From 92622fb1bac5304c5127bf472e6630aceaf85c16 Mon Sep 17 00:00:00 2001 From: Lars Reimann Date: Mon, 13 May 2024 16:35:39 +0200 Subject: [PATCH] refactor: extract column name and out of bounds checks (#758) Closes #407 Closes #637 ### Summary of Changes * New internal function `_check_bounds` to check whether a value is in some interval or raise an `OutofBoundsError`. Now, bounds only need to be specified once instead of twice (if + when raising). * New internal function `_check_columns_exist` to check whether a column with a given name exists or raise an `ColumnNotFoundError`. Now, we get consistent error messages with suggestions of similar column names. --------- Co-authored-by: megalinter-bot <129584137+megalinter-bot@users.noreply.github.com> --- benchmarks/metrics/classification.py | 6 +- docs/tutorials/classification.ipynb | 32 +- docs/tutorials/regression.ipynb | 33 +- mkdocs.yml | 2 +- poetry.lock | 224 +------------ pyproject.toml | 1 - src/safeds/_utils/__init__.py | 3 - src/safeds/_validation/__init__.py | 29 ++ src/safeds/_validation/_check_bounds.py | 154 +++++++++ .../_validation/_check_columns_exist.py | 68 ++++ .../_normalize_and_check_file_path.py} | 12 +- ...transformation_error_and_warning_checks.py | 56 ++-- .../data/image/containers/_image_list.py | 7 +- .../containers/_single_size_image_list.py | 8 +- src/safeds/data/image/typing/_image_size.py | 12 +- .../data/labeled/containers/_image_dataset.py | 8 +- .../containers/_time_series_dataset.py | 14 +- .../containers/_lazy_vectorized_row.py | 5 +- src/safeds/data/tabular/containers/_table.py | 98 +++--- .../data/tabular/plotting/_table_plotter.py | 30 +- .../tabular/transformation/_discretizer.py | 27 +- .../tabular/transformation/_label_encoder.py | 15 +- .../transformation/_one_hot_encoder.py | 14 +- .../tabular/transformation/_range_scaler.py | 15 +- .../tabular/transformation/_simple_imputer.py | 13 +- .../transformation/_standard_scaler.py | 15 +- .../data/tabular/typing/_polars_schema.py | 6 +- src/safeds/exceptions/__init__.py | 119 +++---- src/safeds/exceptions/_data.py | 29 +- src/safeds/exceptions/_generic.py | 283 ---------------- .../ml/classical/_bases/_ada_boost_base.py | 12 +- .../classical/_bases/_decision_tree_base.py | 16 +- .../_bases/_gradient_boosting_base.py | 8 +- .../_bases/_k_nearest_neighbors_base.py | 5 +- .../classical/_bases/_random_forest_base.py | 19 +- .../_bases/_support_vector_machine_base.py | 12 +- .../regression/_elastic_net_regressor.py | 16 +- .../classical/regression/_lasso_regressor.py | 5 +- .../classical/regression/_ridge_regressor.py | 5 +- src/safeds/ml/nn/_forward_layer.py | 12 +- src/safeds/ml/nn/_lstm_layer.py | 12 +- src/safeds/ml/nn/_model.py | 19 +- .../ml/nn/_output_conversion_time_series.py | 4 +- .../data/image/containers/test_image.py | 38 +-- .../data/image/containers/test_image_list.py | 45 +-- .../data/image/typing/test_image_size.py | 6 +- .../containers/_tabular_dataset/test_init.py | 20 +- .../_time_series_dataset/test_init.py | 20 +- .../test_into_dataloader.py | 10 +- .../containers/_table/test_dataframe.py | 9 - .../containers/_table/test_from_columns.py | 29 +- .../containers/_table/test_from_csv_file.py | 4 +- .../containers/_table/test_from_json_file.py | 4 +- .../containers/_table/test_get_column.py | 4 +- .../_table/test_get_similar_columns.py | 12 +- .../containers/_table/test_plot_lineplot.py | 16 +- .../_table/test_plot_scatterplot.py | 16 +- .../containers/_table/test_remove_columns.py | 4 +- .../_table/test_remove_columns_except.py | 4 +- .../containers/_table/test_rename_column.py | 4 +- .../containers/_table/test_replace_column.py | 6 +- .../tabular/containers/_table/test_repr.py | 44 ++- .../containers/_table/test_shuffle_rows.py | 20 +- .../tabular/containers/_table/test_str.py | 36 +- .../containers/_table/test_to_csv_file.py | 4 +- .../containers/_table/test_to_json_file.py | 10 +- .../_table/test_transform_column.py | 4 +- .../containers/_table/test_transform_table.py | 4 +- .../transformation/test_discretizer.py | 24 +- .../transformation/test_label_encoder.py | 8 +- .../transformation/test_one_hot_encoder.py | 8 +- .../transformation/test_range_scaler.py | 8 +- .../transformation/test_simple_imputer.py | 15 +- .../transformation/test_standard_scaler.py | 8 +- .../exceptions/test_out_of_bounds_error.py | 307 +++++++++--------- .../test_unknown_column_name_error.py | 85 ++--- .../classification/test_ada_boost.py | 10 +- .../classification/test_decision_tree.py | 10 +- .../classification/test_gradient_boosting.py | 10 +- .../test_k_nearest_neighbors.py | 5 +- .../classification/test_random_forest.py | 15 +- .../test_support_vector_machine.py | 4 +- .../ml/classical/regression/test_ada_boost.py | 10 +- .../regression/test_decision_tree.py | 10 +- .../regression/test_elastic_net_regression.py | 10 +- .../regression/test_gradient_boosting.py | 10 +- .../regression/test_k_nearest_neighbors.py | 5 +- .../regression/test_lasso_regression.py | 2 +- .../regression/test_random_forest.py | 15 +- .../regression/test_ridge_regression.py | 2 +- .../regression/test_support_vector_machine.py | 4 +- tests/safeds/ml/nn/test_forward_layer.py | 10 +- tests/safeds/ml/nn/test_forward_workflow.py | 15 +- tests/safeds/ml/nn/test_lstm_layer.py | 10 +- tests/safeds/ml/nn/test_lstm_workflow.py | 5 +- tests/safeds/ml/nn/test_model.py | 26 +- 96 files changed, 994 insertions(+), 1513 deletions(-) create mode 100644 src/safeds/_validation/__init__.py create mode 100644 src/safeds/_validation/_check_bounds.py create mode 100644 src/safeds/_validation/_check_columns_exist.py rename src/safeds/{_utils/_file_io.py => _validation/_normalize_and_check_file_path.py} (81%) delete mode 100644 src/safeds/exceptions/_generic.py diff --git a/benchmarks/metrics/classification.py b/benchmarks/metrics/classification.py index 6252a7889..6884e0c3f 100644 --- a/benchmarks/metrics/classification.py +++ b/benchmarks/metrics/classification.py @@ -1,7 +1,6 @@ from __future__ import annotations from timeit import timeit -from typing import TYPE_CHECKING import polars as pl @@ -9,7 +8,6 @@ from safeds.data.tabular.containers import Table from safeds.ml.metrics import ClassificationMetrics - REPETITIONS = 10 @@ -32,9 +30,7 @@ def _run_recall() -> None: if __name__ == "__main__": # Create a synthetic Table table = ( - create_synthetic_table(10000, 2) - .rename_column("column_0", "predicted") - .rename_column("column_1", "expected") + create_synthetic_table(10000, 2).rename_column("column_0", "predicted").rename_column("column_1", "expected") ) # Run the benchmarks diff --git a/docs/tutorials/classification.ipynb b/docs/tutorials/classification.ipynb index 52ec2aeb0..b3fe603f3 100644 --- a/docs/tutorials/classification.ipynb +++ b/docs/tutorials/classification.ipynb @@ -23,7 +23,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "from safeds.data.tabular.containers import Table\n", "\n", @@ -33,7 +32,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -48,7 +48,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "train_table, testing_table = titanic.split_rows(0.6)\n", "\n", @@ -56,7 +55,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -73,7 +73,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "from safeds.data.tabular.transformation import OneHotEncoder\n", "\n", @@ -81,7 +80,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -95,11 +95,11 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": "transformed_table = encoder.transform(train_table)", "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -111,7 +111,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "extra_names = [\"id\", \"name\", \"ticket\", \"cabin\", \"port_embarked\", \"age\", \"fare\"]\n", "\n", @@ -119,7 +118,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -131,7 +131,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "from safeds.ml.classical.classification import RandomForestClassifier\n", "\n", @@ -140,7 +139,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -155,7 +155,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "encoder = OneHotEncoder().fit(test_table, [\"sex\"])\n", "transformed_test_table = encoder.transform(test_table)\n", @@ -168,7 +167,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -182,7 +182,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "encoder = OneHotEncoder().fit(test_table, [\"sex\"])\n", "testing_table = encoder.transform(testing_table)\n", @@ -192,7 +191,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] } ], "metadata": { diff --git a/docs/tutorials/regression.ipynb b/docs/tutorials/regression.ipynb index 2d5041791..211822d42 100644 --- a/docs/tutorials/regression.ipynb +++ b/docs/tutorials/regression.ipynb @@ -23,7 +23,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "from safeds.data.tabular.containers import Table\n", "\n", @@ -33,7 +32,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -48,7 +48,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "train_table, testing_table = pricing.split_rows(0.60)\n", "\n", @@ -56,7 +55,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -68,7 +68,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "extra_names = [\"id\"]\n", "\n", @@ -76,7 +75,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -88,7 +88,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "from safeds.ml.classical.regression import DecisionTreeRegressor\n", "\n", @@ -97,7 +96,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -111,7 +111,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [], "source": [ "prediction = fitted_model.predict(\n", " test_table\n", @@ -121,7 +120,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] }, { "cell_type": "markdown", @@ -135,16 +135,6 @@ { "cell_type": "code", "execution_count": null, - "outputs": [ - { - "data": { - "text/plain": "105595.6001735107" - }, - "execution_count": null, - "metadata": {}, - "output_type": "execute_result" - } - ], "source": [ "test_tabular_dataset = testing_table.to_tabular_dataset(\"price\", extra_names)\n", "\n", @@ -152,7 +142,8 @@ ], "metadata": { "collapsed": false - } + }, + "outputs": [] } ], "metadata": { diff --git a/mkdocs.yml b/mkdocs.yml index 313688f7d..d202c2519 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -87,7 +87,7 @@ plugins: - search - mkdocs-jupyter: include: ["*.ipynb"] - execute: true + execute: false # TODO: Enable execution allow_errors: false - exclude: glob: diff --git a/poetry.lock b/poetry.lock index 821579392..52e2e9204 100644 --- a/poetry.lock +++ b/poetry.lock @@ -686,13 +686,13 @@ dev = ["flake8", "markdown", "twine", "wheel"] [[package]] name = "griffe" -version = "0.44.0" +version = "0.45.0" description = "Signatures for entire Python programs. 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from ._file_io import _check_and_normalize_file_path from ._hashing import _structural_hash from ._plotting import _figure_to_image from ._random import _get_random_seed @@ -13,7 +12,6 @@ apipkg.initpkg( __name__, { - "_check_and_normalize_file_path": "._file_io:_check_and_normalize_file_path", "_structural_hash": "._hashing:_structural_hash", "_figure_to_image": "._plotting:_figure_to_image", "_get_random_seed": "._random:_get_random_seed", @@ -21,7 +19,6 @@ ) __all__ = [ - "_check_and_normalize_file_path", "_structural_hash", "_figure_to_image", "_get_random_seed", diff --git a/src/safeds/_validation/__init__.py b/src/safeds/_validation/__init__.py new file mode 100644 index 000000000..cd5cb49e8 --- /dev/null +++ b/src/safeds/_validation/__init__.py @@ -0,0 +1,29 @@ +"""Validation of preconditions.""" + +from typing import TYPE_CHECKING + +import apipkg + +if TYPE_CHECKING: + from ._check_bounds import _check_bounds, _ClosedBound, _OpenBound + from ._check_columns_exist import _check_columns_exist + from ._normalize_and_check_file_path import _normalize_and_check_file_path + +apipkg.initpkg( + __name__, + { + "_check_bounds": "._check_bounds:_check_bounds", + "_ClosedBound": "._check_bounds:_ClosedBound", + "_OpenBound": "._check_bounds:_OpenBound", + "_check_columns_exist": "._check_columns_exist:_check_columns_exist", + "_normalize_and_check_file_path": "._normalize_and_check_file_path:_normalize_and_check_file_path", + }, +) + +__all__ = [ + "_check_bounds", + "_ClosedBound", + "_OpenBound", + "_check_columns_exist", + "_normalize_and_check_file_path", +] diff --git a/src/safeds/_validation/_check_bounds.py b/src/safeds/_validation/_check_bounds.py new file mode 100644 index 000000000..6b1392a26 --- /dev/null +++ b/src/safeds/_validation/_check_bounds.py @@ -0,0 +1,154 @@ +from __future__ import annotations + +from abc import ABC, abstractmethod + + +def _check_bounds( + name: str, + actual: float | None, + *, + lower_bound: _Bound | None = None, + upper_bound: _Bound | None = None, +) -> None: + """ + Check that a value is within the expected range and raise an error if it is not. + + Parameters + ---------- + actual: + The actual value that should be checked. + name: + The name of the offending variable. + lower_bound: + The lower bound of the expected range. Use None if there is no lower Bound. + upper_bound: + The upper bound of the expected range. Use None if there is no upper Bound. + + Raises + ------ + OutOfBoundsError: + If the actual value is outside its expected range. + """ + from safeds.exceptions import OutOfBoundsError # circular import + + if actual is None: + return # Skip the check if the actual value is None (i.e., not provided). + + if lower_bound is None: + lower_bound = _OpenBound(float("-inf")) + if upper_bound is None: + upper_bound = _OpenBound(float("inf")) + + if not lower_bound._check_as_lower_bound(actual) or not upper_bound._check_as_upper_bound(actual): + message = _build_error_message(name, actual, lower_bound, upper_bound) + raise OutOfBoundsError(message) + + +def _build_error_message(name: str, actual: float, lower_bound: _Bound, upper_bound: _Bound) -> str: + range_ = f"{lower_bound._to_string_as_lower_bound()}, {upper_bound._to_string_as_upper_bound()}" + return f"{name} must be in {range_} but was {actual}." + + +class _Bound(ABC): + """Lower or upper bound of the legal range of a value.""" + + @abstractmethod + def _check_as_lower_bound(self, actual: float) -> bool: + """ + Treat this bound as the lower bound and check that a value does not exceed it. + + Parameters + ---------- + actual: + The actual value to check. + + Returns + ------- + in_bounds: + Whether the actual value is within the expected range. + """ + + @abstractmethod + def _check_as_upper_bound(self, actual: float) -> bool: + """ + Treat this bound as the upper bound and check that a value does not exceed it. + + Parameters + ---------- + actual: + The actual value to check. + + Returns + ------- + in_bounds: + Whether the actual value is within the expected range. + """ + + @abstractmethod + def _to_string_as_lower_bound(self) -> str: + """Treat this bound as the lower bound and get a string representation.""" + + @abstractmethod + def _to_string_as_upper_bound(self) -> str: + """Treat this bound as the upper bound and get a string representation.""" + + +class _ClosedBound(_Bound): + """ + A closed bound where the border value belongs to the range. + + Parameters + ---------- + value: + The border value of the bound. + """ + + def __init__(self, value: float): + self.value: float = value + + def _check_as_lower_bound(self, actual: float) -> bool: + return actual >= self.value + + def _check_as_upper_bound(self, actual: float) -> bool: + return actual <= self.value + + def _to_string_as_lower_bound(self) -> str: + return f"[{_float_to_string(self.value)}" + + def _to_string_as_upper_bound(self) -> str: + return f"{_float_to_string(self.value)}]" + + +class _OpenBound(_Bound): + """ + An open bound where the border value does not belong to the range. + + Parameters + ---------- + value: + The border value of the bound. + """ + + def __init__(self, value: float): + self.value: float = value + + def _check_as_lower_bound(self, actual: float) -> bool: + return actual > self.value + + def _check_as_upper_bound(self, actual: float) -> bool: + return actual < self.value + + def _to_string_as_lower_bound(self) -> str: + return f"({_float_to_string(self.value)}" + + def _to_string_as_upper_bound(self) -> str: + return f"{_float_to_string(self.value)})" + + +def _float_to_string(value: float) -> str: + if value == float("-inf"): + return "-\u221e" + elif value == float("inf"): + return "\u221e" + else: + return str(value) diff --git a/src/safeds/_validation/_check_columns_exist.py b/src/safeds/_validation/_check_columns_exist.py new file mode 100644 index 000000000..6d266ca4e --- /dev/null +++ b/src/safeds/_validation/_check_columns_exist.py @@ -0,0 +1,68 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +from safeds.exceptions import ColumnNotFoundError + +if TYPE_CHECKING: + from collections.abc import Container + + from safeds.data.tabular.containers import Table + from safeds.data.tabular.typing import Schema + + +def _check_columns_exist(table_or_schema: Table | Schema, requested_names: str | list[str]) -> None: + """ + Check if the specified column names exist in the table or schema and raise an error if they do not. + + Parameters + ---------- + table_or_schema: + The table or schema to check. + requested_names: + The column names to check. + + Raises + ------ + ColumnNotFoundError + If a column name does not exist. + """ + from safeds.data.tabular.containers import Table # circular import + + if isinstance(table_or_schema, Table): + table_or_schema = table_or_schema.schema + if isinstance(requested_names, str): + requested_names = [requested_names] + + if len(requested_names) > 1: + # Create a set for faster containment checks + known_names: Container = set(table_or_schema.column_names) + else: + known_names = table_or_schema.column_names + + unknown_names = [name for name in requested_names if name not in known_names] + if unknown_names: + message = _build_error_message(table_or_schema, unknown_names) + raise ColumnNotFoundError(message) + + +def _build_error_message(schema: Schema, unknown_names: list[str]) -> str: + message = "Could not find column(s):" + + for unknown_name in unknown_names: + similar_columns = _get_similar_column_names(schema, unknown_name) + message += f"\n - '{unknown_name}'" + if similar_columns: + message += f": Did you mean one of {similar_columns}?" + + return message + + +def _get_similar_column_names(schema: Schema, unknown_name: str) -> list[str]: + from difflib import get_close_matches + + return get_close_matches( + unknown_name, + schema.column_names, + n=3, + ) diff --git a/src/safeds/_utils/_file_io.py b/src/safeds/_validation/_normalize_and_check_file_path.py similarity index 81% rename from src/safeds/_utils/_file_io.py rename to src/safeds/_validation/_normalize_and_check_file_path.py index a19685e94..f0b1e795d 100644 --- a/src/safeds/_utils/_file_io.py +++ b/src/safeds/_validation/_normalize_and_check_file_path.py @@ -1,15 +1,17 @@ +from __future__ import annotations + from pathlib import Path -from safeds.exceptions import WrongFileExtensionError +from safeds.exceptions import FileExtensionError -def _check_and_normalize_file_path( +def _normalize_and_check_file_path( path: str | Path, canonical_file_extension: str, - valid_file_extensions: list[str], # Should be ordered to ensure consistent error messages. + valid_file_extensions: list[str], *, check_if_file_exists: bool = False, -) -> Path: # pragma: no cover +) -> Path: """ Check if the provided path is a valid file path and normalize it. @@ -42,7 +44,7 @@ def _check_and_normalize_file_path( if not path.suffix: path = path.with_suffix(canonical_file_extension) elif path.suffix not in valid_file_extensions: - raise WrongFileExtensionError(path, valid_file_extensions) + raise FileExtensionError(path, valid_file_extensions) # Check if file exists if check_if_file_exists and not path.is_file(): diff --git a/src/safeds/data/image/_utils/_image_transformation_error_and_warning_checks.py b/src/safeds/data/image/_utils/_image_transformation_error_and_warning_checks.py index 31aa7c33e..a800d54be 100644 --- a/src/safeds/data/image/_utils/_image_transformation_error_and_warning_checks.py +++ b/src/safeds/data/image/_utils/_image_transformation_error_and_warning_checks.py @@ -1,20 +1,16 @@ import warnings -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound def _check_remove_images_with_size_errors(width: int, height: int) -> None: - if width < 1 or height < 1: - raise OutOfBoundsError(min(width, height), name="At least one of width and height", lower_bound=ClosedBound(1)) + _check_bounds("width", width, lower_bound=_ClosedBound(1)) + _check_bounds("height", height, lower_bound=_ClosedBound(1)) def _check_resize_errors(new_width: int, new_height: int) -> None: - if new_width <= 0 or new_height <= 0: - raise OutOfBoundsError( - min(new_width, new_height), - name="At least one of the new sizes new_width and new_height", - lower_bound=ClosedBound(1), - ) + _check_bounds("new_width", new_width, lower_bound=_ClosedBound(1)) + _check_bounds("new_height", new_height, lower_bound=_ClosedBound(1)) def _check_crop_errors_and_warnings( @@ -26,10 +22,11 @@ def _check_crop_errors_and_warnings( min_height: int, plural: bool, ) -> None: - if x < 0 or y < 0: - raise OutOfBoundsError(min(x, y), name="At least one of the coordinates x and y", lower_bound=ClosedBound(0)) - if width <= 0 or height <= 0: - raise OutOfBoundsError(min(width, height), name="At least one of width and height", lower_bound=ClosedBound(1)) + _check_bounds("x", x, lower_bound=_ClosedBound(0)) + _check_bounds("y", y, lower_bound=_ClosedBound(0)) + _check_bounds("width", width, lower_bound=_ClosedBound(1)) + _check_bounds("height", height, lower_bound=_ClosedBound(1)) + if x >= min_width or y >= min_height: warnings.warn( f"The specified bounding rectangle does not contain any content of {'at least one' if plural else 'the'} image. Therefore {'these images' if plural else 'the image'} will be blank.", @@ -39,9 +36,8 @@ def _check_crop_errors_and_warnings( def _check_adjust_brightness_errors_and_warnings(factor: float, plural: bool) -> None: - if factor < 0: - raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) - elif factor == 1: + _check_bounds("factor", factor, lower_bound=_ClosedBound(0)) + if factor == 1: warnings.warn( f"Brightness adjustment factor is 1.0, this will not make changes to the {'images' if plural else 'image'}.", UserWarning, @@ -50,14 +46,12 @@ def _check_adjust_brightness_errors_and_warnings(factor: float, plural: bool) -> def _check_add_noise_errors(standard_deviation: float) -> None: - if standard_deviation < 0: - raise OutOfBoundsError(standard_deviation, name="standard_deviation", lower_bound=ClosedBound(0)) + _check_bounds("standard_deviation", standard_deviation, lower_bound=_ClosedBound(0)) def _check_adjust_contrast_errors_and_warnings(factor: float, plural: bool) -> None: - if factor < 0: - raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) - elif factor == 1: + _check_bounds("factor", factor, lower_bound=_ClosedBound(0)) + if factor == 1: warnings.warn( f"Contrast adjustment factor is 1.0, this will not make changes to the {'images' if plural else 'image'}.", UserWarning, @@ -66,9 +60,8 @@ def _check_adjust_contrast_errors_and_warnings(factor: float, plural: bool) -> N def _check_adjust_color_balance_errors_and_warnings(factor: float, channel: int, plural: bool) -> None: - if factor < 0: - raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) - elif factor == 1: + _check_bounds("factor", factor, lower_bound=_ClosedBound(0)) + if factor == 1: warnings.warn( f"Color adjustment factor is 1.0, this will not make changes to the {'images' if plural else 'image'}.", UserWarning, @@ -83,14 +76,8 @@ def _check_adjust_color_balance_errors_and_warnings(factor: float, channel: int, def _check_blur_errors_and_warnings(radius: int, max_radius: int, plural: bool) -> None: - if radius < 0 or radius >= max_radius: - raise OutOfBoundsError( - radius, - name="radius", - lower_bound=ClosedBound(0), - upper_bound=ClosedBound(max_radius - 1), - ) - elif radius == 0: + _check_bounds("radius", radius, lower_bound=_ClosedBound(0), upper_bound=_ClosedBound(max_radius - 1)) + if radius == 0: warnings.warn( f"Blur radius is 0, this will not make changes to the {'images' if plural else 'image'}.", UserWarning, @@ -99,9 +86,8 @@ def _check_blur_errors_and_warnings(radius: int, max_radius: int, plural: bool) def _check_sharpen_errors_and_warnings(factor: float, plural: bool) -> None: - if factor < 0: - raise OutOfBoundsError(factor, name="factor", lower_bound=ClosedBound(0)) - elif factor == 1: + _check_bounds("factor", factor, lower_bound=_ClosedBound(0)) + if factor == 1: warnings.warn( f"Sharpen factor is 1.0, this will not make changes to the {'images' if plural else 'image'}.", UserWarning, diff --git a/src/safeds/data/image/containers/_image_list.py b/src/safeds/data/image/containers/_image_list.py index 178151afc..635958613 100644 --- a/src/safeds/data/image/containers/_image_list.py +++ b/src/safeds/data/image/containers/_image_list.py @@ -11,8 +11,8 @@ from safeds._config import _init_default_device from safeds._utils import _get_random_seed +from safeds._validation import _check_bounds, _ClosedBound from safeds.data.image.containers._image import Image -from safeds.exceptions import OutOfBoundsError, ClosedBound if TYPE_CHECKING: from collections.abc import Sequence @@ -183,10 +183,7 @@ def from_files( from safeds.data.image.containers._multi_size_image_list import _MultiSizeImageList from safeds.data.image.containers._single_size_image_list import _SingleSizeImageList - if load_percentage < 0 or load_percentage > 1: - raise OutOfBoundsError( - load_percentage, name="load_percentage", lower_bound=ClosedBound(0), upper_bound=ClosedBound(1) - ) + _check_bounds("load_percentage", load_percentage, lower_bound=_ClosedBound(0), upper_bound=_ClosedBound(1)) if isinstance(path, list) and len(path) == 0: return _EmptyImageList() diff --git a/src/safeds/data/image/containers/_single_size_image_list.py b/src/safeds/data/image/containers/_single_size_image_list.py index ceaddbabf..fea3c3529 100644 --- a/src/safeds/data/image/containers/_single_size_image_list.py +++ b/src/safeds/data/image/containers/_single_size_image_list.py @@ -437,10 +437,6 @@ def change_channel(self, channel: int) -> ImageList: @staticmethod def _change_channel_of_tensor(tensor: Tensor, channel: int) -> Tensor: - import torch - - _init_default_device() - """ Change the channel of a tensor to the given channel. @@ -461,6 +457,10 @@ def _change_channel_of_tensor(tensor: Tensor, channel: int) -> Tensor: ValueError if the given channel is not a valid channel option """ + import torch + + _init_default_device() + if tensor.size(dim=-3) == channel: return tensor.detach().clone() elif tensor.size(dim=-3) == 1 and channel == 3: diff --git a/src/safeds/data/image/typing/_image_size.py b/src/safeds/data/image/typing/_image_size.py index 3a3e400fc..b23854503 100644 --- a/src/safeds/data/image/typing/_image_size.py +++ b/src/safeds/data/image/typing/_image_size.py @@ -4,7 +4,7 @@ from typing import TYPE_CHECKING from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound if TYPE_CHECKING: from safeds.data.image.containers import Image @@ -32,12 +32,12 @@ class ImageSize: """ def __init__(self, width: int, height: int, channel: int, *, _ignore_invalid_channel: bool = False) -> None: - if width < 1 or height < 1: - raise OutOfBoundsError(min(width, height), lower_bound=ClosedBound(1)) - elif not _ignore_invalid_channel and channel not in (1, 3, 4): + _check_bounds("width", width, lower_bound=_ClosedBound(1)) + _check_bounds("height", height, lower_bound=_ClosedBound(1)) + if not _ignore_invalid_channel and channel not in (1, 3, 4): raise ValueError(f"Channel {channel} is not a valid channel option. Use either 1, 3 or 4") - elif channel < 1: - raise OutOfBoundsError(channel, name="channel", lower_bound=ClosedBound(1)) + _check_bounds("channel", channel, lower_bound=_ClosedBound(1)) + self._width = width self._height = height self._channel = channel diff --git a/src/safeds/data/labeled/containers/_image_dataset.py b/src/safeds/data/labeled/containers/_image_dataset.py index 93c8fd646..b4dd21c34 100644 --- a/src/safeds/data/labeled/containers/_image_dataset.py +++ b/src/safeds/data/labeled/containers/_image_dataset.py @@ -7,6 +7,7 @@ from safeds._config import _get_device, _init_default_device from safeds._utils import _structural_hash +from safeds._validation import _check_bounds, _ClosedBound from safeds.data.image.containers import ImageList from safeds.data.image.containers._empty_image_list import _EmptyImageList from safeds.data.image.containers._multi_size_image_list import _MultiSizeImageList @@ -15,10 +16,8 @@ from safeds.data.tabular.containers import Column, Table from safeds.data.tabular.transformation import OneHotEncoder from safeds.exceptions import ( - ClosedBound, IndexOutOfBoundsError, NonNumericColumnError, - OutOfBoundsError, OutputLengthMismatchError, TransformerNotFittedError, ) @@ -230,8 +229,9 @@ def _get_batch(self, batch_number: int, batch_size: int | None = None) -> tuple[ if batch_size is None: batch_size = self._batch_size - if batch_size < 1: - raise OutOfBoundsError(batch_size, name="batch_size", lower_bound=ClosedBound(1)) + + _check_bounds("batch_size", batch_size, lower_bound=_ClosedBound(1)) + if batch_number < 0 or batch_size * batch_number >= len(self._input): raise IndexOutOfBoundsError(batch_size * batch_number) max_index = ( diff --git a/src/safeds/data/labeled/containers/_time_series_dataset.py b/src/safeds/data/labeled/containers/_time_series_dataset.py index 811996d6a..f4f6cd00d 100644 --- a/src/safeds/data/labeled/containers/_time_series_dataset.py +++ b/src/safeds/data/labeled/containers/_time_series_dataset.py @@ -5,7 +5,7 @@ from safeds._config import _get_device, _init_default_device from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound if TYPE_CHECKING: from collections.abc import Mapping, Sequence @@ -220,10 +220,8 @@ def _into_dataloader_with_window(self, window_size: int, forecast_horizon: int, y_s = [] size = target_tensor.size(0) - if window_size < 1: - raise OutOfBoundsError(actual=window_size, name="window_size", lower_bound=ClosedBound(1)) - if forecast_horizon < 1: - raise OutOfBoundsError(actual=forecast_horizon, name="forecast_horizon", lower_bound=ClosedBound(1)) + _check_bounds("window_size", window_size, lower_bound=_ClosedBound(1)) + _check_bounds("forecast_horizon", forecast_horizon, lower_bound=_ClosedBound(1)) if size <= forecast_horizon + window_size: raise ValueError("Can not create windows with window size less then forecast horizon + window_size") # create feature windows and for that features targets lagged by forecast len @@ -283,10 +281,8 @@ def _into_dataloader_with_window_predict( x_s = [] size = target_tensor.size(0) - if window_size < 1: - raise OutOfBoundsError(actual=window_size, name="window_size", lower_bound=ClosedBound(1)) - if forecast_horizon < 1: - raise OutOfBoundsError(actual=forecast_horizon, name="forecast_horizon", lower_bound=ClosedBound(1)) + _check_bounds("window_size", window_size, lower_bound=_ClosedBound(1)) + _check_bounds("forecast_horizon", forecast_horizon, lower_bound=_ClosedBound(1)) if size <= forecast_horizon + window_size: raise ValueError("Can not create windows with window size less then forecast horizon + window_size") diff --git a/src/safeds/data/tabular/containers/_lazy_vectorized_row.py b/src/safeds/data/tabular/containers/_lazy_vectorized_row.py index 00e9cc30f..748badebe 100644 --- a/src/safeds/data/tabular/containers/_lazy_vectorized_row.py +++ b/src/safeds/data/tabular/containers/_lazy_vectorized_row.py @@ -2,7 +2,7 @@ from typing import TYPE_CHECKING -from safeds.exceptions import UnknownColumnNameError +from safeds._validation import _check_columns_exist from ._lazy_cell import _LazyCell from ._row import Row @@ -67,8 +67,7 @@ def schema(self) -> Schema: def get_value(self, name: str) -> _LazyCell: import polars as pl - if not self._table.has_column(name): - raise UnknownColumnNameError([name]) + _check_columns_exist(self._table, name) return _LazyCell(pl.col(name)) diff --git a/src/safeds/data/tabular/containers/_table.py b/src/safeds/data/tabular/containers/_table.py index 8fb39eb32..3c5c8c296 100644 --- a/src/safeds/data/tabular/containers/_table.py +++ b/src/safeds/data/tabular/containers/_table.py @@ -4,18 +4,16 @@ from safeds._config import _get_device, _init_default_device from safeds._config._polars import _get_polars_config -from safeds._utils import _check_and_normalize_file_path, _structural_hash +from safeds._utils import _structural_hash from safeds._utils._random import _get_random_seed +from safeds._validation import _check_bounds, _check_columns_exist, _ClosedBound, _normalize_and_check_file_path from safeds.data.labeled.containers import TabularDataset, TimeSeriesDataset from safeds.data.tabular.plotting import TablePlotter from safeds.data.tabular.typing._polars_data_type import _PolarsDataType from safeds.data.tabular.typing._polars_schema import _PolarsSchema from safeds.exceptions import ( - ClosedBound, ColumnLengthMismatchError, DuplicateColumnNameError, - OutOfBoundsError, - UnknownColumnNameError, ) from ._column import Column @@ -107,18 +105,22 @@ def from_columns(columns: Column | list[Column]) -> Table: +-----+-----+ """ import polars as pl - - # TODO: raises + from polars.exceptions import DuplicateError, ShapeError if isinstance(columns, Column): columns = [columns] - return Table._from_polars_lazy_frame( - pl.LazyFrame([column._series for column in columns]), - ) + try: + return Table._from_polars_lazy_frame( + pl.LazyFrame([column._series for column in columns]), + ) + except DuplicateError: + raise DuplicateColumnNameError("") from None # TODO: message + except ShapeError: + raise ColumnLengthMismatchError("") from None # TODO: message @staticmethod - def from_csv_file(path: str | Path) -> Table: + def from_csv_file(path: str | Path, *, separator: str = ",") -> Table: """ Create a table from a CSV file. @@ -126,6 +128,8 @@ def from_csv_file(path: str | Path) -> Table: ---------- path: The path to the CSV file. If the file extension is omitted, it is assumed to be ".csv". + separator: + The separator between the values in the CSV file. Returns ------- @@ -154,8 +158,9 @@ def from_csv_file(path: str | Path) -> Table: """ import polars as pl - path = _check_and_normalize_file_path(path, ".csv", [".csv"], check_if_file_exists=True) - return Table._from_polars_lazy_frame(pl.scan_csv(path)) + path = _normalize_and_check_file_path(path, ".csv", [".csv"], check_if_file_exists=True) + + return Table._from_polars_lazy_frame(pl.scan_csv(path, separator=separator)) @staticmethod def from_dict(data: dict[str, list[Any]]) -> Table: @@ -232,7 +237,7 @@ def from_json_file(path: str | Path) -> Table: """ import polars as pl - path = _check_and_normalize_file_path(path, ".json", [".json"], check_if_file_exists=True) + path = _normalize_and_check_file_path(path, ".json", [".json"], check_if_file_exists=True) return Table._from_polars_data_frame(pl.read_json(path)) @staticmethod @@ -273,7 +278,7 @@ def from_parquet_file(path: str | Path) -> Table: """ import polars as pl - path = _check_and_normalize_file_path(path, ".parquet", [".parquet"], check_if_file_exists=True) + path = _normalize_and_check_file_path(path, ".parquet", [".parquet"], check_if_file_exists=True) return Table._from_polars_lazy_frame(pl.scan_parquet(path)) @staticmethod @@ -547,7 +552,7 @@ def get_column(self, name: str) -> Column: | 3 | +-----+ """ - self._check_columns_exist(name) + _check_columns_exist(self, name) return Column._from_polars_series(self._data_frame.get_column(name)) def get_column_type(self, name: str) -> DataType: @@ -576,7 +581,7 @@ def get_column_type(self, name: str) -> DataType: >>> table.get_column_type("a") Int64 """ - self._check_columns_exist(name) + _check_columns_exist(self, name) return _PolarsDataType(self._lazy_frame.schema[name]) def has_column(self, name: str) -> bool: @@ -700,7 +705,7 @@ def remove_columns_except( if isinstance(names, str): names = [names] - self._check_columns_exist(names) + _check_columns_exist(self, names) return Table._from_polars_lazy_frame( self._lazy_frame.select(names), @@ -813,7 +818,7 @@ def rename_column(self, old_name: str, new_name: str) -> Table: | 3 | 6 | +-----+-----+ """ - self._check_columns_exist(old_name) + _check_columns_exist(self, old_name) return Table._from_polars_lazy_frame( self._lazy_frame.rename({old_name: new_name}), @@ -885,7 +890,7 @@ def replace_column( | 9 | 12 | 6 | +-----+-----+-----+ """ - self._check_columns_exist(old_name) + _check_columns_exist(self, old_name) if isinstance(new_columns, Column): new_columns = [new_columns] @@ -954,14 +959,14 @@ def transform_column( | 4 | 6 | +-----+-----+ """ - self._check_columns_exist(name) + _check_columns_exist(self, name) import polars as pl - transformed_column = transformer(_LazyCell(pl.col(name))) + expression = transformer(_LazyCell(pl.col(name))) return Table._from_polars_lazy_frame( - self._lazy_frame.with_columns(transformed_column._polars_expression), + self._lazy_frame.with_columns(expression._polars_expression), ) # ------------------------------------------------------------------------------------------------------------------ @@ -1079,7 +1084,7 @@ def remove_rows_by_column( | 3 | 6 | +-----+-----+ """ - self._check_columns_exist(name) + _check_columns_exist(self, name) import polars as pl @@ -1372,7 +1377,7 @@ def sort_rows_by_column( | 3 | 2 | +-----+-----+ """ - self._check_columns_exist(name) + _check_columns_exist(self, name) return Table._from_polars_lazy_frame( self._lazy_frame.sort( @@ -1440,13 +1445,12 @@ def split_rows( | 2 | 7 | +-----+-----+ """ - if percentage_in_first < 0 or percentage_in_first > 1: - raise OutOfBoundsError( - actual=percentage_in_first, - name="percentage_in_first", - lower_bound=ClosedBound(0), - upper_bound=ClosedBound(1), - ) + _check_bounds( + "percentage_in_first", + percentage_in_first, + lower_bound=_ClosedBound(0), + upper_bound=_ClosedBound(1), + ) input_table = self.shuffle_rows() if shuffle else self number_of_rows_in_first = round(percentage_in_first * input_table.number_of_rows) @@ -1709,7 +1713,7 @@ def to_csv_file(self, path: str | Path) -> None: >>> table = Table({"a": [1, 2, 3], "b": [4, 5, 6]}) >>> table.to_csv_file("./src/resources/to_csv_file.csv") """ - path = _check_and_normalize_file_path(path, ".csv", [".csv"]) + path = _normalize_and_check_file_path(path, ".csv", [".csv"]) path.parent.mkdir(parents=True, exist_ok=True) self._lazy_frame.sink_csv(path) @@ -1766,7 +1770,7 @@ def to_json_file( >>> table = Table({"a": [1, 2, 3], "b": [4, 5, 6]}) >>> table.to_json_file("./src/resources/to_json_file_2.json") """ - path = _check_and_normalize_file_path(path, ".json", [".json"]) + path = _normalize_and_check_file_path(path, ".json", [".json"]) path.parent.mkdir(parents=True, exist_ok=True) # Write JSON to file @@ -1795,7 +1799,7 @@ def to_parquet_file(self, path: str | Path) -> None: >>> table = Table({"a": [1, 2, 3], "b": [4, 5, 6]}) >>> table.to_parquet_file("./src/resources/to_parquet_file.parquet") """ - path = _check_and_normalize_file_path(path, ".parquet", [".parquet"]) + path = _normalize_and_check_file_path(path, ".parquet", [".parquet"]) path.parent.mkdir(parents=True, exist_ok=True) self._lazy_frame.sink_parquet(path) @@ -1943,32 +1947,6 @@ def _repr_html_(self) -> str: # Internal # ------------------------------------------------------------------------------------------------------------------ - def _check_columns_exist(self, requested_names: str | list[str]) -> None: - """ - Check if the specified column names exist in the table and raise an error if they do not. - - Parameters - ---------- - requested_names: - The column names to check. - - Raises - ------ - KeyError - If a column name does not exist. - """ - if isinstance(requested_names, str): - requested_names = [requested_names] - - if len(requested_names) > 1: - known_names = set(self.column_names) - else: - known_names = self.column_names # type: ignore[assignment] - - unknown_names = [name for name in requested_names if name not in known_names] - if unknown_names: - raise UnknownColumnNameError(unknown_names) # TODO: in the error, compute similar column names - # TODO def _into_dataloader(self, batch_size: int) -> DataLoader: """ diff --git a/src/safeds/data/tabular/plotting/_table_plotter.py b/src/safeds/data/tabular/plotting/_table_plotter.py index 66ef96f5d..65220ceb7 100644 --- a/src/safeds/data/tabular/plotting/_table_plotter.py +++ b/src/safeds/data/tabular/plotting/_table_plotter.py @@ -4,7 +4,8 @@ from typing import TYPE_CHECKING from safeds._utils import _figure_to_image -from safeds.exceptions import NonNumericColumnError, UnknownColumnNameError +from safeds._validation import _check_columns_exist +from safeds.exceptions import NonNumericColumnError if TYPE_CHECKING: from safeds.data.image.containers import Image @@ -242,16 +243,9 @@ def line_plot(self, x_name: str, y_name: str) -> Image: ... ) >>> image = table.plot.line_plot("a", "b") """ - # TODO: extract validation - missing_columns = [] - if not self._table.has_column(x_name): - missing_columns.append(x_name) - if not self._table.has_column(y_name): - missing_columns.append(y_name) - if missing_columns: - raise UnknownColumnNameError(missing_columns) - - # TODO: pass list of columns names + _check_columns_exist(self._table, [x_name, y_name]) + + # TODO: pass list of columns names + extract validation if not self._table.get_column(x_name).is_numeric: raise NonNumericColumnError(x_name) if not self._table.get_column(y_name).is_numeric: @@ -312,17 +306,9 @@ def scatter_plot(self, x_name: str, y_name: str) -> Image: ... ) >>> image = table.plot.scatter_plot("a", "b") """ - # TODO: merge with line_plot? - # TODO: extract validation - missing_columns = [] - if not self._table.has_column(x_name): - missing_columns.append(x_name) - if not self._table.has_column(y_name): - missing_columns.append(y_name) - if missing_columns: - raise UnknownColumnNameError(missing_columns) - - # TODO: pass list of columns names + _check_columns_exist(self._table, [x_name, y_name]) + + # TODO: pass list of columns names + extract validation if not self._table.get_column(x_name).is_numeric: raise NonNumericColumnError(x_name) if not self._table.get_column(y_name).is_numeric: diff --git a/src/safeds/data/tabular/transformation/_discretizer.py b/src/safeds/data/tabular/transformation/_discretizer.py index f22c2cb35..e02c3c025 100644 --- a/src/safeds/data/tabular/transformation/_discretizer.py +++ b/src/safeds/data/tabular/transformation/_discretizer.py @@ -2,13 +2,11 @@ from typing import TYPE_CHECKING +from safeds._validation import _check_bounds, _check_columns_exist, _ClosedBound from safeds.data.tabular.containers import Table from safeds.exceptions import ( - ClosedBound, NonNumericColumnError, - OutOfBoundsError, TransformerNotFittedError, - UnknownColumnNameError, ) from ._table_transformer import TableTransformer @@ -33,11 +31,10 @@ class Discretizer(TableTransformer): """ def __init__(self, number_of_bins: int = 5): + _check_bounds("number_of_bins", number_of_bins, lower_bound=_ClosedBound(2)) + self._column_names: list[str] | None = None self._wrapped_transformer: sk_KBinsDiscretizer | None = None - - if number_of_bins < 2: - raise OutOfBoundsError(number_of_bins, name="number_of_bins", lower_bound=ClosedBound(2)) self._number_of_bins = number_of_bins def fit(self, table: Table, column_names: list[str] | None) -> Discretizer: @@ -75,14 +72,7 @@ def fit(self, table: Table, column_names: list[str] | None) -> Discretizer: if column_names is None: column_names = table.column_names else: - missing_columns = set(column_names) - set(table.column_names) - if len(missing_columns) > 0: - raise UnknownColumnNameError( - sorted( - missing_columns, - key={val: ix for ix, val in enumerate(column_names)}.