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This Python code defines a class V1PolicyRule representing a Kubernetes policy rule. The class is generated by OpenAPI Generator, a tool for automatically generating client libraries for REST APIs.

Here’s a breakdown of the code:

Class Definition:

• V1PolicyRule: The class represents a Kubernetes policy rule that defines access control for resources.

Attributes:

• openapi_types: A dictionary mapping attribute names to their corresponding data types. This is used for type checking and serialization.
• attribute_map: A dictionary mapping attribute names to their corresponding JSON keys in the API definition. This is used for serialization and deserialization.
• api_groups: A list of API group names that this rule applies to. “*” represents all groups.
• non_resource_ur_ls: A list of partial URLs that this rule grants access to. These are not namespaced and only applicable for ClusterRoles.
• resource_names: An optional white list of resource names that this rule applies to.
• resources: A list of resource types that this rule applies to. “*” represents all resources.
• verbs: A list of HTTP verbs (e.g., “get”, “create”) that this rule allows.

Constructor:

• The constructor takes optional arguments for each attribute and initializes them.

Property Accessors (@property):

• For each attribute, @property decorators are used to define getter and setter methods. These ensure proper attribute validation and provide a consistent way to access attribute values.

to_dict():

• This method converts the object into a dictionary representation, suitable for serialization into JSON.

to_str():

• This method returns a string representation of the object, formatted using pprint for readability.

__repr__():

• Defines the string representation of the object used when it’s printed.

__eq__():

• Defines equality comparison between two V1PolicyRule objects, based on their dictionary representations.

__ne__():

• Defines inequality comparison between two V1PolicyRule objects.

Key Points:

• The class relies on OpenAPI Generator for code generation, streamlining API interaction.
• The code follows Python’s best practices for attribute access, validation, and object representation.
• The code uses a combination of lists and strings to define access rules, which is consistent with Kubernetes API specifications.

This code serves as a model for defining and manipulating Kubernetes policy rules within a Python environment. The structure and functionalities allow for easy integration with the Kubernetes API and implementation of granular access control policies.