コード例 #1
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
 def setUp(self):
     super().setUp()
     self.flock = FlockDict()
     self.flock['a'] = 'Original Value'
     self.flock['b'] = {'i': 'Original Value', 'ii': 42}
     self.flock['c'] = [1, 2, 3]
     self.flock['d'] = set('ABC')
コード例 #2
0
ファイル: model.py プロジェクト: matrixise/flock
def apply_skills(character):
    character.setdefault('skills', [])
    for skill in list(character['skills']):
        pass
        # character['skills'] = ......

    character['points'].setdefault('spent', FlockDict())
    character['points'].setdefault('available', FlockDict())

    character['points']['spent']['mental'] = lambda: sum(
        skill.cost for skill in character['skills'] if skill.isMental)
    character['points']['available']['mental'] = lambda: character['points']['total']['mental'] - \
                                                         character['points']['spent']['mental']
    character['points']['spent']['physical'] = lambda: sum(
        skill.cost for skill in character['skills'] if skill.isPhysical)
    character['points']['available']['physical'] = lambda: character['points']['total']['physical'] - \
                                                           character['points']['spent']['physical']
    character['points']['spent']['heroic'] = lambda: sum(
        skill.cost for skill in character['skills'] if skill.isHeroic)
    character['points']['available']['heroic'] = lambda: character['points']['total']['heroic'] - \
                                                         character['points']['spent']['heroic']
    character['points']['spent']['universal'] = lambda: -sum(
        min(0, character['points']['available'][pt_type])
        for pt_type in character['points']['available']
        if pt_type != 'universal')
    character['points']['available']['universal'] = lambda: character['points']['total']['universal'] - \
                                                            character['points']['spent']['universal']
コード例 #3
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
class ShearTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['a'] = 'Original Value'
        self.flock['b'] = {'i': 'Original Value', 'ii': 42}
        self.flock['c'] = [1, 2, 3]
        self.flock['d'] = set('ABC')

    def test_consistent_types(self):
        for collection in 'bcd':
            pre_shear_type = type(self.flock[collection])
            self.flock.shear()
            post_shear_type = type(self.flock[collection])
            assert pre_shear_type is post_shear_type

    def test_edit_post_shear(self):
        self.flock.shear()
        self.flock['b']['i'] = 'New Value'
        self.flock['c'].append(4)
        self.flock['d'].add('D')
        assert self.flock['c'] == [1, 2, 3, 4]
        assert self.flock['b']['i'] == 'New Value'
        assert 'D' in self.flock['d']
        self.flock['unreleated'] = 'Something'
        assert self.flock['b']['i'] == 'New Value'
        assert self.flock['c'] == [1, 2, 3, 4]
        assert 'D' in self.flock['d']
コード例 #4
0
class FlockAggregatorTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['x'] = {x: x for x in range(1, 10)}
        self.flock['y'] = {x: 2 * x for x in range(1, 10)}

    def test_shear_list(self):
        self.flock['sum'] = FlockAggregator([self.flock['x'], self.flock['y']], lambda x: sum(x))
        assert not self.flock.check()

        assert len(self.flock['sum']) == 9
        self.assertContentsEqual(self.flock['sum'].keys(), set(range(1, 10)))
        self.assertContentsEqual(self.flock['sum'].values(), (x * 3 for x in range(1, 10)))
        self.assertContentsEqual(self.flock['sum'].items(), ((x,x * 3) for x in range(1, 10)))

        assert self.flock['sum'].shear() == {x: x * 3 for x in range(1, 10)}
        assert self.flock['sum'] == {x: x * 3 for x in range(1, 10)}
        assert self.flock['sum']() == {x: x * 3 for x in range(1, 10)}
        assert self.flock.promises['sum'].shear() == {x: x * 3 for x in range(1, 10)}
        assert self.flock.promises['sum']() == {x: x * 3 for x in range(1, 10)}

        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared

    def test_shear_func(self):
        self.flock['sum'] = FlockAggregator(lambda: [self.flock[ls] for ls in ['x', 'y']], sum)
        assert not self.flock.check()

        assert len(self.flock['sum']) == 9
        self.assertContentsEqual(self.flock['sum'].keys(), range(1, 10))
        self.assertContentsEqual(self.flock['sum'].values(), (x * 3 for x in range(1, 10)))
        self.assertContentsEqual(self.flock['sum'].items(), ((x,x * 3) for x in range(1, 10)))

        assert self.flock.promises['sum'].shear() == {x: x * 3 for x in range(1, 10)}
        assert self.flock.promises['sum']() == {x: x * 3 for x in range(1, 10)}
        assert self.flock['sum'] == {x: x * 3 for x in range(1, 10)}

