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Upgrade after onfido-openapi-spec change 47c86fa
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,9 @@ | ||
| { | ||
| "source": { | ||
| "repo_url": "https://github.com/onfido/onfido-openapi-spec", | ||
| "short_sha": "47c86fa", | ||
| "long_sha": "47c86fa6e15fe0a5d60afd54988a59fdcb5e2135", | ||
| "version": "" | ||
| }, | ||
| "release": "v3.0.0-pre" | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,100 @@ | ||
| # 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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|
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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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100 changes: 100 additions & 0 deletions
100
onfido/models/facial_similarity_photo_fully_auto_properties.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,100 @@ | ||
| # coding: utf-8 | ||
|
|
||
| """ | ||
| 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 | ||
|
|
||
|
|
||
| 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 FacialSimilarityPhotoFullyAutoProperties(BaseModel): | ||
| """ | ||
| FacialSimilarityPhotoFullyAutoProperties | ||
| """ # 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. photos of printed photos, or photos of digital screens). 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=(), | ||
| ) | ||
|
|
||
|
|
||
| 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()) | ||
|
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| @classmethod | ||
| def from_json(cls, json_str: str) -> Optional[Self]: | ||
| """Create an instance of FacialSimilarityPhotoFullyAutoProperties 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, | ||
| ) | ||
| # 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 FacialSimilarityPhotoFullyAutoProperties 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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