U 9%eI@sdZddlmZmZddlmZddlmZmZm Z m Z ddl m Z ddl mZmZddlmZddlmZmZed(d d Zd d ZddZddZddZddZddZddZddZddZddZd d!Z d"d#Z!Gd$d%d%Z"eGd&d'd'eZ#d S))z@Tools and arithmetics for monomials of distributed polynomials. )combinations_with_replacementproduct)dedent)MulSTuplesympify)ExactQuotientFailed)PicklableWithSlotsdict_from_expr)public) is_sequenceiterableNc#st|}tr~t|kr$tddkr8dg|n@tsJtdn.t|kr^tdtddDrxtdd}n:}|dkrtd dkrd}ndkrtd }d }|r||krdS|r|dkrtjVdSt|tjg}td d|Drg}t||D]Z}d d|D} |D] } | dkr*| | d7<q*t | |kr| t |qt |EdHnzg} t||dD]Z}dd|D} |D] } | dkr| | d7<qt | |kr| t |qt | EdHntfddt|Dr"tdg} t|D].\} }| fddt| |dDq2t| D]} t | VqjdS)a ``max_degrees`` and ``min_degrees`` are either both integers or both lists. Unless otherwise specified, ``min_degrees`` is either ``0`` or ``[0, ..., 0]``. A generator of all monomials ``monom`` is returned, such that either ``min_degree <= total_degree(monom) <= max_degree``, or ``min_degrees[i] <= degree_list(monom)[i] <= max_degrees[i]``, for all ``i``. Case I. ``max_degrees`` and ``min_degrees`` are both integers ============================================================= Given a set of variables $V$ and a min_degree $N$ and a max_degree $M$ generate a set of monomials of degree less than or equal to $N$ and greater than or equal to $M$. The total number of monomials in commutative variables is huge and is given by the following formula if $M = 0$: .. math:: \frac{(\#V + N)!}{\#V! N!} For example if we would like to generate a dense polynomial of a total degree $N = 50$ and $M = 0$, which is the worst case, in 5 variables, assuming that exponents and all of coefficients are 32-bit long and stored in an array we would need almost 80 GiB of memory! Fortunately most polynomials, that we will encounter, are sparse. Consider monomials in commutative variables $x$ and $y$ and non-commutative variables $a$ and $b$:: >>> from sympy import symbols >>> from sympy.polys.monomials import itermonomials >>> from sympy.polys.orderings import monomial_key >>> from sympy.abc import x, y >>> sorted(itermonomials([x, y], 2), key=monomial_key('grlex', [y, x])) [1, x, y, x**2, x*y, y**2] >>> sorted(itermonomials([x, y], 3), key=monomial_key('grlex', [y, x])) [1, x, y, x**2, x*y, y**2, x**3, x**2*y, x*y**2, y**3] >>> a, b = symbols('a, b', commutative=False) >>> set(itermonomials([a, b, x], 2)) {1, a, a**2, b, b**2, x, x**2, a*b, b*a, x*a, x*b} >>> sorted(itermonomials([x, y], 2, 1), key=monomial_key('grlex', [y, x])) [x, y, x**2, x*y, y**2] Case II. ``max_degrees`` and ``min_degrees`` are both lists =========================================================== If ``max_degrees = [d_1, ..., d_n]`` and ``min_degrees = [e_1, ..., e_n]``, the number of monomials generated is: .. math:: (d_1 - e_1 + 1) (d_2 - e_2 + 1) \cdots (d_n - e_n + 1) Let us generate all monomials ``monom`` in variables $x$ and $y$ such that ``[1, 2][i] <= degree_list(monom)[i] <= [2, 4][i]``, ``i = 0, 1`` :: >>> from sympy import symbols >>> from sympy.polys.monomials import itermonomials >>> from sympy.polys.orderings import monomial_key >>> from sympy.abc import x, y >>> sorted(itermonomials([x, y], [2, 4], [1, 2]), reverse=True, key=monomial_key('lex', [x, y])) [x**2*y**4, x**2*y**3, x**2*y**2, x*y**4, x*y**3, x*y**2] zArgument sizes do not matchNrzmin_degrees is not a listcss|]}|dkVqdSrN.0irrT/var/www/html/Darija-Ai-API/env/lib/python3.8/site-packages/sympy/polys/monomials.py bsz itermonomials..z+min_degrees cannot contain negative numbersFzmax_degrees cannot be negativezmin_degrees cannot be negativeTcss|] }|jVqdSN)Zis_commutativervariablerrrrxscSsi|] }|dqSrrrrrr {sz!itermonomials..)repeatcSsi|] }|dqSrrrrrrrsc3s|]}||kVqdSrrr) max_degrees min_degreesrrrsz2min_degrees[i] must be <= max_degrees[i] for all icsg|] }|qSrrr)varrr sz!itermonomials..)lenr ValueErroranyrZOnelistallrsumvaluesappendrsetrrangezip) variablesrrnZ total_degreeZ max_degreeZ min_degreeZmonomials_list_commitemZpowersrZmonomials_list_non_commZ power_listsZmin_dZmax_dr)rrrr itermonomials snJ       & r/cCs(ddlm}|||||||S)aW Computes the number of monomials. The number of monomials is given by the following formula: .. math:: \frac{(\#V + N)!}{\#V! N!} where `N` is a total degree and `V` is a set of variables. Examples ======== >>> from sympy.polys.monomials import itermonomials, monomial_count >>> from sympy.polys.orderings import monomial_key >>> from sympy.abc import x, y >>> monomial_count(2, 2) 6 >>> M = list(itermonomials([x, y], 2)) >>> sorted(M, key=monomial_key('grlex', [y, x])) [1, x, y, x**2, x*y, y**2] >>> len(M) 6 r) factorial)Z(sympy.functions.combinatorial.factorialsr0)VNr0rrrmonomial_counts r3cCstddt||DS)a% Multiplication of tuples representing monomials. Examples ======== Lets multiply `x**3*y**4*z` with `x*y**2`:: >>> from sympy.polys.monomials import monomial_mul >>> monomial_mul((3, 4, 1), (1, 2, 0)) (4, 6, 1) which gives `x**4*y**5*z`. cSsg|]\}}||qSrrrabrrrr sz monomial_mul..tupler+ABrrr monomial_mulsr<cCs,t||}tdd|Dr$t|SdSdS)a Division of tuples representing monomials. Examples ======== Lets divide `x**3*y**4*z` by `x*y**2`:: >>> from sympy.polys.monomials import monomial_div >>> monomial_div((3, 4, 1), (1, 2, 0)) (2, 2, 1) which gives `x**2*y**2*z`. However:: >>> monomial_div((3, 4, 1), (1, 2, 2)) is None True `x*y**2*z**2` does not divide `x**3*y**4*z`. css|]}|dkVqdSrr)rcrrrrszmonomial_div..N) monomial_ldivr%r8)r:r;Crrr monomial_divs r@cCstddt||DS)a Division of tuples representing monomials. Examples ======== Lets divide `x**3*y**4*z` by `x*y**2`:: >>> from sympy.polys.monomials import monomial_ldiv >>> monomial_ldiv((3, 4, 1), (1, 2, 0)) (2, 2, 1) which gives `x**2*y**2*z`. >>> monomial_ldiv((3, 4, 1), (1, 2, 2)) (2, 2, -1) which gives `x**2*y**2*z**-1`. cSsg|]\}}||qSrrr4rrrr sz!monomial_ldiv..r7r9rrrr>sr>cstfdd|DS)z%Return the n-th pow of the monomial. csg|] }|qSrrrr5r-rrr sz monomial_pow..)r8)r:r-rrBr monomial_powsrCcCstddt||DS)a. Greatest