# -*- coding: utf-8 -*- """Test file.""" """ >>> from pyrgg import * >>> import pyrgg.params >>> import random >>> import os >>> import json >>> import yaml >>> import pickle >>> os.environ["PYRGG_TEST_MODE"] = "1" >>> import pyrgg.engines.pyrgg as engine >>> get_precision(2) 0 >>> get_precision(2.2) 1 >>> get_precision(2.22) 2 >>> get_precision(2.223) 3 >>> handle_str_to_number("20") 20 >>> handle_str_to_number("20.2") 20.2 >>> handle_str_to_bool("1") True >>> handle_str_to_bool("3") Traceback (most recent call last): ... ValueError >>> handle_str_to_bool("0") False >>> is_float(10) False >>> is_float(10.2) True >>> is_float(None) False >>> result = filter_input({"file_name": "test","vertices": 5,"max_weight": 1000,"min_weight":455,"min_edges": -45,"max_edges": -11,"sign": False,"output_format": 1, "direct": False,"self_loop": True,"multigraph":False,"number_of_files":2,"engine":1}) >>> result == {'output_format': 1, 'min_weight': 455, 'min_edges': 5, 'max_edges': 5, 'file_name': 'test', 'vertices': 5, 'max_weight': 1000, 'sign': False, "direct": False,"self_loop": True,"multigraph":False,"number_of_files":2,"engine":1} True >>> result = filter_input({"file_name": "test","vertices": 5,"max_weight": 1000,"min_weight":455,"min_edges": -45,"max_edges": -11,"sign": False,"output_format": 1, "direct": False,"self_loop": False,"multigraph":False,"number_of_files":2,"engine":1}) >>> result == {'output_format': 1, 'min_weight': 455, 'min_edges': 4, 'max_edges': 4, 'file_name': 'test', 'vertices': 5, 'max_weight': 1000, 'sign': False, "direct": False,"self_loop": False,"multigraph":False,"number_of_files":2,"engine":1} True >>> result = filter_input({"file_name": "test","vertices": -5,"max_weight": 1000,"min_weight":455,"min_edges": -45,"max_edges": -11,"sign": False,"output_format": 1, "direct": False,"self_loop": False,"multigraph":True,"number_of_files":1,"engine":1}) >>> result == {'output_format': 1, 'min_weight': 455, 'min_edges': 11, 'max_edges': 45, 'file_name': 'test', 'vertices': 5, 'max_weight': 1000, 'sign': False, "direct": False,"self_loop": False,"multigraph":True,"number_of_files":1,"engine":1} True >>> result = filter_input({"file_name": "test2","vertices": 23,"max_weight": 2,"min_weight": 80,"min_edges": 23,"max_edges": 1,"sign": True,"output_format": 1, "direct": False,"self_loop": True,"multigraph":False,"number_of_files":100,"engine":1}) >>> result == {'min_weight': 2, 'vertices': 23, 'file_name': 'test2', 'max_edges': 23, 'min_edges': 1, 'max_weight': 80, 'output_format': 1, 'sign': True, "direct": False,"self_loop": True,"multigraph":False,"number_of_files":100,"engine":1} True >>> with open('logfile.log','a') as file: ... engine.logger(file,'test','2min',{'vertices':100,'edge_number':50,'max_edges':1000,'min_edges':10,'direct':1,'sign':0,'multigraph':0,'self_loop':1,'max_weight':20,'min_weight':1,'engine':1,'output_format':1}) >>> file = open('logfile.log','r') >>> print("\n".join(file.read().splitlines()[1:-1])) Filename : test