pinecone.core.client.model.query_vector
Pinecone API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: version not set Contact: support@pinecone.io Generated by: https://openapi-generator.tech
1""" 2 Pinecone API 3 4 No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 5 6 The version of the OpenAPI document: version not set 7 Contact: support@pinecone.io 8 Generated by: https://openapi-generator.tech 9""" 10 11 12import re # noqa: F401 13import sys # noqa: F401 14 15from pinecone.core.client.model_utils import ( # noqa: F401 16 ApiTypeError, 17 ModelComposed, 18 ModelNormal, 19 ModelSimple, 20 cached_property, 21 change_keys_js_to_python, 22 convert_js_args_to_python_args, 23 date, 24 datetime, 25 file_type, 26 none_type, 27 validate_get_composed_info, 28) 29from ..model_utils import OpenApiModel 30from pinecone.core.client.exceptions import ApiAttributeError 31 32 33def lazy_import(): 34 from pinecone.core.client.model.sparse_values import SparseValues 35 36 globals()["SparseValues"] = SparseValues 37 38 39class QueryVector(ModelNormal): 40 """NOTE: This class is auto generated by OpenAPI Generator. 41 Ref: https://openapi-generator.tech 42 43 Do not edit the class manually. 44 45 Attributes: 46 allowed_values (dict): The key is the tuple path to the attribute 47 and the for var_name this is (var_name,). The value is a dict 48 with a capitalized key describing the allowed value and an allowed 49 value. These dicts store the allowed enum values. 50 attribute_map (dict): The key is attribute name 51 and the value is json key in definition. 52 discriminator_value_class_map (dict): A dict to go from the discriminator 53 variable value to the discriminator class name. 54 validations (dict): The key is the tuple path to the attribute 55 and the for var_name this is (var_name,). The value is a dict 56 that stores validations for max_length, min_length, max_items, 57 min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, 58 inclusive_minimum, and regex. 59 additional_properties_type (tuple): A tuple of classes accepted 60 as additional properties values. 61 """ 62 63 allowed_values = {} 64 65 validations = { 66 ("values",): {}, 67 ("top_k",): { 68 "inclusive_maximum": 10000, 69 "inclusive_minimum": 1, 70 }, 71 } 72 73 @cached_property 74 def additional_properties_type(): 75 """ 76 This must be a method because a model may have properties that are 77 of type self, this must run after the class is loaded 78 """ 79 lazy_import() 80 return ( 81 bool, 82 date, 83 datetime, 84 dict, 85 float, 86 int, 87 list, 88 str, 89 none_type, 90 ) # noqa: E501 91 92 _nullable = False 93 94 @cached_property 95 def openapi_types(): 96 """ 97 This must be a method because a model may have properties that are 98 of type self, this must run after the class is loaded 99 100 Returns 101 openapi_types (dict): The key is attribute name 102 and the value is attribute type. 103 """ 104 lazy_import() 105 return { 106 "values": ([float],), # noqa: E501 107 "sparse_values": (SparseValues,), # noqa: E501 108 "top_k": (int,), # noqa: E501 109 "namespace": (str,), # noqa: E501 110 "filter": ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},), # noqa: E501 111 } 112 113 @cached_property 114 def discriminator(): 115 return None 116 117 attribute_map = { 118 "values": "values", # noqa: E501 119 "sparse_values": "sparseValues", # noqa: E501 120 "top_k": "topK", # noqa: E501 121 "namespace": "namespace", # noqa: E501 122 "filter": "filter", # noqa: E501 123 } 124 125 read_only_vars = {} 126 127 _composed_schemas = {} 128 129 @classmethod 130 @convert_js_args_to_python_args 131 def _from_openapi_data(cls, values, *args, **kwargs): # noqa: E501 132 """QueryVector - a model defined in OpenAPI 133 134 Args: 135 values ([float]): The query vector values. This should be the same length as the dimension of the index being queried. 136 137 Keyword Args: 138 _check_type (bool): if True, values for parameters in openapi_types 139 will be type checked and a TypeError will be 140 raised if the wrong type is input. 