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tests : other tests updated accordingly.
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@sadrasabouri
sadrasabouri committed May 5, 2024
1 parent 54b2d25 commit 7b6f53e
Showing 1 changed file with 217 additions and 13 deletions.
230 changes: 217 additions & 13 deletions test/engines/erdos_reyni_gilbert_test.py
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Original file line number Diff line number Diff line change
Expand Up @@ -97,7 +97,7 @@
<BLANKLINE>
>>> #################### json_maker ####################
>>> random.seed(2)
>>> engine.gen_using(json_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(json_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.json','r')
>>> testfile_1=json.load(file)
Expand All @@ -107,9 +107,20 @@
1
>>> testfile_1['graph']['edges'][1]['target']
5
>>> random.seed(4)
>>> engine.gen_using(json_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.json','r')
>>> testfile_2=json.load(file)
>>> testfile_2['graph']['nodes'][1]
{'id': 2}
>>> testfile_2['graph']['edges'][1]['source']
3
>>> testfile_2['graph']['edges'][1]['target']
9
>>> #################### csv_maker ####################
>>> random.seed(2)
>>> engine.gen_using(csv_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(csv_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.csv','r')
>>> print(file.read())
Expand All @@ -119,9 +130,23 @@
3,8,1
4,10,1
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(csv_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.csv','r')
>>> print(file.read())
1,6,1
3,9,1
4,6,1
6,3,1
6,4,1
8,4,1
9,3,1
9,10,1
<BLANKLINE>
>>> #################### gdf_maker ####################
>>> random.seed(2)
>>> engine.gen_using(gdf_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(gdf_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.gdf','r')
>>> print(file.read())
Expand All @@ -143,19 +168,56 @@
3,8,1
4,10,1
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(gdf_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.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
1,6,1
3,9,1
4,6,1
6,3,1
6,4,1
8,4,1
9,3,1
9,10,1
<BLANKLINE>
>>> #################### gl_maker ####################
>>> random.seed(2)
>>> engine.gen_using(gl_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(gl_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.gl','r')
>>> print(file.read())
1 4:1 5:1
3 7:1 8:1
4 10:1
>>> random.seed(4)
>>> engine.gen_using(gl_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.gl','r')
>>> print(file.read())
1 6:1
3 9:1
4 6:1
6 3:1 4:1
8 4:1
9 3:1 10:1
>>> #################### mtx_maker ####################
>>> from scipy.io import mmread
>>> random.seed(2)
>>> engine.gen_using(mtx_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(mtx_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> g = mmread("testfile.mtx")
>>> print(g)
Expand All @@ -164,9 +226,22 @@
(2, 6) 1.0
(2, 7) 1.0
(3, 9) 1.0
>>> random.seed(4)
>>> engine.gen_using(mtx_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> g = mmread("testfile2.mtx")
>>> print(g)
(0, 5) 1.0
(2, 8) 1.0
(3, 5) 1.0
(5, 2) 1.0
(5, 3) 1.0
(7, 3) 1.0
(8, 2) 1.0
(8, 9) 1.0
>>> #################### tsv_maker ####################
>>> random.seed(2)
>>> engine.gen_using(tsv_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(tsv_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.tsv','r')
>>> print(file.read())
Expand All @@ -176,9 +251,22 @@
3 8 1
4 10 1
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(tsv_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.tsv','r')
>>> print(file.read())
1 6 1
3 9 1
4 6 1
6 3 1
6 4 1
8 4 1
9 3 1
9 10 1
>>> #################### wel_maker ####################
>>> random.seed(2)
>>> engine.gen_using(wel_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(wel_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.wel','r')
>>> print(file.read())
Expand All @@ -188,9 +276,23 @@
3 8 1
4 10 1
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(wel_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.wel','r')
>>> print(file.read())
1 6 1
3 9 1
4 6 1
6 3 1
6 4 1
8 4 1
9 3 1
9 10 1
<BLANKLINE>
>>> #################### lp_maker ####################
>>> random.seed(2)
>>> engine.gen_using(lp_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(lp_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.lp','r')
>>> print(file.read())
Expand All @@ -210,9 +312,33 @@
edge(3,8,1).
edge(4,10,1).
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(lp_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> 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).
edge(1,6,1).
edge(3,9,1).
edge(4,6,1).
edge(6,3,1).
edge(6,4,1).
edge(8,4,1).
edge(9,3,1).
edge(9,10,1).
