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

Code Duplication Length = 42-42 lines in 3 locations

app/core.py 1 location


    return df


def read_file_dash(lines):
    """This function is exactly similar to read_file, but it is for dash

    Parameters
    __________
    file: lines from dash input file

    Returns:
    ________
    dict_of_df: dictionary of dataframes with keys = cycle numbers and
    values = dataframes for each cycle
    n_cycle: number of cycles in the raw file
    """
    dict_of_df = {}
    h = 0
    l = 0
    n_cycle = 0
    number = 0
    #a = []
    #with open(file, 'rt') as f:
    #    print(file + ' Opened')
    for line in lines:
        record = 0
        if not (h and l):
            if line.startswith('SCANRATE'):
                scan_rate = float(line.split()[2])
                h = 1
            if line.startswith('STEPSIZE'):
                step_size = float(line.split()[2])
                l = 1
        if line.startswith('CURVE'):
            n_cycle += 1
            if n_cycle > 1:
                number = n_cycle - 1
                df = read_cycle(a)
                key_name = 'cycle_' + str(number)
                #key_name = number
                dict_of_df[key_name] = copy.deepcopy(df)
            a = []
        if n_cycle:
            a.append(line)
    return dict_of_df, number


def read_file(file):

practice/dash_resumable_upload.py 1 location


    return df


def read_file_dash(lines):
    """This function is exactly similar to read_file, but it is for dash

    Parameters
    __________
    file: lines from dash input file

    Returns:
    ________
    dict_of_df: dictionary of dataframes with keys = cycle numbers and
    values = dataframes for each cycle
    n_cycle: number of cycles in the raw file
    """
    dict_of_df = {}
    h = 0
    l = 0
    n_cycle = 0
    number = 0
    #a = []
    #with open(file, 'rt') as f:
    #    print(file + ' Opened')
    for line in lines:
        record = 0
        if not (h and l):
            if line.startswith('SCANRATE'):
                scan_rate = float(line.split()[2])
                h = 1
            if line.startswith('STEPSIZE'):
                step_size = float(line.split()[2])
                l = 1
        if line.startswith('CURVE'):
            n_cycle += 1
            if n_cycle > 1:
                number = n_cycle - 1
                df = read_cycle(a)
                key_name = 'cycle_' + str(number)
                #key_name = number
                dict_of_df[key_name] = copy.deepcopy(df)
            a = []
        if n_cycle:
            a.append(line)
    return dict_of_df, number


def read_file(file):

practice/core.py 1 location


    return df


def read_file_dash(lines):
    """This function is exactly similar to read_file, but it is for dash

    Parameters
    __________
    file: lines from dash input file

    Returns:
    ________
    dict_of_df: dictionary of dataframes with keys = cycle numbers and
    values = dataframes for each cycle
    n_cycle: number of cycles in the raw file
    """
    dict_of_df = {}
    h = 0
    l = 0
    n_cycle = 0
    number = 0
    #a = []
    #with open(file, 'rt') as f:
    #    print(file + ' Opened')
    for line in lines:
        record = 0
        if not (h and l):
            if line.startswith('SCANRATE'):
                scan_rate = float(line.split()[2])
                h = 1
            if line.startswith('STEPSIZE'):
                step_size = float(line.split()[2])
                l = 1
        if line.startswith('CURVE'):
            n_cycle += 1
            if n_cycle > 1:
                number = n_cycle - 1
                df = read_cycle(a)
                key_name = 'cycle_' + str(number)
                #key_name = number
                dict_of_df[key_name] = copy.deepcopy(df)
            a = []
        if n_cycle:
            a.append(line)
    return dict_of_df, number


def read_file(file):

