--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/web/lib/django/db/models/sql/aggregates.py	Wed Jun 02 18:57:35 2010 +0200
@@ -0,0 +1,127 @@
+"""
+Classes to represent the default SQL aggregate functions
+"""
+
+class AggregateField(object):
+    """An internal field mockup used to identify aggregates in the
+    data-conversion parts of the database backend.
+    """
+    def __init__(self, internal_type):
+        self.internal_type = internal_type
+    def get_internal_type(self):
+        return self.internal_type
+
+ordinal_aggregate_field = AggregateField('IntegerField')
+computed_aggregate_field = AggregateField('FloatField')
+
+class Aggregate(object):
+    """
+    Default SQL Aggregate.
+    """
+    is_ordinal = False
+    is_computed = False
+    sql_template = '%(function)s(%(field)s)'
+
+    def __init__(self, col, source=None, is_summary=False, **extra):
+        """Instantiate an SQL aggregate
+
+         * col is a column reference describing the subject field
+           of the aggregate. It can be an alias, or a tuple describing
+           a table and column name.
+         * source is the underlying field or aggregate definition for
+           the column reference. If the aggregate is not an ordinal or
+           computed type, this reference is used to determine the coerced
+           output type of the aggregate.
+         * extra is a dictionary of additional data to provide for the
+           aggregate definition
+
+        Also utilizes the class variables:
+         * sql_function, the name of the SQL function that implements the
+           aggregate.
+         * sql_template, a template string that is used to render the
+           aggregate into SQL.
+         * is_ordinal, a boolean indicating if the output of this aggregate
+           is an integer (e.g., a count)
+         * is_computed, a boolean indicating if this output of this aggregate
+           is a computed float (e.g., an average), regardless of the input
+           type.
+
+        """
+        self.col = col
+        self.source = source
+        self.is_summary = is_summary
+        self.extra = extra
+
+        # Follow the chain of aggregate sources back until you find an
+        # actual field, or an aggregate that forces a particular output
+        # type. This type of this field will be used to coerce values
+        # retrieved from the database.
+        tmp = self
+
+        while tmp and isinstance(tmp, Aggregate):
+            if getattr(tmp, 'is_ordinal', False):
+                tmp = ordinal_aggregate_field
+            elif getattr(tmp, 'is_computed', False):
+                tmp = computed_aggregate_field
+            else:
+                tmp = tmp.source
+
+        self.field = tmp
+
+    def relabel_aliases(self, change_map):
+        if isinstance(self.col, (list, tuple)):
+            self.col = (change_map.get(self.col[0], self.col[0]), self.col[1])
+
+    def as_sql(self, qn, connection):
+        "Return the aggregate, rendered as SQL."
+
+        if hasattr(self.col, 'as_sql'):
+            field_name = self.col.as_sql(qn, connection)
+        elif isinstance(self.col, (list, tuple)):
+            field_name = '.'.join([qn(c) for c in self.col])
+        else:
+            field_name = self.col
+
+        params = {
+            'function': self.sql_function,
+            'field': field_name
+        }
+        params.update(self.extra)
+
+        return self.sql_template % params
+
+
+class Avg(Aggregate):
+    is_computed = True
+    sql_function = 'AVG'
+
+class Count(Aggregate):
+    is_ordinal = True
+    sql_function = 'COUNT'
+    sql_template = '%(function)s(%(distinct)s%(field)s)'
+
+    def __init__(self, col, distinct=False, **extra):
+        super(Count, self).__init__(col, distinct=distinct and 'DISTINCT ' or '', **extra)
+
+class Max(Aggregate):
+    sql_function = 'MAX'
+
+class Min(Aggregate):
+    sql_function = 'MIN'
+
+class StdDev(Aggregate):
+    is_computed = True
+
+    def __init__(self, col, sample=False, **extra):
+        super(StdDev, self).__init__(col, **extra)
+        self.sql_function = sample and 'STDDEV_SAMP' or 'STDDEV_POP'
+
+class Sum(Aggregate):
+    sql_function = 'SUM'
+
+class Variance(Aggregate):
+    is_computed = True
+
+    def __init__(self, col, sample=False, **extra):
+        super(Variance, self).__init__(col, **extra)
+        self.sql_function = sample and 'VAR_SAMP' or 'VAR_POP'