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test_validation.py
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test_validation.py
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# coding: utf-8
""" Test the model validation """
from __future__ import print_function
import unittest
import sick.validation as v
class UncachedModelValidationTest(unittest.TestCase):
c = {"channels": True}
z = ["abc", "def"]
def test_channel_names_str(self):
# These are normal
self.assertTrue(v._validate_channels,
[self.c, ["yes", "#@$)(&*@#$", "ok"], []])
def test_channel_names_unicode(self):
self.assertTrue(v._validate_channels, [self.c, [u"yes", u"ok"], []])
def test_channel_with_full_stops(self):
# Don't allow anything with a . in it.
bad_channels = ["what.what", "not.not"]
self.assertRaises(ValueError, v._validate_channels,
*[self.c, bad_channels])
def test_channel_name_none(self):
# Only allow strings or unicodes as names
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [None, "yes"]])
def test_channel_name_dict(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [{}, "yes"]])
def test_channel_name_bool1(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [False, "yes"]])
def test_channel_name_bool2(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [True, "yes"]])
def test_channel_name_int(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [1, "yes"]])
def test_channel_name_float(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [2.0, "yes"]])
def test_channel_name_tuple(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [(), "yes"]])
def test_channel_name_list(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, [[], "yes"]])
# Channel names must be list-like
def test_channels_as_none(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, None])
def test_channels_as_false(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, False])
def test_channels_as_true(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, True])
def test_channels_as_int(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, 1])
def test_channels_as_float(self):
self.assertRaises(TypeError, v._validate_channels,
*[self.c, 2.0])
# Masks are not necessary
def test_mask_no_configuration_provided(self):
self.assertTrue(v._validate_mask, {})
def test_mask_as_empty_list(self):
self.assertTrue(v._validate_mask, {"mask": []})
def test_mask_as_empty_tuple(self):
self.assertTrue(v._validate_mask, {"mask": ()})
def test_mask_as_none(self):
self.assertTrue(v._validate_mask, {"mask": None})
def test_mask_as_false(self):
self.assertTrue(v._validate_mask, {"mask": False})
# When a mask is given though, it must be valid
def test_mask_as_empty_dict(self):
self.assertRaises(TypeError, v._validate_mask, {"mask": {}})
def test_mask_as_bool(self):
self.assertRaises(TypeError, v._validate_mask, {"mask": True})
def test_mask_as_int(self):
self.assertRaises(TypeError, v._validate_mask, {"mask": 3})
def test_mask_as_list_with_int(self):
self.assertRaises(TypeError, v._validate_mask, {"mask": [3]})
def test_mask_as_non_nested_list(self):
self.assertRaises(TypeError, v._validate_mask, {"mask": [1, 2]})
def test_mask_as_nested_list_of_nones(self):
self.assertRaises(TypeError, v._validate_mask, {"mask": [[None, None]]})
def test_mask_single_region(self):
self.assertTrue(v._validate_mask, {"mask": [[1, 2]]})
def test_mask_multiple_regions(self):
self.assertTrue(v._validate_mask, {"mask": [[1, 2], [3, 4]]})
def test_mask_backward_region(self):
# It is OK if they are not upper/lower bounded, too. But we will give
# a warning
self.assertTrue(v._validate_mask, {"mask": [[1, 2], [4, 3]]})
def test_mask_equal_region(self):
self.assertTrue(v._validate_mask, {"mask": [[1, 2], [4, 4]]})
def test_redshift_no_configuration_provided(self):
# Redshift is not necessary
self.assertTrue(v._validate_redshift, [{}, self.z])
def test_redshift_as_empty_list(self):
self.assertRaises(TypeError, v._validate_redshift, *[{"redshift": []}, self.z])
def test_redshift_as_none(self):
self.assertRaises(TypeError, v._validate_redshift, *[{"redshift": None}, self.z])
def test_redshift_as_int(self):
self.assertRaises(TypeError, v._validate_redshift, *[{"redshift": 0}, self.z])
def test_redshift_as_float(self):
self.assertRaises(TypeError, v._validate_redshift, *[{"redshift": 1.0}, self.z])
# When given, it can be boolean or a dict
def test_redshift_as_empty_dict(self):
self.assertTrue(v._validate_redshift, [{"redshift": {}}, self.z])
def test_redshift_as_true(self):
self.assertTrue(v._validate_redshift, [{"redshift": True}, self.z])
def test_redshfit_as_false(self):
self.assertTrue(v._validate_redshift, [{"redshift": False}, self.z])
# We can give it for non-existant channels, too, and they will just be
# ignored
def test_redshift_with_non_existent_channel1(self):
self.assertTrue(v._validate_redshift, [{"redshift": {"nope": True}}, self.z])
def test_redshift_with_non_existent_channel2(self):
self.assertTrue(v._validate_redshift, [{"redshift": {"nope": False}}, self.z])
# If we don't give it to all channels, then the ones not specified will
# default to False
def test_redshift_with_single_existent_channel1(self):
self.assertTrue(v._validate_redshift, [{"redshift": {"abc": True}}, self.z])
def test_redshift_with_single_existent_channel2(self):
self.assertTrue(v._validate_redshift, [{"redshift": {"abc": False}}, self.z])
def test_convolve_no_configuration_provided(self):
# Convolution is not necessary
self.assertTrue(v._validate_convolve, [{}, self.z])
def test_convolve_as_empty_list(self):
self.assertRaises(TypeError, v._validate_convolve, *[{"convolve": []}, self.z])
def test_convolve_as_none(self):