        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared

    def test_check(self):
        self.flock['sum'] = FlockAggregator([self.flock['x'], self.flock['y']], lambda x: int(x))
        check = self.flock.check()
        assert check
        assert len(check['sum']) == 9
        for value in check['sum'].values():
            assert len(value) == 2

    def assertContentsEqual(self, param, param1, *args, **kwargs):
        return self.assertSetEqual(set(param), set(param1), *args, **kwargs)
コード例 #5
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
class FlockAggregatorTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['x'] = {x: x for x in range(1, 10)}
        self.flock['y'] = {x: 2 * x for x in range(1, 10)}

    def test_shear_list(self):
        self.flock['sum'] = FlockAggregator([self.flock['x'], self.flock['y']], lambda x: sum(x))
        assert not self.flock.check()

        assert len(self.flock['sum']) == 9
        self.assertContentsEqual(self.flock['sum'].keys(), set(range(1, 10)))
        self.assertContentsEqual(self.flock['sum'].values(), (x * 3 for x in range(1, 10)))
        self.assertContentsEqual(self.flock['sum'].items(), ((x, x * 3) for x in range(1, 10)))

        assert self.flock['sum'].shear() == {x: x * 3 for x in range(1, 10)}
        assert self.flock['sum'] == {x: x * 3 for x in range(1, 10)}
        assert self.flock['sum']() == {x: x * 3 for x in range(1, 10)}
        assert self.flock.promises['sum'].shear() == {x: x * 3 for x in range(1, 10)}
        assert self.flock.promises['sum']() == {x: x * 3 for x in range(1, 10)}

        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared

    def test_shear_func(self):
        self.flock['sum'] = FlockAggregator(lambda: [self.flock[ls] for ls in ['x', 'y']], sum)
        assert not self.flock.check()

        assert len(self.flock['sum']) == 9
        self.assertContentsEqual(self.flock['sum'].keys(), range(1, 10))
        self.assertContentsEqual(self.flock['sum'].values(), (x * 3 for x in range(1, 10)))
        self.assertContentsEqual(self.flock['sum'].items(), ((x, x * 3) for x in range(1, 10)))

        assert self.flock.promises['sum'].shear() == {x: x * 3 for x in range(1, 10)}
        assert self.flock.promises['sum']() == {x: x * 3 for x in range(1, 10)}
        assert self.flock['sum'] == {x: x * 3 for x in range(1, 10)}

        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared

    def test_check(self):
        self.flock['sum'] = FlockAggregator([self.flock['x'], self.flock['y']], lambda x: int(x))
        check = self.flock.check()
        assert check
        assert len(check['sum']) == 9
        for value in check['sum'].values():
            assert len(value) == 2

    def assertContentsEqual(self, param, param1, *args, **kwargs):
        return self.assertSetEqual(set(param), set(param1), *args, **kwargs)
コード例 #6
0
ファイル: model.py プロジェクト: matrixise/flock
def apply_level_allotments(character):
    if 'level' not in character:
        character['level'] = 1
    character.setdefault('points', FlockDict())
    character['points'].setdefault('total', FlockDict({'universal': 10}))
    character['points']['total']['mental'] = lambda: character[
        'level'] * character['bonuses']['Mental Skill Points']

    character['points']['total']['physical'] = lambda: character[
        'level'] * character['bonuses']['Phy Skill Points']
    character['points']['total']['heroic'] = lambda: character['level'] * (
        character['level'] + 1 + character['bonuses']['heroics'])
コード例 #7
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
class MetaAggregatorTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['x'] = {x: x for x in range(1, 10)}
        self.flock['y'] = {x: 2 * x for x in range(1, 10)}

    def test_shear(self):
        self.flock['sum'] = MetaAggregator(lambda: [self.flock[ls] for ls in ['x', 'y']], sum)
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared
コード例 #8
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class MetaAggregatorTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['x'] = {x: x for x in range(1, 10)}
        self.flock['y'] = {x: 2 * x for x in range(1, 10)}

