(Optional) T (Optional) Trry wit y with K8s h K8s Helm Helm Intr Introduction oduction Now we show how to deploy Casdoor on Kubernetes using Helm for easy and scalable management. Pr Prer erequisit Kubernetes cluster • Helm v3 installed Installation St Installation Steps eps St Step 1: Install t ep 1: Install the Casdoor Char he Casdoor Chartt Install the Casdoor chart: St Step 2: Accessing accessed at the provided service URL by your Kubernetes cluster. helm install casdoor oci://registry-1.docker.io/casbin/casdoor- helm-charts --version 1.502.0 Cust Customization and Configuration omization

com/nacos-group/nacos-docker/tree/master/example 中进行查 看。 Kubernetes 使用 Nacos-k8s 项目包含了三种类型的部署方式, 原生部署、Helm 部署、以及利用 Operator 开发的 Nacos-Operator 部署, 本文演示如何通过 Operator 方式把 Nacos 集群在 Kubernetes 部署起 来。 Operator 多功能)  支持 Helm 部署 145 > Nacos 生态 1. 下载 nacos-k8s 工程 git clone https://github.com/nacos-group/nacos-k8s.git 2. 进入 operator 目录, 直接使用 helm 方式安装 operator helm install nacos-operator ./chart/nacos-operator

func! } };CONSIDER "TEMPLATE METHOD" Recall the template method pattern (Design Patterns, Gamma/Helm/Johnson/Vlissides pp 325-330) struct Base { auto TemplateMethod() { PrimitiveOperation1(); ... }; };TEMPLATE METHOD WITH P0847 Recall the template method pattern (Design Patterns, Gamma/Helm/Johnson/Vlissides pp 325-330) Notice: this is morally equivalent to CRTP. template

. . . . . . . . . 37 9 使用图表 39 9.1 Line Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 9.2 Bar Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 9.3 Pie Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 9.4 Scatter Plot . . . . . . . . . CHAPTER 9 使用图表 9.1 Line Chart LineChart takes a list of of the data (numbers, will be the x axis), and a list of the lables: chart_labels = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] chart_data = [1.5, 2.3, 4.3

66templateCharT, std::size_t N> struct basic_fixed_string { CharT data_[N + 1] = {}; // has to be public to be a structural type using iterator = CharT*; using const_iterator = const CharT*; constexpr basic_fixed_string(CharT ch) noexcept; constexpr basic_fixed_string(const CharT (&txt)[N + 1]) noexcept; [[nodiscard]] constexpr std::size_t size() const noexcept; [[nodiscard]] constexpr const CharT* c_str() c_str() const noexcept; [[nodiscard]] constexpr const CharT& operator[](std::size_t index) const noexcept; [[nodiscard]] constexpr CharT operator[](std::size_t index) noexcept; [[nodiscard]] constexpr

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [h library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [h library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

, String splitting. 8 Performance benefits9 namespace std { template CharT, class Traits = std::char_traits<CharT>> class basic_string_view; } It is present in header There are basic_string_view& other) noexcept = default; constexpr basic_string_view(const CharT* s, size_type count); constexpr basic_string_view(const CharT* s); No move constructor, so what happens when someone uses std::move string_view sv(s); string has a conversion operator to string_view. operator std::basic_string_view<CharT, Traits>() const noexcept; 10 C++17 ConstructorsC++20 Constructors 11 template

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the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio