def gradient(f, *varargs):
'''Gradient of array
f -- array
*varargs -- 0, 1, N scalars for sample distance, or (1 or N-d) datasets for sample points
'''
if varargs is None or len(varargs) == 0:
g = _maths.gradient(f)
else:
# check for scalars, etc
from jycore import arange as _ar
vl = len(varargs)
nd = f.getRank()
if vl == 1:
varargs = [varargs[0]]*nd
vl = nd
if vl != nd:
raise ValueError, "Number of arguments must be 0, 1 or rank of f"
xlist = []
for i in range(vl):
x = varargs[i]
xlist.append(x if isinstance(x, _ads) else (_ar(f.shape[i])*x)._jdataset())
g = _maths.gradient(f, xlist)
if len(g) == 1:
return g[0]
return g
def tanh(a):
'''Hyperbolic tangent of input'''
return _maths.tanh(a)
def floor_divide(a, b):
'''Calculate largest integers smaller or equal to division'''
return _maths.floorDivide(a, b)
def divide(a, b):
'''Divide one array-like object by another'''
return _maths.divide(a, b)
def subtract(a, b):
'''Subtract one array-like object from another'''
return _maths.subtract(a, b)
def diff(a, order=1, axis=-1):
'''Difference of input'''
return _maths.difference(a, order, axis)
def negative(a):
'''Negate input'''
return _maths.negative(a)
def deg2rad(a):
'''Convert from degree to radian'''
return _maths.toRadians(a)
def exp(a):
'''Exponential of input'''
return _maths.exp(a)
def log1p(x):
'''Natural logarithm of (x+1)'''
return _maths.log1p(x)
def log10(a):
'''Logarithm of input to base 10'''
return _maths.log10(a)
def log2(a):
'''Logarithm of input to base 2'''
return _maths.log2(a)
def log(a):
'''Natural logarithm of input'''
return _maths.log(a)
def arctanh(a):
'''Inverse hyperbolic tangent of input'''
return _maths.arctanh(a)
def arccosh(a):
'''Inverse hyperbolic cosine of input'''
return _maths.arccosh(a)
def rint(a):
'''Round elements of input to nearest integers'''
return _maths.rint(a)
def rad2deg(a):
'''Convert from radian to degree'''
return _maths.toDegrees(a)
def expm1(x):
'''Exponential of (x-1)'''
return _maths.expm1(x)
def sign(a):
'''Sign of input, indicated by -1 for negative, +1 for positive and 0 for zero'''
return _maths.signum(a)
def sqrt(a):
'''Square root of input'''
return _maths.sqrt(a)
def clip(a, a_min, a_max):
'''Clip input to given bounds (replace NaNs with midpoint of bounds)'''
return _maths.clip(a, a_min, a_max)
def cbrt(a):
'''Cube root of input'''
return _maths.cbrt(a)
def add(a, b):
'''Add two array-like objects together'''
return _maths.add(a, b)
def square(a):
'''Square of input'''
return _maths.square(a)
def multiply(a, b):
'''Multiply two array-like objects together'''
return _maths.multiply(a, b)
def power(a, p):
'''Input raised to given power'''
return _maths.power(a, p)
def dividez(a, b):
'''Divide one array-like object by another with items that are zero divisors set to zero'''
return _maths.dividez(a, b)
def floor(a):
'''Largest integer smaller or equal to input'''
return _maths.floor(a)
def remainder(a, b):
'''Return remainder of division of inputs'''
return _maths.remainder(a, b)
def ceil(a):
'''Smallest integer greater or equal to input'''
return _maths.ceil(a)
