Пример #1
0
    def _body_optional_variable(self,
                                tmp_variable,
                                variable,
                                collect_var,
                                check_type=False):
        """
        Responsible for collecting value and managing error and create the body
        of optional arguments in format
                if (pyobject == Py_None){
                    collect Null
                }else if(Type Check == False){
                    Print TypeError Wrong Type
                    return Null
                }else{
                    assign pyobject value to tmp variable
                    collect the adress of the tmp variable
                }
        Parameters:
        ----------
        tmp_variable : Variable
            The temporary variable  to hold result
        Variable : Variable
            The optional variable
        collect_var : variable
            the pyobject type variable  holder of value
        check_type : Boolean
            True if the type is needed

        Returns
        -------
        body : list
            A list of statements
        """
        body = [(PyccelEq(VariableAddress(collect_var),
                          VariableAddress(Py_None)),
                 [Assign(VariableAddress(variable), Nil())])]
        if check_type:  # Type check
            check = PyccelNot(
                PyccelOr(NumpyType_Check(variable, collect_var),
                         PythonType_Check(variable, collect_var)))
            error = PyErr_SetString(
                'PyExc_TypeError',
                '"{} must be {}"'.format(variable, variable.dtype))
            body += [(check, [error, Return([Nil()])])]
        body += [(LiteralTrue(), [
            self._create_collecting_value_body(variable, collect_var,
                                               tmp_variable),
            Assign(VariableAddress(variable), VariableAddress(tmp_variable))
        ])]
        body = [If(*body)]

        return body
Пример #2
0
 def _get_static_function(self, used_names, function, collect_dict):
     """
     Create arguments and functioncall for arguments rank > 0 in fortran.
     Format : a is numpy array
     func(a) ==> static_func(a.DIM , a.DATA)
     where a.DATA = buffer holding data
           a.DIM = size of array
     """
     additional_body = []
     if self._target_language == 'fortran':
         static_args = []
         for a in function.arguments:
             if isinstance(a, Variable) and a.rank > 0:
                 # Add shape arguments for static function
                 for i in range(collect_dict[a].rank):
                     var = Variable(dtype=NativeInteger(),
                                    name=self.get_new_name(
                                        used_names, a.name + "_dim"))
                     body = FunctionCall(numpy_get_dim,
                                         [collect_dict[a], i])
                     if a.is_optional:
                         body = IfTernaryOperator(
                             VariableAddress(collect_dict[a]), body,
                             LiteralInteger(0))
                     body = Assign(var, body)
                     additional_body.append(body)
                     static_args.append(var)
             static_args.append(a)
         static_function = as_static_function_call(function,
                                                   self._module_name,
                                                   name=function.name)
     else:
         static_function = function
         static_args = function.arguments
     return static_function, static_args, additional_body
Пример #3
0
    def _print_AliasAssign(self, expr):
        lhs = expr.lhs
        rhs = expr.rhs
        if isinstance(rhs, Variable):
            rhs = VariableAddress(rhs)

        lhs = self._print(lhs.name)
        rhs = self._print(rhs)
        return '{} = {};'.format(lhs, rhs)
Пример #4
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 def _print_Return(self, expr):
     code = ''
     args = [
         VariableAddress(a) if self.stored_in_c_pointer(a) else a
         for a in expr.expr
     ]
     if expr.stmt:
         code += self._print(expr.stmt) + '\n'
     if len(args) == 1:
         code += 'return {0};'.format(self._print(args[0]))
     elif len(args) > 1:
         code += 'return 0;'
     return code
Пример #5
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    def _print_FunctionCall(self, expr):
        func = expr.funcdef
        # Ensure the correct syntax is used for pointers
        args = []
        for a, f in zip(expr.arguments, func.arguments):
            if isinstance(a, Variable) and self.stored_in_c_pointer(f):
                args.append(VariableAddress(a))
            elif f.is_optional and not isinstance(a, Nil):
                tmp_var = self.create_tmp_var(f)
                assign = Assign(tmp_var, a)
                self._additional_code += self._print(assign) + '\n'
                args.append(VariableAddress(tmp_var))

            else:
                args.append(a)

        args += self._temporary_args
        self._temporary_args = []
        args = ', '.join(['{}'.format(self._print(a)) for a in args])
        if not func.results:
            return '{}({});'.format(func.name, args)
        return '{}({})'.format(func.name, args)
Пример #6
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    def _handle_is_operator(self, Op, expr):

        lhs = self._print(expr.lhs)
        rhs = self._print(expr.rhs)
        a = expr.args[0]
        b = expr.args[1]

