zfit.z.unstable module

zfit.z.unstable.is_tensor(x)

zfit.z.unstable.allclose_anyaware(x, y, rtol=1e-05, atol=1e-08)

Tests if x and y are close by first testing equality (with numpy), then within the limits.

The prepended equality test allow for ANY objects to compare positively if the x and y have the shape (1, n) with n arbitrary

Parameters

• x –

• y –

• rtol –

• atol –

Returns:

zfit.z.unstable.broadcast_to(input, shape)

zfit.z.unstable.expand_dims(input, axis)

zfit.z.unstable.reduce_prod(input_tensor, axis=None, keepdims=None)

zfit.z.unstable.equal(x, y)

zfit.z.unstable.reduce_all(input_tensor, axis=None)

zfit.z.unstable.reduce_any(input_tensor, axis=None)

zfit.z.unstable.logical_and(x, y)

zfit.z.unstable.logical_or(x, y)

zfit.z.unstable.less_equal(x, y)

zfit.z.unstable.greater_equal(x, y)

zfit.z.unstable.gather(x, indices=None, axis=None)

zfit.z.unstable.concat(values, axis, name=None)