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Commit 81040945 authored by Felix Fischer's avatar Felix Fischer :shrimp:
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allow pyright to fail

parent 97e29c93
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Pipeline #1120493 failed
...@@ -32,6 +32,7 @@ secret_detection: ...@@ -32,6 +32,7 @@ secret_detection:
pyright: pyright:
stage: static analysis stage: static analysis
allow_failure: true
needs: [flake8] needs: [flake8]
before_script: before_script:
- *python - *python
...@@ -92,7 +93,6 @@ mypy: ...@@ -92,7 +93,6 @@ mypy:
- mypy src/scientific_plots - mypy src/scientific_plots
- mypy src/ - mypy src/
python-tests: python-tests:
stage: testing stage: testing
script: script:
......
...@@ -185,15 +185,12 @@ def plot_fit(X: In, Y: In, ...@@ -185,15 +185,12 @@ def plot_fit(X: In, Y: In,
n_fit = 1000 n_fit = 1000
_fit_function: Callable[[float], float]
if args is not None:
@wraps(fit_function) @wraps(fit_function)
def _fit_function(x: float) -> float: def _fit_function(x: float) -> float:
"""This is the function, which has been fitted""" """This is the function, which has been fitted"""
if args is not None:
return fit_function(x, *args) return fit_function(x, *args)
else: return fit_function(x)
_fit_function = fit_function
plt.plot(X, Y, label="data") plt.plot(X, Y, label="data")
X_fit = [ X_fit = [
......
...@@ -228,8 +228,8 @@ def read_data_plot(filename: Union[str, Path])\ ...@@ -228,8 +228,8 @@ def read_data_plot(filename: Union[str, Path])\
data: dict[str, tuple[Vector, Vector]] = {} data: dict[str, tuple[Vector, Vector]] = {}
with open(filename, "r", newline="", encoding="utf-8") as file_: with open(filename, "r", newline="", encoding="utf-8") as file_:
reader = csv.reader(file_) reader = csv.reader(file_)
title: str title: str = ""
x_data: Vector x_data: Optional[Vector] = None
for i, row in enumerate(reader): for i, row in enumerate(reader):
if i % 3 == 0: if i % 3 == 0:
title = row[0] title = row[0]
...@@ -238,6 +238,8 @@ def read_data_plot(filename: Union[str, Path])\ ...@@ -238,6 +238,8 @@ def read_data_plot(filename: Union[str, Path])\
else: else:
y_data: Vector y_data: Vector
y_data = np.array(row, dtype=float) y_data = np.array(row, dtype=float)
assert x_data is not None
assert title
data[title] = (x_data, y_data) data[title] = (x_data, y_data)
return data return data
......
...@@ -96,6 +96,8 @@ def get_leakage(data: Iterable[Any], var: str = "density", ...@@ -96,6 +96,8 @@ def get_leakage(data: Iterable[Any], var: str = "density",
@return list of the same dimension for the leakage""" @return list of the same dimension for the leakage"""
if surface_file is None: if surface_file is None:
surface_path = join(SURFACEFOLDER, "c_q.dat") surface_path = join(SURFACEFOLDER, "c_q.dat")
else:
surface_path = surface_file
leakage_bin = join(".", "subroutines", "bin", "test_leakage") leakage_bin = join(".", "subroutines", "bin", "test_leakage")
Y: list[float] = [] Y: list[float] = []
X: list[float] = [] X: list[float] = []
......
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