automatic import of python-cow-csvw

3 files changed, 524 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..9047f21 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/cow_csvw-1.21.tar.gz
diff --git a/python-cow-csvw.spec b/python-cow-csvw.spec
new file mode 100644
index 0000000..b51e06e
--- /dev/null
+++ b/python-cow-csvw.spec
@@ -0,0 +1,522 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-cow-csvw
+Version:	1.21
+Release:	1
+Summary:	Integrated CSV to RDF converter, using CSVW and nanopublications
+License:	MIT
+URL:		https://github.com/CLARIAH/COW
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/8d/c4/96a4c09c6fef23cf46ea16f38ce46ef72831685140950207e4006e43828b/cow_csvw-1.21.tar.gz
+BuildArch:	noarch
+
+
+%description
+## CoW: Integrated CSV to RDF Converter
+
+> CoW (Csv on the Web) is an integrated CSV to RDF converter that uses the W3C standard [CSVW](https://www.w3.org/TR/tabular-data-primer/) for rich semantic table specificatons, and [nanopublications](http://nanopub.org/) as an output RDF model
+
+
+
+### What is CoW
+
+CoW is a command-line utility to convert any CSV file into an RDF dataset. Its distinctive features are:
+
+- Expressive CSVW-compatible schemas based on the [Jinja](https://github.com/pallets/jinja) template enginge
+- Highly efficient implementation leveraging multithreaded and multicore architectures
+- Available as a pythonic [CLI tool](#cli), [library](#library), and [web service](#web-service)
+- Supports Python 3
+
+### Documentation and support
+For user documentation see the basic introduction video https://t.co/SDWC3NhWZf and [wiki](https://github.com/clariah/cow/wiki/). Technical details are provided below. If you encounter an issue then please [report](https://github.com/CLARIAH/COW/issues/new/choose) it. Also feel free to create pull requests!
+
+### Install (requires Python to be installed)
+
+`pip3` is the recommended method of installing COW in your system:
+
+```
+pip3 install cow-csvw
+```
+
+You can upgrade your currently installed version with:
+
+```
+pip3 install cow-csvw --upgrade
+```
+
+Possible issues:
+
+- Permission issues. You can get around them by installing CoW in user space: `pip3 install cow-csvw --user`. Make sure your binary user directory (typically something like `/Users/user/Library/Python/3.7/bin` in MacOS or `/home/user/.local/bin` in Linux) is in your PATH (in MacOS: `/etc/paths`. For Windows/MacOS we recommend to install Python via the [official distribution page](https://www.python.org/downloads/). You can also use [virtualenv](https://virtualenv.pypa.io/en/latest/) to avoid conflicts with your system libraries
+- Please [report your unlisted issue](https://github.com/CLARIAH/CoW/issues/new)
+
+If you can't/don't want to deal with installing CoW, you can use the [cattle](http://cattle.datalegend.net/) [web service version](#web-service) (deprecated).
+
+### Usage
+
+#### CLI
+
+The CLI (command line interface) is the recommended way of using CoW for most users. The straightforward CSV to RDF conversion is done in two steps. First:
+
+```
+cow_tool build myfile.csv
+```
+
+This will create a file named `myfile.csv-metadata.json` (from now on: JSON schema file or just JSF). You don't need to worry about this file if you only want a syntactic conversion. Then:
+
+```
+cow_tool convert myfile.csv
+```
+
+Will output a `myfile.csv.nq` RDF file (nquads by default; you can control the output RDF serialization with e.g. ``--format turtle``). That's it!
+
+If you want to control the base URI namespace, URIs used in predicates, virtual columns, and the many other features of CoW, you'll need to edit the `myfile.csv-metadata.json` JSF and/or use CoW arguments. Have a look at the [CLI options](#options) below, the examples in the [wiki](https://github.com/CLARIAH/CoW/wiki), and the [technical documentation](http://csvw-converter.readthedocs.io/en/latest/).
+
+##### Options
+
+Check the ``--help`` for a complete list of options:
+
+```
+usage: cow_tool [-h] [--dataset DATASET] [--delimiter DELIMITER]
+                [--quotechar QUOTECHAR] [--encoding ENCODING] [--processes PROCESSES]
+                [--chunksize CHUNKSIZE] [--base BASE]
+                [--format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]]
+				[--gzip] [--version]
+                {convert,build} file [file ...]
