%global _empty_manifest_terminate_build 0
Name:		python-pylibjpeg-rle
Version:	1.3.0
Release:	1
Summary:	Python bindings for a fast RLE decoder/encoder, with a focus on use as a plugin for pylibjpeg
License:	MIT
URL:		https://github.com/pydicom/pylibjpeg-rle
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/83/6b/1cb32f6d8f2ae1e7b2b700f4adc9737aa2a40fc90db374c2a060a09c8917/pylibjpeg-rle-1.3.0.tar.gz

Requires:	python3-numpy
Requires:	python3-pydicom
Requires:	python3-numpy
Requires:	python3-asv
Requires:	python3-pytest
Requires:	python3-pydicom
Requires:	python3-numpy

%description
[![Build Status](https://github.com/pydicom/pylibjpeg-rle/workflows/unit-tests/badge.svg)](https://github.com/pydicom/pylibjpeg-rle/actions?query=workflow%3Aunit-tests)
[![codecov](https://codecov.io/gh/pydicom/pylibjpeg-rle/branch/master/graph/badge.svg)](https://codecov.io/gh/pydicom/pylibjpeg-rle)
[![PyPI version](https://badge.fury.io/py/pylibjpeg-rle.svg)](https://badge.fury.io/py/pylibjpeg-rle)
[![Python versions](https://img.shields.io/pypi/pyversions/pylibjpeg-rle.svg)](https://img.shields.io/pypi/pyversions/pylibjpeg-rle.svg)

## pylibjpeg-rle

A fast DICOM ([PackBits](https://en.wikipedia.org/wiki/PackBits)) RLE plugin for [pylibjpeg](https://github.com/pydicom/pylibjpeg), written in Rust with a Python 3.7+ wrapper.

Linux, MacOS and Windows are all supported.

### Installation
#### Installing the current release
```bash
pip install pylibjpeg-rle
```
#### Installing the development version

Make sure [Python](https://www.python.org/), [Git](https://git-scm.com/) and
[Rust](https://www.rust-lang.org/) are installed. For Windows, you also need to install
[Microsoft's C++ Build Tools](https://visualstudio.microsoft.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=16).
```bash
git clone https://github.com/pydicom/pylibjpeg-rle
cd pylibjpeg-rle
python -m pip install .
```

### Supported Transfer Syntaxes

| UID                 | Description  | Decoding | Encoding |
| ---                 | ---          | ---      | ---      |
| 1.2.840.10008.1.2.5 | RLE Lossless | Yes      | Yes      |

### Usage
#### Decoding
##### With pylibjpeg

```python
from pydicom import dcmread
from pydicom.data import get_testdata_file

ds = dcmread(get_testdata_file("OBXXXX1A_rle.dcm"))
arr = ds.pixel_array
```

##### Standalone with pydicom
Alternatively you can use the included functions to decode a given dataset:
```python
from rle import pixel_array, generate_frames

# Return the entire Pixel Data as an ndarray
arr = pixel_array(ds)

# Generator function that only processes 1 frame at a time,
# may help reduce memory usage when dealing with large Pixel Data
for arr in generate_frames(ds):
    print(arr.shape)
```

#### Encoding
##### Standalone with pydicom

Convert uncompressed pixel data to RLE encoding and save:
```python
from pydicom import dcmread
from pydicom.data import get_testdata_file
from pydicom.uid import RLELossless

from rle import pixel_data

# Get the uncompressed pixel data
ds = dcmread(get_testdata_file("OBXXXX1A.dcm"))
arr = ds.pixel_array

# RLE encode and encapsulate `arr`
ds.PixelData = pixel_data(arr, ds)
# Set the correct *Transfer Syntax UID*
ds.file_meta.TransferSyntaxUID = RLELossless
ds.save_as('as_rle.dcm')
```

