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regenerate models

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sneakers-the-rat 2024-08-12 19:25:48 -07:00
parent 994b79e0f2
commit dd99ac24eb
Signed by untrusted user who does not match committer: jonny
GPG key ID: 6DCB96EF1E4D232D
109 changed files with 1182 additions and 273 deletions
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20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

16
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_epoch.py
View file

@ -15,9 +15,9 @@ from pydantic import (
ValidationInfo,
BeforeValidator,
)
from numpydantic import NDArray, Shape
from ...hdmf_common.v1_1_0.hdmf_common_table import DynamicTable, VectorIndex, VectorData
from ...core.v2_2_0.core_nwb_base import TimeSeries
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "2.2.0"
@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_icephys.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_ophys.py
View file

@ -70,7 +70,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_0/core_nwb_retinotopy.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

16
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_epoch.py
View file

@ -15,9 +15,9 @@ from pydantic import (
ValidationInfo,
BeforeValidator,
)
from numpydantic import NDArray, Shape
from ...hdmf_common.v1_1_2.hdmf_common_table import DynamicTable, VectorIndex, VectorData
from ...core.v2_2_1.core_nwb_base import TimeSeries
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "2.2.1"
@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_icephys.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_ophys.py
View file

@ -70,7 +70,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_1/core_nwb_retinotopy.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_icephys.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_2/core_nwb_ophys.py
View file

@ -70,7 +70,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_icephys.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_4/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -410,9 +410,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -437,10 +449,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -411,9 +411,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -181,16 +181,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_icephys.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_2_5/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -412,9 +412,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -439,10 +451,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -178,16 +178,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_icephys.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_3_0/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -418,9 +418,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -445,10 +457,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

12
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_base.py
View file

@ -90,15 +90,21 @@ class TimeSeriesReferenceVectorData(VectorData):
name: str = Field(
"timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
)
idx_start: int = Field(
idx_start: NDArray[Shape["*"], int] = Field(
...,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: int = Field(
count: NDArray[Shape["*"], int] = Field(
...,
description="""Number of data samples available in this time series, during this epoch""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: NDArray[Shape["*"], TimeSeries] = Field(
...,
description="""The TimeSeries that this index applies to""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -178,16 +178,20 @@ class TimeIntervalsTimeseries(VectorData):
"linkml_meta": {"equals_string": "timeseries", "ifabsent": "string(timeseries)"}
},
)
idx_start: Optional[int] = Field(
idx_start: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: Optional[int] = Field(
count: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Number of data samples available in this time series, during this epoch.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: Optional[TimeSeries] = Field(
None, description="""the TimeSeries that this index applies to."""
timeseries: Optional[NDArray[Shape["*"], TimeSeries]] = Field(
None,
description="""the TimeSeries that this index applies to.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_icephys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_4_0/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -418,9 +418,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -445,10 +457,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_base.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -114,15 +114,21 @@ class TimeSeriesReferenceVectorData(VectorData):
name: str = Field(
"timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
)
idx_start: int = Field(
idx_start: NDArray[Shape["*"], int] = Field(
...,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: int = Field(
count: NDArray[Shape["*"], int] = Field(
...,
description="""Number of data samples available in this time series, during this epoch""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: NDArray[Shape["*"], TimeSeries] = Field(
...,
description="""The TimeSeries that this index applies to""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_icephys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_5_0/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -418,9 +418,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -445,10 +457,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_base.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -114,15 +114,21 @@ class TimeSeriesReferenceVectorData(VectorData):
name: str = Field(
"timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
)
idx_start: int = Field(
idx_start: NDArray[Shape["*"], int] = Field(
...,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: int = Field(
count: NDArray[Shape["*"], int] = Field(
...,
description="""Number of data samples available in this time series, during this epoch""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: NDArray[Shape["*"], TimeSeries] = Field(
...,
description="""The TimeSeries that this index applies to""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_icephys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_6_0_alpha/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -517,9 +517,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -544,10 +556,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

