o o h]7 @sdZddlmZddlmZddlmZddlmZddl m Z m Z ddl m Z idd d d d d d d d d ddddddddddddddddddddddddddddddd d!d"d#d$d% Zgd&ZGd'd(d(eZd.d*d+Zd,d-Zd)S)/z R code printer The RCodePrinter converts single SymPy expressions into single R expressions, using the functions defined in math.h where possible. ) annotations)Any) equal_valued) CodePrinter) precedence PRECEDENCE)RangeAbsabssincostanasinacosatanatan2explogerfsinhcoshtanhasinhacoshatanhfloorceilingsignmaxmin factorialgammadigammatrigammabetasqrt) rrrMaxMinr r!r"r#r$r%)ifelserepeatwhilefunctionforinnextbreakTRUEFALSENULLInfNaNNA NA_integer_NA_real_ NA_complex_ NA_character_volatilecs,eZdZUdZdZdZeejfidide dZde d<d d d d Z iZ d e d<ifddZ ddZddZddZddZddZddZddZdd Zd!d"Zd#d$Zd%d&Zd'd(Zd)d*Zd+d,Zd-d.Zd/d0Zd1d2Zd3d4Zd5d6Z fd7d8Z!d9d:Z"d;d<Z#d=d>Z$d?d@Z%Z&S)A RCodePrinterz;A printer to convert SymPy expressions to strings of R code_rcodeRT) precisionuser_functionscontract dereferencezdict[str, Any]_default_settings&|!)andornotzdict[str, str] 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{};)r}rrrr`)rTrrrrrWrWrX_print_AugmentedAssignments  z'RCodePrinter._print_AugmentedAssignmentcCsT||j}t|jtr|jj\}}}ntd||j}dj|||d||dS)Nz*Only iterable currently supported is RangezCfor({target} in seq(from={start}, to={stop}, by={step}){{ {body} }}rw)targetrystopstepbody) r}rriterablerrNotImplementedErrorrr`)rTrrryrrrrWrWrX _print_Fors    zRCodePrinter._print_Forc st|tr||d}d|Sd}dddd|D}fdd|D}fd d|D}g}d }t|D]%\}} | d vrG|| q9|||8}|d ||| f|||7}q9|S) z0Accepts a string of code or a list of code linesTz ){(z{ z( )r{rcSsg|]}|dqS)z )lstriprmlinerWrWrXrrz,RCodePrinter.indent_code..c g|] }ttt|jqSrW)ranymapendswithr) inc_tokenrWrXrs crrW)rrr startswithr) dec_tokenrWrXrsr)rrz%s%s)rstrri splitlinesr enumerater|) rTr code_linestabincreasedecreaseprettylevelnrrW)rrrXris*     zRCodePrinter.indent_code)'__name__ __module__ __qualname____doc__ printmethodlanguagerMrrDrQ__annotations__ _operatorsrKrLr[r^rbrfrkrvrrrrrrrrrrrrrrrrrri __classcell__rWrWrrXr<NsP     '   r<NcKst|||S)aConverts an expr to a string of r code Parameters ========== expr : Expr A SymPy expression to be converted. assign_to : optional When given, the argument is used as the name of the variable to which the expression is assigned. Can be a string, ``Symbol``, ``MatrixSymbol``, or ``Indexed`` type. This is helpful in case of line-wrapping, or for expressions that generate multi-line statements. precision : integer, optional The precision for numbers such as pi [default=15]. user_functions : dict, optional A dictionary where the keys are string representations of either ``FunctionClass`` or ``UndefinedFunction`` instances and the values are their desired R string representations. Alternatively, the dictionary value can be a list of tuples i.e. [(argument_test, rfunction_string)] or [(argument_test, rfunction_formater)]. See below for examples. human : bool, optional If True, the result is a single string that may contain some constant declarations for the number symbols. If False, the same information is returned in a tuple of (symbols_to_declare, not_supported_functions, code_text). [default=True]. contract: bool, optional If True, ``Indexed`` instances are assumed to obey tensor contraction rules and the corresponding nested loops over indices are generated. Setting contract=False will not generate loops, instead the user is responsible to provide values for the indices in the code. [default=True]. Examples ======== >>> from sympy import rcode, symbols, Rational, sin, ceiling, Abs, Function >>> x, tau = symbols("x, tau") >>> rcode((2*tau)**Rational(7, 2)) '8*sqrt(2)*tau^(7.0/2.0)' >>> rcode(sin(x), assign_to="s") 's = sin(x);' Simple custom printing can be defined for certain types by passing a dictionary of {"type" : "function"} to the ``user_functions`` kwarg. Alternatively, the dictionary value can be a list of tuples i.e. [(argument_test, cfunction_string)]. >>> custom_functions = { ... "ceiling": "CEIL", ... "Abs": [(lambda x: not x.is_integer, "fabs"), ... (lambda x: x.is_integer, "ABS")], ... "func": "f" ... } >>> func = Function('func') >>> rcode(func(Abs(x) + ceiling(x)), user_functions=custom_functions) 'f(fabs(x) + CEIL(x))' or if the R-function takes a subset of the original arguments: >>> rcode(2**x + 3**x, user_functions={'Pow': [ ... (lambda b, e: b == 2, lambda b, e: 'exp2(%s)' % e), ... (lambda b, e: b != 2, 'pow')]}) 'exp2(x) + pow(3, x)' ``Piecewise`` expressions are converted into conditionals. If an ``assign_to`` variable is provided an if statement is created, otherwise the ternary operator is used. Note that if the ``Piecewise`` lacks a default term, represented by ``(expr, True)`` then an error will be thrown. This is to prevent generating an expression that may not evaluate to anything. >>> from sympy import Piecewise >>> expr = Piecewise((x + 1, x > 0), (x, True)) >>> print(rcode(expr, assign_to=tau)) tau = ifelse(x > 0,x + 1,x); Support for loops is provided through ``Indexed`` types. With ``contract=True`` these expressions will be turned into loops, whereas ``contract=False`` will just print the assignment expression that should be looped over: >>> from sympy import Eq, IndexedBase, Idx >>> len_y = 5 >>> y = IndexedBase('y', shape=(len_y,)) >>> t = IndexedBase('t', shape=(len_y,)) >>> Dy = IndexedBase('Dy', shape=(len_y-1,)) >>> i = Idx('i', len_y-1) >>> e=Eq(Dy[i], (y[i+1]-y[i])/(t[i+1]-t[i])) >>> rcode(e.rhs, assign_to=e.lhs, contract=False) 'Dy[i] = (y[i + 1] - y[i])/(t[i + 1] - t[i]);' Matrices are also supported, but a ``MatrixSymbol`` of the same dimensions must be provided to ``assign_to``. Note that any expression that can be generated normally can also exist inside a Matrix: >>> from sympy import Matrix, MatrixSymbol >>> mat = Matrix([x**2, Piecewise((x + 1, x > 0), (x, True)), sin(x)]) >>> A = MatrixSymbol('A', 3, 1) >>> print(rcode(mat, A)) A[0] = x^2; A[1] = ifelse(x > 0,x + 1,x); A[2] = sin(x); )r<doprint)r assign_torUrWrWrXrcode%skrcKstt|fi|dS)z0Prints R representation of the given expression.N)printr)rrUrWrWrX print_rcodesrrh)r __future__rtypingrsympy.core.numbersrsympy.printing.codeprinterrsympy.printing.precedencerrsympy.sets.fancysetsrrNrSr<rrrWrWrWrXsv         # X n