o o hI@sdZddlmZmZmZmZmZmZmZm Z m Z ddl m Z ddl mZddlmZddlmZddlmZmZddlmZdd lmZdd lmZmZdd lmZed Zed Z edZ!edZ"edZ#edZ$GdddeZ%GdddeZ&ddZ'GdddeZ(GdddeZ)GdddeZ*GdddeZ+Gd d!d!eZ,Gd"d#d#eZ-Gd$d%d%eZ.Gd&d'd'e Z/e/Z0d(d)Z1e1d*Z2d\d,d+d+d-d.d/Z3d0d1Z4d2d3Z5d]d4d5Z6d]d6d7Z7d\d8d9Z8d]d:d;Z9d]dd?Z;Gd@dAdAeZGdFdGdGe>Z?GdHdIdIe>Z@GdJdKdKe>ZAGdLdMdMe>ZBGdNdOdOe>ZCGdPdQdQe?ZDGdRdSdSeZEGdTdUdUeEZFGdVdWdWeEZGGdXdYdYeeZHGdZd[d[eeZId+S)^z AST nodes specific to Fortran. The functions defined in this module allows the user to express functions such as ``dsign`` as a SymPy function for symbolic manipulation. ) Attribute CodeBlock FunctionCallNodenoneStringToken _mk_TupleVariable)BasicTuple)Expr)Function)FloatInteger)Str)sympifytruefalse)iterablepure elemental intent_in intent_out intent_inout allocatablec@s(eZdZdZdZZeZeddZ dS)Programaf Represents a 'program' block in Fortran. Examples ======== >>> from sympy.codegen.ast import Print >>> from sympy.codegen.fnodes import Program >>> prog = Program('myprogram', [Print([42])]) >>> from sympy import fcode >>> print(fcode(prog, source_format='free')) program myprogram print *, 42 end program )namebodycCt|SNrr r%h/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/sympy/codegen/fnodes.py3zProgram.N) __name__ __module__ __qualname____doc__ __slots___fieldsr_construct_name staticmethod_construct_bodyr%r%r%r&r!s rc@s eZdZdZdZZeZeZdS) use_renamea Represents a renaming in a use statement in Fortran. Examples ======== >>> from sympy.codegen.fnodes import use_rename, use >>> from sympy import fcode >>> ren = use_rename("thingy", "convolution2d") >>> print(fcode(ren, source_format='free')) thingy => convolution2d >>> full = use('signallib', only=['snr', ren]) >>> print(fcode(full, source_format='free')) use signallib, only: snr, thingy => convolution2d )localoriginalN) r)r*r+r,r-r.r_construct_local_construct_originalr%r%r%r&r26s r2cCst|dr|jSt|S)Nr)hasattrrrargr%r%r&_nameJs r:c@sBeZdZdZdZZeedZee Z eddZ eddZ dS)usea Represents a use statement in Fortran. Examples ======== >>> from sympy.codegen.fnodes import use >>> from sympy import fcode >>> fcode(use('signallib'), source_format='free') 'use signallib' >>> fcode(use('signallib', [('metric', 'snr')]), source_format='free') 'use signallib, metric => snr' >>> fcode(use('signallib', only=['snr', 'convolution2d']), source_format='free') 'use signallib, only: snr, convolution2d' ) namespacerenameonly)r=r>cCtdd|DS)NcSs"g|] }t|tr |nt|qSr%) isinstancer2.0r9r%r%r& c" use...r argsr%r%r&r'cz use.cCr?)NcSs"g|] }t|tr |nt|qSr%)r@r2r:rAr%r%r&rCdrDrEr rFr%r%r&r'drHN) r)r*r+r,r-r.rdefaultsr0r:_construct_namespace_construct_rename_construct_onlyr%r%r%r&r;Ps  r;c@s>eZdZdZdZZdeiZeZ e ddZ e ddZ dS) Modulea\ Represents a module in Fortran. Examples ======== >>> from sympy.codegen.fnodes import Module >>> from sympy import fcode >>> print(fcode(Module('signallib', ['implicit none'], []), source_format='free')) module signallib implicit none contains end module )r declarations definitionsrNcCsdd|D}t|S)NcSs"g|] }t|tr t|n|qSr%)r@strrrAr%r%r&rCrDz2Module._construct_declarations..r#)clsrGr%r%r&_construct_declarations}szModule._construct_declarationscCr!r"r#r8r%r%r&r'r(zModule.N)r)r*r+r,r-r.r rIrr/ classmethodrRr0_construct_definitionsr%r%r%r&rMgs  rMc@s:eZdZdZdZeejZeZe ddZ e ddZ dS) Subroutinea Represents a subroutine in Fortran. Examples ======== >>> from sympy import fcode, symbols >>> from sympy.codegen.ast