From f01aa08ed1476e13788911dbdc7e7c696d3aeb3e Mon Sep 17 00:00:00 2001
From: Stefan Amberger <1277330+snamber@users.noreply.github.com>
Date: Fri, 23 Jan 2026 19:49:08 -0700
Subject: [PATCH] Accommodate Pandas 3 breaking changes

---
 matrix.toml                                   |  78 +++++++
 pyproject.toml                                |   7 +
 tilebox-datasets/pyproject.toml               |   8 +-
 .../test_protobuf_xarray.py                   |  13 +-
 .../protobuf_conversion/field_types.py        |  32 ++-
 .../protobuf_conversion/to_protobuf.py        |  20 +-
 .../tilebox/datasets/query/time_interval.py   |   2 +-
 tilebox-grpc/pyproject.toml                   |   3 +-
 tilebox-storage/pyproject.toml                |   9 +-
 tilebox-workflows/pyproject.toml              |   3 +-
 .../tilebox/workflows/jobs/client.py          |   2 +
 uv.lock                                       | 214 +++++++++++-------
 12 files changed, 272 insertions(+), 119 deletions(-)
 create mode 100644 matrix.toml

diff --git a/matrix.toml b/matrix.toml
new file mode 100644
index 0000000..aa706af
--- /dev/null
+++ b/matrix.toml
@@ -0,0 +1,78 @@
+# Matrix test configuration for testing pandas compatibility across Python versions
+# Run with: pymatrix --config matrix.toml
+#
+# Split into scenarios per package due to pytest conftest collision when running
+# multiple packages together (each has tests/conftest.py).
+
+[[scenarios]]
+name = "datasets-pandas2"
+python = ["3.10", "3.11", "3.12", "3.13"]
+test-command = "pytest"
+test-args = ["tilebox-datasets/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["2.2.3"]
+
+[[scenarios]]
+name = "datasets-pandas3"
+python = ["3.11", "3.12", "3.13"]  # pandas 3.0 requires Python 3.11+
+test-command = "pytest"
+test-args = ["tilebox-datasets/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["3.0.0"]
+
+[[scenarios]]
+name = "storage-pandas2"
+python = ["3.10", "3.11", "3.12", "3.13"]
+test-command = "pytest"
+test-args = ["tilebox-storage/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["2.2.3"]
+
+[[scenarios]]
+name = "storage-pandas3"
+python = ["3.11", "3.12", "3.13"]  # pandas 3.0 requires Python 3.11+
+test-command = "pytest"
+test-args = ["tilebox-storage/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["3.0.0"]
+
+[[scenarios]]
+name = "grpc-pandas2"
+python = ["3.10", "3.11", "3.12", "3.13"]
+test-command = "pytest"
+test-args = ["tilebox-grpc/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["2.2.3"]
+
+[[scenarios]]
+name = "grpc-pandas3"
+python = ["3.11", "3.12", "3.13"]  # pandas 3.0 requires Python 3.11+
+test-command = "pytest"
+test-args = ["tilebox-grpc/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["3.0.0"]
+
+[[scenarios]]
+name = "workflows-pandas2"
+python = ["3.10", "3.11", "3.12", "3.13"]
+test-command = "pytest"
+# Ignore FutureWarning: google-cloud-storage raises deprecation warning on Python 3.10
+test-args = ["tilebox-workflows/tests/", "-v", "-W", "ignore::FutureWarning"]
+
+[scenarios.packages]
+pandas = ["2.2.3"]
+
+[[scenarios]]
+name = "workflows-pandas3"
+python = ["3.11", "3.12", "3.13"]  # pandas 3.0 requires Python 3.11+
+test-command = "pytest"
+test-args = ["tilebox-workflows/tests/", "-v"]
+
+[scenarios.packages]
+pandas = ["3.0.0"]
diff --git a/pyproject.toml b/pyproject.toml
index 13b7e62..04faca6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -28,6 +28,13 @@ dev = [
     "junitparser>=3.2.0",
     "ty>=0.0.11",
     "prek>=0.2.27",
+    # testing
+    "pytest>=8.3.2",
+    "pytest-asyncio>=0.24.0",
+    "pytest-cov>=5.0.0",
+    "pytest-httpx>=0.30.0",
+    "hypothesis>=6.112.1",
+    "moto>=5",
 ]
 
 [project.scripts]
diff --git a/tilebox-datasets/pyproject.toml b/tilebox-datasets/pyproject.toml
index 96fd875..fcf53e5 100644
--- a/tilebox-datasets/pyproject.toml
+++ b/tilebox-datasets/pyproject.toml
@@ -34,13 +34,7 @@ dependencies = [
     "promise>=2.3",
 ]
 
