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Equality and Coercion could be harmful
======================================
Equality using Coercion considered harmful?
===========================================
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The goal of this page is to gather all problems due to equality accepting coercion in borderline cases:: Currently, Sage specifies that, upon comparing with ``a==b`` two objects `a` and `b` that do not have the same parent, a coercion is attempted to put them in the same parent. To prepare a discussion on whether that specification is viable in the long run, we are gathering here (borderline?) use cases where this behaviour is harmful.

::
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But gathered from Python 2.7 documentation:: However Python 2.7 documentation specifies::
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pi is an integer (and transitivity of equality)
-----------------------------------------------

{{{
sage: R1 = RealField(2)
sage: R2 = RealField(56)
sage: pi1 = R1(pi); pi1
3.0
sage: pi2 = R2(pi); pi2
3.141592653589793
sage: pi1 == pi2
True
sage: bool(pi == pi2)
True
sage: pi1 == 3
True
}}}

And we get a nice proof that pi = 3.
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An example showing that Sage's specifications clashes with Python's specifications
----------------------------------------------------------------------------------

::

    sage: S = SymmetricFunctions(QQ)
    sage: x = S.s()[5]
    sage: y = S.p()(x)
    sage: x == y
    True
    sage: hash(x), hash(y)
    (-1840429907820881728, 5178019317311573726)

It's surely syntactically nice to have x == y evaluate True after a
coercion. However enforcing that the two hash functions be the same
would be simply impossible: this would force to systematically coerce
any symmetric function to some fixed base for computing the hash
function, and we just can't afford that.

Equality using Coercion considered harmful?

Currently, Sage specifies that, upon comparing with a==b two objects a and b that do not have the same parent, a coercion is attempted to put them in the same parent. To prepare a discussion on whether that specification is viable in the long run, we are gathering here (borderline?) use cases where this behaviour is harmful.

sage: bool(pi == 3.14159265358979323)
True
sage: hash(pi)
2943215493
sage: hash(3.14159265358979323)
1826823505

However Python 2.7 documentation specifies:

object.__hash__(self)
Called by built-in function hash() and for operations on members of hashed collections including set,
frozenset, and dict. __hash__() should return an integer. The only required property is that objects
which compare equal have the same hash value;

As a first consequence of the above behavior:

sage: {3.1415926535897932: 'approx', pi: 'exact'}
{3.1415926535897932: 'approx', pi: 'exact'}
sage: {0:"exact", 0.0000000000000000000:"approx"}
{0: 'approx'}

And also:

sage: pii = 3.14159265358979323
sage: bool(pii == pi)
True
sage: dd = {pi: "exact"}
sage: pi in dd
True
sage: pii in dd
False
sage: pii in dd.keys()
True

pi is an integer (and transitivity of equality)

{{{ sage: R1 = RealField(2) sage: R2 = RealField(56) sage: pi1 = R1(pi); pi1 3.0 sage: pi2 = R2(pi); pi2 3.141592653589793 sage: pi1 == pi2 True sage: bool(pi == pi2) True sage: pi1 == 3 True

And we get a nice proof that pi = 3.

More strange consequences when using UniqueRepresentation


::

An example showing that Sage's specifications clashes with Python's specifications


::

  • sage: S = SymmetricFunctions(QQ) sage: x = S.s()[5] sage: y = S.p()(x) sage: x == y True sage: hash(x), hash(y) (-1840429907820881728, 5178019317311573726)

It's surely syntactically nice to have x == y evaluate True after a coercion. However enforcing that the two hash functions be the same would be simply impossible: this would force to systematically coerce any symmetric function to some fixed base for computing the hash function, and we just can't afford that.

}}}

EqualityCoercion (last edited 2017-03-13 22:32:31 by hivertwiki)