linse/frappy
3
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
frappy/test/test_datatypes.py
Markus Zolliker 97034fb998 implement SECoP proxy modules 
A proxy module is a module with a known structure, but
accessed over a SECoP connection.
For the configuration, a Frappy module class has to be given.
The proxy class is created from this, but does not inherit from it.
However, the class of the returned object will be subclass of the
SECoP base classes (Readable, Drivable etc.).
A possible extension might be, that instead of the Frappy class,
the JSON module description can be given, as a separate file
or directly in the config file.
Or we might offer a tool to convert the JSON description to
a python class.

Change-Id: I9212d9f3fe82ec56dfc08611d0e1efc0b0112271
Reviewed-on: https://forge.frm2.tum.de/review/c/sine2020/secop/playground/+/22386
Tested-by: JenkinsCodeReview <bjoern_pedersen@frm2.tum.de>
Reviewed-by: Markus Zolliker <markus.zolliker@psi.ch>
2020-02-07 12:46:04 +01:00

653 lines
22 KiB
Python
Raw Blame History

# -*- 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."""
# no fixtures needed
import pytest
from secop.datatypes import ArrayOf, BLOBType, BoolType, \
DataType, EnumType, FloatRange, IntRange, ProgrammingError, ConfigError, \
ScaledInteger, StringType, TextType, StructOf, TupleOf, get_datatype, CommandType
def copytest(dt):
assert repr(dt) == repr(dt.copy())
assert dt.export_datatype() == dt.copy().export_datatype()
assert dt != dt.copy()
def test_DataType():
dt = DataType()
with pytest.raises(NotImplementedError):
dt.export_datatype()
with pytest.raises(NotImplementedError):
dt('')
dt.export_value('')
dt.import_value('')
def test_FloatRange():
dt = FloatRange(-3.14, 3.14)
copytest(dt)
assert dt.export_datatype() == {'type': 'double', 'min':-3.14, 'max':3.14}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt(-9)
with pytest.raises(ValueError):
dt('XX')
with pytest.raises(ValueError):
dt([19, 'X'])
dt(1)
dt(0)
dt(13.14 - 10) # raises an error, if resolution is not handled correctly
assert dt.export_value(-2.718) == -2.718
assert dt.import_value(-2.718) == -2.718
with pytest.raises(ProgrammingError):
FloatRange('x', 'Y')
# check that unit can be changed
dt.setProperty('unit', 'K')
assert dt.export_datatype() == {'type': 'double', 'min':-3.14, 'max':3.14, 'unit': 'K'}
with pytest.raises(KeyError):
dt.setProperty('visibility', 0)
dt.setProperty('absolute_resolution', 0)
dt = FloatRange()
copytest(dt)
assert dt.export_datatype() == {'type': 'double'}
dt = FloatRange(unit='X', fmtstr='%.2f', absolute_resolution=1,
relative_resolution=0.1)
copytest(dt)
assert dt.export_datatype() == {'type': 'double', 'unit':'X', 'fmtstr':'%.2f',
'absolute_resolution':1.0,
'relative_resolution':0.1}
assert dt(4) == 4
assert dt.format_value(3.14) == '3.14 X'
assert dt.format_value(3.14, '') == '3.14'
assert dt.format_value(3.14, '#') == '3.14 #'
dt.setProperty('min', 1)
dt.setProperty('max', 0)
with pytest.raises(ConfigError):
dt.checkProperties()
with pytest.raises(ProgrammingError):
FloatRange(resolution=1)
def test_IntRange():
dt = IntRange(-3, 3)
copytest(dt)
assert dt.export_datatype() == {'type': 'int', 'min':-3, 'max':3}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt(-9)
with pytest.raises(ValueError):
dt('XX')
with pytest.raises(ValueError):
dt([19, 'X'])
dt(1)
dt(0)
with pytest.raises(ProgrammingError):
IntRange('xc', 'Yx')
dt = IntRange()
