Release/v1.10.x

.github/workflows/sonar.yml

@@ -20,7 +20,6 @@ concurrency:
 
 jobs:
   sonar-cloud:
-    if: (github.event_name == 'push') || (!startsWith(github.head_ref, 'release'))
     name: SonarCloud
     runs-on: ubuntu-24.04
     env:

VERSION

@@ -1 +1 @@
-1.9
+1.10

docs/examples/Power Flow Example.ipynb

@@ -447,8 +447,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "List of component types in result dataset and associated data types\n",
-      "{'ComponentType.node': <class 'numpy.ndarray'>, 'ComponentType.line': <class 'dict'>, 'ComponentType.sym_load': <class 'dict'>}\n",
+      "List of component types in result dataset\n",
+      "[<ComponentType.node: 'node'>, <ComponentType.line: 'line'>, <ComponentType.sym_load: 'sym_load'>]\n",
       "------node result------\n",
       "('id', 'energized', 'u_pu', 'u', 'u_angle', 'p', 'q')\n",
       "------line result attributes------\n",
@@ -471,8 +471,8 @@
     "    },\n",
     ")\n",
     "\n",
-    "print(\"List of component types in result dataset and associated data types\")\n",
-    "print({str(component_type): type(component_data) for component_type, component_data in output_data.items()})\n",
+    "print(\"List of component types in result dataset\")\n",
+    "print(list(output_data.keys()))\n",
     "print(\"------node result------\")\n",
     "print(output_data[ComponentType.node].dtype.names)\n",
     "print(\"------line result attributes------\")\n",
@@ -499,8 +499,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "List of component types in result dataset and associated data types\n",
-      "{'ComponentType.node': <class 'dict'>, 'ComponentType.line': <class 'dict'>, 'ComponentType.sym_load': <class 'dict'>, 'ComponentType.source': <class 'dict'>}\n",
+      "List of component types in result dataset\n",
+      "[<ComponentType.node: 'node'>, <ComponentType.line: 'line'>, <ComponentType.sym_load: 'sym_load'>, <ComponentType.source: 'source'>]\n",
       "------node result------\n",
       "['id', 'energized', 'u_pu', 'u', 'u_angle', 'p', 'q']\n",
       "------line result attributes------\n",
@@ -519,8 +519,8 @@
     "    output_component_types=ComponentAttributeFilterOptions.everything,  # all attributes for all component types as columns\n",
     ")\n",
     "\n",
-    "print(\"List of component types in result dataset and associated data types\")\n",
-    "print({str(component_type): type(component_data) for component_type, component_data in output_data.items()})\n",
+    "print(\"List of component types in result dataset\")\n",
+    "print(list(output_data.keys()))\n",
     "print(\"------node result------\")\n",
     "print(list(output_data[ComponentType.node].keys()))\n",
     "print(\"------line result attributes------\")\n",
@@ -1430,6 +1430,7 @@
     "# we run the batch calculation with continue_on_batch_error=True,\n",
     "#    it will return the results with partially valid data\n",
     "\n",
+    "\n",
     "output_data = model.calculate_power_flow(update_data=time_series_mutation, continue_on_batch_error=True)\n",
     "\n",
     "# print node data for u_pu, note that the data is rubbish for scenario 3 and 7\n",