14
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_base.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -114,15 +114,21 @@ class TimeSeriesReferenceVectorData(VectorData):
name: str = Field(
"timeseries", json_schema_extra={"linkml_meta": {"ifabsent": "string(timeseries)"}}
)
idx_start: int = Field(
idx_start: NDArray[Shape["*"], int] = Field(
...,
description="""Start index into the TimeSeries 'data' and 'timestamp' datasets of the referenced TimeSeries. The first dimension of those arrays is always time.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
count: int = Field(
count: NDArray[Shape["*"], int] = Field(
...,
description="""Number of data samples available in this time series, during this epoch""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: NDArray[Shape["*"], TimeSeries] = Field(
...,
description="""The TimeSeries that this index applies to""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
timeseries: TimeSeries = Field(..., description="""The TimeSeries that this index applies to""")
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

20
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_ecephys.py
View file

@ -69,7 +69,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -419,9 +419,21 @@ class ElectrodeGroupPosition(ConfiguredBaseModel):
"linkml_meta": {"equals_string": "position", "ifabsent": "string(position)"}
},
)
x: Optional[float] = Field(None, description="""x coordinate""")
y: Optional[float] = Field(None, description="""y coordinate""")
z: Optional[float] = Field(None, description="""z coordinate""")
x: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""x coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""y coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""z coordinate""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
class ClusterWaveforms(NWBDataInterface):

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_epoch.py
View file

@ -62,7 +62,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_icephys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

2
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_misc.py
View file

@ -68,7 +68,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name

44
nwb_linkml/src/nwb_linkml/models/pydantic/core/v2_7_0/core_nwb_ophys.py
View file

@ -75,7 +75,7 @@ ModelType = TypeVar("ModelType", bound=Type[BaseModel])
def _get_name(item: ModelType | dict, info: ValidationInfo) -> Union[ModelType, dict]:
"""Get the name of the slot that refers to this object"""
assert isinstance(item, (BaseModel, dict))
assert isinstance(item, (BaseModel, dict)), f"{item} was not a BaseModel or a dict!"
name = info.field_name
if isinstance(item, BaseModel):
item.name = name
@ -517,9 +517,21 @@ class PlaneSegmentationPixelMask(VectorData):
"linkml_meta": {"equals_string": "pixel_mask", "ifabsent": "string(pixel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Pixel x-coordinate.""")
y: Optional[int] = Field(None, description="""Pixel y-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the pixel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Pixel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the pixel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[
@ -544,10 +556,26 @@ class PlaneSegmentationVoxelMask(VectorData):
"linkml_meta": {"equals_string": "voxel_mask", "ifabsent": "string(voxel_mask)"}
},
)
x: Optional[int] = Field(None, description="""Voxel x-coordinate.""")
y: Optional[int] = Field(None, description="""Voxel y-coordinate.""")
z: Optional[int] = Field(None, description="""Voxel z-coordinate.""")
weight: Optional[float] = Field(None, description="""Weight of the voxel.""")
x: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel x-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
y: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel y-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
z: Optional[NDArray[Shape["*"], int]] = Field(
None,
description="""Voxel z-coordinate.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
weight: Optional[NDArray[Shape["*"], float]] = Field(
None,
description="""Weight of the voxel.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
description: str = Field(..., description="""Description of what these vectors represent.""")
value: Optional[
Union[

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_1_0/hdmf_common_table.py
View file

@ -414,7 +414,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_1_2/hdmf_common_table.py
View file

@ -414,7 +414,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_1_3/hdmf_common_table.py
View file

@ -414,7 +414,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_2_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_2_1/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

44
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_3_0/hdmf_common_resources.py
View file

