoIkGS7H/P4V+gvwk+HMfg3wNCutGzudXkdpHZFGE3HITPU4HH4V8yfArT4YvEOp+JLhUZ7TFvakjOGYBnI98ED8DX1DP4ikW3LKyq69l5x7189muKk5eyj8z2ctoJLnZ6++owxRqilQB09KrtqoD5yAD0OeK8w07WV8QadJEuItSiXlHbG4etYtx4i1DS7o29/GI4/VU3Y+hrxnTZ6ql2PZn1XbHu3HB7rzzUX9recowxLY4yOK8xtNcWduLvzYJDxg428VFeXp028jm3M8J9SSDQo2LVQ9Ik1Ao3Lc+p7VVk1T93kSKADzz2rn4r231LTAyYLY5xWfLK8e5cfMBg8VPLqLmOsbUQ9tmN8sPvEVd0+/e8tmDqdy8E+lee2d5KL5oBnk8AGrq6qlrcyWyzgXBG7GelPkYufUf4p1YyalaaNbHcHbMpB6D0NQabqNifEVva3qlJIFaS2cdH45/GucsG83xNfXspAfhAx9KNWVY5LO9Th4Zhk57Nwa0URXu9TrNBvlKXV3yDPK0pGOxOB/Kl/tBYruU/MVS5BGTyNw6Vz+i3Gy2RMPyhGT7E0zV7lLaJblmIXehwvU4zio5dRtlfVbh21S7DkMGY9e3vXzF8RdFEWvm+t1xHKeQB3+le9eIryZtXjnKMoaNfMx03HkD64rk9TsodZSJHQlhJyAeee1Vg60sPW5uh6mIw6xWF5Fv0Pl7o3IYBRUUgWI52kt3Jr034geCbzwxdx3HllbWdcE44BPvXmbBSoPJPUmvr8PXjWgpRdz4nGYWpQqOE1ZkBfAPHXrtpy5LEMSoPPXpT/lMBIBVs9arE4UY6/TrW6scdrk8sSKVKMTuxyT+lRhcEBefRscU5GT5Ae3OSeBUjF2QKF47kmi4JCLtDAtkjr05zRuDOxGFQHsagYMrNk59aUHkDdkdx6Gm1fUZbSQedt3ZX2pDMdoyeQefSqylRICPx55qaP595x05JqbIZP5oEZyo5GM+tQeZmQHJJ6YxTWYtuxgADjimABnAzn9DS5UFwm+gAI5xSRqzTBVUbicAdqG5l9wM/Sr+jwfadfs4MOyNKA+0ZIBNU2kiVqz7j8IWgsvhvo9vEJVEdqoCnqBjmupt4t92yjnOOq849c1y1pcNZ+HraFpFZYo1UHOOMdagk8XRafGwEfmy9Ac/lXjzTkz2lpFHpN5rdhoem8SmJejY715dea3PqWpTbJWjgfkEHoOma4zUNcutVvWlunZFLY2A/KnriuO8ReLYtA0oJGRLeOpEcYfhfc1pTotmc8Rym74x8Z2mgaLJbRyLLqEq/uoR/M+lfM1zdT3moS3Vy5knkO5ifWku7y41DVJru8dpZ5DksT19BUAK7gM8Y4wK9GlSUEebWrOowYjB2hsYz719I6BZtp/gG2sUAEiwAtgdWYZJ/WvBvD1g2o+NdPtsZ3Thm74C8/wCFfUdraM8rIG+ckEFvbtXPippOx04SDep02jxRxaQsjqv7tANuemO9cB4lvg+ofJtZV5GDwRXV3l21jZRRn5PMY59OBXk+rXYkM7ZUqThcHsK4YU23c75zaVjxF33SM5OAemO1M3fvCWwQB1xUAyRkYP0pobCkdAD3617C0PGvqPdmMzDGVB5FNB5BOOfTtTDweTQPmyeFPXNNivYfklgASR701myowOc85pNwwOmM00ZORQkIk7ZIGM/lUyFg6nIDDpkVBkBemT/Kng5J3HiiwLQfu55ORml3OsquuUcMMNmk7EZzjkDpTedxOeopDufRvhCxtNZ8E2epCQySkbZot33HHBFdrb6dY2zbVth5g53MMnNeEfDrxF/Y82owytI8MhWRQBna/Qn8sV6qvjK1lmMcgKqDndjk18tjcPUjVaWqPssBiacqMW9zrwbdYV2hEz0YDFVpZI3jPSRe/sawl1PT7qMlLmPnoM8CrRjeGNTnen8RH+FcLg47noqrGWxMlxc22oRXFmwSaGQSRk/3hX13pnj3Th8ObTUZ5FnvZogUhU5YkDn6V8f+Y2VRh3yD2rVsNUisSz+YPlAARjwBnt7V04SfvWOfFpxjdHpPi3xZrGtrO87va2JQ+XaRHC/j6mvcJ/ESaZ4K0y3YkSJZRg+oO2vkmDXP7Z8SW0TgLaRzB5znhVBz+tdB4o+JmnZZ5ZgpXiONME4A44r0qrVrI86lN7s9Cv8AxRcT38skkxiTd93pXF6v45itYTGbpdxHOHrwXU/GGvatNILBGt4j0J5Y1nWvhXXdSnWS4S7l3DcfMBA/CuVxitZSsaqUm7Rjc3vEPjq5vL1ktnkkyOqtwPqay9G8R39k5kSOASvw0rL8w+h7V1mnfDK/k2+YqoCPTGK7my+H2lWMQFyrTyEDAHIz71jPG0YxtubQwdaTu9Dn9H1zVdVnSJg7t1Uxg/nXqenaLqUMKTS3Mq7uSWPJ/wAKuaBo9pZvmGCOMDhQRxXbeQwTJAfHvXk168ZfCj0qVGUd2eeatp8soMygZHXaM4rFsNTexudzbimfmQV6fceWsTLJgBR0xgivPNUitPtJ8tCADkkYqadS+jCasa9z4hhmhZY2KMVzwcc1zE9zJOWkL5z0XNVJIArnaNxxzVYROucHK+wrohFGMmaKSlTuIZh05GRUpuWRiUVsdCR39azVlZFA3Ae3r+FI0uQccNn06Vq1oRJaGsLqNpCSeDkYNR745JQcgMeee1ZLSrswT5g7Z/nVhF3KvPGM/Lz+dTy6Diy3JEHUFGOOwB5qq9sUGTvYsOvXFQtKIZxhmJJ554+lSfaZADt+7nP1oSshkD2xwztlQeMg1TZGUYwSMnAHatn7XBIcMoAOKcI4CCFPb04pKTQmjnZHdI2yWCFeGPesaW6kaTaCr4H3mrpr+IrGQpDZGBxXLvZyyzBVRs54IWuinJbswmmNDpJgSIUYd+tSR2b3BxAM5yAO4rStdCmL+bNucZAwTXSxWKQAFUwR045FEqyjsTCg3uYdtokyRq0qk88Z611+nxi1jUrFhBggmmC7kDrmMHA6EVfW6juQqyKwwvOOK451ZPc6oU0keKePomPw215huJCyEH3yTivbNLuo5/DGmM7EbrWNiSePuivJ/HigeEdehRSUw45HrXfeHTLN8O9Efjmzj4/4CK2qu9Bev6GUElWfod3aooUFSNpGcetWygZw2c9sGsGIKgXO9WXqB2qyl22Mh1YE9xXmyjc6+bQ1d0qHLPkY5XrULtuXhVHv2qqt4CMyZXI6nvTJdUtISQ9xGAByOtT7OROnUtCMiMhmOfU1zuvaVb6z4avdMvAv2adNoJ/gPYj3BqO48T28aMtshkJzjJ6VyOoavd3gbEmOOADjiuujCaaa3Maji4tM+adSsLrTNcubO4P761kKFh39D+I5/Gr2n67PCBBPJ5kJP3Tzgd66XxdbLLdpdAkzdJz1O3s34V5/c2xgkOOQcH5RxX3mFqupTUj4jF0PZ1Guhc1x7YXsd3as8d0mCGUcfjUkWqx3caESDzAvzgnoaxGkLNgNhscqayplxcNJHkd8itpQTMIyaN+8cE7jvIxjKmsd44Cw+WXb3yarLezoAHzInY45pWvoy3+rIOfXNJJoJWZYJjFs0aZU55P96hZAiADCgDpiqb3gzwgAPrUfmu7gL17VUbkOxNNKCnHygVnvJ+7Kc8kc5pJJSwIwxyeajAzyDgZ5yadtBdT3b4dXj6f8PkVG/wBbPJNgdzuxz+GK9APiO5ttZzjdbYAkHr714p4TvlXQETdtEMrI4POd3INegTFZokkUllZB+NeFiaN6rbPbw87UkegnUzb38GsabIUOeVVs49j7V6nDcaf4v8M72KR3QXDDuDXzTp2pPazfZpsmJ2yoz0rr9O1ifSNWjvbVnMbHDqfSuKrQ6o7KczY1Gyv9D1Mg58snOVHBrodJ1m31LTvsF0cgr8hJziuoS407xVoI2sgYL25KmvJtW0u60bWGCsylcEHoCPasVaWj3LatqjprXUrnw14l8idjJaSNlXzxya9GeSG8tY7qFt+5c9etePLqltrWhtZXY8q8UZikxzn0qTwx4juNL1NdK1Ft1uzYikY/d9jRUo3VxqfQ9EmnSzSWTd+8CnoOg9K84hu5ZPERuPOmO4k7ieMntXV+I5HRZZIXDK8JZT2/OvP7ctHYI68OeTjqKVGDtcJySPSLLAtJWYH5mBY0l+6y6PcIu0/ut2AOmOaoaTfR3GjDEibsck9DQ93EzSJuUrgqcd6hQk2WpJosabOqW0bmTK5OPbPNUtdkkutS0qxXLCa4BOO4FZumXQFoVccruTbnk4PFXrJWuvG9jIS2I1JB7Amr0QtWaupaW03h7UbzDvIJQyDGRtHB/GuHhQw6okkR78+mc9a9tuFig0lbbenmPlcsOMmvJtTtm0vX3t2CnZhlcfxKemK4qkm7nsYCr9kh+KEovvAX2S7ZJJ4EALA8EHkGvki9tXglGwEI2SuOmK+h/FMrDT2hDM7OMuT82c9M15bc2TXNmIWXBAIUD1r2col7KFujMM/w6r2fVI83JbO0NkildlBAHAqzc2slrcskgZSDgmqWBklgSO1fRwaZ8LODi7McMkgMRxTxIzOFydmefemkqwIHpyabnDZGenAqmQiYkFDkjH1po+8CPmx2FMGABlsfSlQbiSW2/hR5FEgBJGeMdj1oL9iTx3zTNpwxDc0mcAk4I7nFFiU9STqMk9OnOaCeWO45PWgsMcHOM44poHynIzzx70MdwwAc9QOmORXoXw+tV/4Sxr+eMyJbKWB7ZrhLS0mvLtYbeN5JWbCqvJJ+le4afol74W8PRpqVvJFNcxh1bbwfauetNJWOihTcnfsdrJrcjxMihhlfl3HpWJd36bly5kbOWAP9awZLyRyXOVUnnPQ1i6nfxQWjuSdp+6M/rXOqdzp9rZDvEHihrOGWO2dDIRtX/ZPrXkM9zPc3LzTu0sjHBLHOKmvbp7rUHlcsVzxin2Vv9pugpwIxy5x2rrjFRVzgk3ORpaVYQTeY94kjRlcRhTgg+orVj8N20p/4+5I8joQDWjawBp0jChVA2qVFdHDoMjlSrkYIYYPSuGriWnuenh8IpLYs+BPCU1t4sknkkSWLysK6jkZPOR617pZ6dLGfMA3ENyQOv0FYngyyjttKlWVhJI7FlO7PA45NemWcUTW4YAqD/Ea8zEYmTZ6VHDKMdDxzxvO9rOkGSFCFuvQ4rx2e/BtYYXZS5fpjpmve/GNmt5eSh41lAXYccHJr511SxvbVHvpY2ihWXaAw9DivSwlSMorucGIhKLPOd2UAHAByKOAOOc800H5QcD3yKd8xjHyHOeCK9I8gaSG56++ehpxGdvJpCcEdMdelSbcgcdOaLANVQG+7xnkGg5Deg9KceG5BHf2oyWToe/U09gEUctx8vUE96d1iJH489qj5BGA2adklSc8nqfWk2IcO57DsaXqcY+YcUm7gjbtB6n0q7Z2z3NwoUOwz1x2/xqJSSRpCDkzqfCuiXt8ZpLZW4YLya9HTwbqzJ5haJs/dw3P0roPBmiNp/h1RPEI5JG37OhX0zXokFgwYlZCgHY8g/hXzOLx8vaOx9dgsvSpJy3PKrDwxc29+sk8kZ2NnaFOTXqtvo5nsIy0+GYAlSvJrVtreJbpDdwh4xyxXtXZQWem3MSmCXygeSD1+lePXxMpas9alh4wRxMfg+OdcvdPwMdOCfrWBrPgi+W0dLYyTbx96NeV/xr1xbWSLeFG4f3l5OKsQybGGR8wGMY71zwxE07o1lSjJanzJF4E8YFHtoZ5IYCfmZV2sfqa6HR/hCz3Cz6zdk85IU8t+Jr6MhWA48xSSe2KnaGEv8uNwHGeea2nmVeS3sYwwNFdDidJ8JeH9Jt8W2nxtLgYZxuaunEEbQKPKj2+gXFWhBsZsgEjn8fSlHL5bH0xXB7SUt2dcUlojPkgjVXCh1A6VnwwfvHkYb1z+PPtWrdhDGwLY9R61Xg5QhR+A4zVQvuQ9ye18pG2tujGerDIq3PdRW8BbcCxOetRs8UKZJOcfNuPf2rjtTuDLIwQswU84qoq7InKxNqWr+dujAOM8HNc85STG4goOoNVZI5iwcMxTr8o5+lRmRliBKqD64xxXVTppGTZdMBkDNHnYP4s1WkjYhlDMc9cjtSwzK5GBtJOMMuKlEwAZcEDdyGHb61qroiyKogwnzKWPr3Poaja2H3UchiMgt3NaZnjlwOFGMc9ajZlPl7CNx6DP9KrnDl1MVoJYwQQHQjPA5xUYIPQFSRjitZ42YMSvAONveoHjZmKqBjAPTBPtVKZNtTNIbefvEY4IpgZimCFCgYHNXGiJypGOfTpUP2S7O1VRiCf4uRS5+4rO5F5xZDwFG3DEiljdy4VWYDHHvVj+zLoxF9hBGMqRwOe1U5FurWdnVN2OnGaSkmNRa3Lq2dw6gvliD+db1rHawgiSMFsdG6AVxbeILuE/vEO0EZJPar9v4jtZyPOXvwelNwnYE43O9jjt50HG3jKmpjpwIMiMD2Dd65qDU7ZmUpPySflYcD6Vv2V1ujUhwRnuK5Z8yN4pMQ6ed5AUHkfMDjFNOnoN2X2EL/F2rbivUEOJUzgYDKaUtb3DMr4OBjaaydXWzG4nhfi3a1rq1mzYZ2zk9/lzXReD77b8OdHDFlH2dV56cVQ8ZQCPxRfAFCvloR7ZWuU0a/nXwxp9rhkjQMOvUZNepCHPRsjz5S5Kl2e2za3p0MLRyuvmY5UNmuau9aSU7bY7IwOCO1cMZt7sWfJYevNQT3wtwWaVAuM4/pShgmipYiKW50M+pXrFi87Fc4AB61SM7th5GJx05yKwTrMSQmQvExxkKD2rEk8UoJQrKQoPOBwK7Y4CbWxySxlOPU73zUUFdyr3BHU1E7/uzgsQfWvPpPFSu/Efy54JPT2pqeIjJMFztHY5rVYCcTB42nJ6MseIFZ2lbaTEvyk7etefl1W1eGRvZR7V6V9pF3GUYowIydwrj9ZsIkDFNqyBdyY6H2r0cHV5Hys4MXR9onJHHyLlTgZccgk9RVGSJsNnIfPIrRyRwFIcc4x09ahZeXlU+59TXrnimMQwYnAGOqmoyVZzlc+tasqKw3BV3kZJzj8aqC3ctkKVBPPFFiXqUtidT9cU9YfMOAAST19BV42ihd3LH0qe3CKvyIN2ejUMkwZYtkzdvQ1CRwPeuvj0u61O5W3s7Oe7uZfuxQRlmPvgUap4S1vTbIJPoupo5xkm1Yn6cA1k5q9rmns29iPwk5fUry0DYEsG4AdMg/8A169O0ebzdHWGVjujYrzziuG8HeFPFN54shNp4e1h1IZXc2rIACOOWx6V7Pa/DnxcZTv0h4Hcjh3HUd+K8/F1IXtc9PCQlynJ3kLbTJGPmU8//Wq5p98VjELsQvoxr0Nfhr4nmtMywxKw6Dr+tYc/wv8AFsFwxtoopYm6ozEbfpXA60erOxUpX0HaVqtzpOoLcW7/ALsH51z1Feuwz6X4r8PeXLgSbPug/Mh9RXlVv4N8V29oEn0p3/3HHStnTtB8SWVws0NrPHgjOCBXLVUZapm8L7GLr/hrVNJu3lRDLbA5jlBwD7H0rljqHmL5d6uG6ZPUV9K2ct3cQrFe6fvOPnBwQR6Vx/iHwFHfK1xptqVc8tEycH/dPr7U4VrK0hSpvoeWW3iW4FrHpeouWt1YrDM3JwexNJJeNaXk9rK65Vsrn+IEdq03+GfiWaGRIbVEjIGRO4B+vFLJ8OvFDaXELptOgng+WCWSbhx/dP8AjXVGdJ9TFKp1RkWmqy2k7lXIVgc4rZivzKocuR3APf1qa1+Fvi64bPl2IjP3nE+QPf3rpbX4YXkSgXOqwySngLHHnH1NZ1JU09xw5zj4r82+pTByEB+YD04rq7S6SysrG7L4aQZBHUD/APXVi5+GGo/aPtL6hFBZhcM8kfzY+nrXQ6H4Ks9Q0Vbaa5u5LKzUgSDAeXJz+VY1HCxvTTMi51qPUrfyY5isscmU3HG7HUD3p11Fbamtj9omJuIZAJNgJLJ3BPtXO+IvDt9pt7c/2ZbXGoaONoVlP7wsc8g+oIqp4d8SGLUU0/UiV5wk5XGSOqt6GsvYKSujSnXdOZzniiWG48Qz/Zo2WIyEKAMcDgVw00MomZjgAEnHcV9BX/g2XXZb7UdHWPzYI1JgI4lJyTj3ryC4smE8sUquJgSHRhgrg9K3ppwR6c66ranAeIbFJNOFxGUZgPmxxXnsiMH525zwK9rlsmmgnt/k4QkKRmvMdWsXtrgMy8k8cdK9fBV1azZ83mWF97mMHIwTweOaViCgUAbs5JqMkgZwCfelPK5Y8noM16fmeI3YccAKTnHTFMzyTgrg+tGemB2/OkwAg45P5UeZPMSDHlZOeegH86OAT93aO39abgbuSB68UhIwcnBzxmjVCFBw2TyakRS7qO56DHWmADPRixPavW/hj4StfEHiX7Ve5ktbVw7p/e9KyrVVCLkzajSc5JI9V+EXw7ksNNOvavaRmSQq1qkq8qB3/WvXdb0ux17QprO9QlSf3bj70beq/T0rUeYRWCrEQIPL2oM8gDpWQLlZA25tgGQQR09frXzVTETnPmbPpaVCMIKJ8xa7YX+i67PYSoFaJv3b/wALg9GHtXmWt3YaUQeYzuDk4PAFfX/jXw83iPwbNFa+VFqkaFrRz3I/hJ9D0r4luEmS/ljuYmiuEYpLG4wyEHkH3Fe5gqqqR13PGxlHkloRxo0kiRxx+Y7nAGepJr17S/CC2+lpBOF+0Mu6RlPT0FY/gLQBd3T6rchDbxHEAI4L+p9hXrwtgJd6gHacHNc+NxVpckTqy7Bpx55HHWvh65i1DMWJEBySeeK6+HTZI7R5HAU44UqTg1chFxBcFyDjHI9/pXRRSLeNb2you/cHkxxgD+deTVqtyR7UKUYQ0GabG6xCFONuACBy3FdhFPcQ6TKXDcAZ5+73qnBZKcsAu5QSCveq+sCeDSSkErIWGMHvmrVmzmSZzOpSJPqTt9pAIGSPc1w2paXLqunz2bOpjkztbG7BHQ1Dqd7qEU8+9QwB52nriudPiK4tG2hJUVvu5OOv9a64UZ7x3M3iKbdp7HiRPzZ7DpinDOPUYPHepLiJ4Lt4mwGUnOKhP+yP/r17i1PmmtSTPyemTkZFIpwQSCQO2P1oBIyDux2zS8nDEnkc4pvcBzHsc5POfSjoMnJHb3pP4QcA+hPJpuflPuePYUhjsDtyD0JNJwQxAPA6+lJ2yRwewrUsLB7qQB1YAngY+9Uzkoq7KhBydkFhp8t5OuFfy88981774U8IQWtnDcXUQE4x5cZH3Pc+9VPC2gW9rbw3N0gSZPuRnonufevToVVvlXIB6Bj1r5vMMe5PlifXZblqhHmktSeO3lWXJAZfTNWFZ4AC3mq2eVxkCpY5Fi6kbccbuuKm81JTt3KCOgbv7V4bbZ7UVoSRXzK2GTcoJ4WrMdyjOWV9jn+VUGiDR5jYq+PugdKFUF9rAf7XrRypoJNnTWuoXcUilZvO+bo3auhg1OOYqs6BSSeB7V58jMvTIZj2rq9Hik80PIEkj2jOawlFRC7Z1kahvuSMO59DTXjnVwMGQAdENWUa1ONuVI79Oanwf+WcnnIPwJ/GsE7s0SMtLqTow5J6MDkVbhnJzu+dR+VWZBE2fMXc3TGOlM+zoy/JlTjPHH40o26BqJdQxyW67G5bp6isr93ZwuxkyxHHvVm+fyo8E7/l7HFcZPdTGR1EpK4zt9PatYoiTVyS7v5GncM4+boGrJkZlY7A67hyQelTEgwYkAK54LDmpEMT2zZIAIyDW0URKzM9nIBBfOCOg/WgOCdjBvX5hnip5bYnbtPIGSAe1VirRkkFhjqSMitYshRbHrbxshKqGJPWq72sy5ZDnjgYqwLg/LvXcBycCrayKSzKfMccY9M01NofIkjCYMjNv3oemccCpNzeaFAEvYbeoreEZnJHlI5I/KpLfRElZihaIk9aUqqZCi2znmeQEkYbHGCcZq5AHmcArt9QB+ldL/wjskLoSqyqfU9ad9migf8AeBl4wMj3rN1V0NVS6jLLR7d1LuShzyDWzHo8KxkJhu6471U3gv1Ic8bgKlS6ljztcyKB+Vc86kuhcYRJnsmVdvluqgY4FZFzp8OPuAHHJAroItTRYv3u5cHHzc0sj2k1o33c47N1rNSZTjc8uvNNgacjyleNv4cc/wD6qypPD1lNKRuMRzn1H4V6NNYqzBtw7/Wq0mnMjK2zdnnIHFdka7SMvZx7HnEnh6aEN5U7N83RjTlTVrMYXzcjoyniu9e03IQAd2MH/Cq8lmwkIV24Hyqegq41+5Psl0OWh8RajbsPNRGQHJUjBrTXxRaywA3MUkLN0IGcfh61aniiiGbhI1UDJBxXneva9ocZkhETQ3A7g9DWlKh7WWiMqlRU1eTJPFGpQSeIZmhuPtEctuoB6YIrjLfUba2tZImcZydue2TmuUu9TluhgyKGDHaMc47VhxGZ7ksWkJY9uhr6ShgIwikz5nEZi5Tdjs7rWpEuiMspXJJXrWPd3bTMwcs525HOKy79pBFHLxnGHGfSqVxcfvIyJA+5RgN29RXfGnFbHnzrSe7NZN0lrvLlUYY5b8qqZDRuGIZgem7r7VH50bCNDkqCSRnp61BHF5iyZICE568n0rVIzbfQazFmWLaRtJBLUqO8LA85zjPvU/kIlkkrSBnZxty2frVOScO4QH5hnAFO1x3aNi11SdHKmQgAY5qyZPtNv+9dmlxwT61yxeUspUDB5x7VbhunR8A72PP096ynSS1RpCu9mLcQ/Z5Ny4II5x1zVF5dsPmE8HqorXDNM+JNgz6Hgf8A16q3MEcZ2AbmHLcd62pzdrMwqJPVGWkjScgBPQt3qcSFYWEnPfp0p+3BBxyB0xVORjubg7R29a3uc+wqzAAFlJ3d8dRSERrPwWznGBzk1bsrcTxsGGeCfYV6z8LPCVtqniT+2btUlsbJgUUjIklHTn0H86yq1o04OTNKNGVSSSPdvgd4Lbwz4cn1vV7aOPUr8ARxvy0UXYexPU17r51ioJFvAznn5kBya4FdRfIA+Ugjj0qcX5CA7jgg5Pb6V8ZXrSqzcmfU0YRpwUUdut7CItqhADwSqgfyqNbqINkBQe2BmuLOpBeSScdab/aqqwycA9TmpS0NFJHcfbEwRlR/dIpiz+aAA3ykfSuK/tQbyEcZ7bjUZ1mQLk5OPQ4xUq4HbqlrnBTfk9G7e9OJtEhB8mMPn0rhhrfzld569d3FI+tJ8xO449T1rSMWFkdtvh/hiiBx/d6U5WhwN2dw44PFcMNZErjynV2x031A/iA2rv58MhA64bg+9L3myUd6JrUZJjUL9OtfOHxr8YLa+JtL0aIhEht2uJVQ/wATHC5/DNeq2/iKxvk2wXKpLnBjdua+MPitqs9x8edaEjeYYvLhAPGBtz/Wu7LaN62vQ5MfU5aWnU6nTfHmpWKRJa6lcqOC580gY+ld3pXxZ1CzlkkkMF2oOQJQMt+XSvlwXzCQtgHjr2FTJqL4VVkJOc57fSvflhIT3R48MTKOzPsm++KdvrenQQy25tA7f8s5MkjvXc6X4y8Mjw6sNrqEUVztwUk+Ug18HRaxMJgVf7v8WeRWhB4gljQtvkJZsk5riqZXTktNDpjj5o+6ZmhuJV8l4pIZXDuIyCPMHOR9RmuG1bwVp17rupzRIwYxq7iP+IYwSB/eGK+c7DxldwTI8Ny9synIw5GD24rtdK+Kd/ZXMtw0hnL8OrjduFc39m1IfCzpWOhJao+ivh1BPZaJeWc8ouWVw0E2PvxkcH69QR2rzb4oaL9j1+LVYo/Lju8q5A4Djv8AiP5VleFvirp9n41ure6nSCC8YMkZPEMncA+h/nXo3j7WYNb+GIisLCa4hicTy3qjKR46jPqaVWlKMPeR1YSrzTXKz50yEv1OQrEDdkflWJrFilwruUw2PTj8a1522uGZ48g9N1OaKSfTfkZVJwTk9q5qU3F3PUrU1ONjxe/0+WCYnnC+1Y2xjIeffNeu31ikm5XTgHr/AI1yt5oo3sYVyMHOO9e7QxUWtT5jE4CSd0cXyBl846cUEkP15HQYrZbTZ/4VI56dhQukzE/cI+ldXtIs4Hh5djI5YM2c5P41IqF1JIyPpWqNKlDYPyDGc54q1BEYplht4/tNyf4UGaTrJDjQl1MeSBoYAzAqzdAete9fDcTaLoMF1PGy+ex3qRjI7VzWieDXkuVv9bwzBtwg7L9a9Gdvs9vlVwFXAA6e34VxYirzLlO7D0eR8x0V74jlkuFgtSzA8Ka3LG6k8lFnYLIVBIz0NefaUBDcNeTHESn5Ax5J9a2Ir43EgliR9qtkH8a82dE9GFa+53sV4GY7vmB4JxxXgXxl8LpHNbeK7KIIJWEWoqo6N0WQ/Xof/rV61DO0gLZbnlyD0/8ArVavLO213wve6TfpiC6haL169D+FOjU9lUTDE01VhZHzN4U8S2thoyabdEw4YlZP4Tk5wfSvWLS8ElosqESRuNyFDnIr54u9F1Cw1640yaNjPBIUJxjdg4DfiMGvUvBul6rYaVcfbAWgkIaNd2dv0Hb6V24yjTtzp6nNgK1RSUGtD0WJ5Li5ACNgYz7eldZpcC/aJ5WJcACIHjAxyT+dYNjPaxRBgwWTnaWH3iK3Ybu3t4I4p2jS4I3SADkE8148Yts9arLljodfbQq24KcHgHJ49653xDM6SurMojUhl9fxrYstQtvsu8XAIA3ZZsE/SuC1zW7W4muCZ4uHx97oPb1rWnTlfY5JVEtbnGXu1tzSZzkknqDXmmuXCf2msERwIgCeOcmu11DVoF0ie6bLRqrY7E88V5hBvmJlkyTI2SPXJ4/DFezhoPqeXiaitoZ2pWQFgLuNt0gbbKgHKj1+lc6fTvmvR7X7Mkdzb3C4huI9jMeoHY1wF5bta6hNbsRJsfG4fxDsa3ozvoZYqhypSIMHj69KcODjknrj0pMZbBJyOpoIyTnnn1rc47C4+b5c4A6+lAOTyAzdAAKF3GTaoyT/ADrsdA8NT314hxvkJHVeF+pqKlWNON2bUKEqsrJFDTNFlu50LpI+4gKgHJNe2aL4V+xQpNPGrzEfKowdlbWieHo9Ktw5UT3J6vt4Uewrqog09wsSRM0pGSAOhr5rHY5zdovQ+uwOWxpRvJamAkRUMfl5+7gfpV2G4kIxsZiO3b8DXoGn6FbgmW6VWdhlQRkVrpo0JtsCKNXGSDjA/wD1140sQup7MadjzlJ94G9ShXkDHH41c+bsGOcDGM4rsW0dTn93GzY6+mKjFm0MmNhYEY3betZe2VrjcbamDbrKFwQ5+bnj2q7HazSNsET4JHDnp75rYWUx4HlbVB5bpj8O9a1pNAcBggY/rUuTtcEtTPstF3sJJWVQTjaeRXQrb/ZyqRggn7uKWJ183EbqnoB3FWVMnoSvY1yuTbK5Uyh+8YMFGSDznrVpHmWUAZUnkZ6CrShG+fjgdhj60LHwShyueQaamhMmiu3ZyJgHXsRUs9zbJDkOYj0yxyKzXlEERZyFZjxj+VcrqWoPLPgbdozzmtIwbZm20WdQubppSQdyA8Y5zWSxDLiYMh7Hoc1XFy4nVi2znGV6VYNysqES7Wwe3P5V0ODRLIgjKmI23DHQn9KYQ4AzGCT/AHen5VdQIWyjEP2zUgQsP4jjuAMVadibGP5ziTCESDPzdj+dTCfcCCMv7DoK349ME7cqGxjOByKvxaCiZOOSOQTUuqkXCDMJLMXHJUlj3WtW28P7tj7m47GtVLfyo1QRL8vTaOlXEdlJw7DHY+tc9So+gvZ6lUaf9lUEox56+9WFC4wqqMHjsalW8kHDIzr6+lWN1vJhnAVupyawcnY2UVYrblR8b8D61C77nCmMtk9QMgVM9oCW8l+vY9qgInhjYeXkjHIGePWpu0OKSIGtLeUEqzo6nseufaqU1jdRfMjLMMcKDg/StWNoWkOQFbHTvUoi3MdrhiB6801OzHyI5pVm4e4LoM5Ckf1pRFG6loyVcEke1dZ5f7orIkbYHII4rPls7VySMwvjJx0pqqrktWOdZ5o5MMxeI8g561bjvkWBtwyVGCvXNRXURhbKZf09TXPXDTujttbd/Ft4wK2jaQjp5NUsxIjBEYdGA9azb2aExNMJVUt91hwB7Vxl7r1vYW86XibWAzk9z6ivJNd8a3c8b2sDE254dSefqK9HC5fOs7pHn4nG06W7NrxX4yUR3FjbTNvUlZG7/ga8be/lubkh2Luw4Y/xU66MhxK/IccspyT9feqPloyFS4zjOMYIr63DYWFKNkfJ4rFSrSuxwMnmhsd+cH3rUVfNjf5sYBOR3NUYQrxDcCoIGDnnPpVmS4i+WOPf5gOGKHrXUcbQhLSDaQ2ON5I61UuLNmaVAjBlwV56DPWrcl3BFYNEjCTLY5HK1n3Goln4fLEDkHHbpSsybk2wRo24nCcE4qKScqxKltrYAYipopY30uVmdQy4Ow9wfSsN7gK7biWAORmmtSm7GvLMF8ouTtAIIx3rOikYT5IA4Iqu9yznHUH07CpFf5SFXcW4x61WxF7lsbnjPlgru4/3RStPHE7LEC+Bgk9KhDvDARg7yMbsZpUiVoS7nOADjOM0PuBYgZyxZiVHY1cDosZJyzk/KD2rNNwTheUQDovWnGdclwNrE859qQ0i8EjkOWwdy5PNVJ4ooI3eRhgc4x2qSLczI4AAA3EseOaqakrTIQVLlfu4qk2mKUUZE+oSPE6Q7lQKenBavtHwJawaF8LNHs5BtmW2DyBR95iMkn3r4rgt2/tG3jZSAZUBB9NwzX1bLqckMKqrkIqAZz044FedmesYxO/LUk5Nnfvqii/CtMUBOM59az7/AMSwxXU0Ud15pU4PPHvXnFzqxYsszMF/56pzj3Nc7qN1Il4jq4EchG4qc/N9fevMhhVfU9CpXSR6z/wknmxZ3LGev3j0pf8AhJYomxK7BSvDDoK8fTUSmcFSvrmnjU1YbXc4PAya1eEM/bnsU+qztaia2mE0WA4I9O/0rJHjGSFmE6+bCTyv8S15dFq11p9z51q6yoSQYySVYd62TcWOvWhktJBaXvBe3Zh8x9qFhO5f1m56XFq1tqUHmWEwf/YLbTWdNrdxDIySI6rjuea8peS6sbxmhaSGVT8yiulsfFljfoltqsRifoJlHJ96JYdLYlYlPRnUtrSzsz20pt7gAYyeD7Yq9aeMrc7LbVU2SFSNwPB7Vw+oaZMkTXmnyC6hxneh5GfUVzc94ZFXz03SocbupNHsE0N1Wj1nUrFLmAXulTFbgLlSD1r5r8WabrN14yv9QliaZ5WBcg85Cgc/lXfWev6hpV1vjPmW5PzqxOMelbV81nr9k15ZARagEzJDnlx6j3rbDKVKVzmrWqqx88y2t5bxZmtbqFR/EYztP41WWRiwOQw7EV6pLruo6JqcWxlltjw0E0e5WHcEGtyGz8H+MLdjFaW2mauRzCG2h/oRXpfWXFXa0PPeGu7XPExMdpGSD61LHcuCcNjHP413WqeCoLSVl86e1YH7rHIArmLvQZoGXZcRvuHyk8Z9q2hXjJaGc6M4vUqJdSE527j6+lWluiMDLKD78mvp/wAA/DD4dj4dQ3nibTr3xFf3sSuw83atscciMjHHuea2bT4b/DTS/GNjq1ppeq7bW481be6uWljbH3QwJOcHn8q455nSUmtdDuhltVpO+5w/gb4TQSaDH4q8eb7bTJFDWemAlZrnvuf+6p/u9+/pXuus3r/8K6uNKtbSO1gMH/HrEMLCnbPvV/UNY0LUrmGS5tZ5pYm3Id+FX049qiF5p8unSwuHczPmRiRlv/rV4mIxFSq7s9/D0KdGNkfL15iORwxw+fTt6Vp2b7rDZuww/HivbJPBHhe8uvNmhnkL/N/rOBVyHwr4aso9sOlxuemXJPWsZzurG8Z2Z8/39kWUyIcgdcDkDt+FcpJJh9jK27uu3tX2BDp2nwpiCxs0QDj93kj/AB5rD1nwnYamzTQxJHKvZVAzW1GtyuzMsQ01ofK6xzCP91aSkHnBXFTQ6XqU8gMaRQJ6sc4r0jUvD17p026ZCMZOexFUIUdWAKqSe2eg9eK9OMk1oeY07nL23hKJpt97dSS5OQo4BFdVp2l2NoG+y28aOO5HIxVmKMglHUA46n27VYCncAG3MDlt3A9qHNtgoxHKJFx8zB26kdqzLubzp3iQuI1Pztu4JqzdztHvigYNK46g5xWdIYoYQkYUnHIYck9zQtXcmUeiJtxYpbKfMc8AHofpXRSBbDTVUc55bjqe9c9oskaTzXkwaQoPkGOpqxd3E07tJIxcehPBpdQi7R8zRhvwWXB3K3BB61v2moDyg2WcAZ9OlcLGyHYrMuCSauvcyNHtRyM8kYwBWbgrjhUaRJrWnWt34tj1E+WWK5dSM7jUgZFjA27BjPep4EW9kithJ87fdz6jr9K6C38PPHOxbdJgcHriuOtU5HqdmHp8yujG0+0efVbYsrvE75f0AHtWzqmn/wCmSXCHcjH5h3/CtO2tnXUnZQzC3ULg8DJ5q+6GaKMEBjuJIpRlomVVp3dkchdO9po0zZwqpnBHOP8AGvBtWvC9ywyyrkjryf8A69e5+KF2aEVWTDMehrwbVYGMsm0qxHUt1/A16+E2uzycXG2iOdmuJ5Str57+Sxzs3Zz9K0raMApk9D37YrPht5TeCSRThRjH1res7UvPFgFiW+ucV6N4pHmqLerJm027MgjiUTE9GU5XHqaytQ8NuZCXkNtN2DD5a1rO8n067BXAOeCa9Fsb7TteiWG5WNrhhgBwPm+lcuJp1KS5oao9XCTpV/cnoz57bTLtLhkaMMR3zxj1p66Vdu6/Im0ngmvpGHwjBPbm18lSo5O1fm+ma37HwTpvlhHsox65HIry551FdDvWQy7ngeg+GJZJlJBXkb5CuQPavcdF0Z7e0FvYRkhjmSZhgmu+ttF021tljhtYkweVIGD9KvGGFY8RpsJ7Dpn/AArx8VmMqrse3hMthRirLUy7TRXkdRNPtVey8YrstPs7JLdI0jQYz8xGSfU5rD3uoTIO0c5XmrsV2ynKtnbwNx9a86U3Y73DQ32suVaEqzdweKVldDkgnngHpn/CoYLsyOuc7em49c1p+fBINgAIGPl/rXK+YvluigAJCofAzwcmrq2qyQlDgjPQninmzicbgfLfOeBxSDzYHBO5+OCKRFihPpcowQFZSeMmqQtXiA6I/YY6iunhkdm3YVi2eB2FSMYZlZZE2vjA7YqozaBpI5VJZoyGdOvTA6D0rQS8G4jIBIHGelaraXEI8RHex5wTWZNp7BgFjZSAASR1p3uyVctNcK8WGzuB5waY8hQMC7Y6YPWqEkU1uh4GewY8H2FYF9qE4G0DJPUr1FWqaIbuXtQ1DMJRcgDOSetc6xxMobnPDDP+c1PEkkzZZyxOCQR+lbcGnxK4DYAB67smtl7omrmGiTSKpVM88elaEenu4yUZH7tjGa6iC2to1+4MdR6GrbxDYAAR6AdxWcsSJQOai04oys438dB1/GtOAQxyqjICf0FT42c4wxJyvp705oRLhlw4xkY4wannbK5S4LmCUgRKA5PUDmpNztIuHVxnovBzWOYjG/DvkjqelWI5WQ+gxk49aGmyrtI0HDKMuBk9mqE/MQGKdOR7U6LUCSVfn605mjd2woXJH3e9ZvcHqhm0qoC7hnGMciqkm9Zssm4Hoa0gv7vIZsHnGKqt5br5fyk45IHJrNSsNdimJnDyDcy8/wAQ5q3BqDjGUDHtxS+QvzYZWUAcHt7VCYxu3BSF6HHHFPRi5bGorWt1hZkAbucYxUxsEjUfZ7j5u6kZ/CsgZKsmMjqB0/WnDckin54zjopyKSRUZMnZ76NmSWH5OgKnP500OrqQwAOMktV2O/kjZFEfmLnkn0qR5rK4B3IqsRz2qOpTRjTrFHGwXMuT34rgNb1H7JbzuyOCv8Q5AHoa9CvolgsppIJN+wZdT1r5k8feI3t7h7eF9khb96VfII9K9LL8P7aaSOLF1o0oOTOO8Sa/Nqd7LGJgTGx6dMV5zPLK7n5ipHynFSy3CPOZMESMck56c1XZ/wBy7EnY5+8O1fd4elGnGyR8LiKzqTbZF9tcNjksD8ykdfpViKeF4pGZzFKOQvrVEMyXChdsgz36/hStG+RKqOFDYY44NdOhimWZbs71KgeXnnHr3qO4u0Z1KApgcEd6rOdmRsJ7jJzVJmzgbGHrzihJE8zLTys0/mRs7Nn5vXFVTNktkg85prMQcfw9BjtUO7dlevvjrVJESZaE7C18vLBD+VV2ckE5U1GWG3BJzTSRsyDz6ihRFcmSTgnofarEc+yQEZyD61QXJ68A9QDUqZcBR37k02hXNeO6LBYmY4zzV4tEIsYDsMhQfSueZ8TKAQGxVuF33hFwzdsd6hotMusieaOgJ7DvTztVhwcAcseaWNBsIaJhgdM96hkcnZuYouf4RSRXQmDq0eHPzjkGnB1jdSJMoewHNU2YBRtOecjNMAdnJdyccH2qroRdcRSXEO1jgMMe/Ne1yXS28b/aAXVkGSDz9fwrw+JjuVlPKtxxjNegSasbzSo3IXzVAU4rixcHJo7MJJK5q3slxbz+ZA3mWcgyrryCPesGSUAs0JzG3Dxk8H/CqdtrMtlM6SjzrV2+ZDzj3FWbhYZoTcWrg7v0qVC1i6krjXnCYwV8s8Bv8feozcK0+1923s2e1QRuN5ikAZSSCOn41DPF5S7JCGt2GFb09jWliEy0L9oGCSktAD9709KdKQ4W5tpHjkzkMp71gmdo5lgnIdcfK3tTWnls33Q4MOfuk1o4GfPdnUw668lyIr5gkxGPO6hvr706eGOVQ8bZyflxXPG6s72Ah8ZI6elQR38+mtsVlmh/useaj2Y1M6iz13VNHfCOzxg/MvbHpXR/2lo2v25f5LHUc/d6I59PY1yMd/Z3cQG/a7HPzfSqtxaRSlZIHZJR/dPNZukmaqq7G9PC6HG8nB5HUf8A16zRNNaXHnW8jJhh0496zY9WubNxFeKXj7ODWqlza3cQCOuXzjNNQsT7QytfvY9QljmceXcBT5hA+/8A4VzCTSwTBomZGDZDqcYNdPqlmBaGRDnb69RUfhrw1qni3xpaaJpFs1zdznHT5I17sx7AVvGUVHXYxlGUpaG9pniZNSsjp+rEGbGI52HJ+tX9H8KT+JfiBaaF5hjKFppXQZJjQZbHueB+NfTujfsseFIbeI6rqmrXs+3MjJMY1De2O1dpo3wKsfDPjTT9c0PV71jbKyfZrs+YHRhgjd19K8mrjqSvyM9ijl1Z250cNpmnWen+GrK30qJ4rVI8JGZN5U98mrMthJ/ETljlmHY12MHh2TStb1aEwBLeSbzIl/ugjkfn+lW0skMYOAR34/zxXlqdtT03TsedrpMuJGJynOeMf5FPhsmDKRuAHAyOB7V6AdNTAY4I9BTpLOJc70IYcjbQqoJXWpzltE8UYJ4UDgd6sMwY4U5wOOOAf8Ks3DrC5AXkKcKeaxZ75o5AGKBSepoWrEaflNxhT0ycDoabjZtJ3F+x9Pas9NWs1G24vIo+O7jilk8Q6NFEWNx5mTwI0LZokmVy3IdRtBd2+JwN5POR615rrOgfYvnhAVepUda7+XXftKlrTTtQl+XhniKD8z2rntSh1q6tir/Z7QYG7+JgK66E2jKdO6PO3UQBmLALnLH3qlNdM+BD8sG4AueS1bepeH7m1UyvcPcsTliBjp2rm5JpElICFcZxgdPz712xs9jzpwaLG9YFJG0Y6A8npVBvMmuFBIZivUdKFWe5RS5YDb34OM/zrRijjhtyQM57k/rTTRk7hHH9mi4J3HoSMge9VjISRhwoHcnj61YmBkgYAqEPQioY4sEKBuBB+8eDTRPK9x6HILts45Axjn3pfN2uUA44LHd0+lSkpHCy5BOOAPeqp+VFIwrZyScGjQtb3NiymMPiDT3DYUy4OOlepR3JUgFgQB6YIrxCS4MN5aKrbD5gw348Y/Gult/F+pxePk8M3wivbjzFjLtHsddw3D8cVxYvDSqWa6HfhsTGmmn1PW9LgV9HMlwCZZ5DIcjrngfhjFV76B7actDzgdBzj2qW21ewlCRq0sTfdGRkfSlLkwSFQrZbJI7gdq4YRcWdHNFq54/4qkL6iACfk4xkj615FfureacFjj8ea9m12BZYb64bO9sqpI9a8gvbJvNMcgIB4yF4r28LUTR4+KpyTuUbaPFqSoOepXqf/wBdb9tGFt2lUbSFwg65J4H86qW0J3jG487SoHT6VqgL51vApwd/mHjjA6Z/GulybdjnjHS7OJhlMulZOGli4wOjCp7aYxurLI0cgbPXkH2NZlhLG12sRVju4Izj8auOI4m5AJDdOle2mjy73PavCvjRUWK01ktLEnyrOo5APHPrXuUcMUlpHNbustvIuVwc7vfNfFNtdEnzEkI2thgD1PsK9U8OeNtU0rThYo8UkQOY1lB4B7fSvnc0yNVnz0dH17H0uWZ66a5Kuq6HvkqsGJONqkA/LwapuFZg7btpHbpmuJs/iNaSzLFqdq1ke0kZ3IfxrvrS6gvrNZbWWKSM8h0ORXyeJwGIw/8AEjb8j6jD46jXXuSuyNZF3DGck9x/Kho0diUBVuuOxq2LfkngnkgqaeIJNgBTBJzuAz0/lXKtdTpg2Vg08agEA9yPb3qeO4kJZwQAegFWFt5icHaT3z6VYW0DyeXICkjHrjBH0pOaYO9yxbzlwjFhx6E8mtyKXcCSVx0GO1ZK6bIpbDlgPvEjrVDxDqa6H4PudRLIHiG3njk9MetZq0nZAkdcI4pI/MAwP7yjqfSl/s+d0DLhgecEcrXz7p3xNvH8m3iULYWx3vI38RznH1Ne1+DvGUfiS6uTErLZxxqdxHG4n7uauth5wV2b+zg1dO5uQW0xufn3xkHHzDrWyluSi748gjv3rTV4ZYMYEnt71DNHHGu+J2Vj2LVyqVyOVGHqFhZyQH5gnoM8CuFvNL3z5CgxqMZHNdXfSylirplQeGU81kSTmMgIRzzyO9bQk7GM4o5v7K8THa+047dB/jViN2i5wxyADxU/l3LztcbWbnjB4z9KnDll/fxum0ZJTmtOclR6lZbqQOwJbcOwPFXBeqYf3bE84yah8pZwWVeOuVOD+Iqu9rKAxBQMp4460movVCbvsaiyK4Db1cN704yBZCN2xeuMc1jl2QjI2jrwOtO+0MPm96EmC1Nxtpj6Buc8moWjBUsvyN6HncKoCcmTbwMnIyOlSrPhtpwQM4J7n2oaY7XQrGdGO+NmT+EqOtTWwkn3GJZMJ1yM4qWKRnjVjsIHQE9a045lTaR+7z6dP/11g5ajSK6yEYjBIIJyDx+NNZ0YoXU89CBWkVimdg+1mAyT0qFrIbAYpMkj7prJSLtcoHeVIQg4PQ/41IN6EMyMVYdCelLJHKkpBQ4xyQOtPTG1g5wpPAzTbH5EeUZcnKED86rNcEE4G7H+RVuTY/3CNw4PFQNAAm3YSvHINNTCyRGHV8gkoRxxxVaYsIcoxbHU4/lUjIdj/McZ9MZrKmvVgjZ2UqCP4ev1xWkLSM27HN+JNdis9PkWW4IkCnAU4LDFfI/iHUor3VDJCWUE/MWPX/61ep/EW4kvZzsl8uVTjZIdpPuK8FulkDvtKfKecnkf419pk2FjGHP1Z8lnOLblyLZAzskmWUbSOq84pEYSOWVyvGdvUVWSRw3zDHrjvVmFo5DsYMJC2BxivfskfPEy+Vne7ZzwMHG006abdEEkkJj3cYP9KqzW88Z3bRtx1zWaZTggnkHoOaVrhzWLbyIMYct6E1BJImA2ec/NzUDM7EvjjH4CmiJmbPJz29apEuQ87WHYr1NIBum5x7DHWmbGVjuPTtQhbzN3IHbFBJIcYA/i96YqguVOAq8rSfeLDdnuc96kijPHyk888UDS1BkCxAnktyKcpCxjaSWq/JbFbdJmHA7CqMm0ykbQD7dKlSuN6DVZQSzkN6CrEMhDb1G33FQIrEbmXd7VYATapQ7mHJU07hE0JJJUiUMcZ5BY81UklAII7dgevvUilWAJw7gchqZLsfqoDAd1xmkN3FW4idyJkX5hxz3qVGi2gMiuv9ay5I3idcqR3GaUu4XaPu4zxT5RcxcaUK3GduT8vYVrW9wI05kXy2PI71zruON3PPapopWAIK7h70pRuOM2mdHK8e1i4DL2kHvVNbuaxuQVO6JuSB0PvVGK4YO0TnjGUJ7+1KJgYzsUSx/xRk8j6VCgaOobg1CI7ZCwwaguru5vATbzRCIfKICeT71z77RJmCQlD1DdVqJXlXkAjByccU/Zon2hoXBnEe6eB4sDqBnn61RF+6LsyrqOoZake/me28lmYKx+Yk1TeGTyWmwfLBxu7ZrSxm2+gG6G7Kq2SenpSG7d8BlBIHB71XADcnHB6VKCAwOM1XKiOdkiXLowYbgR0NW49WuY24Y47Zqhw3IBzTsDC7lANJxRUZyNcaysqlJgWDcnIpVfA8y0lwcZxnkVkBQVLbQEzkkngfjXrXw5+EHinx/fRXVpbPY6Bv8A32oyttG0dRGP4ifXp9azqyhCPNJ6G1GNSpLlirsp+DdL8Q+LfF0Gi6Tp73s0v+sfHyRL3Zz2H6ntX6HfDX4Y6T4D8PGKziSbVbgA3l4y/M5/uj0X0FT+DfBmj+BPC6aboVnFCiqDLKRvllbHJZupru9O16DzPLuoWhlHGccV8zjMb7Z2joj6rBYH2SvLVnRRW6xWyvLtDd8iqd1d28LEGRQcdM1S1PUQiHb6ZHPNefaletPKAm4KOSc8V561R6bdi1rNwlxq2UJPy4yB1rH/AHaQh3KRqo5LHAH1rNlv5VjBWAvIM7pH4VR2Ge9chdaTfa3dmTVNQlhsCx2W0J25+tXG1jmk22bGpeNdGsVmFsLnVpYwcx2URfB9CelefJ8Uta1i+ls9I8E6hHImcSXjeWCfXvxXoFlb2ml28dpY2scUAHPy5J9zW9BB58g8uJB0JwuMCtFUitLGck7njNve+ONQuzLqmnx6bZD7wt13vn6muotk06ZFafS727b+F5c4B+ld/dz3dsQvlBsjAyM1nGS/2MAsYbdnBHAocm2GxiW2jWMrPJDosVvu4JZB+fNaiWFnakF4Yt/TPoanaW82/vMkYy27isbULkiPqCxPABzmjVi5rIrajexgLFATuHBP9DWHJKm+RZG3Owxubt7VHMSSQpPucenbH9azpIJHcsDjP3T3x3roSTIlO4y4vIQF3IrkAAnPU+9cXqKJPcMy2zpjJC/jXVtaoh2KN2BkZ6/Wq728R3E/OerY/hreEuU5qi0OI5UZBCZ5K46VDJvPykcdgO9bV/a5kJjQE8ZOcAelZDoVtiuwh/Ru59a6V3OWSuyvtYnYFUNwSMY/GpSFE43nDrnG3vT1VEVXypJHHOTVKWbDAs/y5yMdSPU1S1ZMlZD3ZdwblsnlQeDiqc90oYhVzk+nU1XluCSQpHQZKjqe1QSyOAzMpHAzuHSr5LaidrCiK71LxlpGn2ytM7vu4B6Agnn0r2rVvhfHaa94f8XrqN8dav71nuIJHBjYGIhdvdduBVH4bWdsfCmo6q8StciUxRylcnbgdPQZr1XxXDcP4x8JQIGZI7J2G08hiUGfyJqJVHextSpKSk+3+Zh6T4ZmsJNSh1ErvOzyWjbIIx/PNVdWt201WaKQKWUqeP516JdkSapngDAGc8sQK878XNM2rCFCqggDB/z1rz5bm3K+axwOrCMWUSvggjd689q4qawFw7gMCMYIZcZNdHqtxnWJFwPKTCqw5yAP8arIhMiqrq475HOalXgdLgpnGz6dLb3HmiMqpOFCjgGoZzjUZWCqvlqqADHUdf1Nd3MFi0O5mcqDChclj/nvXmMUrOcsGDnJZic89c16uFm5rXoePj48mnc88t28p0kUcg5DY61enmaTlRycnpWaZWPzqclug9KuLKjJtIHTAYHmvcTueOkTQSBLiP5T7/Wt6GZ8K4UNz8xz0rnkzkD5VPUNV2G48oEMmcfxA471SkJROvikLxorI7AnG09cVcsvEOreHL3zNOuN8JJO1/mT6EVgrOSIn3BXbB68Gp2u1luBFtBUKQAPXFa8sJxcZK6ZUak4SUouzPdbH4sQyWETS6SskxAEuyTgepx6V1GjfEnQru7EV1A2lsW+UyHcjfj2r5ch/wBBniIlby3+9tPzfj7VFHq8k93NatDEBv8A3cmeQK8ypkGBaso2v2bPVpZ5i4NXlf5H3NZ32l6jdLDZ3CSTsN21fvMPb1ralsB/y3ZYwO+ea+KtN1a9huYmM1xGY8GEpIQUbsR6fSva9L8d6xrOnKszoLyHEUxHGDjr+NfL5pw/9Wjz03ddT6bK86jiJclRWfQ9lgMEYkZzK20cb+B9cd6868V38Op28kb2/mwq21VA+UCsSe/1Bp5Gilmu7lBtKiT5Yx2/Gqs0l55YFwmJccqsgIP5V4dOhrdnuuatoedNYWq6tNHFZTXXzFlsIR8uP7zfj2r3jwA11/YF4s1m2nLHOFWIAYHA9K8buRrLaxenT0g06ArmSWWTDSYHb2r23wDOIvAKnz2uGkmZnkK/ePt6iuzFNunZip6RPQIpzEpJfaw6c9KqXOshztVjJg8lRzn0qrPHHJGxL7STn5T0rKPlICgUNj+6cFvrXj25WQ7s0pZpDHhDkk9qplCCXkHDHhR3NVlJWRCrYP8AED0q6XdZWBQNjHKnio1voEtQwxYLuwvWhovmOF5Oeh4qyGV23cIq8D2poDM5QD5frVJu5EUZ/wBlLln24KnhlbBP1qL96mORIgyMH7w/GtPYFcjhQOcA8iopXUxncp54BA5qrhZGT5kLgRldnX5SOc/WgwDawXGMZAA7+tWWhDTMAykYGQeo/Go2thGpZHeLB4zyKtPUnlZSl3RyHcd3oR1p0bASKEYkK2MgcCmhpBMzFXcEctilKozEjcvTJHf2xVPUexooU8w5OwA8lf8APFTtIuD5bAg46/41keW6xbl3Y5zk9RUaySDKDA+nWs3ApGy91LHGqlG2jncBTk1PlV3EEnoazEuCE+Yk/KMinI1uTll5bknHBpcqBs6OG/B5kAIz0Bq2TbTqeVU5xle9cood+Y5VGPvbh/KrkLyo2HKMfYcD3rNxTKTdjd+xSLGDGwIB6ZqB0ZflxjnGaiW9IXkvzyQTU8eoRzZGA3POam2g90UbmRhEVQFjjoR3rnrprsRSBoIpkYEKV6g//XrrWWCU7lZkIPrivPfFurS6NpVzLJdW0EJz5fGD/wDrrahGUpJIzqWjG7Pl74iHVU8Uyyajtyw+RBxsHavL2bfMeWIz3rpvFGpzajrD3c0zybm+Uu2ciuUBBlOVJz1welfo+CpuNJJ7n55jqilWbWxN5UhOFwoxzuPSnM28IHAkI4+UfrTA0cSsHbr2zk1dtpbYKQ6ybiByDzn0rqORDS7pbvEskmxgN6sMisqQR7mDfKfpWlcSNLO4QhMHgZ7VlOGRm3MHJqo7CaIt3JQLxn8quiKUQ/KVLnJwp6VQABc9QKmWZo5NyN82MCmQnqCbmlRH4x7Us8e2couQO1WjeJLHtkwWAxkDHX+tNQiRgZJNwXGD6+1TdlWKka5GVGWAz0q5asTA4AOeuKaQViLjKYBWoomKXBySuRjIocrjSsaEk+61ES7RtJKj1qgq/NkqMDrnvT5ZmLklRnoOKgMrlhvHTp6UKIpMHkcttPyqOmKkilQHdty+e9NKNy+NpI/Op47F5bdpY25xyoNUKzNXzLZ4h+6CSA/ezxUQa3ZyJXPzcZxwKqI/kwFJBlguQDVBpR52/wDLBpW1KkzRljCxLuw6L0IOcVTdF27g2QOmOtIkpVvvcHjjpT3MTDenD91PQ0yXqVizEZbCke3WpI3CEDaWB60xuZucgEcDsKNxUAcemaehJo3DI4WRVB+UdB0qidySZAx6Eda7LQPCOveJbKdtItVuViUsVDgM309axJbQW8rxSxusysVZG4KkdQfcUU5wk2k9UXOlOMU2tGY7uG9FfGC2KYWJ+8Mg961fJU9uATzimmCPcMr7A4q3EyTM07QQygN34FWxHcXcMaMBDbIepPH1oFtHuI5BxzjjNRNBIBgSMFx3P6VPKyuYqXEKwytsYMm7ANRAkDcehGM5qZ4nWTox44OM1CE3S9SvuRTWiFYQHPrjtXS+FvDOseLvF1touiWxuLuXlmI+SJB1dz2Ufr0FZmm6Rf6trlppum20l7fXUoit4Y+rue3sOpJ7Cv0F+H/w7t/h74CSyjjW5128TfqF2qcsf7i+ir0Arhx2NVCHm9juwOCdefktzP8ABvwh+Gnh9LWy1Gxtdd18rk3t8Ay+bj+Feirn0r0G01i/8LM+nXVvDDbxZ8uJU2qo9vasy68L3NxELqUzoFPEiqePr6VIYJ9UgXTNVn826iX/AEa5PPmL/dNfMVK86jvJ3PraNCFNWirE7fFrS7W5d5bOb0Pl8itS2+JPhPVYzBHfQrcMDgMMYNcLc+H4obgwJbRys3V9vyg1TPw/0/VbqNIdR0m0v8ghnXJU+gweTUxUWa81j0u01qWfNr5xkijXK3Dj7/1rXtW026QRySsG3c46GsSx8B6xpnhu2thdrqbucyzl9oY+gHpW3D4Xmht0bzGVxyT3z6VlfULtly80mCW2RLcK0YH3mbnPvXP3WlbHU7tx9j0rZYXdpbkOshU8A+tVY4JLlXJZlx68Crtcl2uYZh2RHy4SzE44HNa1qzRQCIpsLfeOMEH0qz5LW8wdv3m3nB4zUsjRzJuI8tu+RTULIlldznJkKEdie/4VUmeCONgMFwcgcZzTbuXaFG7kDr2/Csx5FkDY71drLUgr310xUBAGz1x0rkLhWfzHlO3Pb0robx/LUMSD6DPNYYCl3LnLZ64ziqWxlNMpeUAS33sYXgVHKMYfYSQSMAVd3BgQSME/iaoXDEZCsMbc8HrzW0SUjNnLGX5VZWxhjjOPpWTM65ZVLYGATjk1qSAuxBBXK54qj5O+dwwOBwQP51tdWJk+hnrAHOX+VD17571Sv7WMQ7wq7j93nj/9dbd3mGHBPz45UdAa4rU9Qdz5Csck/O2eAPQe9awfMtDBpGXcS7X2h1XA6+vvWc8hldDlQcDJA61aaNm67d/XJOeKhbYxbZtSM9c84NbJmM46FcxFN3mDcBzuzjBqveSotluV1zjPTirkhURLuRlHOSTz/wDqrltZulS2ZQBtC84PAPrW0E2Yy91H0L4LvbTSPgZp8+oTwwJM7TyszhRgtn88VzOr/HJLrx1HdafZRagtpGYraeXKArnjI7/WvnDVfEWo63Haw3LBbG1QJbW6n5VA4z7n3pNKUmfLEHcPWrlhkveZrg6rdRRSPeX+Lnima6aVGsrYSkthYsge2aiHj7U7zWFn1GKG5IH3kyp/KvMVwoUF+vb+tWA5ULnAGO56Vxypo+njQp21R6RHdreIZkf5mYsQeO/erasAxTBGcnI6/X615Nb6/c2Gqo0BDxodskTciQd/06HtXsVtLb3dpBcRAIjRgrjng+tYYijKCT7nkKrB1ZRi9jD8TzC38Ox2qFPMncLknJCjk1we5hG2AqnOAM9a1/Ft2D4oECFSttEA2Om48muSvrsW2kyyIUOV4x0z716WFptUzw8dVUqr8jjlVSylSeBnHvUu6LywJAAoP3l7+9U1kIyoAAA6Y4qTaijMjByedpNeqnqealYnaV8HDZQ/3R0qzEwKgBwcddxqk0mDvRgh6iljMbDJ+VieXHQ/hTuM2VlkMcaevbOcVpW4Ko0pfJJyAe3+FYCTPHICV8xAMAryM+1WnvUmlVSSiDIx3FaKaQuXQ6GWaKOzkc7jGUzn19c1z1owEvmkgYO45HI+lQy3DvGYI23Rk5K7sipYwYwGU+mRV8/MS0b5unjgfDt5irlWzXY2Opwpp1+7tIzT2qzAhyMup61wL3am3zGmHI29K0NMlF6IrWKS5En2dgN5xHnjBNc+LtKk09rHTgpTjWi1vc9GsNYgdlb7PJI7LhkEpGa2pfEs8KH7PbW1qu3ozZx+dchY+FtZuLqBIp4YmYhfM5/n6V3o8EW2lWZnv2lvrvPO58oK+KqxpJ2TP0KjGtLdHNWcV34g8U830QJ5eSZtsa8cDivpHw3Y29jo1jb+YskccAUbOVb1Oa+fYbe2tZPIgiAkkkCpgZO48CvfdIsn0/w7ZWzMwdYwJueWPU81w4xqyR28qSszrLpS1qNoQZ6AdMVgGJ42BDHjoB39aZLeKt8wt7ja/TG6rEd6h2rPEpY/8tAOa8xxaIloRK+DtaNXOQT/APWqdWjYlQ5VwcHsasqlvPGTFKrsO2elVzaEICVZXA570roknSVgjElJcjnPJqwsq7h8q8dxyaxzG4z87hs/Ns7iljuJBIS2XTHpyKOUVzYbY7ZJGenuRSGKPDHjfnIPes7z/nXDmPaeQ3ODVje27dgqR0dRkEVLhYuKHNABEGfJ/ugdaqSW8s8qsCPKUY+taKnzIgQ4kPT5e1TxKhYrnYx+9mlewPQzhAqIA6HgcAHNNkskljYtlHxyK2HUBflIZxwOMimNGECM5+bb+NHM7k8tznZbS5hQMmZFxwM1V+T5BKqhiTn1roWzsPGR1xnioBbIY8zbV55bH+cUSqIdkYTD/SMqQTnbg8ZNAMcakMCDnjNXZYojOwjQqijud24n+VRmDjJI2+56UXugYxdpPzBly2cg5qdFHmFkcnnop6/WqvC4CuYyDxkZH5VVMzCViuVbHJUcVSQ3qjb6K8Yy+4k88c+1RfvIYS2SuO2M5qul9KkZUornGBtbNRLqPnT7cEBD8y45GO9JxCMipf31zbQtOjxE/wB0Z4rw34kaxHq2nxRT30BCffQHJ/SvRvG+vQ2OmNJuSEsv3un6etfIWt6pHearJNF5iAtk7m5Y19HkuDc5c76Hh5xjVThydzJvUVbossizAn7xGOBVHeV4yV+nU0s07STMwLMT6io/vLuJ288ADpX2EVZHxMpczHYfd82dvf1q7Gilsl9uOS2M4/Co44mwCxXcegpwYwb+oOMNjkUw5bakEjhZDtZ8nPJpqovybt7N3/8Ar06NGklLqDnPFWRH5cbB8EDqc9T/AIU7gUpHyQNgBz6VCQd+e/arIIdy/ICnPt9KqyupGQMZ60EEfO4ZIPvVmMtGcjGT1qBcsoAHftV5U3sMKRjtSdhokMm2PY65LHIOeBVPeWcjOM/yqzdneFZTjjAUHpVUnYuAQMjGfSlFDehNIScMrAcYI21JFErxM0hZgOQF61EsrMqZVcjv61NG+EcBAGxwRVCumEbAttbmP1HUc1tLAsFtvi3lJF53f0rC83Mx3Kwb+IVca5LWSnJDJ8qn1FLW5UfMbNDvQ5cls9xzWbIu18gnGO/ar5ncqpKnI/i9agl2zoCDtkz83oapEyZT3YUZGR65qzHOFn2vgqw4BqoyHdg896UAkdeexpiTZckwV4xu6cHtUGQAFxnjkHtUYPz/ADcgcZqRscEc+5osK56V8N/Edxo3jS0eKZok80F/mr2b4x+FbPUNHh8e+H7eIRSrjVVjXoe0mP5n/CvluylaO6V0bYwPB719U/D3xbbS+GW0vUNtxBImySOQ5DKeMYr5/MnPD1o4in6Ndz6vKIwxWGlh5+qfY+Zwf3p3HHHI6ZoJIY5DcDjJ612/j7wqfDXipmtf3mlXLGS1kHO0Z+6fTGfyrghJjC8ZPSvoaFaNWCnHZnzWJw86NR05rVErLztwckc+1IUU8EHNNLsnyk7ied1SEfMBu5yDk962OZEZixjGRyePWtvQvCGr+KdcFho9mbmYcyP0jiHq7dAP1NW/C/h698U+MbTRrHiWZt0krLlYoxy0h+g/WvrfQPDk0tufCPgiE22nIB9v1HHzSN3LN3PoK83HYxUVZbnqYHAOu7vRIwfh34e8JfC29mubmY+IvFc0e1ZIkGy3Xuifj1bqfwFe22HxCRsGTQHgQDAMgJI9a0tK+G/h3QbHzb0vdXWAWYnk1R1S/wBBsD5cdjcMCc5ByP1r5StWlUleW59Vh6MaS5YrQi8Q+Ob62s4L3S7aCfTyMSxH7wPofrXEXfjjSbnR5b2K3mtbmKVQ1ueDuY44PpV6+8QeGns54beG5M0w2sjphTXl2rwQfZ5bYxzOA6z28kYyzYyApqowUjSd7HSeLfGU9toIggkX7VKAT5QzkkV4jHpPxQ1vURPo9tdafErgieRtn/Aua9T8FeCPEF3q39o6pbbLZP8Aj1aU5YAnP3a+kdHtbO3svskgZpMYZmHJz6elbRmqWyuck4up1KXwy1nXYvCEeneKJIp9QtwFaQZw/vXqFzsmTdFJ5e7jJ714he2+paf4hlWSWQx5+WVO611envqVvarI1y1xGRkbzXI9ZXOiE+WNjcvIrksVMgmTHAxisya68qLaq7iD0/xp8uou5x2B5Oe9ZUrk5Kk7j1Oaqwm0yFy5HmGY89RVCeWccI/OflBPAqeRjsy5yOyjr71CWXynbaAcZK9/pVJmUmUJJJSuC2cddw5/Cq01wqRqTwQcDBpLy8jj4Z0UnkYGfwrmbi984vtzuB4B/hrRxbFfQt3NxukLMwZ+wHSqwgkaTexIC9NvGQfaqsUjY3HB3HnPXIq2biRtxQEqDgN7VolZE3uhxX5dq4UAdDgmq0kargMCx7BhnFON0sO7GXkJx67fpVeaZiGB6kEg9+e9CjdkrUge3LGTruwMHtj2rNupYrcBkdTIOeD29Kmub5hs2YwB8xxxiuF1LUpJbporXL5OGcYrenTbdjCo7bDdW1V3/cxnLty0gPI9q58W8k0pEYJZerZzipPK2cN90Dk56Vp2KMjKCu3jDA9/St0lCOhnZtlaHTGFqNzKXByMnmoLu1I3uMYBGQOQK6MsWO4+XGoOOvoO5rO1C4iitXkIjCFeQeMGpUmypwSWpw9/cNbiQk4YEgH2/wAK8z1e/a6nEERLFvvZ449q2de1WW71Vra1Yuw+8wH4c1nW2jADc7b5Seg5r0aTUFdnMsNVrytBGZFAABlSMdwa3dPtnjkDsNiDp6j3963rbR4kVmlIPc49KmnWOOJghIAU5wKyniVJ2R7+FyeVK05GZJIFK5YDAKnA+6KyLu/ZmaKNty9sHGai1C+Mh2ovyFeSD374rJUknbuG0jpnpXVRodWeNmuae86dNl2NjgEjJJwDmvcPC9wbfwTDLcJlYYSQTn7vuK8W0y0e+1a2tU3ZdsHH8I/vV61r95BpngR7a3Zl3KsKkcZ9awx1pcsDgwF1epc89urg3mrTznrLIWJDdPSuc1q63QRQo2N3JGMdO1W95AU/JleevGK52/lM2pMeXwcA1204JWOCpO7uKG3g7CAD0AHShVG5TgtjoWqltkMjfMQu3qvFSfaJAAdzMO4NWZ3Lw2ckBunOemacW3jOApxkk8VS+1ZI8yPcB2H86lE8R+Xbg9t3SmnYLouICAWDuD/d9KkjlBUhl8zgnJHIqnuVgNpAJNSJJCsTbyMdC2eaaYF2IKeDGycclepqaR4huwZWOAFAPGBWXLeqGAGS3btUttHPfXQS3gdnxnCmqc0kVBOTsiwHEsRUCQyZ2jn1PNep+B9NiuLqWWRHZEYDnjp2FZOhfD3WrtVmvS1nB1x/ERXstto62VmvkRrEAoDFzgEjvXi4/MIcvLF3PpsoyqpzqrNWSFl1EWmUt40gKtkdwTWLqnie5mJDSupL/MoPB98GqerXZRijsJmGRiJQQM1x8rKbjDl33MMRrksxrxVTT94+pnWcHZHV6NqUUXimC7uo3ljR9yqDyzDp+te7S63LNpoaH92HUducmvEvD2mxm7t5r2Lh2+WMdR9fevUSAFXbjao4x2rhxSjKSEry1ZJDdpbkSeVulC43FsirbavdMOHhTI+7trKEZZ8qhBHULUqpgFwijBwW6YrDlW7E22dFYam0kqJcKuexHAFdUl68bBWwwB57ECvOoMq7Mu1sc+nNdBY6krAx3Y2Z5DHqK5qtNN3RSdjrxNbSygKQrHj5uM1DJbZKhcbfvEY61WiMEsIZDvUE4NTJNLCMb9ydgRzisJJ9BtortAxGfmwv3cdT9arl5IJkKs5Jb7oGfzrfW4glUHIWTPKnig2yIzFVUs3V/WnzdxXMsSASLnMT9Ts6mnC5dHBJaSME5YCp5oM/eXaMcMOw9KzSDAd5yA35CmkmTd3NhbkBtyttbGRnoT2prXAF0qSLknkselZeVfCsPLYjO4dKm8x4kVXG+En61DVi1Ky1NYLEFUB8g5OD601omk4BDZ6jHArM3OV3xtgd1Iq3Dd7ZHVm+dV/iPBrNobjcebYRjKqcevpUDWwGRjkDPt7fWtNbuOZCDhicd+9WvLiYrt+8TTQcupys9mrLy2eOOcEVn/ZXIYKH29yT+tdfNZszblx78cn/AAqo8Xl7AMEnG5aXOPY5Nv3ch37kIAw3So5Gj8gs4UsB98DnNdLLaq7PvySF6NWTcWuISYcIOpyO/wBK1jNXJaPBPiDDbNpU1xeyNHIR+6UDLH8K+a7hdrYQb/TC9PrXvvxTvZLSAwYEs78GUjhR6CvnsySO+9WIIbn1r7vJI2oX7nxeeSTr27IiOQ2cnnr7U9R5jlVBDAUzHmTMxbGTzzwBViJkTzGIJAGAMV7LdjwkhQSD+7O5tvPanlkZwGBkfA2gHgH+tQRMTIW6djx0FOjZDdhgSTn5QaYMfiMQqZXIVeiqcZNJJmYjIMceeuaJIn8xpWIIJO054pkknyg4y4HSlYCKRyxPljbH71SY4zgZOeh71YkAUckjrge9Vv8AlpyPY96aRDJo/lHGSQOmK04FVQWbIJ5we/FZYG0gZIJFTpLtXlj17UmrlQZLJ3AY4PUGqLLmTC9QPWp5ChnJUk5Oai2ncCc4zzxTjoEx+xhlQCCevNT/ADrbDg/X1qBSQ4ccj2PNBd9oIJz+hptkE5LSwqxZVkUdv46hEuXBcgr6DipSQ2xlGyTHHHFV5MJ8nIkzzjpSSAf5pG1eue1MdF2sVyF9qYSCTwCPUUoY+UQR8p6E07agKpJmBBzt9adhWU+g64qE4J6cenpUynGD+GDTaEncGRcD5jjHINN3DO0tkDp2zTsqSCehqHH09jREWyLEZHm/xLg813miXk1pcRyIzKOoPrXARlt2AAfeu+0Yx3WmrvQjB7GuPGQvHU9rKKjVQ9J1NZvFngWW0iKtdRESwBmwWI6r+NeHzRzW140M8bRSIdrK68givT7aW40uaPa37vPTvSePbBL3R7bxFBFtbIiuto6+jVy5dW9nL2fRnqZ3g/bQ9ut1v6HmfJ3dFJHFaWlaVqWs6tHY6ZZT6hdMQFjhQsc+p7D6mstTuUA7cgdx2r6x+C+kz6Z8Ol1C2IivdSkLlgvz+XnCgeleli8R7GnzHzmDwvtqqidl8J/hLqGieELybXHXTdVv22yLF87xQA8Jn1PJP1r6U0qysPD/AIeisdMt1ghHBJHLH1NYfh+DU7cK97LJ5RALCQ/rVHVvGNtaXDxMzNGSVDItfH4itOrUcpPc+yw9GNKCjE37+8+UllEqgd+Sa469FvOj+bCp3DnIqSxn1DUruMn5LJuVlZeSvsK0dd1DTNI8PGYW73siOA+Vzx6nHauGeIjGVj1KGX1KmuyPJdR8N3t1fhLCFpFc5V8Y2n3qtdeCNejlhSOa3jlwdsoO7ywR1r0mz12fXLZZntYtKsCRsbG1nxVy5mtktQsExZO7Fsk1pSnUbu1ZCx1KjSXIpXZ5SNK13REVLXxPfC5x96RQyZ+npXUab401nTh5Him2hnhI/d6hbJ8pP+0O1R6jcwv5gbDEY59K5abU9R0+Nlht0v4G6wzDgjv9K7FLTU8qx63aX1p4hsJijsYgNqYGHU1gSwavp15gTNJbDorHk1x9n4rgt3juJNPl0huEZWJKN9DXdW2qf2npitA6mLHyyg5B9ahJoliw30jRKkyDGfu//Xqf7RIwIAHA/DFZjXlt5pjYyPIDzgdDUUmpRQxbhng9SaOVkt2NOac+SwYKgUcqTmsO6vyUZUwox/FWPPqrTSsGwT1xVL7Q8kmCdoYjgVqo2RHNdiyEzNnc3JxkimqjOXyHPOCAvWrgRFhy5UEDuarB3MWUPOfmY9qa5mxNtMQxqG3kbATnmm4IdxkgDhR6VIDiHexRmIyCx6c1UmmCjgkgD7315q+ViV7iSrGiE5JOOSTxWdNOFgJkIjVVw7OcAD61R1HV7SyjYM2+XgiINy1cTe6hcXjF5m2r95YlPyrWsaTIm7PQtalqbXEjxQZ8k8E45esFrjaFWMYVvlJUVE5neDMe4kH6Vat9Pm+86gknqDjFdSsloYvUI0aaYoinAyWOO/euptoQlknTcOeB+lVrKweJ1kY7gTkg1evLmG2ts71IU55blfesm3J2RrCNtyjdyiOOSRigAUkn2ryHXtXmvrtrazfC4+dhyBzWnr+vS3V01lp8mc/62QDp61gW1ukQC5PzHJJ7+9awXIvM7MNhJVnrsVrSwWOERxgtM/Jb19ya3IYo4I8nG/HJx+VPiEcMUm1DnnHv71VuJ0SMlmC4XrmiUpSZ9DRoQox2JXmVGZiwHHeuN1DUmnlMSOwU/eIP6UzUNR8xXjjIAJxkd6xtyopJGeOxrvw2Gtqz5LOc8c/3VJ6dX/kS8cDhieMA8D/69InzSZI4BxgdM1GDnK44613HhXRGvLoXk6D7LEQFHTc1ddSooRuz5mlTdWdkdB4a0o2OlNdyr+/kX5VbqgrA8U3Tvew2rs5ROSpPGT3Fd5K4W8K5KoqcgHp/9avIdRn+06xcSsd4Z/lOa82g/aVXJ9D08TalR5O5TlkC2sjjCgKT161zhY79ucEnitW+fZGibhn+PJ5OKyc/McY5POa9WOx4zZOM55bkDv0pVRTj7pYnoK7LX/BWraK7uY2vLQcCaJSfzHWuOCiPk5zWcKkZq8XdG86U6cuWasxfKIbBCscZ5oNux5K/KOuKert5nKgj+63YUrXGAQgwfQcgmrSM7Ii8glT2APBzUYQuPl2kk8ntVlY3mdRnqfu981s29iRIIipWTGWIXp7D1NPYLXKNpYo/zvg54jLfxt2FfRnhTwzYWWk2syW5e8aISFyMfMevHYDoK878K6GLzU1vLmPFrARgEcN7Y+te5xTRwW6FmUDbnGei+leJmeLt7kX6n1/D+V3/AHs16f5lm5uWtbdRtjTI53dSa4+5ubm5LSzu0USgkZ6MPb1qHXdcQoSxKxjH3f8AP6VjpZ6hrVwk1209pZDhYehZR6+n0rxUkldn1VWrFe6kNunk1AC101j5GQJpQvQ+w7mtmw0O3sn83e81w5AMr8kf59q1bOxW3gWCCIIgPyBV5xV7fFDMwK4KnkOCaxqV3JWRgqabuySzRra+hZR5hzjHr/8AXrs1sZpMNIDEpGQD1rO0my+1TJK0QWJTng/eOeua7l4MW5jYENjKHNedUqWZqldWMyDS7doAfnQ/3lpj6a2GKSnbjnI5HvWkqyKFCfM3XBHK0u5mnwFJfOGPce/vWancm1ihDpGR80g3A5xjg8Veh0mEKC5abnlc8A1ZAlzliWI7j0qUPhQq5BxxkYOKhyZF02PtxHGPKjHljsPap/MKg7wHC/dGetRBlK5VirY4GKCSACVLd9wrPmuwSRbRYpTuG0uRz7VMhlXeEYxAHgNyKzl+VkbeN56ds1KLh41JYlo84NFrg0aMkwYASoVI7ryKQRLJEfL2SnueoqAzxmMD5V9Bmqi7hdBwSCvTB4ptWGlrqOntiSQDhyOme3pSW9tPBEjyncDzgdvarRvXVPLli3Z6gDkirdu8UkX7qQbupjfv9KiUmVJIoSTKS3yCJjwpxVCRj5w38+jL0NaVzbiSRlKheeD2Iqo0TwRsSrOhGSM5FCuS20hUDCQsGIUjqgqwl3JEAHJfA+8v3h7mqAldgx+aMg/Lzx/+upDPyd2CQP4etDQRudFBqSvg7lkfHKgdauK0Tr8w2N3yMGuNYAzkghWIyCGxU6X08bkZWVfundU8hTVzo5oA43R4wT0HJNcpqUklqG8u3D4U4G7Ofr/jWrDqgaTyxiEEck9/xqhrdzHLpcyJtVSpDSKefpVU1rqZzWh8kfFnWRdahDaiJfkOXfHH0Brwxnzv3DAHp3r0/wCI2V8TSLMNrsciID7i9jXmLkYZVT6E1+i5ZFRw8UfA5rK9eTYgO3PT6CgFgQqjLE9+1MHcEZ9O/NSq4jTK/ebofT3r0jzLkp+YbAMLmofmkkUju3B9Pemlz5TeYck8gYpvmMYyclRjAHpQNyHyznZgc44AB60xG43DJbqSar53Scg9ecmrDknacdRzQQ2KuGikkcBj/CKh2lYFZhnJqSLO3odmCTxSM4/s8A/60vwewFA0xflMasMrg896Y4YA7jzT4WWOflcxkYcE9as3Fs6yqyEMpGVYdCKAtcijgMxAUjp6VdS1mkgZjFuZfv47ioLaVt6kgqDkcCrguZEYyRMyHoVPGaCjOaGSK45UgHnJFROdjblOcHoauNcSOHXKEg5PPOKozFjjoKaRLBmKSpg5z1p8qxtASpzg/l61WBywbBpwP8TcgnnjFPYkiBwQQRg+pqZRkY5b2Hao2CAAlTnrxSxyMmTggDrVCQNhW5Hy9qVeRn5s9uOKHYbcjg+lIpPIJIBHWluiXuOBGDkce1GAQSPxBoBycE49CRTSuMsAfb2plJkuGAA7dq7Hw5dJGfKcn5uK4xTwCMVq2HzakgDEbiAeayrQUonVhKvJNM9PkuI5p0VdpGRjPP5V0Oq6lb23wo1G2kIYSwlERupauCMDWejzagFZhGwyrnBwehrmb7Ubi/4lY+WvKjqB/jXnUcJzTTvoj3sTmfs6TjbVoqIrOPLUne2FUAdSeP61+mPwv8LJbeFtOeaNYktrVFQEdSB2r8/fhzoza38UdMt2UPBDKtzPuHBRDnB+pr9FfDXiaF9XNgcRxFNqBTnHpWec1Phic+S0tJTZe8VeJbjTrWWGytI7nd8oYtjn0NVoZba38APdanNps8pw8y7R8vsvvSyeGr+7Go+VIocAgLIDhs14L4t0rX9P1w2RaaPTxIhkmaT5VXPzYxXzs4t7H2WCdCHvVD2HVvHGhWuhtJZs6zeXgqx6/T0qtbWmo/8ACLJrP2hkvJmEnkvyAp6AiuS0rw38P9V1m0uYdXuIpYnDPbyT743YeoPPWva/7Lt57XFrf2zr2UnuPSojh1F3NMdmaqw5KeiPMrzxG88S2WpW6W8ijgDhfqDXNzXZMwdJGEeezdfavRtV8LSXK/PAZP8AaAB/I1w154duLdX8nc/zY21vF3djxWjHa7VdwJBIywwc1ENSby+I1zj14qGaxvIpdot5CTxyOn/16z30zUZJCxyvqD1Na2iRJmh52pS7xataeWw5WRd351LBDqlrMpmcC1bmS2gQgE+orGj0zWPMWWOSUYOMZ6//AFqbc3n2WDGraz/Z0a5LrG+Xb6VrGN9CZNJHoD3cc0Wy3kUzADkDjHua5K5v4/NaF5/NmOSVB4zXnr+MVjuXtNAt7ia2zkyOCWc+vsK6q0V57BZ7trc3BXdiM/zPrVKlKK1MXNPY0o7pndfl8sAjbxzVv7RtZsZlyeD71zf2sq7Jj5SSC2acLxImwcbgueT0/wDrVqoOwuex1n2gPGCQpY9cnAqM3nlIAdxQfdOOAa5ltQ2W4eR0ijXgOeAK5bUPFsZhdLIC5HIMrZ2D3HrRGi2xSqq1zvL3VESEmZliULwT/F7VxN14jln3pYRlVJw0rnPHsO1ca93c3d2kk8rzYHysfuqPb6U17yG3Rip3BfU4BPrXQqCRi6zZtK7POcuC+clnbJxUqPaxsqkqckc4zmuKudZncssYIwcA461ntf3JUuA5PqTWnsWL2lz1RbqzUDauR2Jb+lTnVLVUJEi/U15Cbm7Lb2dzkYDDj9KRzdLabpWkgiToGb5ian2I4zfQ9JuvFNtaiXDBjgkLn/PFebar4hv9auzHAPKgB5I6gjpWI7T3koRNyxE4z/E1aNvEIcIoBTqP6Vpyxh6nfhsLKpJOWwsEEca/u0IPViT196tocXIO75scGoz8rnDDHXIH+c1BJL5Qdy6qAM89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" width="400" />Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-43938219876127310622012-01-17T09:20:00.002+08:002012-02-03T12:05:55.703+08:00The Many Ways to Play Youtube Video for AndroidEmbedding YouTube videos in a mobile application -- iOS or Android -- is not always straightforward.<br />
<br />
We have the <a href="http://code.google.com/apis/youtube/overview.html">GData API for Youtube</a> which is good for getting data on Video or Playlist but not to embed video the way you want. YouTube really wants you to just open the native YouTube app and play it there.<br />
<br />
The simplest way is by starting with the intent to load the YouTube video in the native app. It's as easy as the example below -- notice the "vnd.youtube" protocol type.<br />
<br />
<span style="font-family: "Courier New",Courier,monospace;"> Intent intent = new Intent(Intent.ACTION_VIEW, </span><br />
<span style="font-family: "Courier New",Courier,monospace;"> Uri</span><span style="font-family: "Courier New",Courier,monospace;">.parse("vnd.youtube:" </span><br />
<span style="font-family: "Courier New",Courier,monospace;"> + "</span><b style="color: #351c75;"><code><span class="str" style="font-family: "Courier New",Courier,monospace;">SomeYTIdHere</span></code></b><span style="font-family: "Courier New",Courier,monospace;">" ));</span><br />
<span style="font-family: "Courier New",Courier,monospace;"> startActivity(intent); </span><br />
<br />
<br />
Now, if for whatever reason the Android device doesn't come with the native YouTube app, you can just open the YouTube mobile page, like this:<br />
<br />
<br />
<pre class="default prettyprint"><code><span class="pln" style="font-family: "Courier New",Courier,monospace;"> startActivity</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">(</span><span class="pln" style="font-family: "Courier New",Courier,monospace;">newIntent</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">(</span></code></pre>
<pre class="default prettyprint"><code><span class="pun" style="font-family: "Courier New",Courier,monospace;"> </span><span class="typ" style="font-family: "Courier New",Courier,monospace;">Intent</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">.</span><span class="pln" style="font-family: "Courier New",Courier,monospace;">ACTION_VIEW</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">, </span></code></pre>
<pre class="default prettyprint"><code><span class="pun" style="font-family: "Courier New",Courier,monospace;"> </span><span class="typ" style="font-family: "Courier New",Courier,monospace;">Uri</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">.</span><span class="pln" style="font-family: "Courier New",Courier,monospace;">parse</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">(</span><span class="str" style="font-family: "Courier New",Courier,monospace;">"http://www.youtube.com/v/<b><span style="color: #351c75;">SomeYTIdHere</span></b>"</span><span class="pun" style="font-family: "Courier New",Courier,monospace;">)));</span><span class="pln">
</span></code></pre>
<br />
<br />
But if opening the mobile page is not good enough, then another tricky way is to embed the YouTube video "<embed></embed>..." stuff in a webview. That usually will work by playing the video with Flash and is tested to work on Android tablets.<br />
<br />
If you have a Kindle Fire and you do not want to play the video in the YouTube mobile page, then you can use <a href="http://code.google.com/p/android-youtube-player/wiki/OpenYouTubePlayerActiviyInstructions">OpenYouTubeActivity</a> from the <a href="http://code.google.com/p/android-youtube-player/">android-youtube-player project</a>.<br />
<br />
