├── .DS_Store ├── problem1 ├── .DS_Store ├── python │ ├── .DS_Store │ ├── problem1_mapper.py │ ├── problem1_reducer.py │ └── result.json └── pyspark │ ├── .DS_Store │ └── problem1_spark.py ├── problem2 ├── .DS_Store ├── python │ ├── .DS_Store │ ├── problem2_mapper.py │ ├── problem2_reducer.py │ └── result.json └── pyspark │ ├── .DS_Store │ └── problem2_spark.py ├── problem3 ├── .DS_Store ├── python │ ├── .DS_Store │ ├── result.json │ ├── problem3_mapper.py │ └── problem3_reducer.py └── pyspark │ ├── .DS_Store │ └── problem3_spark.py ├── problem4 ├── .DS_Store ├── python │ ├── .DS_Store │ ├── problem4_mapper.py │ ├── problem4_reducer.py │ └── result.json └── pyspark │ ├── .DS_Store │ └── problem4_spark.py ├── problem5 ├── .DS_Store ├── python │ ├── .DS_Store │ ├── problem5_mapper.py │ ├── problem5_reducer.py │ └── result.json └── pyspark │ ├── .DS_Store │ └── problem5_spark.py ├── problem6 ├── .DS_Store ├── python │ ├── .DS_Store │ ├── result.json │ ├── problem6_mapper.py │ └── problem6_reducer.py └── pyspark │ ├── .DS_Store │ └── problem6_spark.py ├── 垃圾邮件过滤 ├── score.png ├── 用户名及成绩截图.png ├── pyspark_email_classify.py └── stopwords.txt ├── test.sh ├── run.sh ├── LICENSE └── README.md /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ryan0v0/BUAA_BigDataCourse/HEAD/.DS_Store -------------------------------------------------------------------------------- /problem1/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ryan0v0/BUAA_BigDataCourse/HEAD/problem1/.DS_Store -------------------------------------------------------------------------------- /problem2/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ryan0v0/BUAA_BigDataCourse/HEAD/problem2/.DS_Store -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- https://raw.githubusercontent.com/Ryan0v0/BUAA_BigDataCourse/HEAD/problem6/pyspark/.DS_Store -------------------------------------------------------------------------------- /problem3/python/result.json: -------------------------------------------------------------------------------- 1 | MmeMagloire 1 2 | Champtercier 1 3 | Napoleon 1 4 | MlleBaptistine 3 5 | Myriel 5 6 | Valjean 16 7 | -------------------------------------------------------------------------------- /test.sh: -------------------------------------------------------------------------------- 1 | cat ../inputs/1.json | python task1/mapper1.py | sort -t $'\t' -k1,1 | python task1/reducer1.py > task1/out.json 2 | 3 | -------------------------------------------------------------------------------- /problem3/python/problem3_mapper.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | 3 | import sys 4 | import json 5 | 6 | for line in sys.stdin: 7 | line = line.strip() 8 | record = json.loads(line) 9 | name = record[0] 10 | print '%s\t%s' % (name,1) 11 | -------------------------------------------------------------------------------- /problem5/python/problem5_mapper.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | import json 4 | for line in sys.stdin: 5 | line = line.strip() 6 | record = json.loads(line) 7 | Id = record[0] 8 | nucleotide = record[1] 9 | trim = nucleotide[:-10] 10 | print '%s\t%s' % (trim, Id) 11 | -------------------------------------------------------------------------------- /problem1/python/problem1_mapper.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | 3 | import sys 4 | import json 5 | 6 | for line in sys.stdin: 7 | line=line.strip() 8 | record=json.loads(line) 9 | fileName=record[0] 10 | value=record[1] 11 | words=value.split() 12 | for word in words: 13 | print '%s\t%s' % (word,fileName) 14 | -------------------------------------------------------------------------------- /problem3/pyspark/problem3_spark.py: -------------------------------------------------------------------------------- 1 | from __future__ import print_function 2 | from pyspark import SparkContext 3 | import json 4 | sc = SparkContext( 'local', 'test') 5 | textFile = sc.textFile("file:///root/bigdata/inputs//3&4.json") 6 | ans = textFile.map(lambda row:(json.loads(row)[0],1)).reduceByKey(lambda a,b:a+b) 7 | ans.foreach(print) 8 | -------------------------------------------------------------------------------- /problem5/python/problem5_reducer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | 3 | import sys 4 | result= {} 5 | for line in sys.stdin: 6 | line = line.strip() 7 | trim,Id = line.split('\t', 1) 8 | try: 9 | result[trim] = 0 10 | except ValueError: 11 | pass 12 | for word in result: 13 | print '%s' % (word) 14 | -------------------------------------------------------------------------------- /problem4/python/problem4_mapper.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | 3 | import sys 4 | import json 5 | 6 | for line in sys.stdin: 7 | line = line.strip() 8 | record = json.loads(line) 9 | person = record[0] 10 | friend = record[1] 11 | print '%s\t%s' % ((person,friend), 1) 12 | print '%s\t%s' % ((friend,person), 1) 13 | -------------------------------------------------------------------------------- /problem5/pyspark/problem5_spark.py: -------------------------------------------------------------------------------- 1 | from __future__ import print_function 2 | from pyspark import SparkContext 3 | import json 4 | 5 | sc = SparkContext('local', 'test') 6 | textFile = sc.textFile("file:///root/bigdata/inputs//5.json") 7 | ans = textFile.map(lambda row: json.loads(row)).map(lambda row: (row[1][:-10],1)).groupByKey().keys() 8 | ans.foreach(print) 9 | -------------------------------------------------------------------------------- /problem2/python/problem2_mapper.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | import json 4 | 5 | for line in sys.stdin: 6 | line = line.strip() 7 | record = json.loads(line) 8 | words = [] 9 | Type = record[0] 10 | Id = int(record[1]) 11 | for word in record: 12 | words.append(word) 13 | print '%s\t%s' % (Id, json.dumps(words)) 14 | -------------------------------------------------------------------------------- /problem6/python/result.json: -------------------------------------------------------------------------------- 1 | 0 0 11878 2 | 0 1 14044 3 | 0 2 16031 4 | 0 3 5964 5 | 0 4 15874 6 | 1 0 4081 7 | 1 1 6914 8 | 1 2 8282 9 | 1 3 7479 10 | 1 4 9647 11 | 2 0 6844 12 | 2 1 9880 13 | 2 2 10636 14 | 2 3 6973 15 | 2 4 8873 16 | 3 0 10512 17 | 3 1 12037 18 | 3 2 10587 19 | 3 3 2934 20 | 3 4 5274 21 | 4 0 11182 22 | 4 1 14591 23 | 4 2 10954 24 | 4 3 1660 25 | 4 4 9981 26 | -------------------------------------------------------------------------------- /problem4/python/problem4_reducer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | word2count = {} 4 | for line in sys.stdin: 5 | line = line.strip() 6 | word, count = line.split('\t', 1) 7 | try: 8 | word2count[word] = word2count.get(word, 0) + 1 9 | except ValueError: 10 | pass 11 | for word in word2count: 12 | if word2count[word] < 2: 13 | print '%s' % (word) 14 | -------------------------------------------------------------------------------- /problem3/python/problem3_reducer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | 4 | word2count = {} 5 | for line in sys.stdin: 6 | line = line.strip() 7 | word, count = line.split('\t', 1) 8 | try: 9 | count = int(count) 10 | word2count[word] = word2count.get(word, 0) + count 11 | except ValueError: 12 | pass 13 | for word in word2count: 14 | print '%s\t%s' % (word, word2count[word]) 15 | -------------------------------------------------------------------------------- /run.sh: -------------------------------------------------------------------------------- 1 | hadoop fs -rm -r /user/root/output/outputs/1 2 | hadoop jar /usr/local/hadoop-2.9.2/share/hadoop/tools/lib/hadoop-streaming-2.9.2.jar -D mapred.reduce.tasks=5 -mapper "python /root/bigdata/V_hadoop/task1/mapper1.py " -reducer " python /root/bigdata/V_hadoop/task1/reducer1.py " -input /user/root/input/inputs/1.json -output /user/root/output/outputs/1 3 | hadoop fs -getmerge /user/root/output/outputs/1 /root/bigdata/V_hadoop/task1/result.json 4 | -------------------------------------------------------------------------------- /problem1/python/problem1_reducer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | 4 | word2count = {} 5 | for line in sys.stdin: 6 | line = line.strip() 7 | word, fileName = line.split('\t', 1) 8 | try: 9 | fileList=word2count.get(word, []) 10 | if fileName not in fileList: 11 | fileList.append(fileName) 12 | word2count[word] = fileList 13 | except ValueError: 14 | pass 15 | for word in word2count: 16 | print '%s\t%s' % (word, word2count[word]) 17 | -------------------------------------------------------------------------------- /problem4/pyspark/problem4_spark.py: -------------------------------------------------------------------------------- 1 | from __future__ import print_function 2 | from pyspark import SparkContext 3 | import json 4 | 5 | 6 | def db(x): 7 | return [(x[0],x[1]),(x[1],x[0])] 8 | 9 | sc = SparkContext('local', 'test') 10 | textFile = sc.textFile("file:///root/bigdata/inputs//3&4.json") 11 | ans = textFile.map(lambda row: json.loads(row)).flatMap(lambda row: db(row)).map(lambda item: (item, 1)).reduceByKey(lambda a,b:a+b).filter(lambda a:a[1]==1).keys().map(lambda x:list(x)) 12 | ans.foreach(print) 13 | -------------------------------------------------------------------------------- /problem2/python/problem2_reducer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | import json 4 | order_list = {} 5 | line_item = [] 6 | for line in sys.stdin: 7 | line = line.strip() 8 | Id, words = line.split('\t') 9 | record = json.loads(words) 10 | if record[0] == "order": 11 | order_list[Id] = record 12 | else: 13 | line_item.append(record) 14 | for item in line_item: 15 | if order_list.get(item[1]) is None: 16 | continue 17 | else: 18 | print '%s' % json.dumps(order_list[item[1]] + item) 19 | -------------------------------------------------------------------------------- /problem6/python/problem6_mapper.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | import json 4 | 5 | for line in sys.stdin: 6 | line = line.strip() 7 | record = json.loads(line) 8 | matrix = record[0] 9 | row = record[1] 10 | column = record[2] 11 | val = record[3] 12 | if matrix == "a": 13 | for i in xrange(0, 5): 14 | print '%s %s\t%s %s %s' % (row, i, matrix, column, val) 15 | elif matrix == "b": 16 | for i in xrange(0, 5): 17 | print '%s %s\t%s %s %s' % (i, column, matrix, row, val) 18 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2019 Ryan0v0 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /problem6/pyspark/problem6_spark.py: -------------------------------------------------------------------------------- 1 | #qzznb! 2 | from __future__ import print_function 3 | from pyspark import SparkContext 4 | import json 5 | def fun(record): 6 | if record[0] == 'a': 7 | return (record[2],record) 8 | elif record[0] == 'b': 9 | return (record[1],record) 10 | 11 | def mul(lists): 12 | sz = len(lists) 13 | res = [] 14 | for x in range(sz): 15 | for y in range(x+1,sz): 16 | #print(x,y) 17 | #print(lists[x][0],lists[y][0]) 18 | 19 | if lists[x][0] == "a" and lists[y][0] == "b": 20 | res.append(((lists[x][1],lists[y][2]),lists[x][3]*lists[y][3])) 21 | elif lists[x][0] == "b" and lists[y][0] == "a": 22 | res.append(((lists[y][1],lists[x][2]),lists[x][3]*lists[y][3])) 23 | 24 | return res 25 | 26 | sc = SparkContext('local', 'test') 27 | textFile = sc.textFile("file:///root/bigdata/inputs//6.json") 28 | ans = textFile.map(lambda row: fun(json.loads(row))).groupByKey().flatMap(lambda x: mul(list(x[1]))).reduceByKey(lambda x,y:x+y).map(lambda x: [[x[0][0],x[0][1]],x[1]]) 29 | ans.foreach(print) 30 | -------------------------------------------------------------------------------- /problem2/pyspark/problem2_spark.py: -------------------------------------------------------------------------------- 1 | ''' 2 | from __future__ import print_function 3 | from pyspark import SparkContext 4 | import json 5 | 6 | sc = SparkContext( 'local', 'test') 7 | textFile = sc.textFile("file:///root/bigdata/inputs//2.json") 8 | 9 | global mp 10 | mp = dict() 11 | 12 | 13 | def join1(r): 14 | if r[1] in mp.keys(): 15 | return r 16 | return [] 17 | 18 | 19 | def add1(r): 20 | mp[r[1]] = r 21 | 22 | 23 | tmp = textFile.filter(lambda row: json.loads(row)[0] == "order") 24 | tmp.foreach(add1) 25 | ans = textFile.filter(lambda row: json.loads(row)[0] == "line_item").flatMap(lambda row: join1(row)) 26 | ans.foreach(print) 27 | ''' 28 | 29 | from __future__ import print_function 30 | from pyspark import SparkContext 31 | import json 32 | 33 | 34 | def join1(items): 35 | res = [] 36 | lft = [] 37 | for item in items: 38 | if item[0] == "order": 39 | lft = item 40 | break 41 | if len(lft) == 0: 42 | return res 43 | for item in items: 44 | if item[0] == "line_item": 45 | res.append(lft + item) 46 | return res 47 | 48 | 49 | sc = SparkContext('local', 'test') 50 | textFile = sc.textFile("file:///root/bigdata/inputs//2.json") 51 | ans = textFile.map(lambda row: json.loads(row)).map(lambda row: (row[1], row)).groupByKey() 52 | ans = ans.flatMap(lambda items: join1(items[1])) 53 | ans.foreach(print) 54 | -------------------------------------------------------------------------------- /problem1/pyspark/problem1_spark.py: -------------------------------------------------------------------------------- 1 | from __future__ import print_function 2 | from pyspark import SparkContext 3 | import json 4 | sc = SparkContext( 'local', 'test') 5 | textFile = sc.textFile("file:///root/bigdata/inputs//1.json") 6 | ''' 7 | for line in testFile: 8 | record=json.loads(line) 9 | fileName=record[0] 10 | value=record[1] 11 | words=value.split() 12 | for word in words: 13 | #todo 14 | wordCount = textFile.map(lambda line:line[1].split(' ')).map(lambda word:(word,line[0])).groupByKey() 15 | ''' 16 | ''' 17 | ans = textFile.flatMap(lambda row:(json.loads(row)[1].split(' '),json.loads(row)[0])) 18 | 19 | ans.foreach(print) 20 | print("~~~~~~"); 21 | 22 | ans = textFile.flatMap(lambda row:(json.loads(row)[1].split(' '),json.loads(row)[0]).map(lambda word:(word[0],word[1]) 23 | 24 | ans.foreach(print) 25 | print("~~~~~~"); 26 | 27 | ans = textFile.flatMap(lambda row:(json.loads(row)[1].split(' '),json.loads(row)[0]).map(lambda word:(word[0],word[1])).reduceByKey(lambda a,b:a+b) 28 | 29 | ans.foreach(print) 30 | print("~~~~~~"); 31 | ''' 32 | def split2(x,y): 33 | ret=[] 34 | for word in set(x.split(' ')): 35 | ret.append([word, y]) 36 | return ret 37 | ans = textFile.flatMap(lambda row: split2(json.loads(row)[1], json.loads(row)[0])).map(lambda word:(word[0],[word[1] ])).reduceByKey(lambda a,b:a+b) 38 | ans.foreach(print) 39 | #for item in ans: 40 | # print(item) 41 | -------------------------------------------------------------------------------- /problem6/python/problem6_reducer.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python 2 | import sys 3 | 4 | lastKeyI, lastKeyJ = None, None 5 | dictA = {} 6 | dictB = {} 7 | for line in sys.stdin: 8 | line = line.strip() 9 | ktmp,vtmp = line.split('\t') 10 | keyI, keyJ = ktmp.split(' ') 11 | matrix, identifier, val = vtmp.split(' ') 12 | if lastKeyI: 13 | if keyI != lastKeyI or keyJ != lastKeyJ: 14 | currentVal = 0 15 | for ident in dictA: 16 | if ident in dictB: 17 | currentVal += dictA[ident] * dictB[ident] 18 | if currentVal != 0: 19 | print '%s %s %s' % (lastKeyI, lastKeyJ, currentVal) 20 | lastKeyI = keyI 21 | lastKeyJ = keyJ 22 | dictA = {} 23 | dictB = {} 24 | if matrix == "a": 25 | dictA[identifier] = int(val) 26 | else: 27 | dictB[identifier] = int(val) 28 | else: 29 | if matrix == "a": 30 | dictA[identifier] = int(val) 31 | else: 32 | dictB[identifier] = int(val) 33 | lastKeyI = keyI 34 | lastKeyJ = keyJ 35 | if dictA: 36 | currentVal = 0 37 | for ident in dictA: 38 | if ident in dictB: 39 | currentVal += dictA[ident] * dictB[ident] 40 | if currentVal != 0: 41 | print '%s %s %s' % (lastKeyI, lastKeyJ, currentVal) 42 | -------------------------------------------------------------------------------- /problem4/python/result.json: -------------------------------------------------------------------------------- 1 | (u'Valjean', u'Montparnasse') 2 | (u'Valjean', u'Gillenormand') 3 | (u'Valjean', u'MlleBaptistine') 4 | (u'Count', u'Myriel') 5 | (u'Simplice', u'Valjean') 6 | (u'Valjean', u'Woman2') 7 | (u'Napoleon', u'Myriel') 8 | (u'Myriel', u'Count') 9 | (u'Montparnasse', u'Valjean') 10 | (u'Valjean', u'MmeDeR') 11 | (u'MlleBaptistine', u'Valjean') 12 | (u'Valjean', u'Babet') 13 | (u'MlleGillenormand', u'Valjean') 14 | (u'OldMan', u'Myriel') 15 | (u'MmeMagloire', u'MlleBaptistine') 16 | (u'Judge', u'Valjean') 17 | (u'Myriel', u'MlleBaptistine') 18 | (u'Labarre', u'Valjean') 19 | (u'Fantine', u'Valjean') 20 | (u'Myriel', u'OldMan') 21 | (u'Valjean', u'Cosette') 22 | (u'MlleBaptistine', u'Myriel') 23 | (u'MmeDeR', u'Valjean') 24 | (u'Valjean', u'Isabeau') 25 | (u'Woman2', u'Valjean') 26 | (u'Woman1', u'Valjean') 27 | (u'Isabeau', u'Valjean') 28 | (u'Valjean', u'Labarre') 29 | (u'Myriel', u'Napoleon') 30 | (u'Valjean', u'Simplice') 31 | (u'Valjean', u'MlleGillenormand') 32 | (u'Valjean', u'MmeMagloire') 33 | (u'Cosette', u'Valjean') 34 | (u'Gillenormand', u'Valjean') 35 | (u'Babet', u'Valjean') 36 | (u'Myriel', u'MmeMagloire') 37 | (u'MlleBaptistine', u'MmeMagloire') 38 | (u'Valjean', u'Fantine') 39 | (u'Valjean', u'Judge') 40 | (u'MmeMagloire', u'Myriel') 41 | (u'Valjean', u'Marguerite') 42 | (u'Geborand', u'Myriel') 43 | (u'Marguerite', u'Valjean') 44 | (u'MmeMagloire', u'Valjean') 45 | (u'Myriel', u'Geborand') 46 | (u'Valjean', u'Woman1') 47 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## 1. 中文垃圾邮件过滤 2 | 3 | 本题目布置在http://contest.mooc.buaa.edu.cn/competitions/43 4 | 在网站注册帐号密码，参加竞赛，下载数据，提交结果进行评测。 5 | 6 | ### 数据说明： 7 | 8 | · train.csv: 共两列，content为邮件内容，label为邮件类别（1:垃圾邮件，0:正常邮件） 9 | 10 | · test.csv: 一列，content为邮件内容 11 | 12 | ### 任务说明： 13 | 14 | · 使用机器学习算法或者设置规则判断test.csv中的邮件是否为垃圾邮件 15 | 16 | · 程序主体应使用spark，可以结合其他工具 17 | 18 | ### 温馨提示： 19 | 20 | · 算法： 21 | 22 | o 基于情感辞典、关键词等方法 23 | 24 | o 基于机器学习的方法：词向量+分类模型（如tf-idf+lr） 25 | 26 | o 工具： 27 | 28 | § 邮件内容预处理: beautifulsoup4 29 | 30 | § 分词：jieba 31 | 32 | o 文本分类任务网上有大量参考内容，请自行查阅 33 | 34 | ### 提交方式： 35 | 36 | 在作业截止日期之前，每位同学可以多次提交作业结果，但每天最多只能提交两次。网站会实时给出同学们得分反馈，最后同学可以在网站上选择众多提交结果中得分最高的一次显示在leaderboard上 37 | 38 | 在网站上同学们只提交标注结果即可，要求正常邮件标注数字0，垃圾邮件标注数据1。每个标注结果占1行，以回车分割，注意，请不要有任何多余字符，请确保你已经标注了所有的邮件（标注结果行数和邮件总数相同），即最后你提交的txt应该是 39 | 40 | 1\n0\n0\n0\n1\n…… 41 | 42 | ## 2. 滴滴出行数据分析 43 | 44 | 本题目为开始放型题目，使用spark/hadoop完成数据分析，提交分析报告 45 | 46 | ### 数据下载： 47 | 48 | 数据来源于滴滴盖亚数据开放计划：https://outreach.didichuxing.com/research/opendata/ 49 | 从北航网盘下载数据：[https://bhpan.buaa.edu.cn:443/link/11DE23805669FDBFC17E4C0D8C5EB721](https://bhpan.buaa.edu.cn/link/11DE23805669FDBFC17E4C0D8C5EB721) 50 | 51 | ### 数据说明： 52 | 53 | 2017年5月1日至今海口市每天的订单数据，包含订单的起终点经纬度以及订单类型、出行品类、乘车人数的订单属性数据。 54 | 55 | 开放城市：海口 56 | 57 | 数据内容：上述时间范围内的海口市每天订单数据，包含订单的起终点经纬度以及订单类型、出行品类、乘车人数的订单属性数据。其中所有涉及个人信息的数据都经过了匿名化处理。 58 | 59 | #### 数据字段详情 60 | 61 | | ***\*字段ID\**** | ***\*字段名称\**** | ***\*字段样本描述\**** | 62 | | ------------------- | ------------------------------------ | ------------------------------------------------------------ | 63 | | order_id | 订单ID | string类型且已脱敏 | 64 | | product_id | 产品线ID | 1滴滴专车， 2滴滴企业专车， 3滴滴快车， 4滴滴企业快车 | 65 | | city_id | 城市ID | 选取海口当地 | 66 | | district | 城市区号 | 海口区号 | 67 | | county | 二级区县 | 记录区县id | 68 | | type | 订单时效 | 0实时，1预约 | 69 | | combo_type | 订单类型 | 1包车，4拼车 | 70 | | traffic_type | 交通类型 | 1企业时租，2企业接机套餐，3企业送机套餐，4拼车，5接机，6送机，302跨城拼车 | 71 | | passenger_count | 乘车人数 | 拼车场景，乘客选择的乘车人数 | 72 | | driver_product_id | 司机子产品线 | 司机所属产品线 | 73 | | start_dest_distance | 乘客发单时出发地与终点的预估路面距离 | 乘客发单时，出发地与终点的预估路面距离 | 74 | | arrive_time | 司机点击‘到达’的时间 | 司机点击‘到达目的地’的时间 | 75 | | departure_time | 出发时间 | 如果是实时单，出发时间(departure_time) 与司机点击‘开始计费’的时间(begin_charge_time)含义相同；如果是预约单，是指乘客填写的出发时间 | 76 | | pre_total_fee | 预估价格 | 根据用户输入的起始点和目的地预估价格 | 77 | | normal_time | 时长 | 分钟 | 78 | | product_1level | 一级业务线 | 1专车，3快车，9豪华车 | 79 | | dest_lng | 终点经度 | 对应乘客填写的目的地对应的经度 | 80 | | dest_lat | 终点纬度 | 对应乘客填写的目的地对应的纬度 | 81 | | starting_lng | 起点经度 | 对应乘客填写的起始点对应的经度 | 82 | | starting_lat | 起点纬度 | 对应乘客填写的起始点对应的纬度 | 83 | -------------------------------------------------------------------------------- /垃圾邮件过滤/pyspark_email_classify.py: -------------------------------------------------------------------------------- 1 | # encoding=utf8 2 | import sys 3 | import csv 4 | import io 5 | import jieba 6 | import re 7 | from pyspark.ml.feature import Tokenizer 8 | from pyspark.ml.feature import VectorAssembler 9 | from pyspark.ml.evaluation import BinaryClassificationEvaluator, MulticlassClassificationEvaluator 10 | from pyspark.sql import functions 11 | from pyspark.sql import SparkSession 12 | from pyspark.ml.feature import HashingTF, IDF 13 | from pyspark.sql.functions import udf, rand, col 14 | from pyspark.ml.classification import LogisticRegression 15 | from pyspark.sql.types import IntegerType 16 | from pyspark.ml.feature import StopWordsRemover 17 | reload(sys) 18 | sys.setdefaultencoding('utf8') 19 | 20 | jieba.initialize() 21 | 22 | def spark_read_csv_bf(spark, path, schema=None, encoding='utf8'): 23 | rdd = spark.sparkContext.binaryFiles(path).values()\ 24 | .flatMap(lambda x: csv.DictReader(io.BytesIO(x)))\ 25 | .map(lambda x : { k:v.decode(encoding) for k,v in x.iteritems()}) 26 | if schema: 27 | return spark.createDataFrame(rdd, schema) 28 | else: 29 | return rdd.toDF() 30 | 31 | def content2words(data): 32 | text = data[0] 33 | rule = re.compile(u'[^\u4e00-\u9fa5]') 34 | line = re.sub(rule, '', text) 35 | line = " ".join(list(jieba.cut(line))) 36 | return (line, data[1]) 37 | 38 | spark = SparkSession.builder.appName('nlp').getOrCreate() 39 | 40 | train_df = spark_read_csv_bf(spark, 'file:///home/root/emailclass/train.csv', ["content","label"]) 41 | train_df = train_df.filter(((train_df.label =='1') | (train_df.label == '0'))) 42 | train_df.printSchema() 43 | train_df = train_df.withColumn('label', train_df.label.cast('int')) 44 | train_df.show(5,False) 45 | 46 | train_df = train_df.sample(False,0.01,0) 47 | 48 | test_df = spark_read_csv_bf(spark, 'file:///home/root/emailclass/test.csv', ["content"]) 49 | test_df.printSchema() 50 | test_df = test_df.withColumn('label',functions.lit(0)) 51 | test_df.show(5,False) 52 | 53 | test_df = test_df.sample(False, 0.01, 0) 54 | 55 | 56 | rdd = train_df.rdd 57 | rdd = rdd.map(content2words) 58 | train_df = spark.createDataFrame(rdd, ["content", "label"]) 59 | train_df.show(1, False) 60 | 61 | rdd = test_df.rdd 62 | rdd = rdd.map(content2words) 63 | test_df = spark.createDataFrame(rdd, ["content", "label"]) 64 | test_df.show(1, False) 65 | 66 | tokenization = Tokenizer(inputCol='content', outputCol='token') 67 | train_df = tokenization.transform(train_df) 68 | test_df = tokenization.transform(test_df) 69 | 70 | stopfile = io.open("stopwords.txt", "r", encoding="utf8") 71 | stopwordlist = stopfile.read().splitlines() 72 | stopfile.close() 73 | 74 | sw_removal = StopWordsRemover(inputCol='token', outputCol='new_token').setStopWords(stopwordlist) 75 | train_df = sw_removal.transform(train_df) 76 | test_df = sw_removal.transform(test_df) 77 | 78 | train_df.select(['token','new_token']).show(1, False) 79 | test_df.select(['token','new_token']).show(1, False) 80 | 81 | 82 | token_count = udf(lambda x: len(x), IntegerType()) 83 | 84 | train_df = train_df.withColumn('token_count', token_count(col('new_token'))) 85 | test_df = test_df.withColumn('token_count', token_count(col('new_token'))) 86 | 87 | 88 | tf_vector = HashingTF(inputCol='new_token', outputCol='tf_vector') 89 | 90 | train_tf_vec = tf_vector.transform(train_df) 91 | test_tf_vec = tf_vector.transform(test_df) 92 | 93 | 94 | tfidf_vector = IDF(inputCol='tf_vector', outputCol='tfidf_vector') 95 | 96 | train_tfidf_vec = tfidf_vector.fit(train_tf_vec).transform(train_tf_vec) 97 | test_tfidf_vec = tfidf_vector.fit(test_tf_vec).transform(test_tf_vec) 98 | 99 | 100 | assembler = VectorAssembler(inputCols=['tfidf_vector','token_count'], outputCol='X') 101 | 102 | train_tfidf_vec = assembler.transform(train_tfidf_vec) 103 | test_tfidf_vec = assembler.transform(test_tfidf_vec) 104 | 105 | 106 | train_data, dev_data = train_tfidf_vec.randomSplit([0.95, 0.05]) 107 | 108 | model = LogisticRegression(featuresCol='X', labelCol='label').fit(train_data) 109 | 110 | result_dev = model.evaluate(dev_data).predictions 111 | result_test = model.evaluate(test_tfidf_vec).predictions 112 | 113 | result_test = result_test.withColumn('final', result_test.prediction.cast('int')) 114 | result_test.select("final").write.csv(path="file:///home/root/emailclass/sub_1.csv", header="false") 115 | 116 | auc_dev = BinaryClassificationEvaluator(labelCol='label').evaluate(result_dev) 117 | 118 | print(auc_dev) 119 | 120 | -------------------------------------------------------------------------------- /垃圾邮件过滤/stopwords.txt: -------------------------------------------------------------------------------- 1 | $ 2 | 0 3 | 1 4 | 2 5 | 3 6 | 4 7 | 5 8 | 6 9 | 7 10 | 8 11 | 9 12 | ? 13 | _ 14 | “ 15 | ” 16 | 、 17 | 。 18 | 《 19 | 》 20 | 一 21 | 一些 22 | 一何 23 | 一切 24 | 一则 25 | 一方面 26 | 一旦 27 | 一来 28 | 一样 29 | 一般 30 | 一转眼 31 | 万一 32 | 上 33 | 上下 34 | 下 35 | 不 36 | 不仅 37 | 不但 38 | 不光 39 | 不单 40 | 不只 41 | 不外乎 42 | 不如 43 | 不妨 44 | 不尽 45 | 不尽然 46 | 不得 47 | 不怕 48 | 不惟 49 | 不成 50 | 不拘 51 | 不料 52 | 不是 53 | 不比 54 | 不然 55 | 不特 56 | 不独 57 | 不管 58 | 不至于 59 | 不若 60 | 不论 61 | 不过 62 | 不问 63 | 与 64 | 与其 65 | 与其说 66 | 与否 67 | 与此同时 68 | 且 69 | 且不说 70 | 且说 71 | 两者 72 | 个 73 | 个别 74 | 临 75 | 为 76 | 为了 77 | 为什么 78 | 为何 79 | 为止 80 | 为此 81 | 为着 82 | 乃 83 | 乃至 84 | 乃至于 85 | 么 86 | 之 87 | 之一 88 | 之所以 89 | 之类 90 | 乌乎 91 | 乎 92 | 乘 93 | 也 94 | 也好 95 | 也罢 96 | 了 97 | 二来 98 | 于 99 | 于是 100 | 于是乎 101 | 云云 102 | 云尔 103 | 些 104 | 亦 105 | 人 106 | 人们 107 | 人家 108 | 什么 109 | 什么样 110 | 今 111 | 介于 112 | 仍 113 | 仍旧 114 | 从 115 | 从此 116 | 从而 117 | 他 118 | 他人 119 | 他们 120 | 以 121 | 以上 122 | 以为 123 | 以便 124 | 以免 125 | 以及 126 | 以故 127 | 以期 128 | 以来 129 | 以至 130 | 以至于 131 | 以致 132 | 们 133 | 任 134 | 任何 135 | 任凭 136 | 似的 137 | 但 138 | 但凡 139 | 但是 140 | 何 141 | 何以 142 | 何况 143 | 何处 144 | 何时 145 | 余外 146 | 作为 147 | 你 148 | 你们 149 | 使 150 | 使得 151 | 例如 152 | 依 153 | 依据 154 | 依照 155 | 便于 156 | 俺 157 | 俺们 158 | 倘 159 | 倘使 160 | 倘或 161 | 倘然 162 | 倘若 163 | 借 164 | 假使 165 | 假如 166 | 假若 167 | 傥然 168 | 像 169 | 儿 170 | 先不先 171 | 光是 172 | 全体 173 | 全部 174 | 兮 175 | 关于 176 | 其 177 | 其一 178 | 其中 179 | 其二 180 | 其他 181 | 其余 182 | 其它 183 | 其次 184 | 具体地说 185 | 具体说来 186 | 兼之 187 | 内 188 | 再 189 | 再其次 190 | 再则 191 | 再有 192 | 再者 193 | 再者说 194 | 再说 195 | 冒 196 | 冲 197 | 况且 198 | 几 199 | 几时 200 | 凡 201 | 凡是 202 | 凭 203 | 凭借 204 | 出于 205 | 出来 206 | 分别 207 | 则 208 | 则甚 209 | 别 210 | 别人 211 | 别处 212 | 别是 213 | 别的 214 | 别管 215 | 别说 216 | 到 217 | 前后 218 | 前此 219 | 前者 220 | 加之 221 | 加以 222 | 即 223 | 即令 224 | 即使 225 | 即便 226 | 即如 227 | 即或 228 | 即若 229 | 却 230 | 去 231 | 又 232 | 又及 233 | 及 234 | 及其 235 | 及至 236 | 反之 237 | 反而 238 | 反过来 239 | 反过来说 240 | 受到 241 | 另 242 | 另一方面 243 | 另外 244 | 另悉 245 | 只 246 | 只当 247 | 只怕 248 | 只是 249 | 只有 250 | 只消 251 | 只要 252 | 只限 253 | 叫 254 | 叮咚 255 | 可 256 | 可以 257 | 可是 258 | 可见 259 | 各 260 | 各个 261 | 各位 262 | 各种 263 | 各自 264 | 同 265 | 同时 266 | 后 267 | 后者 268 | 向 269 | 向使 270 | 向着 271 | 吓 272 | 吗 273 | 否则 274 | 吧 275 | 吧哒 276 | 吱 277 | 呀 278 | 呃 279 | 呕 280 | 呗 281 | 呜 282 | 呜呼 283 | 呢 284 | 呵 285 | 呵呵 286 | 呸 287 | 呼哧 288 | 咋 289 | 和 290 | 咚 291 | 咦 292 | 咧 293 | 咱 294 | 咱们 295 | 咳 296 | 哇 297 | 哈 298 | 哈哈 299 | 哉 300 | 哎 301 | 哎呀 302 | 哎哟 303 | 哗 304 | 哟 305 | 哦 306 | 哩 307 | 哪 308 | 哪个 309 | 哪些 310 | 哪儿 311 | 哪天 312 | 哪年 313 | 哪怕 314 | 哪样 315 | 哪边 316 | 哪里 317 | 哼 318 | 哼唷 319 | 唉 320 | 唯有 321 | 啊 322 | 啐 323 | 啥 324 | 啦 325 | 啪达 326 | 啷当 327 | 喂 328 | 喏 329 | 喔唷 330 | 喽 331 | 嗡 332 | 嗡嗡 333 | 嗬 334 | 嗯 335 | 嗳 336 | 嘎 337 | 嘎登 338 | 嘘 339 | 嘛 340 | 嘻 341 | 嘿 342 | 嘿嘿 343 | 因 344 | 因为 345 | 因了 346 | 因此 347 | 因着 348 | 因而 349 | 固然 350 | 在 351 | 在下 352 | 在于 353 | 地 354 | 基于 355 | 处在 356 | 多 357 | 多么 358 | 多少 359 | 大 360 | 大家 361 | 她 362 | 她们 363 | 好 364 | 如 365 | 如上 366 | 如上所述 367 | 如下 368 | 如何 369 | 如其 370 | 如同 371 | 如是 372 | 如果 373 | 如此 374 | 如若 375 | 始而 376 | 孰料 377 | 孰知 378 | 宁 379 | 宁可 380 | 宁愿 381 | 宁肯 382 | 它 383 | 它们 384 | 对 385 | 对于 386 | 对待 387 | 对方 388 | 对比 389 | 将 390 | 小 391 | 尔 392 | 尔后 393 | 尔尔 394 | 尚且 395 | 就 396 | 就是 397 | 就是了 398 | 就是说 399 | 就算 400 | 就要 401 | 尽 402 | 尽管 403 | 尽管如此 404 | 岂但 405 | 己 406 | 已 407 | 已矣 408 | 巴 409 | 巴巴 410 | 并 411 | 并且 412 | 并非 413 | 庶乎 414 | 庶几 415 | 开外 416 | 开始 417 | 归 418 | 归齐 419 | 当 420 | 当地 421 | 当然 422 | 当着 423 | 彼 424 | 彼时 425 | 彼此 426 | 往 427 | 待 428 | 很 429 | 得 430 | 得了 431 | 怎 432 | 怎么 433 | 怎么办 434 | 怎么样 435 | 怎奈 436 | 怎样 437 | 总之 438 | 总的来看 439 | 总的来说 440 | 总的说来 441 | 总而言之 442 | 恰恰相反 443 | 您 444 | 惟其 445 | 慢说 446 | 我 447 | 我们 448 | 或 449 | 或则 450 | 或是 451 | 或曰 452 | 或者 453 | 截至 454 | 所 455 | 所以 456 | 所在 457 | 所幸 458 | 所有 459 | 才 460 | 才能 461 | 打 462 | 打从 463 | 把 464 | 抑或 465 | 拿 466 | 按 467 | 按照 468 | 换句话说 469 | 换言之 470 | 据 471 | 据此 472 | 接着 473 | 故 474 | 故此 475 | 故而 476 | 旁人 477 | 无 478 | 无宁 479 | 无论 480 | 既 481 | 既往 482 | 既是 483 | 既然 484 | 时候 485 | 是 486 | 是以 487 | 是的 488 | 曾 489 | 替 490 | 替代 491 | 最 492 | 有 493 | 有些 494 | 有关 495 | 有及 496 | 有时 497 | 有的 498 | 望 499 | 朝 500 | 朝着 501 | 本 502 | 本人 503 | 本地 504 | 本着 505 | 本身 506 | 来 507 | 来着 508 | 来自 509 | 来说 510 | 极了 511 | 果然 512 | 果真 513 | 某 514 | 某个 515 | 某些 516 | 某某 517 | 根据 518 | 欤 519 | 正值 520 | 正如 521 | 正巧 522 | 正是 523 | 此 524 | 此地 525 | 此处 526 | 此外 527 | 此时 528 | 此次 529 | 此间 530 | 毋宁 531 | 每 532 | 每当 533 | 比 534 | 比及 535 | 比如 536 | 比方 537 | 没奈何 538 | 沿 539 | 沿着 540 | 漫说 541 | 焉 542 | 然则 543 | 然后 544 | 然而 545 | 照 546 | 照着 547 | 犹且 548 | 犹自 549 | 甚且 550 | 甚么 551 | 甚或 552 | 甚而 553 | 甚至 554 | 甚至于 555 | 用 556 | 用来 557 | 由 558 | 由于 559 | 由是 560 | 由此 561 | 由此可见 562 | 的 563 | 的确 564 | 的话 565 | 直到 566 | 相对而言 567 | 省得 568 | 看 569 | 眨眼 570 | 着 571 | 着呢 572 | 矣 573 | 矣乎 574 | 矣哉 575 | 离 576 | 竟而 577 | 第 578 | 等 579 | 等到 580 | 等等 581 | 简言之 582 | 管 583 | 类如 584 | 紧接着 585 | 纵 586 | 纵令 587 | 纵使 588 | 纵然 589 | 经 590 | 经过 591 | 结果 592 | 给 593 | 继之 594 | 继后 595 | 继而 596 | 综上所述 597 | 罢了 598 | 者 599 | 而 600 | 而且 601 | 而况 602 | 而后 603 | 而外 604 | 而已 605 | 而是 606 | 而言 607 | 能 608 | 能否 609 | 腾 610 | 自 611 | 自个儿 612 | 自从 613 | 自各儿 614 | 自后 615 | 自家 616 | 自己 617 | 自打 618 | 自身 619 | 至 620 | 至于 621 | 至今 622 | 至若 623 | 致 624 | 般的 625 | 若 626 | 若夫 627 | 若是 628 | 若果 629 | 若非 630 | 莫不然 631 | 莫如 632 | 莫若 633 | 虽 634 | 虽则 635 | 虽然 636 | 虽说 637 | 被 638 | 要 639 | 要不 640 | 要不是 641 | 要不然 642 | 要么 643 | 要是 644 | 譬喻 645 | 譬如 646 | 让 647 | 许多 648 | 论 649 | 设使 650 | 设或 651 | 设若 652 | 诚如 653 | 诚然 654 | 该 655 | 说来 656 | 诸 657 | 诸位 658 | 诸如 659 | 谁 660 | 谁人 661 | 谁料 662 | 谁知 663 | 贼死 664 | 赖以 665 | 赶 666 | 起 667 | 起见 668 | 趁 669 | 趁着 670 | 越是 671 | 距 672 | 跟 673 | 较 674 | 较之 675 | 边 676 | 过 677 | 还 678 | 还是 679 | 还有 680 | 还要 681 | 这 682 | 这一来 683 | 这个 684 | 这么 685 | 这么些 686 | 这么样 687 | 这么点儿 688 | 这些 689 | 这会儿 690 | 这儿 691 | 这就是说 692 | 这时 693 | 这样 694 | 这次 695 | 这般 696 | 这边 697 | 这里 698 | 进而 699 | 连 700 | 连同 701 | 逐步 702 | 通过 703 | 遵循 704 | 遵照 705 | 那 706 | 那个 707 | 那么 708 | 那么些 709 | 那么样 710 | 那些 711 | 那会儿 712 | 那儿 713 | 那时 714 | 那样 715 | 那般 716 | 那边 717 | 那里 718 | 都 719 | 鄙人 720 | 鉴于 721 | 针对 722 | 阿 723 | 除 724 | 除了 725 | 除外 726 | 除开 727 | 除此之外 728 | 除非 729 | 随 730 | 随后 731 | 随时 732 | 随着 733 | 难道说 734 | 非但 735 | 非徒 736 | 非特 737 | 非独 738 | 靠 739 | 顺 740 | 顺着 741 | 首先 742 | ！ 743 | ， 744 | ： 745 | ； 746 | ？ 747 | -------------------------------------------------------------------------------- /problem2/python/result.json: -------------------------------------------------------------------------------- 1 | ["order", "1", "36901", "O", "173665.47", "1996-01-02", "5-LOW", "Clerk#000000951", "0", "nstructions sleep furiously among ", "line_item", "1", "15635", "638", "6", "32", "49620.16", "0.07", "0.02", "N", "O", "1996-01-30", "1996-02-07", "1996-02-03", "DELIVER IN PERSON", "MAIL", "arefully slyly ex"] 2 | ["order", "1", "36901", "O", "173665.47", "1996-01-02", "5-LOW", "Clerk#000000951", "0", "nstructions sleep furiously among ", "line_item", "1", "24027", "1534", "5", "24", "22824.48", "0.10", "0.04", "N", "O", "1996-03-30", "1996-03-14", "1996-04-01", "NONE", "FOB", " pending foxes. slyly re"] 3 | ["order", "1", "36901", "O", "173665.47", "1996-01-02", "5-LOW", "Clerk#000000951", "0", "nstructions sleep furiously among ", "line_item", "1", "2132", "4633", "4", "28", "28955.64", "0.09", "0.06", "N", "O", "1996-04-21", "1996-03-30", "1996-05-16", "NONE", "AIR", "lites. fluffily even de"] 4 | ["order", "1", "36901", "O", "173665.47", "1996-01-02", "5-LOW", "Clerk#000000951", "0", "nstructions sleep furiously among ", "line_item", "1", "63700", "3701", "3", "8", "13309.60", "0.10", "0.02", "N", "O", "1996-01-29", "1996-03-05", "1996-01-31", "TAKE BACK 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"] 20 | ["order", "3", "123314", "F", "193846.25", "1993-10-14", "5-LOW", "Clerk#000000955", "0", "sly final accounts boost. carefully regular ideas cajole carefully. depos", "line_item", "3", "19036", "6540", "2", "49", "46796.47", "0.10", "0.00", "R", "F", "1993-11-09", "1993-12-20", "1993-11-24", "TAKE BACK RETURN", "RAIL", " unusual accounts. eve"] 21 | ["order", "3", "123314", "F", "193846.25", "1993-10-14", "5-LOW", "Clerk#000000955", "0", "sly final accounts boost. carefully regular ideas cajole carefully. depos", "line_item", "3", "4297", "1798", "1", "45", "54058.05", "0.06", "0.00", "R", "F", "1994-02-02", "1994-01-04", "1994-02-23", "NONE", "AIR", "ongside of the furiously brave acco"] 22 | ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH", "Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep", "line_item", "32", "11615", "4117", "6", "6", "9159.66", "0.04", "0.03", "N", "O", "1995-07-21", "1995-09-23", "1995-07-25", "COLLECT COD", "RAIL", " gifts cajole carefully."] 23 | ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH", "Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep", "line_item", "32", "85811", "8320", "5", "44", "79059.64", "0.05", "0.06", "N", "O", "1995-08-28", "1995-08-20", "1995-09-14", "DELIVER IN PERSON", "AIR", "symptotes nag according to the ironic depo"] 24 | ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH", "Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep", "line_item", "32", "2743", "7744", "4", "4", "6582.96", "0.09", "0.03", "N", "O", "1995-08-04", "1995-10-01", "1995-09-03", "NONE", "REG AIR", "e slyly final pac"] 25 | ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH", "Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep", "line_item", "32", "44161", "6666", "3", "2", "2210.32", "0.09", "0.02", "N", "O", "1995-08-07", "1995-10-07", "1995-08-23", "DELIVER IN PERSON", "AIR", " express accounts wake according to the"] 26 | ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH", "Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep", "line_item", "32", "197921", "441", "2", "32", "64605.44", "0.02", "0.00", "N", "O", "1995-08-14", "1995-10-07", "1995-08-27", "COLLECT COD", "AIR", "lithely regular deposits. fluffily "] 27 | ["order", "32", "130057", "O", "208660.75", "1995-07-16", "2-HIGH", "Clerk#000000616", "0", "ise blithely bold, regular requests. quickly unusual dep", "line_item", "32", "82704", "7721", "1", "28", "47227.60", "0.05", "0.08", "N", "O", "1995-10-23", "1995-08-27", "1995-10-26", "TAKE BACK RETURN", "TRUCK", "sleep quickly. req"] 28 | ["order", "4", "136777", "O", "32151.78", "1995-10-11", "5-LOW", "Clerk#000000124", "0", "sits. slyly regular warthogs cajole. regular, regular theodolites acro", "line_item", "4", "88035", "5560", "1", "30", "30690.90", "0.03", "0.08", "N", "O", "1996-01-10", "1995-12-14", "1996-01-18", "DELIVER IN PERSON", "REG AIR", "- quickly regular packages sleep. idly"] 29 | ["order", "5", "44485", "F", "144659.20", "1994-07-30", "5-LOW", "Clerk#000000925", "0", "quickly. bold deposits sleep slyly. packages use slyly", "line_item", "5", "37531", "35", "3", "50", "73426.50", "0.08", "0.03", "A", "F", "1994-08-08", "1994-10-13", "1994-08-26", "DELIVER IN PERSON", "AIR", "eodolites. fluffily unusual"] 30 | ["order", "5", "44485", "F", "144659.20", "1994-07-30", "5-LOW", "Clerk#000000925", "0", "quickly. bold deposits sleep slyly. packages use slyly", "line_item", "5", "123927", "3928", "2", "26", "50723.92", "0.07", "0.08", "R", "F", "1994-10-16", "1994-09-25", "1994-10-19", "NONE", "FOB", "sts use slyly quickly special instruc"] 31 | ["order", "5", "44485", "F", "144659.20", "1994-07-30", "5-LOW", "Clerk#000000925", "0", "quickly. bold deposits sleep slyly. packages use slyly", "line_item", "5", "108570", "8571", "1", "15", "23678.55", "0.02", "0.04", "R", "F", "1994-10-31", "1994-08-31", "1994-11-20", "NONE", "AIR", "ts wake furiously "] 32 | -------------------------------------------------------------------------------- /problem1/python/result.json: -------------------------------------------------------------------------------- 1 | signe ['shakespeare-caesar.txt'] 2 | What ['shakespeare-caesar.txt'] 3 | indeed ['shakespeare-caesar.txt', 'chesterton-thursday.txt'] 4 | Self ['whitman-leaves.txt'] 5 | four ['edgeworth-parents.txt'] 6 | brain ['melville-moby_dick.txt'] 7 | winds ['whitman-leaves.txt'] 8 | utter ['whitman-leaves.txt'] 9 | fear ['chesterton-thursday.txt'] 10 | soules ['shakespeare-caesar.txt'] 11 | children ['edgeworth-parents.txt'] 12 | seemed ['austen-emma.txt', 'chesterton-ball.txt'] 13 | William ['shakespeare-caesar.txt', 'blake-poems.txt'] 14 | with ['melville-moby_dick.txt', 'shakespeare-caesar.txt', 'blake-poems.txt', 'whitman-leaves.txt', 'austen-emma.txt', 'milton-paradise.txt'] 15 | , ['milton-paradise.txt', 'chesterton-ball.txt', 'austen-emma.txt', 'chesterton-thursday.txt', 'bible-kjv.txt', 'edgeworth-parents.txt', 'shakespeare-caesar.txt', 'whitman-leaves.txt', 'blake-poems.txt', 'melville-moby_dick.txt'] 16 | vex ['austen-emma.txt'] 17 | spinner ['edgeworth-parents.txt'] 18 | Tallying ['whitman-leaves.txt'] 19 | On ['blake-poems.txt'] 20 | his ['austen-emma.txt', 'melville-moby_dick.txt'] 21 | return ['whitman-leaves.txt'] 22 | certaine ['shakespeare-caesar.txt'] 23 | very ['chesterton-thursday.txt', 'austen-emma.txt', 'edgeworth-parents.txt'] 24 | void ['bible-kjv.txt'] 25 | rhyme ['milton-paradise.txt'] 26 | adventurous ['milton-paradise.txt'] 27 | loss ['milton-paradise.txt'] 28 | OF ['blake-poems.txt'] 29 | EXPERIENCE ['blake-poems.txt'] 30 | announced ['chesterton-thursday.txt'] 31 | Milton ['milton-paradise.txt'] 32 | widow ['edgeworth-parents.txt'] 33 | Vpon ['shakespeare-caesar.txt'] 34 | old ['chesterton-thursday.txt', 'melville-moby_dick.txt'] 35 | Rose ['milton-paradise.txt'] 36 | Chaos ['milton-paradise.txt'] 37 | seat ['milton-paradise.txt'] 38 | VOLUME ['austen-emma.txt'] 39 | Lucifer ['chesterton-ball.txt'] 40 | Shakespeare ['shakespeare-caesar.txt'] 41 | John ['milton-paradise.txt'] 42 | Moses ['bible-kjv.txt'] 43 | out ['milton-paradise.txt'] 44 | blue ['chesterton-ball.txt'] 45 | Life ['chesterton-thursday.txt'] 46 | ' ['whitman-leaves.txt', 'blake-poems.txt', 'milton-paradise.txt', 'edgeworth-parents.txt', 'austen-emma.txt'] 47 | Delight ['milton-paradise.txt'] 48 | ; ['edgeworth-parents.txt', 'austen-emma.txt', 'chesterton-thursday.txt', 'bible-kjv.txt', 'chesterton-ball.txt', 'blake-poems.txt', 'melville-moby_dick.txt'] 49 | ever ['melville-moby_dick.txt', 'whitman-leaves.txt'] 50 | Apparrell ['shakespeare-caesar.txt'] 51 | be ['chesterton-ball.txt', 'bible-kjv.txt'] 52 | Emma ['austen-emma.txt'] 53 | Ball ['chesterton-ball.txt'] 54 | merry ['blake-poems.txt'] 55 | crippled ['chesterton-thursday.txt'] 56 | invented ['chesterton-ball.txt'] 57 | by ['shakespeare-caesar.txt', 'melville-moby_dick.txt', 'whitman-leaves.txt', 'blake-poems.txt', 'austen-emma.txt', 'chesterton-ball.txt', 'chesterton-thursday.txt', 'milton-paradise.txt', 'edgeworth-parents.txt'] 58 | about ['blake-poems.txt'] 59 | En ['whitman-leaves.txt'] 60 | spheres ['whitman-leaves.txt'] 61 | fell ['edgeworth-parents.txt'] 62 | Sion ['milton-paradise.txt'] 63 | Blake ['blake-poems.txt'] 64 | There ['whitman-leaves.txt'] 65 | Cobl ['shakespeare-caesar.txt'] 66 | Was ['chesterton-thursday.txt'] 67 | Genesis ['bible-kjv.txt'] 68 | " ['blake-poems.txt'] 69 | her ['austen-emma.txt', 'edgeworth-parents.txt'] 70 | top ['milton-paradise.txt'] 71 | But ['shakespeare-caesar.txt'] 72 | cabin ['edgeworth-parents.txt'] 73 | Leather ['shakespeare-caesar.txt'] 74 | Science ['chesterton-thursday.txt'] 75 | So ['blake-poems.txt'] 76 | SOMEWHAT ['chesterton-ball.txt'] 77 | Democratic ['whitman-leaves.txt'] 78 | herself ['edgeworth-parents.txt'] 79 | handsome ['austen-emma.txt'] 80 | word ['whitman-leaves.txt'] 81 | when ['chesterton-thursday.txt'] 82 | up ['edgeworth-parents.txt'] 83 | idle ['shakespeare-caesar.txt'] 84 | BOOK ['whitman-leaves.txt', 'blake-poems.txt'] 85 | Usher ['melville-moby_dick.txt'] 86 | laughter ['chesterton-thursday.txt'] 87 | vse ['shakespeare-caesar.txt'] 88 | admired ['chesterton-thursday.txt'] 89 | shepherd ['milton-paradise.txt'] 90 | soil ['whitman-leaves.txt'] 91 | Dick ['melville-moby_dick.txt'] 92 | mind ['chesterton-thursday.txt'] 93 | deep ['bible-kjv.txt'] 94 | Siloa ['milton-paradise.txt'] 95 | blissful ['milton-paradise.txt'] 96 | sir ['shakespeare-caesar.txt'] 97 | parish ['edgeworth-parents.txt'] 98 | divided ['bible-kjv.txt'] 99 | song ['blake-poems.txt', 'milton-paradise.txt'] 100 | able ['edgeworth-parents.txt'] 101 | unite ['austen-emma.txt'] 102 | Mary ['edgeworth-parents.txt'] 103 | 1 ['bible-kjv.txt'] 104 | how ['milton-paradise.txt'] 105 | without ['bible-kjv.txt', 'shakespeare-caesar.txt'] 106 | you ['shakespeare-caesar.txt', 'chesterton-thursday.txt'] 107 | lit ['chesterton-thursday.txt'] 108 | Man ['milton-paradise.txt', 'chesterton-thursday.txt'] 109 | moved ['bible-kjv.txt'] 110 | Like ['chesterton-thursday.txt'] 111 | separate ['whitman-leaves.txt'] 112 | who ['milton-paradise.txt', 'austen-emma.txt'] 113 | Soul ['whitman-leaves.txt'] 114 | fruit ['milton-paradise.txt'] 115 | The ['melville-moby_dick.txt', 'shakespeare-caesar.txt', 'bible-kjv.txt', 'chesterton-ball.txt', 'edgeworth-parents.txt', 'chesterton-thursday.txt'] 116 | SONGS ['blake-poems.txt'] 117 | clear ['blake-poems.txt'] 118 | face ['bible-kjv.txt'] 119 | Lust ['chesterton-thursday.txt'] 120 | cheer ['blake-poems.txt'] 121 | accounted ['edgeworth-parents.txt'] 122 | songs ['blake-poems.txt'] 123 | reminded ['melville-moby_dick.txt'] 124 | forbidden ['milton-paradise.txt'] 125 | supplied ['austen-emma.txt'] 126 | Paradise ['milton-paradise.txt'] 127 | heavens ['milton-paradise.txt'] 128 | whose ['milton-paradise.txt'] 129 | industrious ['edgeworth-parents.txt'] 130 | Parent ['edgeworth-parents.txt'] 131 | thence ['milton-paradise.txt'] 132 | ( ['shakespeare-caesar.txt', 'whitman-leaves.txt', 'melville-moby_dick.txt'] 133 | white ['chesterton-thursday.txt', 'chesterton-ball.txt'] 134 | Mechanicall ['shakespeare-caesar.txt'] 135 | rural ['blake-poems.txt'] 136 | th ['milton-paradise.txt'] 137 | World ['milton-paradise.txt'] 138 | me ['shakespeare-caesar.txt', 'blake-poems.txt'] 139 | them ['whitman-leaves.txt'] 140 | good ['bible-kjv.txt'] 141 | Prima ['shakespeare-caesar.txt'] 142 | get ['shakespeare-caesar.txt'] 143 | Leaves ['whitman-leaves.txt'] 144 | safe ['shakespeare-caesar.txt'] 145 | While ['blake-poems.txt'] 146 | were ['chesterton-thursday.txt', 'bible-kjv.txt'] 147 | THE ['blake-poems.txt', 'chesterton-ball.txt', 'edgeworth-parents.txt'] 148 | now ['whitman-leaves.txt', 'melville-moby_dick.txt'] 149 | owning ['whitman-leaves.txt'] 150 | d ['blake-poems.txt', 'whitman-leaves.txt'] 151 | Bentley ['chesterton-thursday.txt'] 152 | -- ['chesterton-thursday.txt', 'whitman-leaves.txt', 'melville-moby_dick.txt'] 153 | governess ['austen-emma.txt'] 154 | Profession ['shakespeare-caesar.txt'] 155 | morning ['bible-kjv.txt'] 156 | sang ['blake-poems.txt', 'chesterton-ball.txt'] 157 | bad ['shakespeare-caesar.txt'] 158 | she ['edgeworth-parents.txt'] 159 | arrow ['chesterton-ball.txt'] 160 | 1908 ['chesterton-thursday.txt'] 161 | Woodhouse ['austen-emma.txt'] 162 | home ['austen-emma.txt', 'shakespeare-caesar.txt'] 163 | best ['austen-emma.txt', 'edgeworth-parents.txt', 'shakespeare-caesar.txt'] 164 | INSCRIPTIONS ['whitman-leaves.txt'] 165 | unattempted ['milton-paradise.txt'] 166 | INTRODUCTION ['blake-poems.txt'] 167 | Muse ['milton-paradise.txt'] 168 | hill ['milton-paradise.txt'] 169 | above ['chesterton-ball.txt'] 170 | piped ['blake-poems.txt'] 171 | Stage ['shakespeare-caesar.txt'] 172 | body ['melville-moby_dick.txt'] 173 | we ['whitman-leaves.txt', 'chesterton-thursday.txt'] 174 | Drop ['blake-poems.txt'] 175 | Eden ['milton-paradise.txt'] 176 | upon ['bible-kjv.txt', 'chesterton-thursday.txt'] 177 | K ['chesterton-thursday.txt', 'chesterton-ball.txt'] 178 | men ['chesterton-thursday.txt', 'chesterton-ball.txt'] 179 | here ['whitman-leaves.txt'] 180 | Near ['edgeworth-parents.txt'] 181 | let ['whitman-leaves.txt'] 182 | Flauius ['shakespeare-caesar.txt'] 183 | First ['bible-kjv.txt'] 184 | Being ['shakespeare-caesar.txt'] 185 | could ['edgeworth-parents.txt'] 186 | indulgent ['austen-emma.txt'] 187 | s ['whitman-leaves.txt', 'edgeworth-parents.txt', 'austen-emma.txt', 'milton-paradise.txt'] 188 | blessings ['austen-emma.txt'] 189 | hence ['whitman-leaves.txt'] 190 | or ['milton-paradise.txt', 'austen-emma.txt'] 191 | Lamb ['blake-poems.txt'] 192 | own ['chesterton-thursday.txt'] 193 | waves ['whitman-leaves.txt'] 194 | period ['austen-emma.txt'] 195 | down ['blake-poems.txt'] 196 | Book ['milton-paradise.txt', 'bible-kjv.txt'] 197 | gleaming ['chesterton-ball.txt'] 198 | directly ['shakespeare-caesar.txt'] 199 | respect ['shakespeare-caesar.txt'] 200 | Sinai ['milton-paradise.txt'] 201 | cloud ['chesterton-thursday.txt', 'blake-poems.txt'] 202 | would ['shakespeare-caesar.txt'] 203 | Mender ['shakespeare-caesar.txt'] 204 | ." ['blake-poems.txt'] 205 | been ['austen-emma.txt'] 206 | their ['chesterton-thursday.txt'] 207 | 2 ['bible-kjv.txt'] 208 | mockingly ['melville-moby_dick.txt'] 209 | Herman ['melville-moby_dick.txt'] 210 | more ['austen-emma.txt', 'milton-paradise.txt'] 211 | affectionate ['austen-emma.txt'] 212 | flight ['milton-paradise.txt'] 213 | boys ['chesterton-thursday.txt'] 214 | Fla ['shakespeare-caesar.txt'] 215 | comfortable ['austen-emma.txt'] 216 | Round ['chesterton-thursday.txt'] 217 | he ['bible-kjv.txt', 'blake-poems.txt'] 218 | And ['bible-kjv.txt', 'blake-poems.txt'] 219 | Masse ['whitman-leaves.txt'] 220 | Signing ['whitman-leaves.txt'] 221 | middle ['milton-paradise.txt'] 222 | this ['shakespeare-caesar.txt'] 223 | marriage ['austen-emma.txt'] 224 | faded ['chesterton-thursday.txt'] 225 | my ['milton-paradise.txt', 'whitman-leaves.txt', 'blake-poems.txt'] 226 | called ['bible-kjv.txt'] 227 | affection ['austen-emma.txt'] 228 | taste ['milton-paradise.txt'] 229 | lock ['chesterton-thursday.txt'] 230 | is ['edgeworth-parents.txt', 'shakespeare-caesar.txt'] 231 | AIR ['chesterton-ball.txt'] 232 | Late ['melville-moby_dick.txt'] 233 | To ['chesterton-thursday.txt'] 234 | evening ['chesterton-ball.txt', 'bible-kjv.txt'] 235 | have ['austen-emma.txt'] 236 | in ['shakespeare-caesar.txt', 'melville-moby_dick.txt', 'whitman-leaves.txt', 'edgeworth-parents.txt', 'chesterton-ball.txt', 'milton-paradise.txt', 'chesterton-thursday.txt', 'austen-emma.txt'] 237 | Aonian ['milton-paradise.txt'] 238 | - ['whitman-leaves.txt', 'austen-emma.txt'] 239 | ,) ['whitman-leaves.txt'] 240 | write ['blake-poems.txt', 'whitman-leaves.txt'] 241 | Workman ['shakespeare-caesar.txt'] 242 | Maria ['edgeworth-parents.txt'] 243 | A ['shakespeare-caesar.txt', 'chesterton-thursday.txt', 'chesterton-ball.txt'] 244 | after ['whitman-leaves.txt'] 245 | :!" ['blake-poems.txt'] 246 | Enter ['shakespeare-caesar.txt'] 247 | short ['austen-emma.txt'] 248 | lost ['chesterton-thursday.txt'] 249 | One ['whitman-leaves.txt'] 250 | pipe ['blake-poems.txt'] 251 | person ['whitman-leaves.txt'] 252 | As ['edgeworth-parents.txt'] 253 | flags ['melville-moby_dick.txt'] 254 | Earth ['whitman-leaves.txt'] 255 | } ['whitman-leaves.txt'] 256 | order ['chesterton-thursday.txt'] 257 | inspire ['milton-paradise.txt'] 258 | Consumptive ['melville-moby_dick.txt'] 259 | child ['blake-poems.txt'] 260 | queer ['melville-moby_dick.txt'] 261 | its ['chesterton-thursday.txt'] 262 | steel ['chesterton-ball.txt'] 263 | father ['austen-emma.txt'] 264 | Sing ['milton-paradise.txt', 'blake-poems.txt', 'whitman-leaves.txt'] 265 | Day ['bible-kjv.txt'] 266 | ought ['shakespeare-caesar.txt'] 267 | do ['edgeworth-parents.txt'] 268 | woman ['austen-emma.txt'] 269 | which ['shakespeare-caesar.txt', 'edgeworth-parents.txt'] 270 | Of ['milton-paradise.txt', 'shakespeare-caesar.txt'] 271 | stung ['chesterton-thursday.txt'] 272 | early ['austen-emma.txt'] 273 | like ['chesterton-ball.txt'] 274 | laughing ['blake-poems.txt'] 275 | Austen ['austen-emma.txt'] 276 | went ['chesterton-thursday.txt'] 277 | ruins ['edgeworth-parents.txt'] 278 | wrote ['blake-poems.txt'] 279 | CHAPTER ['austen-emma.txt'] 280 | obliged ['edgeworth-parents.txt'] 281 | some ['austen-emma.txt', 'whitman-leaves.txt'] 282 | bleak ['chesterton-ball.txt'] 283 | tumultuous ['whitman-leaves.txt'] 284 | what ['shakespeare-caesar.txt'] 285 | there ['bible-kjv.txt', 'edgeworth-parents.txt'] 286 | Cobler ['shakespeare-caesar.txt'] 287 | 1855 ['whitman-leaves.txt'] 288 | everything ['chesterton-ball.txt'] 289 | 3 ['bible-kjv.txt'] 290 | woe ['milton-paradise.txt'] 291 | waters ['bible-kjv.txt'] 292 | G ['chesterton-ball.txt', 'chesterton-thursday.txt'] 293 | ETYMOLOGY ['melville-moby_dick.txt'] 294 | mistress ['austen-emma.txt'] 295 | AND ['blake-poems.txt'] 296 | on ['milton-paradise.txt', 'chesterton-thursday.txt', 'shakespeare-caesar.txt', 'whitman-leaves.txt'] 297 | last ['edgeworth-parents.txt'] 298 | ill ['edgeworth-parents.txt'] 299 | so ['edgeworth-parents.txt'] 300 | keep ['whitman-leaves.txt'] 301 | consequence ['austen-emma.txt'] 302 | nonentity ['chesterton-thursday.txt'] 303 | Conscience ['shakespeare-caesar.txt'] 304 | THEL ['blake-poems.txt'] 305 | Clerihew ['chesterton-thursday.txt'] 306 | brook ['milton-paradise.txt'] 307 | Ireland ['edgeworth-parents.txt'] 308 | 1909 ['chesterton-ball.txt'] 309 | Answer ['shakespeare-caesar.txt'] 310 | [ ['whitman-leaves.txt', 'shakespeare-caesar.txt', 'melville-moby_dick.txt', 'blake-poems.txt', 'milton-paradise.txt', 'chesterton-thursday.txt', 'bible-kjv.txt', 'chesterton-ball.txt', 'austen-emma.txt', 'edgeworth-parents.txt'] 311 | little ['austen-emma.txt'] 312 | from ['bible-kjv.txt', 'austen-emma.txt', 'blake-poems.txt'] 313 | dusting ['melville-moby_dick.txt'] 314 | two ['austen-emma.txt', 'chesterton-ball.txt'] 315 | . ['melville-moby_dick.txt', 'whitman-leaves.txt', 'shakespeare-caesar.txt', 'blake-poems.txt', 'bible-kjv.txt', 'edgeworth-parents.txt', 'chesterton-thursday.txt', 'chesterton-ball.txt', 'austen-emma.txt', 'milton-paradise.txt'] 316 | caresses ['austen-emma.txt'] 317 | was ['bible-kjv.txt', 'chesterton-ball.txt', 'edgeworth-parents.txt', 'austen-emma.txt', 'chesterton-thursday.txt', 'melville-moby_dick.txt'] 318 | happy ['blake-poems.txt', 'austen-emma.txt'] 319 | form ['bible-kjv.txt'] 320 | flying ['chesterton-ball.txt'] 321 | but ['edgeworth-parents.txt', 'chesterton-thursday.txt', 'shakespeare-caesar.txt'] 322 | hear ['blake-poems.txt'] 323 | Night ['bible-kjv.txt'] 324 | 1599 ['shakespeare-caesar.txt'] 325 | had ['austen-emma.txt', 'chesterton-ball.txt', 'chesterton-thursday.txt'] 326 | fly ['chesterton-thursday.txt'] 327 | sit ['edgeworth-parents.txt', 'blake-poems.txt'] 328 | work ['edgeworth-parents.txt'] 329 | soul ['whitman-leaves.txt', 'chesterton-thursday.txt'] 330 | mortality ['melville-moby_dick.txt'] 331 | handkerchief ['melville-moby_dick.txt'] 332 | labouring ['shakespeare-caesar.txt'] 333 | am ['shakespeare-caesar.txt'] 334 | it ['milton-paradise.txt', 'chesterton-ball.txt', 'edgeworth-parents.txt', 'bible-kjv.txt', 'melville-moby_dick.txt'] 335 | Thursday ['chesterton-thursday.txt'] 336 | shame ['chesterton-thursday.txt'] 337 | ship ['chesterton-ball.txt'] 338 | Trade ['shakespeare-caesar.txt'] 339 | saw ['bible-kjv.txt', 'blake-poems.txt'] 340 | gay ['melville-moby_dick.txt', 'chesterton-thursday.txt'] 341 | didst ['milton-paradise.txt'] 342 | ) ['melville-moby_dick.txt', 'shakespeare-caesar.txt'] 343 | self ['whitman-leaves.txt'] 344 | Carpenter ['shakespeare-caesar.txt'] 345 | also ['chesterton-ball.txt'] 346 | intends ['milton-paradise.txt'] 347 | other ['whitman-leaves.txt'] 348 | sick ['chesterton-thursday.txt'] 349 | James ['bible-kjv.txt'] 350 | Poems ['blake-poems.txt'] 351 | pursues ['milton-paradise.txt'] 352 | ORPHANS ['edgeworth-parents.txt'] 353 | most ['austen-emma.txt'] 354 | Cob ['shakespeare-caesar.txt'] 355 | IN ['chesterton-ball.txt'] 356 | Testament ['bible-kjv.txt'] 357 | died ['austen-emma.txt'] 358 | ago ['austen-emma.txt'] 359 | Restore ['milton-paradise.txt'] 360 | thy ['milton-paradise.txt', 'shakespeare-caesar.txt', 'blake-poems.txt'] 361 | light ['bible-kjv.txt'] 362 | no ['milton-paradise.txt', 'chesterton-ball.txt'] 363 | together ['chesterton-thursday.txt'] 364 | Yet ['whitman-leaves.txt'] 365 | drone ['chesterton-thursday.txt'] 366 | resuming ['whitman-leaves.txt'] 367 | reed ['blake-poems.txt'] 368 | the ['milton-paradise.txt', 'bible-kjv.txt', 'chesterton-ball.txt', 'chesterton-thursday.txt', 'edgeworth-parents.txt', 'austen-emma.txt', 'whitman-leaves.txt', 'blake-poems.txt', 'melville-moby_dick.txt', 'shakespeare-caesar.txt'] 369 | That ['chesterton-ball.txt', 'milton-paradise.txt', 'whitman-leaves.txt'] 370 | came ['chesterton-thursday.txt'] 371 | once ['edgeworth-parents.txt'] 372 | 1789 ['blake-poems.txt'] 373 | Edgeworth ['edgeworth-parents.txt'] 374 | young ['chesterton-thursday.txt'] 375 | Whistler ['chesterton-thursday.txt'] 376 | Tragedie ['shakespeare-caesar.txt'] 377 | Heavenly ['milton-paradise.txt'] 378 | existence ['austen-emma.txt'] 379 | dost ['shakespeare-caesar.txt'] 380 | group ['whitman-leaves.txt'] 381 | chosen ['milton-paradise.txt'] 382 | plume ['chesterton-thursday.txt'] 383 | youngest ['austen-emma.txt'] 384 | Actus ['shakespeare-caesar.txt'] 385 | should ['whitman-leaves.txt'] 386 | to ['edgeworth-parents.txt', 'austen-emma.txt', 'chesterton-ball.txt', 'milton-paradise.txt', 'melville-moby_dick.txt', 'whitman-leaves.txt', 'blake-poems.txt'] 387 | book ['blake-poems.txt'] 388 | 4 ['bible-kjv.txt'] 389 | rich ['austen-emma.txt'] 390 | Grammar ['melville-moby_dick.txt'] 391 | read ['blake-poems.txt'] 392 | Primus ['shakespeare-caesar.txt'] 393 | Oreb ['milton-paradise.txt'] 394 | know ['shakespeare-caesar.txt'] 395 | not ['shakespeare-caesar.txt', 'edgeworth-parents.txt'] 396 | world ['melville-moby_dick.txt', 'chesterton-thursday.txt', 'austen-emma.txt'] 397 | Grass ['whitman-leaves.txt'] 398 | Where ['shakespeare-caesar.txt'] 399 | gloom ['chesterton-thursday.txt'] 400 | name ['whitman-leaves.txt'] 401 | ended ['chesterton-thursday.txt'] 402 | Why ['shakespeare-caesar.txt'] 403 | overworked ['edgeworth-parents.txt'] 404 | 1667 ['milton-paradise.txt'] 405 | set ['whitman-leaves.txt'] 406 | art ['shakespeare-caesar.txt', 'chesterton-thursday.txt'] 407 | somehow ['melville-moby_dick.txt'] 408 | see ['melville-moby_dick.txt'] 409 | taught ['milton-paradise.txt'] 410 | are ['shakespeare-caesar.txt', 'whitman-leaves.txt'] 411 | earth ['chesterton-ball.txt', 'milton-paradise.txt', 'bible-kjv.txt'] 412 | Jane ['austen-emma.txt'] 413 | our ['milton-paradise.txt', 'chesterton-thursday.txt'] 414 | emptiness ['chesterton-ball.txt'] 415 | said ['bible-kjv.txt', 'blake-poems.txt', 'whitman-leaves.txt'] 416 | darkness ['bible-kjv.txt'] 417 | for ['whitman-leaves.txt', 'chesterton-ball.txt', 'austen-emma.txt'] 418 | 1851 ['melville-moby_dick.txt'] 419 | regain ['milton-paradise.txt'] 420 | Commoners ['shakespeare-caesar.txt'] 421 | Professor ['chesterton-ball.txt'] 422 | INNOCENCE ['blake-poems.txt'] 423 | pleasant ['blake-poems.txt'] 424 | small ['edgeworth-parents.txt'] 425 | disposition ['austen-emma.txt'] 426 | beginning ['bible-kjv.txt', 'milton-paradise.txt'] 427 | water ['blake-poems.txt'] 428 | daughter ['edgeworth-parents.txt'] 429 | Yea ['chesterton-thursday.txt'] 430 | place ['austen-emma.txt'] 431 | mortal ['milton-paradise.txt'] 432 | expression ['chesterton-ball.txt'] 433 | first ['milton-paradise.txt', 'bible-kjv.txt', 'whitman-leaves.txt'] 434 | !" ['blake-poems.txt'] 435 | distress ['austen-emma.txt'] 436 | Her ['austen-emma.txt'] 437 | heart ['melville-moby_dick.txt'] 438 | simple ['whitman-leaves.txt'] 439 | into ['milton-paradise.txt'] 440 | one ['milton-paradise.txt', 'austen-emma.txt', 'whitman-leaves.txt'] 441 | valleys ['blake-poems.txt'] 442 | remembrance ['austen-emma.txt'] 443 | Holiday ['shakespeare-caesar.txt'] 444 | Ever ['whitman-leaves.txt'] 445 | Apron ['shakespeare-caesar.txt'] 446 | Assistant ['edgeworth-parents.txt'] 447 | long ['edgeworth-parents.txt', 'austen-emma.txt', 'whitman-leaves.txt'] 448 | stars ['chesterton-ball.txt'] 449 | feather ['chesterton-thursday.txt'] 450 | lived ['edgeworth-parents.txt', 'austen-emma.txt'] 451 | Moby ['melville-moby_dick.txt'] 452 | antic ['chesterton-thursday.txt'] 453 | excellent ['austen-emma.txt'] 454 | known ['melville-moby_dick.txt'] 455 | than ['austen-emma.txt'] 456 | made ['blake-poems.txt'] 457 | Old ['bible-kjv.txt'] 458 | showed ['chesterton-thursday.txt'] 459 | tree ['milton-paradise.txt'] 460 | twenty ['austen-emma.txt'] 461 | us ['milton-paradise.txt', 'chesterton-thursday.txt', 'whitman-leaves.txt'] 462 | nations ['melville-moby_dick.txt'] 463 | while ['milton-paradise.txt'] 464 | lexicons ['melville-moby_dick.txt'] 465 | wild ['blake-poems.txt'] 466 | aid ['milton-paradise.txt'] 467 | indistinct ['austen-emma.txt'] 468 | Creatures ['shakespeare-caesar.txt'] 469 | and ['edgeworth-parents.txt', 'chesterton-ball.txt', 'austen-emma.txt', 'bible-kjv.txt', 'chesterton-thursday.txt', 'milton-paradise.txt', 'whitman-leaves.txt', 'blake-poems.txt', 'shakespeare-caesar.txt', 'melville-moby_dick.txt'] 470 | Sir ['shakespeare-caesar.txt'] 471 | give ['edgeworth-parents.txt'] 472 | God ['milton-paradise.txt', 'bible-kjv.txt'] 473 | Piper ['blake-poems.txt'] 474 | Cross ['chesterton-ball.txt'] 