@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np
from ...hdmf_common.v1_3_0.hdmf_common_base import Container, Data
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "1.3.0"
@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
return key in self.root
NUMPYDANTIC_VERSION = "1.2.1"
linkml_meta = LinkMLMeta(
{
"annotations": {
@ -96,9 +98,10 @@ class ExternalResourcesKeys(Data):
"keys",
json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
)
key_name: str = Field(
key_name: NDArray[Shape["*"], str] = Field(
...,
description="""The user term that maps to one or more resources in the 'resources' table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -115,17 +118,25 @@ class ExternalResourcesResources(Data):
"linkml_meta": {"equals_string": "resources", "ifabsent": "string(resources)"}
},
)
keytable_idx: int = Field(..., description="""The index to the key in the 'keys' table.""")
resource_name: str = Field(
keytable_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the key in the 'keys' table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
resource_name: NDArray[Shape["*"], str] = Field(
...,
description="""The name of the online resource (e.g., website, database) that has the entity.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
resource_id: str = Field(
..., description="""The unique identifier for the resource entity at the resource."""
resource_id: NDArray[Shape["*"], str] = Field(
...,
description="""The unique identifier for the resource entity at the resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
uri: str = Field(
uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the resource entity this reference applies to. This can be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -142,10 +153,15 @@ class ExternalResourcesObjects(Data):
"linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
},
)
object_id: str = Field(..., description="""The UUID for the object.""")
field: str = Field(
object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The UUID for the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
field: NDArray[Shape["*"], str] = Field(
...,
description="""The field of the object. This can be an empty string if the object is a dataset and the field is the dataset values.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -162,10 +178,16 @@ class ExternalResourcesObjectKeys(Data):
"linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
},
)
objecttable_idx: int = Field(
..., description="""The index to the 'objects' table for the object that holds the key."""
objecttable_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the 'objects' table for the object that holds the key.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keytable_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the 'keys' table for the key.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keytable_idx: int = Field(..., description="""The index to the 'keys' table for the key.""")
# Model rebuild

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_3_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_4_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_5_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_5_1/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_6_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_7_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

2
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_common/v1_8_0/hdmf_common_table.py
View file

@ -415,7 +415,7 @@ class DynamicTableMixin(BaseModel):
return model
@model_validator(mode="after")
def cast_extra_columns(self):
def cast_extra_columns(self) -> "DynamicTableMixin":
"""
If extra columns are passed as just lists or arrays, cast to VectorData
before we resolve targets for VectorData and VectorIndex pairs.

59
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_1_0/hdmf_experimental_resources.py
View file

@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np
from ...hdmf_common.v1_4_0.hdmf_common_base import Container, Data
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "0.1.0"
@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
return key in self.root
NUMPYDANTIC_VERSION = "1.2.1"
linkml_meta = LinkMLMeta(
{
"annotations": {
@ -99,9 +101,10 @@ class ExternalResourcesKeys(Data):
"keys",
json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
)
key: str = Field(
key: NDArray[Shape["*"], str] = Field(
...,
description="""The user term that maps to one or more resources in the 'resources' table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -118,12 +121,25 @@ class ExternalResourcesEntities(Data):
"linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
},
)
keys_idx: int = Field(..., description="""The index to the key in the 'keys' table.""")
resources_idx: int = Field(..., description="""The index into the 'resources' table""")
entity_id: str = Field(..., description="""The unique identifier entity.""")
entity_uri: str = Field(
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the key in the 'keys' table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
resources_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index into the 'resources' table""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_id: NDArray[Shape["*"], str] = Field(
...,
description="""The unique identifier entity.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the entity this reference applies to. This can be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -140,9 +156,15 @@ class ExternalResourcesResources(Data):
"linkml_meta": {"equals_string": "resources", "ifabsent": "string(resources)"}
},
)
resource: str = Field(..., description="""The name of the resource.""")
resource_uri: str = Field(
..., description="""The URI for the resource. This can be an empty string."""
resource: NDArray[Shape["*"], str] = Field(
...,
description="""The name of the resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
resource_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the resource. This can be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -159,10 +181,15 @@ class ExternalResourcesObjects(Data):
"linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
},
)
object_id: str = Field(..., description="""The UUID for the object.""")
field: str = Field(
object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The UUID for the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
field: NDArray[Shape["*"], str] = Field(
...,
description="""The field of the object. This can be an empty string if the object is a dataset and the field is the dataset values.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -179,10 +206,16 @@ class ExternalResourcesObjectKeys(Data):
"linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
},
)
objects_idx: int = Field(
..., description="""The index to the 'objects' table for the object that holds the key."""
objects_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the 'objects' table for the object that holds the key.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the 'keys' table for the key.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The index to the 'keys' table for the key.""")
# Model rebuild

62
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_2_0/hdmf_experimental_resources.py
View file