-[dependency-groups]
-dev = [
-    "hypothesis>=6.112.1",
-    "pytest-asyncio>=0.24.0",
-    "pytest-cov>=5.0.0",
-    "pytest>=8.3.2",
-]
+
 
 
 [project.urls]
diff --git a/tilebox-datasets/tests/protobuf_conversion/test_protobuf_xarray.py b/tilebox-datasets/tests/protobuf_conversion/test_protobuf_xarray.py
index 8b6308a..56020fa 100644
--- a/tilebox-datasets/tests/protobuf_conversion/test_protobuf_xarray.py
+++ b/tilebox-datasets/tests/protobuf_conversion/test_protobuf_xarray.py
@@ -1,5 +1,6 @@
 from uuid import UUID
 
+import pandas as pd
 import pytest
 from hypothesis import given, settings
 from hypothesis.strategies import lists
@@ -152,21 +153,21 @@ def test_convert_datapoints(datapoints: list[ExampleDatapoint]) -> None:  # noqa
         for uuid in dataset.some_id.to_numpy():
             assert isinstance(uuid, str)
 
-    # strings should be stored as object arrays, with None as the fill value if missing
+    # strings should be stored as object arrays, with missing values (None or NaN) as fill
     if "some_string" in dataset:
         for string in dataset.some_string.to_numpy():
-            assert string is None or isinstance(string, str)
+            assert pd.isna(string) or isinstance(string, str)
     if "some_repeated_string" in dataset:
         for string in dataset.some_repeated_string.to_numpy().ravel():
-            assert string is None or isinstance(string, str)
+            assert pd.isna(string) or isinstance(string, str)
 
-    # bytes should be stored as object arrays, with None as the fill value if missing
+    # bytes should be stored as object arrays, with missing values (None or NaN) as fill
     if "some_bytes" in dataset:
         for bytes_ in dataset.some_bytes.to_numpy():
-            assert bytes_ is None or isinstance(bytes_, bytes)
+            assert pd.isna(bytes_) or isinstance(bytes_, bytes)
     if "some_repeated_bytes" in dataset:
         for bytes_ in dataset.some_repeated_bytes.to_numpy().ravel():
-            assert bytes_ is None or isinstance(bytes_, bytes)
+            assert pd.isna(bytes_) or isinstance(bytes_, bytes)
 
 
 @given(lists(example_datapoints(missing_fields=True), min_size=1, max_size=10))
diff --git a/tilebox-datasets/tilebox/datasets/protobuf_conversion/field_types.py b/tilebox-datasets/tilebox/datasets/protobuf_conversion/field_types.py
index 052452f..d148be8 100644
--- a/tilebox-datasets/tilebox/datasets/protobuf_conversion/field_types.py
+++ b/tilebox-datasets/tilebox/datasets/protobuf_conversion/field_types.py
@@ -4,6 +4,7 @@
 from uuid import UUID
 
 import numpy as np
+import pandas as pd
 from google.protobuf.descriptor import FieldDescriptor
 from google.protobuf.duration_pb2 import Duration
 from google.protobuf.message import Message
@@ -17,6 +18,21 @@
 from tilebox.datasets.datasets.v1.well_known_types_pb2 import Geometry, LatLon, LatLonAlt, Quaternion, Vec3
 
 ScalarProtoFieldValue = Message | float | str | bool | bytes
+
+
+def _is_missing(value: Any) -> bool:
+    """Check if a value represents a missing/null value.
+
+    Handles None, np.nan, pd.NA, NaT, and other pandas missing value sentinels.
+    This is needed for pandas 3.0+ compatibility where object-dtype columns use
+    np.nan instead of None for missing values.
+    """
+    if value is None:
+        return True
+    try:
+        return bool(pd.isna(value))
+    except (TypeError, ValueError):
+        return False
 ProtoFieldValue = ScalarProtoFieldValue | Sequence[ScalarProtoFieldValue] | None
 
