643 def lcov(x, y, keepdims=0):  argument
2029   def ageometricmean(inarray, dimension=None, keepdims=0):  argument
2052       if keepdims == 1:
2064       if keepdims == 1:
2071   def aharmonicmean(inarray, dimension=None, keepdims=0):  argument
2092       if keepdims == 1:
2108         if keepdims == 1:
2117         if keepdims == 1:
2124   def amean(inarray, dimension=None, keepdims=0):  argument
2146       if keepdims == 1:
2158       if keepdims == 1:
2737   def asamplevar(inarray, dimension=None, keepdims=0):  argument
2753       mn = amean(inarray, dimension, keepdims=1)
2761     svar = ass(deviations, dimension, keepdims) / float(n)
2764   def asamplestdev(inarray, dimension=None, keepdims=0):  argument
2774     return N.sqrt(asamplevar(inarray, dimension, keepdims))
2790   def acov(x, y, dimension=None, keepdims=0):  argument
2817   def avar(inarray, dimension=None, keepdims=0):  argument
2838     var = ass(deviations, dimension, keepdims) / float(n - 1)
2841   def astdev(inarray, dimension=None, keepdims=0):  argument
2851     return N.sqrt(avar(inarray, dimension, keepdims))
2853   def asterr(inarray, dimension=None, keepdims=0):  argument
2867                   keepdims) / float(N.sqrt(inarray.shape[dimension]))
2869   def asem(inarray, dimension=None, keepdims=0):  argument
2888     s = asamplestdev(inarray, dimension, keepdims) / N.sqrt(n - 1)
4167   def asum(a, dimension=None, keepdims=0):  argument
4186       if keepdims == 1:
4197       if keepdims == 1:
4226   def ass(inarray, dimension=None, keepdims=0):  argument
4241     return asum(inarray * inarray, dimension, keepdims)
4243   def asummult(array1, array2, dimension=None, keepdims=0):  argument
4257     return asum(array1 * array2, dimension, keepdims)
4259   def asquare_of_sums(inarray, dimension=None, keepdims=0):  argument
4273     s = asum(inarray, dimension, keepdims)
4279   def asumdiffsquared(a, b, dimension=None, keepdims=0):  argument
4293     return asum((a - b)**2, dimension, keepdims)