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to Matrix in the Python Track

Published at Oct 31 2020 · 0 comments
Test suite

Given a string representing a matrix of numbers, return the rows and columns of that matrix.

So given a string with embedded newlines like:

9 8 7
5 3 2
6 6 7

representing this matrix:

    1  2  3
1 | 9  8  7
2 | 5  3  2
3 | 6  6  7

your code should be able to spit out:

  • A list of the rows, reading each row left-to-right while moving top-to-bottom across the rows,
  • A list of the columns, reading each column top-to-bottom while moving from left-to-right.

The rows for our example matrix:

  • 9, 8, 7
  • 5, 3, 2
  • 6, 6, 7

And its columns:

  • 9, 5, 6
  • 8, 3, 6
  • 7, 2, 7

In this exercise you're going to create a class. Don't worry, it's not as complicated as you think!

Exception messages

Sometimes it is necessary to raise an exception. When you do this, you should include a meaningful error message to indicate what the source of the error is. This makes your code more readable and helps significantly with debugging. Not every exercise will require you to raise an exception, but for those that do, the tests will only pass if you include a message.

To raise a message with an exception, just write it as an argument to the exception type. For example, instead of raise Exception, you should write:

raise Exception("Meaningful message indicating the source of the error")

Running the tests

To run the tests, run pytest matrix_test.py

Alternatively, you can tell Python to run the pytest module: python -m pytest matrix_test.py

Common pytest options

  • -v : enable verbose output
  • -x : stop running tests on first failure
  • --ff : run failures from previous test before running other test cases

For other options, see python -m pytest -h

Submitting Exercises

Note that, when trying to submit an exercise, make sure the solution is in the $EXERCISM_WORKSPACE/python/matrix directory.

You can find your Exercism workspace by running exercism debug and looking for the line that starts with Workspace.

For more detailed information about running tests, code style and linting, please see Running the Tests.


Warmup to the saddle-points warmup. http://jumpstartlab.com

Submitting Incomplete Solutions

It's possible to submit an incomplete solution so you can see how others have completed the exercise.


import unittest

from matrix import Matrix

# Tests adapted from `problem-specifications//canonical-data.json`

class MatrixTest(unittest.TestCase):
    def test_extract_row_from_one_number_matrix(self):
        matrix = Matrix("1")
        self.assertEqual(matrix.row(1), [1])

    def test_can_extract_row(self):
        matrix = Matrix("1 2\n3 4")
        self.assertEqual(matrix.row(2), [3, 4])

    def test_extract_row_where_numbers_have_different_widths(self):
        matrix = Matrix("1 2\n10 20")
        self.assertEqual(matrix.row(2), [10, 20])

    def test_can_extract_row_from_non_square_matrix_with_no_corresponding_column(self):
        matrix = Matrix("1 2 3\n4 5 6\n7 8 9\n8 7 6")
        self.assertEqual(matrix.row(4), [8, 7, 6])

    def test_extract_column_from_one_number_matrix(self):
        matrix = Matrix("1")
        self.assertEqual(matrix.column(1), [1])

    def test_can_extract_column(self):
        matrix = Matrix("1 2 3\n4 5 6\n7 8 9")
        self.assertEqual(matrix.column(3), [3, 6, 9])

    def test_can_extract_column_from_non_square_matrix_with_no_corresponding_row(self):
        matrix = Matrix("1 2 3 4\n5 6 7 8\n9 8 7 6")
        self.assertEqual(matrix.column(4), [4, 8, 6])

    def test_extract_column_where_numbers_have_different_widths(self):
        matrix = Matrix("89 1903 3\n18 3 1\n9 4 800")
        self.assertEqual(matrix.column(2), [1903, 3, 4])

if __name__ == "__main__":
class Matrix(object):
    def __init__(self, matrix_string):
        self.matrix = [[int(element) for element in row.split(' ') ]
                       for row in matrix_string.split('\n')]

    def row(self, index):
        return self.matrix[index - 1]

    def column(self, index):
        return [row[index - 1] for row in self.matrix]

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