automatic import of python-akiflaggeropeneuler20.03

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+/akiFlagger-1.0.10.tar.gz
diff --git a/python-akiflagger.spec b/python-akiflagger.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-akiFlagger
+Version:	1.0.10
+Release:	1
+Summary:	Flag patients with acute kidney injury as per the KDIGO guidelines.
+License:	MIT License
+URL:		https://github.com/isaranwrap/StandardizingAKI
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f1/14/151dd6fe2bc6823157d3151fdbbc09b6745f424c5214bb34f7dced58a317/akiFlagger-1.0.10.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+
+%description
+# AKIFlagger
+
+## Introduction
+
+Acute Kidney Injury (AKI) is a sudden onset of kidney failure and damage marked by an increase in the serum creatinine levels (amongst other biomarkers) of the patient. Kidney Disease Improving Global Outcomes (KDIGO) has a set of guidelines and standard definitions of AKI:
+
+* *Stage 1*: 50% increase in creatinine in < 7 days or 0.3 increase in creatinine in < 48 hours
+
+* *Stage 2*: 100% increase in (or doubling of) creatinine in < 48 hours
+
+* *Stage 3*: 200% increase in (or tripling of) creatinine in < 48 hours
+
+This package contains a flagger to determine if a patient has developed AKI based on longitudinal data of serum creatinine measurements. More information about the specific data input format can be found in the documentation under the *Getting Started* section.
+
+## Installation
+
+You can install the flagger with ``pip``. Simply type the following into command line and the 
+package should install properly.
+
+```python 
+pip install akiFlagger
+```
+
+To ensure that it is working properly, you can open a Python session and test it with.
+
+```python
+import akiFlagger
+
+print(akiFlagger.__version__)
+
+>> '1.0.0'
+```
+
+Alternatively, you can download the source and wheel files to build manually from https://pypi.org/project/akiFlagger/.
+
+
+## Getting started
+
+There is a [walk-through notebook](https://colab.research.google.com/github/isaranwrap/StandardizingAKI/blob/master/GettingStarted.ipynb) available on Github to introduce the necessary components and parameters of the flagger. The notebook can be accessed via Google Colab notebooks. The notebook has also been adapted in the [documentation](https://akiflagger.readthedocs.io/en/latest/). 
+
+## Change Log
+
+**Version 0.1.x** - Function-based implementation of flagger.
+
+**Version 0.2.x** - Switched to class-based implementation (OOP approach).
+
+**Version 0.3.x** - Switched to single-column output for AKI column.
+
+**Version 0.4.x** - Removed encounter and admission as optional columns.
+
+
+
+
+%package -n python3-akiFlagger
+Summary:	Flag patients with acute kidney injury as per the KDIGO guidelines.
+Provides:	python-akiFlagger
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-akiFlagger
+# AKIFlagger
+
+## Introduction
+
+Acute Kidney Injury (AKI) is a sudden onset of kidney failure and damage marked by an increase in the serum creatinine levels (amongst other biomarkers) of the patient. Kidney Disease Improving Global Outcomes (KDIGO) has a set of guidelines and standard definitions of AKI:
+
+* *Stage 1*: 50% increase in creatinine in < 7 days or 0.3 increase in creatinine in < 48 hours
+
+* *Stage 2*: 100% increase in (or doubling of) creatinine in < 48 hours
+
+* *Stage 3*: 200% increase in (or tripling of) creatinine in < 48 hours
+
+This package contains a flagger to determine if a patient has developed AKI based on longitudinal data of serum creatinine measurements. More information about the specific data input format can be found in the documentation under the *Getting Started* section.
+
+## Installation
+
+You can install the flagger with ``pip``. Simply type the following into command line and the 
+package should install properly.
+
+```python 
+pip install akiFlagger
+```
+
+To ensure that it is working properly, you can open a Python session and test it with.