141 Defaults to True 142 _path_to_item (tuple/list): This is a list of keys or values to 143 drill down to the model in received_data 144 when deserializing a response 145 _spec_property_naming (bool): True if the variable names in the input data 146 are serialized names, as specified in the OpenAPI document. 147 False if the variable names in the input data 148 are pythonic names, e.g. snake case (default) 149 _configuration (Configuration): the instance to use when 150 deserializing a file_type parameter. 151 If passed, type conversion is attempted 152 If omitted no type conversion is done. 153 _visited_composed_classes (tuple): This stores a tuple of 154 classes that we have traveled through so that 155 if we see that class again we will not use its 156 discriminator again. 157 When traveling through a discriminator, the 158 composed schema that is 159 is traveled through is added to this set. 160 For example if Animal has a discriminator 161 petType and we pass in "Dog", and the class Dog 162 allOf includes Animal, we move through Animal 163 once using the discriminator, and pick Dog. 164 Then in Dog, we will make an instance of the 165 Animal class but this time we won't travel 166 through its discriminator because we passed in 167 _visited_composed_classes = (Animal,) 168 sparse_values (SparseValues): The sparse data of the query vector [optional] # noqa: E501 169 top_k (int): An override for the number of results to return for this query vector.. [optional] # noqa: E501 170 namespace (str): An override the namespace to search.. [optional] # noqa: E501 171 filter ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): An override for the metadata filter to apply. This replaces the request-level filter.. [optional] # noqa: E501 172 """ 173 174 _check_type = kwargs.pop("_check_type", True) 175 _spec_property_naming = kwargs.pop("_spec_property_naming", False) 176 _path_to_item = kwargs.pop("_path_to_item", ()) 177 _configuration = kwargs.pop("_configuration", None) 178 _visited_composed_classes = kwargs.pop("_visited_composed_classes", ()) 179 180 self = super(OpenApiModel, cls).__new__(cls) 181 182 if args: 183 raise ApiTypeError( 184 "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." 185 % ( 186 args, 187 self.__class__.__name__, 188 ), 189 path_to_item=_path_to_item, 190 valid_classes=(self.__class__,), 191 ) 192 193 self._data_store = {} 194 self._check_type = _check_type 195 self._spec_property_naming = _spec_property_naming 196 self._path_to_item = _path_to_item 197 self._configuration = _configuration 198 self._visited_composed_classes = _visited_composed_classes + (self.__class__,) 199 200 self.values = values 201 for var_name, var_value in kwargs.items(): 202 if ( 203 var_name not in self.attribute_map 204 and self._configuration is not None 205 and self._configuration.discard_unknown_keys 206 and self.additional_properties_type is None 207 ): 208 # discard variable. 209 continue 210 setattr(self, var_name, var_value) 211 return self 212 213 required_properties = set( 214 [ 215 "_data_store", 216 "_check_type", 217 "_spec_property_naming", 218 "_path_to_item", 219 "_configuration", 220 "_visited_composed_classes", 221 ] 222 ) 223 224 @convert_js_args_to_python_args 225 def __init__(self, values, *args, **kwargs): # noqa: E501 226 """QueryVector - a model defined in OpenAPI 227 228 Args: 229 values ([float]): The query vector values. This should be the same length as the dimension of the index being queried. 230 231 Keyword Args: 232 _check_type (bool): if True, values for parameters in openapi_types 233 will be type checked and a TypeError will be 234 raised if the wrong type is input. 235 Defaults to True 236 _path_to_item (tuple/list): This is a list of keys or values to 237 drill down to the model in received_data 238 when deserializing a response 239 _spec_property_naming (bool): True if the variable names in the input data 240 are serialized names, as specified in the OpenAPI document. 241 False if the variable names in the input data 242 are pythonic names, e.g. snake case (default) 243 _configuration (Configuration): the instance to use when 244 deserializing a file_type parameter. 