Van Holten's Big Papa Hearty Dil Pickle in A Pouch - 12 x Van Holtens Pickles

£9.9
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Van Holten's Big Papa Hearty Dil Pickle in A Pouch - 12 x Van Holtens Pickles

Van Holten's Big Papa Hearty Dil Pickle in A Pouch - 12 x Van Holtens Pickles

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x80\x02]q\x00(c__main__\nDocument\nq\x01)\x81q\x02}q\x03(U\x04dateq\x04U\x051/1/1q\x05U\x04textq\x06U\x0bfoo is goodq\x07U\x05titleq\x08U\x03fooq\tubh\x01)\x81q\n}q\x0b(h\x04U\x052/2/2q\x0ch\x06U\rbar is betterq\rh\x08U\x03barq\x0eubh\x01)\x81q\x0f}q\x10(h\x04U\x053/3/3q\x11h\x06U\x13no one likes baz :(q\x12h\x08U\x03bazq\x13ube.'

Big Papa Hearty Dill Pickle-In-A-Pouch - American Sweets Big Papa Hearty Dill Pickle-In-A-Pouch - American Sweets

Also, another complication! There's more than just SHORT_BINSTRING - there's normal BINSTRING for strings > 256 bytes, and also some fun unicode variants as well. I'll just assume that you're using Python 2 with all ASCII strings. Again, comment if this isn't a correct assumption.

GIFs

Anyways, for this answer I'm assuming your Document class looks a bit like this. If not, comment with your actual Document class: class Document(object): # <-- object part is very important! If it's not there, the format is different! A little morning rain gave way to sunshine and beautiful warm weather at Dreamland, and our team was eager to welcome guests for a fun afternoon. You could feel the enthusiasm and positive energy on and off the courts. DJ David Garza kept us all in the groove. Everyone enjoyed delicious food from Taco Deli, Little Ola's Biscuits, Snarf's Sandwiches, Easy Tiger and GoodPop. Drinks were flowing from Rambler Sparking Water, Sap's Clubby Seltzers, Austin Beerworks, Progress Coffee, Ranch Rider Spirits, and BOXT. Supergoop saved us from sunburns. The space looked so festive thanks to Pop & Drop, The Essential Market, Whim Hospitality, and Panacea.

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Document {'date': '2/2/2', 'text': 'bar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is betterbar is better', 'title': 'bar'}Re-crawl the original data, this time actually incrementally storing the data, or storing it in a database. OK, so we need to stream the file until we hit a '\81' bytes ( NEWOBJ). Then, we need to scan forward until we hit a '(' ( MARK) character. Then, until we hit a 'u' ( SETITEMS), we read pairs of key/value strings - there should be 3 pairs total, one for each field.

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Anyways, I made some simple test data with this class: d = [Document(title='foo', text='foo is good', date='1/1/1'), Document(title='bar', text='bar is better', date='2/2/2'), Document(title='baz', text='no one likes baz :(', date='3/3/3')]



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