%global _empty_manifest_terminate_build 0 Name: python-ai-harness Version: 0.4.32 Release: 1 Summary: A harness project for ML & DL License: MIT URL: https://github.com/aicanhelp/ai-harness Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c7/b4/698e1df82623a256760e29a9ec1aa2e8ddb2b8546338747d454780fe2fb0/ai-harness-0.4.32.tar.gz BuildArch: noarch Requires: python3-pyyaml Requires: python3-check-manifest Requires: python3-coverage Requires: python3-pytest %description # AI Harness ## Introduction This project would like to supply some convenient tools for the machine learning and deep learning. Current features: - XMLConfiguration: for loading a configuration defined in xml files into a Python Object - Arguments: Mapping a Python Object to the arguments of argparse - inspector: Some convenient method for class/object - executors: Some convenient ProcessExecutor - fileutils: DirectoryNavigator, FileReadPipeLine - others: ## Log - 2019.4.18, version: 0.3.0: Added distributed training tools for python - 2019.4.23, version: 0.3.5: Added a Json file Reader - 2019.4.24, version: 0.3.6: Added a data utils for processing data - 2019.4.26, version: 0.3.7 Added a data utils for processing data for zip file - 2019.4.28, version: 0.3.8 Added QueueExecutor ## Examples ### 1. XMLConfiguration ##### (1) Define the configuration in xml file like: ```xml ``` you can define multiple xml configuration files, and if the name is same, the value of the later will cover the previous. #### (3) Define the configuration class like: ``` from aiharness.configuration import configclass,field @configclass class Address: phone: int = field(139, "phone help") home: str = field("beijing", "phone help") @configclass class Education: school: str = field('ustb', "phone help") grade: str = field("master", "phone help") @configclass class Config: name: str = field("test", "name help") age: str = field(10, "age help") address: Address = Address() education: Education = Education() ``` #### (3) Load the xml configuration into python object as folling: ``` from aiharness.configuration import XmlConfiguration config:Config=XmlConfiguration(Config).load(['configuration1.xml','configuration2.xml']) ``` ### Arguments Example Generally, we use argparse as following: ``` import argparse parser = argparse.ArgumentParser() parser.add_argument("--name",default='TEST',help='name help') parser.add_argument("--age",default=18,help='age help') arguments=parser.parse_args() ``` And you can got a arguments object. Here give an example showing how to load a xml configuration and set to argparse arguments and to parse the arguments into a object you defined. And here the Config Class and 'configuration.xml' are same with those of the Configuration example. Firstly, in fact, the Config Class instead of the codes of 'add_argument' of the argparse.ArgumentParser. Secondly, you can put the configuration into a xml file so that you can change it conveniently. ``` from aiharness.configuration import Arguments, XmlConfiguration config: Config = XmlConfiguration(Config).load(['configuration.xml']) arguments = Arguments(config) config: Config = arguments.parse() ``` %package -n python3-ai-harness Summary: A harness project for ML & DL Provides: python-ai-harness BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-ai-harness # AI Harness ## Introduction This project would like to supply some convenient tools for the machine learning and deep learning. Current features: - XMLConfiguration: for loading a configuration defined in xml files into a Python Object - Arguments: Mapping a Python Object to the arguments of argparse - inspector: Some convenient method for class/object - executors: Some convenient ProcessExecutor - fileutils: DirectoryNavigator, FileReadPipeLine - others: ## Log - 2019.4.18, version: 0.3.0: Added distributed training tools for python - 2019.4.23, version: 0.3.5: Added a Json file Reader - 2019.4.24, version: 0.3.6: Added a data utils for processing data - 2019.4.26, version: 0.3.7 Added a data utils for processing data for zip file - 2019.4.28, version: 0.3.8 Added QueueExecutor ## Examples ### 1. XMLConfiguration ##### (1) Define the configuration in xml file like: ```xml ``` you can define multiple xml configuration files, and if the name is same, the value of the later will cover the previous. #### (3) Define the configuration class like: ``` from aiharness.configuration import configclass,field @configclass class Address: phone: int = field(139, "phone