I hope these approaches help you in figuring out the best way to play YouTube content in your Android apps.Unknownnoreply@blogger.com6tag:blogger.com,1999:blog-5507223161490572934.post-33688121206102506942011-11-28T17:24:00.001+08:002011-12-08T03:42:06.233+08:00Setting up KVM on Ubuntu 10.04 (Lucid Lynx)After doing a KVM install on Debian Squeeze and trying to get a VM up and running, the hassle convinced me to go back to Ubuntu and their vm-builder package, which allow ones to create VMs relatively easy once the setup is complete. There is a vm-builder port for Debian, though that only works for building older versions of Ubuntu and I want to run the latest, Ubuntu 11.10 (Oneiric Ocelot).<br />
<br />
Starting with a bare-metal Ubuntu 10.04 LTS (Lucid Lynx) 64-bit, below is the list of commands and instructions to install and set up the KVM. Details on these instructions can be read in the Ubuntu community documentation, <a href="https://help.ubuntu.com/community/KVM/Installation">KVM Installation</a> and <a href="https://help.ubuntu.com/community/KVM/Networking">KVM Networking</a>:<br />
<ul><br />
<li><code>sudo apt-get install qemu-kvm libvirt-bin ubuntu-vm-builder bridge-utils</code></li>
<br />
<li><code>virsh -c qemu:///system list</code> (To verify installation, should have no errors)</li>
<br />
<li><code>sudo apt-get install libcap2-bin</code></li>
<br />
<li><code>sudo setcap cap_net_admin=ei /usr/bin/qemu-system-x86_64</code></li>
<br />
<li><code>sudo vi /etc/network/interfaces</code><br /><ul>
<li><code><b>Original file:</b><br /># The loopback network interface<br />auto lo<br />iface lo inet loopback<br /><br /># The primary network interface<br />auto eth0<br />iface eth0 inet static<br /> address 10.10.3.140<br /> broadcast 10.10.3.143<br /> netmask 255.255.255.248<br /> gateway 10.10.3.137<br /><br /># default route to access subnet<br />up route add -net 10.10.3.136 netmask 255.255.255.248 gw 10.10.3.137 eth0</code></li>
<br />
<li><code><b>Modified file:</b><br /># The loopback network interface<br />auto lo<br />iface lo inet loopback<br /><br /><b><i># device: eth0<br />auto eth0<br />iface eth0 inet manual<br /><br /># The primary network interface<br />auto br0<br />iface br0 inet static<br /> address 10.10.3.140<br /> broadcast 10.10.3.143<br /> netmask 255.255.255.248<br /> gateway 10.10.3.137<br /> bridge_ports eth0<br /> bridge_stp off<br /> bridge_fd 9<br /> bridge_hello 2<br /> bridge_maxage 12</i></b><br /><br /># default route to access subnet<br />up route add -net 10.10.3.136 netmask 255.255.255.248 gw 10.10.3.137 eth0<br /><b><i>up route add -net 10.10.3.136 netmask 255.255.255.248 gw 10.10.3.137 br0</i></b></code></li>
</ul>
</li>
<br />
<li><code>sudo /etc/init.d/networking restart</code></li>
<br />
<li>Running <code>ifconfig</code> lists the following interfaces <code>br0, eth0, lo, virbr0</code></li>
</ul>
<br />
This completes the KVM installation and creation of a bridge for the VMs. Up next is replacement of the vm-builder. The one in the Ubuntu packages is faulty and also will not allow you to install Ubuntu 11.10 (Oneiric Ocelot). So I updated to the latest, downloading the source, building and installing it. The steps below can be found in this <a href="http://askubuntu.com/questions/73706/using-vmbuilder-to-build-an-11-10-vm-from-10-04">accepted answer</a>:<br />
<ul><br />
<li><code>sudo apt-get install bzr</code></li>
<br />
<li><code>sudo apt-get install epydoc</code> (big install here, ~400mb)</li>
<br />
<li><code>bzr branch lp:ubuntu/vm-builder ubzr-vm-builder</code></li>
<br />
<li><code>cd ubzr-vm-builder</code></li>
<br />
<li><code>fakeroot debian/rules binary</code></li>
<br />
<li><code>sudo dpkg -i ../*vm-builder*.deb</code></li>
</ul>
<br />
With that, everything is installed and vm-builder is ready to run. The easiest way is to use a script so that vm creation can be set once and repeated as desired. The only changes required being hostname, ip and maybe memory. Obtain the Ubuntu 11.10 64-bit server iso and put it in the same place as the script. The directory I used is ~/vm/basekvm:<br />
<ul><br />
<li><code>cd ~/vm/basekvm</code></li>
<br />
<li><code>sudo vi create_vm.sh</code><br /><ul>
<li><code><b>File:</b><br />#!/bin/bash<br /><br /># Configure this before running the command<br />HOSTNAME=myhostname<br />MEMORY=2048<br />IP=192.168.122.10<br /># -- End of configuration<br /><br />vmbuilder kvm ubuntu \<br />--destdir=/var/lib/libvirt/images/$HOSTNAME \<br />--ip=$IP \<br />--hostname=$HOSTNAME \<br />--mem=$MEMORY \<br />--suite=oneiric \<br />--flavour=virtual \<br />--arch=amd64 \<br />--iso=/root/vm/basekvm/ubuntu-11.10-server-amd64.iso \<br />--mirror=http://de.archive.ubuntu.com/ubuntu \<br />--libvirt=qemu:///system \<br />--domain=localdomain \<br />--part=/root/vm/basekvm/vmbuilder.partition \<br />--bridge=virbr0 \<br />--gw=192.168.122.1 \<br />--mask=255.255.255.0 \<br />--user=myusername \<br />--name=myname \<br />--pass=mypassword \<br />--tmpfs=- \<br />--addpkg=vim-nox \<br />--addpkg=acpid \<br />--addpkg=unattended-upgrades \<br />--addpkg=openssh-server \<br />--firstboot=/root/vm/basekvm/fboot.sh \<br />-o</code></li>
</ul>
</li>
<br />
<li><code>sudo chmod 700 create_vm.sh</code></li>
<br />
<li><code>sudo vi fboot.sh</code> (Optional)<br /><ul>
<li><code><b>File:</b><br /># This script will run the first time the virtual machine boots<br /># It is ran as root.<br /><br /># Expire the user account<br />passwd -e administrator<br /><br /># Install openssh-server<br />apt-get update<br />apt-get install -qqy --force-yes openssh-server</code></li>
</ul>
</li>
<br />
<li><code>sudo chmod 777 fboot.sh</code></li>
<br />
<li><code>sudo vi vmbuilder.partition</code><br /><ul>
<li><code><b>File:</b><br />root 8000<br />swap 4000<br />---<br />/var 8000</code></li>
</ul>
</li>
<br />
<li><code>cd ~/vm</code></li>
<br />
<li><code>ln -s /var/lib/libvirt/images/ images</code></li>
</ul>
<br />
The create_vm.sh is basically a template script. You can modify it to accept console input so that you don't need to go and edit the file values, that is left for another time. The symbolic link shows the directory where the VM disk images are located once created. Below is how you would use it to create a VM:<br />
<ul><br />
<li><code>sudo cp basekvm/create_vm.sh create_vm_myvmname.sh</code></li>
<br />
<li><code>sudo vi create_vm_myvmname.sh</code>. Edit the HOSTNAME, IP and MEMORY as desired</li>
<br />
<li><code>sudo ./create_vm_myvmname.sh</code></li>
<br />
<li><code>virsh start myvmname</code></li>
</ul>
<br />
And that's it! A VM has been successfully created and started up. Give it a few minutes and then you can log in through <code>ssh</code> using the information in the script. If the ssh is slow to connect, try <a href="http://www.turnkeylinux.org/blog/slow-ssh">this</a>.Irregular Zerohttp://www.blogger.com/profile/16732473266770294267noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-64492384161106344222011-11-28T08:42:00.005+08:002012-02-03T12:08:11.074+08:00Notes about Delayed Job and UpstartUpstart?<br />
<br />
If you've been working with Linux systems for a while might have heard about <a href="http://upstart.ubuntu.com/">upstart</a>. As the upstart project’s home page describes, it's an event-based replacement for the System V <span style="font-family: "Courier New",Courier,monospace;">init</span> daemon.<br />
<br />
Basically upstart takes care of starting and stopping services and ad hoc tasks when events happen such as when your system boots up or shuts down. And more!<br />
<br />
Why Upstart?<br />
<br />
As the saying goes: “don’t fix things it they aren’t broken,” so why would we bother with upstart in the first place when SysV <span style="font-family: "Courier New",Courier,monospace;">init</span> has been working fine for decades? Well, for one thing Ubuntu, Fedora, and others are moving to it! And upstart is event-based so you can easily write scripts to handle specific events. For example, it's trivial to run a script after the network services started. With <span style="font-family: "Courier New",Courier,monospace;">init</span> we have to rely on the static priorities of the scripts, which can get pretty messy and inflexible over time. Upstart is much more than what's described here and has a many more features as described in the project's <a href="http://upstart.ubuntu.com/">feature highlights</a>.<br />
<br />
Delayed Job, RVM, and Upstart<br />
<br />
Recently I needed to write a basic script to make sure that delayed_job gets started when the server is rebooted. Since I was using rvm to manage all the ruby processes on the server, I needed to make sure that rvm is properly loaded before actually running the delayed_job process.<br />
<br />
There are enough articles out there about getting your scripts to run with RVM. However I keep running into problems with this very thing all the time!<br />
<br />
Finally this is the script I came up with. It's a fairly simple script to get the delayed_job process started.<br />
<br />
<script src="https://gist.github.com/1397668.js?file=start_delayed_job.sh">
</script><br />
<br />
<script src="https://gist.github.com/1397668.js?file=start_delayed_job_task.conf">
</script><br />
<br />
Notes<br />
<ul><br />
<li>I decided to keep the <span style="font-family: "Courier New",Courier,monospace;">/etc/init/file.conf</span> simple and put most of the code in my external script file </li>
<br />
<li>the ‘task’ parameter can be used when you just want to do something simple like launch the daemon (and not creating a deamon for upstart to watch and restart...etc)</li>
<br />
<li>‘start on runlevel [2345]’ tells upstart to start your task on runlevels 2,3,4, and 5</li>
<br />
<li>you can write your script inside the script…end script block. Here I'm just calling my external script</li>
<br />
<li>if you're running a Ruby script and have your Ruby set up via rvm be sure to include the two lines:<br /><ul> <br />
<li>rvm_path=/home/deployer/.rvm</li>
<br />
<li>source "/home/deployer/.rvm/scripts/rvm"</li>
<br />
<li>this needs to be changed according to your rvm installation path</li>
</ul>
<br /> </li>
<li>I'm also keeping a custom log that will have an entry for each time the task is run</li>
</ul>Yasith Fernandohttp://www.blogger.com/profile/02948424982453708273noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-9626576245913726212011-11-25T22:35:00.001+08:002011-11-26T00:00:54.041+08:00KVM host with gateway guest using port-forwardingUsing the 3 rules listed <a href="http://serverfault.com/questions/170079/forwarding-ports-to-guests-in-libvirt-kvm">here</a> and below, a KVM host can forward all http and ssh traffic to a specified gateway guest VM:<br /><code><br />iptables -t nat -I PREROUTING -p tcp --dport 80 -j DNAT --to-destination 10.0.0.1:80<br />iptables -t nat -I PREROUTING -p tcp --dport 22 -j DNAT --to-destination 10.0.0.2:22<br />iptables -I FORWARD -m state -d 10.0.0.0/24 --state NEW,RELATED,ESTABLISHED -j ACCEPT<br /></code><br />To make it permanent, requires one to go through this <a href="https://help.ubuntu.com/community/IptablesHowTo">page</a> and use the following commands:<br /><code><br />sudo sh -c "iptables-save -c > /etc/iptables.rules" (after applying the 3 commands above)<br />sudo vi /etc/network/if-pre-up.d/iptablesload<br /></code><br />The <code>/etc/network/if-pre-up.d/iptablesload</code> file will have the following text:<br /><code><br />#!/bin/sh<br />iptables-restore < /etc/iptables.rules<br />exit 0<br /></code><br />The KVM host will now have VM creation as its sole focus. Ensure the host's ssh port have been changed to make it accessible from outside, otherwise it can be accessed from the gateway guest.<br /><br />All redirection and VM access are transferred to the the gateway guest. The guest will need to install nginx so it can act as a http proxy for other VMs. All ssh access use the gateway guest as a stepping stone to the other VMs.<br /><br />Following the 3 rules, it is found the traffic essentially loops back to the gateway guest. This makes it incapable of reaching the other VMs. Applying 1 more rule after the 3 above solves this. The rule accepts all packets from the VM ip range and does not do any forwarding:<br /><code><br />iptables -t nat -I PREROUTING -p tcp --source 10.0.0.0/24 -j ACCEPT<br /></code>Irregular Zerohttp://www.blogger.com/profile/16732473266770294267noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-13463831817357990792011-09-01T19:39:00.001+08:002011-09-01T19:42:17.501+08:00Deployment Automation Tools/Frameworks Comparison <p class="p1">At FM we have a problem. Each time someone start working on a new project (a web application, to be more specific) s/he needs to create a new VM and set it up and install a ruby (this is the most used stack at the moment, yay! :D) stack on it. Which is a pretty straight forward and well known process. However when you have to do it 2 to 4 times per month it gets pretty tedious. And it consumes valuable time. So... we are going to automate it! (yeah we should have done it a long time ago :)).</p> <p class="p2"><b>Common Considerations when choosing a tool</b></p> <p class="p2">I think its important to consider the following things when choosing a automated deployment tool.</p> <ul class="ul1"> <li class="li2">How many ready made 'recipes' are available. This usually goes in hand to hand with how widely adopted the tool is.</li> <li class="li2">How do you like the DSL offered by the tool</li> <li class="li2">How long is the learning curve</li> <li class="li2">The scope of the tool? Does it address your set of problems?</li> <li class="li2">Documentation</li> </ul> <p class="p3">
