Vb/remove p3.8 plt 502

.github/actions/lbox-matrix/index.js

@@ -26811,11 +26811,6 @@ const core = __nccwpck_require__(8611);
 try {
   const files = JSON.parse(core.getInput('files-changed'));
   const startingMatrix = [
-    {
-      "python-version": "3.8",
-      "api-key": "STAGING_LABELBOX_API_KEY_2",
-      "da-test-key": "DA_GCP_LABELBOX_API_KEY"
-    },
     {
       "python-version": "3.9",
       "api-key": "STAGING_LABELBOX_API_KEY_3",

.github/workflows/lbox-develop.yml

@@ -90,7 +90,7 @@ jobs:
       - uses: ./.github/actions/python-package-shared-setup
         with:
           rye-version: ${{ vars.RYE_VERSION }}
-          python-version: '3.8'
+          python-version: '3.9'
       - name: Create build
         id: create-build
         working-directory: libs/${{ matrix.package }}

.github/workflows/publish.yml

@@ -71,9 +71,6 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - python-version: 3.8
-            prod-key: PROD_LABELBOX_API_KEY_2
-            da-test-key: DA_GCP_LABELBOX_API_KEY
           - python-version: 3.9
             prod-key: PROD_LABELBOX_API_KEY_3
             da-test-key: DA_GCP_LABELBOX_API_KEY

.github/workflows/python-package-develop.yml

@@ -44,7 +44,7 @@ jobs:
       - name: Get Latest SDK versions
         id: get_sdk_versions
         run: |
-          sdk_versions=$(git tag --list --sort=-version:refname "v.*" | head -n 4 | jq -R -s -c 'split("\n")[:-1]')
+          sdk_versions=$(git tag --list --sort=-version:refname "v.*" | head -n 3 | jq -R -s -c 'split("\n")[:-1]')
           if [ -z "$sdk_versions" ]; then
             echo "No tags found"
             exit 1
@@ -58,10 +58,6 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - python-version: 3.8
-            api-key: STAGING_LABELBOX_API_KEY_2
-            da-test-key: DA_GCP_LABELBOX_API_KEY
-            sdk-version: ${{ fromJson(needs.get_sdk_versions.outputs.sdk_versions)[3] }}
           - python-version: 3.9
             api-key: STAGING_LABELBOX_API_KEY_3
             da-test-key: DA_GCP_LABELBOX_API_KEY
@@ -103,7 +99,7 @@ jobs:
       - uses: ./.github/actions/python-package-shared-setup
         with:
           rye-version: ${{ vars.RYE_VERSION }}
-          python-version: '3.8'
+          python-version: '3.9'
       - name: Create build
         id: create-build
         working-directory: libs/labelbox

.github/workflows/python-package-prod.yml

@@ -13,9 +13,6 @@ jobs:
       fail-fast: false
       matrix:
         include:
-          - python-version: 3.8
-            api-key: PROD_LABELBOX_API_KEY_2
-            da-test-key: DA_GCP_LABELBOX_API_KEY
           - python-version: 3.9
             api-key: PROD_LABELBOX_API_KEY_3
             da-test-key: DA_GCP_LABELBOX_API_KEY

.python-version

@@ -1 +1 @@
-3.8.18
+3.9.18

examples/pyproject.toml

@@ -5,7 +5,7 @@ description = "Labelbox Python Example Notebooks"
 authors = [{ name = "Labelbox", email = "docs@labelbox.com" }]
 readme = "README.md"
 # Python version matches labelbox SDK
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 dependencies = []
 
 [project.urls]
@@ -22,8 +22,8 @@ dev-dependencies = [
     "yapf>=0.40.2",
     "black[jupyter]>=24.4.2",
     "databooks>=1.3.10",
-    # higher versions dont support python 3.8
-    "pandas>=2.0.3",
+    # higher versions dont support python 3.9
+    "pandas>=2.2.3",
 ]
 
 [tool.rye.scripts]

libs/labelbox/Dockerfile

@@ -1,5 +1,5 @@
 # https://github.com/ucyo/python-package-template/blob/master/Dockerfile
-FROM python:3.8-slim as rye
+FROM python:3.9-slim as rye
 
 ENV LANG="C.UTF-8" \
     LC_ALL="C.UTF-8" \
@@ -38,7 +38,7 @@ WORKDIR /home/python/labelbox-python
 
 RUN rye config --set-bool behavior.global-python=true && \
     rye config --set-bool behavior.use-uv=true && \
-    rye pin 3.8 && \
+    rye pin 3.9 && \
     rye sync
 