		@@ 38-79 (lines=42) @@
35		return df
36
37
38		def read_file_dash(lines):
39		"""This function is exactly similar to read_file, but it is for dash
40
41		Parameters
42		__________
43		file: lines from dash input file
44
45		Returns:
46		________
47		dict_of_df: dictionary of dataframes with keys = cycle numbers and
48		values = dataframes for each cycle
49		n_cycle: number of cycles in the raw file
50		"""
51		dict_of_df = {}
52		h = 0
53		l = 0
54		n_cycle = 0
55		number = 0
56		#a = []
57		#with open(file, 'rt') as f:
58		# print(file + ' Opened')
59		for line in lines:
60		record = 0
61		if not (h and l):
62		if line.startswith('SCANRATE'):
63		scan_rate = float(line.split()[2])
64		h = 1
65		if line.startswith('STEPSIZE'):
66		step_size = float(line.split()[2])
67		l = 1
68		if line.startswith('CURVE'):
69		n_cycle += 1
70		if n_cycle > 1:
71		number = n_cycle - 1
72		df = read_cycle(a)
73		key_name = 'cycle_' + str(number)
74		#key_name = number
75		dict_of_df[key_name] = copy.deepcopy(df)
76		a = []
77		if n_cycle:
78		a.append(line)
79		return dict_of_df, number
80
81
82		def read_file(file):

		@@ 38-79 (lines=42) @@
35		return df
36
37
38		def read_file_dash(lines):
39		"""This function is exactly similar to read_file, but it is for dash
40
41		Parameters
42		__________
43		file: lines from dash input file
44
45		Returns:
46		________
47		dict_of_df: dictionary of dataframes with keys = cycle numbers and
48		values = dataframes for each cycle
49		n_cycle: number of cycles in the raw file
50		"""
51		dict_of_df = {}
52		h = 0
53		l = 0
54		n_cycle = 0
55		number = 0
56		#a = []
57		#with open(file, 'rt') as f:
58		# print(file + ' Opened')
59		for line in lines:
60		record = 0
61		if not (h and l):
62		if line.startswith('SCANRATE'):
63		scan_rate = float(line.split()[2])
64		h = 1
65		if line.startswith('STEPSIZE'):
66		step_size = float(line.split()[2])
67		l = 1
68		if line.startswith('CURVE'):
69		n_cycle += 1
70		if n_cycle > 1:
71		number = n_cycle - 1
72		df = read_cycle(a)
73		key_name = 'cycle_' + str(number)
74		#key_name = number
75		dict_of_df[key_name] = copy.deepcopy(df)
76		a = []
77		if n_cycle:
78		a.append(line)
79		return dict_of_df, number
80
81
82		def read_file(file):

		@@ 38-79 (lines=42) @@
35		return df
36
37
38		def read_file_dash(lines):
39		"""This function is exactly similar to read_file, but it is for dash
40
41		Parameters
42		__________
43		file: lines from dash input file
44
45		Returns:
46		________
47		dict_of_df: dictionary of dataframes with keys = cycle numbers and
48		values = dataframes for each cycle
49		n_cycle: number of cycles in the raw file
50		"""
51		dict_of_df = {}
52		h = 0
53		l = 0
54		n_cycle = 0
55		number = 0
56		#a = []
57		#with open(file, 'rt') as f:
58		# print(file + ' Opened')
59		for line in lines:
60		record = 0
61		if not (h and l):
62		if line.startswith('SCANRATE'):
63		scan_rate = float(line.split()[2])
64		h = 1
65		if line.startswith('STEPSIZE'):
66		step_size = float(line.split()[2])
67		l = 1
68		if line.startswith('CURVE'):
69		n_cycle += 1
70		if n_cycle > 1:
71		number = n_cycle - 1
72		df = read_cycle(a)
73		key_name = 'cycle_' + str(number)
74		#key_name = number
75		dict_of_df[key_name] = copy.deepcopy(df)
76		a = []
77		if n_cycle:
78		a.append(line)
79		return dict_of_df, number
80
81
82		def read_file(file):

sabiharustam / voltcycle

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Code Duplication Length = 42-42 lines in 3 locations

app/core.py 1 location

practice/dash_resumable_upload.py 1 location

practice/core.py 1 location