Huh. That is odd numpy behavior.
Thanks for the recipe.

On Tuesday, November 19, 2013 8:35:35 PM UTC-5, Michael Bayer wrote:
>
> heh, this is actually some dumb numpy thing, check this out:
>
> >>> from numpy.ma.core import exp
> >>> x = exp(1.0)
> >>> a = x == x
> >>> a
> True
> >>> a is True
> False
> >>> 
>
> there’s your problem, the recipe fixes if you just say this:
>
> class InexactFloat(TypeDecorator):
>     impl = Float
>
>     def compare_values(self, x, y):
>         return bool(x == y)
>
>
>
>
> On Nov 19, 2013, at 8:30 PM, Michael Bayer 
> <mik...@zzzcomputing.com<javascript:>> 
> wrote:
>
>
> On Nov 19, 2013, at 8:10 PM, Seth P <spad...@gmail.com <javascript:>> 
> wrote:
>
> I have an issue where, I believe due to floating-point representation 
> issues, reassigning the same value to a floating-point field causes 
> SQLAlchemy to think the value has been modified, and therefore emits a 
> gratuitous UPDATE. (This is particularly problematic when using the 
> versioning mixin, 
> http://docs.sqlalchemy.org/en/rel_0_8/orm/examples.html?highlight=versioned.) 
> This doesn't happen all the time, e.g. in the example below the problem 
> disappears if exp is imported from math rather than from numpy.ma.core. 
> Am I doing something wrong? If not, is there a way to tell SQLAlchemy that 
> a particular Float column (or even all Float columns) should not be 
> considered modified if the new and old values differ by less than some 
> threshold? Is there a way to provide a custom comparison function used for 
> this testing? Apologies if I missed something about this in the docs.
>
>
> well floating points are an inexact representation, so you are hitting 
> that issue.  If you used Numeric() instead, the floats would be coerced to 
> Decimal objects on the Python side, these don’t perform as well as floats 
> but are an exact, immutable representation - but you still can have 
> variability in how these come back from SQLite.
>
> You can in fact change the comparison function used by the unit of work to 
> compare for a change, just use a TypeDecorator:
>
> class InexactFloat(TypeDecorator):
>     impl = Float
>
>    def compare_values(self, x, y):
>        return round(x) == round(y)  # or whatever
>
> class A(Base):
>     __tablename__ = 'a'
>     id = Column(Integer, primary_key=True)
>     value = Column(InexactFloat)
>
>
>
>
>
>
> from sqlalchemy import Column, Integer, Float, create_engine
> from sqlalchemy.ext.declarative import declarative_base
> from sqlalchemy.orm import create_session
> from numpy.ma.core import exp
>
> sqlite = 'sqlite:///C:\\temp1.db'
> engine = create_engine(sqlite, echo=True)
> Base = declarative_base(bind=engine)
>
> class A(Base):
>     __tablename__ = 'a'
>     id = Column(Integer, primary_key=True)
>     value = Column(Float)
>
> if __name__ == '__main__':
>     x = exp(1.0)
>     print "      x = %0.60f" % x
>     Base.metadata.drop_all()
>     Base.metadata.create_all()
>     session = create_session(bind=engine, autocommit=False)
>     a = A(id=1, value=x)
>     session.add(a)
>     session.commit()
>     print "a.value = %0.60f" % a.value
>     print "session.is_modified(a) = %s" % session.is_modified(a)  # False
>     a.value = x
>     print "a.value = %0.60f" % a.value
>     print "session.is_modified(a) = %s" % session.is_modified(a)  # True
>     session.commit()  # UPDATE
>     session.close()
>
> Thanks,
>
> Seth
>
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