ai-content-maker/.venv/Lib/site-packages/Cython/Shadow.py

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2024-05-03 04:18:51 +03:00
# cython.* namespace for pure mode.
from __future__ import absolute_import
# Possible version formats: "3.1.0", "3.1.0a1", "3.1.0a1.dev0"
__version__ = "3.0.10"
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
return 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()
annotation_typing = returns = wraparound = boundscheck = initializedcheck = \
nonecheck = embedsignature = cdivision = cdivision_warnings = \
always_allow_keywords = profile = linetrace = infer_types = \
unraisable_tracebacks = freelist = auto_pickle = cpow = trashcan = \
auto_cpdef = c_api_binop_methods = \
allow_none_for_extension_args = callspec = show_performance_hints = \
cpp_locals = py2_import = iterable_coroutine = remove_unreachable = \
lambda _: _EmptyDecoratorAndManager()
# Note that fast_getattr is untested and undocumented!
fast_getattr = lambda _: _EmptyDecoratorAndManager()
exceptval = lambda _=None, check=True: _EmptyDecoratorAndManager()
overflowcheck = lambda _: _EmptyDecoratorAndManager()
optimize = _Optimization()
embedsignature.format = overflowcheck.fold = optimize.use_switch = \
optimize.unpack_method_calls = lambda arg: _EmptyDecoratorAndManager()
final = internal = type_version_tag = no_gc_clear = no_gc = total_ordering = \
ufunc = _empty_decorator
binding = lambda _: _empty_decorator
class warn:
undeclared = unreachable = maybe_uninitialized = unused = \
unused_arg = unused_result = \
lambda _: _EmptyDecoratorAndManager()
_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):
if a < 0:
a = -a
b = -b
if b < 0:
return (a + b + 1) // b
return a // b
def cmod(a, b):
r = a % b
if (a * b) < 0 and r:
r -= b
return r
# Emulated language constructs
def cast(t, *args, **kwargs):
kwargs.pop('typecheck', None)
assert not kwargs
if isinstance(t, typedef):
return t(*args)
elif isinstance(t, type): # Doesn't work with old-style classes of Python 2.x
if len(args) != 1 or not (args[0] is None or isinstance(args[0], t)):
return t(*args)
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 _is_value_type(t):
if isinstance(t, typedef):
return _is_value_type(t._basetype)
return isinstance(t, type) and issubclass(t, (StructType, UnionType, ArrayType))
def declare(t=None, value=_Unspecified, **kwds):
if value is not _Unspecified:
return cast(t, value)
elif _is_value_type(t):
return t()
else:
return None
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()
with_gil = _nogil() # Actually not a context manager, but compilation will give the right error.
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, value=None):
if value is None:
self._items = [None] * self._n
else:
super(ArrayType, self).__init__(value)
class StructType(CythonType):
def __init__(self, *posargs, **data):
if not (posargs or data):
return
if posargs and data:
raise ValueError('Cannot accept both positional and keyword arguments.')
# Allow 'cast_from' as single positional or keyword argument.
if data and len(data) == 1 and 'cast_from' in data:
cast_from = data.pop('cast_from')
elif len(posargs) == 1 and type(posargs[0]) is type(self):
cast_from, posargs = posargs[0], ()
elif posargs:
for key, arg in zip(self._members, posargs):
setattr(self, key, arg)
return
else:
for key, value in data.items():
if key not in self._members:
raise ValueError("Invalid struct attribute for %s: %s" % (
self.__class__.__name__, key))
setattr(self, key, value)
return
# do cast
if data:
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)
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 == '__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):
__getitem__ = index_type
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_hash_t',
'Py_ssize_t',
'size_t',
'ssize_t',
'ptrdiff_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', 'Py_hash_t', 'ptrdiff_t') 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:
for i in range(1, 4):
gs["%s_%s" % ('p'*i, t)] = gs[t]._pointer(i)
if 'u'+t in gs:
gs["%s_u%s" % ('p'*i, t)] = gs['u'+t]._pointer(i)
gs["%s_s%s" % ('p'*i, t)] = gs['s'+t]._pointer(i)
for t in float_types + complex_types + other_types:
for i in range(1, 4):
gs["%s_%s" % ('p'*i, t)] = gs[t]._pointer(i)
del t, 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
class CythonDotImportedFromElsewhere(object):
"""
cython.dataclasses just shadows the standard library modules of the same name
"""
def __init__(self, module):
self.__path__ = []
self.__file__ = None
self.__name__ = module
self.__package__ = module
def __getattr__(self, attr):
# we typically only expect this to be called once
from importlib import import_module
import sys
try:
mod = import_module(self.__name__)
except ImportError:
# but if they don't exist (Python is not sufficiently up-to-date) then
# you can't use them
raise AttributeError("%s: the standard library module %s is not available" %
(attr, self.__name__))
sys.modules['cython.%s' % self.__name__] = mod
return getattr(mod, attr)
class CythonCImports(object):
"""
Simplistic module mock to make cimports sort-of work in Python code.
"""
def __init__(self, module):
self.__path__ = []
self.__file__ = None
self.__name__ = module
self.__package__ = module
def __getattr__(self, item):
if item.startswith('__') and item.endswith('__'):
raise AttributeError(item)
try:
return __import__(item)
except ImportError:
import sys
ex = AttributeError(item)
if sys.version_info >= (3, 0):
ex.__cause__ = None
raise ex
import math, sys
sys.modules['cython.parallel'] = CythonDotParallel()
sys.modules['cython.cimports'] = CythonCImports('cython.cimports')
sys.modules['cython.cimports.libc'] = CythonCImports('cython.cimports.libc')
sys.modules['cython.cimports.libc.math'] = math
# In pure Python mode @cython.dataclasses.dataclass and dataclass field should just
# shadow the standard library ones (if they are available)
dataclasses = sys.modules['cython.dataclasses'] = CythonDotImportedFromElsewhere('dataclasses')
del math, sys