<br /></p> <p class="p2"><b>Things i were looking for</b></p> <ul class="ul1"> <li class="li2">The tool doesn't need to be installed in to the server. It rather operates remotely through SSH</li> <li class="li2">Should be able do the basic unix server setup stuff like: adding my private key, create a account...etc</li> <li class="li2">Setup a full ruby stack with Apache/nginx, RVM, git, myslq with minimum hassel.</li> </ul> <p class="p1">The ones listed above are what im looking for. However just because a tool dosen't already have a recipe that handles installing RVM it doesn't become a bad tool (duh!).</p> <p class="p2"><b>Tools/Frameworks that i tried out</b></p> <ul class="ul1"> <li class="li4"><a href="http://wiki.opscode.com/display/chef/Home"><span class="s1">Chef</span></a></li> <li class="li4"><a href="http://www.puppetlabs.com/"><span class="s1">Puppet</span></a></li> <li class="li4"><a href="http://babushka.me/#demo"><span class="s1">Babushka</span></a></li> <li class="li4"><a href="https://github.com/crafterm/sprinkle"><span class="s1">Sprinkle</span></a></li> <li class="li4"><a href="http://gitpusshuten.com/"><span class="s1">Git Pusshuten</span></a></li> </ul> <p class="p2"><b>Chef and Puppet</b></p> <p class="p2">They seemed a bit too much for what i needed. I feel that i should be able to use a far more simpler tool with a shorter learning curve. However both of them are grate tools. I would like to work with chef in the future. But right now, all setting up a server (AFAIK chef needs a chef server to operate. However puppet doesn't necessarily need one) just to get this done sounds a bit intimidating.</p> <p class="p2"><b>Babushka</b></p> <p class="p2">The author of Babushka: "However, I don't think of babushka as a deployment tool. I think of it as a "remember what I researched or learned the first time" tool, and part of that is deployment." In it's home page it is described as: Babushka is a tool for finding, running, writing and sharing recipes to automate things.</p> <p class="p2">I actually like the philosophy of the tool. There are tons of things that i research about and forget in a very short time. It would be grate to write them down and reuse them easily in the future. And since this is not limited to deploying stuff it covers a wide spectrum of tasks that you might want to automate. Such as installing homebrew!. So once you 'script' something you can easily reuse it. And if something goes wrong babushka will try to identify the step that went wrong and point it out to you. So you can look at it and deal with it. Very useful!</p> <p class="p2">However one tiny drawback of babushka is that you have to install it on whatever box that you are going to setup with it. Which is not (because they execute stuff through SSH) the case with tools like Git Pusshuten/Capistrano.</p> <p class="p2"><b>Sprinkle</b></p> <p class="p2">Sprinkle on the outlook looked like exactly what i need! It's official description says: "Sprinkle is a software provisioning tool you can use to build remote servers with. eg. to install a Rails, or Sinatra stack on a brand new slice directly after its been created " This is what i need. Like most solutions discussed here it have a DSL so you could write deployment scripts to setup different servers with different services and packages. It has a nice collection of 'Installers' that let you install applications from various sources. From APT to running ad-hoc commands. Using these can make your life easier (as someone who writes scripts).</p> <p class="p2">Most likely you would be using capistrano (its not coupled to capistrano) with sprinkle to deploy and setup remote servers from your workstation.</p> <p class="p2">However after checking out the available deployment scripts. I feel that there is more room for more 'out of the box' scripts.</p> <p class="p2"><b>Git Pusshuten</b></p> <p class="p2">As the official web page describes it: "It is a Git-based application deployment tool that allows you to define your environment by utilizing modules and provision your server with basic deployment needs."</p> <p class="p2">I have use gitpusshuten in the past. And it does what its supposed to pretty well. When compared with Sprinkle and Babushka its not that widely used (assuming that github stats: # of forks and watchers are good indicators).</p> <p class="p2">With gitpusshuten you will be issuing a series of commands in the process of setting up a server and deploy a app to it. It feels like something in between capistrano and sprinkle to me. In the end i decided on using gitpusshuten. Mostly because it already had 'recipes for most of the tasks that i needed.</p><p class="p2"><b>Conclution</b></p> <p class="p2">I hope to play around with Babushka and chef in the future. I feel chef is a good tool (in the long term) to invest (learn, use, contribute) in. Babushka too interests me, however i would imagine my self using it to automate things in general. For deployment stuff i would like too use something i can run through ssh.</p>Yasith Fernandohttp://www.blogger.com/profile/02948424982453708273noreply@blogger.com3tag:blogger.com,1999:blog-5507223161490572934.post-52803239705899873452011-07-26T01:32:00.011+08:002011-07-28T01:11:07.582+08:00Coping with memory leaks in Android 3.0's ViewFlipper and Bitmap classesRecently, I was baffled by a persistent memory leak in one of our company's Android 3.0 projects running on the Motorola Xoom. I spent a lot of time trying to figure out the source of the memory leaks without much luck.<br /><br />After some digging around, I found a very helpful tool for the Eclipse IDE: MotoDev Studio, a free plugin provided by Motorola for Eclipse. You can download it here: http://developer.motorola.com/docstools/motodevstudio/<br /><br />After a cursory look, one might think that this is simply an IDE helper for Android/Xoom development. It is, but it also makes Android/Xoom development much easier.<br /><br />The plugin provides a tool called Memory Analyzer Tool (MAT) that generates memory usage reports; if you run this while debugging your Android apps, it gives you a full report on memory usage.<br /><br />For my project, the Memory Leaks report showed that memory leaks were coming from two Android classes: ViewFlipper and Bitmap.<br /><br />I couldn't find any easy fix for ViewFlipper; the only solution I could think of was to completely remove the ViewFlipper and write my own custom handler to do the view switches. This was annoying, but fixed the memory leak.<br /><br />For Bitmaps, there were several things I learned in order to repair the memory leaks:<br /><br />1. ImageView: do not bind images by using "android:src", use ImageView.setImageResource() instead.<br />2. View Switch: if you have many ImageView objects being switched in and out, remove them all and only use one inside your code; remove the ImageView object when you switch to another kind of View, then add it again when you need ImageView again.<br />3. Use the willNotCache() method in ImageView.<br />4. Remember to set bitmaps to null or release them when finished using them, then push them to the GC.<br /><br />There are still a lot of things you need to be careful of when using bitmaps, but in sum: remember to always release the memory used for the bitmaps when it's no longer needed.<br /><br />After 3 days work, and I successfully reduced the memory use for our app from 40MB to 8.7 MB.<br /><br />- WinkeyAnonymousnoreply@blogger.com3tag:blogger.com,1999:blog-5507223161490572934.post-16078854993018658772011-07-05T05:46:00.016+08:002011-07-08T01:05:27.812+08:00Software Estimation: Traditional and Agile approachesSoftware estimation has historically been a difficult task for numerous reasons, yet it's also one of the most important steps in a software development project that typically garners nowhere near the attention or thought that it deserves.<br /><br />Curious as to the academic consensus on software estimation, I surveyed a variety of software texts on the topic; from classics: Mythical Man Month (MMM), Code Complete (CC), and Rapid Development (RD), to more current texts: Practices of an Agile Developer (POAAD), The Pragmatic Programmer (PP), and Agile Software Requirements (ASR).<br /><br />Surprisingly, and not so surprisingly, there is quite a bit of overlap between older and newer approaches to software estimation.<br /><br /><span style="font-weight: bold;">Why is software estimation so hard? </span><br /><br />Code Complete (CC) begins its chapter on software estimation with, "Managing a software project is one the formidable challenges of the late 20th century. . .the average large software project is 1 year late and 100% over budget." Consoling words, and they resonate with most developers who have done professional software development. But why is software estimation so hard?<br /><br /><ul><li>The simplest answer is: software is extremely complex. Software has lots of moving parts, and these parts are often constantly changing or being updated. Not just small parts either (like a new library of module), but large parts as well - new languages, new frameworks, new operating systems, new hardware - all affect the complexity of the task - and add to the difficulty of coming up with an accurate estimate. It is not unusual for a developer to use a few, if not many, modules that she's never used before during a project.<br /></li><li>Software quality varies. Writing a program vs. writing a "programming product" can vary by as much as 3X (MMM). </li><li>Developer skill varies. One study indicates that programmer productivity can vary as much as 10:1 (MMM). Some say as much as 20:1. </li><li>The client's understanding of his product varies. I haven't read a lot of authors writing about this, but, in my experience the client's grasp of his own product definition hugely affects the pace of development. The clearer the client's understanding of his product's details and design, not surprisingly, the faster the pace of development. </li><li>Developer optimism. "The first false assumption that underlies the scheduling of systems programming is that all will go well." (MMM)</li></ul><br /><span style="font-weight: bold;">Why do we want good estimates?</span><br />"Rapid Development" makes a salient point: (1) good estimates are more than a means to make the client happy. Good estimates also: (2) reduce development costs internally (e.g. reducing scheduling inefficiencies: overlap and overrun), and (3) they provide a sustainable pace that helps developers avoid burnout, making them more productive in the long-term.<br /><br /><span style="font-weight: bold;">When estimation fails. . .what can you do?</span><br />There are a few common fixes to a software schedule that's falling behind. It turns out that some of them, aren't really 'fixes' at all:<br /><ul><li>MYTH: We'll fix it in the end. "One survey of over 300 software projects concluded that delays and overhangs generally increase toward the end of the project. Projects don't make up lost time later; they fall further behind." (CC)</li><li>MYTH (largely): Add more people. While it may seem counter-intuitive, Brook's Law (MMM) asserts that "Adding manpower to a late software project makes it later." In the words of Code Complete: "New people need time to familiarize themselves with a project before they can become productive. Their training takes up the time of the people who have already been trained. And merely increasing the number of people increases the complexity and amount of project communication." In reality, for a large project adding people during the project may help - less likely so, for smaller projects.<br /></li><li>Reduce scope. This is probably the most sensible and easiest solution of all. It can take many forms: dropping a feature, delaying performance tuning, implementing a crude version of a feature, to be fleshed out in a future release.</li></ul><br /><span style="font-weight: bold;">I. Traditional approaches to improving estimates:</span><br />The following are tips and suggestions for improving the accuracy of estimates. Labeling these approaches "traditional" is not to imply that these approaches are outdated or somehow lacking; in fact, a lot of the following techniques have been absorbed by Agile estimation techniques.<br /><ul><li>Formalize requirements. This may sound like a 'duh!' statement - but it is often overlooked. (CC) Why? Oftentimes, a client wants to build something without knowing the outlying details of what she's having built; a client can have a solid sense of her product definition from a high-level, but be fuzzy on the details; she may expect that development will help flesh out the details. In this case, rapid prototyping, may be the best approach - so that the client and developer can both know, with greater detail, what they are building, as quickly as possible. </li><li>Make time for estimates: "Rushed estimates are inaccurate estimates. . ." (CC). Software estimation can be a mini-project unto itself and, if time permits, should be treated as such. While this may sound like a luxury and an 'unnecessary' upfront cost, its cost can pale in comparison to the potentially costly overruns that will likely arise due to poor estimation. "Until each feature is understood in detail, you can't estimate the cost of a program precisely. Software development is a process of making increasingly detailed decisions." (RD)</li><li>Allow developers to make the estimates. (RD) "We have to mention a basic estimating trick that always gives good answers: ask someone who's already done it." (PP)</li><li>Use several estimation techniques, and compare the results. (RD)</li><li>Re-estimate periodically: for long-term projects it might make sense to schedule re-estimation periods, factoring in newly determined velocity. (RD)</li><li>Track historical data: documenting estimates and actual completion times, while often seen as an annoyance, can provide sharper metrics for estimating a future set of tasks. A set of historical data is required to accurately define future estimates. (RD)</li></ul><br /><span style="font-weight: bold;">II. The Agile approach to estimation (see "Agile Software Requirements")</span><br />Yes, all these tips and suggestions may sound daunting, maybe even other-worldly. Given a tight schedule - who has time to do all this? To the rescue, in walks the Agile approach. . .