self.assertRaises(TypeError, v._validate_convolve, *[{"convolve": None}, self.z])
def test_convolve_as_int(self):
self.assertRaises(TypeError, v._validate_convolve, *[{"convolve": 0}, self.z])
def test_convolve_as_float(self):
self.assertRaises(TypeError, v._validate_convolve, *[{"convolve": 1.0}, self.z])
# When given, it can be boolean or a dict
def test_convolve_as_empty_dict(self):
self.assertTrue(v._validate_convolve, [{"convolve": {}}, self.z])
def test_convolve_as_true(self):
self.assertTrue(v._validate_convolve, [{"convolve": True}, self.z])
def test_convolve_as_false(self):
self.assertTrue(v._validate_convolve, [{"convolve": False}, self.z])
# We can give it for non-existant self.zhannels, too, and they will just be
# ignored
def test_convolve_with_non_existent_channel1(self):
self.assertTrue(v._validate_convolve, [{"convolve": {"nope": True}}, self.z])
def test_convolve_with_non_existent_channel2(self):
self.assertTrue(v._validate_convolve, [{"convolve": {"nope": False}}, self.z])
# If we don't give it to all channels, then the ones not specified will
# default to False
def test_convolve_with_single_existent_channel1(self):
self.assertTrue(v._validate_convolve, [{"convolve": {"abc": True}}, self.z])
def test_convolve_with_single_existent_channel2(self):
self.assertTrue(v._validate_convolve, [{"convolve": {"abc": False}}, self.z])
def test_settings(self):
p = ["z.what", "f.what"]
# You don't need ... anything
self.assertTrue(v._validate_settings, [{}, p])
# But it does have to be the right type
self.assertRaises(TypeError, v._validate_settings, *[{"settings": None}, ])
self.assertRaises(TypeError, v._validate_settings, *[{"settings": 1}, ])
self.assertRaises(TypeError, v._validate_settings, *[{"settings": False}, ])
self.assertRaises(TypeError, v._validate_settings, *[{"settings": []}, ])
self.assertRaises(TypeError, v._validate_settings, *[{"settings": 3.14}, ])
# Check missing values
config = {"settings": {"walkers": 4}}
self.assertRaises(KeyError, v._validate_settings, *[config, p])
config = {"settings": {"walkers": 4, "burn": 10}}
self.assertRaises(KeyError, v._validate_settings, *[config, p])
config = {"settings": {"walkers": 4, "burn": 10, "sample": 10}}
self.assertRaises(KeyError, v._validate_settings, *[config, p])
# Check walker numbers
config = {"settings": {"walkers": 5, "burn": 10, "sample": 10, "threads": 1}}
self.assertRaises(ValueError, v._validate_settings, *[config, p])
config = {"settings": {"walkers": 2, "burn": 10, "sample": 10, "threads": 1}}
self.assertRaises(ValueError, v._validate_settings, *[config, p])
config = {"settings": {"walkers": 2 * len(p), "burn": 10, "sample": 5, "threads": 1}}
self.assertTrue(v._validate_settings, [config, p])
# Check the burn/sample/walker numbers
bad_types = (None, True, False, [], {})
for bad_type in bad_types:
ok = {"settings": {"walkers": 10, "sample": 10, "burn": 10}}
config = ok.copy()
config["settings"]["walkers"] = bad_type
self.assertRaises(TypeError, v._validate_settings, *[config, p])
config = ok.copy()
config["settings"]["burn"] = bad_type
self.assertRaises(TypeError, v._validate_settings, *[config, p])
config = ok.copy()
config["settings"]["sample"] = bad_type
self.assertRaises(TypeError, v._validate_settings, *[config, p])
config = ok.copy()
config["settings"]["threads"] = bad_type
self.assertRaises(TypeError, v._validate_settings, *[config, p])
# All values should be positive
config = {"settings": {"burn": -1, "sample": 10, "walkers": 10, "threads": 1}}
self.assertRaises(ValueError, v._validate_settings, *[config, p])
config = {"settings": {"sample": -1, "burn": 10, "walkers": 10, "threads": 1}}
self.assertRaises(ValueError, v._validate_settings, *[config, p])
def test_normalisation(self):
f = v._validate_normalisation
# Normalisation not required
self.assertTrue(f, [{}, None])
self.assertTrue(f, [{"normalise": False}, None])
# Type is important
self.assertRaises(TypeError, f, *[{"normalise": None}, None])
self.assertRaises(TypeError, f, *[{"normalise": True}, None])
self.assertRaises(TypeError, f, *[{"normalise": []}, None])
self.assertRaises(TypeError, f, *[{"normalise": ()}, None])
self.assertRaises(TypeError, f, *[{"normalise": 3}, None])
self.assertRaises(TypeError, f, *[{"normalise": 3.14}, None])
# We can provide non-existent channels
c = ["k", "yep"]
self.assertTrue(f, [{"normalise": {"what": True}}, c])
# But if we provide one that exists, the type is important
self.assertRaises(TypeError, f, *[{"normalise": {"k": None}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": True}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": []}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": ()}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": 3}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": 3.14}}, c])
# And if we provide one that exists, you need to provide some info on it
self.assertRaises(KeyError, f, *[{"normalise": {"k": {}}}, c])
# Like the order, which must be an integer-like
self.assertTrue(f, [{"normalise": {"k": {"order": 0}}}, c])
# This will just raise a warning:
self.assertTrue(f, [{"normalise": {"k": {"order": 3.14}}}, c])
# These are no good:
self.assertRaises(TypeError, f, *[{"normalise": {"k": {"order": None}}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": {"order": True}}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": {"order": []}}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": {"order": {}}}}, c])
self.assertRaises(TypeError, f, *[{"normalise": {"k": {"order": ()}}}, c])
# And positive
self.assertRaises(ValueError, f, *[{"normalise": {"k": {"order": -1}}}, c])
# We should probably require a method specification too, but not now