diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_create_GRO_universe.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_create_GRO_universe.json
index 1b1fb8e0b..f13449a6a 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_create_GRO_universe.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_create_GRO_universe.json	
@@ -1 +1 @@
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diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_parse_GRO_file.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_parse_GRO_file.json
index 5dc4f0fbd..f099d4a08 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_parse_GRO_file.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_parse_GRO_file.json	
@@ -1 +1 @@
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diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_read_GRO_coordinates.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_read_GRO_coordinates.json
index 811ed09c6..092e960eb 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_read_GRO_coordinates.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/GRO.GROReadBench.time_read_GRO_coordinates.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_angle.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_angle.json
index 8512fa68f..2c4738408 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_angle.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_angle.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atomcount.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atomcount.json
index 33d43bf5e..dd12cae32 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atomcount.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atomcount.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atoms.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atoms.json
index 7f6aea354..429e29c29 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atoms.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_atoms.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_bond.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_bond.json
index 25dfeef1a..f8a00eff4 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_bond.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_bond.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_dihedral.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_dihedral.json
index abd121cf3..7d574cf75 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_dihedral.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_dihedral.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_forces.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_forces.json
index 3c71061b2..b0b52b3f7 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_forces.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_forces.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_improper.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_improper.json
index e981de5f0..5b480b3d3 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_improper.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_improper.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_indices.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_indices.json
index 21a55f98b..8bb11ed88 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_indices.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_indices.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_positions.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_positions.json
index 90dc0b1ff..78efe177e 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_positions.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_positions.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residuecount.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residuecount.json
index 446a6cbe6..20be25871 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residuecount.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residuecount.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residues.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residues.json
index cd524d1ed..a34b443db 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residues.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_residues.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segmentcount.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segmentcount.json
index e3599032f..4163b9594 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segmentcount.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segmentcount.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segments.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segments.json
index dbfe16dd3..be7fbfd41 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segments.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_segments.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_ts.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_ts.json
index f29607c47..6200270ad 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_ts.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_ts.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_unique.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_unique.json
index 06faf9051..5cc142d4f 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_unique.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_unique.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_velocity.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_velocity.json
index d130bf065..05ce06927 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_velocity.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupAttrsBench.time_velocity.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json
index 5cfee1539..53d99bf23 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json	
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json
index d44d97e2d..6e15f93f0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json
index a00cec29a..5106b5b91 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json
index 5f0d20760..a25002a39 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json
index 0eb705f1d..36bfd99e5 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_pbc.json
index 1c9062bd6..d94c1e640 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_center_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json
index aa1f02223..4da1da2cd 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json
index 5d5f93072..5f28f643b 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_concatenate.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_concatenate.json
index c6d47c946..be5cac647 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_concatenate.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_concatenate.json	
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_difference.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_difference.json
index cd407708c..dbd6058f0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_difference.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_difference.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_groupby.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_groupby.json
index 79ac4fe43..33809b19a 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_groupby.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_groupby.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json
index e3943eb40..f4d41ba3f 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_intersection.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_intersection.json
index 001dce23f..1ea5a69ab 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_intersection.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_intersection.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json
index 06ce79f69..7075369ab 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json
index 5fd918bd6..776b0ad3f 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json
index 947d5a6b0..c542a5ed0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issubset.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issubset.json
index 9417f5390..17dce2a59 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issubset.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issubset.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issuperset.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issuperset.json
index ebd234d3f..1330298d8 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issuperset.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_issuperset.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json
index 854e640f6..5496c6a33 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotate.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotate.json
index da1e4fc2b..c7c881168 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotate.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotate.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotateby.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotateby.json
index 022dff044..d00f3940b 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotateby.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_rotateby.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_split.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_split.json
index a9a2951a5..a8ac2c8ef 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_split.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_split.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_subtract.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_subtract.json
index 158cb970b..dd52bad9a 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_subtract.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_subtract.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json
index f0cea10ed..d2a81aefe 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_transform.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_transform.json
index 054861f76..7b4dbcdc3 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_transform.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_transform.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_translate.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_translate.json
index b6f838929..575b5bd75 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_translate.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_translate.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_union.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_union.json
index ba6602816..4c9f0b6ae 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_union.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_union.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_wrap.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_wrap.json
index 3689f2c2e..ddcf635d7 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_wrap.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.AtomGroupMethodsBench.time_wrap.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.CompoundSplitting.time_center_compounds.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.CompoundSplitting.time_center_compounds.json
index 65a22fe06..f0943ef9f 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.CompoundSplitting.time_center_compounds.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.CompoundSplitting.time_center_compounds.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_cached_fragments.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_cached_fragments.json
index cbc758a6b..32b18256e 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_cached_fragments.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_cached_fragments.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_fragments.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_fragments.json
index 4961032e4..1ce0b4128 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_fragments.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentCaching.time_find_fragments.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentFinding.time_find_fragments.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentFinding.time_find_fragments.json
index 0833e76eb..57729b7ca 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentFinding.time_find_fragments.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/ag_methods.FragmentFinding.time_find_fragments.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_between.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_between.json
index 643359c6a..95d58427f 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_between.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_between.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_angles.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_angles.json
index be11ba6e4..b80f2d749 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_angles.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_angles.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_bonds.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_bonds.json
