# Copyright 2008-2015 Nokia Networks
# Copyright 2016- Robot Framework Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from collections import Iterable, Mapping, MutableMapping, Sequence
from UserDict import UserDict
from UserString import UserString
from types import ClassType, NoneType
try:
from java.lang import String
except ImportError:
String = ()
try:
from typing_extensions import TypedDict
except ImportError:
typeddict_types = ()
else:
typeddict_types = (type(TypedDict('Dummy')),)
from .platform import RERAISED_EXCEPTIONS
[docs]def is_integer(item):
return isinstance(item, (int, long))
[docs]def is_number(item):
return isinstance(item, (int, long, float))
[docs]def is_bytes(item):
return isinstance(item, (bytes, bytearray))
[docs]def is_string(item):
# Returns False with `b'bytes'` on IronPython on purpose. Results of
# `isinstance(item, basestring)` would depend on IronPython 2.7.x version.
return isinstance(item, (str, unicode))
[docs]def is_unicode(item):
return isinstance(item, unicode)
[docs]def is_pathlike(item):
return False
[docs]def is_list_like(item):
if isinstance(item, (str, unicode, bytes, bytearray, UserString, String,
file)):
return False
return isinstance(item, (Iterable, UserDict))
[docs]def is_dict_like(item):
return isinstance(item, (Mapping, UserDict))
[docs]def type_name(item, capitalize=False):
if isinstance(item, (type, ClassType)):
typ = item
elif hasattr(item, '__class__'):
typ = item.__class__
else:
typ = type(item)
named_types = {str: 'string', unicode: 'string', bool: 'boolean',
int: 'integer', long: 'integer', NoneType: 'None',
dict: 'dictionary'}
name = named_types.get(typ, typ.__name__.strip('_'))
return name.capitalize() if capitalize and name.islower() else name