+
+Not nearly CSVW compliant schema builder and RDF converter
+
+positional arguments:
+  {convert,build}       Use the schema of the `file` specified to convert it
+                        to RDF, or build a schema from scratch.
+  file                  Path(s) of the file(s) that should be used for
+                        building or converting. Must be a CSV file.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --dataset DATASET     A short name (slug) for the name of the dataset (will
+                        use input file name if not specified)
+  --delimiter DELIMITER
+                        The delimiter used in the CSV file(s)
+  --quotechar QUOTECHAR
+                        The character used as quotation character in the CSV
+                        file(s)
+  --encoding ENCODING   The character encoding used in the CSV file(s)
+
+  --processes PROCESSES
+                        The number of processes the converter should use
+  --chunksize CHUNKSIZE
+                        The number of rows processed at each time
+  --base BASE           The base for URIs generated with the schema (only
+                        relevant when `build`ing a schema)
+  --gzip 				Compress the output file using gzip
+  --format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}], -f [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]
+                        RDF serialization format
+  --version             show program's version number and exit
+```
+
+#### Web service
+
+There is web service and interface running CoW, called [cattle](http://cattle.datalegend.net/). Two public instances are running at:
+
+- http://cattle.datalegend.net/ - runs CoW in Python3
+- http://legacy.cattle.datalegend.net/ - runs CoW in Python2 for legacy reasons
+
+Beware of the web service limitations:
+
+- There's a limit to the size of the CSVs you can upload
+- It's a public instance, so your conversion could take longer
+- Cattle is no longer being maintained and these public instances will eventually be taken offline
+
+#### Library
+
+Once installed, CoW can be used as a library as follows:
+
+```
+from cow_csvw.csvw_tool import COW
+import os
+
+COW(mode='build', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"')
+
+COW(mode='convert', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"', processes=4, chunksize=100, base='http://example.org/my-dataset', format='turtle', gzipped=False)
+```
+
+### Technical documentation
+
+Technical documentation for CoW are maintained in this GitHub repository (under <docs>), and published through [Read the Docs](http://readthedocs.org) at <http://csvw-converter.readthedocs.io/en/latest/>.
+
+To build the documentation from source, change into the `docs` directory, and run `make html`. This should produce an HTML version of the documentation in the `_build/html` directory.
+
+### Examples
+
+The [wiki](https://github.com/CLARIAH/COW/wiki) provides more hands-on examples of transposing CSVs into Linked Data
+
+### License
+
+MIT License (see [license.txt](license.txt))
+
+### Acknowledgements
+
+**Authors:**    Albert Meroño-Peñuela, Roderick van der Weerdt, Rinke Hoekstra, Kathrin Dentler, Auke Rijpma, Richard Zijdeman, Melvin Roest, Xander Wilcke
+
+**Copyright:**  Vrije Universiteit Amsterdam, Utrecht University, International Institute of Social History
+
+
+CoW is developed and maintained by the CLARIAH project and funded by NWO.
+
+
+%package -n python3-cow-csvw
+Summary:	Integrated CSV to RDF converter, using CSVW and nanopublications
+Provides:	python-cow-csvw
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-cow-csvw
+## CoW: Integrated CSV to RDF Converter
+
+> CoW (Csv on the Web) is an integrated CSV to RDF converter that uses the W3C standard [CSVW](https://www.w3.org/TR/tabular-data-primer/) for rich semantic table specificatons, and [nanopublications](http://nanopub.org/) as an output RDF model
+
+
+
+### What is CoW
+
+CoW is a command-line utility to convert any CSV file into an RDF dataset. Its distinctive features are:
+
+- Expressive CSVW-compatible schemas based on the [Jinja](https://github.com/pallets/jinja) template enginge
+- Highly efficient implementation leveraging multithreaded and multicore architectures
+- Available as a pythonic [CLI tool](#cli), [library](#library), and [web service](#web-service)
+- Supports Python 3
+
+### Documentation and support
+For user documentation see the basic introduction video https://t.co/SDWC3NhWZf and [wiki](https://github.com/clariah/cow/wiki/). Technical details are provided below. If you encounter an issue then please [report](https://github.com/CLARIAH/COW/issues/new/choose) it. Also feel free to create pull requests!