index b4f97479d..5ed201051 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_bonds.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_bonds.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_dihedrals.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_dihedrals.json
index a1465ad81..f9b87496b 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_dihedrals.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_calc_dihedrals.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix.json
index 951f24c64..53ae885b0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix.json	
@@ -1 +1 @@
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diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix_sparse.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix_sparse.json
index 634cb0ae4..341f64598 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix_sparse.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix_sparse.json	
@@ -1 +1 @@
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diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist.json
index 3add857a2..3d7df4708 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist_offsets.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist_offsets.json
index b7d3fef08..de0c0e3cc 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist_offsets.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_dist_offsets.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array.json
index 0f79968d1..f64dbffcc 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json
index 25bb9dc7d..03c2f8f48 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array.json
index 4b58556ef..caf154223 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json
index 5e873133f..14a7b3bc0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletBench.time_leafletfinder.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletBench.time_leafletfinder.json
index 7a34ca9ab..05e777a94 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletBench.time_leafletfinder.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletBench.time_leafletfinder.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json
index 54b2d2c00..6a4d62f91 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json
index ac92d1759..00cdd4fed 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json
index b81c4d6dd..99732d1a0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json
index c19f72975..62784c8d0 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json	
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_discrete_frechet.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_discrete_frechet.json
index 0f0d79396..edffa9286 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_discrete_frechet.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_discrete_frechet.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff.json
index 312481ce1..7d0477c86 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_avg.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_avg.json
index 7053d7f64..7de771224 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_avg.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_avg.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json
index c44d6f32c..cc6cfca09 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json
index fcdd54948..fbe2756c4 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_sqnormBench.time_sqnorm.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_sqnormBench.time_sqnorm.json
index 787a2eb78..cc3c43c66 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_sqnormBench.time_sqnorm.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.psa.PSA_sqnormBench.time_sqnorm.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rdf.SimpleRdfBench.time_interrdf.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rdf.SimpleRdfBench.time_interrdf.json
index bd6e5b0bd..c43cc18b1 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rdf.SimpleRdfBench.time_interrdf.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rdf.SimpleRdfBench.time_interrdf.json	
@@ -1 +1 @@
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diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsdTrajBench.time_RMSD.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsdTrajBench.time_RMSD.json
index 37fb310b8..e120eed13 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsdTrajBench.time_RMSD.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsdTrajBench.time_RMSD.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsfTrajBench.time_RMSF.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsfTrajBench.time_RMSF.json
index 1d5e37a62..e97d420da 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsfTrajBench.time_RMSF.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.RmsfTrajBench.time_RMSF.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.SimpleRmsBench.time_rmsd.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.SimpleRmsBench.time_rmsd.json
index 9800c398a..17c499d27 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.SimpleRmsBench.time_rmsd.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/analysis.rms.SimpleRmsBench.time_rmsd.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/import.ImportBench.time_import.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/import.ImportBench.time_import.json
index 5d83bddb3..faaa0655e 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/import.ImportBench.time_import.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/import.ImportBench.time_import.json	
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.GeoSelectionBench.time_geometric_selections.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.GeoSelectionBench.time_geometric_selections.json
index 105b4897a..2c1b6e380 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.GeoSelectionBench.time_geometric_selections.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.GeoSelectionBench.time_geometric_selections.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.SimpleSelectionBench.time_simple_selections.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.SimpleSelectionBench.time_simple_selections.json
index dbc2106dd..d00bff4d7 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.SimpleSelectionBench.time_simple_selections.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/selections.SimpleSelectionBench.time_simple_selections.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/summary.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/summary.json
index e46780636..fc31ab40f 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/summary.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/summary.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/topology.BondsBench.time_bonds.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/topology.BondsBench.time_bonds.json
index e2e357e66..c773f1f27 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/topology.BondsBench.time_bonds.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/topology.BondsBench.time_bonds.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderCreation.time_reads.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderCreation.time_reads.json
index 7e1f2a3d3..850a619b4 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderCreation.time_reads.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderCreation.time_reads.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderIteration.time_strides.json b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderIteration.time_strides.json
index baba28ccb..97bfd62f4 100644
--- a/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderIteration.time_strides.json	
+++ b/graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.11/ram-16GB/scipy/six-null/traj_reader.TrajReaderIteration.time_strides.json	
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/GRO.GROReadBench.time_create_GRO_universe.json b/graphs/summary/GRO.GROReadBench.time_create_GRO_universe.json
index d83df95df..7fe4a6d60 100644
--- a/graphs/summary/GRO.GROReadBench.time_create_GRO_universe.json
+++ b/graphs/summary/GRO.GROReadBench.time_create_GRO_universe.json
@@ -1 +1 @@
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diff --git a/graphs/summary/GRO.GROReadBench.time_parse_GRO_file.json b/graphs/summary/GRO.GROReadBench.time_parse_GRO_file.json
index 028b5c0a5..08ed186b7 100644
--- a/graphs/summary/GRO.GROReadBench.time_parse_GRO_file.json
+++ b/graphs/summary/GRO.GROReadBench.time_parse_GRO_file.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/GRO.GROReadBench.time_read_GRO_coordinates.json b/graphs/summary/GRO.GROReadBench.time_read_GRO_coordinates.json
index bc8d2ff08..ac9391744 100644
--- a/graphs/summary/GRO.GROReadBench.time_read_GRO_coordinates.json
+++ b/graphs/summary/GRO.GROReadBench.time_read_GRO_coordinates.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_angle.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_angle.json
index 43446fc20..9df4bf82c 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_angle.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_angle.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atomcount.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atomcount.json
index 5efae17f8..c99138c28 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atomcount.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atomcount.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atoms.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atoms.json
index 24957c35c..107535691 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atoms.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_atoms.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_bond.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_bond.json
index b7cdf9a4d..29d8399ee 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_bond.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_bond.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_dihedral.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_dihedral.json
index 1c7e97e6d..5eaef69d0 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_dihedral.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_dihedral.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_forces.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_forces.json
index dbf07b1b5..f17b46e50 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_forces.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_forces.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_improper.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_improper.json
index c3f117f80..fcbd0a3c8 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_improper.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_improper.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_indices.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_indices.json
index 78e91840e..31e2b17d1 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_indices.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_indices.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_positions.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_positions.json
index 122e0a11e..705ade808 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_positions.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_positions.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residuecount.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residuecount.json
index b2eefb6d2..216195d4a 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residuecount.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residuecount.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residues.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residues.json
index 317cbfd69..7b5e60870 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residues.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_residues.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segmentcount.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segmentcount.json
index a9f242eab..335eff555 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segmentcount.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segmentcount.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segments.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segments.json
index e63e13131..38dcb6bf4 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segments.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_segments.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_ts.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_ts.json
index b4ab0a26b..1cd9e9652 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_ts.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_ts.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_unique.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_unique.json
