refactor!: replace safe_ds with safeds

.github/workflows/main.yml

@@ -79,7 +79,7 @@ jobs:
 
       # Requires installation of pytest and pytest-cov
       - name: Test with pytest
-        run: poetry run pytest --doctest-modules --cov=safe_ds_runner --cov-report=xml
+        run: poetry run pytest --doctest-modules --cov=safeds_runner --cov-report=xml
 
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v3
@@ -128,7 +128,7 @@ jobs:
 
       # Requires installation of pytest and pytest-cov
       - name: Test with pytest
-        run: poetry run pytest --doctest-modules --cov=safe_ds --cov-report=xml
+        run: poetry run pytest --doctest-modules --cov=safeds --cov-report=xml
 
       - name: Upload coverage to Codecov
         uses: codecov/codecov-action@v3

.github/workflows/pr.yml

@@ -120,7 +120,7 @@ jobs:
 
       # Requires installation of pytest and pytest-cov
       - name: Test with pytest
-        run: poetry run pytest --doctest-modules --cov=safe_ds_runner --cov-report=xml
+        run: poetry run pytest --doctest-modules --cov=safeds_runner --cov-report=xml
 
       - name: Upload coverage to Codecov
         if: ${{ github.actor != 'dependabot[bot]' }}
@@ -172,7 +172,7 @@ jobs:
 
       # Requires installation of pytest and pytest-cov
       - name: Test with pytest
-        run: poetry run pytest --doctest-modules --cov=safe_ds --cov-report=xml
+        run: poetry run pytest --doctest-modules --cov=safeds --cov-report=xml
 
       - name: Upload coverage to Codecov
         if: ${{ github.actor != 'dependabot[bot]' }}

.pylintrc

@@ -37,4 +37,5 @@ disable=
     duplicate-code,
     metrics,
     logging-fstring-interpolation,
-    too-many-nested-blocks
+    too-many-nested-blocks,
+    useless-return

DSL/com.larsreimann.safeds/src/main/kotlin/com/larsreimann/safeds/generator/SafeDSGenerator.kt

@@ -84,7 +84,7 @@ import org.eclipse.xtext.generator.IGeneratorContext
  */
 class SafeDSGenerator : AbstractGenerator() {
 
-    private val codegenPackage = "safeds.codegen"
+    private val codegenPackage = "safeds_runner.codegen"
     private val runtimeBridgePackage = "runtimeBridge"
     private val indent = "    "
 

DSL/com.larsreimann.safeds/src/test/resources/generator/expressions/infix operation/output/tests/generator/infixOperation/gen_input.py

@@ -1,12 +1,12 @@
 # Imports ----------------------------------------------------------------------
 
-import safeds.codegen
+import safeds_runner.codegen
 
 # Pipelines --------------------------------------------------------------------
 
 def test():
-    f(safeds.codegen.eager_or(g(), g()))
-    f(safeds.codegen.eager_and(g(), g()))
+    f(safeds_runner.codegen.eager_or(g(), g()))
+    f(safeds_runner.codegen.eager_and(g(), g()))
     f((h()) == (h()))
     f((h()) != (h()))
     f((h()) is (h()))
@@ -19,4 +19,4 @@ def test():
     f((h()) - (h()))
     f((h()) * (h()))
     f((h()) / (h()))
-    f(safeds.codegen.eager_elvis(i(), i()))
+    f(safeds_runner.codegen.eager_elvis(i(), i()))

DSL/com.larsreimann.safeds/src/test/resources/generator/expressions/member access/output/tests/generator/memberAccess/gen_input.py

@@ -1,6 +1,6 @@
 # Imports ----------------------------------------------------------------------
 
-import safeds.codegen
+import safeds_runner.codegen
 
 # Pipelines --------------------------------------------------------------------
 
@@ -10,5 +10,5 @@ def test():
     f(h()[1])
     f(C().a)
     f(C().c)
-    f(safeds.codegen.safe_access(factory(), 'a'))
-    f(safeds.codegen.safe_access(factory(), 'c'))
+    f(safeds_runner.codegen.safe_access(factory(), 'a'))
+    f(safeds_runner.codegen.safe_access(factory(), 'c'))

Runtime/safe-ds-runner/pyproject.toml

@@ -4,8 +4,9 @@ version = "1.0.0"
 description = "Run Safe-DS code."
 authors = ["Lars Reimann <[email protected]>"]
 license = "MIT"
-
-[tool.poetry.scripts]
+packages = [
+    { include = "safeds_runner" },
+]
 
 [tool.poetry.dependencies]
 python = "^3.10"

Runtime/safe-ds-runner/safeds_runner/codegen/__init__.py

@@ -0,0 +1 @@
+from ._operators import eager_and, eager_elvis, eager_or, safe_access

Runtime/safe-ds-runner/safe_ds_runner/codegen/_operators.py → Runtime/safe-ds-runner/safeds_runner/codegen/_operators.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, TypeVar, Optional
+from typing import Any, Optional, TypeVar
 
 
 def eager_or(left_operand: bool, right_operand: bool) -> bool:

