/// <summary>
/// AdjustMappingValues 当属性匹配值为null时，可以将其替换为所有的区分值，并与其它属性匹配值做笛卡尔交集，得到多组匹配条件。
/// 辅助以简化Emit实现。
/// </summary>
public static List <object[]> AdjustMappingValues(object[] propertyValues4Classify, IList[] distinctValList)
{
List <object[]> resultList = new List <object[]>();
Dictionary <int, IList <object> > dic = new Dictionary <int, IList <object> >();
for (int i = 0; i < propertyValues4Classify.Length; i++)
{
if (propertyValues4Classify[i] == null)
{
List <object> copy = new List <object>();
foreach (object obj in distinctValList[i])
{
copy.Add(obj);
}
dic.Add(i, copy);
}
else
{
IList <object> list = new List <object>();
list.Add(propertyValues4Classify[i]);
dic.Add(i, list);
}
}
SimpleCrossJoiner <object> crossJoiner = new SimpleCrossJoiner <object>();
for (int i = 0; i < propertyValues4Classify.Length; i++)
{
crossJoiner.CrossJoin(dic[i]);
}
foreach (CrossJoinPath <object> path in crossJoiner.Result)
{
resultList.Add(path.Path.ToArray());
}
return(resultList);
}
public static List <object[]> AdjustMappingValues(object[] propertyValues4Classify, IList[] distinctValList)
{
int num;
List <object[]> list = new List <object[]>();
Dictionary <int, IList <object> > dictionary = new Dictionary <int, IList <object> >();
for (num = 0; num < propertyValues4Classify.Length; num++)
{
if (propertyValues4Classify[num] == null)
{
List <object> list2 = new List <object>();
foreach (object obj2 in distinctValList[num])
{
list2.Add(obj2);
}
dictionary.Add(num, list2);
}
else
{
IList <object> list3 = new List <object>();
list3.Add(propertyValues4Classify[num]);
dictionary.Add(num, list3);
}
}
SimpleCrossJoiner <object> joiner = new SimpleCrossJoiner <object>();
for (num = 0; num < propertyValues4Classify.Length; num++)
{
joiner.CrossJoin(dictionary[num]);
}
foreach (CrossJoinPath <object> path in joiner.Result)
{
list.Add(path.Path.ToArray());
}
return(list);
}
