A pipeline (pipeline(a)) has initially seven segments as listed in Table1.1. It is compared to three other pipelines; Pipeline(b), Pipeline(c) and Pipeline(d). Find each pipeline clock cycle time in nano seconds, the total executing time for the indicated n tasks and the speed up ratio; (nk)/(n+k-1). Name Segment1 Segment2 Segment3 Segment4 Segment5 Segment6 Segment7
t t1 t2 t3 t4 t5 t6 t7
time in ns 135 115 155 225 95 75 40
tasks n 315
a- Pipeline(a) uses the original five segments as shown in Table
b- Pipeline(b) is the same as pipeline (a) with t4, split into 3 identical segments.
C- Pipeline(c) is the same as pipeline (a) with t2 and t3, combined into one segment
d- Pipeline(d) is the same as pipeline (a) with t4, split into 3 identical segments while t2, and t3 are combined into one segment.

Your task this week is to write a very simple spam classifier in python. it will classify messages as either spam (unwanted) or ham (wanted). the program will have a set of spam_words, words that are known to appear in spam messages. that set is included in the template file spam.pypreview the document. you will also define a spam threshold which reflects the allowed percentage of spam words in the message. you'll compute a 'spam indicator', which is the ratio of spam words to the total number of unique words in the message. if the spam indicator exceeds the spam threshold, the message is classified as spam. otherwise it is classified as ham. we'll assume that the spam threshold is a constant and has a value of 0.10. your program will prompt the user for a message and then will print the corresponding spam indicator with two decimal digits and the corresponding classification (spam or ham). the program will be case insensitive. the spam words are detected whether they are in lower case or upper case or mixed case. each word, spam or not, is counted once (even if it appears multiple times in the message.) the program will remove punctuation from the message before identifying the words and computing the spam indicator. for example '! ' must be identified as the spam word 'now'.

The most complicated four letter word

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