每个命名空间分支类理想的数字 [英] Ideal number of classes per namespace branch

问题描述

您如何看待许多类是每一个命名空间分支的理想？在这一点上总会有决定打破一个命名空间为多个的呢？让我们不要讨论类的逻辑分组（假设它们在逻辑上划分正确），我，在这一点上，集中在维护与类不维护的数量。

What number of classes do you think is ideal per one namespace "branch"? At which point would one decide to break one namespace into multiple ones? Let's not discuss the logical grouping of classes (assume they are logically grouped properly), I am, at this point, focused on the maintainable vs. not maintainable number of classes.

推荐答案

42？不，这是行不通的。

"42? No, it doesn't work..."

好吧，让我们把我们的编程实力工作，看看什么是微软的观点：

Ok, let's put our programming prowess to work and see what is Microsoft's opinion:

# IronPython
import System
exported_types = [
  (t.Namespace, t.Name)
  for t in System.Int32().GetType().Assembly.GetExportedTypes()]

import itertools
get_ns = lambda (ns, typename): ns
sorted_exported_types = sorted(exported_types, key=get_ns)
counts_per_ns = dict(
  (ns, len(list(typenames)))
  for ns, typenames
  in itertools.groupby(sorted_exported_types, get_ns))
counts = sorted(counts_per_ns.values())

print 'Min:', counts[0]
print 'Max:', counts[-1]
print 'Avg:', sum(counts) / len(counts)
print 'Med:',
if len(counts) % 2:
  print counts[len(counts) / 2]
else: # ignoring len == 1 case
  print (counts[len(counts) / 2 - 1] + counts[len(counts) / 2]) / 2

这给了我们每个类型的数量有以下统计命名空间：

And this gives us the following statistics on number of types per namespace:

C:\tools\nspop>ipy nspop.py
Min: 1
Max: 173
Avg: 27
Med: 15

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