 _FILL_VALUES_BY_DTYPE: dict[type[np.dtype[Any]], Any] = {
@@ -107,7 +123,7 @@ def from_proto(self, value: ProtoFieldValue) -> int:
         return value.seconds * 10**9 + value.nanos
 
     def to_proto(self, value: DatetimeScalar) -> Timestamp | None:
-        if value is None or (isinstance(value, np.datetime64) and np.isnat(value)):
+        if _is_missing(value) or (isinstance(value, np.datetime64) and np.isnat(value)):
             return None
         # we use pandas to_datetime function to handle a variety of input types that can be coerced to datetimes
         seconds, nanos = divmod(to_datetime(value, utc=True).value, 10**9)
@@ -124,7 +140,7 @@ def from_proto(self, value: ProtoFieldValue) -> int:
         return value.seconds * 10**9 + value.nanos
 
     def to_proto(self, value: str | float | timedelta | np.timedelta64) -> Duration | None:
-        if value is None or (isinstance(value, np.timedelta64) and np.isnat(value)):
+        if _is_missing(value) or (isinstance(value, np.timedelta64) and np.isnat(value)):
             return None
         # we use pandas to_timedelta function to handle a variety of input types that can be coerced to timedeltas
         seconds, nanos = divmod(to_timedelta(value).value, 10**9)  # type: ignore[arg-type]
@@ -141,7 +157,7 @@ def from_proto(self, value: ProtoFieldValue) -> str:
         return str(UUID(bytes=value.uuid))
 
     def to_proto(self, value: str | UUID) -> UUIDMessage | None:
-        if not value:  # None or empty string
+        if _is_missing(value) or value == "":  # missing or empty string
             return None
 
         if isinstance(value, str):
@@ -160,7 +176,7 @@ def from_proto(self, value: ProtoFieldValue) -> Any:
         return from_wkb(value.wkb)
 
     def to_proto(self, value: Any) -> Geometry | None:
-        if value is None:
+        if _is_missing(value):
             return None
         return Geometry(wkb=value.wkb)
 
@@ -175,7 +191,7 @@ def from_proto(self, value: ProtoFieldValue) -> tuple[float, float, float]:
         return value.x, value.y, value.z
 
     def to_proto(self, value: tuple[float, float, float]) -> Vec3 | None:
-        if value is None or np.all(np.isnan(value)):
+        if _is_missing(value) or np.all(np.isnan(value)):
             return None
         return Vec3(x=value[0], y=value[1], z=value[2])
 
@@ -190,7 +206,7 @@ def from_proto(self, value: ProtoFieldValue) -> tuple[float, float, float, float
         return value.q1, value.q2, value.q3, value.q4
 
     def to_proto(self, value: tuple[float, float, float, float]) -> Quaternion | None:
-        if value is None or np.all(np.isnan(value)):
+        if _is_missing(value) or np.all(np.isnan(value)):
             return None
         return Quaternion(q1=value[0], q2=value[1], q3=value[2], q4=value[3])
 
@@ -205,7 +221,7 @@ def from_proto(self, value: ProtoFieldValue) -> tuple[float, float]:
         return value.latitude, value.longitude
 
     def to_proto(self, value: tuple[float, float]) -> LatLon | None:
-        if value is None or np.all(np.isnan(value)):
+        if _is_missing(value) or np.all(np.isnan(value)):
             return None
         return LatLon(latitude=value[0], longitude=value[1])
 
@@ -221,7 +237,7 @@ def from_proto(self, value: ProtoFieldValue) -> tuple[float, float, float]:
         return value.latitude, value.longitude, value.altitude
 
     def to_proto(self, value: tuple[float, float, float]) -> LatLonAlt | None:
-        if value is None or np.all(np.isnan(value)):
+        if _is_missing(value) or np.all(np.isnan(value)):
             return None
         return LatLonAlt(latitude=value[0], longitude=value[1], altitude=value[2])
 
diff --git a/tilebox-datasets/tilebox/datasets/protobuf_conversion/to_protobuf.py b/tilebox-datasets/tilebox/datasets/protobuf_conversion/to_protobuf.py
index 4d6b43e..8038975 100644
--- a/tilebox-datasets/tilebox/datasets/protobuf_conversion/to_protobuf.py
+++ b/tilebox-datasets/tilebox/datasets/protobuf_conversion/to_protobuf.py
@@ -116,11 +116,29 @@ def columnar_to_row_based(
         yield datapoint
 
