Created
July 9, 2021 19:39
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def pad(array, pad_width, mode="edge", highlevel=True, behavior=None): | |
if isinstance(pad_width, int): | |
pad_width = (pad_width,) | |
if len(pad_width) == 1: | |
before = after = pad_width[0] | |
else: | |
before, after = pad_width | |
def apply(array): | |
if mode != "edge": | |
raise NotImplementedError | |
layout = ak.to_layout(array).toListOffsetArray64(True) | |
content = np.asarray(layout.content) | |
offsets = np.asarray(layout.offsets) | |
starts = offsets[:-1] | |
stops = offsets[1:] | |
widths = np.diff(offsets) | |
left = np.full_like(starts, before) | |
right = np.full_like(starts, after) | |
padding = left + right | |
repeats = np.ones(len(content), dtype=np.int_) | |
np.add.at(repeats, starts, left) | |
np.add.at(repeats, stops - 1, right) | |
new_content = np.repeat(content, repeats) | |
new_widths = widths + padding | |
new_offsets = np.zeros_like(offsets) | |
np.cumsum(new_widths, out=new_offsets[1:]) | |
inner = ak.layout.ByteMaskedArray( | |
ak.layout.Index8(np.repeat(widths > 0, new_widths)), | |
ak.layout.NumpyArray(new_content), | |
True, | |
) | |
return ak.layout.ListOffsetArray64(ak.layout.Index64(new_offsets), inner) | |
return apply_at_axis(array, apply, axis=-1, highlevel=highlevel, behavior=behavior) | |
padded = pad(n.measured, 20) |
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