# from enthought.units.length import meter
code = "from enthought.block_canvas.debug.my_operator import add, mul\n" \
"c = add(a,b)\n" \
"d = mul(c, 2)\n" \
"e = mul(c, 3)\n" \
"f = add(d,e)"
block=Block(code)
# context = ParametricContext(GeoContext(), {})
# context['a'] = UnitArray((1,2,3), units=meter)
# context['b'] = UnitArray((2,3,4), units=meter)
#
# interactor = ParametricInteractor(context=context, block = block)
# interactor.configure_traits()
# Context setup.
context = MultiContext(DataContext(name='Data'),{})
context['a'] = 1
context['b'] = 2
interactor = ParametricInteractor(context=context, block = block)
interactor.configure_traits()
for shadow in context.shadows:
block.execute(shadow)
print shadow['f'], 'Check with:', 5*(shadow['a']+shadow['b'])
### EOF ------------------------------------------------------------------------
class ParametricInteractorTestCase(unittest.TestCase):
""" Unit testing for ParametricInteractor
"""
def setUp(self):
code = "from enthought.block_canvas.debug.my_operator import add, mul\n" \
"c = add(a,b)\n" \
"d = mul(c, 2)\n" \
"e = mul(c, 3)\n" \
"f = add(d,e)"
self.block=Block(code)
# Context setup.
self.context = MultiContext(DataContext(name='Data'),{})
self.context['a'] = 1
self.context['b'] = 2
def test_attributes(self):
""" Test if creation of attributes is working correctly
"""
interactor = ParametricInteractor(context=self.context,block=self.block)
self.assertTrue(hasattr(interactor, interactor._input_prefix + "a"))
self.assertTrue(hasattr(interactor, interactor._input_prefix + "b"))
# Check if the parameter items were written correctly
attribute_a = getattr(interactor, interactor._input_prefix+'a')
attribute_b = getattr(interactor, interactor._input_prefix+'b')
self.assertEqual(attribute_a.step, 0)
self.assertEqual(attribute_a.low, 1)
self.assertEqual(attribute_a.high, 1)
self.assertEqual(attribute_b.step, 0)
self.assertEqual(attribute_b.low, 2)
self.assertEqual(attribute_b.high, 2)
# Check if the inputs in the interactor are right
self.assertEqual(interactor.inputs, list(self.block.inputs))
def test_create_shadows(self):
""" Test if creating shadows is working correctly
"""
interactor = ParametricInteractor(context=self.context,block=self.block)
# Change the parameters for the attributes
attribute_a = getattr(interactor, interactor._input_prefix+'a')
attribute_b = getattr(interactor, interactor._input_prefix+'b')
attribute_a.high = 4
attribute_a.step = 1
attribute_b.high = 3
attribute_b.step = 1
# Create the shadows.
interactor._update_contexts_button_changed()
# Check if the shadows were created correctly.
self.assertEqual(len(self.context.shadows),
len(attribute_a.output_list)*len(attribute_b.output_list))
# Check if the shadow context gives desired result.
self.block.execute(self.context.shadows[-1])
self.assertEqual(self.context.shadows[-1]['f'],
5*(self.context.shadows[-1]['a']+self.context.shadows[-1]['b']))
class ConfigurableInteractorTestCase(unittest.TestCase):
""" Unit testing for ConfigurableInteractor
"""
def setUp(self):
code = "from enthought.block_canvas.debug.my_operator import add,mul\n"\
"c = add(a, b)\n" \
"d = mul(c, 2)\n" \
"e = mul(c, 3)\n" \
"f = add(d, e)\n" \
"g = add(f, 3)\n" \
"h = mul(g, f)\n" \
"i = mul(g,h)"
self.block=Block(code)