__getitem__, - ), - ) + _check_columns_exist(table, column_names) for column in column_names: if not table.get_column(column).type.is_numeric: @@ -135,14 +125,7 @@ def transform(self, table: Table) -> Table: raise ValueError("The table cannot be transformed because it contains 0 rows") # Input table does not contain all columns used to fit the transformer - missing_columns = set(self._column_names) - set(table.column_names) - if len(missing_columns) > 0: - raise UnknownColumnNameError( - sorted( - missing_columns, - key={val: ix for ix, val in enumerate(self._column_names)}.__getitem__, - ), - ) + _check_columns_exist(table, self._column_names) for column in self._column_names: if not table.get_column(column).type.is_numeric: diff --git a/src/safeds/data/tabular/transformation/_label_encoder.py b/src/safeds/data/tabular/transformation/_label_encoder.py index 6dd2091e5..72de6255c 100644 --- a/src/safeds/data/tabular/transformation/_label_encoder.py +++ b/src/safeds/data/tabular/transformation/_label_encoder.py @@ -3,8 +3,9 @@ import warnings from typing import TYPE_CHECKING +from safeds._validation import _check_columns_exist from safeds.data.tabular.containers import Table -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError from ._invertible_table_transformer import InvertibleTableTransformer @@ -49,9 +50,7 @@ def fit(self, table: Table, column_names: list[str] | None) -> LabelEncoder: if column_names is None: column_names = table.column_names else: - missing_columns = sorted(set(column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, column_names) if table.number_of_rows == 0: raise ValueError("The LabelEncoder cannot transform the table because it contains 0 rows") @@ -110,9 +109,7 @@ def transform(self, table: Table) -> Table: raise TransformerNotFittedError # Input table does not contain all columns used to fit the transformer - missing_columns = sorted(set(self._column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, self._column_names) if table.number_of_rows == 0: raise ValueError("The LabelEncoder cannot transform the table because it contains 0 rows") @@ -155,9 +152,7 @@ def inverse_transform(self, transformed_table: Table) -> Table: if self._wrapped_transformer is None or self._column_names is None: raise TransformerNotFittedError - missing_columns = sorted(set(self._column_names) - set(transformed_table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(transformed_table, self._column_names) if transformed_table.number_of_rows == 0: raise ValueError("The LabelEncoder cannot inverse transform the table because it contains 0 rows") diff --git a/src/safeds/data/tabular/transformation/_one_hot_encoder.py b/src/safeds/data/tabular/transformation/_one_hot_encoder.py index 262408192..ee1f5f9ea 100644 --- a/src/safeds/data/tabular/transformation/_one_hot_encoder.py +++ b/src/safeds/data/tabular/transformation/_one_hot_encoder.py @@ -4,11 +4,11 @@ from collections import Counter from typing import Any +from safeds._validation import _check_columns_exist from safeds.data.tabular.containers import Column, Table from safeds.exceptions import ( NonNumericColumnError, TransformerNotFittedError, - UnknownColumnNameError, ValueNotPresentWhenFittedError, ) @@ -106,9 +106,7 @@ def fit(self, table: Table, column_names: list[str] | None) -> OneHotEncoder: if column_names is None: column_names = table.column_names else: - missing_columns = sorted(set(column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, column_names) if table.number_of_rows == 0: raise ValueError("The OneHotEncoder cannot be fitted because the table contains 0 rows") @@ -186,9 +184,7 @@ def transform(self, table: Table) -> Table: raise TransformerNotFittedError # Input table does not contain all columns used to fit the transformer - missing_columns = sorted(set(self._column_names.keys()) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, list(self._column_names.keys())) if table.number_of_rows == 0: raise ValueError("The LabelEncoder cannot transform the table because it contains 0 rows") @@ -269,9 +265,7 @@ def inverse_transform(self, transformed_table: Table) -> Table: _transformed_column_names = [item for sublist in self._column_names.values() for item in sublist] - missing_columns = sorted(set(_transformed_column_names) - set(transformed_table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(transformed_table, _transformed_column_names) if transformed_table.number_of_rows == 0: raise ValueError("The OneHotEncoder cannot inverse transform the table because it contains 0 rows") diff --git a/src/safeds/data/tabular/transformation/_range_scaler.py b/src/safeds/data/tabular/transformation/_range_scaler.py index 14c65c332..2e1e161c9 100644 --- a/src/safeds/data/tabular/transformation/_range_scaler.py +++ b/src/safeds/data/tabular/transformation/_range_scaler.py @@ -2,8 +2,9 @@ from typing import TYPE_CHECKING +from safeds._validation import _check_columns_exist from safeds.data.tabular.containers import Table -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError from ._invertible_table_transformer import InvertibleTableTransformer @@ -68,9 +69,7 @@ def fit(self, table: Table, column_names: list[str] | None) -> RangeScaler: if column_names is None: column_names = table.column_names else: - missing_columns = sorted(set(column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, column_names) if table.number_of_rows == 0: raise ValueError("The RangeScaler cannot be fitted because the table contains 0 rows") @@ -134,9 +133,7 @@ def transform(self, table: Table) -> Table: raise TransformerNotFittedError # Input table does not contain all columns used to fit the transformer - missing_columns = sorted(set(self._column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, self._column_names) if table.number_of_rows == 0: raise ValueError("The RangeScaler cannot transform the table because it contains 0 rows") @@ -194,9 +191,7 @@ def inverse_transform(self, transformed_table: Table) -> Table: if self._wrapped_transformer is None or self._column_names is None: raise TransformerNotFittedError - missing_columns = sorted(set(self._column_names) - set(transformed_table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(transformed_table, self._column_names) if transformed_table.number_of_rows == 0: raise ValueError("The RangeScaler cannot transform the table because it contains 0 rows") diff --git a/src/safeds/data/tabular/transformation/_simple_imputer.py b/src/safeds/data/tabular/transformation/_simple_imputer.py index 9b7b82ea9..063659c37 100644 --- a/src/safeds/data/tabular/transformation/_simple_imputer.py +++ b/src/safeds/data/tabular/transformation/_simple_imputer.py @@ -8,8 +8,9 @@ import pandas as pd from safeds._utils import _structural_hash +from safeds._validation import _check_columns_exist from safeds.data.tabular.containers import Table -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError from ._table_transformer import TableTransformer @@ -144,12 +145,10 @@ def fit(self, table: Table, column_names: list[str] | None) -> SimpleImputer: if column_names is None: column_names = table.column_names else: - missing_columns = sorted(set(column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, column_names) if table.number_of_rows == 0: - raise ValueError("The Imputer cannot be fitted because the table contains 0 rows") + raise ValueError("The SimpleImputer cannot be fitted because the table contains 0 rows") if (isinstance(self._strategy, _Mean | _Median)) and table.remove_columns_except( column_names, @@ -224,9 +223,7 @@ def transform(self, table: Table) -> Table: raise TransformerNotFittedError # Input table does not contain all columns used to fit the transformer - missing_columns = sorted(set(self._column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, self._column_names) if table.number_of_rows == 0: raise ValueError("The Imputer cannot transform the table because it contains 0 rows") diff --git a/src/safeds/data/tabular/transformation/_standard_scaler.py b/src/safeds/data/tabular/transformation/_standard_scaler.py index 75d7ef271..4f1a91e39 100644 --- a/src/safeds/data/tabular/transformation/_standard_scaler.py +++ b/src/safeds/data/tabular/transformation/_standard_scaler.py @@ -2,8 +2,9 @@ from typing import TYPE_CHECKING +from safeds._validation import _check_columns_exist from safeds.data.tabular.containers import Table -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError from ._invertible_table_transformer import InvertibleTableTransformer @@ -50,9 +51,7 @@ def fit(self, table: Table, column_names: list[str] | None) -> StandardScaler: if column_names is None: column_names = table.column_names else: - missing_columns = sorted(set(column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, column_names) if table.number_of_rows == 0: raise ValueError("The StandardScaler cannot be fitted because the table contains 0 rows") @@ -116,9 +115,7 @@ def transform(self, table: Table) -> Table: raise TransformerNotFittedError # Input table does not contain all columns used to fit the transformer - missing_columns = sorted(set(self._column_names) - set(table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(table, self._column_names) if table.number_of_rows == 0: raise ValueError("The StandardScaler cannot transform the table because it contains 0 rows") @@ -176,9 +173,7 @@ def inverse_transform(self, transformed_table: Table) -> Table: if self._wrapped_transformer is None or self._column_names is None: raise TransformerNotFittedError - missing_columns = sorted(set(self._column_names) - set(transformed_table.column_names)) - if len(missing_columns) > 0: - raise UnknownColumnNameError(missing_columns) + _check_columns_exist(transformed_table, self._column_names) if transformed_table.number_of_rows == 0: raise ValueError("The StandardScaler cannot transform the table because it contains 0 rows") diff --git a/src/safeds/data/tabular/typing/_polars_schema.py b/src/safeds/data/tabular/typing/_polars_schema.py index f7b339d16..483b00b49 100644 --- a/src/safeds/data/tabular/typing/_polars_schema.py +++ b/src/safeds/data/tabular/typing/_polars_schema.py @@ -4,7 +4,7 @@ from typing import TYPE_CHECKING from safeds._utils import _structural_hash -from safeds.exceptions import UnknownColumnNameError +from safeds._validation import _check_columns_exist from ._polars_data_type import _PolarsDataType from ._schema import Schema @@ -73,8 +73,8 @@ def column_names(self) -> list[str]: # ------------------------------------------------------------------------------------------------------------------ def get_column_type(self, name: str) -> DataType: - if not self.has_column(name): - raise UnknownColumnNameError([name]) + _check_columns_exist(self, [name]) + return _PolarsDataType(self._schema[name]) def has_column(self, name: str) -> bool: diff --git a/src/safeds/exceptions/__init__.py b/src/safeds/exceptions/__init__.py index 7a654021b..f65c31ea7 100644 --- a/src/safeds/exceptions/__init__.py +++ b/src/safeds/exceptions/__init__.py @@ -1,85 +1,49 @@ """Custom exceptions that can be raised by Safe-DS.""" -from typing import TYPE_CHECKING +from ._data import ( + ColumnLengthMismatchError, + ColumnSizeError, + DuplicateColumnNameError, + DuplicateIndexError, + FileExtensionError, + IllegalFormatError, + IndexOutOfBoundsError, + MissingValuesColumnError, + NonNumericColumnError, + OutputLengthMismatchError, + TransformerNotFittedError, + ValueNotPresentWhenFittedError, +) +from ._ml import ( + DatasetMissesDataError, + DatasetMissesFeaturesError, + FeatureDataMismatchError, + InputSizeError, + InvalidModelStructureError, + LearningError, + ModelNotFittedError, + PlainTableError, + PredictionError, +) -import apipkg -if TYPE_CHECKING: - from safeds.exceptions._data import ( - ColumnLengthMismatchError, - ColumnSizeError, - DuplicateColumnNameError, - DuplicateIndexError, - IllegalFormatError, - IndexOutOfBoundsError, - MissingValuesColumnError, - NonNumericColumnError, - OutputLengthMismatchError, - TransformerNotFittedError, - UnknownColumnNameError, - ValueNotPresentWhenFittedError, - WrongFileExtensionError, - ) - from safeds.exceptions._generic import ( - Bound, - ClosedBound, - OpenBound, - OutOfBoundsError, - ) - from safeds.exceptions._ml import ( - DatasetMissesDataError, - DatasetMissesFeaturesError, - FeatureDataMismatchError, - InputSizeError, - InvalidModelStructureError, - LearningError, - ModelNotFittedError, - PlainTableError, - PredictionError, - ) +class SafeDsError(Exception): + """Base class for all exceptions raised by Safe-DS.""" + + +class ColumnNotFoundError(SafeDsError): + """Exception raised when trying to access an invalid column name.""" + + +class OutOfBoundsError(SafeDsError): + """Exception raised when a value is outside its expected range.""" -apipkg.initpkg( - __name__, - { - # Generic exceptions - "OutOfBoundsError": "._generic:OutOfBoundsError", - # Data exceptions - "ColumnIsTargetError": "._data:ColumnIsTargetError", - "ColumnIsTimeError": "._data:ColumnIsTimeError", - "ColumnLengthMismatchError": "._data:ColumnLengthMismatchError", - "ColumnSizeError": "._data:ColumnSizeError", - "DuplicateColumnNameError": "._data:DuplicateColumnNameError", - "DuplicateIndexError": "._data:DuplicateIndexError", - "IllegalFormatError": "._data:IllegalFormatError", - "IllegalSchemaModificationError": "._data:IllegalSchemaModificationError", - "IndexOutOfBoundsError": "._data:IndexOutOfBoundsError", - "MissingValuesColumnError": "._data:MissingValuesColumnError", - "NonNumericColumnError": "._data:NonNumericColumnError", - "OutputLengthMismatchError": "._data:OutputLengthMismatchError", - "TransformerNotFittedError": "._data:TransformerNotFittedError", - "UnknownColumnNameError": "._data:UnknownColumnNameError", - "ValueNotPresentWhenFittedError": "._data:ValueNotPresentWhenFittedError", - "WrongFileExtensionError": "._data:WrongFileExtensionError", - # ML exceptions - "DatasetMissesDataError": "._ml:DatasetMissesDataError", - "DatasetMissesFeaturesError": "._ml:DatasetMissesFeaturesError", - "FeatureDataMismatchError": "._ml:FeatureDataMismatchError", - "InputSizeError": "._ml:InputSizeError", - "InvalidModelStructureError": "._ml:InvalidModelStructureError", - "LearningError": "._ml:LearningError", - "ModelNotFittedError": "._ml:ModelNotFittedError", - "PlainTableError": "._ml:PlainTableError", - "PredictionError": "._ml:PredictionError", - # Other - "Bound": "._generic:Bound", - "ClosedBound": "._generic:ClosedBound", - "OpenBound": "._generic:OpenBound", - }, -) __all__ = [ - # Generic exceptions + "SafeDsError", + "ColumnNotFoundError", "OutOfBoundsError", + # TODO # Data exceptions "ColumnLengthMismatchError", "ColumnSizeError", @@ -91,9 +55,8 @@ "NonNumericColumnError", "OutputLengthMismatchError", "TransformerNotFittedError", - "UnknownColumnNameError", "ValueNotPresentWhenFittedError", - "WrongFileExtensionError", + "FileExtensionError", # ML exceptions "DatasetMissesDataError", "DatasetMissesFeaturesError", @@ -104,8 +67,4 @@ "ModelNotFittedError", "PlainTableError", "PredictionError", - # Other - "Bound", - "ClosedBound", - "OpenBound", ] diff --git a/src/safeds/exceptions/_data.py b/src/safeds/exceptions/_data.py index a13542537..c4c65d16d 100644 --- a/src/safeds/exceptions/_data.py +++ b/src/safeds/exceptions/_data.py @@ -6,31 +6,6 @@ from pathlib import Path -class UnknownColumnNameError(KeyError): - """ - Exception raised for trying to access an invalid column name. - - Parameters - ---------- - column_names: - The name of the column that was tried to be accessed. - """ - - def __init__(self, column_names: list[str], similar_columns: list[str] | None = None): - class _UnknownColumnNameErrorMessage( - str, - ): # This class is necessary for the newline character in a KeyError exception. See https://stackoverflow.com/a/70114007 - def __repr__(self) -> str: - return str(self) - - error_message = f"Could not find column(s) '{', '.join(column_names)}'." - - if similar_columns is not None and len(similar_columns) > 0: - error_message += f"\nDid you mean '{similar_columns}'?" - - super().__init__(_UnknownColumnNameErrorMessage(error_message)) - - class NonNumericColumnError(TypeError): """Exception raised for trying to do numerical operations on a non-numerical column.""" @@ -153,13 +128,13 @@ def __init__(self, values: list[tuple[str, str]]) -> None: ) -class WrongFileExtensionError(ValueError): +class FileExtensionError(ValueError): """Exception raised when the file has the wrong file extension.""" def __init__(self, file: str | Path, file_extension: str | list[str]) -> None: super().__init__( f"The file {file} has a wrong file extension. Please provide a file with the following extension(s):" - f" {file_extension}", + f" {sorted(file_extension)}", ) diff --git a/src/safeds/exceptions/_generic.py b/src/safeds/exceptions/_generic.py deleted file mode 100644 index b67744328..000000000 --- a/src/safeds/exceptions/_generic.py +++ /dev/null @@ -1,283 +0,0 @@ -from __future__ import annotations - -from abc import ABC, abstractmethod - - -class OutOfBoundsError(ValueError): - """ - A generic exception that can be used to signal that a (float) value is outside its expected range. - - Parameters - ---------- - actual: - The actual value that is outside its expected range. - name: - The name of the offending variable. - lower_bound: - The lower bound of the expected range. Use None if there is no lower Bound. - upper_bound: - The upper bound of the expected range. Use None if there is no upper Bound. - """ - - def __init__( - self, - actual: float, - *, - name: str | None = None, - lower_bound: Bound | None = None, - upper_bound: Bound | None = None, - ): - """ - Initialize an OutOfBoundsError. - - Parameters - ---------- - actual: - The actual value that is outside its expected range. - name: - The name of the offending variable. - lower_bound: - The lower bound of the expected range. Use None if there is no lower Bound. - upper_bound: - The upper bound of the expected range. Use None if there is no upper Bound. - - Raises - ------ - ValueError - - If one of the given Bounds is +/-inf. (For infinite Bounds, pass None instead.) - - If one of the given Bounds is nan. - - If upper_bound < lower_bound. - - If actual does not lie outside the given interval. - - If actual is not a real number. - """ - from numpy import isinf, isnan - - # Validate bound parameters: - if lower_bound is None and upper_bound is None: - raise ValueError("Illegal interval: Attempting to raise OutOfBoundsError, but no bounds given.") - if (lower_bound is not None and isinf(lower_bound.value)) or ( - upper_bound is not None and isinf(upper_bound.value) - ): - raise ValueError("Illegal interval: Lower and upper bounds must be real numbers, or None if unbounded.") - # Validate actual parameter: - if isinf(actual) or isnan(actual): - raise ValueError("Attempting to raise OutOfBoundsError with actual value not being a real number.") - # Use local variables with stricter types to help static analysis: - _lower_bound: Bound = lower_bound if lower_bound is not None else OpenBound(float("-inf")) - _upper_bound: Bound = upper_bound if upper_bound is not None else OpenBound(float("inf")) - # Check bounds: - if _upper_bound.value < _lower_bound.value: - raise ValueError( - ( - f"Illegal interval: Attempting to raise OutOfBoundsError, but given upper bound {_upper_bound} is " - f"actually less than given lower bound {_lower_bound}." - ), - ) - # Check that actual is indeed outside the interval: - elif _lower_bound._check_lower_bound(actual) and _upper_bound._check_upper_bound(actual): - raise ValueError( - ( - f"Illegal interval: Attempting to raise OutOfBoundsError, but value {actual} is not actually" - f" outside given interval {_lower_bound._str_lower_bound()}, {_upper_bound._str_upper_bound()}." - ), - ) - # Raise the actual exception: - full_variable_name = actual if name is None else f"{name} (={actual})" - super().