        if Nil() in expr.args:
            lhs = VariableAddress(expr.lhs) if isinstance(
                expr.lhs, Variable) else expr.lhs
            rhs = VariableAddress(expr.rhs) if isinstance(
                expr.rhs, Variable) else expr.rhs

            lhs = self._print(lhs)
            rhs = self._print(rhs)
            return '{} {} {}'.format(lhs, Op, rhs)

        if (a.dtype is NativeBool() and b.dtype is NativeBool()):
            return '{} {} {}'.format(lhs, Op, rhs)
        else:
            errors.report(PYCCEL_RESTRICTION_IS_ISNOT,
                          symbol=expr,
                          severity='fatal')
Пример #7
0
    def _get_check_type_statement(self, variable, collect_var):

        if variable.rank > 0:
            numpy_dtype = self.find_in_numpy_dtype_registry(variable)
            check = PyccelEq(FunctionCall(numpy_get_type, [collect_var]),
                             numpy_dtype)

        else:
            python_check = PythonType_Check(variable, collect_var)
            numpy_check = NumpyType_Check(variable, collect_var)
            if variable.precision == default_precision[str_dtype(
                    variable.dtype)]:
                check = PyccelOr(python_check, numpy_check)
            else:
                check = PyccelAssociativeParenthesis(
                    PyccelAnd(PyccelNot(python_check), numpy_check))

        if isinstance(variable, ValuedVariable):
            default = PyccelNot(VariableAddress(
                collect_var)) if variable.rank > 0 else PyccelEq(
                    VariableAddress(collect_var), VariableAddress(Py_None))
            check = PyccelAssociativeParenthesis(PyccelOr(default, check))

        return check
Пример #8
0
    def _print_Assign(self, expr):
        if isinstance(expr.rhs, FunctionCall) and isinstance(
                expr.rhs.dtype, NativeTuple):
            self._temporary_args = [VariableAddress(a) for a in expr.lhs]
            return '{};'.format(self._print(expr.rhs))
        lhs = self._print(expr.lhs)
        rhs = expr.rhs
        if isinstance(rhs, (NumpyArray)):
            if rhs.rank == 0:
                raise NotImplementedError(expr.lhs + "=" + expr.rhs)
            dummy_array_name, _ = create_incremented_string(
                self._parser.used_names, prefix='array_dummy')
            dtype = self.find_in_dtype_registry(self._print(rhs.dtype),
                                                rhs.precision)
            arg = rhs.arg
            if rhs.rank > 1:
                arg = functools.reduce(operator.concat, arg)
            arg = ', '.join(self._print(i) for i in arg)
            dummy_array = "%s %s[] = {%s};\n" % (dtype, dummy_array_name, arg)
            dtype = self.find_in_ndarray_type_registry(format(rhs.dtype),
                                                       rhs.precision)
            cpy_data = "memcpy({0}.{2}, {1}, {0}.buffer_size);".format(
                lhs, dummy_array_name, dtype)
            return '%s%s\n' % (dummy_array, cpy_data)

        if isinstance(rhs, (NumpyFull)):
            code_init = ''
            if rhs.fill_value is not None:
                code_init = 'array_fill({0}, {1});'.format(
                    self._print(rhs.fill_value), lhs)
            else:
                return ''
            return '{}\n'.format(code_init)

        rhs = self._print(rhs)
        return '{} = {};'.format(lhs, rhs)
Пример #9
0
    def _print_FunctionDef(self, expr):
        # Save all used names
        used_names = set([a.name for a in expr.arguments] +
                         [r.name for r in expr.results] + [expr.name.name])

        # Find a name for the wrapper function
        wrapper_name = self._get_wrapper_name(used_names, expr)
        used_names.add(wrapper_name)
        # Collect local variables
        wrapper_vars = {a.name: a for a in expr.arguments}
        wrapper_vars.update({r.name: r for r in expr.results})
        python_func_args = self.get_new_PyObject("args", used_names)
        python_func_kwargs = self.get_new_PyObject("kwargs", used_names)
        python_func_selfarg = self.get_new_PyObject("self", used_names)

