add library/cpp/actors, ymake build to ydb oss export

1 files changed, 227 insertions, 0 deletions

diff --git a/contrib/tools/cython/Cython/Compiler/Pythran.py b/contrib/tools/cython/Cython/Compiler/Pythran.py
new file mode 100644
index 0000000000..c02704a918
--- /dev/null
+++ b/contrib/tools/cython/Cython/Compiler/Pythran.py
@@ -0,0 +1,227 @@
+# cython: language_level=3
+
+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'
+
+
+# Pythran/Numpy specific operations
+
+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_none:
+    #    return "decltype(pythonic::builtins::None)"
+    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:
+        # Make sure that integer literals always have exactly the type that the templates expect.
+        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):
+    # Generic files
+    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 placement 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)