%global _empty_manifest_terminate_build 0
Name:		python-cityhash
Version:	0.4.6
Release:	1
Summary:	Python bindings for CityHash and FarmHash
License:	MIT
URL:		https://github.com/escherba/python-cityhash
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/48/e0/5bf47be42c9ce0e746484a038a1c5ac263fd7980492b4efd18c2fd6ac930/cityhash-0.4.6.tar.gz


%description
# CityHash/FarmHash

Python wrapper for [FarmHash](https://github.com/google/farmhash) and
[CityHash](https://github.com/google/cityhash), a family of fast
non-cryptographic hash functions.

[![Build
Status](https://img.shields.io/github/actions/workflow/status/escherba/python-cityhash/build.yml?branch=master)](https://github.com/escherba/python-cityhash/actions/workflows/build.yml)
[![Latest
Version](https://img.shields.io/pypi/v/cityhash.svg)](https://pypi.python.org/pypi/cityhash)
[![Downloads](https://img.shields.io/pypi/dm/cityhash.svg)](https://pypistats.org/packages/cityhash)
[![License](https://img.shields.io/pypi/l/cityhash.svg)](https://opensource.org/licenses/mit-license)
[![Supported Python
versions](https://img.shields.io/pypi/pyversions/cityhash.svg)](https://pypi.python.org/pypi/cityhash)

## Getting Started

This simplest way to use this package is to install it from PyPI:

``` bash
pip install cityhash
```

This package exposes Python APIs for CityHash and FarmHash under `cityhash` and
`farmhash` namespaces, respectively. Each provides 32-, 64- and 128-bit
implementations.

## Usage Examples

### Stateless hashing

Usage example for FarmHash:

``` python
>>> from farmhash import FarmHash32, FarmHash64, FarmHash128
>>> FarmHash32("abc")
1961358185
>>> FarmHash64("abc")
2640714258260161385
>>> FarmHash128("abc")
76434233956484675513733017140465933893

```

### Hardware-independent fingerprints

Fingerprints are seedless hashes which are guaranteed to be hardware- and
platform-independent. This can be useful for networking applications which
require persisting hashed values.

``` python
>>> from farmhash import Fingerprint128
>>> Fingerprint128("abc")
76434233956484675513733017140465933893

```

### Incremental hashing

CityHash and FarmHash do not support incremental hashing and thus are not ideal
for hashing of streams. If you require incremental hashing feature, use
[MetroHash](https://github.com/escherba/python-metrohash) or
[xxHash](https://github.com/ifduyue/python-xxhash) instead, which do support
it.

### Fast hashing of NumPy arrays

The Python [Buffer Protocol](https://docs.python.org/3/c-api/buffer.html)
allows Python objects to expose their data as raw byte arrays to other objects,
for fast access without copying to a separate location in memory. Among others,
NumPy is a major framework that supports this protocol.

All hashing functions in this packege will read byte arrays from objects that
expose them via the buffer protocol. Here is an example showing hashing of a 4D
NumPy array:

``` python
>>> import numpy as np
>>> from farmhash import FarmHash64
>>> arr = np.zeros((256, 256, 4))
>>> FarmHash64(arr)
1550282412043536862

```

The arrays need to be contiguous for this to work. To convert a non-contiguous
array, use NumPy's `ascontiguousarray()` function.

## SSE4.2 support

For x86-64 platforms, the PyPi repository for this package includes wheels
compiled with SSE4.2 support.  The 32- and 64-bit FarmHash variants
significantly benefit from SSE4.2 instructions. The 128-bit version,
unfortunately, does not exhibit speed up after compiling with SSE4.2 support.

The vanilla CityHash fucntions (under `cityhash` module) do not take advantage
of SSE4.2. Instead, the `cityhashcrc` module provided with this package exposes
128- and 256-bit CRC functions which do harness SSE4.2. These functions are
very fast, and beat `FarmHash128` on speed (FarmHash does not include a 256-bit
function). Since FarmHash is the intended successor of CityHash, I would be
careful before using the CityHash-CRC functions, however, and would verify
whether they provide sufficient randomness for your intended application.

