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bpo-43475: Fix worst case collision behavior for NaN instances (GH-25493)
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@ -692,10 +692,9 @@ Here are the rules in detail:
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as ``-hash(-x)``. If the resulting hash is ``-1``, replace it with
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``-2``.
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- The particular values ``sys.hash_info.inf``, ``-sys.hash_info.inf``
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and ``sys.hash_info.nan`` are used as hash values for positive
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infinity, negative infinity, or nans (respectively). (All hashable
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nans have the same hash value.)
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- The particular values ``sys.hash_info.inf`` and ``-sys.hash_info.inf``
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are used as hash values for positive
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infinity or negative infinity (respectively).
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- For a :class:`complex` number ``z``, the hash values of the real
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and imaginary parts are combined by computing ``hash(z.real) +
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@ -740,7 +739,7 @@ number, :class:`float`, or :class:`complex`::
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"""Compute the hash of a float x."""
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if math.isnan(x):
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return sys.hash_info.nan
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return super().__hash__()
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elif math.isinf(x):
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return sys.hash_info.inf if x > 0 else -sys.hash_info.inf
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else:
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@ -855,7 +855,7 @@ always available.
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+---------------------+--------------------------------------------------+
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| :const:`inf` | hash value returned for a positive infinity |
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+---------------------+--------------------------------------------------+
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| :const:`nan` | hash value returned for a nan |
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| :const:`nan` | (this attribute is no longer used) |
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+---------------------+--------------------------------------------------+
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| :const:`imag` | multiplier used for the imaginary part of a |
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| | complex number |
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@ -7,7 +7,7 @@ extern "C" {
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/* Helpers for hash functions */
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#ifndef Py_LIMITED_API
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PyAPI_FUNC(Py_hash_t) _Py_HashDouble(double);
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PyAPI_FUNC(Py_hash_t) _Py_HashDouble(PyObject *, double);
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PyAPI_FUNC(Py_hash_t) _Py_HashPointer(const void*);
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// Similar to _Py_HashPointer(), but don't replace -1 with -2
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PyAPI_FUNC(Py_hash_t) _Py_HashPointerRaw(const void*);
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@ -29,7 +29,6 @@ PyAPI_FUNC(Py_hash_t) _Py_HashBytes(const void*, Py_ssize_t);
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#define _PyHASH_MODULUS (((size_t)1 << _PyHASH_BITS) - 1)
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#define _PyHASH_INF 314159
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#define _PyHASH_NAN 0
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#define _PyHASH_IMAG _PyHASH_MULTIPLIER
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@ -951,7 +951,7 @@ class Decimal(object):
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if self.is_snan():
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raise TypeError('Cannot hash a signaling NaN value.')
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elif self.is_nan():
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return _PyHASH_NAN
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return super().__hash__()
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else:
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if self._sign:
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return -_PyHASH_INF
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@ -0,0 +1,3 @@
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Hashes of NaN values now depend on object identity. Formerly, they always
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hashed to 0 even though NaN values are not equal to one another. Having the
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same hash for unequal values caused pile-ups in hash tables.
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@ -4536,7 +4536,6 @@ _dec_hash(PyDecObject *v)
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#error "No valid combination of CONFIG_64, CONFIG_32 and _PyHASH_BITS"
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#endif
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const Py_hash_t py_hash_inf = 314159;
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const Py_hash_t py_hash_nan = 0;
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mpd_uint_t ten_data[1] = {10};
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mpd_t ten = {MPD_POS|MPD_STATIC|MPD_CONST_DATA,
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0, 2, 1, 1, ten_data};
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@ -4555,7 +4554,7 @@ _dec_hash(PyDecObject *v)
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return -1;
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}
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else if (mpd_isnan(MPD(v))) {
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return py_hash_nan;
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return _Py_HashPointer(v);
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}
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else {
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return py_hash_inf * mpd_arith_sign(MPD(v));
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@ -5939,5 +5938,3 @@ error:
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return NULL; /* GCOV_NOT_REACHED */
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}
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@ -412,10 +412,10 @@ static Py_hash_t
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complex_hash(PyComplexObject *v)
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{
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Py_uhash_t hashreal, hashimag, combined;
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hashreal = (Py_uhash_t)_Py_HashDouble(v->cval.real);
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hashreal = (Py_uhash_t)_Py_HashDouble((PyObject *) v, v->cval.real);
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if (hashreal == (Py_uhash_t)-1)
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return -1;
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hashimag = (Py_uhash_t)_Py_HashDouble(v->cval.imag);
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hashimag = (Py_uhash_t)_Py_HashDouble((PyObject *)v, v->cval.imag);
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if (hashimag == (Py_uhash_t)-1)
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return -1;
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/* Note: if the imaginary part is 0, hashimag is 0 now,
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@ -556,7 +556,7 @@ float_richcompare(PyObject *v, PyObject *w, int op)
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static Py_hash_t
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float_hash(PyFloatObject *v)
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{
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return _Py_HashDouble(v->ob_fval);
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return _Py_HashDouble((PyObject *)v, v->ob_fval);
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}
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static PyObject *
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@ -56,8 +56,12 @@ static Py_ssize_t hashstats[Py_HASH_STATS_MAX + 1] = {0};
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If the result of the reduction is infinity (this is impossible for
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integers, floats and Decimals) then use the predefined hash value
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_PyHASH_INF for x >= 0, or -_PyHASH_INF for x < 0, instead.
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_PyHASH_INF, -_PyHASH_INF and _PyHASH_NAN are also used for the
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hashes of float and Decimal infinities and nans.
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_PyHASH_INF and -_PyHASH_INF are also used for the
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hashes of float and Decimal infinities.
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NaNs hash with a pointer hash. Having distinct hash values prevents
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catastrophic pileups from distinct NaN instances which used to always
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have the same hash value but would compare unequal.
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A selling point for the above strategy is that it makes it possible
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to compute hashes of decimal and binary floating-point numbers
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@ -82,8 +86,10 @@ static Py_ssize_t hashstats[Py_HASH_STATS_MAX + 1] = {0};
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*/
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Py_hash_t _Py_HashPointer(const void *);
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Py_hash_t
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_Py_HashDouble(double v)
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_Py_HashDouble(PyObject *inst, double v)
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{
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int e, sign;
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double m;
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@ -93,7 +99,7 @@ _Py_HashDouble(double v)
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if (Py_IS_INFINITY(v))
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return v > 0 ? _PyHASH_INF : -_PyHASH_INF;
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else
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return _PyHASH_NAN;
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return _Py_HashPointer(inst);
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}
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m = frexp(v, &e);
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@ -1405,7 +1405,7 @@ get_hash_info(PyThreadState *tstate)
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PyStructSequence_SET_ITEM(hash_info, field++,
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PyLong_FromLong(_PyHASH_INF));
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PyStructSequence_SET_ITEM(hash_info, field++,
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PyLong_FromLong(_PyHASH_NAN));
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PyLong_FromLong(0)); // This is no longer used
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PyStructSequence_SET_ITEM(hash_info, field++,
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PyLong_FromLong(_PyHASH_IMAG));
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PyStructSequence_SET_ITEM(hash_info, field++,
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