diff --git a/python-tiktoken.spec b/python-tiktoken.spec
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+%define anolis_release 1
+%global debug_package %{nil}
+%global pypi_name tiktoken
+%global pypi_version 0.5.2
+
+Name:           python-%{pypi_name}
+Version:        %{pypi_version}
+Release:        %{anolis_release}%{?dist}
+Summary:        tiktoken is a fast BPE tokeniser for use with OpenAI's models
+
+License:        MIT License
+
+URL:            None
+Source0:        %{pypi_source}
+
+# cargo vendor  --no-delete > .cargo/config.toml
+# tar -czf vendor.tar.gz vendor .cargo/
+Source1:        vendor.tar.gz
+
+BuildRequires:  python3-devel
+BuildRequires:  python3dist(regex) >= 2022.1.18
+BuildRequires:  python3dist(requests) >= 2.26
+BuildRequires:  python3dist(setuptools)
+BuildRequires:  python3dist(setuptools-rust)
+BuildRequires:  python3dist(hypothesis)
+BuildRequires:  pytest
+
+%description
+Tiktoken is a fast Byte Pair Encoding (BPE) tokenizer designed for use with OpenAI’s 
+language models. It provides an efficient way to convert text into tokens, which are 
+the numerical representations that AI models operate on. Tiktoken is developed to be 
+reversible and lossless, meaning it can convert tokens back into original text, and it 
+works on any text, regardless of whether it was part of the tokenizer’s training data.
+
+The tokenizer is particularly optimized for performance and is reported to be up to 3-6 
+times faster than comparable open-source tokenizers. It is designed to be used with 
+OpenAI’s models, and it can be easily integrated into code examples found in the OpenAI 
+Cookbook.
+
+%package -n     python3-%{pypi_name}
+Summary:        %{summary}
+%{?python_provide:%python_provide python3-%{pypi_name}}
+
+Recommends:     python3dist(blobfile) >= 2
+Requires:       python3dist(regex) >= 2022.1.18
+Requires:       python3dist(requests) >= 2.26
+Requires:       python3dist(hypothesis)
+%description -n python3-%{pypi_name}
+Tiktoken is a fast Byte Pair Encoding (BPE) tokenizer designed for use with OpenAI’s 
+language models. It provides an efficient way to convert text into tokens, which are 
+the numerical representations that AI models operate on. Tiktoken is developed to be 
+reversible and lossless, meaning it can convert tokens back into original text, and it 
+works on any text, regardless of whether it was part of the tokenizer’s training data.
+
+The tokenizer is particularly optimized for performance and is reported to be up to 3-6 
+times faster than comparable open-source tokenizers. It is designed to be used with 
+OpenAI’s models, and it can be easily integrated into code examples found in the OpenAI 
+Cookbook.
+
+
+%prep
+%autosetup -n %{pypi_name}-%{pypi_version}
+tar -xzf %{SOURCE1}
+# Remove bundled egg-info
+rm -rf %{pypi_name}.egg-info
+
+%build
+%py3_build
+
+%install
+%py3_install
+
+%check
+%{__python3} setup.py test
+
+%files -n python3-%{pypi_name}
+%license LICENSE
+%doc README.md
+%{python3_sitearch}/%{pypi_name}
+%{python3_sitearch}/tiktoken_ext
+%{python3_sitearch}/%{pypi_name}-%{pypi_version}-py%{python3_version}.egg-info
+
+%changelog
+* Wed Jan 10 2024 zhongling.h <zhonglingh@linux.alibaba.com> - 0.5.2-1
+- Initial package.
diff --git a/tiktoken-0.5.2.tar.gz b/tiktoken-0.5.2.tar.gz
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diff --git a/vendor.tar.gz b/vendor.tar.gz
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