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diff --git a/python-readtime.spec b/python-readtime.spec new file mode 100644 index 0000000..3784bce --- /dev/null +++ b/python-readtime.spec @@ -0,0 +1,324 @@ +%global _empty_manifest_terminate_build 0 +Name: python-readtime +Version: 2.0.0 +Release: 1 +Summary: Calculates the time some text takes the average human to read, based on Medium's read time forumula +License: BSD +URL: https://github.com/alanhamlett/readtime +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/14/a7/4b74e4c3b98ce61f1333ff75431beeca98bb9f48460b441e684c056e3b70/readtime-2.0.0.tar.gz +BuildArch: noarch + +Requires: python3-beautifulsoup4 +Requires: python3-markdown2 +Requires: python3-pyquery + +%description +# readtime + +[](https://github.com/alanhamlett/readtime/actions/workflows/tests.yml) +[](https://codecov.io/gh/alanhamlett/readtime) + +Calculates the time some text takes the average human to read, based on Medium's [read time forumula](https://help.medium.com/hc/en-us/articles/214991667-Read-time). + + +### Algorithm + +Medium's Help Center says, + +> Read time is based on the average reading speed of an adult (roughly 265 WPM). We take the total word count of a post and translate it into minutes, with an adjustment made for images. For posts in Chinese, Japanese and Korean, it's a function of number of characters (500 characters/min) with an adjustment made for images. + +Source: https://help.medium.com/hc/en-us/articles/214991667-Read-time (Read Sept 23rd, 2018) + +Double checking with real articles, the English algorithm is: + + seconds = num_words / 265 * 60 + img_weight * num_images + +With `img_weight` starting at `12` and decreasing one second with each image encountered, with a minium `img_weight` of `3` seconds. + + +### Installation + + virtualenv venv + . venv/bin/activate + pip install readtime + +Or if you like to live dangerously: + + sudo pip install readtime + + +### Usage + +Import `readtime` and pass it some text, HTML, or Markdown to get back the time it takes to read: + + >>> import readtime + >>> result = readtime.of_text('The shortest blog post in the world!') + >>> result.seconds + 2 + >>> result.text + u'1 min' + +The result can also be used as a string: + + >>> str(readtime.of_text('The shortest blog post in the world!')) + u'1 min read' + +To calculate read time of Markdown: + + >>> readtime.of_markdown('This is **Markdown**') + 1 min read + +To calculate read time of HTML: + + >>> readtime.of_html('This is <strong>HTML</strong>') + 1 min read + +To customize the WPM (default 265): + + >>> result = readtime.of_text('The shortest blog post in the world!', wpm=5) + >>> result.seconds + 96 + >>> result.text + u'2 min' + >>> result.wpm + 5 + + +### Contributing + +Before contributing a pull request, make sure tests pass: + + virtualenv venv + . venv/bin/activate + pip install tox + tox + +Many thanks to all [contributors](https://github.com/alanhamlett/readtime/blob/master/AUTHORS)! + + + + +%package -n python3-readtime +Summary: Calculates the time some text takes the average human to read, based on Medium's read time forumula +Provides: python-readtime +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-readtime +# readtime + +[](https://github.com/alanhamlett/readtime/actions/workflows/tests.yml) +[](https://codecov.io/gh/alanhamlett/readtime) + +Calculates the time some text takes the average human to read, based on Medium's [read time forumula](https://help.medium.com/hc/en-us/articles/214991667-Read-time). + + +### Algorithm + +Medium's Help Center says, + +> Read time is based on the average reading speed of an adult (roughly 265 WPM). We take the total word count of a post and translate it into minutes, with an adjustment made for images. For posts in Chinese, Japanese and Korean, it's a function of number of characters (500 characters/min) with an adjustment made for images. + +Source: https://help.medium.com/hc/en-us/articles/214991667-Read-time (Read Sept 23rd, 2018) + +Double checking