Vertices : 100 Total Edges : 50 Max Edges : 1000 Min Edges : 10 Directed : True Signed : False Multigraph : False Self Loop : True Weighted : True Max Weight : 20 Min Weight : 1 Engine : 1 (pyrgg) Elapsed Time : 2min >>> convert_bytes(200) '200.0 bytes' >>> convert_bytes(6000) '5.9 KB' >>> convert_bytes(80000) '78.1 KB' >>> convert_time(33) '00 days, 00 hours, 00 minutes, 33 seconds' >>> convert_time(15000) '00 days, 04 hours, 10 minutes, 00 seconds' >>> convert_time('sadasdasd') Traceback (most recent call last): ... ValueError: could not convert string to float: 'sadasdasd' >>> print_line(12,"*") ************ >>> used_vertices = {k:[] for k in range(1,41)} >>> degree_dict = {k:0 for k in range(1,41)} >>> degree_dict_sort = {k:{} for k in range(41)} >>> degree_dict_sort[0] = {i:i for i in range(1,41)} >>> all_vertices = list(range(1, 41)) >>> random.seed(2) >>> engine.generate_branches(1,10,10,1,20,0,True,True,True,False,used_vertices,degree_dict,degree_dict_sort) [[4, 25, 18, 3, 30, 34, 2, 26, 14, 11], [3, 10, 20, 14, -18, -2, -15, -14, 8, 6]] >>> random.seed(20) >>> engine.generate_branches(1,10,4,1,20,0,False,True,True,False,used_vertices,degree_dict,degree_dict_sort) [[], []] >>> used_vertices = {k:[] for k in range(1,41)} >>> degree_dict = {k:0 for k in range(1,41)} >>> degree_dict_sort = {k:{} for k in range(41)} >>> degree_dict_sort[0] = {i:i for i in range(1,41)} >>> engine.generate_branches(1,10,4,1,20,0,False,True,True,False,used_vertices,degree_dict,degree_dict_sort) [[10, 7, 39, 2, 30, 9, 25, 35, 18], [9, 11, 6, 14, 3, 5, 16, 14, 7]] >>> engine.generate_branches(40,1,20,1) Traceback (most recent call last): ... TypeError: generate_branches() missing 9 required positional arguments: 'max_weight', 'precision', 'sign', 'direct', 'self_loop', 'multigraph', 'used_vertices', 'degree_dict', and 'degree_sort_dict' >>> random.seed(2) >>> engine.generate_edges(20,0,400,2,10,True,True,True,False) [{1: [3, 7], 2: [4, 17, 20, 9, 11], 3: [14, 8, 5, 12, 16, 19, 15], 4: [15, 17, 12, 8, 14, 13], 5: [16, 9, 7, 20, 19, 18, 13, 5], 6: [6, 10], 7: [18, 10, 11], 8: [], 9: [], 10: [12, 18, 8, 1, 14], 11: [9, 11], 12: [], 13: [], 14: [19, 16, 17, 20, 15], 15: [6, 1, 19], 16: [12, 13, 8, 9, 17], 17: [], 18: [9, 12, 17, 6, 20, 19, 1], 19: [13], 20: []}, {1: [184, -128], 2: [220, -278, -257, 14, -163], 3: [286, 118, 166, 261, -263, 228, -303], 4: [-82, -335, 250, -256, -338, -179], 5: [-337, -358, -395, -155, -159, 250, -350, -371], 6: [30, -302], 7: [386, -125, 216], 8: [], 9: [], 10: [127, 42, 12, 191, 80], 11: [-301, 77], 12: [], 13: [], 14: [146, -15, -282, 135, 242], 15: [-52, -65, -249], 16: [-132, -334, 343, -17, 87], 17: [], 18: [126, -37, 302, -131, -142, 77, -209], 19: [123], 20: []}, 61] >>> random.seed(11) >>> engine.generate_edges(20,0,100,2,10,False,True,True,False) [{1: [18, 15, 19, 7, 20, 11, 2, 6, 3], 2: [17], 3: [8, 4, 5, 9, 12, 10, 14, 16], 4: [20, 13, 4, 6], 5: [12, 7, 11, 10, 14], 6: [9], 7: [19], 8: [8, 18, 11, 2, 16, 17, 10], 9: [15, 