Code Duplication - sabiharustam/voltcycle - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 16-16 lines in 2 locations

voltcycle/functions_and_tests/test_peak_detection_fxn.py 1 location


import numpy as np
import core

def test_peak_detection_fxn():
    """This function tests the peak_detection_fxn() function."""
    read_file = core.read_file('../data/10mM_2,7-AQDS_1M_KOH_25mVs_0.5step_2.txt')
    file_df = core.data_frame(read_file, 2)
    y_column = file_df['Current']
    df2 = core.peak_detection_fxn(y_column)

    # check that the output is a list
    assert isinstance(df2, list)

    # check that there are two outputs
    assert (len(df2)) == 2

    # check if the outputs are integer values
    for i in range(len(df2)):
        assert isinstance(df2[i], np.int32)


voltcycle/tests/test_peak_detection_fxn.py 1 location


import numpy as np
from voltcycle import core

def test_peak_detection_fxn():
    """This function tests the peak_detection_fxn() function."""
    read_file = core.read_file('../data/10mM_2,7-AQDS_1M_KOH_25mVs_0.5step_2.txt')
    file_df = core.data_frame(read_file, 2)
    y_column = file_df['Current']
    df2 = core.peak_detection_fxn(y_column)

    # check that the output is a list
    assert isinstance(df2, list)

    # check that there are two outputs
    assert (len(df2)) == 2

    # check if the outputs are integer values
    for i in range(len(df2)):
        assert isinstance(df2[i], np.int32)


		@@ 8-23 (lines=16) @@
5		import numpy as np
6		import core
7
8		def test_peak_detection_fxn():
9		"""This function tests the peak_detection_fxn() function."""
10		read_file = core.read_file('../data/10mM_2,7-AQDS_1M_KOH_25mVs_0.5step_2.txt')
11		file_df = core.data_frame(read_file, 2)
12		y_column = file_df['Current']
13		df2 = core.peak_detection_fxn(y_column)
14
15		# check that the output is a list
16		assert isinstance(df2, list)
17
18		# check that there are two outputs
19		assert (len(df2)) == 2
20
21		# check if the outputs are integer values
22		for i in range(len(df2)):
23		assert isinstance(df2[i], np.int32)
24

		@@ 8-23 (lines=16) @@
5		import numpy as np
6		from voltcycle import core
7
8		def test_peak_detection_fxn():
9		"""This function tests the peak_detection_fxn() function."""
10		read_file = core.read_file('../data/10mM_2,7-AQDS_1M_KOH_25mVs_0.5step_2.txt')
11		file_df = core.data_frame(read_file, 2)
12		y_column = file_df['Current']
13		df2 = core.peak_detection_fxn(y_column)
14
15		# check that the output is a list
16		assert isinstance(df2, list)
17
18		# check that there are two outputs
19		assert (len(df2)) == 2
20
21		# check if the outputs are integer values
22		for i in range(len(df2)):
23		assert isinstance(df2[i], np.int32)
24

sabiharustam / voltcycle

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Code Duplication Length = 16-16 lines in 2 locations

voltcycle/functions_and_tests/test_peak_detection_fxn.py 1 location

voltcycle/tests/test_peak_detection_fxn.py 1 location