def test_converting_functions():
arr_list = [1, 2, 3, 4]
arr_matrix = Matrix(((1, 2), (3, 4)))
# list
arr_ndim_array = MutableDenseNDimArray(arr_list, (2, 2))
assert (isinstance(arr_ndim_array, MutableDenseNDimArray))
assert arr_matrix.tolist() == arr_ndim_array.tolist()
# Matrix
arr_ndim_array = MutableDenseNDimArray(arr_matrix)
assert (isinstance(arr_ndim_array, MutableDenseNDimArray))
assert arr_matrix.tolist() == arr_ndim_array.tolist()
assert arr_matrix.shape == arr_ndim_array.shape
def test_ndim_array_converting():
dense_array = MutableDenseNDimArray([1, 2, 3, 4], (2, 2))
alist = dense_array.tolist()
alist == [[1, 2], [3, 4]]
matrix = dense_array.tomatrix()
assert (isinstance(matrix, Matrix))
for i in range(len(dense_array)):
assert dense_array[i] == matrix[i]
assert matrix.shape == dense_array.shape
assert MutableDenseNDimArray(matrix) == dense_array
assert MutableDenseNDimArray(matrix.as_immutable()) == dense_array
assert MutableDenseNDimArray(matrix.as_mutable()) == dense_array
sparse_array = MutableSparseNDimArray([1, 2, 3, 4], (2, 2))
alist = sparse_array.tolist()
assert alist == [[1, 2], [3, 4]]
matrix = sparse_array.tomatrix()
assert(isinstance(matrix, SparseMatrix))
for i in range(len(sparse_array)):
assert sparse_array[i] == matrix[i]
assert matrix.shape == sparse_array.shape
assert MutableSparseNDimArray(matrix) == sparse_array
assert MutableSparseNDimArray(matrix.as_immutable()) == sparse_array
assert MutableSparseNDimArray(matrix.as_mutable()) == sparse_array
def test_higher_dimenions():
m3 = MutableDenseNDimArray(range(10, 34), (2, 3, 4))
assert m3.tolist() == [[[10, 11, 12, 13], [14, 15, 16, 17],
[18, 19, 20, 21]],
[[22, 23, 24, 25], [26, 27, 28, 29],
[30, 31, 32, 33]]]
assert m3._get_tuple_index(0) == (0, 0, 0)
assert m3._get_tuple_index(1) == (0, 0, 1)
assert m3._get_tuple_index(4) == (0, 1, 0)
assert m3._get_tuple_index(12) == (1, 0, 0)
assert str(
m3
) == '[[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]]'
m3_rebuilt = MutableDenseNDimArray([[[10, 11, 12, 13], [14, 15, 16, 17],
[18, 19, 20, 21]],
[[22, 23, 24, 25], [26, 27, 28, 29],
[30, 31, 32, 33]]])
assert m3 == m3_rebuilt
m3_other = MutableDenseNDimArray(
[[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]],
[[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]], (2, 3, 4))
assert m3 == m3_other
def test_higher_dimenions():
m3 = MutableDenseNDimArray(range(10, 34), (2, 3, 4))
assert m3.tolist() == [
[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]],
[[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]],
]
assert m3._get_tuple_index(0) == (0, 0, 0)
assert m3._get_tuple_index(1) == (0, 0, 1)
assert m3._get_tuple_index(4) == (0, 1, 0)
assert m3._get_tuple_index(12) == (1, 0, 0)
assert (
str(m3)
== "[[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]]"
)
m3_rebuilt = MutableDenseNDimArray(
[[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]], [[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]]]
)
assert m3 == m3_rebuilt
m3_other = MutableDenseNDimArray(
[
[[10, 11, 12, 13], [14, 15, 16, 17], [18, 19, 20, 21]],
[[22, 23, 24, 25], [26, 27, 28, 29], [30, 31, 32, 33]],
],
(2, 3, 4),
)
assert m3 == m3_other
def test_ndim_array_initiation():
arr_with_one_element = MutableDenseNDimArray([23])
assert len(arr_with_one_element) == 1
assert arr_with_one_element[0] == 23
assert arr_with_one_element.rank() == 1
raises(ValueError, lambda: arr_with_one_element[1])
arr_with_symbol_element = MutableDenseNDimArray([Symbol('x')])
assert len(arr_with_symbol_element) == 1
assert arr_with_symbol_element[0] == Symbol('x')
assert arr_with_symbol_element.rank() == 1
number5 = 5
vector = MutableDenseNDimArray.zeros(number5)
assert len(vector) == number5
assert vector.shape == (number5,)
assert vector.rank() == 1
raises(ValueError, lambda: arr_with_one_element[5])