12, 18], 10: [20, 14, 13, 15, 17, 16], 11: [19, 7, 20], 12: [13], 13: [2, 16, 13], 14: [18, 19, 6, 14, 17, 15], 15: [6, 7, 16], 16: [17, 20, 12, 18], 17: [19], 18: [7, 6, 9, 12, 20], 19: [19, 11, 4], 20: []}, {1: [99, 57, 75, 23, 80, 23, 57, 18, 68], 2: [50], 3: [79, 67, 7, 24, 76, 99, 41, 75], 4: [29, 63, 84, 58], 5: [70, 90, 40, 65, 3], 6: [51], 7: [37], 8: [2, 0, 26, 60, 90, 53, 72], 9: [43, 39, 1], 10: [15, 31, 1, 59, 22, 57], 11: [98, 53, 49], 12: [53], 13: [34, 2, 23], 14: [82, 12, 18, 56, 1, 37], 15: [9, 26, 1], 16: [47, 58, 75, 73], 17: [23], 18: [39, 78, 92, 20, 49], 19: [10, 6, 13], 20: []}, 74] >>> engine.generate_edges(0,400,2,10,1) Traceback (most recent call last): ... TypeError: generate_edges() missing 4 required positional arguments: 'sign', 'direct', 'self_loop', and 'multigraph' >>> random.seed(2) >>> engine.generate_graph(generate_dimacs_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.gr','r') >>> print(file.read()) c FILE :testfile.gr c No. of vertices :10 c No. of edges :7 c Max. weight :148 c Min. weight :7 p sp 10 7 a 4 3 -64 a 5 6 148 a 5 9 110 a 6 10 -139 a 7 7 7 a 8 2 -97 a 9 1 60 >>> random.seed(4) >>> engine.generate_graph(generate_dimacs_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.gr','r') >>> print(file.read()) c FILE :testfile2.gr c No. of vertices :30 c No. of edges :35 c Max. weight :50 c Min. weight :2 p sp 30 35 a 1 10 46 a 2 18 5 a 2 4 25 a 2 22 -48 a 4 23 -17 a 5 7 -13 a 7 15 10 a 7 17 -40 a 8 8 -42 a 8 25 11 a 9 29 -5 a 10 3 -36 a 10 27 -48 a 11 13 -27 a 11 26 -27 a 11 21 14 a 11 16 -2 a 14 20 -44 a 14 14 43 a 14 12 26 a 15 28 -11 a 16 30 -40 a 16 24 20 a 19 19 7 a 20 12 -29 a 20 1 22 a 22 24 20 a 22 23 -9 a 23 18 18 a 23 27 28 a 24 6 -24 a 25 17 23 a 27 6 -50 a 28 21 28 a 28 13 -13 >>> random.seed(20) >>> engine.generate_graph(generate_dimacs_file, 'testfile3', {'min_weight':10, 'max_weight':30, 'vertices':100, 'min_edges':0, 'max_edges':4, 'sign':0, 'direct':1, 'self_loop':1, 'multigraph':0}) 137 >>> file=open('testfile3.gr','r') >>> print(file.read()) c FILE :testfile3.gr c No. of vertices :100 c No. of edges :137 c Max. weight :30 c Min. weight :10 p sp 100 137 a 1 34 30 a 3 76 15 a 3 5 23 a 4 13 13 a 4 21 20 a 4 67 28 a 5 60 16 a 5 32 20 a 5 92 20 a 6 64 12 a 6 94 26 a 7 62 12 a 7 36 28 a 7 42 11 a 8 20 12 a 9 47 19 a 10 49 15 a 10 27 10 a 11 48 17 a 11 51 11 a 13 58 14 a 13 70 29 a 14 37 30 a 14 61 27 a 14 87 15 a 15 84 13 a 16 83 28 a 17 45 17 a 17 24 29 a 17 18 26 a 18 59 15 a 19 98 12 a 21 2 30 a 21 99 20 a 22 69 26 a 22 96 11 a 22 88 15 a 24 79 20 a 24 12 12 a 24 82 13 a 26 50 30 a 26 30 19 a 29 52 26 a 31 25 26 a 32 68 14 a 33 65 13 a 33 78 13 a 33 55 17 a 34 63 13 a 35 44 27 a 35 57 14 a 37 74 10 a 37 41 16 a 37 100 30 a 38 72 13 a 38 56 16 a 39 91 19 a 39 43 13 a 41 28 22 a 41 81 19 a 42 90 13 a 42 46 28 a 42 97 16 a 45 86 10 a 45 53 18 a 46 85 13 a 46 23 11 a 47 71 29 a 48 95 12 a 48 77 19 a 48 93 11 a 49 75 22 a 50 73 18 a 50 40 24 a 50 54 28 a 51 80 17 a 51 66 19 a 51 89 20 a 