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Set fields to control the layout of admin interface add and change pages. fields is a pretty complex nested data structure best demonstrated with an example. The following is taken from the FlatPage model that s part of django.contrib.flatpages: class FlatPage(models.Model): ... class Admin: fields = ( (None, { 'fields': ('url', 'title', 'content', 'sites') }), ('Advanced options', { 'classes': 'collapse', 'fields' : ('enable_comments', 'registration_required', 'template_name') }), ) Formally, fields is a list of two-tuples, in which each two-tuple represents a <fieldset> on the admin form page. (A <fieldset> is a section of the form.) The two-tuples are in the format (name, field_options), where name is a string representing the title of the fieldset and field_options is a dictionary of information about the fieldset, including a list of fields to be displayed in it. If fields isn t given, Django will default to displaying each field that isn t an AutoField and has editable=True, in a single fieldset, in the same order as the fields are defined in the model. The field_options dictionary can have the keys described in the sections that follow.



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3. Make this the startup project, and run it with Ctrl+F5. You should see the result in Figure 7-6.

Ordinary integers can t be larger than 2147483647 (or smaller than 2147483648); if you want really big numbers, you have to use longs. A long (or long integer) is written just like an ordinary integer but with an L at the end. (You can, in theory, use a lowercase l as well, but that looks all too much like the digit 1, so I d advise against it.) In the previous attempt, Python converted the integer to a long, but you can do that yourself, too. Let s try that big number again: >>> 1000000000000000000L 1000000000000000000L

This program is essentially the same as the first, DataLooper.cs (Listing 7-1). Here, you defined two separate queries and then combined them:





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A tuple of field names to display in this fieldset. This key is required. To display multiple fields on the same line, wrap those fields in their own tuple. In this example, the first_name and last_name fields will display on the same line: 'fields': (('first_name', 'last_name'), 'address', 'city', 'state'),

' Set up first query Dim sql1 As String = _ "select " _ & " companyname, " _ & " contactname " _ & "from " _ & " customers " _ & "where " _ & "companyname like 'A%' " ' Set up second query Dim sql2 As String = _ "select " _ & " firstname, " _ & " lastname " _ & "from " _ & " employees" ' Combine queries Dim sql As String = sql1 & sql2

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A string containing extra CSS classes to apply to the fieldset. Apply multiple classes by separating them with spaces: 'classes': 'wide extrapretty', Two useful classes defined by the default admin site stylesheet are collapse and wide. Fieldsets with the collapse style will be initially collapsed in the admin site and replaced with a small click to expand link. Fieldsets with the wide style will be given extra horizontal space.

s Caution Some DBMSs require an explicit character as a separator between multiple queries, but SQL Server requires only whitespace before subsequent SELECT keywords, which you carefully placed after the LIKE predicate in sql1.

Of course, this is only useful in old versions of Python that aren t capable of figuring this stuff out. Well, can you do math with these monster numbers, too Sure thing. Consider the following: >>> 1987163987163981639186L * 198763981726391826L + 23 394976626432005567613000143784791693659L As you can see, you can mix long integers and plain integers as you like. In all likelihood, you won t have to worry about the difference between longs and ints unless you re doing type checking, as described in 7 and that s something you should almost never do.

A string of optional extra text to be displayed at the top of each fieldset, under the heading of the fieldset. It s used verbatim, so you can use any HTML and you must escape any special HTML characters (such as ampersands) yourself.

The only other change is that you looped through result sets. You nest the loop that retrieves rows inside one that loops through result sets:

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