def step_impl(context):
expected = Matrix(4, 4)
for row in range(4):
for column in range(4):
expected.matrix[row][column] = float(context.table[row][column])
result = context.A.transpose()
assert expected == result, 'The transpose of Matrix A does not match the expected result.'
def step_impl(context, row, column, rows, columns):
expected = Matrix(rows, columns)
for e_row in range(rows):
for e_col in range(columns):
expected.matrix[e_row][e_col] = float(context.table[e_row][e_col])
result = context.M.submatrix(row, column)
assert expected == result, 'The expected submatrix was not found with the calculated result.'
def step_impl(context):
expected = Matrix(4, 4)
for row in range(4):
for column in range(4):
expected.matrix[row][column] = float(context.table[row][column])
result = context.A * context.B
assert expected == result, 'The multiplication of A * B does not match the expected result.'
def step_impl(context):
expected = Matrix(4, 4)
for e_row in range(4):
for e_col in range(4):
expected.matrix[e_row][e_col] = float(context.table[e_row][e_col])
result = context.M.inverse()
assert expected == result, 'The expected matrix is does not match the given inverse.'
def step_impl(context):
expected = Matrix(4, 4)
for e_row in range(4):
for e_col in range(4):
expected.matrix[e_row][e_col] = float(context.table[e_row][e_col])
result = context.B
assert expected == result, 'The expected matrix does not match what was given.'
def step_impl(context, col, row):
expected = Matrix(col, row)
i = j = 0
for row in context.table:
for col in row:
expected._matrix[i][j] = float(col)
j += 1
i += 1
j = 0
assert expected == context.t, f't != {expected._matrix}'
def question_two():
print('2. What do you get when you multiply a matrix by its inverse?')
m = Matrix(3, 3)
m._matrix = [[1, 2, 3],
[20, 5, 6],
[7, 8, 11]]
print('We have the following matrix:')
for row in m.matrix:
print(row)
print('\nThe inverse matrix is the following:')
i = m.inverse()
for row in i.matrix:
print(row)
print('\nThe product of the matrix with it\'s inverse is the following:')
p = i * m
for row in p.matrix:
print(row)
def step_impl(context, rows, columns):
context.M = Matrix(rows, columns)
for row_index, row in enumerate(context.table):
for column_index, column in enumerate(row):
context.M.matrix[row_index][column_index] = float(column)
def step_impl(context):
context.B = Matrix(4, 4)
for row in range(4):
for column in range(4):
context.B.matrix[row][column] = float(context.table[row][column])