        # Collect arguments and results
        wrapper_args = [
            python_func_selfarg, python_func_args, python_func_kwargs
        ]
        wrapper_results = [self.get_new_PyObject("result", used_names)]

        if expr.is_private:
            wrapper_func = FunctionDef(
                name=wrapper_name,
                arguments=wrapper_args,
                results=wrapper_results,
                body=[
                    PyErr_SetString(
                        'PyExc_NotImplementedError',
                        '"Private functions are not accessible from python"'),
                    AliasAssign(wrapper_results[0], Nil()),
                    Return(wrapper_results)
                ])
            return CCodePrinter._print_FunctionDef(self, wrapper_func)
        if any(isinstance(arg, FunctionAddress) for arg in expr.arguments):
            wrapper_func = FunctionDef(
                name=wrapper_name,
                arguments=wrapper_args,
                results=wrapper_results,
                body=[
                    PyErr_SetString('PyExc_NotImplementedError',
                                    '"Cannot pass a function as an argument"'),
                    AliasAssign(wrapper_results[0], Nil()),
                    Return(wrapper_results)
                ])
            return CCodePrinter._print_FunctionDef(self, wrapper_func)

        # Collect argument names for PyArgParse
        arg_names = [a.name for a in expr.arguments]
        keyword_list_name = self.get_new_name(used_names, 'kwlist')
        keyword_list = PyArgKeywords(keyword_list_name, arg_names)

        wrapper_body = [keyword_list]
        wrapper_body_translations = []

        parse_args = []
        collect_vars = {}
        for arg in expr.arguments:
            collect_var, cast_func = self.get_PyArgParseType(used_names, arg)
            collect_vars[arg] = collect_var

            body, tmp_variable = self._body_management(used_names, arg,
                                                       collect_var, cast_func,
                                                       True)
            if tmp_variable:
                wrapper_vars[tmp_variable.name] = tmp_variable

            # If the variable cannot be collected from PyArgParse directly
            wrapper_vars[collect_var.name] = collect_var

            # Save cast to argument variable
            wrapper_body_translations.extend(body)

            parse_args.append(collect_var)

            # Write default values
            if isinstance(arg, ValuedVariable):
                wrapper_body.append(
                    self.get_default_assign(parse_args[-1], arg))

        # Parse arguments
        parse_node = PyArg_ParseTupleNode(python_func_args, python_func_kwargs,
                                          expr.arguments, parse_args,
                                          keyword_list)
        wrapper_body.append(If((PyccelNot(parse_node), [Return([Nil()])])))
        wrapper_body.extend(wrapper_body_translations)

        # Call function
        static_function, static_args, additional_body = self._get_static_function(
            used_names, expr, collect_vars)
        wrapper_body.extend(additional_body)
        for var in static_args:
            wrapper_vars[var.name] = var

        if len(expr.results) == 0:
            func_call = FunctionCall(static_function, static_args)
        else:
            results = expr.results if len(
                expr.results) > 1 else expr.results[0]
            func_call = Assign(results,
                               FunctionCall(static_function, static_args))

        wrapper_body.append(func_call)

        # Loop over results to carry out necessary casts and collect Py_BuildValue type string
        res_args = []
        for a in expr.results:
            collect_var, cast_func = self.get_PyBuildValue(used_names, a)
            if cast_func is not None:
                wrapper_vars[collect_var.name] = collect_var
                wrapper_body.append(AliasAssign(collect_var, cast_func))

            res_args.append(
                VariableAddress(collect_var) if collect_var.
                is_pointer else collect_var)

        # Call PyBuildNode
        wrapper_body.append(
            AliasAssign(wrapper_results[0], PyBuildValueNode(res_args)))

        # Call free function for python type
        wrapper_body += [
            FunctionCall(Py_DECREF, [i]) for i in self._to_free_PyObject_list
        ]
        self._to_free_PyObject_list.clear()
        #Return
        wrapper_body.append(Return(wrapper_results))
        # Create FunctionDef and write using classic method
        wrapper_func = FunctionDef(name=wrapper_name,
                                   arguments=wrapper_args,
                                   results=wrapper_results,
                                   body=wrapper_body,
                                   local_vars=wrapper_vars.values())
        return CCodePrinter._print_FunctionDef(self, wrapper_func)
Пример #10
0
    def _print_Interface(self, expr):

        # Collecting all functions
        funcs = expr.functions
        # Save all used names
        used_names = set(n.name for n in funcs)

        # Find a name for the wrapper function
        wrapper_name = self._get_wrapper_name(used_names, expr)
        self._global_names.add(wrapper_name)

        # Collect local variables
        python_func_args = self.get_new_PyObject("args", used_names)
        python_func_kwargs = self.get_new_PyObject("kwargs", used_names)
        python_func_selfarg = self.get_new_PyObject("self", used_names)

        # Collect wrapper arguments and results
        wrapper_args = [
            python_func_selfarg, python_func_args, python_func_kwargs
        ]
        wrapper_results = [self.get_new_PyObject("result", used_names)]

