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)