Python numpy.nested_iters() Examples
The following are 30
code examples of numpy.nested_iters().
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Example #1
Source File: test_nditer.py From Mastering-Elasticsearch-7.0 with MIT License | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [list(j) for _ in i] assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [list(j) for _ in i] assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #2
Source File: test_nditer.py From pySINDy with MIT License | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #3
Source File: test_nditer.py From auto-alt-text-lambda-api with MIT License | 6 votes |
def test_iter_nested_iters_broadcast(): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #4
Source File: test_nditer.py From auto-alt-text-lambda-api with MIT License | 6 votes |
def test_0d_nested_iter(): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #5
Source File: test_nditer.py From vnpy_crypto with MIT License | 6 votes |
def test_basic(self): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #6
Source File: test_nditer.py From mxnet-lambda with Apache License 2.0 | 6 votes |
def test_iter_nested_iters_basic(): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #7
Source File: test_nditer.py From ImageFusion with MIT License | 6 votes |
def test_iter_nested_iters_basic(): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #8
Source File: test_nditer.py From auto-alt-text-lambda-api with MIT License | 6 votes |
def test_iter_nested_iters_basic(): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #9
Source File: test_nditer.py From pySINDy with MIT License | 6 votes |
def test_broadcast(self): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #10
Source File: test_nditer.py From recruit with Apache License 2.0 | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [list(j) for _ in i] assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [list(j) for _ in i] assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #11
Source File: test_nditer.py From coffeegrindsize with MIT License | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [list(j) for _ in i] assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [list(j) for _ in i] assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #12
Source File: test_nditer.py From pySINDy with MIT License | 6 votes |
def test_basic(self): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #13
Source File: test_nditer.py From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License | 6 votes |
def test_basic(self): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #14
Source File: test_nditer.py From mxnet-lambda with Apache License 2.0 | 6 votes |
def test_0d_nested_iter(): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #15
Source File: test_nditer.py From predictive-maintenance-using-machine-learning with Apache License 2.0 | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [list(j) for _ in i] assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [list(j) for _ in i] assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #16
Source File: test_nditer.py From vnpy_crypto with MIT License | 6 votes |
def test_broadcast(self): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #17
Source File: test_nditer.py From GraphicDesignPatternByPython with MIT License | 6 votes |
def test_basic(self): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #18
Source File: test_nditer.py From vnpy_crypto with MIT License | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #19
Source File: test_nditer.py From Computable with MIT License | 6 votes |
def test_iter_nested_iters_basic(): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #20
Source File: test_nditer.py From elasticintel with GNU General Public License v3.0 | 6 votes |
def test_iter_nested_iters_broadcast(): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #21
Source File: test_nditer.py From GraphicDesignPatternByPython with MIT License | 6 votes |
def test_broadcast(self): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #22
Source File: test_nditer.py From Computable with MIT License | 6 votes |
def test_iter_nested_iters_broadcast(): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #23
Source File: test_nditer.py From mxnet-lambda with Apache License 2.0 | 6 votes |
def test_iter_nested_iters_broadcast(): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #24
Source File: test_nditer.py From Computable with MIT License | 6 votes |
def test_0d_nested_iter(): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #25
Source File: test_nditer.py From elasticintel with GNU General Public License v3.0 | 6 votes |
def test_iter_nested_iters_basic(): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[0], [1, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[0, 1], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[0, 2], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #26
Source File: test_nditer.py From ImageFusion with MIT License | 6 votes |
def test_0d_nested_iter(): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #27
Source File: test_nditer.py From GraphicDesignPatternByPython with MIT License | 6 votes |
def test_0d(self): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #28
Source File: test_nditer.py From ImageFusion with MIT License | 6 votes |
def test_iter_nested_iters_broadcast(): # Test nested iteration with broadcasting a = arange(2).reshape(2, 1) b = arange(3).reshape(1, 3) i, j = np.nested_iters([a, b], [[0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [0, 1], [0, 2]], [[1, 0], [1, 1], [1, 2]]]) i, j = np.nested_iters([a, b], [[1], [0]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[[0, 0], [1, 0]], [[0, 1], [1, 1]], [[0, 2], [1, 2]]])
Example #29
Source File: test_nditer.py From elasticintel with GNU General Public License v3.0 | 6 votes |
def test_0d_nested_iter(): a = np.arange(12).reshape(2, 3, 2) i, j = np.nested_iters(a, [[], [1, 0, 2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0, 2], []]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0], [1], [2], [3], [4], [5], [6], [7], [8], [9], [10], [11]]) i, j, k = np.nested_iters(a, [[2, 0], [], [1]]) vals = [] for x in i: for y in j: vals.append([z for z in k]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]])
Example #30
Source File: test_nditer.py From mxnet-lambda with Apache License 2.0 | 5 votes |
def test_iter_nested_iters_reorder(): # Test nested iteration basic usage a = arange(12).reshape(2, 3, 2) # In 'K' order (default), it gets reordered i, j = np.nested_iters(a, [[0], [2, 1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1, 2, 3, 4, 5], [6, 7, 8, 9, 10, 11]]) i, j = np.nested_iters(a, [[1, 0], [2]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [2, 3], [4, 5], [6, 7], [8, 9], [10, 11]]) i, j = np.nested_iters(a, [[2, 0], [1]]) vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [1, 3, 5], [6, 8, 10], [7, 9, 11]]) # In 'C' order, it doesn't i, j = np.nested_iters(a, [[0], [2, 1]], order='C') vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4, 1, 3, 5], [6, 8, 10, 7, 9, 11]]) i, j = np.nested_iters(a, [[1, 0], [2]], order='C') vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 1], [6, 7], [2, 3], [8, 9], [4, 5], [10, 11]]) i, j = np.nested_iters(a, [[2, 0], [1]], order='C') vals = [] for x in i: vals.append([y for y in j]) assert_equal(vals, [[0, 2, 4], [6, 8, 10], [1, 3, 5], [7, 9, 11]])