with real articles, the English algorithm is: + + seconds = num_words / 265 * 60 + img_weight * num_images + +With `img_weight` starting at `12` and decreasing one second with each image encountered, with a minium `img_weight` of `3` seconds. + + +### Installation + + virtualenv venv + . venv/bin/activate + pip install readtime + +Or if you like to live dangerously: + + sudo pip install readtime + + +### Usage + +Import `readtime` and pass it some text, HTML, or Markdown to get back the time it takes to read: + + >>> import readtime + >>> result = readtime.of_text('The shortest blog post in the world!') + >>> result.seconds + 2 + >>> result.text + u'1 min' + +The result can also be used as a string: + + >>> str(readtime.of_text('The shortest blog post in the world!')) + u'1 min read' + +To calculate read time of Markdown: + + >>> readtime.of_markdown('This is **Markdown**') + 1 min read + +To calculate read time of HTML: + + >>> readtime.of_html('This is <strong>HTML</strong>') + 1 min read + +To customize the WPM (default 265): + + >>> result = readtime.of_text('The shortest blog post in the world!', wpm=5) + >>> result.seconds + 96 + >>> result.text + u'2 min' + >>> result.wpm + 5 + + +### Contributing + +Before contributing a pull request, make sure tests pass: + + virtualenv venv + . venv/bin/activate + pip install tox + tox + +Many thanks to all [contributors](https://github.com/alanhamlett/readtime/blob/master/AUTHORS)! + + + + +%package help +Summary: Development documents and examples for readtime +Provides: python3-readtime-doc +%description help +# readtime + +[](https://github.com/alanhamlett/readtime/actions/workflows/tests.yml) +[](https://codecov.io/gh/alanhamlett/readtime) + +Calculates the time some text takes the average human to read, based on Medium's [read time forumula](https://help.medium.com/hc/en-us/articles/214991667-Read-time). + + +### Algorithm + +Medium's Help Center says, + +> Read time is based on the average reading speed of an adult (roughly 265 WPM). We take the total word count of a post and translate it into minutes, with an adjustment made for images. For posts in Chinese, Japanese and Korean, it's a function of number of characters (500 characters/min) with an adjustment made for images. + +Source: https://help.medium.com/hc/en-us/articles/214991667-Read-time (Read Sept 23rd, 2018) + +Double checking with real articles, the English algorithm is: + + seconds = num_words / 265 * 60 + img_weight * num_images + +With `img_weight` starting at `12` and decreasing one second with each image encountered, with a minium `img_weight` of `3` seconds. + + +### Installation + + virtualenv venv + . venv/bin/activate + pip install readtime + +Or if you like to live dangerously: + + sudo pip install readtime + + +### Usage + +Import `readtime` and pass it some text, HTML, or Markdown to get back the time it takes to read: + + >>> import readtime + >>> result = readtime.of_text('The shortest blog post in the world!') + >>> result.seconds + 2 + >>> result.text + u'1 min' + +The result can also be used as a string: + + >>> str(readtime.of_text('The shortest blog post in the world!')) + u'1 min read' + +To calculate read time of Markdown: + + >>> readtime.of_markdown('This is **Markdown**') + 1 min read + +To calculate read time of HTML: + + >>> readtime.of_html('This is <strong>HTML</strong>') + 1 min read + +To customize the WPM (default 265): + + >>> result = readtime.of_text('The shortest blog post in the world!', wpm=5) + >>> result.seconds + 96 + >>> result.text + u'2 min' + >>> result.wpm + 5 + + +### Contributing + +Before contributing a pull request, make sure tests pass: + + virtualenv venv + . venv/bin/activate + pip install tox + tox + +Many thanks to all [contributors](https://github.com/alanhamlett/readtime/blob/master/AUTHORS)! + + + + +%prep +%autosetup -n readtime-2.0.0 + +%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-readtime -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0-1 +- Package Spec generated |