# coding: utf-8

"""
    Regula FaceSDK Web API

    Regula FaceSDK Web API # Clients * [JavaScript](https://github.com/regulaforensics/FaceSDK-web-js-client) client for the browser and node.js based on axios * [Java](https://github.com/regulaforensics/FaceSDK-web-java-client) client compatible with jvm and android * [Python](https://github.com/regulaforensics/FaceSDK-web-python-client) 3.5+ client * [C#](https://github.com/regulaforensics/FaceSDK-web-csharp-client) client for .NET & .NET Core   # noqa: E501

    The version of the OpenAPI document: 4.1.3
    Generated by: https://openapi-generator.tech
"""


import pprint
import re  # noqa: F401

import six

from regula.facesdk.webclient.gen.configuration import Configuration


class MatchAndSearchRequest(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 = {
        'images': '[MatchAndSearchRequestAllOfImages]',
        'limit': 'int',
        'threshold': 'float',
        'group_ids': '[int]',
    }

    attribute_map = {
        'images': 'images',
        'limit': 'limit',
        'threshold': 'threshold',
        'group_ids': 'group_ids',
    }

    def __init__(self, images=None, limit=100, threshold=None, group_ids=None, local_vars_configuration=None):  # noqa: E501
        """MatchAndSearchRequest - 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._images = None
        self._limit = None
        self._threshold = None
        self._group_ids = None
        self.discriminator = None

        if images is not None:
            self.images = images
        if limit is not None:
            self.limit = limit
        if threshold is not None:
            self.threshold = threshold
        if group_ids is not None:
            self.group_ids = group_ids

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


        :return: The images of this MatchAndSearchRequest.  # noqa: E501
        :rtype: [MatchAndSearchRequestAllOfImages]
        """
        return self._images

    @images.setter
    def images(self, images):
        """Sets the images of this MatchAndSearchRequest.


        :param images: The images of this MatchAndSearchRequest.  # noqa: E501
        :type images: [MatchAndSearchRequestAllOfImages]
        """

        self._images = images

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

        The number of returned Persons limit.  # noqa: E501

        :return: The limit of this MatchAndSearchRequest.  # noqa: E501
        :rtype: int
        """
        return self._limit

    @limit.setter
    def limit(self, limit):
        """Sets the limit of this MatchAndSearchRequest.

        The number of returned Persons limit.  # noqa: E501

        :param limit: The limit of this MatchAndSearchRequest.  # noqa: E501
        :type limit: int
        """

        self._limit = limit

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

        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501

        :return: The threshold of this MatchAndSearchRequest.  # noqa: E501
        :rtype: float
        """
        return self._threshold

    @threshold.setter
    def threshold(self, threshold):
        """Sets the threshold of this MatchAndSearchRequest.

        The similarity distance threshold, should be between 0.0 and 2.0, where 0.0 is for returning results for only the most similar persons and 2.0 is for all the persons, even the dissimilar ones. If not set, the default 1.0 value is used.  # noqa: E501

        :param threshold: The threshold of this MatchAndSearchRequest.  # noqa: E501
        :type threshold: float
        """

        self._threshold = threshold

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

        The IDs of the groups in which the search is performed.  # noqa: E501

        :return: The group_ids of this MatchAndSearchRequest.  # noqa: E501
        :rtype: [int]
        """
        return self._group_ids

    @group_ids.setter
    def group_ids(self, group_ids):
        """Sets the group_ids of this MatchAndSearchRequest.

        The IDs of the groups in which the search is performed.  # noqa: E501

        :param group_ids: The group_ids of this MatchAndSearchRequest.  # noqa: E501
        :type group_ids: [int]
        """

        self._group_ids = group_ids

    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, MatchAndSearchRequest):
            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, MatchAndSearchRequest):
            return True

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