(Word Occurrences) Write a program word-occurrences. py that accepts filename (str) as command-line argument and words from standard input; and writes to standard output the word along with the indices (ie, locations where it appears in the file whose name is filename - writes "Word not found" if the word does not appear in the file. >_*/workspace/project 6 $ python3 word_occurrences. py data/Beatles. txt dead Center> dead -> (3297, 4118, 4145, 41971 parrot center> Word not found word occurrences. py from instream import InStream from symboltable import Symbol Table import stdio import sys # Entry point. def main (): # Accept filename (str) as command line argument. # Set in Stream to an input stream built from filename. # Set words to the list of strings read from instream # Set occurrences to a new symbol table object. for 1, word in enumerate (...) # For each word (having index 1) in words... # It word does not exist in occurrences, insert it with an empty list as the value. # Append i to the list corresponding to word in occurrences. while . #As long as standard input is not empty.. # Set word to a string read from standard input. # If word exists in occurrences, write the word and the corresponding list to standard Exercises word occurrences. py #output separated by the string Otherwise, write the message Word not found 1 else main()

Some of your friends have gotten into the burgeoning field of time-series data mining, in which one looks for patterns in sequences of events that occur over time. purchases at stock exchanges--what’s being bought-- are one source of data with a natural ordering in time. given a long sequence s of such events, your friends want an efficient way to detect certain "patterns" in them--for example, they may want to know if the four events buy yahoo, buy ebay, buy yahoo, buy oracle occur in this sequence s, in order but not necessarily consecutively. they begin with a collection of possible events (e. g., the possible’ transactions) and a sequence s of n of these events. a given event may occur multiple times in s (e. g., yahoo stock may be bought many times in a single sequence s). we will say that a sequence s’ is a subsequence of s if there is a way to delete certain of the events from s so that the remaining events, in order, are equal to the sequence s’. so, for example, the sequence of four events above is a subsequence of the sequence buy amazon, buy yahoo, buy ebay, buy yahoo, buy yahoo, buy oracle their goal is to be able to dream up short sequences and quickly detect whether they are subsequences of s. so this is the problem they pose to you: give an algorithm that takes two sequences of even~s--s’ of length m and s of length n, each possibly containing an event more than once--and decides in time o(m n) whether s’ is a subsequence of s

Drag each label to the correct location on the imagelist the do’s and don’ts of safeguarding your password. keep yourself loggedin when you leave your computer. don’t write your password down and leave it whereothers can find it. share your password with your friends. each time you visit a website, retain the cookies on your computer. use a long password with mixed characters.

Be sure to answer all parts. synthesize the following compound from benzene. a. b. c. d. e. f. reaction [1] conditions: a b c d e f reaction [1] product: draw structure reaction [2] conditions: a b c d e f reaction [2] product: draw structure reaction [3] conditions: a b c d e f reaction [3] product: