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 .nwb_language import (
    Arraylike
)


metamodel_version = "None"
version = "None"

class ConfiguredBaseModel(BaseModel,
                validate_assignment = True,
                validate_default = True,
                extra = 'forbid',
                arbitrary_types_allowed = True,
                use_enum_values = True):
    pass


class VectorDataArray(Arraylike):
    
    dim0: Any = Field(...)
    dim1: Optional[Any] = Field(None)
    dim2: Optional[Any] = Field(None)
    dim3: Optional[Any] = Field(None)
    

class ElementIdentifiersArray(Arraylike):
    
    num_elements: int = Field(...)
    


# Model rebuild
# see https://pydantic-docs.helpmanual.io/usage/models/#rebuilding-a-model
VectorDataArray.model_rebuild()
ElementIdentifiersArray.model_rebuild()