1. Rock-paper-scissors

Implement rock_paper_scissors function which takes the player's rock-paper-scissors choice as an input (as integer), randomly selects the choice of the computer and reveals it (prints) and finally announces (prints) the result. The function should return PLAYER_WINS, COMPUTER_WINS or TIE.

In [ ]:
# Constants, you should use these in your implementation
ROCK = 1

PLAYER_WINS = 'Player wins!! Woop woop!'
COMPUTER_WINS = 'Robocop wins :-('
TIE = "It's a tie!"
In [ ]:
# Your implementation here

Once you have finished the implementation of rock_paper_scissors function, you can check if it works as expected by playing the game:

In [ ]:
def play_rps():
    print('Welcome to play rock-paper-scissors')
    print('The options are:\nrock: 1\npaper: 2\nscissors: 3')

    result = TIE
    while result == TIE:
        player_choice = input('Give your choice\n')
        if not player_choice in ['1', '2', '3']:
            print('Invalid choice')
        result = rock_paper_scissors(int(player_choice))
if __name__ == '__main__':

If you copy the code from above cells into a single .py file, you have a rock-paper-scissor command line game!

2. Data analyzer

Implement DataAnalyzer class which has the following specification:

  • __init__ takes one argument which is a path to the file to be analyzed
  • total_samples method returns the amount of the data samples in the file
  • average method returns the average of the data samples in the file
  • median method returns the median of the data samples in the file
  • max_value method returns the maximum value of the data samples in the file
  • min_value method returns the minimum value of the data samples in the file
  • create_report method returns a report (string) of the file in the following format:
Report for <filename>
samples: x
average: x.xx
median: xx.xx
max: xx.xx
min: x.xx

Note that average, median, max, and min should be presented with two decimal places in the report.

The format of the input file is comma separated and the file contains only numeric values.

If there is no data in the input file (empty file), NoData exception should be raised. Note: NoData should be your custom exception.

In [ ]:
# Your implementation here

Let's verify it works.

In [ ]:
import os
WORKING_DIR = os.getcwd()
DATA_DIR = os.path.join(os.path.dirname(WORKING_DIR), 'data')
DATA_FILE = os.path.join(DATA_DIR, 'random_data.txt')

da = DataAnalyzer(DATA_FILE)

assert da.total_samples() == 20
assert da.average() == 49.35
assert da.median() == 47.5
assert da.max_value() == 94
assert da.min_value() == 4

report = da.create_report()

expected_report = (
'Report for random_data.txt\n'
'samples: 20\n'
'average: 49.35\n'
'median: 47.50\n'
'max: 94.00\n'
'min: 4.00')
assert report == expected_report 

Let's check that it raises NoData with empty file.

In [ ]:
EMPTY_FILE = os.path.join(DATA_DIR, 'empty_file.txt')
    da_empty = DataAnalyzer(EMPTY_FILE)
except NoData:
    print('All ok :)')
else: # There was no exception
    assert False