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replace collections iterable by typing iterable

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This commit is contained in:
Martin Bubel 2023-12-02 15:01:01 +01:00
parent a8638f7c5b
commit ca4f2425bc
1 changed files with 4 additions and 6 deletions
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10
GPy/models/state_space_main.py
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@ -5,14 +5,12 @@
Main functionality for state-space inference.
"""
import collections # for cheking whether a variable is iterable
import types # for cheking whether a variable is a function
import numpy as np
import scipy as sp
import scipy.linalg as linalg
import warnings
from typing import Iterable
try:
from . import state_space_setup
@ -885,7 +883,7 @@ class DescreteStateSpace(object):
# P_init
if P_init is None:
P_init = np.eye(state_dim)
elif not isinstance(P_init, collections.Iterable): # scalar
elif not isinstance(P_init, Iterable): # scalar
P_init = P_init * np.eye(state_dim)
if p_kalman_filter_type not in ("regular", "svd"):
@ -1094,7 +1092,7 @@ class DescreteStateSpace(object):
# P_init
if P_init is None:
P_init = np.eye(p_state_dim)
elif not isinstance(P_init, collections.Iterable): # scalar
elif not isinstance(P_init, Iterable): # scalar
P_init = P_init * np.eye(p_state_dim)
if p_a is None:
@ -4078,7 +4076,7 @@ class ContDescrStateSpace(DescreteStateSpace):
# Dimensionality
n = F.shape[0]
if not isinstance(dt, collections.Iterable): # not iterable, scalar
if not isinstance(dt, Iterable): # not iterable, scalar
# import pdb; pdb.set_trace()
# The dynamical model
A = matrix_exponent(F * dt)