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48 lines
No EOL
2 KiB
Python
48 lines
No EOL
2 KiB
Python
from __future__ import annotations
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from datetime import datetime, date
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from enum import Enum
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from typing import List, Dict, Optional, Any, Union
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from pydantic import BaseModel as BaseModel, Field
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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
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import sys
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if sys.version_info >= (3, 8):
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from typing import Literal
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else:
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from typing_extensions import Literal
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from .hdmf_common_base import (
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Container
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)
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metamodel_version = "None"
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version = "None"
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class ConfiguredBaseModel(BaseModel,
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validate_assignment = True,
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validate_default = True,
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extra = 'forbid',
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arbitrary_types_allowed = True,
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use_enum_values = True):
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pass
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class HERD(Container):
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"""
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HDMF External Resources Data Structure. A set of six tables for tracking external resource references in a file or across multiple files.
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"""
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name: str = Field(...)
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keys: List[Any] = Field(default_factory=list, description="""A table for storing user terms that are used to refer to external resources.""")
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files: List[Any] = Field(default_factory=list, description="""A table for storing object ids of files used in external resources.""")
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entities: List[Any] = Field(default_factory=list, description="""A table for mapping user terms (i.e., keys) to resource entities.""")
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objects: List[Any] = Field(default_factory=list, description="""A table for identifying which objects in a file contain references to external resources.""")
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object_keys: List[Any] = Field(default_factory=list, description="""A table for identifying which objects use which keys.""")
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entity_keys: List[Any] = Field(default_factory=list, description="""A table for identifying which keys use which entity.""")
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# Model rebuild
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# see https://pydantic-docs.helpmanual.io/usage/models/#rebuilding-a-model
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HERD.model_rebuild()
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