From d5b77a593e23be7382f9580fc608ddbb079f1795 Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Sat, 25 Feb 2023 05:02:42 +0000 Subject: automatic import of python3-nptyping --- .gitignore | 1 + python-nptyping.spec | 568 +++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 570 insertions(+) create mode 100644 python-nptyping.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..e34f8ce 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/nptyping-2.5.0.tar.gz diff --git a/python-nptyping.spec b/python-nptyping.spec new file mode 100644 index 0000000..6da9fe2 --- /dev/null +++ b/python-nptyping.spec @@ -0,0 +1,568 @@ +%global _empty_manifest_terminate_build 0 +Name: python-nptyping +Version: 2.5.0 +Release: 1 +Summary: Type hints for NumPy. +License: MIT +URL: https://github.com/ramonhagenaars/nptyping +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e1/b7/ffe533358c32506b1708feec0fb04ba0a35a959a94163fff5333671909da/nptyping-2.5.0.tar.gz +BuildArch: noarch + +Requires: python3-typing-extensions +Requires: python3-numpy +Requires: python3-numpy +Requires: python3-invoke +Requires: python3-pip-tools +Requires: python3-pandas +Requires: python3-pandas-stubs-fork +Requires: python3-invoke +Requires: python3-pip-tools +Requires: python3-autoflake +Requires: python3-black +Requires: python3-coverage +Requires: python3-codecov +Requires: python3-feedparser +Requires: python3-isort +Requires: python3-mypy +Requires: python3-pylint +Requires: python3-pyright +Requires: python3-setuptools +Requires: python3-typeguard +Requires: python3-wheel +Requires: python3-pandas +Requires: python3-beartype +Requires: python3-beartype +Requires: python3-pandas-stubs-fork +Requires: python3-pandas +Requires: python3-pandas-stubs-fork +Requires: python3-autoflake +Requires: python3-black +Requires: python3-coverage +Requires: python3-codecov +Requires: python3-feedparser +Requires: python3-isort +Requires: python3-mypy +Requires: python3-pylint +Requires: python3-pyright +Requires: python3-setuptools +Requires: python3-typeguard +Requires: python3-wheel +Requires: python3-beartype +Requires: python3-beartype + +%description +[![PyPI version](https://img.shields.io/pypi/pyversions/nptyping.svg)](https://img.shields.io/pypi/pyversions/nptyping.svg) +[![Downloads](https://pepy.tech/badge/nptyping/month)](https://pepy.tech/project/nptyping) +[![PyPI version](https://badge.fury.io/py/nptyping.svg)](https://badge.fury.io/py/nptyping) +[![codecov](https://codecov.io/gh/ramonhagenaars/nptyping/branch/master/graph/badge.svg)](https://codecov.io/gh/ramonhagenaars/nptyping) +[![Code style](https://img.shields.io/badge/code%20style-black-black)](https://img.shields.io/badge/code%20style-black-black) + + +

