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To start with, the script creates the continent, country, area, and city tables: CREATE TABLE continent ( continentID int(11) NOT NULL auto_increment, continent varchar(20) default NULL, PRIMARY KEY (continentID) ) TYPE=MyISAM; CREATE TABLE country ( countryID int(11) NOT NULL auto_increment, country varchar(100) default NULL, countryContinentID int(11) default NULL, PRIMARY KEY (countryID), FOREIGN KEY (countryContinentID) REFERENCES continent (continentID) ) TYPE=MyISAM; CREATE TABLE area ( areaID int(11) NOT NULL auto_increment, area varchar(100) default NULL, areaCountryID int(11) default NULL, PRIMARY KEY (areaID), FOREIGN KEY (areaCountryID) REFERENCES country (countryID) ) TYPE=MyISAM; CREATE TABLE city ( cityID int(11) NOT NULL auto_increment, city varchar(100) default NULL, cityAreaID int(11) default NULL, PRIMARY KEY (cityID), FOREIGN KEY (cityAreaID) REFERENCES area (areaID) ) TYPE=MyISAM; Each table has a primary key ending with the letters ID. The script also defines foreign keys that specify the relationships between each table. The individual city forecasts appear within the weather table: CREATE TABLE weather ( weatherID int(11) NOT NULL auto_increment, weatherDate int(11) default NULL, weatherMax int(4) default NULL, weatherMin int(4) default NULL, weatherCityID int(11) default NULL, weatherWeatherTypeID int(11) default NULL, PRIMARY KEY (weatherID), FOREIGN KEY (weatherCityID) REFERENCES city (cityID), FOREIGN KEY (weatherWeatherTypeID) REFERENCES weatherType (weatherTypeID) ) TYPE=MyISAM;



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Note The keys of a dictionary don t have a specific order, so when a dictionary is printed out, the order

This table stores the date of the forecast, the maximum and minimum temperatures, and the current weather conditions. The current conditions come from values in the weatherWeatherTypeID field. This foreign key is associated with the weatherType table: CREATE TABLE weatherType ( weatherTypeID int(11) NOT NULL auto_increment, weatherType varchar(40) default NULL, PRIMARY KEY (weatherTypeID) ) TYPE=MyISAM; The last section of the SQL script inserts the default weather conditions into the weatherType table: INSERT INSERT INSERT INSERT INSERT INSERT INSERT INSERT INTO INTO INTO INTO INTO INTO INTO INTO weatherType weatherType weatherType weatherType weatherType weatherType weatherType weatherType VALUES VALUES VALUES VALUES VALUES VALUES VALUES VALUES (1,'hot'); (2,'sunny'); (3,'windy'); (4,'cloudy'); (5,'rain'); (6,'rainstorms'); (7,'snow'); (8,'snowstorms');





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included so that an error is not triggered when the Dispose method is called a second time. I suggest you thoroughly review the .NET Framework documentation before attempting to create a Dispose method.

Before writing a function for storing names, let s write one for getting them: def lookup(data, label, name): return data[label].get(name) With lookup, you can take a label (such as 'middle') and a name (such as 'Lie') and get a list of full names returned. In other words, assuming my name was stored, you could do this: >>> lookup(storage, 'middle', 'Lie') ['Magnus Lie Hetland'] It s important to notice that the list that is returned is the same list that is stored in the data structure. So if you change the list, the change also affects the data structure. (This is not the case if no people are found; then you simply return None.) Now it s time to write the function that stores a name in your structure (don t worry if it doesn t make sense to you immediately): def store(data, full_name): names = full_name.split() if len(names) == 2: names.insert(1, '') labels = 'first', 'middle', 'last'

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Each of these weather types has an associated image in the images folder. In phpMyAdmin, switch to the SQL section and copy and paste the contents of the weather.sql file into the Run SQL queries section of the page, as shown in Figure 13-3.

for label, name in zip(labels, names): people = lookup(data, label, name) if people: people.append(full_name) else: data[label][name] = [full_name] The store function performs the following steps: 1. You enter the function with the parameters data and full_name set to some values that you receive from the outside world. 2. You make yourself a list called names by splitting full_name. 3. If the length of names is 2 (you have only a first and a last name), you insert an empty string as a middle name. 4. You store the strings 'first', 'middle', and 'last' as a tuple in labels. (You could certainly use a list here; it s just convenient to drop the brackets.) 5. You use the zip function to combine the labels and names so they line up properly, and for each pair (label, name), you do the following: Fetch the list belonging to the given label and name. Append full_name to that list, or insert a new list if needed. Let s try it out: >>> MyNames = {} >>> init(MyNames) >>> store(MyNames, 'Magnus Lie Hetland') >>> lookup(MyNames, 'middle', 'Lie') ['Magnus Lie Hetland'] It seems to work. Let s try some more: >>> store(MyNames, 'Robin Hood') >>> store(MyNames, 'Robin Locksley') >>> lookup(MyNames, 'first', 'Robin') ['Robin Hood', 'Robin Locksley'] >>> store(MyNames, 'Mr. Gumby') >>> lookup(MyNames, 'middle', '') ['Robin Hood', 'Robin Locksley', 'Mr. Gumby'] As you can see, if more people share the same first, middle, or last name, you can retrieve them all together.

Click the Go button to run the script. You should see a message stating that the SQL query has been executed successfully. The left-hand side of the page should show the names of six tables, as in Figure 13-4.

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