475 | an ['austen-emma.txt'] 476 | as ['austen-emma.txt', 'edgeworth-parents.txt', 'chesterton-thursday.txt', 'whitman-leaves.txt', 'shakespeare-caesar.txt'] 477 | seed ['milton-paradise.txt'] 478 | Edmund ['chesterton-thursday.txt'] 479 | You ['shakespeare-caesar.txt'] 480 | if ['milton-paradise.txt'] 481 | walke ['shakespeare-caesar.txt'] 482 | again ['blake-poems.txt'] 483 | Invoke ['milton-paradise.txt'] 484 | Who ['chesterton-thursday.txt'] 485 | same ['blake-poems.txt'] 486 | till ['milton-paradise.txt'] 487 | Truely ['shakespeare-caesar.txt'] 488 | With ['milton-paradise.txt'] 489 | Spirit ['bible-kjv.txt'] 490 | daughters ['austen-emma.txt'] 491 | soar ['milton-paradise.txt'] 492 | thee ['milton-paradise.txt', 'blake-poems.txt'] 493 | may ['blake-poems.txt', 'shakespeare-caesar.txt', 'whitman-leaves.txt'] 494 | Piping ['blake-poems.txt'] 495 | trees ['whitman-leaves.txt'] 496 | a ['blake-poems.txt', 'shakespeare-caesar.txt', 'melville-moby_dick.txt', 'whitman-leaves.txt', 'edgeworth-parents.txt', 'chesterton-ball.txt', 'austen-emma.txt', 'chesterton-thursday.txt'] 497 | professor ['chesterton-ball.txt'] 498 | mother ['austen-emma.txt'] 499 | oracle ['milton-paradise.txt'] 500 | all ['milton-paradise.txt', 'blake-poems.txt', 'melville-moby_dick.txt'] 501 | Rossmore ['edgeworth-parents.txt'] 502 | wailing ['chesterton-thursday.txt'] 503 | eldest ['edgeworth-parents.txt'] 504 | Supplied ['melville-moby_dick.txt'] 505 | years ['austen-emma.txt'] 506 | verses ['whitman-leaves.txt'] 507 | Caesar ['shakespeare-caesar.txt'] 508 | through ['chesterton-ball.txt'] 509 | fine ['shakespeare-caesar.txt'] 510 | yet ['milton-paradise.txt', 'whitman-leaves.txt'] 511 | vices ['chesterton-thursday.txt'] 512 | Body ['whitman-leaves.txt'] 513 | death ['milton-paradise.txt', 'chesterton-thursday.txt'] 514 | decay ['chesterton-thursday.txt'] 515 | DISCUSSION ['chesterton-ball.txt'] 516 | glee ['blake-poems.txt'] 517 | day ['bible-kjv.txt', 'shakespeare-caesar.txt'] 518 | smile ['whitman-leaves.txt'] 519 | stain ['blake-poems.txt'] 520 | hope ['shakespeare-caesar.txt'] 521 | Whitman ['whitman-leaves.txt'] 522 | far ['chesterton-ball.txt'] 523 | Car ['shakespeare-caesar.txt'] 524 | Pipe ['blake-poems.txt'] 525 | Murellus ['shakespeare-caesar.txt'] 526 | She ['austen-emma.txt'] 527 | him ['melville-moby_dick.txt'] 528 | heaven ['bible-kjv.txt'] 529 | weather ['chesterton-thursday.txt'] 530 | pleas ['whitman-leaves.txt'] 531 | Mur ['shakespeare-caesar.txt'] 532 | house ['austen-emma.txt'] 533 | proudly ['chesterton-thursday.txt'] 534 | Fast ['milton-paradise.txt'] 535 | ouer ['shakespeare-caesar.txt'] 536 | sight ['blake-poems.txt'] 537 | pale ['melville-moby_dick.txt'] 538 | Men ['chesterton-thursday.txt'] 539 | I ['whitman-leaves.txt', 'shakespeare-caesar.txt', 'blake-poems.txt', 'melville-moby_dick.txt', 'chesterton-ball.txt', 'milton-paradise.txt', 'austen-emma.txt', 'chesterton-thursday.txt'] 540 | pen ['blake-poems.txt'] 541 | Let ['bible-kjv.txt'] 542 | flowed ['milton-paradise.txt'] 543 | ? ['shakespeare-caesar.txt'] 544 | He ['melville-moby_dick.txt'] 545 | King ['bible-kjv.txt'] 546 | School ['melville-moby_dick.txt'] 547 | Bible ['bible-kjv.txt'] 548 | disobedience ['milton-paradise.txt'] 549 | joy ['blake-poems.txt'] 550 | pluck ['blake-poems.txt'] 551 | ;" ['blake-poems.txt'] 552 | sing ['whitman-leaves.txt'] 553 | wept ['blake-poems.txt'] 554 | sister ['austen-emma.txt'] 555 | created ['bible-kjv.txt'] 556 | thou ['shakespeare-caesar.txt'] 557 | of ['austen-emma.txt', 'milton-paradise.txt', 'bible-kjv.txt', 'chesterton-thursday.txt', 'chesterton-ball.txt', 'edgeworth-parents.txt', 'whitman-leaves.txt', 'melville-moby_dick.txt', 'shakespeare-caesar.txt', 'blake-poems.txt'] 558 | mildly ['melville-moby_dick.txt'] 559 | castle ['edgeworth-parents.txt'] 560 | fallen ['austen-emma.txt'] 561 | silver ['chesterton-ball.txt'] 562 | Things ['milton-paradise.txt'] 563 | Speake ['shakespeare-caesar.txt'] 564 | hollow ['blake-poems.txt'] 565 | Hence ['shakespeare-caesar.txt'] 566 | Scoena ['shakespeare-caesar.txt'] 567 | your ['shakespeare-caesar.txt'] 568 | Chesterton ['chesterton-thursday.txt', 'chesterton-ball.txt'] 569 | secret ['milton-paradise.txt'] 570 | Every ['blake-poems.txt'] 571 | too ['austen-emma.txt'] 572 | Such ['whitman-leaves.txt'] 573 | : ['bible-kjv.txt', 'milton-paradise.txt', 'chesterton-thursday.txt', 'blake-poems.txt', 'shakespeare-caesar.txt'] 574 | Come ['whitman-leaves.txt'] 575 | himself ['chesterton-ball.txt'] 576 | that ['shakespeare-caesar.txt', 'blake-poems.txt', 'chesterton-thursday.txt', 'milton-paradise.txt', 'edgeworth-parents.txt', 'bible-kjv.txt'] 577 | Rule ['shakespeare-caesar.txt'] 578 | loved ['melville-moby_dick.txt'] 579 | mount ['milton-paradise.txt'] 580 | say ['shakespeare-caesar.txt'] 581 | Walt ['whitman-leaves.txt'] 582 | skies ['chesterton-ball.txt'] 583 | threadbare ['melville-moby_dick.txt'] 584 | grammars ['melville-moby_dick.txt'] 585 | mates ['whitman-leaves.txt'] 586 | at ['edgeworth-parents.txt'] 587 | Above ['milton-paradise.txt'] 588 | prose ['milton-paradise.txt'] 589 | vanish ['blake-poems.txt'] 590 | Or ['whitman-leaves.txt'] 591 | greater ['milton-paradise.txt'] 592 | 1816 ['austen-emma.txt'] 593 | clever ['austen-emma.txt'] 594 | machine ['chesterton-ball.txt'] 595 | chants ['whitman-leaves.txt'] 596 | 5 ['bible-kjv.txt'] 597 | embellished ['melville-moby_dick.txt'] 598 | wheel ['edgeworth-parents.txt'] 599 | used ['edgeworth-parents.txt'] 600 | Lost ['milton-paradise.txt'] 601 | Julius ['shakespeare-caesar.txt'] 602 | dust ['melville-moby_dick.txt'] 603 | ] ['melville-moby_dick.txt', 'blake-poems.txt', 'whitman-leaves.txt', 'shakespeare-caesar.txt', 'austen-emma.txt', 'chesterton-thursday.txt', 'edgeworth-parents.txt', 'milton-paradise.txt', 'bible-kjv.txt', 'chesterton-ball.txt'] 604 | Called ['bible-kjv.txt'] 605 | Melville ['melville-moby_dick.txt'] 606 | aimless ['chesterton-thursday.txt'] 607 | coat ['melville-moby_dick.txt'] 608 | Is ['shakespeare-caesar.txt'] 609 | Brought ['milton-paradise.txt'] 610 | In ['milton-paradise.txt', 'bible-kjv.txt', 'blake-poems.txt'] 611 | nearly ['chesterton-ball.txt', 'austen-emma.txt'] 612 | -------------------------------------------------------------------------------- /problem5/python/result.json: -------------------------------------------------------------------------------- 1 | ACAAGCCCACAACAACTACCACCAGGTTACAGGTTGGCTGGCTCAACCTCAGAGTGGTGCTCCCAACTGCTGTGAAATACAACTAAAAAGACCTCAACCTAAACCACAACCACACTGAAAAATGGCAAGATATAGAAGACGCAGCAGGAGCCGGAGTAGGAGCAGATATGGACGCCGAAGGAGACGCAGCCGTAGTAGGAGGAGGAGAAGCAGGAGGAGAAGAAGAAGGAGAGGAAGGAGAGGCAGAGGTAATTACTGTCGGAGGAGAAGATAATAATCATGTGCCCCAACCTTAAAGGTCATTCAGTAATGGAGGCCCCCTAGAGTCTTAGAACTAGGGATCTCTTTAAACCTTCATTATTCCTCTTTTCTTAGGGTACCACAGGAGATCTCCTCATCGTCGTCGTAGGAGAAGAAGAAGATAACTTAAGACAGCAAATAGCAAAACTCCATCTGAACTCCTGCTTGAGAATTTTACCAAATTCATCTGGATCTTCTGACCATCACGAAACAGCAAATCATTTCCATGGAGATGCACACTTATGGTGACTGCCACAAGACAACAGGAGCCTGCTACTGAACAATGCCGACCTGTCAATAAATTCTGAAAATTC 2 | AAGAACAACCTTCACTTTAATATTATTGATAACATTTAGTTTCTGGATATCAAGTGGGCTCCTACTAGATCATGCCAGGTCACCAAATACCAGTTTAATCAAGGAAGGAAGAAAGAAAAGGAACAGTAAATAAAAAGAGTGACAAGTACTAAGAATTGCAAAAAGGACATCCCAAGGTGTTTGGACCAAAGAAGCGGCCTTGGGGCCTCTCAGTACTCATACTGGGCCCCAAGAGACCATGGCCATTGCTCTGAAATACGGTAACCCGGCAGGTTTTTCTTCCTTGTCATCAGGGGTCCCAGGCATCTTGAGCTTCATGTGGGGTGTCTCTGACACAAGCAGGGCTAGAACCTTGAGGCAGAAGCTCGAAGCCATGGAGAAGTGCAGCTTACTGGCTTGTTCATCATGGCTTGCTCAGCCTGCTGTCTTGTAGAACTCAAGACCAAGGCCCAGGGGTGGCACCACTCACAATGGGTTGGGCTCTCCCCCATCAAAACCACTAAATAAGAAATGCCCTACAACCGGATCTTATGGAGGCATTTTCTCAATTGAGGCTTTCTTCTTTCAAGTTGACAGAAAACTAAGCAGGACACTTCCCCACCCTTCTCCCCACTGGATGAGCGGAGCTGCCCTGCACTGGGTGAATGAGGACATTACTGACCGCTCCTTCCTGGGGTTTGGCTCCTGCTCTCACGGCAGACACTGAAAATCACAGGCTATGCGAGTTGGAGCCAGTTTGTCCCAAACCGATTTTAGATCTCTGTACCCTCTCTAGGCTATGCTCTAAGGAGCTCGTCTCTAGGGCCAGCCAGTGCTCCAGCTGAGGCTGAGAGAGATGGCACACAGTAGGGGTGCTGGAGCAGCTCCGGGAAGAGGTCTGGGGCCATGTCAGGACCCGGCAGCCTCTGATTGTGTCCTACCCTCCCCTTCCAGCCTTCGCCCCGGCAGCTGCAGTCACCAACCACAGCATCCTTTGGGTTTGACCTATTGCGCACATGACCCCCAATTAGTCCTGGCAGCATCTCCTGCCCCTCCTGCTTACATTAGGGGCTCAGGCAGTGGATATAAAAGGTATTGCAGAACAGACAAGTCCCACACAGCAACTCGGTGCAGACCTAGCAGACACCATGAGGACCCTCTCTCTGCTCACTCTGCTGGCCCTGACTGCATTCTGCCTCTCTGACCTGGCAGGTATGTGCCCTCCTGGTTCATTTCTTTGGATAGCCACCCTCCTGAAGGTCTCGGGATCTGCTTTGGGATGGCAGAAGGGAAGGGACAAACTACCAGAGAGACAGACAGCAGGGAGGGAACAGAACTAACTGCACTGTTTTCTTTACAGGTGCAAAGCCCAGCGACTCTGAGTCTGACAAAGGTACTGACAGGGAGCCTGGCAGAACCTCAGCCTTGCCCCTCACCCTGTCCCCTAAGCCCCCAGACCCCTCTGCCTTCTGTCTGGGTGTCCCCACTTTCCCTCCCAAACCCAGAATTACCTGATCCTGTGCCTCTGTTCCACAGCCTTCATGTCCAAGCAGGAGGGCAGTAAGGTGGTGAATAGACTCCGGCGCTACCTCAACAATGGACTTGGGTGAGTGGGGAGGAGGCGCTGGGCCAGGGCCTTTGCTTTCCATATTGGTAGGGAGGAGTTGTGCTGGGTGGTCTCTATGAACTGCCGAGGGTCCCATGCCTAGGACCCTGGAGCCTCTTGTGCAGTGGGAAGAGTGTGTGTATACCCCGTGTTGGTTAATGCCACTGCGTATTGGTTGACGCTACTATATGCTTCTCAGAGCCCCAGCCCCCTACCCAGATCCCCTGGAGCCTCACAGGGAGGTGTGTGAGCTCAACCCCAATTGTGACGAGCTAGCGGACCACATTGGCTTCCAGGACGCCTACAAGCGCATCTATGGCACCACCGTTTAGGGCATGTGTTGCCCTGGAGCCCAACGGCAGCTTCAGCTTTGGCTACTCTCCAGGACTCGACCCTCCCTGTTCCCTCTCTCTGCCTCGAAAGTATGGACGGCACAGCTGCTCCAAAATAAAGTCCAGATGAGGAACGGTTGGGCTCGAGTCTGTCCATTGTGGTGGTGGTAGGGGTTGGAGAAGGCTTCATGTTCAATCCC 3 | CTGCAGCCACCCCCTGCTGCCCCCACCTGAACCCTTGATCCCAGCTCGGCAGCCCCCGCAGTTTCCTGTTTGCCCACTCTCTTTGCCCAGCCTCAGGAACAGAGCTGATCCTTGAACTCTAAGTTCCACATCGCCAGCAAAAGTAAGCAGTGGCAGGGCCAGGCTGAGCTTATCAGTCTCCCAAGTCCCCAGCCCCTGCCCACACACATATATAGACCAGGGAAGAAGAGCTGGACACCCAGACTGTCGGAGAGCTCCGGGGAGGTAAGTGCTGCTACCTGCCTTCGGTGGCTCTGGCTCCATAGCGCCTCCCAGTTGATGCTCCACTGTCCAAAGTCCAAATCAATACCGTTGGATATCTCGCACCTTTAGCCATTCTAGCCAATGCTTCCATGGGCTTGAATTGTGTGTGGAGCCTTTCCATGACAATGCCTCCCTTCAGCCCAGCCCTCCTCCTCCTTCTTCTTCTTCAGGTCACCCACACCCTTCAGGATGAAAGCTGTGGTGCTGGCCGTGGCTCTGGTCTTCCTGACAGGTAGGTGCCTCTTGACCTGCGTGGGACTACCTTCCTGGGCACAGAGAACAGAATTCCCACTGTTCTCTTCCCTGACTCCGAGTCTAACCTAACATGGGTCTCCCCTCCATCCCCAGGGAGCCAGGCTTGGCACGTATGGCAGCAAGATGAACCCCAGTCCCAATGGGACAAAGTGAAGGATTTCGCTAATGTGTATGTGGATGCGGTCAAAGACAGCGGCAGAGACTATGTGTCCCAGTTTGAATCCTCCTCCTTGGGCCAACAGCTGAAGTAAGGAAAGACCTAGCGTGGGGCCTGGAGCAGGTCAAGGGCTGCCCATCCAGGGTGGGCAGAGAGACCAGTGAGAAGATGCTGGAACTGAGCTGGCTAGCCCTTCACGGGCTTTCCTACCAGCTGGGCACCATGGCAGGTTCCAGTGGAGGACTAGGGATGGGATTCATCTGGCTGTTGGGTAACCACAGCCCCTCATTCAGCCTATGAGTGCCAAATCCCTTTTCCTTGGTAACCCCCAGTACTGGTCAGACAGCACCCAAAACAAAACAAAACAAAACAAAAAACAAAAAACGGGACTGGCCTTGTAACCAGCACCGACCACATCTGTGTTCTTGGTGCCTTCCGCCATGTGTACAGAGGAATGTAAAGGGAAGGCAGTGAGTTAGAGGGTTGCATGTTCGGGGAAACTAGGACCATAGCAACTGCACATTAGGGGACAGGTGGCACCCAGCTATCATGTGCATGGATCTGCAGACCAGGGGCAGCGCATGATGCCTGGGCTCGTCTCTCAGCCGCTCTCTTCCCCCTCTAGCCTGAATCTCCTGGAAAACTGGGACACTCTGGGTTCAACCGTTAGTCAGCTGCAGGAACGGCTGGGCCCATTGACTCGGGACTTCTGGGATAACCTGGAGAAAGAAACAGATTGGGTGAGACAGGAGATGAACAAGGACCTAGAGGAAGTGAAACAGAAGGTGCAGCCCTACCTGGACGAATTCCAGAAGAAATGGAAAGAGGATGTGGAGCTCTACCGCCAGAAGGTGGCGCCTCTGGGCGCCGAGCTGCAGGAGAGCGCGCGCCAGAAGCTGCAGGAGCTGCAAGGGAGACTGTCCCCTGTGGCTGAGGAATTTCGCGACCGCATGCGCACACACGTAGACTCTCTGCGCACACAGCTAGCGCCCCACAGCGAACAGATGCGCGAGAGCCTGGCCCAGCGCCTGGCTGAGCTCAAGAGCAACCCTACCTTGAACGAGTACCACACCAGGGCCAAAACCCACCTGAAGACACTTGGCGAGAAAGCCAGACCTGCGCTGGAGGACCTGCGCCATAGTCTGATGCCCATGCTGGAGACGCTTAAGACCAAAGCCCAGAGTGTGATCGACAAGGCCAGCGAGACTCTGACTGCCCAGTGAGGTGCCCGCTTCCACTCCCCACCCCCGCATTGGCTTTCTTACAATAAACCTTTCCAAAATGGAATAGCTTCTTTCTTTGGGGGACATAGGGCGGGCGCTAAGGGGACATCAAGGGACGTGAGAACATGGTGCCGCACTGGGGATTCCTTTGTACGCGACATCTCAGCTCTTAACGCTCACTCAAGCTGGGCACCTGGCTGGTTCAGGGTATGAGACAGAATCCTTCTA 4 | ATGGTCCGATACTGTGTGAGGAGCCTGAGCGAACGCTCGCACGAGGTGTACGGGCAGCAGTTGCATGGGCAAGAGCAAGGACACCATGACCAAGAGGAGCAAGGACTGAGCCCGGAGCAGGTCGAGGTCTACGAGAGGACCCAGGGCCATTCTCACTATAGACGCAGGCACTGCTCTCGAAGGAGGCTGCACCGGATCCACAGACAGCAGCATCGCTCCTGCAAAAGGCGCAGAAGACACTCCTGTAGGCACCGGAGGAAGCATCGCAGAGGTCTGCCTGCGCCCCCGCCTTGCCCTGCATGTCCCTGACCACCCCAGGCACAGGAGGGAGGCGGGGACCCACCCCACCTGACAAAGGCTCCAGCCTCCCAACCCCCGTCCCCACCCAGAGTCTCTAAGTGCCCCCCTCAACCAGAACTTTCTTTCCCAAAAGGCTGCAGAACCAGGAGGAGAACATGCAGAAGGCACTAAGCTTCCTGGGCCCCTCACCCCCAGCTGGAAATTAAGAAAAAGTCGCCCGAAACACCAAGTGAGGCCATAGCAATTCCCCTACATCAAATGCTCAAGACCCCAGCTGGAAGTTAAGAGGAAGTCACCTGCCCAGGAAACACCGAGTGAGGCCATAGCAACTCCCCTACATCAAATGCTCAAGCCCTGAGTTGCCGCGAGAAGCCCACAAGATCTGA 5 | GGGGTGGCTACCCAGAGGCATGCTCCTCACCCAGCTCCACTGTCCCTACCTGCTGCTGCTGCTGGTGGTGCTGTCATGTCTGGTGAGTGCCGTGCACCCCACAGCACCTGCATGGAGGAGGGTTGGCTGCTCTGTACACAAGTGCTGAGAGCTCTCTGGTTGCTTGCCTACCTGTTTCCCAGCCAAAGGCACCCTCTGCCCAGGTAATGGACTTTTTGTTTGAGAAGTGGAAGCTCTATAGTGACCAGTGCCACCACAACCTAAGCCTGCTGCCCCCACCTACTGGTGAGTCCCACCAAAGACTCCTGTGTCCTGACACCCCGCCTGGAGGTACACTCAGAGACCTTATGGGGATGTAATAGTAATGGCTGCTTTATAATGCCCAGCCACTTGCCCCCAGTTACAGACTGACCTCCAGAGGCAGTGGCTTCCCTAAGGCTGTATGGTCAGGAAACAGTAGAAATGCAGAACTGCCTCAGGGCTGCCCTCATCCCCAGCCAGCTGATGTCTGCTGTCACCGCTCACACTGGGCAGACAGTGAATAGGGACAGGGCAGGGCAGAGAGACTGGGTCTTCCCAGTCTCAGTTGAGGGGGATGAGTGCCTGGGAGGGAGGGAGAAGGATGAGGGAGCTATGCTACGGCTGGGCCTGGAAAAGGTGCCAGCCAAACTGGAGTCTGACATCTGACAAGGAATGTATTACCAGGCAGGAGGGGCCAGTGAGATGGCTCAGCAGATAATGGCCCTTTCCTCTGGGACTCAGTGAAAATGGATAATGATCCTTGCAAGTTGTCCTATGATCCTGTATGCTGGTATACACACTTGTATGCTTCTGAGTGCATGCACATGTGCGCGCGCGCGCACGCGCGCACACACACACACACACACACTAAATAAATGAACAGATAAATGTAAAAAGCTTTTTACAAATTTTTATAAAAGATACATAGAGGAAAGACACAAAATGGGGTCTGTGCACATTTGGGATGGGATATCTTGGGCAAACACCAATGTTGCTGGGCTGGAGAGGGTAGTCATGGAGTCTAGAAGGCAAGATAACCAGCCGGGGATGCCCCTTGTGGCCCACATCACGGAGGCAGCCCCTATAGATGCAGGTTCAGAGAAGTGGTGTTGATACTCAGGGGGCTTCTGGTCCCACCCCCATCCTCCTTCACCTTTACAGAGCTGGTCTGCAACAGAACTTTCGACAAGTACTCCTGCTGGCCTGACACCCCTCCCAACACCACTGCCAACATTTCCTGCCCCTGGTACCTACCTTGGTACCACAAAGGTAACGGGGTAGTGAGTGCCTGGGAGGCTGAGGGTGCAAAGTCTGGGAGTGGGCTGACCAGAGCTTACACCCATGTCCCAGTGCAGCACCGCCTAGTGTTCAAGAGGTGTGGGCCTGATGGGCAGTGGGTTCGAGGGCCACGGGGGCAGTCATGGCGCGACGCCTCCCAATGTCAGATGGATGATGACGAGATCGAGGTCCAGGTCAGCTCTGAAGGGTGTGGGGTGGTGTTGCCATGGGGTTGCGTGGGGCCAGGGGATATGGTACTGCCCAGCCCCACTCCACCTCTGGTTTGCAGAAGGGGGTAGCCAAGATGTATAGCAGCTACCAGGTGATGTACACTGTGGGCTACAGTCTGTCCCTGGGGGCCTTGCTCCTGGCGCTGGTCATCCTGCTGGGCCTCAGGTACACTGCTGTTGCTCCTAGCTAATACCCAGTGTGGTGAGGGGGGCAGAGGGACGGGGCAGGAGTGGTGCTGAGACATCGTCATATAGGAAGCTGCACTGCACCCGGAACTACATCCACGGGAACCTGTTCGCGTCCTTCGTGCTCAAGGCTGGCTCTGTGCTGGTCATTGATTGGCTGCTCAAGACACGCTATAGCCAGAAGATTGGAGATGACCTCAGTGTGAGCGTCTGGCTCAGTGATGGGGTGAGCCCAGATCTAACTGCTCCCTAGCCTGTGTAGGGCGGCGGGCAGGGTGTCGTGGGCTCCACTCATGCCTCACCTTGCTCAGGCGGTGGCTGGCTGCAGAGTGGCCACAGTGATCATGCAGTACGGCATCATAGCCAACTACTGCTGGTTGCTGGTGGAGGGTGTGTACCTGTACAGCCTGCTGAGCATCACCACCTTCTCGGAGAAGAGCTTCTTCTCCCTCTATCTGTGCATCGGCTGGGGTGAGTAGGCTTGTGGGGGATAGGGAAGGAAGCTAACAGGGCCGTGGGATAACAACTGCTGCTTCCCACAGGATCTCCCCTGCTGTTTGTCATCCCCTGGGTGGTGGTCAAGTGTCTGTTTGAGAATGTCCAGTGAGTATGAGCTAATAGGGTGGGCTGGTTGATGCTGGTCTTTGTAAAGTGACCCTGGGGACAGGGGCAGGAGGTGAGGCTAGAAGTGTGAATCCAGTGTCTGGACCTGGGGTTCAGTGAAGACTCTGTCCTTTCCTTTCCAGAGGCACTCAGTAAATCCCAGCAGATAGGGAGGGGCAAGGAACAGAGAGCTGCATCCCCACTAAGTGAGCAACTGGTCCCTGCAGGTGCTGGACCAGCAATGACAATATGGGATTCTGGTGGATCCTGCGTATCCCTGTACTCCTGGCCATACTGGTGAGGAAACAAAGCCCCTGCTGCCATCAGCAAGGAAAGGGTCACTGGTCTGGCTCCCCCAGGTCCTTCCTTCATCAGCCTTCTGAGGCTAAGGGAAGAATACATTCTACCCAACGGATGGAGGGTGGGCAATTCCAGCACTCACTCAAGAAGCTGTAATACGCTGCCAGCCCAGCCGTGTGCCCAGGGCTCACCTGGCAGCAGCCTTGCTTGTAGCAGGGACATCTGAGGGCCATGTAGGACACAGGAAGTTCTCGGGCTGCCCTTGATGTTTGTCTTCCTCACACAGATCAATTTTTTCATCTTTGTCCGCATCATTCATCTTCTTGTGGCCAAGCTGCGTGCCCATCAGATGCACTATGCTGATTACAAGTTCCGGTGGGCAGGGGCCAGGGCCAGGGTCCAGACTGGAGAGGGATGAGGTTGGGGGTCAATGTCTTTGTGGGGGAAAGCCCAGAAGATTTTGCAGAGTTCTCAAGCTCTGCCCCTGCAGGCTAGCCAGGTCCACGCTGACCCTCATTCCTCTGCTGGGAGTCCACGAAGTGGTCTTTGCCTTTGTGACTGATGAGCATGCCCAGGGCACCCTGCGCTCCACCAAGCTCTTTTTTGACCTGTTCTTCAGCTCCTTCCAGGGTCTGCTGGTGGCTGTTCTCTACTGTTTCCTCAACAAGGAGGTAGGTGAAGCTGGGAACACAATCAGAGCTGGCCATGAGGATGGCTTGCCCTGGTCTGACCATACCTTCATCCCCATTATTACAGTTGCATGCGTCGGACGTCAGGTCCCCTAGGTCCTCAGGGAGCAGGGTTATGAGATGGTCCCCGCCTTTCCTGGTGACAAGTGGGCCCTGCTGAACCCAATGTAAAACTTGCCTTGCTTTGGGTCTGCTTAGATTGAGGCTAGGCACCTCAGAGTGGCCCAGTCAGGATCCTAACGAGGTGGGTTGGTCAGAGAGGCCCTACCCCTGGCTCCTCTAGGTGCAGGCAGAGCTACTGCGGCGTTGGAGGCGATGGCAAGAAGGCAAAGCTCTTCAGGAGGAAAGGATGGCCAGCAGCCATGGCAGCCACATGGCCCCAGCAGGGACTTGTCATGGTGATCCCTGTGAGAAACTTCAGCTTATGAGTGCAGGCAGCAGCAGTGGGACTGGCTGTGAGCCCTCTGCGAAGACCTCATTGGCCAGTAGTCTCCCAAGGCTGGCTGACAGCCCCACCTGAATCTCCACTGGACTCCAGCCAAGTTGGATTCAGAAGGGCCTCACAAGACAA 6 | AAGCTTTTAATTTCACATCACTATCTGTAACTTCACAACAACAGACAATTGACTTCAAACCAACAACTTCATATTCCATTACTTTGAGCTTACTTAGGCATCAGCTCCCTGCAGTTCCCACCTGCTTGGACTTTGAGAACATCTGTATCATGCTAGCTACTTATGCTGAAACCTTGCTGGAAACGCTGGCTTAAATTTACGTAACTACTAAACCTTGTGATGTGGTGTGGCTCTGTGTCCCCACCCAAATCTCATCTCAAATTGTAATCCTCATAATCCCCATGTGTGGATTGAGGAACCTAGTGGGAGGTGATTGGATCACGGGAGTAGTTTCCCCCATGCTGTTCTCTTGATAGTGAGTGCATTCTCACAAGATCTGATGGTTTTATAAAGGGCTCTTCCCTCTCCACTCTCTCTTGCTCACCTGCCACCATGTAAGACATGCTTTGCTTCCCCTTCGTCTCCATGATTGTAAGTTTCCTGAGGCCTCCCCATCCTCAGGAAAGTCTGTGAGTCAATTAAACTATGAGTCAATTAAACCTCTTTCCTTTTTAAGTTACCCAGTCTCTGGTATTATCTTTATAGCAGTATGAAAAGGACTAATACACCTTGCCTTCTGAAGTAGGTCTTGAGAGGTTCCTGAACCTGAAAGGGAATGGAGAAATGACTTAAAGCCACCAGCTAATTGGGCTTAATCATTTGGACTCAGTTGACTCTTCCCCTACCCCTACCCATGCCTAAACCAAAGAAAGGATCATCCCACATTTACCTAGCACAAAGAAATCTACTCTTCTGCTCTTTCTAGGACTGCTAAAGGCCATGGGAACTGGACACCTGGATGCTGCAGAGGAAGGGCAAAGCTCAACATCAACTTGGACAGTTTGCCAACCTGTTTGTGGTAAGTTGATGTCATTTGTGAACACTCCTAATGTGTGCCAGGAATAAGCTATTCCTGATGCCAGAATCTCTTACTGTCAGTGCCCTCTGTAGGCCTTCTGATCCTTACTCCTTGCTCCACCCATTGTTTATATCATGTAGTTCTCTCTCAGACCCTGATATAAAGCTCCTACTCTGTCTGACCTGACAAGCCACCTCAAGTGGACAAGGCACTTACCAACAGGTAAAGGGGCATTACAGGAGAAGAGCATGTCTAACGTGGGATTTTCTCTTTTCATTTTGAGGTAGATACAGGGTGATTTTCTGAATAAAAGATCCCAGTAGTAATGAAACTTAAGCAAGACCAAAGCTGATTTCGGGTAATTTGGCCTCTGTTATCCCCAAACCAAAAGAGAAATATCTGGGAGTGTAGCTATCTCAGTGGACCTTTCTGCTCACAGGAATTCAGAGAGGAGAGGATGTTAGAAAGATAACAGGTGCTCTGCTCTCTTCTTCAAACCCTCTTCCCTGTGTTCTCCTACAGAGATTGCTGATTTGCTCCTTAAGCAAGAGATTCACTGCCGCTAAGCATGGCTCAGACCAACTCGTTCTTCATGCTGATCTCCTCCCTGATGTTCCTGTCTCTGAGCCAAGGTGAGATTTTCCCCCACACTTCCCACAACCCCAACTCTGAATTCTTCCCTCCATCCTCATGTATAAGGTTCACTTGAAAAAAAGCAGAGTCAACATCAGGGTTTTTTTATGTTGTTCAGTGATCATTATGGCTGATTTTATCCCATTCAAAAACACCCTCACCTCATTCATGGGTTTGAGACAGAATTTAATAGGACCACTTATAGGTGACCATTGTGGTTGAGTTTATCTGATTGAATCTATATGCGATGGCAGTTTGGGGGATGTTTTTATGTAGTCATTGCTAGGATGGAGAGCTAAGGCAAACGTGTGCAGGGAAACCGAGAGAAACTTGAGAAAGGAGGAAGCCTGGGTCTTTAAAGGCAGAAGCCTCAGCCTCAGAATTAAAGGAAAACGAGGACTCATTTATTTAGCCTATTCATTGTGAGCTCTTGTCTTGAGCAAAGGAAACTAGAGAGAAAAGAGATAGGATGCAGGAGGGCAGAAGTGAGCAATCGCCCCAGTATTCACTGTATCCATATGTTCTTATAAAGGACACCAAGAAGCCCCTAATTCACCTTCCAGCCTTTTCCTTGCCCTGAGATTCTTTCTTAATTATCTCCTTTTTTTTTTCCCCAGGCCAGGAGTCCCAGACAGAGCTGCCTAATCCCCGAATCAGCTGCCCAGAAGGCACCAATGCCTATCGCTCCTACTGCTACTACTTTAATGAAGACCCTGAGACCTGGGTTGATGCAGATGTGAGTGAGGAGAGCAGCAGGGGAAGGGAGGCTTATGAAGGTAGAGGCAGCTGCTAATTTGCAGTGTGTTCTGTGGCTGCAATGAGATAAGATTGATCCCTTCCCTATTCCACCACTGGTCCAAAACTTCCCAATCTACTTTATCCCATCATTTGACACATTCCCAGCACAGAGATGCTGGTGGTCAGTGACAGCATCATCAGGGACATTTCTGTGCTGTCCTTTTTCTGTTACATCCTCTGGAAGGTCTCAGTATATCCCTCACACCTTCCTTCTCCACTGAGTGCTCCATTTTCTTCTCCAACAGCTCTATTGCCAGAACATGAATTCAGGCAACCTGGTGTCTGTGCTCACCCAGGCGGAGGGTGCCTTCGTGGCCTCACTGATTAAGGAGAGTAGCACTGATGACAGCAATGTCTGGATTGGCCTCCATGACCCAAAAAAGGTCAGTCTGCAGCCACCTCTATCTCCTTATAAACATTTTTGAGAGGTAAGAGGGACGTTTAAGGTCTGGCACCGCAATCACCAACTTTTATCTTTTTGTTTGTTTAAATAAAAGCAACCTCTTTATAGATCCTATAATGTATGAGTTGTGAAGTTCAGTGTAGGTAGTTAGAGACATGAGCTGAAGGCTGAATTTTCTGGGCTCTGGGAATTCATGCACCCACTCATTGTGTCTACTTCTAGAAATGCATCTTTATGTACAACTTTTTCCCTATTTTGCTATTGTCTGTCTTGGAAGAGGTCCCTCTGTAGACTATATAGAAAATGAGTAGTGGAGGAGAATCTACTGCTGGCATTTGTTATACATTTTATACAAGTGTATAAAACTGTACAGTATATTATTTAGTTTAACACTATAAACTAAATAATATATCAACAACTACTCTACAGCCAATGTTATGCTGGATATGAGAGTTCTGAGATTCAGGAAAAAAATCAGAAACCACTCTCTGTAATGGGCTTTTATGGGTCTCTGTATCAAATTCTGAACACTTATTATTTGCTGGAAGAGGAGGAGGAATTCGGACATTCTAGAGAAGGAGAAGCTTAGAGCAAAAGCAGAGGAAATGATATGATATTCATGGTGACAACAATGTTTATTCTTTCTGCTATAACTTGGCCTGTTTCTGAGTGTGCACACAGGCCTGGTTATTCTATTGATTTTTGAGTGACCATGGCCCCTGTTCTGGCCCTTCTCCATCTAGAACCGCCGCTGGCACTGGAGTAGTGGGTCCCTGGTCTCCTACAAGTCCTGGGACACTGGATCCCCGAGCAGTGCTAATGCTGGCTACTGTGCAAGCCTGACTTCATGCTCAGGTGAGAGGCAGACAATCTATCCACCTGTTGCCATTTCCTTCCCACTTATCTCTGGGGATGAACATGGGGACTGGGATAGAGGAAAGGTAAGCTCCTTATCTGGAAAATAAAGAAGTATTTCCTCTAGTTTTTTGTTCTGAGTCCTAGGTTGAGGAGGGGCTACACTCCTTCTGATCCTCTATGTCTGACACTTCTCATTGTACCATAGGATTCAAGAAATGGAAGGATGAATCTTGTGAGAAGAAGTTCTCCTTTGTTTGCAAGTTCAAAAACTAGAGGAAGCTGAAAAATGGATGTCTAGAACTGGTCCTGCAATTACTATGAAGTCAAAAATTAAACTAGACTATGTCTCCAACTCAGTTCAGACCATCTCCTCCCTAATGAGTTTGCATCGCTGATCTTCAGTACCTTCACCTGTCTCAGTCTCTAGAGCCCTGAAAAATAAAAACAAACTTATTTTTATCCAGTGTTCTGTCTTCTGCATTTGCTCTTTCTACAGCCCATGCTTGGGTGGTTGGGGTGGGAATGATTGTCACACTCCAGAGCTTGCCATGGCCCATCCACTTGTTAAAACCCCACTCACATTTTATGTATGTCAGGCTTATGAACATGTGGTGGCCTTGTTTATGACAAGATAAAAGATTAAGATTTCATCCACAACACATGTTAGCATGAACCTAGTGTGAATTACACAAATAATTAAATTGTTGATCCAGTCTGACTGGAGTATTTAATATTCC 