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frappy/test/test_datatypes.py
Enrico Faulhaber 58bae697c9 Implement ScaledInteger type 
Change-Id: I14d55d2427017e1e07f947504348804c3e66848e
Reviewed-on: https://forge.frm2.tum.de/review/20225
Tested-by: JenkinsCodeReview <bjoern_pedersen@frm2.tum.de>
Reviewed-by: Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
2019-03-27 11:12:08 +01:00

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# -*- coding: utf-8 -*-
# *****************************************************************************
#
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation; either version 2 of the License, or (at your option) any later
# version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
#
# You should have received a copy of the GNU General Public License along with
# this program; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#
# Module authors:
# Enrico Faulhaber <enrico.faulhaber@frm2.tum.de>
#
# *****************************************************************************
"""test data types."""
from __future__ import division, print_function
# no fixtures needed
import pytest
from secop.datatypes import ArrayOf, BLOBType, BoolType, \
DataType, EnumType, FloatRange, IntRange, ProgrammingError, \
StringType, StructOf, TupleOf, get_datatype, ScaledInteger
def test_DataType():
dt = DataType()
assert dt.as_json == ['undefined']
with pytest.raises(NotImplementedError):
dt = DataType()
dt.validate('')
dt.export_value('')
dt.import_value('')
def test_FloatRange():
dt = FloatRange(-3.14, 3.14)
assert dt.as_json == ['double', {'min':-3.14, 'max':3.14}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate('XX')
with pytest.raises(ValueError):
dt.validate([19, 'X'])
dt.validate(1)
dt.validate(0)
assert dt.export_value(-2.718) == -2.718
assert dt.import_value(-2.718) == -2.718
with pytest.raises(ValueError):
FloatRange('x', 'Y')
dt = FloatRange()
assert dt.as_json == ['double', {}]
def test_IntRange():
dt = IntRange(-3, 3)
assert dt.as_json == ['int', {'min':-3, 'max':3}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate('XX')
with pytest.raises(ValueError):
dt.validate([19, 'X'])
dt.validate(1)
dt.validate(0)
with pytest.raises(ValueError):
IntRange('xc', 'Yx')
dt = IntRange()
assert dt.as_json[0] == 'int'
assert dt.as_json[1]['min'] < 0 < dt.as_json[1]['max']
def test_ScaledInteger():
dt = ScaledInteger(0.01, -3, 3)
# serialisation of datatype contains limits on the 'integer' value
assert dt.as_json == ['scaled', {'scale':0.01, 'min':-300, 'max':300}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate('XX')
with pytest.raises(ValueError):
dt.validate([19, 'X'])
dt.validate(1)
dt.validate(0)
with pytest.raises(ValueError):
ScaledInteger('xc', 'Yx')
with pytest.raises(ValueError):
ScaledInteger(scale=0, minval=1, maxval=2)
with pytest.raises(ValueError):
ScaledInteger(scale=-10, minval=1, maxval=2)
assert dt.export_value(0.0001) == int(0)
assert dt.export_value(2.71819) == int(272)
assert dt.import_value(272) == 2.72
def test_EnumType():
# test constructor catching illegal arguments
with pytest.raises(TypeError):
EnumType(1)
with pytest.raises(TypeError):
EnumType(['b', 0])
dt = EnumType('dt', a=3, c=7, stuff=1)
assert dt.as_json == ['enum', dict(members=dict(a=3, c=7, stuff=1))]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate(-9)
with pytest.raises(ValueError):
dt.validate('XX')
with pytest.raises(TypeError):
dt.validate([19, 'X'])
assert dt.validate('a') == 3
assert dt.validate('stuff') == 1
assert dt.validate(1) == 1
with pytest.raises(ValueError):
dt.validate(2)
assert dt.export_value('c') == 7
assert dt.export_value('stuff') == 1
assert dt.export_value(1) == 1
assert dt.import_value('c') == 7
assert dt.import_value('a') == 3
assert dt.import_value('stuff') == 1
with pytest.raises(ValueError):
dt.export_value(2)
with pytest.raises(ValueError):
dt.import_value('A')
def test_BLOBType():
# test constructor catching illegal arguments
dt = BLOBType()
assert dt.as_json == ['blob', {'min':0, 'max':255}]
dt = BLOBType(10)
assert dt.as_json == ['blob', {'min':10, 'max':10}]
dt = BLOBType(3, 10)
assert dt.as_json == ['blob', {'min':3, 'max':10}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate('av')
with pytest.raises(ValueError):