__init__( - f"{full_variable_name} is not inside {_lower_bound._str_lower_bound()}, {_upper_bound._str_upper_bound()}.", - ) - - -class Bound(ABC): - """ - Abstract base class for (lower or upper) Bounds on a float value. - - Parameters - ---------- - value: - The value of the Bound. - """ - - def __init__(self, value: float): - """ - Initialize a Bound. - - Parameters - ---------- - value: - The value of the Bound. - - Raises - ------ - ValueError - If value is nan or if value is +/-inf and the Bound type does not allow for infinite Bounds. - """ - from numpy import isnan - - if isnan(value): - raise ValueError("Bound must be a real number, not nan.") - self._value = value - - def __str__(self) -> str: - """Get a string representation of the concrete value of the Bound.""" - return str(self.value) - - @property - def value(self) -> float: - """Get the concrete value of the Bound.""" - return self._value - - @abstractmethod - def _str_lower_bound(self) -> str: - """Get a string representation of the Bound as the lower Bound of an interval.""" - - @abstractmethod - def _str_upper_bound(self) -> str: - """Get a string representation of the Bound as the upper Bound of an interval.""" - - @abstractmethod - def _check_lower_bound(self, actual: float) -> bool: - """ - Check that a value does not exceed the Bound on the lower side. - - Parameters - ---------- - actual: - The actual value that should be checked for not exceeding the Bound. - """ - - @abstractmethod - def _check_upper_bound(self, actual: float) -> bool: - """ - Check that a value does not exceed the Bound on the upper side. - - Parameters - ---------- - actual: - The actual value that should be checked for not exceeding the Bound. - """ - - -class ClosedBound(Bound): - """ - A closed Bound, i.e. the value on the border belongs to the range. - - Parameters - ---------- - value: - The value of the Bound. - """ - - def __init__(self, value: float): - """ - Initialize a ClosedBound. - - Parameters - ---------- - value: - The value of the ClosedBound. - - Raises - ------ - ValueError - If value is nan or if value is +/-inf. - """ - if value == float("-inf") or value == float("inf"): - raise ValueError("ClosedBound must be a real number, not +/-inf.") - super().__init__(value) - - def _str_lower_bound(self) -> str: - """Get a string representation of the ClosedBound as the lower Bound of an interval.""" - return f"[{self}" - - def _str_upper_bound(self) -> str: - """Get a string representation of the ClosedBound as the upper Bound of an interval.""" - return f"{self}]" - - def _check_lower_bound(self, actual: float) -> bool: - """ - Check that a value is not strictly lower than the ClosedBound. - - Parameters - ---------- - actual: - The actual value that should be checked for not exceeding the Bound. - """ - return actual >= self.value - - def _check_upper_bound(self, actual: float) -> bool: - """ - Check that a value is not strictly higher than the ClosedBound. - - Parameters - ---------- - actual: - The actual value that should be checked for not exceeding the Bound. - """ - return actual <= self.value - - -class OpenBound(Bound): - """ - An open Bound, i.e. the value on the border does not belong to the range. - - Parameters - ---------- - value: - The value of the OpenBound. - """ - - def __init__(self, value: float): - """ - Initialize an OpenBound. - - Parameters - ---------- - value: - The value of the OpenBound. - - Raises - ------ - ValueError - If value is nan. - """ - super().__init__(value) - - def __str__(self) -> str: - """Get a string representation of the concrete value of the OpenBound.""" - if self.value == float("-inf"): - return "-\u221e" - elif self.value == float("inf"): - return "\u221e" - else: - return super().__str__() - - def _str_lower_bound(self) -> str: - """Get a string representation of the OpenBound as the lower Bound of an interval.""" - return f"({self}" - - def _str_upper_bound(self) -> str: - """Get a string representation of the OpenBound as the upper Bound of an interval.""" - return f"{self})" - - def _check_lower_bound(self, actual: float) -> bool: - """ - Check that a value is not lower or equal to the OpenBound. - - Parameters - ---------- - actual: - The actual value that should be checked for not exceeding the Bound. - """ - return actual > self.value - - def _check_upper_bound(self, actual: float) -> bool: - """ - Check that a value is not higher or equal to the OpenBound. - - Parameters - ---------- - actual: - The actual value that should be checked for not exceeding the Bound. - """ - return actual < self.value diff --git a/src/safeds/ml/classical/_bases/_ada_boost_base.py b/src/safeds/ml/classical/_bases/_ada_boost_base.py index d4205696d..e6492a564 100644 --- a/src/safeds/ml/classical/_bases/_ada_boost_base.py +++ b/src/safeds/ml/classical/_bases/_ada_boost_base.py @@ -4,7 +4,7 @@ from typing import TYPE_CHECKING from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OpenBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound, _OpenBound if TYPE_CHECKING: from safeds.ml.classical import SupervisedModel @@ -23,14 +23,8 @@ def __init__( learning_rate: float, ) -> None: # Validation - if maximum_number_of_learners < 1: - raise OutOfBoundsError( - maximum_number_of_learners, - name="maximum_number_of_learners", - lower_bound=ClosedBound(1), - ) - if learning_rate <= 0: - raise OutOfBoundsError(learning_rate, name="learning_rate", lower_bound=OpenBound(0)) + _check_bounds("maximum_number_of_learners", maximum_number_of_learners, lower_bound=_ClosedBound(1)) + _check_bounds("learning_rate", learning_rate, lower_bound=_OpenBound(0)) # Hyperparameters self._maximum_number_of_learners: int = maximum_number_of_learners diff --git a/src/safeds/ml/classical/_bases/_decision_tree_base.py b/src/safeds/ml/classical/_bases/_decision_tree_base.py index f26f30750..6dd19d058 100644 --- a/src/safeds/ml/classical/_bases/_decision_tree_base.py +++ b/src/safeds/ml/classical/_bases/_decision_tree_base.py @@ -3,7 +3,7 @@ from abc import ABC, abstractmethod from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound class _DecisionTreeBase(ABC): @@ -19,14 +19,12 @@ def __init__( minimum_number_of_samples_in_leaves: int, ) -> None: # Validation - if maximum_depth is not None and maximum_depth < 1: - raise OutOfBoundsError(maximum_depth, name="maximum_depth", lower_bound=ClosedBound(1)) - if minimum_number_of_samples_in_leaves < 1: - raise OutOfBoundsError( - minimum_number_of_samples_in_leaves, - name="minimum_number_of_samples_in_leaves", - lower_bound=ClosedBound(1), - ) + _check_bounds("maximum_depth", maximum_depth, lower_bound=_ClosedBound(1)) + _check_bounds( + "minimum_number_of_samples_in_leaves", + minimum_number_of_samples_in_leaves, + lower_bound=_ClosedBound(1), + ) # Hyperparameters self._maximum_depth: int | None = maximum_depth diff --git a/src/safeds/ml/classical/_bases/_gradient_boosting_base.py b/src/safeds/ml/classical/_bases/_gradient_boosting_base.py index 0750fb207..51b4f9913 100644 --- a/src/safeds/ml/classical/_bases/_gradient_boosting_base.py +++ b/src/safeds/ml/classical/_bases/_gradient_boosting_base.py @@ -3,7 +3,7 @@ from abc import ABC, abstractmethod from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OpenBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound, _OpenBound class _GradientBoostingBase(ABC): @@ -19,10 +19,8 @@ def __init__( learning_rate: float, ) -> None: # Validation - if number_of_trees < 1: - raise OutOfBoundsError(number_of_trees, name="number_of_trees", lower_bound=ClosedBound(1)) - if learning_rate <= 0: - raise OutOfBoundsError(learning_rate, name="learning_rate", lower_bound=OpenBound(0)) + _check_bounds("number_of_trees", number_of_trees, lower_bound=_ClosedBound(1)) + _check_bounds("learning_rate", learning_rate, lower_bound=_OpenBound(0)) # Hyperparameters self._number_of_trees = number_of_trees diff --git a/src/safeds/ml/classical/_bases/_k_nearest_neighbors_base.py b/src/safeds/ml/classical/_bases/_k_nearest_neighbors_base.py index 307d16f27..ecb722238 100644 --- a/src/safeds/ml/classical/_bases/_k_nearest_neighbors_base.py +++ b/src/safeds/ml/classical/_bases/_k_nearest_neighbors_base.py @@ -3,7 +3,7 @@ from abc import ABC, abstractmethod from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound class _KNearestNeighborsBase(ABC): @@ -18,8 +18,7 @@ def __init__( number_of_neighbors: int, ) -> None: # Validation - if number_of_neighbors < 1: - raise OutOfBoundsError(number_of_neighbors, name="number_of_neighbors", lower_bound=ClosedBound(1)) + _check_bounds("number_of_neighbors", number_of_neighbors, lower_bound=_ClosedBound(1)) # Hyperparameters self._number_of_neighbors = number_of_neighbors diff --git a/src/safeds/ml/classical/_bases/_random_forest_base.py b/src/safeds/ml/classical/_bases/_random_forest_base.py index 6c6c9b7c2..94122e5d4 100644 --- a/src/safeds/ml/classical/_bases/_random_forest_base.py +++ b/src/safeds/ml/classical/_bases/_random_forest_base.py @@ -3,7 +3,7 @@ from abc import ABC, abstractmethod from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound class _RandomForestBase(ABC): @@ -20,16 +20,13 @@ def __init__( minimum_number_of_samples_in_leaves: int, ) -> None: # Validation - if number_of_trees < 1: - raise OutOfBoundsError(number_of_trees, name="number_of_trees", lower_bound=ClosedBound(1)) - if maximum_depth is not None and maximum_depth < 1: - raise OutOfBoundsError(maximum_depth, name="maximum_depth", lower_bound=ClosedBound(1)) - if minimum_number_of_samples_in_leaves < 1: - raise OutOfBoundsError( - minimum_number_of_samples_in_leaves, - name="minimum_number_of_samples_in_leaves", - lower_bound=ClosedBound(1), - ) + _check_bounds("number_of_trees", number_of_trees, lower_bound=_ClosedBound(1)) + _check_bounds("maximum_depth", maximum_depth, lower_bound=_ClosedBound(1)) + _check_bounds( + "minimum_number_of_samples_in_leaves", + minimum_number_of_samples_in_leaves, + lower_bound=_ClosedBound(1), + ) # Hyperparameters self._number_of_trees: int = number_of_trees diff --git a/src/safeds/ml/classical/_bases/_support_vector_machine_base.py b/src/safeds/ml/classical/_bases/_support_vector_machine_base.py index e06dfd074..f5fa1c308 100644 --- a/src/safeds/ml/classical/_bases/_support_vector_machine_base.py +++ b/src/safeds/ml/classical/_bases/_support_vector_machine_base.py @@ -5,7 +5,7 @@ from typing import TYPE_CHECKING from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OpenBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound, _OpenBound if TYPE_CHECKING: from sklearn.svm import SVC as SklearnSVC # noqa: N811 @@ -79,12 +79,12 @@ def __init__( c: float, kernel: _SupportVectorMachineBase.Kernel | None, ) -> None: - # Validation - if c <= 0: - raise OutOfBoundsError(c, name="c", lower_bound=OpenBound(0)) if kernel is None: kernel = _SupportVectorMachineBase.Kernel.radial_basis_function() + # Validation + _check_bounds("c", c, lower_bound=_OpenBound(0)) + # Hyperparameters self._c: float = c self._kernel: _SupportVectorMachineBase.Kernel = kernel @@ -115,6 +115,7 @@ def kernel(self) -> _SupportVectorMachineBase.Kernel: # Kernels # ---------------------------------------------------------------------------------------------------------------------- + class _Linear(_SupportVectorMachineBase.Kernel): # ------------------------------------------------------------------------------------------------------------------ @@ -147,8 +148,7 @@ class _Polynomial(_SupportVectorMachineBase.Kernel): # ------------------------------------------------------------------------------------------------------------------ def __init__(self, degree: int): - if degree < 1: - raise OutOfBoundsError(degree, name="degree", lower_bound=ClosedBound(1)) + _check_bounds("degree", degree, lower_bound=_ClosedBound(1)) self._degree = degree diff --git a/src/safeds/ml/classical/regression/_elastic_net_regressor.py b/src/safeds/ml/classical/regression/_elastic_net_regressor.py index 34ce211f4..0e0fedc64 100644 --- a/src/safeds/ml/classical/regression/_elastic_net_regressor.py +++ b/src/safeds/ml/classical/regression/_elastic_net_regressor.py @@ -5,7 +5,7 @@ from warnings import warn from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound from ._regressor import Regressor @@ -38,8 +38,7 @@ def __init__(self, *, alpha: float = 1.0, lasso_ratio: float = 0.5) -> None: super().__init__() # Validation - if alpha < 0: - raise OutOfBoundsError(alpha, name="alpha", lower_bound=ClosedBound(0)) + _check_bounds("alpha", alpha, lower_bound=_ClosedBound(0)) if alpha == 0: warn( ( @@ -49,14 +48,9 @@ def __init__(self, *, alpha: float = 1.0, lasso_ratio: float = 0.5) -> None: UserWarning, stacklevel=2, ) - if lasso_ratio < 0 or lasso_ratio > 1: - raise OutOfBoundsError( - lasso_ratio, - name="lasso_ratio", - lower_bound=ClosedBound(0), - upper_bound=ClosedBound(1), - ) - elif lasso_ratio == 0: + + _check_bounds("lasso_ratio", lasso_ratio, lower_bound=_ClosedBound(0), upper_bound=_ClosedBound(1)) + if lasso_ratio == 0: warnings.warn( ( "ElasticNetRegression with lasso_ratio = 0 is essentially RidgeRegression." diff --git a/src/safeds/ml/classical/regression/_lasso_regressor.py b/src/safeds/ml/classical/regression/_lasso_regressor.py index dc2318a75..f9cae7daa 100644 --- a/src/safeds/ml/classical/regression/_lasso_regressor.py +++ b/src/safeds/ml/classical/regression/_lasso_regressor.py @@ -4,7 +4,7 @@ from warnings import warn from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound from ._regressor import Regressor @@ -34,8 +34,7 @@ def __init__(self, *, alpha: float = 1.0) -> None: super().__init__() # Validation - if alpha < 0: - raise OutOfBoundsError(alpha, name="alpha", lower_bound=ClosedBound(0)) + _check_bounds("alpha", alpha, lower_bound=_ClosedBound(0)) if alpha == 0: warn( ( diff --git a/src/safeds/ml/classical/regression/_ridge_regressor.py b/src/safeds/ml/classical/regression/_ridge_regressor.py index ffb975008..d6226793d 100644 --- a/src/safeds/ml/classical/regression/_ridge_regressor.py +++ b/src/safeds/ml/classical/regression/_ridge_regressor.py @@ -4,7 +4,7 @@ from typing import TYPE_CHECKING from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError +from safeds._validation import _check_bounds, _ClosedBound from ._regressor import Regressor @@ -35,8 +35,7 @@ def __init__(self, *, alpha: float = 1.0) -> None: super().__init__() # Validation - if alpha < 0: - raise OutOfBoundsError(alpha, name="alpha", lower_bound=ClosedBound(0)) + _check_bounds("alpha", alpha, lower_bound=_ClosedBound(0)) if alpha == 0.0: warnings.warn( ( diff --git a/src/safeds/ml/nn/_forward_layer.py b/src/safeds/ml/nn/_forward_layer.py index 39f07bfa3..59b4abba8 100644 --- a/src/safeds/ml/nn/_forward_layer.py +++ b/src/safeds/ml/nn/_forward_layer.py @@ -3,13 +3,13 @@ from typing import TYPE_CHECKING, Any from safeds._config import _init_default_device +from safeds._validation import _check_bounds, _ClosedBound from safeds.data.image.typing import ImageSize if TYPE_CHECKING: from torch import Tensor, nn from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError from safeds.ml.nn import Layer @@ -61,8 +61,9 @@ def __init__(self, output_size: int, input_size: int | None = None): """ if input_size is not None: self._set_input_size(input_size=input_size) - if output_size < 1: - raise OutOfBoundsError(actual=output_size, name="output_size", lower_bound=ClosedBound(1)) + + _check_bounds("output_size", output_size, lower_bound=_ClosedBound(1)) + self._output_size = output_size def _get_internal_layer(self, **kwargs: Any) -> nn.Module: @@ -101,8 +102,9 @@ def output_size(self) -> int: def _set_input_size(self, input_size: int | ImageSize) -> None: if isinstance(input_size, ImageSize): raise TypeError("The input_size of a forward layer has to be of type int.") - if input_size < 1: - raise OutOfBoundsError(actual=input_size, name="input_size", lower_bound=ClosedBound(1)) + + _check_bounds("input_size", input_size, lower_bound=_ClosedBound(1)) + self._input_size = input_size def __hash__(self) -> int: diff --git a/src/safeds/ml/nn/_lstm_layer.py b/src/safeds/ml/nn/_lstm_layer.py index 33f29fa0c..77e2f05f4 100644 --- a/src/safeds/ml/nn/_lstm_layer.py +++ b/src/safeds/ml/nn/_lstm_layer.py @@ -3,6 +3,7 @@ from typing import TYPE_CHECKING, Any from safeds._config import _init_default_device +from safeds._validation import _check_bounds, _ClosedBound from safeds.data.image.typing import ImageSize if TYPE_CHECKING: @@ -11,7 +12,6 @@ import sys from safeds._utils import _structural_hash -from safeds.exceptions import ClosedBound, OutOfBoundsError from safeds.ml.nn import Layer @@ -62,8 +62,9 @@ def __init__(self, output_size: int, input_size: int | None = None): """ if input_size is not None: self._set_input_size(input_size=input_size) - if output_size < 1: - raise OutOfBoundsError(actual=output_size, name="output_size", lower_bound=ClosedBound(1)) + + _check_bounds("output_size", output_size, lower_bound=_ClosedBound(1)) + self._output_size = output_size def _get_internal_layer(self, **kwargs: Any) -> nn.Module: @@ -102,8 +103,9 @@ def output_size(self) -> int: def _set_input_size(self, input_size: int | ImageSize) -> None: if isinstance(input_size, ImageSize): raise TypeError("The input_size of a forward layer has to be of type int.") - if input_size < 1: - raise OutOfBoundsError(actual=input_size, name="input_size", lower_bound=ClosedBound(1)) + + _check_bounds("input_size", input_size, lower_bound=_ClosedBound(1)) + self._input_size = input_size def __hash__(self) -> int: diff --git a/src/safeds/ml/nn/_model.py b/src/safeds/ml/nn/_model.py index 8dfbc9f74..8f80a25ac 100644 --- a/src/safeds/ml/nn/_model.py +++ b/src/safeds/ml/nn/_model.py @@ -4,16 +4,15 @@ from typing import TYPE_CHECKING, Generic, Self, TypeVar from safeds._config import _init_default_device +from safeds._validation import _check_bounds, _ClosedBound from safeds.data.image.containers import ImageList from safeds.data.labeled.containers import ImageDataset, TabularDataset, TimeSeriesDataset from safeds.data.tabular.containers import Table from safeds.exceptions import ( - ClosedBound, FeatureDataMismatchError, InputSizeError, InvalidModelStructureError, ModelNotFittedError, - OutOfBoundsError, ) from safeds.ml.nn import ( Convolutional2DLayer, @@ -162,10 +161,10 @@ def fit( if not self._input_conversion._is_fit_data_valid(train_data): raise FeatureDataMismatchError - if epoch_size < 1: - raise OutOfBoundsError(actual=epoch_size, name="epoch_size", lower_bound=ClosedBound(1)) - if batch_size < 1: - raise OutOfBoundsError(actual=batch_size, name="batch_size", lower_bound=ClosedBound(1)) + + _check_bounds("epoch_size", epoch_size, lower_bound=_ClosedBound(1)) + _check_bounds("batch_size", batch_size, lower_bound=_ClosedBound(1)) + if self._input_conversion._data_size is not self._input_size: raise InputSizeError(self._input_conversion._data_size, self._input_size) @@ -378,10 +377,10 @@ def fit( if not self._input_conversion._is_fit_data_valid(train_data): raise FeatureDataMismatchError - if epoch_size < 1: - raise OutOfBoundsError(actual=epoch_size, name="epoch_size", lower_bound=ClosedBound(1)) - if batch_size < 1: - raise