Runtime/safe-ds-runner/tests/codegen/test_eager_and.py

@@ -1,6 +1,5 @@
 import pytest
-
-from safe_ds_runner.codegen import eager_and
+from safeds_runner.codegen import eager_and
 
 
 @pytest.mark.parametrize(
@@ -10,13 +9,15 @@
         (False, True, False),
         (True, False, False),
         (True, True, True),
-    ]
+    ],
 )
-def test_should_compute_conjunction(left_operand: bool, right_operand: bool, expected_result: bool):
+def test_should_compute_conjunction(
+    left_operand: bool, right_operand: bool, expected_result: bool
+) -> None:
     assert eager_and(left_operand, right_operand) == expected_result
 
 
-def test_should_evaluate_left_operand_before_right_operand():
+def test_should_evaluate_left_operand_before_right_operand() -> None:
     call_order: list[str] = []
 
     def left() -> bool:
@@ -32,7 +33,7 @@ def right() -> bool:
     assert call_order == ["left", "right"]
 
 
-def test_should_always_evaluate_both_operands():
+def test_should_always_evaluate_both_operands() -> None:
     call_order: list[str] = []
 
     def left() -> bool:

Runtime/safe-ds-runner/tests/codegen/test_eager_elvis.py

@@ -1,8 +1,7 @@
 from typing import Any
 
 import pytest
-
-from safe_ds_runner.codegen import eager_elvis
+from safeds_runner.codegen import eager_elvis
 
 
 @pytest.mark.parametrize(
@@ -17,13 +16,15 @@
         (True, None, True),
         (True, False, True),
         (True, True, True),
-    ]
+    ],
 )
-def test_should_compute_elvis_operation(left_operand: Any, right_operand: Any, expected_result: Any):
+def test_should_compute_elvis_operation(
+    left_operand: Any, right_operand: Any, expected_result: Any
+) -> None:
     assert eager_elvis(left_operand, right_operand) == expected_result
 
 
-def test_should_evaluate_left_operand_before_right_operand():
+def test_should_evaluate_left_operand_before_right_operand() -> None:
     call_order: list[str] = []
 
     def left() -> Any:
@@ -39,7 +40,7 @@ def right() -> Any:
     assert call_order == ["left", "right"]
 
 
-def test_should_always_evaluate_both_operands():
+def test_should_always_evaluate_both_operands() -> None:
     call_order: list[str] = []
 
     def left() -> Any:

Runtime/safe-ds-runner/tests/codegen/test_eager_or.py

@@ -1,6 +1,5 @@
 import pytest
-
-from safe_ds_runner.codegen import eager_or
+from safeds_runner.codegen import eager_or
 
 
 @pytest.mark.parametrize(
@@ -10,13 +9,15 @@
         (False, True, True),
         (True, False, True),
         (True, True, True),
-    ]
+    ],
 )
-def test_should_compute_disjunction(left_operand: bool, right_operand: bool, expected_result: bool):
+def test_should_compute_disjunction(
+    left_operand: bool, right_operand: bool, expected_result: bool
+) -> None:
     assert eager_or(left_operand, right_operand) == expected_result
 
 
-def test_should_evaluate_left_operand_before_right_operand():
+def test_should_evaluate_left_operand_before_right_operand() -> None:
     call_order: list[str] = []
 
     def left() -> bool:
@@ -32,7 +33,7 @@ def right() -> bool:
     assert call_order == ["left", "right"]
 
 
-def test_should_always_evaluate_both_operands():
+def test_should_always_evaluate_both_operands() -> None:
     call_order: list[str] = []
 
     def left() -> bool:

Runtime/safe-ds-runner/tests/codegen/test_safe_access.py

@@ -1,35 +1,33 @@
 from typing import Any
 
 import pytest
-
-from safe_ds_runner.codegen import safe_access
-
+from safeds_runner.codegen import safe_access
 
 # Test data --------------------------------------------------------------------
 
+
 class __C:
-    def __init__(self):
+    def __init__(self) -> None:
         self.a: int = 1
 
 
 # Actual tests -----------------------------------------------------------------
 
+
 @pytest.mark.parametrize(
     "receiver,member_name,expected_result",
     [
         (None, "a", None),
         (__C(), "a", 1),
-    ]
+    ],
 )
 def test_should_guard_against_member_access_on_none(
-        receiver: Any,
-        member_name: str,
-        expected_result: Any
-):
+    receiver: Any, member_name: str, expected_result: Any
+) -> None:
     assert safe_access(receiver, member_name) == expected_result
 
 
-def test_should_evaluate_receiver_exactly_once():
+def test_should_evaluate_receiver_exactly_once() -> None:
     call_order: list[str] = []
 
     def receiver() -> Any:
@@ -41,6 +39,6 @@ def receiver() -> Any:
     assert len(call_order) == 1
 
 
-def test_should_raise_exception_if_member_does_not_exist():
+def test_should_raise_exception_if_member_does_not_exist() -> None:
     with pytest.raises(AttributeError, match=r"'__C' object has no attribute 'b'"):
         safe_access(__C(), "b")

