from __future__ import annotations from datetime import datetime, date from enum import Enum from typing import List, Dict, Optional, Any, Union from pydantic import BaseModel as BaseModel, Field from nptyping import NDArray, Shape, Float, Float32, Double, Float64, LongLong, Int64, Int, Int32, Int16, Short, Int8, UInt, UInt32, UInt16, UInt8, UInt64, Number, String, Unicode, Unicode, Unicode, String, Bool, Datetime64 import sys if sys.version_info >= (3, 8): from typing import Literal else: from typing_extensions import Literal from .hdmf_common_table import ( VectorData ) metamodel_version = "None" version = "None" class WeakRefShimBaseModel(BaseModel): __slots__ = '__weakref__' class ConfiguredBaseModel(WeakRefShimBaseModel, validate_assignment = True, validate_all = True, underscore_attrs_are_private = True, extra = 'forbid', arbitrary_types_allowed = True, use_enum_values = True): pass class EnumData(VectorData): """ Data that come from a fixed set of values. A data value of i corresponds to the i-th value in the VectorData referenced by the 'elements' attribute. """ elements: Optional[VectorData] = Field(None, description="""Reference to the VectorData object that contains the enumerable elements""") description: Optional[str] = Field(None, description="""Description of what these vectors represent.""") array: Optional[NDArray[Shape["* dim0, * dim1, * dim2, * dim3"], ]] = Field(None) # Update forward refs # see https://pydantic-docs.helpmanual.io/usage/postponed_annotations/ EnumData.update_forward_refs()