@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np
from ...hdmf_common.v1_5_1.hdmf_common_base import Container, Data
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "0.2.0"
@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
return key in self.root
NUMPYDANTIC_VERSION = "1.2.1"
linkml_meta = LinkMLMeta(
{
"annotations": {
@ -99,9 +101,10 @@ class ExternalResourcesKeys(Data):
"keys",
json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
)
key: str = Field(
key: NDArray[Shape["*"], str] = Field(
...,
description="""The user term that maps to one or more resources in the 'resources' table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -118,12 +121,25 @@ class ExternalResourcesEntities(Data):
"linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
},
)
keys_idx: int = Field(..., description="""The index to the key in the 'keys' table.""")
resources_idx: int = Field(..., description="""The index into the 'resources' table""")
entity_id: str = Field(..., description="""The unique identifier entity.""")
entity_uri: str = Field(
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the key in the 'keys' table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
resources_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index into the 'resources' table""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_id: NDArray[Shape["*"], str] = Field(
...,
description="""The unique identifier entity.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the entity this reference applies to. This can be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -140,9 +156,15 @@ class ExternalResourcesResources(Data):
"linkml_meta": {"equals_string": "resources", "ifabsent": "string(resources)"}
},
)
resource: str = Field(..., description="""The name of the resource.""")
resource_uri: str = Field(
..., description="""The URI for the resource. This can be an empty string."""
resource: NDArray[Shape["*"], str] = Field(
...,
description="""The name of the resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
resource_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the resource. This can be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -159,14 +181,20 @@ class ExternalResourcesObjects(Data):
"linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
},
)
object_id: str = Field(..., description="""The UUID for the object.""")
relative_path: str = Field(
object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The UUID for the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
relative_path: NDArray[Shape["*"], str] = Field(
...,
description="""The relative path from the container with the object_id to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the container is a dataset which contains the value(s) that is associated with an external resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
field: str = Field(
field: NDArray[Shape["*"], str] = Field(
...,
description="""The field of the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -183,10 +211,16 @@ class ExternalResourcesObjectKeys(Data):
"linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
},
)
objects_idx: int = Field(
..., description="""The index to the 'objects' table for the object that holds the key."""
objects_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the 'objects' table for the object that holds the key.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The index to the 'keys' table for the key.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The index to the 'keys' table for the key.""")
# Model rebuild

56
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_3_0/hdmf_experimental_resources.py
View file

@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np
from ...hdmf_common.v1_6_0.hdmf_common_base import Container, Data
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "0.3.0"
@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
return key in self.root
NUMPYDANTIC_VERSION = "1.2.1"
linkml_meta = LinkMLMeta(
{
"annotations": {
@ -99,9 +101,10 @@ class ExternalResourcesKeys(Data):
"keys",
json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
)
key: str = Field(
key: NDArray[Shape["*"], str] = Field(
...,
description="""The user term that maps to one or more resources in the `resources` table, e.g., \"human\".""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -116,9 +119,10 @@ class ExternalResourcesFiles(Data):
"files",
json_schema_extra={"linkml_meta": {"equals_string": "files", "ifabsent": "string(files)"}},
)
file_object_id: str = Field(
file_object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The object id (UUID) of a file that contains objects that refers to external resources.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -135,14 +139,20 @@ class ExternalResourcesEntities(Data):
"linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
},
)
keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
entity_id: str = Field(
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the key in the `keys` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_id: NDArray[Shape["*"], str] = Field(
...,
description="""The compact uniform resource identifier (CURIE) of the entity, in the form [prefix]:[unique local identifier], e.g., 'NCBI_TAXON:9606'.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_uri: str = Field(
entity_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the entity this reference applies to. This can be an empty string. e.g., https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=info&id=9606""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -159,18 +169,30 @@ class ExternalResourcesObjects(Data):
"linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
},
)
files_idx: int = Field(
..., description="""The row index to the file in the `files` table containing the object."""
files_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the file in the `files` table containing the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
object_id: str = Field(..., description="""The object id (UUID) of the object.""")
object_type: str = Field(..., description="""The data type of the object.""")
relative_path: str = Field(
object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The object id (UUID) of the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
object_type: NDArray[Shape["*"], str] = Field(
...,
description="""The data type of the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
relative_path: NDArray[Shape["*"], str] = Field(
...,
description="""The relative path from the data object with the `object_id` to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the object is a dataset that contains the value(s) that is associated with an external resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
field: str = Field(
field: NDArray[Shape["*"], str] = Field(
...,
description="""The field within the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -187,10 +209,16 @@ class ExternalResourcesObjectKeys(Data):
"linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
},
)
objects_idx: int = Field(
..., description="""The row index to the object in the `objects` table that holds the key"""
objects_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the object in the `objects` table that holds the key""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the key in the `keys` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
# Model rebuild

