mirror of
https://github.com/p2p-ld/nwb-linkml.git
synced 2024-11-10 00:34:29 +00:00
sneakers-the-rat
be21325123
- split off generated subclasses into "include" files, not sure if that's good, but in any case we have them separable now. - more work on cleanly un-nesting scalar and 1D-vector data into attributes and lists, respectively - brought the pydantic generator in-repo to do a bunch of overrides
60 lines
2.6 KiB
Python
60 lines
2.6 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 .core_nwb_epoch_include import (
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TimeIntervalsTimeseriesIndex,
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TimeIntervalsTagsIndex,
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TimeIntervalsTimeseries
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)
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from .hdmf_common_table import (
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DynamicTable
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)
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metamodel_version = "None"
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version = "None"
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class WeakRefShimBaseModel(BaseModel):
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__slots__ = '__weakref__'
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class ConfiguredBaseModel(WeakRefShimBaseModel,
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validate_assignment = True,
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validate_all = True,
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underscore_attrs_are_private = 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 TimeIntervals(DynamicTable):
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"""
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A container for aggregating epoch data and the TimeSeries that each epoch applies to.
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"""
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start_time: Optional[List[float]] = Field(default_factory=list, description="""Start time of epoch, in seconds.""")
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stop_time: Optional[List[float]] = Field(default_factory=list, description="""Stop time of epoch, in seconds.""")
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tags: Optional[List[str]] = Field(default_factory=list, description="""User-defined tags that identify or categorize events.""")
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tags_index: Optional[TimeIntervalsTagsIndex] = Field(None, description="""Index for tags.""")
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timeseries: Optional[TimeIntervalsTimeseries] = Field(None, description="""An index into a TimeSeries object.""")
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timeseries_index: Optional[TimeIntervalsTimeseriesIndex] = Field(None, description="""Index for timeseries.""")
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colnames: Optional[str] = Field(None, description="""The names of the columns in this table. This should be used to specify an order to the columns.""")
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description: Optional[str] = Field(None, description="""Description of what is in this dynamic table.""")
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id: DynamicTableId = Field(..., description="""Array of unique identifiers for the rows of this dynamic table.""")
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VectorData: Optional[List[VectorData]] = Field(default_factory=list, description="""Vector columns, including index columns, of this dynamic table.""")
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# Update forward refs
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# see https://pydantic-docs.helpmanual.io/usage/postponed_annotations/
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TimeIntervals.update_forward_refs()
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