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

contrib/gunicorn.py docker_registry.wsgi:application 或者 $ sudo gunicorn --access-logfile - --error-logfile - -k gevent -b 0.0.0.0:5000 -w 4 --max-requests 100 docker_registry.wsgi:application 此时使用 curl 访问本地的 [{"description": "", "name": "library/miaxis_j2ee"}, {"description": "", "name": "library/tomcat"}, {"description": "", "name": "library/ubuntu"}, {"description": "", "name": "library/ubuntu_office"}, {"description": {"description": "", "name": "library/desktop_ubu"}, {"description": "", "name": "dockerfile/ubuntu"}, {"description": "", "name": "library/test"}]} 这里可以看到 {"description": "", "name": "library/test"} ，表明镜像已经被成功上传了。

└── src │ ├── App.vue # Listen to user and pass Qs to S │ └── main.js └── wsgi.py wey-gu/nebula-siwi The Function apiVersion: core.openfunction.io/v1alpha1 kind: Function metadata:

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 what’s in the library. CONTENTS matplotlib one. Use pandas.set_option('plotting.backend', '') where library implementing the pandas plotting API (GH14130) • pandas.offsets.BusinessHour supports multiple opening general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the

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 what’s in the library. CONTENTS matplotlib one. Use pandas.set_option('plotting.backend', '') where library implementing the pandas plotting API (GH14130) • pandas.offsets.BusinessHour supports multiple opening general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the

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 general recommendation is to use the latest version. The following table lists the lowest version per library that is currently being tested throughout the development of pandas. Optional libraries below the data, Index.data (GH20721) • Changed Timedelta.resolution() to match the behavior of the standard library datetime. timedelta.resolution, for the old behavior, use Timedelta.resolution_string() (GH26839)

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 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 The result is a pandas.Timedelta object, similar to datetime.timedelta from the standard Python library and defining a time duration. The various time concepts supported by pandas are explained in the

BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. See the Package overview for more detail about what’s in the library. CONTENTS it does provide the same interface as any extension array defined in pandas or by a third-party library. In [23]: ser = pd.Series([1, 2, 3]) In [24]: ser.array Out[24]: [1, 2, 3] (continues Cloud Storage via the gcsfs library (GH19454, GH23094) • DataFrame.to_gbq() and read_gbq() signature and documentation updated to reflect changes from the Pandas-GBQ library version 0.8.0. Adds a credentials

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 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 The result is a pandas.Timedelta object, similar to datetime.timedelta from the standard Python library and defining a time duration. The various time concepts supported by pandas are explained in the

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 objects. In pandas we call these datetime objects similar to datetime. datetime from the standard library a pandas.Timestamp. Note: As many data sets do contain datetime information in one of the columns The result is a pandas.Timedelta object, similar to datetime.timedelta from the standard Python library and defining a time duration. The different time concepts supported by pandas are explained in the