Extra-point questions are much harder to solve; it will take…

Extra-point questions are much harder to solve; it will take time. Attempt on these questions only if you had extra time. Please use time wisely.  If you did not answer any of the extra point questions, you would not lose any points. However, if you did and answered correctly, the points earned will be added to your total points, which will improve your grades.     

Assuming quantity has already been declared as Integer and d…

Assuming quantity has already been declared as Integer and discount has been declared as Real, write the pseudocode program segment that uses range checking to set the discount based on the following table:  quantity  discount  0 – 4  0.00  5 – 9  0.05  10 – 14  0.07  15 or more  0.09 You may use either high-end or low-end values for range checking. You do not need to indicate which method you are using.  Hint: Indentation is important. “Tab” key is not available when use Canvas Editor. Press the space bar five times instead.

Write out the exact screen output for each program segment….

Write out the exact screen output for each program segment. If provided with multiple spaces, each space stands for a line and in sequence. The second space stands for the 2nd line on the output screen. Fill in the output in the spaces accordingly.  If there is no output on that line, you must type in “No output” in the spaces provided. Leaving the space blank will be considered as “The student did not answer this question.” will result in a 0 to that question.  If the segment does not generate any output, type in “No output” in all the spaces provided. 

routes.py @application.route(‘/plotly_example’, methods=(‘GE…

routes.py @application.route(‘/plotly_example’, methods=(‘GET’, ‘POST’))@login_requireddef plotly_example(): locations = classes.Location.query.all() output = plotly_map(locations) return render_template(‘plotly_map.html’, source=output) def plotly_map(locations): data = [ Scattermapbox( lat=[location.latitude for location in locations], lon=[location.longitude for location in locations], text=[location.name for location in locations], mode=’markers’, )] layout = Layout( autosize=True, hovermode=’closest’, mapbox=dict( accesstoken=mapbox_access_token, bearing=0, center=dict( lat=mean([location.latitude for location in locations]), lon=mean([location.longitude for location in locations]) ), pitch=100, zoom=10 ), ) fig = dict(data=data, layout=layout) output = plotly.offline.plot(fig, include_plotlyjs=False, output_type=’div’) return(output) plotly_map.html {% block content %} {{ source|(1) }} {% endblock %} Which filter should be used for (1) to render the json output on plotly_map.html?