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| author | CoprDistGit <infra@openeuler.org> | 2023-04-12 00:48:37 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-12 00:48:37 +0000 |
| commit | 5740ed66f8cb6d91c1315ee3e795111e1905cb98 (patch) | |
| tree | 4dfb1ef71b5d39d50b2e26a1ec2134ba48450a99 | |
| parent | d22446a76ea24b3878f140138016db6bf144eaa3 (diff) | |
automatic import of python-py-algorand-sdk
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-py-algorand-sdk.spec | 429 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 431 insertions, 0 deletions
@@ -0,0 +1 @@ +/py-algorand-sdk-2.1.2.tar.gz diff --git a/python-py-algorand-sdk.spec b/python-py-algorand-sdk.spec new file mode 100644 index 0000000..1fe61e5 --- /dev/null +++ b/python-py-algorand-sdk.spec @@ -0,0 +1,429 @@ +%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 + +[](https://badge.fury.io/py/py-algorand-sdk) +[](https://py-algorand-sdk.readthedocs.io/en/latest) +[](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 + +[](https://badge.fury.io/py/py-algorand-sdk) +[](https://py-algorand-sdk.readthedocs.io/en/latest) +[](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 + +[](https://badge.fury.io/py/py-algorand-sdk) +[](https://py-algorand-sdk.readthedocs.io/en/latest) +[](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 <Python_Bot@openeuler.org> - 2.1.2-1 +- Package Spec generated @@ -0,0 +1 @@ +6edfafba4e5abb7734105a9a2fa9c5eb py-algorand-sdk-2.1.2.tar.gz |