index 166ffcea9..98b5e133a 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_unique.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_unique.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_velocity.json b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_velocity.json
index 70dfb1ce6..d3494ee27 100644
--- a/graphs/summary/ag_methods.AtomGroupAttrsBench.time_velocity.json
+++ b/graphs/summary/ag_methods.AtomGroupAttrsBench.time_velocity.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json
index a373ff67d..03d3b57a5 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json
index 1278030c8..2cf2b520c 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bbox_pbc.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json
index b1ddd07c4..caa164dce 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json
index 0354990d0..9161d63fc 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_bsphere_pbc.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json
index 6ad4e083a..6e392027b 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_no_pbc.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_pbc.json
index 98cf322b2..ef2d85386 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_center_pbc.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json
index 606e1800d..24372a38d 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json
index 2f3985c75..c626e4353 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_centroid_pbc.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_concatenate.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_concatenate.json
index 33e3848b2..b3d24c78b 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_concatenate.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_concatenate.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_difference.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_difference.json
index 77823024b..1375b6a47 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_difference.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_difference.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_groupby.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_groupby.json
index 936ed974f..7e7173d02 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_groupby.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_groupby.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json
index 04c5de205..b1115e382 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_guess_bonds.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_intersection.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_intersection.json
index 0eac093e6..ef9493b09 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_intersection.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_intersection.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json
index 898e1f688..ae264ae00 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_subset.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json
index 553853072..90bc47638 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_is_strict_superset.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json
index 28b868a6a..1e601f45f 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_isdisjoint.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issubset.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issubset.json
index bde464d69..0a67905ed 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issubset.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issubset.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issuperset.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issuperset.json
index 11b80dff9..17ca159da 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issuperset.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_issuperset.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json
index b5036b679..3c9b7ced8 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_pack_into_box.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotate.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotate.json
index 887284f7e..5034bf73a 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotate.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotate.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotateby.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotateby.json
index 76ed83d1e..435f9095c 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotateby.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_rotateby.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_split.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_split.json
index 7c7525039..a3eb7c5b5 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_split.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_split.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_subtract.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_subtract.json
index 0a27c2587..230ade43a 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_subtract.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_subtract.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json
index e922bd3b4..dacee579d 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_symmetric_difference.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_transform.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_transform.json
index 384ad021a..5c0c0dc05 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_transform.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_transform.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_translate.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_translate.json
index 625b384de..5e590301b 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_translate.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_translate.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_union.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_union.json
index c8752bf78..51e87f137 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_union.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_union.json
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_wrap.json b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_wrap.json
index 2b1a87354..299a85774 100644
--- a/graphs/summary/ag_methods.AtomGroupMethodsBench.time_wrap.json
+++ b/graphs/summary/ag_methods.AtomGroupMethodsBench.time_wrap.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.CompoundSplitting.time_center_compounds.json b/graphs/summary/ag_methods.CompoundSplitting.time_center_compounds.json
index 948a69c64..efd4787eb 100644
--- a/graphs/summary/ag_methods.CompoundSplitting.time_center_compounds.json
+++ b/graphs/summary/ag_methods.CompoundSplitting.time_center_compounds.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.FragmentCaching.time_find_cached_fragments.json b/graphs/summary/ag_methods.FragmentCaching.time_find_cached_fragments.json
index 2e6e23327..584a87be2 100644
--- a/graphs/summary/ag_methods.FragmentCaching.time_find_cached_fragments.json
+++ b/graphs/summary/ag_methods.FragmentCaching.time_find_cached_fragments.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.FragmentCaching.time_find_fragments.json b/graphs/summary/ag_methods.FragmentCaching.time_find_fragments.json
index 441c5a716..2c5a95e25 100644
--- a/graphs/summary/ag_methods.FragmentCaching.time_find_fragments.json
+++ b/graphs/summary/ag_methods.FragmentCaching.time_find_fragments.json
@@ -1 +1 @@
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diff --git a/graphs/summary/ag_methods.FragmentFinding.time_find_fragments.json b/graphs/summary/ag_methods.FragmentFinding.time_find_fragments.json
index 2a77d4caa..60084d190 100644
--- a/graphs/summary/ag_methods.FragmentFinding.time_find_fragments.json
+++ b/graphs/summary/ag_methods.FragmentFinding.time_find_fragments.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.distances.DistancesBench.time_between.json b/graphs/summary/analysis.distances.DistancesBench.time_between.json
index 712deda5e..e32741429 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_between.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_between.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.distances.DistancesBench.time_calc_angles.json b/graphs/summary/analysis.distances.DistancesBench.time_calc_angles.json
index 7413f2f21..cea4607b9 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_calc_angles.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_calc_angles.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_calc_bonds.json b/graphs/summary/analysis.distances.DistancesBench.time_calc_bonds.json
index 81fd0f4ae..be3276014 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_calc_bonds.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_calc_bonds.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_calc_dihedrals.json b/graphs/summary/analysis.distances.DistancesBench.time_calc_dihedrals.json
index 58ee7eb35..a335a6d18 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_calc_dihedrals.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_calc_dihedrals.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix.json b/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix.json
index 0f691176b..3f062ee1a 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix_sparse.json b/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix_sparse.json
index a8faf5e59..0a16962f0 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix_sparse.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_contact_matrix_sparse.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_dist.json b/graphs/summary/analysis.distances.DistancesBench.time_dist.json
index 5a5f5401a..4b8eefd77 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_dist.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_dist.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_dist_offsets.json b/graphs/summary/analysis.distances.DistancesBench.time_dist_offsets.json
index 2d8d6463f..943c2c3bb 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_dist_offsets.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_dist_offsets.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_distance_array.json b/graphs/summary/analysis.distances.DistancesBench.time_distance_array.json
index 62e262504..732c04668 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_distance_array.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_distance_array.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json b/graphs/summary/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json
index da3ed1ee1..ce1e908f3 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_distance_array_pre_allocated.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array.json b/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array.json
index 8d779dfb8..b9bbe2de8 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json b/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json
index 76d1b8f15..f05054b96 100644
--- a/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json
+++ b/graphs/summary/analysis.distances.DistancesBench.time_self_distance_array_pre_allocated.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.leaflet.LeafletBench.time_leafletfinder.json b/graphs/summary/analysis.leaflet.LeafletBench.time_leafletfinder.json
index 065903b1a..9a210f04e 100644
--- a/graphs/summary/analysis.leaflet.LeafletBench.time_leafletfinder.json
+++ b/graphs/summary/analysis.leaflet.LeafletBench.time_leafletfinder.json
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diff --git a/graphs/summary/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json b/graphs/summary/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json
index ad23460ca..620a461d6 100644
--- a/graphs/summary/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json
+++ b/graphs/summary/analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json b/graphs/summary/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json
index 31a0ecd4d..00f0f0baf 100644
--- a/graphs/summary/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json
+++ b/graphs/summary/analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes.json
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/graphs/summary/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json b/graphs/summary/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json
index da26884e9..f48b9e350 100644
--- a/graphs/summary/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json
+++ b/graphs/summary/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json b/graphs/summary/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json
index 0c7870e55..3f5db7e80 100644
--- a/graphs/summary/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json
+++ b/graphs/summary/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/analysis.psa.PSA_metricBench.time_discrete_frechet.json b/graphs/summary/analysis.psa.PSA_metricBench.time_discrete_frechet.json
index dbe62e416..ab95ffb6f 100644
--- a/graphs/summary/analysis.psa.PSA_metricBench.time_discrete_frechet.json
