Module refinery.lib.types
Exports two singletons INF
and AST
.
Used by PatternExtractorBase
as the default values
for certain command line arguments.
Expand source code Browse git
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Exports two singletons `refinery.lib.types.INF` and `refinery.lib.types.AST`.
Used by `refinery.units.pattern.PatternExtractorBase` as the default values
for certain command line arguments.
"""
from typing import Union, Tuple, Type, Dict, Any, Optional, List
ByteStr = Union[bytes, bytearray, memoryview]
BufferOrStr = Union[bytes, bytearray, memoryview, str]
JSON = Optional[Union[str, int, float, bool, Type[None], Dict[str, 'JSON'], List['JSON']]]
JSONDict = Dict[str, JSON]
class Singleton(type):
"""
A metaclass that can be used to define singleton classes.
"""
def __new__(meta, name: str, bases: Tuple[Type, ...], namespace: Dict[str, Any]):
import sys
def __repr__(self):
return self.__class__.__name__
def __new__(cls):
import gc
all = (s for s in gc.get_referrers(cls) if isinstance(s, cls))
try:
singleton = next(all)
except StopIteration:
return super(type, cls).__new__(cls)
try:
next(all)
except StopIteration:
return singleton
else:
raise RuntimeError(F'More than one object of type {name} exist.')
def __getstate__(self):
return None
def __setstate__(self, _):
pass
qualname = F'__singleton_{name}'
namespace.setdefault('__repr__', __repr__)
namespace.update(
__new__=__new__,
__slots__=(),
__getstate__=__getstate__,
__setstate__=__setstate__,
__qualname__=qualname
)
cls = type.__new__(meta, name, bases, namespace)
setattr(sys.modules[cls.__module__], qualname, cls)
return cls()
class _INF(metaclass=Singleton):
def __lt__(self, other): return False
def __le__(self, other): return False
def __gt__(self, other): return True
def __ge__(self, other): return True
def __eq__(self, other): return other is INF
def __rmul__(self, other): return self
def __radd__(self, other): return self
def __mul__(self, other): return self
def __add__(self, other): return self
def __sub__(self, other): return self
def __div__(self, other): return self
def __mod__(self, other): return self
def __pow__(self, other): return self
def __iadd__(self, other): return self
def __isub__(self, other): return self
def __imul__(self, other): return self
def __imod__(self, other): return self
def __abs__(self): return None
def __repr__(self): return '∞'
def __truediv__(self, other): return self
def __floordiv__(self, other): return self
def __rrshift__(self, other): return 0
INF = _INF
"""
A crude object representing infinity, which is greater than anything it
is compared to, and only equal to itself.
"""
class _AST(metaclass=Singleton):
def __eq__(self, other): return True
def __ne__(self, other): return False
def __or__(self, other): return other
def __contains__(self, other): return True
def __repr__(self): return '*'
AST = _AST
"""
A wildcard object which is equal to everything.
"""
class bounds:
"""
Can be used to specify certain upper and lower bounds. For example, the following is `True`:
5 in bounds[3:5]
This is notably different from how a `range` object functions since the upper bound is included
in the valid range.
"""
def __class_getitem__(cls, bounds):
return cls(bounds)
def __init__(self, bounds: slice):
start, stop, step = bounds.start, bounds.stop, bounds.step
for field in (start, stop, step):
if field is not None and not isinstance(field, int):
raise TypeError(field)
self.min = start or 0
self.max = stop
self.inc = step or 1
if self.max is None:
self.max = INF
if self.max < self.min:
raise ValueError(F'The maximum {self.max} is lesser than the minimum {self.min}.')
if self.inc < 0:
raise ValueError('Negative step size not supported for range expressions.')
def __iter__(self):
k = self.min
m = self.max
i = self.inc
while k <= m:
yield k
k += i
def __contains__(self, value: int):
if value < self.min:
return False
if value > self.max:
return False
return (value - self.min) % self.inc == 0
class _NoMask(metaclass=Singleton):
def __rand__(self, other):
return other
def __and__(self, other):
return other
NoMask = _NoMask
"""
The value of `NoMask & X` and `X & NoMask` is always equal to `X`. This singleton serves as a
mock bitmask when the value `X` should not be masked at all.
"""
class RepeatedInteger(int):
"""
This class serves as a dual-purpose result for `refinery.lib.argformats.numseq` types. It
is an integer, but can be infinitely iterated.
"""
def __iter__(self): return self
def __next__(self): return self
Global variables
var INF
-
A crude object representing infinity, which is greater than anything it is compared to, and only equal to itself.
var AST
-
A wildcard object which is equal to everything.
var NoMask
-
The value of
NoMask & X
andX & NoMask
is always equal toX
. This singleton serves as a mock bitmask when the valueX
should not be masked at all.
Classes
class Singleton (*args, **kwargs)
-
A metaclass that can be used to define singleton classes.
Expand source code Browse git
class Singleton(type): """ A metaclass that can be used to define singleton classes. """ def __new__(meta, name: str, bases: Tuple[Type, ...], namespace: Dict[str, Any]): import sys def __repr__(self): return self.__class__.__name__ def __new__(cls): import gc all = (s for s in gc.get_referrers(cls) if isinstance(s, cls)) try: singleton = next(all) except StopIteration: return super(type, cls).__new__(cls) try: next(all) except StopIteration: return singleton else: raise RuntimeError(F'More than one object of type {name} exist.') def __getstate__(self): return None def __setstate__(self, _): pass qualname = F'__singleton_{name}' namespace.setdefault('__repr__', __repr__) namespace.update( __new__=__new__, __slots__=(), __getstate__=__getstate__, __setstate__=__setstate__, __qualname__=qualname ) cls = type.__new__(meta, name, bases, namespace) setattr(sys.modules[cls.__module__], qualname, cls) return cls()
Ancestors
- builtins.type
class bounds (bounds)
-
Can be used to specify certain upper and lower bounds. For example, the following is
True
:5 in bounds[3:5]
This is notably different from how a
range
object functions since the upper bound is included in the valid range.Expand source code Browse git
class bounds: """ Can be used to specify certain upper and lower bounds. For example, the following is `True`: 5 in bounds[3:5] This is notably different from how a `range` object functions since the upper bound is included in the valid range. """ def __class_getitem__(cls, bounds): return cls(bounds) def __init__(self, bounds: slice): start, stop, step = bounds.start, bounds.stop, bounds.step for field in (start, stop, step): if field is not None and not isinstance(field, int): raise TypeError(field) self.min = start or 0 self.max = stop self.inc = step or 1 if self.max is None: self.max = INF if self.max < self.min: raise ValueError(F'The maximum {self.max} is lesser than the minimum {self.min}.') if self.inc < 0: raise ValueError('Negative step size not supported for range expressions.') def __iter__(self): k = self.min m = self.max i = self.inc while k <= m: yield k k += i def __contains__(self, value: int): if value < self.min: return False if value > self.max: return False return (value - self.min) % self.inc == 0
class RepeatedInteger (...)
-
This class serves as a dual-purpose result for
numseq()
types. It is an integer, but can be infinitely iterated.Expand source code Browse git
class RepeatedInteger(int): """ This class serves as a dual-purpose result for `refinery.lib.argformats.numseq` types. It is an integer, but can be infinitely iterated. """ def __iter__(self): return self def __next__(self): return self
Ancestors
- builtins.int