62
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_4_0/hdmf_experimental_resources.py
View file

@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np
from ...hdmf_common.v1_7_0.hdmf_common_base import Container, Data
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "0.4.0"
@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
return key in self.root
NUMPYDANTIC_VERSION = "1.2.1"
linkml_meta = LinkMLMeta(
{
"annotations": {
@ -102,9 +104,10 @@ class ExternalResourcesKeys(Data):
"keys",
json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
)
key: str = Field(
key: NDArray[Shape["*"], str] = Field(
...,
description="""The user term that maps to one or more resources in the `resources` table, e.g., \"human\".""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -119,9 +122,10 @@ class ExternalResourcesFiles(Data):
"files",
json_schema_extra={"linkml_meta": {"equals_string": "files", "ifabsent": "string(files)"}},
)
file_object_id: str = Field(
file_object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The object id (UUID) of a file that contains objects that refers to external resources.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -138,13 +142,15 @@ class ExternalResourcesEntities(Data):
"linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
},
)
entity_id: str = Field(
entity_id: NDArray[Shape["*"], str] = Field(
...,
description="""The compact uniform resource identifier (CURIE) of the entity, in the form [prefix]:[unique local identifier], e.g., 'NCBI_TAXON:9606'.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_uri: str = Field(
entity_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the entity this reference applies to. This can be an empty string. e.g., https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=info&id=9606""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -161,18 +167,30 @@ class ExternalResourcesObjects(Data):
"linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
},
)
files_idx: int = Field(
..., description="""The row index to the file in the `files` table containing the object."""
files_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the file in the `files` table containing the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
object_id: str = Field(..., description="""The object id (UUID) of the object.""")
object_type: str = Field(..., description="""The data type of the object.""")
relative_path: str = Field(
object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The object id (UUID) of the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
object_type: NDArray[Shape["*"], str] = Field(
...,
description="""The data type of the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
relative_path: NDArray[Shape["*"], str] = Field(
...,
description="""The relative path from the data object with the `object_id` to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the object is a dataset that contains the value(s) that is associated with an external resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
field: str = Field(
field: NDArray[Shape["*"], str] = Field(
...,
description="""The field within the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -189,10 +207,16 @@ class ExternalResourcesObjectKeys(Data):
"linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
},
)
objects_idx: int = Field(
..., description="""The row index to the object in the `objects` table that holds the key"""
objects_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the object in the `objects` table that holds the key""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the key in the `keys` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
class ExternalResourcesEntityKeys(Data):
@ -208,10 +232,16 @@ class ExternalResourcesEntityKeys(Data):
"linkml_meta": {"equals_string": "entity_keys", "ifabsent": "string(entity_keys)"}
},
)
entities_idx: int = Field(
..., description="""The row index to the entity in the `entities` table."""
entities_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the entity in the `entities` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the key in the `keys` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
# Model rebuild

62
nwb_linkml/src/nwb_linkml/models/pydantic/hdmf_experimental/v0_5_0/hdmf_experimental_resources.py
View file

