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Example: {{ string|truncatewords_html:"15" }} Similar to truncatewords, except that it is aware of HTML tags. Any tags that are opened in the string and not closed before the truncation point are closed immediately after the truncation. This is less efficient than truncatewords, so it should be used only when it is being passed HTML text.



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The final line gets the current hour. You must use the T-SQL DATEPART function here because no HOUR function is analogous to the YEAR function. Note that T-SQL doesn t provide a time specifier for extracting a complete time, and it doesn t have a separate TIME function.

Finally, at the end of the function, add return result Although this may not work with all generators, it works with most. (For example, it fails with infinite generators, which of course can t stuff their values into a list.) Here is the flatten generator rewritten as a plain function: def flatten(nested): result = [] try: # Don't iterate over string-like objects: try: nested + '' except TypeError: pass else: raise TypeError for sublist in nested: for element in flatten(sublist): result.append(element) except TypeError: result.append(nested) return result





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Example: <ul> {{ list|unordered_list }} </ul> Recursively takes a self-nested list and returns an HTML unordered list without opening and closing <ul> tags. The list is assumed to be in the proper format. For example, if var contains ['States', [['Kansas', [['Lawrence', []], ['Topeka', []]]], ['Illinois', []]]], then {{ var|unordered_list }} would return the following: <li>States <ul> <li>Kansas <ul> <li>Lawrence</li> <li>Topeka</li> </ul> </li> <li>Illinois</li> </ul> </li>

datepart(hour, getdate()) 'hour'

Example: {{ string|urlizetrunc:"30" }} Converts URLs into clickable links, truncating URLs to the given character limit.

You can format dates and times and alternative functions for extracting and converting them in various ways. Dates and times can also be added and subtracted, and incremented and decremented. How this is done is DBMS-specific, though all DBMSs comply to a reasonable extent with the SQL standard in how they do it. Whatever DBMS you use, you ll find that dates and times are the most complicated data types to use. However, in all cases you ll find that functions (sometimes a richer set of them than in T-SQL) are the basic tools for working with dates and times.

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Now that you ve learned about all this magic, it s time to put it to work. In this section, you see how to use generators to solve a classic programming problem. Generators are ideal for complex recursive algorithms that gradually build a result. Without generators, these algorithms usually require you to pass a half-built solution around as an extra parameter so that the recursive calls can build on it. With generators, all the recursive calls have to do is yield their part. That is what I did with the preceding recursive version of flatten, and you can use the exact same strategy to traverse graphs and tree structures.

Example: {{ boolean|yesno:"Yes,No,Perhaps" }} Given a string mapping values for True, False, and (optionally) None, returns one of those strings according to the value (see Table F-4). Table F-4. Examples of the yesno Filter

s When providing date and time input, character string values are typically expected; for example, Tip

6/28/2004 would be the appropriate way to specify the value for a column holding the current date from

"yeah,no,maybe" "yeah,no,maybe" "yeah,no,maybe" "yeah,no"

the example. However, DBMSs store datetimes in system-specific encodings. When you use date and time data, read the SQL manual for your database carefully to see how to handle it best.

yeah no maybe "no" (converts None to False if no mapping for None is given)

If you have never heard of graphs and trees before, you ought to learn about them as soon as possible; they are very important concepts in programming and computer science. To find out more, you should probably get a book about computer science, discrete mathematics, data structures, or algorithms. For some concise definitions, you can check out the following Web pages: http://mathworld.wolfram.com/Graph.html http://mathworld.wolfram.com/Tree.html http://www.nist.gov/dads/HTML/tree.html http://www.nist.gov/dads/HTML/graph.html A quick Web search ought to turn up a lot of material.

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