## Development

### Local workflow

For those who want to contribute, here is a quick start using some makefile
commands:

``` bash
git clone https://github.com/escherba/python-cityhash.git
cd python-cityhash
make env           # create a virtual environment
make test          # run Python tests
make cpp-test      # run C++ tests
make shell         # enter IPython shell
```

To find out which Make targets are available, type:

``` bash
make help
```

### Distribution

The wheels are built using [cibuildwheel](https://cibuildwheel.readthedocs.io/)
and are distributed to PyPI using GitHub actions. The wheels contain compiled
binaries and are available for the following platforms: windows-amd64,
ubuntu-x86, linux-x86\_64, linux-aarch64, and macosx-x86\_64.

## See Also

For other fast non-cryptographic hash functions available as Python extensions,
see [MetroHash](https://github.com/escherba/python-metrohash),
[MurmurHash](https://github.com/hajimes/mmh3), and
[xxHash](https://github.com/ifduyue/python-xxhash).

## Authors

The original CityHash Python bindings are due to Alexander \[Amper\] Marshalov.
These were rewritten in Cython by Eugene Scherba, who also added the FarmHash
bindings. The CityHash and FarmHash algorithms and their C++ implementation are
by Google.

## License

This software is licensed under the [MIT
License](http://www.opensource.org/licenses/mit-license). See the included
LICENSE file for details.


%package -n python3-cityhash
Summary:	Python bindings for CityHash and FarmHash
Provides:	python-cityhash
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-cityhash
# CityHash/FarmHash

Python wrapper for [FarmHash](https://github.com/google/farmhash) and
[CityHash](https://github.com/google/cityhash), a family of fast
non-cryptographic hash functions.

[![Build
Status](https://img.shields.io/github/actions/workflow/status/escherba/python-cityhash/build.yml?branch=master)](https://github.com/escherba/python-cityhash/actions/workflows/build.yml)
[![Latest
Version](https://img.shields.io/pypi/v/cityhash.svg)](https://pypi.python.org/pypi/cityhash)
[![Downloads](https://img.shields.io/pypi/dm/cityhash.svg)](https://pypistats.org/packages/cityhash)
[![License](https://img.shields.io/pypi/l/cityhash.svg)](https://opensource.org/licenses/mit-license)
[![Supported Python
versions](https://img.shields.io/pypi/pyversions/cityhash.svg)](https://pypi.python.org/pypi/cityhash)

## Getting Started

This simplest way to use this package is to install it from PyPI:

``` bash
pip install cityhash
```

This package exposes Python APIs for CityHash and FarmHash under `cityhash` and
`farmhash` namespaces, respectively. Each provides 32-, 64- and 128-bit
implementations.

## Usage Examples

### Stateless hashing

Usage example for FarmHash:

``` python
>>> from farmhash import FarmHash32, FarmHash64, FarmHash128
>>> FarmHash32("abc")
1961358185
>>> FarmHash64("abc")
2640714258260161385
>>> FarmHash128("abc")
76434233956484675513733017140465933893

```

### Hardware-independent fingerprints

Fingerprints are seedless hashes which are guaranteed to be hardware- and
platform-independent. This can be useful for networking applications which
require persisting hashed values.

``` python
>>> from farmhash import Fingerprint128
>>> Fingerprint128("abc")
76434233956484675513733017140465933893

```

### Incremental hashing

CityHash and FarmHash do not support incremental hashing and thus are not ideal
for hashing of streams. If you require incremental hashing feature, use
[MetroHash](https://github.com/escherba/python-metrohash) or
[xxHash](https://github.com/ifduyue/python-xxhash) instead, which do support
it.

### Fast hashing of NumPy arrays

The Python [Buffer Protocol](https://docs.python.org/3/c-api/buffer.html)
allows Python objects to expose their data as raw byte arrays to other objects,
for fast access without copying to a separate location in memory. Among others,
NumPy is a major framework that supports this protocol.

