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# coding: utf-8
"""
otari-gateway
A clean FastAPI gateway for otari with API key management
The version of the OpenAPI document: 0.0.0-dev
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 pydantic import BaseModel, ConfigDict, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from otari._client.models.cck_top_logprob import CCKTopLogprob
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python
class CCChatCompletionTokenLogprob(BaseModel):
"""
CCChatCompletionTokenLogprob
""" # noqa: E501
token: StrictStr
bytes: Optional[List[StrictInt]] = None
logprob: Union[StrictFloat, StrictInt]
top_logprobs: List[CCKTopLogprob]
additional_properties: Dict[str, Any] = {}
__properties: ClassVar[List[str]] = ["token", "bytes", "logprob", "top_logprobs"]
model_config = ConfigDict(
validate_by_name=True,
validate_by_alias=True,
validate_assignment=True,
protected_namespaces=(),
)
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"""
return json.dumps(to_jsonable_python(self.to_dict()))
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of CCChatCompletionTokenLogprob 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.
* Fields in `self.additional_properties` are added to the output dict.
"""
excluded_fields: Set[str] = set([
"additional_properties",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of each item in top_logprobs (list)
_items = []
if self.top_logprobs:
for _item_top_logprobs in self.top_logprobs:
if _item_top_logprobs:
_items.append(_item_top_logprobs.to_dict())
_dict['top_logprobs'] = _items
# puts key-value pairs in additional_properties in the top level
if self.additional_properties is not None:
for _key, _value in self.additional_properties.items():
_dict[_key] = _value
# set to None if bytes (nullable) is None
# and model_fields_set contains the field
if self.bytes is None and "bytes" in self.model_fields_set:
_dict['bytes'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of CCChatCompletionTokenLogprob from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"token": obj.get("token"),
"bytes": obj.get("bytes"),
"logprob": obj.get("logprob"),
"top_logprobs": [CCKTopLogprob.from_dict(_item) for _item in obj["top_logprobs"]] if obj.get("top_logprobs") is not None else None
})
# store additional fields in additional_properties
for _key in obj.keys():
if _key not in cls.__properties:
_obj.additional_properties[_key] = obj.get(_key)
return _obj