52 58 29 a 52 16 21 a 52 43 12 a 53 8 13 a 53 98 17 a 54 55 10 a 56 62 26 a 56 27 10 a 57 70 26 a 58 44 22 a 59 90 27 a 59 91 19 a 59 78 29 a 60 87 12 a 60 92 25 a 61 69 14 a 61 79 17 a 62 25 21 a 63 97 27 a 63 29 30 a 65 9 26 a 65 64 21 a 66 67 27 a 66 95 19 a 66 93 30 a 68 30 18 a 70 83 12 a 70 99 15 a 71 31 17 a 71 89 20 a 73 36 18 a 75 72 12 a 76 2 26 a 76 12 25 a 76 86 22 a 78 23 19 a 78 100 27 a 79 40 24 a 80 84 26 a 80 80 14 a 81 20 16 a 82 15 16 a 82 88 22 a 83 19 19 a 84 85 13 a 84 28 16 a 85 77 16 a 85 94 23 a 86 1 21 a 87 74 15 a 87 96 19 a 90 93 22 a 92 49 14 a 95 98 26 a 95 55 11 a 97 38 28 a 99 19 29 a 99 89 24 a 100 40 11 >>> generate_dimacs_file({}) Traceback (most recent call last): ... TypeError: generate_dimacs_file() missing 2 required positional arguments: 'weight_dict' and 'mdata' >>> random.seed(2) >>> engine.generate_graph(generate_json_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.json','r') >>> testfile_1=json.load(file) >>> testfile_1['graph']['nodes'][1] {'id': 2} >>> testfile_1['graph']['edges'][1]['source'] 5 >>> testfile_1['graph']['edges'][1]['target'] 6 >>> testfile_1['graph']['edges'][1]['weight'] 148 >>> json_to_yaml('testfile') >>> file=open('testfile.yaml','r') >>> testfile_1_yaml=yaml.safe_load(file) >>> testfile_1_yaml['graph']['edges'][1]['source'] 5 >>> testfile_1_yaml['graph']['edges'][1]['target'] 6 >>> testfile_1_yaml['graph']['edges'][1]['weight'] 148 >>> json_to_pickle('testfile') >>> testfile_1_p=pickle.load( open( 'testfile.p', 'rb' ) ) >>> testfile_1_p['graph']['edges'][1]['source'] 5 >>> testfile_1_p['graph']['edges'][1]['target'] 6 >>> testfile_1_p['graph']['edges'][1]['weight'] 148 >>> random.seed(4) >>> engine.generate_graph(generate_json_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.json','r') >>> testfile_2=json.load(file) >>> testfile_2['graph']['nodes'][1] {'id': 2} >>> testfile_2['graph']['edges'][1]['source'] 2 >>> testfile_2['graph']['edges'][1]['target'] 18 >>> testfile_2['graph']['edges'][1]['weight'] 5 >>> json_to_yaml('testfile2') >>> file=open('testfile2.yaml','r') >>> testfile_2_yaml=yaml.safe_load(file) >>> testfile_2_yaml['graph']['nodes'][1] {'id': 2} >>> testfile_2_yaml['graph']['edges'][1]['source'] 2 >>> testfile_2_yaml['graph']['edges'][1]['target'] 18 >>> testfile_2_yaml['graph']['edges'][1]['weight'] 5 >>> json_to_pickle('testfile2') >>> testfile_2_p=pickle.load( open( 'testfile2.p', 'rb' ) ) >>> testfile_2_p['graph']['edges'][1]['source'] 2 >>> testfile_2_p['graph']['edges'][1]['target'] 18 >>> testfile_2_p['graph']['edges'][1]['weight'] 5 >>> random.seed(20) >>> engine.generate_graph(generate_json_file, 'testfile3', {'min_weight':10, 'max_weight':30, 'vertices':100, 'min_edges':0, 'max_edges':4, 'sign':0, 'direct':1, 'self_loop':1, 'multigraph':0}) 137 >>> file=open('testfile3.json','r') >>> testfile_3=json.load(file) >>> testfile_3['graph']['nodes'][1] {'id': 2} >>> testfile_3['graph']['edges'][1]['source'] 3 >>> testfile_3['graph']['edges'][1]['target'] 