dt.validate('abcdefghijklmno')
assert dt.validate('abcd') == b'abcd'
assert dt.validate(b'abcd') == b'abcd'
assert dt.validate(u'abcd') == b'abcd'
assert dt.export_value('abcd') == 'YWJjZA=='
assert dt.export_value(b'abcd') == 'YWJjZA=='
assert dt.export_value(u'abcd') == 'YWJjZA=='
assert dt.import_value('YWJjZA==') == 'abcd'
def test_StringType():
# test constructor catching illegal arguments
dt = StringType()
dt = StringType(12)
assert dt.as_json == ['string', {'min':12, 'max':12}]
dt = StringType(4, 11)
assert dt.as_json == ['string', {'min':4, 'max':11}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate('av')
with pytest.raises(ValueError):
dt.validate('abcdefghijklmno')
with pytest.raises(ValueError):
dt.validate('abcdefg\0')
assert dt.validate('abcd') == b'abcd'
assert dt.validate(b'abcd') == b'abcd'
assert dt.validate(u'abcd') == b'abcd'
assert dt.export_value('abcd') == b'abcd'
assert dt.export_value(b'abcd') == b'abcd'
assert dt.export_value(u'abcd') == b'abcd'
assert dt.import_value(u'abcd') == 'abcd'
def test_BoolType():
# test constructor catching illegal arguments
dt = BoolType()
assert dt.as_json == ['bool', {}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate('av')
assert dt.validate('true') is True
assert dt.validate('off') is False
assert dt.validate(1) is True
assert dt.export_value('false') is False
assert dt.export_value(0) is False
assert dt.export_value('on') is True
assert dt.import_value(False) is False
assert dt.import_value(True) is True
with pytest.raises(ValueError):
dt.import_value('av')
def test_ArrayOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
ArrayOf(int)
with pytest.raises(ValueError):
ArrayOf(-3, IntRange(-10,10))
dt = ArrayOf(IntRange(-10, 10), 5)
assert dt.as_json == ['array', {'min':5, 'max':5, 'members':['int', {'min':-10, 'max':10}]}]
dt = ArrayOf(IntRange(-10, 10), 1, 3)
assert dt.as_json == ['array', {'min':1, 'max':3, 'members':['int', {'min':-10, 'max':10}]}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate('av')
assert dt.validate([1, 2, 3]) == [1, 2, 3]
assert dt.export_value([1, 2, 3]) == [1, 2, 3]
assert dt.import_value([1, 2, 3]) == [1, 2, 3]
def test_TupleOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
TupleOf(2)
dt = TupleOf(IntRange(-10, 10), BoolType())
assert dt.as_json == ['tuple', {'members':[['int', {'min':-10, 'max':10}], ['bool', {}]]}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate([99, 'X'])
assert dt.validate([1, True]) == [1, True]
assert dt.export_value([1, True]) == [1, True]
assert dt.import_value([1, True]) == [1, True]
def test_StructOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
StructOf(IntRange) # pylint: disable=E1121
with pytest.raises(ProgrammingError):
StructOf(IntRange=1)
dt = StructOf(a_string=StringType(0, 55), an_int=IntRange(0, 999), optional=['an_int'])
assert dt.as_json == [u'struct', {'members':{u'a_string': [u'string', {'min':0, 'max':55}],
u'an_int': [u'int', {'min':0, 'max':999}],},
'optional':['an_int'],
}]
with pytest.raises(ValueError):
dt.validate(9)
with pytest.raises(ValueError):
dt.validate([99, 'X'])
with pytest.raises(ValueError):
dt.validate(dict(a_string='XXX', an_int=1811))
assert dt.validate(dict(a_string='XXX', an_int=8)) == {'a_string': 'XXX',
'an_int': 8}
assert dt.export_value({'an_int': 13, 'a_string': 'WFEC'}) == {'a_string': 'WFEC', 'an_int': 13}
assert dt.import_value({'an_int': 13, 'a_string': 'WFEC'}) == {'a_string': 'WFEC', 'an_int': 13}
def test_get_datatype():
with pytest.raises(ValueError):
get_datatype(1)
with pytest.raises(ValueError):
get_datatype(True)
with pytest.raises(ValueError):
get_datatype(str)
with pytest.raises(ValueError):
get_datatype(['undefined'])
assert isinstance(get_datatype(['bool', {}]), BoolType)
with pytest.raises(ValueError):
get_datatype(['bool'])
with pytest.raises(ValueError):
get_datatype(['bool', 3])
with pytest.raises(ValueError):
get_datatype(['int', {'min':-10}])
with pytest.raises(ValueError):
get_datatype(['int', {'max':10}])
assert isinstance(get_datatype(['int', {'min':-10, 'max':10}]), IntRange)
with pytest.raises(ValueError):
get_datatype(['int', {'min':10, 'max':-10}])
with pytest.raises(ValueError):
get_datatype(['int'])
with pytest.raises(ValueError):
get_datatype(['int', {}])
with pytest.raises(ValueError):