copytest(dt)
assert dt.export_datatype()['type'] == 'int'
assert dt.export_datatype()['min'] < 0 < dt.export_datatype()['max']
assert dt.export_datatype() == {'type': 'int', 'max': 16777216,'min': -16777216}
assert dt.format_value(42) == '42'
dt.setProperty('min', 1)
dt.setProperty('max', 0)
with pytest.raises(ConfigError):
dt.checkProperties()
def test_ScaledInteger():
dt = ScaledInteger(0.01, -3, 3)
copytest(dt)
# serialisation of datatype contains limits on the 'integer' value
assert dt.export_datatype() == {'type': 'scaled', 'scale':0.01, 'min':-300, 'max':300}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt(-9)
with pytest.raises(ValueError):
dt('XX')
with pytest.raises(ValueError):
dt([19, 'X'])
dt(1)
dt(0)
with pytest.raises(ValueError):
ScaledInteger('xc', 'Yx')
with pytest.raises(ProgrammingError):
ScaledInteger(scale=0, minval=1, maxval=2)
with pytest.raises(ProgrammingError):
ScaledInteger(scale=-10, minval=1, maxval=2)
# check that unit can be changed
dt.setProperty('unit', 'A')
assert dt.export_datatype() == {'type': 'scaled', 'scale':0.01, 'min':-300, 'max':300,
'unit': 'A'}
assert dt.export_value(0.0001) == int(0)
assert dt.export_value(2.71819) == int(272)
assert dt.import_value(272) == 2.72
dt.setProperty('scale', 0.1)
assert dt.export_datatype() == {'type': 'scaled', 'scale':0.1, 'min':-30, 'max':30,
'unit':'A'}
assert dt.absolute_resolution == dt.scale
dt = ScaledInteger(0.003, 0, 1, unit='X', fmtstr='%.1f',
absolute_resolution=0.001, relative_resolution=1e-5)
copytest(dt)
assert dt.export_datatype() == {'type': 'scaled', 'scale':0.003, 'min':0, 'max':333,
'unit':'X', 'fmtstr':'%.1f',
'absolute_resolution':0.001,
'relative_resolution':1e-5}
assert dt(0.4) == 0.399
assert dt.format_value(0.4) == '0.4 X'
assert dt.format_value(0.4, '') == '0.4'
assert dt.format_value(0.4, 'Z') == '0.4 Z'
assert dt(1.0029) == 0.999
with pytest.raises(ValueError):
dt(1.004)
dt.setProperty('min', 1)
dt.setProperty('max', 0)
with pytest.raises(ConfigError):
dt.checkProperties()
with pytest.raises(ValueError):
dt.setProperty('scale', None)
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)
copytest(dt)
assert dt.export_datatype() == {'type': 'enum', 'members': dict(a=3, c=7, stuff=1)}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt(-9)
with pytest.raises(ValueError):
dt('XX')
with pytest.raises(ValueError):
dt([19, 'X'])
assert dt('a') == 3
assert dt('stuff') == 1
assert dt(1) == 1
with pytest.raises(ValueError):
dt(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')
assert dt.format_value(3) == 'a<3>'
def test_BLOBType():
# test constructor catching illegal arguments
dt = BLOBType()
copytest(dt)
assert dt.export_datatype() == {'type': 'blob', 'maxbytes':255}
dt = BLOBType(10)
copytest(dt)
assert dt.export_datatype() == {'type': 'blob', 'minbytes':10, 'maxbytes':10}
dt = BLOBType(3, 10)
copytest(dt)
assert dt.export_datatype() == {'type': 'blob', 'minbytes':3, 'maxbytes':10}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt(b'av')
with pytest.raises(ValueError):
dt(b'abcdefghijklmno')
with pytest.raises(ValueError):
dt('abcd')
assert dt(b'abcd') == b'abcd'
dt.setProperty('minbytes', 1)
dt.setProperty('maxbytes', 0)
with pytest.raises(ConfigError):
dt.checkProperties()
assert dt.export_value(b'abcd') == 'YWJjZA=='
assert dt.export_value(b'abcd') == 'YWJjZA=='
# assert dt.export_value('abcd') == 'YWJjZA=='
assert dt.import_value('YWJjZA==') == b'abcd'