76 >>> testfile_3['graph']['edges'][1]['weight'] 15 >>> json_to_yaml('testfile3') >>> file=open('testfile3.yaml','r') >>> testfile_3_yaml=yaml.safe_load(file) >>> testfile_3_yaml['graph']['nodes'][1] {'id': 2} >>> testfile_3_yaml['graph']['edges'][1]['source'] 3 >>> testfile_3_yaml['graph']['edges'][1]['target'] 76 >>> testfile_3_yaml['graph']['edges'][1]['weight'] 15 >>> json_to_yaml('testfile24') [Error] Failed to generate YAML file! >>> json_to_pickle('testfile24') [Error] Failed to generate Pickle file! >>> generate_json_file({}, {}) Traceback (most recent call last): ... TypeError: generate_json_file() missing 1 required positional argument: 'mdata' >>> json_to_pickle('testfile3') >>> testfile_3_p=pickle.load( open( 'testfile3.p', 'rb' ) ) >>> testfile_3_p['graph']['edges'][1]['source'] 3 >>> testfile_3_p['graph']['edges'][1]['target'] 76 >>> testfile_3_p['graph']['edges'][1]['weight'] 15 >>> random.seed(2) >>> engine.generate_graph(generate_csv_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> random.seed(2) >>> engine.generate_graph(generate_gml_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.gml','r') >>> print(file.read()) graph [ multigraph 0 directed 1 node [ id 1 label "Node 1" ] node [ id 2 label "Node 2" ] node [ id 3 label "Node 3" ] node [ id 4 label "Node 4" ] node [ id 5 label "Node 5" ] node [ id 6 label "Node 6" ] node [ id 7 label "Node 7" ] node [ id 8 label "Node 8" ] node [ id 9 label "Node 9" ] node [ id 10 label "Node 10" ] edge [ source 4 target 3 value -64 ] edge [ source 5 target 6 value 148 ] edge [ source 5 target 9 value 110 ] edge [ source 6 target 10 value -139 ] edge [ source 7 target 7 value 7 ] edge [ source 8 target 2 value -97 ] edge [ source 9 target 1 value 60 ] ] >>> random.seed(2) >>> engine.generate_graph(generate_gexf_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.gexf', 'r') >>> random.seed(2) >>> engine.generate_graph(generate_mtx_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> random.seed(2) >>> engine.generate_graph(generate_tsv_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.mtx','r') >>> print(file.read()) %%MatrixMarket matrix coordinate real general 10 10 7 4 3 -64 5 6 148 5 9 110 6 10 -139 7 7 7 8 2 -97 9 1 60 >>> random.seed(2) >>> engine.generate_graph(generate_gdf_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.gdf','r') >>> print(file.read()) nodedef>name VARCHAR,label VARCHAR 1,Node1 2,Node2 3,Node3 4,Node4 5,Node5 6,Node6 7,Node7 8,Node8 9,Node9 10,Node10 edgedef>node1 VARCHAR,node2 VARCHAR,weight DOUBLE 4,3,-64 5,6,148 5,9,110 6,10,-139 7,7,7 8,2,-97 9,1,60 >>> random.seed(2) >>> engine.generate_graph(generate_gl_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.gl','r') >>> print(file.read()) 4 3:-64 5 6:148 9:110 6 10:-139 7 7:7 8 2:-97 9 1:60 >>> file=open('testfile.csv','r') >>> print(file.read()) 4,3,-64 5,6,148 5,9,110 6,10,-139 7,7,7 8,2,-97 9,1,60 >>> random.seed(4) >>> engine.generate_graph(generate_csv_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.csv','r') >>> print(file.read()) 