Python numpy.polynomial.polyutils.mapdomain() Examples

The following are 15 code examples of numpy.polynomial.polyutils.mapdomain(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module numpy.polynomial.polyutils , or try the search function .
Example #1
Source File: test_polyutils.py    From recruit with Apache License 2.0 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #2
Source File: test_polyutils.py    From auto-alt-text-lambda-api with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))
Example #3
Source File: test_polyutils.py    From vnpy_crypto with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))
Example #4
Source File: test_polyutils.py    From Computable with MIT License 5 votes vote down vote up 
def test_mapdomain(self) :
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))
Example #5
Source File: test_polyutils.py    From Mastering-Elasticsearch-7.0 with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #6
Source File: test_polyutils.py    From GraphicDesignPatternByPython with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #7
Source File: test_polyutils.py    From predictive-maintenance-using-machine-learning with Apache License 2.0 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #8
Source File: test_polyutils.py    From pySINDy with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #9
Source File: test_polyutils.py    From mxnet-lambda with Apache License 2.0 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))
Example #10
Source File: test_polyutils.py    From ImageFusion with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))
Example #11
Source File: test_polyutils.py    From elasticintel with GNU General Public License v3.0 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))
Example #12
Source File: test_polyutils.py    From coffeegrindsize with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #13
Source File: test_polyutils.py    From Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #14
Source File: test_polyutils.py    From twitter-stock-recommendation with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu.mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        class MyNDArray(np.ndarray):
            pass

        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.array([dom1, dom1]).view(MyNDArray)
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, MyNDArray))
Example #15
Source File: test_polyutils.py    From keras-lambda with MIT License 5 votes vote down vote up 
def test_mapdomain(self):
        # test for real values
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = dom2
        res = pu. mapdomain(dom1, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for complex values
        dom1 = [0 - 1j, 2 + 1j]
        dom2 = [-2, 2]
        tgt = dom2
        x = dom1
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test for multidimensional arrays
        dom1 = [0, 4]
        dom2 = [1, 3]
        tgt = np.array([dom2, dom2])
        x = np.array([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_almost_equal(res, tgt)

        # test that subtypes are preserved.
        dom1 = [0, 4]
        dom2 = [1, 3]
        x = np.matrix([dom1, dom1])
        res = pu.mapdomain(x, dom1, dom2)
        assert_(isinstance(res, np.matrix))