# XXX: right? or different format?
# to be added after migration to py3
# assert dt.format_value(b'ab\0cd') == "b'ab\\x00cd\'"
def test_StringType():
# test constructor catching illegal arguments
dt = StringType()
copytest(dt)
assert dt.export_datatype() == {'type': 'string'}
dt = StringType(12)
copytest(dt)
assert dt.export_datatype() == {'type': 'string', 'minchars':12, 'maxchars':12}
dt = StringType(4, 11)
copytest(dt)
assert dt.export_datatype() == {'type': 'string', 'minchars':4, 'maxchars':11}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt('av')
with pytest.raises(ValueError):
dt('abcdefghijklmno')
with pytest.raises(ValueError):
dt('abcdefg\0')
assert dt('abcd') == 'abcd'
# tests with bytes have to be added after migration to py3
#assert dt(b'abcd') == 'abcd'
assert dt.export_value('abcd') == 'abcd'
# assert dt.export_value(b'abcd') == 'abcd'
assert dt.import_value('abcd') == 'abcd'
assert dt.format_value('abcd') == "'abcd'"
dt.setProperty('minchars', 1)
dt.setProperty('maxchars', 0)
with pytest.raises(ConfigError):
dt.checkProperties()
def test_TextType():
# test constructor catching illegal arguments
dt = TextType(12)
copytest(dt)
assert dt.export_datatype() == {'type': 'string', 'maxchars':12}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt('abcdefghijklmno')
with pytest.raises(ValueError):
dt('abcdefg\0')
assert dt('ab\n\ncd\n') == 'ab\n\ncd\n'
# assert dt(b'ab\n\ncd\n') == 'ab\n\ncd\n'
assert dt.export_value('abcd') == 'abcd'
# assert dt.export_value(b'abcd') == b'abcd'
assert dt.export_value('abcd') == 'abcd'
assert dt.import_value('abcd') == 'abcd'
def test_BoolType():
# test constructor catching illegal arguments
dt = BoolType()
copytest(dt)
assert dt.export_datatype() == {'type': 'bool'}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt('av')
assert dt('true') is True
assert dt('off') is False
assert dt(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')
assert dt.format_value(0) == "False"
assert dt.format_value(True) == "True"
with pytest.raises(TypeError):
# pylint: disable=unexpected-keyword-arg
BoolType(unit='K')
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)
copytest(dt)
assert dt.export_datatype() == {'type': 'array', 'minlen':5, 'maxlen':5,
'members': {'type': 'int', 'min':-10,
'max':10}}
dt = ArrayOf(FloatRange(-10, 10, unit='Z'), 1, 3)
copytest(dt)
assert dt.export_datatype() == {'type': 'array', 'minlen':1, 'maxlen':3,
'members':{'type': 'double', 'min':-10,
'max':10, 'unit': 'Z'}}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt('av')
assert dt([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]
assert dt.format_value([1,2,3]) == '[1, 2, 3] Z'
assert dt.format_value([1,2,3], '') == '[1, 2, 3]'
assert dt.format_value([1,2,3], 'Q') == '[1, 2, 3] Q'
dt = ArrayOf(FloatRange(unit='K'))
assert dt.members.unit == 'K'
dt.setProperty('unit', 'mm')
with pytest.raises(TypeError):
# pylint: disable=unexpected-keyword-arg
ArrayOf(BoolType(), unit='K')
dt.setProperty('minlen', 1)
dt.setProperty('maxlen', 0)
with pytest.raises(ConfigError):
dt.checkProperties()
dt = ArrayOf(EnumType('myenum', single=0), 5)
copytest(dt)
def test_TupleOf():
# test constructor catching illegal arguments
with pytest.raises(ValueError):
TupleOf(2)
dt = TupleOf(IntRange(-10, 10), BoolType())
copytest(dt)
assert dt.export_datatype() == {'type': 'tuple',
'members':[{'type': 'int', 'min':-10, 'max':10}, {'type': 'bool'}]}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt([99, 'X'])
assert dt([1, True]) == [1, True]
assert dt.export_value([1, True]) == [1, True]
assert dt.import_value([1, True]) == [1, True]
assert dt.format_value([3,0]) == "(3, False)"
dt = TupleOf(EnumType('myenum', single=0))
copytest(dt)
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'])
copytest(dt)