common divisor of tuples representing monomials. Examples ======== Lets compute GCD of `x*y**4*z` and `x**3*y**2`:: >>> from sympy.polys.monomials import monomial_gcd >>> monomial_gcd((1, 4, 1), (3, 2, 0)) (1, 2, 0) which gives `x*y**2`. cSsg|]\}}t||qSr)minr4rrrr sz monomial_gcd..r7r9rrr monomial_gcdsrEcCstddt||DS)a1 Least common multiple of tuples representing monomials. Examples ======== Lets compute LCM of `x*y**4*z` and `x**3*y**2`:: >>> from sympy.polys.monomials import monomial_lcm >>> monomial_lcm((1, 4, 1), (3, 2, 0)) (3, 4, 1) which gives `x**3*y**4*z`. cSsg|]\}}t||qSr)maxr4rrrr &sz monomial_lcm..r7r9rrr monomial_lcmsrGcCstddt||DS)z Does there exist a monomial X such that XA == B? Examples ======== >>> from sympy.polys.monomials import monomial_divides >>> monomial_divides((1, 2), (3, 4)) True >>> monomial_divides((1, 2), (0, 2)) False css|]\}}||kVqdSrrr4rrrr5sz#monomial_divides..)r%r+r9rrrmonomial_divides(s rHcGsJt|d}|ddD](}t|D]\}}t|||||<q$qt|S)a Returns maximal degree for each variable in a set of monomials. Examples ======== Consider monomials `x**3*y**4*z**5`, `y**5*z` and `x**6*y**3*z**9`. We wish to find out what is the maximal degree for each of `x`, `y` and `z` variables:: >>> from sympy.polys.monomials import monomial_max >>> monomial_max((3,4,5), (0,5,1), (6,3,9)) (6, 5, 9) rrN)r$ enumeraterFr8ZmonomsMr2rr-rrr monomial_max7s  rLcGsJt|d}|ddD](}t|D]\}}t|||||<q$qt|S)a Returns minimal degree for each variable in a set of monomials. Examples ======== Consider monomials `x**3*y**4*z**5`, `y**5*z` and `x**6*y**3*z**9`. We wish to find out what is the minimal degree for each of `x`, `y` and `z` variables:: >>> from sympy.polys.monomials import monomial_min >>> monomial_min((3,4,5), (0,5,1), (6,3,9)) (0, 3, 1) rrN)r$rIrDr8rJrrr monomial_minPs  rMcCst|S)z Returns the total degree of a monomial. Examples ======== The total degree of `xy^2` is 3: >>> from sympy.polys.monomials import monomial_deg >>> monomial_deg((1, 2)) 3 )r&)rKrrr monomial_degis rNcCsf|\}}|\}}t||}|jr>|dk r8||||fSdSn$|dks^||s^||||fSdSdS)z,Division of two terms in over a ring/field. N)r@Zis_FieldZquo)r5r6domainZa_lmZa_lcZb_lmZb_lcmonomrrrterm_divxs rQc@s`eZdZdZddZddZddZdd Zd d Zd d Z ddZ ddZ ddZ ddZ dS) MonomialOpsz6Code generator of fast monomial arithmetic functions. cCs ||_dSr)ngens)selfrSrrr__init__szMonomialOps.__init__cCsi}t||||Sr)exec)rTcodenamensrrr_builds zMonomialOps._buildcsfddt|jDS)Ncsg|]}d|fqS)z%s%srrrXrrr sz%MonomialOps._vars..)r*rS)rTrXrr[r_varsszMonomialOps._varscCsdd}td}|d}|d}ddt||D}||d|d|d|d}|||S) Nr<s def %(name)s(A, B): (%(A)s,) = A (%(B)s,) = B return (%(AB)s,) r5r6cSsg|]\}}d||fqS)z%s + %srr4rrrr sz#MonomialOps.mul.., rXr:r;ABrr\r+joinrZrTrXtemplater:r;r`rWrrrmuls  $zMonomialOps.mulcCsLd}td}|d}dd|D}||d|d|d}|||S)NrCzZ def %(name)s(A, k): (%(A)s,) = A return (%(Ak)s,) r5cSsg|] }d|qS)z%s*krrArrrr sz#MonomialOps.pow..r^)rXr:Ak)rr\rbrZ)rTrXrdr:rfrWrrrpows  zMonomialOps.powcCsdd}td}|d}|d}ddt||D}||d|d|d|d}|||S) NZmonomial_mulpowzw