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|
%global _empty_manifest_terminate_build 0
Name: python-wavedrom
Version: 2.0.3.post3
Release: 1
Summary: WaveDrom compatible python command line
License: MIT License
URL: https://github.com/wallento/wavedrompy
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/be/71/6739e3abac630540aaeaaece4584c39f88b5f8658ce6ca517efec455e3de/wavedrom-2.0.3.post3.tar.gz
BuildArch: noarch
%description
# WaveDromPy
This is a python module and command line fully compatible with [WaveDrom](https://wavedrom.com/), which is originally implemented in JavaScript. It is useful if you want to generate wavedrom diagrams from a python environment or simply don't want to install the _Node.js_ environment just to use WaveDrom as simple command line.
WaveDromPy is for example used in [sphinxcontrib-wavedrom](https://pypi.org/project/sphinxcontrib-wavedrom/) to render wavedrom for Sphinx documentation. While the original project renders the diagrams in JavaScript in the browser, WaveDromPy renders them to SVG files.
This tool is a direct translation of original Javascript file _WaveDrom.js_ to Python. No extra feature added. We seek to have it fully compatible.
The tool _WaveDromPy_ directly converts _WaveDrom_ compatible JSON files into SVG format.
[](https://travis-ci.org/wallento/wavedrompy)
[](https://badge.fury.io/py/wavedrom)
## Installation
It is most easy to just install wavedrom via pip/pypi:
pip install wavedrom
Alternatively you can install the latest version from this repository:
pip install git+https://github.com/wallento/wavedrompy
or from your local copy:
pip install .
## Usage
You can either use the tool from Python:
import wavedrom
svg = wavedrom.render("""
{ "signal": [
{ "name": "CK", "wave": "P.......", "period": 2 },
{ "name": "CMD", "wave": "x.3x=x4x=x=x=x=x", "data": "RAS NOP CAS NOP NOP NOP NOP", "phase": 0.5 },
{ "name": "ADDR", "wave": "x.=x..=x........", "data": "ROW COL", "phase": 0.5 },
{ "name": "DQS", "wave": "z.......0.1010z." },
{ "name": "DQ", "wave": "z.........5555z.", "data": "D0 D1 D2 D3" }
]}""")
svg.saveas("demo1.svg")
This will render a waveform as:
You can find more examples [in the WaveDrom tutorial](https://wavedrom.com/tutorial.html).
A second feature is that WaveDrom can render logic circuit diagrams:
import wavedrom
svg = wavedrom.render("""
{ "assign":[
["out",
["|",
["&", ["~", "a"], "b"],
["&", ["~", "b"], "a"]
]
]
]}""")
svg.saveas("demo2.svg")
This will render a as:
You can find more examples [in the WaveDrom tutorial2](https://wavedrom.com/tutorial2.html).
Finally, wavedrom can draw registers as bitfields:
import wavedrom
svg = wavedrom.render("""
{"reg": [
{ "name": "IPO", "bits": 8, "attr": "RO" },
{ "bits": 7 },
{ "name": "<o>B</o><b>R<i>K</i></b>", "bits": 5, "attr": "RW", "type": 4 },
{ "name": "CPK", "bits": 1 },
{ "name": "Clear", "bits": 3 },
{ "bits": 8 }
]
]}""")
svg.saveas("demo3.svg")
This will render as:
This mode is documented as part of the [bit-field](https://www.npmjs.com/package/bit-field) JavaScript package.
Alternatively, WaveDromPy can be called from the command line:
wavedrompy --input input.json --svg output.svg
## Important notice
The command line uses Python's JSON interpreter that is more restrictive (coherent with the JSOC spec), while the JavaScript json is more relaxed:
* All strings have to be written between quotes (""),
* Extra comma (,) not supported at end of lists or dictionaries
## AsciiDoctor example
An _AsciiDoctor_ example is provided to directly generate timing diagrams from _AsciiDoctor_ formatted documents.
%package -n python3-wavedrom
Summary: WaveDrom compatible python command line
Provides: python-wavedrom
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-wavedrom
# WaveDromPy
This is a python module and command line fully compatible with [WaveDrom](https://wavedrom.com/), which is originally implemented in JavaScript. It is useful if you want to generate wavedrom diagrams from a python environment or simply don't want to install the _Node.js_ environment just to use WaveDrom as simple command line.
WaveDromPy is for example used in [sphinxcontrib-wavedrom](https://pypi.org/project/sphinxcontrib-wavedrom/) to render wavedrom for Sphinx documentation. While the original project renders the diagrams in JavaScript in the browser, WaveDromPy renders them to SVG files.
This tool is a direct translation of original Javascript file _WaveDrom.js_ to Python. No extra feature added. We seek to have it fully compatible.
The tool _WaveDromPy_ directly converts _WaveDrom_ compatible JSON files into SVG format.
[](https://travis-ci.org/wallento/wavedrompy)
[](https://badge.fury.io/py/wavedrom)
## Installation
It is most easy to just install wavedrom via pip/pypi:
pip install wavedrom
Alternatively you can install the latest version from this repository:
pip install git+https://github.com/wallento/wavedrompy
or from your local copy:
pip install .
## Usage
You can either use the tool from Python:
import wavedrom
svg = wavedrom.render("""
{ "signal": [
{ "name": "CK", "wave": "P.......", "period": 2 },
{ "name": "CMD", "wave": "x.3x=x4x=x=x=x=x", "data": "RAS NOP CAS NOP NOP NOP NOP", "phase": 0.5 },
{ "name": "ADDR", "wave": "x.=x..=x........", "data": "ROW COL", "phase": 0.5 },
{ "name": "DQS", "wave": "z.......0.1010z." },
{ "name": "DQ", "wave": "z.........5555z.", "data": "D0 D1 D2 D3" }
]}""")
svg.saveas("demo1.svg")
This will render a waveform as:
You can find more examples [in the WaveDrom tutorial](https://wavedrom.com/tutorial.html).