 
+def _is_scalar_missing(value: Any) -> bool:
+    """Check if a scalar value is missing (None, NaN, NA, NaT).
+
+    Handles both scalar and array-like values safely - for arrays, returns False
+    since pd.isna would return an array which can't be used in a boolean context.
+    """
+    if value is None:
+        return True
+    try:
+        result = pd.isna(value)
+        # pd.isna returns an array for array-like inputs; we only want scalar True/False
+        if isinstance(result, (bool, np.bool_)):
+            return bool(result)
+        return False
+    except (TypeError, ValueError):
+        return False
+
+
 def convert_values_to_proto(
     values: np.ndarray | pd.Series, field_type: ProtobufFieldType, filter_none: bool = False
 ) -> list[ProtoFieldValue]:
     if filter_none:
-        return [field_type.to_proto(value) for value in values if value is not None]
+        return [field_type.to_proto(value) for value in values if not _is_scalar_missing(value)]
     return [field_type.to_proto(value) for value in values]
 
 
diff --git a/tilebox-datasets/tilebox/datasets/query/time_interval.py b/tilebox-datasets/tilebox/datasets/query/time_interval.py
index 35ae71e..0524a8a 100644
--- a/tilebox-datasets/tilebox/datasets/query/time_interval.py
+++ b/tilebox-datasets/tilebox/datasets/query/time_interval.py
@@ -15,7 +15,7 @@
 
 # A type alias for the different types that can be used to specify a time interval
 TimeIntervalLike: TypeAlias = (
-    DatetimeScalar | tuple[DatetimeScalar, DatetimeScalar] | xr.DataArray | xr.Dataset | "TimeInterval"
+    "DatetimeScalar | tuple[DatetimeScalar, DatetimeScalar] | xr.DataArray | xr.Dataset | TimeInterval"
 )
 
 
diff --git a/tilebox-grpc/pyproject.toml b/tilebox-grpc/pyproject.toml
index c6bdd47..27134ce 100644
--- a/tilebox-grpc/pyproject.toml
+++ b/tilebox-grpc/pyproject.toml
@@ -34,8 +34,7 @@ dependencies = [
 ]
 
 
-[dependency-groups]
-dev = ["pytest-asyncio>=0.24.0", "pytest-cov>=5.0.0", "pytest>=8.3.2"]
+
 
 [project.urls]
 Homepage = "https://tilebox.com"
diff --git a/tilebox-storage/pyproject.toml b/tilebox-storage/pyproject.toml
index 2a721da..b4b8661 100644
--- a/tilebox-storage/pyproject.toml
+++ b/tilebox-storage/pyproject.toml
@@ -29,14 +29,7 @@ dependencies = [
     "obstore>=0.8.0",
 ]
 
-[dependency-groups]
-dev = [
-    "hypothesis>=6.112.1",
-    "pytest-httpx>=0.30.0",
-    "pytest-asyncio>=0.24.0",
-    "pytest-cov>=5.0.0",
-    "pytest>=8.3.2",
-]
+
 
 [project.urls]
 Homepage = "https://tilebox.com"
diff --git a/tilebox-workflows/pyproject.toml b/tilebox-workflows/pyproject.toml
index 76e232b..b7dd042 100644
--- a/tilebox-workflows/pyproject.toml
+++ b/tilebox-workflows/pyproject.toml
@@ -34,8 +34,7 @@ dependencies = [
     "python-dateutil>=2.9.0.post0",
 ]
 
-[dependency-groups]
-dev = ["hypothesis>=6.112.1", "pytest-cov>=5.0.0", "pytest>=8.3.2", "moto>=5"]
+
 
 [project.urls]
 Homepage = "https://tilebox.com"
diff --git a/tilebox-workflows/tilebox/workflows/jobs/client.py b/tilebox-workflows/tilebox/workflows/jobs/client.py
index 6271ab6..f250ac5 100644
--- a/tilebox-workflows/tilebox/workflows/jobs/client.py
+++ b/tilebox-workflows/tilebox/workflows/jobs/client.py
@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from typing import Any, TypeAlias
 from uuid import UUID
 
diff --git a/uv.lock b/uv.lock
index 46c5294..843c216 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2,9 +2,15 @@ version = 1
 revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.13'",
-    "python_full_version == '3.12.*'",
-    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
     "python_full_version < '3.11'",
 ]
 