+ + + +

+ +🧊 *Type hints for `NumPy`*
+🐼 *Type hints for `pandas.DataFrame`*
+💡 *Extensive dynamic type checks for dtypes shapes and structures*
+🚀 *[Jump to the Quickstart](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md#Quickstart)* + +Example of a hinted `numpy.ndarray`: + +```python +>>> from nptyping import NDArray, Int, Shape + +>>> arr: NDArray[Shape["2, 2"], Int] + +``` + +Example of a hinted `pandas.DataFrame`: + +```python +>>> from nptyping import DataFrame, Structure as S + +>>> df: DataFrame[S["name: Str, x: Float, y: Float"]] + +``` + +### Installation + +| Command | Description | +|:---------------------------------|-------------------------------| +| `pip install nptyping` | Install the basics | +| `pip install nptyping[pandas]` | Install with pandas extension | +| `pip install nptyping[complete]` | Install with all extensions | + +### Instance checking + +Example of instance checking: +```python +>>> import numpy as np + +>>> isinstance(np.array([[1, 2], [3, 4]]), NDArray[Shape["2, 2"], Int]) +True + +>>> isinstance(np.array([[1., 2.], [3., 4.]]), NDArray[Shape["2, 2"], Int]) +False + +>>> isinstance(np.array([1, 2, 3, 4]), NDArray[Shape["2, 2"], Int]) +False + +``` + +`nptyping` also provides `assert_isinstance`. In contrast to `assert isinstance(...)`, this won't cause IDEs or MyPy +complaints. Here is an example: +```python +>>> from nptyping import assert_isinstance + +>>> assert_isinstance(np.array([1]), NDArray[Shape["1"], Int]) +True + +``` + +### NumPy Structured arrays + +You can also express structured arrays using `nptyping.Structure`: +```python +>>> from nptyping import Structure + +>>> Structure["name: Str, age: Int"] +Structure['age: Int, name: Str'] + +``` + +Here is an example to see it in action: +```python +>>> from typing import Any +>>> import numpy as np +>>> from nptyping import NDArray, Structure + +>>> arr = np.array([("Peter", 34)], dtype=[("name", "U10"), ("age", "i4")]) +>>> isinstance(arr, NDArray[Any, Structure["name: Str, age: Int"]]) +True + +``` + +Subarrays can be expressed with a shape expression between square brackets: +```python +>>> Structure["name: Int[3, 3]"] +Structure['name: Int[3, 3]'] + +``` + +### NumPy Record arrays +The recarray is a specialization of a structured array. You can use `RecArray` +to express them. + +```python +>>> from nptyping import RecArray + +>>> arr = np.array([("Peter", 34)], dtype=[("name", "U10"), ("age", "i4")]) +>>> rec_arr = arr.view(np.recarray) +>>> isinstance(rec_arr, RecArray[Any, Structure["name: Str, age: Int"]]) +True + +``` + +### Pandas DataFrames +Pandas DataFrames can be expressed with `Structure` also. To make it more concise, you may want to alias `Structure`. +```python +>>> from nptyping import DataFrame, Structure as S + +>>> df: DataFrame[S["x: Float, y: Float"]] + +``` + +### More examples + +Here is an example of a rich expression that can be done with `nptyping`: +```python +def plan_route( + locations: NDArray[Shape["[from, to], [x, y]"], Float] +) -> NDArray[Shape["* stops, [x, y]"], Float]: + ... + +``` + +More examples can be found in the [documentation](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md#Examples). + +## Documentation + +* [User documentation](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md)
+The place to go if you are using this library.

+ +* [Release notes](https://github.com/ramonhagenaars/nptyping/blob/master/HISTORY.md)
+To see what's new, check out the release notes.

+ +* [Contributing](https://github.com/ramonhagenaars/nptyping/blob/master/CONTRIBUTING.md)
+If you're interested in developing along, find the guidelines here.

+ +* [License](https://github.com/ramonhagenaars/nptyping/blob/master/LICENSE)
+If you want to check out how open source this library is. + + + + +%package -n python3-nptyping +Summary: Type hints for NumPy. +Provides: python-nptyping +BuildRequires: python3-devel +BuildRequires: python3-setuptools +%description -n python3-nptyping +[![PyPI version](https://img.shields.io/pypi/pyversions/nptyping.svg)](https://img.shields.io/pypi/pyversions/nptyping.svg) +[![Downloads](https://pepy.tech/badge/nptyping/month)](https://pepy.tech/project/nptyping) +[![PyPI version](https://badge.fury.io/py/nptyping.svg)](https://badge.fury.io/py/nptyping) +[![codecov](https://codecov.io/gh/ramonhagenaars/nptyping/branch/master/graph/badge.svg)](https://codecov.io/gh/ramonhagenaars/nptyping) +[![Code style](https://img.shields.io/badge/code%20style-black-black)](https://img.shields.io/badge/code%20style-black-black) + + +

