smythi93 / Tests4Py / 30040549735

import unittest

import matplotlib

matplotlib.use('Agg')

import numpy as np

import matplotlib.pyplot as plt

class TestsFailing(unittest.TestCase):

    def test_diversity_1(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'p'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['caps'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_2(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 's'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['medians'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_3(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'v'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['medians'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_4(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = '*'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['whiskers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_5(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'h'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['medians'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_6(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'o'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['boxes'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_7(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'o'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['whiskers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_8(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'v'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['boxes'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_9(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = 'o'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['caps'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_10(self):

        plt.rcdefaults()

        plt.rcParams['lines.marker'] = '+'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('', bxp['medians'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

class TestsPassing(unittest.TestCase):

    def test_diversity_1(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.flierprops.marker'] = 'x'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('x', bxp['fliers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_2(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.flierprops.marker'] = 'D'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('D', bxp['fliers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_3(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.meanprops.marker'] = 'h'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('h', bxp['means'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_4(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.flierprops.marker'] = 'v'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('v', bxp['fliers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_5(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.flierprops.marker'] = '*'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('*', bxp['fliers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_6(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.meanprops.marker'] = '^'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('^', bxp['means'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_7(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.flierprops.marker'] = 's'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('s', bxp['fliers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_8(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.meanprops.marker'] = 'x'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('x', bxp['means'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_9(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.meanprops.marker'] = '*'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('*', bxp['means'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()

    def test_diversity_10(self):

        plt.rcdefaults()

        plt.rcParams['boxplot.flierprops.marker'] = 'o'

        fig, ax = plt.subplots()

        d = np.arange(100)

        d[-1] = 150

        bxp = ax.boxplot(d, showmeans=True)

        self.assertEqual('o', bxp['fliers'][0].get_marker())

        plt.close(fig)

        plt.rcdefaults()