def frame_math_ops(ip, port):

    sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [[random.uniform(-10, 10) for r in range(10)] for c in range(10)]
    asin_acos_atanh_data = [[random.uniform(-1, 1) for r in range(10)] for c in range(10)]
    acosh_data = [[random.uniform(1, 10) for r in range(10)] for c in range(10)]
    abs_data = [[random.uniform(-100000, 0) for r in range(10)] for c in range(10)]
    signif_data = [[0.0000123456, 1], [2, 3]]

    h2o_data1 = h2o.H2OFrame(python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
    h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
    h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
    h2o_data5 = h2o.H2OFrame(python_obj=signif_data)

    np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    np_data2 = np.array(asin_acos_atanh_data)
    np_data3 = np.array(acosh_data)
    np_data4 = np.array(abs_data)

    for d in range(1, 6):
        h2o_signif = h2o_data5.signif(digits=d)
        h2o_round = h2o_data5.round(digits=d + 4)
        s = h2o_signif[0, 0]
        r = h2o_round[0, 0]
        assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(s, r)
    h2o_transposed = h2o_data1[0:5].transpose()
    r, c = h2o_transposed.dim
    assert r == 5 and c == 10, "Expected 5 rows and 10 columns, but got {0} rows and {1} columns".format(r, c)
    tests.np_comparison_check(h2o_transposed, np.transpose(np_data1[:, 0:5]), 10)
    tests.np_comparison_check(h2o_data1.cos(), np.cos(np_data1), 10)
    tests.np_comparison_check(h2o_data1.sin(), np.sin(np_data1), 10)
    tests.np_comparison_check(h2o_data1.tan(), np.tan(np_data1), 10)
def expr_reducers():
    
    

    data = [[random.uniform(-10000,10000) for r in range(10)] for c in range(10)]
    h2o_data_1 = h2o.H2OFrame(python_obj=data)
    np_data = np.array(data)
    row, col = h2o_data_1.dim
    h2o_data = h2o_data_1 + 2
    np_data = np_data + 2

    def check_values(h2o_data, numpy_data):
        success = True
        for i in range(10):
            r = random.randint(0,row-1)
            c = random.randint(0,col-1)
            h2o_val = h2o_data[r,c]
            num_val = numpy_data[r,c]
            if not abs(h2o_val - num_val) < 1e-06:
                success = False
                print "check unsuccessful! h2o computed {0} and numpy computed {1}".format(h2o_val,num_val)
        return success

    h2o_val = h2o_data.min()
    num_val = np.min(np_data)
    assert abs(h2o_val - num_val) < 1e-06, \
        "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal min values between h2o and " \
        "numpy".format(h2o_val,num_val)
    h2o_val = h2o_data.max()
    num_val = np.max(np_data)
    assert abs(h2o_val - num_val) < 1e-06, \
        "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal max values between h2o and " \
        "numpy".format(h2o_val,num_val)
    h2o_val = h2o_data.sum()
    num_val = np.sum(np_data)
    assert abs(h2o_val - num_val) < 1e-06, \
        "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal sum values between h2o and " \
        "numpy".format(h2o_val,num_val)
    tests.np_comparison_check(h2o_data.var(), np.cov(np_data, rowvar=0, ddof=1), 10), \
        "expected equal var values between h2o and numpy"
Esempio n. 3
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def expr_reducers():

    data = [[random.uniform(-10000, 10000) for r in range(10)]
            for c in range(10)]
    h2o_data_1 = h2o.H2OFrame(python_obj=data)
    np_data = np.array(data)
    row, col = h2o_data_1.dim
    h2o_data = h2o_data_1 + 2
    np_data = np_data + 2

    def check_values(h2o_data, numpy_data):
        success = True
        for i in range(10):
            r = random.randint(0, row - 1)
            c = random.randint(0, col - 1)
            h2o_val = h2o_data[r, c]
            num_val = numpy_data[r, c]
            if not abs(h2o_val - num_val) < 1e-06:
                success = False
                print "check unsuccessful! h2o computed {0} and numpy computed {1}".format(
                    h2o_val, num_val)
        return success