+ + + +

+ +🧊 *Type hints for `NumPy`*
+🐼 *Type hints for `pandas.DataFrame`*
+💡 *Extensive dynamic type checks for dtypes shapes and structures*
+🚀 *[Jump to the Quickstart](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md#Quickstart)* + +Example of a hinted `numpy.ndarray`: + +```python +>>> from nptyping import NDArray, Int, Shape + +>>> arr: NDArray[Shape["2, 2"], Int] + +``` + +Example of a hinted `pandas.DataFrame`: + +```python +>>> from nptyping import DataFrame, Structure as S + +>>> df: DataFrame[S["name: Str, x: Float, y: Float"]] + +``` + +### Installation + +| Command | Description | +|:---------------------------------|-------------------------------| +| `pip install nptyping` | Install the basics | +| `pip install nptyping[pandas]` | Install with pandas extension | +| `pip install nptyping[complete]` | Install with all extensions | + +### Instance checking + +Example of instance checking: +```python +>>> import numpy as np + +>>> isinstance(np.array([[1, 2], [3, 4]]), NDArray[Shape["2, 2"], Int]) +True + +>>> isinstance(np.array([[1., 2.], [3., 4.]]), NDArray[Shape["2, 2"], Int]) +False + +>>> isinstance(np.array([1, 2, 3, 4]), NDArray[Shape["2, 2"], Int]) +False + +``` + +`nptyping` also provides `assert_isinstance`. In contrast to `assert isinstance(...)`, this won't cause IDEs or MyPy +complaints. Here is an example: +```python +>>> from nptyping import assert_isinstance + +>>> assert_isinstance(np.array([1]), NDArray[Shape["1"], Int]) +True + +``` + +### NumPy Structured arrays + +You can also express structured arrays using `nptyping.Structure`: +```python +>>> from nptyping import Structure + +>>> Structure["name: Str, age: Int"] +Structure['age: Int, name: Str'] + +``` + +Here is an example to see it in action: +```python +>>> from typing import Any +>>> import numpy as np +>>> from nptyping import NDArray, Structure + +>>> arr = np.array([("Peter", 34)], dtype=[("name", "U10"), ("age", "i4")]) +>>> isinstance(arr, NDArray[Any, Structure["name: Str, age: Int"]]) +True + +``` + +Subarrays can be expressed with a shape expression between square brackets: +```python +>>> Structure["name: Int[3, 3]"] +Structure['name: Int[3, 3]'] + +``` + +### NumPy Record arrays +The recarray is a specialization of a structured array. You can use `RecArray` +to express them. + +```python +>>> from nptyping import RecArray + +>>> arr = np.array([("Peter", 34)], dtype=[("name", "U10"), ("age", "i4")]) +>>> rec_arr = arr.view(np.recarray) +>>> isinstance(rec_arr, RecArray[Any, Structure["name: Str, age: Int"]]) +True + +``` + +### Pandas DataFrames +Pandas DataFrames can be expressed with `Structure` also. To make it more concise, you may want to alias `Structure`. +```python +>>> from nptyping import DataFrame, Structure as S + +>>> df: DataFrame[S["x: Float, y: Float"]] + +``` + +### More examples + +Here is an example of a rich expression that can be done with `nptyping`: +```python +def plan_route( + locations: NDArray[Shape["[from, to], [x, y]"], Float] +) -> NDArray[Shape["* stops, [x, y]"], Float]: + ... + +``` + +More examples can be found in the [documentation](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md#Examples). + +## Documentation + +* [User documentation](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md)
+The place to go if you are using this library.

+ +* [Release notes](https://github.com/ramonhagenaars/nptyping/blob/master/HISTORY.md)
+To see what's new, check out the release notes.

+ +* [Contributing](https://github.com/ramonhagenaars/nptyping/blob/master/CONTRIBUTING.md)
+If you're interested in developing along, find the guidelines here.

+ +* [License](https://github.com/ramonhagenaars/nptyping/blob/master/LICENSE)
+If you want to check out how open source this library is. + + + + +%package help +Summary: Development documents and examples for nptyping +Provides: python3-nptyping-doc +%description help +[![PyPI version](https://img.shields.io/pypi/pyversions/nptyping.svg)](https://img.shields.io/pypi/pyversions/nptyping.svg) +[![Downloads](https://pepy.tech/badge/nptyping/month)](https://pepy.tech/project/nptyping) +[![PyPI version](https://badge.fury.io/py/nptyping.svg)](https://badge.fury.io/py/nptyping) +[![codecov](https://codecov.io/gh/ramonhagenaars/nptyping/branch/master/graph/badge.svg)](https://codecov.io/gh/ramonhagenaars/nptyping) +[![Code style](https://img.shields.io/badge/code%20style-black-black)](https://img.shields.io/badge/code%20style-black-black) + + +

