automatic import of python-monsterlab

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diff --git a/.gitignore b/.gitignore
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+/MonsterLab-1.2.7.tar.gz
diff --git a/python-monsterlab.spec b/python-monsterlab.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-MonsterLab
+Version:	1.2.7
+Release:	1
+Summary:	Monster Generator
+License:	Free for non-commercial use
+URL:		https://github.com/BrokenShell/MonsterLab
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/1c/f0/d251b7300022e5fb1941f786d473211bf0c5d8e4758629515fbc7052f89e/MonsterLab-1.2.7.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-pytz
+
+%description
+# MonsterLab
+by Robert Sharp
+
+## Monster Class
+### Optional Inputs
+It is recommended to pass all the optional arguments or none of them. For example,
+a custom type requires a custom name.
+- Name: Compound Gaussian Distribution -> String
+  - Derived from Type
+  - Multidimensional distribution of types and subtypes
+- Type: Wide Flat Distribution -> String
+  - Demonic
+  - Devilkin
+  - Dragon
+  - Undead
+  - Elemental
+  - Fey
+  - Undead
+- Level: Poisson Distribution -> Integer
+  - Range: [1..20]
+  - Most Common: [4..7] ~64%
+  - Mean: 6.001
+  - Median: 6
+- Rarity: Linear Distribution [Rank 0..Rank 5] -> String
+  - Rank 0: 30.5% Very Common
+  - Rank 1: 25.0% Common
+  - Rank 2: 19.4% Uncommon
+  - Rank 3: 13.8% Rare
+  - Rank 4: 8.3% Epic
+  - Rank 5: 2.7% Legendary
+
+### Derived Fields
+- Damage: Compound Geometric Distribution with Linear Noise -> String
+  - Derived from Level and Rarity
+- Health: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Energy: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Sanity: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Time Stamp: The Monster's Birthday -> String
+
+### Example Monster
+- Name: Revenant
+- Type: Undead
+- Level: 3
+- Rarity: Rank 0
+- Damage: 3d2+1
+- Health: 6.35
+- Energy: 5.78
+- Sanity: 6.0
+- Time Stamp: 2021-08-09 14:23:23
+
+### Code Example
+```
+$ pip install MonsterLab
+$ python3
+>>> from MonsterLab import Monster
+>>> Monster()
+Name: Imp
+Type: Demonic
+Level: 10
+Rarity: Rank 0
+Damage: 10d2+1
+Health: 20.89
+Energy: 20.55
+Sanity: 20.79
+Time Stamp: 2021-08-09 14:23:23
+```
+
+
+%package -n python3-MonsterLab
+Summary:	Monster Generator
+Provides:	python-MonsterLab
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-MonsterLab
+# MonsterLab
+by Robert Sharp
+
+## Monster Class
+### Optional Inputs
+It is recommended to pass all the optional arguments or none of them. For example,
+a custom type requires a custom name.
+- Name: Compound Gaussian Distribution -> String
+  - Derived from Type
+  - Multidimensional distribution of types and subtypes
+- Type: Wide Flat Distribution -> String
+  - Demonic
+  - Devilkin
+  - Dragon
+  - Undead
+  - Elemental
+  - Fey
+  - Undead
+- Level: Poisson Distribution -> Integer
+  - Range: [1..20]
+  - Most Common: [4..7] ~64%
+  - Mean: 6.001
+  - Median: 6
+- Rarity: Linear Distribution [Rank 0..Rank 5] -> String
+  - Rank 0: 30.5% Very Common
+  - Rank 1: 25.0% Common
+  - Rank 2: 19.4% Uncommon
+  - Rank 3: 13.8% Rare
+  - Rank 4: 8.3% Epic
+  - Rank 5: 2.7% Legendary
+
+### Derived Fields
+- Damage: Compound Geometric Distribution with Linear Noise -> String
+  - Derived from Level and Rarity
+- Health: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Energy: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Sanity: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Time Stamp: The Monster's Birthday -> String
+
+### Example Monster
+- Name: Revenant
+- Type: Undead
+- Level: 3
+- Rarity: Rank 0
+- Damage: 3d2+1
+- Health: 6.35
+- Energy: 5.78
+- Sanity: 6.0
+- Time Stamp: 2021-08-09 14:23:23
+
+### Code Example
+```
+$ pip install MonsterLab
+$ python3
+>>> from MonsterLab import Monster
+>>> Monster()
+Name: Imp
+Type: Demonic
+Level: 10
+Rarity: Rank 0
+Damage: 10d2+1
+Health: 20.89
+Energy: 20.55
+Sanity: 20.79
+Time Stamp: 2021-08-09 14:23:23
+```
+
+
+%package help
+Summary:	Development documents and examples for MonsterLab
+Provides:	python3-MonsterLab-doc
+%description help
+# MonsterLab
+by Robert Sharp
+
+## Monster Class
+### Optional Inputs
+It is recommended to pass all the optional arguments or none of them. For example,
+a custom type requires a custom name.
+- Name: Compound Gaussian Distribution -> String
+  - Derived from Type
+  - Multidimensional distribution of types and subtypes
+- Type: Wide Flat Distribution -> String
+  - Demonic
+  - Devilkin
+  - Dragon
+  - Undead
+  - Elemental
+  - Fey
+  - Undead
+- Level: Poisson Distribution -> Integer
+  - Range: [1..20]
+  - Most Common: [4..7] ~64%
+  - Mean: 6.001
+  - Median: 6
+- Rarity: Linear Distribution [Rank 0..Rank 5] -> String
+  - Rank 0: 30.5% Very Common
+  - Rank 1: 25.0% Common
+  - Rank 2: 19.4% Uncommon
+  - Rank 3: 13.8% Rare
+  - Rank 4: 8.3% Epic
+  - Rank 5: 2.7% Legendary
+
+### Derived Fields
+- Damage: Compound Geometric Distribution with Linear Noise -> String
+  - Derived from Level and Rarity
+- Health: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Energy: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Sanity: Geometric Distribution with Gaussian Noise -> Float
+  - Derived from Level and Rarity
+- Time Stamp: The Monster's Birthday -> String
+
+### Example Monster
+- Name: Revenant
+- Type: Undead
+- Level: 3
+- Rarity: Rank 0
+- Damage: 3d2+1
+- Health: 6.35
+- Energy: 5.78
+- Sanity: 6.0
+- Time Stamp: 2021-08-09 14:23:23
+
+### Code Example
+```
+$ pip install MonsterLab
+$ python3
+>>> from MonsterLab import Monster
+>>> Monster()
+Name: Imp
+Type: Demonic
+Level: 10
+Rarity: Rank 0
+Damage: 10d2+1
+Health: 20.89
+Energy: 20.55
+Sanity: 20.79
+Time Stamp: 2021-08-09 14:23:23
+```
+
+
+%prep
+%autosetup -n MonsterLab-1.2.7
+
+%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-MonsterLab -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.7-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..b8b0faa
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+854d0622c8fcc35885a5d623667de99d  MonsterLab-1.2.7.tar.gz