@ -8,6 +8,7 @@ from typing import Any, ClassVar, List, Literal, Dict, Optional, Union
from pydantic import BaseModel, ConfigDict, Field, RootModel, field_validator
import numpy as np
from ...hdmf_common.v1_8_0.hdmf_common_base import Container, Data
from numpydantic import NDArray, Shape
metamodel_version = "None"
version = "0.5.0"
@ -45,6 +46,7 @@ class LinkMLMeta(RootModel):
return key in self.root
NUMPYDANTIC_VERSION = "1.2.1"
linkml_meta = LinkMLMeta(
{
"annotations": {
@ -102,9 +104,10 @@ class HERDKeys(Data):
"keys",
json_schema_extra={"linkml_meta": {"equals_string": "keys", "ifabsent": "string(keys)"}},
)
key: str = Field(
key: NDArray[Shape["*"], str] = Field(
...,
description="""The user term that maps to one or more resources in the `resources` table, e.g., \"human\".""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -119,9 +122,10 @@ class HERDFiles(Data):
"files",
json_schema_extra={"linkml_meta": {"equals_string": "files", "ifabsent": "string(files)"}},
)
file_object_id: str = Field(
file_object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The object id (UUID) of a file that contains objects that refers to external resources.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -138,13 +142,15 @@ class HERDEntities(Data):
"linkml_meta": {"equals_string": "entities", "ifabsent": "string(entities)"}
},
)
entity_id: str = Field(
entity_id: NDArray[Shape["*"], str] = Field(
...,
description="""The compact uniform resource identifier (CURIE) of the entity, in the form [prefix]:[unique local identifier], e.g., 'NCBI_TAXON:9606'.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
entity_uri: str = Field(
entity_uri: NDArray[Shape["*"], str] = Field(
...,
description="""The URI for the entity this reference applies to. This can be an empty string. e.g., https://www.ncbi.nlm.nih.gov/Taxonomy/Browser/wwwtax.cgi?mode=info&id=9606""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -161,18 +167,30 @@ class HERDObjects(Data):
"linkml_meta": {"equals_string": "objects", "ifabsent": "string(objects)"}
},
)
files_idx: int = Field(
..., description="""The row index to the file in the `files` table containing the object."""
files_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the file in the `files` table containing the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
object_id: str = Field(..., description="""The object id (UUID) of the object.""")
object_type: str = Field(..., description="""The data type of the object.""")
relative_path: str = Field(
object_id: NDArray[Shape["*"], str] = Field(
...,
description="""The object id (UUID) of the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
object_type: NDArray[Shape["*"], str] = Field(
...,
description="""The data type of the object.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
relative_path: NDArray[Shape["*"], str] = Field(
...,
description="""The relative path from the data object with the `object_id` to the dataset or attribute with the value(s) that is associated with an external resource. This can be an empty string if the object is a dataset that contains the value(s) that is associated with an external resource.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
field: str = Field(
field: NDArray[Shape["*"], str] = Field(
...,
description="""The field within the compound data type using an external resource. This is used only if the dataset or attribute is a compound data type; otherwise this should be an empty string.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
@ -189,10 +207,16 @@ class HERDObjectKeys(Data):
"linkml_meta": {"equals_string": "object_keys", "ifabsent": "string(object_keys)"}
},
)
objects_idx: int = Field(
..., description="""The row index to the object in the `objects` table that holds the key"""
objects_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the object in the `objects` table that holds the key""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the key in the `keys` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
class HERDEntityKeys(Data):
@ -208,10 +232,16 @@ class HERDEntityKeys(Data):
"linkml_meta": {"equals_string": "entity_keys", "ifabsent": "string(entity_keys)"}
},
)
entities_idx: int = Field(
..., description="""The row index to the entity in the `entities` table."""
entities_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the entity in the `entities` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: NDArray[Shape["*"], int] = Field(
...,
description="""The row index to the key in the `keys` table.""",
json_schema_extra={"linkml_meta": {"array": {"exact_number_dimensions": 1}}},
)
keys_idx: int = Field(..., description="""The row index to the key in the `keys` table.""")
# Model rebuild

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_0/core.nwb.ecephys.yaml
View file

@ -334,18 +334,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_0/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_1/core.nwb.ecephys.yaml
View file

@ -334,18 +334,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_1/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_2/core.nwb.ecephys.yaml
View file

@ -334,18 +334,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_2/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_4/core.nwb.ecephys.yaml
View file

@ -334,18 +334,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_4/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

14
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_4/core.nwb.ophys.yaml
View file

@ -258,18 +258,24 @@ classes:
x:
name: x
description: Pixel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Pixel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the pixel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
@ -289,24 +295,32 @@ classes:
x:
name: x
description: Voxel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Voxel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
z:
name: z
description: Voxel z-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the voxel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_5/core.nwb.ecephys.yaml
View file