All hashing functions in this packege will read byte arrays from objects that
expose them via the buffer protocol. Here is an example showing hashing of a 4D
NumPy array:

``` python
>>> import numpy as np
>>> from farmhash import FarmHash64
>>> arr = np.zeros((256, 256, 4))
>>> FarmHash64(arr)
1550282412043536862

```

The arrays need to be contiguous for this to work. To convert a non-contiguous
array, use NumPy's `ascontiguousarray()` function.

## SSE4.2 support

For x86-64 platforms, the PyPi repository for this package includes wheels
compiled with SSE4.2 support.  The 32- and 64-bit FarmHash variants
significantly benefit from SSE4.2 instructions. The 128-bit version,
unfortunately, does not exhibit speed up after compiling with SSE4.2 support.

The vanilla CityHash fucntions (under `cityhash` module) do not take advantage
of SSE4.2. Instead, the `cityhashcrc` module provided with this package exposes
128- and 256-bit CRC functions which do harness SSE4.2. These functions are
very fast, and beat `FarmHash128` on speed (FarmHash does not include a 256-bit
function). Since FarmHash is the intended successor of CityHash, I would be
careful before using the CityHash-CRC functions, however, and would verify
whether they provide sufficient randomness for your intended application.

## Development

### Local workflow

For those who want to contribute, here is a quick start using some makefile
commands:

``` bash
git clone https://github.com/escherba/python-cityhash.git
cd python-cityhash
make env           # create a virtual environment
make test          # run Python tests
make cpp-test      # run C++ tests
make shell         # enter IPython shell
```

To find out which Make targets are available, type:

``` bash
make help
```

### Distribution

The wheels are built using [cibuildwheel](https://cibuildwheel.readthedocs.io/)
and are distributed to PyPI using GitHub actions. The wheels contain compiled
binaries and are available for the following platforms: windows-amd64,
ubuntu-x86, linux-x86\_64, linux-aarch64, and macosx-x86\_64.

## See Also

For other fast non-cryptographic hash functions available as Python extensions,
see [MetroHash](https://github.com/escherba/python-metrohash),
[MurmurHash](https://github.com/hajimes/mmh3), and
[xxHash](https://github.com/ifduyue/python-xxhash).

## Authors

The original CityHash Python bindings are due to Alexander \[Amper\] Marshalov.
These were rewritten in Cython by Eugene Scherba, who also added the FarmHash
bindings. The CityHash and FarmHash algorithms and their C++ implementation are
by Google.

## License

This software is licensed under the [MIT
License](http://www.opensource.org/licenses/mit-license). See the included
LICENSE file for details.


%package help
Summary:	Development documents and examples for cityhash
Provides:	python3-cityhash-doc
%description help
# CityHash/FarmHash

Python wrapper for [FarmHash](https://github.com/google/farmhash) and
[CityHash](https://github.com/google/cityhash), a family of fast
non-cryptographic hash functions.

[![Build
Status](https://img.shields.io/github/actions/workflow/status/escherba/python-cityhash/build.yml?branch=master)](https://github.com/escherba/python-cityhash/actions/workflows/build.yml)
[![Latest
Version](https://img.shields.io/pypi/v/cityhash.svg)](https://pypi.python.org/pypi/cityhash)
[![Downloads](https://img.shields.io/pypi/dm/cityhash.svg)](https://pypistats.org/packages/cityhash)
[![License](https://img.shields.io/pypi/l/cityhash.svg)](https://opensource.org/licenses/mit-license)
[![Supported Python
versions](https://img.shields.io/pypi/pyversions/cityhash.svg)](https://pypi.python.org/pypi/cityhash)

## Getting Started

This simplest way to use this package is to install it from PyPI:

``` bash
pip install cityhash
```

This package exposes Python APIs for CityHash and FarmHash under `cityhash` and
`farmhash` namespaces, respectively. Each provides 32-, 64- and 128-bit
implementations.