@@ -980,9 +986,15 @@ name = "ipython"
 version = "9.9.0"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
-    "python_full_version >= '3.13'",
-    "python_full_version == '3.12.*'",
-    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 dependencies = [
     { name = "colorama", marker = "python_full_version >= '3.11' and sys_platform == 'win32'" },
@@ -1431,9 +1443,15 @@ name = "numpy"
 version = "2.4.1"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
-    "python_full_version >= '3.13'",
-    "python_full_version == '3.12.*'",
-    "python_full_version == '3.11.*'",
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/24/62/ae72ff66c0f1fd959925b4c11f8c2dea61f47f6acaea75a08512cdfe3fed/numpy-2.4.1.tar.gz", hash = "sha256:a1ceafc5042451a858231588a104093474c6a5c57dcc724841f5c888d237d690", size = 20721320, upload-time = "2026-01-10T06:44:59.619Z" }
 wheels = [
@@ -1692,12 +1710,14 @@ wheels = [
 name = "pandas"
 version = "2.3.3"
 source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.11'",
+]
 dependencies = [
     { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "numpy", version = "2.4.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
-    { name = "python-dateutil" },
-    { name = "pytz" },
-    { name = "tzdata" },
+    { name = "python-dateutil", marker = "python_full_version < '3.11'" },
+    { name = "pytz", marker = "python_full_version < '3.11'" },
+    { name = "tzdata", marker = "python_full_version < '3.11'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/33/01/d40b85317f86cf08d853a4f495195c73815fdf205eef3993821720274518/pandas-2.3.3.tar.gz", hash = "sha256:e05e1af93b977f7eafa636d043f9f94c7ee3ac81af99c13508215942e64c993b", size = 4495223, upload-time = "2025-09-29T23:34:51.853Z" }
 wheels = [
@@ -1750,6 +1770,77 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/70/44/5191d2e4026f86a2a109053e194d3ba7a31a2d10a9c2348368c63ed4e85a/pandas-2.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:3869faf4bd07b3b66a9f462417d0ca3a9df29a9f6abd5d0d0dbab15dac7abe87", size = 13202175, upload-time = "2025-09-29T23:31:59.173Z" },
 ]
 
+[[package]]
+name = "pandas"
+version = "3.0.0"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.14' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'win32'",
+    "python_full_version == '3.13.*' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform == 'emscripten'",
+    "python_full_version == '3.13.*' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.11' and python_full_version < '3.13' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
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 version = "0.8.5"
@@ -1764,7 +1855,7 @@ name = "pexpect"
 version = "4.9.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "ptyprocess" },
+    { name = "ptyprocess", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
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-    { name = "pandas" },
+    { name = "pandas", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "pandas", version = "3.0.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "promise" },
     { name = "shapely" },
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@@ -2333,14 +2425,6 @@ dependencies = [
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@@ -2354,14 +2438,6 @@ requires-dist = [
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-
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 source = { editable = "tilebox-grpc" }
@@ -2374,13 +2450,6 @@ dependencies = [
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-    { name = "pytest-cov" },
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@@ -2391,13 +2460,6 @@ requires-dist = [
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-    { name = "pytest-cov", specifier = ">=5.0.0" },
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-
 [[package]]
 name = "tilebox-python"
 source = { editable = "." }
@@ -2412,10 +2474,16 @@ dependencies = [
 dev = [
     { name = "build" },
     { name = "cython" },
+    { name = "hypothesis" },
     { name = "junitparser" },
+    { name = "moto" },
     { name = "pip" },
     { name = "prek" },
     { name = "pyarrow" },
+    { name = "pytest" },
+    { name = "pytest-asyncio" },
+    { name = "pytest-cov" },
+    { name = "pytest-httpx" },
     { name = "ruff" },
     { name = "ty" },
     { name = "types-protobuf" },
@@ -2433,10 +2501,16 @@ requires-dist = [
 dev = [
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     { name = "cython", specifier = ">=3.0.11" },
+    { name = "hypothesis", specifier = ">=6.112.1" },
     { name = "junitparser", specifier = ">=3.2.0" },
+    { name = "moto", specifier = ">=5" },
     { name = "pip", specifier = ">=24.2" },
     { name = "prek", specifier = ">=0.2.27" },
     { name = "pyarrow", specifier = ">=17.0.0" },
+    { name = "pytest", specifier = ">=8.3.2" },
+    { name = "pytest-asyncio", specifier = ">=0.24.0" },
+    { name = "pytest-cov", specifier = ">=5.0.0" },
+    { name = "pytest-httpx", specifier = ">=0.30.0" },
     { name = "ruff", specifier = ">=0.11.10" },
     { name = "ty", specifier = ">=0.0.11" },
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@@ -2454,15 +2528,6 @@ dependencies = [
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 ]
 
-[package.dev-dependencies]
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-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-cov" },
-    { name = "pytest-httpx" },
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-
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@@ -2473,15 +2538,6 @@ requires-dist = [
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-[package.metadata.requires-dev]
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-    { name = "pytest-cov", specifier = ">=5.0.0" },
-    { name = "pytest-httpx", specifier = ">=0.30.0" },
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-
 [[package]]
 name = "tilebox-workflows"
 source = { editable = "tilebox-workflows" }
@@ -2499,14 +2555,6 @@ dependencies = [
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-    { name = "moto" },
-    { name = "pytest" },
-    { name = "pytest-cov" },
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@@ -2522,14 +2570,6 @@ requires-dist = [
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