@ -334,18 +334,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_5/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

14
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_2_5/core.nwb.ophys.yaml
View file

@ -258,18 +258,24 @@ classes:
x:
name: x
description: Pixel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Pixel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the pixel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
@ -289,24 +295,32 @@ classes:
x:
name: x
description: Voxel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Voxel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
z:
name: z
description: Voxel z-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the voxel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_3_0/core.nwb.ecephys.yaml
View file

@ -345,18 +345,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_3_0/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

14
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_3_0/core.nwb.ophys.yaml
View file

@ -258,18 +258,24 @@ classes:
x:
name: x
description: Pixel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Pixel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the pixel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
@ -289,24 +295,32 @@ classes:
x:
name: x
description: Voxel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Voxel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
z:
name: z
description: Voxel z-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the voxel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.base.yaml
View file

@ -41,6 +41,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
@ -48,12 +50,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
timeseries:
name: timeseries
description: The TimeSeries that this index applies to
array:
exact_number_dimensions: 1
range: TimeSeries
required: true
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.ecephys.yaml
View file

@ -345,18 +345,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.epoch.yaml
View file

@ -100,6 +100,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
@ -107,12 +109,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch.
array:
exact_number_dimensions: 1
range: int32
required: false
multivalued: false
timeseries:
name: timeseries
description: the TimeSeries that this index applies to.
array:
exact_number_dimensions: 1
range: TimeSeries
required: false
multivalued: false

14
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_4_0/core.nwb.ophys.yaml
View file

@ -258,18 +258,24 @@ classes:
x:
name: x
description: Pixel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Pixel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the pixel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
@ -289,24 +295,32 @@ classes:
x:
name: x
description: Voxel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Voxel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
z:
name: z
description: Voxel z-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the voxel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_5_0/core.nwb.base.yaml
View file

@ -41,6 +41,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
@ -48,12 +50,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
timeseries:
name: timeseries
description: The TimeSeries that this index applies to
array:
exact_number_dimensions: 1
range: TimeSeries
required: true
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_5_0/core.nwb.ecephys.yaml
View file

@ -345,18 +345,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

14
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_5_0/core.nwb.ophys.yaml
View file

@ -258,18 +258,24 @@ classes:
x:
name: x
description: Pixel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Pixel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the pixel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
@ -289,24 +295,32 @@ classes:
x:
name: x
description: Voxel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Voxel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
z:
name: z
description: Voxel z-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the voxel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_6_0_alpha/core.nwb.base.yaml
View file

@ -41,6 +41,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
@ -48,12 +50,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
timeseries:
name: timeseries
description: The TimeSeries that this index applies to
array:
exact_number_dimensions: 1
range: TimeSeries
required: true
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_6_0_alpha/core.nwb.ecephys.yaml
View file

@ -345,18 +345,24 @@ classes:
x:
name: x
description: x coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
y:
name: y
description: y coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
z:
name: z
description: z coordinate
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

14
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_6_0_alpha/core.nwb.ophys.yaml
View file

@ -311,18 +311,24 @@ classes:
x:
name: x
description: Pixel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Pixel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the pixel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false
@ -342,24 +348,32 @@ classes:
x:
name: x
description: Voxel x-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
y:
name: y
description: Voxel y-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
z:
name: z
description: Voxel z-coordinate.
array:
exact_number_dimensions: 1
range: uint32
required: false
multivalued: false
weight:
name: weight
description: Weight of the voxel.
array:
exact_number_dimensions: 1
range: float32
required: false
multivalued: false

6
nwb_linkml/src/nwb_linkml/schema/linkml/core/v2_7_0/core.nwb.base.yaml
View file

@ -41,6 +41,8 @@ classes:
description: Start index into the TimeSeries 'data' and 'timestamp' datasets
of the referenced TimeSeries. The first dimension of those arrays is always
time.
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
@ -48,12 +50,16 @@ classes:
name: count
description: Number of data samples available in this time series, during
this epoch
array:
exact_number_dimensions: 1
range: int32
required: true
multivalued: false
timeseries:
name: timeseries
description: The TimeSeries that this index applies to
array:
exact_number_dimensions: 1
range: TimeSeries
required: true
multivalued: false

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