245 If passed, type conversion is attempted 246 If omitted no type conversion is done. 247 _visited_composed_classes (tuple): This stores a tuple of 248 classes that we have traveled through so that 249 if we see that class again we will not use its 250 discriminator again. 251 When traveling through a discriminator, the 252 composed schema that is 253 is traveled through is added to this set. 254 For example if Animal has a discriminator 255 petType and we pass in "Dog", and the class Dog 256 allOf includes Animal, we move through Animal 257 once using the discriminator, and pick Dog. 258 Then in Dog, we will make an instance of the 259 Animal class but this time we won't travel 260 through its discriminator because we passed in 261 _visited_composed_classes = (Animal,) 262 sparse_values (SparseValues): This is the sparse data of the vector [optional] # noqa: E501 263 top_k (int): An override for the number of results to return for this query vector.. [optional] # noqa: E501 264 namespace (str): An override the namespace to search.. [optional] # noqa: E501 265 filter ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): An override for the metadata filter to apply. This replaces the request-level filter.. [optional] # noqa: E501 266 """ 267 268 _check_type = kwargs.pop("_check_type", True) 269 _spec_property_naming = kwargs.pop("_spec_property_naming", False) 270 _path_to_item = kwargs.pop("_path_to_item", ()) 271 _configuration = kwargs.pop("_configuration", None) 272 _visited_composed_classes = kwargs.pop("_visited_composed_classes", ()) 273 274 if args: 275 raise ApiTypeError( 276 "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." 277 % ( 278 args, 279 self.__class__.__name__, 280 ), 281 path_to_item=_path_to_item, 282 valid_classes=(self.__class__,), 283 ) 284 285 self._data_store = {} 286 self._check_type = _check_type 287 self._spec_property_naming = _spec_property_naming 288 self._path_to_item = _path_to_item 289 self._configuration = _configuration 290 self._visited_composed_classes = _visited_composed_classes + (self.__class__,) 291 292 self.values = values 293 for var_name, var_value in kwargs.items(): 294 if ( 295 var_name not in self.attribute_map 296 and self._configuration is not None 297 and self._configuration.discard_unknown_keys 298 and self.additional_properties_type is None 299 ): 300 # discard variable. 301 continue 302 setattr(self, var_name, var_value) 303 if var_name in self.read_only_vars: 304 raise ApiAttributeError( 305 f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate " 306 f"class with read only attributes." 307 )
def
lazy_import():
40class QueryVector(ModelNormal): 41 """NOTE: This class is auto generated by OpenAPI Generator. 42 Ref: https://openapi-generator.tech 43 44 Do not edit the class manually. 45 46 Attributes: 47 allowed_values (dict): The key is the tuple path to the attribute 48 and the for var_name this is (var_name,). The value is a dict 49 with a capitalized key describing the allowed value and an allowed 50 value. These dicts store the allowed enum values. 51 attribute_map (dict): The key is attribute name 52 and the value is json key in definition. 53 discriminator_value_class_map (dict): A dict to go from the discriminator 54 variable value to the discriminator class name. 55 validations (dict): The key is the tuple path to the attribute 56 and the for var_name this is (var_name,). The value is a dict 57 that stores validations for max_length, min_length, max_items, 58 min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum, 59 inclusive_minimum, and regex. 60 additional_properties_type (tuple): A tuple of classes accepted 61 as additional properties values. 