sharedctypes.RawArray initialization

[meetaig]

BPO	31859

^{Note: these values reflect the state of the issue at the time it was migrated and might not reflect the current state.}

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assignee = None
closed_at = None
created_at = <Date 2017-10-24.12:13:37.774>
labels = ['type-bug']
title = 'sharedctypes.RawArray initialization'
updated_at = <Date 2017-10-24.12:13:37.774>
user = 'https://bugs.python.org/meetaig'

bugs.python.org fields:

activity = <Date 2017-10-24.12:13:37.774>
actor = 'meetaig'
assignee = 'none'
closed = False
closed_date = None
closer = None
components = []
creation = <Date 2017-10-24.12:13:37.774>
creator = 'meetaig'
dependencies = []
files = []
hgrepos = []
issue_num = 31859
keywords = []
message_count = 1.0
messages = ['304902']
nosy_count = 1.0
nosy_names = ['meetaig']
pr_nums = []
priority = 'normal'
resolution = None
stage = None
status = 'open'
superseder = None
type = 'behavior'
url = 'https://bugs.python.org/issue31859'
versions = ['Python 3.5', 'Python 3.6']

[meetaig]

In the initialization of a new RawArray the size_or_initializer parameter is tested for being an instance of int. When passing something like numpy.int64 here, the code crashes, because it does not recognize this as an integer. The workaround is to cast to int(). Wouldn't it be nicer to compare to types.IntType to allow for custom integer types?

def RawArray(typecode_or_type, size_or_initializer):
    '''
    Returns a ctypes array allocated from shared memory
    '''
    type_ = typecode_to_type.get(typecode_or_type, typecode_or_type)
-    if isinstance(size_or_initializer, int):
+    if size_or_initializer is IntType: