report_datasets.get_cli_arguments() - Code Metrics - Inspection of "Check if scripts get installed" - boromir674/topic-modeling-toolkit - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — packagify ( 8cc350...6750af )

by Konstantinos

created 2019-09-27 00:15 UTC

report_datasets.get_cli_arguments() A

↳ Parent: report_datasets

Complexity

Conditions

Size

Total Lines	5
Code Lines	5

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	5
nop	0
dl	0
loc	5
rs	10
c	0
b	0
f	0

#!/usr/bin/env python

import os
import argparse
from topic_modeling_toolkit.reporting import DatasetReporter


def get_cli_arguments():
    parser = argparse.ArgumentParser(description='Reports on topic-modeling datasets', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
    parser.add_argument('--details', '-d', dest='details', default=False, action='store_true', help='Switch to show details about the datasets')
    parser.add_argument('--select-dataset', '-s', dest='dataset_label', help='Whether to show information about a specific dataset only.')
    return parser.parse_args()

def main():
    collections_dir = os.getenv('COLLECTIONS_DIR')
    if not collections_dir:
        raise RuntimeError(
            "Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets")
    args = get_cli_arguments()
    dt_rprt = DatasetReporter(collections_dir)

    multiline_datasets_strings = dt_rprt.get_infos(details=args.details, selection=args.dataset_label)

    if args.dataset_label:
        l = []
        for i, line in enumerate(multiline_datasets_strings):
            if args.dataset_label in line:
                print(line)
                break
                # l.extend([line] + multiline_datasets_strings[i + 1 : i + 5])
                # break
        # print('\n'.join(l))
    # b = '\n'.join(dt_rprt.get_infos(details=args.details))
    else:
        print('\n'.join(multiline_datasets_strings))


if __name__ == '__main__':
    main()


1			#!/usr/bin/env python
2
3			import os
4			import argparse
5			from topic_modeling_toolkit.reporting import DatasetReporter
6
7
8			def get_cli_arguments():
9			parser = argparse.ArgumentParser(description='Reports on topic-modeling datasets', formatter_class=argparse.ArgumentDefaultsHelpFormatter)
10			parser.add_argument('--details', '-d', dest='details', default=False, action='store_true', help='Switch to show details about the datasets')
11			parser.add_argument('--select-dataset', '-s', dest='dataset_label', help='Whether to show information about a specific dataset only.')
12			return parser.parse_args()
13
14			def main():
15			collections_dir = os.getenv('COLLECTIONS_DIR')
16			if not collections_dir:
17			raise RuntimeError(
18			"Please set the COLLECTIONS_DIR environment variable with the path to a directory containing collections/datasets")
19			args = get_cli_arguments()
20			dt_rprt = DatasetReporter(collections_dir)
21
22			multiline_datasets_strings = dt_rprt.get_infos(details=args.details, selection=args.dataset_label)
23
24			if args.dataset_label:
25			l = []
26			for i, line in enumerate(multiline_datasets_strings):
27			if args.dataset_label in line:
28			print(line)
29			break
30			# l.extend([line] + multiline_datasets_strings[i + 1 : i + 5])
31			# break
32			# print('\n'.join(l))
33			# b = '\n'.join(dt_rprt.get_infos(details=args.details))
34			else:
35			print('\n'.join(multiline_datasets_strings))
36
37
38			if __name__ == '__main__':
39			main()
40

boromir674 / topic-modeling-toolkit

Push — packagify ( 8cc350...6750af )

report_datasets.get_cli_arguments() A

Complexity

Size

Duplication

Importance

Duplication Side-by-Side

Filter issues like