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Python ImmutableDenseNDimArray.zeros方法代码示例

本文整理汇总了Python中sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray.zeros方法的典型用法代码示例。如果您正苦于以下问题:Python ImmutableDenseNDimArray.zeros方法的具体用法?Python ImmutableDenseNDimArray.zeros怎么用?Python ImmutableDenseNDimArray.zeros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sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray的用法示例。


在下文中一共展示了ImmutableDenseNDimArray.zeros方法的3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_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 zeros [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2: test_zeros_without_shape

# 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 zeros [as 别名]
def test_zeros_without_shape():
    arr = ImmutableDenseNDimArray.zeros()
    assert arr == ImmutableDenseNDimArray(0)
开发者ID:asmeurer,项目名称:sympy,代码行数:5,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 zeros [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


注:本文中的sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray.zeros方法示例由纯净天空整理自Github/MSDocs等开源代码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。