docs/examples/Validation Examples.ipynb

@@ -113,8 +113,8 @@
       "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
       "\u001b[0;31mIDWrongType\u001b[0m                               Traceback (most recent call last)",
       "Cell \u001b[0;32mIn[2], line 2\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# Without validation\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m model \u001b[38;5;241m=\u001b[39m \u001b[43mPowerGridModel\u001b[49m\u001b[43m(\u001b[49m\u001b[43merror_data\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      3\u001b[0m output_data \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mcalculate_state_estimation(symmetric\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
-      "File \u001b[0;32m~/pgm/power-grid-model/src/power_grid_model/core/power_grid_model.py:125\u001b[0m, in \u001b[0;36mPowerGridModel.__init__\u001b[0;34m(self, input_data, system_frequency)\u001b[0m\n\u001b[1;32m    123\u001b[0m prepared_input \u001b[38;5;241m=\u001b[39m prepare_input_view(_map_to_component_types(input_data))\n\u001b[1;32m    124\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_model_ptr \u001b[38;5;241m=\u001b[39m pgc\u001b[38;5;241m.\u001b[39mcreate_model(system_frequency, input_data\u001b[38;5;241m=\u001b[39mprepared_input\u001b[38;5;241m.\u001b[39mget_dataset_ptr())\n\u001b[0;32m--> 125\u001b[0m \u001b[43massert_no_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    126\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_all_component_count \u001b[38;5;241m=\u001b[39m {k: v \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m prepared_input\u001b[38;5;241m.\u001b[39mget_info()\u001b[38;5;241m.\u001b[39mtotal_elements()\u001b[38;5;241m.\u001b[39mitems() \u001b[38;5;28;01mif\u001b[39;00m v \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m}\n",
-      "File \u001b[0;32m~/pgm/power-grid-model/src/power_grid_model/core/error_handling.py:169\u001b[0m, in \u001b[0;36massert_no_error\u001b[0;34m(batch_size, decode_error)\u001b[0m\n\u001b[1;32m    167\u001b[0m error \u001b[38;5;241m=\u001b[39m find_error(batch_size\u001b[38;5;241m=\u001b[39mbatch_size, decode_error\u001b[38;5;241m=\u001b[39mdecode_error)\n\u001b[1;32m    168\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 169\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m error\n",
+      "File \u001b[0;32m~/pgm/power-grid-model/src/power_grid_model/_core/power_grid_model.py:125\u001b[0m, in \u001b[0;36mPowerGridModel.__init__\u001b[0;34m(self, input_data, system_frequency)\u001b[0m\n\u001b[1;32m    123\u001b[0m prepared_input \u001b[38;5;241m=\u001b[39m prepare_input_view(_map_to_component_types(input_data))\n\u001b[1;32m    124\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_model_ptr \u001b[38;5;241m=\u001b[39m pgc\u001b[38;5;241m.\u001b[39mcreate_model(system_frequency, input_data\u001b[38;5;241m=\u001b[39mprepared_input\u001b[38;5;241m.\u001b[39mget_dataset_ptr())\n\u001b[0;32m--> 125\u001b[0m \u001b[43massert_no_error\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    126\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_all_component_count \u001b[38;5;241m=\u001b[39m {k: v \u001b[38;5;28;01mfor\u001b[39;00m k, v \u001b[38;5;129;01min\u001b[39;00m prepared_input\u001b[38;5;241m.\u001b[39mget_info()\u001b[38;5;241m.\u001b[39mtotal_elements()\u001b[38;5;241m.\u001b[39mitems() \u001b[38;5;28;01mif\u001b[39;00m v \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m}\n",
+      "File \u001b[0;32m~/pgm/power-grid-model/src/power_grid_model/_core/error_handling.py:169\u001b[0m, in \u001b[0;36massert_no_error\u001b[0;34m(batch_size, decode_error)\u001b[0m\n\u001b[1;32m    167\u001b[0m error \u001b[38;5;241m=\u001b[39m find_error(batch_size\u001b[38;5;241m=\u001b[39mbatch_size, decode_error\u001b[38;5;241m=\u001b[39mdecode_error)\n\u001b[1;32m    168\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m error \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 169\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m error\n",
       "\u001b[0;31mIDWrongType\u001b[0m: Wrong type for object with id 4\n\nTry validate_input_data() or validate_batch_data() to validate your data.\n"
      ]
     }

setup.py

@@ -208,7 +208,7 @@ def generate_build_ext(pkg_dir: Path, pkg_name: str):
     # list of extensions
     exts = [
         CTypesExtension(
-            name="power_grid_model.core._power_grid_core",
+            name="power_grid_model._core._power_grid_core",
             sources=sources,
             include_dirs=include_dirs,
             library_dirs=library_dirs,

src/power_grid_model/__init__.py

@@ -4,9 +4,9 @@
 
 """Power Grid Model"""
 