+ + + +

+ +🧊 *Type hints for `NumPy`*
+🐼 *Type hints for `pandas.DataFrame`*
+💡 *Extensive dynamic type checks for dtypes shapes and structures*
+🚀 *[Jump to the Quickstart](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md#Quickstart)* + +Example of a hinted `numpy.ndarray`: + +```python +>>> from nptyping import NDArray, Int, Shape + +>>> arr: NDArray[Shape["2, 2"], Int] + +``` + +Example of a hinted `pandas.DataFrame`: + +```python +>>> from nptyping import DataFrame, Structure as S + +>>> df: DataFrame[S["name: Str, x: Float, y: Float"]] + +``` + +### Installation + +| Command | Description | +|:---------------------------------|-------------------------------| +| `pip install nptyping` | Install the basics | +| `pip install nptyping[pandas]` | Install with pandas extension | +| `pip install nptyping[complete]` | Install with all extensions | + +### Instance checking + +Example of instance checking: +```python +>>> import numpy as np + +>>> isinstance(np.array([[1, 2], [3, 4]]), NDArray[Shape["2, 2"], Int]) +True + +>>> isinstance(np.array([[1., 2.], [3., 4.]]), NDArray[Shape["2, 2"], Int]) +False + +>>> isinstance(np.array([1, 2, 3, 4]), NDArray[Shape["2, 2"], Int]) +False + +``` + +`nptyping` also provides `assert_isinstance`. In contrast to `assert isinstance(...)`, this won't cause IDEs or MyPy +complaints. Here is an example: +```python +>>> from nptyping import assert_isinstance + +>>> assert_isinstance(np.array([1]), NDArray[Shape["1"], Int]) +True + +``` + +### NumPy Structured arrays + +You can also express structured arrays using `nptyping.Structure`: +```python +>>> from nptyping import Structure + +>>> Structure["name: Str, age: Int"] +Structure['age: Int, name: Str'] + +``` + +Here is an example to see it in action: +```python +>>> from typing import Any +>>> import numpy as np +>>> from nptyping import NDArray, Structure + +>>> arr = np.array([("Peter", 34)], dtype=[("name", "U10"), ("age", "i4")]) +>>> isinstance(arr, NDArray[Any, Structure["name: Str, age: Int"]]) +True + +``` + +Subarrays can be expressed with a shape expression between square brackets: +```python +>>> Structure["name: Int[3, 3]"] +Structure['name: Int[3, 3]'] + +``` + +### NumPy Record arrays +The recarray is a specialization of a structured array. You can use `RecArray` +to express them. + +```python +>>> from nptyping import RecArray + +>>> arr = np.array([("Peter", 34)], dtype=[("name", "U10"), ("age", "i4")]) +>>> rec_arr = arr.view(np.recarray) +>>> isinstance(rec_arr, RecArray[Any, Structure["name: Str, age: Int"]]) +True + +``` + +### Pandas DataFrames +Pandas DataFrames can be expressed with `Structure` also. To make it more concise, you may want to alias `Structure`. +```python +>>> from nptyping import DataFrame, Structure as S + +>>> df: DataFrame[S["x: Float, y: Float"]] + +``` + +### More examples + +Here is an example of a rich expression that can be done with `nptyping`: +```python +def plan_route( + locations: NDArray[Shape["[from, to], [x, y]"], Float] +) -> NDArray[Shape["* stops, [x, y]"], Float]: + ... + +``` + +More examples can be found in the [documentation](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md#Examples). + +## Documentation + +* [User documentation](https://github.com/ramonhagenaars/nptyping/blob/master/USERDOCS.md)
+The place to go if you are using this library.

+ +* [Release notes](https://github.com/ramonhagenaars/nptyping/blob/master/HISTORY.md)
+To see what's new, check out the release notes.

+ +* [Contributing](https://github.com/ramonhagenaars/nptyping/blob/master/CONTRIBUTING.md)
+If you're interested in developing along, find the guidelines here.

+ +* [License](https://github.com/ramonhagenaars/nptyping/blob/master/LICENSE)
+If you want to check out how open source this library is. + + + + +%prep +%autosetup -n nptyping-2.5.0 + +%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-nptyping -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Sat Feb 25 2023 Python_Bot - 2.5.0-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..002217c --- /dev/null +++ b/sources @@ -0,0 +1 @@ +08bddbff6a31f7e42d59ec1d4819d0e5 nptyping-2.5.0.tar.gz -- cgit v1.2.3