1,10,46 2,18,5 2,4,25 2,22,-48 4,23,-17 5,7,-13 7,15,10 7,17,-40 8,8,-42 8,25,11 9,29,-5 10,3,-36 10,27,-48 11,13,-27 11,26,-27 11,21,14 11,16,-2 14,20,-44 14,14,43 14,12,26 15,28,-11 16,30,-40 16,24,20 19,19,7 20,12,-29 20,1,22 22,24,20 22,23,-9 23,18,18 23,27,28 24,6,-24 25,17,23 27,6,-50 28,21,28 28,13,-13 >>> random.seed(4) >>> engine.generate_graph(generate_csv_file, 'testfile4', {'min_weight':0, 'max_weight':50.2, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 41 >>> file=open('testfile4.csv','r') >>> print(file.read()) 1,10,36.2 2,6,3.3 2,16,-40.2 2,29,11.1 3,17,-39.1 3,7,-10.8 3,3,-40.2 4,12,-14.5 5,9,-33.7 5,28,8.9 6,21,47.4 6,27,-0.4 6,15,-42.6 7,20,-30.1 8,23,11.7 8,18,4.1 8,25,-26.0 9,24,50.1 9,13,20.7 9,14,-13.9 10,26,-31.8 10,19,-5.1 12,22,6.1 13,30,-1.3 14,11,-36.9 14,22,16.2 15,16,-43.2 15,11,-31.0 16,19,12.6 17,21,18.2 18,18,-39.3 18,25,-28.7 19,23,-46.0 24,20,27.4 25,4,-50.1 25,1,-38.8 26,27,-10.1 26,30,-24.7 26,29,-12.5 27,28,-9.4 29,20,26.4 >>> random.seed(20) >>> engine.generate_graph(generate_csv_file, 'testfile3', {'min_weight':10, 'max_weight':30, 'vertices':100, 'min_edges':0, 'max_edges':4, 'sign':0, 'direct':1, 'self_loop':1, 'multigraph':0}) 137 >>> file=open('testfile3.csv','r') >>> print(file.read()) 1,34,30 3,76,15 3,5,23 4,13,13 4,21,20 4,67,28 5,60,16 5,32,20 5,92,20 6,64,12 6,94,26 7,62,12 7,36,28 7,42,11 8,20,12 9,47,19 10,49,15 10,27,10 11,48,17 11,51,11 13,58,14 13,70,29 14,37,30 14,61,27 14,87,15 15,84,13 16,83,28 17,45,17 17,24,29 17,18,26 18,59,15 19,98,12 21,2,30 21,99,20 22,69,26 22,96,11 22,88,15 24,79,20 24,12,12 24,82,13 26,50,30 26,30,19 29,52,26 31,25,26 32,68,14 33,65,13 33,78,13 33,55,17 34,63,13 35,44,27 35,57,14 37,74,10 37,41,16 37,100,30 38,72,13 38,56,16 39,91,19 39,43,13 41,28,22 41,81,19 42,90,13 42,46,28 42,97,16 45,86,10 45,53,18 46,85,13 46,23,11 47,71,29 48,95,12 48,77,19 48,93,11 49,75,22 50,73,18 50,40,24 50,54,28 51,80,17 51,66,19 51,89,20 52,58,29 52,16,21 52,43,12 53,8,13 53,98,17 54,55,10 56,62,26 56,27,10 57,70,26 58,44,22 59,90,27 59,91,19 59,78,29 60,87,12 60,92,25 61,69,14 61,79,17 62,25,21 63,97,27 63,29,30 65,9,26 65,64,21 66,67,27 66,95,19 66,93,30 68,30,18 70,83,12 70,99,15 71,31,17 71,89,20 73,36,18 75,72,12 76,2,26 76,12,25 76,86,22 78,23,19 78,100,27 79,40,24 80,84,26 80,80,14 81,20,16 82,15,16 82,88,22 83,19,19 84,85,13 84,28,16 85,77,16 85,94,23 86,1,21 87,74,15 87,96,19 90,93,22 92,49,14 95,98,26 95,55,11 97,38,28 99,19,29 99,89,24 100,40,11 >>> generate_csv_file({}) Traceback (most recent call last): ... TypeError: generate_csv_file() missing 2 required positional arguments: 'weight_dict' and 'mdata' >>> random.seed(2) >>> engine.generate_graph(generate_wel_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.wel','r') >>> print(file.read()) 4 3 -64 5 6 148 5 9 110 6 10 -139 7 7 7 8 2 -97 9 1 60 >>> random.seed(4) >>> engine.generate_graph(generate_wel_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.wel','r') >>> print(file.read()) 