automatic import of python-mlserver-mlflowopeneuler20.03

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+/mlserver-mlflow-1.3.1.tar.gz
diff --git a/python-mlserver-mlflow.spec b/python-mlserver-mlflow.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-mlserver-mlflow
+Version:	1.3.1
+Release:	1
+Summary:	MLflow runtime for MLServer
+License:	Apache 2.0
+URL:		https://github.com/SeldonIO/MLServer.git
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a1/11/33e5697087b561feb025b10cdd895ee8e2185b35b08f1b0538c9f5c7af65/mlserver-mlflow-1.3.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-mlserver
+Requires:	python3-mlflow
+
+%description
+# MLflow runtime for MLServer
+
+This package provides a MLServer runtime compatible with [MLflow
+models](https://www.mlflow.org/docs/latest/models.html).
+
+## Usage
+
+You can install the runtime, alongside `mlserver`, as:
+
+```bash
+pip install mlserver mlserver-mlflow
+```
+
+## Content Types
+
+The MLflow inference runtime introduces a new `dict` content type, which
+decodes an incoming V2 request as a [dictionary of
+tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models).
+This is useful for certain MLflow-serialised models, which will expect that the
+model inputs are serialised in this format.
+
+```{note}
+The `dict` content type can be _stacked_ with other content types, like
+[`np`](../../docs/user-guide/content-type).
+This allows the user to use a different set of content types to decode each of
+the dict entries.
+```
+
+
+
+
+%package -n python3-mlserver-mlflow
+Summary:	MLflow runtime for MLServer
+Provides:	python-mlserver-mlflow
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-mlserver-mlflow
+# MLflow runtime for MLServer
+
+This package provides a MLServer runtime compatible with [MLflow
+models](https://www.mlflow.org/docs/latest/models.html).
+
+## Usage
+
+You can install the runtime, alongside `mlserver`, as:
+
+```bash
+pip install mlserver mlserver-mlflow
+```
+
+## Content Types
+
+The MLflow inference runtime introduces a new `dict` content type, which
+decodes an incoming V2 request as a [dictionary of
+tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models).
+This is useful for certain MLflow-serialised models, which will expect that the
+model inputs are serialised in this format.
+
+```{note}
+The `dict` content type can be _stacked_ with other content types, like
+[`np`](../../docs/user-guide/content-type).
+This allows the user to use a different set of content types to decode each of
+the dict entries.
+```
+
+
+
+
+%package help
+Summary:	Development documents and examples for mlserver-mlflow
+Provides:	python3-mlserver-mlflow-doc
+%description help
+# MLflow runtime for MLServer
+
+This package provides a MLServer runtime compatible with [MLflow
+models](https://www.mlflow.org/docs/latest/models.html).
+
+## Usage
+
+You can install the runtime, alongside `mlserver`, as:
+
+```bash
+pip install mlserver mlserver-mlflow
+```
+
+## Content Types
+
+The MLflow inference runtime introduces a new `dict` content type, which
+decodes an incoming V2 request as a [dictionary of
+tensors](https://www.mlflow.org/docs/latest/models.html#deploy-mlflow-models).
+This is useful for certain MLflow-serialised models, which will expect that the
+model inputs are serialised in this format.
+
+```{note}
+The `dict` content type can be _stacked_ with other content types, like
+[`np`](../../docs/user-guide/content-type).
+This allows the user to use a different set of content types to decode each of
+the dict entries.
+```
+
+
+
+
+%prep
+%autosetup -n mlserver-mlflow-1.3.1
+
+%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-mlserver-mlflow -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..e65935d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+8924da19e2954bc9e3f4f056e04ec4c3  mlserver-mlflow-1.3.1.tar.gz