    def test_shear(self):
        self.flock['sum'] = MetaAggregator(lambda: [self.flock[ls] for ls in ['x', 'y']], sum)
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared
コード例 #9
0
ファイル: model.py プロジェクト: matrixise/flock
def apply_attribute_table(character):
    if 'Attribute_Bonuses' not in character:
        character['Attribute_Bonuses'] = FlockDict()
    for (attribute, bonus), table in get_attribute_table().items():
        character['Attribute_Bonuses'][bonus] = lookup(character, attribute,
                                                       table)
    character['base_bonuses'] = {'Spell Points Multiple': {'General': 1}}
    character['bonuses'] = FlockAggregator(
        [character['Attribute_Bonuses'], character['base_bonuses']],
        cross_total)
コード例 #10
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ファイル: model.py プロジェクト: matrixise/flock
def apply_racial_bonuses(character):
    if character["Race"] == "Human":
        preVal = character["Spirit"]
        character["Spirit"] = lambda: preVal + 2
        character.setdefault('Racial Bonuses', FlockDict())
        character['Racial Bonuses']['heroics'] = 1
    # print("character bonuses {ct_type} sources {sources} bonuses {rb_type}".format(
    #     ct_type=type(character.promises['bonuses']), rb_type=type(character.promises['Racial Bonuses']),
    #     sources=character.promises['bonuses'].sources))
    character.promises['bonuses'].sources.append(character['Racial Bonuses'])
コード例 #11
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
 def test_split_cache(self):
     self.flock2 = FlockDict()
     self.flock2['dest'] = reference(self.flock, 'source')
     self.flock2['nested_dest'] = {'dest': reference(self.flock, 'nested_source', 'source')}
     self.flock2['jump_dest'] = {'dest': reference(self.flock['nested_source'], 'source')}
     assert self.flock2['dest'] == self.flock2['nested_dest']['dest'] == 'Original Value'
     self.flock['source'] = '1st New Value'
     assert self.flock2['dest'] == '1st New Value'
     assert self.flock2['nested_dest']['dest'] == self.flock2['jump_dest']['dest'] == 'Original Value'
     self.flock['nested_source']['source'] = '2nd New Value'
     assert self.flock2['dest'] == '1st New Value'
     assert self.flock2['nested_dest']['dest'] == '2nd New Value'
     assert self.flock2['jump_dest']['dest'] == '2nd New Value'
コード例 #12
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
class AggregatorTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['x'] = {x: x for x in range(1, 10)}
        self.flock['y'] = {x: 2 * x for x in range(1, 10)}

    def test_shear(self):
        self.flock['sum'] = Aggregator([self.flock['x'], self.flock['y']], lambda x: sum(x))
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared

    def test_check(self):
        self.flock['sum'] = Aggregator([self.flock['x'], self.flock['y']], lambda x: int(x))
        check = self.flock.check()
        assert check
        assert len(check['sum']) == 9
        for value in check['sum'].values():
            assert len(value) == 2
コード例 #13
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class AggregatorTestCase(unittest.TestCase):
    def setUp(self):
        super().setUp()
        self.flock = FlockDict()
        self.flock['x'] = {x: x for x in range(1, 10)}
        self.flock['y'] = {x: 2 * x for x in range(1, 10)}

    def test_shear(self):
        self.flock['sum'] = Aggregator([self.flock['x'], self.flock['y']], lambda x: sum(x))
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 3
        assert isinstance(sheared, dict)
        assert sheared['sum'] == {x: x * 3 for x in range(1, 10)}
        assert dict(self.flock()) == sheared

    def test_check(self):
        self.flock['sum'] = Aggregator([self.flock['x'], self.flock['y']], lambda x: int(x))
        check = self.flock.check()
        assert check
        assert len(check['sum']) == 9
        for value in check['sum'].values():
            assert len(value) == 2
コード例 #14
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
class BasicFlockTestCase(unittest.TestCase):
    """
    Tests of the basic operations of a flock
    """

    def setUp(self):
        super().setUp()
        self.flock = FlockDict()

    def test_simple_values(self):
        """
        Test that simple(non-dict, non-callable) values are stored and retrieved transparently.
        """
        assert len(self.flock) == 0
        self.flock[3] = 3
        assert self.flock[3] == 3
        assert len(self.flock) == 1
        self.flock["Shepherd"] = "Mary"
        assert len(self.flock) == 2
        self.assertEqual(self.flock["Shepherd"], "Mary")
        self.flock["Management"] = ["Mary", "Joshua", "Isaac"]
        assert len(self.flock) == 3
        self.assertEqual(self.flock["Management"], ["Mary", "Joshua", "Isaac"])
        self.flock["Shepherd"] = "John"
        self.assertEqual(self.flock["Shepherd"], "John")
        assert "Shepherd" in self.flock
        assert 'missing' not in self.flock
        del self.flock["Shepherd"]
        assert "Shepherd" not in self.flock