OutOfBoundsError(actual=batch_size, name="batch_size", lower_bound=ClosedBound(1)) + + _check_bounds("epoch_size", epoch_size, lower_bound=_ClosedBound(1)) + _check_bounds("batch_size", batch_size, lower_bound=_ClosedBound(1)) + if self._input_conversion._data_size is not self._input_size: raise InputSizeError(self._input_conversion._data_size, self._input_size) diff --git a/src/safeds/ml/nn/_output_conversion_time_series.py b/src/safeds/ml/nn/_output_conversion_time_series.py index dadfd03b5..11518dfb4 100644 --- a/src/safeds/ml/nn/_output_conversion_time_series.py +++ b/src/safeds/ml/nn/_output_conversion_time_series.py @@ -8,7 +8,7 @@ if TYPE_CHECKING: from torch import Tensor from safeds.data.labeled.containers import TimeSeriesDataset -from safeds.data.tabular.containers import Column, Table +from safeds.data.tabular.containers import Column from safeds.ml.nn._output_conversion import OutputConversion @@ -78,7 +78,7 @@ def _data_conversion(self, input_data: TimeSeriesDataset, output_data: Tensor, * window_size: int = kwargs["window_size"] forecast_horizon: int = kwargs["forecast_horizon"] input_data_table = input_data.to_table() - input_data_table = Table.from_rows(input_data_table.to_rows()[window_size + forecast_horizon :]) + input_data_table = input_data_table.slice_rows(window_size + forecast_horizon) return input_data_table.add_columns( [Column(self._prediction_name, output_data.tolist())], diff --git a/tests/safeds/data/image/containers/test_image.py b/tests/safeds/data/image/containers/test_image.py index 5cecde78a..5b1e51672 100644 --- a/tests/safeds/data/image/containers/test_image.py +++ b/tests/safeds/data/image/containers/test_image.py @@ -435,10 +435,7 @@ def test_should_return_resized_image( def test_should_raise(self, resource_path: str, new_width: int, new_height: int, device: Device) -> None: configure_test_with_device(device) image = Image.from_file(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of the new sizes new_width and new_height \(={min(new_width, new_height)}\) is not inside \[1, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image.resize(new_width, new_height) @@ -500,10 +497,7 @@ def test_should_raise_invalid_size( ) -> None: configure_test_with_device(device) image = Image.from_file(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of width and height \(={min(new_width, new_height)}\) is not inside \[1, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image.crop(0, 0, new_width, new_height) @pytest.mark.parametrize( @@ -519,10 +513,7 @@ def test_should_raise_invalid_size( def test_should_raise_invalid_coordinates(self, resource_path: str, new_x: int, new_y: int, device: Device) -> None: configure_test_with_device(device) image = Image.from_file(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of the coordinates x and y \(={min(new_x, new_y)}\) is not inside \[0, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image.crop(new_x, new_y, 100, 100) @pytest.mark.parametrize( @@ -662,7 +653,7 @@ def test_should_not_brighten(self, resource_path: str, device: Device) -> None: def test_should_raise(self, resource_path: str, device: Device) -> None: configure_test_with_device(device) image = Image.from_file(resolve_resource_path(resource_path)) - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): image.adjust_brightness(-1) @@ -715,10 +706,7 @@ def test_should_raise_standard_deviation( ) -> None: configure_test_with_device(device) image = Image.from_file(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): image.add_noise(standard_deviation) @@ -766,7 +754,7 @@ def test_should_not_adjust_contrast(self, resource_path: str, device: Device) -> ) def test_should_raise_negative_contrast(self, resource_path: str, device: Device) -> None: configure_test_with_device(device) - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1.0\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): Image.from_file(resolve_resource_path(resource_path)).adjust_contrast(-1.0) @@ -828,7 +816,7 @@ def test_should_not_adjust_colors_channel_1(self, resource_path: str, device: De ) def test_should_raise_negative_color_adjust(self, resource_path: str, device: Device) -> None: configure_test_with_device(device) - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1.0\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): Image.from_file(resolve_resource_path(resource_path)).adjust_color_balance(-1.0) @@ -875,15 +863,9 @@ def test_should_not_blur_radius_0(self, resource_path: str, device: Device) -> N def test_should_raise_blur_radius_out_of_bounds(self, resource_path: str, device: Device) -> None: configure_test_with_device(device) image = Image.from_file(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"radius \(=-1\) is not inside \[0, {min(image.width, image.height) - 1}\].", - ): + with pytest.raises(OutOfBoundsError): image.blur(-1) - with pytest.raises( - OutOfBoundsError, - match=rf"radius \(={min(image.width, image.height)}\) is not inside \[0, {min(image.width, image.height) - 1}\].", - ): + with pytest.raises(OutOfBoundsError): image.blur(min(image.width, image.height)) @@ -916,7 +898,7 @@ def test_should_sharpen( ) def test_should_raise_negative_sharpen(self, resource_path: str, device: Device) -> None: configure_test_with_device(device) - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1.0\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): Image.from_file(resolve_resource_path(resource_path)).sharpen(-1.0) @pytest.mark.parametrize( diff --git a/tests/safeds/data/image/containers/test_image_list.py b/tests/safeds/data/image/containers/test_image_list.py index b456001a2..5e8f8fb96 100644 --- a/tests/safeds/data/image/containers/test_image_list.py +++ b/tests/safeds/data/image/containers/test_image_list.py @@ -537,7 +537,7 @@ def test_should_raise_if_load_percentage_out_of_bounds( self, resource_path: str | Path, load_percentage: float, device: Device ) -> None: configure_test_with_device(device) - with pytest.raises(OutOfBoundsError, match=rf"load_percentage \(={load_percentage}\) is not inside \[0, 1\]."): + with pytest.raises(OutOfBoundsError): ImageList.from_files(resolve_resource_path(resource_path), load_percentage=load_percentage) def test_create_from_single_sized_image_lists_one_image_list(self, device: Device) -> None: @@ -1123,10 +1123,7 @@ def test_should_raise_negative_size( ) -> None: configure_test_with_device(device) image_list = ImageList.from_files(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of width and height \(={min(width, height)}\) is not inside \[1, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image_list.remove_images_with_size(width, height) class TestResize: @@ -1141,10 +1138,7 @@ def test_should_raise_new_size( ) -> None: configure_test_with_device(device) image_list = ImageList.from_files(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of the new sizes new_width and new_height \(={min(new_width, new_height)}\) is not inside \[1, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image_list.resize(new_width, new_height) class TestCrop: @@ -1159,10 +1153,7 @@ def test_should_raise_invalid_size( ) -> None: configure_test_with_device(device) image_list = ImageList.from_files(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of width and height \(={min(new_width, new_height)}\) is not inside \[1, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image_list.crop(0, 0, new_width, new_height) @pytest.mark.parametrize( @@ -1175,10 +1166,7 @@ def test_should_raise_invalid_coordinates( ) -> None: configure_test_with_device(device) image_list = ImageList.from_files(resolve_resource_path(resource_path)) - with pytest.raises( - OutOfBoundsError, - match=rf"At least one of the coordinates x and y \(={min(new_x, new_y)}\) is not inside \[0, \u221e\).", - ): + with pytest.raises(OutOfBoundsError): image_list.crop(new_x, new_y, 100, 100) class TestAddNoise: @@ -1194,10 +1182,7 @@ def test_should_raise_standard_deviation( configure_test_with_device(device) image_list_original = ImageList.from_files(resolve_resource_path(resource_path)) image_list_clone = image_list_original._clone() - with pytest.raises( - OutOfBoundsError, - match=rf"standard_deviation \(={standard_deviation}\) is not inside \[0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): image_list_original.add_noise(standard_deviation) assert image_list_original == image_list_clone @@ -1217,7 +1202,7 @@ def test_should_raise( configure_test_with_device(device) image_list_original = ImageList.from_files(resolve_resource_path(resource_path)) image_list_clone = image_list_original._clone() - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): image_list_original.adjust_brightness(factor) assert image_list_original == image_list_clone @@ -1253,7 +1238,7 @@ def test_should_raise( configure_test_with_device(device) image_list_original = ImageList.from_files(resolve_resource_path(resource_path)) image_list_clone = image_list_original._clone() - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): image_list_original.adjust_contrast(factor) assert image_list_original == image_list_clone @@ -1289,7 +1274,7 @@ def test_should_raise( configure_test_with_device(device) image_list_original = ImageList.from_files(resolve_resource_path(resource_path)) image_list_clone = image_list_original._clone() - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): image_list_original.adjust_color_balance(factor) assert image_list_original == image_list_clone @@ -1315,15 +1300,9 @@ def test_should_raise_radius_out_of_bounds(self, resource_path: str, device: Dev configure_test_with_device(device) image_list_original = ImageList.from_files(resolve_resource_path(resource_path)) image_list_clone = image_list_original._clone() - with pytest.raises( - OutOfBoundsError, - match=rf"radius \(=-1\) is not inside \[0, {'0' if isinstance(image_list_original, _EmptyImageList) else min(*image_list_original.widths, *image_list_original.heights) - 1}\].", - ): + with pytest.raises(OutOfBoundsError): image_list_original.blur(-1) - with pytest.raises( - OutOfBoundsError, - match=rf"radius \(={'1' if isinstance(image_list_original, _EmptyImageList) else min(*image_list_original.widths, *image_list_original.heights)}\) is not inside \[0, {'0' if isinstance(image_list_original, _EmptyImageList) else min(*image_list_original.widths, *image_list_original.heights) - 1}\].", - ): + with pytest.raises(OutOfBoundsError): image_list_original.blur( ( 1 @@ -1361,7 +1340,7 @@ def test_should_raise( configure_test_with_device(device) image_list_original = ImageList.from_files(resolve_resource_path(resource_path)) image_list_clone = image_list_original._clone() - with pytest.raises(OutOfBoundsError, match=r"factor \(=-1\) is not inside \[0, \u221e\)."): + with pytest.raises(OutOfBoundsError): image_list_original.sharpen(factor) assert image_list_original == image_list_clone diff --git a/tests/safeds/data/image/typing/test_image_size.py b/tests/safeds/data/image/typing/test_image_size.py index 1c89b46f1..88cfe0b8e 100644 --- a/tests/safeds/data/image/typing/test_image_size.py +++ b/tests/safeds/data/image/typing/test_image_size.py @@ -101,12 +101,12 @@ class TestErrors: @pytest.mark.parametrize("width", [-1, 0]) def test_should_raise_invalid_width(self, width: int) -> None: - with pytest.raises(OutOfBoundsError, match=rf"{width} is not inside \[1, \u221e\)."): + with pytest.raises(OutOfBoundsError): ImageSize(width, 1, 1) @pytest.mark.parametrize("height", [-1, 0]) def test_should_raise_invalid_height(self, height: int) -> None: - with pytest.raises(OutOfBoundsError, match=rf"{height} is not inside \[1, \u221e\)."): + with pytest.raises(OutOfBoundsError): ImageSize(1, height, 1) @pytest.mark.parametrize("channel", [-1, 0, 2, 5]) @@ -116,5 +116,5 @@ def test_should_raise_invalid_channel(self, channel: int) -> None: @pytest.mark.parametrize("channel", [-1, 0]) def test_should_raise_negative_channel_ignore_invalid_channel(self, channel: int) -> None: - with pytest.raises(OutOfBoundsError, match=rf"channel \(={channel}\) is not inside \[1, \u221e\)."): + with pytest.raises(OutOfBoundsError): ImageSize(1, 1, channel, _ignore_invalid_channel=True) diff --git a/tests/safeds/data/labeled/containers/_tabular_dataset/test_init.py b/tests/safeds/data/labeled/containers/_tabular_dataset/test_init.py index 4f42c6e4f..93d5f6681 100644 --- a/tests/safeds/data/labeled/containers/_tabular_dataset/test_init.py +++ b/tests/safeds/data/labeled/containers/_tabular_dataset/test_init.py @@ -1,7 +1,7 @@ import pytest from safeds.data.labeled.containers import TabularDataset from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError @pytest.mark.parametrize( @@ -16,8 +16,8 @@ }, "T", ["D", "E"], - UnknownColumnNameError, - r"Could not find column\(s\) 'D, E'", + ColumnNotFoundError, + None, ), ( { @@ -28,8 +28,8 @@ }, "D", [], - UnknownColumnNameError, - r"Could not find column\(s\) 'D'", + ColumnNotFoundError, + None, ), ( { @@ -75,8 +75,8 @@ ), "T", ["D", "E"], - UnknownColumnNameError, - r"Could not find column\(s\) 'D, E'", + ColumnNotFoundError, + None, ), ( Table( @@ -89,8 +89,8 @@ ), "D", [], - UnknownColumnNameError, - r"Could not find column\(s\) 'D'", + ColumnNotFoundError, + None, ), ( Table( @@ -150,7 +150,7 @@ def test_should_raise_error( target_name: str, extra_names: list[str] | None, error: type[Exception], - error_msg: str, + error_msg: str | None, ) -> None: with pytest.raises(error, match=error_msg): TabularDataset(data, target_name=target_name, extra_names=extra_names) diff --git a/tests/safeds/data/labeled/containers/_time_series_dataset/test_init.py b/tests/safeds/data/labeled/containers/_time_series_dataset/test_init.py index e27e8ba8d..c4542f8ea 100644 --- a/tests/safeds/data/labeled/containers/_time_series_dataset/test_init.py +++ b/tests/safeds/data/labeled/containers/_time_series_dataset/test_init.py @@ -1,7 +1,7 @@ import pytest from safeds.data.labeled.containers import TimeSeriesDataset from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError @pytest.mark.parametrize( @@ -18,8 +18,8 @@ "T", "time", ["D", "E"], - UnknownColumnNameError, - r"Could not find column\(s\) 'D, E'", + ColumnNotFoundError, + None, ), ( { @@ -32,8 +32,8 @@ "D", "time", [], - UnknownColumnNameError, - r"Could not find column\(s\) 'D'", + ColumnNotFoundError, + None, ), ( { @@ -76,8 +76,8 @@ "T", "time", ["D", "E"], - UnknownColumnNameError, - r"Could not find column\(s\) 'D, E'", + ColumnNotFoundError, + None, ), ( Table( @@ -92,8 +92,8 @@ "D", "time", [], - UnknownColumnNameError, - r"Could not find column\(s\) 'D'", + ColumnNotFoundError, + None, ), ( Table( @@ -128,7 +128,7 @@ def test_should_raise_error( time_name: str, extra_names: list[str] | None, error: type[Exception], - error_msg: str, + error_msg: str | None, ) -> None: with pytest.raises(error, match=error_msg): TimeSeriesDataset(data, target_name=target_name, time_name=time_name, extra_names=extra_names) diff --git a/tests/safeds/data/labeled/containers/_time_series_dataset/test_into_dataloader.py b/tests/safeds/data/labeled/containers/_time_series_dataset/test_into_dataloader.py index 90ba09664..483f75e45 100644 --- a/tests/safeds/data/labeled/containers/_time_series_dataset/test_into_dataloader.py +++ b/tests/safeds/data/labeled/containers/_time_series_dataset/test_into_dataloader.py @@ -109,7 +109,7 @@ def test_should_create_dataloader_predict( 1, 0, OutOfBoundsError, - r"forecast_horizon \(=0\) is not inside \[1, \u221e\).", + None, ), ( Table( @@ -123,7 +123,7 @@ def test_should_create_dataloader_predict( 0, 1, OutOfBoundsError, - r"window_size \(=0\) is not inside \[1, \u221e\).", + None, ), ], ids=[ @@ -138,7 +138,7 @@ def test_should_create_dataloader_invalid( window_size: int, forecast_horizon: int, error_type: type[ValueError], - error_msg: str, + error_msg: str | None, device: Device, ) -> None: configure_test_with_device(device) @@ -210,5 +210,7 @@ def test_should_create_dataloader_predict_invalid( configure_test_with_device(device) with pytest.raises(error_type, match=error_msg): data._into_dataloader_with_window_predict( - window_size=window_size, forecast_horizon=forecast_horizon, batch_size=1, + window_size=window_size, + forecast_horizon=forecast_horizon, + batch_size=1, ) diff --git a/tests/safeds/data/tabular/containers/_table/test_dataframe.py b/tests/safeds/data/tabular/containers/_table/test_dataframe.py index 246405f64..8d55e5505 100644 --- a/tests/safeds/data/tabular/containers/_table/test_dataframe.py +++ b/tests/safeds/data/tabular/containers/_table/test_dataframe.py @@ -20,12 +20,3 @@ def test_should_restore_table_from_exchange_object(table: Table) -> None: assert restored.schema == table.schema assert restored == table - - -def test_should_raise_error_if_allow_copy_is_false() -> None: - table = Table() - with pytest.raises( - NotImplementedError, - match=r"For the moment we need to copy the data, so `allow_copy` must be True.", - ): - table.__dataframe__(allow_copy=False) diff --git a/tests/safeds/data/tabular/containers/_table/test_from_columns.py b/tests/safeds/data/tabular/containers/_table/test_from_columns.py index b0a6feec9..85553cd2b 100644 --- a/tests/safeds/data/tabular/containers/_table/test_from_columns.py +++ b/tests/safeds/data/tabular/containers/_table/test_from_columns.py @@ -6,35 +6,34 @@ @pytest.mark.parametrize( ("columns", "expected"), [ + ([], Table()), ( [ - Column("A", [1, 4]), - Column("B", [2, 5]), + Column("A", [1, 2]), + Column("B", [3, 4]), ], Table( { - "A": [1, 4], - "B": [2, 5], + "A": [1, 2], + "B": [3, 4], }, ), ), - ([], Table()), ], - ids=["2 Columns", "empty"], + ids=[ + "empty", + "non-empty", + ], ) def test_should_create_table_from_list_of_columns(columns: list[Column], expected: Table) -> None: - assert Table.from_columns(columns).schema == expected.schema assert Table.from_columns(columns) == expected -def test_should_raise_error_if_column_length_mismatch() -> None: - with pytest.raises( - ColumnLengthMismatchError, - match=r"The length of at least one column differs: \ncol1: 3\ncol2: 4", - ): - Table.from_columns([Column("col1", [5, 2, 3]), Column("col2", [5, 3, 4, 1])]) +def test_should_raise_error_if_column_lengths_mismatch() -> None: + with pytest.raises(ColumnLengthMismatchError): + Table.from_columns([Column("col1", []), Column("col2", [1])]) def test_should_raise_error_if_duplicate_column_name() -> None: - with pytest.raises(DuplicateColumnNameError, match=r"Column 'col1' already exists."): - Table.from_columns([Column("col1", [5, 2, 3]), Column("col1", [5, 3, 4])]) + with pytest.raises(DuplicateColumnNameError): + Table.from_columns([Column("col1", []), Column("col1", [])]) diff --git a/tests/safeds/data/tabular/containers/_table/test_from_csv_file.py b/tests/safeds/data/tabular/containers/_table/test_from_csv_file.py index cc9871d23..55521a221 100644 --- a/tests/safeds/data/tabular/containers/_table/test_from_csv_file.py +++ b/tests/safeds/data/tabular/containers/_table/test_from_csv_file.py @@ -2,7 +2,7 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import WrongFileExtensionError +from safeds.exceptions import FileExtensionError from tests.helpers import resolve_resource_path @@ -56,5 +56,5 @@ def test_should_raise_error_if_file_not_found(path: str | Path, expected_error_m ids=["by String", "by path"], ) def test_should_raise_error_if_wrong_file_extension(path: str | Path, expected_error_message: str) -> None: - with pytest.raises(WrongFileExtensionError, match=expected_error_message): + with pytest.raises(FileExtensionError, match=expected_error_message): Table.from_csv_file(resolve_resource_path(path)) diff --git a/tests/safeds/data/tabular/containers/_table/test_from_json_file.py b/tests/safeds/data/tabular/containers/_table/test_from_json_file.py index 681ccf7af..b825287df 100644 --- a/tests/safeds/data/tabular/containers/_table/test_from_json_file.py +++ b/tests/safeds/data/tabular/containers/_table/test_from_json_file.py @@ -2,7 +2,7 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import WrongFileExtensionError +from safeds.exceptions import FileExtensionError from tests.helpers import resolve_resource_path @@ -56,5 +56,5 @@ def test_should_raise_error_if_file_not_found(path: str | Path, expected_error_m ids=["by String", "by path"], ) def test_should_raise_error_if_wrong_file_extension(path: str | Path, expected_error_message: str) -> None: - with pytest.raises(WrongFileExtensionError, match=expected_error_message): + with pytest.raises(FileExtensionError, match=expected_error_message): Table.from_json_file(resolve_resource_path(path)) diff --git a/tests/safeds/data/tabular/containers/_table/test_get_column.py b/tests/safeds/data/tabular/containers/_table/test_get_column.py index ab160bc40..ed4c11bca 100644 --- a/tests/safeds/data/tabular/containers/_table/test_get_column.py +++ b/tests/safeds/data/tabular/containers/_table/test_get_column.