A second feature is that WaveDrom can render logic circuit diagrams:
import wavedrom
svg = wavedrom.render("""
{ "assign":[
["out",
["|",
["&", ["~", "a"], "b"],
["&", ["~", "b"], "a"]
]
]
]}""")
svg.saveas("demo2.svg")
This will render a as:
You can find more examples [in the WaveDrom tutorial2](https://wavedrom.com/tutorial2.html).
Finally, wavedrom can draw registers as bitfields:
import wavedrom
svg = wavedrom.render("""
{"reg": [
{ "name": "IPO", "bits": 8, "attr": "RO" },
{ "bits": 7 },
{ "name": "<o>B</o><b>R<i>K</i></b>", "bits": 5, "attr": "RW", "type": 4 },
{ "name": "CPK", "bits": 1 },
{ "name": "Clear", "bits": 3 },
{ "bits": 8 }
]
]}""")
svg.saveas("demo3.svg")
This will render as:
This mode is documented as part of the [bit-field](https://www.npmjs.com/package/bit-field) JavaScript package.
Alternatively, WaveDromPy can be called from the command line:
wavedrompy --input input.json --svg output.svg
## Important notice
The command line uses Python's JSON interpreter that is more restrictive (coherent with the JSOC spec), while the JavaScript json is more relaxed:
* All strings have to be written between quotes (""),
* Extra comma (,) not supported at end of lists or dictionaries
## AsciiDoctor example
An _AsciiDoctor_ example is provided to directly generate timing diagrams from _AsciiDoctor_ formatted documents.
%package help
Summary: Development documents and examples for wavedrom
Provides: python3-wavedrom-doc
%description help
# WaveDromPy
This is a python module and command line fully compatible with [WaveDrom](https://wavedrom.com/), which is originally implemented in JavaScript. It is useful if you want to generate wavedrom diagrams from a python environment or simply don't want to install the _Node.js_ environment just to use WaveDrom as simple command line.
WaveDromPy is for example used in [sphinxcontrib-wavedrom](https://pypi.org/project/sphinxcontrib-wavedrom/) to render wavedrom for Sphinx documentation. While the original project renders the diagrams in JavaScript in the browser, WaveDromPy renders them to SVG files.
This tool is a direct translation of original Javascript file _WaveDrom.js_ to Python. No extra feature added. We seek to have it fully compatible.
The tool _WaveDromPy_ directly converts _WaveDrom_ compatible JSON files into SVG format.
[](https://travis-ci.org/wallento/wavedrompy)
[](https://badge.fury.io/py/wavedrom)
## Installation
It is most easy to just install wavedrom via pip/pypi:
pip install wavedrom
Alternatively you can install the latest version from this repository:
pip install git+https://github.com/wallento/wavedrompy
or from your local copy:
pip install .
## Usage
You can either use the tool from Python:
import wavedrom
svg = wavedrom.render("""
{ "signal": [
{ "name": "CK", "wave": "P.......", "period": 2 },
{ "name": "CMD", "wave": "x.3x=x4x=x=x=x=x", "data": "RAS NOP CAS NOP NOP NOP NOP", "phase": 0.5 },
{ "name": "ADDR", "wave": "x.=x..=x........", "data": "ROW COL", "phase": 0.5 },
{ "name": "DQS", "wave": "z.......0.1010z." },
{ "name": "DQ", "wave": "z.........5555z.", "data": "D0 D1 D2 D3" }
]}""")
svg.saveas("demo1.svg")
This will render a waveform as:
You can find more examples [in the WaveDrom tutorial](https://wavedrom.com/tutorial.html).
A second feature is that WaveDrom can render logic circuit diagrams:
import wavedrom
svg = wavedrom.render("""
{ "assign":[
["out",
["|",
["&", ["~", "a"], "b"],
["&", ["~", "b"], "a"]
]
]
]}""")
svg.saveas("demo2.svg")
This will render a as:
You can find more examples [in the WaveDrom tutorial2](https://wavedrom.com/tutorial2.html).
Finally, wavedrom can draw registers as bitfields:
import wavedrom
svg = wavedrom.render("""
{"reg": [
{ "name": "IPO", "bits": 8, "attr": "RO" },
{ "bits": 7 },
{ "name": "<o>B</o><b>R<i>K</i></b>", "bits": 5, "attr": "RW", "type": 4 },
{ "name": "CPK", "bits": 1 },
{ "name": "Clear", "bits": 3 },
{ "bits": 8 }
]
]}""")
svg.saveas("demo3.svg")
This will render as:
This mode is documented as part of the [bit-field](https://www.npmjs.com/package/bit-field) JavaScript package.
Alternatively, WaveDromPy can be called from the command line:
wavedrompy --input input.json --svg output.svg
## Important notice
The command line uses Python's JSON interpreter that is more restrictive (coherent with the JSOC spec), while the JavaScript json is more relaxed:
* All strings have to be written between quotes (""),
* Extra comma (,) not supported at end of lists or dictionaries
## AsciiDoctor example
An _AsciiDoctor_ example is provided to directly generate timing diagrams from _AsciiDoctor_ formatted documents.
%prep
%autosetup -n wavedrom-2.0.3.post3
%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-wavedrom -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.3.post3-1
- Package Spec generated
|
