# coding: utf-8

"""
    vod20250101

    No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen)  # noqa: E501

    OpenAPI spec version: common-version
    
    Generated by: https://github.com/swagger-api/swagger-codegen.git
"""


import pprint
import re  # noqa: F401

import six

from volcenginesdkcore.configuration import Configuration


class VideoSummaryForStartExecutionInput(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 = {
        'best_segment_duration': 'int',
        'extra_description': 'str',
        'only_timeline': 'bool'
    }

    attribute_map = {
        'best_segment_duration': 'BestSegmentDuration',
        'extra_description': 'ExtraDescription',
        'only_timeline': 'OnlyTimeline'
    }

    def __init__(self, best_segment_duration=None, extra_description=None, only_timeline=None, _configuration=None):  # noqa: E501
        """VideoSummaryForStartExecutionInput - a model defined in Swagger"""  # noqa: E501
        if _configuration is None:
            _configuration = Configuration()
        self._configuration = _configuration

        self._best_segment_duration = None
        self._extra_description = None
        self._only_timeline = None
        self.discriminator = None

        if best_segment_duration is not None:
            self.best_segment_duration = best_segment_duration
        if extra_description is not None:
            self.extra_description = extra_description
        if only_timeline is not None:
            self.only_timeline = only_timeline

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


        :return: The best_segment_duration of this VideoSummaryForStartExecutionInput.  # noqa: E501
        :rtype: int
        """
        return self._best_segment_duration

    @best_segment_duration.setter
    def best_segment_duration(self, best_segment_duration):
        """Sets the best_segment_duration of this VideoSummaryForStartExecutionInput.


        :param best_segment_duration: The best_segment_duration of this VideoSummaryForStartExecutionInput.  # noqa: E501
        :type: int
        """

        self._best_segment_duration = best_segment_duration

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


        :return: The extra_description of this VideoSummaryForStartExecutionInput.  # noqa: E501
        :rtype: str
        """
        return self._extra_description

    @extra_description.setter
    def extra_description(self, extra_description):
        """Sets the extra_description of this VideoSummaryForStartExecutionInput.


        :param extra_description: The extra_description of this VideoSummaryForStartExecutionInput.  # noqa: E501
        :type: str
        """

        self._extra_description = extra_description

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


        :return: The only_timeline of this VideoSummaryForStartExecutionInput.  # noqa: E501
        :rtype: bool
        """
        return self._only_timeline

    @only_timeline.setter
    def only_timeline(self, only_timeline):
        """Sets the only_timeline of this VideoSummaryForStartExecutionInput.


        :param only_timeline: The only_timeline of this VideoSummaryForStartExecutionInput.  # noqa: E501
        :type: bool
        """

        self._only_timeline = only_timeline

    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(VideoSummaryForStartExecutionInput, 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, VideoSummaryForStartExecutionInput):
            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, VideoSummaryForStartExecutionInput):
            return True

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