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Column, Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError @pytest.mark.parametrize( @@ -23,5 +23,5 @@ def test_should_get_column(table1: Table, expected: Column) -> None: ids=["no col3", "empty"], ) def test_should_raise_error_if_column_name_unknown(table: Table) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col3'"): + with pytest.raises(ColumnNotFoundError): table.get_column("col3") diff --git a/tests/safeds/data/tabular/containers/_table/test_get_similar_columns.py b/tests/safeds/data/tabular/containers/_table/test_get_similar_columns.py index 8fcba8b72..e6d1e9e15 100644 --- a/tests/safeds/data/tabular/containers/_table/test_get_similar_columns.py +++ b/tests/safeds/data/tabular/containers/_table/test_get_similar_columns.py @@ -1,6 +1,6 @@ import pytest +from safeds._validation._check_columns_exist import _get_similar_column_names from safeds.data.tabular.containers import Table -from safeds.exceptions._data import UnknownColumnNameError @pytest.mark.parametrize( @@ -35,12 +35,4 @@ ids=["one similar", "two similar/ dynamic increase", "no similar", "exact match", "empty table"], ) def test_should_get_similar_column_names(table: Table, column_name: str, expected: list[str]) -> None: - assert table._get_similar_columns(column_name) == expected - - -def test_should_raise_error_if_column_name_unknown() -> None: - with pytest.raises( - UnknownColumnNameError, - match=r"Could not find column\(s\) 'col3'.\nDid you mean '\['col1', 'col2'\]'?", - ): - raise UnknownColumnNameError(["col3"], ["col1", "col2"]) + assert _get_similar_column_names(table.schema, column_name) == expected # TODO: move to validation tests diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py b/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py index e781d91dd..f1b687aff 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_lineplot.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError from syrupy import SnapshotAssertion @@ -21,20 +21,20 @@ def test_should_match_snapshot(snapshot_png_image: SnapshotAssertion) -> None: ) def test_should_raise_if_column_does_not_exist(table: Table, x: str, y: str) -> None: table = Table({"A": [1, 2, 3], "B": [2, 4, 7]}) - with pytest.raises(UnknownColumnNameError): + with pytest.raises(ColumnNotFoundError): table.plot.line_plot(x, y) @pytest.mark.parametrize( - ("x", "y", "error_message"), + ("x", "y"), [ - ("C", "A", r"Could not find column\(s\) 'C'"), - ("A", "C", r"Could not find column\(s\) 'C'"), - ("C", "D", r"Could not find column\(s\) 'C, D'"), + ("C", "A"), + ("A", "C"), + ("C", "D"), ], ids=["x column", "y column", "x and y column"], ) -def test_should_raise_if_column_does_not_exist_error_message(x: str, y: str, error_message: str) -> None: +def test_should_raise_if_column_does_not_exist_error_message(x: str, y: str) -> None: table = Table({"A": [1, 2, 3], "B": [2, 4, 7]}) - with pytest.raises(UnknownColumnNameError, match=error_message): + with pytest.raises(ColumnNotFoundError): table.plot.line_plot(x, y) diff --git a/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py b/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py index d3b544c5d..457f0b368 100644 --- a/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py +++ b/tests/safeds/data/tabular/containers/_table/test_plot_scatterplot.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError from syrupy import SnapshotAssertion @@ -11,15 +11,15 @@ def test_should_match_snapshot(snapshot_png_image: SnapshotAssertion) -> None: @pytest.mark.parametrize( - ("table", "col1", "col2", "error_message"), + ("table", "col1", "col2"), [ - (Table({"A": [1, 2, 3], "B": [2, 4, 7]}), "C", "A", r"Could not find column\(s\) 'C'"), - (Table({"A": [1, 2, 3], "B": [2, 4, 7]}), "B", "C", r"Could not find column\(s\) 'C'"), - (Table({"A": [1, 2, 3], "B": [2, 4, 7]}), "C", "D", r"Could not find column\(s\) 'C, D'"), - (Table(), "C", "D", r"Could not find column\(s\) 'C, D'"), + (Table({"A": [1, 2, 3], "B": [2, 4, 7]}), "C", "A"), + (Table({"A": [1, 2, 3], "B": [2, 4, 7]}), "B", "C"), + (Table({"A": [1, 2, 3], "B": [2, 4, 7]}), "C", "D"), + (Table(), "C", "D"), ], ids=["First argument doesn't exist", "Second argument doesn't exist", "Both arguments do not exist", "empty"], ) -def test_should_raise_if_column_does_not_exist(table: Table, col1: str, col2: str, error_message: str) -> None: - with pytest.raises(UnknownColumnNameError, match=error_message): +def test_should_raise_if_column_does_not_exist(table: Table, col1: str, col2: str) -> None: + with pytest.raises(ColumnNotFoundError): table.plot.scatter_plot(col1, col2) diff --git a/tests/safeds/data/tabular/containers/_table/test_remove_columns.py b/tests/safeds/data/tabular/containers/_table/test_remove_columns.py index ec29837a9..799aac93a 100644 --- a/tests/safeds/data/tabular/containers/_table/test_remove_columns.py +++ b/tests/safeds/data/tabular/containers/_table/test_remove_columns.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError @pytest.mark.parametrize( @@ -22,5 +22,5 @@ def test_should_remove_table_columns(table: Table, expected: Table, columns: lis @pytest.mark.parametrize("table", [Table({"A": [1], "B": [2]}), Table()], ids=["normal", "empty"]) def test_should_raise_if_column_not_found(table: Table) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'C'"): + with pytest.raises(ColumnNotFoundError): table.remove_columns(["C"]) diff --git a/tests/safeds/data/tabular/containers/_table/test_remove_columns_except.py b/tests/safeds/data/tabular/containers/_table/test_remove_columns_except.py index 58bb5dc95..8d766061b 100644 --- a/tests/safeds/data/tabular/containers/_table/test_remove_columns_except.py +++ b/tests/safeds/data/tabular/containers/_table/test_remove_columns_except.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError @pytest.mark.parametrize( @@ -50,5 +50,5 @@ def test_should_remove_all_except_listed_columns(table: Table, column_names: lis @pytest.mark.parametrize("table", [Table({"A": [1], "B": [2]}), Table()], ids=["table", "empty"]) def test_should_raise_error_if_column_name_unknown(table: Table) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'C'"): + with pytest.raises(ColumnNotFoundError): table.remove_columns_except(["C"]) diff --git a/tests/safeds/data/tabular/containers/_table/test_rename_column.py b/tests/safeds/data/tabular/containers/_table/test_rename_column.py index 0ee0fe152..0434e7064 100644 --- a/tests/safeds/data/tabular/containers/_table/test_rename_column.py +++ b/tests/safeds/data/tabular/containers/_table/test_rename_column.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import DuplicateColumnNameError, UnknownColumnNameError +from safeds.exceptions import DuplicateColumnNameError, ColumnNotFoundError @pytest.mark.parametrize( @@ -17,7 +17,7 @@ def test_should_rename_column(name_from: str, name_to: str, column_one: str, col @pytest.mark.parametrize("table", [Table({"A": [1], "B": [2]}), Table()], ids=["normal", "empty"]) def test_should_raise_if_old_column_does_not_exist(table: Table) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'C'"): + with pytest.raises(ColumnNotFoundError): table.rename_column("C", "D") diff --git a/tests/safeds/data/tabular/containers/_table/test_replace_column.py b/tests/safeds/data/tabular/containers/_table/test_replace_column.py index 411386a73..7eb198073 100644 --- a/tests/safeds/data/tabular/containers/_table/test_replace_column.py +++ b/tests/safeds/data/tabular/containers/_table/test_replace_column.py @@ -3,7 +3,7 @@ from safeds.exceptions import ( ColumnSizeError, DuplicateColumnNameError, - UnknownColumnNameError, + ColumnNotFoundError, ) @@ -76,7 +76,7 @@ def test_should_replace_column(table: Table, column_name: str, columns: list[Col @pytest.mark.parametrize( ("old_column_name", "column", "error", "error_message"), [ - ("D", [Column("C", ["d", "e", "f"])], UnknownColumnNameError, r"Could not find column\(s\) 'D'"), + ("D", [Column("C", ["d", "e", "f"])], ColumnNotFoundError, r"Could not find column\(s\) 'D'"), ( "C", [Column("B", ["d", "e", "f"]), Column("D", [3, 2, 1])], @@ -111,5 +111,5 @@ def test_should_raise_error( def test_should_fail_on_empty_table() -> None: - with pytest.raises(UnknownColumnNameError): + with pytest.raises(ColumnNotFoundError): Table().replace_column("col", [Column("a", [1, 2])]) diff --git a/tests/safeds/data/tabular/containers/_table/test_repr.py b/tests/safeds/data/tabular/containers/_table/test_repr.py index fee0c1d84..c1577acbc 100644 --- a/tests/safeds/data/tabular/containers/_table/test_repr.py +++ b/tests/safeds/data/tabular/containers/_table/test_repr.py @@ -5,15 +5,43 @@ @pytest.mark.parametrize( ("table", "expected"), [ - (Table(), "Empty DataFrame\nColumns: []\nIndex: []"), - (Table({"col1": [0]}), " col1\n0 0"), - (Table({"col1": [0, "1"], "col2": ["a", "b"]}), " col1 col2\n0 0 a\n1 1 b"), - ], - ids=[ - "empty table", - "table with one row", - "table with multiple rows", + ( + Table({"col1": [1, 2, 1], "col2": [1, 2, 4]}), + "+------+------+\n" + "| col1 | col2 |\n" + "| --- | --- |\n" + "| i64 | i64 |\n" + "+=============+\n" + "| 1 | 1 |\n" + "| 2 | 2 |\n" + "| 1 | 4 |\n" + "+------+------+", + ), + ( + Table({"col1": [], "col2": []}), + "+------+------+\n" + "| col1 | col2 |\n" + "| --- | --- |\n" + "| null | null |\n" + "+=============+\n" + "+------+------+", + ), + ( + Table(), + "++\n++\n++", + ), + ( + Table({"col1": [1], "col2": [1]}), + "+------+------+\n" + "| col1 | col2 |\n" + "| --- | --- |\n" + "| i64 | i64 |\n" + "+=============+\n" + "| 1 | 1 |\n" + "+------+------+", + ), ], + ids=["multiple rows", "rowless table", "empty table", "one row"], ) def test_should_return_a_string_representation(table: Table, expected: str) -> None: assert repr(table) == expected diff --git a/tests/safeds/data/tabular/containers/_table/test_shuffle_rows.py b/tests/safeds/data/tabular/containers/_table/test_shuffle_rows.py index 9f6b112e3..d7ddf6d2b 100644 --- a/tests/safeds/data/tabular/containers/_table/test_shuffle_rows.py +++ b/tests/safeds/data/tabular/containers/_table/test_shuffle_rows.py @@ -3,15 +3,17 @@ @pytest.mark.parametrize( - "table", + ("table", "expected"), [ - Table(), - Table({"col1": [1, 3, 5], "col2": [2, 4, 6]}), - Table({"col1": [1], "col2": [2]}), + (Table(), Table()), + (Table({"col1": [1, 2, 3]}), Table({"col1": [3, 2, 1]})), + (Table({"col1": [1, 2, 3], "col2": [4, 5, 6]}), Table({"col1": [3, 2, 1], "col2": [6, 5, 4]})), + ], + ids=[ + "empty", + "one column", + "multiple columns", ], - ids=["Empty table", "Table with multiple rows", "Table with one row"], ) -def test_should_shuffle_rows(table: Table) -> None: - result_table = table.shuffle_rows() - assert table.schema == result_table.schema - assert table.sort_rows_by_column("col1") == result_table.sort_rows_by_column("col1") +def test_should_shuffle_rows(table: Table, expected: Table) -> None: + assert table.shuffle_rows() == expected diff --git a/tests/safeds/data/tabular/containers/_table/test_str.py b/tests/safeds/data/tabular/containers/_table/test_str.py index 34f5a05ab..37cfa8a0f 100644 --- a/tests/safeds/data/tabular/containers/_table/test_str.py +++ b/tests/safeds/data/tabular/containers/_table/test_str.py @@ -7,11 +7,39 @@ [ ( Table({"col1": [1, 2, 1], "col2": [1, 2, 4]}), - " col1 col2\n0 1 1\n1 2 2\n2 1 4", + "+------+------+\n" + "| col1 | col2 |\n" + "| --- | --- |\n" + "| i64 | i64 |\n" + "+=============+\n" + "| 1 | 1 |\n" + "| 2 | 2 |\n" + "| 1 | 4 |\n" + "+------+------+", + ), + ( + Table({"col1": [], "col2": []}), + "+------+------+\n" + "| col1 | col2 |\n" + "| --- | --- |\n" + "| null | null |\n" + "+=============+\n" + "+------+------+", + ), + ( + Table(), + "++\n++\n++", + ), + ( + Table({"col1": [1], "col2": [1]}), + "+------+------+\n" + "| col1 | col2 |\n" + "| --- | --- |\n" + "| i64 | i64 |\n" + "+=============+\n" + "| 1 | 1 |\n" + "+------+------+", ), - (Table({"col1": [], "col2": []}), "Empty DataFrame\nColumns: [col1, col2]\nIndex: []"), - (Table(), "Empty DataFrame\nColumns: []\nIndex: []"), - (Table({"col1": [1], "col2": [1]}), " col1 col2\n0 1 1"), ], ids=["multiple rows", "rowless table", "empty table", "one row"], ) diff --git a/tests/safeds/data/tabular/containers/_table/test_to_csv_file.py b/tests/safeds/data/tabular/containers/_table/test_to_csv_file.py index 86e1e76da..a950742c1 100644 --- a/tests/safeds/data/tabular/containers/_table/test_to_csv_file.py +++ b/tests/safeds/data/tabular/containers/_table/test_to_csv_file.py @@ -3,7 +3,7 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import WrongFileExtensionError +from safeds.exceptions import FileExtensionError from tests.helpers import resolve_resource_path @@ -51,7 +51,7 @@ def test_should_raise_error_if_wrong_file_extension() -> None: with NamedTemporaryFile(suffix=".invalid_file_extension") as tmp_table_file: tmp_table_file.close() with Path(tmp_table_file.name).open("w", encoding="utf-8") as tmp_file, pytest.raises( - WrongFileExtensionError, + FileExtensionError, match=( r".invalid_file_extension has a wrong file extension. Please provide a file with the following" r" extension\(s\): .csv" diff --git a/tests/safeds/data/tabular/containers/_table/test_to_json_file.py b/tests/safeds/data/tabular/containers/_table/test_to_json_file.py index c9e786bbe..e8714b989 100644 --- a/tests/safeds/data/tabular/containers/_table/test_to_json_file.py +++ b/tests/safeds/data/tabular/containers/_table/test_to_json_file.py @@ -3,7 +3,7 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import WrongFileExtensionError +from safeds.exceptions import FileExtensionError @pytest.mark.parametrize( @@ -48,11 +48,5 @@ def test_should_raise_error_if_wrong_file_extension() -> None: table = Table({"col1": ["col1_1"], "col2": ["col2_1"]}) with NamedTemporaryFile(suffix=".invalid_file_extension") as tmp_table_file: tmp_table_file.close() - with Path(tmp_table_file.name).open("w", encoding="utf-8") as tmp_file, pytest.raises( - WrongFileExtensionError, - match=( - r".invalid_file_extension has a wrong file extension. Please provide a file with the following" - r" extension\(s\): .json" - ), - ): + with Path(tmp_table_file.name).open("w", encoding="utf-8") as tmp_file, pytest.raises(FileExtensionError): table.to_json_file(Path(tmp_file.name)) diff --git a/tests/safeds/data/tabular/containers/_table/test_transform_column.py b/tests/safeds/data/tabular/containers/_table/test_transform_column.py index f47235d9a..fa9c3dadb 100644 --- a/tests/safeds/data/tabular/containers/_table/test_transform_column.py +++ b/tests/safeds/data/tabular/containers/_table/test_transform_column.py @@ -1,6 +1,6 @@ import pytest from safeds.data.tabular.containers import Table -from safeds.exceptions import UnknownColumnNameError +from safeds.exceptions import ColumnNotFoundError @pytest.mark.parametrize( @@ -35,5 +35,5 @@ def test_should_transform_column(table: Table, table_transformed: Table) -> None ids=["column not found", "empty"], ) def test_should_raise_if_column_not_found(table: Table) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'D'"): + with pytest.raises(ColumnNotFoundError): table.transform_column("D", lambda cell: cell * 2) diff --git a/tests/safeds/data/tabular/containers/_table/test_transform_table.py b/tests/safeds/data/tabular/containers/_table/test_transform_table.py index eccae6b0f..5335c9f3a 100644 --- a/tests/safeds/data/tabular/containers/_table/test_transform_table.py +++ b/tests/safeds/data/tabular/containers/_table/test_transform_table.py @@ -1,7 +1,7 @@ import pytest from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import OneHotEncoder -from safeds.exceptions import TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import TransformerNotFittedError, ColumnNotFoundError @pytest.mark.parametrize( @@ -111,7 +111,7 @@ def test_should_raise_if_column_not_found(table_to_fit: Table) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1'"): + with pytest.raises(ColumnNotFoundError): table_to_transform.transform_table(transformer) diff --git a/tests/safeds/data/tabular/transformation/test_discretizer.py b/tests/safeds/data/tabular/transformation/test_discretizer.py index bb402fbdc..f02967876 100644 --- a/tests/safeds/data/tabular/transformation/test_discretizer.py +++ b/tests/safeds/data/tabular/transformation/test_discretizer.py @@ -1,12 +1,12 @@ import pytest from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import Discretizer -from safeds.exceptions import NonNumericColumnError, OutOfBoundsError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, OutOfBoundsError, TransformerNotFittedError, ColumnNotFoundError class TestInit: def test_should_raise_value_error(self) -> None: - with pytest.raises(OutOfBoundsError, match=r"number_of_bins \(=1\) is not inside \[2, \u221e\)\."): + with pytest.raises(OutOfBoundsError): _ = Discretizer(1) @@ -21,8 +21,8 @@ class TestFit: }, ), ["col2"], - UnknownColumnNameError, - r"Could not find column\(s\) 'col2'", + ColumnNotFoundError, + None, ), ( Table( @@ -33,8 +33,8 @@ class TestFit: }, ), ["col4", "col5"], - UnknownColumnNameError, - r"Could not find column\(s\) 'col4, col5'", + ColumnNotFoundError, + None, ), (Table(), ["col2"], ValueError, "The Discretizer cannot be fitted because the table contains 0 rows"), ( @@ -56,7 +56,7 @@ def test_should_raise_errors( table: Table, columns: list[str], error: type[Exception], - error_message: str, + error_message: str | None, ) -> None: with pytest.raises(error, match=error_message): Discretizer().fit(table, columns) @@ -86,8 +86,8 @@ class TestTransform: }, ), ["col1"], - UnknownColumnNameError, - r"Could not find column\(s\) 'col1'", + ColumnNotFoundError, + None, ), ( Table( @@ -96,8 +96,8 @@ class TestTransform: }, ), ["col3", "col1"], - UnknownColumnNameError, - r"Could not find column\(s\) 'col3, col1'", + ColumnNotFoundError, + None, ), (Table(), ["col1", "col3"], ValueError, "The table cannot be transformed because it contains 0 rows"), ( @@ -118,7 +118,7 @@ def test_should_raise_errors( table_to_transform: Table, columns: list[str], error: type[Exception], - error_message: str, + error_message: str | None, ) -> None: table_to_fit = Table( { diff --git a/tests/safeds/data/tabular/transformation/test_label_encoder.py b/tests/safeds/data/tabular/transformation/test_label_encoder.py index a6a55c04b..787c73b10 100644 --- a/tests/safeds/data/tabular/transformation/test_label_encoder.py +++ b/tests/safeds/data/tabular/transformation/test_label_encoder.py @@ -1,7 +1,7 @@ import pytest from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import LabelEncoder -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, ColumnNotFoundError class TestFit: @@ -12,7 +12,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col2, col3'"): + with pytest.raises(ColumnNotFoundError): LabelEncoder().fit(table, ["col2", "col3"]) def test_should_raise_if_table_contains_no_rows(self) -> None: @@ -60,7 +60,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError, match=r"Could not find column\(s\) 'col1, col2'"): transformer.transform(table_to_transform) def test_should_raise_if_not_fitted(self) -> None: @@ -247,7 +247,7 @@ def test_should_raise_if_not_fitted(self) -> None: transformer.inverse_transform(table) def test_should_raise_if_column_not_found(self) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError): LabelEncoder().fit( Table({"col1": ["one", "two"], "col2": ["three", "four"]}), ["col1", "col2"], diff --git a/tests/safeds/data/tabular/transformation/test_one_hot_encoder.py b/tests/safeds/data/tabular/transformation/test_one_hot_encoder.py index d8fc4e8fa..0eec11bee 100644 --- a/tests/safeds/data/tabular/transformation/test_one_hot_encoder.py +++ b/tests/safeds/data/tabular/transformation/test_one_hot_encoder.py @@ -6,7 +6,7 @@ from safeds.exceptions import ( NonNumericColumnError, TransformerNotFittedError, - UnknownColumnNameError, + ColumnNotFoundError, ValueNotPresentWhenFittedError, ) @@ -40,7 +40,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col2, col3'"): + with pytest.raises(ColumnNotFoundError): OneHotEncoder().fit(table, ["col2", "col3"]) def test_should_raise_if_table_contains_no_rows(self) -> None: @@ -99,7 +99,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError): transformer.transform(table_to_transform) def test_should_raise_if_not_fitted(self) -> None: @@ -468,7 +468,7 @@ def test_should_raise_if_not_fitted(self) -> None: transformer.inverse_transform(table) def test_should_raise_if_column_not_found(self) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1__one, col1__two'"): + with pytest.raises(ColumnNotFoundError): OneHotEncoder().fit(Table({"col1": ["one", "two"]}), ["col1"]).inverse_transform( Table({"col1": [1.0, 0.0]}), ) diff --git a/tests/safeds/data/tabular/transformation/test_range_scaler.py b/tests/safeds/data/tabular/transformation/test_range_scaler.py index 220b9e253..1229e12b3 100644 --- a/tests/safeds/data/tabular/transformation/test_range_scaler.py +++ b/tests/safeds/data/tabular/transformation/test_range_scaler.py @@ -1,7 +1,7 @@ import pytest from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import RangeScaler -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, ColumnNotFoundError class TestInit: @@ -18,7 +18,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col2, col3'"): + with pytest.raises(ColumnNotFoundError): RangeScaler().fit(table, ["col2", "col3"]) def test_should_raise_if_table_contains_non_numerical_data(self) -> None: @@ -63,7 +63,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError): transformer.transform(table_to_transform) def test_should_raise_if_not_fitted(self) -> None: @@ -305,7 +305,7 @@ def test_should_raise_if_not_fitted(self) -> None: transformer.inverse_transform(table) def test_should_raise_if_column_not_found(self) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError): RangeScaler().fit(Table({"col1": [1, 2, 3], "col2": [2, 3, 4]}), ["col1", "col2"]).inverse_transform( Table({"col3": [1, 2, 3]}), ) diff --git a/tests/safeds/data/tabular/transformation/test_simple_imputer.py b/tests/safeds/data/tabular/transformation/test_simple_imputer.py index ee84ae1a9..03c0b7e23 100644 --- a/tests/safeds/data/tabular/transformation/test_simple_imputer.py +++ b/tests/safeds/data/tabular/transformation/test_simple_imputer.py @@ -5,7 +5,7 @@ from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import SimpleImputer from safeds.data.tabular.transformation._simple_imputer import _Mode -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, ColumnNotFoundError def strategies() -> list[SimpleImputer.Strategy]: @@ -134,7 +134,9 @@ class TestStr: ], ids=lambda x: x.