Python numpy.lcm() Examples

The following are 30 code examples for showing how to use numpy.lcm(). These examples are extracted from open source projects. 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.

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Example 1
Project: recruit   Author: Frank-qlu   File: test_umath.py    License: Apache License 2.0 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 2
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 3
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 4
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_umath.py    License: Apache License 2.0 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 5
Project: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 6
Project: coffeegrindsize   Author: jgagneastro   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 7
Project: Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda   Author: PacktPublishing   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 8
Project: twitter-stock-recommendation   Author: alvarobartt   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_lcm_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.lcm(a, b), [60, 600])

        if not issubclass(dtype, np.unsignedinteger):
            # negatives are ignored
            a = np.array([12, -12,  12, -12], dtype=dtype)
            b = np.array([20,  20, -20, -20], dtype=dtype)
            assert_equal(np.lcm(a, b), [60]*4)

        # reduce
        a = np.array([3, 12, 20], dtype=dtype)
        assert_equal(np.lcm.reduce([3, 12, 20]), 60)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.lcm(a, b), [0, 20, 20, 60, 20, 20])
Example 9
Project: recruit   Author: Frank-qlu   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_lcm_overflow(self):
        # verify that we don't overflow when a*b does overflow
        big = np.int32(np.iinfo(np.int32).max // 11)
        a = 2*big
        b = 5*big
        assert_equal(np.lcm(a, b), 10*big)
Example 10
Project: recruit   Author: Frank-qlu   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_gcd_overflow(self):
        for dtype in (np.int32, np.int64):
            # verify that we don't overflow when taking abs(x)
            # not relevant for lcm, where the result is unrepresentable anyway
            a = dtype(np.iinfo(dtype).min)  # negative power of two
            q = -(a // 4)
            assert_equal(np.gcd(a,  q*3), q)
            assert_equal(np.gcd(a, -q*3), q)
Example 11
Project: recruit   Author: Frank-qlu   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_decimal(self):
        from decimal import Decimal
        a = np.array([1,  1, -1, -1]) * Decimal('0.20')
        b = np.array([1, -1,  1, -1]) * Decimal('0.12')

        assert_equal(np.gcd(a, b), 4*[Decimal('0.04')])
        assert_equal(np.lcm(a, b), 4*[Decimal('0.60')])
Example 12
Project: recruit   Author: Frank-qlu   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_float(self):
        # not well-defined on float due to rounding errors
        assert_raises(TypeError, np.gcd, 0.3, 0.4)
        assert_raises(TypeError, np.lcm, 0.3, 0.4)
Example 13
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_lcm_overflow(self):
        # verify that we don't overflow when a*b does overflow
        big = np.int32(np.iinfo(np.int32).max // 11)
        a = 2*big
        b = 5*big
        assert_equal(np.lcm(a, b), 10*big)
Example 14
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_gcd_overflow(self):
        for dtype in (np.int32, np.int64):
            # verify that we don't overflow when taking abs(x)
            # not relevant for lcm, where the result is unrepresentable anyway
            a = dtype(np.iinfo(dtype).min)  # negative power of two
            q = -(a // 4)
            assert_equal(np.gcd(a,  q*3), q)
            assert_equal(np.gcd(a, -q*3), q)
Example 15
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_decimal(self):
        from decimal import Decimal
        a = np.array([1,  1, -1, -1]) * Decimal('0.20')
        b = np.array([1, -1,  1, -1]) * Decimal('0.12')

        assert_equal(np.gcd(a, b), 4*[Decimal('0.04')])
        assert_equal(np.lcm(a, b), 4*[Decimal('0.60')])
Example 16
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_float(self):
        # not well-defined on float due to rounding errors
        assert_raises(TypeError, np.gcd, 0.3, 0.4)
        assert_raises(TypeError, np.lcm, 0.3, 0.4)
Example 17
Project: trax   Author: google   File: math_ops.py    License: Apache License 2.0 5 votes vote down vote up 
def lcm(x1, x2):
  def f(x1, x2):
    d = _tf_gcd(x1, x2)
    # Same as the `x2_safe` trick above
    d_safe = tf.where(d == 0, tf.constant(1, d.dtype), d)
    return tf.where(d == 0, tf.constant(0, d.dtype),
                    tf.math.abs(x1 * x2) // d_safe)
  return _bin_op(f, x1, x2)
Example 18
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_lcm_overflow(self):
        # verify that we don't overflow when a*b does overflow
        big = np.int32(np.iinfo(np.int32).max // 11)
        a = 2*big
        b = 5*big
        assert_equal(np.lcm(a, b), 10*big)
Example 19
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_gcd_overflow(self):
        for dtype in (np.int32, np.int64):
            # verify that we don't overflow when taking abs(x)
            # not relevant for lcm, where the result is unrepresentable anyway
            a = dtype(np.iinfo(dtype).min)  # negative power of two
            q = -(a // 4)
            assert_equal(np.gcd(a,  q*3), q)
            assert_equal(np.gcd(a, -q*3), q)
Example 20
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_decimal(self):
        from decimal import Decimal
        a = np.array([1,  1, -1, -1]) * Decimal('0.20')
        b = np.array([1, -1,  1, -1]) * Decimal('0.12')

        assert_equal(np.gcd(a, b), 4*[Decimal('0.04')])
        assert_equal(np.lcm(a, b), 4*[Decimal('0.60')])
Example 21
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_float(self):
        # not well-defined on float due to rounding errors
        assert_raises(TypeError, np.gcd, 0.3, 0.4)
        assert_raises(TypeError, np.lcm, 0.3, 0.4)
Example 22
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_lcm_overflow(self):
        # verify that we don't overflow when a*b does overflow
        big = np.int32(np.iinfo(np.int32).max // 11)
        a = 2*big
        b = 5*big
        assert_equal(np.lcm(a, b), 10*big)
Example 23
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_gcd_overflow(self):
        for dtype in (np.int32, np.int64):
            # verify that we don't overflow when taking abs(x)
            # not relevant for lcm, where the result is unrepresentable anyway
            a = dtype(np.iinfo(dtype).min)  # negative power of two
            q = -(a // 4)
            assert_equal(np.gcd(a,  q*3), q)
            assert_equal(np.gcd(a, -q*3), q)
Example 24
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_decimal(self):
        from decimal import Decimal
        a = np.array([1,  1, -1, -1]) * Decimal('0.20')
        b = np.array([1, -1,  1, -1]) * Decimal('0.12')

        assert_equal(np.gcd(a, b), 4*[Decimal('0.04')])
        assert_equal(np.lcm(a, b), 4*[Decimal('0.60')])
Example 25
Project: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_float(self):
        # not well-defined on float due to rounding errors
        assert_raises(TypeError, np.gcd, 0.3, 0.4)
        assert_raises(TypeError, np.lcm, 0.3, 0.4)
Example 26
Project: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_lcm_overflow(self):
        # verify that we don't overflow when a*b does overflow
        big = np.int32(np.iinfo(np.int32).max // 11)
        a = 2*big
        b = 5*big
        assert_equal(np.lcm(a, b), 10*big)
Example 27
Project: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_gcd_overflow(self):
        for dtype in (np.int32, np.int64):
            # verify that we don't overflow when taking abs(x)
            # not relevant for lcm, where the result is unrepresentable anyway
            a = dtype(np.iinfo(dtype).min)  # negative power of two
            q = -(a // 4)
            assert_equal(np.gcd(a,  q*3), q)
            assert_equal(np.gcd(a, -q*3), q)
Example 28
Project: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_decimal(self):
        from decimal import Decimal
        a = np.array([1,  1, -1, -1]) * Decimal('0.20')
        b = np.array([1, -1,  1, -1]) * Decimal('0.12')

        assert_equal(np.gcd(a, b), 4*[Decimal('0.04')])
        assert_equal(np.lcm(a, b), 4*[Decimal('0.60')])
Example 29
Project: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_float(self):
        # not well-defined on float due to rounding errors
        assert_raises(TypeError, np.gcd, 0.3, 0.4)
        assert_raises(TypeError, np.lcm, 0.3, 0.4)
Example 30
Project: coffeegrindsize   Author: jgagneastro   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_lcm_overflow(self):
        # verify that we don't overflow when a*b does overflow
        big = np.int32(np.iinfo(np.int32).max // 11)
        a = 2*big
        b = 5*big
        assert_equal(np.lcm(a, b), 10*big)