 CMD cd libs/labelbox && rye run integration && rye sync -f --features labelbox/data && rye run unit && rye run data

libs/labelbox/pyproject.toml

@@ -15,7 +15,7 @@ dependencies = [
     "lbox-clients==1.1.0",
 ]
 readme = "README.md"
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 classifiers = [
     # How mature is this project?
     "Development Status :: 5 - Production/Stable",
@@ -29,7 +29,6 @@ classifiers = [
     "License :: OSI Approved :: Apache Software License",
     # Specify the Python versions you support here.
     "Programming Language :: Python :: 3",
-    "Programming Language :: Python :: 3.8",
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",

libs/labelbox/src/labelbox/annotated_types.py

@@ -1,6 +1,5 @@
-from typing_extensions import Annotated
+from typing import Annotated
 
 from pydantic import Field
 
-
 Cuid = Annotated[str, Field(min_length=25, max_length=25)]

libs/labelbox/src/labelbox/data/annotation_types/data/raster.py

@@ -1,6 +1,6 @@
 from abc import ABC
 from io import BytesIO
-from typing import Callable, Optional, Union
+from typing import Callable, Literal, Optional, Union
 
 import numpy as np
 import requests
@@ -9,9 +9,6 @@
 from PIL import Image
 from pydantic import BaseModel, ConfigDict, model_validator
 from requests.exceptions import ConnectTimeout
-from typing_extensions import Literal
-
-from pydantic import BaseModel, model_validator, ConfigDict
 
 from ..types import TypedArray
 

libs/labelbox/src/labelbox/data/annotation_types/geometry/mask.py

@@ -1,15 +1,13 @@
-from typing import Callable, Optional, Tuple, Union, Dict, List
+from typing import Callable, Dict, List, Optional, Tuple, Union
 
-import numpy as np
 import cv2
-
+import numpy as np
+from pydantic import field_validator
 from shapely.geometry import MultiPolygon, Polygon
 
 from ..data import MaskData
 from .geometry import Geometry
 
-from pydantic import field_validator
-
 
 class Mask(Geometry):
     """Mask used to represent a single class in a larger segmentation mask
@@ -91,7 +89,7 @@ def draw(
                 as opposed to the mask that this object references which might have multiple objects determined by colors
         """
         mask = self.mask.value
-        mask = np.alltrue(mask == self.color, axis=2).astype(np.uint8)
+        mask = np.all(mask == self.color, axis=2).astype(np.uint8)
 
         if height is not None or width is not None:
             mask = cv2.resize(

libs/labelbox/src/labelbox/data/annotation_types/metrics/scalar.py

@@ -1,11 +1,10 @@
-from typing import Dict, Optional, Union
-from typing_extensions import Annotated
 from enum import Enum
+from typing import Annotated, Dict, Optional, Union
 
 from pydantic import field_validator
 from pydantic.types import confloat
 
-from .base import ConfidenceValue, BaseMetric
+from .base import BaseMetric, ConfidenceValue
 
 ScalarMetricValue = Annotated[float, confloat(ge=0, le=100_000_000)]
 ScalarMetricConfidenceValue = Dict[ConfidenceValue, ScalarMetricValue]

libs/labelbox/src/labelbox/data/annotation_types/types.py

@@ -1,11 +1,9 @@
 import sys
-from typing import Generic, TypeVar, Any
+from typing import Annotated, Any, Generic, TypeVar
 
-from typing_extensions import Annotated
-from packaging import version
 import numpy as np
-
-from pydantic import StringConstraints, Field, ConfigDict
+from packaging import version
+from pydantic import ConfigDict, Field, StringConstraints
 from pydantic_core import core_schema
 
 DType = TypeVar("DType")

libs/labelbox/src/labelbox/data/metrics/group.py

@@ -16,10 +16,10 @@
 try:
     from typing import Literal
 except ImportError:
-    from typing_extensions import Literal
+    from typing import Literal
 
+from ..annotation_types import ClassificationAnnotation, Label, ObjectAnnotation
 from ..annotation_types.feature import FeatureSchema
-from ..annotation_types import ObjectAnnotation, ClassificationAnnotation, Label
 
 
 def get_identifying_key(

libs/labelbox/src/labelbox/project_validation.py

@@ -1,7 +1,6 @@
-from typing import Optional, Set
+from typing import Annotated, Optional, Set
 
 from pydantic import BaseModel, ConfigDict, Field, model_validator
-from typing_extensions import Annotated
 
 from labelbox.schema.media_type import MediaType
 from labelbox.schema.ontology_kind import EditorTaskType

libs/labelbox/src/labelbox/schema/data_row_metadata.py

@@ -1,35 +1,35 @@
 # type: ignore
-from datetime import datetime
+import warnings
 from copy import deepcopy
+from datetime import datetime
 from enum import Enum
 from itertools import chain
-import warnings
-
 from typing import (
+    Annotated,
+    Any,
+    Callable,
+    Dict,
+    Generator,
     List,
     Optional,
-    Dict,
-    Union,
-    Callable,
     Type,
-    Any,
-    Generator,
+    Union,
     overload,
 )
-from typing_extensions import Annotated
 
