lilangbr / 4th_plataforma

4th_plataforma

This project is part of the Vivo challenge for new developers. It consists of 3 challenges, as follows: Note: See ./subject for more details.

***** 1th challenge*****

Given values from 0 to 15, generate a statistic of its occurrence in a bitmap image (which can be represented by an M x N matrix), as shown in the following figure:

• This challenge was developed in python v3.6.9.
• Script: prova_desenvolvedores_4p_1.py
• To run: $ python3 prova_desenvolvedores_4p_1.py

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• Requirements: python v3.x instaled

******To run unit tests:

• go to ./unit_tests
• To run: run py.test to run all tests. (unit_tests)$ py.test (Or py.test name_of_file.py to run a particular test.)

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• Note Requirements: You must have pytest installed on your machine. See https://docs.pytest.org/en/stable/ for instructions:
• Requirements: pytest instaled
• $ python3 -m pip install -U pytest

$ py.test

***** 2th challenge*****

Transform the previous algorithm into a Rest API.

• Input parameter: list with the values
• Output: output of the algorithm in JSON format.

This API was developed on Flask Framework.

• Script: prova_desenvolvedores_4p_2.py
• To run: $python3 prova_desenvolvedores_4p_2.py
• In your browser, go to http://127.0.0.1/5000/ and follow the instructions. Or, for short, type the previous url followed by the space-separated values.

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• Requirements: To run the script it is necessary to have Flask framework installed:
• $ python3 -m pip install flask

Note about input:

• Values must be between 0 and 15,
• separated by spaces.
• Other characters are not accepted, as well as values outside the range.

***** 3th challenge*****

Develop an API that reads a log file and returns the following information: (See ./subject)

• Arrival Position,
• Superhero Code,
• Superhero Name,
• Amount of Completed laps and
• Total race time. Script: prova_desenvolvedores_4p_3.py

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• Requirements:To run the script it is necessary to have pandas and numpy installed.
• $ python3 -m pip install pandas
• $ python3 -m pip install numpy

work in process

• It was very exciting! Unfortunately I need to respect the project deadline. But this project, once evaluated so far, will be continued! After all, the challenge was accepted!

• May the force be with you!