+
    il                     2    ^ RI Ht ^ RIHt RR ltRR ltR# )    )S)PolyNc                   Ve   RMRpV'       d   T p\        V .VO5/ VB p \        V.VO5/ VB pV P                  '       d   VP                  '       g   \        R4      hV P                  VP                  8X  g   \        R4      hV P                  pV P	                  4       ^8  g   VP	                  4       ^8  d   ^ 0# V P                  4       pV'       g   VP                  4       MTp\        4       pV^,           EF=  w  rV^,           EF)  w  rV	P	                  4       pVP	                  4       pW8w  d   K.  V	P                  4       pVP                  4       pW,
          P                  '       g   Kh  V	P                  W\^,
          ,          4      pVP                  W]^,
          ,          4      pVV,
          \        W,          4      ,          pVP                  '       g   K  V^ 8  g   VV9   d   K  V^8  d+   WP                  V4      ,
          P                  '       g   EK  VP                  V4       EK,  	  EK@  	  V# )ai  Compute the *dispersion set* of two polynomials.

For two polynomials `f(x)` and `g(x)` with `\deg f > 0`
and `\deg g > 0` the dispersion set `\operatorname{J}(f, g)` is defined as:

.. math::
    \operatorname{J}(f, g)
    & := \{a \in \mathbb{N}_0 | \gcd(f(x), g(x+a)) \neq 1\} \\
    &  = \{a \in \mathbb{N}_0 | \deg \gcd(f(x), g(x+a)) \geq 1\}

For a single polynomial one defines `\operatorname{J}(f) := \operatorname{J}(f, f)`.

Examples
========

>>> from sympy import poly
>>> from sympy.polys.dispersion import dispersion, dispersionset
>>> from sympy.abc import x

Dispersion set and dispersion of a simple polynomial:

>>> fp = poly((x - 3)*(x + 3), x)
>>> sorted(dispersionset(fp))
[0, 6]
>>> dispersion(fp)
6

Note that the definition of the dispersion is not symmetric:

>>> fp = poly(x**4 - 3*x**2 + 1, x)
>>> gp = fp.shift(-3)
>>> sorted(dispersionset(fp, gp))
[2, 3, 4]
>>> dispersion(fp, gp)
4
>>> sorted(dispersionset(gp, fp))
[]
>>> dispersion(gp, fp)
-oo

Computing the dispersion also works over field extensions:

>>> from sympy import sqrt
>>> fp = poly(x**2 + sqrt(5)*x - 1, x, domain='QQ<sqrt(5)>')
>>> gp = poly(x**2 + (2 + sqrt(5))*x + sqrt(5), x, domain='QQ<sqrt(5)>')
>>> sorted(dispersionset(fp, gp))
[2]
>>> sorted(dispersionset(gp, fp))
[1, 4]

We can even perform the computations for polynomials
having symbolic coefficients:

>>> from sympy.abc import a
>>> fp = poly(4*x**4 + (4*a + 8)*x**3 + (a**2 + 6*a + 4)*x**2 + (a**2 + 2*a)*x, x)
>>> sorted(dispersionset(fp))
[0, 1]

See Also
========

dispersion

References
==========

.. [1] [ManWright94]_
.. [2] [Koepf98]_
.. [3] [Abramov71]_
.. [4] [Man93]_
FTz!Polynomials need to be univariatez(Polynomials must have the same generator)r   is_univariate
ValueErrorgendegreefactor_listsetLCis_zerocoeff_monomialr   
is_integershiftadd)pqgensargssamer   fpfqJsunusedtmnanbnanm1bnm1alphas   &&*,               v/Users/tonyclaw/.openclaw/workspace/skills/math-calculator/venv/lib/python3.14/site-packages/sympy/polys/dispersion.pydispersionsetr%      s   R M5tDQAQA???!///<== 55AEE>CDD
%%C 	xxzA~as
 
B $"B 	AUU	AIA
A
AvBBG$$$ ##CA#J/D##CA#J/DD[AadG+E###qyEQJ1ua''%.0999EE%L+  0 H    c                n    \        W.VO5/ VB pV'       g   \        P                  pV# \        V4      pV# )a  Compute the *dispersion* of polynomials.

For two polynomials `f(x)` and `g(x)` with `\deg f > 0`
and `\deg g > 0` the dispersion `\operatorname{dis}(f, g)` is defined as:

.. math::
    \operatorname{dis}(f, g)
    & := \max\{ J(f,g) \cup \{0\} \} \\
    &  = \max\{ \{a \in \mathbb{N} | \gcd(f(x), g(x+a)) \neq 1\} \cup \{0\} \}

and for a single polynomial `\operatorname{dis}(f) := \operatorname{dis}(f, f)`.
Note that we make the definition `\max\{\} := -\infty`.

Examples
========

>>> from sympy import poly
>>> from sympy.polys.dispersion import dispersion, dispersionset
>>> from sympy.abc import x

Dispersion set and dispersion of a simple polynomial:

>>> fp = poly((x - 3)*(x + 3), x)
>>> sorted(dispersionset(fp))
[0, 6]
>>> dispersion(fp)
6

Note that the definition of the dispersion is not symmetric:

>>> fp = poly(x**4 - 3*x**2 + 1, x)
>>> gp = fp.shift(-3)
>>> sorted(dispersionset(fp, gp))
[2, 3, 4]
>>> dispersion(fp, gp)
4
>>> sorted(dispersionset(gp, fp))
[]
>>> dispersion(gp, fp)
-oo

The maximum of an empty set is defined to be `-\infty`
as seen in this example.

Computing the dispersion also works over field extensions:

>>> from sympy import sqrt
>>> fp = poly(x**2 + sqrt(5)*x - 1, x, domain='QQ<sqrt(5)>')
>>> gp = poly(x**2 + (2 + sqrt(5))*x + sqrt(5), x, domain='QQ<sqrt(5)>')
>>> sorted(dispersionset(fp, gp))
[2]
>>> sorted(dispersionset(gp, fp))
[1, 4]

We can even perform the computations for polynomials
having symbolic coefficients:

>>> from sympy.abc import a
>>> fp = poly(4*x**4 + (4*a + 8)*x**3 + (a**2 + 6*a + 4)*x**2 + (a**2 + 2*a)*x, x)
>>> sorted(dispersionset(fp))
[0, 1]

See Also
========

dispersionset

References
==========

.. [1] [ManWright94]_
.. [2] [Koepf98]_
.. [3] [Abramov71]_
.. [4] [Man93]_
)r%   r   NegativeInfinitymax)r   r   r   r   r   js   &&*,  r$   
dispersionr+      s>    X 	a*T*T*A H FHr&   )N)
sympy.corer   sympy.polysr   r%   r+    r&   r$   <module>r/      s     zzRr&   