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Jon Duckworth
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Merge pull request #484 from duckontheweb/add/label-ext-summaries
Add Label Extension summaries
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‎CHANGELOG.md‎

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### Added
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- (Experimental) support for Python 3.10 ([#473](https://github.com/stac-utils/pystac/pull/473))
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- `LabelTask` enum in `pystac.extensions.label` with recommended values for
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`"label:tasks"` field ([#484](https://github.com/stac-utils/pystac/pull/484))
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- `LabelMethod` enum in `pystac.extensions.label` with recommended values for
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`"label:methods"` field ([#484](https://github.com/stac-utils/pystac/pull/484))
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- Label Extension summaries ([#484](https://github.com/stac-utils/pystac/pull/484))
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### Changed
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‎pystac/extensions/label.py‎

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"""
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from enum import Enum
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from pystac.extensions.base import ExtensionManagementMixin
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from pystac.extensions.base import ExtensionManagementMixin, SummariesExtension
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from typing import Any, Dict, Iterable, List, Optional, Set, Union, cast
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import pystac
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from pystac.serialization.identify import STACJSONDescription, STACVersionID
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from pystac.extensions.hooks import ExtensionHooks
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from pystac.utils import get_required
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from pystac.utils import get_required, map_opt
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SCHEMA_URI = "https://stac-extensions.github.io/label/v1.0.0/schema.json"
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@@ -52,6 +52,28 @@ def __str__(self) -> str:
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"""Convenience attribute for checking if values are valid label types"""
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class LabelTask(str, Enum):
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"""Enumerates recommended values for "label:tasks" field."""
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def __str__(self) -> str:
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return str(self.value)
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REGRESSION = "regression"
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CLASSIFICATION = "classification"
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DETECTION = "detection"
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SEGMENTATION = "segmentation"
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class LabelMethod(str, Enum):
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"""Enumerates recommended values for "label:methods" field."""
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def __str__(self) -> str:
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return str(self.value)
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AUTOMATED = "automated"
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MANUAL = "manual"
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class LabelClasses:
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"""Defines the list of possible class names (e.g., tree, building, car, hippo).
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@@ -121,6 +143,15 @@ def __repr__(self) -> str:
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",".join([str(x) for x in self.classes])
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)
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def __eq__(self, o: object) -> bool:
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if isinstance(o, LabelClasses):
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o = o.to_dict()
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if not isinstance(o, dict):
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return NotImplemented
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return self.to_dict() == o
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def to_dict(self) -> Dict[str, Any]:
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"""Returns the dictionary representing the JSON of this instance."""
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return self.properties
@@ -180,6 +211,15 @@ def to_dict(self) -> Dict[str, Any]:
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"""Returns the dictionary representing the JSON of this instance."""
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return self.properties
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def __eq__(self, o: object) -> bool:
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if isinstance(o, LabelCount):
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o = o.to_dict()
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if not isinstance(o, dict):
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return NotImplemented
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return self.to_dict() == o
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class LabelStatistics:
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"""Contains statistics for regression/continuous numeric value data.
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"""Returns the dictionary representing the JSON of this LabelStatistics."""
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return self.properties
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def __eq__(self, o: object) -> bool:
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if isinstance(o, LabelStatistics):
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o = o.to_dict()
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if not isinstance(o, dict):
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return NotImplemented
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return self.to_dict() == o
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class LabelOverview:
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"""Stores counts (for classification-type data) or summary statistics (for
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"""Returns the dictionary representing the JSON of this LabelOverview."""
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return self.properties
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def __eq__(self, o: object) -> bool:
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if isinstance(o, LabelOverview):
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o = o.to_dict()
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if not isinstance(o, dict):
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return NotImplemented
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return self.to_dict() == o
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class LabelExtension(ExtensionManagementMixin[pystac.Item]):
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"""A class that can be used to extend the properties of an
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label_type: LabelType,
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label_properties: Optional[List[str]] = None,
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label_classes: Optional[List[LabelClasses]] = None,
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label_tasks: Optional[List[str]] = None,
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label_methods: Optional[List[str]] = None,
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label_tasks: Optional[List[Union[LabelTask, str]]] = None,
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label_methods: Optional[List[Union[LabelMethod, str]]] = None,
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label_overviews: Optional[List[LabelOverview]] = None,
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) -> None:
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"""Applies label extension properties to the extended Item.
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self.obj.properties[CLASSES_PROP] = classes
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@property
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def label_tasks(self) -> Optional[List[str]]:
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def label_tasks(self) -> Optional[List[Union[LabelTask, str]]]:
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"""Gets or set a list of tasks these labels apply to. Usually a subset of 'regression',
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'classification', 'detection', or 'segmentation', but may be arbitrary
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values."""
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return self.obj.properties.get(TASKS_PROP)
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@label_tasks.setter
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def label_tasks(self, v: Optional[List[str]]) -> None:
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def label_tasks(self, v: Optional[List[Union[LabelTask, str]]]) -> None:
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if v is None:
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self.obj.properties.pop(TASKS_PROP, None)
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else:
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self.obj.properties[TASKS_PROP] = v
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@property
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def label_methods(self) -> Optional[List[str]]:
