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import numpy as np
def abs(x, /):
return np.abs(x)
def acos(x, /):
# Note: the function name is different here
return np.arccos(x)
def acosh(x, /):
# Note: the function name is different here
return np.arccosh(x)
def add(x1, x2, /):
return np.add(x1, x2)
def asin(x, /):
# Note: the function name is different here
return np.arcsin(x)
def asinh(x, /):
# Note: the function name is different here
return np.arcsinh(x)
def atan(x, /):
# Note: the function name is different here
return np.arctan(x)
def atan2(x1, x2, /):
# Note: the function name is different here
return np.arctan2(x1, x2)
def atanh(x, /):
# Note: the function name is different here
return np.arctanh(x)
def bitwise_and(x1, x2, /):
return np.bitwise_and(x1, x2)
def bitwise_left_shift(x1, x2, /):
# Note: the function name is different here
return np.left_shift(x1, x2)
def bitwise_invert(x, /):
# Note: the function name is different here
return np.invert(x)
def bitwise_or(x1, x2, /):
return np.bitwise_or(x1, x2)
def bitwise_right_shift(x1, x2, /):
# Note: the function name is different here
return np.right_shift(x1, x2)
def bitwise_xor(x1, x2, /):
return np.bitwise_xor(x1, x2)
def ceil(x, /):
return np.ceil(x)
def cos(x, /):
return np.cos(x)
def cosh(x, /):
return np.cosh(x)
def divide(x1, x2, /):
return np.divide(x1, x2)
def equal(x1, x2, /):
return np.equal(x1, x2)
def exp(x, /):
return np.exp(x)
def expm1(x, /):
return np.expm1(x)
def floor(x, /):
return np.floor(x)
def floor_divide(x1, x2, /):
return np.floor_divide(x1, x2)
def greater(x1, x2, /):
return np.greater(x1, x2)
def greater_equal(x1, x2, /):
return np.greater_equal(x1, x2)
def isfinite(x, /):
return np.isfinite(x)
def isinf(x, /):
return np.isinf(x)
def isnan(x, /):
return np.isnan(x)
def less(x1, x2, /):
return np.less(x1, x2)
def less_equal(x1, x2, /):
return np.less_equal(x1, x2)
def log(x, /):
return np.log(x)
def log1p(x, /):
return np.log1p(x)
def log2(x, /):
return np.log2(x)
def log10(x, /):
return np.log10(x)
def logical_and(x1, x2, /):
return np.logical_and(x1, x2)
def logical_not(x, /):
return np.logical_not(x)
def logical_or(x1, x2, /):
return np.logical_or(x1, x2)
def logical_xor(x1, x2, /):
return np.logical_xor(x1, x2)
def multiply(x1, x2, /):
return np.multiply(x1, x2)
def negative(x, /):
return np.negative(x)
def not_equal(x1, x2, /):
return np.not_equal(x1, x2)
def positive(x, /):
return np.positive(x)
def pow(x1, x2, /):
# Note: the function name is different here
return np.power(x1, x2)
def remainder(x1, x2, /):
return np.remainder(x1, x2)
def round(x, /):
return np.round(x)
def sign(x, /):
return np.sign(x)
def sin(x, /):
return np.sin(x)
def sinh(x, /):
return np.sinh(x)
def square(x, /):
return np.square(x)
def sqrt(x, /):
return np.sqrt(x)
def subtract(x1, x2, /):
return np.subtract(x1, x2)
def tan(x, /):
return np.tan(x)
def tanh(x, /):
return np.tanh(x)
def trunc(x, /):
return np.trunc(x)
|
