Dev

.flake8

@@ -5,7 +5,7 @@ per-file-ignores =
     logs*.py: F811
     mathematical*.py: F401,F821,E402
     n_reps*.py: E0602,F401,F821,W0611
-    outputs*.py: F811
+    outputs*.py: F811, F821, E0601
     parallel*.py: F401,F821
     parameters_file*.py: E402,F811,E0102
     parameters_validation*.py: F821
@@ -16,4 +16,4 @@ per-file-ignores =
     tests_resources/*.py: E0401
     */outputs_resources/*.py: E261,E262,F821
     */parallel_resources/*.py: E261,E262,F821
-    */replications_resources/*.py: E261,E262,F821
+    */replications_resources/*.py: E261,E262,F821

.pylintrc

@@ -11,4 +11,5 @@ disable =
     too-many-arguments,
     too-many-instance-attributes,
     too-many-lines,
-    too-many-positional-arguments
+    too-many-positional-arguments,
+    wrong-import-order

environment.yaml

@@ -22,5 +22,5 @@ dependencies:
     - distfit==1.8.8
     - jupytext==1.17.2
     - kaleido==1.1.0
-    - lintquarto==0.5.0
+    - lintquarto==0.13.0
     - sim-tools==1.0.0

pages/guide/inputs/input_modelling.qmd

@@ -570,7 +570,7 @@ daily_arrivals_outliers = daily_arrivals.copy()
 
 # One very high day and one very low day
 high_day = pd.to_datetime("2025-02-15")
-low_day  = pd.to_datetime("2025-03-10")
+low_day = pd.to_datetime("2025-03-10")
 
 if high_day in daily_arrivals_outliers.index:
     daily_arrivals_outliers.loc[high_day] *= 3

pages/guide/inputs/parameters_file.qmd

@@ -80,7 +80,7 @@ There are several file types you can use to store parameters, with **CSV** and *
 We will make a folder called `inputs` to store our parameter files within.
 
 ```{python}
-data_path = "inputs"
+DATA_PATH = "inputs"
 ```
 
 :::
@@ -99,7 +99,7 @@ data_path <- file.path("inst", "extdata")
 
 ```{python}
 #| echo: false
-data_path = "parameters_file_resources"
+DATA_PATH = "parameters_file_resources"
 ```
 
 ```{r}
@@ -117,7 +117,7 @@ For CSV files, use a simple tabular structure and follow tidy data principles -
 
 ```{python}
 # Import and preview parameter file
-csv_content = pd.read_csv(os.path.join(data_path, "example_parameters.csv"))
+csv_content = pd.read_csv(os.path.join(DATA_PATH, "example_parameters.csv"))
 HTML(to_html_datatable(csv_content))
 ```
 
@@ -163,7 +163,7 @@ For JSON files, data are stored in hierachical / nested structures. Keep the str
 ```{python}
 # Import parameters
 # pylint:disable=invalid-name
-json_file = os.path.join(data_path, "example_parameters.json")
+json_file = os.path.join(DATA_PATH, "example_parameters.json")
 with open(json_file, "r", encoding="utf-8") as f:
     json_content = json.load(f)
 
@@ -414,7 +414,7 @@ def create_parameters(json_file, number_of_runs=10):
     return param_dict
 
 
-param = create_parameters(os.path.join(data_path, "example_parameters.json"))
+param = create_parameters(os.path.join(DATA_PATH, "example_parameters.json"))
 print(json.dumps(param, indent=3))
 ```
 
@@ -447,7 +447,7 @@ def create_parameters(csv_file, number_of_runs=10):
     return param_dict
 
 
-param = create_parameters(os.path.join(data_path, "example_parameters.csv"))
+param = create_parameters(os.path.join(DATA_PATH, "example_parameters.csv"))
 print(json.dumps(param, indent=3))
 ```
 
@@ -479,7 +479,7 @@ def create_parameters(csv_file, number_of_runs=10):
     return dict(param_dict)
 
 
-param = create_parameters(os.path.join(data_path, "example_parameters.csv"))
+param = create_parameters(os.path.join(DATA_PATH, "example_parameters.csv"))
 print(json.dumps(param, indent=3))
 ```
 
@@ -609,7 +609,7 @@ class CreateParameters:
         self.number_of_runs = number_of_runs
 
 
-param = CreateParameters(os.path.join(data_path, "example_parameters.json"))
+param = CreateParameters(os.path.join(DATA_PATH, "example_parameters.json"))
 print(json.dumps(param.__dict__, indent=3))
 ```
 
@@ -642,7 +642,7 @@ class CreateParameters:
         self.number_of_runs = number_of_runs
 
 
-param = CreateParameters(os.path.join(data_path, "example_parameters.csv"))
+param = CreateParameters(os.path.join(DATA_PATH, "example_parameters.csv"))
 print(json.dumps(param.__dict__, indent=3))
 ```
 
@@ -678,7 +678,7 @@ class CreateParameters:
         self.number_of_runs = number_of_runs
 
 
-param = CreateParameters(os.path.join(data_path, "example_parameters.csv"))
+param = CreateParameters(os.path.join(DATA_PATH, "example_parameters.csv"))
 print(json.dumps(param.__dict__, indent=3))
 ```
 
@@ -771,7 +771,7 @@ def setup_param_from_csv(csv_path):
 
 # Import parameters
 params = setup_param_from_csv(
-    os.path.join(data_path, "example_parameters.csv")
+    os.path.join(DATA_PATH, "example_parameters.csv")
 )
 
 # View object

pages/guide/setup/code_structure.qmd

@@ -38,7 +38,6 @@ date: "2025-09-30T14:35:31+01:00"
 The following imports are required. These should be available from environment setup on the [Structuring as a package](/pages/guide/setup/package.qmd) page.
 
 ```{python}
-import numpy as np
 import pandas as pd
 ```