%global _empty_manifest_terminate_build 0 Name: python-py-algorand-sdk Version: 2.1.2 Release: 1 Summary: Algorand SDK in Python License: MIT URL: https://github.com/algorand/py-algorand-sdk Source0: https://mirrors.nju.edu.cn/pypi/web/packages/01/4e/61dac2820eae986ec6785f20368eef8a0186072e1bbab7dffdfccd727375/py-algorand-sdk-2.1.2.tar.gz BuildArch: noarch Requires: python3-pynacl Requires: python3-pycryptodomex Requires: python3-msgpack %description # py-algorand-sdk [![PyPI version](https://badge.fury.io/py/py-algorand-sdk.svg)](https://badge.fury.io/py/py-algorand-sdk) [![Documentation Status](https://readthedocs.org/projects/py-algorand-sdk/badge/?version=latest&style=flat)](https://py-algorand-sdk.readthedocs.io/en/latest) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) A python library for interacting with the Algorand network. ## Installation Run `$ pip3 install py-algorand-sdk` to install the package. Alternatively, choose a [distribution file](https://pypi.org/project/py-algorand-sdk/#files), and run `$ pip3 install [file name]`. ## Supported Python versions py-algorand-sdk's minimum Python version policy attempts to balance several constraints. * Make it easy for the community to use py-algorand-sdk by minimizing or excluding the need to customize Python installations. * Provide maintainers with access to newer language features that produce more robust software. Given these constraints, the minimum Python version policy is: Target Python version on newest [Ubuntu LTS](https://wiki.ubuntu.com/Releases) released >= 6 months ago. The rationale is: * If a major Linux OS distribution bumps a Python version, then it's sufficiently available to the community for us to upgrade. * The 6 month time buffer ensures we delay upgrades until the community starts using a recently released LTS version. ## SDK Development Install dependencies * `pip3 install -r requirements.txt` Run tests * `make docker-test` Set up the Algorand Sandbox based test-harness without running the tests * `make harness` Format code * `black .` Update `algosdk/__init__.pyi` which allows downstream developers importing `algosdk` and using VSCode's PyLance to have improved type analysis * `make generate-init` Lint types * `make mypy` (or `mypy algosdk`) Check all lints required by the C.I. process * `make lint` Run non-test-harness related unit tests * `make pytest-unit` ## Quick start Here's a simple example you can run without a node. ```python from algosdk import account, encoding # generate an account private_key, address = account.generate_account() print("Private key:", private_key) print("Address:", address) # check if the address is valid if encoding.is_valid_address(address): print("The address is valid!") else: print("The address is invalid.") ``` ## Node setup Follow the instructions in Algorand's [developer resources](https://developer.algorand.org/docs/run-a-node/setup/install/) to install a node on your computer. You can also set up a local [Algorand Sandbox](https://github.com/algorand/sandbox) with `make harness`. ## Running examples/example.py Before running [example.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/example.py), start kmd on a private network or testnet node: ```bash ./goal kmd start -d [data directory] ``` Next, create a wallet and an account: ```bash ./goal wallet new [wallet name] -d [data directory] ``` ```bash ./goal account new -d [data directory] -w [wallet name] ``` Visit the [Algorand dispenser](https://bank.testnet.algorand.network/) and enter the account address to fund your account. Next, in [tokens.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/tokens.py), either update the tokens and addresses, or provide a path to the data directory. Alternatively, `tokens.py` also defaults to the sandbox harness configurations for algod and kmd, which can be brought up by running `make harness`. You're now ready to run example.py! ## Documentation Documentation for the Python SDK is available at [py-algorand-sdk.readthedocs.io](https://py-algorand-sdk.readthedocs.io/en/latest/). ## License py-algorand-sdk is licensed under an MIT license. See the [LICENSE](https://github.com/algorand/py-algorand-sdk/blob/master/LICENSE) file for details. %package -n python3-py-algorand-sdk Summary: Algorand SDK in Python Provides: python-py-algorand-sdk BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-py-algorand-sdk # py-algorand-sdk [![PyPI version](https://badge.fury.io/py/py-algorand-sdk.svg)](https://badge.fury.io/py/py-algorand-sdk) [![Documentation Status](https://readthedocs.org/projects/py-algorand-sdk/badge/?version=latest&style=flat)](https://py-algorand-sdk.readthedocs.io/en/latest) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) A python library for interacting with the Algorand network. ## Installation Run `$ pip3 install py-algorand-sdk` to install the package. Alternatively, choose a [distribution file](https://pypi.org/project/py-algorand-sdk/#files), and run `$ pip3 install [file name]`. ## Supported Python versions py-algorand-sdk's minimum Python version policy attempts to balance several constraints. * Make it easy for the community to use py-algorand-sdk by minimizing or excluding the need to customize Python installations. * Provide maintainers with access to newer language features that produce more robust software. Given these constraints, the minimum Python version policy is: Target Python version on newest [Ubuntu LTS](https://wiki.ubuntu.com/Releases) released >= 6 months ago. The rationale is: * If a major Linux OS distribution bumps a Python version, then it's sufficiently available to the community for us to upgrade. * The 6 month time buffer ensures we delay upgrades until the community starts using a recently released LTS version. ## SDK Development Install dependencies * `pip3 install -r requirements.txt` Run tests * `make docker-test` Set up the Algorand Sandbox based test-harness without running the tests * `make harness` Format code * `black .