help") home: str = field("beijing", "phone help") @configclass class Education: school: str = field('ustb', "phone help") grade: str = field("master", "phone help") @configclass class Config: name: str = field("test", "name help") age: str = field(10, "age help") address: Address = Address() education: Education = Education() ``` #### (3) Load the xml configuration into python object as folling: ``` from aiharness.configuration import XmlConfiguration config:Config=XmlConfiguration(Config).load(['configuration1.xml','configuration2.xml']) ``` ### Arguments Example Generally, we use argparse as following: ``` import argparse parser = argparse.ArgumentParser() parser.add_argument("--name",default='TEST',help='name help') parser.add_argument("--age",default=18,help='age help') arguments=parser.parse_args() ``` And you can got a arguments object. Here give an example showing how to load a xml configuration and set to argparse arguments and to parse the arguments into a object you defined. And here the Config Class and 'configuration.xml' are same with those of the Configuration example. Firstly, in fact, the Config Class instead of the codes of 'add_argument' of the argparse.ArgumentParser. Secondly, you can put the configuration into a xml file so that you can change it conveniently. ``` from aiharness.configuration import Arguments, XmlConfiguration config: Config = XmlConfiguration(Config).load(['configuration.xml']) arguments = Arguments(config) config: Config = arguments.parse() ``` %package help Summary: Development documents and examples for ai-harness Provides: python3-ai-harness-doc %description help # AI Harness ## Introduction This project would like to supply some convenient tools for the machine learning and deep learning. Current features: - XMLConfiguration: for loading a configuration defined in xml files into a Python Object - Arguments: Mapping a Python Object to the arguments of argparse - inspector: Some convenient method for class/object - executors: Some convenient ProcessExecutor - fileutils: DirectoryNavigator, FileReadPipeLine - others: ## Log - 2019.4.18, version: 0.3.0: Added distributed training tools for python - 2019.4.23, version: 0.3.5: Added a Json file Reader - 2019.4.24, version: 0.3.6: Added a data utils for processing data - 2019.4.26, version: 0.3.7 Added a data utils for processing data for zip file - 2019.4.28, version: 0.3.8 Added QueueExecutor ## Examples ### 1. XMLConfiguration ##### (1) Define the configuration in xml file like: ```xml ``` you can define multiple xml configuration files, and if the name is same, the value of the later will cover the previous. #### (3) Define the configuration class like: ``` from aiharness.configuration import configclass,field @configclass class Address: phone: int = field(139, "phone help") home: str = field("beijing", "phone help") @configclass class Education: school: str = field('ustb', "phone help") grade: str = field("master", "phone help") @configclass class Config: name: str = field("test", "name help") age: str = field(10, "age help") address: Address = Address() education: Education = Education() ``` #### (3) Load the xml configuration into python object as folling: ``` from aiharness.configuration import XmlConfiguration config:Config=XmlConfiguration(Config).load(['configuration1.xml','configuration2.xml']) ``` ### Arguments Example Generally, we use argparse as following: ``` import argparse parser = argparse.ArgumentParser() parser.add_argument("--name",default='TEST',help='name help') parser.add_argument("--age",default=18,help='age help') arguments=parser.parse_args() ``` And you can got a arguments object. Here give an example showing how to load a xml configuration and set to argparse arguments and to parse the arguments into a object you defined. And here the Config Class and 'configuration.xml' are same with those of the Configuration example. Firstly, in fact, the Config Class instead of the codes of 'add_argument' of the argparse.ArgumentParser. Secondly, you can put the configuration into a xml file so that you can change it conveniently. ``` from aiharness.configuration import Arguments, XmlConfiguration config: Config = XmlConfiguration(Config).load(['configuration.xml']) arguments = Arguments(config) config: Config = arguments.parse() ``` %prep %autosetup -n ai-harness-0.4.32 %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-ai-harness -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.4.32-1 - Package Spec generated