generate_counterexample_typeslines.py
def run_obrms_cross(filename):
	'''
	This function returns a pandas dataframe of the RMSD between every pose and every other pose, which is generated using obrms -x
	'''

	csv=subprocess.check_output('obrms -x '+filename,shell=True)
	csv=str(csv,'utf-8').rstrip().split('\n')
	data=pd.DataFrame([x.split(',')[1:] for x in csv],dtype=float)
	return data

	This function returns a pandas dataframe of the RMSD between every pose and every other pose, which is generated using obrms -x
	
This function returns a pandas dataframe of the RMSD between every pose and every other pose, which is generated using obrms -x
This function returns a pandas dataframe of the RMSD between every pose and every other pose which is generated using obrms - x
def run_obrms_cross(filename):
	csv=subprocess.check_output('obrms -x '+filename,shell=True)
	csv=str(csv,'utf-8').rstrip().split('\n')
	data=pd.DataFrame([x.split(',')[1:] for x in csv],dtype=float)
	return data
def run_obrms_cross ( filename ) : csv = subprocess . check_output ( 'obrms -x ' + filename , shell = True ) csv = str ( csv , 'utf-8' ) . rstrip ( ) . split ( '\n' ) data = pd . DataFrame ( [ x . split ( ',' ) [ 1 : ] for x in csv ] , dtype = float ) return data
This function returns a pandas dataframe of the RMSD between every pose and every other pose, which is generated using obrms -x
This function returns a pandas dataframe of the RMSD between every pose and every other pose which is generated using obrms - x
'''
	This function returns a pandas dataframe of the RMSD between every pose and every other pose, which is generated using obrms -x
	'''
filename