` Update `algosdk/__init__.pyi` which allows downstream developers importing `algosdk` and using VSCode's PyLance to have improved type analysis * `make generate-init` Lint types * `make mypy` (or `mypy algosdk`) Check all lints required by the C.I. process * `make lint` Run non-test-harness related unit tests * `make pytest-unit` ## Quick start Here's a simple example you can run without a node. ```python from algosdk import account, encoding # generate an account private_key, address = account.generate_account() print("Private key:", private_key) print("Address:", address) # check if the address is valid if encoding.is_valid_address(address): print("The address is valid!") else: print("The address is invalid.") ``` ## Node setup Follow the instructions in Algorand's [developer resources](https://developer.algorand.org/docs/run-a-node/setup/install/) to install a node on your computer. You can also set up a local [Algorand Sandbox](https://github.com/algorand/sandbox) with `make harness`. ## Running examples/example.py Before running [example.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/example.py), start kmd on a private network or testnet node: ```bash ./goal kmd start -d [data directory] ``` Next, create a wallet and an account: ```bash ./goal wallet new [wallet name] -d [data directory] ``` ```bash ./goal account new -d [data directory] -w [wallet name] ``` Visit the [Algorand dispenser](https://bank.testnet.algorand.network/) and enter the account address to fund your account. Next, in [tokens.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/tokens.py), either update the tokens and addresses, or provide a path to the data directory. Alternatively, `tokens.py` also defaults to the sandbox harness configurations for algod and kmd, which can be brought up by running `make harness`. You're now ready to run example.py! ## Documentation Documentation for the Python SDK is available at [py-algorand-sdk.readthedocs.io](https://py-algorand-sdk.readthedocs.io/en/latest/). ## License py-algorand-sdk is licensed under an MIT license. See the [LICENSE](https://github.com/algorand/py-algorand-sdk/blob/master/LICENSE) file for details. %package help Summary: Development documents and examples for py-algorand-sdk Provides: python3-py-algorand-sdk-doc %description help # py-algorand-sdk [![PyPI version](https://badge.fury.io/py/py-algorand-sdk.svg)](https://badge.fury.io/py/py-algorand-sdk) [![Documentation Status](https://readthedocs.org/projects/py-algorand-sdk/badge/?version=latest&style=flat)](https://py-algorand-sdk.readthedocs.io/en/latest) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) A python library for interacting with the Algorand network. ## Installation Run `$ pip3 install py-algorand-sdk` to install the package. Alternatively, choose a [distribution file](https://pypi.org/project/py-algorand-sdk/#files), and run `$ pip3 install [file name]`. ## Supported Python versions py-algorand-sdk's minimum Python version policy attempts to balance several constraints. * Make it easy for the community to use py-algorand-sdk by minimizing or excluding the need to customize Python installations. * Provide maintainers with access to newer language features that produce more robust software. Given these constraints, the minimum Python version policy is: Target Python version on newest [Ubuntu LTS](https://wiki.ubuntu.com/Releases) released >= 6 months ago. The rationale is: * If a major Linux OS distribution bumps a Python version, then it's sufficiently available to the community for us to upgrade. * The 6 month time buffer ensures we delay upgrades until the community starts using a recently released LTS version. ## SDK Development Install dependencies * `pip3 install -r requirements.txt` Run tests * `make docker-test` Set up the Algorand Sandbox based test-harness without running the tests * `make harness` Format code * `black .` Update `algosdk/__init__.pyi` which allows downstream developers importing `algosdk` and using VSCode's PyLance to have improved type analysis * `make generate-init` Lint types * `make mypy` (or `mypy algosdk`) Check all lints required by the C.I. process * `make lint` Run non-test-harness related unit tests * `make pytest-unit` ## Quick start Here's a simple example you can run without a node. ```python from algosdk import account, encoding # generate an account private_key, address = account.generate_account() print("Private key:", private_key) print("Address:", address) # check if the address is valid if encoding.is_valid_address(address): print("The address is valid!") else: print("The address is invalid.") ``` ## Node setup Follow the instructions in Algorand's [developer resources](https://developer.algorand.org/docs/run-a-node/setup/install/) to install a node on your computer. You can also set up a local [Algorand Sandbox](https://github.com/algorand/sandbox) with `make harness`. ## Running examples/example.py Before running [example.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/example.py), start kmd on a private network or testnet node: ```bash ./goal kmd start -d [data directory] ``` Next, create a wallet and an account: ```bash ./goal wallet new [wallet name] -d [data directory] ``` ```bash ./goal account new -d [data directory] -w [wallet name] ``` Visit the [Algorand dispenser](https://bank.testnet.algorand.network/) and enter the account address to fund your account. Next, in [tokens.py](https://github.com/algorand/py-algorand-sdk/blob/master/examples/tokens.py), either update the tokens and addresses, or provide a path to the data directory. Alternatively, `tokens.py` also defaults to the sandbox harness configurations for algod and kmd, which can be brought up by running `make harness`. You're now ready to run example.py! ## Documentation Documentation for the Python SDK is available at [py-algorand-sdk.readthedocs.io](https://py-algorand-sdk.readthedocs.io/en/latest/). ## License py-algorand-sdk is licensed under an MIT license. See the [LICENSE](https://github.com/algorand/py-algorand-sdk/blob/master/LICENSE) file for details. %prep %autosetup -n py-algorand-sdk-2.1.2 %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-py-algorand-sdk -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed Apr 12 2023 Python_Bot - 2.1.2-1 - Package Spec generated