<BLANKLINE>
>>> #################### tgf_maker ####################
>>> random.seed(2)
>>> engine.gen_using(tgf_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(tgf_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.tgf','r')
>>> print(file.read())
Expand All @@ -233,9 +359,34 @@
3 8 1
4 10 1
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(tgf_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.tgf','r')
>>> print(file.read())
1
2
3
4
5
6
7
8
9
10
#
1 6 1
3 9 1
4 6 1
6 3 1
6 4 1
8 4 1
9 3 1
9 10 1
<BLANKLINE>
>>> #################### dl_maker ####################
>>> random.seed(2)
>>> engine.gen_using(dl_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(dl_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.dl','r')
>>> print(file.read())
Expand All @@ -249,47 +400,100 @@
3 8 1
4 10 1
<BLANKLINE>
>>> random.seed(4)
>>> engine.gen_using(dl_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.dl','r')
>>> print(file.read())
dl
format=edgelist1
n=10
data:
1 6 1
3 9 1
4 6 1
6 3 1
6 4 1
8 4 1
9 3 1
9 10 1
<BLANKLINE>
>>> #################### gml_maker ####################
>>> from networkx.readwrite.gml import read_gml
>>> random.seed(2)
>>> engine.gen_using(gml_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(gml_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> gml1 = read_gml("testfile.gml")
>>> type(gml1)
<class 'networkx.classes.graph.Graph'>
>>> random.seed(4)
>>> engine.gen_using(gml_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> gml2 = read_gml("testfile2.gml")
>>> type(gml2)
<class 'networkx.classes.digraph.DiGraph'>
>>> #################### gexf_maker ####################
>>> from networkx.readwrite.gexf import read_gexf
>>> random.seed(2)
>>> engine.gen_using(gexf_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(gexf_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> gexf1 = read_gexf("testfile.gexf")
>>> type(gexf1)
<class 'networkx.classes.graph.Graph'>
>>> random.seed(4)
>>> engine.gen_using(gexf_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> gexf2 = read_gexf("testfile2.gexf")
>>> type(gexf2)
<class 'networkx.classes.digraph.DiGraph'>
>>> #################### dot_maker ####################
>>> import pydot
>>> random.seed(2)
>>> engine.gen_using(dot_maker, 'testfile', {'vertices':10, 'probability':0.1})
>>> engine.gen_using(dot_maker, 'testfile', {'vertices':10, 'probability':0.1, 'direct':0})
5
>>> file=open('testfile.gv','r')
>>> g1 = pydot.graph_from_dot_data(file.read())
>>> g1[0].get_type()
'graph'
>>> len(g1[0].get_edge_list())
5
>>> random.seed(4)
>>> engine.gen_using(dot_maker, 'testfile2', {'vertices':10, 'probability':0.1, 'direct':1})
8
>>> file=open('testfile2.gv','r')
>>> g2 = pydot.graph_from_dot_data(file.read())
>>> g2[0].get_type()
'digraph'
>>> len(g2[0].get_edge_list())
8
>>> file.close()
>>> os.remove('testfile.gr')
>>> os.remove('testfile2.gr')
>>> os.remove('testfile.json')
>>> os.remove('testfile2.json')
>>> os.remove('testfile.csv')
>>> os.remove('testfile2.csv')
>>> os.remove('testfile.gdf')
>>> os.remove('testfile2.gdf')
>>> os.remove('testfile.gl')
>>> os.remove('testfile2.gl')
>>> os.remove('testfile.mtx')
>>> os.remove('testfile2.mtx')
>>> os.remove('testfile.tsv')
>>> os.remove('testfile2.tsv')
>>> os.remove('testfile.wel')
>>> os.remove('testfile2.wel')
>>> os.remove('testfile.lp')
>>> os.remove('testfile2.lp')
>>> os.remove('testfile.tgf')
>>> os.remove('testfile2.tgf')
>>> os.remove('testfile.dl')
>>> os.remove('testfile2.dl')
>>> os.remove('testfile.gml')
>>> os.remove('testfile2.gml')
>>> os.remove('testfile.gexf')
>>> os.remove('testfile2.gexf')
>>> os.remove('testfile.gv')
>>> os.remove('testfile2.gv')
>>> os.remove('logfile.log')
"""

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