Streamline the doctests in the sample_package

- add a couple of doctests
- fix failing existing doctests
This commit is contained in:
Alexander Hess 2020-10-27 17:38:20 +01:00
commit 4c123d5d01
Signed by: alexander
GPG key ID: 344EA5AB10D868E0
2 changed files with 51 additions and 25 deletions

View file

@ -38,6 +38,10 @@ class Matrix:
ValueError:
- if no entries are provided
- if the number of columns is inconsistent across the rows
Example Usage:
>>> Matrix([(1, 2), (3, 4)])
Matrix(((1.000, 2.000,), (3.000, 4.000,)))
"""
self._entries = self.storage(
self.storage(self.typing(x) for x in r) for r in data
@ -64,6 +68,10 @@ class Matrix:
ValueError:
- if no entries are provided
- if the number of rows is inconsistent across the columns
Example Usage:
>>> Matrix.from_columns([(1, 2), (3, 4)])
Matrix(((1.000, 3.000,), (2.000, 4.000,)))
"""
return cls(data).transpose()
@ -122,7 +130,7 @@ class Matrix:
>>> m[-1]
4.0
>>> m[0, 1]
3.0
2.0
"""
# Sequence-like indexing (one-dimensional)
if isinstance(index, int):
@ -201,13 +209,13 @@ class Matrix:
Example Usage:
>>> Matrix([(1, 2), (3, 4)]) + Matrix([(2, 3), (4, 5)])
Matrix(((3.0, 5.0), (7.0, 9.0)))
Matrix(((3.000, 5.000,), (7.000, 9.000,)))
>>> Matrix([(1, 2), (3, 4)]) + 5
Matrix(((6.0, 7.0), (8.0, 9.0)))
Matrix(((6.000, 7.000,), (8.000, 9.000,)))
>>> 10 + Matrix([(1, 2), (3, 4)])
Matrix(((11.0, 12.0), (13.0, 14.0)))
Matrix(((11.000, 12.000,), (13.000, 14.000,)))
"""
# Matrix addition
if isinstance(other, self.__class__):
@ -237,13 +245,13 @@ class Matrix:
Example Usage:
>>> Matrix([(2, 3), (4, 5)]) - Matrix([(1, 2), (3, 4)])
Matrix(((1.0, 1.0), (1.0, 1.0)))
Matrix(((1.000, 1.000,), (1.000, 1.000,)))
>>> Matrix([(1, 2), (3, 4)]) - 1
Matrix(((0.0, 1.0), (2.0, 3.0)))
Matrix(((0.000, 1.000,), (2.000, 3.000,)))
>>> 10 - Matrix([(1, 2), (3, 4)])
Matrix(((9.0, 8.0), (7.0, 6.0)))
Matrix(((9.000, 8.000,), (7.000, 6.000,)))
"""
# As subtraction is the inverse of addition,
# we first dispatch to .__neg__() to invert the signs of
@ -276,21 +284,21 @@ class Matrix:
Example Usage:
>>> Matrix([(1, 2), (3, 4)]) * Matrix([(1, 2), (3, 4)])
Matrix(((7.0, 10.0), (15.0, 22.0)))
Matrix(((7.000, 10.000,), (15.000, 22.000,)))
>>> 2 * Matrix([(1, 2), (3, 4)])
Matrix(((2.0, 4.0), (6.0, 8.0)))
Matrix(((2.000, 4.000,), (6.000, 8.000,)))
>>> Matrix([(1, 2), (3, 4)]) * 3
Matrix(((3.0, 6.0), (9.0, 12.0)))
Matrix(((3.000, 6.000,), (9.000, 12.000,)))
Matrix-vector and vector-matrix multiplication are not commutative.
>>> Matrix([(1, 2), (3, 4)]) * Vector([5, 6])
Vector((17.0, 39.0))
Vector((17.000, 39.000))
>>> Vector([5, 6]) * Matrix([(1, 2), (3, 4)])
Vector((23.0, 34.0))
Vector((23.000, 34.000))
"""
# Scalar multiplication
if isinstance(other, numbers.Number):
@ -322,7 +330,7 @@ class Matrix:
Example Usage:
>>> Matrix([(1, 2), (3, 4)]) / 4
Matrix([(0.25, 0.5), (0.75, 1.0)])
Matrix(((0.250, 0.500,), (0.750, 1.000,)))
"""
# As scalar division division is the same as multiplication
# with the inverse, we dispatch to .__mul__().
@ -394,6 +402,10 @@ class Matrix:
Raises:
RuntimeError: if one of the two dimensions, .n_rows or .n_cols, is not 1
Example Usage:
>>> Matrix([(1, 2, 3)]).as_vector()
Vector((1.000, 2.000, 3.000))
"""
if not (self.n_rows == 1 or self.n_cols == 1):
raise RuntimeError("one dimension (m or n) must be 1")
@ -404,6 +416,13 @@ class Matrix:
Returns:
matrix (Matrix)
Example Usage:
>>> m = Matrix([(1, 2), (3, 4)])
>>> m
Matrix(((1.000, 2.000,), (3.000, 4.000,)))
>>> m.transpose()
Matrix(((1.000, 3.000,), (2.000, 4.000,)))
"""
return self.__class__(zip(*self._entries))