text: # coding: utf-8
  
  """
      IBM Cohort Engine
  
      Service to evaluate cohorts and measures  # noqa: E501
  
      OpenAPI spec version: 0.0.1 2021-07-22T12:47:28Z
      
      Generated by: https://github.com/swagger-api/swagger-codegen.git
  """
  
  
  import pprint
  import re  # noqa: F401
  
  import six
  
  from swagger_client.configuration import Configuration
  
  
  class MeasureParameterInfoList(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 = {
          'parameter_info_list': 'list[MeasureParameterInfo]'
      }
  
      attribute_map = {
          'parameter_info_list': 'parameterInfoList'
      }
  
      def __init__(self, parameter_info_list=None, _configuration=None):  # noqa: E501
          """MeasureParameterInfoList - a model defined in Swagger"""  # noqa: E501
          if _configuration is None:
              _configuration = Configuration()
          self._configuration = _configuration
  
          self._parameter_info_list = None
          self.discriminator = None
  
          self.parameter_info_list = parameter_info_list
  
      @property
      def parameter_info_list(self):
          """Gets the parameter_info_list of this MeasureParameterInfoList.  # noqa: E501
  
          A list of parameter information objects for libraries referenced by the input measure  # noqa: E501
  
          :return: The parameter_info_list of this MeasureParameterInfoList.  # noqa: E501
          :rtype: list[MeasureParameterInfo]
          """
          return self._parameter_info_list
  
      @parameter_info_list.setter
      def parameter_info_list(self, parameter_info_list):
          """Sets the parameter_info_list of this MeasureParameterInfoList.
  
          A list of parameter information objects for libraries referenced by the input measure  # noqa: E501
  
          :param parameter_info_list: The parameter_info_list of this MeasureParameterInfoList.  # noqa: E501
          :type: list[MeasureParameterInfo]
          """
          if self._configuration.client_side_validation and parameter_info_list is None:
              raise ValueError("Invalid value for `parameter_info_list`, must not be `None`")  # noqa: E501
  
          self._parameter_info_list = parameter_info_list
  
      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(MeasureParameterInfoList, 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, MeasureParameterInfoList):
              return False
  
          return self.to_dict() == other.to_dict()
  
      def __ne__(self, other):
          """Returns true if both objects are not equal"""
          if not isinstance(other, MeasureParameterInfoList):
              return True
  
          return self.to_dict() != other.to_dict()
  