import Print >>> from sympy.codegen.fnodes import Subroutine >>> x, y = symbols('x y', real=True) >>> sub = Subroutine('mysub', [x, y], [Print([x**2 + y**2, x*y])]) >>> print(fcode(sub, source_format='free', standard=2003)) subroutine mysub(x, y) real*8 :: x real*8 :: y print *, x**2 + y**2, x*y end subroutine )r parametersr cCstttj|Sr")r mapr deduced)paramsr%r%r&r'szSubroutine.cCst|tr|St|Sr")r@r)rQitrr%r%r&r1s zSubroutine._construct_bodyN) r)r*r+r,r-rr.rr/r0_construct_parametersrSr1r%r%r%r&rUs  rUc@s(eZdZdZdZZeeZee Z dS)SubroutineCallz Represents a call to a subroutine in Fortran. Examples ======== >>> from sympy.codegen.fnodes import SubroutineCall >>> from sympy import fcode >>> fcode(SubroutineCall('mysub', 'x y'.split())) ' call mysub(x, y)' )rsubroutine_argsN) r)r*r+r,r-r.r0r:r/r _construct_subroutine_argsr%r%r%r&r\s   r\c@s^eZdZdZdZZededZe ddZ e e Z e e Z e e Ze e Ze ddZdS) Doa Represents a Do loop in in Fortran. Examples ======== >>> from sympy import fcode, symbols >>> from sympy.codegen.ast import aug_assign, Print >>> from sympy.codegen.fnodes import Do >>> i, n = symbols('i n', integer=True) >>> r = symbols('r', real=True) >>> body = [aug_assign(r, '+', 1/i), Print([i, r])] >>> do1 = Do(body, i, 1, n) >>> print(fcode(do1, source_format='free')) do i = 1, n r = r + 1d0/i print *, i, r end do >>> do2 = Do(body, i, 1, n, 2) >>> print(fcode(do2, source_format='free')) do i = 1, n, 2 r = r + 1d0/i print *, i, r end do )r counterfirstlaststep concurrent)rcrdcCr!r"r#r$r%r%r&r'r(z Do.cCs |rtStSr"rr8r%r%r&r's N)r)r*r+r,r-r.rrrIr0r1r_construct_counter_construct_first_construct_last_construct_step_construct_concurrentr%r%r%r&r_s r_c@s eZdZdZdZZeeZdS)ArrayConstructoraT Represents an array constructor. Examples ======== >>> from sympy import fcode >>> from sympy.codegen.fnodes import ArrayConstructor >>> ac = ArrayConstructor([1, 2, 3]) >>> fcode(ac, standard=95, source_format='free') '(/1, 2, 3/)' >>> fcode(ac, standard=2003, source_format='free') '[1, 2, 3]' )elementsN) r)r*r+r,r-r.r0r _construct_elementsr%r%r%r&rks rkc@sLeZdZdZdZZdediZee Z ee Z ee Z ee Z ee ZdS) ImpliedDoLoopa Represents an implied do loop in Fortran. Examples ======== >>> from sympy import Symbol, fcode >>> from sympy.codegen.fnodes import ImpliedDoLoop, ArrayConstructor >>> i = Symbol('i', integer=True) >>> idl = ImpliedDoLoop(i**3, i, -3, 3, 2) # -27, -1, 1, 27 >>> ac = ArrayConstructor([-28, idl, 28]) # -28, -27, -1, 1, 27, 28 >>> fcode(ac, standard=2003, source_format='free') '[-28, (i**3, i = -3, 3, 2), 28]' )exprr`rarbrcrcreN)r)r*r+r,r-r.rrIr0r_construct_exprrfrgrhrir%r%r%r&rns  rnc@s eZdZdZddZddZdS)ExtentaC Represents a dimension extent. Examples ======== >>> from sympy.codegen.fnodes import Extent >>> e = Extent(-3, 3) # -3, -2, -1, 0, 1, 2, 3 >>> from sympy import fcode >>> fcode(e, source_format='free') '-3:3' >>> from sympy.codegen.ast import Variable, real >>> from sympy.codegen.fnodes import dimension, intent_out >>> dim = dimension(e, e) >>> arr = Variable('x', real, attrs=[dim, intent_out]) >>> fcode(arr.as_Declaration(), source_format='free', standard=2003) 'real*8, dimension(-3:3, -3:3), intent(out) :: x' cGs`t|dkr|\}}t|t|t|St|dks't|dkr,|ddvr,t|Std)Nrre):Nz5Expected 0 or 2 args (or one argument == None or ':'))lenr __new__r ValueError)rQrGlowhighr%r%r&rus $ zExtent.