<br /><br />To the outsider, Agile methods can sound like a justification for no documentation, no planning, no coordination; not true. It is true that Agile teams often abhor long-term estimation. . .not for fear of commitment, but because they understand that long-term estimates are most often inaccurate, so - why bother? One of the main reasons that Agilists rejects traditional project estimating (e.g: identify tasks, estimate tasks, sum tasks, then build a Gantt chart) is that it "never actually worked for software projects." (ASR)<br /><br /><span style="font-weight: bold;">Basic Concepts of Agile estimation:</span><br /><ul><li><span style="font-style: italic;">User Stories</span>: a brief statement that explains a feature, usually based upon a cause and effect statement. Example: User X does Action Y and Result Z happens. </li><li><span style="font-style: italic;">Story points</span>: numbers (integers) that indicate the 'bigness' of a single User Story - the higher the number the bigger the task. Using techniques below, each User Story, is assigned Story Points. There are four aspects to consider when assigning Story Points to a User Story:</li></ul><ol><li>Knowledge and comprehension of the User Story.</li><li>Complexity: how hard it will be to implement</li><li>Volume: how much actual work there is to do</li><li>Uncertainty: unknowns that might effect the estimate</li></ol>Any numerical scale (1-5 or 1-100) can be used as a metric for Story Points - what matters is that they are 'numerically relevant': a two-point story should take 2x as long as a one-point estimate. Another approach to Story Points: perhaps more suited for larger projects, is to use IDDs (Ideal Developer Days - a theoretical perfect day of work) as Story Points.<br /><br /><span style="font-weight: bold;">A few approaches to Agile estimating:</span><br /><ul><li>Work first, estimate after. "Let the team actually work on the project, with the current client, to get realistic estimates." This may seem backwards, but it is actually a very practical way to obtain an estimate grounded in reality (not some potentially flawed algorithm). (POAAD) Understandably, not all clients may not be open to starting out a project without any scheduling estimates.</li><li>Planning Poker. This is an online game in which developers bid on User Stories, until an entire backlog has been estimated. These estimates can then be used to define a developer's estimation accuracy as well as help developers' hone their estimation skills over time. http://www.planningpoker.com/ (ASR)</li><li>Tabletop relative estimation. This is a simple approach to estimation whereby a development teams orders index cards (each with a single User Story on them) on a table by Story Point value. The team can discuss each story and place smaller stories to the left and larger stories to the right, in order of complexity. Each column has a different Story Point value. By the end of the estimation session (pretty quick), there can be a good relative sense of the scale regarding the User Stories. (ASR)</li></ul><br /><span style="font-weight: bold;">Advice: Keep estimating brief. . .</span><br />Good news, according to ASR, there are diminishing returns with repeated attempts at estimation: after having a team provide three estimates, the estimates do not gain any accuracy. More is not better, here.<br /><br /><span style="font-weight: bold;">Velocity:</span><br />After estimations have been generated by assigning Story Points to User Stories, a sense of scope is acquired, but still no sense of how long development will take. How is a sense of development speed (aka Velocity) determined?<br /><br />Answer: By determining how many Story Points a team or person can complete during a timeboxed iteration of User Stories.<br /><br />Example: Have two teams work on the same set of User Stories (after having defined their Story Points) for a 2 hour timebox (iteration). Most likely, when the Story Points for each team are summed at the end of the iteration, there will be two different scores. These scores indicate the Velocity of each team.<br /><br /><span style="font-weight: bold;">III. Conclusion:</span><br />Having surveyed a few classic and current approaches to software estimation, it's clear that the problems surrounding software estimation have not changed: software estimation has and will always remain a complex task, most likely, as long as writing software remains a complex task.<br /><br />There are many techniques to minimize the problems associated with poor software estimation: traditional methods focus on defining tasks, estimating tasks and summing the estimates; Agile methods avoid a waterfall technique and assert that the only way to gain an accurate estimate is to begin the work and estimate from there, and re-estimate as the project continues.<br /><br />Agile estimation embraces the complexity of software and tackles the difficulties of estimation with a lightweight real-world process:<br /><ol><li>write User Stories</li><li>have developers estimate with Story Points</li><li>closely track actual iterations of development tasks (User Stories) to determine developers' Velocity</li><li>finally, arrive at estimates that are based on real-world development; they should become more accurate over the course of the project as work history progresses<br /></li></ol>Anonymousnoreply@blogger.com7tag:blogger.com,1999:blog-5507223161490572934.post-5192895057560561772011-06-01T10:19:00.017+08:002011-06-01T16:14:59.121+08:00Using RABL in Rails JSON Web APILet's use an event management app as the example.<br />
<br />
The app has a simple feature: a user can add some events, then invite other users to attend the event. Its data are represented in 3 models: User, Event, and Event Guest.<br />
<br />
<a href="http://teohm.github.com/images/2011-05-31-using-rabl-in-rails-json-web-api/models.png" onblur="try {parent.deselectBloggerImageGracefully();} catch(e) {}"><img alt="" border="0" src="http://teohm.github.com/images/2011-05-31-using-rabl-in-rails-json-web-api/models.png" style="cursor: hand; cursor: pointer; width: 100%;" /></a><br />
<br />
Let's say we are going to add a read-only JSON web API to allow clients to browse data records.<br />
<br />
<span class="Apple-style-span"><b>Problems</b></span><br />
<br />
<span class="Apple-style-span"><b>Model is not view</b></span><br />
<br />
When working on a non-trivial web API, you will soon <a href="http://engineering.gomiso.com/2011/05/16/if-youre-using-to_json-youre-doing-it-wrong/">realize</a> that models often cannot be serialized directly in a web API.<br />
<br />
Within the same app, one API may need to render a summary view of the model, while another needs a detail view of the same model. You want to serialize a view or view object, not a model.<br />
<br />
<a href="https://github.com/nesquena/rabl">RABL (Ruby API Builder Language) gem</a> is designed for this purpose.<br />
<br />
<span class="Apple-style-span"><b>Define once, reuse everywhere</b></span><br />
<br />
Let's say we need to render these user attributes: id, username, email, display_name, but not password.<br />
<br />
In RABL, we can define the attribute whitelist in a RABL template.<br />
<pre># tryrabl/app/views/users/base.rabl
attributes :id, :username, :email, :display_name</pre><br />
To show an individual user, we can now reuse the template through RABL extends.<br />
<pre># tryrabl/app/views/users/show.rabl
extends "users/base"
object @user
## JSON output:
# {
# "user": {
# "id": 8,
# "username": "blaise",
# "email": "matteo@wilkinsonhuel.name",
# "display_name": "Ms. Noe Lowe"
# }
# }</pre><br />
Here's another example to show a list of users.<br />
<pre># tryrabl/app/views/users/index.rabl
extends "users/base"
collection @users
## JSON output:
# [{
# "user": {
# "id": 1,
# "username": "alanna",
# "email": "rubie@hayes.name",
# "display_name": "Mrs. Gaylord Hoeger"
# }
# }, {
# "user": {
# "id": 2,
# "username": "jarrell.robel",
# "email": "jarod@eichmann.com",
# "display_name": "Oran Lebsack"
# }
# }]</pre><br />
The template can be reused in nested children as well, through RABL child.<br />
<pre>attributes :id, :title, :description, :start, :end, :location
child :creator => :creator do
extends 'users/base'
end
## JSON output:
# {
# "event": {
# "id": 7,
# "title": "Et earum sed fuga.",
# "description": "Quis sed ..e ad.",
# "start": "2011-05-31T08:31:45Z",
# "end": "2011-06-01T08:31:45Z",
# "location": "Saul Tunnel",
# "creator": {
# "id": 1,
# "username": "alanna",
# "email": "rubie@hayes.name",
# "display_name": "Mrs. Gaylord Hoeger"
# }
# }
# }</pre><br />
<span class="Apple-style-span"><b>Join table rendered as subclass</b></span><br />
<br />
I notice a recurring pattern in two recent projects. For instance, in this example, from the client's point of view, Event Guest is basically a User with an additional attribute: RSVP status.<br />
<br />
When querying the database, usually we need to query the join table: event_guests.<br />
<pre>class GuestsController < ApplicationController
def index
@guests = EventGuest.where(:event_id => params[:event_id])
end
end</pre><br />
But when rendering, the result set needs to be rendered as a list of Users. RABL allows you to do that easily, using its glue feature (a weird name though :).<br />
<pre># tryrabl/app/views/guests/index.rabl
collection @event_guests
# include the additional attribute
attributes :rsvp
# add child attributes to parent model
glue :user do
extends "users/base"
end
## JSON output:
# [{
# "event_guest": {
# "rsvp": "PENDING",
# "id": 3,
# "username": "myrna_harvey",
# "email": "shad.armstrong@littelpouros.name",
# "display_name": "Savion Balistreri"
# }
# }, {
# "event_guest": {
# "rsvp": "PENDING",
# "id": 4,
# "username": "adelle.nader",
# "email": "brendon.howe@cormiergrady.info",
# "display_name": "Edgardo Dickens"
# }
# }]</pre><br />
The complete Rails example code is available at <a href="https://github.com/teohm/tryrabl">github.com/teohm/tryrabl</a>.Anonymousnoreply@blogger.com320tag:blogger.com,1999:blog-5507223161490572934.post-78580893700474498912011-05-25T12:27:00.004+08:002011-05-25T12:32:21.383+08:00Using JQuery Validation in Rails Remote Form<div class="entry-content"> <p>In a recent project, I was trying to use <a href="http://bassistance.de/jquery-plugins/jquery-plugin-validation/">JQuery Validation</a> in an <a href="https://github.com/rails/jquery-ujs/blob/bb620a29199214b5c7a3a015372fda28b69c69a1/src/rails.js">earlier version</a> of Rails 3 remote form (<a href="https://github.com/rails/jquery-ujs">jquery-ujs</a>). They didn't work out well in IE.</p> <p>After experimenting with the <a href="https://github.com/rails/jquery-ujs/blob/dad6982dc592686677e6845e681233c40d2ead27/src/rails.js">latest jquery-ujs</a> and making an embarrassing mistake, it turns out that the issue is resolved in the latest version.</p> <p>(<em>Mistake</em>: You may notice I removed a previous post about this topic, where I mistakenly concluded the latest jquery-ujs is not working with JQuery Validation. Thanks to JangoSteve for <a href="https://github.com/rails/jquery-ujs/issues/165#comment_1228899">pointing it out</a>. The post was misleading, so I believe it's best to remove it to avoid confusion. :-)</p> <h2>Get the latest <code>jquery-ujs</code></h2> <p>There are 2 reasons to use the latest jquery-ujs:</p> <ol><li>it has a patch that fixes the issue (see <a href="https://github.com/rails/jquery-ujs/issues/118">issue #118</a>).</li><li>it exposes an internal function that we may need -- <code>$.rails.handleRemote()</code> (see <a href="http://www.alfajango.com/blog/rails-jquery-ujs-now-interactive/">more details</a>)</li></ol> <h2>Working example</h2> <p>The example is tested with:</p> <ul><li>JQuery 1.6.1</li><li>JQuery Vaidation 1.8.1</li><li>Latest Rails UJS (commit: <a href="https://github.com/rails/jquery-ujs/blob/dad6982dc592686677e6845e681233c40d2ead27/src/rails.js">dad6982dc592686677e6</a>)</li></ul> <p>Try run the example page on IE7/8: <a href="http://teohm.github.com/quirks/jquery-validate-ujs-conflict/jquery-ujs-latest.html">/quirks/jquery-validate-ujs-conflict/jquery-ujs-latest.html</a></p> <h3>When using <code>submitHandler</code> in JQuery Validation</h3> <p>If you are using JQuery Validation's <code>submitHandler(form)</code> function, you need to call <code>$.rails.handleRemote( $(form) )</code> function manually, so that it submits the form via XHR.</p> <div class="highlight"><pre><code class="ruby"><span class="err">$</span><span class="p">(</span><span class="s1">'#submit_form'</span><span class="p">)</span><span class="o">.</span><span class="n">validate</span><span class="p">({<br /></span> <span class="n">submitHandler</span><span class="p">:</span> <span class="n">function</span><span class="p">(</span><span class="n">form</span><span class="p">)</span> <span class="p">{<br /></span> <span class="sr"> // .. do something before submit ..<br /></span> <span class="sr"> $.rails.handleRemote( $(form) ); /</span><span class="o">/</span> <span class="n">submit</span> <span class="n">via</span> <span class="n">xhr<br /> </span></code><br /><code class="ruby"><span class="sr"> /</span><span class="o">/</span> <span class="n">don</span><span class="err">'</span><span class="n">t</span> <span class="n">use</span><span class="p">,</span> <span class="n">it</span> <span class="n">submits</span> <span class="n">the</span> <span class="n">form</span> <span class="n">directly</span></code><code class="ruby"> <span class="sr"> <br /> //form.submit(); </span><span class="n"><br /></span> <span class="p">}</span> <br /><span class="p">});</span> </code></pre> </div> </div>Anonymousnoreply@blogger.com1tag:blogger.com,1999:blog-5507223161490572934.post-88026863495485463152011-04-19T14:10:00.019+08:002011-04-22T01:05:20.870+08:00Managing multiple Grails versions in developmentIn Grails development, it's not uncommon to maintain several projects with different Grails versions.