+++ b/graphs/summary/analysis.psa.PSA_metricBench.time_discrete_frechet.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff.json b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff.json
index 2be21ab9d..15fdda04d 100644
--- a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff.json
+++ b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_avg.json b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_avg.json
index 7f0deb0c3..6e0ff6d46 100644
--- a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_avg.json
+++ b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_avg.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json
index ef3cc4f2f..2feeca29a 100644
--- a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json
+++ b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_neighbors.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json
index 91119a14e..2972e43c4 100644
--- a/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json
+++ b/graphs/summary/analysis.psa.PSA_metricBench.time_hausdorff_wavg.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.psa.PSA_sqnormBench.time_sqnorm.json b/graphs/summary/analysis.psa.PSA_sqnormBench.time_sqnorm.json
index 4a7756eaf..f47eef17f 100644
--- a/graphs/summary/analysis.psa.PSA_sqnormBench.time_sqnorm.json
+++ b/graphs/summary/analysis.psa.PSA_sqnormBench.time_sqnorm.json
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/graphs/summary/analysis.rdf.SimpleRdfBench.time_interrdf.json b/graphs/summary/analysis.rdf.SimpleRdfBench.time_interrdf.json
index 52107a625..9640c4f99 100644
--- a/graphs/summary/analysis.rdf.SimpleRdfBench.time_interrdf.json
+++ b/graphs/summary/analysis.rdf.SimpleRdfBench.time_interrdf.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.rms.RmsdTrajBench.time_RMSD.json b/graphs/summary/analysis.rms.RmsdTrajBench.time_RMSD.json
index 24e1adb46..3d63839ba 100644
--- a/graphs/summary/analysis.rms.RmsdTrajBench.time_RMSD.json
+++ b/graphs/summary/analysis.rms.RmsdTrajBench.time_RMSD.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/analysis.rms.RmsfTrajBench.time_RMSF.json b/graphs/summary/analysis.rms.RmsfTrajBench.time_RMSF.json
index 062b6c6be..a89a3c682 100644
--- a/graphs/summary/analysis.rms.RmsfTrajBench.time_RMSF.json
+++ b/graphs/summary/analysis.rms.RmsfTrajBench.time_RMSF.json
@@ -1 +1 @@
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diff --git a/graphs/summary/analysis.rms.SimpleRmsBench.time_rmsd.json b/graphs/summary/analysis.rms.SimpleRmsBench.time_rmsd.json
index 23e1a3496..a93055fd0 100644
--- a/graphs/summary/analysis.rms.SimpleRmsBench.time_rmsd.json
+++ b/graphs/summary/analysis.rms.SimpleRmsBench.time_rmsd.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/import.ImportBench.time_import.json b/graphs/summary/import.ImportBench.time_import.json
index 8c9fe3ce1..ca7d45a22 100644
--- a/graphs/summary/import.ImportBench.time_import.json
+++ b/graphs/summary/import.ImportBench.time_import.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/selections.GeoSelectionBench.time_geometric_selections.json b/graphs/summary/selections.GeoSelectionBench.time_geometric_selections.json
index 42badc390..902e0d1ff 100644
--- a/graphs/summary/selections.GeoSelectionBench.time_geometric_selections.json
+++ b/graphs/summary/selections.GeoSelectionBench.time_geometric_selections.json
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/graphs/summary/selections.SimpleSelectionBench.time_simple_selections.json b/graphs/summary/selections.SimpleSelectionBench.time_simple_selections.json
index 39eb4c368..4411c28ec 100644
--- a/graphs/summary/selections.SimpleSelectionBench.time_simple_selections.json
+++ b/graphs/summary/selections.SimpleSelectionBench.time_simple_selections.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/graphs/summary/topology.BondsBench.time_bonds.json b/graphs/summary/topology.BondsBench.time_bonds.json
index 748c25109..9e353e610 100644
--- a/graphs/summary/topology.BondsBench.time_bonds.json
+++ b/graphs/summary/topology.BondsBench.time_bonds.json
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\ No newline at end of file
diff --git a/graphs/summary/traj_reader.TrajReaderCreation.time_reads.json b/graphs/summary/traj_reader.TrajReaderCreation.time_reads.json
index 176bc6fd3..bfccd3f99 100644
--- a/graphs/summary/traj_reader.TrajReaderCreation.time_reads.json
+++ b/graphs/summary/traj_reader.TrajReaderCreation.time_reads.json
@@ -1 +1 @@
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diff --git a/graphs/summary/traj_reader.TrajReaderIteration.time_strides.json b/graphs/summary/traj_reader.TrajReaderIteration.time_strides.json
index 41f86cc44..bac76211d 100644
--- a/graphs/summary/traj_reader.TrajReaderIteration.time_strides.json
+++ b/graphs/summary/traj_reader.TrajReaderIteration.time_strides.json
@@ -1 +1 @@
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\ No newline at end of file
diff --git a/index.json b/index.json
index 91d281b78..e898f0945 100644
--- a/index.json
+++ b/index.json
@@ -1 +1 @@
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1713767253000, "21418": 1713768580000, "21434": 1714330364000, "21435": 1714330587000, "21469": 1715173256000, "21492": 1716509748000, "21495": 1716763690000, "21509": 1717117694000, "21550": 1718697808000, "21558": 1718751033000, "21565": 1719062489000, "21570": 1719066743000, "21583": 1720090154000, "21595": 1721182991000, "21609": 1721802867000, "21614": 1721834720000, "21618": 1721867799000, "21631": 1722191792000, "21643": 1722988403000, "21655": 1723835551000, "21660": 1724317272000, "21698": 1724616493000, "21702": 1724666869000, "21727": 1725204095000, "21754": 1725674258000, "21762": 1725726052000, "21770": 1725796574000, "21785": 1725909222000, "21798": 1725941089000, "21801": 1726273184000, "21847": 1727312636000, "21854": 1727425432000, "21856": 1727431157000, "21869": 1727555996000, "21876": 1727814520000, "21884": 1727858586000, "21899": 1728274662000, "21903": 1728331627000, "21933": 1728858360000, "21952": 1728933134000, "21953": 1728933771000, "21996": 1729304644000, "22005": 1729338823000, "22008": 1729347660000, "22032": 1729386274000, "22074": 1729798562000, "22109": 1729883025000, "22115": 1729884967000, "22117": 1729889143000, "22128": 1729943182000, "22129": 1729943252000, "22131": 1729945589000, "22148": 1729991218000, "22178": 1730468319000, "22189": 1731344466000, "22192": 1731348059000, "22196": 1731352714000, "22225": 1732142102000}, "params": {"Cython": ["", "0.27"], "MDAnalysisTests": ["", null], "arch": ["x86_64"], "cpu": ["Intel(R) Core(TM) i9-7900X CPU @ 3.30GHz", "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz"], "machine": ["c3potato", "gp160"], "mock": ["", null], "nose": ["", null], "numpy": [""], "os": ["Linux 3.16.0-4-amd64", "Linux 4.10.0-35-generic"], "psutil": ["", null], "pytest": ["", null], "python": ["2.7", "3.11", "3.6", "3.8", "3.9"], "ram": ["128GB", "16GB"], "scipy": [""], "six": ["", null], "mdanalysistests": ["", null], "branch": ["develop"]}, "graph_param_list": [{"Cython": "", "MDAnalysisTests": "", "arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "mock": "", "nose": "", "numpy": "", "os": "Linux 3.16.0-4-amd64", "psutil": "", "pytest": "", "python": "2.7", "ram": "16GB", "scipy": "", "six": "", "branch": "develop", "mdanalysistests": null}, {"Cython": "0.27", "arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "mdanalysistests": "", "numpy": "", "os": "Linux 3.16.0-4-amd64", "python": "2.7", "ram": "16GB", "scipy": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.9", "Cython": "", "numpy": "", "scipy": "", "mdanalysistests": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.11", "Cython": "", "numpy": "", "scipy": "", "mdanalysistests": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.8", "Cython": "", "numpy": "", "scipy": "", "mdanalysistests": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"Cython": "", "arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "mdanalysistests": "", "numpy": "", "os": "Linux 3.16.0-4-amd64", "python": "2.7", "ram": "16GB", "scipy": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.6", "Cython": "", "mdanalysistests": "", "numpy": "", "scipy": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}], "benchmarks": {"GRO.GROReadBench.time_create_GRO_universe": {"code": "class GROReadBench:\n    def time_create_GRO_universe(self):\n        \"\"\"Time to create MDA Universe of GRO\"\"\"\n        u = mda.Universe(GRO)", "min_run_count": 2, "name": "GRO.GROReadBench.time_create_GRO_universe", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "85e9386a1154d866631322425b43e682903a28a89efb74527110189dcbd24a4a", "warmup_time": -1}, "GRO.GROReadBench.time_parse_GRO_file": {"code": "class GROReadBench:\n    def time_parse_GRO_file(self):\n        \"\"\"Time to create topology from GRO file\"\"\"\n        p = GROParser(GRO)\n        top = p.parse()", "min_run_count": 2, "name": "GRO.GROReadBench.time_parse_GRO_file", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7d0bec284a3cc88727c887e20b4d7a7a6fb3dc8b9a3fed98a8bee728f5920227", "warmup_time": -1}, "GRO.GROReadBench.time_read_GRO_coordinates": {"code": "class GROReadBench:\n    def time_read_GRO_coordinates(self):\n        \"\"\"Benchmark reading of standard testsuite GRO file.\"\"\"\n        GROReader(GRO)", "min_run_count": 2, "name": "GRO.GROReadBench.time_read_GRO_coordinates", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "987e7a4b2431ce8645e1a4d7c1135f76c9b35e5eb29b0f6818860f96531be147", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_angle": {"code": "class AtomGroupAttrsBench:\n    def time_angle(self, num_atoms):\n        \"\"\"Benchmark simple angle\n        calculation. Requires ag\n        with three atoms.\n        \"\"\"\n        self.ag[:3].angle\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_angle", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "a83a2ce99c0673f57ac3eac16b49a9db026ae64b6fcaa4389bf47eed59124dbb", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_atomcount": {"code": "class AtomGroupAttrsBench:\n    def time_atomcount(self, num_atoms):\n        \"\"\"Benchmark counting of atoms in\n        atomgroup.\n        \"\"\"\n        self.ag.n_atoms\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_atomcount", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d31f8341e31a7bc198133f258c72536b54ec904f97ac4f28a767f9970856818a", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_atoms": {"code": "class AtomGroupAttrsBench:\n    def time_atoms(self, num_atoms):\n        \"\"\"Benchmark returning of identical\n        atomgroup.\n        \"\"\"\n        self.ag.atoms\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_atoms", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6cd2f945901dc324d1dabcb388bc3fe0c3b5977d49056e5d7a7859c40e2c9af8", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_bond": {"code": "class AtomGroupAttrsBench:\n    def time_bond(self, num_atoms):\n        \"\"\"Benchmark Bond object creation.\n        Requires ag of size 2.\n        \"\"\"\n        self.ag[:2].bond\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_bond", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3507b8355b5b01697e086a646c559412d09fde51fc7139f4524f7cb58aa7ae67", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_dihedral": {"code": "class AtomGroupAttrsBench:\n    def time_dihedral(self, num_atoms):\n        \"\"\"Benchmark Dihedral object\n        creation time. Requires ag of\n        size 4.\n        \"\"\"\n        self.ag[:4].dihedral\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_dihedral", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5775f1a2f7666febcc47f94b77702bd75a2a7ccd7c9044265c965dbad779a351", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_forces": {"code": "class AtomGroupAttrsBench:\n    def time_forces(self, num_atoms):\n        \"\"\"Benchmark atomgroup force\n        calculation.\n        \"\"\"\n        try:\n            self.ag.forces\n        except NoDataError:\n            pass\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_forces", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0186fc73e76b8e3f8cb39e7e11f7c6e9837d800b2379b14591432ee9e710d69e", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_improper": {"code": "class AtomGroupAttrsBench:\n    def time_improper(self, num_atoms):\n        \"\"\"Benchmark improper dihedral\n        calculation. Requires ag of size\n        4.\n        \"\"\"\n        self.ag[:4].improper\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_improper", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d7ba217b21841225ff1df0b473d66794db6b2c92c56bbb3cb04c042fb43e967c", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_indices": {"code": "class AtomGroupAttrsBench:\n    def time_indices(self, num_atoms):\n        \"\"\"Benchmark atom index calculation.