        # Collect parser arguments
        wrapper_vars = {}

        # Collect argument names for PyArgParse
        arg_names = [a.name for a in funcs[0].arguments]
        keyword_list_name = self.get_new_name(used_names, 'kwlist')
        keyword_list = PyArgKeywords(keyword_list_name, arg_names)
        wrapper_body = [keyword_list]

        wrapper_body_translations = []
        body_tmp = []

        # To store the mini function responsible of collecting value and calling interfaces functions and return the builded value
        funcs_def = []
        default_value = {
        }  # dict to collect all initialisation needed in the wrapper
        check_var = Variable(dtype=NativeInteger(),
                             name=self.get_new_name(used_names, "check"))
        wrapper_vars[check_var.name] = check_var
        types_dict = OrderedDict(
            (a, set()) for a in funcs[0].arguments
        )  #dict to collect each variable possible type and the corresponding flags
        # collect parse arg
        parse_args = [
            Variable(dtype=PyccelPyArrayObject(),
                     is_pointer=True,
                     rank=a.rank,
                     order=a.order,
                     name=self.get_new_name(used_names, a.name +
                                            "_tmp")) if a.rank > 0 else
            Variable(dtype=PyccelPyObject(),
                     name=self.get_new_name(used_names, a.name + "_tmp"),
                     is_pointer=True) for a in funcs[0].arguments
        ]
        # Managing the body of wrapper
        for func in funcs:
            mini_wrapper_func_body = []
            res_args = []
            mini_wrapper_func_vars = {a.name: a for a in func.arguments}
            flags = 0
            collect_vars = {}

            # Loop for all args in every functions and create the corresponding condition and body
            for p_arg, f_arg in zip(parse_args, func.arguments):
                collect_vars[f_arg] = p_arg
                body, tmp_variable = self._body_management(
                    used_names, f_arg, p_arg, None)
                if tmp_variable:
                    mini_wrapper_func_vars[tmp_variable.name] = tmp_variable

                # get check type function
                check = self._get_check_type_statement(f_arg, p_arg)
                # If the variable cannot be collected from PyArgParse directly
                wrapper_vars[p_arg.name] = p_arg

                # Save the body
                wrapper_body_translations.extend(body)

                # Write default values
                if isinstance(f_arg, ValuedVariable):
                    wrapper_body.append(
                        self.get_default_assign(parse_args[-1], f_arg))

                flag_value = flags_registry[(f_arg.dtype, f_arg.precision)]
                flags = (flags << 4) + flag_value  # shift by 4 to the left
                types_dict[f_arg].add(
                    (f_arg, check,
                     flag_value))  # collect variable type for each arguments
                mini_wrapper_func_body += body

            # create the corresponding function call
            static_function, static_args, additional_body = self._get_static_function(
                used_names, func, collect_vars)
            mini_wrapper_func_body.extend(additional_body)

            for var in static_args:
                mini_wrapper_func_vars[var.name] = var

            if len(func.results) == 0:
                func_call = FunctionCall(static_function, static_args)
            else:
                results = func.results if len(
                    func.results) > 1 else func.results[0]
                func_call = Assign(results,
                                   FunctionCall(static_function, static_args))

            mini_wrapper_func_body.append(func_call)

            # Loop for all res in every functions and create the corresponding body and cast
            for r in func.results:
                collect_var, cast_func = self.get_PyBuildValue(used_names, r)
                mini_wrapper_func_vars[collect_var.name] = collect_var
                if cast_func is not None:
                    mini_wrapper_func_vars[r.name] = r
                    mini_wrapper_func_body.append(
                        AliasAssign(collect_var, cast_func))
                res_args.append(
                    VariableAddress(collect_var) if collect_var.
                    is_pointer else collect_var)

            # Building PybuildValue and freeing the allocated variable after.
            mini_wrapper_func_body.append(
                AliasAssign(wrapper_results[0], PyBuildValueNode(res_args)))
            mini_wrapper_func_body += [
                FunctionCall(Py_DECREF, [i])
                for i in self._to_free_PyObject_list
            ]
            mini_wrapper_func_body.append(Return(wrapper_results))
            self._to_free_PyObject_list.clear()
            # Building Mini wrapper function
            mini_wrapper_func_name = self.get_new_name(
                used_names.union(self._global_names),
                func.name.name + '_mini_wrapper')
            self._global_names.add(mini_wrapper_func_name)

            mini_wrapper_func_def = FunctionDef(
                name=mini_wrapper_func_name,
                arguments=parse_args,
                results=wrapper_results,
                body=mini_wrapper_func_body,
                local_vars=mini_wrapper_func_vars.values())
            funcs_def.append(mini_wrapper_func_def)

