Code Duplication - andycasey/AnniesLasso - Measure and Improve Code Quality continuously with Scrutinizer

Code Duplication Length = 18-18 lines in 2 locations

thecannon/main.py 2 locations


                del output_filenames[0:], fluxes[0:], ivars[0:]


    if len(output_filenames) > 0:
        
        results, covs, metas = model.fit(fluxes, ivars, 
            initial_labels=initial_labels, model_redshift=fit_velocity,
            full_output=True)

        for result, cov, meta, output_filename \
        in zip(results, covs, metas, output_filenames):

            for key in delete_meta_keys:
                if key in meta:
                    del meta[key]

            with open(output_filename, "wb") as fp:
                pickle.dump((result, cov, meta), fp, 2) # For legacy.
            logger.info("Saved output to {}".format(output_filename))
        
        del output_filenames[0:], fluxes[0:], ivars[0:]


    logger.info("Number of failures: {}".format(failures))

            failures += 1

        else:
            if len(output_filenames) >= chunk_size:
                
                results, covs, metas = model.fit(fluxes, ivars,
                    initial_labels=initial_labels, model_redshift=fit_velocity,
                    full_output=True)

                for result, cov, meta, output_filename \
                in zip(results, covs, metas, output_filenames):

                    for key in delete_meta_keys:
                        if key in meta:
                            del meta[key]

                    with open(output_filename, "wb") as fp:
                        pickle.dump((result, cov, meta), fp, 2) # For legacy.
                    logger.info("Saved output to {}".format(output_filename))
                
                del output_filenames[0:], fluxes[0:], ivars[0:]


    if len(output_filenames) > 0:

		@@ 93-110 (lines=18) @@
90		del output_filenames[0:], fluxes[0:], ivars[0:]
91
92
93		if len(output_filenames) > 0:
94
95		results, covs, metas = model.fit(fluxes, ivars,
96		initial_labels=initial_labels, model_redshift=fit_velocity,
97		full_output=True)
98
99		for result, cov, meta, output_filename \
100		in zip(results, covs, metas, output_filenames):
101
102		for key in delete_meta_keys:
103		if key in meta:
104		del meta[key]
105
106		with open(output_filename, "wb") as fp:
107		pickle.dump((result, cov, meta), fp, 2) # For legacy.
108		logger.info("Saved output to {}".format(output_filename))
109
110		del output_filenames[0:], fluxes[0:], ivars[0:]
111
112
113		logger.info("Number of failures: {}".format(failures))
		@@ 73-90 (lines=18) @@
70		failures += 1
71
72		else:
73		if len(output_filenames) >= chunk_size:
74
75		results, covs, metas = model.fit(fluxes, ivars,
76		initial_labels=initial_labels, model_redshift=fit_velocity,
77		full_output=True)
78
79		for result, cov, meta, output_filename \
80		in zip(results, covs, metas, output_filenames):
81
82		for key in delete_meta_keys:
83		if key in meta:
84		del meta[key]
85
86		with open(output_filename, "wb") as fp:
87		pickle.dump((result, cov, meta), fp, 2) # For legacy.
88		logger.info("Saved output to {}".format(output_filename))
89
90		del output_filenames[0:], fluxes[0:], ivars[0:]
91
92
93		if len(output_filenames) > 0:

andycasey / AnniesLasso

Code Duplication Length = 18-18 lines in 2 locations

thecannon/__main__.py 2 locations

thecannon/main.py 2 locations