A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
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Updated
Jul 23, 2024 - Jupyter Notebook
A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method
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This precompiler can load external data (JSON, CSV, or XLS/XLSX) into exmaples table.
Template for a GherKing precompiler
A precompiler of GherKing to loop scenarios and scenario outlines to repeat them.
This precompiler is responsible for defining macros in feature files and then executing them.
The ScenarioNumbering precompiler is responsible for adding an index to all scenarios and scenario outlines.
This precompiler is responsible for converting Scenario Outlines to single Scenarios as Cucumber would do and adds the first column as a tag.
The Replacer precompiler is responsible for exchanging predefined strings in the feature files. It inserts the provided text in the place held for them.
The StepGroups precompiler is responsible for correcting the gherkin keywords of steps to make the tests more readable.
This precompiler can add numbering column to Examples tables, and apply formatting to the name of the Scenario Outline.
The Filter precompiler is responsible for including or excluding the elements of a feature file in the result, which match a cucumber-tag-expression (e.g., has a given tag, does not have a given tag)
This precompiler removes all or particular type of semantic comments from the feature file.
This precompiler can be used to inject License statement into the feature files.
The RemoveDuplicates precompiler is responsible for having only a reasonable amount of tags and/or rows in each feature file.
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