vector = MutableSparseNDimArray.zeros(number5)
assert len(vector) == number5
assert vector.shape == (number5,)
assert vector._sparse_array == {}
assert vector.rank() == 1
n_dim_array = MutableDenseNDimArray(range(3**4), (3, 3, 3, 3,))
assert len(n_dim_array) == 3 * 3 * 3 * 3
assert n_dim_array.shape == (3, 3, 3, 3)
assert n_dim_array.rank() == 4
raises(ValueError, lambda: n_dim_array[0, 0, 0, 3])
raises(ValueError, lambda: n_dim_array[3, 0, 0, 0])
raises(ValueError, lambda: n_dim_array[3**4])
array_shape = (3, 3, 3, 3)
sparse_array = MutableSparseNDimArray.zeros(*array_shape)
assert len(sparse_array._sparse_array) == 0
assert len(sparse_array) == 3 * 3 * 3 * 3
assert n_dim_array.shape == array_shape
assert n_dim_array.rank() == 4
one_dim_array = MutableDenseNDimArray([2, 3, 1])
assert len(one_dim_array) == 3
assert one_dim_array.shape == (3,)
assert one_dim_array.rank() == 1
assert one_dim_array.tolist() == [2, 3, 1]
shape = (3, 3)
array_with_many_args = MutableSparseNDimArray.zeros(*shape)
assert len(array_with_many_args) == 3 * 3
assert array_with_many_args.shape == shape
assert array_with_many_args[0, 0] == 0
assert array_with_many_args.rank() == 2
def test_ndim_array_initiation():
arr_with_one_element = MutableDenseNDimArray([23])
assert len(arr_with_one_element) == 1
assert arr_with_one_element[0] == 23
assert arr_with_one_element.rank() == 1
raises(ValueError, lambda: arr_with_one_element[1])
arr_with_symbol_element = MutableDenseNDimArray([Symbol('x')])
assert len(arr_with_symbol_element) == 1
assert arr_with_symbol_element[0] == Symbol('x')
assert arr_with_symbol_element.rank() == 1
number5 = 5
vector = MutableDenseNDimArray.zeros(number5)
assert len(vector) == number5
assert vector.shape == (number5, )
assert vector.rank() == 1
raises(ValueError, lambda: arr_with_one_element[5])
vector = MutableSparseNDimArray.zeros(number5)
assert len(vector) == number5
assert vector.shape == (number5, )
assert vector._sparse_array == {}
assert vector.rank() == 1
n_dim_array = MutableDenseNDimArray(range(3**4), (
3,
3,
3,
3,
))
assert len(n_dim_array) == 3 * 3 * 3 * 3
assert n_dim_array.shape == (3, 3, 3, 3)
assert n_dim_array.rank() == 4
raises(ValueError, lambda: n_dim_array[0, 0, 0, 3])
raises(ValueError, lambda: n_dim_array[3, 0, 0, 0])
raises(ValueError, lambda: n_dim_array[3**4])
array_shape = (3, 3, 3, 3)
sparse_array = MutableSparseNDimArray.zeros(*array_shape)
assert len(sparse_array._sparse_array) == 0
assert len(sparse_array) == 3 * 3 * 3 * 3
assert n_dim_array.shape == array_shape
assert n_dim_array.rank() == 4
one_dim_array = MutableDenseNDimArray([2, 3, 1])
assert len(one_dim_array) == 3
assert one_dim_array.shape == (3, )
assert one_dim_array.rank() == 1
assert one_dim_array.tolist() == [2, 3, 1]
shape = (3, 3)
array_with_many_args = MutableSparseNDimArray.zeros(*shape)
assert len(array_with_many_args) == 3 * 3
assert array_with_many_args.shape == shape
assert array_with_many_args[0, 0] == 0
assert array_with_many_args.rank() == 2
shape = (long(3), long(3))
array_with_long_shape = MutableSparseNDimArray.zeros(*shape)
assert len(array_with_long_shape) == 3 * 3
assert array_with_long_shape.shape == shape
assert array_with_long_shape[long(0), long(0)] == 0
assert array_with_long_shape.rank() == 2
vector_with_long_shape = MutableDenseNDimArray(range(5), long(5))
assert len(vector_with_long_shape) == 5
assert vector_with_long_shape.shape == (long(5), )
assert vector_with_long_shape.rank() == 1
raises(ValueError, lambda: vector_with_long_shape[long(5)])
from sympy.abc import x
for ArrayType in [MutableDenseNDimArray, MutableSparseNDimArray]:
rank_zero_array = ArrayType(x)
assert len(rank_zero_array) == 1
assert rank_zero_array.shape == ()
assert rank_zero_array.rank() == 0
assert rank_zero_array[()] == x
raises(ValueError, lambda: rank_zero_array[0])