# Context setup.
self.context = MultiContext(DataContext(name='Data'),{})
self.context['a'] = 1.0
self.context['b'] = 2
self.block.execute(self.context)
# ConfigurableInteractor setup
i_config = InteractorConfig(var_configs=[VariableConfig(name='a',
type='Shadow'),
VariableConfig(name='b',
type='Parametric'),
VariableConfig(name='c',
type='Shadow'),
VariableConfig(name='d',
type='Parametric'),
VariableConfig(name='e',
type='Stochastic: Constant'),
VariableConfig(name='f',
type='Stochastic: Gaussian'),
VariableConfig(name='g',
type='Stochastic: Triangular'),
VariableConfig(name='h',
type='Stochastic: Uniform'),
])
self.interactor = ConfigurableInteractor(interactor_config=i_config,
block=self.block,
context=self.context)
# Temp dir
self.temp_dir = tempfile.gettempdir()
def test_build_vars(self):
""" Does the interactor create the right traits for the types of
of interactors
"""
self.failUnless(isinstance(self.interactor.interactor_shadow,
ShadowInteractor))
self.failUnless(isinstance(self.interactor.interactor_parametric,
ParametricInteractor))
self.failUnless(isinstance(
self.interactor.interactor_stochastic_constant,StochasticInteractor))
self.failUnless(isinstance(
self.interactor.interactor_stochastic_gaussian,StochasticInteractor))
self.failUnless(isinstance(
self.interactor.interactor_stochastic_triangular,
StochasticInteractor))
self.failUnless(isinstance(
self.interactor.interactor_stochastic_uniform, StochasticInteractor))
def test_load_project_ranges_for_shadow_interactor(self):
""" Does loading ranges from file work for shadow interactor ?
"""
child_int = self.interactor.interactor_shadow
file_path = os.path.join(os.path.dirname(__file__), 'data',
'project_ranges.txt')
# Applying the ranges to the shadow interactor in the configurable
# interactor
self.interactor.load_ranges_from_files({'shadow':file_path})
child_int._view_items()
self.assertEqual(len(child_int.ranges.keys()), 42)
self.assertAlmostEqual(child_int.input_a__high, 5)
self.assertAlmostEqual(child_int.input_a__low, 3.4)
self.assertEqual(child_int.input_a, self.context['a'])
def test_save_project_ranges_for_shadow_interactor(self):
""" Does saving ranges to file work for shadow interactor ?
"""
child_int = self.interactor.interactor_shadow
f_path = os.path.join(self.temp_dir,'test_save_ranges_for_shadow.txt')
child_int._view_items()
child_int.input_a__high = 5.0
self.interactor.save_ranges_to_files({'shadow': f_path})
# Read the saved file
file_object = open(f_path, 'r')
line = file_object.read()
line = [name.strip() for name in line.split()]
file_object.close()
os.remove(f_path)
# Check results
self.assertEqual(len(line), 6)
self.assertEqual(line[2], str(5.0))
def test_load_project_ranges_for_parametric_interactor(self):
""" Does loading ranges from file work for parametric interactor ?
"""
child_int = self.interactor.interactor_parametric
file_path = os.path.join(os.path.dirname(__file__), 'data',
'project_ranges.txt')
self.interactor.load_ranges_from_files({'parametric': file_path})
child_int._view_items()
self.assertEqual(len(child_int.ranges.keys()), 42)
self.assertAlmostEqual(child_int.input_b.low, 1.0)
self.assertAlmostEqual(child_int.input_b.high, 6.0)
self.assertEqual(child_int.input_b.step, 0.0)
self.assertEqual(child_int.input_b.input_value, self.context['b'])
def test_save_project_ranges_for_parametric_interactor(self):
""" Does saving ranges to file work for parametric interactor ?
"""
file_path = os.path.join(self.temp_dir,
'test_save_ranges_for_parametric.txt')
child_int = self.interactor.interactor_parametric
child_int._view_items()
child_int.input_b.low = 2
child_int.input_b.high = 3
child_int.input_b.step = 0.5
self.interactor.save_ranges_to_files({'parametric':file_path})
# Read the saved file
file_object = open(file_path, 'r')
lines = file_object.readlines()
lines = [line.split() for line in lines]
file_object.close()
os.remove(file_path)
self.assertEqual(len(lines), 2)
self.assertEqual(len(lines[0]), 4)
self.assertEqual(len(lines[1]), 4)
self.assertEqual(lines[0][1], str(2))
self.assertEqual(lines[0][2], str(3))
self.assertEqual(lines[0][3], str(0))
def test_load_project_ranges_for_stochastic_constant_interactor(self):
""" Does loading parameters from file work for stochastic interactor
with constant distribution ?
