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authorCoprDistGit <infra@openeuler.org>2023-05-05 09:48:10 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-05 09:48:10 +0000
commitdf06e2b905a419f6776b797cdfee09b47783c39f (patch)
tree0bafc461567dd0941e1fe9cd1cb85c256f0f7a68
parent52fb1375d016c028cfe4edc7a5938545b0936c85 (diff)
automatic import of python-wavedromopeneuler20.03
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-rw-r--r--python-wavedrom.spec387
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+/wavedrom-2.0.3.post3.tar.gz
diff --git a/python-wavedrom.spec b/python-wavedrom.spec
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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.
+
+[![Build Status](https://travis-ci.org/wallento/wavedrompy.svg?branch=master)](https://travis-ci.org/wallento/wavedrompy)
+[![PyPI version](https://badge.fury.io/py/wavedrom.svg)](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:
+
+![Example 1](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo1.svg?sanitize=true "Example 1")
+
+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:
+
+![Example 2](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo2.svg?sanitize=true "Example 2")
+
+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:
+
+![Example 3](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo3.svg?sanitize=true "Example 3")
+
+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.
+
+[![Build Status](https://travis-ci.org/wallento/wavedrompy.svg?branch=master)](https://travis-ci.org/wallento/wavedrompy)
+[![PyPI version](https://badge.fury.io/py/wavedrom.svg)](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:
+
+![Example 1](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo1.svg?sanitize=true "Example 1")
+
+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:
+
+![Example 2](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo2.svg?sanitize=true "Example 2")
+
+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:
+
+![Example 3](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo3.svg?sanitize=true "Example 3")
+
+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.
+
+[![Build Status](https://travis-ci.org/wallento/wavedrompy.svg?branch=master)](https://travis-ci.org/wallento/wavedrompy)
+[![PyPI version](https://badge.fury.io/py/wavedrom.svg)](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:
+
+![Example 1](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo1.svg?sanitize=true "Example 1")
+
+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:
+
+![Example 2](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo2.svg?sanitize=true "Example 2")
+
+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:
+
+![Example 3](https://raw.githubusercontent.com/wallento/wavedrompy/2e8568d50561f534133d036fee3bd35756f416d9/doc/demo3.svg?sanitize=true "Example 3")
+
+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
diff --git a/sources b/sources
new file mode 100644
index 0000000..8539323
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+1fa386c34d9b6b59ba5e0b0556d5939b wavedrom-2.0.3.post3.tar.gz