+
+### Install (requires Python to be installed)
+
+`pip3` is the recommended method of installing COW in your system:
+
+```
+pip3 install cow-csvw
+```
+
+You can upgrade your currently installed version with:
+
+```
+pip3 install cow-csvw --upgrade
+```
+
+Possible issues:
+
+- Permission issues. You can get around them by installing CoW in user space: `pip3 install cow-csvw --user`. Make sure your binary user directory (typically something like `/Users/user/Library/Python/3.7/bin` in MacOS or `/home/user/.local/bin` in Linux) is in your PATH (in MacOS: `/etc/paths`. For Windows/MacOS we recommend to install Python via the [official distribution page](https://www.python.org/downloads/). You can also use [virtualenv](https://virtualenv.pypa.io/en/latest/) to avoid conflicts with your system libraries
+- Please [report your unlisted issue](https://github.com/CLARIAH/CoW/issues/new)
+
+If you can't/don't want to deal with installing CoW, you can use the [cattle](http://cattle.datalegend.net/) [web service version](#web-service) (deprecated).
+
+### Usage
+
+#### CLI
+
+The CLI (command line interface) is the recommended way of using CoW for most users. The straightforward CSV to RDF conversion is done in two steps. First:
+
+```
+cow_tool build myfile.csv
+```
+
+This will create a file named `myfile.csv-metadata.json` (from now on: JSON schema file or just JSF). You don't need to worry about this file if you only want a syntactic conversion. Then:
+
+```
+cow_tool convert myfile.csv
+```
+
+Will output a `myfile.csv.nq` RDF file (nquads by default; you can control the output RDF serialization with e.g. ``--format turtle``). That's it!
+
+If you want to control the base URI namespace, URIs used in predicates, virtual columns, and the many other features of CoW, you'll need to edit the `myfile.csv-metadata.json` JSF and/or use CoW arguments. Have a look at the [CLI options](#options) below, the examples in the [wiki](https://github.com/CLARIAH/CoW/wiki), and the [technical documentation](http://csvw-converter.readthedocs.io/en/latest/).
+
+##### Options
+
+Check the ``--help`` for a complete list of options:
+
+```
+usage: cow_tool [-h] [--dataset DATASET] [--delimiter DELIMITER]
+                [--quotechar QUOTECHAR] [--encoding ENCODING] [--processes PROCESSES]
+                [--chunksize CHUNKSIZE] [--base BASE]
+                [--format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]]
+				[--gzip] [--version]
+                {convert,build} file [file ...]
+
+Not nearly CSVW compliant schema builder and RDF converter
+
+positional arguments:
+  {convert,build}       Use the schema of the `file` specified to convert it
+                        to RDF, or build a schema from scratch.
+  file                  Path(s) of the file(s) that should be used for
+                        building or converting. Must be a CSV file.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --dataset DATASET     A short name (slug) for the name of the dataset (will
+                        use input file name if not specified)
+  --delimiter DELIMITER
+                        The delimiter used in the CSV file(s)
+  --quotechar QUOTECHAR
+                        The character used as quotation character in the CSV
+                        file(s)
+  --encoding ENCODING   The character encoding used in the CSV file(s)
+
+  --processes PROCESSES
+                        The number of processes the converter should use
+  --chunksize CHUNKSIZE
+                        The number of rows processed at each time
+  --base BASE           The base for URIs generated with the schema (only
+                        relevant when `build`ing a schema)
+  --gzip 				Compress the output file using gzip
+  --format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}], -f [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]
+                        RDF serialization format
+  --version             show program's version number and exit
+```
+
+#### Web service
+
+There is web service and interface running CoW, called [cattle](http://cattle.datalegend.net/). Two public instances are running at:
+
+- http://cattle.datalegend.net/ - runs CoW in Python3
+- http://legacy.cattle.datalegend.net/ - runs CoW in Python2 for legacy reasons
+
+Beware of the web service limitations:
+
+- There's a limit to the size of the CSVs you can upload
+- It's a public instance, so your conversion could take longer
+- Cattle is no longer being maintained and these public instances will eventually be taken offline
+
+#### Library
+
+Once installed, CoW can be used as a library as follows:
+
+```
+from cow_csvw.csvw_tool import COW
+import os
+
+COW(mode='build', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"')
+
+COW(mode='convert', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"', processes=4, chunksize=100, base='http://example.org/my-dataset', format='turtle', gzipped=False)
+```
+
+### Technical documentation
+
+Technical documentation for CoW are maintained in this GitHub repository (under <docs>), and published through [Read the Docs](http://readthedocs.org) at <http://csvw-converter.readthedocs.io/en/latest/>.
