From 3654635cd7ee670d546143315348333faf0f00dd Mon Sep 17 00:00:00 2001 From: Fabian Joswig Date: Fri, 3 Jan 2025 19:03:00 +0100 Subject: [PATCH] [Fix] Removed unused imports --- pyerrors/misc.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/pyerrors/misc.py b/pyerrors/misc.py index 2582fc9e..8d0cbb59 100644 --- a/pyerrors/misc.py +++ b/pyerrors/misc.py @@ -8,8 +8,8 @@ import pandas as pd import pickle from .obs import Obs, CObs from .version import __version__ -from numpy import float64, int64, ndarray -from typing import List, Type, Union, TYPE_CHECKING +from numpy import ndarray +from typing import Union, TYPE_CHECKING if TYPE_CHECKING: from .correlators import Corr @@ -140,7 +140,7 @@ def pseudo_Obs(value: Union[float, int], dvalue: Union[float, int], name: str, s return res -def gen_correlated_data(means: Union[ndarray, List[float]], cov: ndarray, name: str, tau: Union[float, ndarray]=0.5, samples: int=1000) -> List[Obs]: +def gen_correlated_data(means: Union[ndarray, list[float]], cov: ndarray, name: str, tau: Union[float, ndarray]=0.5, samples: int=1000) -> list[Obs]: """ Generate observables with given covariance and autocorrelation times. Parameters @@ -182,7 +182,7 @@ def gen_correlated_data(means: Union[ndarray, List[float]], cov: ndarray, name: return [Obs([dat], [name]) for dat in corr_data.T] -def _assert_equal_properties(ol: Union[List[Obs], List[CObs], ndarray]): +def _assert_equal_properties(ol: Union[list[Obs], list[CObs], ndarray]): otype = type(ol[0]) for o in ol[1:]: if not isinstance(o, otype):