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import numpy as np
def max(x, /, *, axis=None, keepdims=False):
return np.max(x, axis=axis, keepdims=keepdims)
def mean(x, /, *, axis=None, keepdims=False):
return np.mean(x, axis=axis, keepdims=keepdims)
def min(x, /, *, axis=None, keepdims=False):
return np.min(x, axis=axis, keepdims=keepdims)
def prod(x, /, *, axis=None, keepdims=False):
return np.prod(x, axis=axis, keepdims=keepdims)
def std(x, /, *, axis=None, correction=0.0, keepdims=False):
# Note: the keyword argument correction is different here
return np.std(x, axis=axis, ddof=correction, keepdims=keepdims)
def sum(x, /, *, axis=None, keepdims=False):
return np.sum(x, axis=axis, keepdims=keepdims)
def var(x, /, *, axis=None, correction=0.0, keepdims=False):
# Note: the keyword argument correction is different here
return np.var(x, axis=axis, ddof=correction, keepdims=keepdims)
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