7 | GAGCTTGAAAGTTCCAGAACGCTGCGGTGAGTGCGTTATCGTGAGGCGGCGCGGTGGGGTGGGTGCGGAAGGGGGCGAGGCGAGGAGTGGAGCCGCGTTGTGATTGTGATTGGGTCTTGTAAGGGCAGCCGGACTCTATTGGCCGGGAACCTAATGCAGGAAGCAGGCGGACCCCTTCTGGAAGGTTCTAAGATAGGGTATAAGAGGCAGGGTGGCGGGCGGAAACCGGTGCTCAGTTGAACTGCGCTGCAGCTCTTGGTTTTTTGTGGCTTCCTTCGTTATTGGAGCCAGGCCTACACCCCAGGTAAAACCTCTGCTCAAGAGTTGGGTTGTGGGTCTGGGAGCGTGCAGCCTCCACACAGGCCTGTTGGGCTTGCTGAGGCTTGGGGGTTCTGAGAATCTCGTCGAGGCGAGTGTGCGGCTCCTTCTACCGGCTTAAAGGGCCTCAGTTTTCGGTGGGATGGCAGCGGTATTTGGTTGCAGCCGGCAGACGGAAATGTAGGGAGTGGGCCGCATGGCCCCAGGGGAGGCTGGGAGACGCCCGGCCGCGTGGCGGGGGAGGGTTGCTGCATCGGTTTGCCTGGCGCGCGGGGAAGTGGAGCCAGCGTTTTCTTTCACCCAGTTCCCTGCTTAGTCCAGTCCCACCGTGGTTCTTCAGAGCTGTTCTTGGCGTGCTTCCAGTATGGGGGTACATTCCGGAGTAGTTAAAAGCCCGTTGACTCCCGGGGGGCACTGGCACCTGGCGAGGGAGGGGAACAGACAGTGCTCAGTTCGGGGTAAGACCACGTGTTGAGCAACGCCCCACGCCGTCTGGGTCGATGGGTCCTTCATCTAGGGCGTGCTGTGCTGCGGTTGGCACGGCAACCTGGACTGCAGCACTAGTTCTGGACCTCGCGCGTGCTTAGACAGGAGGTGATGGGCACTATTACCTCTTGGCAGTGGCCATACGTTTTTCCTGGTTAAGTGTTCTGTTAAGGGATGAGGGAAATATTTTGATTAATTGAATTTTTAAACCAGATTTTTCTTTTTTTCAGCAACCATGTCCAAGGGACCTGCAGTTGGTATTGATCTTGGCACCACCTACTCTTGTGTGGGTGTTTTCCAGCACGGAAAAGTCGAGATAATTGCCAATGATCAGGGAAACCGAACCACTCCAAGCTATGTCGCCTTTACGGACACTGAACGGTTGATCGGTGATGCCGCAAAGAATCAAGTTGCAATGAACCCCACCAACACAGTTTTTGGTGAGTTCCTAATTTTAAATGACAGAACAAATATAAACAGGGCTAGGAAGCACAAAAGTTTATGAAACGTGAGGAGGGAACTTTTTGATTTTAGAAAAACTGAGCTGAGAGACTTGTTATCAAGTCTGTTATAAAACAGGTTGTAGAAACCTTTCAGGCTGAAATCTGGATAACGTAGGAGGTTGAAGTTTGAACCTTTGCTAGGTATATGGTAGTTGAATTCACCTACCTATGAACTGTTAGGTATTTGAGTAATCATGGACTTGAGTTTTATCTGAAGAGCTATGAAATTGAAAGTGTTTTCATTTGACACCTTTTACAGATGCCAAACGTCTGATTGGACGCAGATTTGATGATGCTGTTGTCCAGTCTGATATGAAACATTGGCCCTTTATGGTGGTGAATGATGCTGGCAGGCCCAAGGTCCAAGTAGAATACAAGGGAGAGACCAAAAGCTTCTATCCAGAGGAGGTGTCTTCTATGGTTCTGACAAAGATGAAGGAAATTGCAGAAGCCTACCTTGGGAAGGTGAGGTTGGTTTTTCAGTATGGGGTGCATTCCGGAGTAGTTAAAAGCCCGATGACTCCCGGGGGCACTGGCACCTGGCGAGGGAGGGGAACAGATGGGGCTCAGCTCAGGGTTAAGACCACGTGCCCAACAGTGCCCTAGGCTCTCTAGGTAGATGGGTCTGTCAACACCAGAAACCAGTGAATCTTGACAATTACACAGTAATTTACATTTTGGTGGGGGGGGTGCTCCAGCTGTTGTTTCACCAGCATTAATCCATTTGCTGGAGTTTGCATATATGTAAGTATAATAGTTACCAATCTGTGGTCTTTTCCTTATTCCTAGACTGTTACCAATGCTGTGGTCACAGTGCCAGCTTACTTTAATGACTCTCAGCGTCAGGCTACCAAAGATGCTGGAACTATTGCTGGTCTCAATGTACTTAGAATTATTAATGAGCCAACTGCTGCTGCTATTGCTTACGGCTTAGACAAAAAGGTATGTACCATTTGTGATGCAAGTTCGGATTATTTTAAGATTAATTTGATCCATCGTAAATTTAAATGAGATTGTTTTTAACGGCAGGTTGGAGCAGAAAGAAACGTGCTCATCTTTGACCTGGGAGGTGGCACTTTTGATGTGTCAATCCTCACTATTGAGGATGGAATCTTTGAGGTCAAGTCTACAGCTGGAGACACCCACTTGGGTGGAGAAGATTTTGACAACCGAATGGTCAACCATTTTATTGCTGAGTTTAAGCGCAAGCATAAGAAGGACATCAGTGAGAACAAGAGAGCTGTAAGACGCCTCCGTACTGCTTGTGAACGTGCTAAGCGTACCCTCTCTTCCAGCACCCAGGCCAGTATTGAGATCGATTCTCTCTATGAAGGAATCGACTTCTATACCTCCATTACCCGTGCCCGATTTGAAGAACTGAATGCTGACCTGTTCCGTGGCACCCTGGACCCAGTAGAGAAAGCCCTTCGAGATGCCAAACTAGACAAGTCACAGATTCATGATATTGTCCTGGTTGGTGGTTCTACTCGTATCCCCAAGATTCAGAAGCTTCTCCAAGACTTCTTCAATGGAAAAGAACTGAATAAGAGCATCAACCCTGATGAAGCTGTTGCTTATGGTGCAGGTAACAATGGTATCTCAATTAACCCTAAAGGCAGGCAGGCCCAAGGTGACTCGCTGTGATGAGTGATTGTTAAACATTCGTAGTTTCCACCAAAAGCTTGGCTAATGATGGCAACACCTTCCTTGGATGTCTGAGCGAGTGATAGTTAAAACAGGAGCTATGTACTGGGTTTTCTTTTAACTTCTTTTAACGTTAACTTTTTGTTTGCTAGCTGTCCAGGCAGCCATCTTGTCTGGAGACAAGTCTGAGAATGTTCAAGATTTGCTGCTCTTGGATGTCACTCCTCTTTCCCTTGGTATTGAAACTGCTGGTGGAGTCATGACTGTCCTCATCAAGCGTAATACCACCATTCCTACCAAGCAGACACAGACCTTCACTACCTATTCTGACAACCAGCCTGGTGTGCTTATTCAGGTATGTTTCTGTACTTCTCTTGTTTGGCTTACTGATAACAGATAAAGGGAAGTCTTGACTGACTCGCTATGATGATGGATTCCAAAACCATTCGTAGTTTCCACCAGAAAGTCTTATGTTGGCCAGTTCCTTCCTTGGATGTTTGAGCGACCATTCTTCCTTAGCAGGACCCTAGCACTGTCACAGACCTGGAGTCCATTGTAGTAATTTGTTTTATTTCCTACCAAGGTTTATGAAGGCGAGCGTGCCATGACAAAGGATAACAACCTGCTTGGCAAGTTTGAACTCACAGGCATACCTCCTGCACCCCGAGGTGTTCCTCAGATTGAAGTCACTTTTGACATTGATGCCAATGGTATACTCAATGTCTCTGCTGTGGACAAGAGTACGGGAAAAGAGAACAAGATTACTATCACTAATGACAAGGGTAAGGAGGCACTGTCATCTGGTCTTGACAGGGATAATGGTATTTCAATTGAGTTACTGGTGAATAAGGGCGTCTAGCTAAGAGAAACTAGAGTTACACATACACAGGTAATTTAAGGCTTTTACTTAGAGTTAATTTCTTTCCTAGGCCGTTTGAGCAAGGAAGACATTGAACGTATGGTCCAGGAAGCTGAGAAGTACAAAGCTGAAGATGAGAAGCAGAGGGACAAGGTGTCATCCAAGAATTCACTTGAGTCCTATGCCTTCAACATGAAAGCAACTGTTGAAGATGAGAAACTTCAAGGCAAGATTAACGATGAGGACAAACAGAAGATTCTGGACAAGTGTAATGAAATTATCAACTGGCTTGATAAGAATCAGGTTTGTGTTTTTTTTTTTTTTTTTCCTCCCCCACGCAATGGAGGGGAAGGGGATGGTAAACCAAGCTTGAGCTGGATTTCAGTGTAGGGTCACAATGATGAATGGTCCAAAACATTCGCGGTTTCCACCAGAATTCAAGGTGTTGGCAACTACCTTCCTTGGATGTCTGAGTGACCCAAGATGTTAAGGAAGAATAAGGCCCTATTTTAATGTTGGTATGGGCCCTCTTGTAAGAGTTTGCTCCAGACTTTTAGTATCAGATTGCGTCAGGGAGAAAGAAGGGTTATTAACATTAAAAGAACTTGCAGTAATTCCTTTTTCTCTTCCTCAGACTGCTGAGAAGGAAGAATTTGAACATCAACAGAAAGAGCTGGAGAAAGTTTGCAACCCCATCATCACCAAGCTGTACCAGAGTGCAGGAGGCATGCCAGGAGGAATGCCTGGGGGATTTCCTGGTGGTGGAGCTCCTCCCTCTGGTGGTGCTTCCTCAGGGCCCACCATTGAAGAGGTTGATTAAGCCAACCAAGTGTAGATGTAGCATTGTTCCACACATTTAAAACATTTGAAGGACCTAAATTCGTAGCAAATTCTGTGGCAGTTTTAAAAAGTTAAGCTGCTATAGTAAGTTACTGGGCATTCTCAATACTTGAATATGGAACATATGCACAGGGGAAGGAAATAACATTGCACTTTATACACTGTATTGTAAGTGGAAAATGCAATGTCTTAAATAAAACTATTTAAAATTGGCACCATACAATTGCTTTGAGTCTTTAAATAATCTCCCAGGCCAGCGGTGGGAGAAGTAGGCTTAGGTGATTATGTGACTCTTACTTTCTCCTTCCTCTTAAGCTTGAGTTAACAAGGGCTGGGTGGCAAGTTGCCCTTCAGAGCATGTGGATGGTACATTTTGGAATTCAGAGCTTTGAGAAGGGGAGCATAAGAAATTGGATCTGGATCAAACTAACCTTAGTCCTTAGGCTGGAGAGGCAGAAGCTGACTTAATGGTGTTTTCTAAACTTATTCTGTGTGTAAGCCTGCCTAGGAGCAGAGGCTTTCCTGGAGGGTTGTGCTAGATGAGTAAGAATTTAGATACAGAATCAAATAATGGGCAGTGAATATTAAGCTACATGGCAGAGGTATCTGAATGTCAATCCCTTATATGAGCCACTGCCCTGTGGGCTTCCATTTCTTCTGAGTTAAGATTATTCAGAAGGTCGGGGATTGGAGCTAAGCTGCCACCTGGTTAATTAAGGTCCCAACAGTGAGTTGTGATAGCCTAGGG 8 | AGCAAATGATCAATGTGCTTTGTGAATGAAGAGTCAACATTTTACCAGGGCGAAGTGGGGAGGTACAAAAAAATTTCCAGTCCTTGAATGGTGTGAAGTAAAAGTGCCTCAAAGAATCCCACCAGAATGGCACAGGTGGGCATAATGGGTCTGTCTCATCGTCAAAGGACCCAAGGAGTCTAAAGGAAACTCTAACTACAACACCCAAATGCCACAAAACCTTAGTTATTAATACAAACTATCATCCCTGCCTATCTGTCACCATCTCATCTTAAAAAACTTGTGAAAATACGTAATCCTCAGGAGACTTCAATTAGGTATAAATACCAGCAGCCAGAGGAGGTGCAGCACATTGTTCTGATCATCTGAAGATCAGCTATTAGAAGAGAAAGATCAGTTAAGTCCTTTGGACCTGATCAGCTTGATACAAGAACTACTGATTTCAACTTCTTTGGCTTAATTCTCTCGGAAACGATGAAATATACAAGTTATATCTTGGCTTTTCAGCTCTGCATCGTTTTGGGTTCTCTTGGCTGTTACTGCCAGGACCCATATGTAAAAGAAGCAGAAAACCTTAAGAAATATTTTGTAAGTATGACTTTTTAATAGTACTTGTTTGTGGTTGAAAATGACTGAATATCGACTTGCTGTAGCATCTCTGATAGGCTGTCATCTCTTGTAGGCAGTCATTTTGAGATTTGGTGTTATTTTGTTAATTATTGACTAGATGAGTTCCTTGACTAAATAATCTAGATATTGTTTTAACCTTCTGCTCAGTTTGTATAGAGACTTAAAAGGGATTTATGAATTTTCCAAAAGATGGGCATAATATGGGTATGAAGCATAATGATGTTAATAATTTTGTGGTGGGAACTCATTCAGTTGTGATAGTCAAGGAGTATGCAGATTGAAAAAAATGATTGGTTATTAGTTTTTGACTTCTCAGACTCTAAGGTCAAGATTAGCATTAAAAAGGTAATAGGAAATGTTTACAAATTAAAGTCAAAAAGGTCCTTAAAGCTTTGGCTTAAAAAAATAACTGATAGGTGATTTTCTCCAAAAAGTGATTTCAACATTCTGCTTCTCTATCTATATTACTTGTGAAGTATTCCGGAACTTCGTTGCTCACTGGGATTTTGGAAGAATTATGATTCTGGCTAAGGAATGTTTAAAAATTTTAAGTGAATTTTTTGAGTTTCTTTTAAAATTTTATTGATGGTTAATGAAAAGTTTTTACATTTTAAATATTTCATTATTTGTTTAAAACTTAGCTGTTATAATTATAGCTGTCATAATAATATTCAGACATTCACAATTGATTTTATTCTTACAACACAAAATCAAATCTCACACACACACACACACACACACACTCGCACATGTTTGGAACTATCTTTTAAAGCTCGTATAATAATACCCTACAGGAAGGCACAGTAGATGTAATAGAAACCTGTACCATTGGGGGGCAGTATTTTATAGTGGGGTGGCTTTGCTGTTTTTTGTTTTTGTATTTTTTAGCCTAGCTTGAAAATACTTTCTTTAGCTTACTATAGTTTTTGGGACCTTTGGAGTATCAGCTTTGTTGAGCTCATTTGTGACATTGCAATTTAATGGTTATATTGGGAAATAAAAAAGCTAAAAGAACATAATAGTCTTTGTCTATATCTCACATAAGCCTTTTGGGAATACTTATTGTTAGAACTAAGCAGAAGAGTTGAAAAGGAAATCAGTGAATATTGTCACATCTGAGTTCAATGAAACTTGAAATATATTTTTAAGGCAATTTATGGGCTAATTGTAAACCAATTTTTTCTTTTTTTTTTTTAGAATGCAGGTCATTCAGATGTAGCGGATAATGGAACTCTTTTCTTAGGCATTTTGAAGAATTGGAAAGAGGTAAGCTGAATATTCCCATTTGGCTAATTTTCCTGTTGCTTGCTTTCTGATGGATAAATTCACATCATCCTCTGTTTGTGCTCTTTCCTTCCAAGGAGAGTGACAGAAAAATAATGCAGAGCCAAATTGTCTCCTTTTACTTCAAACTTTTTAAAAACTTTAAAGATGACCAGAGCATCCAAAAGAGTGTGGAGACCATCAAGGAAGACATGAATGTCAAGTTTTTCAATAGCAACAAAAAGAAACGAGATGACTTCGAAAAGCTGACTAATTATTCGGTGAGGCTATTTAAATTCTTTCTTTGGTTTCATTGCCGAGGGTCTTGCAAAGCATTTATTCTCCAGAAAGTAGACATTAGCTATTTAACAGTTGCTAAAGCTATGAACTCAACTCATGGCTGAAACTCTACCTTACTATTTCCATTCGTGTTTGGGTGACTTTGCAAAGCCAGTAAGAGAATCGCTGAAGTATGTAATGTAGAGAAATGCTGGCATTGTAACTATTGCGTAAAGACAGGTGAGTTGACAAATTCCAGTGAAGAGGAAGTAGGTGAGGAAGAAGCAGGGAGTACTGAGAAGCAGTTCTCTCATTGTCCCTTGCTCATATGATGGAAATTCTCTTACTTTGAATGAGAGGCTGTCTGTCTTAATGGAAAGAGCAGTGGGAGGAGCTGAGAAGATGTGTGTTCTCCTCCCAACTCAGCCACCAAGGAACTGTGATGAATCACATGGCTGGCTGGGCTCAGTTTCCTCATCTTAAAAGGAAACTGTTAGGTTCACTGTATAAGTTTGATGACCTTCTTTGCTCCAAAACTCTACAATGCAAAGAATAGAAAATGAGAATGAGATAGAAGAAAGCTACAGTCTTTGAATAGGTACCAGGGACACCCCACTGCAAGTCTCTAGCCAACCTATCAGATTGTACTGCCCAATTAGAAGCAAGAATGGTTGCTGTTTGTTTGTTTTTAGGGAAAAATAGATAGAATTTATACCTTATGAAAAGATTGTTCTATCAACTCTCTATCAACTTTCAGAATATCTCAGCTGGAGAACTCCTTAGACTCCTAAGTCTTACCTCATGAACTTGTATCTTTAAGTTATGGCTTCTATAAACAGAAAGATAACGTTGAGGCATAAAGACAAATCATGTTTTTCAGAATGTTTTCTAGAAGACAAAGGCCTCTAGATTCCTTTGGGGTTGACTTTGATATAAATGGGCTCAAATGAGAGGGACCAGGGTCTTCAAGCTAGCATTTGTGTTCTTAGGATATGTGCTCAGCTTTCACTATTGCTGGGCCTGCCTCTCACTCCTCTCATGTAAGCCCCCAGAAACAGAAAGGAGAGACATGGCAACAGGTCTCCTTTGGTTATAAACTAGACACTCAGCACTTGTTTCTAATCCAGTGGTGCCCCTGGCTTACTGTTCAGTCCTGGATAAGTCTCTTAGTTTCTTGGTGATGATTTGAACATTGGAAAGTAAAATCTGTCACTTGCAAACACACAGCTTGTCGAAAATTTTTTCTACTCTGCAGGAACTGGGCCTTAAAAAAATGAAAAAAAATCTGTGGTTTCTTCCTTCTGGAAGCTACAAACCTCCTGTTTCTTGATGGGCAATCTTGAGTGAGCTCTATTAATTATTATTCTCTTTGGCTCAGTTGCTAAGCTATTTTATGCATGTTATGCCCTTTGACAATTAGTCTTTAGCTGTAATCCCCCAGCCATCCTCAGAAATGTGGTGAGGTAGCCATAGTGTTCCCAAGATTAGAAAAATGTAATGGCAGAGCCAAGAGGAAGGTAAATGGTCCACATCTTATGAAGCATCATCTAAATGGCCCTATTGGTTAGAGTGAGGAGATGCAAGTAGTTCAATTTGCTTGCCTAGAAGGCAGGGTACTGGAAAAGTTGTTGCAATTCTTAATTTTAAACTTTATATATCAGTAAGCCATATATAAATATGATTGGGGGTGTTTATTTTAAAATCTATTATGGAAATTGAGAGACTGACCTAATCTGGGAGAAATTAAAAATTACAGTTTTCACTCGTTTTGGATTTGGTGTTTTCTAGGGTACCTAACCTAGATCAGTGGTTCTCAAACTTAGGTGGATGTCAGAATCACCTGGGGAGCTTAGTGAATGCACAGGGCACAGTCCTTCCACTTCATGCACCTGGATCTCTGAGGTCTTTGACAGGTTTCCGGATTAATCTGCTATGCACAACAGTGAGAATCATTGACCTATAGTTACTCATTTGATGCATACAGGAAAGACTGAAGTATAAAGTGATATAATTGGTAGATTGATGATAGAGAGGTCATAGAAACAGTCTCATCCTCCTTTAGATGAGAAAATAGAAGTTCAGAGAGGTTAAGTAGCTGGCTCAAGGTCAGAATTATTGCATGCATGAGATTCAAACCCACCTTTTTATGCTGACTCCACAACCAGGAGTCTTTTCACTATATAATTTCAAGAATTCTATAGAAGTAGATTTAAAGATATGTGATGGACTCCACCACATTATAGCACAACTAGAAATGTAATTGTAATTTTTAGCTTCAACTGCTGAAGAAGTAAATATTGTATATTAAGGTAATACGGTCCATTTTTTAAAGGAATACTTTTATTTTCACTGACCATCATGACATTAGCAGAATATCCTGATGGCTTATATGCCTGAAATTAATTTTGCTCTTTTCTTTCCCGATAGGTAACTGACTTGAATGTCCAACGCAAAGCAATACATGAACTCATCCAAGTGATGGCTGAACTGTCGCCAGCAGCTAAAACAGGGAAGCGAAAAAGGAGTCAGATGCTGTTTCGAGGTCGAAGAGCATCCCAGTAATGGTTGTCCTGCCTGCAATATTTGAATTTTAAATCTAAATCTATTTATTAATATTTAACATTATTTATATGGGGAATATATTTTTAGACTCATCAATCAAATAAGTATTTATAATAGCAACTTTTGTGTAATGAAAATGAATATCTATTAATATATGTATTATTTATAATTCCTATATCCTGTGACTGTCTCACTTAATCCTTTGTTTTCTGACTAATTAGGCAAGGCTATGTGATTACAAGGCTTTATCTCAGGGGCCAACTAGGCAGCCAACCTAAGCAAGATCCCATGGGTTGTGTGTTTATTTCACTTGATGATACAATGAACACTTATAAGTGAAGTGATACTATCCAGTTACTGCCGGTTTGAAAATATGCCTGCAATCTGAGCCAGTGCTTTAATGGCATGTCAGACAGAACTTGAATGTGTCAGGTGACCCTGATGAAAACATAGCATCTCAGGAGATTTCATGCCTGGTGCTTCCAAATATTGTTGACAACTGTGACTGTACCCAAATGGAAAGTAACTCATTTGTTAAAATTATCAATATCTAATATATATGAATAAAGTGTAAGTTCACAACTACTTATGCTGTGTTGGACTTTTTCTAAGTGAGACCTGGAGTGAAAGAACTACCTATTAATGAATTAGTAGGGAGGGGAGTCTTCTTAGCTGTGAAAATTTTAGAGTTGCATTTGGTTCCATTAAATGTGGTATTTCTTTCCACTAGCATTTTGTTGGCTTTCGCTTTTCCAGTTAGCAGCTCTTTGAATTATCTTTCTAAGATACAGATTTAATTATGTCACTATTCAATTCAGAGGTTCTGCTATGGAATGTAGTTTAAACTGCTTAGCTTGGCACACAGAGATTTATTTCTAGCCCCTTCTCCACCTTCCTATTTCCTCCTTCGTTTCAGAATCTTCCTCTCCCTCATCCAATGCTGGCAAACACCAGTGGGGGTGGAGTAGTGGGTGTAAGCTCTAGGGAGAAGGCTTGGATTGGAATCCAAGTTATTCCATTACAAGTAGTGTGACCTTTAATACATTATGTATATTGTCTAAGTTTCAGCTTTATTGTCTGAAAAAGAAAAATAATTGTGTGTTCCTCATAATATTGTGGTACGAATTGATTCTTTCACTCAAGAAATATTTACTGGAGTACCTACTACATGCCTGGTGCTGTTGTAGACCTTGAGATACCTTACTCAAGCAAAACAG 9 | AGCTTTCCCCACCACAGAATCCAAGTCGGAACTCTTGGCACCATGAACCCAGCCATCAGCGTCGCTCTCCTGCTCTCAGGTACTGGGCAAGGGTCAGGGCTGGCATTCTAAGGAATCTGGCTTCCTCCCATCCCGGGAAGTAGCCTCTTTGCCATAGTCTCAGGGGCACAGGTGGTTGGGAGGTGCGGGGGTGGGGAGTGGGGAGGAGCCTCAACCTCACCAGTGGTGGTCTTTGACATATTAGAAACTCCATAATGGATCTAGGAACTCCTCTGCTGGGTGGTGGTGGTTGTGGTACACACCTTTAATCTCAGCACTCAGGAGGCAGAGTCAGGTGGATCTGTTAGTCTGAAGCCAGCTGGTCTACAGAGCAAATTCCAGGACAGCCAGAGCTATTCTCAAGATAGAGAATCCCTTTCTTGAAAAAACCATTTAAAAACAAAAACAAAAGCAACACACTCCTTTGATCTCCTGTTCTTGAAACACATTGTTGGGACCCAGAACTTCAGTAGATTGATGGAAGTTGGAGTCTGCAAGTGGTGGAACATCCCACCAATACCTCAAGGGCGAGTGCAAACCCCACATCCCCCCAGCTCAAGCTCACTTTTCCTGCAGGTGGGAGGCCCGGGTCTGTGTCTCCCCAAATTCAGAGAAGGCACTGCTGTGCAGTCTTGCAGGTGTCCCGAGGGCAGAAGGTGACCAGCCTGACAGCCTGCCTGGTGAACCAAAACCTTCGCCTGGACTGCCGCCATGAGAATAACACCAAGGATAACTCCATCCAGCATGAGTTCAGCCTGACCCGAGAGAAGAGGAAGCACGTGCTCTCAGGCACCCTTGGGATACCCGAGCACACGTACCGCTCCCGCGTCACCCTCTCCAACCAGCCCTATATCAAGGTCCTTACCCTAGCCAACTTCACCACCAAGGATGAGGGCGACTACTTTTGTGAGCTTCAAGTCTCGGGCGCGAATCCCATGAGCTCCAATAAAAGTATCAGTGTGTATAGAGGTGAGACTGGTTCCCAGAAAGATAAAATGTCTAGGTTAGCTAGGCTGGGGTAGCCAATAAAAAAAAAAAAAAAAAAAAAAAAAAAAACAGGCACCTCCATTACCCTTCCCCTAACTGCTGGTCTCCTGGGAAACTGCTGCTGTCTATGTGAGTGGGGCAAGATTAGGGGCCAGAAAGGGGGAGCTTGTAGTAAAAGCACAGTTGAGGAAACTAAATGGGAAAGGCAGTACAGTGGTGATTCTTGTGGTGTGGAGGTTCTGTTACAGCATCCGGTGGAGCCGCTAAGATGAGAAAGCGCCAGCTAGCTGCCTTGAACAGCTGACACCTGTCTTTGCCCGCCTGAGTCCTGATCTCCCCTCCTCCCGGCACCCCTTCTCTATCCACAGACAAGCTGGTCAAGTGTGGCGGCATAAGCCTGCTGGTTCAGAACACATCCTGGATGCTGCTGCTGCTGCTTTCCCTCTCCCTCCTCCAAGCCCTGGACTTCATTTCTCTGTGACTGGTTGGGCCCAAGGAGAAACAGGGGCCCTCGAGGAGCCCCTCGGGTCCTTCCTCTGCAGAGGTCTTGCTTCTCCCGGTCAGCTGACTCCCTCCCCAAGTCCTTCCAATATCTCAGAACATGGGGAGAAACGGGGACCTTGTCCCTCCTAAGGAACCCCAGTGCTGCATGCCATCATCCCCCCCACCCTCGCCCCCACCCCCGCCACTTCTCCCTCCATGCATACCACTAGCTGTCATTTTGTACTCTGTATTTATTCTAGGGCTGCTTCTGATTATTTAGTTTGTTCTTTCCCTGGAGACCTGTTAGAACATAAGGGCGTATGGTGGGTAGGGGAGGCAGGATATCAGTCCCTGGGGCGAGTTCCTCCCTGCCAAGGAAGCCAGATGCCTGAAAGAGATATGGATGAGGGAAGTTGGACTGTGCCTGTACCTGGTACAGTCATACTCTGTGGGGAATCATCGGGGAGGGGGGGGGGGCTCAAGATGGGAGAGCTCTGCTAGCCTTTGTGGACCATCCAATGAGGATGAGGGCTTAGATTCTACCAGGTCATTCTCAGCCACCACACACAAGCGCTCTGCCATCACTGAAGAAGCCCCCTAGGGCCTTGGGCCAGGGCACACTCAGTAAAGATGCAGGTTCAGTCAGGGAATGATGGGGAAAGGGGTAGGAGGTGGGGGAGGGATCACCCCCTCCTCTAAAACACGAGCCTGCTGTCTCCAAAGGCCTCTGCCTGTAGTGAGGGTGGCAGAAGAAGACAAGGAGCCAGAACTCTGACTCCAGGATCTAAGTCCGTGCAGGAAGGGGATCCTAGAACCATCCGGTTGGACCCAGCTTACCAAGGGAGAGCCTTTATTCTTCTTTCCCTCTGCCCCTCTGTGCCAGCCCCTCTTGCTGTCCCTGATCCCCAGACAGACGAGAGTCTTGCAAACAGCCTGTTCCAAGACCTCCTAATCTCAGGGGCAGGCGGTGGAGCTGAGATCCGGCGTGCACACTTTTTGGTTGATAGCTTTCCCAAGGATCCTCTCCCCCACTGGCAGCTCTGCCTGTCCCATCACCATGTATAATACCACCACTGCTACAGCATCTCACCGAGGAAAGAAAAATGCACAATAAAACCAAGCCTCTGGAGTGTGTCCTGGTGTCTGTCTCTTCTGTGTCCTGGCGTCTGTC 10 | GAATTCAGCACTGAATCATGCCCAGAACCCCCGCAATCTATTGGCTGTGCTTTGGCCCCTTTTCCCAACACACACATTCTGTCTGGTGGGTGGAGGGGAAACATGCGGGGAGGAGGAAAGGAATAGGATAGAGAGTGGGATGGGGTCGGTAGGGGTCTCAAGGACTGGCCTATCCTGACATCCTTCTCCGCGTTCAGGTTGGCCACCATGGCCTGCTGCCAGAGGGCACCCACGTGACCCTTAAAGAGAGGACAAGTTGGGTGGTATCTCTGGCTGACATTCTGTGCACAACCCTCACAACGCTGGTGATGGTGGGAAGGGAAAGATGACAAGTCAGGGGGCATGATCCCAGCATGTGTGGGAGGAGCTTCTAAATTATCCATTAGCACAAGCCCGTCAGTGGCCCCAGGCCTAAACATGCAGAGAAACAGGTGAGGAGAAGCAGCGAGAGAGAAGGGGCCAGGTATAAAAAGGGCCCACAAGAGACCAGCTCAAGGATCCCAAGGCCCAACTCCCCGAACCACTCAGGGTCCTGTGGACAGCTCACTAGCGGCAATGGCTGCAGGTAAGCGCCCCTAAAATCCCTTTGGCACAATGTGTCCTGAGGGGAGAGGCGGCGTCCTGTAGATGGGACGGGGGCACTAACCCTCAGGTTTGGGGCTTATGAATGTTAGCTATCGCCATCTAAGCCCAGTATTTGGCCAATCTCTGAATGTTCCTGGTCCCTGGAGGAGGCAGAGAGAGAGAGAGAGAAAAAAAAAACCCAGCTCCTGGAACAGGGAGAGCGCTGGCCTCTTGCTCTCCAGCTCCCTCTGTTGCCTCCGGTTTCTCCCCAGGCTCCCGGACGTCCCTGCTCCTGGCTTTTGGCCTGCTCTGCCTGTCCTGGCTTCAAGAGGGCAGTGCCTTCCCAACCATTCCCTTATCCAGGCTTTTTGACAACGCTATGCTCCGCGCCCGTCGCCTGTACCAGCTGGCATATGACACCTATCAGGAGTTTGTAAGCTCTTGGGTAATGGGTGCGCTTCAGAGGTGGCAGGAAGGGGTGAATTTCCCCCGCTGGGAAGTAATGGGAGGAGACTAAGGAGCTCAGGGTTGTTTTCTGAAGTGAAAATGCAGGCAGATGAGCATACGCTGAGTGAGGTTCCCAGAAAAGTAACAATGGGAGCAGGTCTCCAGCATAGACCTTGGTGGGCGGTCCTTCTCCTAGGAAGAAGCCTATATCCTGAAGGAGCAGAAGTATTCATTCCTGCAGAACCCCCAGACCTCCCTCTGCTTCTCAGAGTCTATTCCAACACCTTCCAACAGGGTGAAAACGCAGCAGAAATCTGTGAGTGGATGCCTTCTCCCCAGGTGGGATGGGGTAGACCTGTGGTCAGAGCCCCCGGGCAGCACAGCCACTGCCGGTCCTTCCCCTGCAGAACCTAGAGCTGCTCCGCATCTCCCTGCTGCTCATCCAGTCATGGCTGGAGCCCGTGCAGCTCCTCAGGAGCGTCTTCGCCAACAGCCTGGTGTATGGCGCCTCGGACAGCAACGTCTATCGCCACCTGAAGGACCTAGAGGAAGGCATCCAAACGCTGATGTGGGTGAGGGTGGCACCAGGATCCAATCCTGGGGCCCCACTGGCTTCCAGGGACTGGGGAGAGAAACACTGCTGCCCTCTTTTTAGCAGTCAGGCGCTGACCCAAGAGAACTCACCGTATTCTTCATTTCCCCTCGTGAATCCTCCAGGCCTTTCTCTACAACCTGGAGGGGAGGGAGGAAAATGGATGAATGAGAGAGGGAGGGAACAGTGCCCAAGCGCTTGGCCTCTCCTTCTCTTCCTTCACTTTGCAGAGGCTGGAAGATGGCAGCCCCCGGACTGGGCAGATCTTCAATCAGTCCTACAGCAAGTTTGACACAAAATCGCACAACGATGACGCACTGCTCAAGAACTACGGGCTGCTCTACTGCTTCAGGAAGGACATGGACAAGGTCGAGACATTCCTGCGCATCGTGCAGTGCCGCTCTGTGGAGGGCAGCTGTGGCTTCTAGCTGCCCGGGTGGCATCCCTGTGACCCCTCCCCAGTGCCTCTCCTGGTCGTGGAAGGTGCTACTCCAGTGCCCACCAGCCTTGTCCTAATAAAATTAAGTTGCATCATTTTGTTTGACTAGGTGTCCTTGTATAATATTATGGGGTGGAGGCGGGTGGTATGGAGCAAGGGGCCAGGTTGGGAAGACAACCTGTAGGGCCTTCAGGGTCTATTCGGGAACCAGGCTGGAGTGCAGTGGCAGTCTTGGCTCGCTGCAATCTCCGCCTCCTGGGTTCAAGCGATTCTCCTGCCTCAGTCTCCCGAATAGTTGCGATTCCAGGCATGCAAGACCAGGCTCAGCTAATTTTTGTATTTTTGGTAGAGACGGGGTTTCACCATATTGGCCAGTCTGGTCTCCATCTCCTGACCTCAGGTAATCCGCCCGCCTCGGCCTCCCAAATTGCTGGGATTACAGGTATGAGCCACTGGGCCCTTCCCTGTCCTGTGATTTTAAAATAATTATACCAGCAGAAGGACGTCCAGACACAGCATGGGCTACCTGGCCATGCCCAGCCAGTTGGACATTTGAGTTGTTTGCTTGGCACTGTCCTCTCATGCATTGGGTCCACTCAGTAGATGCT 11 | GAATTCAGGACTGAATCGTGCTCACAACCCCCACAATCTATTGGCTGTGCTTGGCCCCTTTTCCCAACACACACATTCTGTCTGGTGGGTGGAGGTTAAACATGCGGGGAGGAGGAAAGGGATAGGATAGAGAATGGGATGTGGTCGGTAGGGGGTCTCAAGGACTGGCCTATCCTGACATCCTTCGCCCGCGTGCAGGTTGGCCACCATGGCCTGCGGCCAGAGGGCACCCACGTGACCCTTAAAGAGAGGACAAGTTGGGTGGTATCTCTGGCTGACACTCTGTGCACAACCCTCACAACACTGGTGACGGTGGGAAGGGAAAGATGACAAGCCAGGGGGCATGATCCCAGCATGTGTGGGAGGAGCTTCTAAATTATCCATTAGCACAAGCCCGTCAGTGGCCCCATGCATAAATGTAGCACAGAAACAGGTGGGGTCAACAGTGGGAGAGAAGGGGCCAGGGTATAAAAAGGGCCCACAAGAGACCAGCTCAAGGATCCCAAGGCCCAACTCCCCGAACCACTCAGGGTCCTGTGGACAGCTCACCTAGCTGCAATGGCTACAGGTAAGCGCCCCTAAAATCCCTTTGGCACAATGTGTCCTGAGGGGAGAGGCAGCGACCTGTAGATGGGACGGGGGCACTAACCCTCAGGGTTTGGGGTTCTGAATGTGAGTATCGCCATCTAAGCCCAGTATTTGGCCAATCTCAGAAAGCTCCTGGCTCCCTGGAGGATGGAGAGAGAAAAACAAACAGCTCCTGGAGCAGGGAGAGTGTTGGCCTCTTGCTCTCCGGCTCCCTCTGTTGCCCTCTGGTTTCTCCCCAGGCTCCCGGACGTCCCTGCTCCTGGCTTTTGGCCTGCTCTGCCTGCCCTGGCTTCAAGAGGGCAGTGCCTTCCCAACCATTCCCTTATCCAGGCTTTTTGACAACGCTATGCTCCGCGCCCATCGTCTGCACCAGCTGGCCTTTGACACCTACCAGGAGTTTGTAAGCTCTTGGGGAATGGGTGCGCATCAGGGGTGGCAGGAAGGGGTGACTTTCCCCCGCTGGAAATAAGAGGAGGAGACTAAGGAGCTCAGGGTTTTTCCCGACCGCGAAAATGCAGGCAGATGAGCACACGCTGAGCTAGGTTCCCAGAAAAGTAAAATGGGAGCAGGTCTCAGCTCAGACCTTGGTGGGCGGTCCTTCTCCTAGGAAGAAGCCTATATCCCAAAGGAACAGAAGTATTCATTCCTGCAGAACCCCCAGACCTCCCTCTGTTTCTCAGAGTCTATTCCGACACCCTCCAACAGGGAGGAAACACAACAGAAATCCGTGAGTGGATGCCTTCTCCCCAGGCGGGGATGGGGGAGACCTGTAGTCAGAGCCCCCGGGCAGCACAGCCAATGCCCGTCCTTGCCCCTGCAGAACCTAGAGCTGCTCCGCATCTCCCTGCTGCTCATCCAGTCGTGGCTGGAGCCCGTGCAGTTCCTCAGGAGTGTCTTCGCCAACAGCCTGGTGTACGGCGCCTCTGACAGCAACGTCTATGACCTCCTAAAGGACCTAGAGGAAGGCATCCAAACGCTGATGGGGGTGAGGGTGGCGCCAGGGGTCCCCAATCCTGGAGCCCCACTGACTTTGAGAGACTGTGTTAGAGAAACACTGGCTGCCCTCTTTTTAGCAGTCAGGCCCTGACCCAAGAGAACTCACCTTATTCTTCATTTCCCCTCGTGAATCCTCCAGGCCTTTCTCTACACTGAAGGGGAGGGAGGAAAATGAATGAATGAGAAAGGGAGGGAACAGTACCCAAGCGCTTGGCCTCTCCTTCTCTTCCTTCACTTTGCAGAGGCTGGAAGATGGCAGCCCCCGGACTGGGCAGATCTTCAAGCAGACCTACAGCAAGTTCGACACAAACTCACACAACGATGACGCACTACTCAAGAACTACGGGCTGCTCTACTGCTTCAGGAAGGACATGGACAAGGTCGAGACATTCCTGCGCATCGTGCAGTGCCGCTCTGTGGAGGGCAGCTGTGGCTTCTAGCTGCCCGGGTGGCATCCCTGTGACCCCTCCCCAGTGCCTCTCCTGGCCCTGGAAGTTGCCACTCCAGTGCCCACCAGCCTTGTCCTAATAAAATTAAGTTGCATCATTTTGTCTGACTAGGTGTCCTTCTATAATATTATGGGGTGGAGGGGGGTGGTATGGAGCAAGGGGCCCAAGTTGGGAAGACAACCTGTAGGGCCTGCGGGGTCTATTCGGGAACCAAGCTGGAGTGCAGTGGCACAATCTTGGCTCACTGCAATCTCCGCCTCCTGGGTTCAAGCGATTCTCCTGCCTCAGCCTCCCGAGTTGTTGGGATTCCAGGCATGCATGACCAGGCTCAGCTAATTTTTGTTTTTTTGGTAGAGACGGGGTTTCACCATATTGGCCAGGCTGGTCTCCAACTCCTAATCTCAGGTGATCTACCCACCTTGGCCTCCCAAATTGCTGGGATTACAGGCGTGAACCACTGCTCCCTTCCCTGTCCTTCTGATTTTAAAATAACTATACCAGCAGGAGGACGTCCAGACACAGCATAGGCTACCTGCCATGGCCCAACCGGTGGGACATTTGAGTTGCTTGCTTGGCACTGTCCTCTCATGCGTTGGGTCCACTCAGTAGATGCC 