"""
child_int = self.interactor.interactor_stochastic_constant
file_path = os.path.join(os.path.dirname(__file__), 'data',
'stochastic_constant_ranges.txt')
self.interactor.load_ranges_from_files({'stochastic_constant':
file_path})
child_int._view_items()
self.assertEqual(child_int.input_e.distribution.value, 45)
def test_save_project_ranges_for_stochastic_constant_interactor(self):
""" Does saving parameters to file work for stochastic interactor with
constant distribution ?
"""
file_path = os.path.join(self.temp_dir,
'test_save_ranges_for_stoch_constant.txt')
child_int = self.interactor.interactor_stochastic_constant
child_int._view_items()
child_int.input_e.distribution.value = 37.5
self.interactor.save_ranges_to_files({'stochastic_constant': file_path})
# Read the saved file
file_object = open(file_path, 'r')
lines = file_object.readlines()
lines = [line.split() for line in lines]
file_object.close()
os.remove(file_path)
self.assertEqual(len(lines), 1)
self.assertEqual(len(lines[0]), 2)
self.assertEqual(lines[0][1], str(37.5))
def test_load_project_ranges_for_stochastic_gaussian_interactor(self):
""" Does loading parameters from file work for stochastic interactor
with gaussian distribution ?
"""
child_int = self.interactor.interactor_stochastic_gaussian
file_path = os.path.join(os.path.dirname(__file__), 'data',
'stochastic_gaussian_ranges.txt')
self.interactor.load_ranges_from_files({'stochastic_gaussian':
file_path})
child_int._view_items()
self.assertEqual(child_int.input_f.distribution.mean, 39)
self.assertEqual(child_int.input_f.distribution.std, 3)
def test_save_project_ranges_for_stochastic_gaussian_interactor(self):
""" Does saving parameters to file work for stochastic interactor
with gaussian distribution ?
"""
file_path = os.path.join(self.temp_dir,
'test_save_ranges_for_stoch_gaussian.txt')
child_int = self.interactor.interactor_stochastic_gaussian
child_int._view_items()
child_int.input_f.distribution.mean = 200
child_int.input_f.distribution.std = 0.5
self.interactor.save_ranges_to_files({'stochastic_gaussian': file_path})
# Read the saved file
file_object = open(file_path, 'r')
lines = file_object.readlines()
lines = [line.split() for line in lines]
file_object.close()
os.remove(file_path)
self.assertEqual(len(lines), 1)
self.assertEqual(len(lines[0]), 3)
self.assertEqual(lines[0][1], str(200.0))
self.assertEqual(lines[0][2], str(0.5))
def test_load_project_ranges_for_stochastic_triangular_interactor(self):
""" Does loading parameters from file work for triangular interactor
with triangular distribution ?
"""
child_int = self.interactor.interactor_stochastic_triangular
file_path = os.path.join(os.path.dirname(__file__), 'data',
'stochastic_triangular_ranges.txt')
self.interactor.load_ranges_from_files({'stochastic_triangular':
file_path})
child_int._view_items()
self.assertEqual(child_int.input_g.distribution.mode, 44)
self.assertEqual(child_int.input_g.distribution.low, 39)
self.assertEqual(child_int.input_g.distribution.high, 49)
def test_save_project_ranges_for_stochastic_triangular_interactor(self):
""" Does saving parameters to file work for stochastic interactor
with triangular distribution ?
"""
file_path = os.path.join(self.temp_dir,
'test_save_ranges_for_stoch_triangular.txt')
child_int = self.interactor.interactor_stochastic_triangular
child_int._view_items()
child_int.input_g.distribution.mode = 40.0
child_int.input_g.distribution.low = 30.0
child_int.input_g.distribution.high = 50.0
self.interactor.save_ranges_to_files({'stochastic_triangular':
file_path})
# Read the saved file
file_object = open(file_path, 'r')
lines = file_object.readlines()
lines = [line.split() for line in lines]
file_object.close()
os.remove(file_path)
self.assertEqual(len(lines), 1)
self.assertEqual(len(lines[0]), 4)
self.assertEqual(lines[0][1], str(40.0))
self.assertEqual(lines[0][2], str(30.0))
self.assertEqual(lines[0][3], str(50.0))
def test_load_project_ranges_for_stochastic_uniform_interactor(self):
""" Does loading parameters from file work for stochastic interactor
with uniform distribution ?