    h2o_val = h2o_data.min()
    num_val = np.min(np_data)
    assert abs(h2o_val - num_val) < 1e-06, \
        "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal min values between h2o and " \
        "numpy".format(h2o_val,num_val)
    h2o_val = h2o_data.max()
    num_val = np.max(np_data)
    assert abs(h2o_val - num_val) < 1e-06, \
        "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal max values between h2o and " \
        "numpy".format(h2o_val,num_val)
    h2o_val = h2o_data.sum()
    num_val = np.sum(np_data)
    assert abs(h2o_val - num_val) < 1e-06, \
        "check unsuccessful! h2o computed {0} and numpy computed {1}. expected equal sum values between h2o and " \
        "numpy".format(h2o_val,num_val)
    tests.np_comparison_check(h2o_data.var(), np.cov(np_data, rowvar=0, ddof=1), 10), \
        "expected equal var values between h2o and numpy"
Esempio n. 4
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def frame_math_ops():

    sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [
        [random.uniform(-10, 10) for r in range(10)] for c in range(10)
    ]
    asin_acos_atanh_data = [[random.uniform(-1, 1) for r in range(10)]
                            for c in range(10)]
    acosh_data = [[random.uniform(1, 10) for r in range(10)]
                  for c in range(10)]
    abs_data = [[random.uniform(-100000, 0) for r in range(10)]
                for c in range(10)]
    signif_data = [[0.0000123456, 1], [2, 3]]

    h2o_data1 = h2o.H2OFrame(
        python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
    h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
    h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
    h2o_data5 = h2o.H2OFrame(python_obj=signif_data)

    np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    np_data2 = np.array(asin_acos_atanh_data)
    np_data3 = np.array(acosh_data)
    np_data4 = np.array(abs_data)

    for d in range(1, 6):
        h2o_signif = h2o_data5.signif(digits=d)
        h2o_round = h2o_data5.round(digits=d + 4)
        s = h2o_signif[0, 0]
        r = h2o_round[0, 0]
        assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(
            s, r)
    h2o_transposed = h2o_data1[0:5].transpose()
    r, c = h2o_transposed.dim
    assert r == 5 and c == 10, "Expected 5 rows and 10 columns, but got {0} rows and {1} columns".format(
        r, c)
    tests.np_comparison_check(h2o_transposed, np.transpose(np_data1[:, 0:5]),
                              10)
    tests.np_comparison_check(h2o_data1.cos(), np.cos(np_data1), 10)
    tests.np_comparison_check(h2o_data1.sin(), np.sin(np_data1), 10)
    tests.np_comparison_check(h2o_data1.tan(), np.tan(np_data1), 10)
Esempio n. 5
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def expr_math_ops():
    
    

    sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [[random.uniform(-10,10) for r in range(10)] for c in range(10)]
    asin_acos_atanh_data = [[random.uniform(-1,1) for r in range(10)] for c in range(10)]
    acosh_data = [[random.uniform(1,10) for r in range(10)] for c in range(10)]
    abs_data = [[random.uniform(-100000,0) for r in range(10)] for c in range(10)]

    h2o_data1_1 = h2o.H2OFrame(python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    h2o_data2_1 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
    h2o_data3_1 = h2o.H2OFrame(python_obj=acosh_data)
    h2o_data4_1 = h2o.H2OFrame(python_obj=abs_data)

    np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    np_data2 = np.array(asin_acos_atanh_data)
    np_data3 = np.array(acosh_data)
    np_data4 = np.array(abs_data)

    h2o_data1 = h2o_data1_1 + 2
    h2o_data2 = h2o_data2_1 / 1.01
    h2o_data3 = h2o_data3_1 * 1.5
    h2o_data4 = h2o_data4_1 - 1.5

    np_data1 = np_data1 + 2
    np_data2 = np_data2 / 1.01
    np_data3 = np_data3 * 1.5
    np_data4 = np_data4 - 1.5