def %(name)s(A, B, k): (%(A)s,) = A (%(B)s,) = B return (%(ABk)s,) r5r6cSsg|]\}}d||fqS)z %s + %s*krr4rrrr sz&MonomialOps.mulpow..r^)rXr:r;ABkra)rTrXrdr:r;rhrWrrrmulpows  $zMonomialOps.mulpowcCsdd}td}|d}|d}ddt||D}||d|d|d|d}|||S) Nr>r]r5r6cSsg|]\}}d||fqS)z%s - %srr4rrrr sz$MonomialOps.ldiv..r^r_rarcrrrldivs  $zMonomialOps.ldivcCsvd}td}|d}|d}ddt|jD}|d}||d|d|d |d|d }|||S) Nr@z def %(name)s(A, B): (%(A)s,) = A (%(B)s,) = B %(RAB)s return (%(R)s,) r5r6cSsg|]}dd|iqS)z7r%(i)s = a%(i)s - b%(i)s if r%(i)s < 0: return Nonerrrrrrr sz#MonomialOps.div..rr^z )rXr:r;RABR)rr\r*rSrbrZ)rTrXrdr:r;rlrmrWrrrdivs   ,zMonomialOps.divcCsdd}td}|d}|d}ddt||D}||d|d|d|d}|||S) NrGr]r5r6cSs g|]\}}d||||fqS)z%s if %s >= %s else %srr4rrrr sz#MonomialOps.lcm..r^r_rarcrrrlcms  $zMonomialOps.lcmcCsdd}td}|d}|d}ddt||D}||d|d|d|d}|||S) NrEr]r5r6cSs g|]\}}d||||fqS)z%s if %s <= %s else %srr4rrrr sz#MonomialOps.gcd..r^r_rarcrrrgcds  $zMonomialOps.gcdN)__name__ __module__ __qualname____doc__rUrZr\rergrirjrnrorprrrrrRs rRc@seZdZdZdZd"ddZd#ddZdd Zd d Zd d Z ddZ ddZ ddZ ddZ ddZddZddZeZddZddZd d!ZdS)$Monomialz9Class representing a monomial, i.e. a product of powers. ) exponentsgensNcCsvt|s\tt||d\}}t|dkrNt|ddkrNt|d}ntd|t t t ||_ ||_ dS)N)rwrrzExpected a monomial got {})rr rr!r$r'keysr"formatr8mapintrvrw)rTrPrwreprrrrUs zMonomial.__init__cCs|||p|jSr) __class__rw)rTrvrwrrrrebuild szMonomial.rebuildcCs t|jSr)r!rvrTrrr__len__szMonomial.__len__cCs t|jSr)iterrvrrrr__iter__szMonomial.__iter__cCs |j|Sr)rv)rTr.rrr __getitem__szMonomial.__getitem__cCst|jj|j|jfSr)hashr}rqrvrwrrrr__hash__szMonomial.__hash__cCs:|jr$dddt|j|jDSd|jj|jfSdS)N*cSsg|]\}}d||fqS)z%s**%srrgenexprrrr sz$Monomial.__str__..z%s(%s))rwrbr+rvr}rqrrrr__str__szMonomial.__str__cGs4|p|j}|std|tddt||jDS)z3Convert a monomial instance to a SymPy expression. z5Cannot convert %s to an expression without generatorscSsg|]\}}||qSrrrrrrr (sz$Monomial.as_expr..)rwr"rr+rv)rTrwrrras_expr s  zMonomial.as_exprcCs4t|tr|j}nt|ttfr&|}ndS|j|kS)NF) isinstancerurvr8rrTotherrvrrr__eq__*s  zMonomial.__eq__cCs ||k Srr)rTrrrr__ne__4szMonomial.__ne__cCs<t|tr|j}nt|ttfr&|}nt|t|j|Sr)rrurvr8rNotImplementedErrorr~r<rrrr__mul__7s  zMonomial.__mul__cCsZt|tr|j}nt|ttfr&|}ntt|j|}|dk rH||St|t|dSr) rrurvr8rrr@r~r )rTrrvresultrrr __truediv__As   zMonomial.__truediv__cCsdt|}|s |dgt|S|dkrT|j}td|D]}t||j}q8||Std|dS)Nrrz'a non-negative integer expected, got %s)r{r~r!rvr*r<r")rTrr-rvrrrr__pow__Rs zMonomial.__pow__cCsDt|tr|j}n t|ttfr&|}n td||t|j|S)z&Greatest common divisor of monomials. .an instance of Monomial class expected, got %s)rrurvr8r TypeErrorr~rErrrrrpas z Monomial.gcdcCsDt|tr|j}n t|ttfr&|}n td||t|j|S)z$Least common multiple of monomials. r)rrurvr8rrr~rGrrrrroms z Monomial.lcm)N)N)rqrrrsrt __slots__rUr~rrrrrrrrrr __floordiv__rrprorrrrrus$     ru)N)$rt itertoolsrrtextwraprZ sympy.corerrrrZsympy.polys.polyerrorsr Zsympy.polys.polyutilsr r Zsympy.utilitiesr Zsympy.utilities.iterablesr rr/r3r<r@r>rCrErGrHrLrMrNrQrRrurrrrs2    !p