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private Node head = new Node(null); private Node last = head; public synchronized void put(Object task) { assert task != null: "Cannot insert null task"; Node p = new Node(task); lastnext = p; last = p; notifyAll(); } public synchronized Object take() { //returns first task in queue, waits if queue is empty Object task = null; while (isEmpty()) {try{wait();}catch(InterruptedException ignore){}} { Node first = headnext; task = firsttask; firsttask = null; head = first; } return task; } private boolean isEmpty(){return headnext == null;} }

for filename in lines[1:]: filename = filenamerstrip() previous = "" try: with open(filename, "rb") as fh: while True: current = fhread(BLOCK_SIZE) if not current: break current = currentdecode("utf8", "ignore") if (word in current or word in previous[-len(word):] + current[:len(word)]): print("{0}{1}"format(number, filename)) break if len(current) != BLOCK_SIZE: break previous = current except EnvironmentError as err: print("{0}{1}"format(number, err))

All the lines after the rst are lenames (with paths) For each one we open the relevant le, read it, and print its name if it contains the search word It is possible that some of the les might be very large and this could be a problem, especially if there are 20 child processes running concurrently, all reading big

with a loop[7]

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It is possible that a future version of Python will have a version of the subprocess module that allows encoding and errors arguments so that we can use our preferred encoding without having to access sysstdin in binary mode and do the decoding ourselves See bugspythonorg/issue6135

Often we see uniqueness in tables enforced only for the primary key Remember that when you selected your primary key, you evaluated all the candidate keys in the table Just because you didn t use a candidate as the primary key doesn t mean it should be ignored; these columns are great candidates to have unique constraints

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les We handle this by reading each le in blocks, keeping the previous block read to ensure that we don t miss cases when the only occurrence of the search word happens to fall across two blocks Another bene t of reading in blocks is that if the search word appears early in the le we can nish with the le without having read everything, since all we care about is whether the word is in the le, not where it appears within the le The les are read in binary mode, so we must convert each block to a string before we can search it, since the search word is a string We have assumed that all the les use the UTF-8 encoding, but this is most likely wrong in some cases A more sophisticated program would try to determine the actual encoding and then close and reopen the le using the correct encoding As we noted in 2, at least two Python packages for automatically detecting a le s encoding are available from the Python Package Index, pypipythonorg/pypi (It might be tempting to decode the search word into a bytes object and compare bytes with bytes, but that approach is not reliable since some characters have more than one valid UTF-8 representation) The subprocess module offers a lot more functionality than we have needed to use here, including the ability to provide equivalents to shell backquotes and shell pipelines, and to the ossystem() and spawn functions In the next section we will see a threaded version of the grepword-ppy program so that we can compare it with the parent child processes one We will also look at a more sophisticated threaded program that delegates work and then gathers the results together to have more control over how they are output.

The fact that wait can throw an InterruptedException must be dealt with; it is ignored here for clarity, but handled properly in the code examples

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