-from power_grid_model.core.dataset_definitions import ComponentType, DatasetType
-from power_grid_model.core.power_grid_meta import initialize_array, power_grid_meta_data
-from power_grid_model.core.power_grid_model import PowerGridModel
+from power_grid_model._core.dataset_definitions import ComponentType, DatasetType
+from power_grid_model._core.power_grid_meta import initialize_array, power_grid_meta_data
+from power_grid_model._core.power_grid_model import PowerGridModel
 from power_grid_model.enum import (
     Branch3Side,
     BranchSide,

src/power_grid_model/core/buffer_handling.py → src/power_grid_model/_core/buffer_handling.py

@@ -6,23 +6,22 @@
 Power grid model buffer handler
 """
 
-import warnings
 from dataclasses import dataclass
 from typing import cast
 
 import numpy as np
 
+from power_grid_model._core.error_handling import VALIDATOR_MSG
+from power_grid_model._core.index_integer import IdxC, IdxNp
+from power_grid_model._core.power_grid_core import IdxPtr, VoidPtr
+from power_grid_model._core.power_grid_meta import ComponentMetaData
 from power_grid_model._utils import (
     _extract_data_from_component_data,
     _extract_indptr,
     check_indptr_consistency,
     is_columnar,
     is_sparse,
 )
-from power_grid_model.core.error_handling import VALIDATOR_MSG
-from power_grid_model.core.index_integer import IdxC, IdxNp
-from power_grid_model.core.power_grid_core import IdxPtr, VoidPtr
-from power_grid_model.core.power_grid_meta import ComponentMetaData
 from power_grid_model.data_types import (
     AttributeType,
     ComponentData,
@@ -85,7 +84,7 @@ def _get_raw_data_view(data: np.ndarray, dtype: np.dtype) -> VoidPtr:
         a raw view on the data set.
     """
     if data.dtype != dtype:
-        warnings.warn(f"Data type does not match schema. {VALIDATOR_MSG}", DeprecationWarning)
+        raise ValueError(f"Data type does not match schema. {VALIDATOR_MSG}")
     return np.ascontiguousarray(data, dtype=dtype).ctypes.data_as(VoidPtr)
 
 

src/power_grid_model/core/data_handling.py → src/power_grid_model/_core/data_handling.py

@@ -8,10 +8,10 @@
 
 import numpy as np
 
+from power_grid_model._core.dataset_definitions import ComponentType, DatasetType
+from power_grid_model._core.power_grid_dataset import CConstDataset, CMutableDataset
+from power_grid_model._core.power_grid_meta import initialize_array, power_grid_meta_data
 from power_grid_model._utils import process_data_filter
-from power_grid_model.core.dataset_definitions import ComponentType, DatasetType
-from power_grid_model.core.power_grid_dataset import CConstDataset, CMutableDataset
-from power_grid_model.core.power_grid_meta import initialize_array, power_grid_meta_data
 from power_grid_model.data_types import Dataset, SingleDataset
 from power_grid_model.enum import CalculationType, ComponentAttributeFilterOptions
 from power_grid_model.errors import PowerGridUnreachableHitError

src/power_grid_model/core/error_handling.py → src/power_grid_model/_core/error_handling.py

@@ -11,8 +11,8 @@
 
 import numpy as np
 
-from power_grid_model.core.index_integer import IdxNp
-from power_grid_model.core.power_grid_core import power_grid_core as pgc
+from power_grid_model._core.index_integer import IdxNp
+from power_grid_model._core.power_grid_core import power_grid_core as pgc
 from power_grid_model.errors import (
     AutomaticTapCalculationError,
     ConflictID,

src/power_grid_model/core/options.py → src/power_grid_model/_core/options.py

@@ -7,7 +7,7 @@
 """
 from typing import Any, Callable
 
-from power_grid_model.core.power_grid_core import OptionsPtr, power_grid_core as pgc
+from power_grid_model._core.power_grid_core import OptionsPtr, power_grid_core as pgc
 
 
 class OptionSetter:

src/power_grid_model/core/power_grid_core.py → src/power_grid_model/_core/power_grid_core.py