__new__cCs(t|jdkr dSddd|jDS)Nrrscss|]}t|VqdSr")rPrAr%r%r& $sz#Extent._sympystr..)rtrGjoin)selfprinterr%r%r& _sympystr!szExtent._sympystrN)r)r*r+r,rur}r%r%r%r&rqs rqcGst|dkr tdg}|D]8}t|tr||qt|tr3|dkr+|tq|t|qt|r?|t|q|t|qt|dkrQtdt d|S)a Creates a 'dimension' Attribute with (up to 7) extents. Examples ======== >>> from sympy import fcode >>> from sympy.codegen.fnodes import dimension, intent_in >>> dim = dimension('2', ':') # 2 rows, runtime determined number of columns >>> from sympy.codegen.ast import Variable, integer >>> arr = Variable('a', integer, attrs=[dim, intent_in]) >>> fcode(arr.as_Declaration(), source_format='free', standard=2003) 'integer*4, dimension(2, :), intent(in) :: a' z0Fortran only supports up to 7 dimensional arraysrsrzNeed at least one dimension dimension) rtrvr@rqappendrPrrrr)rGrVr9r%r%r&r)s      r*Nr%)attrsvaluetypecCst|trt|jdkrtdt|nt|}t||g}|dur8|ttt fvr3ttt d|}| ||durDt j |||dSt ||||dS)a Convenience function for creating a Variable instance for a Fortran array. Parameters ========== symbol : symbol dim : Attribute or iterable If dim is an ``Attribute`` it need to have the name 'dimension'. If it is not an ``Attribute``, then it is passed to :func:`dimension` as ``*dim`` intent : str One of: 'in', 'out', 'inout' or None \*\*kwargs: Keyword arguments for ``Variable`` ('type' & 'value') Examples ======== >>> from sympy import fcode >>> from sympy.codegen.ast import integer, real >>> from sympy.codegen.fnodes import array >>> arr = array('a', '*', 'in', type=integer) >>> print(fcode(arr.as_Declaration(), source_format='free', standard=2003)) integer*4, dimension(*), intent(in) :: a >>> x = array('x', [3, ':', ':'], intent='out', type=real) >>> print(fcode(x.as_Declaration(value=1), source_format='free', standard=2003)) real*8, dimension(3, :, :), intent(out) :: x = 1 rz/Got an unexpected Attribute argument as dim: %sN)inoutinout)rr) r@rrPrrvrlistrrrrr rX)symboldimintentrrrr%r%r&arrayNs  rcCst|tr t|St|Sr")r@rPrrr8r%r%r& _printable{srcCstdt|gS)a Creates an AST node for a function call to Fortran's "allocated(...)" Examples ======== >>> from sympy import fcode >>> from sympy.codegen.fnodes import allocated >>> alloc = allocated('x') >>> fcode(alloc, source_format='free') 'allocated(x)' allocatedrr)rr%r%r&rs rcC8tdt|g|r t|gng|rt|gSgS)ap Creates an AST node for a function call to Fortran's "lbound(...)" Parameters ========== array : Symbol or String dim : expr kind : expr Examples ======== >>> from sympy import fcode >>> from sympy.codegen.fnodes import lbound >>> lb = lbound('arr', dim=2) >>> fcode(lb, source_format='free') 'lbound(arr, 2)' lboundrrrkindr%r%r&r rcCr)Nuboundrrr%r%r&rs rcCs&tdt|g|rt|gSgS)aR Creates an AST node for a function call to Fortran's "shape(...)" Parameters ========== source : Symbol or String kind : expr Examples ======== >>> from sympy import fcode >>> from sympy.codegen.fnodes import shape >>> shp = shape('x') >>> fcode(shp, source_format='free') 'shape(x)' shaper)sourcerr%r%r&rs rcCr)a Creates an AST node for a function call to Fortran's "size(...)" Examples ======== >>> from sympy import fcode, Symbol >>> from sympy.codegen.ast import FunctionDefinition, real, Return >>> from sympy.codegen.fnodes import array, sum_, size >>> a = Symbol('a', real=True) >>> body = [Return((sum_(a**2)/size(a))**.5)] >>> arr = array(a, dim=[':'], intent='in') >>> fd = FunctionDefinition(real, 'rms', [arr], body) >>> print(fcode(fd, source_format='free', standard=2003)) real*8 function