    def test_simple_dict(self):
        """
        Test that nested dicts still look like dicts.
        """
        self.flock["Management"] = {"Mary": {"lambs": 1, "size": 'little'}}
        assert self.flock["Management"]["Mary"]['lambs'] == 1
        assert self.flock["Management"]["Mary"]['size'] == 'little'

    def test_simple_closure(self):
        """
        Test that simple closures are stored without mangling and evaluated on retrieval
        """
        self.flock["lamb"] = lambda: "little"
        self.assertEqual(self.flock["lamb"], "little")

    def test_callable_with_arguments(self):
        """
        Test that callables with arguments are passed transparently and never called
        """
        self.flock["func"] = lambda x, y: x + y
        self.assertEqual(self.flock["func"](1, 2), 3)

        def test2(x, y):
            assert False

        self.flock["test2"] = test2
        assert test2 == self.flock["test2"]  # Testing that this is not called

    def test_error(self):
        self.flock["bad"] = lambda: 1 / 0
        assert 'bad' in self.flock
        with raises(FlockException) as exc_info:
            self.flock.pop('bad')
        assert isinstance(exc_info.value.__cause__, ZeroDivisionError)

        with raises(FlockException) as exc_info:
            assert self.flock['bad'] != (
            lambda: 1 / 0), "This should not be called at all as the exception should be raised"
        assert isinstance(exc_info.value.__cause__, ZeroDivisionError)

        with raises(FlockException) as exc_info:
            self.flock.shear()
        assert isinstance(exc_info.value.__cause__, ZeroDivisionError)

        error = self.flock.shear(record_errors=True)['bad']
        assert isinstance(error, FlockException)
        assert isinstance(error.__cause__, ZeroDivisionError)

    def test_shear(self):
        """
        Test trivial shear operation
        """
        self.flock[3] = 15
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 1
        assert isinstance(sheared, dict)
        assert sheared[3] == 15

        self.flock['cat'] = lambda: 'Abbey'
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 2
        assert isinstance(sheared, dict)
        assert sheared['cat'] == 'Abbey'
        assert sheared[3] == 15

        assert self.flock.dataset() == {'cat':'Abbey',3:15}
        assert len(self.flock.ruleset()) == 0
        assert not self.flock.ruleset()

    def test_consistent_shear(self):
        t = toggle()
        self.flock['toggle'] = t
        self.flock['toggle2'] = t
        self.flock.update({x: lambda: self.flock['toggle'] for x in range(5)})
        sheared = self.flock.shear()
        self.assertEqual(sheared['toggle'], not sheared['toggle2'])
        self.assertEqual([sheared['toggle']] * 5, [sheared[x] for x in range(5)])

        assert len(self.flock.dataset()) == 0
        assert not self.flock.dataset()
        assert len(self.flock.ruleset()) == 7
        assert all(isinstance(x, FunctionType) for x in self.flock.ruleset().values())
コード例 #15
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ファイル: test_flockdict.py プロジェクト: matrixise/flock
 def setUp(self):
     super().setUp()
     self.flock = FlockDict()
     self.flock['x'] = {x: x for x in range(1, 10)}
     self.flock['y'] = {x: 2 * x for x in range(1, 10)}
コード例 #16
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ファイル: test_flockdict.py プロジェクト: matrixise/flock
 def setUp(self):
     super().setUp()
     self.flock = FlockDict()
     self.flock['source'] = 'Original Value'
     self.flock['nested_source'] = {'source': 'Original Value'}
コード例 #17
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 def setUp(self):
     super().setUp()
     self.flock = FlockDict()
コード例 #18
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ファイル: model.py プロジェクト: matrixise/flock
def load_character(filename):
    sheet = pickle.load(open(filename, 'rb'))
    ret = FlockDict(sheet)
    return apply_rules(ret)
コード例 #19
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ファイル: model.py プロジェクト: matrixise/flock
                        default=None,
                        help="File to read character from.")
    parser.add_argument("--outfile",
                        type=argparse.FileType('w'),
                        default=None,
                        help="File to read character from.")
    return parser


if __name__ == "__main__":
    logging.basicConfig()
    parser = get_parser()
    opt = parser.parse_args()

