class_docstr: Class for the Numpy  backend.
code: def __init__(self):
      self.backend_string = "numpy"
  
      self.linalg = NumPyLinalg()
      self.random = NumPyRandom()
      self.testing = NumPyTesting()
  
      self.int8 = _np.int8
      self.int16 = _np.int16
      self.int32 = _np.int32
      self.int64 = _np.int64
      self.float32 = _np.float32
      self.float64 = _np.float64
      self.complex64 = _np.complex64
      self.complex128 = _np.complex128
  
      self.abs = _np.abs
      self.all = _np.all
      self.any = _np.any
      self.arange = _np.arange
      self.argmax = _np.argmax
      self.argmin = _np.argmin
      self.array = _np.array
      self.cdist = cdist
      self.ceil = _np.ceil
      self.dbl_max = _np.finfo("double").max
      self.diag = _np.diag
      self.empty = _np.empty
      self.exp = _np.exp
      self.eye = _np.eye
      self.floor = _np.floor
      self.full = _np.full
      self.hstack = _np.hstack
      self.inf = _np.inf
      self.iscomplex = _np.iscomplex
      self.isfinite = _np.isfinite
      self.isnan = _np.isnan
      self.log = _np.log
      self.max = _np.max
      self.mean = _np.mean
      self.median = _np.median
      self.min = _np.min
      self.nan = _np.nan
      self.pairwise_distances = pairwise_distances
      self.pairwise_euclidean_distances = euclidean_distances
      self.pdist = pdist
      self.reshape = _np.reshape
      self.round = _np.round
      self.shape = _np.shape
      self.sqrt = _np.sqrt
      self.sum = _np.sum
      self.tril = _np.tril
      self.tril_indices = _np.tril_indices
      self.triu = _np.triu
      self.triu_indices = _np.triu_indices
      self.vstack = _np.vstack
      self.zeros = _np.zeros
      self.zeros_like = _np.zeros_like
  
imports: import numpy
  from scipy.spatial.distance import cdist, pdist
  from sklearn.metrics.pairwise import euclidean_distances, pairwise_distances
label_desc: Use image node_id 1 to create a new NumPyBackend object from inherited base classes: object with example: obj = NumPyBackend()