Python numpy.gcd() Examples

The following are 30 code examples for showing how to use numpy.gcd(). 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_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 2
Project: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 3
Project: trax   Author: google   File: math_ops.py    License: Apache License 2.0 6 votes vote down vote up 
def _tf_gcd(x1, x2):
  def _gcd_cond_fn(x1, x2):
    return tf.reduce_any(x2 != 0)
  def _gcd_body_fn(x1, x2):
    # tf.math.mod will raise an error when any element of x2 is 0. To avoid
    # that, we change those zeros to ones. Their values don't matter because
    # they won't be used.
    x2_safe = tf.where(x2 != 0, x2, tf.constant(1, x2.dtype))
    x1, x2 = (tf.where(x2 != 0, x2, x1),
              tf.where(x2 != 0, tf.math.mod(x1, x2_safe),
                       tf.constant(0, x2.dtype)))
    return (tf.where(x1 < x2, x2, x1), tf.where(x1 < x2, x1, x2))
  if (not np.issubdtype(x1.dtype.as_numpy_dtype, np.integer) or
      not np.issubdtype(x2.dtype.as_numpy_dtype, np.integer)):
    raise ValueError("Arguments to gcd must be integers.")
  shape = tf.broadcast_static_shape(x1.shape, x2.shape)
  x1 = tf.broadcast_to(x1, shape)
  x2 = tf.broadcast_to(x2, shape)
  gcd, _ = tf.while_loop(_gcd_cond_fn, _gcd_body_fn,
                         (tf.math.abs(x1), tf.math.abs(x2)))
  return gcd
Example 4
Project: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 5
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_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 6
Project: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 7
Project: coffeegrindsize   Author: jgagneastro   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 8
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_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
Example 9
Project: twitter-stock-recommendation   Author: alvarobartt   File: test_umath.py    License: MIT License 6 votes vote down vote up 
def _test_gcd_inner(self, dtype):
        # basic use
        a = np.array([12, 120], dtype=dtype)
        b = np.array([20, 200], dtype=dtype)
        assert_equal(np.gcd(a, b), [4, 40])

        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.gcd(a, b), [4]*4)

        # reduce
        a = np.array([15, 25, 35], dtype=dtype)
        assert_equal(np.gcd.reduce(a), 5)

        # broadcasting, and a test including 0
        a = np.arange(6).astype(dtype)
        b = 20
        assert_equal(np.gcd(a, b), [20,  1,  2,  1,  4,  5])
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: recruit   Author: Frank-qlu   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_builtin_long(self):
        # sanity check that array coercion is alright for builtin longs
        assert_equal(np.array(2**200).item(), 2**200)

        # expressed as prime factors
        a = np.array(2**100 * 3**5)
        b = np.array([2**100 * 5**7, 2**50 * 3**10])
        assert_equal(np.gcd(a, b), [2**100,               2**50 * 3**5])
        assert_equal(np.lcm(a, b), [2**100 * 3**5 * 5**7, 2**100 * 3**10])

        assert_equal(np.gcd(2**100, 3**100), 1)
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: Mastering-Elasticsearch-7.0   Author: PacktPublishing   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_builtin_long(self):
        # sanity check that array coercion is alright for builtin longs
        assert_equal(np.array(2**200).item(), 2**200)

        # expressed as prime factors
        a = np.array(2**100 * 3**5)
        b = np.array([2**100 * 5**7, 2**50 * 3**10])
        assert_equal(np.gcd(a, b), [2**100,               2**50 * 3**5])
        assert_equal(np.lcm(a, b), [2**100 * 3**5 * 5**7, 2**100 * 3**10])

        assert_equal(np.gcd(2**100, 3**100), 1)
Example 18
Project: trax   Author: google   File: math_ops.py    License: Apache License 2.0 5 votes vote down vote up 
def gcd(x1, x2):
  return _bin_op(_tf_gcd, x1, x2)
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: GraphicDesignPatternByPython   Author: Relph1119   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_builtin_long(self):
        # sanity check that array coercion is alright for builtin longs
        assert_equal(np.array(2**200).item(), 2**200)

        # expressed as prime factors
        a = np.array(2**100 * 3**5)
        b = np.array([2**100 * 5**7, 2**50 * 3**10])
        assert_equal(np.gcd(a, b), [2**100,               2**50 * 3**5])
        assert_equal(np.lcm(a, b), [2**100 * 3**5 * 5**7, 2**100 * 3**10])

        assert_equal(np.gcd(2**100, 3**100), 1)
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: predictive-maintenance-using-machine-learning   Author: awslabs   File: test_umath.py    License: Apache License 2.0 5 votes vote down vote up 
def test_builtin_long(self):
        # sanity check that array coercion is alright for builtin longs
        assert_equal(np.array(2**200).item(), 2**200)

        # expressed as prime factors
        a = np.array(2**100 * 3**5)
        b = np.array([2**100 * 5**7, 2**50 * 3**10])
        assert_equal(np.gcd(a, b), [2**100,               2**50 * 3**5])
        assert_equal(np.lcm(a, b), [2**100 * 3**5 * 5**7, 2**100 * 3**10])

        assert_equal(np.gcd(2**100, 3**100), 1)
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: pySINDy   Author: luckystarufo   File: test_umath.py    License: MIT License 5 votes vote down vote up 
def test_builtin_long(self):
        # sanity check that array coercion is alright for builtin longs
        assert_equal(np.array(2**200).item(), 2**200)

        # expressed as prime factors
        a = np.array(2**100 * 3**5)
        b = np.array([2**100 * 5**7, 2**50 * 3**10])
        assert_equal(np.gcd(a, b), [2**100,               2**50 * 3**5])
        assert_equal(np.lcm(a, b), [2**100 * 3**5 * 5**7, 2**100 * 3**10])

        assert_equal(np.gcd(2**100, 3**100), 1)