# cython.* namespace for pure mode. from __future__ import absolute_import __version__ = "3.0a0" try: from __builtin__ import basestring except ImportError: basestring = str # BEGIN shameless copy from Cython/minivect/minitypes.py class _ArrayType(object): is_array = True subtypes = ['dtype'] def __init__(self, dtype, ndim, is_c_contig=False, is_f_contig=False, inner_contig=False, broadcasting=None): self.dtype = dtype self.ndim = ndim self.is_c_contig = is_c_contig self.is_f_contig = is_f_contig self.inner_contig = inner_contig or is_c_contig or is_f_contig self.broadcasting = broadcasting def __repr__(self): axes = [":"] * self.ndim if self.is_c_contig: axes[-1] = "::1" elif self.is_f_contig: axes[0] = "::1" return "%s[%s]" % (self.dtype, ", ".join(axes)) def index_type(base_type, item): """ Support array type creation by slicing, e.g. double[:, :] specifies a 2D strided array of doubles. The syntax is the same as for Cython memoryviews. """ class InvalidTypeSpecification(Exception): pass def verify_slice(s): if s.start or s.stop or s.step not in (None, 1): raise InvalidTypeSpecification( "Only a step of 1 may be provided to indicate C or " "Fortran contiguity") if isinstance(item, tuple): step_idx = None for idx, s in enumerate(item): verify_slice(s) if s.step and (step_idx or idx not in (0, len(item) - 1)): raise InvalidTypeSpecification( "Step may only be provided once, and only in the " "first or last dimension.") if s.step == 1: step_idx = idx return _ArrayType(base_type, len(item), is_c_contig=step_idx == len(item) - 1, is_f_contig=step_idx == 0) elif isinstance(item, slice): verify_slice(item) return _ArrayType(base_type, 1, is_c_contig=bool(item.step)) else: # int[8] etc. assert int(item) == item # array size must be a plain integer array(base_type, item) # END shameless copy compiled = False _Unspecified = object() # Function decorators def _empty_decorator(x): return x def locals(**arg_types): return _empty_decorator def test_assert_path_exists(*paths): return _empty_decorator def test_fail_if_path_exists(*paths): return _empty_decorator class _EmptyDecoratorAndManager(object): def __call__(self, x): return x def __enter__(self): pass def __exit__(self, exc_type, exc_value, traceback): pass class _Optimization(object): pass cclass = ccall = cfunc = _EmptyDecoratorAndManager() returns = wraparound = boundscheck = initializedcheck = nonecheck = \ embedsignature = cdivision = cdivision_warnings = \ always_allows_keywords = profile = linetrace = infer_types = \ unraisable_tracebacks = freelist = \ lambda _: _EmptyDecoratorAndManager() exceptval = lambda _=None, check=True: _EmptyDecoratorAndManager() overflowcheck = lambda _: _EmptyDecoratorAndManager() optimization = _Optimization() overflowcheck.fold = optimization.use_switch = \ optimization.unpack_method_calls = lambda arg: _EmptyDecoratorAndManager() final = internal = type_version_tag = no_gc_clear = no_gc = _empty_decorator _cython_inline = None def inline(f, *args, **kwds): if isinstance(f, basestring): global _cython_inline if _cython_inline is None: from Cython.Build.Inline import cython_inline as _cython_inline return _cython_inline(f, *args, **kwds) else: assert len(args) == len(kwds) == 0 return f def compile(f): from Cython.Build.Inline import RuntimeCompiledFunction return RuntimeCompiledFunction(f) # Special functions def cdiv(a, b): q = a / b if q < 0: q += 1 return q def cmod(a, b): r = a % b if (a*b) < 0: r -= b return r # Emulated language constructs def cast(type, *args, **kwargs): kwargs.pop('typecheck', None) assert not kwargs if hasattr(type, '__call__'): return type(*args) else: return args[0] def sizeof(arg): return 1 def typeof(arg): return arg.__class__.__name__ # return type(arg) def address(arg): return pointer(type(arg))([arg]) def declare(type=None, value=_Unspecified, **kwds): if type not in (None, object) and hasattr(type, '__call__'): if value is not _Unspecified: return type(value) else: return type() else: return value class _nogil(object): """Support for 'with nogil' statement and @nogil decorator. """ def __call__(self, x): if callable(x): # Used as function decorator => return the function unchanged. return x # Used as conditional context manager or to create an "@nogil(True/False)" decorator => keep going. return self def __enter__(self): pass def __exit__(self, exc_class, exc, tb): return exc_class is None nogil = _nogil() gil = _nogil() del _nogil # Emulated types class CythonMetaType(type): def __getitem__(type, ix): return array(type, ix) CythonTypeObject = CythonMetaType('CythonTypeObject', (object,), {}) class CythonType(CythonTypeObject): def _pointer(self, n=1): for i in range(n): self = pointer(self) return self class PointerType(CythonType): def __init__(self, value=None): if isinstance(value, (ArrayType, PointerType)): self._items = [cast(self._basetype, a) for a in value._items] elif isinstance(value, list): self._items = [cast(self._basetype, a) for a in value] elif value is None or value == 0: self._items = [] else: raise ValueError def __getitem__(self, ix): if ix < 0: raise IndexError("negative indexing not allowed in C") return self._items[ix] def __setitem__(self, ix, value): if ix < 0: raise IndexError("negative indexing not allowed in C") self._items[ix] = cast(self._basetype, value) def __eq__(self, value): if value is None and not self._items: return True elif type(self) != type(value): return False else: return not self._items and not value._items def __repr__(self): return "%s *" % (self._basetype,) class ArrayType(PointerType): def __init__(self): self._items = [None] * self._n class StructType(CythonType): def __init__(self, cast_from=_Unspecified, **data): if cast_from is not _Unspecified: # do cast if len(data) > 0: raise ValueError('Cannot accept keyword arguments when casting.') if type(cast_from) is not type(self): raise ValueError('Cannot cast from %s'%cast_from) for key, value in cast_from.