get_datatype(['int', 1, 2])
assert isinstance(get_datatype(['double', {}]), FloatRange)
assert isinstance(get_datatype(['double', {'min':-2.718}]), FloatRange)
assert isinstance(get_datatype(['double', {'max':3.14}]), FloatRange)
assert isinstance(get_datatype(['double', {'min':-9.9, 'max':11.1}]), FloatRange)
with pytest.raises(ValueError):
get_datatype(['double'])
with pytest.raises(ValueError):
get_datatype(['double', {'min':10, 'max':-10}])
with pytest.raises(ValueError):
get_datatype(['double', 1, 2])
with pytest.raises(ValueError):
get_datatype(['scaled', {'scale':0.01,'min':-2.718}])
with pytest.raises(ValueError):
get_datatype(['scaled', {'scale':0.02,'max':3.14}])
assert isinstance(get_datatype(['scaled', {'scale':0.03,'min':-99, 'max':111}]), ScaledInteger)
dt = ScaledInteger(scale=0.03, minval=0, maxval=9.9)
assert dt.as_json == ['scaled', {'max':330, 'min':0, 'scale':0.03}]
assert get_datatype(dt.as_json).as_json == dt.as_json
with pytest.raises(ValueError):
get_datatype(['scaled']) # dict missing
with pytest.raises(ValueError):
get_datatype(['scaled', {'min':-10, 'max':10}]) # no scale
with pytest.raises(ValueError):
get_datatype(['scaled', {'min':10, 'max':-10}]) # limits reversed
with pytest.raises(ValueError):
get_datatype(['scaled', {}, 1, 2]) # trailing data
with pytest.raises(ValueError):
get_datatype(['enum'])
with pytest.raises(ValueError):
get_datatype(['enum', dict(a=-2)])
assert isinstance(get_datatype(['enum', {'members':dict(a=-2)}]), EnumType)
with pytest.raises(ValueError):
get_datatype(['enum', 10, -10])
with pytest.raises(ValueError):
get_datatype(['enum', [1, 2, 3]])
assert isinstance(get_datatype(['blob', {'max':1}]), BLOBType)
assert isinstance(get_datatype(['blob', {'min':1, 'max':10}]), BLOBType)
with pytest.raises(ValueError):
get_datatype(['blob', {'min':10, 'max':1}])
with pytest.raises(ValueError):
get_datatype(['blob', {'min':10, 'max':-10}])
with pytest.raises(ValueError):
get_datatype(['blob', 10, -10, 1])
with pytest.raises(ValueError):
get_datatype(['string'])
assert isinstance(get_datatype(['string', {'min':1}]), StringType)
assert isinstance(get_datatype(['string', {'min':1, 'max':10}]), StringType)
with pytest.raises(ValueError):
get_datatype(['string', {'min':10, 'max':1}])
with pytest.raises(ValueError):
get_datatype(['string', {'min':10, 'max':-10}])
with pytest.raises(ValueError):
get_datatype(['string', 10, -10, 1])
with pytest.raises(ValueError):
get_datatype(['array'])
with pytest.raises(ValueError):
get_datatype(['array', 1])
with pytest.raises(ValueError):
get_datatype(['array', [1], 2, 3])
assert isinstance(get_datatype(['array', {'min':1, 'max':1, 'members':['blob', {'max':1}]}]), ArrayOf)
assert isinstance(get_datatype(['array', {'min':1, 'max':1, 'members':['blob', {'max':1}]}]).subtype, BLOBType)
with pytest.raises(ValueError):
get_datatype(['array', {'members':['blob', {'max':1}], 'min':-10}])
with pytest.raises(ValueError):
get_datatype(['array', {'members':['blob', {'max':1}], 'min':10, 'max':1}])
with pytest.raises(ValueError):
get_datatype(['array', ['blob', 1], 10, -10])
with pytest.raises(ValueError):
get_datatype(['tuple'])
with pytest.raises(ValueError):
get_datatype(['tuple', 1])
with pytest.raises(ValueError):
get_datatype(['tuple', [1], 2, 3])
assert isinstance(get_datatype(['tuple', {'members':[['blob', {'max':1}]]}]), TupleOf)
assert isinstance(get_datatype(['tuple', {'members':[['blob', {'max':1}]]}]).subtypes[0], BLOBType)
with pytest.raises(ValueError):
get_datatype(['tuple', {}])
with pytest.raises(ValueError):
get_datatype(['tuple', 10, -10])
assert isinstance(get_datatype(['tuple', {'members':[['blob', {'max':1}], ['bool',{}]]}]), TupleOf)
with pytest.raises(ValueError):
get_datatype(['struct'])
with pytest.raises(ValueError):
get_datatype(['struct', 1])
with pytest.raises(ValueError):
get_datatype(['struct', [1], 2, 3])
assert isinstance(get_datatype(['struct', {'members':{'name': ['blob', {'max':1}]}}]), StructOf)
assert isinstance(get_datatype(['struct', {'members':{'name': ['blob', {'max':1}]}}]).named_subtypes['name'], BLOBType)
with pytest.raises(ValueError):
get_datatype(['struct', {}])
with pytest.raises(ValueError):
get_datatype(['struct', {'members':[1,2,3]}])
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