+
+```python
+import akiFlagger
+
+print(akiFlagger.__version__)
+
+>> '1.0.0'
+```
+
+Alternatively, you can download the source and wheel files to build manually from https://pypi.org/project/akiFlagger/.
+
+
+## Getting started
+
+There is a [walk-through notebook](https://colab.research.google.com/github/isaranwrap/StandardizingAKI/blob/master/GettingStarted.ipynb) available on Github to introduce the necessary components and parameters of the flagger. The notebook can be accessed via Google Colab notebooks. The notebook has also been adapted in the [documentation](https://akiflagger.readthedocs.io/en/latest/). 
+
+## Change Log
+
+**Version 0.1.x** - Function-based implementation of flagger.
+
+**Version 0.2.x** - Switched to class-based implementation (OOP approach).
+
+**Version 0.3.x** - Switched to single-column output for AKI column.
+
+**Version 0.4.x** - Removed encounter and admission as optional columns.
+
+
+
+
+%package help
+Summary:	Development documents and examples for akiFlagger
+Provides:	python3-akiFlagger-doc
+%description help
+# AKIFlagger
+
+## Introduction
+
+Acute Kidney Injury (AKI) is a sudden onset of kidney failure and damage marked by an increase in the serum creatinine levels (amongst other biomarkers) of the patient. Kidney Disease Improving Global Outcomes (KDIGO) has a set of guidelines and standard definitions of AKI:
+
+* *Stage 1*: 50% increase in creatinine in < 7 days or 0.3 increase in creatinine in < 48 hours
+
+* *Stage 2*: 100% increase in (or doubling of) creatinine in < 48 hours
+
+* *Stage 3*: 200% increase in (or tripling of) creatinine in < 48 hours
+
+This package contains a flagger to determine if a patient has developed AKI based on longitudinal data of serum creatinine measurements. More information about the specific data input format can be found in the documentation under the *Getting Started* section.
+
+## Installation
+
+You can install the flagger with ``pip``. Simply type the following into command line and the 
+package should install properly.
+
+```python 
+pip install akiFlagger
+```
+
+To ensure that it is working properly, you can open a Python session and test it with.
+
+```python
+import akiFlagger
+
+print(akiFlagger.__version__)
+
+>> '1.0.0'
+```
+
+Alternatively, you can download the source and wheel files to build manually from https://pypi.org/project/akiFlagger/.
+
+
+## Getting started
+
+There is a [walk-through notebook](https://colab.research.google.com/github/isaranwrap/StandardizingAKI/blob/master/GettingStarted.ipynb) available on Github to introduce the necessary components and parameters of the flagger. The notebook can be accessed via Google Colab notebooks. The notebook has also been adapted in the [documentation](https://akiflagger.readthedocs.io/en/latest/). 
+
+## Change Log
+
+**Version 0.1.x** - Function-based implementation of flagger.
+
+**Version 0.2.x** - Switched to class-based implementation (OOP approach).
+
+**Version 0.3.x** - Switched to single-column output for AKI column.
+
+**Version 0.4.x** - Removed encounter and admission as optional columns.
+
+
+
+
+%prep
+%autosetup -n akiFlagger-1.0.10
+
+%build
+%py3_build
+
+%install
+%py3_install
+install -d -m755 %{buildroot}/%{_pkgdocdir}
+if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
+if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
+if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
+if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
+pushd %{buildroot}
+if [ -d usr/lib ]; then
+	find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/lib64 ]; then
+	find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/bin ]; then
+	find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+if [ -d usr/sbin ]; then
+	find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
+fi
+touch doclist.lst
+if [ -d usr/share/man ]; then
+	find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
+fi
+popd
+mv %{buildroot}/filelist.lst .
+mv %{buildroot}/doclist.lst .
+
+%files -n python3-akiFlagger -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.10-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..0d38e1d
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+++ b/sources
@@ -0,0 +1 @@
+e33e5d184e51c4af2fab4cd8d681bcdb  akiFlagger-1.0.10.tar.gz