-from labelbox.schema.identifiables import DataRowIdentifiers, UniqueIds
-from labelbox.schema.identifiable import UniqueId, GlobalKey
 from pydantic import (
     BaseModel,
+    BeforeValidator,
+    ConfigDict,
     Field,
     StringConstraints,
     conlist,
-    ConfigDict,
     model_serializer,
-    BeforeValidator,
 )
+from typing_extensions import Annotated
 
+from labelbox.schema.identifiable import GlobalKey, UniqueId
+from labelbox.schema.identifiables import DataRowIdentifiers, UniqueIds
 from labelbox.schema.ontology import SchemaId
 from labelbox.utils import (
     _CamelCaseMixin,
@@ -424,7 +424,7 @@ def update_enum_option(
         schema = self._validate_custom_schema_by_name(name)
         if schema.kind != DataRowMetadataKind.enum:
             raise ValueError(
-                f"Updating Enum option is only supported for Enum metadata schema"
+                "Updating Enum option is only supported for Enum metadata schema"
             )
         valid_options: List[str] = [o.name for o in schema.options]
 
@@ -758,10 +758,6 @@ def bulk_export(self, data_row_ids) -> List[DataRowMetadata]:
             and isinstance(data_row_ids[0], str)
         ):
             data_row_ids = UniqueIds(data_row_ids)
-            warnings.warn(
-                "Using data row ids will be deprecated. Please use "
-                "UniqueIds or GlobalKeys instead."
-            )
 
         def _bulk_export(
             _data_row_ids: DataRowIdentifiers,

libs/labelbox/src/labelbox/schema/export_filters.py

@@ -1,13 +1,5 @@
-import sys
-
 from datetime import datetime, timezone
-from typing import Collection, Dict, Tuple, List, Optional
-from labelbox.typing_imports import Literal
-
-if sys.version_info >= (3, 8):
-    from typing import TypedDict
-else:
-    from typing_extensions import TypedDict
+from typing import Collection, Dict, List, Literal, Optional, Tuple, TypedDict
 
 SEARCH_LIMIT_PER_EXPORT_V2 = 2_000
 ISO_8061_FORMAT = "%Y-%m-%dT%H:%M:%S%z"

libs/labelbox/src/labelbox/schema/export_params.py

@@ -1,14 +1,7 @@
-import sys
-
-from typing import Optional, List
+from typing import List, Optional, TypedDict
 
 from labelbox.schema.media_type import MediaType
 
-if sys.version_info >= (3, 8):
-    from typing import TypedDict
-else:
-    from typing_extensions import TypedDict
-
 EXPORT_LIMIT = 30
 
 

libs/labelbox/src/labelbox/schema/ontology.py

@@ -5,11 +5,10 @@
 import warnings
 from dataclasses import dataclass, field
 from enum import Enum
-from typing import Any, Dict, List, Optional, Type, Union
+from typing import Annotated, Any, Dict, List, Optional, Type, Union
 
 from lbox.exceptions import InconsistentOntologyException
 from pydantic import StringConstraints
-from typing_extensions import Annotated
 
 from labelbox.orm.db_object import DbObject
 from labelbox.orm.model import Field, Relationship

libs/labelbox/src/labelbox/schema/project.py

@@ -1339,10 +1339,6 @@ def update_data_row_labeling_priority(
 
         if isinstance(data_rows, list):
             data_rows = UniqueIds(data_rows)
-            warnings.warn(
-                "Using data row ids will be deprecated. Please use "
-                "UniqueIds or GlobalKeys instead."
-            )
 
         method = "createQueuePriorityUpdateTask"
         priority_param = "priority"
@@ -1513,10 +1509,6 @@ def move_data_rows_to_task_queue(self, data_row_ids, task_queue_id: str):
         """
         if isinstance(data_row_ids, list):
             data_row_ids = UniqueIds(data_row_ids)
-            warnings.warn(
-                "Using data row ids will be deprecated. Please use "
-                "UniqueIds or GlobalKeys instead."
-            )
 
         method = "createBulkAddRowsToQueueTask"
         query_str = (

libs/labelbox/src/labelbox/schema/project_overview.py

@@ -1,6 +1,7 @@
 from typing import Dict, List
-from typing_extensions import TypedDict
+
 from pydantic import BaseModel
+from typing_extensions import TypedDict
 
 
 class ProjectOverview(BaseModel):

libs/labelbox/src/labelbox/schema/search_filters.py

@@ -1,11 +1,15 @@
 import datetime
 from enum import Enum
-from typing import List, Union
-from pydantic import PlainSerializer, BaseModel, Field
+from typing import Annotated, List, Union
 
-from typing_extensions import Annotated
+from pydantic import (
+    BaseModel,
+    ConfigDict,
+    Field,
+    PlainSerializer,
+    field_validator,
+)
 
-from pydantic import BaseModel, Field, field_validator, ConfigDict
 from labelbox.schema.labeling_service_status import LabelingServiceStatus
 from labelbox.utils import format_iso_datetime