chore(deps): update python to v3.14.0

.github/workflows/test-pypi-install.yml

@@ -18,7 +18,7 @@ jobs:
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
-          python-version: "3.12"
+          python-version: "3.14"
 
       - name: Install uv
         uses: astral-sh/setup-uv@v6

pyprobe/analysis/degradation_mode_analysis.py

@@ -98,7 +98,7 @@ def from_data(
         stoichiometry: NDArray[np.float64],
         ocp: NDArray[np.float64],
         interpolation_method: Literal["linear", "cubic", "Pchip", "Akima"] = "linear",
-    ) -> "OCP":
+    ) -> OCP:
         """Create an OCP object from stoichiometry and OCP data.
 
         Appends to the ocp list for the given electrode. Composite electrodes require
@@ -121,7 +121,7 @@ def from_data(
         return OCP(interpolator(stoichiometry, ocp))
 
     @staticmethod
-    def from_expression(sympy_expression: sp.Expr) -> "OCP":
+    def from_expression(sympy_expression: sp.Expr) -> OCP:
         """Create an OCP object from a sympy expression.
 
         Args:
@@ -181,7 +181,7 @@ def from_data(
         stoichiometry_comp2: NDArray[np.float64],
         ocp_comp2: NDArray[np.float64],
         interpolation_method: Literal["linear", "cubic", "Pchip", "Akima"] = "linear",
-    ) -> "CompositeOCP":
+    ) -> CompositeOCP:
         """Create a CompositeOCP object from stoichiometry and OCP data.
 
         Args:

pyprobe/analysis/utils.py

@@ -37,7 +37,7 @@ class Config:
     """The columns required to conduct the analysis."""
 
     @model_validator(mode="after")
-    def validate_required_columns(self) -> "AnalysisValidator":
+    def validate_required_columns(self) -> AnalysisValidator:
         """Check if the required columns are present in the input_data.
 
         Returns:

pyprobe/cyclers/basecycler.py

@@ -60,7 +60,7 @@ def validate_input_path(cls, v: str) -> str:
         return str(path)
 
     @model_validator(mode="after")
-    def validate_output_path(self) -> "BaseCycler":
+    def validate_output_path(self) -> BaseCycler:
         """Set the default output path if not provided."""
         if self.output_data_path is not None:
             path = Path(self.output_data_path)
@@ -88,7 +88,7 @@ def validate_output_path(self) -> "BaseCycler":
         return self
 
     @model_validator(mode="after")
-    def import_and_validate_data(self) -> "BaseCycler":
+    def import_and_validate_data(self) -> BaseCycler:
         """Import the data and validate the column mapping."""
         if not os.path.exists(str(self.output_data_path)) or self.overwrite_existing:
             dataframe_list = self._get_dataframe_list()

pyprobe/dashboard.py

@@ -157,7 +157,7 @@ def select_experiment(self) -> tuple[Any, ...]:
         else:
             return ()
 
-    def get_data(self) -> list["Result"]:
+    def get_data(self) -> list[Result]:
         """Get the data from the selected cells."""
         selected_data = []
         for i in range(len(self.selected_indices)):
@@ -182,7 +182,7 @@ def get_data(self) -> list["Result"]:
             selected_data.append(filtered_data)
         return selected_data
 
-    def add_primary_trace(self, data: "Result", color: str) -> None:
+    def add_primary_trace(self, data: Result, color: str) -> None:
         """Add the primary trace to the plot.
 
         Args:
@@ -198,7 +198,7 @@ def add_primary_trace(self, data: "Result", color: str) -> None:
         )
         self.fig.add_trace(primary_trace)
 
-    def add_secondary_trace(self, data: "Result", color: str) -> None:
+    def add_secondary_trace(self, data: Result, color: str) -> None:
         """Add the secondary trace to the plot.
 
         Args:

pyprobe/filters.py

@@ -62,10 +62,10 @@ def _filter_numerical(
 
 
 def _step(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
     *step_numbers: int | range,
     condition: pl.Expr | None = None,
-) -> "Step":
+) -> Step:
     """Return a step object. Filters to a numerical condition on the Event column.
 
     Args:
@@ -101,7 +101,7 @@ def _step(
 
 
 def get_cycle_column(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
 ) -> pl.DataFrame | pl.LazyFrame:
     """Adds a cycle column to the data.
 
@@ -139,7 +139,7 @@ def get_cycle_column(
     return filtered_object.live_dataframe.with_columns(cycle_column)
 
 
-def _cycle(filtered_object: "ExperimentOrCycleType", *cycle_numbers: int) -> "Cycle":
+def _cycle(filtered_object: ExperimentOrCycleType, *cycle_numbers: int) -> Cycle:
     """Return a cycle object. Filters on the Cycle column.
 
     Args:
@@ -170,9 +170,9 @@ def _cycle(filtered_object: "ExperimentOrCycleType", *cycle_numbers: int) -> "Cy
 
 
 def _charge(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
     *charge_numbers: int | range,
-) -> "Step":
+) -> Step:
     """Return a charge step.
 
     Args:
@@ -189,9 +189,9 @@ def _charge(
 
 
 def _discharge(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
     *discharge_numbers: int | range,
-) -> "Step":
+) -> Step:
     """Return a discharge step.
 
     Args:
@@ -208,9 +208,9 @@ def _discharge(
 
 
 def _chargeordischarge(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
     *chargeordischarge_numbers: int | range,
-) -> "Step":
+) -> Step:
     """Return a charge or discharge step.
 
     Args:
@@ -231,7 +231,7 @@ def _chargeordischarge(
     return filtered_object.step(*chargeordischarge_numbers, condition=condition)
 
 
-def _rest(filtered_object: "FilterToCycleType", *rest_numbers: int | range) -> "Step":
+def _rest(filtered_object: FilterToCycleType, *rest_numbers: int | range) -> Step:
     """Return a rest step object.
 
     Args:
@@ -248,9 +248,9 @@ def _rest(filtered_object: "FilterToCycleType", *rest_numbers: int | range) -> "
 
 
 def _constant_current(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
     *constant_current_numbers: int | range,
-) -> "Step":
+) -> Step:
     """Return a constant current step object.
 
     Args:
@@ -277,9 +277,9 @@ def _constant_current(
 
 
 def _constant_voltage(
-    filtered_object: "FilterToCycleType",
+    filtered_object: FilterToCycleType,
     *constant_voltage_numbers: int | range,
-) -> "Step":
+) -> Step:
     """Return a constant voltage step object.
 
     Args:
@@ -348,7 +348,7 @@ def model_post_init(self, __context: Any) -> None:
     constant_current = _constant_current
     constant_voltage = _constant_voltage
 
-    def experiment(self, *experiment_names: str) -> "Experiment":
+    def experiment(self, *experiment_names: str) -> Experiment:
         """Return an experiment object from the procedure.
 
         Args:

pyprobe/plot.py

@@ -13,7 +13,7 @@
 
 
 def _retrieve_relevant_columns(
-    result_obj: "Result",
+    result_obj: Result,
     args: tuple[Any, ...],
     kwargs: dict[Any, Any],
 ) -> pl.DataFrame:

pyprobe/rawdata.py

@@ -1,7 +1,5 @@
 """A module for the RawData class."""
 
-from typing import Optional
-
 import polars as pl
 from loguru import logger
 from pydantic import Field, field_validator
@@ -68,7 +66,7 @@ class RawData(Result):
     def check_required_columns(
         cls,
         dataframe: pl.LazyFrame | pl.DataFrame,
-    ) -> "RawData":
+    ) -> RawData:
         """Check if the required columns are present in the input_data."""
         column_list = dataframe.collect_schema().names()
         missing_columns = [col for col in required_columns if col not in column_list]
@@ -135,7 +133,7 @@ def capacity(self) -> float:
     def set_soc(
         self,
         reference_capacity: float | None = None,
-        reference_charge: Optional["RawData"] = None,
+        reference_charge: RawData | None = None,
     ) -> None:
         """Add an SOC column to the data.
 
@@ -213,7 +211,7 @@ def set_soc(
     def set_SOC(  # noqa: N802
         self,
         reference_capacity: float | None = None,
-        reference_charge: Optional["RawData"] = None,
+        reference_charge: RawData | None = None,
     ) -> None:
         """Add an SOC column to the data.
 

pyprobe/readme_processor.py

@@ -108,7 +108,7 @@ def _get_max_step(self) -> int:
 
 def process_readme(
     readme_path: str,
-) -> "ReadmeModel":
+) -> ReadmeModel:
     """Function to process the README.yaml file.
 
     Args:

pyprobe/result.py

@@ -317,7 +317,7 @@ def data_with_columns(self, *column_names: str) -> pl.DataFrame:
         self._polars_cache.collect_columns(*column_names)
         return self._polars_cache.cached_dataframe.select(column_names)
 
-    def __getitem__(self, *column_names: str) -> "Result":
+    def __getitem__(self, *column_names: str) -> Result:
         """Return a new result object with the specified columns.
 
         Args:
@@ -426,7 +426,7 @@ def clean_copy(
         self,
         dataframe: pl.DataFrame | pl.LazyFrame | None = None,
         column_definitions: dict[str, str] | None = None,
-    ) -> "Result":
+    ) -> Result:
         """Create a copy of the result object with info dictionary but without data.
 
         Args:
@@ -551,7 +551,7 @@ def add_new_data_columns(
 
     def join(
         self,
-        other: "Result",
+        other: Result,
         on: str | list[str],
         how: str = "inner",
         coalesce: bool = True,
@@ -588,7 +588,7 @@ def join(
 
     def extend(
         self,
-        other: Union["Result", list["Result"]],  # noqa: UP007
+        other: Union[Result, list[Result]],  # noqa: UP007
         concat_method: str = "diagonal",
     ) -> None:
         """Extend the data in this Result object with the data in another Result object.
@@ -636,7 +636,7 @@ def build(
             ]
         ],
         info: dict[str, Any | None],
-    ) -> "Result":
+    ) -> Result:
         """Build a Result object from a list of dataframes.
 
         Args:
@@ -701,7 +701,7 @@ def from_polars_io(
         info: dict[str, Any | None] = {},
         column_definitions: dict[str, str] = {},
         **kwargs: Any,
-    ) -> "Result":
+    ) -> Result:
         """Create a new Result object with data from a Polars IO function.
 
         Refer to the Polars documentation for a list of available IO functions:

pyproject.toml

@@ -4,7 +4,7 @@ authors = [
   {name = "Thomas Holland"},
 ]
 version = "2.3.1"
-requires-python = ">=3.11,<3.13"
+requires-python = ">=3.14,<3.15"
 license = { file = "LICENSE" }
 readme = {file = "README.md", content-type = "text/markdown"}
 dependencies = [