### Benchmarks
#### Decoding

Time per 1000 decodes, pydicom's default RLE handler vs. pylibjpeg-rle

| Dataset                     | Pixels  | Bytes   | pydicom | pylibjpeg-rle |
| ---                         | ---     | ---     | ---     | ---           |
| OBXXXX1A_rle.dcm            | 480,000 | 480,000 | 4.89 s  |        0.79 s |
| OBXXXX1A_rle_2frame.dcm     | 960,000 | 960,000 | 9.89 s  |        1.65 s |
| SC_rgb_rle.dcm              |  10,000 |  30,000 | 0.20 s  |        0.15 s |
| SC_rgb_rle_2frame.dcm       |  20,000 |  60,000 | 0.32 s  |        0.18 s |
| MR_small_RLE.dcm            |   4,096 |   8,192 | 0.35 s  |        0.13 s |
| emri_small_RLE.dcm          |  40,960 |  81,920 | 1.13 s  |        0.28 s |
| SC_rgb_rle_16bit.dcm        |  10,000 |  60,000 | 0.33 s  |        0.17 s |
| SC_rgb_rle_16bit_2frame.dcm |  20,000 | 120,000 | 0.56 s  |        0.21 s |
| rtdose_rle_1frame.dcm       |     100 |     400 | 0.12 s  |        0.13 s |
| rtdose_rle.dcm              |   1,500 |   6,000 | 0.53 s  |        0.26 s |
| SC_rgb_rle_32bit.dcm        |  10,000 | 120,000 | 0.56 s  |        0.19 s |
| SC_rgb_rle_32bit_2frame.dcm |  20,000 | 240,000 | 1.03 s  |        0.28 s |

#### Encoding

Time per 1000 encodes, pydicom's default RLE handler vs. pylibjpeg-rle

| Dataset            | Pixels  | Bytes   | pydicom | pylibjpeg-rle |
| ---                | ---     | ---     | ---     | ---           |
| OBXXXX1A.dcm       | 480,000 | 480,000 | 30.7 s  |       1.36 s  |
| SC_rgb.dcm         |  10,000 |  30,000 | 1.80 s  |       0.09 s  |
| MR_small.dcm       |   4,096 |   8,192 | 2.29 s  |       0.04 s  |
| SC_rgb_16bit.dcm   |  10,000 |  60,000 | 3.57 s  |       0.17 s  |
| rtdose_1frame.dcm  |     100 |     400 | 0.19 s  |       0.003 s |
| SC_rgb_32bit.dcm   |  10,000 | 120,000 | 7.20 s  |       0.33 s  |




%package -n python3-pylibjpeg-rle
Summary:	Python bindings for a fast RLE decoder/encoder, with a focus on use as a plugin for pylibjpeg
Provides:	python-pylibjpeg-rle
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-pylibjpeg-rle
[![Build Status](https://github.com/pydicom/pylibjpeg-rle/workflows/unit-tests/badge.svg)](https://github.com/pydicom/pylibjpeg-rle/actions?query=workflow%3Aunit-tests)
[![codecov](https://codecov.io/gh/pydicom/pylibjpeg-rle/branch/master/graph/badge.svg)](https://codecov.io/gh/pydicom/pylibjpeg-rle)
[![PyPI version](https://badge.fury.io/py/pylibjpeg-rle.svg)](https://badge.fury.io/py/pylibjpeg-rle)
[![Python versions](https://img.shields.io/pypi/pyversions/pylibjpeg-rle.svg)](https://img.shields.io/pypi/pyversions/pylibjpeg-rle.svg)

## pylibjpeg-rle

A fast DICOM ([PackBits](https://en.wikipedia.org/wiki/PackBits)) RLE plugin for [pylibjpeg](https://github.com/pydicom/pylibjpeg), written in Rust with a Python 3.7+ wrapper.

Linux, MacOS and Windows are all supported.

### Installation
#### Installing the current release
```bash
pip install pylibjpeg-rle
```
#### Installing the development version

Make sure [Python](https://www.python.org/), [Git](https://git-scm.com/) and
[Rust](https://www.rust-lang.org/) are installed. For Windows, you also need to install
[Microsoft's C++ Build Tools](https://visualstudio.microsoft.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=16).
```bash
git clone https://github.com/pydicom/pylibjpeg-rle
cd pylibjpeg-rle
python -m pip install .
```

### Supported Transfer Syntaxes

| UID                 | Description  | Decoding | Encoding |
| ---                 | ---          | ---      | ---      |
| 1.2.840.10008.1.2.5 | RLE Lossless | Yes      | Yes      |

### Usage
#### Decoding
##### With pylibjpeg

```python
from pydicom import dcmread
from pydicom.data import get_testdata_file

ds = dcmread(get_testdata_file("OBXXXX1A_rle.dcm"))
arr = ds.pixel_array
```

##### Standalone with pydicom
Alternatively you can use the included functions to decode a given dataset:
```python
from rle import pixel_array, generate_frames

# Return the entire Pixel Data as an ndarray
arr = pixel_array(ds)

# Generator function that only processes 1 frame at a time,
# may help reduce memory usage when dealing with large Pixel Data
for arr in generate_frames(ds):
    print(arr.shape)
```

