and distributed in its entirety without modification. Rancher Kubernetes Cryptographic Library FIPS 140-2 Non-Proprietary Security Policy Document Version 1.1 January 4, 2021 corsec.com +1 703.276.6050 FIPS 140-2 Security Policy Rancher Kubernetes Cryptographic Library Page 2 of 16 References Ref Full Specification Name Date [140] FIPS 140-2, Security Authentication Code (HMAC) 7/16/2008 FIPS 140-2 Security Policy Rancher Kubernetes Cryptographic Library Page 3 of 16 Acronyms and Definitions Term Definition AES Advanced Encryption Standard

- chunk4 1MB - chunk5 1MB - chunk6 blockGrpID:1 1MB c4:chunk4 1MB c5:chunk5 1MB c6:chunk6 1MB parity1 (c4, c5, c6) 1MB parity2 (c4, c5, c6) 1MB c1:chunk1 1MB c2:chunk2 1MB c3:chunk 3 - chunk4 1MB - chunk5 1MB - chunk6 blockGrpID:1 1MB c4:chunk4 1MB c5:chunk 5 1MB c6:chunk 6 1MB parity1 (c4, c5, c6) 1MB parity2 (c4, c5, c6) 1MB c1:chunk1 1MB c2:chunk 2 1MB c3:chunk - chunk4 1MB - chunk5 1MB - chunk6 blockGrpID:1 1MB c4:chunk4 1MB c5:chunk5 1MB c6:chunk6 1MB parity1 (c4, c5, c6) 1MB parity2 (c4, c5, c6) 1MB c1:chunk1 1MB c2:chunk2 1MB c3:chunk3

DN1 Storage Container Manager Client RocksDB RocksDB C3 C4 C5 C6 C2 C1 C1 C2 C3 C4 C5 C6 C1 C2 C3 C4 C5 C6 DN2 DN3 DN4 C2 C4 C6 C5 发送命令 & 查询结果 发送命令 汇报⼼跳 Balancer 13 Container Balancer

DN1 Storage Container Manager Client RocksDB RocksDB C3 C4 C5 C6 C2 C1 C1 C2 C3 C4 C5 C6 C1 C2 C3 C4 C5 C6 DN2 DN3 DN4 C2 C4 C6 C5 发送命令 & 查询结果 发送命令 汇报⼼跳 均衡器Ozone Balancer 主要配置项 •

2 3 5 T4 2 5 T5 1 3 5 18 2.Apriori算法 算法案例 第四次迭代：使用F3的集合，我们将创建C4。 F3 项集 支持度 {1,3,5} 2 {2,3,5} 2 C4 项集 支持度 {1,2,3,5} 1 订单编号 项目 T1 1 3 4 T2 2 3 5 T3 1 2 3 5 T4

Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly objects. In pandas we call these datetime objects similar to datetime. datetime from the standard library as pandas.Timestamp. Note: As many data sets do contain datetime information in one of the columns

Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly objects. In pandas we call these datetime objects similar to datetime.datetime from the standard library as pandas.Timestamp. Note: As many data sets do contain datetime information in one of the columns

Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming Version Notes setuptools 38.6.0 Utils for entry points of plotting backend matplotlib 2.2.3 Plotting library Jinja2 2.10 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly objects. In pandas we call these datetime objects similar to datetime.datetime from the standard library as pandas.Timestamp. Note: As many data sets do contain datetime information in one of the columns

BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the overview for more detail about whats in the library. CONTENTS support for accelerating certain types of binary numerical and boolean operations using the numexpr library and the bottleneck libraries. These libraries are especially useful when dealing with large data are passed to a ufunc, they are aligned before performing the operation. Like other parts of the library, pandas will automatically align labeled inputs as part of a ufunc with multiple inputs. For example

Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming dependency is called. Visualization Dependency Minimum Version Notes matplotlib 3.3.2 Plotting library Jinja2 2.11 Conditional formatting with DataFrame.style tabulate 0.8.7 Printing in Markdown-friendly objects. In pandas we call these datetime objects similar to datetime.datetime from the standard library as pandas.Timestamp. Note: As many data sets do contain datetime information in one of the columns