+
+To build the documentation from source, change into the `docs` directory, and run `make html`. This should produce an HTML version of the documentation in the `_build/html` directory.
+
+### Examples
+
+The [wiki](https://github.com/CLARIAH/COW/wiki) provides more hands-on examples of transposing CSVs into Linked Data
+
+### License
+
+MIT License (see [license.txt](license.txt))
+
+### Acknowledgements
+
+**Authors:**    Albert Meroño-Peñuela, Roderick van der Weerdt, Rinke Hoekstra, Kathrin Dentler, Auke Rijpma, Richard Zijdeman, Melvin Roest, Xander Wilcke
+
+**Copyright:**  Vrije Universiteit Amsterdam, Utrecht University, International Institute of Social History
+
+
+CoW is developed and maintained by the CLARIAH project and funded by NWO.
+
+
+%package help
+Summary:	Development documents and examples for cow-csvw
+Provides:	python3-cow-csvw-doc
+%description help
+## CoW: Integrated CSV to RDF Converter
+
+> CoW (Csv on the Web) is an integrated CSV to RDF converter that uses the W3C standard [CSVW](https://www.w3.org/TR/tabular-data-primer/) for rich semantic table specificatons, and [nanopublications](http://nanopub.org/) as an output RDF model
+
+
+
+### What is CoW
+
+CoW is a command-line utility to convert any CSV file into an RDF dataset. Its distinctive features are:
+
+- Expressive CSVW-compatible schemas based on the [Jinja](https://github.com/pallets/jinja) template enginge
+- Highly efficient implementation leveraging multithreaded and multicore architectures
+- Available as a pythonic [CLI tool](#cli), [library](#library), and [web service](#web-service)
+- Supports Python 3
+
+### Documentation and support
+For user documentation see the basic introduction video https://t.co/SDWC3NhWZf and [wiki](https://github.com/clariah/cow/wiki/). Technical details are provided below. If you encounter an issue then please [report](https://github.com/CLARIAH/COW/issues/new/choose) it. Also feel free to create pull requests!
+
+### Install (requires Python to be installed)
+
+`pip3` is the recommended method of installing COW in your system:
+
+```
+pip3 install cow-csvw
+```
+
+You can upgrade your currently installed version with:
+
+```
+pip3 install cow-csvw --upgrade
+```
+
+Possible issues:
+
+- Permission issues. You can get around them by installing CoW in user space: `pip3 install cow-csvw --user`. Make sure your binary user directory (typically something like `/Users/user/Library/Python/3.7/bin` in MacOS or `/home/user/.local/bin` in Linux) is in your PATH (in MacOS: `/etc/paths`. For Windows/MacOS we recommend to install Python via the [official distribution page](https://www.python.org/downloads/). You can also use [virtualenv](https://virtualenv.pypa.io/en/latest/) to avoid conflicts with your system libraries
+- Please [report your unlisted issue](https://github.com/CLARIAH/CoW/issues/new)
+
+If you can't/don't want to deal with installing CoW, you can use the [cattle](http://cattle.datalegend.net/) [web service version](#web-service) (deprecated).
+
+### Usage
+
+#### CLI
+
+The CLI (command line interface) is the recommended way of using CoW for most users. The straightforward CSV to RDF conversion is done in two steps. First:
+
+```
+cow_tool build myfile.csv
+```
+
+This will create a file named `myfile.csv-metadata.json` (from now on: JSON schema file or just JSF). You don't need to worry about this file if you only want a syntactic conversion. Then:
+
+```
+cow_tool convert myfile.csv
+```
+
+Will output a `myfile.csv.nq` RDF file (nquads by default; you can control the output RDF serialization with e.g. ``--format turtle``). That's it!
