obspy.realtime.rtmemory.RtMemory
Public Methods
Create and initialize input and output arrays for this RtMemory object. |
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Update input memory using specified number of points from end of specified array. |
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Update output memory using specified number of points from end of specified array. |
Private Methods
Warning
Private methods are mainly for internal/developer use and their API might change without notice.
- RtMemory._update(memory_array, data)[source]
Update specified memory array using specified number of points from end of specified data array.
- Parameters:
memory_array (numpy.ndarray) – Memory array (input or output) in this RtMemory object to update.
data (numpy.ndarray) – Data array to use for update.
- Returns:
NumPy
ndarray
object containing updated memory array (input or output).
Special Methods
- RtMemory.__delattr__(name, /)
Implement delattr(self, name).
- RtMemory.__dir__()
Default dir() implementation.
- RtMemory.__eq__(value, /)
Return self==value.
- RtMemory.__format__(format_spec, /)
Default object formatter.
- RtMemory.__ge__(value, /)
Return self>=value.
- RtMemory.__getattribute__(name, /)
Return getattr(self, name).
- RtMemory.__gt__(value, /)
Return self>value.
- RtMemory.__hash__()
Return hash(self).
- RtMemory.__init_subclass__()
This method is called when a class is subclassed.
The default implementation does nothing. It may be overridden to extend subclasses.
- RtMemory.__le__(value, /)
Return self<=value.
- RtMemory.__lt__(value, /)
Return self<value.
- RtMemory.__ne__(value, /)
Return self!=value.
- RtMemory.__new__(**kwargs)
- RtMemory.__reduce__()
Helper for pickle.
- RtMemory.__reduce_ex__(protocol, /)
Helper for pickle.
- RtMemory.__repr__()
Return repr(self).
- RtMemory.__setattr__(name, value, /)
Implement setattr(self, name, value).
- RtMemory.__sizeof__()
Size of object in memory, in bytes.
- RtMemory.__str__()
Return str(self).
- RtMemory.__subclasshook__()
Abstract classes can override this to customize issubclass().
This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).