Take Numba's `np.isclose` lowering instead of defining our own.

[jpivarski]

When numba/numba#7067 gets into a production release of Numba, we can remove this:

vector/src/vector/_backends/numba_object.py

Lines 95 to 125 in e493e6f

	@numba.extending.overload(numpy.isclose) # FIXME: This needs to go into Numba!
	def isclose(a, b, rtol=1e-05, atol=1e-08, equal_nan=False):
	if isinstance(a, numba.types.Array) and isinstance(b, numba.types.Array):
	def isclose_impl(a, b, rtol=1e-05, atol=1e-08, equal_nan=False):
	a, b = numpy.broadcast_arrays(a, b)
	x = a.reshape(-1)
	y = b.astype(numpy.float64).reshape(-1)
	out = numpy.zeros(len(x), numpy.bool_)
	for i in range(len(out)):
	if numpy.isnan(x[i]) and numpy.isnan(y[i]):
	out[i] = equal_nan
	elif numpy.isinf(x[i]) and numpy.isinf(y[i]):
	out[i] = (x[i] > 0) == (y[i] > 0)
	else:
	out[i] = abs(x[i] - y[i]) <= atol + rtol * abs(y[i])
	return out.reshape(a.shape)
	else:
	def isclose_impl(a, b, rtol=1e-05, atol=1e-08, equal_nan=False):
	x = a
	y = numpy.float64(b)
	if numpy.isnan(x) and numpy.isnan(y):
	return equal_nan
	elif numpy.isinf(x) and numpy.isinf(y):
	return (x > 0) == (y > 0)
	else:
	return abs(x - y) <= atol + rtol * abs(y)
	return isclose_impl

and then make that production release of Numba our minimally supported version. (That version of Numba has to be easily accessible: in pip and conda-forge, not just the "numba" conda channel.)

Then the minor version of Vector should also be bumped, up to 0.9.0.

[jpivarski]

numba/numba#7067 has been merged! When it makes it into a stable release, this temporary implementation should be removed.