automatic import of python-pyshaclopeneuler20.03

3 files changed, 30 insertions, 20 deletions

diff --git a/.gitignore b/.gitignore
index 4e53bbd..d0ed476 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 /pyshacl-0.21.0.tar.gz
+/pyshacl-0.22.0.tar.gz
diff --git a/python-pyshacl.spec b/python-pyshacl.spec
index 37b7cba..92aafcc 100644
--- a/python-pyshacl.spec
+++ b/python-pyshacl.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-pyshacl
-Version:	0.21.0
+Version:	0.22.0
 Release:	1
 Summary:	Python SHACL Validator
 License:	Apache-2.0
 URL:		https://github.com/RDFLib/pySHACL
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/55/0f/f96c0dc6fcc2d12cf352ea81eaa8d061b9afe47459ab73955448eecf0bc0/pyshacl-0.21.0.tar.gz
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f1/0d/8cebe682d77a5e307036099c173676a6b57a474a1123d25ee24b6e52600e/pyshacl-0.22.0.tar.gz
 BuildArch:	noarch
 
 Requires:	python3-black
@@ -100,7 +100,7 @@ usage: pyshacl [-h] [-s [SHACL]] [-e [ONT]] [-i {none,rdfs,owlrl,both}] [-m]
                [-ef {auto,turtle,xml,json-ld,nt,n3}] [-V] [-o [OUTPUT]]
                DataGraph
 
-PySHACL 0.21.0 command line tool.
+PySHACL 0.22.0 command line tool.
 
 positional arguments:
   DataGraph             The file containing the Target Data Graph.
@@ -112,7 +112,8 @@ optional arguments:
                         A file containing the SHACL Shapes Graph.
   -e [ONT], --ont-graph [ONT]
                         A file path or URL to a document containing extra
-                        ontological information to mix into the data graph.
+                        ontological information. RDFS and OWL definitions from this 
+                        are used to inoculate the DataGraph.
   -i {none,rdfs,owlrl,both}, --inference {none,rdfs,owlrl,both}
                         Choose a type of inferencing to run against the Data
                         Graph before validating.
@@ -171,7 +172,7 @@ conforms, results_graph, results_text = r
 Where:
 * `data_graph` is an rdflib `Graph` object or file path of the graph to be validated
 * `shacl_graph` is an rdflib `Graph` object or file path or Web URL of the graph containing the SHACL shapes to validate with, or None if the SHACL shapes are included in the data_graph.
-* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required.
+* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. RDFS and OWL definitions from this are used to inoculate the DataGraph.
 * `inference` is a Python string value to indicate whether or not to perform OWL inferencing expansion of the `data_graph` before validation.
 Options are 'rdfs', 'owlrl', 'both', or 'none'. The default is 'none'.
 * `abort_on_first` (optional) `bool` value to indicate whether or not the program should abort after encountering the first validation failure or to continue. Default is to continue.
@@ -207,7 +208,7 @@ You can get an equivalent of the Command Line Tool using the Python3 executable
 $ python3 -m pyshacl
 ```
 
-## Integrated OpenAPI3.0-compatible HTTP REST Service
+## Integrated OpenAPI-3.0-compatible HTTP REST Service
 
 PySHACL now has a built-in validation service, exposed via an OpenAPI3.0-compatible REST API.
 
@@ -227,6 +228,8 @@ $ pyshacl --server
 $ pyshacl_server
 # or
 $ python3 -m pyshacl server
+# or
+$ docker run --rm -e PYSHACL_SERVER=TRUE -i -t docker.io/ashleysommer/pyshacl:latest
 ```
 
 By default, this will run the service on localhost address `127.0.0.1` on port `8099`.
@@ -291,7 +294,7 @@ Or build the image yourself, from the PySHACL repository with `docker build . -t
 You can now run PySHACL inside a container; but you need to mount the data you want to validate.
 For example, to validate `graph.ttl` against `shacl.ttl`, run :
 ```bash
-docker run --rm --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl
+docker run --rm -i -t --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl
 ```
 
 ## Compatibility
@@ -424,7 +427,7 @@ usage: pyshacl [-h] [-s [SHACL]] [-e [ONT]] [-i {none,rdfs,owlrl,both}] [-m]
                [-ef {auto,turtle,xml,json-ld,nt,n3}] [-V] [-o [OUTPUT]]
                DataGraph
 
-PySHACL 0.21.0 command line tool.
+PySHACL 0.22.0 command line tool.
 
