本文整理汇总了Python中sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray类的典型用法代码示例。如果您正苦于以下问题：Python ImmutableDenseNDimArray类的具体用法？Python ImmutableDenseNDimArray怎么用？Python ImmutableDenseNDimArray使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了ImmutableDenseNDimArray类的10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，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: test_ndim_array_converting
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:32，代码来源:test_immutable_ndim_array.py
示例2: test_reshape
def test_reshape():
array = ImmutableDenseNDimArray(range(50), 50)
assert array.shape == (50,)
assert array.rank() == 1
array = array.reshape(5, 5, 2)
assert array.shape == (5, 5, 2)
assert array.rank() == 3
assert len(array) == 50
开发者ID:asmeurer，项目名称:sympy，代码行数:9，代码来源:test_immutable_ndim_array.py
示例3: test_iterator
def test_iterator():
array = ImmutableDenseNDimArray(range(4), (2, 2))
j = 0
for i in array:
assert i == j
j += 1
array = array.reshape(4)
j = 0
for i in array:
assert i == j
j += 1
开发者ID:asmeurer，项目名称:sympy，代码行数:12，代码来源:test_immutable_ndim_array.py
示例4: test_converting_functions
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:14，代码来源:test_immutable_ndim_array.py
示例5: test_diff_and_applyfunc
def test_diff_and_applyfunc():
from sympy.abc import x, y, z
md = ImmutableDenseNDimArray([[x, y], [x*z, x*y*z]])
assert md.diff(x) == ImmutableDenseNDimArray([[1, 0], [z, y*z]])
sd = ImmutableSparseNDimArray(md)
assert sd == ImmutableSparseNDimArray([x, y, x*z, x*y*z], (2, 2))
assert sd.diff(x) == ImmutableSparseNDimArray([[1, 0], [z, y*z]])
mdn = md.applyfunc(lambda x: x*3)
assert mdn == ImmutableDenseNDimArray([[3*x, 3*y], [3*x*z, 3*x*y*z]])
assert md != mdn
sdn = sd.applyfunc(lambda x: x/2)
assert sdn == ImmutableSparseNDimArray([[x/2, y/2], [x*z/2, x*y*z/2]])
assert sd != sdn
开发者ID:mvnnn，项目名称:sympy，代码行数:16，代码来源:test_immutable_ndim_array.py
示例6: test_higher_dimenions
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:24，代码来源:test_immutable_ndim_array.py
示例7: test_zeros_without_shape
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:3，代码来源:test_immutable_ndim_array.py
示例8: test_rebuild_immutable_arrays
def test_rebuild_immutable_arrays():
sparr = ImmutableSparseNDimArray(range(10, 34), (2, 3, 4))
densarr = ImmutableDenseNDimArray(range(10, 34), (2, 3, 4))
assert sparr == sparr.func(*sparr.args)
assert densarr == densarr.func(*densarr.args)
开发者ID:asmeurer，项目名称:sympy，代码行数:6，代码来源:test_immutable_ndim_array.py
示例9: test_ndim_array_initiation
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:82，代码来源:test_immutable_ndim_array.py
示例10: test_ndim_array_initiation
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:49，代码来源:test_immutable_ndim_array.py
注：本文中的sympy.tensor.array.dense_ndim_array.ImmutableDenseNDimArray类示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，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。 |
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