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How to use _pickle_tags method in Gherkin-python

Best Python code snippet using gherkin-python

compiler.py

Source:compiler.py

...24    tags = list(feature_tags) + list(scenario['tags'])25    for step in scenario['steps']:26        steps.append(_pickle_step(step))27    pickle = {28        'tags': _pickle_tags(tags),29        'name': scenario['name'],30        'language': language,31        'locations': [_pickle_location(scenario['location'])],32        'steps': steps33    }34    pickles.append(pickle)35def _compile_scenario_outline(feature_tags, background_steps, scenario_outline, language, pickles):36    for examples in (e for e in scenario_outline['examples'] if 'tableHeader' in e):37        variable_cells = examples['tableHeader']['cells']38        for values in examples['tableBody']:39            value_cells = values['cells']40            steps = list()41            if len(scenario_outline['steps']) > 0:42                steps.extend(background_steps)43            tags = list(feature_tags) \44                + list(scenario_outline['tags']) \45                + list(examples['tags'])46            for scenario_outline_step in scenario_outline['steps']:47                step_text = _interpolate(48                    scenario_outline_step['text'],49                    variable_cells,50                    value_cells)51                arguments = _create_pickle_arguments(52                    scenario_outline_step.get('argument'),53                    variable_cells,54                    value_cells)55                _pickle_step = {56                    'text': step_text,57                    'arguments': arguments,58                    'locations': [59                        _pickle_location(values['location']),60                        _pickle_step_location(scenario_outline_step)61                    ]62                }63                steps.append(_pickle_step)64            pickle = {65                'name': _interpolate(66                    scenario_outline['name'],67                    variable_cells,68                    value_cells),69                'language': language,70                'steps': steps,71                'tags': _pickle_tags(tags),72                'locations': [73                    _pickle_location(values['location']),74                    _pickle_location(scenario_outline['location'])75                ]76            }77            pickles.append(pickle)78def _create_pickle_arguments(argument, variables, values):79    result = []80    if not argument:81        return result82    if argument['type'] == 'DataTable':83        table = {'rows': []}84        for row in argument['rows']:85            cells = [86                {87                    'location': _pickle_location(cell['location']),88                    'value': _interpolate(cell['value'], variables, values)89                } for cell in row['cells']90            ]91            table['rows'].append({'cells': cells})92        result.append(table)93    elif argument['type'] == 'DocString':94        docstring = {95            'location': _pickle_location(argument['location']),96            'content': _interpolate(argument['content'], variables, values)97        }98        if 'contentType' in argument:99            docstring['contentType'] = _interpolate(argument['contentType'], variables, values)100        result.append(docstring)101    else:102        raise Exception('Internal error')103    return result104def _interpolate(name, variable_cells, value_cells):105    for n, variable_cell in enumerate(variable_cells):106        value_cell = value_cells[n]107        name = re.sub(108            u'<{0[value]}>'.format(variable_cell),109            value_cell['value'],110            name111            )112    return name113def _pickle_steps(scenario_definition):114    return [_pickle_step(step)115            for step in scenario_definition['steps']]116def _pickle_step(step):117    return {118        'text': step['text'],119        'arguments': _create_pickle_arguments(120            step.get('argument'),121            [],122            []),123        'locations': [_pickle_step_location(step)]124    }125def _pickle_step_location(step):126    return {127        'line': step['location']['line'],128        'column': step['location']['column'] + count_symbols(step.get('keyword', 0))129    }130def _pickle_location(location):131    return {132        'line': location['line'],133        'column': location['column']134    }135def _pickle_tags(tags):136    return [_pickle_tag(tag) for tag in tags]137def _pickle_tag(tag):138    return {139        'name': tag['name'],140        'location': _pickle_location(tag['location'])...

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