|
|
|
|
| from __future__ import absolute_import
|
|
|
| from .PyrexTypes import CType, CTypedefType, CStructOrUnionType
|
|
|
| import cython
|
|
|
| try:
|
| import pythran
|
| pythran_is_pre_0_9 = tuple(map(int, pythran.__version__.split('.')[0:2])) < (0, 9)
|
| pythran_is_pre_0_9_6 = tuple(map(int, pythran.__version__.split('.')[0:3])) < (0, 9, 6)
|
| except ImportError:
|
| pythran = None
|
| pythran_is_pre_0_9 = True
|
| pythran_is_pre_0_9_6 = True
|
|
|
| if pythran_is_pre_0_9_6:
|
| pythran_builtins = '__builtin__'
|
| else:
|
| pythran_builtins = 'builtins'
|
|
|
|
|
|
|
|
|
| def has_np_pythran(env):
|
| if env is None:
|
| return False
|
| directives = getattr(env, 'directives', None)
|
| return (directives and directives.get('np_pythran', False))
|
|
|
| @cython.ccall
|
| def is_pythran_supported_dtype(type_):
|
| if isinstance(type_, CTypedefType):
|
| return is_pythran_supported_type(type_.typedef_base_type)
|
| return type_.is_numeric
|
|
|
|
|
| def pythran_type(Ty, ptype="ndarray"):
|
| if Ty.is_buffer:
|
| ndim,dtype = Ty.ndim, Ty.dtype
|
| if isinstance(dtype, CStructOrUnionType):
|
| ctype = dtype.cname
|
| elif isinstance(dtype, CType):
|
| ctype = dtype.sign_and_name()
|
| elif isinstance(dtype, CTypedefType):
|
| ctype = dtype.typedef_cname
|
| else:
|
| raise ValueError("unsupported type %s!" % dtype)
|
| if pythran_is_pre_0_9:
|
| return "pythonic::types::%s<%s,%d>" % (ptype,ctype, ndim)
|
| else:
|
| return "pythonic::types::%s<%s,pythonic::types::pshape<%s>>" % (ptype,ctype, ",".join(("long",)*ndim))
|
| if Ty.is_pythran_expr:
|
| return Ty.pythran_type
|
|
|
|
|
| if Ty.is_numeric:
|
| return Ty.sign_and_name()
|
| raise ValueError("unsupported pythran type %s (%s)" % (Ty, type(Ty)))
|
|
|
|
|
| @cython.cfunc
|
| def type_remove_ref(ty):
|
| return "typename std::remove_reference<%s>::type" % ty
|
|
|
|
|
| def pythran_binop_type(op, tA, tB):
|
| if op == '**':
|
| return 'decltype(pythonic::numpy::functor::power{}(std::declval<%s>(), std::declval<%s>()))' % (
|
| pythran_type(tA), pythran_type(tB))
|
| else:
|
| return "decltype(std::declval<%s>() %s std::declval<%s>())" % (
|
| pythran_type(tA), op, pythran_type(tB))
|
|
|
|
|
| def pythran_unaryop_type(op, type_):
|
| return "decltype(%sstd::declval<%s>())" % (
|
| op, pythran_type(type_))
|
|
|
|
|
| @cython.cfunc
|
| def _index_access(index_code, indices):
|
| indexing = ",".join([index_code(idx) for idx in indices])
|
| return ('[%s]' if len(indices) == 1 else '(%s)') % indexing
|
|
|
|
|
| def _index_type_code(index_with_type):
|
| idx, index_type = index_with_type
|
| if idx.is_slice:
|
| n = 2 + int(not idx.step.is_none)
|
| return "pythonic::%s::functor::slice{}(%s)" % (
|
| pythran_builtins,
|
| ",".join(["0"]*n))
|
| elif index_type.is_int:
|
| return "std::declval<%s>()" % index_type.sign_and_name()
|
| elif index_type.is_pythran_expr:
|
| return "std::declval<%s>()" % index_type.pythran_type
|
| raise ValueError("unsupported indexing type %s!" % index_type)
|
|
|
|
|
| def _index_code(idx):
|
| if idx.is_slice:
|
| values = idx.start, idx.stop, idx.step
|
| if idx.step.is_none:
|
| func = "contiguous_slice"
|
| values = values[:2]
|
| else:
|
| func = "slice"
|
| return "pythonic::types::%s(%s)" % (
|
| func, ",".join((v.pythran_result() for v in values)))
|
| elif idx.type.is_int:
|
| return to_pythran(idx)
|
| elif idx.type.is_pythran_expr:
|
| return idx.pythran_result()
|
| raise ValueError("unsupported indexing type %s" % idx.type)
|
