HEX
Server: Apache/2.4.65 (Ubuntu)
System: Linux ielts-store-v2 6.8.0-1036-gcp #38~22.04.1-Ubuntu SMP Thu Aug 14 01:19:18 UTC 2025 x86_64
User: root (0)
PHP: 7.2.34-54+ubuntu20.04.1+deb.sury.org+1
Disabled: pcntl_alarm,pcntl_fork,pcntl_waitpid,pcntl_wait,pcntl_wifexited,pcntl_wifstopped,pcntl_wifsignaled,pcntl_wifcontinued,pcntl_wexitstatus,pcntl_wtermsig,pcntl_wstopsig,pcntl_signal,pcntl_signal_get_handler,pcntl_signal_dispatch,pcntl_get_last_error,pcntl_strerror,pcntl_sigprocmask,pcntl_sigwaitinfo,pcntl_sigtimedwait,pcntl_exec,pcntl_getpriority,pcntl_setpriority,pcntl_async_signals,
Upload Files
File: //snap/google-cloud-cli/394/lib/third_party/kubernetes/client/models/v1alpha1_runtime_class_spec.py
# coding: utf-8
"""
    Kubernetes

    No description provided (generated by Swagger Codegen
    https://github.com/swagger-api/swagger-codegen)

    OpenAPI spec version: v1.14.4

    Generated by: https://github.com/swagger-api/swagger-codegen.git
"""

from pprint import pformat
from six import iteritems
import re


class V1alpha1RuntimeClassSpec(object):
  """
    NOTE: This class is auto generated by the swagger code generator program.
    Do not edit the class manually.
    """
  """
    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 = {'runtime_handler': 'str'}

  attribute_map = {'runtime_handler': 'runtimeHandler'}

  def __init__(self, runtime_handler=None):
    """
        V1alpha1RuntimeClassSpec - a model defined in Swagger
        """

    self._runtime_handler = None
    self.discriminator = None

    self.runtime_handler = runtime_handler

  @property
  def runtime_handler(self):
    """
        Gets the runtime_handler of this V1alpha1RuntimeClassSpec.
        RuntimeHandler specifies the underlying runtime and configuration that
        the CRI implementation will use to handle pods of this class. The
        possible values are specific to the node & CRI configuration.  It is
        assumed that all handlers are available on every node, and handlers of
        the same name are equivalent on every node. For example, a handler
        called \"runc\" might specify that the runc OCI runtime (using native
        Linux containers) will be used to run the containers in a pod. The
        RuntimeHandler must conform to the DNS Label (RFC 1123) requirements and
        is immutable.

        :return: The runtime_handler of this V1alpha1RuntimeClassSpec.
        :rtype: str
        """
    return self._runtime_handler

  @runtime_handler.setter
  def runtime_handler(self, runtime_handler):
    """
        Sets the runtime_handler of this V1alpha1RuntimeClassSpec.
        RuntimeHandler specifies the underlying runtime and configuration that
        the CRI implementation will use to handle pods of this class. The
        possible values are specific to the node & CRI configuration.  It is
        assumed that all handlers are available on every node, and handlers of
        the same name are equivalent on every node. For example, a handler
        called \"runc\" might specify that the runc OCI runtime (using native
        Linux containers) will be used to run the containers in a pod. The
        RuntimeHandler must conform to the DNS Label (RFC 1123) requirements and
        is immutable.

        :param runtime_handler: The runtime_handler of this
        V1alpha1RuntimeClassSpec.
        :type: str
        """
    if runtime_handler is None:
      raise ValueError(
          'Invalid value for `runtime_handler`, must not be `None`')

    self._runtime_handler = runtime_handler

  def to_dict(self):
    """
        Returns the model properties as a dict
        """
    result = {}

    for attr, _ in 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

    return result

  def to_str(self):
    """
        Returns the string representation of the model
        """
    return 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, V1alpha1RuntimeClassSpec):
      return False

    return self.__dict__ == other.__dict__

  def __ne__(self, other):
    """
        Returns true if both objects are not equal
        """
    return not self == other