@@ -13,7 +13,7 @@
 from pathlib import Path
 from typing import Callable, Optional
 
-from power_grid_model.core.index_integer import IdC, IdxC
+from power_grid_model._core.index_integer import IdC, IdxC
 
 # integer index
 IdxPtr = POINTER(IdxC)

src/power_grid_model/core/power_grid_dataset.py → src/power_grid_model/_core/power_grid_dataset.py

@@ -8,25 +8,25 @@
 
 from typing import Any, Mapping, Optional
 
-from power_grid_model._utils import get_dataset_type, is_columnar, is_nan_or_equivalent, process_data_filter
-from power_grid_model.core.buffer_handling import (
+from power_grid_model._core.buffer_handling import (
     BufferProperties,
     CAttributeBuffer,
     CBuffer,
     create_buffer,
     get_buffer_properties,
     get_buffer_view,
 )
-from power_grid_model.core.dataset_definitions import ComponentType, DatasetType, _str_to_component_type
-from power_grid_model.core.error_handling import VALIDATOR_MSG, assert_no_error
-from power_grid_model.core.power_grid_core import (
+from power_grid_model._core.dataset_definitions import ComponentType, DatasetType, _str_to_component_type
+from power_grid_model._core.error_handling import VALIDATOR_MSG, assert_no_error
+from power_grid_model._core.power_grid_core import (
     ConstDatasetPtr,
     DatasetInfoPtr,
     MutableDatasetPtr,
     WritableDatasetPtr,
     power_grid_core as pgc,
 )
-from power_grid_model.core.power_grid_meta import ComponentMetaData, DatasetMetaData, power_grid_meta_data
+from power_grid_model._core.power_grid_meta import ComponentMetaData, DatasetMetaData, power_grid_meta_data
+from power_grid_model._utils import get_dataset_type, is_columnar, is_nan_or_equivalent, process_data_filter
 from power_grid_model.data_types import AttributeType, ComponentData, Dataset
 from power_grid_model.enum import ComponentAttributeFilterOptions
 from power_grid_model.typing import ComponentAttributeMapping, _ComponentAttributeMappingDict

src/power_grid_model/core/power_grid_meta.py → src/power_grid_model/_core/power_grid_meta.py

@@ -12,15 +12,15 @@
 
 import numpy as np
 
-from power_grid_model.core.dataset_definitions import (
+from power_grid_model._core.dataset_definitions import (
     ComponentTypeLike,
     ComponentTypeVar,
     DatasetType,
     DatasetTypeLike,
     _str_to_component_type,
     _str_to_datatype,
 )
-from power_grid_model.core.power_grid_core import AttributePtr, ComponentPtr, DatasetPtr, power_grid_core as pgc
+from power_grid_model._core.power_grid_core import AttributePtr, ComponentPtr, DatasetPtr, power_grid_core as pgc
 from power_grid_model.data_types import DenseBatchArray, SingleArray
 
 

src/power_grid_model/core/power_grid_model.py → src/power_grid_model/_core/power_grid_model.py

@@ -11,23 +11,23 @@
 
 import numpy as np
 
-from power_grid_model.core.data_handling import (
+from power_grid_model._core.data_handling import (
     create_output_data,
     get_output_type,
     prepare_input_view,
     prepare_output_view,
     prepare_update_view,
 )
-from power_grid_model.core.dataset_definitions import (
+from power_grid_model._core.dataset_definitions import (
     ComponentType,
     ComponentTypeLike,
     _map_to_component_types,
     _str_to_component_type,
 )
-from power_grid_model.core.error_handling import PowerGridBatchError, assert_no_error, handle_errors
-from power_grid_model.core.index_integer import IdNp, IdxNp
-from power_grid_model.core.options import Options
-from power_grid_model.core.power_grid_core import ConstDatasetPtr, IDPtr, IdxPtr, ModelPtr, power_grid_core as pgc
+from power_grid_model._core.error_handling import PowerGridBatchError, assert_no_error, handle_errors
+from power_grid_model._core.index_integer import IdNp, IdxNp
+from power_grid_model._core.options import Options
+from power_grid_model._core.power_grid_core import ConstDatasetPtr, IDPtr, IdxPtr, ModelPtr, power_grid_core as pgc
 from power_grid_model.data_types import Dataset, SingleDataset
 from power_grid_model.enum import (
     CalculationMethod,

src/power_grid_model/core/serialization.py → src/power_grid_model/_core/serialization.py

