Module mailslurp_client.models.ai_message_confidence

MailSlurp API

MailSlurp is an API for sending and receiving emails and SMS from dynamically allocated email addresses and phone numbers. It's designed for developers and QA teams to test applications, process inbound emails, send templated notifications, attachments, and more. ## Resources - Homepage - Get an API KEY - Generated SDK Clients - Examples repository # noqa: E501

The version of the OpenAPI document: 6.5.2 Contact: contact@mailslurp.dev Generated by: https://openapi-generator.tech

Classes

class AIMessageConfidence (score=None, method=None, calibrated=None, local_vars_configuration=None)

NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech

Do not edit the class manually.

AIMessageConfidence - a model defined in OpenAPI

Expand source code

class AIMessageConfidence(object):
    """NOTE: This class is auto generated by OpenAPI Generator.
    Ref: https://openapi-generator.tech

    Do not edit the class manually.
    """

    """
    Attributes:
      openapi_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.
    """
    openapi_types = {
        'score': 'float',
        'method': 'str',
        'calibrated': 'bool'
    }

    attribute_map = {
        'score': 'score',
        'method': 'method',
        'calibrated': 'calibrated'
    }

    def __init__(self, score=None, method=None, calibrated=None, local_vars_configuration=None):  # noqa: E501
        """AIMessageConfidence - a model defined in OpenAPI"""  # noqa: E501
        if local_vars_configuration is None:
            local_vars_configuration = Configuration()
        self.local_vars_configuration = local_vars_configuration

        self._score = None
        self._method = None
        self._calibrated = None
        self.discriminator = None

        self.score = score
        self.method = method
        self.calibrated = calibrated

    @property
    def score(self):
        """Gets the score of this AIMessageConfidence.  # noqa: E501


        :return: The score of this AIMessageConfidence.  # noqa: E501
        :rtype: float
        """
        return self._score

    @score.setter
    def score(self, score):
        """Sets the score of this AIMessageConfidence.


        :param score: The score of this AIMessageConfidence.  # noqa: E501
        :type: float
        """
        if self.local_vars_configuration.client_side_validation and score is None:  # noqa: E501
            raise ValueError("Invalid value for `score`, must not be `None`")  # noqa: E501

        self._score = score

    @property
    def method(self):
        """Gets the method of this AIMessageConfidence.  # noqa: E501


        :return: The method of this AIMessageConfidence.  # noqa: E501
        :rtype: str
        """
        return self._method

    @method.setter
    def method(self, method):
        """Sets the method of this AIMessageConfidence.


        :param method: The method of this AIMessageConfidence.  # noqa: E501
        :type: str
        """
        if self.local_vars_configuration.client_side_validation and method is None:  # noqa: E501
            raise ValueError("Invalid value for `method`, must not be `None`")  # noqa: E501
        allowed_values = ["MODEL_REPORTED"]  # noqa: E501
        if self.local_vars_configuration.client_side_validation and method not in allowed_values:  # noqa: E501
            raise ValueError(
                "Invalid value for `method` ({0}), must be one of {1}"  # noqa: E501
                .format(method, allowed_values)
            )

        self._method = method

    @property
    def calibrated(self):
        """Gets the calibrated of this AIMessageConfidence.  # noqa: E501


        :return: The calibrated of this AIMessageConfidence.  # noqa: E501
        :rtype: bool
        """
        return self._calibrated

    @calibrated.setter
    def calibrated(self, calibrated):
        """Sets the calibrated of this AIMessageConfidence.


        :param calibrated: The calibrated of this AIMessageConfidence.  # noqa: E501
        :type: bool
        """
        if self.local_vars_configuration.client_side_validation and calibrated is None:  # noqa: E501
            raise ValueError("Invalid value for `calibrated`, must not be `None`")  # noqa: E501

        self._calibrated = calibrated

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

        for attr, _ in six.iteritems(self.openapi_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 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, AIMessageConfidence):
            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, AIMessageConfidence):
            return True

        return self.to_dict() != other.to_dict()

Class variables

var attribute_map

var openapi_types

Instance variables

prop calibrated

Gets the calibrated of this AIMessageConfidence. # noqa: E501

:return: The calibrated of this AIMessageConfidence. # noqa: E501 :rtype: bool

Expand source code

@property
def calibrated(self):
    """Gets the calibrated of this AIMessageConfidence.  # noqa: E501


    :return: The calibrated of this AIMessageConfidence.  # noqa: E501
    :rtype: bool
    """
    return self._calibrated

prop method

Gets the method of this AIMessageConfidence. # noqa: E501

:return: The method of this AIMessageConfidence. # noqa: E501 :rtype: str

Expand source code

@property
def method(self):
    """Gets the method of this AIMessageConfidence.  # noqa: E501


    :return: The method of this AIMessageConfidence.  # noqa: E501
    :rtype: str
    """
    return self._method

prop score

Gets the score of this AIMessageConfidence. # noqa: E501

:return: The score of this AIMessageConfidence. # noqa: E501 :rtype: float

Expand source code

@property
def score(self):
    """Gets the score of this AIMessageConfidence.  # noqa: E501


    :return: The score of this AIMessageConfidence.  # noqa: E501
    :rtype: float
    """
    return self._score

Methods

def to_dict(self)

Returns the model properties as a dict

def to_str(self)

Returns the string representation of the model