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You can create a custom type by subclassing sqlalchemy.types.TypeDecorator to handle serialization and deserialization to Text.

An implementation might look like

import json"import sqlalchemy"from sqlalchemy.types import TypeDecorator""SIZE = 256""class TextPickleType(TypeDecorator):""    impl = sqlalchemy.Text(SIZE)""    def process_bind_param(self, value, dialect):"        if value is not None:"            value = json.dumps(value)""        return value""    def process_result_value(self, value, dialect):"        if value is not None:"            value = json.loads(value)"        return value

Example usage:

class SomeModel(Base):"    __tablename__ = 'the_table'"    id = Column(Integer, primary_key=True)"    json_field = Column(TextPickleType())""s = SomeModel(json_field={'baked': 'beans', 'spam': 'ham'})"session.add(s)"session.commit()

This is outlined in an example in the SQLAlchemy docs, which also shows how to track mutations of that dictionary.

This approach should work for all versions of Python, whereas simply passing json as the value to the pickler argument of PickleType will not work correctly, as AlexGrönholm points out in his comment on another answer.

What do you mean exactly by "but as far as I know dictionaries cannot be sorted by keys"?

While this is not strictly the same as a "sorted dictionary", you can easily turn a dictionary into a list, sorted by the key, which seems to be what you're after:

>>> tuples = [(1,1), (0,1), (1,0), (0,0), (2,1)]">>> l = {}">>> for t in tuples:"...    l[t] = "something"">>> sorted(l) # equivalent to sorted(l.keys())"[(0, 0), (0, 1), (1, 0), (1, 1), (2, 1)]">>> sorted(l.items()) # make a list of (key, value) tuples, and sort by key"[((0, 0), 'something'), ((0, 1), 'something'), ((1, 0), 'something'), ((1, 1), 'something'), ((2, 1), 'something')]    

(I turned something into the string "something" just to make the code work)

To make use of this for your case however (if I understand it correctly, that is), you would still need to fill the dictionary with None values or something for every "empty" coordinate tuple)

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You second code will fail on multiple loops of the object where you start a new loop before another is finished.

Didnt really look like an optimization worth spending time on either.

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