the sun also rises day4

故事围绕着Brett的迷人风采与Jake内心的复杂情感展开。Brett穿着时尚,举止独特,吸引了众人的目光,而Jake虽未与Brett共舞,却在旁默默关注,甚至在她与其他男士跳舞时选择饮酒消愁。从Jake与Cohn的对话中不难看出他对Brett的独占欲,当二人共乘一车时,Brett吐露心中的苦闷,预示着故事即将进入高潮。

faculty(能力,(学校的)全体教员)

1.waht a box to sweet in.
box means small room, it means that"这屋子活像个蒸笼"

2.she was very much with them.
她和她们玩的很开。

3. i know they are supposed to be amusing, and you should be tolerant, but i want to swing one ,any one, angthing to shatter that superior, simpering composure.
我知道他们以为是在开玩笑,而你应该忍受,但我想揍人,任何一个人,来打破那种目中无人,傻笑中透着泰然自若的神情。

4. i was a little drunk, not drunk in any positive sense but just enough to be careless.
我有点醉了, 但没有真的醉,刚刚好开始口无择言。

5.what is the matter with you, you seem all worked up over something.
你怎么了,看起来被什么事情惹恼了。work up over (被什么激起情绪)

6.why aren't you tight?
为什么你没有醉。

7.Brett was demned good-looking, she wore a slipover jersey sweater and a tweed skirt, and her hair was brushed back like a boy's. she started all that.she was built with curves like the hull of a racing yacht,and you missed none of it with that wool jersey.
Brett 真的超级好看,她穿着一套针织套衫和一条苏格兰粗呢裙子头发向后梳,像个男孩子。这种打扮是她开的头。她的身材如同赛艇的船身,羊毛套衫使她的整个身形暴露无遗。

jake must had  a story with brett, although he hadn't danced with brett, he llikes drinking  an orange when brett danced with another people, and we could also tell from his chat with cohn, obviously he didin't want brett danced with other. and when they got in the car, brett said she was misrable. our story, was just beginging. 

要画出MapReduce对这两个文件进行单词统计的过程示意图,以下是各个步骤及对应的解释,可根据这些步骤来绘制示意图: ### 1. 输入分割 将两个文件分别进行分割,按照行进行切分。 - 文件1: - “East is a direction.” - “The sun rises in the east.” - “East is the opposite of west.” - 文件2: - “West is a direction.” - “The sun sets in the west.” - “West is the opposite of east.” ### 2. Map阶段 对每一行进行单词分割,并输出键值对(单词,1)。 - 对于文件1的第一行 “East is a direction.”,输出:(East, 1), (is, 1), (a, 1), (direction, 1) - 以此类推,对所有行进行处理。 ### 3. Map端排序 Map输出的键值对会按照键(单词)进行排序。例如,会将所有以 “a” 开头的单词放在一起,“b” 开头的单词放在一起,依此类推。 ### 4. Combine阶段 在Map端进行局部聚合,对相同键(单词)的值进行求和。例如,如果有多个 (East, 1),会合并为 (East, n),n 是 “East” 出现的次数。 ### 5. Shuffle阶段 将Map端的输出根据键(单词)分发到不同的Reduce任务中。例如,所有 “East” 的键值对会被发送到同一个Reduce任务。 ### 6. Reduce阶段 Reduce任务接收相同键(单词)的所有键值对,并对值进行求和。例如,接收 (East, 2), (East, 1) 会合并为 (East, 3)。 ### 7. Reduce端排序 Reduce输出的结果会按照键(单词)再次进行排序,最终得到按字母顺序排列的单词统计结果。 ### 代码示例(Python伪代码) ```python # Map函数 def map_function(line): words = line.split() for word in words: yield (word.lower(), 1) # Combine函数 def combine_function(key_values): word_count = {} for key, value in key_values: if key in word_count: word_count[key] += value else: word_count[key] = value for key, value in word_count.items(): yield (key, value) # Reduce函数 def reduce_function(key, values): total = sum(values) return (key, total) # 模拟输入文件 file1 = ["East is a direction.", "The sun rises in the east.", "East is the opposite of west."] file2 = ["West is a direction.", "The sun sets in the west.", "West is the opposite of east."] # Map阶段 map_output = [] for line in file1 + file2: for key, value in map_function(line): map_output.append((key, value)) # Map端排序 map_output.sort() # Combine阶段 combine_output = [] current_key = None current_values = [] for key, value in map_output: if current_key is None: current_key = key if key == current_key: current_values.append(value) else: for result in combine_function([(current_key, v) for v in current_values]): combine_output.append(result) current_key = key current_values = [value] # 处理最后一组 for result in combine_function([(current_key, v) for v in current_values]): combine_output.append(result) # Shuffle阶段(模拟) shuffled_output = {} for key, value in combine_output: if key not in shuffled_output: shuffled_output[key] = [] shuffled_output[key].append(value) # Reduce阶段 reduce_output = [] for key, values in shuffled_output.items(): result = reduce_function(key, values) reduce_output.append(result) # Reduce端排序 reduce_output.sort() print(reduce_output) ``` ### 示意图绘制建议 - 可以使用流程图工具(如Visio、Draw.io等)来绘制。 - 每个阶段用一个矩形框表示,并用箭头连接表示数据流向。 - 在每个阶段的框内详细标注该阶段的操作和数据变化。
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