+
+If you want to control the base URI namespace, URIs used in predicates, virtual columns, and the many other features of CoW, you'll need to edit the `myfile.csv-metadata.json` JSF and/or use CoW arguments. Have a look at the [CLI options](#options) below, the examples in the [wiki](https://github.com/CLARIAH/CoW/wiki), and the [technical documentation](http://csvw-converter.readthedocs.io/en/latest/).
+
+##### Options
+
+Check the ``--help`` for a complete list of options:
+
+```
+usage: cow_tool [-h] [--dataset DATASET] [--delimiter DELIMITER]
+                [--quotechar QUOTECHAR] [--encoding ENCODING] [--processes PROCESSES]
+                [--chunksize CHUNKSIZE] [--base BASE]
+                [--format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]]
+				[--gzip] [--version]
+                {convert,build} file [file ...]
+
+Not nearly CSVW compliant schema builder and RDF converter
+
+positional arguments:
+  {convert,build}       Use the schema of the `file` specified to convert it
+                        to RDF, or build a schema from scratch.
+  file                  Path(s) of the file(s) that should be used for
+                        building or converting. Must be a CSV file.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  --dataset DATASET     A short name (slug) for the name of the dataset (will
+                        use input file name if not specified)
+  --delimiter DELIMITER
+                        The delimiter used in the CSV file(s)
+  --quotechar QUOTECHAR
+                        The character used as quotation character in the CSV
+                        file(s)
+  --encoding ENCODING   The character encoding used in the CSV file(s)
+
+  --processes PROCESSES
+                        The number of processes the converter should use
+  --chunksize CHUNKSIZE
+                        The number of rows processed at each time
+  --base BASE           The base for URIs generated with the schema (only
+                        relevant when `build`ing a schema)
+  --gzip 				Compress the output file using gzip
+  --format [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}], -f [{xml,n3,turtle,nt,pretty-xml,trix,trig,nquads}]
+                        RDF serialization format
+  --version             show program's version number and exit
+```
+
+#### Web service
+
+There is web service and interface running CoW, called [cattle](http://cattle.datalegend.net/). Two public instances are running at:
+
+- http://cattle.datalegend.net/ - runs CoW in Python3
+- http://legacy.cattle.datalegend.net/ - runs CoW in Python2 for legacy reasons
+
+Beware of the web service limitations:
+
+- There's a limit to the size of the CSVs you can upload
+- It's a public instance, so your conversion could take longer
+- Cattle is no longer being maintained and these public instances will eventually be taken offline
+
+#### Library
+
+Once installed, CoW can be used as a library as follows:
+
+```
+from cow_csvw.csvw_tool import COW
+import os
+
+COW(mode='build', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"')
+
+COW(mode='convert', files=[os.path.join(path, filename)], dataset='My dataset', delimiter=';', quotechar='\"', processes=4, chunksize=100, base='http://example.org/my-dataset', format='turtle', gzipped=False)
+```
+
+### Technical documentation
+
+Technical documentation for CoW are maintained in this GitHub repository (under <docs>), and published through [Read the Docs](http://readthedocs.org) at <http://csvw-converter.readthedocs.io/en/latest/>.
+
+To build the documentation from source, change into the `docs` directory, and run `make html`. This should produce an HTML version of the documentation in the `_build/html` directory.
+
+### Examples
+
+The [wiki](https://github.com/CLARIAH/COW/wiki) provides more hands-on examples of transposing CSVs into Linked Data
+
+### License
+
+MIT License (see [license.txt](license.txt))
+
+### Acknowledgements
+
+**Authors:**    Albert Meroño-Peñuela, Roderick van der Weerdt, Rinke Hoekstra, Kathrin Dentler, Auke Rijpma, Richard Zijdeman, Melvin Roest, Xander Wilcke
+
+**Copyright:**  Vrije Universiteit Amsterdam, Utrecht University, International Institute of Social History
+
+
+CoW is developed and maintained by the CLARIAH project and funded by NWO.
+
+
+%prep
+%autosetup -n cow-csvw-1.21
+
+%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-cow-csvw -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.21-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..69a7487
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+611568a8fbceb4a2f9f54ce50147415d  cow_csvw-1.21.tar.gz