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Python ImmutableDenseNDimArray.tolist方法代码示例

本文整理汇总了Python中sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray.tolist方法的典型用法代码示例。如果您正苦于以下问题：Python ImmutableDenseNDimArray.tolist方法的具体用法？Python ImmutableDenseNDimArray.tolist怎么用？Python ImmutableDenseNDimArray.tolist使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray的用法示例。


在下文中一共展示了ImmutableDenseNDimArray.tolist方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: test_converting_functions

# 需要导入模块: from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray [as 别名]
# 或者: from sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray import tolist [as 别名]
def test_converting_functions():
    arr_list = [1, 2, 3, 4]
    arr_matrix = Matrix(((1, 2), (3, 4)))

    # list
    arr_ndim_array = ImmutableDenseNDimArray(arr_list, (2, 2))
    assert (isinstance(arr_ndim_array, ImmutableDenseNDimArray))
    assert arr_matrix.tolist() == arr_ndim_array.tolist()

    # Matrix
    arr_ndim_array = ImmutableDenseNDimArray(arr_matrix)
    assert (isinstance(arr_ndim_array, ImmutableDenseNDimArray))
    assert arr_matrix.tolist() == arr_ndim_array.tolist()
    assert arr_matrix.shape == arr_ndim_array.shape
开发者ID:asmeurer，项目名称:sympy，代码行数:16，代码来源:test_immutable_ndim_array.py

示例2: test_ndim_array_converting

# 需要导入模块: from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray [as 别名]
# 或者: from sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray import tolist [as 别名]
def test_ndim_array_converting():
    dense_array = ImmutableDenseNDimArray([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 ImmutableDenseNDimArray(matrix) == dense_array
    assert ImmutableDenseNDimArray(matrix.as_immutable()) == dense_array
    assert ImmutableDenseNDimArray(matrix.as_mutable()) == dense_array

    sparse_array = ImmutableSparseNDimArray([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 ImmutableSparseNDimArray(matrix) == sparse_array
    assert ImmutableSparseNDimArray(matrix.as_immutable()) == sparse_array
    assert ImmutableSparseNDimArray(matrix.as_mutable()) == sparse_array
开发者ID:asmeurer，项目名称:sympy，代码行数:34，代码来源:test_immutable_ndim_array.py

示例3: test_ndim_array_initiation

# 需要导入模块: from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray [as 别名]
# 或者: from sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray import tolist [as 别名]
def test_ndim_array_initiation():
    arr_with_one_element = ImmutableDenseNDimArray([23])
    assert len(arr_with_one_element) == 1
    assert arr_with_one_element[0] == 23
    assert arr_with_one_element[:] == [23]
    assert arr_with_one_element.rank() == 1

    arr_with_symbol_element = ImmutableDenseNDimArray([Symbol('x')])
    assert len(arr_with_symbol_element) == 1
    assert arr_with_symbol_element[0] == Symbol('x')
    assert arr_with_symbol_element[:] == [Symbol('x')]
    assert arr_with_symbol_element.rank() == 1

    number5 = 5
    vector = ImmutableDenseNDimArray.zeros(number5)
    assert len(vector) == number5
    assert vector.shape == (number5,)
    assert vector.rank() == 1

    vector = ImmutableSparseNDimArray.zeros(number5)
    assert len(vector) == number5
    assert vector.shape == (number5,)
    assert vector._sparse_array == Dict()
    assert vector.rank() == 1

    n_dim_array = ImmutableDenseNDimArray(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

    array_shape = (3, 3, 3, 3)
    sparse_array = ImmutableSparseNDimArray.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 = ImmutableDenseNDimArray([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 = ImmutableSparseNDimArray.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
开发者ID:arghdos，项目名称:sympy，代码行数:51，代码来源:test_immutable_ndim_array.py

示例4: test_higher_dimenions

# 需要导入模块: from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray [as 别名]
# 或者: from sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray import tolist [as 别名]
def test_higher_dimenions():
    m3 = ImmutableDenseNDimArray(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 = ImmutableDenseNDimArray([[[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 = ImmutableDenseNDimArray([[[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
开发者ID:asmeurer，项目名称:sympy，代码行数:26，代码来源:test_immutable_ndim_array.py

示例5: test_ndim_array_initiation

# 需要导入模块: from sympy.tensor.array.dense_ndim_array import ImmutableDenseNDimArray [as 别名]
# 或者: from sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray import tolist [as 别名]
def test_ndim_array_initiation():
    arr_with_no_elements = ImmutableDenseNDimArray([], shape=(0,))
    assert len(arr_with_no_elements) == 0
    assert arr_with_no_elements.rank() == 1

    raises(ValueError, lambda: ImmutableDenseNDimArray([0], shape=(0,)))
    raises(ValueError, lambda: ImmutableDenseNDimArray([1, 2, 3], shape=(0,)))
    raises(ValueError, lambda: ImmutableDenseNDimArray([], shape=()))

    raises(ValueError, lambda: ImmutableSparseNDimArray([0], shape=(0,)))
    raises(ValueError, lambda: ImmutableSparseNDimArray([1, 2, 3], shape=(0,)))
    raises(ValueError, lambda: ImmutableSparseNDimArray([], shape=()))

    arr_with_one_element = ImmutableDenseNDimArray([23])
    assert len(arr_with_one_element) == 1
    assert arr_with_one_element[0] == 23
    assert arr_with_one_element[:] == [23]
    assert arr_with_one_element.rank() == 1

    arr_with_symbol_element = ImmutableDenseNDimArray([Symbol('x')])
    assert len(arr_with_symbol_element) == 1
    assert arr_with_symbol_element[0] == Symbol('x')
    assert arr_with_symbol_element[:] == [Symbol('x')]
    assert arr_with_symbol_element.rank() == 1

    number5 = 5
    vector = ImmutableDenseNDimArray.zeros(number5)
    assert len(vector) == number5
    assert vector.shape == (number5,)
    assert vector.rank() == 1

    vector = ImmutableSparseNDimArray.zeros(number5)
    assert len(vector) == number5
    assert vector.shape == (number5,)
    assert vector._sparse_array == Dict()
    assert vector.rank() == 1

    n_dim_array = ImmutableDenseNDimArray(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

    array_shape = (3, 3, 3, 3)
    sparse_array = ImmutableSparseNDimArray.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 = ImmutableDenseNDimArray([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 = ImmutableSparseNDimArray.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 = ImmutableSparseNDimArray.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 = ImmutableDenseNDimArray(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
    rank_zero_array = ImmutableDenseNDimArray(x)
    assert len(rank_zero_array) == 1
    assert rank_zero_array.shape == ()
    assert rank_zero_array.rank() == 0
    assert rank_zero_array[()] == x
    assert rank_zero_array[0] == x
开发者ID:asmeurer，项目名称:sympy，代码行数:84，代码来源:test_immutable_ndim_array.py


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