__class__.__name__, ) - def test_should_return_correct_string_representation(self, strategy: SimpleImputer.Strategy, expected: str) -> None: + def test_should_return_correct_string_representation( + self, strategy: SimpleImputer.Strategy, expected: str + ) -> None: assert str(strategy) == expected @@ -154,7 +156,10 @@ class TestValueToReplaceProperty: [0], ) def test_should_return_correct_value_to_replace(self, value_to_replace: float | str | None) -> None: - assert SimpleImputer(SimpleImputer.Strategy.Mode(), value_to_replace=value_to_replace).value_to_replace == value_to_replace + assert ( + SimpleImputer(SimpleImputer.Strategy.Mode(), value_to_replace=value_to_replace).value_to_replace + == value_to_replace + ) class TestFit: @@ -166,7 +171,7 @@ def test_should_raise_if_column_not_found(self, strategy: SimpleImputer.Strategy }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'b, c'"): + with pytest.raises(ColumnNotFoundError): SimpleImputer(strategy).fit(table, ["b", "c"]) @pytest.mark.parametrize("strategy", strategies(), ids=lambda x: x.__class__.__name__) @@ -259,7 +264,7 @@ def test_should_raise_if_column_not_found(self, strategy: SimpleImputer.Strategy }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'a, b'"): + with pytest.raises(ColumnNotFoundError): transformer.transform(table_to_transform) @pytest.mark.parametrize("strategy", strategies(), ids=lambda x: x.__class__.__name__) diff --git a/tests/safeds/data/tabular/transformation/test_standard_scaler.py b/tests/safeds/data/tabular/transformation/test_standard_scaler.py index 55138ccaf..7d745f46e 100644 --- a/tests/safeds/data/tabular/transformation/test_standard_scaler.py +++ b/tests/safeds/data/tabular/transformation/test_standard_scaler.py @@ -1,7 +1,7 @@ import pytest from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import StandardScaler -from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, UnknownColumnNameError +from safeds.exceptions import NonNumericColumnError, TransformerNotFittedError, ColumnNotFoundError from tests.helpers import assert_that_tables_are_close @@ -14,7 +14,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col2, col3'"): + with pytest.raises(ColumnNotFoundError): StandardScaler().fit(table, ["col2", "col3"]) def test_should_raise_if_table_contains_non_numerical_data(self) -> None: @@ -62,7 +62,7 @@ def test_should_raise_if_column_not_found(self) -> None: }, ) - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError): transformer.transform(table_to_transform) def test_should_raise_if_not_fitted(self) -> None: @@ -248,7 +248,7 @@ def test_should_raise_if_not_fitted(self) -> None: transformer.inverse_transform(table) def test_should_raise_if_column_not_found(self) -> None: - with pytest.raises(UnknownColumnNameError, match=r"Could not find column\(s\) 'col1, col2'"): + with pytest.raises(ColumnNotFoundError): StandardScaler().fit(Table({"col1": [1, 2, 4], "col2": [2, 3, 4]}), ["col1", "col2"]).inverse_transform( Table({"col3": [0, 1, 2]}), ) diff --git a/tests/safeds/exceptions/test_out_of_bounds_error.py b/tests/safeds/exceptions/test_out_of_bounds_error.py index f78006795..91a1b8a38 100644 --- a/tests/safeds/exceptions/test_out_of_bounds_error.py +++ b/tests/safeds/exceptions/test_out_of_bounds_error.py @@ -1,153 +1,154 @@ -import re - -import pytest -from numpy import isinf, isnan -from safeds.exceptions import Bound, ClosedBound, OpenBound, OutOfBoundsError - - -@pytest.mark.parametrize( - "actual", - [0, 1, -1, 2, -2], - ids=["0", "1", "-1", "2", "-2"], -) -@pytest.mark.parametrize("variable_name", ["test_variable"], ids=["test_variable"]) -@pytest.mark.parametrize( - ("lower_bound", "match_lower"), - [ - (ClosedBound(-1), "[-1"), - (OpenBound(-1), "(-1"), - (None, "(-\u221e"), - (OpenBound(float("-inf")), "(-\u221e"), - (OpenBound(float("inf")), "(\u221e"), - ], - ids=["lb_closed_-1", "lb_open_-1", "lb_none", "lb_neg_inf", "lb_inf"], -) -@pytest.mark.parametrize( - ("upper_bound", "match_upper"), - [ - (ClosedBound(1), "1]"), - (OpenBound(1), "1)"), - (None, "\u221e)"), - (OpenBound(float("-inf")), "-\u221e)"), - (OpenBound(float("inf")), "\u221e)"), - ], - ids=["ub_closed_-1", "ub_open_-1", "ub_none", "ub_neg_inf", "ub_inf"], -) -def test_should_raise_out_of_bounds_error( - actual: float, - variable_name: str | None, - lower_bound: Bound | None, - upper_bound: Bound | None, - match_lower: str, - match_upper: str, -) -> None: - # Check (-inf, inf) interval: - if lower_bound is None and upper_bound is None: - with pytest.raises( - ValueError, - match=r"Illegal interval: Attempting to raise OutOfBoundsError, but no bounds given\.", - ): - raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) - return - # Check if infinity was passed instead of None: - if (lower_bound is not None and isinf(lower_bound.value)) or (upper_bound is not None and isinf(upper_bound.value)): - with pytest.raises( - ValueError, - match="Illegal interval: Lower and upper bounds must be real numbers, or None if unbounded.", - ): - raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) - return - # All tests: Check interval where lower > upper: - if lower_bound is not None and upper_bound is not None: - with pytest.raises( - ValueError, - match=r"Illegal interval: Attempting to raise OutOfBoundsError, but given upper bound .+ is actually less " - r"than given lower bound .+\.", - ): - raise OutOfBoundsError(actual, lower_bound=upper_bound, upper_bound=lower_bound) - # Check case where actual value lies inside the interval: - if (lower_bound is None or lower_bound._check_lower_bound(actual)) and ( - upper_bound is None or upper_bound._check_upper_bound(actual) - ): - with pytest.raises( - ValueError, - match=rf"Illegal interval: Attempting to raise OutOfBoundsError, but value {actual} is not actually outside" - rf" given interval [\[(].+,.+[\])]\.", - ): - raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) - return - # Check that error is raised correctly: - with pytest.raises( - OutOfBoundsError, - match=rf"{actual} is not inside {re.escape(match_lower)}, {re.escape(match_upper)}.", - ): - raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) - with pytest.raises( - OutOfBoundsError, - match=rf"{variable_name} \(={actual}\) is not inside {re.escape(match_lower)}, {re.escape(match_upper)}.", - ): - raise OutOfBoundsError(actual, name=variable_name, lower_bound=lower_bound, upper_bound=upper_bound) - - -@pytest.mark.parametrize( - ("value", "expected_value", "bound", "lower_bound"), - [ - (2, True, ClosedBound(2), False), - (2, True, ClosedBound(2), True), - (2, True, ClosedBound(3), False), - (2, True, ClosedBound(1), True), - (2, False, OpenBound(2), False), - (2, False, OpenBound(2), True), - (2, False, OpenBound(1), False), - (2, False, OpenBound(3), True), - (2, False, OpenBound(float("inf")), True), - (2, True, OpenBound(float("inf")), False), - (2, True, OpenBound(float("-inf")), True), - (2, False, OpenBound(float("-inf")), False), - ], - ids=[ - "ex_false-close_2-upper", - "ex_false-close_2-lower", - "ex_true-close_3-upper", - "ex_true-close_1-lower", - "ex_true-open_2-upper", - "ex_true-open_2-lower", - "ex_false-open_1-upper", - "ex_false-open_3-lower", - "ex_false-inf-lower", - "ex_true-inf-upper", - "ex_true--inf-lower", - "ex_false--inf-upper", - ], -) -def test_should_return_true_if_value_in_bounds( - value: float, - expected_value: bool, - bound: Bound, - lower_bound: bool, -) -> None: - if lower_bound: - assert expected_value == bound._check_lower_bound(value) - else: - assert expected_value == bound._check_upper_bound(value) - - -@pytest.mark.parametrize("value", [float("nan"), float("-inf"), float("inf")], ids=["nan", "neg_inf", "inf"]) -def test_should_raise_value_error(value: float) -> None: - if isnan(value): - with pytest.raises(ValueError, match="Bound must be a real number, not nan."): - ClosedBound(value) - with pytest.raises(ValueError, match="Bound must be a real number, not nan."): - OpenBound(value) - else: - with pytest.raises(ValueError, match=r"ClosedBound must be a real number, not \+\/\-inf\."): - ClosedBound(value) - - -@pytest.mark.parametrize("actual", [float("nan"), float("-inf"), float("inf")], ids=["nan", "neg_inf", "inf"]) -def test_should_raise_value_error_because_invalid_actual(actual: float) -> None: - with pytest.raises( - ValueError, - match="Attempting to raise OutOfBoundsError with actual value not being a real number.", - ): - raise OutOfBoundsError(actual, lower_bound=ClosedBound(-1), upper_bound=ClosedBound(1)) +# TODO: test validation function _check_bounds +# import re +# +# import pytest +# from numpy import isinf, isnan +# from safeds.exceptions import _Bound, _ClosedBound, _OpenBound, OutOfBoundsError +# +# +# @pytest.mark.parametrize( +# "actual", +# [0, 1, -1, 2, -2], +# ids=["0", "1", "-1", "2", "-2"], +# ) +# @pytest.mark.parametrize("variable_name", ["test_variable"], ids=["test_variable"]) +# @pytest.mark.parametrize( +# ("lower_bound", "match_lower"), +# [ +# (_ClosedBound(-1), "[-1"), +# (_OpenBound(-1), "(-1"), +# (None, "(-\u221e"), +# (_OpenBound(float("-inf")), "(-\u221e"), +# (_OpenBound(float("inf")), "(\u221e"), +# ], +# ids=["lb_closed_-1", "lb_open_-1", "lb_none", "lb_neg_inf", "lb_inf"], +# ) +# @pytest.mark.parametrize( +# ("upper_bound", "match_upper"), +# [ +# (_ClosedBound(1), "1]"), +# (_OpenBound(1), "1)"), +# (None, "\u221e)"), +# (_OpenBound(float("-inf")), "-\u221e)"), +# (_OpenBound(float("inf")), "\u221e)"), +# ], +# ids=["ub_closed_-1", "ub_open_-1", "ub_none", "ub_neg_inf", "ub_inf"], +# ) +# def test_should_raise_out_of_bounds_error( +# actual: float, +# variable_name: str | None, +# lower_bound: _Bound | None, +# upper_bound: _Bound | None, +# match_lower: str, +# match_upper: str, +# ) -> None: +# # Check (-inf, inf) interval: +# if lower_bound is None and upper_bound is None: +# with pytest.raises( +# ValueError, +# match=r"Illegal interval: Attempting to raise OutOfBoundsError, but no bounds given\.", +# ): +# raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) +# return +# # Check if infinity was passed instead of None: +# if (lower_bound is not None and isinf(lower_bound.value)) or (upper_bound is not None and isinf(upper_bound.value)): +# with pytest.raises( +# ValueError, +# match="Illegal interval: Lower and upper bounds must be real numbers, or None if unbounded.", +# ): +# raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) +# return +# # All tests: Check interval where lower > upper: +# if lower_bound is not None and upper_bound is not None: +# with pytest.raises( +# ValueError, +# match=r"Illegal interval: Attempting to raise OutOfBoundsError, but given upper bound .+ is actually less " +# r"than given lower bound .+\.", +# ): +# raise OutOfBoundsError(actual, lower_bound=upper_bound, upper_bound=lower_bound) +# # Check case where actual value lies inside the interval: +# if (lower_bound is None or lower_bound._check_lower_bound(actual)) and ( +# upper_bound is None or upper_bound._check_upper_bound(actual) +# ): +# with pytest.raises( +# ValueError, +# match=rf"Illegal interval: Attempting to raise OutOfBoundsError, but value {actual} is not actually outside" +# rf" given interval [\[(].+,.+[\])]\.", +# ): +# raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) +# return +# # Check that error is raised correctly: +# with pytest.raises( +# OutOfBoundsError, +# match=rf"{actual} is not inside {re.escape(match_lower)}, {re.escape(match_upper)}.", +# ): +# raise OutOfBoundsError(actual, lower_bound=lower_bound, upper_bound=upper_bound) +# with pytest.raises( +# OutOfBoundsError, +# match=rf"{variable_name} \(={actual}\) is not inside {re.escape(match_lower)}, {re.escape(match_upper)}.", +# ): +# raise OutOfBoundsError(actual, name=variable_name, lower_bound=lower_bound, upper_bound=upper_bound) +# +# +# @pytest.mark.parametrize( +# ("value", "expected_value", "bound", "lower_bound"), +# [ +# (2, True, _ClosedBound(2), False), +# (2, True, _ClosedBound(2), True), +# (2, True, _ClosedBound(3), False), +# (2, True, _ClosedBound(1), True), +# (2, False, _OpenBound(2), False), +# (2, False, _OpenBound(2), True), +# (2, False, _OpenBound(1), False), +# (2, False, _OpenBound(3), True), +# (2, False, _OpenBound(float("inf")), True), +# (2, True, _OpenBound(float("inf")), False), +# (2, True, _OpenBound(float("-inf")), True), +# (2, False, _OpenBound(float("-inf")), False), +# ], +# ids=[ +# "ex_false-close_2-upper", +# "ex_false-close_2-lower", +# "ex_true-close_3-upper", +# "ex_true-close_1-lower", +# "ex_true-open_2-upper", +# "ex_true-open_2-lower", +# "ex_false-open_1-upper", +# "ex_false-open_3-lower", +# "ex_false-inf-lower", +# "ex_true-inf-upper", +# "ex_true--inf-lower", +# "ex_false--inf-upper", +# ], +# ) +# def test_should_return_true_if_value_in_bounds( +# value: float, +# expected_value: bool, +# bound: _Bound, +# lower_bound: bool, +# ) -> None: +# if lower_bound: +# assert expected_value == bound._check_lower_bound(value) +# else: +# assert expected_value == bound._check_upper_bound(value) +# +# +# @pytest.mark.parametrize("value", [float("nan"), float("-inf"), float("inf")], ids=["nan", "neg_inf", "inf"]) +# def test_should_raise_value_error(value: float) -> None: +# if isnan(value): +# with pytest.raises(ValueError, match="Bound must be a real number, not nan."): +# _ClosedBound(value) +# with pytest.raises(ValueError, match="Bound must be a real number, not nan."): +# _OpenBound(value) +# else: +# with pytest.raises(ValueError, match=r"ClosedBound must be a real number, not \+\/\-inf\."): +# _ClosedBound(value) +# +# +# @pytest.mark.parametrize("actual", [float("nan"), float("-inf"), float("inf")], ids=["nan", "neg_inf", "inf"]) +# def test_should_raise_value_error_because_invalid_actual(actual: float) -> None: +# with pytest.raises( +# ValueError, +# match="Attempting to raise OutOfBoundsError with actual value not being a real number.", +# ): +# raise OutOfBoundsError(actual, lower_bound=_ClosedBound(-1), upper_bound=_ClosedBound(1)) diff --git a/tests/safeds/exceptions/test_unknown_column_name_error.py b/tests/safeds/exceptions/test_unknown_column_name_error.py index c82dcb5c6..1e423a088 100644 --- a/tests/safeds/exceptions/test_unknown_column_name_error.py +++ b/tests/safeds/exceptions/test_unknown_column_name_error.py @@ -1,42 +1,43 @@ -import pytest -from safeds.exceptions import UnknownColumnNameError - - -@pytest.mark.parametrize( - ("column_names", "similar_columns", "expected_error_message"), - [ - (["column1"], [], r"Could not find column\(s\) 'column1'\."), - (["column1", "column2"], [], r"Could not find column\(s\) 'column1, column2'\."), - (["column1"], ["column_a"], r"Could not find column\(s\) 'column1'\.\nDid you mean '\['column_a'\]'\?"), - ( - ["column1", "column2"], - ["column_a"], - r"Could not find column\(s\) 'column1, column2'\.\nDid you mean '\['column_a'\]'\?", - ), - ( - ["column1"], - ["column_a", "column_b"], - r"Could not find column\(s\) 'column1'\.\nDid you mean '\['column_a', 'column_b'\]'\?", - ), - ( - ["column1", "column2"], - ["column_a", "column_b"], - r"Could not find column\(s\) 'column1, column2'\.\nDid you mean '\['column_a', 'column_b'\]'\?", - ), - ], - ids=[ - "one_unknown_no_suggestions", - "two_unknown_no_suggestions", - "one_unknown_one_suggestion", - "two_unknown_one_suggestion", - "one_unknown_two_suggestions", - "two_unknown_two_suggestions", - ], -) -def test_empty_similar_columns( - column_names: list[str], - similar_columns: list[str], - expected_error_message: str, -) -> None: - with pytest.raises(UnknownColumnNameError, match=expected_error_message): - raise UnknownColumnNameError(column_names, similar_columns) +# TODO: move to validation tests +# import pytest +# from safeds.exceptions import ColumnNotFoundError +# +# +# @pytest.mark.parametrize( +# ("column_names", "similar_columns", "expected_error_message"), +# [ +# (["column1"], [], r"Could not find column\(s\) 'column1'\."), +# (["column1", "column2"], [], r"Could not find column\(s\) 'column1, column2'\."), +# (["column1"], ["column_a"], r"Could not find column\(s\) 'column1'\.\nDid you mean '\['column_a'\]'\?"), +# ( +# ["column1", "column2"], +# ["column_a"], +# r"Could not find column\(s\) 'column1, column2'\.\nDid you mean '\['column_a'\]'\?", +# ), +# ( +# ["column1"], +# ["column_a", "column_b"], +# r"Could not find column\(s\) 'column1'\.\nDid you mean '\['column_a', 'column_b'\]'\?", +# ), +# ( +# ["column1", "column2"], +# ["column_a", "column_b"], +# r"Could not find column\(s\) 'column1, column2'\.\nDid you mean '\['column_a', 'column_b'\]'\?", +# ), +# ], +# ids=[ +# "one_unknown_no_suggestions", +# "two_unknown_no_suggestions", +# "one_unknown_one_suggestion", +# "two_unknown_one_suggestion", +# "one_unknown_two_suggestions", +# "two_unknown_two_suggestions", +# ], +# ) +# def test_empty_similar_columns( +# column_names: list[str], +# similar_columns: list[str], +# expected_error_message: str, +# ) -> None: +# with pytest.raises(ColumnNotFoundError, match=expected_error_message): +# raise ColumnNotFoundError(column_names, similar_columns) diff --git a/tests/safeds/ml/classical/classification/test_ada_boost.py b/tests/safeds/ml/classical/classification/test_ada_boost.py index d5f3a7d5b..1e83e430d 100644 --- a/tests/safeds/ml/classical/classification/test_ada_boost.py +++ b/tests/safeds/ml/classical/classification/test_ada_boost.py @@ -36,10 +36,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("maximum_number_of_learners", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, maximum_number_of_learners: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"maximum_number_of_learners \(={maximum_number_of_learners}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): AdaBoostClassifier(maximum_number_of_learners=maximum_number_of_learners) @@ -55,8 +52,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("learning_rate", [-1.0, 0.0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, learning_rate: float) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"learning_rate \(={learning_rate}\) is not inside \(0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): AdaBoostClassifier(learning_rate=learning_rate) diff --git a/tests/safeds/ml/classical/classification/test_decision_tree.py b/tests/safeds/ml/classical/classification/test_decision_tree.py index fef94a59b..a6cf873b4 100644 --- a/tests/safeds/ml/classical/classification/test_decision_tree.py +++ b/tests/safeds/ml/classical/classification/test_decision_tree.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("maximum_depth", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, maximum_depth: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"maximum_depth \(={maximum_depth}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): DecisionTreeClassifier(maximum_depth=maximum_depth) @@ -42,8 +39,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("minimum_number_of_samples_in_leaves", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, minimum_number_of_samples_in_leaves: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"minimum_number_of_samples_in_leaves \(={minimum_number_of_samples_in_leaves}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): DecisionTreeClassifier(minimum_number_of_samples_in_leaves=minimum_number_of_samples_in_leaves) diff --git a/tests/safeds/ml/classical/classification/test_gradient_boosting.py b/tests/safeds/ml/classical/classification/test_gradient_boosting.py index c6cae80d3..4f11293d9 100644 --- a/tests/safeds/ml/classical/classification/test_gradient_boosting.py +++ b/tests/safeds/ml/classical/classification/test_gradient_boosting.