def _visit_Return(self, stmt):
results = self._visit(stmt.value)
if not isinstance(results, (list, PythonTuple, PythonList)):
results = [results]
expr = Return(results)
expr.set_fst(stmt)
return expr
def lambdify(expr, args):
if isinstance(args, Lambda):
new_expr = args.expr
new_expr = Return(new_expr)
new_expr.set_fst(expr)
f_arguments = args.variables
func = FunctionDef('lambda', f_arguments, [], [new_expr])
return func
code = compile(args.body[0], '', 'single')
g = {}
eval(code, g)
f_name = str(args.name)
code = g[f_name]
new_args = args.arguments
new_expr = code(*new_args)
f_arguments = list(new_expr.free_symbols)
stmts = cse(new_expr)
if isinstance(stmts[-1], (Assign, GC)):
var = stmts[-1].lhs
else:
var = create_variable(expr)
stmts[-1] = Assign(var, stmts[-1])
stmts += [Return([var])]
set_fst(stmts, args.fst)
func = FunctionDef(f_name, new_args, [], stmts, decorators=args.decorators)
return func
def _create_wrapper_check(self, check_var, parse_args, types_dict, used_names, func_name):
check_func_body = []
flags = (len(types_dict) - 1) * 4
for arg in types_dict:
var_name = ""
body = []
types = []
arg_type_check_list = list(types_dict[arg])
arg_type_check_list.sort(key= lambda x : x[0].precision)
for elem in arg_type_check_list:
var_name = elem[0].name
value = elem[2] << flags
body.append((elem[1], [AugAssign(check_var, '+' ,value)]))
types.append(elem[0])
flags -= 4
error = ' or '.join(['{} bit {}'.format(v.precision * 8 , str_dtype(v.dtype)) if not isinstance(v.dtype, NativeBool)
else str_dtype(v.dtype) for v in types])
body.append((LiteralTrue(), [PyErr_SetString('PyExc_TypeError', '"{} must be {}"'.format(var_name, error)), Return([LiteralInteger(0)])]))
check_func_body += [If(*body)]
check_func_body = [Assign(check_var, LiteralInteger(0))] + check_func_body
check_func_body.append(Return([check_var]))
# Creating check function definition
check_func_name = self.get_new_name(used_names.union(self._global_names), 'type_check')
self._global_names.add(check_func_name)
check_func_def = FunctionDef(name = check_func_name,
arguments = parse_args,
results = [check_var],
body = check_func_body,
local_vars = [])
return check_func_def
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
def _visit_LampyLambda(self, stmt):
func = stmt.func
# ...
args = [self._visit(i) for i in func.variables]
# ...
# ...
body = self._visit(func.expr)
body = MainBlock(body, accelerator=self.accelerator)
body = [body]
# ...
# # ... DEBUG
# body += [Import('omp_get_max_threads', 'pyccel.stdlib.internal.openmp')]
#
# msg = lambda x: (String('> maximum available threads = '), x)
# x = Call('omp_get_max_threads', ())
# body += [Print(msg(x))]
# # ...
# ...
results = self._visit(self.main)
if not isinstance(results, (list, tuple, Tuple)):
results = [results]
# ...
# ... scalar results
s_results = [r for r in results if r.rank == 0]
# ...
# ... vector/matrix results as inout arguments
m_results = [r for r in results if not r in s_results]
# ...
# ... return a function def where
# we append m_results to the arguments as inout
# and we return all results.
# first, we initialize arguments_inout to False for all args
inout = [False for i in args]
inout += [True for i in m_results]
args = args + m_results
# ...
# ...
if len(s_results) == 1:
body += [Return(s_results[0])]
elif len(results) > 1:
body += [Return(s_results)]
# ...
# ...
# decorators = {'types': build_types_decorator(args),
# 'external_call': []}
decorators = {'types': build_types_decorator(args), 'external': []}
tag = random_string(6)
name = 'lambda_{}'.format(tag)
# ...
return LambdaFunctionDef(name,
args,
s_results,
body,
arguments_inout=inout,
decorators=decorators,
generators=self.generators,
m_results=m_results)
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)
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)
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
def __new__(cls, func, import_lambda):
# ...
m_results = func.m_results
name = 'interface_{}'.format(func.name)
args = [i for i in func.arguments if not i in m_results]
s_results = func.results
results = list(s_results) + list(m_results)
# ...
# ...
imports = [import_lambda]
stmts = []
# ...
# ... out argument
if len(results) == 1:
outs = [Symbol('out')]
else:
outs = [Symbol('out_{}'.format(i)) for i in range(0, len(results))]
# ...
# ...
generators = func.generators
d_shapes = {}
for i in m_results:
d_shapes[i] = compute_shape(i, generators)
# ...
# ... TODO build statements
if_cond = Is(Symbol('out'), Nil())
if_body = []
# TODO add imports from numpy
if_body += [Import('zeros', 'numpy')]
if_body += [Import('float64', 'numpy')]
for i, var in enumerate(results):
if var in m_results:
shaping = d_shapes[var]
if_body += shaping.stmts
if_body += [Assign(outs[i], Zeros(shaping.var, var.dtype))]
# update statements
stmts = [If((if_cond, if_body))]
# ...
# ... add call to the python or pyccelized function
stmts += [FunctionCall(func, args + outs)]
# ...
# ... add return out
if len(outs) == 1:
stmts += [Return(outs[0])]
else:
stmts += [Return(outs)]
# ...
# ...
body = imports + stmts
# ...
# update arguments with optional
args += [Assign(Symbol('out'), Nil())]
return FunctionDef(name, args, results, body)