1 10 46 2 18 5 2 4 25 2 22 -48 4 23 -17 5 7 -13 7 15 10 7 17 -40 8 8 -42 8 25 11 9 29 -5 10 3 -36 10 27 -48 11 13 -27 11 26 -27 11 21 14 11 16 -2 14 20 -44 14 14 43 14 12 26 15 28 -11 16 30 -40 16 24 20 19 19 7 20 12 -29 20 1 22 22 24 20 22 23 -9 23 18 18 23 27 28 24 6 -24 25 17 23 27 6 -50 28 21 28 28 13 -13 >>> random.seed(20) >>> engine.generate_graph(generate_wel_file, 'testfile3', {'min_weight':10, 'max_weight':30, 'vertices':100, 'min_edges':0, 'max_edges':4, 'sign':0, 'direct':1, 'self_loop':1, 'multigraph':0}) 137 >>> file=open('testfile3.wel','r') >>> print(file.read()) 1 34 30 3 76 15 3 5 23 4 13 13 4 21 20 4 67 28 5 60 16 5 32 20 5 92 20 6 64 12 6 94 26 7 62 12 7 36 28 7 42 11 8 20 12 9 47 19 10 49 15 10 27 10 11 48 17 11 51 11 13 58 14 13 70 29 14 37 30 14 61 27 14 87 15 15 84 13 16 83 28 17 45 17 17 24 29 17 18 26 18 59 15 19 98 12 21 2 30 21 99 20 22 69 26 22 96 11 22 88 15 24 79 20 24 12 12 24 82 13 26 50 30 26 30 19 29 52 26 31 25 26 32 68 14 33 65 13 33 78 13 33 55 17 34 63 13 35 44 27 35 57 14 37 74 10 37 41 16 37 100 30 38 72 13 38 56 16 39 91 19 39 43 13 41 28 22 41 81 19 42 90 13 42 46 28 42 97 16 45 86 10 45 53 18 46 85 13 46 23 11 47 71 29 48 95 12 48 77 19 48 93 11 49 75 22 50 73 18 50 40 24 50 54 28 51 80 17 51 66 19 51 89 20 52 58 29 52 16 21 52 43 12 53 8 13 53 98 17 54 55 10 56 62 26 56 27 10 57 70 26 58 44 22 59 90 27 59 91 19 59 78 29 60 87 12 60 92 25 61 69 14 61 79 17 62 25 21 63 97 27 63 29 30 65 9 26 65 64 21 66 67 27 66 95 19 66 93 30 68 30 18 70 83 12 70 99 15 71 31 17 71 89 20 73 36 18 75 72 12 76 2 26 76 12 25 76 86 22 78 23 19 78 100 27 79 40 24 80 84 26 80 80 14 81 20 16 82 15 16 82 88 22 83 19 19 84 85 13 84 28 16 85 77 16 85 94 23 86 1 21 87 74 15 87 96 19 90 93 22 92 49 14 95 98 26 95 55 11 97 38 28 99 19 29 99 89 24 100 40 11 >>> generate_wel_file({}, {}) Traceback (most recent call last): ... TypeError: generate_wel_file() missing 1 required positional argument: 'mdata' >>> random.seed(2) >>> engine.generate_graph(generate_lp_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.lp','r') >>> print(file.read()) node(1). node(2). node(3). node(4). node(5). node(6). node(7). node(8). node(9). node(10). edge(4,3,-64). edge(5,6,148). edge(5,9,110). edge(6,10,-139). edge(7,7,7). edge(8,2,-97). edge(9,1,60). >>> random.seed(4) >>> engine.generate_graph(generate_lp_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.lp','r') >>> print(file.read()) node(1). node(2). node(3). node(4). node(5). node(6). node(7). node(8). node(9). node(10). node(11). node(12). node(13). node(14). node(15). node(16). node(17). node(18). node(19). node(20). node(21). node(22). node(23). node(24). node(25). node(26). node(27). node(28). node(29). node(30). edge(1,10,46). edge(2,18,5). edge(2,4,25). edge(2,22,-48). edge(4,23,-17). edge(5,7,-13). edge(7,15,10). edge(7,17,-40). edge(8,8,-42). edge(8,25,11). edge(9,29,-5). edge(10,3,-36). edge(10,27,-48). edge(11,13,-27). edge(11,26,-27). edge(11,21