|
|
|
|
| def pythran_indexing_type(type_, indices):
|
| return type_remove_ref("decltype(std::declval<%s>()%s)" % (
|
| pythran_type(type_),
|
| _index_access(_index_type_code, indices),
|
| ))
|
|
|
|
|
| def pythran_indexing_code(indices):
|
| return _index_access(_index_code, indices)
|
|
|
| def np_func_to_list(func):
|
| if not func.is_numpy_attribute:
|
| return []
|
| return np_func_to_list(func.obj) + [func.attribute]
|
|
|
| if pythran is None:
|
| def pythran_is_numpy_func_supported(name):
|
| return False
|
| else:
|
| def pythran_is_numpy_func_supported(func):
|
| CurF = pythran.tables.MODULES['numpy']
|
| FL = np_func_to_list(func)
|
| for F in FL:
|
| CurF = CurF.get(F, None)
|
| if CurF is None:
|
| return False
|
| return True
|
|
|
| def pythran_functor(func):
|
| func = np_func_to_list(func)
|
| submodules = "::".join(func[:-1] + ["functor"])
|
| return "pythonic::numpy::%s::%s" % (submodules, func[-1])
|
|
|
| def pythran_func_type(func, args):
|
| args = ",".join(("std::declval<%s>()" % pythran_type(a.type) for a in args))
|
| return "decltype(%s{}(%s))" % (pythran_functor(func), args)
|
|
|
|
|
| @cython.ccall
|
| def to_pythran(op, ptype=None):
|
| op_type = op.type
|
| if op_type.is_int:
|
|
|
| return op_type.cast_code(op.result())
|
| if is_type(op_type, ["is_pythran_expr", "is_numeric", "is_float", "is_complex"]):
|
| return op.result()
|
| if op.is_none:
|
| return "pythonic::%s::None" % pythran_builtins
|
| if ptype is None:
|
| ptype = pythran_type(op_type)
|
|
|
| assert op.type.is_pyobject
|
| return "from_python<%s>(%s)" % (ptype, op.py_result())
|
|
|
|
|
| @cython.cfunc
|
| def is_type(type_, types):
|
| for attr in types:
|
| if getattr(type_, attr, False):
|
| return True
|
| return False
|
|
|
|
|
| def is_pythran_supported_node_or_none(node):
|
| return node.is_none or is_pythran_supported_type(node.type)
|
|
|
|
|
| @cython.ccall
|
| def is_pythran_supported_type(type_):
|
| pythran_supported = (
|
| "is_pythran_expr", "is_int", "is_numeric", "is_float", "is_none", "is_complex")
|
| return is_type(type_, pythran_supported) or is_pythran_expr(type_)
|
|
|
|
|
| def is_pythran_supported_operation_type(type_):
|
| pythran_supported = (
|
| "is_pythran_expr", "is_int", "is_numeric", "is_float", "is_complex")
|
| return is_type(type_,pythran_supported) or is_pythran_expr(type_)
|
|
|
|
|
| @cython.ccall
|
| def is_pythran_expr(type_):
|
| return type_.is_pythran_expr
|
|
|
|
|
| def is_pythran_buffer(type_):
|
| return (type_.is_numpy_buffer and is_pythran_supported_dtype(type_.dtype) and
|
| type_.mode in ("c", "strided") and not type_.cast)
|
|
|
| def pythran_get_func_include_file(func):
|
| func = np_func_to_list(func)
|
| return "pythonic/numpy/%s.hpp" % "/".join(func)
|
|
|
| def include_pythran_generic(env):
|
|
|
| env.add_include_file("pythonic/core.hpp")
|
| env.add_include_file("pythonic/python/core.hpp")
|
| env.add_include_file("pythonic/types/bool.hpp")
|
| env.add_include_file("pythonic/types/ndarray.hpp")
|
| env.add_include_file("pythonic/numpy/power.hpp")
|
| env.add_include_file("pythonic/%s/slice.hpp" % pythran_builtins)
|
| env.add_include_file("<new>")
|
|
|
| for i in (8, 16, 32, 64):
|
| env.add_include_file("pythonic/types/uint%d.hpp" % i)
|
| env.add_include_file("pythonic/types/int%d.hpp" % i)
|
| for t in ("float", "float32", "float64", "set", "slice", "tuple", "int",
|
| "complex", "complex64", "complex128"):
|
| env.add_include_file("pythonic/types/%s.hpp" % t)
|
|
|