    # char = load_character("Mondavite2.pkl")
    char = FlockDict()

    if not opt.infile:
        char['base_stats'] = {
            'Combat Skill': 13,
            'Dexterity': 16,
            'Health': 11,
            'Intelligence': 18,
            'Magic': 17,
            'Perception': 20,
            'Presence': 11,
            'Speed': 13,
            'Spirit': 10,
            'Strength': 10,
            'Luck': 10
        }
コード例 #20
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ファイル: model.py プロジェクト: Ciemaar/flock
def get_parser():
    parser = argparse.ArgumentParser(description='Mythica Character manager', )

    parser.add_argument("--infile", type=argparse.FileType('r'), default=None, help="File to read character from.")
    parser.add_argument("--outfile", type=argparse.FileType('w'), default=None, help="File to read character from.")
    return parser


if __name__ == "__main__":
    logging.basicConfig()
    parser = get_parser()
    opt = parser.parse_args()

    # char = load_character("Mondavite2.pkl")
    char = FlockDict()

    if not opt.infile:
        char['base_stats'] = {'Combat Skill': 13, 'Dexterity': 16, 'Health': 11, 'Intelligence': 18, 'Magic': 17,
                              'Perception': 20, 'Presence': 11, 'Speed': 13, 'Spirit': 10, 'Strength': 10, 'Luck': 10}
        char['practice_sessions'] = {'Combat Skill': 9, 'Dexterity': 2}
        char['skills'] = [
            Skill('Read Common', MENTAL),
            Skill('Bargaining', MENTAL),
            Skill('Begging', MENTAL, 2),
            Skill('Appraisal', MENTAL),
            Skill('Local History', MENTAL),
            Skill('Endow Plants', MENTAL),
            Skill('Fishing', MENTAL),
            Skill('Artificer', MENTAL, 2),
            Skill('Stiletto', WEAPON, 2),
コード例 #21
0
class BasicFlockTestCase(unittest.TestCase):
    """
    Tests of the basic operations of a flock
    """

    def setUp(self):
        super().setUp()
        self.flock = FlockDict()

    def test_simple_values(self):
        """
        Test that simple(non-dict, non-callable) values are stored and retrieved transparently.

        """
        assert len(self.flock) == 0
        self.flock[3] = 3
        assert self.flock[3] == 3
        assert len(self.flock) == 1
        self.flock["Shepherd"] = "Mary"
        assert len(self.flock) == 2
        self.assertEqual(self.flock["Shepherd"], "Mary")
        self.flock["Management"] = ["Mary", "Joshua", "Isaac"]
        assert len(self.flock) == 3
        self.assertEqual(self.flock["Management"], ["Mary", "Joshua", "Isaac"])
        self.flock["Shepherd"] = "John"
        self.assertEqual(self.flock["Shepherd"], "John")

    def test_simple_dict(self):
        """
        Test that nested dicts still look like dicts.

        """
        self.flock["Management"] = {"Mary": {"lambs": 1, "size": 'little'}}
        assert self.flock["Management"]["Mary"]['lambs'] == 1
        assert self.flock["Management"]["Mary"]['size'] == 'little'

    def test_simple_closure(self):
        """
        Test that simple closures are stored without mangling and evaluated on retrieval

        """
        self.flock["lamb"] = lambda: "little"
        self.assertEqual(self.flock["lamb"], "little")

    def test_shear(self):
        """
        Test trivial shear opperation
        """
        self.flock[3] = 15
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 1
        assert isinstance(sheared, dict)
        assert sheared[3] == 15

        self.flock['cat'] = lambda: 'Abbey'
        assert not self.flock.check()
        sheared = self.flock.shear()
        assert len(sheared) == 2
        assert isinstance(sheared, dict)
        assert sheared['cat'] == 'Abbey'

    def test_consistent_shear(self):
        t = toggle()
        self.flock['toggle'] = t
        self.flock['toggle2'] = t
        self.flock.update({x: lambda: self.flock['toggle'] for x in range(5)})
        sheared = self.flock.shear()
        self.assertEqual(sheared['toggle'], not sheared['toggle2'])
        self.assertEqual([sheared['toggle']] * 5, [sheared[x] for x in range(5)])
コード例 #22
0
 def setUp(self):
     super().setUp()
     self.flock = FlockDict()
     self.flock['x'] = {x: x for x in range(1, 10)}
     self.flock['y'] = {x: 2 * x for x in range(1, 10)}
コード例 #23
0
ファイル: test_flockdict.py プロジェクト: matrixise/flock
 def setUp(self):
     super().setUp()
     self.flock = FlockDict()