\n        \"\"\"\n        self.ag.ix\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_indices", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "8a27cd7f019ca3f35aa37d112e72f6b0311c37dee14a33adff3dffd8b6ee2602", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_positions": {"code": "class AtomGroupAttrsBench:\n    def time_positions(self, num_atoms):\n        \"\"\"Benchmark returning the positions\n        of the atoms in the group.\n        \"\"\"\n        self.ag.positions\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_positions", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7f538e5ccf7c68b715cb9ba1f0a85764faa5e09216ba83be3b88804f26504dcd", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_residuecount": {"code": "class AtomGroupAttrsBench:\n    def time_residuecount(self, num_atoms):\n        \"\"\"Benchmark counting of residues in\n        atomgroup.\n        \"\"\"\n        self.ag.n_residues\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_residuecount", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6ba8023af1d40da84022b2eba1e494b20eb80d1257fa5beabc2206f8d380b237", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_residues": {"code": "class AtomGroupAttrsBench:\n    def time_residues(self, num_atoms):\n        \"\"\"Benchmark creation of the ResidueGroup\n        from the AtomGroup.\n        \"\"\"\n        self.ag.residues\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_residues", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "72655f2bf91db254ada1b26646da826894a223384a4691f99b06b291107b938e", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_segmentcount": {"code": "class AtomGroupAttrsBench:\n    def time_segmentcount(self, num_atoms):\n        \"\"\"Benchmark counting of segments in\n        atomgroup.\n        \"\"\"\n        self.ag.n_segments\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_segmentcount", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "ea9ccc59b78a3786c8ed142a014c476162b2d37437c8f93a4b05644dd851aede", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_segments": {"code": "class AtomGroupAttrsBench:\n    def time_segments(self, num_atoms):\n        \"\"\"Benchmark determination of sorted\n        SegmentGroup from AtomGroup.\n        \"\"\"\n        self.ag.segments\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_segments", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "ec21432839b2caac695337844d8b3feff546e74083cc61d846692523160bcf70", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_ts": {"code": "class AtomGroupAttrsBench:\n    def time_ts(self, num_atoms):\n        \"\"\"Benchmark returning of a timestep\n        instance from atomgroup.\n        \"\"\"\n        self.ag.ts\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_ts", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0aadba3b29a020c1edbc55253049c8f9dc252759321e51f110ca895d99ce52a6", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_unique": {"code": "class AtomGroupAttrsBench:\n    def time_unique(self, num_atoms):\n        \"\"\"Benchmark determination of unique\n        elements in atomgroup.\n        \"\"\"\n        self.ag.unique\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_unique", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "1c2345530d78545ab7011e17420325ec0f2b12a472ade667a7253fd672a06f70", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_velocity": {"code": "class AtomGroupAttrsBench:\n    def time_velocity(self, num_atoms):\n        \"\"\"Benchmark atomgroup velocity\n        values return.\n        \"\"\"\n        try:\n            self.ag.velocities\n        except NoDataError:\n            pass\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_velocity", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3841e8cfb0518bdc257c0479f3844b8bdf80ee1e2bf7b2245ba4ba95533e2ce8", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bbox_no_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding box calculation\n        with pbc inactive.\n        \"\"\"\n        self.ag.bbox(pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "f4d3c92e8dc5efa1a09726e3c1dea49453d5625ee6952475869546919575a0ed", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bbox_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bbox_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding box calculation\n        with pbc active.\n        \"\"\"\n        self.ag.bbox(pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bbox_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "02deed74348541e19fd7811f9aa232bd53410903de3a1432d7cc090a3184198e", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bsphere_no_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding sphere calculation\n        with pbc inactive.\n        \"\"\"\n        self.ag.bsphere(pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7f229e23767623d3052357b0d2e36620742990cbec01fa9df982997a64d0b558", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bsphere_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bsphere_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding sphere calculation\n        with pbc active.\n        \"\"\"\n        self.ag.bsphere(pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bsphere_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "669f068c60e5023f28ea98225386244efdd0907ea6895c590088cfd170bef050", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_center_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_center_no_pbc(self, num_atoms):\n        \"\"\"Benchmark center calculation with\n        pbc inactive.\n        \"\"\"\n        self.ag.center(weights=self.weights,\n                       pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_center_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5499bbde1d376804c4c410b7cac45ebc709dc4065d374891ccaca4c67b497d8d", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_center_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_center_pbc(self, num_atoms):\n        \"\"\"Benchmark center calculation with\n        pbc active.\n        \"\"\"\n        self.ag.center(weights=self.weights,\n                       pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_center_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9e281b5399aef60e0a823b2a228dee94c0e31bd95d8806c1e15b861cf23d83b6", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_centroid_no_pbc(self, num_atoms):\n        \"\"\"Benchmark centroid calculation with\n        pbc inactive.\n        \"\"\"\n        self.ag.centroid(pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "56366be992afa8468328495085d4bd7f270fe821af6b4412e097e071a5841aba", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_centroid_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_centroid_pbc(self, num_atoms):\n        \"\"\"Benchmark centroid calculation with\n        pbc active.\n        \"\"\"\n        self.ag.centroid(pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_centroid_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7ce43af0540e7c4b35689a263dfc228d0a4a2d2d92727d2d44b1e397c32a8726", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_concatenate": {"code": "class AtomGroupMethodsBench:\n    def time_concatenate(self, num_atoms):\n        \"\"\"Benchmark atomgroup concatenation.\n        \"\"\"\n        self.ag.concatenate(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_concatenate", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d5249c87dfce2c91bde201106b2e4198849051c93364564de86ce872159c1428", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_difference": {"code": "class AtomGroupMethodsBench:\n    def time_difference(self, num_atoms):\n        \"\"\"Benchmark atomgroup difference\n        operation.\n        \"\"\"\n        self.ag.difference(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_difference", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "56ce3f2f2c4257dee720e7b07315ce2595afc66137f7324b405ebfb060e65dd3", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_groupby": {"code": "class AtomGroupMethodsBench:\n    def time_groupby(self, num_atoms):\n        \"\"\"Benchmark atomgroup groupby\n        operation.\n        \"\"\"\n        self.ag.groupby('resnames')\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_groupby", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e42dfd364b2726e568511c4eae084feead8bd62e3ac3d2046ca6c0ae2a061363", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_guess_bonds": {"code": "class AtomGroupMethodsBench:\n    def time_guess_bonds(self, num_atoms):\n        \"\"\"Benchmark atomgroup bond guessing\n        with artificially-seeded vdw values.\n        \"\"\"\n        self.ag.guess_bonds(self.vdwradii)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_guess_bonds", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "b22111561b487e88b079412e82b48de4d70d39b0c868ec64305cebdcdf3ecd0b", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_intersection": {"code": "class AtomGroupMethodsBench:\n    def time_intersection(self, num_atoms):\n        \"\"\"Benchmark ag intersection.\n        \"\"\"\n        self.ag.intersection(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_intersection", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "af81d67c8ba6789db6632156d5ee37d16c1d7145bc51d97faf62f5a44e71a216", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_is_strict_subset": {"code": "class AtomGroupMethodsBench:\n    def time_is_strict_subset(self, num_atoms):\n        \"\"\"Benchmark ag strict subset operation.\n        \"\"\"\n        self.ag.is_strict_subset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_is_strict_subset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "4dff2b0102568196662f408ec7682e479b1f28f3c0811e1d09928f67803ff1fd", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_is_strict_superset": {"code": "class AtomGroupMethodsBench:\n    def time_is_strict_superset(self, num_atoms):\n        \"\"\"Benchmark ag strict superset operation.\n        \"\"\"\n        self.ag.is_strict_superset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_is_strict_superset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "2c81f4e274971df7fb627c5c8e82a821572d65175a56f86824b9a5d644170653", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_isdisjoint": {"code": "class AtomGroupMethodsBench:\n    def time_isdisjoint(self, num_atoms):\n        \"\"\"Benchmark disjoint operation between\n        atomgroups.\n        \"\"\"\n        self.ag.isdisjoint(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_isdisjoint", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9573a798d7d80b64066ae7114626b83b763312b43c4435eac392b8c0d3fb8a08", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_issubset": {"code": "class AtomGroupMethodsBench:\n    def time_issubset(self, num_atoms):\n        \"\"\"Benchmark subset operation between\n        atomgroups.\n        \"\"\"\n        self.ag.issubset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_issubset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "f6bd03304591ed1af9f0654198f07148f408505a8ba8d1ec24c4613d5980686b", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_issuperset": {"code": "class AtomGroupMethodsBench:\n    def time_issuperset(self, num_atoms):\n        \"\"\"Benchmark superset operation between\n        atomgroups.\n        \"\"\"\n        self.ag.issuperset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_issuperset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "da0c4343c5544f68e3ee19e45eb427df5f51ad6fdf3d3a1380d864a310e832f1", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_pack_into_box": {"code": "class AtomGroupMethodsBench:\n    def time_pack_into_box(self, num_atoms):\n        \"\"\"Benchmark shifting atoms of ag\n        into primary unit cell, using\n        default parameters.\n        \"\"\"\n        self.ag.pack_into_box()\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_pack_into_box", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "54f8934b8fe61ba797a7909743b108e39de31f183b1e1ae485cf0f6ce32462c7", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_rotate": {"code": "class AtomGroupMethodsBench:\n    def time_rotate(self, num_atoms):\n        \"\"\"Benchmark simple rotation operation\n        on atomgroup.\n        \"\"\"\n        self.ag.rotate(self.rot_matrix)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_rotate", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6e1749c80e708a81dc9b1c9e930f935e6c602721ffd2c8aaef3124f78895e3fc", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_rotateby": {"code": "class AtomGroupMethodsBench:\n    def time_rotateby(self, num_atoms):\n        \"\"\"Benchmark rotation by an angle\n        of the ag coordinates.\n        \"\"\"\n        self.ag.rotateby(angle=45,\n                         axis=[1,0,0])\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_rotateby", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3a363526876a2804ba8aa888ffe51737d852a4f374b4afcea48089e448dd31cb", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_split": {"code": "class AtomGroupMethodsBench:\n    def time_split(self, num_atoms):\n        \"\"\"Benchmark ag splitting into\n        multiple ags based on a simple\n        criterion.