/usr/lib/python3/dist-packages/Cython/Shadow.py is in cython3 0.25.2-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 | # cython.* namespace for pure mode.
from __future__ import absolute_import
__version__ = "0.25.2"
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 = \
overflowcheck = embedsignature = cdivision = cdivision_warnings = \
always_allows_keywords = profile = linetrace = infer_type = \
unraisable_tracebacks = freelist = \
lambda arg: _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
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
"""
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']
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(int, "void")
for t in int_types + float_types + complex_types + other_types:
for i in range(1, 4):
gs["%s_%s" % ('p'*i, t)] = globals()[t]._pointer(i)
void = typedef(None, "void")
NULL = p_void(0)
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, schedule=None, nogil=False):
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
|