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def label_methods(self) -> Optional[List[Union[LabelMethod, str]]]:
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"""Gets or set a list of methods used for labeling.
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Usually a subset of 'automated' or 'manual', but may be arbitrary values."""
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return self.obj.properties.get("label:methods")
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@label_methods.setter
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def label_methods(self, v: Optional[List[str]]) -> None:
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def label_methods(self, v: Optional[List[Union[LabelMethod, str]]]) -> None:
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if v is None:
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self.obj.properties.pop("label:methods", None)
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else:
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f"Label extension does not apply to type {type(obj)}"
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)
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@staticmethod
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def summaries(obj: pystac.Collection) -> "SummariesLabelExtension":
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"""Returns the extended summaries object for the given collection."""
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return SummariesLabelExtension(obj)
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class SummariesLabelExtension(SummariesExtension):
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"""A concrete implementation of :class:`~SummariesExtension` that extends
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the ``summaries`` field of a :class:`~pystac.Collection` to include properties
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defined in the :stac-ext:`Label Extension <label>`.
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"""
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@property
729+
def label_properties(self) -> Optional[List[str]]:
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"""Get or sets the summary of :attr:`LabelExtension.label_properties` values
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for this Collection.
732+
"""
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return self.summaries.get_list(PROPERTIES_PROP)
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@label_properties.setter
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def label_properties(self, v: Optional[List[LabelClasses]]) -> None:
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self._set_summary(PROPERTIES_PROP, v)
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@property
741+
def label_classes(self) -> Optional[List[LabelClasses]]:
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"""Get or sets the summary of :attr:`LabelExtension.label_classes` values
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for this Collection.
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"""
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return map_opt(
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lambda classes: [LabelClasses(c) for c in classes],
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self.summaries.get_list(CLASSES_PROP),
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)
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@label_classes.setter
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def label_classes(self, v: Optional[List[LabelClasses]]) -> None:
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self._set_summary(
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CLASSES_PROP, map_opt(lambda classes: [c.to_dict() for c in classes], v)
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)
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@property
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def label_type(self) -> Optional[List[LabelType]]:
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"""Get or sets the summary of :attr:`LabelExtension.label_type` values
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for this Collection.
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"""
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763+
return self.summaries.get_list(TYPE_PROP)
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@label_type.setter
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def label_type(self, v: Optional[List[LabelType]]) -> None:
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self._set_summary(TYPE_PROP, v)
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@property
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def label_tasks(self) -> Optional[List[Union[LabelTask, str]]]:
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"""Get or sets the summary of :attr:`LabelExtension.label_tasks` values
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for this Collection.
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"""
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return self.summaries.get_list(TASKS_PROP)
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@label_tasks.setter
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def label_tasks(self, v: Optional[List[Union[LabelTask, str]]]) -> None:
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self._set_summary(TASKS_PROP, v)
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@property
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def label_methods(self) -> Optional[List[Union[LabelMethod, str]]]:
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"""Get or sets the summary of :attr:`LabelExtension.label_methods` values
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for this Collection.
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"""
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return self.summaries.get_list(METHODS_PROP)
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@label_methods.setter
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def label_methods(self, v: Optional[List[Union[LabelMethod, str]]]) -> None:
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self._set_summary(METHODS_PROP, v)
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class LabelExtensionHooks(ExtensionHooks):
660795
schema_uri: str = SCHEMA_URI

‎tests/data-files/label/spacenet-roads/roads_collection.json‎

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{
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"stac_version": "1.0.0-rc.1",
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"type": "Collection",
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"id": "spacenet-roads-sample",
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"description": "A sample of the SpaceNet Roads dataset built during STAC Sprint 4. The dataset contains hand-labeled roads.",
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"keywords": [
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"spacenet",
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"roads",
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"labels"
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],
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"license": "CC-BY-SA-4.0",
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"providers": [
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{
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"name": "SpaceNet",
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"roles": [
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"licensor",
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"host",
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"producer",
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"processor"
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],
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"url": "https://spacenet.ai"
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}
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],
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"extent": {
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"spatial": {
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"bbox": [
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[
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2.23379639995,
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49.0178709,
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2.23730639995,
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49.0213809
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]
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]
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},
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"temporal": {
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"interval": [
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[
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"2016-08-26T22:41:55.000000Z",
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null
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]
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]
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}
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},
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"links": [
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{
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"href": "roads_collection.json",
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"rel": "root",
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"title": "sample SpaceNet roads label collection"
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},
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{
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"rel": "item",
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"href": "roads_item.json"
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}
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]
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}

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