\n        \"\"\"\n        self.ag.split('residue')\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_split", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "416f626f3c7231a69b7aeff75fba459fe50c0154712be099617e3bbb6e5916d4", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_subtract": {"code": "class AtomGroupMethodsBench:\n    def time_subtract(self, num_atoms):\n        \"\"\"Benchmark ag subtraction.\n        \"\"\"\n        self.ag.subtract(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_subtract", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "a850d565fa6aecc39128e9d35a85496508288f8b8989d9fdb21f77796d838786", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_symmetric_difference": {"code": "class AtomGroupMethodsBench:\n    def time_symmetric_difference(self, num_atoms):\n        \"\"\"Benchmark ag symmetric difference\n        operation.\n        \"\"\"\n        self.ag.symmetric_difference(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_symmetric_difference", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0f5ae06c5f76555fb6a63e41f85fd32373e10d49a309803a4b06be75e05ec0a9", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_transform": {"code": "class AtomGroupMethodsBench:\n    def time_transform(self, num_atoms):\n        \"\"\"Benchmark application of transformation\n        matrix to atomgroup.\n        \"\"\"\n        self.ag.transform(self.trans)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_transform", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6dc5031197d6b02edba0f8d4bd19cec798be5c5b740547575f7cade39a38b391", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_translate": {"code": "class AtomGroupMethodsBench:\n    def time_translate(self, num_atoms):\n        \"\"\"Benchmark the application of a\n        translation vector to the ag\n        coordinates.\n        \"\"\"\n        self.ag.translate([0,0.5,1])\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_translate", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "97a8195e6e8cd22f3b5cfa3a9f162d518b497d64e2cd734e91212b74e9620d3a", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_union": {"code": "class AtomGroupMethodsBench:\n    def time_union(self, num_atoms):\n        \"\"\"Benchmark union operation\n        on atomgroups.\n        \"\"\"\n        self.ag.union(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_union", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3e19a73408a52eca4f12d1df1f083093bf51de80adc8a78f3448451658ae113b", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_wrap": {"code": "class AtomGroupMethodsBench:\n    def time_wrap(self, num_atoms):\n        \"\"\"Benchmark wrap() operation on\n        atomgroup with default params.\n        \"\"\"\n        self.ag.wrap()\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_wrap", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e17b327697d267cf044412cc544be3b2e309edad29b10d0ab5af64a7b847d269", "warmup_time": -1}, "ag_methods.CompoundSplitting.time_center_compounds": {"code": "class CompoundSplitting:\n    def time_center_compounds(self, *args):\n        self.u.atoms.center(None, compound='residues')\n\n    def setup(self, n_atoms, n_compounds, homogeneous, contiguous):\n        rg = np.random.Generator(np.random.MT19937(3000))\n    \n        # some parameter screening for nonsensical combinations.\n        if n_compounds > n_atoms:\n            raise NotImplementedError\n    \n        if n_compounds == 1 and not (homogeneous and contiguous):\n            raise NotImplementedError\n    \n        if n_compounds == n_atoms:\n            if not (homogeneous and contiguous):\n                raise NotImplementedError\n            compound_indices = np.arange(n_compounds)\n        elif homogeneous:\n            ats_per_compound, remainder = divmod(n_atoms, n_compounds)\n            if remainder:\n                raise NotImplementedError\n            compound_indices = np.tile(np.arange(n_compounds),\n                                       (ats_per_compound, 1)).T.ravel()\n        else:\n            compound_indices = np.sort(np.floor(rg.random(n_atoms)\n                                                * n_compounds).astype(np.int))\n    \n        unique_indices = np.unique(compound_indices)\n        if len(unique_indices) != n_compounds:\n            raise RuntimeError\n    \n        if not contiguous:\n            rg.shuffle(compound_indices)\n    \n        self.u = MDAnalysis.Universe.empty(n_atoms,\n                                           n_residues=n_compounds,\n                                           n_segments=1,\n                                           atom_resindex=compound_indices,\n                                           trajectory=True)\n        self.u.atoms.positions = rg.random((n_atoms, 3),\n                                           dtype=np.float32) * 100\n        self.u.dimensions = [50, 50, 50, 90, 90, 90]", "min_run_count": 2, "name": "ag_methods.CompoundSplitting.time_center_compounds", "number": 0, "param_names": ["param1", "param2", "param3", "param4"], "params": [["100", "10000", "1000000"], ["1", "10", "100"], ["True", "False"], ["True", "False"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "1a2731a96f06d85a503ae24d79262851ff5c7c0755d17baf7819456d54075f17", "warmup_time": -1}, "ag_methods.FragmentCaching.time_find_cached_fragments": {"code": "class FragmentCaching:\n    def time_find_cached_fragments(self, universe_type):\n        frags = self.u.atoms.fragments\n\n    def setup(self, universe_type):\n        super(FragmentCaching, self).setup(universe_type)\n        frags = self.u.atoms.fragments  # Priming the cache", "min_run_count": 2, "name": "ag_methods.FragmentCaching.time_find_cached_fragments", "number": 0, "param_names": ["universe_type"], "params": [["'large_fragment_small_solvents'", "'large_fragment'", "'polymer_chains'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e10a712eaf0f8c9a2489bc4f2dbc9677be29528aa3314aa5bcb814b05e4c5cd8", "warmup_time": -1}, "ag_methods.FragmentCaching.time_find_fragments": {"code": "class FragmentFinding:\n    def time_find_fragments(self, universe_type):\n        frags = self.u.atoms.fragments\n\nclass FragmentCaching:\n    def setup(self, universe_type):\n        super(FragmentCaching, self).setup(universe_type)\n        frags = self.u.atoms.fragments  # Priming the cache", "min_run_count": 2, "name": "ag_methods.FragmentCaching.time_find_fragments", "number": 0, "param_names": ["universe_type"], "params": [["'large_fragment_small_solvents'", "'large_fragment'", "'polymer_chains'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9ee4ba9d30022cba05eab57475bff54164b9f4ffc8a37286663ae8befdd78225", "warmup_time": -1}, "ag_methods.FragmentFinding.time_find_fragments": {"code": "class FragmentFinding:\n    def time_find_fragments(self, universe_type):\n        frags = self.u.atoms.fragments\n\n    def setup(self, universe_type):\n        if universe_type == 'large_fragment_small_solvents':\n            univ = (TPR, XTC)\n        elif universe_type == 'large_fragment':\n            univ = (PSF, DCD)\n        else:\n            univ = (TRZ_psf, TRZ)\n        self.u = MDAnalysis.Universe(*univ)", "min_run_count": 2, "name": "ag_methods.FragmentFinding.time_find_fragments", "number": 0, "param_names": ["universe_type"], "params": [["'large_fragment_small_solvents'", "'large_fragment'", "'polymer_chains'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7629f34633e0ba4daad90ab0adc33965e3f05cd82382570a2941d46085851b39", "warmup_time": -1}, "analysis.distances.DistancesBench.time_between": {"code": "class DistancesBench:\n    def time_between(self, num_atoms):\n        \"\"\"Benchmark determination of subgroup\n        of atomgroup that is within a specific\n        distance of two other atomgroups.\n        \"\"\"\n        distances.between(\n            group=self.ag3, A=self.ag1, B=self.ag2, distance=15.0\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_between", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "06923b19f8f155c8ef51227176b95f08c0b87f7f7f81ff6a72eaebe8b2927bca", "warmup_time": -1}, "analysis.distances.DistancesBench.time_calc_angles": {"code": "class DistancesBench:\n    def time_calc_angles(self, num_atoms):\n        \"\"\"Benchmark calculation of angles between\n        atoms in three atomgroups.\n        \"\"\"\n        mda.lib.distances.calc_angles(\n            self.coords_1, self.coords_2, self.coords_3\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_calc_angles", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3bf2d6564e727c2553e682fe2f6290e199915ad8f0ea5bd8d0dc8e6a35c8c193", "warmup_time": -1}, "analysis.distances.DistancesBench.time_calc_bonds": {"code": "class DistancesBench:\n    def time_calc_bonds(self, num_atoms):\n        \"\"\"Benchmark calculation of bonds between\n        atoms in two atomgroups.\n        \"\"\"\n        mda.lib.distances.calc_bonds(self.coords_1, self.coords_2)\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_calc_bonds", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "c82f8a3b8b73aa472c1b332c89f7225cdc60f0a35fc6f526d818427e0c0f4260", "warmup_time": -1}, "analysis.distances.DistancesBench.time_calc_dihedrals": {"code": "class DistancesBench:\n    def time_calc_dihedrals(self, num_atoms):\n        \"\"\"Benchmark calculation of dihedrals between\n        atoms in four atomgroups.\n        \"\"\"\n        mda.lib.distances.calc_dihedrals(\n            self.coords_1, self.coords_2, self.coords_3, self.coords_4\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_calc_dihedrals", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "8e267b78a21ada5eaa0968be8444c971d3b72cdb1f245bdc8bdb0a8b41b66c65", "warmup_time": -1}, "analysis.distances.DistancesBench.time_contact_matrix": {"code": "class DistancesBench:\n    def time_contact_matrix(self, num_atoms):\n        \"\"\"Benchmark calculation of contacts within\n        a single numpy array using the default arguments\n        to contact_matrix.\n        \"\"\"\n        distances.contact_matrix(\n            coord=self.coords_1, cutoff=15.0, returntype=\"numpy\", box=None\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_contact_matrix", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "c91c137bba8896a5e5f082a89a5f74a4250cd550276f5c0dd7e67099a3e4ce27", "warmup_time": -1}, "analysis.distances.DistancesBench.time_contact_matrix_sparse": {"code": "class DistancesBench:\n    def time_contact_matrix_sparse(self, num_atoms):\n        \"\"\"Benchmark calculation of contacts within\n        a single numpy array using the slower reduced\n        memory implementation of contact_matrix intended\n        for larger systems.\n        \"\"\"\n        distances.contact_matrix(\n            coord=self.coords_1, cutoff=15.0, returntype=\"sparse\", box=None\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_contact_matrix_sparse", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "90afc393d0d08334fd0a603ceb4c1a30e1d495c974d7fbf3e902b3d87afa19d1", "warmup_time": -1}, "analysis.distances.DistancesBench.time_dist": {"code": "class DistancesBench:\n    def time_dist(self, num_atoms):\n        \"\"\"Benchmark calculation of distances between\n        atoms in two atomgroups with no offsets\n        to resids.\n        \"\"\"\n        distances.dist(A=self.ag1, B=self.ag2, offset=0)\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_dist", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3663b232cc72f4cdece318f342aa8287da2493eca63495991d9421aab0dbb4a9", "warmup_time": -1}, "analysis.distances.DistancesBench.time_dist_offsets": {"code": "class DistancesBench:\n    def time_dist_offsets(self, num_atoms):\n        \"\"\"Benchmark calculation of distances between\n        atoms in two atomgroups with offsets\n        to resids.\n        \"\"\"\n        distances.dist(A=self.ag1, B=self.ag2, offset=20)\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_dist_offsets", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "87ed1892f89d366f02c57b9aa83c6fa277a3f9bec85750e08ef2ba0c5a385709", "warmup_time": -1}, "analysis.distances.DistancesBench.time_distance_array": {"code": "class DistancesBench:\n    def time_distance_array(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        between two numpy arrays of coordinates,\n        using default arguments to distance_array.\n        \"\"\"\n        distances.distance_array(\n            reference=self.coords_1,\n            configuration=self.coords_2,\n            box=None,\n            result=None,\n            backend=\"serial\",\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_distance_array", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "423bb13d31eacb2b6e5d3f261552b10be8a2e7388ff95d71dc782c0c8731a23b", "warmup_time": -1}, "analysis.distances.DistancesBench.time_distance_array_pre_allocated": {"code": "class DistancesBench:\n    def time_distance_array_pre_allocated(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        between two numpy arrays of coordinates,\n        using distance_array with a preallocated\n        result array.