Merge branch 'main' into ghp/mkdocs-migration

skema/gromet/metadata/bibjson.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """

skema/gromet/metadata/code_file_reference.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """

skema/gromet/metadata/comment_type.py

@@ -0,0 +1,90 @@
+# coding: utf-8
+
+"""
+    GroMEt Metadata spec
+
+    Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
+
+    OpenAPI spec version: 0.1.7
+    Contact: [email protected]
+    Generated by: https://github.com/swagger-api/swagger-codegen.git
+"""
+
+import pprint
+import re  # noqa: F401
+
+import six
+
+class CommentType(object):
+    """NOTE: This class is auto generated by the swagger code generator program.
+
+    Do not edit the class manually.
+    """
+
+    """
+    allowed enum values
+    """
+    DOCSTRING = "DOCSTRING"
+    OTHER = "OTHER"
+    """
+    Attributes:
+      swagger_types (dict): The key is attribute name
+                            and the value is attribute type.
+      attribute_map (dict): The key is attribute name
+                            and the value is json key in definition.
+    """
+    swagger_types = {
+    }
+
+    attribute_map = {
+    }
+
+    def __init__(self):  # noqa: E501
+        """CommentType - a model defined in Swagger"""  # noqa: E501
+        self.discriminator = None
+
+    def to_dict(self):
+        """Returns the model properties as a dict"""
+        result = {}
+
+        for attr, _ in six.iteritems(self.swagger_types):
+            value = getattr(self, attr)
+            if isinstance(value, list):
+                result[attr] = list(map(
+                    lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
+                    value
+                ))
+            elif hasattr(value, "to_dict"):
+                result[attr] = value.to_dict()
+            elif isinstance(value, dict):
+                result[attr] = dict(map(
+                    lambda item: (item[0], item[1].to_dict())
+                    if hasattr(item[1], "to_dict") else item,
+                    value.items()
+                ))
+            else:
+                result[attr] = value
+        if issubclass(CommentType, dict):
+            for key, value in self.items():
+                result[key] = value
+
+        return result
+
+    def to_str(self):
+        """Returns the string representation of the model"""
+        return pprint.pformat(self.to_dict())
+
+    def __repr__(self):
+        """For `print` and `pprint`"""
+        return self.to_str()
+
+    def __eq__(self, other):
+        """Returns true if both objects are equal"""
+        if not isinstance(other, CommentType):
+            return False
+
+        return self.__dict__ == other.__dict__
+
+    def __ne__(self, other):
+        """Returns true if both objects are not equal"""
+        return not self == other

skema/gromet/metadata/equation_definition.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """

skema/gromet/metadata/equation_extraction.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """

skema/gromet/metadata/equation_literal_value.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """

skema/gromet/metadata/gromet_creation.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """
@@ -14,7 +14,7 @@
 import re  # noqa: F401
 
 import six
-from skema.gromet.metadata.metadata import Metadata  # noqa: F401,E501
+from skema.gromet.metadata.metadata  import Metadata  # noqa: F401,E501
 
 class GrometCreation(Metadata):
     """NOTE: This class is auto generated by the swagger code generator program.
@@ -42,7 +42,7 @@ class GrometCreation(Metadata):
     if hasattr(Metadata, "attribute_map"):
         attribute_map.update(Metadata.attribute_map)
 
-    def __init__(self, metadata_type='gromet_creation', gromet_version='0.1.6', *args, **kwargs):  # noqa: E501
+    def __init__(self, metadata_type='gromet_creation', gromet_version='0.1.2', *args, **kwargs):  # noqa: E501
         """GrometCreation - a model defined in Swagger"""  # noqa: E501
         self._metadata_type = None
         self._gromet_version = None

skema/gromet/metadata/literal_value.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """

skema/gromet/metadata/metadata.py

@@ -5,7 +5,7 @@
 
     Grounded Model Exchange (GroMEt) Metadata schema specification  __Using Swagger to Generate Class Structure__  To automatically generate Python or Java models corresponding to this document, you can use [swagger-codegen](https://swagger.io/tools/swagger-codegen/). We can use this to generate client code based off of this spec that will also generate the class structure.  1. Install via the method described for your operating system    [here](https://github.com/swagger-api/swagger-codegen#Prerequisites).    Make sure to install a version after 3.0 that will support openapi 3. 2. Run swagger-codegen with the options in the example below.    The URL references where the yaml for this documentation is stored on    github. Make sure to replace CURRENT_VERSION with the correct version.    (The current version is `0.1.4`.)    To generate Java classes rather, change the `-l python` to `-l java`.    Change the value to the `-o` option to the desired output location.    ```    swagger-codegen generate -l python -o ./client -i https://raw.githubusercontent.com/ml4ai/automates-v2/master/docs/source/gromet_metadata_v{CURRENT_VERSION}.yaml    ``` 3. Once it executes, the client code will be generated at your specified    location.    For python, the classes will be located in    `$OUTPUT_PATH/swagger_client/models/`.    For java, they will be located in    `$OUTPUT_PATH/src/main/java/io/swagger/client/model/`  If generating GroMEt Metadata schema data model classes in SKEMA (AutoMATES), then after generating the above, follow the instructions here: ``` <automates>/automates/model_assembly/gromet/metadata/README.md ```   # noqa: E501
 
-    OpenAPI spec version: 0.1.6
+    OpenAPI spec version: 0.1.7
     Contact: [email protected]
     Generated by: https://github.com/swagger-api/swagger-codegen.git
 """