            # append check condition to the functioncall
            body_tmp.append((PyccelEq(check_var, LiteralInteger(flags)), [
                AliasAssign(wrapper_results[0],
                            FunctionCall(mini_wrapper_func_def, parse_args))
            ]))

        # Errors / Types management
        # Creating check_type function
        check_func_def = self._create_wrapper_check(check_var, parse_args,
                                                    types_dict, used_names,
                                                    funcs[0].name.name)
        funcs_def.append(check_func_def)

        # Create the wrapper body with collected informations
        body_tmp = [((PyccelNot(check_var), [Return([Nil()])]))] + body_tmp
        body_tmp.append((LiteralTrue(), [
            PyErr_SetString('PyExc_TypeError',
                            '"Arguments combinations don\'t exist"'),
            Return([Nil()])
        ]))
        wrapper_body_translations = [If(*body_tmp)]

        # Parsing Arguments
        parse_node = PyArg_ParseTupleNode(python_func_args, python_func_kwargs,
                                          funcs[0].arguments, parse_args,
                                          keyword_list, True)
        wrapper_body += list(default_value.values())
        wrapper_body.append(If((PyccelNot(parse_node), [Return([Nil()])])))

        #finishing the wrapper body
        wrapper_body.append(
            Assign(check_var, FunctionCall(check_func_def, parse_args)))
        wrapper_body.extend(wrapper_body_translations)
        wrapper_body.append(Return(wrapper_results))  # Return

        # Create FunctionDef
        funcs_def.append(
            FunctionDef(name=wrapper_name,
                        arguments=wrapper_args,
                        results=wrapper_results,
                        body=wrapper_body,
                        local_vars=wrapper_vars.values()))

        sep = self._print(SeparatorComment(40))

        return sep + '\n'.join(
            CCodePrinter._print_FunctionDef(self, f) for f in funcs_def)
Пример #11
0
    def _body_array(self, variable, collect_var, check_type=False):
        """
        Responsible for collecting value and managing error and create the body
        of arguments with rank greater than 0 in format
                if (rank check == False){
                    print TypeError Wrong rank
                    return Null
                }else if(Type Check == False){
                    Print TypeError Wrong type
                    return Null
                }else if (order check == False){ #check for order for rank > 1
                    Print NotImplementedError Wrong Order
                    return Null
                }
                collect the value from PyArrayObject

        Parameters:
        ----------
        Variable : Variable
            The optional variable
        collect_var : variable
            the pyobject type variable  holder of value
        check_type : Boolean
            True if the type is needed

        Returns
        -------
        body : list
            A list of statements
        """
        body = []
        #TODO create and extern rank and order check function
        #check optional :
        if variable.is_optional:
            check = PyccelNot(VariableAddress(collect_var))
            body += [(check, [Assign(VariableAddress(variable), Nil())])]

        #rank check :
        check = PyccelNe(FunctionCall(numpy_get_ndims, [collect_var]),
                         LiteralInteger(collect_var.rank))
        error = PyErr_SetString(
            'PyExc_TypeError',
            '"{} must have rank {}"'.format(collect_var,
                                            str(collect_var.rank)))
        body += [(check, [error, Return([Nil()])])]
        if check_type:  #Type check
            numpy_dtype = self.find_in_numpy_dtype_registry(variable)
            arg_dtype = self.find_in_dtype_registry(
                self._print(variable.dtype), variable.precision)
            check = PyccelNe(FunctionCall(numpy_get_type, [collect_var]),
                             numpy_dtype)
            info_dump = PythonPrint(
                [FunctionCall(numpy_get_type, [collect_var]), numpy_dtype])
            error = PyErr_SetString(
                'PyExc_TypeError',
                '"{} must be {}"'.format(variable, arg_dtype))
            body += [(check, [info_dump, error, Return([Nil()])])]

        if collect_var.rank > 1 and self._target_language == 'fortran':  #Order check
            if collect_var.order == 'F':
                check = FunctionCall(numpy_check_flag,
                                     [collect_var, numpy_flag_f_contig])
            else:
                check = FunctionCall(numpy_check_flag,
                                     [collect_var, numpy_flag_c_contig])
                error = PyErr_SetString(
                    'PyExc_NotImplementedError',
                    '"Argument does not have the expected ordering ({})"'.
                    format(collect_var.order))
                body += [(PyccelNot(check), [error, Return([Nil()])])]
        body += [(LiteralTrue(), [
            Assign(VariableAddress(variable),
                   self.get_collect_function_call(variable, collect_var))
        ])]
        body = [If(*body)]

        return body