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Merge pull request #61 from onfido/release-upgrade
Refresh onfido-python after onfido-openapi-spec update (38a8740)
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{ | ||
"source": { | ||
"repo_url": "https://github.com/onfido/onfido-openapi-spec", | ||
"short_sha": "38a8740", | ||
"long_sha": "38a87401552386cb0b17aae28385c5e2f4af7bfc", | ||
"version": "" | ||
}, | ||
"release": "v3.0.0" | ||
} |
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# coding: utf-8 | ||
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""" | ||
Onfido API v3.6 | ||
The Onfido API (v3.6) | ||
The version of the OpenAPI document: v3.6 | ||
Generated by OpenAPI Generator (https://openapi-generator.tech) | ||
Do not edit the class manually. | ||
""" # noqa: E501 | ||
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from __future__ import annotations | ||
import pprint | ||
import re # noqa: F401 | ||
import json | ||
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from pydantic import BaseModel, ConfigDict, Field, StrictFloat, StrictInt | ||
from typing import Any, ClassVar, Dict, List, Optional, Union | ||
from typing import Optional, Set | ||
from typing_extensions import Self | ||
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class FacialSimilarityMotionProperties(BaseModel): | ||
""" | ||
FacialSimilarityMotionProperties | ||
""" # noqa: E501 | ||
score: Optional[Union[StrictFloat, StrictInt]] = Field(default=None, description="A floating point number between 0 and 1. The closer the score is to 0, the more likely it is to be a spoof (i.e. videos of digital screens, masks or print-outs). Conversely, the closer it is to 1, the less likely it is to be a spoof. ") | ||
additional_properties: Dict[str, Any] = {} | ||
__properties: ClassVar[List[str]] = ["score"] | ||
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model_config = ConfigDict( | ||
populate_by_name=True, | ||
validate_assignment=True, | ||
protected_namespaces=(), | ||
) | ||
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def to_str(self) -> str: | ||
"""Returns the string representation of the model using alias""" | ||
return pprint.pformat(self.model_dump(by_alias=True)) | ||
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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()) | ||
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@classmethod | ||
def from_json(cls, json_str: str) -> Optional[Self]: | ||
"""Create an instance of FacialSimilarityMotionProperties from a JSON string""" | ||
return cls.from_dict(json.loads(json_str)) | ||
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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", | ||
]) | ||
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_dict = self.model_dump( | ||
by_alias=True, | ||
exclude=excluded_fields, | ||
exclude_none=True, | ||
) | ||
# 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 | ||
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return _dict | ||
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@classmethod | ||
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: | ||
"""Create an instance of FacialSimilarityMotionProperties from a dict""" | ||
if obj is None: | ||
return None | ||
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if not isinstance(obj, dict): | ||
return cls.model_validate(obj) | ||
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_obj = cls.model_validate({ | ||
"score": obj.get("score") | ||
}) | ||
# store additional fields in additional_properties | ||
for _key in obj.keys(): | ||
if _key not in cls.__properties: | ||
_obj.additional_properties[_key] = obj.get(_key) | ||
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return _obj | ||
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