12 | GAATTCACAAGCCTTTTCTCTGAGAGAGGCCTTGGGACTAGGAACTTTTTGAATGAGTGTAGAAGTCGGGAAGGAGACAATAGTGTCAACTTGGGATTGCCTAAGGCAACAACAGAGCAAAACAAGAACGCTTTGGTTCTCTGGGTCTCTGTCCCTGATTGCATAGCGGGTCATTGTTGGGAAATATTTCCTCACCTGGCATTCCAAGAAATGGTGAGCTCCACAGCTGTATATAGTCCTGTCATTAAATACAGGAGTGTTCTATCCCGCTGGAATTAAGAAAATTGGTAGAACCAGATTGTGGTCTGAAATCTTTTTTCAGAAATGCTGCCATCGTGTGGCACTGCGGAGCTATGACCAGAAGAGTCCTGTAAAGGGTCGTATGGTTCATCTCAAGATGGCTGGGCTCCAGCATAATCTATTCCTATAATTAATTCTAGCTTCATATTGAATCATTCCCGTGGGCACAGAGTAAACTACAGTAAATCCTGTGGAAATTTTGTTGTTTTTAGAATTTTCGGACTTCCCTCCACTAAATTGACAACATGACACGCTTATGCGNGTATGTTTAAAGGAAAAAAATAGTTTTTAGAAGCAGAAAAAAGAAGTCTATTTTGCAACTTTATAATCTGTGTGCTTNCTATTTTATAGAGATAGTCGTCATCTTACTTATTAAAATGGGTGCTTATTACCTACAAACCAATCATATCAATTCATCTGGAATACATCCAATTTAAGGGAGACATATTTCCCCCTACCAAATGTTCATGAAACCTATGAATTAGCTATACACTATCACTGCAAGACATTATTTAATCTATATTTATATTAAAAGTAATATTTGGCAAAAGGAAGCTGACACTTTAGGACTAATAAAAACCACAATTACTTTTGCAGCAACCTAATAATAAATAGGACCATTTATTTTTCATCTCAATTACACACAAGTCTTAACAATAAAGGTGTAAGGTAAATAAATAGTGCAATCTGCATTTCACAACTGAGAAGCAAATGAAGATAAGTAATCTCAAGGCAATATTAAATATTTTAAAAGGACCCAGAGCTCTGCTATCCCTGAATTCTGCTCTAATATTCGGACTTTCCCTGTAATTTTCTTTCATTCAGACACCTTTTAAATACCTAGTAAAGTGTTTTTTAATACAGAAATTTTTAAAAATGTTTTTCTTTTTAAGTGGCCTACTTTACATACCTTGGGAGAAAAACTAGAAAAAAAGATGATTCCAAAATCGAATCTGTTCCTTTAGAAATGTGCAAAATTTCCTTATTGATGCATACAATTTAAAGATCTTACGTCTACTCTCATTTTAATAACCTGTTCTTTTAAAGGACATTACAATTCGTGACTGCCTGCCCCTCTTAAAAATTTCATAATAGTTAACACACATATAGTCCTTAAGATACGCAGAGCATTTGCATCTAATATGTGCTAAGCATTGCTAGTTTAACATACTAATTCATTTAAACCCCTCAAAAACCCCATGACCTAGGTAATAGTATTGCATTTCATGGATGAGGGAACAAGGATAGGTAGGCTGGGCGATTTGCCCAAGGTTGCACAGGTCAGCAGTGACACAGCGGAATTCAGAACCACGGTCTGGCTCCTGAAGCAGCCCTCTCAAGCAGTCATCCTTCTCTCAGTCAGAAACTGCTTTACTTCTGCAACATCTAGAATAAATTACCATTCTTCTATTTCATATAGAATTTTATATTTTAATGTCACTAGTGCCATTTGTCTAAGTAACAAGCTACTGCATACTCGAAATCACAAAGCTAAGCTTGAGTAGTAAAGGACAGAGGCAAGTTTTCTGAACTCCTTGCAGGCTTGAACAATAGCCTTCTGGCTCTTCAATAAGTACAATCATACAGGCAAGAGTGGTTGCAGATATTACCTTTATGTTACTTAAACCGAAAGAAACAAAAATCCATTGTATTTAATTTTACATTAATGTTTTTCCCTACTTTCTCCCTTTTTCATGGGATCCCTAAGTGCTCTTCCTGGATGCTGAATGCCCATCCCGTAAATGAAAAAGCTAGTTAATGATATTGTACATAAGTAATGTTTTAACTGTAGATTGTGTGTGTGCGTTTTTGGTTTTTTTTTGTTTTAACCACAAAACCAGAGGGGGAAGTGTGGGAGCAGGTGGGCTGGGCAGTGGCAGAAAACCTCATGACACAATCTCTCCGCCTCCCTGTGTTGGTGGAGGATGTCTGCAGCAGCATTTAAATTCTGGGAGGGCTTGGTTGTCAGCAGCAGCAGGAGGAGGCAGAGCACAGCATCGTCGGGACCAGACTCGTCTCAGGCCAGTTGCAGCCTTCTCAGCCAAACGCCGACCAAGGTACAGCTTCAGTTTGCTACTGGGTTGTGCATTCAGCTGAATTTCATGGGGAAGTCCAAATTCTAAGGAAAAATATTTTTAATTGTAATGCTGTTAAACAGACTTAAATTTTCTAGCCTTTTTAATAAGCAGATTAGATACATTGCAGGTCTCCTGTGGAACAAAGGTGTCTAGATATTTTGAATGCCAATCAAATTTAAAACTTAAAAATACTTCCACTGGGTCCTCAAAAGAACGGAAACCACCGATGCTAATCAGAAAATAGTAAAATTAAATTCACCTTTGGAATAATTATACCTATATAATTTTCAGTGGGGTACTGTNCAGGAATTTAAAAGAAAAGGGATCTTTTATGCTAATTAAACCAATTACAATGCTATTTTTTAAATGATGTATCTCACTTTTAAGGGGAAGAAAACCCTTNCTGAATATGCCACTGCTAAATTTAGCTGTTAAAATATTCACCAAGATACCTGTATGACACTGTGTAGGCTTATTATTACAAATAGAAAAGCTGTTGGCTATTTTCAATGTTTTCCTTTGAATTTCAAATTTTTAGAACATCTTACTTAAATAACAAATTTCAGAGATAGTTTGATTTCACCTAAGTAGCACCTACTTGATAATTAAGCTAAAAGTCAGATTTAAAGTACATGTTGGAAAAATGGATAAAGCAAATTTTTTTCATTTTTTTCTGTGAGTTTTTTCTTCTCTAAAAAATATTCCCATACTAGCTTATTAATATAATTAAGTTACTGTTGATCTGTTTGTAGGTTTAGAGAGCTAGATATATAAGGTAGTAATGGTATAATTTCTGGAACTCTAAATTTTAAAGTTGAATAAATACAGACTTGCAAAATTTCTCTTTCCCTTGCCTAATAGTGAAAGATGGATAATAGGTGGCAATATAAATATTAACTTGAAAGACTGTAATACTAAAAAGAAAAGGCATCTCTAAGAAGTAGAAAAGATTCTATAGAAAATATATTTTATTTGTGATCATTTTGTAATGTGGTAGTATAAAAAGGTATCACTGTTGTAACCTATGAAGATGTCAGCTATTCCTTATGAAATATTTTGCAGGAAAACTCACTACCATGAGAATTGCAGTGATTTGCTTTTGCCTCCTAGGCATCACCTGTGCCATACCAGTGAGTACAGTTGCATCTTAAAGAAAATTCCTGAAAATAACTGAATTGTGTGCTTCCATGTGCTAGGAGGACATTCTTGTAATCTTTCTTCATCTTTTCTGTTTCTAAGGTTAAACAGGCTGATTCTGGAAGTTCTGAGGAAAAGCAGGTAAGCATCTTTTATGTTTTTATATAGTTAATCATTTACTCAATTATGGCGAGAGGTGCAAGAAACGTATTTGCTGCGTATTTACTTATCTTCTCAGTCAAATCCATTGGTTTACAAGTATTGATTGACTGCCTGCTATGAATCTAGGCCAGTACCAAGCACAGTATAGTTTTTAATAAATATAAGTTTATAAAACCAACCCAGATATTTTAAATATAATAATATCTAGGCATGTATGATGAGTTATCGCATGTAAGATAAGTTATATGAAGTTGTGTGACTTTTTTTCCATTAGTCCACATACTGATCTAAAAGCAGAAAATTCCAGCTTTTGCTTTGTTTAGTGGATTGCTAAGTTTAAAATTCACATTGGATATTAGTCAGAACTGTTTGTATGACCATAATATTCACAATATTGTCTGAGATATTAGCTGAGAAGCCCATTGTGAAAAGAAAGTCTATGTGTGCTGTTTGTATCTATTGTGATTGTCAGCTGATGTTAGATCACATTTTCTAACCAAACATAAGACCAACCAAACTCTTTATTATAATTATTTGACCAGCACTAAAGATGTACCTACCCCTCCACAACAGATGAAACTGTGCCAGCCAAACAACAAATGGGCATTGTCCCCAGAAGCTTGGACAAAAAGGCACACAGAGTTCAATTCCAGTTGAACAGAATAAAGGCCAAAATAGAGCTGCCTTGGGGGTCACTGCAATTACACTGCTTAATGAAGACATTAAAAGAAGTATNCTGTGTNCGTTTGTGTGTGGAGGGGTGTGTGTGTCTGTTTTTCAACTGATTTGAAAATACAGGTGTTGAATCCTAATAATAAACCAGAAAAATTAACATCTCCAGAGAAGATAGAGGTCATACTATTTGAGGCAAGAATTAGCGTCTTTTTAATAAACGAAAATATGGCAAAGATGCATNTTAGAAGGCACGTGGAGCTATAACAATTTAAGAAATACGTGAAGAGCTCAAGGCTCAGCCTTCTAGAATCCCAGAAACTTAAAGCTAGTAAAAAATTGGGGAAGTCTCTAAGGATATATGCCTGAAAATACACACTGGTTATCTGTGAGTGTTAGGATTACTGGGTGGTTTTTAGTCTATCATTTTGCTTACCTTTATTTTCTTCATATTAGTTTTTAAAAATTATAAATGAAACTTATACATCCTTNCTCTCTGAGCCTGTATTACATGTGTCATGAGAATAGATAGATAGATATGAAAAAGTGAAGAGAAAAACTCTGAACTCATCTGGTCTCACTGTTTTTGCGCCTTCTTTTTTTTTTTTTTTTTTTTTTTTTTGAGACGGAGTCTCGCTCCGTCGCCCAGGCTGGAGTGCAGTGGTGTGATCTCGGCTCACTGCAAGCTCCGCCTCCCAGGTTCACCCCATTCTCCTGAGTAGCTGGGACTACAGGCGCCCGCCACCACGCCCGGATAATTTTTTGTATTTTTAGTAGAGACGGGGTTTCACCGTGTTAGCCAGGATGGTCTCCATCTCCTGACCTCGTGATCCACCCTCCTTGGCCTCCCAAAGTGCTGGGATTACAGGCGTAGCACTGCGCNCGGCTGTNTTTTCATCTTCTTAAAGCAAGGAACCCCTTCTTTCAGCAAAACCTTTCGGAGAAGCCCAATACTAAGCTCCTCTGGTTAGAGCCAGCCATGAGAGAAACTCCAAGTACTTCTGACTGGTTCTCTCTCTACTCATCCACCCCTTAGGTGGCTGCAGAAGGAACTCTGTGCAACCCCCAGAGTTCTCATTCTCAGTGACAGGGAAATGTAATGATTGGCCCTGGATGATTCAGCAGATCAGATGATACTTACTCAGAGCAATTTCCACTCCTTTGCAGTAGCATATTATCAGTATTTTCCAGATAAATAACTTGGCTAAAGAAAAATCCATTTCATTTACATCTTTGGCACCTTACAGCAATAGAACTTTTGTGCAATGATTTTAATATTATATTTCTACATTGGCTGATAAGATACATATGGCTATTGAGCACTCAAAATGTGGGCTAGTGCAACTGAGGAACTGAATTTTTATCTTCTTTTTTTTTTTTTTTTTTTGAGATGGAGTCTTGCTCTGTCACCCAGACTGGAGTGCAGTGGCGCAATCTTGGCTCACTGCAAGCTCTGCCTCCTGGGTTCACGCCATTCTCTTGCCTCAGCCTCCCCAGTAGCTGGGGGTACAGGTGCCTGCCACGCCCGGCTATTTTTTTTTATTTTTATTTTTTTTAGTAGAAACGGGGTTTCACTGTGTTAGCCAGGATGTTCTCGATCTCCTGACCTCGTGATCCGCCTGCCTCGGCCTCCCAAAGTGCTGGGATTACAGGGGTGAGCCACCGTGCCTAGCCATTTCATTTTAATTAACTTAAATTTAAATAGCTCCATGTGGTTAGAGGATACTGAATTAGCACAGTCTTAGAGAGTTCCTTCTTGTTCCATGGACTGGACACAATGAAGATTAACAGTAATTAAGGTCACTTCTGGTTTAGATGTGCTTNATCTGAGAGGAAAATTCAGCCAGCAAACATACAAAAAGAAAGCACAGTGTGAAGTTCGGTGTTAAGAGCTAGTNTGCCTGCGTTTGAACCCTGCCTGGCTCTGCCATTTCCTACCACTTAACTGCACTGTGGCTGAGTTTTCTGATCTGTAAGGTGGGAATAATAATGATACCTATCTCATAGGGGAATGAAAGGATCAAATGAGTTCATATTTGTAAAGCAATTTGAAAGAGTGCCTAGCCCACAGTAAGTGCTACATAAGAGTTTGTTAAATGAATCTGCAAAAAAAAAAAAAATTACAAAAAGGTACCTAAGGGTCCGGGTGACTATATNCTTCCATCAAGACTAGTGAAGAATGGTTGTTTTTTCCATTCATCCCTACATTTCTTTTTTTAATAATGATAAACATGCAACTTTTTTGTAGCTTTACAACAAATACCCAGATGCTGTGGCCACATGGCTAAACCCTGACCCATCTCAGAAGCAGAATCTCCTAGCCCCACAGGTATTTTTAAACTTCTCATAATTAAACTACAGTGATGAAACATAGCCACACNCAGGCCATTTGGGCTGCTCAGATGAATCCTGCCTGCCTGCTGGCAAACTGTGCTTAGGACATTGACTGATCTGCCATGTTGGCTTCTCTCTGTGTTAAGCCATCCACAGATGAGGCTGAAAAATAAAAACTGCTTTGGATTAAAAAGGTTAACTTTTGAATAAAAAAGCTAGGCATGTGTGATGCGCACTAACACGTGCCATTCCTTCTTCAGAATGCTGTGTCCTCTGAAGAAACCAATGACTTTAAACAAGAGGTAAGTTCTCATTTTCAATCAGAGGCCCATCATGCCTTGAAGAGATGAAAGAAGGCATTGCCTGGATTCTCTTCTGATGAAATTTCATTAGCAAGTTTTCCAGCTAATTGGCAGTCTAAAACTTGCTCATAAATAAAACATGTATTTACTAAATATCAGAAATACTAGGTTTCCTCGGATAAGTTTAGCATTACAGAAGATGTTTATTAATGCCTGTTATTTGAAACATTAATCTGCTTGCAATTTATTTAAGGTATTTGTAGATATCTAATATCTAATAAGCATCTAATTAATGCATATCAAAGCTAAGATTTTGCCTTTAGGAAAGTTTTCTTTCCTAATAAAATAGTTTATTTGACAACTATTCTTTTTATTAGGATCATTCATATATTTGCTAAGCAAAGAGTAAATTTATTTTCCTTAAGATTCAATTTGAATATACTAAGAATATTAAAGCAAGTTAGATAAATTACCCAATATATTTGTCAATTTGAAATTTGATAGACATTAGTTGTTTAATTCAATGGGCAGTTTTGAGCTGCAGTTTATACACACATGCATAACAGAGTCACCTTTCAATTATCCATGTTAATAGGAAAGTGGTTATAGATTTTAGTACACACATTAAAATATGGATACTCTTCTCTTTTGATAAATCTCATTTCAAATAAAAAAACCAGTCTCATAATTATGTATCTGTATCTATTACATCATTGAATTTAGTAAATAATGTTTAATATGTATAAGGAAAAACAATGTTATTGACATGAAGATTATACTCACATATTTGGCTTGAAAATATCTATAAAAATAATTTCTGTTGCAAAGTAAGAAATGTTCTTCAGAATGTTATTAATCCCTGTGTTAAAAGAGAAATTGGAAGATGCTCACTTTAGCTCCTAAAAGCCATGGTATGTACTGTGAATGCAAAGATTCTGAAACTAAATAAAAAGAAAGATAGTAAAAGACTAATGTGCTATAAAGGCTAAGGGAAAATAAAAACCCATATATTAATTTTCCCGGCCATCTTAATTTTCAGACCCTTCCAAGTAAGTCCAACGAAAGCCATGACCACATGGATGATATGGATGATGAAGATGATGATGACCATGTGGACAGCCAGGACTCCATTGACTCGAACGACTCTGATGATGTAGATGACACTGATGATTCTCACCAGTCTGATGAGTCTCACCATTCTGATGAATCTGATGAACTGGTCACTGATTTTCCCACGGACCTGCCAGCAACCGAAGTTTTCACTCCAGTTGTCCCCACAGTAGACACATATGATGGCCGAGGTGATAGTGTGGTTTATGGACTGAGGTCAAAATCTAAGAAGTTTCGCAGACCTGACATCCAGGTAAATCCTTTAACAGACACACCTGATGGTTCTGACTAGCGCTCAAGTCTAGGAAACCACAGTTTGNATATTCATTCATTCATTCATCCATTCATTCATCCATTCAGCAAGAATTCATTCATATTCTACTTTATGACCATTGAATACAATCTTTTTCTGCTTGGCGGTTTTGTAAGTCTACATAATTCTCTCTAGATTTGATTCTCAAACACAATTCTACTTTTTGAAATCCTGGATCACTTATTTTCAGATTAAAATAAATGGAAAACACCAATTATTTAAAAAAAATAATGGTCATGTTTTGAAGTTAAATACCTAAGAGGAATTGTAGTTGCAAATTACACTGAATCCTTAGTCACAGAGAATCTGGATTTGACATAGGGTTGCCGTTTACTATTCTCTTTACTTTTTAACTAACAATTCACTTCCTCTTTATGTAGGTTTCAATATAATGAAACCTACCTCATAGGTTTCATTACATATGTAAGTGATGTAGTTATTAAACTAAATGAGATGACATATGTGAAAGGCCTTGGTAAAGTACTATACAAAGTAACATGCTAGTATTATTTCAGCCAGATTTAGACAATTTTTAGTATAAGATGACCTAAAAGCTAGAGAGTGGAAAAGGATTACCATATTCCCATCCCTAGCCGTTCATATAATTATTCTTCATTTGTGCCGTGATTCAGTACCCTGATGCTACAGACGAGGACATCACCTCACACATGGAAAGCGAGGAGTTGAATGGTGCATACAAGGCCATCCCCGTTGCCCAGGACCTGAACGCGCCTTCTGATTGGGACAGCCGTGGGAAGGACAGTTATGAAACGAGTCAGCTGGATGACCAGAGTGCTGAAACCCACAGCCACAAGCAGTCCAGATTATATAAGCGGAAAGCTAATGATGAGAGCAATGAGCATTCCGATGTGATTGATAGTCAGGAACTTTCCAAAGTCAGCCGTGAATTCCACAGCCATGAATTTCACAGCCATGAAGATATGCTGGTTGTAGACCCCAAAAGTAAGGAAGAAGATAAACACCTGAAATTTCGTATTTCTCATGAATTAGATAGTGCATCTTCTGAGGTCAATTAAAAGGAGAAAAAATACAATTTCTCACTTTGCATTTAGTCAAAAGAAAAAATGCTTTATAGCAAAATGAAAGAGAACATGAAATGCTTCTTTCTCAGTTTATTGGTTGAATGTGTATCTATTTGAGTCTGGAAATAACTAATGTGTTTGATAATTAGTTTAGTTTGTGGCTTCATGGAAACTCCCTGTAAACTAAAAGCTTCAGGGTTATGTCTATGTTCATTCTATAGAAGAAATGCAAACTATCACTGTATTTTAATATTTGTTATTCTCTCATGAATAGAAATTTATGTAGAAGCAAACAAAATACTTTTACCCACTTAAAAAGAGAATATAACATTTTATGTCACTATAATCTTTTGTTTTTTAAGTTAGTGTATATTTTGTTGTGATTATCTTTTTGTGGTGTGAATAAATCTTTTATGTTGAATGTAATAAGAATTTGGTGGTGTCAATTGCTTATTTGTTTTCCCACGGTTGTCCAGCAATTAATAAAACATAACCTTTTTTACTGCCTATATAATGTTTTTAAAGGTTTATTTTGGTTTCAATTGATACATAATAAGTGTACATATTTATGGGGTACGGTGTGATGTTTTGTTACATATATACATTGTATAATTATCAAAGGGTAATTATCATATCCATCACCTGAAACACTTGTCATTTATTTGTGCTGAGAACATTCAATCCTCTTTTCTAGCTATTTTGAAGTATACAATACATTATTATTGACTATAGCCAAGCTACTTTGCAATAGAATACTAGAATTTATTCCTCCTAGCTAACTGTAACTTTGTACCCATTGACTAACCTCCCCTCATCCACCTTCCCACTCTCCCAGCCGCTGGTAATCACTATTCTACTCTCTACTTCTATGAGGTCAACTTTTCTAGATNCCACATATGAGTGAGATCATGCAGTACTCTTCCTTCTGTGCTTGGCTTATTTAACTTAACATCCTCTACCTTCGCCTATGTTGTCAAAAATACCAAGAGAAAACATGCACAAACTATACATCTAACAAGGAATTAAAATCCAGAATACATAAGGAACTCAAACAACTTAATATCAAAAAAAAAAGAAAAAAAAAGACAACTCAAATAATCCAATTTAAAATGGGCACAAATCTGAATAGACATTTCTCAAAAGAAGACATGCAAATGGCCAACAGGTATACAGAAAAATGCTCAACATCACTAATCACCAGGAAAATGCAAATCACAACCACAATGAGATATCATCCCACCCAAGCTAAAATGGCTTNTATCAAAGAGACAAAAAATAACAGACACAGGCCAGGATTCGGGGAAAGAAGGACACTCGTACNCTGGTGAGAACTGTAAATTAGTACAGCCACTATGAAAAACTGTATGGAGACTTCTCAAAAAAACAAAAATAGAACTACCATATTATTTAGCAATCCCAC 13 | CACCTTGACACATAGGCCACTTCCTGAGCCTGGACCCAGTCTCAGAGCTGGGGAACTGGCCCAATGCAAAAGGGTCGGGAGCATCTGCAACAGAGACTGAGCTCTATCAGCTTCGGTGACATAGCCTCCATTCACGCTCCCCAACTCAGCAGAGAGAGCACACCATCAGACTTCTAAGACTTAGTAGCCAAGAAGTGTTGAATTAAACTCTCTGAGACCTCTCTTTAGTCTGACCCTGGCAGCCTCAGTCTCCCAGAGCCTGTGGGAACTCGGCAGCCGAGAGGCAGAAGGCTGGGCGACGTCCGGAGAAGAAGAAACGGGGGAAGAACTTTTCTCTTACGATCTGGCTTTACTCTCACGCGCACAGCCGAGTCCCTGGGGACCCAGCAGAGGTCCGAAGCGGAGCGGGGCGGGGCGGGGCTACGGAAGCTGGCGAGGCCGAGCCCCTCCTAGTGGTTCCGGACCTTGCTCCCTGAACACTCGGAGGTGGCGGTGGATCTTACTCCTTCCAGCCAGTGAGGATCCAGCAACCTGCTCCGTGCCTCCCGCGCCTGTTGGTTGGAAGTGACGACCTTGAAGATCGGCCGGTTGGAAGTGACGACCTTGAAGATCGGCGGGCGCAGCGGGGCCGAGGGGGCGGGTCTGGCGCTAGGTCCAGCCCCTGCGTGCCGGGAACCCCAGAGGAGGTCGCAGTTCAGCCCAGCTGAGGCCTGTCTGCAGAATCGACACCAACCAGCATCATGTCCATGACACTGGGGTACTGGGACATCCGCGGGGTGAGTGAGGGTCCGCTGCACTGTGGGACCGGGCGCGTGGGCGGGAAGTGCCGAGCGGCTGGGGACCGGCTCTAGGGACGGTTCCCTCCTTAGGGCTATCTCTCACAGGAGGGCCTGTGCATGCCTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGTGCGTGCGCCGGGGTGGGGGGGGGGTGCAGTGCAGTGTAGACTAGGGGCTCACCTGGTGCAGAGAAAGTCACCAAGTCAGGGACCCTCCATCTCTGACACGACCTGCGGGCCATCTCTTCCAGCTGGCCCACGCCATGCGCCTGCTCCTGGAATACACAGACTCAAGCTACGAGGAAAAGAAGTATACGATGGGGGACGGTAATGACACCCTTGTGTCCGGGCTCTGCCCACTCACGCTGAGTTGGCACCAAGCAACCCATGGTGGCCACCTGTGGCTACCTCTGCAGGCCTCCCCTGCTGGAGCTGCAGGCTGTCCCTTCCCTGAGCCCCGGTGAGGGAGTCCTGTGGCCTTGCAAGGCAGAATGCTGGGGCGGGATGCTGGGCCCCCTGTTTAATTGGGTTGGGTGTCCCTCAGAGCTTCCCTAAACCCTGGAAGCCTTAGCCGTGTGGGGTCCAGAGCCCTCAGCGGGATTCTTTGTCCCTGAACCCTGGGATGTGGGACTGAGTGGTCAGATTCTAGATCCACCTGTCTCAGGGATCTTGCCACTGGTTCCTTGGGAGGGTCCCCGGGAAGGAGGGCTGGGCTCTGGGGAGGTTTGTTTTCACTTCTTCTTCCCCACGGCAGCTCCTGACTATGACAGAAGCCAGTGGCTGAATGAAAAATTCAAGCTGGGCCTGGACTTTCCCAATGTAGGTGCAGGGGAAGGGGCGGTTTTGGGGGAAAGTGCGACGTGTCTCTGACTGCATCTCCTCTCCCCAGATTAGAGGTGTTCGGATCAGGAGTCTTCTGCCCAATTCCTCTCACTCCTGGTTGTCTACACAGCCCCTGCATGATGTTCTGTGTCCCAGCTCATTTGTTCATGTGACAGTATTTCTATGTCAGGCCTGCCATGAGCGGGCACAGTGAGTGCCTGGTCTCCCCTCTGCCCTTGCATATGGGAAGGGGATGCTGGGGAGCCTGCTGGCCCCAACTGAGCTTCCCCGGTTTCCCATCTATCCAGCTGCCCTACTTGATTGATGGGGCTCACAAGATCACCCAGAGCAACGCCATCCTGTGCTACATTGCCCGCAAGCACAACCTGTGTGAGTGTGGTTGGCTGCAGTGTGTGGGGGGAAGGTGGCATCCTCCTTGGCTGGATTGGGGTGCTATGCTCAGAGTGAGTCTGTGTTTTGTGGGTGGCAGGTGGGGAGACAGAAGAGGAGAAGATTCGTGTGGACATTTTGGAGAACCAGGCTATGGACGTCTCCAATCAGCTGGCCAGAGTCTGCTACAGCCCTGACTTTGTGAGTCCCTCCCTGGTCTGGACCAGAAGCCAGGCTTGTATTCCCATCTACTCTGGTCCTATTCACAATTTGAACTCCTCACTGCTATTGATCCTCTGAGGGTTCCCTGTACTGTAGCAGAGTGACTGTCATATCATTAAACTTATAAAATAAAAACTTGAAATCAGTCCCCACCAATCATAGGAAGTCCTATGAAAGCTAGCAATTCAGTTCCTAGACAATAAAGTCATGCGTTCAGAATTCCCTTCACCTCTGACCCCTGACCTCTGCCACGGGCCATCTAACCCAGCTGGTTCATGCCATCTGCCTGTTCGGGGAATACGCAGACTCACACTATGGGGTAAAGAAGTATGTAGTGGGATGTAATAGCACCCTCCTCTGTGGAATTCCGTGCTATTCTTTTCCTAGTGCTTCTCCTTGACACGCACAGGGATGAATGCATTTTCCTAACAGGCAGCTCAGGGGCGGCCAGAGGGCCTTTGTTCCTCTGTCTCCTTCCATGCAGCCTCTCAAAATCTCATCTCTCCAGAAACTACTCAATGTCCATTGTATTATTCTGCCACTGCACTAGGAGGAACTTTCAACTTCTTTCTCTGAGCTCCTTTAGTTCTTTGTATCCTTGATTTTGCTCGTGTCTGGGTCCAGAGCCTGCCAGGTACTCAGGTGCTCCTGGGCTGACCCAGAGGAGGGTGGTTGGGAGGTCAGTGGGGACAGATTCAGGGATAGTGTTGCATTCCTCTCTGCCTTCCCATCACCACAAAAGCCTCCAGCTACCCATTTGGAGTGTAATAAATGCTGGTATGTCCAGCTGAAGCCAGTTCCAGCTGTGGGGAAGATGGCTGCTTGCTCGTGGCCAGCTGGGGCCATACACAGCCCTGGGGAGGCCACATCTGTGCAGGGAGCTTGTGTCTGAGGGTGGTGACAGCTGTTTTCTGCCTCAGGAGAAACTGAAGCCAGAATACTTGGAGGAACTTCCTACAATGATGCAGCACTTCTCACAGTTCCTGGGGAAGAGGCCATGGTTTGTTGGAGACAAGGTAATGGGGGCATGTGATGAGGACACTAGAGATTTGCCATACATCCTATGTTACAGAGATTCCAGCCCACACATTCTTGGCCTTCTGCAGATCACCTTTGTAGATTTCCTCGCCTATGATGTCCTTGACCTCCACCGTATATTTGAGCCCAACTGCTTGGACGCCTTCCCAAATCTGAAGGACTTCATCTCCCGCTTTGAGGTGATGCCCCCATCCTCCTTTCTCTTTGATGCCCCTTGTTCCGTTACCTCCTTTCAGATGCTTTCCCAGTCCTGGATCTGCATAAAGAATAACTTGCATTTATTGAGTGCTGGCTTCATGCCAGGAACCTTGCCCAGCACATTATACCTATCGTGTGGAATTTGAAATTTCCAACATTCCTACAGGGTGACAGAATTATCTTGCCCATTTAGAGATAAGAAAACTTTGAATGAGAGGGTCAGTCCTTTGTTCTGGGTCCCAGAGCCAGTGGAGGCTGTGCTGGGCTCCCTGTGAGCATCTGGATCTATGGGTGGCAGTCAGGGCTCTCCCTTTTGTGACAAAAGAAAGAAGCCTCAGGCTCATCCAGCCTGGATTTCACAGCCCAGGGCACTTTGGAAGAGGCAGAGAACTTTAGGAGCATGGATGCAGCTGGCAATAGTAGGACTGACACACGGTGGCATTGACGTCGAGTACGAAACCCACAGGCAGTATTCATAGCTACTCCCAGAAGCTTTGCACGATCAGACCCCCACGTGGGGAATCCTGAGAGCCAGAGCTGTGGCCAGAGCTGGATTAGGGTACATATGTGGGTGCCCCTGTTGAAGGAGTGTATGTTGAAGTGCTCTGTGCTGGGGCACTCTCCTTCTTTATCTTTTTTCCTCTCTTTTTTCCCTCCAGTGTTCCAAGTGTTCCCCCTGTGAGATGAGTAGCACACTGATTTTACTGCTATTCACCGACCTTCTCCTCTGCATGAGGCAGGGTGTGAGGCACAGTGGGAGTTGCATAGATGACTGCCCCATCCTGGAAATGAGTGCAGTGAGAGGCCTGCAGGCAGAGCAGCCTGTGAGGTGTGTGGCACCACCTGGGTACCAGGCCTGGGGCCTGCCCCTCACTCATGGGGAACCATCCCTCACCCGTGCTGAATTTGTTTGAGAGCAGCAAATCCTACTTTTAGTACAGATGTGAGAATTTGAGGCATTAGTCCAACAAGTTTTTCAGCCTAGAATTTGTTTTCCTTTCCCACTACCCATCAAGGGATCTGGTTACTCAGCTAGTTCCCATCAGCTCTGGCTGTGGTCTCGGCTGAGTGGCCTTGGGGTTATGTAAGAGGTAGTGGGAGGGGAAGAGAGCTGAGGGCTGCAGCATATGGTCCACCTGGGCTTGGCCTTTGGGAATAGGCAGCCCTGGCTCTCTCTGAATCCTTAGAAATTACACGGCTATTTGATCCTGGAAAGATCGTGCAGAGCACACCTGAGTGTCATACAGCCTGGTCTGAGGTAGTGGGGTTGGAGATGAGGTGGGTTGGGGCACAGTGGTGTTTAGCTCAGGTACCAGGTGGGGAGGTTTAGACTTTCTGCTTTAAAAGGAATGATTAGAGCCTGGTCTGGCGTTTCTTTTGCTGGTCCAACACACCTTGACCACTTTCATCCAGGTTTTGCCAGGTCCTTGGGTGAGATCTGGGCTCTCTTCCAGGCTGCACAGACATTTTCAGAGGTCCCCTCTGTGTGTGCAAACCTAGGCAAGCCAGGTGCCTCCCTGTGAAACAGGAGAATGTTGTGTAGTCAGAGAGTGACAGGACCTCCTGAGGGATTTGGGGGAGGATGGGGATTTGACAGAAAGAGGCCAGAACTGGAGAGAGACAGAACCAGTCTACGTTGCAGCTCTGTCCCCCTTAGTAGCTATTTGAGTGTGAGGAAGTTACTGAACTTCTGTTTCCCACATGAGAAATGGTGATAATAGATTCAGCCTTGCAGAGTAGTCGAGTGGGTTTTCTAAGCTTATGTTGTAATTTCTCTTGGGTACAGAGCACCCAGCACCGTGTAGAATCTTCATAAGTGTTAGCTGTTACTGTGGTACAACATTACTTAAAGGAAGTTGGAAGAGTTAACTCCGCAAATCTGGGGACCCTAAGAGGCTGTGTGATGCCTCAGCACTTGAGCCCACGTGGAAAGGCTGTGGCCAGGGCCCTGACCTGCTGTGTCTGCAGTGGGGTTGTCCCAGCCCTCATGGGCAGCTGACCTTGAGTTCTGGCCTTATTTTCCCCCCTCTCAGGGCTTGGAGAAGATCTCTGCCTACATGAAGTCCAGCCGCTTCCTCCCAAAACCTCTGTACACAAGGGTGGCTGTCTGGGGCAACAAGTAATGCCTTGAAGGCCAGGAGGTGGGAGTGAGGAGCCCATACTCAGCCTGCTGCCCAGGCTGTGCAGCGCAGCTGGACTCTGCATCCCAGCACCTGCCTCCTCGTTCCTTTCTCCTGTTTATTCCCATCTTTACCCCCAAGACTTTATTGGGCCTCTTCACTTCCCCTAAACCCCTGTCCCATGCAGGCCCTTTGAAGCCTCAGCTACCCACTTTCCTTCATGAACATCCCCCTCCCAACACTACCCTTCCCTGCACTAAAGCCAGCCTGACCTTCCTTCCTGTTAGTGGTTGTATCTGCTTTGAAGGGCCTACCTGGCCCCTCGCCTGTGGAGCTCAGCCCTGAGCTGTCCCCGTGTTGCATGACAGCATTGACTGGTTTACAGGCCCTGCTCCTGCAGCATGGCCCCTGCCTTAGGCCTACCTGATCAAAATAAAGCCTCAGCCACATTTGCTATAGTCTTGTCTTATT 14 | AATTCTTCGTAAACTTAGTAATGTGTGGGTATGACACAGCACATTTACTCAGGCATGACTTTGTGAAATTTTTATTAATTCACTTTTGAATGTCACTCACGATCGTGGTCCGTGTGCAGATGAAAAAAAAAAACACCGGACTGGGGGTGATCTCAATGTCATTCTCTTCGAATCCTTTCTTTTCTCCTTCTGAAACCTATTGAAAGAGAAAGACAGACGTCCCACCTTTTTCACATCTCGTCCAATGGGGTTTGACAAGATACCGAGGGGATTGGAGAGAGGCACAGAGGAGAATGACATTGAAATGTTTTCTGGAAATCTCCCAACGACGCACTCGTCCCGGAAAAGTGACAACAGCAGCGTTGAATAGCTTTTCGGGTCCGTGTGCACTGGGCACAGTAATGACGATGTTTATCAAACCGAATACCAATGAAGAAAATATAGTGTAAATTATTTTCACACACTAGTAGGCATATTCAAATTCATACCCACGTGTTTATAGAATCACGTTAACTTTTCTAATCCGTCTTTGTAATAGAACGCCACTTGAAAACGAAACCAGTTGATAGTAAATGTTTATTTATTTAATCAGGCAATCCCCGTTTAAAACGAAAGTGTGAATGTGCATGTAAACTAGTATAATGGGCATGGTGATAATAAAACTCCATAACGGAGTTGTTGAAGGCAATTAATAAGGAAACAAATAAATAAAACGAAATATTTTTTGTAAATGCCATGTTCAGCTGCAATCTAATAAATCCTAGTCGATATGTGTACCAGATAACTAGTTAAAGTTATCTAATAGGCTATGCAAACAATAGGCAACTGTTCACTTGATGAGGTTATCCCGCTGGAGAATGAAATAAACCGTGTGCAACTCATTTAAATGAGAATAGGCTACGCGGATGTGCACGACTCTTGGTTTGGGTTTTGCACACGGCACCTAGCTCCCCGGGTGCTTTAAAAGCCGTGCTTGGGGAGCGAAAAATCAAACGCTGACATATCACAGTTGAGGCCGTGCAGAGATATTACATTGGTTTTGGAATAAGACGCCAGGTCAAAAACGGAAAAATGGATCCTTGTGAATGCTCCAAAAGTAAGTGCTCATATTGGTCAACAGTGAGAATCTAGGTTAGGTTAAGCATAGTTATTTAAGTAGAATTTTGGGGGAAATTACATAACCGCTAATTGTTACCTTTATTTTCTAACTCGTTTTCTTTGTAGCTGGATCTTGCAACTGTGGTGGATCCTGCAAGTGCTCTAACTGCGCATGCACCAGTTGTAAGAAAAGTGAGTTATTTTAAAATTACTCATCTGGTTATGAACTCCTACACCTGTGCGGGGAGTACTGACCAATTTTGGTTGGTGCCCCAGTTAACCACAAGATGATAGTTCCTTGCTCATCCCTAATCAACTTTTATTCTATTAGGTTGCTGCTCCTGCTGTCCTTCTGGTTGCAGCAAGTGTGCCTCAGGCTGCATATGCAAGGGCAAGACCTGTGATACCAGCTGCTGTCAGTGAGGCCTGGTTCATGGCCATGACATCTGACCTCCATGCAGTCCATTCCCTATTTAGTTGTTTGTATTGTTGAGTGTATTTTGTACTTTGTTTAATGTAAAGCAATAAATTGGGTTCAACTAAGGAATCTGAGATTTTGTACTTGGTTAATTGTAATGTCTGGGGTGGTGATCATATGACACTGTTAACGTCTGTTTTAAATGTCTTAACACCAGTGGGTCTCTTGGTAACCTAGCTACACATGATAATGTAATTTCCAGTATTACCACAGCAATAATGCCTTATCTACATTGGTCTAAATCATATGGCCATTCCTTAATCGTGTATCTTACACTAAGAGTGGTG 15 | CCATGGGTTGGCCAGCCTTGCCTTGACCAATAGCTTTGACAAGGCAACCTTGACCAATAGTCTTAGAGTATCGGGTGAGGCCCGGGGGCCGGTGGGTGGCTAGGGATGAAGAATAAAAGGAAGCACCCTCCATCAGTTCCACATACTCGCTCTGAAACGTCTGAGATTATCAATAAGCTCCTTGTCCAGACGCCATGAGTAATTTCACAGCTGAGGACAAGGCTGCTATCACTAGCCTGTGGGGCAAGGTGAATGTGGAAGATGCTGGGGGAGAAACCCTGGGAAGGTAGGCTCTGGTGACCAGGACGAGGGAGGGAAGGAAGGAACCTATGCCTGGCAAAAGTTCAGGCTGCCTCTCAGGATTTGTGGCACCTTCTGACTTTCAAACTGCTATTGTTCAATCTCACAGGCTCCTGGTTGTGTACCCATGGACCCAGAGGTTCTTCGACAGCTTTGGAAGCCTGTCCTCTCCCTCTGCCATCATGGGCAACCCCAAAGTCAAGGCGCATGGCGTGAAGGTGCTGACTTCCTTGGGAGAAGCTATAAAGAACCTTGATGATCTCAAGGGCACCTTTGGCCAGCTGAGTGAGCTGCACTGTGACAAGCTGCATGTGGATCCTGAGAACTTCAGGGTGAGTCCAGGAGATATTGGGGTTGGGAGTTAAGAAACTTCAGAGGACTACCTGGGCTGAGACCCAGTGGTAATGTTTTAGGGCCTACGGAGTGCCTCTAAAAATCGAGAGGGACAACTTTGGCTTCGAGAAAAGAGTTGTGGAAACGAGGACAATGACTTTTCTTTATTAGAGTCTGGTAGAAAGAACTTTATCTTTCCCTCATTTTGATTATCTATTTAAAACATCTATCTGAAAGCAGGACAAGTATGGCCATTAAAAAGATGCAGGCAGAGGCATATATTGGCTCCATCCAAGTGGAGAACTTTGGTGGCCAAACATATATTGCTAAGGCTATTCCTGTAATTAGCTGGACACATACAAAATGCTGCAAATGCTTCATTATAAACTTACATCCTATAATTCCAAATGGGGCAAAAGTGTTTCTGGGGGTGAGAAAGAATAGAAACATTTGTCCTGGAGTAGATTTTTTAGTCAGTTGCGAGTGTGTGTATGTATGTGTGTTTTTTTTGTGTGTGTGTGCGAGCATGTGTTTCTTTTAAAGTTTTCAGCCTACAAAATACAGGGTTTGTGGTAGCAAGAAGATAGCTAGATTTAAATTATGCCAGTGACTAATGCTGCAAGGGGAACAGCTACCTGCATTTAATGGGTAGGCAAAATCCAGGCTTTGAGGGAAGTTAACATAGGCTTGATTCCGGGTGGAAGGTGGGTGTGTAGTTATCCAGAGGCCAGGCTGGAGCCCTCTGTTCACTATGGGTTTATATTTGTTGTCCCCTTTCAACTCAACAGCTCCTGGGAAATGTGCTGGTGACTGTTTTGGCAATCCTTCATGGCAAAGAATTCACCCCTGAGGTGCAGGCTTCCTGGCAGAAGATGGTGGCTGGAGTGGCCAGTGCCTTGGCCTCCAGATACCACTGAAGCCCCTGCCCATGATGCAGAGCTTTCAAGGAGTGGCTTTATTCCGCAAGCAATAAAAATAATAAAACTATTCCGCTCAAAGATCACACGTGATTGTCGTCAGTTATTTTTTCCTTGTCCTTCCAAATATGCGAACCACAAAGGG 16 | GATCAGTTTTTTTTTTTAATCGCACTTATGCTTATTGTTTATTAGCGTTTCCTCCCATCTTTGCCTGAAGTCTCCGGGGACTGCCTTTGGGGGTCGGGTAAACTTGTCCCCTGCGAAGAGGGCCCAGGGTTGGGGTCTGGAAACTCCGAGGCTGCACTTGCCAGCGGCCTCTTAAGGCCACAGCGTCCCCGTGGTTTCTGGCTCGCAGCCCCCCGAGACCCAGGACTTGTCCAAGGTCAGGGCACCGCGGGTGCCCCCGGGCTGGGCCGCAGCAGACTGCGCTTCCCGCGCGCCTTCGCTTTGCACCAGGATCGCCCAGGAAATGCCTGCGGGCACCTTGAGGAAGGTCGGCGGCTCCGGGCCAGCTCGCACTGGCCGGGGTGGGGCGGGGGCCGTACCTGCTGCGGAAGCCCCGAAAGCTTTCGCCCGGCCCCTCGCCGCCGCCGCGGGGGCTGGCTGGACTAGGCGGGCAGGCTCGAGGATGCGGATGAACCCAAGCGTCCTCGAGTGCCCGGAGGCTCTCCGCCTCAGTTTCCCGCCCAGAGGCAAGGGCGTGCGAGGGGATCCAGATATCCAAGGACCTGAGGTTTCGGCCTCGAGGTCTTGGGCGGGGGACTGGGCAGGCTGCGCGGGGTCCCAGCGAGGGGACAGCTCGGGTGGGCGGCCAGGGTGTTGGGGGCTGCGGGCGGCGGACAAAGCGGCGGCACCACCCCGCGGCGCGGGCCAATGGAATGAATGGGCTATAAATAGCCGCCAATGGGCGGCCCGCGTTGTGCCCCTTAAGAGCCGCGGGAGCGCGGAGCGGCCGCTGTTCGCCTGCGTCGCTCCGGGAGCTGCCGACGGACGGAGCGCCCCCGCCCCCGCCCGGCCGCCCGGTGAGTGGGCCCGGGGGCCGGGGGCGTCCGCGCCCGGGCTAGGGGCGCTGCGAGCAAAGGGGGCGCGTCGCCTGGAGCGCGCGCCGGACCGGCCGGGGGTCCCCGGCGATGATGGCGCTCCCCGCGCGCGCTGCGGACCCCGCTGACCTTGGCCGCGTCCCGGGGGGCGCCGGGGGGCCCGGCGGCGGGGGCCTGAGTGGTACGCGGGAGCCCGGGAACCCCGGCGTGCCGGTCCCCTCTGACCCCGCGTCTCCCCGCAGCCCGCCGCCGCCATGCCCTTCTCCAACAGCCACAACGCACTGAAGCTGCGCTTCCCGGCCGAGGACGAGTTCCCCGACCTGAGCGCCCACAACAACCACATGGCCAAGGTGCTGACCCCCGAGCTGTACGCGGAGCTGCGCGCCAAGAGCACGCCGAGCGGCTTCACGCTGGACGACGTCATCCAGACAGGCGTGGACAACCCGGGTACGCGACCCCTCGGGGCCGGGGTCCCGGCCCCCCCTCCCCCCGCGCAGCCGCAGGGTCCTCAGCAGCGCGCTCGGGCCCGGCAGTGACGTCACTGTCCCCGTCCCGCGCCCCCTCCCCCAGGCCACCCGTACATCATGACCGTGGGCTGCGTGGCGGGCGACGAGGAGTCCTACGAAGTGTTCAAGGATCTCTTCGACCCCATCATCGAGGACCGGCACGGCGGCTACAAGCCCAGCGATGAGCACAAGACCGACCTCAACCCCGACAACCTGCAGGTGCGGGGCTGCGGGCGGGCCGGGCGGGCGGGGCCGGGGTCTTCGGGCGCTCACTCCCGTCTCGCCTCCCAGGGCGGCGACGACCTGGACCCCAACTACGTGCTGAGCTCGCGGGTGCGCACGGGCCGCAGCATCCGTGGCTTCTGCCTCCCCCCGCACTGCAGCCGCGGGGAGCGCCGAGCCATCGAGAAGCTCGCGGTGGAAGGTAGGGGCCGGGCGGGCCGAGGGGCGGCGGCGGCCGCGTCCCCCTCCCGGCGCGGTCCCCGCCCGCTTTTGTTTACGTCGCCCGGGAGCGGCAGCCGCCGTCGCGCTCTTATCTGCGCGCGCCCGGGTTCAGTTTCCCGGACCCACCGAGGGACGGAGGCCCAGCCCCCGCGCCCACAGCGGCCTGGGGCCCAGGGAGGGCGGGTCCTGGCGCGGGGTCACCGCCTGGGACCGTCGCCCGGGCCGTGAGGACTGGACGCCCGCAGATCCGGGCGGGTGGGGCCCTCTGACGTCCCCCGAGGTGGGGCACGGGGGCGGGCGGGTCCGCGCTGCGGGCTGGAGGGGCGGGCGCGGGAGCCCAGCGTCCTGAGCGCACCCCTCGCAGCCCTGTCCAGCCTGGACGGCGACCTGGCGGGCCGATACTACGCGCTCAAGAGCATGACGGAGGCGGAGCAGCAGCAGCTCATCGACGACCACTTCCTCTTCGACAAGCCCGTGTCGCCCCTGCTGCTGGCCTCGGGCATGGCCCGCGACTGGCCCGACGCCCGCGGTATCTGGTGCGTGTCCCTCTGCGCCCTCTCGCGGCGTCCTCCCTCCCCGCTACCTCCGCTTTCCCTCTCGCCCCCCTCGCGGGGGTGGGGCCCCTCGCGGCGAGGAGGAGGAGGAGGAGGAGGGAGGGGCCGGCCGCGCTCCGGGTCTGGGTTCCGTGCCGCGCCTCCTCCTGCGCCGGTGACCTTGGCCGAGCAGGTGCGTTAAGGGACTGGGCCCCGGCCCGTGGGGGCTCAGGACTCAGCAACACCTCCCCACCCCGAGACGTGAGGTGGGGGCGGGGCTCTCTGGCGCCTCTCCCCGACGGCCCTGGGAGCTGGAGCTCTTTGTTTTCTTTTCTCACTCCTCCGCCGCTGGGATTCTACCAGGGGCTGGTGACGCCAAAGCTTCTCCAGGGGCAGGGCTCCTACCCCCACTGTGGGGGGCGGGTCGGGCTGTCCTGGCGGTCCCTGGCCCCGCCCCACCTCGGGCCACAGCGCATGATGGCAGCTGGGGTTCTCCTGCTGTGAGGCGTCCCGGTTCCCCCGCCCGCCCCGTGTTGGCGGGTGGAGTCTTGGCAGCAGCCTCCACTCCTGGGCATGGCAGGGAGCAGCACCTCAGGGACTTGGGAAGTTCCTTTGGTCTGGGGGCGGCCTGGGGCTTTTTTCTGGGTATGCCCTGAGACCAGCCCTCCCGCAGGCACAATGACAATAAGACCTTCCTGGTGTGGGTCAACGAGGAGGACCACCTGCGGGTCATCTCCATGCAGAAGGGGGGCAACATGAAGGAGGTGTTCACCCGCTTCTGCACCGGCCTCACCCAGGTGCCAGGGACGGGGCAGGCCCAGACCCCAGGGCCCCAGCAGGGATGTGGGTGCCCCAGCATCAGTCCCCCCGGGGGATTTCCGGCACTGGGGAGTCTCAGGGCCTGTAGGGGTTTCAGGCAGGCCTTCTCCCTCATACCCTCTTCTCCGTCTGCAGATTGAAACTCTCTTCAAGTCTAAGGACTATGAGTTCATGTGGAACCCTCACCTGGGCTACATCCTCACCTGCCCATCCAACCTGGGCACCGGGCTGCGGGCAGGTGTGCATATCAAGCTGCCCAACCTGGGCAAGCATGAGAAGTTCTCGGAGGTGCTTAAGCGGCTGCGACTTCAGAAGCGAGGCACAGGTGAGCAGGGCAGGTGCTGCGGCTTCCCGTGGCCTTTGGGCAGCCCTGTTTCCTCCGCCCTGACTTGCTGTCTCCCCAGGCGGTGTGGACACGGCTGCGGTGGGCGGGGTCTTCGACGTCTCCAACGCTGACCGCCTGGGCTTCTCAGAGGTGGAGCTGGTGCAGATGGTGGTGGACGGAGTGAAGCTGCTCATCGAGATGGAACAGCGGCTGGAGCAGGGCCAGGCCATCGACGACCTCATGCCTGCCCAGAAATGAAGCCCGGCCCACACCCGACACCAGCCCTGCTGCTTCCTAACTTATTGCCTGGGCAGTGCCCACCATGCACCCCTGATGTTCGCCGTCTGGCGAGCCCTTAGCCTTGCTGTAGAGACTTCCGTCACCCTTGGTAGAGTTTATTTTTTTGATGGCTAAGATACTGCTGATGCTGAAATAAACTAGGGTTTTGGCCTGCCTGCGTCTGAGTGGTGCCTCTCCTTTCCCAGGGGGGAGGGGGAAGGGCAGCAGCCAGGCCCCAGGAGTCTTGAGTCCTGGGCCTGCTGTGGGCCTCGCCTTCTGTGAGATGGGACAAGAGCCAGGAGGTGGCCACTCTGTTCTGCCTGCCCTACCTAGTCCATGGGCCCCTTCCCTCGTGTCTATCGGGCTGTGCAGGCAGGAACATGGGAGAGAG 17 | GGGCCCGTGGCTGTTCTCTCCAAGGGACCATCTCGCCCCTCAGCCAAGTCGCCCGGAAAACGAGCGCTCGACCGCCTCTGCCCCGCTCTCGGTCTGCACACAGCAACGGTCTGGTCGCTCAGCCACTTCCTCCTTCCAGCCTCATCTGGTTCCCAGGCCGCTGGGGACTCCCAACGCCACTGTCCAAGACTCTAGGGTCAGCAAGCGCCCCGGGCGGAGAAGGGCGAGGACGAAGAGCGCCGGGCCGCGACCAGGAGCCCACCCGCGCCCTCCGACTGCAGACATGGGGAAGAGACGCGGGGACTCCAAAGTCGCTGGGTCTGCGCAGGTGTGTGCCGCGATCCTGTGAAGGTCAAGGCCTCCTGTGAGGGGGAGTCGTCCTGGAATGCGATGGTGAAGTGCTCCAGACCGGCCATAGGCCGGAAAGAGTGAGGAAGAAGAGAATGCAGGAGGCCTGCGATTTCTAAGGCGCGCGCGCACAGGGGTGCTGCAATTAGGATGGGGCAATGGGAGCTTGGAGAAGGGGTGCTAGCTAGGAGGAAAGGCGCGTGCGTGGAGGAACGGCGCGTGCGCGGAGGGGCGGTGTGTGTGTGTGTGTGTCAGAAGAGGCGGCGCGTGCGTAGAGGGGCGGTGAGAGCTAAGAGGGGCAGCGCGTGCGCAGAGGGGCGGTGTGACTTAGGACGGGGCGATGGCGGCTGAGAGGAGCTGCGCGTGCGCGAACATGTAACTGGTGGGATCTGCGGCGGCTCCCAGATGATGGTCGTCCTCCTGGGCGCGACGACCCTAGTGCTCGTCGCCGTGGCGCCATGGGTGTTGTCCGCAGCCGCAGGTGAGAGGCGGGGAGGAGAGTCTTGGCGCAGGGCGGGAGGTAGGGCACGCAGCTGGGCTACGGGGGCGGCGATGCTGTTGGGGGCGACAGACGCCCAGTCTGGGAAACCTTCGGTCCACTTTGCCGCGCCAAAGATTAAACCCGACCTGGGCTCGCAAATCAACCAGGAGAAAGTGGTGTTCTGGGTCCTCTCTTGCCGCTTGCCTGTGCCGTGTACGGTCCTCGGGAGCGCCGGGTCCACCCGTGAAATGGCGTGCAGAGCTTTGTGTCGAGTTTGATTCTTTCCGGGAAAGTACCGCGGCTCCGCTGGTCTGTTTGATAATAAACAAAACATTTCCCGAAATGCATTTCCTCAATCTGGTGAATAGGCGCCCAGTCCCACGGGGGAGTGAGCTAAGTGTGGCCAGGATTTCTCTGCCCTCAGGATTCATACAGGCCAATAAAAAATGACAGTCGGAGTGACTGAAGCATAATTGTCAGTTCTCGAGGTTTACTAAGCCTGCTTCAGGGCGCATCCGGGAAAAACGTGAGCCACAGACACGTCTGTGACTGGTTTTCCAGAGGTTTTCAGGAGGTGGGGCAGGAAGGCAGTAAGGCAAATAGTTCTGTGAGAATTTAGTTAGTGCCCAAGAAATCTGTATTTTAAGATACCATGAGTGTCTTGAAGAGAAAAAGAGAGTAAAGGGAGTCAGTTATGCAGATGCCTCTGGGTAGGTGGAGTCTTGACTTTGTTTTGCACCTGAGAAGATAAGCTTGTAATTGACATGGTCAGTGTGGAAGGCCTGAACTAGTTTTTCAGATTAACTTTGGAATGCCATTTGTTGAGAGGAGAGGTCCATTCACATTGTTGGGGGGCTTAGAATTTTATTTTTGGTTTACTTAACTACCTACTTTTTTCCCAAAGAAATAATCATGTTCAAAACTCAATGAAATGTTATCTCAATGAGATTGTAATGTTGCTCAGTCTTTCAGAAGTCATAAAAATAGTCATACTTTTTAAACTAGTAAATGCAATTCTAGGACCCAAGACTAAGAAAACTGTCCAAAATATGGGAAGACATTTTTATTTATACTTTTTTTTTTTTTTTTGAGACAGCCTGTTGCCCAGGCTGGTGTGCAGAGGCGTGATCTCAGCTCACTGCAACCTCTGCCTCCCAGGTTCAGGCGATTCTCCTGCCTCAGCCTCTTGAGTAGCTGGAATTACAGGTGCACGCCACCACATCCGGCTATTTTGTATTTCTAGTAGAGATGGGGTTTTGCCATGTTGGCCAGGCTGGTCTCGAACTCCTGACCTCAAACAATCCACTTCAGCCTCCCAAAGTGCTGGGATTACAGGTGTGAGCCACCACGCCCGATCTATTTATGTTTTAGACTTTAGTTTTAGGAACTAGACTTAGGTTGTAGACCTGAAGTTACAGTTGGCATCCCCTTGTTTATGGGAGACCAGCAAAGAATTGACTTATGAATGATCTGTCGGGGTAGCCCTTCGCAGATGGCTGAGTCTTTTTATCCTTCCTTGGGGATTTGGCTGAAGCATAATGCTAGTAACAGCCATTCATTTGGAAGAGGGTGTTGCAGTCACTTGGCCTCTGGGCTTAACTAACTTCCCTTTTGCGTAAGAAAGTTGGGAGAGGTCCTGAGATTTTTTTTTTTCTTTTACAAAAATAATAAAAGAAAAATACAAAGGCAGGGCGTCACCAGGCTAATTTGCTGAAATTCTTCATACTTACTTGGGATGCATGGGGGAATGGCAACTATTACAAGGTTGATAGAGAGTGAGAGGTAATTTTGTAGTGAGGAGGGTACCCAAAGAGAATCAGGGCTAGCATCCCAGTGCAGGAGTCCAGGTGGTCTGTGAGCCTGCAAGTGAGTTCAAAATACTTTACCTGTTGGCTTAGGAAACCATATACCTGTGTGGTACATGATATCCTATTTCTCAAACTTTTCCACAAATATGTAGTATACTTTTCCTAGGATGTGGGTACTAGGGTCCTGGTGCATCCCATAGTAATTTCTTTGAAGTCTTTTGTTTATGAAAAACTTGCATTAAACTCATGTTTGGTTTGATGTGAAAAAAGCTTTCCCAGAATTTTCATATAAAATTGACATTCCAGGAGGGTGTGCATTAAGAAATTAATTTAAAATTAGGTTAGCGGACAGGTGGCAAGATATAATTTATAGGCATTTATCATTTCTTAAGCTCTTAGCTGTGTGCCAGGCAGTAATCTAAGTGTTTTAAAGGTATAAACTCATTAAGCTTGCAGAGCAGTGTAGATACTGTTATGCTTAGTTAAGAGACAAGGAAACTGAGCAACGGAGAGATCAAGTAACTTGCCTGAGGCTGTATAGGCCAGTCCGTGGAGGAGTGGGAAGTCAAATCCTGAGTCTGGACTAATAGCCTTGGGGCTTAACCAGACTAGACTGTTTTCCCAAAGGCCAAACAATTTAAATTCCTGATTGTCCACTTGTATGTTAAGGGCCTAATTATCAGTATCTTTCAGTTAACTGTGAGCCCAAAAATATCTGAGACCGGTCTGAAATCAACTTAGAAAGTTTATTTTGCCAAGGTTAAGGATGCATTCATGACACAGCCTCAAGAGGTCCTGGCCACATGTGCCCAAGGTGGTCAAGGTCCAGCTTGCTTTTATACATTTTAGGGAGACATATCAATCAGTACATCTAAGATGTACATTTGATTGGTTCGATCTGGAAAGGCAGGACAACTCAAAGCAAGGCTTCCAGGTCATAGGTAGATTTAAAGATTTTCTGATTGGTAATTGGTTGAAATCAATGGAAAGGAATGTCTGGGATGTCCTAAGGGGTTGTGGAGACCAAAATTTTATCATGCAGATCAAGCTTGTCCAACCCACAGCCCACTGGCCGCGTGCAGCCCATGATGGCTTTGAATGCAGTCCAACACAAATTCGTAAACTTTCTTAAAACATGAGGGGTTTTTGTTTTGTTTGTTTTCTTTCTGTTTTTTTGTTTGTTTGTTTTTAGCTCATCAGATATTGTTAGTGTATTTTGTGTGTGGCCCAAGACAGTTGTTCTTCCAATGTGGCCCACGGAAGCAAAAAGAGTGGACACCCTTGATGCAGATGAGGCCTGCAGATAGCAGGCTTCAGAGAGAATAGATTGTAACTGTTTCTTGTGAAACTTAACGTCTGTGTTGTTGTTAATGGTGGTTAGCTTTTCTGAATTCCAGAAGAGAGGAGGGTATAATGAGGCATATCCAAACCTCACTTCGCATCATGGCCTGAAGTAGTTTTTCAGGTTAGCTTTGGAATGCCCTTGGTCAGGAGAAGGGGTCCATTCTGATGGTTGGGGGACTTAGAATTTTATTTTTGGTTTACGTAACTATCTACTTTTTCCCCAAAAAAAATCATGTTGAAAACTCAAGACCTTAAGTTTACAGCTCAAGCTGATCCTGAAAGTTATCTCAGTGAGATTGTAATGTTGCTCAGTCTTTCAGAAGTTGTATAAATGTACCTTTTAGCCTAGTAAATGCAATTCTAGGACTCTAGATTAAGAAAACTATCCAAAATATGGGAAGACATTTACTTACATATTTGTACAGATATCTATATTTGGATTTATGTCAGACTTAAAGATATAGTAAACCATTTTGGTTCGTGAAAATGAATGTGAAAGGTGAAAGCACCAAAATTATAAATGCATTATATATATATTAGATTAAATGTCCATTTATACATTTACATGTGGGGTATTAATTGTTAATATACTAATATAAACATTTTAATATACTAGTAAATTAATATATGGTATGTTAATGTTACATAACAATTTATGAAAAAATTATTAAAAGGAGATTGCCAATAATAATAGAGCAAAATCTGTGAAAACTAAAATCCTGTTTAATAACTTTATTTCCAAGCCCCTGTCCATTTATCAGTCAGTTATTTGTTGGTCTTCCAAATGCCAACATGCCTGTAACTTCAGGGTCTCCTTCTTTTAGCAGTAAAGGATTTTTTTTCTCCCTGAGGAAATCACTAGCTGTACCCTATAACATTTTCTATTCTTGTCTCAAGGCCCAAAATTACTAGAATTATAATATTCTGCACAAGATATTGTAAATACTACAAATGCCATCAGATCTTTTGTTAAACTCTGTAAACCCAGTTGCTACCCTTTGGCTGCATAGAATCTATAAATTCTAACAAATGGATGAGAACCAAGTTAAGAATTCTAGAGTGGGATAAGGGGATGTGATGTATGCTATTCAGGGATGAAGTTTTAGAGACTCCAAGTATGAAACAGAAAATTGAGGATGGGGAGACCTGATGGGTACCACATTAAGTTTAAAAAAAAAAAAGTGTTTTCTCAGCTGTCTCCCCTTTTGACCCCATACTATAAGATCTAACTGGAAAGAGCAAGAAGCTGTCTCAGTTAAGAAAGTTCTATACAAGAACCCCTGTGGTAGAACAAGTCTACAACAAGATAACATGATTGCCCCAAGGCAGAAGTAAAAGAAATATTGTAGGAACCATAAATGAATTTAAAAGCTGATCTTTTAAAAAATATATAACTTATCAAAGGTGAGAGATCAGTCCTTTATGATATTTAAGGAGTTCCTGTGAATGCACCATTATGCTGGATACTCTGAAAAATGCAAATCAAGTATGAAGCGATATAAATTCTGCCCTTAAGGAACTTGCAATCTAGTTGGAGATTTATGTTTAACACAAAGAAGCAGTTTTTACAAATACTTCTTTTGAGGATTCTGGAAAGATGGCAGAGTAGAAAGCACCAGGAATCTGTCTCCTCACCTAGACAAGAATTGTACTGGCAGAATCTGATGTAACTATTTTGGAACTCTGGAGTCTATTGCAGGCTTGCAACTTCCAGGGGACAGACTTAGATGGTAAATTGCAGTTAATTTTGGTCTATTTGAGCTCTTAGTACAGTAGCAGCTACCCATCTTCCACCTCTCAACCCTTAGCAGACAGCTGTGCACGTTATTAGAGCAATCTGCACACAACTTACAGGAATCAGGTGGGCAAAAAGAAACACACCATCCAGATATCTGGGATCTGTGCTCTTGATTGGTCATTGCTCCTTCTCGTCACAAAAGCGCAAAGAGATGGGCGGTTGTTGTTGTTACACCTTACTCATTGTTACAACCCCCTCCCCACTCACTCCCCTGCCCCATGGATTTAAAGGGCTAGAAATCTCCCTCTGCTTCATTTTTCTCTTTCACTTTTGGGAGCCGGATATTAAAGACTAGGACATTTAAAAACAACTGCATTTATGGGGAAAATTAGAAAGTCACTGTACATACCTAGGGAAAGGCTCAGGAGAGACCTTAAGTTTATAGCTCAAGCTGATCCTTGGCACAGGATTAACAACAATTACACAGCAATTAAACAAAGCAAACACACACACACACAATGTAGTCTGGGAGAGTGATGTTAGCAAGATGGCCAACTAGAAGCCCCTTCTGCTCATCCCCTCATAAGACAGCCAGAACAACAAATAAACAACTACATTTTAGCAAACTTAACTAAGAGTGCTAGAGTGCATCAAAGAAGTAACAGAAATCCTAGTGAGCAGAGAAAAGTGGGATGGCCACATGGAGAATGGGAGGAAATGCCAGGATTCCTAGGATCATCTGGGAACGAGGAGGAACTTCTTCCTATGGCAAGGAGATAAACAAGAAGATCCCAGCTACACCATGGGCACCAACAGATCTCACCACTGGGGTTCCTTAGAGTCCAGACAGCAACTAAGCCAAGCTGAGGAAGCTGCCTAGAGTCTGCACAGCTGTGTTCCCTCCAGAGAAGGAGCCAACACTGTGCTCCACCTGCTGTGGCCCACACAGCTACTGTGCCACTCCACCTTGGAACTGGAACTACTTCTGGAGTGTGTCTTGCTTCGGGGACTTGTAGCCATGGCTTCCTTTCATCTGAACCACGCCAGGCTGGTGGCTCAACATCCCTAAGCTAAACTTTAAGCAGCTGTTACACCCTTCCCTGTGGAGTCAAGCAGAGGTGGAACTACTCCACCTACTCCTACCCCACTGCCCTTTGGCTAGAGCTGAAGCAGTATCCTATTTCCTGGGAACACACTACCTTGGCCACCCAGAGCAGTCATGCACCCCTGTGCCTAAGCTGAAGTGGTATACGGCATTCCAGGGAAACAGGGCCTGAACCACCCAGAGCAGTCACACTCCCCGGGCCTCAGCTGAAGGAGCACATCACTCCCTGCAGAATCAGTGCCCTGGCCAAACCGAGCAGCTATGCATCCCAGGGCTGAGCTGATGTAGTATCCTATGTCTCAGGGAAACAGAGCAGTGGCTGAGCTGAGACACCCTGTTCTACAGGCCAAATAACTGTAGTACCCCGCTTCCCTGGAGCTGGACTAGTCCTCTAGAGCCTGAGCTGCTGAGACACTCTGAGGAGTGGAGTCATCACTGTGCTGTTCCCTACCCCCCATTCCCAGCCCAGACAACAGCTATGCTTCACCATTTTGTAGTACTTGCTGCTGCTGCTACACTTGGCCTCACAGTCTGGGGTACTGCTTATCCCTAGCTATTCCAAGATTTAGAGTCATGACTTCATGGTGCCTCATCCCTTGGGACCTGTGTTGCCACTGAGCCCTATTAGCTCATATTCCCAAATTAAAACCATACCCTGCTCCCCAGGCCCAAACCTCCAGAGAACCCCTTCTTTATAGTCAGGCCAGTGCTATGCCCTGACCCCCATAGGGGTAGAATCAAAGCTACAACCCATTCTCTGGGCCTAAGCTGCCAGGAAGCACCTCCAGGTCACAAATCCTGGCTCTGTGAGCAACTACGTCCAAGTCCTGCCACAGAGAGCAAACCCACCTCAGCAACCAAGTGTCTCAGTAGGTTTGTGAGATCCTGAGCCTAGGACCTTTGCCCAGTAGCCACTCTGAATACCTTCATCTGGAATCAAGAGCTGCTGCAGCTGCATATATATAGCCCCTGTCAGACCTGACACCAAGAGGTGTTGCCTTGGCTGAGTCTCCCCATTGTGGGGAAGACAAGAATAGGAGGATCCTAAAAGCCTTCAACACTGAGAACATTAACAACCTACACTACCACTGCCACAAACTTCTGCAGCCTAGGCCCCTGAGGCACCCATTTACTACTGACATTGAACACAGGTAAAGCAGCTGCTTTACCATACCACTGCATCTGTCAGGAAACAGTCACCACACCCTTCGAAACCAGCATACTGAAACCCAACTGCTAATAAAAGACTTTATCTTTGAAAGCCACTGTCTGTAAAGTTTGGAAGAGGTAATTATCCTATCAACACAAAGACACAAAAACATGAAAAAGCAAGGAAATATGACACCACCAAAGGAAAGTAAGAACTCTCTAATGGTGGCCCAATGAAAAGAAGATCAACAAATTGCTGGAAAAGGAATTCAAACTAATGATCTTAAGGAAACTCAACAAGATACAAGAAAATACAGATAGTTCAATGAATCAGGAAAACAATTCACAATACAAAAAATTCAACAAAAAAATTAAAACATGATGAAAAACAACCAAACAAATCCTACAGTTGAAGAATTCAATGAATTACATTTAAAAAATACAATAAAGAGCTTCAGTAACAGACTTGGTAAAGCAGAAGAAAGAATCTCTGAACTTGAAGATATACCATTTGATATTACTTAATTGTAGAAAAAACAAGTGAAACCCTACAAGACTTATGGGACATCATTAAAGGAACAAACGTTCATACTATGTAAGTTACAGAAAGAGGAGAAAAGGTAAGAGGCATATCAAACTATTTAATGAAATAATAGCTGAAAACTTCCCAAGTCTGGAGAGAGATACAGACATCCAGATCCAGAAAGCTCAATGATTCCCAAATAGATTTAACCCAAAAAGGTTCTCTCCAAAGCACATTATTATCTGTTGTCAAAAGTCAAAGACAGAGAAAGAATTCTAAAAATAGCAAGAGAAAGGCATCAAGTCACATTTAAGAAAATCCCCATTCAGCTAACAGCAGATTTCTTCACAGAAACCTTACAGTGCAGAAGAGGATGGGATGATATACTCAAACAGCCAAGAATGCTATGCCCAGCAAAACTATCCTTCAGGAATGAGGGAGAAATACAGTTTTTCCCAGACAAGCAAAAACTGAGGGAATTCATCACTGCTAGACCAGCCTTATGAGAAATGCTCCAGGGAGTCCTACATCTGGAAGTGAAAAGAGAGCAGTCAGTATCTTGAAAACATGGAAAAGTATAAAACTCTCTGATAGAGCAGATACACAAAGGAGAAAGAGAAAAGAATTAAACCTTATCAAACCATCAAACCACAATGATAAATAATAAGAGAGGAAGAAAGGGGCAAAGGATATTATTAGAAAACTTTAACAAAATGACAAATGTAAGGGCTCAAATATCAATAATAATCTTAAATGTAAATGGATTAAATTCCATACTTAAAGAGACTGGCGGAATATTTTTTTTTTTTTCTTTTTTTTTTTTTTGAGACGGAGTCTCGCTCTGTTGCCCAGGCTGGAGTGCAGTGGCGCGATCTCGGCTCACTGCAAGCTCCGCCTCCCGGGTTCACGCCATTCTCCTGCCTCAGCCTCCTGAGTAGCTGGGACTACAGGCGCCCGCTACCACGCCCGGCTAATTTTTTGTATTTTTAGTAGAGACGGGGTTTCACCGTGTTAGCCAGGATGGTCTCGATCTCCTGACCTCGTGATCCGCCCACCTCGGCCTCCCAAAGTGCGGAATATTTTTTAAATGACTCAATTATATGCTTTCTGTAAGAAACCCACTTCACCTATAAAGACACATATAAACTGAAATTGAAGGGATGGAAAAAGTTATTCCAAGCAAATGGAAACCAAAAGCTGTCAGGAATTGCTATACTTATGTCAGATTAAACAGACATTAAGTCAAAAACTGTAAAAACAGACAAAGAAGGTTATTATATAATGATAAAGGGACCAATTCAGCAAGAGGATATAACAATTCTAAACATACATGTACCCAACACCAGAGCACCCAGATATATGAAGTAAATATTACTATACGTAAAGGGAAAGATAGACTCCAATATCATAGTAGTTGGGGACTTCAGCACCCCACTCTCAGCTTCGGACAGATCAGCAAACTCCAAGTACAGTGAACTCAAAGAGACCACACCAAGAAACAGTCAAACTTTTGAAAGCCAAAGACAGAGAAGTGACTTGTCATACGCGAGGGATCTTTGATAACATGATCAGCAGATTTCTCACCTGATACTTTGGAGACCAGTGTATTCAAAGTGCTAAAAAAAACAAAACCAAAAAACTCAAAACCCTGTATATGCAAAATTGCCCTTCAAAAGCATAAGGAAATTAAGATGTTCTTAGATAGACAAAAGCTAAGGGAGTTCATTACCGCTAGAACTGCCCTGCAAGAAATGCTTAAGGAAGTCCTGAAAGGTGAAATGAAAGGGCACTAGACAGAGGGGACAGTGCAGATTCAGGCAGGTGCAATGGCTTCTGGGGAAGACCCAGCCAGTGGGCTATTGCCAGCATCCAGTCAGCTGCCACCTTCCCTGACCCCAGTGTCAAGTGATGCGCAGGGTGATCCAGGTGTGTGAGGGGCAGCTGGATGTCCAGACTGAGGGCACTGGTGCCATCAGTGGCTATCCTACCACTCAATTCATGACCCAGGTGGTGATCCAGGGTGATATCACCAGTTATGATGCAGTTAACACAGAGGGGAAAGCTGCTGAGATACACTATACTTTCCCACCCCTGCAGTGGGAGATGGGGCAGGGGGTACCACATCAGGGAGTACAGCTGCTGTTGTTACTACCCAGGGCTCAGAGGCACTGCTTGGGCAGGTGACTCTTCCTGGCACTGGTCAATTATTTGTGATGATGTCACCACAAGGAGTACTGCAGGGAGGAAGCCAGCACTTGATTGCCCCTAGGACTCAACCTTATTTATTTGGACGTAACACCATTGTAAGTCAAGAAGCATCTCTATCTATCTATGAACATACAATGTGAAATCAAATTGAGGCCATAAACAGTTGAACCTCATCATAAGAGTGACTCATCGGTGTCACTTCTAAGACCAAGAAAAATTCTATTTTTATGCAGAGACCATTTGTTTTTTAATTAAAAGACAACTCTATTTCAAAGAGGAAAAAAAATCAACTCTTTTTTCAGCTCTCTCAGATGCAGAAATGTAATTATCAGCATCCCTGTGCTGGGAGCAATCATTAGTTTTTTTAGATTTTTAAAATATACTTCATTATGTTTCACTGTATTCATTCTTTAATCAGGGATGTGAGGGATAGAATAACATTTAGAATATCTGTACAGTTTGTATATAATGTTCGTATTTCTTGTTGCTTTTATAGGTGGAAAAAATCTAAAATCTCCTCAAAAAGTAGAGGTCGACATCATAGATGACAACTTTATCCTGAGGTGGAACAGGAGCGATGAGTCTGTCGGGAATGTGACTTTTTCATTCGATTATCAAAAGTATGTGACTCTACTTACTGATTTGTCAGAATGACCTGAATAATTTTTACAAGTTTAACAACACCATAATTTTTAGATTTGGAAAGTGTTTGGTTTTTCTATTTTTTGGAAATGTTACGCCTATTTTACATAATATTTTTAACTTTGTTTCTGTAGAGACTTAGTCAAATACATCTTTGGGTGTTGCAGCAAAAAATTGGGGATGAGGGTGGTAGACAGCGTCTCTAACCCATAGCCATTCCTTCTTTCTTCTGGGTGTTCCAGCTTCTTTTTTTTTTTTTTTTTAATTATTATACTTTAAGTTTTAGGGTACATGTGCACAATGTGCAGGTTAGTTACGTATGTATACATGTGCCATGCTGGTGCGCTGCACCCACTAACTCGTCATCTAGCATTAGGTATATCTCCCAATGCTATCCCTCCCCCTCCCCCATCCCACAACAGGCCCAGAGTGTGATGTTCCCCTTCCTGTGTCCATGTGTTCTATTGTTCAGTTCCCACCTATGAGTGAGAATATGCGGTGTTTGGTTTTTTGTTCTTGCGATAGTTTACTGAGAATGATGATTTCCAATTTCATCCATGTCCCTACAAAGGACATGAACTCATCATTTTTTATGGCTGCATAGTATTCCATGGTGTATATGTGCCACATTTTCTTAATCCAGTCTATCATTGTTGGACATTTGGGTTGGTTCCAAGTCTTTGCTATTGTGAATAATGCCGCAATAAACATACGTGTGCATGTGTCTTTATAGCAGCATGATTTATAGTCCTTTGGGTATATACCCAGTAATGGGATGGCTGGGTCAAATGGTATTTCTAGTTCTAGATCCCTGAGGAATCGCCACACTGACTTCCACAATGGTTGAACTAGTTTACAGTCCCACCAACAGTGTAAAAGTGTTCCTATTTCTCCACATCCTCTCCAGCTCCAGCTTCTTTCAATATAAGTTGGGGTCTGAGCTAGGGTATATCTTGAAGATATGGCATTGTACTCCAAAAGGTCCATCGAAGACCTTGGAATAGGCCACCAGGTTTCCTGTGATCAGGCTTTCCTATTATCTCCATGATATACTATATTTTAATTTTAGGTACACTTTTTTTTTTTTTTTTTTTTGAGGTGGAGTCTTGCTGTGTTAACCAGGCTGGAGTGCAGTGGCACAATCTTGGCTCACTGCAACCTCCACTTCCCGGTTTCAAGCGATTCTCCTGCCTTAGCCTCTCGAGTAGCTGGGATTGCAAGCACATGCCACCATGTTTGACTAATTTTTTTATTTTTAGTAGAGATGGGGTTTCGCCATGTTGGCCAGGCTGATCTCAAACTTCTTACCTCAGGTGGTCTGCTCACCTCAGCCTCCCAAAGTGCTAGGATTACAGGCGTGAGCCACTGCCCTGGCCTAGATACACTTTGTAAATATATTGTTAACTGGGCATGGTGGCATGTGTCTGTGATCCCACCTACTTGGGAAGCTGAGGCAGAAGAATCGCTTGAACCCAGGAGACAGAGGTTGCTGTGAGCCAAGTTTGCACCACTGTACTCCAGCCTGGGAGACAGCAAGACTCCATCTCAAAAATAAATAAATAAATAAAATAAAATAAAAATCGATATATTGGACCTTGCATTTCTAAAGACTCAGTTTTTCTGGAGTGTTGATGTCTCTTCCTTAGTACTTTCTACTTAATTATTCAAGAGGAGAGGCAGGCAGAAGGAGGAATATAGAAGGGAACACAGATCAGGAAGTACAGTACTTTGCCTTCCGATTATGTGTTGGGGCCCCACCTGCCAACCATGTTCCCCTGTCCAAGAAAAAGCAGGCAATGAAGAAATAAGGCATTAGGCCCTCCGGAACCAGGAGCCCACCACTTCAGCCACAGCTGTGACACTATTCTCGAGTTGTAACTAAAACTGGCATATGAATCTCACAGCTTCAGTAATTGTGTATGCATATATAAACAAATACACACTGTATATATGCATATATACACTATATATACATACTGTATATATACATTACACTATATATAATACATACTGTATACATACATATACACACATTGTGTATACATACATATACACACATTGTGTATACATACATATACACACATTGTGTATACATACATATACACACATTGTGTATACATACATATACACACATTGTGTATACATACATATACACACTATATATACATATACACACTGTATATGTATATGTATATACACACACAAATTCATATATGACTTTTCTCAGAATTGATCATTTAAAATTTTTTATCTCTAGAGATTTTCATTAAATTGAACTTTGAGTTTGGTTACCAGTTTTGTTTTTTCCCTTAGTTTGGAATTTCCTTATGAACAACTATTTTAGGTAGAGAAGGAATTATTTCAGATACCCTTATTTAATGTTACTTGTATAAAGAAACTATTTGCAAAATATGCATCCAACAAGAGCTTAATATCCAAGGAACTCAAACAATCAACAACAAAACCCAAATCCATCAAAAGGTAGGCAAAAGATAGGAATAGATATTTTTCAAAAGAAAACATACAGTGGCCAACAAGTATGTGAAAAAATGGTCAACATCACTCTAATCATCAGAGAAATGCAAACGAAACCTGCCATGAGATATTGTCTCCCCGCAGTCAGAATGGCTGTTATTAAAAGTTAAAAAGGCTGGGCAAGGTGGCTCACACCTGTAATCCCAGCACTTTGGGAGGCCAAGGCAGGTGGATCACCTGAAGTCAGGAGTTCGAGACCAGCCTGACCAACATGGTGAAACCCCACCAGCCTGACCAACATGGTGAAACCCCATCTCTACTAAAAATACAAAAATTAGCCGGATGTGGTGGTGCGTGCCTGTAATCCCACCTACTCGGGAGGCTGAGGCAGGAGAATCGCTTGAACCCAGGAGGCACAGGTTGCAGTGAGCTGAAATCGTGCCCCTGCACTCCAGCCTGGGTGACAGCAAGACTTCATCTCAAAAAAAAAAAAAAAAACCCAACAAATATTGAATATATTTCATGCCAAACACTCTTCTGACTGCTTAGACTGCCTCAGTGAACAGGAGAGGCAAAGATGGCATGAAGTTATATTATGAAACGGATTTCATGAAGTAAATATTACATTAGTTACATATTCATATTTCATATTCTGTTCTGAGCTAATTATTGCATATGATAATAGTTTTTTTGTTGTGGGTTTTTTTTTTTGAGACGGAGTCTTGCTCTGTTGCCCAGGCTGGAGTGCAATGGCGCAATCTCGGCTCACCGCAACCTCCGCCTCCCGGGTTCAAGCAATTCTCCTGTCTCAGCCTCCCGAGTGCCTGGGATTACAGGCATGCACCCCCCACGCCCGGCTAATTTTGTATTTTTAGTAGAGACAGGATTTCTCCATGTTGATCGGGCTGATCTCGAACTCCTGATCTCAAGTGATCCACCCCCCTCGGCCTCCCAAAGTGCTGGGATTACAGGTGTGAGCCACCGAGCCCGGCCAATAATGATTTTTTTAAGAAAATATAAAAGTAGCTTCTGCTGCAATATCTTGATTAGATGTAAAACAGTTTTAATGGAGCATGCTTCAGCATCTCCTGAAATAGGAAAGACAGATGTAAACAGTGAGGTTGGGTTGAAATTATATTAAGTTTTAAATTTTTGATAAGGTTTTCTGTTTATAATGAGAGTTTCTGGATTTTTAGAAATAGATTCTGATGTGGAACCTTTTCAAGAATGTTTAAGGTATTTTTAATGCCAGCTCTAATCTCAGGCCTCAGATATGTAAAAGTGGAAGTGAAAACTGGCCAAGAATGAAGTATTTCATATGCTAGTGTATATTTTTGGTAATTTCTTAAAAATGTTTCCATTTTGAAAAACAAGGTAGACTTGTATTTGGTTCAGCAACAAAATTATTTTGGTATTATCTCTGGTTTCTAATATCTAAATCGTCTTTAAAATGGCATCTGTGATATTATTAAAAATAAATAAATCAGCTAATGAATTAGGCTTGACAAAAATGCCTTCCCAGAAGATAGTTTCTCTGCTACTTATGGTCAATGGGCTTAACATAGGTAAAAGTTCTCAAATCTGCTAAATTGGCCGGGCATGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCTGAGGTGGGCAGATCACCTGAGGTGAGGAGTTTAAGATCAGTCTAGCCAACATGGCAAAACCCCATCTCTACTAAAAAAAAAAATACAAAAATTAGCCAGACGTGGTGGCACACGCCTGTAATCACAGCTAGTTGAGAGGCTGAGGCAGGAGAATTGCTTGAACCTAGGAAGTGGAGGTTGCAGTGGGCCGAGATTGCACCACTGCACTCCAGCCTGGGCAACAGAGTAAGACTCTGTCTCAAAAAAAAAAAAAAAAAAAAAGAAATCTGCTAAGTTCGTTTCTATCCCTCACTTTCCCTGCAAGCTCTTCTTCCCCTTTCTGGGCAACATGTCCTTTTCTGCTTTAGGCACTCCATGCCCACTTTATTTTTCATGTTTGCCCCTTTTTTGAAAGGAAGAATCTAATATCACTTCAGCTTTCTGTTTGGCCAGTTCCACTTCCAAAAATTTATTTGTTTATGTAAACATTTTCAGTTTTGTGGTTTCTGATGATGTAATAGAAGAAATTACGGAGACAGGCAAGCAGAAGGGATGGTTTGCTTTTGGAGAGGGCAGAGGAAACCTTGAAACCATACTGATTCTGAGGTCTTTCTTAGGGAAGGTAAGTCTATTCATAGGAGGAGGTCAGAAGGGAATCATCAAATCCAATTCCCCAGTTTCTATTTAATTTTATTTTATTAGAGACAGGGTCTTGCTCGGTTGCTGAGGCTGGAGTGCAGTGATATGATCATAGCCTACTGCAGCCTGCAGCCTTGAACCCCTATGCTCAAATGACCCTCTCACCTCAGCCTACCCAGTAGCTAGGACTGTGGCATGTGCCACCATGCCCTGCTTTGCCTTTTTTTTTTTTATTTCTCATAGAGACAGGGTTTGCTATGTTGACCAGGCTCCAAACTTTCAATAAGGAAGATAAGATCCAGAAACACAAAATAGTTTACCAAAAGTCACACAGCTATTTTTAACAGAGCCAACATACTAAATCCACTTTTACCTTATGGGTCATTTATTTCTCTGCTTCCTGAAGCAACCACCCACAAAATTATATAAAGAACTGTATTTTAAAATTCAGTTTCATAAGTAATAACTTGGCTTATATGCATTGAAAAAGAGTGGAAGGGTGTATGCTAAAATGTTAATAGGACATTAGCTCAAGTAGAAGAAATAACTCTTAAACCAAAAATAGAAATAACTCTTAAACAAGAGTTATTAAGAGTTAAGAAATAACTCTTATACCAGTAAATAGAAAGTATTTGACACTTACATTTATACATTTGCTCACTCATTCATTTGTTTTTTTTACTTTAAAGAACTGGGATGGATAATTGGATAAAATTGTCTGGGTGTCAGAATATTACTAGTACCAAATGCAACTTTTCTTCACTCAAGCTGAATGTTTATGAAGAAATTAAATTGCGTATAAGAGCAGAAAAAGAAAACACTTCTTCATGGTATGAGGTTGACTCATTTACACCATTTCGCAAAGGTAAGAAAAAGTTGCTAGCTGAATTATATTCTTTAGTAAATATTACCAGAGCAGTTCACTTTCCAAGCCATTCATTTGCATGATGCAAAATCTAACATCTTTTAAAAAGAACAAAAATTCCCTTAAACCTATATCTTCTTCCTGCTATGGCTCCATTTGTCCTACTTTCCCTGTAGTAGTGGTTCTCAAAGAGTGATCCTCAAGGCCCTTTCAGGGGGCTGTAAAGACAAAGCTATATTTATGACAAATCTAAGACTTAGTTGCCTTTTTTATTTTTGTTCTTTCTTGTATTCACAGTGGAGTTTTCCAGAGGAGGCTGTTTGATGTGTGATGTGGTGATATGGTCACTGATTTAACATAGAATTCAATGTGAAATTCATCTGCCTTCTTTATTAATCCAAACATTCAAAAGATTTGGAAAAAAAATGTAAAACAGCACCACTCTGAAGTTTCTATGTTCCTTTTGGCAAATGTTTGTTACCATAAAATAGGTTTATCATTGTTATTTCTTTCTTTTTTTTTTTGACACAGAGTTTGTCTTGTGCCAGGCTGGAGTGCAATGGCACAATCACGGCTCACTACAGCCTCTGCCTCCTGGGTTCAAGTGACTCTCCCGCCTCAGCCTCCCGAGTACCTGGGATTACCAGCATGCATCACCATGCCTGGCCAATTTTGTATTTTAGTAGAGACAGGGTTTCTCCATGTTGGTCAGGCTGACCTCAAACTCCCAACCTCAGGTGATCTGCCCACCTCAACCTCCCAAAGTGCTGGGATTACAGGCGTGAGCCACCATGCCCAGTCCATTGTTATTTCTTAATGGATTAATTAGTTAAAATGGATTGAAAACTTTACCAGTTTTAATGTTTAATATGCTAATATAAAAATATACAGCCCACATAAATAATGGCTGTTTGGGATTCTCGATAATTCCTTTAAGAATGTAAAGGAGCTGAGTGTAGTGGCCCACACCTGTAATTCCAACACTTTGGGAGGCTGAGGTGGGAGGATCACTTGAGGCCAGAAGTTCAAGACCAACCTAGGCAACATAGTGAGACCCCATCTCTATAAAAAATATATAAAAATTAGCCAGGCATGGTGGTGCACACCTGTAGTCCCAGCTATTCAGGAAGCTGAAGAGGGAGGATCACTTGAGCCTGGGAGATCAAGGTTGCAGTGAGCTGTGTTTGTGCCACTGCACTCCAGCCTGAGCAACAGAGCTAGACCATATCTCAAAAAAAAGTGGGGATCCTGAGACCAAAAGGTTTGAGAACCACTGCCCTGTACCAAGAATGATCTGTACTCCCTTTCTATACTAATCTTCCAATTCCCTGTCAGCCCTCTCCATTCAAATTCTGTTCCTCCTCACTTAAAACCACTCTTTTTGGCCAGGCGCGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCAAGGCGGGCAGATAACGAGGTCAGGAGATCGAGACCATCCTGGCTAACACGGTGAAACCCTGTCTCTACTAAAAATACAAAAAAAAAAAAAAAAAAAACTAGCCGGGCATGGTGGCGGGAGCCTGTAGTCCCAGCTACTCGGGAGGCTGAGGCAGGAGAATGACATGAACCCGGGAGGCGGAGCTTGCAGTGAGCCGAGATCGTGCCACTGCACTCCAGCCTGGGCGACAGAGCGAGACTCCGTCTCAAAAAAAAAAAATAAATAAACCACTCTTCTCAAGGTCACAGCAGCCTCCACAATGCCAAGCAAATTCCCAGTCCTCTTCTGGCTTCATCCCTCTGTAGCATAGATGTGGTCATCACTCAGTTTTTCCTTTACTGGATCTCTGGGACACTGCTCTTTCCTGGTTCTCCTCCTGCTCATTGATCGCTTCATCTTCCCAACTTTTCAGTGTTAGACTGCTGCTGGGCTCAGTCATTGAACCTCTTCTCTTTCTGTATCACTCCACTGGTGATCTTACAGCTTTCTATCCTATCTGTATGCTCTTAACTCCCAGAAGTGGCAGGCACATATTAAGTGCTCAGAATTATTTGTTGAATGAAGGTTTTGGCATTGTATTAATAAAGTTCCATAGTAATTGTTTTGATTTTTTTGCAGCTCAGATTGGTCCTCCAGAAGTACATTTAGAAGCTGAAGATAAGGCAATAGTGATACACATCTCTCCTGGAACAAAAGATAGTGTTATGTGGGCTTTGGATGGTTTAAGCTTTACATATAGCTTACTTATCTGGAAAAACTCTTCAGGTGTAGAAGTAAGCATTATTTTTACCTCTGTTTAATCGATGTGAGAGAAAAATTAGGCGAATTAATCCTAAAATTTGACTTTATACTTTTTTAAAGAACCAACTTATATTTGTGTTATAGGAAAGGATTGAAAATATTTATTCCAGACATAAAATTTATAAACTCTCACCAGAGACTACTTATTGTCTAAAAGTTAAAGCAGCACTACTTACGTCATGGAAAATTGGTGTCTATAGTCCAGTACATTGTATAAAGACCACAGGTAAGGAAGATGTTTTGTTTTAGATTCAATAAATATATAAACAGATTGTCAATTTTGGCATCTTCCCCATATTGCTGAAGTTTACATGATAGGTCAATATATGTTAAAAACATTGTAACATTTACATAAGCAAAATAAATGTTACTTGGGATTTTTGTCTCAAATAGTAATGAAAATTAATTCTACTTAAAAGTTCAGGCTGGGCGTAGTGGCCCACGCCTGTAATCCCAGCACTTTGAGAGGCTGAGGTAGCTGGATCACTTGAAGCCAGAAGTTCGAGAACAGCCTCGCCAACATGGGAAAACCCCGTGTCTACTAAAAATAATTAGCTGGGCGTGGTGGCTCACGCCTGTAGTGGTAGCTACTTGGGAGGCTGAGGCACAAGAATCCCTTGAACCTGGGAGGTGGAAGTTGCAGTGAGCCAAGATCGCGCCACTGCACTCCAGTCGGGAGCAAGGGGGACAAAGAGTAAGGCTCCGTCTTAGAAAAAAAAAAAAGTTCAAATATTTTGTAATGACAAAACTTTTCATTTGTTCAGAATCCACATGAAGCAGGAGGTAGCTGAACTATGAGTTCTGCAAGTGGGAAGAAAAGGTGGGCAAGTAGTTGCTAGTAGACAAGTTATTGTTCAAGAAAGCATACCTTTGTAAGTGGAATGTTAAAATATGAAAGTATCCTGATACATTTAGTAACATCTTTCCAATAATTAAGGTCAAGGGCAGGAGCTGGGATTTGTTTATTTTAATTGTAAATTTCATATGCTTTTTTTTTTAATCAAACATTACGGAAGGGTTTAAAGTGAAGTCTTCTTCTCCCTTCTTATCCCCAATTCCATTCACTAGAGATAAGCATTGCTTAGCAGTTTGTGTATATCCTTTTCACAACTTTTTTCAGGAATTTAATGGTAAGGATATACCACAGCACCCACAGGTTTCCTTGGGTTTTGTTTTTTAAAAATTACAAAAATAAAAATCTTACATGAAGTATTTACAGCTTGCTTACTTAACCCAGTGTGTTGGGGATATTCTATATCACTCAATACAGATCTATTACGTTCTTCATTTGATCTTAGCCATCTATTGCATTCTTTCTTTTTTACTTATTTATTTATTTATTTATTTATTTATTTATTTTTGAGACAGAGTCTCACTCTCTTGCCCAGAATGGAGTGCAGTGGCTCAATCTCGGCTCACCGCAACCTCTGCCTCCCAGCTTCAAGCGATTCTCCTGCCTCAGCCTCCCGAGTAGCTGGGATTACAGGCGTGTGCCATCATGCCTGGCTAATTTTTGTATTTTTAGTAGAAATGGGGTTTCACCATGTTGGCCAGGCGCGTCTCGAACTCCTGACCTCAGGTGATCCATCCACCTCAGCCTCCCAAAGTTCTGGGATTACAGGTGTGAGCCACTGCGCCCGGCCTGTAGTCTTTCAAATGGCTGCATAGTATTACATAGTGTGAATACAAACCATATTTAACTATTACCTTATAATGATAAAATGCGAGCCTTTATCTTCTTGCCAGTTATCTCACTTGAGTAAAAATGTGTGCTTTTTTTTATCTGTTCTTTGGCTTCTAGTTGAAAATGAACTACCTCCACCAGAAAATATAGAAGTCAGTGTCCAAAATCAGAACTATGTTCTTAAATGGGATTATACATATGCAAACATGACCTTTCAAGTTCAGTGGCTCCAGTAAGTTCCATTCCATAAATTTCCTTTTGCCCAGTTTGTTTTGATTATGCTTCTTTTCGCTCTGCATCAGTCACCAGGTCCTTGCACACAGAATGACCGACTGGGAGGTGGGTACGATATATTGGAAACGTGAGAAATCTCATTTCTAACCCCAGTTCTGCCAGTAACTAACTGGATGACATTGAGCTAATCGCTTAACCTCCATGGGCCTCAATTTCTTCACTTGTAAAATAGATGGATTCTAATATCTGGGGTTCTTACTGGCTTAAGAAAAAAAAGAAAGTGTAACTAGTTGCATGTGTTATTTCCCCAATCTGGAAGACTCGACAGTTGACCCTGATCTTTTTCTAAGAACTCACTTCTTCCATGAGTCCTTAAAATGATCTCAGTCCACTCACTTGTTCAATTCAAAAAATTAGCCTTCCTATTTTCTTTATTACTTTAGTGGTTTTGACAAAATTTTGTAGTAGATACTTCGGTGGGAAAGAAAGTTGGAAAGAACTATGTTCTATGTGGTTGAGCAGAGGCTAGCTAAACATGGATGAAGTCCAGGCGCTGCATAAATGAAAGAGAACTGGCCTGGTGCAGTGGCGCATGCCTATCGTCCCAGCTACTCAGTGGGCTGAGGCAGGAGGATTACTTGAGGCCAGGAATTGAGGCTGCAGTGTTGTATGATCACACCTGCTAGTAGCCGCTGCACTGCAGCCTGGGCAACATAGTGAGACCCCCATCTCTAAGCATTAAAATTTTTAAAAAGCTGATAAAAGAGAACTGCATGTAGTTTATATTGATTGGAAAATTGTAGGAGATGAATAGAGAAAAGAGAAGAGGAAAATTAAGTAGAAGGAAAAATGGGTTATGGGGAGAAAAGAGATGGAAAGAAAGATATACATTGGTGGCAGAGGAGTAGAGAGAGCAAAGGCAAGTATAGCTAAGACAGGAAAGGAAAAGTCAGAAGAAACTGGAAAGAAACAGAAAAAATGAGGGAGAAGGGAAGTGTAAGTACCGCTATGATCAATTTCTATCTTTTAGTGTTAATTTTGAACCAAGGGTGACTGGTAGAATGCAAATGCATTTATGTGCATATGTGCCCCACAATGCATATATAACCTCACAAACCAATCAGGAAACTGTTCAGTAGTCTTTTGTGTATACCTCACTTTCAGAAGTGAATAAATAATAGGGTCACCAAATAGATAATGAGAGGTATTTCTGATAGCTGATCTCTAAGCTTCTTTTGGGTACTTACCATATTGTACAAAGCACTGAAGAAATGGAAAGAGTCAGCAGAATCAAACGTGGTTCAAAAATTGAAAGCAGTTAGCCAACATTGCAAAGTGTTGTGTGGTTTAGGACTAAAGAGTGGTATACAAATTATAAGGGTTGCAGAAATTGAAAATGTAAAGGTGAATAGGGGCTAAAGAGACCAAAGAAGCCATAAGGAAAGAGATAAGGTATGAACAAGGCCTTGATTGTTAATTCAGATTTTTTTTAAGTAGACAACTATTAGATGTTAGTTTTCTGTGTCTGTAACTAATTACCACAGACTTAGCAACTTAAACAGCTGTTTATTGTCTCAAAGTTTCTGTGAGTCAGGAGTCCAAGCGTGGCTTAGCTGGCTCTTCTGCTAAGCAGTCAAGGAGTCAGTCATTCATACAAGACTTGGGGGCCGCTCCCAAGCTCACATGTTGTTGGCAGAATTTATTTCTAGAGCTCATGGTGGCTCACTTCTTAGAGGCCATCAGGAAGGGAGAGTCTGACCTCTAGATCCTTTTTTTTTTTTTTTGAGACGGAGTCTCACTCTGTCACCCAGACTGGAGTGCAGTGACATGATCTCAGCTCACTGCAACCTCCGCGTCCTGGGTTCAAGTGATTCTTCTGCCTCAGCCTCCCAAGTAGCTGGGACTACAGGTGTGCACCACCACACCCAGCTAATTTTTGTAGTTTTAGTAGAAACGGGGTTTCACCGTATTGGCCAGGCTGGTCTCGAACTCCTGACTTCAGGTGATCCACCCGCCTCAGCCTCCCAAAGTTCTGGGATTATAGGCGTGAGGCACCGCGCTCAGCCATTTTTTTTGTATTTTTAGTAGAGACGGAGTTTCTCCATGTTTGCCAGGCTGTTCGCAAACTCCTGGCCCCAAGTGATCTGCCCACCTCAGCCTCCCAAAGTGCTGGGATTAGAGGCATGAGCCACCATGCCTGGCCTAGATCCTCTTTTAAGGGGTTCATCTGATTAGGTCAGGCCCACCCAGAATAGTCTCTCATTTGATTCAACTGATTTGGGACCTTAATTACATCTGTGAAATACCTTCTCTTCTGCCACTTAATGTAACCTAATTATGAGAGGAGGGCCTCCATCGTATTTACAGGTCCTGCCCATGCTCAAGAGGAGGGGATTATACAGGATGTGTACACCAGGGGGCAGGAATCTTGGGGGCCATCTCAGAATTTTGCCTTCTCCAGTGGGGAGGATGTCCTTCTAGAGTAGCAGAACATTTGGACACCAGGTGGCAATGGGAAGAAAGCTGAATAAGTAGAATGGGACAAGATTAGGGTCAACCTCAGGCTGTCCTGTAGGCTTTTGGGGATTTTGTGTTGGGGTGATAGTTAACCTGAGCTCTGGATTTGAGGAAGGTGCATGCGGCGACATGGTATGTGGGAGAGTGGACTAAGGAGACACTAAAGAGAGATAAGGAAACCAGTCAGGAGGCTATTAGAGTTCTGGGCTTGAACTGAGATGCTTTTAGCTGTTGGTTTCTGGGCAAGTTACTTAACCTCTTTAGTCTCGTACTTATACTTGCTCTTATAACCCCGCAGTGTGTCTCTATTTTAGCACTTAATCAGTGTCCATTGGTATGCTGGCGCATGTTTAGCAGCTGGCTTTCCAGAAAGAAAAAGTCCTATTTTGTAGTGTTTGCTGATTTTTATGATATAAATATTCCCACCATGGCCACTTTCAAGCCACCAGCCTGATGTCCCTGAATATGGAGTTGGGAACATATGCACAGTAGCACACCACTATCATATAGCTACAATAGATAAAGATAGCCCCAAGAGCTTAGAAAATAAAATGTAGTAAAATAATTAGGACAAGATGAATTTATTTATTACCTCTGTCTTTAAAACAATTTTTTATTTGCAAATTTATATAACTTAATTTTTAGTAATGGTTTTTCTTTAAAAACCAGTTTGTATTTTAGGAGGCCGAGGTAGGTGGATCACCTGAGGTCAGGAGTTCAAGACCAGCCTGGCCAACATGACGAAACCCCATCTCTACTAAAAATACAAAAATTAGGCAGGCCTGGTGGCGTGCACCTGTAATCCCAGCTACTCAGGGGGACAGAGGCAGGAGAATTGCTTGAACCCAGGAGGCAGAGGTTGCAGTGAGCCAAGATCCTACCACTCCACTCCAGCCTGGGTGACAGAGCGAGACTCGGTCTCAAAAAAAAAGCCAAAAAAAATAAACCAGCTTGCAGCATTCCTGGAAATTCTAACTAACAGATGTTCTTGCATATTGATATGAGCCACCTCCAGCAGAGCACAACATGACCACAGTCTGGAACAGTCTTTGGTTTTCTTTTATGTTAGATGCATATCTCTTCCATTGTTTGTGAGTTTCCTGAGTGTGGATACTATTTATTTCTGTAACCTTAGCCCCTAACATAGTGTCTGGCAATTGTAAATACTTAATAAATATCTAATGAATTTAAAAAATATTTGTCTTAAAAGCGCCTTTTTAAAAAGGAATCCTGGAAACCATTTGTATAAATGGAAACAAATACCTGACTGTGAAAATGTCAAAACTACCCAGTGTGTCTTTCCTCAAAACGTTTTCCAAAAAGGAATTTACCTTCTCCGCGTACAAGCATCTGATGGAAATAACACATCTTTTTGGTCTGAAGAGATAAAGTTTGATACTGAAATACAAGGTAAGGCAGTAGTTTTTACTGGAGATTGTAATTCTCTGGTGCAAGTTTTTAAAATTGTTTTTCTAATTGAACATTATTTCTTTACAAATTTTTTCTAGCTTTCCTACTTCCTCCAGTCTTTAACATTAGATCCCTTAGTGATTCATTCCATATCTATATCGGTGCTCCAAAACAGTCTGGAAACACGCCTGTGATCCAGGATTATCCACTGATTTATGAAATTATTTTTTGGGAAAACACTTCAAATGCTGAGGTAAAAAGACTGTATAGTATAATTTTGTAACTTAGAGTTATAATTATGATTTGGGTAAATAAAGCTTGAATGTAAAATTTGGGGGAAATTTTTAAACTTTATGTGGGCTGGATGCAGTGGCCTGTAATCCCAGCACTTCAGGAGGCCAAGGCGAGAGGATCACTTGAGCCTAAGGGTTTGAGACCAGCCTGGGCAACATAGGGAGACCCTGTCTCAATAAAAATTTTAAAAAATTAGCCTGGTGTGGTGGCGTGCACCTATATTCCCAGCTACTTGGGGTGGGAGGGTCACTTGAACCTGGGAGGTCAAGGCTGCAGTGAGCCATGATCGTGGCCACTGCACTCCAGCCTGGGTGACAGAGTGACTGACAGCTTGTCTTTAAAAAAAAAAAATGTGATTAACTCAGATATTAACAAAATGAAGATTATGAGCATTTTTCATGTTTTGCACTGTAGAGTTATGGGTGAGCTGCATCTGGGCCCCAGTTTGCTTTTAAAATACAGATTCCTGAGCCTATTGTTACTGAATCATTATCTCTGGGGATGGAACTCAGGAATTTGCATTTTTAACATGATTCCCATGTATTCATCTAAACCTGGGATTCTCAGCACTATTGACGTTTGGGCTGGATAGTTCCTTGGGAGGGGGCTGTCCAGTGCAGTGCAGGATGCTTGGCAACATTCTGGTTTCTGCCTACTAGATGCCAGTAGTGTTCCTTCCTAGTTGTGACAACCAAAAACATCTTCAGATATTGTCAAATGTCCCCTGGTGGCTCCTCCAAGGGGACAAAAATTGGTTCTTATGGGACAAAAGAATTTATGTAGTACAGTTGTTTGTTTTCCTCCAAAACCATTGGAAAGCATTCTTCCAAAGTTCAGCTTTGCCCAACAAAATCTTATTCCTTAGTATTTAATTTTATGATGGGGGAAGGATTAGGAAAAAATTGCCCAAAAAGTTGTTTAGTTGGGGAGGTAATGAAAAAAGGGTTGACAAACACTGGTCTAAACCCTAAAATTCAGATACCACTGACAAAGATAATATATACCGTCAGATAATATACGTGTTTCCCAGATCACTTCCCCCTCGTGGACTTGTAGTCAAGAATCGACCTTTAAAACTCCTGTCCAGTCAGGCTGGTAAATTCTTTAACTTCACCTCATTTTCTATTGGAAATCTAAGCAAATTCCATTGATTTGGCTGCTTCCCTTTTTAATTGTCTGACAACCCTGTAACCATAGCTTAATGTAGCCCATTGAGAATTATGGTCGGTTTTCAGATGTCTGTAGATCAGACAAACCTAAATTTCTATCTCACTGCTAAACTGTGTAACCTTACGTACGCAGGGTGCTTTACCTCTTGGAGACTTTGCTTCCTCTTCTCTGAAGTGGTGGTAATCATAACAACTAAATTTTTCAAAAGGATGTTTATAAGGTTTAAAAGGAAGTAACAAATATGAAAATACCTAGCACATTGCTGGACAAGTAGTAGAGATTCAATAAATTGTAGTTGCCATCTTAACCTATACTGGATAATATATCAATAATTGTTACTATAGAAACTCTTATTGAATACTTATATGTAAGGTACTATGCTAAGTATTGTACATGAATTGTCTCAGTCATTCTTCAAAACAACCCTGCCGGATGATGTGATTGGTTACATTGCTGTTTGGCAAATACTTGGGACGGTGACTTCTTCCCTGCACCACCAGACCGTAGATGCTGGAGCCCAAGTAGATGTGCTGAGAACAGAGGCCTTAAGTGTGCTTGCAGGGTTTGGCTTGGCTCTTGCACTGCTCCTATTTGCCAGGAAGAAAATGTATTCCACATAGTCTCTGGTCCAAGGAGGATTAGAGGCTGCTGGAGCTGACCTAAACCCCATGCACAGCCTCCGTGGGAGCTGCCCAGCCAGTCTGTAGACTTGTGAGTGAGAAACTACATAATCGTTTTGTGAGCCACTGAACGTTAAGGCAGTTTTGTTATCTATATTTTTTTATTTTATTTTATTTTTTTTTTTTTTTTTTGAGACAGGTTCTCATTCTTTTTCCCAGGCTGGAGTGCACTCATGTGATGTCAGCTCACTGCAGCCTCGACTTCCTGGGCTTAAGTGATCCTCCCACCTCAGCTTCCCAAGTAGCTGGGACTACAGGCACATGCCACCATGCCTAGCTAATTTTTTGTATTTTTGCTAAAGATGGAGTTTCACCACGTTGCCCAGGCTTTTTTGGTGGTGGTGGTGGTGGTTGTTTTGGAAATAGGGATTTCCTCAGCCTCCCAAGTAACAGAGACTACAGGCTCACACCACCATGCCTGGCCAATTTTTTTGAAATTTCTTGTACAGACAGAGTCTAGCTATGTTGCCCAGGCTCGTCTTGAACTCCTGGGCTCCAGTGATCCTCCTGCTTGGCCTCCCAAAGTGCTGGGATTACAGGTGTGACCCACCGGCTTGTTAGACATTATTCTGGCGATAGCTGACTGATACAGATAGCAGCAATAACTGTCCCGATTTTATAGATCAGGGAATCAGGTAGAGAGAAATTAAATAATGCTTGCAAGACCACACAGCTGTAAGTGATACTCTTAATAAGGCAGTTTGAGGCCAAAACCCCTACTCTTAACCATTCTGTCACTAATCAGAGGTAATACAATGGCAATTACCCCAGACTTGGCATGTACTTGTAAATCAATTAGAATTCTCTTAGGAATAGATCATATGCTTTTTTGGCAGCAGCATTTTTAACTTTCTGATTTGGTTATAGTGGTGTATCTAAAACAAATTTATATTTCTCACACATATACTCTGTAATCCCAGCACTTTGGGAGGCCAAGGTGGGTGGATCACTTGAGGCCAGGAGTTCAAGACCAGCCTGAACAACATGGTGAAACCCCATCTCTACCAAAAAGAAAAAAAAATTAGGCGTGGTGGCATCTGCATCTGTAATCCCAACTACTCAGGAGGGTGAGGCAGGAGAATCGCTTGAACCCAGGAGGCAGAGATTGCAGTGAGCCCAGATTGCACCACTGCACTCTAGCCTGGGTGACAGAGCGAGACTGTCTCACAAAAAAAACAAAACAAAACAAAACAAAACAAAAAATACATACCAACTACGTGGGAGAGGCCAATGTTAGACTGAACATAAAAAATTGAGAAAGCACATATTCCCTGATTTCTTGAGGTGACTAAATTTTATCAGTGATTTAATTATATTTTCTAGAGAAAAATTATCGAGAAAAAAACTGATGTTACAGTTCCTAATTTGAAACCACTGACTGTATATTGTGTGAAAGCCAGAGCACACACCATGGATGAAAAGCTGAATAAAAGCAGTGTTTTTAGTGACGCTGTATGTGAGAAAACAAAACCAGGTCAGAATCTTTTATTGTCTTTTTTAAAAATGTAGCTAGACATAATAAAAGTAATTCTATACTGTACATTGAAAATTGTAAAACATTTTCTCTTTACTGCAAAAAATATATAGAAAGAATGTTTTCTTCATGAACTACATGAATCAAAAGTAGACTTTTTAGAAAATATTTGTAACGCTTAACTCTCAAGTCGGTGTTGTTGGATGCTTTATATTTCATCCAGTATCCCTATAATTAATTTCCTTAATGTATTGCTCTTTAACATTTAATAAAACTATTTTAAATTTTTAGAATATAATCCTTAACATAATTATCATGTAGAAATCACTTAGTTCAATTGTGAGTTTTTTAATGTGGGAATTGGTTTAGTCTCATTTTCTATTTTACAGTTTCTAGTGTTGACCGGTAGAGGCTTAGTCACAGAATATCTATTAAATTTTGCTAGTTGTATGGTGTAAAAGTGCTGAAGGATACTTGCATGTTTGGCCTGTATGTCAATATTGTATTTCTCCCTGAGGATCTCTTACTTCAGTTCCCACGCCAATCTTTAAATGTAAATGTCATTGCCTATGGTTGCTGTGGACTCAGTGCTACCAGAAATATTTTTAAGAGTATTATTTAATAGATTTTATATTTCCTTTCATATGGCTAGTCTTTCACACAGCTGTCAGCACTGTTAAGGCATTTGTATGTCAAAATATATGCTAAATATCACGTATATCTTTTTAGGAAATACCTCTAAAATTTGGCTTATAGTTGGAATTTGTATTGCATTATTTGCTCTCCCGTTTGTCATTTATGCTGCGAAAGTCTTCTTGAGATGCATCAATTATGTCTTCTTTCCATCACTTAAACCTTCTTCCAGTATAGATGAGGTATGTTACTTTTTTTATTTTTTTGTCAACAGCTAGGAAATGAACAGAAAATGTGTTTGATTTCAACAGTATATAGTAGGTTTTCTTGATATCCAGAAAATAATAGAGACTGATTTGGGTATCTTCTTCAAAGCTTTAGCCAATTAACTTTAAAAACAGTAATTTCATGTAATAACATAGCATGAGATAGTAATGATTGTCCTTAATTTCATATTTTTCTGGCAATTCCTAGATTCACTGTGGCATTTGTTTTACCGTTTAAAGCCTGTGATTCTTGGCCAAGCGTGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCTGAGGCGGGTGGGTCACTTGAGGTCAGGAGTTCGAGACCAGCCTGGTCAACATGGAGAAACCCTGTCTCTACTAAAAATATAAAATTAGCCGGGCGTGGTGGCACATGCCTGTAATCCCAGCTACTCGGGAGGCTGAGGCAGGGGGATCGCTTGAACCTGGGAGGTGGAGGTTGCAGTGAGCCGAGGTCATGCCACTGCACTCCAGCCTGGGTGACAGAGCAAGACTCTGTCTCTAAATAAGTAAATAAAGTCTGTAATGTGATTCTTCTCAGTACAGACAGTCCCAAACTTACGCTGTTTCAATTTGTGATGCGTTTGTCAGAACGTAATTCCATTGTAAGTTAGGAGCATCTGTATATATCCAGAAGACTAAAATATTCTATCAGCGTAGAAAGTATATTCTATGGATGAAATCATACAAAATGAAATAACTAAAAACATGAGACTTTTTTTATGACACACATCACAGTTTTTTGTTTGGCACTTCTATGAAGCTAGCATATTAAATGAAAGCACTGAATGGTGAAGGCCTAAACATAGAATCTGTTCCTGGGAAACCATGTGCTCATCTAGGGTGGGTTTTGTGAATTTGAGCAAGTCACTAAGGGCAGGTAAGCAAGTACCCTTGGCTGTAAACCACCCCATAGAGGTGTTAGGAGCAAAGGAGTTAAACCATAAGAACCTTACCACTCTAAAAATGCTCCGTAAATATTAACAATTTTACTATTATACCCCTGAGTTTTTAAATGTCATTCCTGTGTACTGTAATATTCATAGCTATTATTTAAAATAGACTTAAAAACTAGTTACAATAGCTAATAATTTCTCAATTGTGCTTCTTCTGGATATATATGTGTTGGATACAAACATTTTTATTATTTCAAAAAAAAAAAGTCATGATCCCAGAGTCCGCCCACTCCTGTCCTTTCCCGTGTTCTTCCCCGCCTACCCCGATGGCACAGTGTACCTTTCTTAGGTACTCTTCAAAGACTCACCACAGAAGGTACTAAGATATGAGTGACCTCACTAATGATGCTTTTAAACATTATAAGGCAATTAGTATGTTCTTAGGTGACTTTTTAATATGCATGCCAGAAGATAGGTTTTCTCAGTAATGGATGTAAGAAACTAAAGCTATTACAACTAGAAAAGGAATTTTTATTATTTTAAATAATTGATTTCTACTCTTTCCCTTTTTTTAAATTAGTATTTCTCTGAACAGCCATTGAAGAATCTTCTGCTTTCAACTTCTGAGGAACAAATCGAAAAATGTTTCATAATTGAAAATATAAGCACAATTGCTACAGTAGAAGAAACTAATCAAACTGATGAAGATCATAAAAAATACAGTTCCCAAACTAGCCAAGATTCAGGAAATTATTCTAATGAAGATGAAAGCGAAAGTAAAACAAGTGAAGAACTACAGCAGGACTTTGTATGACCAGAAATGAACTGTGTCAAGTATAAGGTTTTTCAGCAGGAGTTACACTGGGAGCCTGAGGTCCTCACCTTCCTCTCAGTAACTACAGAGAGGACGTTTCCCTGTTTAGGGAAAGAAAAAACATCTTCAGATCATAGGTCCTAAAAATACGGGCAAGCTCTTAACTATTTAAAAATGAAATTACAGGCCCGGGCACGGTGGCTCACACCTGTAATCCCAGCACTTTGGGAGGCTGAGGCAGGCAGATCATGAGGTCAAGAGATCGAGACCAGCCTGGCCAACGTGGTGAAACCCCATCTCTACTAAAAATACAAAAATTAGCCGGGTGTGGTGGCGCGCGCCTGTTGTCTTAGCTACTCAGGAGGCTGAGGCAGGAGAATCGCTTGAAAACAGGAGGTGGAGGTTGCAGTGAGCCGAGATCACGCCACTGCACTCCAGCCTGGTGACAGCGTGAGACTCTTTAAAAAAAGAAATTAAAAGAGTTGAGACAAACGTTTCCTACATTCTTTTCCATGTGTAAAATCATGAAAAAGCCTGTCACCGGACTTGCATTGGATGAGATGAGTCAGACCAAAACAGTGGCCACCCGTCTTCCTCCTGTGAGCCTAAGTGCAGCCGTGCTAGCTGCGCACCGTGGCTAAGGATGACGTCTGTGTTCCTGTCCATCACTGATGCTGCTGGCTACTGCATGTGCCACACCTGTCTGTTCGCCATTCCTAACATTCTGTTTCATTCTTCCTCGGGAGATATTTCAAACATTTGGTCTTTTCTTTTAACACTGAGGGTAGGCCCTTAGGAAATTTATTTAGGAAAGTCTGAACACGTTATCACTTGGTTTTCTGGAAAGTAGCTTACCCTAGAAAACAGCTGCAAATGCCAGAAAGATGATCCCTAAAAATGTTGAGGGACTTCTGTTCATTCATCCCGAGAACATTGGCTTCCACATCACAGTATCTACCCTTACATGGTTTAGGATTAAAGCCAGGCAATCTTTTACTATGCATTAAGACCTCTGATTCAAAACTTATTAGAACAGTAGCTTCTGCTGGAATTTGCAATCACTGAAGTCATAGAAAATAGGTAACTATCTAATTAGAGAAATAATTGTTGTATTTTAAGATCTGAGAGTGTGTACAAGTTTTAGTATACATGCCATGCCAGAAGATAGTGTATGCAAGAAGTCTTGGGACCAGAAAATGGCAATGATAGGAGACTGACATAGAAGAAGAATGCTTCCCTAGGAAAAAGGTCGCTGGCTTTGGTGCAAGAGGAAGAAGAATGTTCCACTGGAAGCCTGAGCACCTAATCAGCTCTCAGTGATCAACCCACTCTTGTTATGGGTGGTCTCTGTCACTTTGAATGCCAGGCTGGCTTCTCGTCTAGCAGTATTCAGATACCCCTTCTGCTCAGCCTGCTTGGCGTTAAAATACAAATCATTGAACTGAGGGGGAAAAATGTAACTAGGAAGAAAAACCCAATTTAAGAAATTACATAATGCTTTCCAAAGGCACCTACAACTTAGTTTTAAATTACTTGCTACTGGGGATTACCCATGGATATCCTTAATAGGCAGGAAGT 18 | --------------------------------------------------------------------------------