Add python test for float round trip error in GraphQL

[arienandalibi]

Added a python test which reproduces a bug where float values as properties in a graph change very slightly after being sent to the GraphQL server and being retrieved in some way. It seems that some floats never change and other floats change every time.

[github-actions]

⚠️ Performance Alert ⚠️

Possible performance regression was detected for benchmark 'Rust Benchmark'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold 2.

Benchmark suite	Current: 084be54	Previous: 92e9cbd	Ratio
lotr_graph/num_edges	4 ns/iter (± 0)	0 ns/iter (± 0)	+∞
lotr_graph/num_nodes	415 ns/iter (± 1)	2 ns/iter (± 0)	207.50
lotr_graph/graph_latest	4 ns/iter (± 0)	0 ns/iter (± 0)	+∞
lotr_graph_materialise/materialize	9177402 ns/iter (± 142663)	1522839 ns/iter (± 3277)	6.03
lotr_graph_window_100/num_edges	28 ns/iter (± 0)	8 ns/iter (± 0)	3.50
lotr_graph_window_100/num_nodes	466 ns/iter (± 1)	5 ns/iter (± 0)	93.20
lotr_graph_window_100_materialise/materialize	9619869 ns/iter (± 168238)	1652390 ns/iter (± 10068)	5.82
lotr_graph_window_10/has_node_existing	143 ns/iter (± 7)	60 ns/iter (± 12)	2.38
lotr_graph_window_10/iterate nodes	34301 ns/iter (± 81)	11158 ns/iter (± 70)	3.07
lotr_graph_window_10/iterate edges	103188 ns/iter (± 403)	45356 ns/iter (± 311)	2.28
lotr_graph_window_10_materialise/materialize	6319822 ns/iter (± 152371)	1003601 ns/iter (± 4751)	6.30
lotr_graph_subgraph_10pc/has_edge_existing	523 ns/iter (± 4)	87 ns/iter (± 1)	6.01
lotr_graph_subgraph_10pc/num_nodes	306 ns/iter (± 1)	4 ns/iter (± 0)	76.50
lotr_graph_subgraph_10pc/has_node_existing	231 ns/iter (± 2)	30 ns/iter (± 0)	7.70
lotr_graph_subgraph_10pc/iterate nodes	4689 ns/iter (± 16)	828 ns/iter (± 1)	5.66
lotr_graph_subgraph_10pc_windowed/has_node_existing	131 ns/iter (± 10)	64 ns/iter (± 15)	2.05
lotr_graph_subgraph_10pc_windowed/iterate nodes	4496 ns/iter (± 29)	1422 ns/iter (± 4)	3.16
lotr_graph_window_50_layered/num_nodes	108611 ns/iter (± 8402)	27207 ns/iter (± 605)	3.99
lotr_graph_window_50_layered/has_node_existing	1353 ns/iter (± 188)	120 ns/iter (± 15)	11.28
lotr_graph_window_50_layered/max_id	120401 ns/iter (± 6953)	32055 ns/iter (± 822)	3.76
lotr_graph_window_50_layered/max_degree	2014387 ns/iter (± 28975)	297757 ns/iter (± 3250)	6.77
lotr_graph_window_50_layered/iterate nodes	245449 ns/iter (± 1499)	18745 ns/iter (± 163)	13.09
lotr_graph_window_50_layered/iterate edges	212470 ns/iter (± 439)	80618 ns/iter (± 1915)	2.64
lotr_graph_window_50_layered/max_neighbour_degree	3744308 ns/iter (± 78334)	386467 ns/iter (± 1132)	9.69
lotr_graph_window_50_layered/graph_latest	189059 ns/iter (± 5573)	42395 ns/iter (± 1950)	4.46
lotr_graph_window_50_layered_materialise/materialize	20696883 ns/iter (± 517233)	3438954 ns/iter (± 13847)	6.02
lotr_graph_persistent_window_50_layered/num_edges_temporal	589776 ns/iter (± 5304)	211293 ns/iter (± 2596)	2.79
lotr_graph_persistent_window_50_layered/num_nodes	142871 ns/iter (± 5186)	37094 ns/iter (± 1828)	3.85
lotr_graph_persistent_window_50_layered/has_node_existing	1770 ns/iter (± 458)	184 ns/iter (± 91)	9.62
lotr_graph_persistent_window_50_layered/max_id	156752 ns/iter (± 5206)	44676 ns/iter (± 2664)	3.51
lotr_graph_persistent_window_50_layered/max_degree	2823272 ns/iter (± 38169)	448265 ns/iter (± 12243)	6.30
lotr_graph_persistent_window_50_layered/iterate nodes	328210 ns/iter (± 3687)	36586 ns/iter (± 119)	8.97
lotr_graph_persistent_window_50_layered/max_neighbour_degree	5116721 ns/iter (± 159906)	506117 ns/iter (± 2140)	10.11
lotr_graph_persistent_window_50_layered/graph_latest	283319 ns/iter (± 3962)	63308 ns/iter (± 1797)	4.48
lotr_graph_persistent_window_50_layered_materialise/materialize	50924862 ns/iter (± 1533236)	5263639 ns/iter (± 20021)	9.67
lotr_graph/proto_decode	11216745 ns/iter (± 236698)	1897512 ns/iter (± 24491)	5.91
lotr_graph/proto_encode	9236798 ns/iter (± 228782)	1122596 ns/iter (± 59075)	8.23

This comment was automatically generated by workflow using github-action-benchmark.