    tests.np_comparison_check(h2o_data1.cos(), np.cos(np_data1), 10)
    tests.np_comparison_check(h2o_data1.sin(), np.sin(np_data1), 10)
    tests.np_comparison_check(h2o_data1.tan(), np.tan(np_data1), 10)
    tests.np_comparison_check(h2o_data2.acos(), np.arccos(np_data2), 10)
    tests.np_comparison_check(h2o_data2.asin(), np.arcsin(np_data2), 10)
    tests.np_comparison_check(h2o_data1.atan(), np.arctan(np_data1), 10)
    tests.np_comparison_check(h2o_data1.cosh(), np.cosh(np_data1), 10)
    tests.np_comparison_check(h2o_data1.sinh(), np.sinh(np_data1), 10)
    tests.np_comparison_check(h2o_data1.tanh(), np.tanh(np_data1), 10)
    tests.np_comparison_check(h2o_data3.acosh(), np.arccosh(np_data3), 10)
    tests.np_comparison_check(h2o_data1.asinh(), np.arcsinh(np_data1), 10)
    tests.np_comparison_check(h2o_data2.atanh(), np.arctanh(np_data2), 10)
    tests.np_comparison_check((h2o_data2/math.pi).cospi(), np.cos(np_data2), 10)
    tests.np_comparison_check((h2o_data2/math.pi).sinpi(), np.sin(np_data2), 10)
    tests.np_comparison_check((h2o_data2/math.pi).tanpi(), np.tan(np_data2), 10)
    tests.np_comparison_check(h2o_data4.abs(), np.fabs(np_data4), 10)
    tests.np_comparison_check(h2o_data2.sign(), np.sign(np_data2), 10)
    tests.np_comparison_check(h2o_data3.sqrt(), np.sqrt(np_data3), 10)
    tests.np_comparison_check(h2o_data3.trunc(), np.trunc(np_data3), 10)
    tests.np_comparison_check(h2o_data3.ceil(), np.ceil(np_data3), 10)
    tests.np_comparison_check(h2o_data3.floor(), np.floor(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log(), np.log(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log10(), np.log10(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log1p(), np.log1p(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log2(), np.log2(np_data3), 10)
    tests.np_comparison_check(h2o_data3.exp(), np.exp(np_data3), 10)
    tests.np_comparison_check(h2o_data3.expm1(), np.expm1(np_data3), 10)
    h2o_val = h2o_data3.gamma()[5,5]
    num_val = math.gamma(h2o_data3[5,5])
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and " \
        "math".format(h2o_val,num_val)
    h2o_val = h2o_data3.lgamma()[5,5]
    num_val = math.lgamma(h2o_data3[5,5])
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
        "math".\
            format(h2o_val,num_val)
    h2o_val = h2o_data3.digamma()[5,5]
    num_val = scipy.special.polygamma(0,h2o_data3[5,5])
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
        "math"\
            .format(h2o_val,num_val)
    h2o_val = h2o_data3.trigamma()[5,5]
    num_val = float(scipy.special.polygamma(1,h2o_data3[5,5]))
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
        "math".format(h2o_val,num_val)
Esempio n. 6
0
def expr_math_ops(ip,port):
    
    

    sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [[random.uniform(-10,10) for r in range(10)] for c in range(10)]
    asin_acos_atanh_data = [[random.uniform(-1,1) for r in range(10)] for c in range(10)]
    acosh_data = [[random.uniform(1,10) for r in range(10)] for c in range(10)]
    abs_data = [[random.uniform(-100000,0) for r in range(10)] for c in range(10)]

    h2o_data1_1 = h2o.H2OFrame(python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    h2o_data2_1 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
    h2o_data3_1 = h2o.H2OFrame(python_obj=acosh_data)
    h2o_data4_1 = h2o.H2OFrame(python_obj=abs_data)

    np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    np_data2 = np.array(asin_acos_atanh_data)
    np_data3 = np.array(acosh_data)
    np_data4 = np.array(abs_data)

    h2o_data1 = h2o_data1_1 + 2
    h2o_data2 = h2o_data2_1 / 1.01
    h2o_data3 = h2o_data3_1 * 1.5
    h2o_data4 = h2o_data4_1 - 1.5

    np_data1 = np_data1 + 2
    np_data2 = np_data2 / 1.01
    np_data3 = np_data3 * 1.5
    np_data4 = np_data4 - 1.5

