# coding: utf-8 """ Groupe PSA Connected Car - WEB API B2C *PSA B2C Connected Car API* # Introduction This is the description of the *Groupe PSA Connected Car V2 API*. The speccification is is based on **OpenAPI Specification version 3** and can be displayed via [ReDoc](https://github.com/Rebilly/ReDoc)a or [Swagger](http://swagger.io). This API allows applications to fetch data from the connected Vehicles data platform. # Authentication PSA Connected Car APIs uses the [OAuth 2.0](https://tools.ietf.org/html/rfc6749) protocol for authentication and Authorization. any application require a valid [Access Token](https://tools.ietf.org/html/rfc6749#section-1.4) to access to user data. # Errors Error codes returned by all REST APIs comply with the standard. Nevertheless, PSA Services (callers) need to have more complete data structures (even when the answer is not Http-OK) to better detail the type of error by providing application code, message and a debugging code(for investigation purposes). The http code of the response is managed by the protocol itself (in the header). **Errors are returned as a generic error response:** * ```xError``` object model. # noqa: E501 OpenAPI spec version: 4.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class Kinetic(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 = { 'acceleration': 'float', 'moving': 'bool', 'pace': 'float', 'speed': 'float' } attribute_map = { 'acceleration': 'acceleration', 'moving': 'moving', 'pace': 'pace', 'speed': 'speed' } def __init__(self, acceleration=None, moving=None, pace=None, speed=None): # noqa: E501 """Kinetic - a model defined in Swagger""" # noqa: E501 self._acceleration = None self._moving = None self._pace = None self._speed = None self.discriminator = None if acceleration is not None: self.acceleration = acceleration if moving is not None: self.moving = moving if pace is not None: self.pace = pace if speed is not None: self.speed = speed @property def acceleration(self): """Gets the acceleration of this Kinetic. # noqa: E501 :return: The acceleration of this Kinetic. # noqa: E501 :rtype: float """ return self._acceleration @acceleration.setter def acceleration(self, acceleration): """Sets the acceleration of this Kinetic. :param acceleration: The acceleration of this Kinetic. # noqa: E501 :type: float """ self._acceleration = acceleration @property def moving(self): """Gets the moving of this Kinetic. # noqa: E501 :return: The moving of this Kinetic. # noqa: E501 :rtype: bool """ return self._moving @moving.setter def moving(self, moving): """Sets the moving of this Kinetic. :param moving: The moving of this Kinetic. # noqa: E501 :type: bool """ self._moving = moving @property def pace(self): """Gets the pace of this Kinetic. # noqa: E501 :return: The pace of this Kinetic. # noqa: E501 :rtype: float """ return self._pace @pace.setter def pace(self, pace): """Sets the pace of this Kinetic. :param pace: The pace of this Kinetic. # noqa: E501 :type: float """ self._pace = pace @property def speed(self): """Gets the speed of this Kinetic. # noqa: E501 :return: The speed of this Kinetic. # noqa: E501 :rtype: float """ return self._speed @speed.setter def speed(self, speed): """Sets the speed of this Kinetic. :param speed: The speed of this Kinetic. # noqa: E501 :type: float """ self._speed = speed 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(Kinetic, 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, Kinetic): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other