#### Encoding
##### Standalone with pydicom

Convert uncompressed pixel data to RLE encoding and save:
```python
from pydicom import dcmread
from pydicom.data import get_testdata_file
from pydicom.uid import RLELossless

from rle import pixel_data

# Get the uncompressed pixel data
ds = dcmread(get_testdata_file("OBXXXX1A.dcm"))
arr = ds.pixel_array

# RLE encode and encapsulate `arr`
ds.PixelData = pixel_data(arr, ds)
# Set the correct *Transfer Syntax UID*
ds.file_meta.TransferSyntaxUID = RLELossless
ds.save_as('as_rle.dcm')
```

### Benchmarks
#### Decoding

Time per 1000 decodes, pydicom's default RLE handler vs. pylibjpeg-rle

| Dataset                     | Pixels  | Bytes   | pydicom | pylibjpeg-rle |
| ---                         | ---     | ---     | ---     | ---           |
| OBXXXX1A_rle.dcm            | 480,000 | 480,000 | 4.89 s  |        0.79 s |
| OBXXXX1A_rle_2frame.dcm     | 960,000 | 960,000 | 9.89 s  |        1.65 s |
| SC_rgb_rle.dcm              |  10,000 |  30,000 | 0.20 s  |        0.15 s |
| SC_rgb_rle_2frame.dcm       |  20,000 |  60,000 | 0.32 s  |        0.18 s |
| MR_small_RLE.dcm            |   4,096 |   8,192 | 0.35 s  |        0.13 s |
| emri_small_RLE.dcm          |  40,960 |  81,920 | 1.13 s  |        0.28 s |
| SC_rgb_rle_16bit.dcm        |  10,000 |  60,000 | 0.33 s  |        0.17 s |
| SC_rgb_rle_16bit_2frame.dcm |  20,000 | 120,000 | 0.56 s  |        0.21 s |
| rtdose_rle_1frame.dcm       |     100 |     400 | 0.12 s  |        0.13 s |
| rtdose_rle.dcm              |   1,500 |   6,000 | 0.53 s  |        0.26 s |
| SC_rgb_rle_32bit.dcm        |  10,000 | 120,000 | 0.56 s  |        0.19 s |
| SC_rgb_rle_32bit_2frame.dcm |  20,000 | 240,000 | 1.03 s  |        0.28 s |

#### Encoding

Time per 1000 encodes, pydicom's default RLE handler vs. pylibjpeg-rle

| Dataset            | Pixels  | Bytes   | pydicom | pylibjpeg-rle |
| ---                | ---     | ---     | ---     | ---           |
| OBXXXX1A.dcm       | 480,000 | 480,000 | 30.7 s  |       1.36 s  |
| SC_rgb.dcm         |  10,000 |  30,000 | 1.80 s  |       0.09 s  |
| MR_small.dcm       |   4,096 |   8,192 | 2.29 s  |       0.04 s  |
| SC_rgb_16bit.dcm   |  10,000 |  60,000 | 3.57 s  |       0.17 s  |
| rtdose_1frame.dcm  |     100 |     400 | 0.19 s  |       0.003 s |
| SC_rgb_32bit.dcm   |  10,000 | 120,000 | 7.20 s  |       0.33 s  |




%package help
Summary:	Development documents and examples for pylibjpeg-rle
Provides:	python3-pylibjpeg-rle-doc
%description help
[![Build Status](https://github.com/pydicom/pylibjpeg-rle/workflows/unit-tests/badge.svg)](https://github.com/pydicom/pylibjpeg-rle/actions?query=workflow%3Aunit-tests)
[![codecov](https://codecov.io/gh/pydicom/pylibjpeg-rle/branch/master/graph/badge.svg)](https://codecov.io/gh/pydicom/pylibjpeg-rle)
[![PyPI version](https://badge.fury.io/py/pylibjpeg-rle.svg)](https://badge.fury.io/py/pylibjpeg-rle)
[![Python versions](https://img.shields.io/pypi/pyversions/pylibjpeg-rle.svg)](https://img.shields.io/pypi/pyversions/pylibjpeg-rle.svg)

## pylibjpeg-rle

A fast DICOM ([PackBits](https://en.wikipedia.org/wiki/PackBits)) RLE plugin for [pylibjpeg](https://github.com/pydicom/pylibjpeg), written in Rust with a Python 3.7+ wrapper.

Linux, MacOS and Windows are all supported.