    tests.np_comparison_check(h2o_data1.cos(), np.cos(np_data1), 10)
    tests.np_comparison_check(h2o_data1.sin(), np.sin(np_data1), 10)
    tests.np_comparison_check(h2o_data1.tan(), np.tan(np_data1), 10)
    tests.np_comparison_check(h2o_data2.acos(), np.arccos(np_data2), 10)
    tests.np_comparison_check(h2o_data2.asin(), np.arcsin(np_data2), 10)
    tests.np_comparison_check(h2o_data1.atan(), np.arctan(np_data1), 10)
    tests.np_comparison_check(h2o_data1.cosh(), np.cosh(np_data1), 10)
    tests.np_comparison_check(h2o_data1.sinh(), np.sinh(np_data1), 10)
    tests.np_comparison_check(h2o_data1.tanh(), np.tanh(np_data1), 10)
    tests.np_comparison_check(h2o_data3.acosh(), np.arccosh(np_data3), 10)
    tests.np_comparison_check(h2o_data1.asinh(), np.arcsinh(np_data1), 10)
    tests.np_comparison_check(h2o_data2.atanh(), np.arctanh(np_data2), 10)
    tests.np_comparison_check((h2o_data2/math.pi).cospi(), np.cos(np_data2), 10)
    tests.np_comparison_check((h2o_data2/math.pi).sinpi(), np.sin(np_data2), 10)
    tests.np_comparison_check((h2o_data2/math.pi).tanpi(), np.tan(np_data2), 10)
    tests.np_comparison_check(h2o_data4.abs(), np.fabs(np_data4), 10)
    tests.np_comparison_check(h2o_data2.sign(), np.sign(np_data2), 10)
    tests.np_comparison_check(h2o_data3.sqrt(), np.sqrt(np_data3), 10)
    tests.np_comparison_check(h2o_data3.trunc(), np.trunc(np_data3), 10)
    tests.np_comparison_check(h2o_data3.ceil(), np.ceil(np_data3), 10)
    tests.np_comparison_check(h2o_data3.floor(), np.floor(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log(), np.log(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log10(), np.log10(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log1p(), np.log1p(np_data3), 10)
    tests.np_comparison_check(h2o_data3.log2(), np.log2(np_data3), 10)
    tests.np_comparison_check(h2o_data3.exp(), np.exp(np_data3), 10)
    tests.np_comparison_check(h2o_data3.expm1(), np.expm1(np_data3), 10)
    h2o_val = h2o_data3.gamma()[5,5]
    num_val = math.gamma(h2o_data3[5,5])
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and " \
        "math".format(h2o_val,num_val)
    h2o_val = h2o_data3.lgamma()[5,5]
    num_val = math.lgamma(h2o_data3[5,5])
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
        "math".\
            format(h2o_val,num_val)
    h2o_val = h2o_data3.digamma()[5,5]
    num_val = scipy.special.polygamma(0,h2o_data3[5,5])
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
        "math"\
            .format(h2o_val,num_val)
    h2o_val = h2o_data3.trigamma()[5,5]
    num_val = float(scipy.special.polygamma(1,h2o_data3[5,5]))
    assert abs(h2o_val - num_val) < max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
        "math".format(h2o_val,num_val)
Esempio n. 7
0
def vec_math_ops(ip,port):
    
    

    sin_cos_tan_atan_sinh_cosh_tanh_asinh_data = [[random.uniform(-10,10) for r in range(10)] for c in range(10)]
    asin_acos_atanh_data = [[random.uniform(-1,1) for r in range(10)] for c in range(10)]
    acosh_data = [[random.uniform(1,10) for r in range(10)] for c in range(10)]
    abs_data = [[random.uniform(-100000,0) for r in range(10)] for c in range(10)]
    zero_one_data = [random.randint(0,1) for c in range(10)]
    zero_one_data = [zero_one_data, zero_one_data]

    h2o_data1 = h2o.H2OFrame(python_obj=sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    h2o_data2 = h2o.H2OFrame(python_obj=asin_acos_atanh_data)
    h2o_data3 = h2o.H2OFrame(python_obj=acosh_data)
    h2o_data4 = h2o.H2OFrame(python_obj=abs_data)
    h2o_data5 = h2o.H2OFrame(python_obj=zero_one_data)

    np_data1 = np.array(sin_cos_tan_atan_sinh_cosh_tanh_asinh_data)
    np_data2 = np.array(asin_acos_atanh_data)
    np_data3 = np.array(acosh_data)
    np_data4 = np.array(abs_data)
    np_data5 = np.array(zero_one_data)

