%global _empty_manifest_terminate_build 0 Name: python-img2pdf Version: 0.4.4 Release: 1 Summary: Convert images to PDF via direct JPEG inclusion. License: LGPL URL: https://gitlab.mister-muffin.de/josch/img2pdf Source0: https://mirrors.nju.edu.cn/pypi/web/packages/95/b5/f933f482a811fb9a7b3707f60e28f2925fed84726e5a6283ba07fdd54f49/img2pdf-0.4.4.tar.gz BuildArch: noarch %description Lossless conversion of raster images to PDF. You should use img2pdf if your priorities are (in this order): 1. **always lossless**: the image embedded in the PDF will always have the exact same color information for every pixel as the input 2. **small**: if possible, the difference in filesize between the input image and the output PDF will only be the overhead of the PDF container itself 3. **fast**: if possible, the input image is just pasted into the PDF document as-is without any CPU hungry re-encoding of the pixel data Conventional conversion software (like ImageMagick) would either: 1. not be lossless because lossy re-encoding to JPEG 2. not be small because using wasteful flate encoding of raw pixel data 3. not be fast because input data gets re-encoded Another advantage of not having to re-encode the input (in most common situations) is, that img2pdf is able to handle much larger input than other software, because the raw pixel data never has to be loaded into memory. The following table shows how img2pdf handles different input depending on the input file format and image color space. | Format | Colorspace | Result | | ------------------------------------- | ------------------------------ | ------------- | | JPEG | any | direct | | JPEG2000 | any | direct | | PNG (non-interlaced, no transparency) | any | direct | | TIFF (CCITT Group 4) | monochrome | direct | | any | any except CMYK and monochrome | PNG Paeth | | any | monochrome | CCITT Group 4 | | any | CMYK | flate | For JPEG, JPEG2000, non-interlaced PNG and TIFF images with CCITT Group 4 encoded data, img2pdf directly embeds the image data into the PDF without re-encoding it. It thus treats the PDF format merely as a container format for the image data. In these cases, img2pdf only increases the filesize by the size of the PDF container (typically around 500 to 700 bytes). Since data is only copied and not re-encoded, img2pdf is also typically faster than other solutions for these input formats. For all other input types, img2pdf first has to transform the pixel data to make it compatible with PDF. In most cases, the PNG Paeth filter is applied to the pixel data. For monochrome input, CCITT Group 4 is used instead. Only for CMYK input no filter is applied before finally applying flate compression. %package -n python3-img2pdf Summary: Convert images to PDF via direct JPEG inclusion. Provides: python-img2pdf BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-img2pdf Lossless conversion of raster images to PDF. You should use img2pdf if your priorities are (in this order): 1. **always lossless**: the image embedded in the PDF will always have the exact same color information for every pixel as the input 2. **small**: if possible, the difference in filesize between the input image and the output PDF will only be the overhead of the PDF container itself 3. **fast**: if possible, the input image is just pasted into the PDF document as-is without any CPU hungry re-encoding of the pixel data Conventional conversion software (like ImageMagick) would either: 1. not be lossless because lossy re-encoding to JPEG 2. not be small because using wasteful flate encoding of raw pixel data 3. not be fast because input data gets re-encoded Another advantage of not having to re-encode the input (in most common situations) is, that img2pdf is able to handle much larger input than other software, because the raw pixel data never has to be loaded into memory. The following table shows how img2pdf handles different input depending on the input file format and image color space. | Format | Colorspace | Result | | ------------------------------------- | ------------------------------ | ------------- | | JPEG | any | direct | | JPEG2000 | any | direct | | PNG (non-interlaced, no transparency) | any | direct | | TIFF (CCITT Group 4) | monochrome | direct | | any | any except CMYK and monochrome | PNG Paeth | | any | monochrome | CCITT Group 4 | | any | CMYK | flate | For JPEG, JPEG2000, non-interlaced PNG and TIFF images with CCITT Group 4 encoded data, img2pdf directly embeds the image data into the PDF without re-encoding it. It thus treats the PDF format merely as a container format for the image data. In these cases, img2pdf only increases the filesize by the size of the PDF container (typically around 500 to 700 bytes). Since data is only copied and not re-encoded, img2pdf is also typically faster than other solutions for these input formats. For all other input types, img2pdf first has to transform the pixel data to make it compatible with PDF. In most cases, the PNG Paeth filter is applied to the pixel data. For monochrome input, CCITT Group 4 is used instead. Only for CMYK input no filter is applied before finally applying flate compression. %package help Summary: Development documents and examples for img2pdf Provides: python3-img2pdf-doc %description help Lossless conversion of raster images to PDF. You should use img2pdf if your priorities are (in this order): 1. **always lossless**: the image embedded in the PDF will always have the exact same color information for every pixel as the input 2. **small**: if possible, the difference in filesize between the input image and the output PDF will only be the overhead of the PDF container itself 3. **fast**: if possible, the input image is just pasted into the PDF document as-is without any CPU hungry re-encoding of the pixel data Conventional conversion software (like ImageMagick) would either: 1. not be lossless because lossy re-encoding to JPEG 2. not be small because using wasteful flate encoding of raw pixel data 3. not be fast because input data gets re-encoded Another advantage of not having to re-encode the input (in most common situations) is, that img2pdf is able to handle much larger input than other software, because the raw pixel data never has to be loaded into memory. The following table shows how img2pdf handles different input depending on the input file format and image color space. | Format | Colorspace | Result | | ------------------------------------- | ------------------------------ | ------------- | | JPEG | any | direct | | JPEG2000 | any | direct | | PNG (non-interlaced, no transparency) | any | direct | | TIFF (CCITT Group 4) | monochrome | direct | | any | any except CMYK and monochrome | PNG Paeth | | any | monochrome | CCITT Group 4 | | any | CMYK | flate | For JPEG, JPEG2000, non-interlaced PNG and TIFF images with CCITT Group 4 encoded data, img2pdf directly embeds the image data into the PDF without re-encoding it. It thus treats the PDF format merely as a container format for the image data. In these cases, img2pdf only increases the filesize by the size of the PDF container (typically around 500 to 700 bytes). Since data is only copied and not re-encoded, img2pdf is also typically faster than other solutions for these input formats. For all other input types, img2pdf first has to transform the pixel data to make it compatible with PDF. In most cases, the PNG Paeth filter is applied to the pixel data. For monochrome input, CCITT Group 4 is used instead. Only for CMYK input no filter is applied before finally applying flate compression. %prep %autosetup -n img2pdf-0.4.4 %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-img2pdf -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri Apr 21 2023 Python_Bot - 0.4.4-1 - Package Spec generated