"""
child_int = self.interactor.interactor_stochastic_uniform
file_path = os.path.join(os.path.dirname(__file__), 'data',
'stochastic_uniform_ranges.txt')
self.interactor.load_ranges_from_files({'stochastic_uniform':file_path})
child_int._view_items()
self.assertEqual(child_int.input_h.distribution.low, 40)
self.assertEqual(child_int.input_h.distribution.high, 58)
def test_save_project_ranges_for_stochastic_uniform_interactor(self):
""" Does saving parameters to file work for stochastic interactor
with uniform distribution ?
"""
file_path = os.path.join(self.temp_dir,
'test_save_ranges_for_stoch_uniform.txt')
child_int = self.interactor.interactor_stochastic_uniform
child_int._view_items()
child_int.input_h.distribution.low = 30.0
child_int.input_h.distribution.high = 50.0
self.interactor.save_ranges_to_files({'stochastic_uniform': file_path})
# Read the saved file
file_object = open(file_path, 'r')
lines = file_object.readlines()
lines = [line.split() for line in lines]
file_object.close()
os.remove(file_path)
self.assertEqual(len(lines), 1)
self.assertEqual(len(lines[0]), 3)
self.assertEqual(lines[0][1], str(30.0))
self.assertEqual(lines[0][2], str(50.0))
def test_load_global_ranges_with_project_ranges(self):
""" Do global ranges get overwritten by the project settings ?
"""
code = "from enthought.block_canvas.debug.my_operator import add,mul\n"\
"d = mul(a, b)\n" \
"e = mul(c, 3)\n" \
"f = add(d,e)"
self.block = Block(code)
self.context['c'] = 2.0
# This is to be done because the interactor doesn't get updated with
# change in block.
i_config = InteractorConfig(var_configs=[VariableConfig(name='a',
type='Shadow'),
VariableConfig(name='b',
type='Parametric'),
VariableConfig(name='c',
type='Shadow'),
VariableConfig(name='d',
type='Parametric')])
self.interactor = ConfigurableInteractor(block=self.block,
context=self.context,
interactor_config=i_config)
child_int = self.interactor.interactor_shadow
global_file_path = os.path.join(os.path.dirname(__file__), 'data',
'global_user_range.txt')
project_file_path = os.path.join(os.path.dirname(__file__), 'data',
'project_ranges.txt')
self.interactor.load_ranges_from_files({'shadow':project_file_path},
{'shadow':global_file_path})
child_int._view_items()
# Range of a is obtained from the project settings and not the
# global preferences
self.assertAlmostEqual(child_int.input_a__low, 3.4)
self.assertAlmostEqual(child_int.input_a__high, 5.0)
self.assertNotEqual(child_int.input_a__low, 0.15)
self.assertNotEqual(child_int.input_a__high, 9.3)
# Range of c is obtained from the global preferences
self.assertAlmostEqual(child_int.input_c__low, 2.0)
self.assertAlmostEqual(child_int.input_c__high, 7.0)
def test_load_global_ranges_without_project_ranges(self):
""" Do global ranges get used when there are no project settings ?
"""
code = "from enthought.block_canvas.debug.my_operator import add,mul\n"\
"d = mul(a, b)\n" \
"e = mul(c, 3)\n" \
"f = add(d,e)"
self.block = Block(code)
self.context['c'] = 2.0
# This is to be done because the interactor doesn't get updated with
# change in block.
i_config = InteractorConfig(var_configs=[VariableConfig(name='a',
type='Shadow'),
VariableConfig(name='b',
type='Parametric'),
VariableConfig(name='c',
type='Shadow'),
VariableConfig(name='d',
type='Parametric')])
self.interactor = ConfigurableInteractor(block=self.block,
context=self.context,
interactor_config=i_config)
child_int = self.interactor.interactor_shadow
global_file_path = os.path.join(os.path.dirname(__file__), 'data',
'global_user_range.txt')
self.interactor.load_ranges_from_files({}, {'shadow':global_file_path})
child_int._view_items()
# Range of a is obtained from the project settings and not the
# global preferences
self.assertAlmostEqual(child_int.input_a__low, 0.15)
self.assertAlmostEqual(child_int.input_a__high, 9.3)
# Range of c is obtained from the global preferences
self.assertAlmostEqual(child_int.input_c__low, 2.0)
self.assertAlmostEqual(child_int.input_c__high, 7.0)