## Usage Examples

### Stateless hashing

Usage example for FarmHash:

``` python
>>> from farmhash import FarmHash32, FarmHash64, FarmHash128
>>> FarmHash32("abc")
1961358185
>>> FarmHash64("abc")
2640714258260161385
>>> FarmHash128("abc")
76434233956484675513733017140465933893

```

### Hardware-independent fingerprints

Fingerprints are seedless hashes which are guaranteed to be hardware- and
platform-independent. This can be useful for networking applications which
require persisting hashed values.

``` python
>>> from farmhash import Fingerprint128
>>> Fingerprint128("abc")
76434233956484675513733017140465933893

```

### Incremental hashing

CityHash and FarmHash do not support incremental hashing and thus are not ideal
for hashing of streams. If you require incremental hashing feature, use
[MetroHash](https://github.com/escherba/python-metrohash) or
[xxHash](https://github.com/ifduyue/python-xxhash) instead, which do support
it.

### Fast hashing of NumPy arrays

The Python [Buffer Protocol](https://docs.python.org/3/c-api/buffer.html)
allows Python objects to expose their data as raw byte arrays to other objects,
for fast access without copying to a separate location in memory. Among others,
NumPy is a major framework that supports this protocol.

All hashing functions in this packege will read byte arrays from objects that
expose them via the buffer protocol. Here is an example showing hashing of a 4D
NumPy array:

``` python
>>> import numpy as np
>>> from farmhash import FarmHash64
>>> arr = np.zeros((256, 256, 4))
>>> FarmHash64(arr)
1550282412043536862

```

The arrays need to be contiguous for this to work. To convert a non-contiguous
array, use NumPy's `ascontiguousarray()` function.

## SSE4.2 support

For x86-64 platforms, the PyPi repository for this package includes wheels
compiled with SSE4.2 support.  The 32- and 64-bit FarmHash variants
significantly benefit from SSE4.2 instructions. The 128-bit version,
unfortunately, does not exhibit speed up after compiling with SSE4.2 support.

The vanilla CityHash fucntions (under `cityhash` module) do not take advantage
of SSE4.2. Instead, the `cityhashcrc` module provided with this package exposes
128- and 256-bit CRC functions which do harness SSE4.2. These functions are
very fast, and beat `FarmHash128` on speed (FarmHash does not include a 256-bit
function). Since FarmHash is the intended successor of CityHash, I would be
careful before using the CityHash-CRC functions, however, and would verify
whether they provide sufficient randomness for your intended application.

## Development

### Local workflow

For those who want to contribute, here is a quick start using some makefile
commands:

``` bash
git clone https://github.com/escherba/python-cityhash.git
cd python-cityhash
make env           # create a virtual environment
make test          # run Python tests
make cpp-test      # run C++ tests
make shell         # enter IPython shell
```

To find out which Make targets are available, type:

``` bash
make help
```

### Distribution

The wheels are built using [cibuildwheel](https://cibuildwheel.readthedocs.io/)
and are distributed to PyPI using GitHub actions. The wheels contain compiled
binaries and are available for the following platforms: windows-amd64,
ubuntu-x86, linux-x86\_64, linux-aarch64, and macosx-x86\_64.

## See Also

For other fast non-cryptographic hash functions available as Python extensions,
see [MetroHash](https://github.com/escherba/python-metrohash),
[MurmurHash](https://github.com/hajimes/mmh3), and
[xxHash](https://github.com/ifduyue/python-xxhash).

## Authors

The original CityHash Python bindings are due to Alexander \[Amper\] Marshalov.
These were rewritten in Cython by Eugene Scherba, who also added the FarmHash
bindings. The CityHash and FarmHash algorithms and their C++ implementation are
by Google.

## License

This software is licensed under the [MIT
License](http://www.opensource.org/licenses/mit-license). See the included
LICENSE file for details.


%prep
%autosetup -n cityhash-0.4.6

%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-cityhash -f filelist.lst
%dir %{python3_sitearch}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.6-1
- Package Spec generated