robottypes2.py

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#  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 Mapping
from UserDict import UserDict
from UserString import UserString
from types import ClassType, NoneType
 
try:
    from java.lang import String
except ImportError:
    String = ()
 
from .platform import RERAISED_EXCEPTIONS
 
 
def is_integer(item):
    return isinstance(item, (int, long))
 
 
def is_number(item):
    return isinstance(item, (int, long, float))
 
 
def is_bytes(item):
    return isinstance(item, (bytes, bytearray))
 
 
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))
 
 
def is_unicode(item):
    return isinstance(item, unicode)
 
 
def is_tuple(item):
    return isinstance(item, tuple)
 
 
def is_list_like(item):
    if isinstance(item, (str, unicode, bytes, bytearray, UserString, String,
                         file)):
        return False
    try:
        iter(item)
    except RERAISED_EXCEPTIONS:
        raise
    except:
        return False
    else:
        return True
 
 
def is_dict_like(item):
    return isinstance(item, (Mapping, UserDict))
 
 
def type_name(item):
    cls = item.__class__ if hasattr(item, '__class__') else type(item)
    named_types = {str: 'string', unicode: 'string', bool: 'boolean',
                   int: 'integer', long: 'integer', NoneType: 'None',
                   dict: 'dictionary', type: 'class', ClassType: 'class'}
    return named_types.get(cls, cls.__name__)