<br /><br />It's a PITA to <b>switch between Grails versions</b> during development because it requires the <a href="http://www.grails.org/Installation">GRAILS_HOME</a> environment variable to be updated, to point to the correct Grails directory.<br /><br /><span style="font-size: large;"><b>Rescue My Ass</b></span><br />I added <b>2 new bash commands</b> to make my life easy:<br /><ul><li><span style="font-family: "Courier New",Courier,monospace;">grls - </span>list all available installed versions.</li><li><span style="font-family: "Courier New",Courier,monospace;">gr <version> - </version></span>set GRAILS_HOME to the specified version.</li></ul><span style="font-size: large;"><div><span style="font-size: large;"><br /></span></div><b>How to Use It</b></span><div><span style="font-family: "Courier New",Courier,monospace;">Beech-Forkers-MacBook:~ huiming$ <b>grls</b></span><br /><span style="font-family: "Courier New",Courier,monospace;">1.1.2</span><br /><span style="font-family: "Courier New",Courier,monospace;">1.3.2</span><br /><span style="font-family: "Courier New",Courier,monospace;">1.3.4</span><br /><span style="font-family: "Courier New",Courier,monospace;">1.3.6</span><br /><span style="font-family: "Courier New",Courier,monospace;"><br /></span></div><div><span style="font-family: "Courier New",Courier,monospace;">Beech-Forkers-MacBook:~ huiming$ <b>gr 1.3.2</b></span><br /><span class="Apple-style-span" style="font-family: 'Courier New', Courier, monospace; ">Beech-Forkers-MacBook:~ huiming$ grails</span></div><div><span style="font-family: "Courier New",Courier,monospace;">Welcome to <b>Grails 1.3.2</b> - http://grails.org/</span><br /><span style="font-family: "Courier New",Courier,monospace;">Licensed under Apache Standard License 2.0</span><br /><span style="font-family: "Courier New",Courier,monospace;">Grails home is set to: /Users/huiming/work/tools/grails</span><br /><br /></div><br /><span style="font-size: large;"><b>How I Implemented It</b></span><br />First, I keep all Grails installations under a same directory:<br /><span style="font-family: "Courier New",Courier,monospace;"><br /></span><div><span style="font-family: "Courier New",Courier,monospace;">Beech-Forkers-MacBook:~ huiming$ ls -d1 work/tools/grails-*</span><br /><span style="font-family: "Courier New",Courier,monospace;">work/tools/grails-1.1.2</span><br /><span style="font-family: "Courier New",Courier,monospace;">work/tools/grails-1.3.2</span><br /><span style="font-family: "Courier New",Courier,monospace;">work/tools/grails-1.3.4</span><br /><span style="font-family: "Courier New",Courier,monospace;">work/tools/grails-1.3.6</span><br /><br />Then, add the commands into my <span style="font-family: "Courier New",Courier,monospace;">~/.profile</span> file:<br /><span style="font-family: "Courier New",Courier,monospace;"><br /></span></div><div><span style="font-family: "Courier New",Courier,monospace;">TOOLS=~/work/tools</span></div><div><span></span><span class="Apple-style-span"><br /></span><span style="font-family: "Courier New",Courier,monospace;">function <b>gr</b> {</span><br /><span style="font-family: "Courier New",Courier,monospace;"> rm -f $TOOLS/grails && \</span></div><div><span style="font-family: "Courier New",Courier,monospace;"> ln -s $TOOLS/grails-$1 $TOOLS/grails</span><br /><span style="font-family: "Courier New",Courier,monospace;">}</span></div><div><span style="font-family: "Courier New",Courier,monospace;"><br /></span></div><div><span style="font-family: "Courier New",Courier,monospace;">alias <b>grls</b>="ls -d $TOOLS/grails-* | </span><span style="font-family: "Courier New",Courier,monospace;">xargs basename </span><span class="Apple-style-span" style="font-family: 'Courier New', Courier, monospace; ">| sed 's/grails-//g'"</span></div><div><span style="font-family: "Courier New",Courier,monospace;"><br /></span></div><div><span style="font-family: "Courier New",Courier,monospace;">export GRAILS_HOME=$TOOLS/grails</span></div><div><span style="font-family: "Courier New",Courier,monospace;">PATH=$GRAILS_HOME/bin:$PATH</span><br /><br />Thanks to Jeff, as the idea is largely based on <a href="http://javajeff.blogspot.com/2010/04/switching-versions-of-grails-and-other.html">his solution</a>.</div><div><br /></div>Anonymousnoreply@blogger.com1tag:blogger.com,1999:blog-5507223161490572934.post-13946117371562712502011-02-07T13:12:00.003+08:002011-04-30T10:42:03.888+08:00A Certain Minimal QR Scanner iPhone appA <a href="http://en.wikipedia.org/wiki/QR_Code">QR Code</a> is similar to a barcode, except it contains more information and looks like a pixellated square Rorschach test.<br />
<br />
There are a number of free QR readers in the appstore like <a href="http://itunes.apple.com/us/app/neoreader/id284973754?mt=8">NeoReader</a> and <a href="http://itunes.apple.com/gb/app/redlaser/id312720263?mt=8">RedLaser</a>. I especially like the scanning GUI for RedLaser, which seems more streamlined than any of the apps I have tried.<br />
<br />
A number of these apps use the open-source <a href="http://code.google.com/p/zxing/">ZXing ("Zebra Crossing")</a> scanner library. The library is in Java but has a number of ports which include iPhone.<br />
<br />
To start things off, you need to download or checkout the source. Create a new "View-Based Application" project in Xcode. Inside the <code>iphone</code> folder of the source, follow the <code>README</code> on how to include the <code>ZXingWidget</code> project into yours.<br />
<br />
Pay attention to the instructions, especially the direct dependency, header search path and the fact the file with the ZXing has to be a <code>.mm</code> instead of <code>.m</code>. If it does not build, you're probably missing something. You can look at the sample projects to see how they include the widget.<br />
<br />
One last thing before moving on to the code, put the <code>beep-beep.aiff</code> file from the ScanTest project into your project. This is to get audio confirmation of a scan.<br />
<br />
Inside the sole <code>viewController</code> of your project:<br />
<pre class="prettyprint">#import "ZXingWidgetController.h"
#import "QRCodeReader.h"
#import "ResultParser.h"
#import "URLResultParser.h"
#import "ResultAction.h"
- (void)viewDidLoad {
[super viewDidLoad];
[ResultParser registerResultParserClass:[URLResultParser class]];
}
- (void)viewDidAppear:(BOOL)animated {
[super viewDidAppear:animated];
ZXingWidgetController *widController =
[[ZXingWidgetController alloc] initWithDelegate:self showCancel:NO OneDMode:NO];
QRCodeReader *qrcodeReader = [[QRCodeReader alloc] init];
NSSet *readers = [[NSSet alloc] initWithObjects:qrcodeReader,nil];
[qrcodeReader release];
widController.readers = readers;
[readers release];
NSBundle *mainBundle = [NSBundle mainBundle];
widController.soundToPlay =
[NSURL fileURLWithPath:[mainBundle pathForResource:@"beep-beep" ofType:@"aiff"] isDirectory:NO];
[self presentModalViewController:widController animated:YES];
[widController release];
}
#pragma mark -
#pragma mark ZXingDelegateMethods
- (void)zxingController:(ZXingWidgetController*)controller didScanResult:(NSString *)resultString {
[self dismissModalViewControllerAnimated:YES];
ParsedResult *parsedResult = [[ResultParser parsedResultForString:resultString] retain];
NSArray *actions = [[parsedResult actions] retain];
if ([actions count] == 1) {
ResultAction *theAction = [actions objectAtIndex:0];
[theAction performActionWithController:self shouldConfirm:YES];
} else {
UIAlertView *alertView = [[UIAlertView alloc] initWithTitle:@"Text Found:"
message:resultString
delegate:nil
cancelButtonTitle:@"OK"
otherButtonTitles:nil];
[alertView show];
[alertView release];
}
}
</pre><br />
The code in <code>viewWillAppear</code> is lifted off from the sample projects. This sets up the scanning video camera with the appropriate reader. If a scan is successful, the delegate method <code>didScanResult</code> will execute. The result is parsed to see if it is a URL. You set which parser to use in <code>viewDidLoad</code>. A parsed result can have default actions associated with it, the <code>URLResultParser</code> opens up the url in Safari as default. Otherwise the result is treated as text and displayed.<br />
<br />
This app can now scan QR codes and open up URLs in Safari. There are a number of other things you can add to this, eg you can switch out the <code>ResultParser</code> with a <code>UniversalResultParser</code> that includes all the parser classes. You should take a look in the <code>Classes</code> folder of the <code>ZXingWidget</code> project to see what is available.Irregular Zerohttp://www.blogger.com/profile/16732473266770294267noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-28459347352298044062011-02-04T11:15:00.006+08:002011-02-04T13:50:04.913+08:00Honeycomb<span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;" id="internal-source-marker_0.8041677402937878">Google is getting ready to launch Android 3.0, aka Honeycomb, the latest version of the Android OS that is aimed at tablets. It has a lot of new goodies that will radically change the way we will design and develop applications, especially user interfaces.</span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">After going through some articles and documents that were sourced from the Internet, I am compiling this blog post as an overview of the main UI changes introduced in the 3.0 API.</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: line-through; vertical-align: baseline;"> And to see how this might help application developers like you and me write applications that could potentially (nobody knows for sure whether honeycomb will run on smartphones or not. But it seems to support smaller screen sizes as well. I am been optimistic here! ) run on smart phone and tablet devices. Even if this is possible it might not be a reality in the near future. As google is yet to announce any smartphones with the new branch of the OS.</span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: line-through; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: italic; text-decoration: none; vertical-align: baseline;">Ouch! it seems that is not going to be true anytime soon: </span><a href="http://mobile.slashdot.org/story/11/02/03/224231/Google-Says-Honeycomb-Will-Not-Come-To-Smartphones"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 153); background-color: transparent; font-weight: normal; font-style: italic; text-decoration: underline; vertical-align: baseline;">Google Says Honeycomb Will Not Come To Smartphones</span></a><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: italic; text-decoration: none; vertical-align: baseline;">.</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Honeycomb is the first release of the 3.x branch. Right now, Google seems to be reserving the 3.x branch for tablets and the 2.x branch for smartphones. As for the 2.x branch, Android 2.4 (Ice Cream) will be the next release. Given that maintaining two platform-specific versions of the OS doesn't seem like a long-term strategy, convergence will probably happen at some point in the future.</span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; text-decoration: none; vertical-align: baseline;">Fragments</span><div><span style="color: rgb(0, 0, 0); background-color: transparent; font-style: normal; text-decoration: none; vertical-align: baseline; "></span><span style="color: rgb(0, 0, 0); background-color: transparent; font-style: normal; text-decoration: none; vertical-align: baseline; "></span><span class="Apple-style-span" ><span class="Apple-style-span" style="font-size: 15px;"><b>
<br /></b></span></span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">This seems to be one of the most exciting new features of Honeycomb. The API documentation defines a Fragment as “...a piece of an application's user interface or behavior that can be placed in an Activity</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">”. Fragments are basically small units or modules that can together make up an Activity. Perhaps the coolest thing is that you can change them dynamically at runtime! </span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Modularity is almost always good! (caveat: only if used with some common sense). You can create different layouts by mixing up Fragments. An Activity can be broken down into different regions and then designed separately. It also allows developers to create interfaces that let users choose among different layouts at runtime. Because Fragments can be added in or removed dynamically, this should be fairly easy to do.</span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Google has cited another use for Fragments: changing the layout of an application depending on the orientation of the screen. So you can create UIs that will make maximum use of screen space depending on the screen orientation.</span><span style="color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; "> </span><span class="Apple-style-span" style="font-family: Arial; font-size: 15px; ">For example, if a given device has a lower resolution than a tablet, a developer can decide to use a Fragment (or a set of Fragments) that are designed to better fit a smaller screen size and resolution. </span><span class="Apple-style-span" style="font-family: Arial; font-size: 15px; ">Or, if the device that you are using has a larger, higher resolution screen, you can conditionally use a different set of Fragments or simply a different mix of Fragments to optimize the interface. I have not really tried using Fragments in a real world application, but I think they could be very helpful in making applications more adaptable to different device form factors and somewhat independent of hardware platforms. However, we should not expect this to be a perfect solution to make apps device and resolution independent, as it will involve many other considerations such as sizing and resolution of embedded image assets and other content types.</span></div><div><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /></div><div><meta charset="utf-8"><div><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: italic; text-decoration: none; vertical-align: baseline; ">Back Stack</span></div><div><span style="color: rgb(0, 0, 0); background-color: transparent; text-decoration: none; vertical-align: baseline; "></span><span style="color: rgb(0, 0, 0); background-color: transparent; text-decoration: none; vertical-align: baseline; "></span><span class="Apple-style-span" ><span class="Apple-style-span" style="font-size: 15px; "><b><i>