    row, col = h2o_data1.dim

    c = random.randint(0,col-1)
    for d in range(1,6):
        h2o_signif = h2o_data5[c].signif(digits=d)
        h2o_round = h2o_data5[c].round(digits=d+4)
        s = h2o_signif[0]
        r = h2o_round[0]
        assert s == r, "Expected these to be equal, but signif: {0}, round: {1}".format(s, r)
    h2o_transposed = h2o_data1[c].transpose()
    x, y = h2o_transposed.dim
    assert x == 1 and y == 10, "Expected 1 row and 10 columns, but got {0} rows and {1} columns".format(x,y)
    tests.np_comparison_check(h2o_data1[:,c].cos(), np.cos(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data1[:,c].sin(), np.sin(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data1[:,c].tan(), np.tan(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data2[:,c].acos(), np.arccos(np_data2[:,c]), 10)
    tests.np_comparison_check(h2o_data2[:,c].asin(), np.arcsin(np_data2[:,c]), 10)
    tests.np_comparison_check(h2o_data1[:,c].atan(), np.arctan(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data1[:,c].cosh(), np.cosh(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data1[c].sinh(), np.sinh(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data1[c].tanh(), np.tanh(np_data1[:,c]), 10)
    tests.np_comparison_check(h2o_data3[c].acosh(), np.arccosh(np_data3[:,c]), 10)
    tests.np_comparison_check(h2o_data1[c].asinh(), np.arcsinh(np_data1[:,c]), 10)
    h2o_val = h2o_data3[c].gamma()[5,:]
    num_val = math.gamma(h2o_data3[5,c])
    assert abs(h2o_val - num_val) <  max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal gamma values between h2o and" \
        "math".format(h2o_val,num_val)
    h2o_val = h2o_data3[c].lgamma()[5,:]
    num_val = math.lgamma(h2o_data3[5,c])
    assert abs(h2o_val - num_val) <  max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal lgamma values between h2o and " \
        "math".format(h2o_val,num_val)
    h2o_val = h2o_data3[c].digamma()[5,:]._scalar()
    num_val = scipy.special.polygamma(0,h2o_data3[5,c])
    assert abs(h2o_val - num_val) <  max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal digamma values between h2o and " \
        "math".format(h2o_val,num_val)
    h2o_val = h2o_data3[c].trigamma()[5,:]
    num_val = scipy.special.polygamma(1,h2o_data3[5,c])
    assert abs(h2o_val - float(num_val)) <  max(abs(h2o_val), abs(num_val)) * 1e-6, \
        "check unsuccessful! h2o computed {0} and math computed {1}. expected equal trigamma values between h2o and " \
        "math".format(h2o_val,num_val)
Esempio n. 8
0
def op_precedence(ip,port):
    # Connect to a pre-existing cluster
    

    a = [[random.uniform(-100,100) for r in range(10)] for c in range(10)]
    b = [[random.uniform(-100,100) for r in range(10)] for c in range(10)]
    c = [[random.uniform(-100,100) for r in range(10)] for c in range(10)]

    A = h2o.H2OFrame(python_obj=a)
    B = h2o.H2OFrame(python_obj=b)
    C = h2o.H2OFrame(python_obj=c)

    np_A = np.array(a)
    np_B = np.array(b)
    np_C = np.array(c)

    s1 = np_A + np_B * np_C
    s2 = np_A - np_B - np_C
    s3 = np_A ** 1 ** 2
    s4 = np.logical_and(np_A == np_B, np_C)
    s5 = np_A == np_B + np_C
    s6 = np.logical_and(np.logical_or(np_A, np_B), np_C)

    print "Check A + B * C"
    S1 = A + B * C
    tests.np_comparison_check(S1, s1, 10)

    print "Check A - B - C"
    S2 = A - B - C
    tests.np_comparison_check(S2, s2, 10)

    print "Check A ^ 2 ^ 3"
    S3 = A ** 1 ** 2
    tests.np_comparison_check(S3, s3, 10)

    print "Check A == B & C"
    S4 = A == B & C
    tests.np_comparison_check(S4, s4, 10)

    print "Check A == B + C"
    S5 = A == B + C
    tests.np_comparison_check(S5, s5, 10)

    print "Check A | B & C"
    S6 = A | B & C
    tests.np_comparison_check(S6, s6, 10)