__dict__.items(): setattr(self, key, value) else: for key, value in data.items(): setattr(self, key, value) def __setattr__(self, key, value): if key in self._members: self.__dict__[key] = cast(self._members[key], value) else: raise AttributeError("Struct has no member '%s'" % key) class UnionType(CythonType): def __init__(self, cast_from=_Unspecified, **data): if cast_from is not _Unspecified: # do type cast if len(data) > 0: raise ValueError('Cannot accept keyword arguments when casting.') if isinstance(cast_from, dict): datadict = cast_from elif type(cast_from) is type(self): datadict = cast_from.__dict__ else: raise ValueError('Cannot cast from %s'%cast_from) else: datadict = data if len(datadict) > 1: raise AttributeError("Union can only store one field at a time.") for key, value in datadict.items(): setattr(self, key, value) def __setattr__(self, key, value): if key in '__dict__': CythonType.__setattr__(self, key, value) elif key in self._members: self.__dict__ = {key: cast(self._members[key], value)} else: raise AttributeError("Union has no member '%s'" % key) def pointer(basetype): class PointerInstance(PointerType): _basetype = basetype return PointerInstance def array(basetype, n): class ArrayInstance(ArrayType): _basetype = basetype _n = n return ArrayInstance def struct(**members): class StructInstance(StructType): _members = members for key in members: setattr(StructInstance, key, None) return StructInstance def union(**members): class UnionInstance(UnionType): _members = members for key in members: setattr(UnionInstance, key, None) return UnionInstance class typedef(CythonType): def __init__(self, type, name=None): self._basetype = type self.name = name def __call__(self, *arg): value = cast(self._basetype, *arg) return value def __repr__(self): return self.name or str(self._basetype) __getitem__ = index_type class _FusedType(CythonType): pass def fused_type(*args): if not args: raise TypeError("Expected at least one type as argument") # Find the numeric type with biggest rank if all types are numeric rank = -1 for type in args: if type not in (py_int, py_long, py_float, py_complex): break if type_ordering.index(type) > rank: result_type = type else: return result_type # Not a simple numeric type, return a fused type instance. The result # isn't really meant to be used, as we can't keep track of the context in # pure-mode. Casting won't do anything in this case. return _FusedType() def _specialized_from_args(signatures, args, kwargs): "Perhaps this should be implemented in a TreeFragment in Cython code" raise Exception("yet to be implemented") py_int = typedef(int, "int") try: py_long = typedef(long, "long") except NameError: # Py3 py_long = typedef(int, "long") py_float = typedef(float, "float") py_complex = typedef(complex, "double complex") # Predefined types int_types = ['char', 'short', 'Py_UNICODE', 'int', 'Py_UCS4', 'long', 'longlong', 'Py_ssize_t', 'size_t'] float_types = ['longdouble', 'double', 'float'] complex_types = ['longdoublecomplex', 'doublecomplex', 'floatcomplex', 'complex'] other_types = ['bint', 'void', 'Py_tss_t'] to_repr = { 'longlong': 'long long', 'longdouble': 'long double', 'longdoublecomplex': 'long double complex', 'doublecomplex': 'double complex', 'floatcomplex': 'float complex', }.get gs = globals() # note: cannot simply name the unicode type here as 2to3 gets in the way and replaces it by str try: import __builtin__ as builtins except ImportError: # Py3 import builtins gs['unicode'] = typedef(getattr(builtins, 'unicode', str), 'unicode') del builtins for name in int_types: reprname = to_repr(name, name) gs[name] = typedef(py_int, reprname) if name not in ('Py_UNICODE', 'Py_UCS4') and not name.endswith('size_t'): gs['u'+name] = typedef(py_int, "unsigned " + reprname) gs['s'+name] = typedef(py_int, "signed " + reprname) for name in float_types: gs[name] = typedef(py_float, to_repr(name, name)) for name in complex_types: gs[name] = typedef(py_complex, to_repr(name, name)) bint = typedef(bool, "bint") void = typedef(None, "void") Py_tss_t = typedef(None, "Py_tss_t") for t in int_types + float_types + complex_types + other_types: for i in range(1, 4): gs["%s_%s" % ('p'*i, t)] = gs[t]._pointer(i) NULL = gs['p_void'](0) # looks like 'gs' has some users out there by now... #del gs integral = floating = numeric = _FusedType() type_ordering = [py_int, py_long, py_float, py_complex] class CythonDotParallel(object): """ The cython.parallel module. """ __all__ = ['parallel', 'prange', 'threadid'] def parallel(self, num_threads=None): return nogil def prange(self, start=0, stop=None, step=1, nogil=False, schedule=None, chunksize=None, num_threads=None): if stop is None: stop = start start = 0 return range(start, stop, step) def threadid(self): return 0 # def threadsavailable(self): # return 1 import sys sys.modules['cython.parallel'] = CythonDotParallel() del sys