98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
# coding: utf-8
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"""
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Jungfraujoch
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Jungfraujoch Broker Web API
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The version of the OpenAPI document: 1.0.0-rc.15
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Contact: filip.leonarski@psi.ch
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictFloat, StrictInt
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from typing import Any, ClassVar, Dict, List, Optional, Union
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from typing_extensions import Annotated
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from typing import Optional, Set
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from typing_extensions import Self
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class AzimIntSettings(BaseModel):
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"""
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AzimIntSettings
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""" # noqa: E501
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polarization_factor: Optional[Union[Annotated[float, Field(le=1.0, strict=True, ge=-1.0)], Annotated[int, Field(le=1, strict=True, ge=-1)]]] = Field(default=None, description="If polarization factor is provided, than polarization correction is enabled.")
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solid_angle_corr: StrictBool = Field(description="Apply solid angle correction for radial integration")
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high_q_recip_a: Union[StrictFloat, StrictInt] = Field(alias="high_q_recipA")
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low_q_recip_a: Union[StrictFloat, StrictInt] = Field(alias="low_q_recipA")
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q_spacing: Union[StrictFloat, StrictInt]
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__properties: ClassVar[List[str]] = ["polarization_factor", "solid_angle_corr", "high_q_recipA", "low_q_recipA", "q_spacing"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of AzimIntSettings from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of AzimIntSettings from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"polarization_factor": obj.get("polarization_factor"),
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"solid_angle_corr": obj.get("solid_angle_corr") if obj.get("solid_angle_corr") is not None else True,
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"high_q_recipA": obj.get("high_q_recipA"),
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"low_q_recipA": obj.get("low_q_recipA"),
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"q_spacing": obj.get("q_spacing")
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})
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return _obj
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