@@ -10,17 +10,17 @@
 from ctypes import byref
 from enum import IntEnum
 
-from power_grid_model.core.dataset_definitions import DatasetType, _map_to_component_types, _str_to_datatype
-from power_grid_model.core.error_handling import assert_no_error
-from power_grid_model.core.index_integer import IdxC
-from power_grid_model.core.power_grid_core import (
+from power_grid_model._core.dataset_definitions import DatasetType, _map_to_component_types, _str_to_datatype
+from power_grid_model._core.error_handling import assert_no_error
+from power_grid_model._core.index_integer import IdxC
+from power_grid_model._core.power_grid_core import (
     CharPtr,
     DeserializerPtr,
     SerializerPtr,
     WritableDatasetPtr,
     power_grid_core as pgc,
 )
-from power_grid_model.core.power_grid_dataset import CConstDataset, CWritableDataset
+from power_grid_model._core.power_grid_dataset import CConstDataset, CWritableDataset
 from power_grid_model.data_types import Dataset
 from power_grid_model.errors import PowerGridSerializationError
 from power_grid_model.typing import ComponentAttributeMapping

src/power_grid_model/_utils.py

@@ -15,9 +15,9 @@
 
 import numpy as np
 
-from power_grid_model.core.dataset_definitions import ComponentType, DatasetType
-from power_grid_model.core.error_handling import VALIDATOR_MSG
-from power_grid_model.core.power_grid_meta import initialize_array, power_grid_meta_data
+from power_grid_model._core.dataset_definitions import ComponentType, DatasetType
+from power_grid_model._core.error_handling import VALIDATOR_MSG
+from power_grid_model._core.power_grid_meta import initialize_array, power_grid_meta_data
 from power_grid_model.data_types import (
     BatchColumn,
     BatchComponentData,

src/power_grid_model/data_types.py

@@ -13,7 +13,7 @@
 
 import numpy as np
 
-from power_grid_model.core.dataset_definitions import ComponentTypeVar
+from power_grid_model._core.dataset_definitions import ComponentTypeVar
 
 AttributeType: TypeAlias = str
 """

src/power_grid_model/typing.py

@@ -8,13 +8,13 @@
 This includes all miscellaneous type hints not under dataset or categories.
 """
 
-from power_grid_model.core.dataset_definitions import (  # pylint: disable=unused-import
+from power_grid_model._core.dataset_definitions import (  # pylint: disable=unused-import
     ComponentType,
     ComponentTypeVar,
     DatasetType,
     DatasetTypeVar,
 )
-from power_grid_model.core.power_grid_meta import (  # pylint: disable=unused-import
+from power_grid_model._core.power_grid_meta import (  # pylint: disable=unused-import
     ComponentMetaData,
     DatasetMetaData,
     PowerGridMetaData,

src/power_grid_model/utils.py

@@ -16,6 +16,13 @@
 import numpy as np
 
 from power_grid_model import CalculationMethod, PowerGridModel
+from power_grid_model._core.dataset_definitions import DatasetType, _map_to_component_types
+from power_grid_model._core.serialization import (  # pylint: disable=unused-import
+    json_deserialize,
+    json_serialize,
+    msgpack_deserialize,
+    msgpack_serialize,
+)
 from power_grid_model._utils import (
     _extract_data_from_component_data,
     _extract_indptr,
@@ -25,13 +32,6 @@
     is_columnar,
     is_sparse,
 )
-from power_grid_model.core.dataset_definitions import DatasetType, _map_to_component_types
-from power_grid_model.core.serialization import (  # pylint: disable=unused-import
-    json_deserialize,
-    json_serialize,
-    msgpack_deserialize,
-    msgpack_serialize,
-)
 from power_grid_model.data_types import (
     BatchComponentData,
     BatchDataset,