rms(a) real*8, dimension(:), intent(in) :: a rms = sqrt(sum(a**2)*1d0/size(a)) end function sizerrr%r%r&rrrcCs>tdt|t|g|rt|gng|rt|gSgS)z Creates an AST node for a function call to Fortran's "reshape(...)" Parameters ========== source : Symbol or String shape : ArrayExpr reshaper)rrpadorderr%r%r&rs  rcCstd|r t|gSgS)a Creates an Attribute ``bind_C`` with a name. Parameters ========== name : str Examples ======== >>> from sympy import fcode, Symbol >>> from sympy.codegen.ast import FunctionDefinition, real, Return >>> from sympy.codegen.fnodes import array, sum_, bind_C >>> a = Symbol('a', real=True) >>> s = Symbol('s', integer=True) >>> arr = array(a, dim=[s], intent='in') >>> body = [Return((sum_(a**2)/s)**.5)] >>> fd = FunctionDefinition(real, 'rms', [arr, s], body, attrs=[bind_C('rms')]) >>> print(fcode(fd, source_format='free', standard=2003)) real*8 function rms(a, s) bind(C, name="rms") real*8, dimension(s), intent(in) :: a integer*4 :: s rms = sqrt(sum(a**2)/s) end function bind_C)rr)rr%r%r&rsrc@s0eZdZdZdZZdeiZee Z ee Z dS)GoToa Represents a goto statement in Fortran Examples ======== >>> from sympy.codegen.fnodes import GoTo >>> go = GoTo([10, 20, 30], 'i') >>> from sympy import fcode >>> fcode(go, source_format='free') 'go to (10, 20, 30), i' )labelsroroN) r)r*r+r,r-r.rrIr0r _construct_labelsrrpr%r%r%r&rs   rc@s(eZdZdZdZZdeiZee Z dS) FortranReturnaK AST node explicitly mapped to a fortran "return". Explanation =========== Because a return statement in fortran is different from C, and in order to aid reuse of our codegen ASTs the ordinary ``.codegen.ast.Return`` is interpreted as assignment to the result variable of the function. If one for some reason needs to generate a fortran RETURN statement, this node should be used. Examples ======== >>> from sympy.codegen.fnodes import FortranReturn >>> from sympy import fcode >>> fcode(FortranReturn('x')) ' return x' ) return_valuerN) r)r*r+r,r-r.rrIr0r_construct_return_valuer%r%r%r&r,s  rc@seZdZdZddZdS) FFunctionMcCsF|jj}|jd|jkrtd||jfd|dt|j|j S)Nstandardz%s requires Fortran %d or newerz{}({})z, ) __class__r) _settings_required_standardNotImplementedErrorformatrzrW_printrG)r{r|rr%r%r&_fcodeIs zFFunction._fcodeN)r)r*r+rrr%r%r%r&rFs rc@seZdZdZdS) F95Function_N)r)r*r+rr%r%r%r&rQsrc@eZdZdZdZdS)isignz/ Fortran sign intrinsic for integer arguments. rrNr)r*r+r,nargsr%r%r%r&rUrc@r)dsignz8 Fortran sign intrinsic for double precision arguments. rrNrr%r%r%r&rZrrc@r)cmplxz& Fortran complex conversion function. rrNrr%r%r%r&r_rrc@r)rz Fortran kind function. reNrr%r%r%r&rdrrc@r)mergez Fortran merge function Nrr%r%r%r&rirrc@seZdZdZdZddZdS)_literalNcOspd|j|d\}}|dd}|d|ddd}}|dkr)dn|}|p.d|j||p6dS) Nz%.{}ee0.rre+)r _decimalssplitstriprstriplstrip_token)r{r|rGkwargsmantissasgnd_exex_sgnex_numr%r%r&rrs z_literal._fcode)r)r*r+rrrr%r%r%r&rns rc@eZdZdZdZdZdS) literal_spz' Fortran single precision real literal r Nr)r*r+r,rrr%r%r%r&rzrc@r) literal_dpz' Fortran double precision real literal dNrr%r%r%r&rrrc@.eZdZdZZeedZeeZ eeZ dS)sum_rrmaskrrN r)r*r+r-r.rrIr0r_construct_array_construct_dimr%r%r%r&r   rc@r)product_rrNrr%r%r%r&rrrr")NN)Jr,sympy.codegen.astrrrrrrrr r sympy.core.basicr sympy.core.containersr sympy.core.exprrsympy.core.functionrsympy.core.numbersrrsympy.core.symbolrsympy.core.sympifyr sympy.logicrrsympy.utilities.iterablesrrrrrrrrr2r:r;rMrUr\r_rkrnrqassumed_extentr assumed_sizerrrrrrrrrrrrrrrrrrrrrrrr%r%r%r&sl,       %!#-