,14). edge(11,16,-2). edge(14,20,-44). edge(14,14,43). edge(14,12,26). edge(15,28,-11). edge(16,30,-40). edge(16,24,20). edge(19,19,7). edge(20,12,-29). edge(20,1,22). edge(22,24,20). edge(22,23,-9). edge(23,18,18). edge(23,27,28). edge(24,6,-24). edge(25,17,23). edge(27,6,-50). edge(28,21,28). edge(28,13,-13). >>> random.seed(2) >>> engine.generate_graph(generate_tgf_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.tgf','r') >>> print(file.read()) 1 2 3 4 5 6 7 8 9 10 # 4 3 -64 5 6 148 5 9 110 6 10 -139 7 7 7 8 2 -97 9 1 60 >>> random.seed(4) >>> engine.generate_graph(generate_tgf_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.tgf','r') >>> print(file.read()) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 # 1 10 46 2 18 5 2 4 25 2 22 -48 4 23 -17 5 7 -13 7 15 10 7 17 -40 8 8 -42 8 25 11 9 29 -5 10 3 -36 10 27 -48 11 13 -27 11 26 -27 11 21 14 11 16 -2 14 20 -44 14 14 43 14 12 26 15 28 -11 16 30 -40 16 24 20 19 19 7 20 12 -29 20 1 22 22 24 20 22 23 -9 23 18 18 23 27 28 24 6 -24 25 17 23 27 6 -50 28 21 28 28 13 -13 >>> random.seed(2) >>> engine.generate_graph(generate_dl_file, 'testfile', {'min_weight':0, 'max_weight':200, 'vertices':10, 'min_edges':0, 'max_edges':2, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 7 >>> file=open('testfile.dl','r') >>> print(file.read()) dl format=edgelist1 n=10 data: 4 3 -64 5 6 148 5 9 110 6 10 -139 7 7 7 8 2 -97 9 1 60 >>> random.seed(4) >>> engine.generate_graph(generate_dl_file, 'testfile2', {'min_weight':0, 'max_weight':50, 'vertices':30, 'min_edges':0, 'max_edges':4, 'sign':1, 'direct':1, 'self_loop':1, 'multigraph':0}) 35 >>> file=open('testfile2.dl','r') >>> print(file.read()) dl format=edgelist1 n=30 data: 1 10 46 2 18 5 2 4 25 2 22 -48 4 23 -17 5 7 -13 7 15 10 7 17 -40 8 8 -42 8 25 11 9 29 -5 10 3 -36 10 27 -48 11 13 -27 11 26 -27 11 21 14 11 16 -2 14 20 -44 14 14 43 14 12 26 15 28 -11 16 30 -40 16 24 20 19 19 7 20 12 -29 20 1 22 22 24 20 22 23 -9 23 18 18 23 27 28 24 6 -24 25 17 23 27 6 -50 28 21 28 28 13 -13 >>> file.close() >>> os.remove('testfile.csv') >>> os.remove('testfile.gml') >>> os.remove('testfile.gexf') >>> os.remove('testfile.tsv') >>> os.remove('testfile.dl') >>> os.remove('testfile.gr') >>> os.remove('testfile.json') >>> os.remove('testfile.lp') >>> os.remove('testfile.p') >>> os.remove('testfile.tgf') >>> os.remove('testfile.wel') >>> os.remove('testfile.yaml') >>> os.remove('testfile.mtx') >>> os.remove('testfile.gdf') >>> os.remove('testfile.gl') >>> os.remove('testfile2.csv') >>> os.remove('testfile2.dl') >>> os.remove('testfile2.gr') >>> os.remove('testfile2.json') >>> os.remove('testfile2.lp') >>> os.remove('testfile2.p') >>> os.remove('testfile2.tgf') >>> os.remove('testfile2.wel') >>> os.remove('testfile2.yaml') >>> os.remove('testfile3.csv') >>> os.remove('testfile4.csv') >>> os.remove('testfile3.gr') >>> os.remove('testfile3.json') >>> os.remove('testfile3.p') >>> os.remove('testfile3.wel') >>> os.remove('testfile3.yaml') >>> os.remove('logfile.log') """