\n        \"\"\"\n        distances.distance_array(\n            reference=self.coords_1,\n            configuration=self.coords_2,\n            box=None,\n            result=self.allocated_array_2D,\n            backend=\"serial\",\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_distance_array_pre_allocated", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "46dcac9910323321beb5396d4e413bb5975d6fa512b22bf0df6bcd873672d43e", "warmup_time": -1}, "analysis.distances.DistancesBench.time_self_distance_array": {"code": "class DistancesBench:\n    def time_self_distance_array(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        within a single numpy array of coordinates\n        using default parameters to self_distance_array.\n        \"\"\"\n        distances.self_distance_array(\n            reference=self.coords_1, box=None, result=None, backend=\"serial\"\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_self_distance_array", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5c8f51df8cbca15ce193bc4c18e14d5772ad7e53fc9f565cdc096b24308e6f3f", "warmup_time": -1}, "analysis.distances.DistancesBench.time_self_distance_array_pre_allocated": {"code": "class DistancesBench:\n    def time_self_distance_array_pre_allocated(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        within a single numpy array of coordinates\n        using self_distance_array with preallocated\n        result array.\n        \"\"\"\n        distances.self_distance_array(\n            reference=self.coords_1,\n            box=None,\n            result=self.allocated_array_1D,\n            backend=\"serial\",\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_self_distance_array_pre_allocated", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "216345f414efc996a92de0ab4f74763fe20124827e2a57adf0e9bcc93ea05530", "warmup_time": -1}, "analysis.leaflet.LeafletBench.time_leafletfinder": {"code": "class LeafletBench:\n    def time_leafletfinder(self, cutoff, sparse, pbc):\n        \"\"\"Benchmark LeafletFinder for test lipid\n        membrane system.\n        \"\"\"\n        leaflet.LeafletFinder(universe=self.u,\n                              select=self.headgroup_sel,\n                              cutoff=cutoff,\n                              pbc=pbc,\n                              sparse=sparse)\n\n    def setup(self, cutoff, sparse, pbc):\n        self.u = MDAnalysis.Universe(Martini_membrane_gro)\n        self.headgroup_sel = 'name PO4'", "min_run_count": 2, "name": "analysis.leaflet.LeafletBench.time_leafletfinder", "number": 0, "param_names": ["cutoff", "sparse", "pbc"], "params": [["7.0", "15.0", "23.0"], ["None", "True", "False"], ["True", "False"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "2458c4484b875134228107f4bce8daa33aeb344a704e3af71edcbb03b58fc057", "warmup_time": -1}, "analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff": {"code": "class LeafletOptimizeBench:\n    def time_optimize_cutoff(self, sparse, pbc):\n        \"\"\"Benchmark optimize_cutoff for test lipid\n        membrane system using default network distance\n        range.\n        \"\"\"\n        leaflet.optimize_cutoff(universe=self.u,\n                                select=self.headgroup_sel,\n                                pbc=pbc,\n                                sparse=sparse)\n\n    def setup(self, sparse, pbc):\n        self.u = MDAnalysis.Universe(Martini_membrane_gro)\n        self.headgroup_sel = 'name PO4'", "min_run_count": 2, "name": "analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff", "number": 0, "param_names": ["sparse", "pbc"], "params": [["None", "True", "False"], ["True", "False"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "73a3a56d78b0454ad8df949ea3929d5b1281bea8bc6afb57e61589b4d99c688c", "warmup_time": -1}, "analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes": {"code": "class PSA_get_coord_axesBench:\n    def time_get_coord_axes(self, time_steps, n_atoms):\n        \"\"\"Benchmark get_coord_axes in psa module\n        \"\"\"\n        psa.get_coord_axes(path=self.path)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        # only using condensed path input\n        # data structure for now\n        self.path = np.random.rand(time_steps,\n                                   n_atoms * 3)", "min_run_count": 2, "name": "analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "1000"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "86cb5086b8445a130e30b1506114ef9279166f177f3b89ad2641253d58117f93", "warmup_time": -1}, "analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix": {"code": "class PSA_get_msd_matrixBench:\n    def time_get_msd_matrix(self, time_steps, n_atoms):\n        \"\"\"Benchmark for get_msd_matrix in psa module\n        \"\"\"\n        # only default argument for axis is benchmarked\n        psa.get_msd_matrix(P=self.P,\n                           Q=self.Q,\n                           axis=None)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "1000"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9dcdda75f655ab20762a5a9c171d804a3f908f3b76043f3fb66e1c5e471aa2c0", "warmup_time": -1}, "analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func": {"code": "class PSA_get_path_metric_funcBench:\n    def time_get_path_metric_func(self, path_metric):\n        \"\"\"Benchmark for get_path_metric_func in psa\n        module\n        \"\"\"\n        psa.get_path_metric_func(name=path_metric)", "min_run_count": 2, "name": "analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func", "number": 0, "param_names": ["path_metric"], "params": [["'hausdorff'", "'weighted_average_hausdorff'", "'average_hausdorff'", "'hausdorff_neighbors'", "'discrete_frechet'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "fc71d48ec5e111b5f38e7d741ab5f63fc3c8615325be6916878225ada0d3e828", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_discrete_frechet": {"code": "class PSA_metricBench:\n    def time_discrete_frechet(self, time_steps, n_atoms):\n        \"\"\"Benchmark for discrete_frechet() in psa module.\n        \"\"\"\n        psa.discrete_frechet(P=self.P,\n                             Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_discrete_frechet", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3bb3d861752ef9ed6f77ac94cad9ed2e42c56d8df988a838892b313d1104b7cb", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff": {"code": "class PSA_metricBench:\n    def time_hausdorff(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff() in psa module.\n        \"\"\"\n        psa.hausdorff(P=self.P,\n                      Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e0c90539a3b87665619c0c5923a412b1457f5cf08564b891b2ea25345fc720fc", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff_avg": {"code": "class PSA_metricBench:\n    def time_hausdorff_avg(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff_avg() in psa module.\n        \"\"\"\n        psa.hausdorff_avg(P=self.P,\n                          Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff_avg", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "bda335edfdd48be1e40d51ba67bd57127dc22570ed81c79b25c9c34e98073cad", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff_neighbors": {"code": "class PSA_metricBench:\n    def time_hausdorff_neighbors(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff_neighbors() in psa module.\n        \"\"\"\n        psa.hausdorff_neighbors(P=self.P,\n                                Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff_neighbors", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "77321a9a92915cf788b65037e075327c72374c4f6dd8a105749c502756260a7a", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff_wavg": {"code": "class PSA_metricBench:\n    def time_hausdorff_wavg(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff_wavg() in psa module.\n        \"\"\"\n        psa.hausdorff_wavg(P=self.P,\n                           Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff_wavg", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "162c1711b4953d5045859022df8b1477ad41b166cf80dc31e0b961c87761ed81", "warmup_time": -1}, "analysis.psa.PSA_sqnormBench.time_sqnorm": {"code": "class PSA_sqnormBench:\n    def time_sqnorm(self, num_cols, num_rows, axis):\n        \"\"\"Benchmark sqnorm in psa module\n        \"\"\"\n        psa.sqnorm(v=self.v, axis=axis)\n\n    def setup(self, num_cols, num_rows, axis):\n        np.random.seed(170089)\n        self.v = np.random.rand(num_rows, num_cols)", "min_run_count": 2, "name": "analysis.psa.PSA_sqnormBench.time_sqnorm", "number": 0, "param_names": ["num_cols", "num_rows", "axis"], "params": [["2", "3", "4"], ["100", "1000", "10000"], ["None", "0", "1", "-1"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5360f9d9650b651e056f22f98fd02bda2307b2f2eabb3fbe7c1c4b0dffe5f70b", "warmup_time": -1}, "analysis.rdf.SimpleRdfBench.time_interrdf": {"code": "class SimpleRdfBench:\n    def time_interrdf(self, nbins, range_val, natoms):\n        \"\"\"Benchmark a full trajectory parse\n        by MDAnalysis.analysis.rdf.InterRDF\n        \"\"\"\n        self.rdf.run()\n\n    def setup(self, nbins, range_val, natoms):\n    \n        self.sel_str = 'name OW'\n    \n        self.u = MDAnalysis.Universe(TPR, XTC)\n    \n        try:\n            self.sel = self.u.select_atoms(self.sel_str)[:natoms]\n        except AttributeError:\n            self.sel = self.u.selectAtoms(self.sel_str)[:natoms]\n    \n        # do not include initialization of the\n        # InterRDF object in the benchmark itself\n    \n        self.rdf = InterRDF(g1=self.sel,\n                            g2=self.sel,\n                            nbins=nbins,\n                            range=range_val)", "min_run_count": 2, "name": "analysis.rdf.SimpleRdfBench.time_interrdf", "number": 0, "param_names": ["nbins", "range_val", "natoms"], "params": [["20", "75", "200"], ["[0, 5]", "[0, 15]", "[0, 20]"], ["1", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "834273d73c592c18978de979c278573fc8d7997972d1e690ed8efbbeadf8ca08", "warmup_time": -1}, "analysis.rms.RmsdTrajBench.time_RMSD": {"code": "class RmsdTrajBench:\n    def time_RMSD(self, select, weights):\n        \"\"\"Benchmark RMSD.run() method, which parses\n        over the entire trajectory.\n        \"\"\"\n        self.RMSD_inst.run()\n\n    def setup(self, select, weights):\n        self.u = MDAnalysis.Universe(PSF, DCD)\n        self.RMSD_inst = rms.RMSD(atomgroup=self.u,\n                                  reference=None,\n                                  select=select,\n                                  weights=weights)", "min_run_count": 2, "name": "analysis.rms.RmsdTrajBench.time_RMSD", "number": 0, "param_names": ["select", "weights"], "params": [["'all'", "'backbone'"], ["None", "'mass'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "64836ac01572a5047b1dd99fff0059e19db814e8d869fba0f667e8ce391dab94", "warmup_time": -1}, "analysis.rms.RmsfTrajBench.time_RMSF": {"code": "class RmsfTrajBench:\n    def time_RMSF(self, n_atoms, step, weights):\n        \"\"\"Benchmark RMSF.run() method, which parses\n        over the entire trajectory.\n        \"\"\"\n        self.RMSF_inst.run(step=step)\n\n    def setup(self, n_atoms, step, weights):\n        self.u = MDAnalysis.Universe(PSF, DCD)\n        self.ag = self.u.atoms[:n_atoms]\n        self.RMSF_inst = rms.RMSF(atomgroup=self.ag,\n                                  weights=weights)", "min_run_count": 2, "name": "analysis.rms.RmsfTrajBench.time_RMSF", "number": 0, "param_names": ["n_atoms", "step", "weights"], "params": [["100", "500", "2000"], ["None", "3"], ["None", "'mass'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "99e0776f38969e49506709a4f7297c981a8d81c0febde80cbbc90d2f0f163b4c", "warmup_time": -1}, "analysis.rms.SimpleRmsBench.time_rmsd": {"code": "class SimpleRmsBench:\n    def time_rmsd(self, num_atoms, weights, center, superposition):\n        \"\"\"Benchmark rmsd function using a setup similar to\n        its docstring example code along with several possible\n        permutations of parameters.