62 """ 63 64 allowed_values = {} 65 66 validations = { 67 ("values",): {}, 68 ("top_k",): { 69 "inclusive_maximum": 10000, 70 "inclusive_minimum": 1, 71 }, 72 } 73 74 @cached_property 75 def additional_properties_type(): 76 """ 77 This must be a method because a model may have properties that are 78 of type self, this must run after the class is loaded 79 """ 80 lazy_import() 81 return ( 82 bool, 83 date, 84 datetime, 85 dict, 86 float, 87 int, 88 list, 89 str, 90 none_type, 91 ) # noqa: E501 92 93 _nullable = False 94 95 @cached_property 96 def openapi_types(): 97 """ 98 This must be a method because a model may have properties that are 99 of type self, this must run after the class is loaded 100 101 Returns 102 openapi_types (dict): The key is attribute name 103 and the value is attribute type. 104 """ 105 lazy_import() 106 return { 107 "values": ([float],), # noqa: E501 108 "sparse_values": (SparseValues,), # noqa: E501 109 "top_k": (int,), # noqa: E501 110 "namespace": (str,), # noqa: E501 111 "filter": ({str: (bool, date, datetime, dict, float, int, list, str, none_type)},), # noqa: E501 112 } 113 114 @cached_property 115 def discriminator(): 116 return None 117 118 attribute_map = { 119 "values": "values", # noqa: E501 120 "sparse_values": "sparseValues", # noqa: E501 121 "top_k": "topK", # noqa: E501 122 "namespace": "namespace", # noqa: E501 123 "filter": "filter", # noqa: E501 124 } 125 126 read_only_vars = {} 127 128 _composed_schemas = {} 129 130 @classmethod 131 @convert_js_args_to_python_args 132 def _from_openapi_data(cls, values, *args, **kwargs): # noqa: E501 133 """QueryVector - a model defined in OpenAPI 134 135 Args: 136 values ([float]): The query vector values. This should be the same length as the dimension of the index being queried. 137 138 Keyword Args: 139 _check_type (bool): if True, values for parameters in openapi_types 140 will be type checked and a TypeError will be 141 raised if the wrong type is input. 142 Defaults to True 143 _path_to_item (tuple/list): This is a list of keys or values to 144 drill down to the model in received_data 145 when deserializing a response 146 _spec_property_naming (bool): True if the variable names in the input data 147 are serialized names, as specified in the OpenAPI document. 148 False if the variable names in the input data 149 are pythonic names, e.g. snake case (default) 150 _configuration (Configuration): the instance to use when 151 deserializing a file_type parameter. 152 If passed, type conversion is attempted 153 If omitted no type conversion is done. 154 _visited_composed_classes (tuple): This stores a tuple of 155 classes that we have traveled through so that 156 if we see that class again we will not use its 157 discriminator again. 158 When traveling through a discriminator, the 159 composed schema that is 160 is traveled through is added to this set. 161 For example if Animal has a discriminator 162 petType and we pass in "Dog", and the class Dog 163 allOf includes Animal, we move through Animal 164 once using the discriminator, and pick Dog. 165 Then in Dog, we will make an instance of the 166 Animal class but this time we won't travel 167 through its discriminator because we passed in 168 _visited_composed_classes = (Animal,) 169 sparse_values (SparseValues): The sparse data of the query vector [optional] # noqa: E501 170 top_k (int): An override for the number of results to return for this query vector.. [optional] # noqa: E501 171 namespace (str): An override the namespace to search.. [optional] # noqa: E501 172 filter ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): An override for the metadata filter to apply. This replaces the request-level filter.. [optional] # noqa: E501 173 """ 174 175 _check_type = kwargs.pop("_check_type", True) 176 _spec_property_naming = kwargs.pop("_spec_property_naming", False) 177 _path_to_item = kwargs.pop("_path_to_item", ()) 178 _configuration = kwargs.pop("_configuration", None) 179 _visited_composed_classes = kwargs.pop("_visited_composed_classes", ()) 180 181 self = super(OpenApiModel, cls).__new__(cls) 182 183 if args: 184 raise ApiTypeError( 185 "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." 186 % ( 187 args, 188 self.__class__.__name__, 189 ), 190 path_to_item=_path_to_item, 191 valid_classes=(self.__class__,), 192 ) 193 194 self._data_store = {} 195 self._check_type = _check_type 196 self._spec_property_naming = _spec_property_naming 197 self._path_to_item = _path_to_item 198 self._configuration = _configuration 199 self._visited_composed_classes = _visited_composed_classes + (self.