assert dt.export_datatype() == {'type': 'struct',
'members':{'a_string': {'type': 'string', 'maxchars':55},
'an_int': {'type': 'int', 'min':0, 'max':999}},
'optional':['an_int']}
with pytest.raises(ValueError):
dt(9)
with pytest.raises(ValueError):
dt([99, 'X'])
with pytest.raises(ValueError):
dt(dict(a_string='XXX', an_int=1811))
assert dt(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}
assert dt.format_value({'an_int':2, 'a_string':'Z'}) == "{a_string='Z', an_int=2}"
dt = StructOf(['optionalmember'], optionalmember=EnumType('myenum', single=0))
copytest(dt)
def test_Command():
dt = CommandType()
assert dt.export_datatype() == {'type': 'command'}
dt = CommandType(IntRange(-1,1))
assert dt.export_datatype() == {'type': 'command', 'argument':{'type': 'int', 'min':-1, 'max':1}}
dt = CommandType(IntRange(-1,1), IntRange(-3,3))
assert dt.export_datatype() == {'type': 'command',
'argument':{'type': 'int', 'min':-1, 'max':1},
'result':{'type': 'int', 'min':-3, 'max':3}}
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({'type': 'bool'}), BoolType)
with pytest.raises(ValueError):
get_datatype(['bool'])
with pytest.raises(ValueError):
get_datatype({'type': 'int', 'min':-10}) # missing max
with pytest.raises(ValueError):
get_datatype({'type': 'int', 'max':10}) # missing min
assert isinstance(get_datatype({'type': 'int', 'min':-10, 'max':10}), IntRange)
with pytest.raises(ValueError):
get_datatype({'type': 'int', 'min':10, 'max':-10}) # min > max
with pytest.raises(ValueError):
get_datatype({'type': 'int'}) # missing limits
with pytest.raises(ValueError):
get_datatype({'type': 'int', 'x': 2})
assert isinstance(get_datatype({'type': 'double'}), FloatRange)
assert isinstance(get_datatype({'type': 'double', 'min':-2.718}), FloatRange)
assert isinstance(get_datatype({'type': 'double', 'max':3.14}), FloatRange)
assert isinstance(get_datatype({'type': 'double', 'min':-9.9, 'max':11.1}),
FloatRange)
with pytest.raises(ValueError):
get_datatype(['double'])
with pytest.raises(ValueError):
get_datatype({'type': 'double', 'min':10, 'max':-10})
with pytest.raises(ValueError):
get_datatype(['double', {}, 2])
with pytest.raises(ValueError):
get_datatype({'type': 'scaled', 'scale':0.01, 'min':-2.718})
with pytest.raises(ValueError):
get_datatype({'type': 'scaled', 'scale':0.02, 'max':3.14})
assert isinstance(get_datatype(
{'type': 'scaled', 'scale':0.03, 'min':-99, 'max':111}), ScaledInteger)
dt = ScaledInteger(scale=0.03, minval=0, maxval=9.9)
assert dt.export_datatype() == {'type': 'scaled', 'max':330, 'min':0, 'scale':0.03}
assert get_datatype(dt.export_datatype()).export_datatype() == dt.export_datatype()
with pytest.raises(ValueError):
get_datatype(['scaled']) # dict missing
with pytest.raises(ValueError):
get_datatype({'type': 'scaled', 'min':-10, 'max':10}) # no scale
with pytest.raises(ValueError):
get_datatype({'type': 'scaled', 'min':10, 'max':-10, 'scale': 1}) # limits reversed
with pytest.raises(ValueError):
get_datatype(['scaled', {'min':10, 'max':-10, 'scale': 1}, 2])
with pytest.raises(ValueError):
get_datatype(['enum'])
with pytest.raises(ValueError):
get_datatype({'type': 'enum', 'a': -2})
assert isinstance(get_datatype({'type': 'enum', 'members':dict(a=-2)}), EnumType)
assert isinstance(get_datatype({'type': 'blob', 'maxbytes':1}), BLOBType)
assert isinstance(get_datatype({'type': 'blob', 'minbytes':1, 'maxbytes':10}), BLOBType)
with pytest.raises(ValueError):
get_datatype({'type': 'blob', 'minbytes':10, 'maxbytes':1})
with pytest.raises(ValueError):
get_datatype({'type': 'blob', 'minbytes':10, 'maxbytes':-10})
with pytest.raises(ValueError):
get_datatype(['blob', {'maxbytes':10}, 'x'])
assert isinstance(get_datatype({'type': 'string', 'maxchars':1}), StringType)
assert isinstance(get_datatype({'type': 'string', 'maxchars':1}), StringType)