 positional arguments:
   DataGraph             The file containing the Target Data Graph.
@@ -436,7 +439,8 @@ optional arguments:
                         A file containing the SHACL Shapes Graph.
   -e [ONT], --ont-graph [ONT]
                         A file path or URL to a document containing extra
-                        ontological information to mix into the data graph.
+                        ontological information. RDFS and OWL definitions from this 
+                        are used to inoculate the DataGraph.
   -i {none,rdfs,owlrl,both}, --inference {none,rdfs,owlrl,both}
                         Choose a type of inferencing to run against the Data
                         Graph before validating.
@@ -495,7 +499,7 @@ conforms, results_graph, results_text = r
 Where:
 * `data_graph` is an rdflib `Graph` object or file path of the graph to be validated
 * `shacl_graph` is an rdflib `Graph` object or file path or Web URL of the graph containing the SHACL shapes to validate with, or None if the SHACL shapes are included in the data_graph.
-* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required.
+* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. RDFS and OWL definitions from this are used to inoculate the DataGraph.
 * `inference` is a Python string value to indicate whether or not to perform OWL inferencing expansion of the `data_graph` before validation.
 Options are 'rdfs', 'owlrl', 'both', or 'none'. The default is 'none'.
 * `abort_on_first` (optional) `bool` value to indicate whether or not the program should abort after encountering the first validation failure or to continue. Default is to continue.
@@ -531,7 +535,7 @@ You can get an equivalent of the Command Line Tool using the Python3 executable
 $ python3 -m pyshacl
 ```
 
-## Integrated OpenAPI3.0-compatible HTTP REST Service
+## Integrated OpenAPI-3.0-compatible HTTP REST Service
 
 PySHACL now has a built-in validation service, exposed via an OpenAPI3.0-compatible REST API.
 
@@ -551,6 +555,8 @@ $ pyshacl --server
 $ pyshacl_server
 # or
 $ python3 -m pyshacl server
+# or
+$ docker run --rm -e PYSHACL_SERVER=TRUE -i -t docker.io/ashleysommer/pyshacl:latest
 ```
 
 By default, this will run the service on localhost address `127.0.0.1` on port `8099`.
@@ -615,7 +621,7 @@ Or build the image yourself, from the PySHACL repository with `docker build . -t
 You can now run PySHACL inside a container; but you need to mount the data you want to validate.
 For example, to validate `graph.ttl` against `shacl.ttl`, run :
 ```bash
-docker run --rm --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl
+docker run --rm -i -t --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl
 ```
 
 ## Compatibility
@@ -745,7 +751,7 @@ usage: pyshacl [-h] [-s [SHACL]] [-e [ONT]] [-i {none,rdfs,owlrl,both}] [-m]
                [-ef {auto,turtle,xml,json-ld,nt,n3}] [-V] [-o [OUTPUT]]
                DataGraph
 
-PySHACL 0.21.0 command line tool.
+PySHACL 0.22.0 command line tool.
 
 positional arguments:
   DataGraph             The file containing the Target Data Graph.
@@ -757,7 +763,8 @@ optional arguments:
                         A file containing the SHACL Shapes Graph.
   -e [ONT], --ont-graph [ONT]
                         A file path or URL to a document containing extra
-                        ontological information to mix into the data graph.
+                        ontological information. RDFS and OWL definitions from this 
+                        are used to inoculate the DataGraph.
   -i {none,rdfs,owlrl,both}, --inference {none,rdfs,owlrl,both}
                         Choose a type of inferencing to run against the Data
                         Graph before validating.
@@ -816,7 +823,7 @@ conforms, results_graph, results_text = r
 Where:
 * `data_graph` is an rdflib `Graph` object or file path of the graph to be validated
 * `shacl_graph` is an rdflib `Graph` object or file path or Web URL of the graph containing the SHACL shapes to validate with, or None if the SHACL shapes are included in the data_graph.
-* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required.
+* `ont_graph` is an rdflib `Graph` object or file path or Web URL a graph containing extra ontological information, or None if not required. RDFS and OWL definitions from this are used to inoculate the DataGraph.
 * `inference` is a Python string value to indicate whether or not to perform OWL inferencing expansion of the `data_graph` before validation.
 Options are 'rdfs', 'owlrl', 'both', or 'none'. The default is 'none'.
 * `abort_on_first` (optional) `bool` value to indicate whether or not the program should abort after encountering the first validation failure or to continue. Default is to continue.
@@ -852,7 +859,7 @@ You can get an equivalent of the Command Line Tool using the Python3 executable
 $ python3 -m pyshacl
 ```
 
-## Integrated OpenAPI3.0-compatible HTTP REST Service
+## Integrated OpenAPI-3.0-compatible HTTP REST Service
 
 PySHACL now has a built-in validation service, exposed via an OpenAPI3.0-compatible REST API.
 
@@ -872,6 +879,8 @@ $ pyshacl --server
 $ pyshacl_server
 # or
 $ python3 -m pyshacl server
+# or
+$ docker run --rm -e PYSHACL_SERVER=TRUE -i -t docker.io/ashleysommer/pyshacl:latest
 ```
 
 By default, this will run the service on localhost address `127.0.0.1` on port `8099`.
@@ -936,7 +945,7 @@ Or build the image yourself, from the PySHACL repository with `docker build . -t
 You can now run PySHACL inside a container; but you need to mount the data you want to validate.
 For example, to validate `graph.ttl` against `shacl.ttl`, run :
 ```bash
-docker run --rm --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl
+docker run --rm -i -t --mount type=bind,src=`pwd`,dst=/data pyshacl -s /data/shacl.ttl /data/graph.ttl
 ```
 
 ## Compatibility
@@ -991,7 +1000,7 @@ Brisbane, Qld, Australia
 
 
 %prep
-%autosetup -n pyshacl-0.21.0
+%autosetup -n pyshacl-0.22.0
 
 %build
 %py3_build
@@ -1031,5 +1040,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.21.0-1
+* Tue Apr 25 2023 Python_Bot <Python_Bot@openeuler.org> - 0.22.0-1
 - Package Spec generated
diff --git a/sources b/sources
index 6cde577..664eaaa 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-6a170c27b6578ce75f13adf2364efba3  pyshacl-0.21.0.tar.gz
+c7371ae3fd36a3305e232df574481618  pyshacl-0.22.0.tar.gz