class_docstr: Change the temporal resolution of time series.
  
  The resized time series is obtained by linear interpolation of the original
  time series.
  
  Parameters
  ----------
  size : int
      Length of the output series.
  
  repeats : int, optional
      The number of times a series is augmented. If greater than one, a series
      will be augmented so many times independently. This parameter can also
      be set by operator `*`. Default: 1.
  
  prob : float, optional
      The probability of a series is augmented. It must be in (0.0, 1.0]. If
      multiple output is expected, this value must be 1.0, so that all output
      have the same length. This parameter can also be set by operator `@`.
      Default: 1.0.
  
  seed : int, optional
      The random seed. Default: None.
class_docstr_tok: ["Change","the","temporal","resolution","of","time","series",".","The","resized","time","series","is","obtained","by","linear","interpolation","of","the","original","time","series",".","Parameters","--","--","--","--","--","size",":","int","Length","of","the","output","series",".","repeats",":","int",",","optional","The","number","of","times","a","series","is","augmented",".","If","greater","than","one",",","a","series","will","be","augmented","so","many","times","independently",".","This","parameter","can","also","be","set","by","operator","`","*","`",".","Default",":","1.","prob",":","float",",","optional","The","probability","of","a","series","is","augmented",".","It","must","be","in","(","0.0",",","1.0","]",".","If","multiple","output","is","expected",",","this","value","must","be","1.0",",","so","that","all","output","have","the","same","length",".","This","parameter","can","also","be","set","by","operator","`","@","`",".","Default",":","1.0.","seed",":","int",",","optional","The","random","seed",".","Default",":","None","."]
code: def _augmented_series_length(self, T: int) -> int:
      return self.size
  
file_path: tsaug/src/tsaug/_augmenter/resize.py
imports: from typing import Optional, Tuple
  import numpy
  from .base import _Augmenter, _default_seed
label_desc: Use image node_id 5 for calling the Resize obj's underlying member method code with example usage: obj._augmented_series_length(T) and returns: self