assert isinstance(get_datatype({'type': 'string', 'minchars':1, 'maxchars':10}), StringType)
with pytest.raises(ValueError):
get_datatype({'type': 'string', 'minchars':10, 'maxchars':1})
with pytest.raises(ValueError):
get_datatype({'type': 'string', 'minchars':10, 'maxchars':-10})
with pytest.raises(ValueError):
get_datatype(['string', {'maxchars':-0}, 'x'])
with pytest.raises(ValueError):
get_datatype(['array'])
with pytest.raises(ValueError):
get_datatype({'type': 'array', 'members': [1]})
assert isinstance(get_datatype({'type': 'array', 'minlen':1, 'maxlen':1,
'members':{'type': 'blob', 'maxbytes':1}}
), ArrayOf)
assert isinstance(get_datatype({'type': 'array', 'minlen':1, 'maxlen':1,
'members':{'type': 'blob', 'maxbytes':1}}
).members, BLOBType)
with pytest.raises(ValueError):
get_datatype({'type': 'array', 'members':{'type': 'blob', 'maxbytes':1}, 'minbytes':-10})
with pytest.raises(ValueError):
get_datatype({'type': 'array', 'members':{'type': 'blob', 'maxbytes':1},
'min':10, 'max':1})
with pytest.raises(ValueError):
get_datatype({'type': 'array', 'blob': dict(max=4), 'maxbytes': 10})
with pytest.raises(ValueError):
get_datatype(['tuple'])
with pytest.raises(ValueError):
get_datatype(['tuple', [1], 2, 3])
assert isinstance(get_datatype(
{'type': 'tuple', 'members':[{'type': 'blob', 'maxbytes':1}]}), TupleOf)
assert isinstance(get_datatype(
{'type': 'tuple', 'members':[{'type': 'blob', 'maxbytes':1}]}).members[0], BLOBType)
with pytest.raises(ValueError):
get_datatype({'type': 'tuple', 'members': {}})
with pytest.raises(ValueError):
get_datatype(['tuple', 10, -10])
assert isinstance(get_datatype({'type': 'tuple', 'members':[{'type': 'blob', 'maxbytes':1},
{'type': 'bool'}]}), TupleOf)
with pytest.raises(ValueError):
get_datatype(['struct'])
with pytest.raises(ValueError):
get_datatype(['struct', [1], 2, 3])
assert isinstance(get_datatype({'type': 'struct', 'members':
{'name': {'type': 'blob', 'maxbytes':1}}}), StructOf)
assert isinstance(get_datatype({'type': 'struct', 'members':
{'name': {'type': 'blob', 'maxbytes':1}}}).members['name'], BLOBType)
with pytest.raises(ValueError):
get_datatype({'type': 'struct', 'members': {}})
with pytest.raises(ValueError):
get_datatype({'type': 'struct', 'members':[1,2,3]})
@pytest.mark.parametrize('dt, contained_in', [
(FloatRange(-10, 10), FloatRange()),
(IntRange(-10, 10), FloatRange()),
(IntRange(-10, 10), IntRange(-20, 10)),
(StringType(), StringType(isUTF8=True)),
(StringType(10, 10), StringType()),
(ArrayOf(StringType(), 3, 5), ArrayOf(StringType(), 3, 6)),
(TupleOf(StringType(), BoolType()), TupleOf(StringType(), IntRange())),
(StructOf(a=FloatRange(-1,1)), StructOf(a=FloatRange(), b=BoolType(), optional=['b'])),
])
def test_oneway_compatible(dt, contained_in):
dt.compatible(contained_in)
with pytest.raises(ValueError):
contained_in.compatible(dt)
@pytest.mark.parametrize('dt1, dt2', [
(FloatRange(-5.5, 5.5), ScaledInteger(10, -5.5, 5.5)),
(IntRange(0,1), BoolType()),
(IntRange(-10, 10), IntRange(-10, 10)),
])
def test_twoway_compatible(dt1, dt2):
dt1.compatible(dt1)
dt2.compatible(dt2)
@pytest.mark.parametrize('dt1, dt2', [
(StringType(), FloatRange()),
(IntRange(-10, 10), StringType()),
(StructOf(a=BoolType(), b=BoolType()), ArrayOf(StringType(), 2)),
(ArrayOf(BoolType(), 2), TupleOf(BoolType(), StringType())),
(TupleOf(BoolType(), BoolType()), StructOf(a=BoolType(), b=BoolType())),
(ArrayOf(StringType(), 3), ArrayOf(BoolType(), 3)),
(TupleOf(StringType(), BoolType()), TupleOf(BoolType(), BoolType())),
(StructOf(a=FloatRange(-1, 1), b=StringType()), StructOf(a=FloatRange(), b=BoolType())),
])
def test_incompatible(dt1, dt2):
with pytest.raises(ValueError):
dt1.compatible(dt2)
with pytest.raises(ValueError):
dt2.compatible(dt1)
Reference in New Issue View Git Blame Copy Permalink