Runtime/safe-ds/demo/demo_Sprint_2.py

@@ -1,9 +1,9 @@
 import matplotlib.pyplot as plt
 import pandas as pd
 import seaborn as sns
-from safe_ds import plotting
-from safe_ds.data import SupervisedDataset, Table
-from safe_ds.regression import LinearRegression
+from safeds import plotting
+from safeds.data import SupervisedDataset, Table
+from safeds.regression import LinearRegression
 from sklearn.linear_model import LinearRegression as PythonLRS
 
 

Runtime/safe-ds/pyproject.toml

@@ -4,6 +4,9 @@ version = "0.1.0"
 description = "The Safe-DS standard library."
 authors = ["Lars Reimann <[email protected]>"]
 license = "MIT"
+packages = [
+    { include = "safeds" },
+]
 
 [tool.poetry.dependencies]
 python = "^3.10"

Runtime/safe-ds/safe_ds/_util/_util_sklearn.py → Runtime/safe-ds/safeds/_util/_util_sklearn.py

@@ -1,7 +1,7 @@
 from typing import Any
 
-from safe_ds.data import SupervisedDataset, Table
-from safe_ds.exceptions import LearningError, PredictionError
+from safeds.data import SupervisedDataset, Table
+from safeds.exceptions import LearningError, PredictionError
 from sklearn.exceptions import NotFittedError
 
 

Runtime/safe-ds/safe_ds/classification/_ada_boost.py → Runtime/safe-ds/safeds/classification/_ada_boost.py

@@ -1,8 +1,8 @@
 from typing import Optional
 
 # noinspection PyProtectedMember
-import safe_ds._util._util_sklearn
-from safe_ds.data import SupervisedDataset, Table
+import safeds._util._util_sklearn
+from safeds.data import SupervisedDataset, Table
 from sklearn.ensemble import AdaBoostClassifier as sk_AdaBoostClassifier
 
 
@@ -31,7 +31,7 @@ def fit(self, supervised_dataset: SupervisedDataset) -> None:
         LearningError
             If the supervised dataset contains invalid values or if the training failed.
         """
-        self.target_name = safe_ds._util._util_sklearn.fit(
+        self.target_name = safeds._util._util_sklearn.fit(
             self._classification, supervised_dataset
         )
 
@@ -56,7 +56,7 @@ def predict(self, dataset: Table, target_name: Optional[str] = None) -> Table:
         PredictionError
             If prediction with the given dataset failed.
         """
-        return safe_ds._util._util_sklearn.predict(
+        return safeds._util._util_sklearn.predict(
             self._classification,
             dataset,
             target_name if target_name is not None else self.target_name,

Runtime/safe-ds/safe_ds/classification/_decision_tree.py → Runtime/safe-ds/safeds/classification/_decision_tree.py

@@ -1,8 +1,8 @@
 from typing import Optional
 
 # noinspection PyProtectedMember
-import safe_ds._util._util_sklearn
-from safe_ds.data import SupervisedDataset, Table
+import safeds._util._util_sklearn
+from safeds.data import SupervisedDataset, Table
 from sklearn.tree import DecisionTreeClassifier as sk_DecisionTreeClassifier
 
 
@@ -31,7 +31,7 @@ def fit(self, supervised_dataset: SupervisedDataset) -> None:
         LearningError
             If the supervised dataset contains invalid values or if the training failed.
         """
-        self.target_name = safe_ds._util._util_sklearn.fit(
+        self.target_name = safeds._util._util_sklearn.fit(
             self._classification, supervised_dataset
         )
 
@@ -56,7 +56,7 @@ def predict(self, dataset: Table, target_name: Optional[str] = None) -> Table:
         PredictionError
             If prediction with the given dataset failed.
         """
-        return safe_ds._util._util_sklearn.predict(
+        return safeds._util._util_sklearn.predict(
             self._classification,
             dataset,
             target_name if target_name is not None else self.target_name,

Runtime/safe-ds/safe_ds/classification/_gradient_boosting_classification.py → Runtime/safe-ds/safeds/classification/_gradient_boosting_classification.py

@@ -1,8 +1,8 @@
 from typing import Optional
 
 # noinspection PyProtectedMember
-import safe_ds._util._util_sklearn
-from safe_ds.data import SupervisedDataset, Table
+import safeds._util._util_sklearn
+from safeds.data import SupervisedDataset, Table
 from sklearn.ensemble import GradientBoostingClassifier
 
 
@@ -31,7 +31,7 @@ def fit(self, supervised_dataset: SupervisedDataset) -> None:
         LearningError
             If the supervised dataset contains invalid values or if the training failed.
         """
-        self.target_name = safe_ds._util._util_sklearn.fit(
+        self.target_name = safeds._util._util_sklearn.fit(
             self._classification, supervised_dataset
         )
 
@@ -57,7 +57,7 @@ def predict(self, dataset: Table, target_name: Optional[str] = None) -> Table:
         PredictionError
             If prediction with the given dataset failed.
         """
-        return safe_ds._util._util_sklearn.predict(
+        return safeds._util._util_sklearn.predict(
             self._classification,
             dataset,
             target_name if target_name is not None else self.target_name,