U L?h/@sdZddlmZddlmZddlmZddlmZddl m Z ddl m Z m Z mZmZmZddlmZmZmZmZmZmZmZmZmZdd lmZdd d Zejd fd dZejd fddZ ejd fddZ!ejd fddZ"ejd fddZ#ejd fddZ$d S)af Singularities ============= This module implements algorithms for finding singularities for a function and identifying types of functions. The differential calculus methods in this module include methods to identify the following function types in the given ``Interval``: - Increasing - Strictly Increasing - Decreasing - Strictly Decreasing - Monotonic )Pow)S)Symbol)sympify)log)seccsccottancos) sechcschcothtanhcoshasechacschatanhacoth) filldedentNcCs(ddlm}|dkr&|jr tjntj}ztj}|tt t t gt }|t tttgt}|tD]*}|jjrpt|jjr`|||j||7}q`|tttD]}|||jd||7}q|ttD]8}|||jdd||7}|||jdd||7}q|WStk r"ttdYnXdS)a Find singularities of a given function. Parameters ========== expression : Expr The target function in which singularities need to be found. symbol : Symbol The symbol over the values of which the singularity in expression in being searched for. Returns ======= Set A set of values for ``symbol`` for which ``expression`` has a singularity. An ``EmptySet`` is returned if ``expression`` has no singularities for any given value of ``Symbol``. Raises ====== NotImplementedError Methods for determining the singularities of this function have not been developed. Notes ===== This function does not find non-isolated singularities nor does it find branch points of the expression. Currently supported functions are: - univariate continuous (real or complex) functions References ========== .. [1] https://en.wikipedia.org/wiki/Mathematical_singularity Examples ======== >>> from sympy import singularities, Symbol, log >>> x = Symbol('x', real=True) >>> y = Symbol('y', real=False) >>> singularities(x**2 + x + 1, x) EmptySet >>> singularities(1/(x + 1), x) {-1} >>> singularities(1/(y**2 + 1), y) {-I, I} >>> singularities(1/(y**3 + 1), y) {-1, 1/2 - sqrt(3)*I/2, 1/2 + sqrt(3)*I/2} >>> singularities(log(x), x) {0} rsolvesetNzl Methods for determining the singularities of this function have not been developed.) sympy.solvers.solvesetrZis_realrRealsZ ComplexesEmptySetZrewriterrr r r r r rrrZatomsrexp is_infiniteNotImplementedErrorZ is_negativebaserrrargsrrr) expressionsymboldomainrZsingseir&N/var/www/html/venv/lib/python3.8/site-packages/sympy/calculus/singularities.py singularitiess(< r(c Cstddlm}t|}|j}|dkr6t|dkr6td|pL|rF|ntd}||}||||t j }| |S)a Helper function for functions checking function monotonicity. Parameters ========== expression : Expr The target function which is being checked predicate : function The property being tested for. The function takes in an integer and returns a boolean. The integer input is the derivative and the boolean result should be true if the property is being held, and false otherwise. interval : Set, optional The range of values in which we are testing, defaults to all reals. symbol : Symbol, optional The symbol present in expression which gets varied over the given range. It returns a boolean indicating whether the interval in which the function's derivative satisfies given predicate is a superset of the given interval. Returns ======= Boolean True if ``predicate`` is true for all the derivatives when ``symbol`` is varied in ``range``, False otherwise. rrNrzKThe function has not yet been implemented for all multivariate expressions.x) rrr free_symbolslenrpoprdiffrrZ is_subset) r! predicateintervalr"rfreevariableZ derivativeZpredicate_intervalr&r&r'monotonicity_helperxs   r2cCst|dd||S)a Return whether the function is increasing in the given interval. Parameters ========== expression : Expr The target function which is being checked. interval : Set, optional The range of values in which we are testing (defaults to set of all real numbers). symbol : Symbol, optional The symbol present in expression which gets varied over the given range. Returns ======= Boolean True if ``expression`` is increasing (either strictly increasing or constant) in the given ``interval``, False otherwise. Examples ======== >>> from sympy import is_increasing >>> from sympy.abc import x, y >>> from sympy import S, Interval, oo >>> is_increasing(x**3 - 3*x**2 + 4*x, S.Reals) True >>> is_increasing(-x**2, Interval(-oo, 0)) True >>> is_increasing(-x**2, Interval(0, oo)) False >>> is_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval(-2, 3)) False >>> is_increasing(x**2 + y, Interval(1, 2), x) True cSs|dkSNrr&r)r&r&r'zis_increasing..r2r!r/r"r&r&r' is_increasings(r9cCst|dd||S)at Return whether the function is strictly increasing in the given interval. Parameters ========== expression : Expr The target function which is being checked. interval : Set, optional The range of values in which we are testing (defaults to set of all real numbers). symbol : Symbol, optional The symbol present in expression which gets varied over the given range. Returns ======= Boolean True if ``expression`` is strictly increasing in the given ``interval``, False otherwise. Examples ======== >>> from sympy import is_strictly_increasing >>> from sympy.abc import x, y >>> from sympy import Interval, oo >>> is_strictly_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval.Ropen(-oo, -2)) True >>> is_strictly_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval.Lopen(3, oo)) True >>> is_strictly_increasing(4*x**3 - 6*x**2 - 72*x + 30, Interval.open(-2, 3)) False >>> is_strictly_increasing(-x**2, Interval(0, oo)) False >>> is_strictly_increasing(-x**2 + y, Interval(-oo, 0), x) False cSs|dkSr3r&r4r&r&r'r5r6z(is_strictly_increasing..r7r8r&r&r'is_strictly_increasings(r:cCst|dd||S)a Return whether the function is decreasing in the given interval. Parameters ========== expression : Expr The target function which is being checked. interval : Set, optional The range of values in which we are testing (defaults to set of all real numbers). symbol : Symbol, optional The symbol present in expression which gets varied over the given range. Returns ======= Boolean True if ``expression`` is decreasing (either strictly decreasing or constant) in the given ``interval``, False otherwise. Examples ======== >>> from sympy import is_decreasing >>> from sympy.abc import x, y >>> from sympy import S, Interval, oo >>> is_decreasing(1/(x**2 - 3*x), Interval.open(S(3)/2, 3)) True >>> is_decreasing(1/(x**2 - 3*x), Interval.open(1.5, 3)) True >>> is_decreasing(1/(x**2 - 3*x), Interval.Lopen(3, oo)) True >>> is_decreasing(1/(x**2 - 3*x), Interval.Ropen(-oo, S(3)/2)) False >>> is_decreasing(1/(x**2 - 3*x), Interval.Ropen(-oo, 1.5)) False >>> is_decreasing(-x**2, Interval(-oo, 0)) False >>> is_decreasing(-x**2 + y, Interval(-oo, 0), x) False cSs|dkSr3r&r4r&r&r'r5+r6zis_decreasing..r7r8r&r&r' is_decreasings,r;cCst|dd||S)aZ Return whether the function is strictly decreasing in the given interval. Parameters ========== expression : Expr The target function which is being checked. interval : Set, optional The range of values in which we are testing (defaults to set of all real numbers). symbol : Symbol, optional The symbol present in expression which gets varied over the given range. Returns ======= Boolean True if ``expression`` is strictly decreasing in the given ``interval``, False otherwise. Examples ======== >>> from sympy import is_strictly_decreasing >>> from sympy.abc import x, y >>> from sympy import S, Interval, oo >>> is_strictly_decreasing(1/(x**2 - 3*x), Interval.Lopen(3, oo)) True >>> is_strictly_decreasing(1/(x**2 - 3*x), Interval.Ropen(-oo, S(3)/2)) False >>> is_strictly_decreasing(1/(x**2 - 3*x), Interval.Ropen(-oo, 1.5)) False >>> is_strictly_decreasing(-x**2, Interval(-oo, 0)) False >>> is_strictly_decreasing(-x**2 + y, Interval(-oo, 0), x) False cSs|dkSr3r&r4r&r&r'r5Vr6z(is_strictly_decreasing..r7r8r&r&r'is_strictly_decreasing.s(r<cCspddlm}t|}|j}|dkr6t|dkr6td|pL|rF|ntd}|||||}| |t j kS)a Return whether the function is monotonic in the given interval. Parameters ========== expression : Expr The target function which is being checked. interval : Set, optional The range of values in which we are testing (defaults to set of all real numbers). symbol : Symbol, optional The symbol present in expression which gets varied over the given range. Returns ======= Boolean True if ``expression`` is monotonic in the given ``interval``, False otherwise. Raises ====== NotImplementedError Monotonicity check has not been implemented for the queried function. Examples ======== >>> from sympy import is_monotonic >>> from sympy.abc import x, y >>> from sympy import S, Interval, oo >>> is_monotonic(1/(x**2 - 3*x), Interval.open(S(3)/2, 3)) True >>> is_monotonic(1/(x**2 - 3*x), Interval.open(1.5, 3)) True >>> is_monotonic(1/(x**2 - 3*x), Interval.Lopen(3, oo)) True >>> is_monotonic(x**3 - 3*x**2 + 4*x, S.Reals) True >>> is_monotonic(-x**2, S.Reals) False >>> is_monotonic(x**2 + y + 1, Interval(1, 2), x) True rrNrzKis_monotonic has not yet been implemented for all multivariate expressions.r)) rrrr*r+rr,rr- intersectionrr)r!r/r"rr0r1Zturning_pointsr&r&r' is_monotonicYs0 r>)N)%__doc__Zsympy.core.powerrZsympy.core.singletonrZsympy.core.symbolrZsympy.core.sympifyrZ&sympy.functions.elementary.exponentialrZ(sympy.functions.elementary.trigonometricrrr r r Z%sympy.functions.elementary.hyperbolicr r rrrrrrrZsympy.utilities.miscrr(rr2r9r:r;r<r>r&r&r&r's     ,  [1++/+