File: //snap/google-cloud-cli/current/lib/third_party/kubernetes/client/models/v1_initializer.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 V1Initializer(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 = {'name': 'str'}
  attribute_map = {'name': 'name'}
  def __init__(self, name=None):
    """
        V1Initializer - a model defined in Swagger
        """
    self._name = None
    self.discriminator = None
    self.name = name
  @property
  def name(self):
    """
        Gets the name of this V1Initializer.
        name of the process that is responsible for initializing this object.
        :return: The name of this V1Initializer.
        :rtype: str
        """
    return self._name
  @name.setter
  def name(self, name):
    """
        Sets the name of this V1Initializer.
        name of the process that is responsible for initializing this object.
        :param name: The name of this V1Initializer.
        :type: str
        """
    if name is None:
      raise ValueError('Invalid value for `name`, must not be `None`')
    self._name = name
  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, V1Initializer):
      return False
    return self.__dict__ == other.__dict__
  def __ne__(self, other):
    """
        Returns true if both objects are not equal
        """
    return not self == other