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# coding: utf-8
"""
VCell API
VCell API
The version of the OpenAPI document: 1.0.1
Contact: vcell_support@uchc.com
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from typing import Any, ClassVar, Dict, List, Optional, Union
from pydantic import BaseModel, StrictFloat, StrictInt, StrictStr
from pydantic import Field
from vcell_client.models.extent import Extent
from vcell_client.models.i_size import ISize
from vcell_client.models.origin import Origin
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class FieldData(BaseModel):
"""
FieldData
""" # noqa: E501
short_spec_data: Optional[List[List[List[StrictInt]]]] = Field(default=None, alias="shortSpecData")
double_spec_data: Optional[List[List[List[Union[StrictFloat, StrictInt]]]]] = Field(default=None, alias="doubleSpecData")
var_names: Optional[List[StrictStr]] = Field(default=None, alias="varNames")
times: Optional[List[Union[StrictFloat, StrictInt]]] = None
origin: Optional[Origin] = None
extent: Optional[Extent] = None
isize: Optional[ISize] = None
annotation: Optional[StrictStr] = None
name: Optional[StrictStr] = None
__properties: ClassVar[List[str]] = ["shortSpecData", "doubleSpecData", "varNames", "times", "origin", "extent", "isize", "annotation", "name"]
model_config = {
"populate_by_name": True,
"validate_assignment": True
}
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Self:
"""Create an instance of FieldData from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
_dict = self.model_dump(
by_alias=True,
exclude={
},
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of origin
if self.origin:
_dict['origin'] = self.origin.to_dict()
# override the default output from pydantic by calling `to_dict()` of extent
if self.extent:
_dict['extent'] = self.extent.to_dict()
# override the default output from pydantic by calling `to_dict()` of isize
if self.isize:
_dict['isize'] = self.isize.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of FieldData from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
# raise errors for additional fields in the input
for _key in obj.keys():
if _key not in cls.__properties:
raise ValueError("Error due to additional fields (not defined in FieldData) in the input: " + _key)
_obj = cls.model_validate({
"shortSpecData": obj.get("shortSpecData"),
"doubleSpecData": obj.get("doubleSpecData"),
"varNames": obj.get("varNames"),
"times": obj.get("times"),
"origin": Origin.from_dict(obj.get("origin")) if obj.get("origin") is not None else None,
"extent": Extent.from_dict(obj.get("extent")) if obj.get("extent") is not None else None,
"isize": ISize.from_dict(obj.get("isize")) if obj.get("isize") is not None else None,
"annotation": obj.get("annotation"),
"name": obj.get("name")
})
return _obj
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