 Converter.to_float_with_default("ABC", 123)) < 0.001

    def test_to_date(self):
        assert Converter.to_date(None) == None

        date1 = datetime(1975, 4, 8, 0, 0)
        assert date1 == Converter.to_date_with_default(None, date1)
        assert date1 == Converter.to_date(datetime(1975, 4, 8))
        
        date2 = datetime.fromtimestamp(123456)
        assert date2 == Converter.to_date(123456)
        
        date3 = datetime(1975, 4, 8, 0, 0, 0, 0, pytz.utc)
        assert date3 == Converter.to_date("1975-04-08T00:00:00Z")
        #assert date1 == Converter.to_date("1975/04/08")
        
        assert Converter.to_date("XYZ") == None
        
    def test_to_array(self):
        value = Converter.list_to_array(None)
        assert type(value) == list
        assert len(value) == 0
        
        value = Converter.list_to_array(123)
        assert type(value) == list
        assert len(value) == 1
        assert 123 == value[0] 

        value = Converter.list_to_array([123])
        assert type(value) == list
        assert len(value) == 1
        assert 123 == value[0] 
 
        value = Converter.list_to_array('123')
        assert type(value) == list
        assert len(value) == 1
        assert '123' == value[0] 

        value = Converter.list_to_array(u'123,456')
        assert type(value) == list
        assert len(value) == 2
        assert '123' == value[0] 
        assert '456' == value[1] 
        
    def test_object_to_map(self):
        # Handling nulls
        value = None
        result = Converter.to_nullable_map(value)
        assert result == None
        
        # Handling simple objects
        value = TestClass(123, 234)
        result = Converter.to_nullable_map(value)
        assert 123 == result["value1"]
        assert 234 == result["value2"]

        # Handling dictionaries
        # value = DynamicMap()
        # result = Converter.to_nullable_map(value)
        # assert value == result

        # Non-recursive conversion
        # value = TestClass(123, TestClass(111, 222))
        # result = Converter.to_map(value, None, False)
        # assert result!= None
        # assert 123 == result["value1"]
        # assert result["value2"]!= None
        # assert not isinstance(result["value2"], dict)
        # assert instanceof(result["value2"], TestClass)

        # Recursive conversion
        value = TestClass(123, TestClass(111, 222))
        result = Converter.to_nullable_map(value)
        assert result!= None
        assert 123 == result["value1"]
        assert result["value2"]!= None
        assert isinstance(result["value2"], dict)

        # Handling arrays
        value = TestClass([ TestClass(111, 222) ], None)
        result = Converter.to_nullable_map(value)
        assert result!= None
        assert type(result["value1"]) == list
        resultElements = result["value1"]
        resultElement0 = resultElements[0]
        assert resultElement0!= None
        assert 111 == resultElement0["value1"]
        assert 222 == resultElement0["value2"]

    def test_json_to_map(self):
        # Handling simple objects
        value = '{ "value1":123, "value2":234 }'
        result = Converter.to_nullable_map(value)
        assert 123 == result["value1"]
        assert 234 == result["value2"]

        # Recursive conversion
        value = '{ "value1":123, "value2": { "value1": 111, "value2": 222 } }'
        result = Converter.to_nullable_map(value)
        assert result!= None
        assert 123 == result["value1"]
        assert result["value2"]!= None
        assert isinstance(result["value2"], dict)

        # Handling arrays
        value = '{ "value1": [{ "value1": 111, "value2": 222 }] }'
        result = Converter.to_nullable_map(value)
        assert result!= None
        assert type(result["value1"]) == list
        resultElements = result["value1"]
        resultElement0 = resultElements[0]
        assert resultElement0!= None
        assert 111 == resultElement0["value1"]
        assert 222 == resultElement0["value2"]
        DK Books has been a source of official LEGO books since 1999, when it published The Ultimate LEGO Book. Since then, DK’s relationship with LEGO has expanded, and with it, Dk”s book selection has broadened. Separate LEGO themes have their own books, including LEGO Ninjago. BrickJournal got to review one of their upcoming books.
The LEGO Ninjago Visual Dictionary New Edition (there were two previous editions that have been released) is a updated guide to the theme, with information on the characters, places, and vehicles that make up this universe. Set information is also in the book, but the book is a general narrative of the theme. In other words, there are no specific set breakdowns in photos – the items in a set will be throughout the book with a data box for the set, its number and number of parts and minifigures.
Spreads from LEGO® NINJAGO Visual Dictionary, New Edition reprinted by permission of DK, a division of Penguin Random House LLC. Copyright © 2019 by Arie Kaplan and Hannah Dolan.
For those just entering the LEGO Ninjago world, this is a great tour book. For those familiar with the theme, it is a good reference source. Information from the LEGO Ninjago movie and the LEGO Ninjago TV show is included in the book. Adult builders will enjoy seeing the beautiful photos and the design process behind creating the LEGO Ninjago sets. Collectors will love the minifigure gallery, which shows every LEGO Ninjago figure that has been produced to the present.
Having so much information can lead to a very dry book, but DK solves this problem by introducing the characters first, as opposed to the sets. By getting the characters out first, the reader gets taken into the narrative of LEGO Ninjago and its underlying conflict. The sets are touched on in a timeline at the beginning of the book and in the data boxes through the book, but not spotlighted like the characters themselves.
The LEGO Ninjago Visual Dictionary New Edition would be a great addition to anyone interested in LEGO – there is enough information for anyone with a passing interest in the company to look and learn something about the theme, the media behind theme, and even the design of the theme. There’s also an exclusive LEGO minifigure in the book – Teen Wu! Who is he?
Guess you’ll have to get the book to find out!
'Seating Arrangements' by Maggie Shipstead
Release date: June 12, 2012 Why to throw it in your beach bag: If you're missing "Revenge," turn off your television and pick up this book. Call us crazy, but we detect a note of Truman Capote in Maggie Shipstead's satirical voice. The novel takes place on an island in New England at a family vacation home, where the Van Meter family is preparing for a wedding. There's scandal, seduction, and plenty of bad behavior. We're definitely hoping Shipstead's first book won't be her last. -- Carina Adly MacKenzie, Zap2itI am currently engaged in a discussion with one of my close friends who has just moved in with his girlfriend, and is engaging in a sexual relationship with her. He absolutely refuses to accept the existence of an objective moral truth, so I’m turning to the science which supports the Catholic view that sex should be withheld until marriage. I know the statistics are out there, I just don’t have them. Any direction would be greatly appreciated.
here is something I found on pre marital sex and higher risk for divorce.
don’t be discouraged if this doesn’t even work, if he doesn’t believe in a universal law high risk of divorce may not change him. Plus only use this to open him up to the truth show him the moral truth of the wrongness of pre-marital sex.
When viewing these and other statistics that show correlations, it is important to keep in mind the difference between correlation and causation. In the examples cited by the article, a correlation is shown between