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("number_of_trees", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_1(self, number_of_trees: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"number_of_trees \(={number_of_trees}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): GradientBoostingClassifier(number_of_trees=number_of_trees) @@ -42,8 +39,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("learning_rate", [-1.0, 0.0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, learning_rate: float) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"learning_rate \(={learning_rate}\) is not inside \(0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): GradientBoostingClassifier(learning_rate=learning_rate) diff --git a/tests/safeds/ml/classical/classification/test_k_nearest_neighbors.py b/tests/safeds/ml/classical/classification/test_k_nearest_neighbors.py index ba00c4d12..8db2fe547 100644 --- a/tests/safeds/ml/classical/classification/test_k_nearest_neighbors.py +++ b/tests/safeds/ml/classical/classification/test_k_nearest_neighbors.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("number_of_neighbors", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, number_of_neighbors: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"number_of_neighbors \(={number_of_neighbors}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): KNearestNeighborsClassifier(number_of_neighbors=number_of_neighbors) def test_should_raise_if_greater_than_sample_size(self, training_set: TabularDataset) -> None: diff --git a/tests/safeds/ml/classical/classification/test_random_forest.py b/tests/safeds/ml/classical/classification/test_random_forest.py index 26aa2a250..7e171b893 100644 --- a/tests/safeds/ml/classical/classification/test_random_forest.py +++ b/tests/safeds/ml/classical/classification/test_random_forest.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("number_of_trees", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, number_of_trees: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"number_of_trees \(={number_of_trees}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): RandomForestClassifier(number_of_trees=number_of_trees) @@ -42,10 +39,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("maximum_depth", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, maximum_depth: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"maximum_depth \(={maximum_depth}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): RandomForestClassifier(maximum_depth=maximum_depth) @@ -61,8 +55,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("minimum_number_of_samples_in_leaves", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, minimum_number_of_samples_in_leaves: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"minimum_number_of_samples_in_leaves \(={minimum_number_of_samples_in_leaves}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): RandomForestClassifier(minimum_number_of_samples_in_leaves=minimum_number_of_samples_in_leaves) diff --git a/tests/safeds/ml/classical/classification/test_support_vector_machine.py b/tests/safeds/ml/classical/classification/test_support_vector_machine.py index 883e028da..a601d5cf8 100644 --- a/tests/safeds/ml/classical/classification/test_support_vector_machine.py +++ b/tests/safeds/ml/classical/classification/test_support_vector_machine.py @@ -46,7 +46,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("c", [-1.0, 0.0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, c: float) -> None: - with pytest.raises(OutOfBoundsError, match=rf"c \(={c}\) is not inside \(0, \u221e\)\."): + with pytest.raises(OutOfBoundsError): SupportVectorClassifier(c=c) @@ -72,7 +72,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("degree", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_degree_less_than_1(self, degree: int) -> None: - with pytest.raises(OutOfBoundsError, match=rf"degree \(={degree}\) is not inside \[1, \u221e\)\."): + with pytest.raises(OutOfBoundsError): SupportVectorClassifier.Kernel.polynomial(degree=degree) # def test_should_get_sklearn_arguments_polynomial(self) -> None: diff --git a/tests/safeds/ml/classical/regression/test_ada_boost.py b/tests/safeds/ml/classical/regression/test_ada_boost.py index f8fee7c07..5fa95f573 100644 --- a/tests/safeds/ml/classical/regression/test_ada_boost.py +++ b/tests/safeds/ml/classical/regression/test_ada_boost.py @@ -36,10 +36,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("maximum_number_of_learners", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, maximum_number_of_learners: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"maximum_number_of_learners \(={maximum_number_of_learners}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): AdaBoostRegressor(maximum_number_of_learners=maximum_number_of_learners) @@ -55,8 +52,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("learning_rate", [-1.0, 0.0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, learning_rate: float) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"learning_rate \(={learning_rate}\) is not inside \(0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): AdaBoostRegressor(learning_rate=learning_rate) diff --git a/tests/safeds/ml/classical/regression/test_decision_tree.py b/tests/safeds/ml/classical/regression/test_decision_tree.py index 7ace3082a..7cb25f44d 100644 --- a/tests/safeds/ml/classical/regression/test_decision_tree.py +++ b/tests/safeds/ml/classical/regression/test_decision_tree.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("maximum_depth", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, maximum_depth: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"maximum_depth \(={maximum_depth}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): DecisionTreeRegressor(maximum_depth=maximum_depth) @@ -42,8 +39,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("minimum_number_of_samples_in_leaves", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, minimum_number_of_samples_in_leaves: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"minimum_number_of_samples_in_leaves \(={minimum_number_of_samples_in_leaves}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): DecisionTreeRegressor(minimum_number_of_samples_in_leaves=minimum_number_of_samples_in_leaves) diff --git a/tests/safeds/ml/classical/regression/test_elastic_net_regression.py b/tests/safeds/ml/classical/regression/test_elastic_net_regression.py index e064e3bcc..1cb19d1cf 100644 --- a/tests/safeds/ml/classical/regression/test_elastic_net_regression.py +++ b/tests/safeds/ml/classical/regression/test_elastic_net_regression.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("alpha", [-0.5], ids=["minus_0_point_5"]) def test_should_raise_if_less_than_0(self, alpha: float) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"alpha \(={alpha}\) is not inside \[0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): ElasticNetRegressor(alpha=alpha) def test_should_warn_if_equal_to_0(self) -> None: @@ -52,10 +49,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("lasso_ratio", [-0.5, 1.5], ids=["minus_zero_point_5", "one_point_5"]) def test_should_raise_if_not_between_0_and_1(self, lasso_ratio: float) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"lasso_ratio \(={lasso_ratio}\) is not inside \[0, 1\]\.", - ): + with pytest.raises(OutOfBoundsError): ElasticNetRegressor(lasso_ratio=lasso_ratio) def test_should_warn_if_0(self) -> None: diff --git a/tests/safeds/ml/classical/regression/test_gradient_boosting.py b/tests/safeds/ml/classical/regression/test_gradient_boosting.py index 2283f32c3..b74e5e450 100644 --- a/tests/safeds/ml/classical/regression/test_gradient_boosting.py +++ b/tests/safeds/ml/classical/regression/test_gradient_boosting.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("number_of_trees", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_1(self, number_of_trees: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"number_of_trees \(={number_of_trees}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): GradientBoostingRegressor(number_of_trees=number_of_trees) @@ -42,8 +39,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("learning_rate", [-1.0, 0.0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, learning_rate: float) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"learning_rate \(={learning_rate}\) is not inside \(0, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): GradientBoostingRegressor(learning_rate=learning_rate) diff --git a/tests/safeds/ml/classical/regression/test_k_nearest_neighbors.py b/tests/safeds/ml/classical/regression/test_k_nearest_neighbors.py index 383e7a7db..2e30c25c4 100644 --- a/tests/safeds/ml/classical/regression/test_k_nearest_neighbors.py +++ b/tests/safeds/ml/classical/regression/test_k_nearest_neighbors.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("number_of_neighbors", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, number_of_neighbors: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"number_of_neighbors \(={number_of_neighbors}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): KNearestNeighborsRegressor(number_of_neighbors=number_of_neighbors) def test_should_raise_if_greater_than_sample_size(self, training_set: TabularDataset) -> None: diff --git a/tests/safeds/ml/classical/regression/test_lasso_regression.py b/tests/safeds/ml/classical/regression/test_lasso_regression.py index aa175f975..294b8b421 100644 --- a/tests/safeds/ml/classical/regression/test_lasso_regression.py +++ b/tests/safeds/ml/classical/regression/test_lasso_regression.py @@ -23,7 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("alpha", [-0.5], ids=["minus_zero_point_5"]) def test_should_raise_if_less_than_0(self, alpha: float) -> None: - with pytest.raises(OutOfBoundsError, match=rf"alpha \(={alpha}\) is not inside \[0, \u221e\)\."): + with pytest.raises(OutOfBoundsError): LassoRegressor(alpha=alpha) def test_should_warn_if_equal_to_0(self) -> None: diff --git a/tests/safeds/ml/classical/regression/test_random_forest.py b/tests/safeds/ml/classical/regression/test_random_forest.py index c1ef2cda6..0f2b2c624 100644 --- a/tests/safeds/ml/classical/regression/test_random_forest.py +++ b/tests/safeds/ml/classical/regression/test_random_forest.py @@ -23,10 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("number_of_trees", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, number_of_trees: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"number_of_trees \(={number_of_trees}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): RandomForestRegressor(number_of_trees=number_of_trees) @@ -42,10 +39,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("maximum_depth", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, maximum_depth: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"maximum_depth \(={maximum_depth}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): RandomForestRegressor(maximum_depth=maximum_depth) @@ -61,8 +55,5 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("minimum_number_of_samples_in_leaves", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, minimum_number_of_samples_in_leaves: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"minimum_number_of_samples_in_leaves \(={minimum_number_of_samples_in_leaves}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): RandomForestRegressor(minimum_number_of_samples_in_leaves=minimum_number_of_samples_in_leaves) diff --git a/tests/safeds/ml/classical/regression/test_ridge_regression.py b/tests/safeds/ml/classical/regression/test_ridge_regression.py index 87ea2b8e5..141c526bc 100644 --- a/tests/safeds/ml/classical/regression/test_ridge_regression.py +++ b/tests/safeds/ml/classical/regression/test_ridge_regression.py @@ -23,7 +23,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("alpha", [-0.5], ids=["minus_zero_point_5"]) def test_should_raise_if_less_than_0(self, alpha: float) -> None: - with pytest.raises(OutOfBoundsError, match=rf"alpha \(={alpha}\) is not inside \[0, \u221e\)\."): + with pytest.raises(OutOfBoundsError): RidgeRegressor(alpha=alpha) def test_should_warn_if_equal_to_0(self) -> None: diff --git a/tests/safeds/ml/classical/regression/test_support_vector_machine.py b/tests/safeds/ml/classical/regression/test_support_vector_machine.py index e2ec1be88..173e688b2 100644 --- a/tests/safeds/ml/classical/regression/test_support_vector_machine.py +++ b/tests/safeds/ml/classical/regression/test_support_vector_machine.py @@ -46,7 +46,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("c", [-1.0, 0.0], ids=["minus_one", "zero"]) def test_should_raise_if_less_than_or_equal_to_0(self, c: float) -> None: - with pytest.raises(OutOfBoundsError, match=rf"c \(={c}\) is not inside \(0, \u221e\)\."): + with pytest.raises(OutOfBoundsError): SupportVectorRegressor(c=c) @@ -72,7 +72,7 @@ def test_should_be_passed_to_sklearn(self, training_set: TabularDataset) -> None @pytest.mark.parametrize("degree", [-1, 0], ids=["minus_one", "zero"]) def test_should_raise_if_degree_less_than_1(self, degree: int) -> None: - with pytest.raises(OutOfBoundsError, match=rf"degree \(={degree}\) is not inside \[1, \u221e\)\."): + with pytest.raises(OutOfBoundsError): SupportVectorRegressor.Kernel.polynomial(degree=degree) # def test_should_get_sklearn_arguments_polynomial(self) -> None: diff --git a/tests/safeds/ml/nn/test_forward_layer.py b/tests/safeds/ml/nn/test_forward_layer.py index 28791c22c..54c055f38 100644 --- a/tests/safeds/ml/nn/test_forward_layer.py +++ b/tests/safeds/ml/nn/test_forward_layer.py @@ -16,10 +16,7 @@ ids=["input_size_out_of_bounds"], ) def test_should_raise_if_input_size_out_of_bounds(input_size: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"input_size \(={input_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): ForwardLayer(output_size=1, input_size=input_size) @@ -79,10 +76,7 @@ def test_should_raise_if_unknown_activation_function_is_passed(activation_functi ids=["output_size_out_of_bounds"], ) def test_should_raise_if_output_size_out_of_bounds(output_size: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"output_size \(={output_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): ForwardLayer(output_size=output_size, input_size=1) diff --git a/tests/safeds/ml/nn/test_forward_workflow.py b/tests/safeds/ml/nn/test_forward_workflow.py index 1256c94f5..5b20328cf 100644 --- a/tests/safeds/ml/nn/test_forward_workflow.py +++ b/tests/safeds/ml/nn/test_forward_workflow.py @@ -1,6 +1,4 @@ import pytest -from torch.types import Device - from safeds._config import _get_device from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import StandardScaler @@ -10,8 +8,9 @@ NeuralNetworkRegressor, OutputConversionTable, ) +from torch.types import Device -from tests.helpers import resolve_resource_path, get_devices, get_devices_ids, configure_test_with_device +from tests.helpers import configure_test_with_device, get_devices, get_devices_ids, resolve_resource_path @pytest.mark.parametrize("device", get_devices(), ids=get_devices_ids()) @@ -24,8 +23,12 @@ def test_forward_model(device: Device) -> None: path=resolve_resource_path(_inflation_path), ) table_1 = table_1.remove_columns(["date"]) - table_2 = Table.from_rows(table_1.to_rows()[:-14]) - table_2 = table_2.add_columns([Table.from_rows(table_1.to_rows()[14:]).get_column("value").rename("target")]) + table_2 = table_1.slice_rows(length=table_1.number_of_rows - 14) + table_2 = table_2.add_columns( + [ + table_1.slice_rows(start=14).get_column("value").rename("target"), + ] + ) train_table, test_table = table_2.split_rows(0.8) ss = StandardScaler() @@ -38,5 +41,5 @@ def test_forward_model(device: Device) -> None: ) fitted_model = model.fit(train_table.to_tabular_dataset("target"), epoch_size=1, learning_rate=0.01) - fitted_model.predict(test_table.keep_only_columns(["value"])) + fitted_model.predict(test_table.remove_columns_except(["value"])) assert model._model.state_dict()["_pytorch_layers.0._layer.weight"].device == _get_device() diff --git a/tests/safeds/ml/nn/test_lstm_layer.py b/tests/safeds/ml/nn/test_lstm_layer.py index e876da4e1..224a757a6 100644 --- a/tests/safeds/ml/nn/test_lstm_layer.py +++ b/tests/safeds/ml/nn/test_lstm_layer.py @@ -16,10 +16,7 @@ ids=["input_size_out_of_bounds"], ) def test_should_raise_if_input_size_out_of_bounds(input_size: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"input_size \(={input_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): LSTMLayer(output_size=1, input_size=input_size) @@ -80,10 +77,7 @@ def test_should_raise_if_unknown_activation_function_is_passed(activation_functi ids=["output_size_out_of_bounds"], ) def test_should_raise_if_output_size_out_of_bounds(output_size: int) -> None: - with pytest.raises( - OutOfBoundsError, - match=rf"output_size \(={output_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): LSTMLayer(output_size=output_size, input_size=1) diff --git a/tests/safeds/ml/nn/test_lstm_workflow.py b/tests/safeds/ml/nn/test_lstm_workflow.py index 256602360..daa7cc6b1 100644 --- a/tests/safeds/ml/nn/test_lstm_workflow.py +++ b/tests/safeds/ml/nn/test_lstm_workflow.py @@ -1,6 +1,4 @@ import pytest -from torch.types import Device - from safeds._config import _get_device from safeds.data.tabular.containers import Table from safeds.data.tabular.transformation import RangeScaler @@ -11,8 +9,9 @@ NeuralNetworkRegressor, OutputConversionTimeSeries, ) +from torch.types import Device -from tests.helpers import resolve_resource_path, get_devices, get_devices_ids, configure_test_with_device +from tests.helpers import configure_test_with_device, get_devices, get_devices_ids, resolve_resource_path @pytest.mark.parametrize("device", get_devices(), ids=get_devices_ids()) diff --git a/tests/safeds/ml/nn/test_model.py b/tests/safeds/ml/nn/test_model.py index 32fe4b733..10d8c0c2f 100644 --- a/tests/safeds/ml/nn/test_model.py +++ b/tests/safeds/ml/nn/test_model.py @@ -1,6 +1,4 @@ import pytest -from torch.types import Device - from safeds.data.image.typing import ImageSize from safeds.data.labeled.containers import TabularDataset from safeds.data.tabular.containers import Table @@ -31,7 +29,9 @@ OutputConversionTable, ) from safeds.ml.nn._output_conversion_image import OutputConversionImageToColumn -from tests.helpers import get_devices, get_devices_ids, configure_test_with_device +from torch.types import Device + +from tests.helpers import configure_test_with_device, get_devices, get_devices_ids @pytest.mark.parametrize("device", get_devices(), ids=get_devices_ids()) @@ -45,10 +45,7 @@ class TestClassificationModel: ) def test_should_raise_if_epoch_size_out_of_bounds(self, epoch_size: int, device: Device) -> None: configure_test_with_device(device) - with pytest.raises( - OutOfBoundsError, - match=rf"epoch_size \(={epoch_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): NeuralNetworkClassifier( InputConversionTable(), [ForwardLayer(1, 1)], @@ -67,10 +64,7 @@ def test_should_raise_if_epoch_size_out_of_bounds(self, epoch_size: int, device: ) def test_should_raise_if_batch_size_out_of_bounds(self, batch_size: int, device: Device) -> None: configure_test_with_device(device) - with pytest.raises( - OutOfBoundsError, - match=rf"batch_size \(={batch_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): NeuralNetworkClassifier( InputConversionTable(), [ForwardLayer(input_size=1, output_size=1)], @@ -511,10 +505,7 @@ class TestRegressionModel: ) def test_should_raise_if_epoch_size_out_of_bounds(self, epoch_size: int, device: Device) -> None: configure_test_with_device(device) - with pytest.raises( - OutOfBoundsError, - match=rf"epoch_size \(={epoch_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): NeuralNetworkRegressor( InputConversionTable(), [ForwardLayer(input_size=1, output_size=1)], @@ -533,10 +524,7 @@ def test_should_raise_if_epoch_size_out_of_bounds(self, epoch_size: int, device: ) def test_should_raise_if_batch_size_out_of_bounds(self, batch_size: int, device: Device) -> None: configure_test_with_device(device) - with pytest.raises( - OutOfBoundsError, - match=rf"batch_size \(={batch_size}\) is not inside \[1, \u221e\)\.", - ): + with pytest.raises(OutOfBoundsError): NeuralNetworkRegressor( InputConversionTable(), [ForwardLayer(input_size=1, output_size=1)],