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7d8768e2e4
Limit the perspective offset to 1. There is a possibility that if a consumer of the AdjustedArrayWindow does not fetch adjustments between the end of the data window and the vantage points beyond the end of the window. Until that case has a solution, e.g. having the consumer of the AdjustedArrayWindow include the perspective offset when calculating the query for adjustments, limit the offsets to 1.
142 lines
4.6 KiB
Cython
142 lines
4.6 KiB
Cython
"""
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Template for AdjustedArray windowed iterators.
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This file is intended to be used by inserting it via a Cython include into a
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file that's defined a type symbol named `databuffer` that can be used like a
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2-D numpy array.
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See Also
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--------
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zipline.lib._floatwindow
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zipline.lib._intwindow
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zipline.lib._datewindow
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"""
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from numpy cimport ndarray
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from numpy import asanyarray
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cdef class AdjustedArrayWindow:
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"""
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An iterator representing a moving view over an AdjustedArray.
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Concrete subtypes should subclass this and provide a `data` attribute for
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specific types.
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This object stores a copy of the data from the AdjustedArray over which
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it's iterating. At each step in the iteration, it mutates its copy to
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allow us to show different data when looking back over the array.
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The arrays yielded by this iterator are always views over the underlying
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data.
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"""
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cdef:
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# ctype must be defined by the file into which this is being copied.
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readonly databuffer data
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readonly dict view_kwargs
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readonly Py_ssize_t window_length
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Py_ssize_t anchor, next_anchor, max_anchor, next_adj
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Py_ssize_t perspective_offset
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dict adjustments
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list adjustment_indices
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ndarray last_out
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def __cinit__(self,
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databuffer data not None,
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dict view_kwargs not None,
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dict adjustments not None,
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Py_ssize_t offset,
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Py_ssize_t window_length,
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Py_ssize_t perspective_offset):
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self.data = data
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self.view_kwargs = view_kwargs
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self.adjustments = adjustments
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self.adjustment_indices = sorted(adjustments, reverse=True)
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self.window_length = window_length
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self.anchor = window_length + offset
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if perspective_offset > 1:
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# Limit perspective_offset to 1.
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# To support an offset greater than 1, work must be done to
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# ensure that adjustments are retrieved for the datetimes between
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# the end of the window and the vantage point defined by the
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# perspective offset.
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raise Exception("perspective_offset should not exceed 1, value "
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"is perspective_offset={0}".format(
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perspective_offset))
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self.perspective_offset = perspective_offset
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self.next_anchor = self.anchor
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self.max_anchor = data.shape[0]
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self.next_adj = self.pop_next_adj()
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self.last_out = None
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cdef pop_next_adj(self):
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"""
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Pop the index of the next adjustment to apply from self.adjustment_indices.
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"""
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if len(self.adjustment_indices) > 0:
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return self.adjustment_indices.pop()
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else:
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return self.max_anchor + self.perspective_offset
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def __iter__(self):
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return self
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def __next__(self):
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cdef:
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object adjustment
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ndarray out
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Py_ssize_t start, anchor
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dict view_kwargs
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anchor = self.anchor = self.next_anchor
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if anchor > self.max_anchor:
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raise StopIteration()
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# Apply any adjustments that occured before our current anchor.
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# Equivalently, apply any adjustments known **on or before** the date
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# for which we're calculating a window.
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while self.next_adj < anchor + self.perspective_offset:
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for adjustment in self.adjustments[self.next_adj]:
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adjustment.mutate(self.data)
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self.next_adj = self.pop_next_adj()
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start = anchor - self.window_length
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# If our data is a custom subclass of ndarray, preserve that subclass
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# by using asanyarray instead of asarray.
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out = asanyarray(self.data[start:self.anchor])
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view_kwargs = self.view_kwargs
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if view_kwargs:
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out = out.view(**view_kwargs)
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out.setflags(write=False)
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self.next_anchor = self.anchor + 1
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self.last_out = out
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return out
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def seek(self, target_anchor):
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cdef ndarray out = None
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if target_anchor < self.anchor:
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raise Exception('Can not access data after window has passed.')
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if target_anchor == self.anchor:
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return self.last_out
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while self.anchor < target_anchor:
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out = next(self)
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self.last_out = out
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return out
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def __repr__(self):
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return "<%s: window_length=%d, anchor=%d, max_anchor=%d, dtype=%r>" % (
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type(self).__name__,
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self.window_length,
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self.anchor,
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self.max_anchor,
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self.view_kwargs.get('dtype'),
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)
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