__class__,) 200 201 self.values = values 202 for var_name, var_value in kwargs.items(): 203 if ( 204 var_name not in self.attribute_map 205 and self._configuration is not None 206 and self._configuration.discard_unknown_keys 207 and self.additional_properties_type is None 208 ): 209 # discard variable. 210 continue 211 setattr(self, var_name, var_value) 212 return self 213 214 required_properties = set( 215 [ 216 "_data_store", 217 "_check_type", 218 "_spec_property_naming", 219 "_path_to_item", 220 "_configuration", 221 "_visited_composed_classes", 222 ] 223 ) 224 225 @convert_js_args_to_python_args 226 def __init__(self, values, *args, **kwargs): # noqa: E501 227 """QueryVector - a model defined in OpenAPI 228 229 Args: 230 values ([float]): The query vector values. This should be the same length as the dimension of the index being queried. 231 232 Keyword Args: 233 _check_type (bool): if True, values for parameters in openapi_types 234 will be type checked and a TypeError will be 235 raised if the wrong type is input. 236 Defaults to True 237 _path_to_item (tuple/list): This is a list of keys or values to 238 drill down to the model in received_data 239 when deserializing a response 240 _spec_property_naming (bool): True if the variable names in the input data 241 are serialized names, as specified in the OpenAPI document. 242 False if the variable names in the input data 243 are pythonic names, e.g. snake case (default) 244 _configuration (Configuration): the instance to use when 245 deserializing a file_type parameter. 246 If passed, type conversion is attempted 247 If omitted no type conversion is done. 248 _visited_composed_classes (tuple): This stores a tuple of 249 classes that we have traveled through so that 250 if we see that class again we will not use its 251 discriminator again. 252 When traveling through a discriminator, the 253 composed schema that is 254 is traveled through is added to this set. 255 For example if Animal has a discriminator 256 petType and we pass in "Dog", and the class Dog 257 allOf includes Animal, we move through Animal 258 once using the discriminator, and pick Dog. 259 Then in Dog, we will make an instance of the 260 Animal class but this time we won't travel 261 through its discriminator because we passed in 262 _visited_composed_classes = (Animal,) 263 sparse_values (SparseValues): This is the sparse data of the vector [optional] # noqa: E501 264 top_k (int): An override for the number of results to return for this query vector.. [optional] # noqa: E501 265 namespace (str): An override the namespace to search.. [optional] # noqa: E501 266 filter ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): An override for the metadata filter to apply. This replaces the request-level filter.. [optional] # noqa: E501 267 """ 268 269 _check_type = kwargs.pop("_check_type", True) 270 _spec_property_naming = kwargs.pop("_spec_property_naming", False) 271 _path_to_item = kwargs.pop("_path_to_item", ()) 272 _configuration = kwargs.pop("_configuration", None) 273 _visited_composed_classes = kwargs.pop("_visited_composed_classes", ()) 274 275 if args: 276 raise ApiTypeError( 277 "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." 278 % ( 279 args, 280 self.__class__.__name__, 281 ), 282 path_to_item=_path_to_item, 283 valid_classes=(self.__class__,), 284 ) 285 286 self._data_store = {} 287 self._check_type = _check_type 288 self._spec_property_naming = _spec_property_naming 289 self._path_to_item = _path_to_item 290 self._configuration = _configuration 291 self._visited_composed_classes = _visited_composed_classes + (self.__class__,) 292 293 self.values = values 294 for var_name, var_value in kwargs.items(): 295 if ( 296 var_name not in self.attribute_map 297 and self._configuration is not None 298 and self._configuration.discard_unknown_keys 299 and self.additional_properties_type is None 300 ): 301 # discard variable. 302 continue 303 setattr(self, var_name, var_value) 304 if var_name in self.read_only_vars: 305 raise ApiAttributeError( 306 f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate " 307 f"class with read only attributes." 308 )
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.
