# coding: utf-8 """ Onshape REST API The Onshape REST API consumed by all clients. # noqa: E501 The version of the OpenAPI document: 1.111 Contact: api-support@onshape.zendesk.com Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import sys # noqa: F401 import six # noqa: F401 from onshape_client.oas.model_utils import ( # noqa: F401 ModelComposed, int, str, validate_get_composed_info, ) try: from onshape_client.oas.models import bt_feature_api_base1430 except ImportError: bt_feature_api_base1430 = sys.modules[ "onshape_client.oas.models.bt_feature_api_base1430" ] try: from onshape_client.oas.models import bt_update_features_call1748_all_of except ImportError: bt_update_features_call1748_all_of = sys.modules[ "onshape_client.oas.models.bt_update_features_call1748_all_of" ] try: from onshape_client.oas.models import btm_feature134 except ImportError: btm_feature134 = sys.modules["onshape_client.oas.models.btm_feature134"] class BTUpdateFeaturesCall1748(ModelComposed): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. Attributes: allowed_values (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict with a capitalized key describing the allowed value and an allowed value. These dicts store the allowed enum values. attribute_map (dict): The key is attribute name and the value is json key in definition. discriminator_value_class_map (dict): A dict to go from the discriminator variable value to the discriminator class name. validations (dict): The key is the tuple path to the attribute and the for var_name this is (var_name,). The value is a dict that stores validations for max_length, min_length, max_items, min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, inclusive_minimum, and regex. additional_properties_type (tuple): A tuple of classes accepted as additional properties values. """ allowed_values = {} validations = {} additional_properties_type = None @staticmethod def openapi_types(): """ This must be a class method so a model may have properties that are of type self, this ensures that we don't create a cyclic import Returns openapi_types (dict): The key is attribute name and the value is attribute type. """ return { "features": ([btm_feature134.BTMFeature134],), # noqa: E501 "update_suppression_attributes": (bool,), # noqa: E501 "bt_type": (str,), # noqa: E501 "library_version": (int,), # noqa: E501 "microversion_skew": (bool,), # noqa: E501 "reject_microversion_skew": (bool,), # noqa: E501 "serialization_version": (str,), # noqa: E501 "source_microversion": (str,), # noqa: E501 } @staticmethod def discriminator(): return None attribute_map = { "features": "features", # noqa: E501 "update_suppression_attributes": "updateSuppressionAttributes", # noqa: E501 "bt_type": "btType", # noqa: E501 "library_version": "libraryVersion", # noqa: E501 "microversion_skew": "microversionSkew", # noqa: E501 "reject_microversion_skew": "rejectMicroversionSkew", # noqa: E501 "serialization_version": "serializationVersion", # noqa: E501 "source_microversion": "sourceMicroversion", # noqa: E501 } required_properties = set( [ "_data_store", "_check_type", "_from_server", "_path_to_item", "_configuration", "_composed_instances", "_var_name_to_model_instances", "_additional_properties_model_instances", ] ) def __init__( self, _check_type=True, _from_server=False, _path_to_item=(), _configuration=None, **kwargs ): # noqa: E501 """bt_update_features_call1748.BTUpdateFeaturesCall1748 - a model defined in OpenAPI Keyword Args: _check_type (bool): if True, values for parameters in openapi_types will be type checked and a TypeError will be raised if the wrong type is input. Defaults to True _path_to_item (tuple/list): This is a list of keys or values to drill down to the model in received_data when deserializing a response _from_server (bool): True if the data is from the server False if the data is from the client (default) _configuration (Configuration): the instance to use when deserializing a file_type parameter. If passed, type conversion is attempted If omitted no type conversion is done. features ([btm_feature134.BTMFeature134]): [optional] # noqa: E501 update_suppression_attributes (bool): [optional] # noqa: E501 bt_type (str): [optional] # noqa: E501 library_version (int): [optional] # noqa: E501 microversion_skew (bool): [optional] # noqa: E501 reject_microversion_skew (bool): [optional] # noqa: E501 serialization_version (str): [optional] # noqa: E501 source_microversion (str): [optional] # noqa: E501 """ self._data_store = {} self._check_type = _check_type self._from_server = _from_server self._path_to_item = _path_to_item self._configuration = _configuration constant_args = { "_check_type": _check_type, "_path_to_item": _path_to_item, "_from_server": _from_server, "_configuration": _configuration, } model_args = {} model_args.update(kwargs) composed_info = validate_get_composed_info(constant_args, model_args, self) self._composed_instances = composed_info[0] self._var_name_to_model_instances = composed_info[1] self._additional_properties_model_instances = composed_info[2] for var_name, var_value in six.iteritems(kwargs): setattr(self, var_name, var_value) @staticmethod def _composed_schemas(): # we need this here to make our import statements work # we must store _composed_schemas in here so the code is only run # when we invoke this method. If we kept this at the class # level we would get an error beause the class level # code would be run when this module is imported, and these composed # classes don't exist yet because their module has not finished # loading return { "anyOf": [], "allOf": [ bt_feature_api_base1430.BTFeatureApiBase1430, bt_update_features_call1748_all_of.BTUpdateFeaturesCall1748AllOf, ], "oneOf": [], }