<br /></i></b></span></span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; ">Fragments that are displayed one after another can be added to a stack by modifying the Fragment inside a transaction. This will help users go back to whatever Fragment they came from by using the standard back button. Such UI statefulness can greatly improve user experience.</span>
<br /></div><div><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; ">
<br /></span></div><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; text-decoration: none; vertical-align: baseline;">ActionBar</span></div><div><span style="color: rgb(0, 0, 0); background-color: transparent; font-style: normal; text-decoration: none; vertical-align: baseline; "></span><span style="color: rgb(0, 0, 0); background-color: transparent; font-style: normal; text-decoration: none; vertical-align: baseline; "></span><span class="Apple-style-span" ><span class="Apple-style-span" style="font-size: 15px;"><b>
<br /></b></span></span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">One can argue that the space taken by the title bar is a waste on small handheld devices like tablets or smartphones. The action bar replaces the title bar and displays the title for a window while harbouring various other widgets, menus, and tool buttons.</span>
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<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Browsing through the API documentation for ActionBar, you can see some interesting classes and constants like </span><span style="font-size: 11pt; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; " >ActionBar.Tab</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"> and </span><span style="font-size: 11pt; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; " >NAVIGATION_MODE_LIST</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"> that suggest the ActionBar can be used for navigation and can contain embedded menus, buttons, and tabs. When used w</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">ith methods such as </span><span style="font-size: 11pt; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; " >setCustomView()</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"> to set a custom view to appear inside the ActionBar, this can be used to implement things like a search function for an eBook reader app.</span>
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<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; text-decoration: none; vertical-align: baseline; ">A breakdown of some other highlights:</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; text-decoration: none; vertical-align: baseline; "></span><ul><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Multi-select, clipboard, and drag-and-drop</span></li><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Richer notifications</span></li><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span><span class="Apple-style-span" style="color: rgb(51, 51, 51); ">Live HTTP streaming</span></li><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span class="Apple-style-span" style="color: rgb(51, 51, 51); "></span><span class="Apple-style-span" style="color: rgb(51, 51, 51); ">New APIs for Bluetooth A2DP and HSP</span></li></ul><ul><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline; ">Hardware accelerated rendering</li><ul><li style="list-style-type: circle; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">New animation framework (new android.animation package)</span></li><li style="list-style-type: circle; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Hardware-accelerated OpenGL renderer for 2D graphics</span></li><li style="list-style-type: circle; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">A new 3D rendering engine called Renderscript (new android.renderscript package)</span></li></ul><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Ability to leverage multi-core processors</span></li><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">DRM framework (new android.drm package)</span></li></ul><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; text-decoration: none; vertical-align: baseline;">Playing with the SDK</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span>
<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">There is no substitute for playing with the SDK yourself. You can get it </span><a href="http://developer.android.com/sdk/index.html"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 153); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: underline; vertical-align: baseline;">here.</span></a><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"> If you already have a previous version of an Android SDK installed, you can install Honeycomb via the Android SDK manager. Look for Android 'Honeycomb' Preview SDK along with the documentation bits. Have fun!</span>
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<br /><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: bold; font-style: normal; text-decoration: none; vertical-align: baseline;">Sources</span><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span><ul><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Android 3 Highlights - </span><a href="http://developer.android.com/sdk/android-3.0-highlights.html"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 153); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: underline; vertical-align: baseline;">Google</span></a><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span></li><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">First look: Honeycomb APIs power tablet-friendly Android apps - </span><a href="http://arstechnica.com/open-source/news/2011/01/first-look-honeycombs-new-apis-support-tablet-friendly-android-apps.ars"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 153); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: underline; vertical-align: baseline;">Ars Technica</span></a><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span></li><li style="list-style-type: disc; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;">Google posts Android 3.0 Honeycomb SDK preview - </span><a href="http://www.intomobile.com/2011/01/26/google-posts-android-3-0-honeycomb-sdk-preview/"><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 153); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: underline; vertical-align: baseline;">intomobile</span></a><span style="font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0); background-color: transparent; font-weight: normal; font-style: normal; text-decoration: none; vertical-align: baseline;"></span></li></ul></div>Yasith Fernandohttp://www.blogger.com/profile/02948424982453708273noreply@blogger.com0tag:blogger.com,1999:blog-5507223161490572934.post-51610966486020519562010-09-22T17:03:00.003+08:002010-09-22T19:15:59.987+08:00Evaluating Redcar<p style="margin-bottom: 0in;"><span class="Apple-style-span" style="font-size:large;">Intro and Background</span></p> <p style="margin-bottom: 0in;">It has been about 2 weeks since I started developing RoR and Ruby apps in general at Favorite Medium. When I got started I had an OS X environment that I was new to and Textmate as my editor. I choose Textmate because (let's be honest...) it seems to be very popular with rails developers. But I had already used and developed in ruby using IDEs such as NetBeans and Rubymine. And I still tend to prefer an IDE over a text editor.</p> <p style="margin-bottom: 0in;">However, now I feel more comfortable with Textmate as I have used it for over two weeks. I will be evaluating Redcar and will be comparing it (well yes, my attitude towards Redcar is that it is really <i>inspired</i> by Textmate) with the experience I had with Textmate. To be fair, I haven't used Textmate extensively and I am for sure missing out on some great features it may have. So forgive me if I make any inaccurate assumptions in this post.</p> <p style="margin-bottom: 0in;">I am doing this evaluation as a ruby developer. So developers of other languages might look at this editor under a different light.</p> <p style="margin-bottom: 0in;"><span class="Apple-style-span" style="font-size:large;">What is Redcar</span></p> <p style="margin-bottom: 0in;">Redcar is a free and open source text editor written in ruby (but runs on jruby. You don't need to have jruby installed in order to install Redcar though. It will auto-magically download a version of jruby and other needed libs for its use). It has a Textmate-like feel to it. It also supports Textmate bundles (one of the strong points of Textmate)! Right now it has an active, healthy community around it. But it's a very young project that is still under heavy development (ex:- it doesn't have a save all function :( ).</p> <p style="margin-bottom: 0in;">Let's break it down to pros and cons.</p> <p style="margin-bottom: 0in;"><span class="Apple-style-span" style="font-size:large;">Pros</span></p> <ul> <li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">It's Open Source (thus free as in free beer and freedom!)</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Has a good momentum behind it (at the time of this writing).</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Supports Textmate bundles (This means a lot. If you have used Textmate you would know that a lot of nice features of Textmate come through bundles) and themes.</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Written in pure ruby and runs on jruby (this is good news if you are a ruby developer - it will be easy to extend and write plugins in ruby).</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Cross platform (I think I know more than 10 people who wanted to find 'the Textmate for Linux/Windows').</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Extensible (no editor in this world will ever behave and do everything just like you would want it to. You will have to customize it at some point. And the author can't implement every feature under the sun. A good plugin system is very important).</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Easy learning curve if you are coming from Textmate (Redcar supports most </span><span style="font-weight: normal;">Textmate </span><span style="font-weight: normal;">shortcuts although it's not a one to one mapping. It also has a lot of functionality that can be found in Textmate, where they are identified by the same names).</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Last but not least, Redcar comes with the 'cool-latest-greatest' feeling attached. So you can always feel good using and hacking it.</span></p></li></ul> <p style="margin-bottom: 0in;"><span style="font-weight: normal;"><span class="Apple-style-span" style="font-size:large;">Cons</span></span></p> <ul> <li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Uncertainty about future support and longevity of the project (Redcar is great. And it's very promising. But we don't know where it will stand in another two years. Editors are things that people choose, learn, and live with. If I am to commit my self to an editor I need to be sure that it will be supported and actively developed for the near future. If the development stalls I can't afford to take it over and carry it on. But then Redcar is so similar to Textmate, so in the event of Redcar suffering a early death one could always go back to Textmate or to one of its many clones out there.)</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Lack of features – For its age Redcar definitely supports a ton of features! But if you want a full and complete product Redcar is not that (at least at the time of writing it's not. But I hope it will be able to come to that level in the near future). But with the active development community and the passion behind it. I hope that it can reach a level where it has a healthy set of complete features pretty soon.</span></p> </li><li><p style="margin-bottom: 0in;"><span style="font-weight: normal;">Lack of maturity – You will see it in the UI sometimes, and everywhere else. This is perfectly natural for a new project.</span></p><p style="margin-bottom: 0in;">Requirement of Java - I am not sure whether this is even a con. But some people might not feel very comfortable having to install java if they don't already have it (you already have Java pre-installed in OS X for example...).</p></li></ul> <p style="margin-bottom: 0in;"><span style="font-weight: normal;">All in all I feel I will give this a try and see how things go. I have just gone through the documentation and installed and used Redcar for like 2 hours. You can't tell what's working and what's not during such a small amount of time. Issues with stability and performance might pop up during prolonged usage. But I have a positive outlook about this. There is an upcoming rails project and I am going to use Redcar for it. Let's see how things go.</span></p> <p style="margin-bottom: 0in;"><br /></p> <p style="margin-bottom: 0in;"><span style="font-weight: normal;">If you are excited by new tech and if you are in to ruby/rails and Textmate definitely do check out this new editor. Its worth the while.</span></p>Yasith Fernandohttp://www.blogger.com/profile/02948424982453708273noreply@blogger.com1