### Installation
#### Installing the current release
```bash
pip install pylibjpeg-rle
```
#### Installing the development version

Make sure [Python](https://www.python.org/), [Git](https://git-scm.com/) and
[Rust](https://www.rust-lang.org/) are installed. For Windows, you also need to install
[Microsoft's C++ Build Tools](https://visualstudio.microsoft.com/thank-you-downloading-visual-studio/?sku=BuildTools&rel=16).
```bash
git clone https://github.com/pydicom/pylibjpeg-rle
cd pylibjpeg-rle
python -m pip install .
```

### Supported Transfer Syntaxes

| UID                 | Description  | Decoding | Encoding |
| ---                 | ---          | ---      | ---      |
| 1.2.840.10008.1.2.5 | RLE Lossless | Yes      | Yes      |

### Usage
#### Decoding
##### With pylibjpeg

```python
from pydicom import dcmread
from pydicom.data import get_testdata_file

ds = dcmread(get_testdata_file("OBXXXX1A_rle.dcm"))
arr = ds.pixel_array
```

##### Standalone with pydicom
Alternatively you can use the included functions to decode a given dataset:
```python
from rle import pixel_array, generate_frames

# Return the entire Pixel Data as an ndarray
arr = pixel_array(ds)

# Generator function that only processes 1 frame at a time,
# may help reduce memory usage when dealing with large Pixel Data
for arr in generate_frames(ds):
    print(arr.shape)
```

#### Encoding
##### Standalone with pydicom

Convert uncompressed pixel data to RLE encoding and save:
```python
from pydicom import dcmread
from pydicom.data import get_testdata_file
from pydicom.uid import RLELossless

from rle import pixel_data

# Get the uncompressed pixel data
ds = dcmread(get_testdata_file("OBXXXX1A.dcm"))
arr = ds.pixel_array

# RLE encode and encapsulate `arr`
ds.PixelData = pixel_data(arr, ds)
# Set the correct *Transfer Syntax UID*
ds.file_meta.TransferSyntaxUID = RLELossless
ds.save_as('as_rle.dcm')
```

### Benchmarks
#### Decoding

Time per 1000 decodes, pydicom's default RLE handler vs. pylibjpeg-rle

| Dataset                     | Pixels  | Bytes   | pydicom | pylibjpeg-rle |
| ---                         | ---     | ---     | ---     | ---           |
| OBXXXX1A_rle.dcm            | 480,000 | 480,000 | 4.89 s  |        0.79 s |
| OBXXXX1A_rle_2frame.dcm     | 960,000 | 960,000 | 9.89 s  |        1.65 s |
| SC_rgb_rle.dcm              |  10,000 |  30,000 | 0.20 s  |        0.15 s |
| SC_rgb_rle_2frame.dcm       |  20,000 |  60,000 | 0.32 s  |        0.18 s |
| MR_small_RLE.dcm            |   4,096 |   8,192 | 0.35 s  |        0.13 s |
| emri_small_RLE.dcm          |  40,960 |  81,920 | 1.13 s  |        0.28 s |
| SC_rgb_rle_16bit.dcm        |  10,000 |  60,000 | 0.33 s  |        0.17 s |
| SC_rgb_rle_16bit_2frame.dcm |  20,000 | 120,000 | 0.56 s  |        0.21 s |
| rtdose_rle_1frame.dcm       |     100 |     400 | 0.12 s  |        0.13 s |
| rtdose_rle.dcm              |   1,500 |   6,000 | 0.53 s  |        0.26 s |
| SC_rgb_rle_32bit.dcm        |  10,000 | 120,000 | 0.56 s  |        0.19 s |
| SC_rgb_rle_32bit_2frame.dcm |  20,000 | 240,000 | 1.03 s  |        0.28 s |

#### Encoding

Time per 1000 encodes, pydicom's default RLE handler vs. pylibjpeg-rle

| Dataset            | Pixels  | Bytes   | pydicom | pylibjpeg-rle |
| ---                | ---     | ---     | ---     | ---           |
| OBXXXX1A.dcm       | 480,000 | 480,000 | 30.7 s  |       1.36 s  |
| SC_rgb.dcm         |  10,000 |  30,000 | 1.80 s  |       0.09 s  |
| MR_small.dcm       |   4,096 |   8,192 | 2.29 s  |       0.04 s  |
| SC_rgb_16bit.dcm   |  10,000 |  60,000 | 3.57 s  |       0.17 s  |
| rtdose_1frame.dcm  |     100 |     400 | 0.19 s  |       0.003 s |
| SC_rgb_32bit.dcm   |  10,000 | 120,000 | 7.20 s  |       0.33 s  |




%prep
%autosetup -n pylibjpeg-rle-1.3.0

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

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

%changelog
* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.0-1
- Package Spec generated