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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
from pydantic import StrictBool, StrictInt, StrictStr
from pydantic import Field
from vcell_client.models.coordinate import Coordinate
from vcell_client.models.curve import Curve
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class AnalyticCurve(Curve):
"""
AnalyticCurve
""" # noqa: E501
type: StrictStr
exp_x: Optional[StrictStr] = Field(default=None, alias="expX")
exp_y: Optional[StrictStr] = Field(default=None, alias="expY")
exp_z: Optional[StrictStr] = Field(default=None, alias="expZ")
offset: Optional[Coordinate] = None
analytic_offset: Optional[Coordinate] = Field(default=None, alias="analyticOffset")
default_num_samples: Optional[StrictInt] = Field(default=None, alias="defaultNumSamples")
segment_count: Optional[StrictInt] = Field(default=None, alias="segmentCount")
valid: Optional[StrictBool] = None
__properties: ClassVar[List[str]] = ["bClosed", "description", "type", "beginningCoordinate", "defaultNumSamples", "endingCoordinate", "numSamplePoints", "segmentCount", "spatialLength", "closed", "valid"]
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 AnalyticCurve 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 beginning_coordinate
if self.beginning_coordinate:
_dict['beginningCoordinate'] = self.beginning_coordinate.to_dict()
# override the default output from pydantic by calling `to_dict()` of ending_coordinate
if self.ending_coordinate:
_dict['endingCoordinate'] = self.ending_coordinate.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of AnalyticCurve 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 AnalyticCurve) in the input: " + _key)
_obj = cls.model_validate({
"bClosed": obj.get("bClosed"),
"description": obj.get("description"),
"type": obj.get("type") if obj.get("type") is not None else 'AnalyticCurve',
"beginningCoordinate": Coordinate.from_dict(obj.get("beginningCoordinate")) if obj.get("beginningCoordinate") is not None else None,
"defaultNumSamples": obj.get("defaultNumSamples"),
"endingCoordinate": Coordinate.from_dict(obj.get("endingCoordinate")) if obj.get("endingCoordinate") is not None else None,
"numSamplePoints": obj.get("numSamplePoints"),
"segmentCount": obj.get("segmentCount"),
"spatialLength": obj.get("spatialLength"),
"closed": obj.get("closed"),
"valid": obj.get("valid")
})
return _obj
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