Property 'ndarray' provides a numpy.ndarray view on the object. If you
create a reference to 'ndarray', you must keep the object unchanged until
your reference is deleted, or Python may crash! Alternatively, you could
create a reference to 'ndarray' by using 'asndarray(obj)', where 'obj' is
an instance of this class.
To create an instance of Range that shares the same data with an
ndarray instance, use: 'asRange(a), where 'a' is an ndarray instance.
Similarly, to avoid a potential Python crash, you must keep the current
instance unchanged until the reference is deleted.
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__add__(...)
__add__( (Range)arg1, (object)arg2) -> Range : |
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__and__(...)
__and__( (Range)arg1, (Range)arg2) -> Range : |
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__eq__(...)
__eq__( (Range)arg1, (Range)arg2) -> bool : |
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| __getitem__(self,
*args,
**kwds) |
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| __getslice__(self,
*args,
**kwds) |
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__iand__(...)
__iand__( (Range)arg1, (Range)arg2) -> Range : |
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__init__(...)
__init__( (object)arg1) -> None : |
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| __iter__(self,
*args,
**kwds) |
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__ne__(...)
__ne__( (Range)arg1, (Range)arg2) -> bool : |
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__not__(...)
__not__( (Range)arg1) -> bool : |
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__radd__(...)
__radd__( (object)arg1, (Range)arg2) -> Range : |
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| __setitem__(self,
*args,
**kwds) |
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| __setslice__(self,
*args,
**kwds) |
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__sub__(...)
__sub__( (Range)arg1, (object)arg2) -> Range : |
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empty(...)
empty( (Range)arg1) -> bool : |
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size(...)
size( (Range)arg1) -> int : |
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Inherited from unreachable.instance:
__new__
Inherited from object:
__delattr__,
__format__,
__getattribute__,
__hash__,
__reduce_ex__,
__setattr__,
__sizeof__,
__str__,
__subclasshook__
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