@convert_js_args_to_python_args
QueryVector(values, *args, **kwargs)
225 @convert_js_args_to_python_args 226 def __init__(self, values, *args, **kwargs): # noqa: E501 227 """QueryVector - a model defined in OpenAPI 228 229 Args: 230 values ([float]): The query vector values. This should be the same length as the dimension of the index being queried. 231 232 Keyword Args: 233 _check_type (bool): if True, values for parameters in openapi_types 234 will be type checked and a TypeError will be 235 raised if the wrong type is input. 236 Defaults to True 237 _path_to_item (tuple/list): This is a list of keys or values to 238 drill down to the model in received_data 239 when deserializing a response 240 _spec_property_naming (bool): True if the variable names in the input data 241 are serialized names, as specified in the OpenAPI document. 242 False if the variable names in the input data 243 are pythonic names, e.g. snake case (default) 244 _configuration (Configuration): the instance to use when 245 deserializing a file_type parameter. 246 If passed, type conversion is attempted 247 If omitted no type conversion is done. 248 _visited_composed_classes (tuple): This stores a tuple of 249 classes that we have traveled through so that 250 if we see that class again we will not use its 251 discriminator again. 252 When traveling through a discriminator, the 253 composed schema that is 254 is traveled through is added to this set. 255 For example if Animal has a discriminator 256 petType and we pass in "Dog", and the class Dog 257 allOf includes Animal, we move through Animal 258 once using the discriminator, and pick Dog. 259 Then in Dog, we will make an instance of the 260 Animal class but this time we won't travel 261 through its discriminator because we passed in 262 _visited_composed_classes = (Animal,) 263 sparse_values (SparseValues): This is the sparse data of the vector [optional] # noqa: E501 264 top_k (int): An override for the number of results to return for this query vector.. [optional] # noqa: E501 265 namespace (str): An override the namespace to search.. [optional] # noqa: E501 266 filter ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): An override for the metadata filter to apply. This replaces the request-level filter.. [optional] # noqa: E501 267 """ 268 269 _check_type = kwargs.pop("_check_type", True) 270 _spec_property_naming = kwargs.pop("_spec_property_naming", False) 271 _path_to_item = kwargs.pop("_path_to_item", ()) 272 _configuration = kwargs.pop("_configuration", None) 273 _visited_composed_classes = kwargs.pop("_visited_composed_classes", ()) 274 275 if args: 276 raise ApiTypeError( 277 "Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." 278 % ( 279 args, 280 self.__class__.__name__, 281 ), 282 path_to_item=_path_to_item, 283 valid_classes=(self.__class__,), 284 ) 285 286 self._data_store = {} 287 self._check_type = _check_type 288 self._spec_property_naming = _spec_property_naming 289 self._path_to_item = _path_to_item 290 self._configuration = _configuration 291 self._visited_composed_classes = _visited_composed_classes + (self.__class__,) 292 293 self.values = values 294 for var_name, var_value in kwargs.items(): 295 if ( 296 var_name not in self.attribute_map 297 and self._configuration is not None 298 and self._configuration.discard_unknown_keys 299 and self.additional_properties_type is None 300 ): 301 # discard variable. 302 continue 303 setattr(self, var_name, var_value) 304 if var_name in self.read_only_vars: 305 raise ApiAttributeError( 306 f"`{var_name}` is a read-only attribute. Use `from_openapi_data` to instantiate " 307 f"class with read only attributes." 308 )
QueryVector - a model defined in OpenAPI
Arguments:
- values ([float]): The query vector values. This should be the same length as the dimension of the index being queried.
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 _spec_property_naming (bool): True if the variable names in the input data are serialized names, as specified in the OpenAPI document. False if the variable names in the input data are pythonic names, e.g. snake case (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. _visited_composed_classes (tuple): This stores a tuple of classes that we have traveled through so that if we see that class again we will not use its discriminator again. When traveling through a discriminator, the composed schema that is is traveled through is added to this set. For example if Animal has a discriminator petType and we pass in "Dog", and the class Dog allOf includes Animal, we move through Animal once using the discriminator, and pick Dog. Then in Dog, we will make an instance of the Animal class but this time we won't travel through its discriminator because we passed in _visited_composed_classes = (Animal,) sparse_values (SparseValues): This is the sparse data of the vector [optional] # noqa: E501 top_k (int): An override for the number of results to return for this query vector.. [optional] # noqa: E501 namespace (str): An override the namespace to search.. [optional] # noqa: E501 filter ({str: (bool, date, datetime, dict, float, int, list, str, none_type)}): An override for the metadata filter to apply. This replaces the request-level filter.. [optional] # noqa: E501
def
additional_properties_type(unknown):
This must be a method because a model may have properties that are of type self, this must run after the class is loaded
def
openapi_types(unknown):
This must be a method because a model may have properties that are of type self, this must run after the class is loaded
Returns openapi_types (dict): The key is attribute name and the value is attribute type.
attribute_map =
{'values': 'values', 'sparse_values': 'sparseValues', 'top_k': 'topK', 'namespace': 'namespace', 'filter': 'filter'}