automatic import of python-dartsopeneuler20.03

3 files changed, 10 insertions, 8 deletions

diff --git a/.gitignore b/.gitignore
index c6806cc..8b27a66 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 /darts-0.23.1.tar.gz
+/darts-0.24.0.tar.gz
diff --git a/python-darts.spec b/python-darts.spec
index 0e039ef..a619139 100644
--- a/python-darts.spec
+++ b/python-darts.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-darts
-Version:	0.23.1
+Version:	0.24.0
 Release:	1
 Summary:	A python library for easy manipulation and forecasting of time series.
 License:	Apache License 2.0
 URL:		https://unit8co.github.io/darts/
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/08/91/a560e7756161f81f92155537518c6fb8c47e762eb153330073cd588d8bca/darts-0.23.1.tar.gz
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/91/c6/e1786d323f0b68de0e42873bfc81d78208bd5cc8588f4ee16e86cc017556/darts-0.24.0.tar.gz
 BuildArch:	noarch
 
 Requires:	python3-catboost
@@ -30,6 +30,7 @@ Requires:	python3-tqdm
 Requires:	python3-xarray
 Requires:	python3-xgboost
 Requires:	python3-pytorch-lightning
+Requires:	python3-tensorboardX
 Requires:	python3-torch
 
 %description
@@ -177,7 +178,7 @@ series.plot()
 * **PyTorch Lightning Support:** All deep learning models are implemented using PyTorch Lightning,
   supporting among other things custom callbacks, GPUs/TPUs training and custom trainers.
 * **Filtering Models:** Darts offers three filtering models: `KalmanFilter`, `GaussianProcessFilter`,
-  and `MovingAverage`, which allow to filter time series, and in some cases obtain probabilistic
+  and `MovingAverageFilter`, which allow to filter time series, and in some cases obtain probabilistic
   inferences of the underlying states/values.
 * **Datasets** The `darts.datasets` submodule contains some popular time series datasets for rapid
   and reproducible experimentation.
@@ -336,7 +337,7 @@ series.plot()
 * **PyTorch Lightning Support:** All deep learning models are implemented using PyTorch Lightning,
   supporting among other things custom callbacks, GPUs/TPUs training and custom trainers.
 * **Filtering Models:** Darts offers three filtering models: `KalmanFilter`, `GaussianProcessFilter`,
-  and `MovingAverage`, which allow to filter time series, and in some cases obtain probabilistic
+  and `MovingAverageFilter`, which allow to filter time series, and in some cases obtain probabilistic
   inferences of the underlying states/values.
 * **Datasets** The `darts.datasets` submodule contains some popular time series datasets for rapid
   and reproducible experimentation.
@@ -492,7 +493,7 @@ series.plot()
 * **PyTorch Lightning Support:** All deep learning models are implemented using PyTorch Lightning,
   supporting among other things custom callbacks, GPUs/TPUs training and custom trainers.
 * **Filtering Models:** Darts offers three filtering models: `KalmanFilter`, `GaussianProcessFilter`,
-  and `MovingAverage`, which allow to filter time series, and in some cases obtain probabilistic
+  and `MovingAverageFilter`, which allow to filter time series, and in some cases obtain probabilistic
   inferences of the underlying states/values.
 * **Datasets** The `darts.datasets` submodule contains some popular time series datasets for rapid
   and reproducible experimentation.
@@ -501,7 +502,7 @@ Here's a breakdown of the forecasting models currently implemented in Darts. We
 on bringing more models and features.
 
 %prep
-%autosetup -n darts-0.23.1
+%autosetup -n darts-0.24.0
 
 %build
 %py3_build
@@ -541,5 +542,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.23.1-1
+* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.24.0-1
 - Package Spec generated
diff --git a/sources b/sources
index 78c904f..5dbe6a9 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-653072076d565ccbfc49632cf626ce1f  darts-0.23.1.tar.gz
+6404bdb6ce776a11b3232253470728e5  darts-0.24.0.tar.gz