\n        \"\"\"\n        rms.rmsd(a=self.A,\n                 b=self.B,\n                 weights=weights,\n                 center=center,\n                 superposition=superposition)\n\n    def setup(self, num_atoms, weights, center, superposition):\n        # mimic rmsd docstring example code\n        self.u = MDAnalysis.Universe(PSF, DCD)\n        # ag.positions is the new syntax\n        # but older commit hashes will need to use\n        # ag.coordinates()\n        try:\n            self.A = self.u.atoms.positions.copy()[:num_atoms]\n            self.u.trajectory[-1]\n            self.B = self.u.atoms.positions.copy()[:num_atoms]\n        except:\n            self.A = self.u.atoms.positions.copy()[:num_atoms]\n            self.u.trajectory[-1]\n            self.B = self.u.atoms.positions.copy()[:num_atoms]", "min_run_count": 2, "name": "analysis.rms.SimpleRmsBench.time_rmsd", "number": 0, "param_names": ["num_atoms", "weights", "center", "superposition"], "params": [["100", "500", "2000"], ["None", "[1.0, 0.5]"], ["False", "True"], ["False", "True"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "bda0e78ff13a61dce070b3eddef389263aef31ccdd42ddb3a643bfacf8264b02", "warmup_time": -1}, "import.ImportBench.time_import": {"code": "class ImportBench:\n    def time_import(self):\n        \"\"\"Benchmark time needed to import MDAnalysis\n        \"\"\"\n        import MDAnalysis as mda\n        pass", "min_run_count": 2, "name": "import.ImportBench.time_import", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "61f437034b6040b9faf8e324049e743318ff56255c98cd868a547bac5c256124", "warmup_time": -1}, "selections.GeoSelectionBench.time_geometric_selections": {"code": "class GeoSelectionBench:\n    def time_geometric_selections(self,\n                                  selection_string,\n                                  dynamic_selection,\n                                  periodic_selection):\n    \n        # TODO: Do we need a kwarg similar to old `use_KDTree_routines`\n        # flag? We used to benchmark that.\n        self.u.select_atoms(selection_string,\n                            updating=dynamic_selection,\n                            periodic=periodic_selection[0],\n                            )\n\n    def setup(self,\n              selection_string,\n              dynamic_selection,\n              periodic_selection):\n        self.u = MDAnalysis.Universe(GRO)", "min_run_count": 2, "name": "selections.GeoSelectionBench.time_geometric_selections", "number": 0, "param_names": ["selection_string", "dynamic_selection", "periodic_selection"], "params": [["'around 5.0 resid 1'", "'sphlayer 2.4 6.0 (protein)'", "'sphzone 6.0 (protein)'", "'cylayer 5 10 10 -8 protein'", "'cyzone 15 4 -8 protein'", "'point 5.0 5.0 5.0 3.5'", "'prop z >= 5.0'", "'prop abs z <= 5.0'"], ["True", "False"], ["[False, True]", "[True, False]"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3e43b2b234945b3a318c65087db5dda171f737beaec83199d0461b3ea3b0d93e", "warmup_time": -1}, "selections.SimpleSelectionBench.time_simple_selections": {"code": "class SimpleSelectionBench:\n    def time_simple_selections(self, selection_string):\n        \"\"\"Benchmark simple selections on the protein-based\n        standard test GRO file.\n        \"\"\"\n        if hasattr(MDAnalysis.Universe, 'select_atoms'):\n            self.u.select_atoms(selection_string)\n        else:\n            self.u.selectAtoms(selection_string)\n\n    def setup(self, selection_string):\n        self.u = MDAnalysis.Universe(GRO)", "min_run_count": 2, "name": "selections.SimpleSelectionBench.time_simple_selections", "number": 0, "param_names": ["selection_string"], "params": [["'protein'", "'backbone'", "'nucleic'", "'nucleicbackbone'", "'resid 1:10'", "'resnum 1:10'", "'resname LYS'", "'name CA'", "'bynum 0:10'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3d7336e8388a8daf7d76bc3faec4ee662f2ddce17529d2b322ec539be91758c3", "warmup_time": -1}, "topology.BondsBench.time_bonds": {"code": "class BondsBench:\n    def time_bonds(self, num_bonds):\n        \"\"\"Benchmark for calculating bonds\"\"\"\n        self.u.bonds\n\n    def setup(self, num_bonds):\n        self.u = MDAnalysis.Universe.empty(2*num_bonds)\n        bonds = np.arange(2*num_bonds).reshape(num_bonds, 2)\n        self.u.add_bonds(bonds)", "min_run_count": 2, "name": "topology.BondsBench.time_bonds", "number": 0, "param_names": ["num_bonds"], "params": [["1000", "10000", "100000", "1000000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "53f46341b02a43024f5c677dcdfef05390e63757bfb308dc62104475abb08dc9", "warmup_time": -1}, "topology.TopologyGuessBench.time_guessbonds": {"code": "class TopologyGuessBench:\n    def time_guessbonds(self, num_atoms):\n        \"\"\"Benchmark for guessing bonds\"\"\"\n        DefaultGuesser(None).guess_bonds(self.ag, self.ag.positions,\n                             box=self.ag.dimensions,\n                             vdwradii=self.vdwradii)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}", "min_run_count": 2, "name": "topology.TopologyGuessBench.time_guessbonds", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0424f4afbc9a4f382d5d3c936c5b5d57693fa646d37ae661e54dd42bb0e6ee6e", "warmup_time": -1}, "traj_reader.TrajReaderCreation.time_reads": {"code": "class TrajReaderCreation:\n    def time_reads(self, traj_format):\n        \"\"\"Simple benchmark for reading traj file formats\n        from our standard test files.\n        \"\"\"\n        self.traj_reader(self.traj_file)\n\n    def setup(self, traj_format):\n        self.traj_dict = traj_dict\n        self.traj_file, self.traj_reader = self.traj_dict[traj_format]", "min_run_count": 2, "name": "traj_reader.TrajReaderCreation.time_reads", "number": 0, "param_names": ["traj_format"], "params": [["'XTC'", "'TRR'", "'DCD'", "'NCDF'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "4b030c7c2af116b5eaaec4c77913ed39dda95d0f355f11be9ee99403dfa71f93", "warmup_time": -1}, "traj_reader.TrajReaderIteration.time_strides": {"code": "class TrajReaderIteration:\n    def time_strides(self, traj_format):\n        \"\"\"Benchmark striding over full trajectory\n        test files for each format.\n        \"\"\"\n        for ts in self.reader_object:\n            pass\n\n    def setup(self, traj_format):\n        self.traj_dict = traj_dict\n        self.traj_file, self.traj_reader = self.traj_dict[traj_format]\n        self.reader_object = self.traj_reader(self.traj_file)", "min_run_count": 2, "name": "traj_reader.TrajReaderIteration.time_strides", "number": 0, "param_names": ["traj_format"], "params": [["'XTC'", "'TRR'", "'DCD'", "'NCDF'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d2890f87c636b5336c33c4ede5c97f90f26b52ea890f4514459dee27de3b92fc", "warmup_time": -1}}, "machines": {"gp160": {"arch": "x86_64", "cpu": "Intel(R) Core(TM) i9-7900X CPU @ 3.30GHz", "machine": "gp160", "os": "Linux 4.10.0-35-generic", "ram": "128GB", "version": 1}, "c3potato": {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "version": 1}}, "tags": {"RotamerConvolveMD-1.0": 1133, "data-0-7-4": 605, "package-2.1.0": 15591, "package-2.2.0": 16644, "package-2.3.0": 17472, "package-2.4.0": 18298, "package-2.4.0b1": 18296, "package-2.4.1": 18309, "package-2.4.2": 18401, "package-2.4.3": 19187, "package-2.5.0": 19485, "package-2.6.0": 20007, "package-2.6.1": 20156, "package-2.7.0": 20791, "package-2.8.0": 22196, "pre-release-0-7-0-rc3": 350, "pre-sub-trr": 964, "prerelease-0-6-0-rc2": 152, "prerelease-0-6-rc1": 139, "prerelease-0.8.0-pre-1": 1046, "rel-0-5-0": 82, "release-0-5-1": 104, "release-0-6-0": 154, "release-0-6-1": 170, "release-0-6-2": 205, "release-0-6-3": 256, "release-0-6-4": 283, "release-0-6-4-1": 289, "release-0-7-0": 381, "release-0-7-1": 429, "release-0-7-2": 483, "release-0-7-3": 554, "release-0-7-4": 604, "release-0.10.0": 1482, "release-0.11.0": 1834, "release-0.12.0": 1979, "release-0.12.1": 2011, "release-0.13.0": 2515, "release-0.14.0": 2925, "release-0.15.0": 3265, "release-0.16.0": 5063, "release-0.16.1": 5323, "release-0.16.2": 5542, "release-0.17.0": 6680, "release-0.18.0": 7138, "release-0.19.0": 8272, "release-0.19.1": 8344, "release-0.19.2": 8351, "release-0.20.0": 9175, "release-0.20.1": 9194, "release-0.7.5": 680, "release-0.7.5.1": 698, "release-0.7.6": 810, "release-0.8.0": 1142, "release-0.8.0rc2": 1096, "release-0.8.0rc3": 1105, "release-0.8.0rc4": 1122, "release-0.8.1": 1188, "release-0.8.1rc1": 1163, "release-0.9.0": 1337, "release-0.9.1": 1357, "release-0.9.2": 1389, "release-1.0.0": 11186, "release-1.0.1": 13177, "release-1.1.0": 13996, "release-1.1.1": 14043, "release-2.0.0": 14943, "release-2.0.0-beta": 14620, "release-2.1.0": 15589, "release-2.2.0": 16641, "release-2.3.0": 17472, "release-2.4.0": 18294, "release-2.4.1": 18306, "release-2.4.2": 18399, "release-2.4.3": 19185, "release-2.5.0": 19482, "release-2.6.0": 20007, "release-2.6.1": 20147, "release-2.7.0": 20788, "release-2.8.0": 22196, "testdata-0-7-4": 609}, "pages": [["", "Grid view", "Display as a agrid"], ["summarylist", "List view", "Display as a list"], ["regressions", "Show regressions", "Display information about recent regressions"]]}
\ No newline at end of file
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1711746802000, "21333": 1711748394000, "21349": 1711878779000, "21353": 1711941055000, "21357": 1712012663000, "21411": 1713708970000, "21413": 1713709337000, "21416": 1713767253000, "21418": 1713768580000, "21434": 1714330364000, "21435": 1714330587000, "21469": 1715173256000, "21492": 1716509748000, "21495": 1716763690000, "21509": 1717117694000, "21550": 1718697808000, "21558": 1718751033000, "21565": 1719062489000, "21570": 1719066743000, "21583": 1720090154000, "21595": 1721182991000, "21609": 1721802867000, "21614": 1721834720000, "21618": 1721867799000, "21631": 1722191792000, "21643": 1722988403000, "21655": 1723835551000, "21660": 1724317272000, "21698": 1724616493000, "21702": 1724666869000, "21727": 1725204095000, "21754": 1725674258000, "21762": 1725726052000, "21770": 1725796574000, "21785": 1725909222000, "21798": 1725941089000, "21801": 1726273184000, "21847": 1727312636000, "21854": 1727425432000, "21856": 1727431157000, "21869": 1727555996000, "21876": 1727814520000, "21884": 1727858586000, "21899": 1728274662000, "21903": 1728331627000, "21933": 1728858360000, "21952": 1728933134000, "21953": 1728933771000, "21996": 1729304644000, "22005": 1729338823000, "22008": 1729347660000, "22032": 1729386274000, "22074": 1729798562000, "22109": 1729883025000, "22115": 1729884967000, "22117": 1729889143000, "22128": 1729943182000, "22129": 1729943252000, "22131": 1729945589000, "22148": 1729991218000, "22178": 1730468319000, "22189": 1731344466000, "22192": 1731348059000, "22196": 1731352714000, "22224": 1732142102000, "22236": 1732290144000, "22238": 1732290443000, "22241": 1732305078000}, "params": {"Cython": ["", "0.27"], "MDAnalysisTests": ["", null], "arch": ["x86_64"], "cpu": ["Intel(R) Core(TM) i9-7900X CPU @ 3.30GHz", "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz"], "machine": ["c3potato", "gp160"], "mock": ["", null], "nose": ["", null], "numpy": [""], "os": ["Linux 3.16.0-4-amd64", "Linux 4.10.0-35-generic"], "psutil": ["", null], "pytest": ["", null], "python": ["2.7", "3.11", "3.6", "3.8", "3.9"], "ram": ["128GB", "16GB"], "scipy": [""], "six": ["", null], "mdanalysistests": ["", null], "branch": ["develop"]}, "graph_param_list": [{"Cython": "", "MDAnalysisTests": "", "arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "mock": "", "nose": "", "numpy": "", "os": "Linux 3.16.0-4-amd64", "psutil": "", "pytest": "", "python": "2.7", "ram": "16GB", "scipy": "", "six": "", "branch": "develop", "mdanalysistests": null}, {"Cython": "0.27", "arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "mdanalysistests": "", "numpy": "", "os": "Linux 3.16.0-4-amd64", "python": "2.7", "ram": "16GB", "scipy": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.9", "Cython": "", "numpy": "", "scipy": "", "mdanalysistests": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.11", "Cython": "", "numpy": "", "scipy": "", "mdanalysistests": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.8", "Cython": "", "numpy": "", "scipy": "", "mdanalysistests": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"Cython": "", "arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "mdanalysistests": "", "numpy": "", "os": "Linux 3.16.0-4-amd64", "python": "2.7", "ram": "16GB", "scipy": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}, {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "python": "3.6", "Cython": "", "mdanalysistests": "", "numpy": "", "scipy": "", "branch": "develop", "MDAnalysisTests": null, "mock": null, "nose": null, "psutil": null, "pytest": null, "six": null}], "benchmarks": {"GRO.GROReadBench.time_create_GRO_universe": {"code": "class GROReadBench:\n    def time_create_GRO_universe(self):\n        \"\"\"Time to create MDA Universe of GRO\"\"\"\n        u = mda.Universe(GRO)", "min_run_count": 2, "name": "GRO.GROReadBench.time_create_GRO_universe", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "85e9386a1154d866631322425b43e682903a28a89efb74527110189dcbd24a4a", "warmup_time": -1}, "GRO.GROReadBench.time_parse_GRO_file": {"code": "class GROReadBench:\n    def time_parse_GRO_file(self):\n        \"\"\"Time to create topology from GRO file\"\"\"\n        p = GROParser(GRO)\n        top = p.parse()", "min_run_count": 2, "name": "GRO.GROReadBench.time_parse_GRO_file", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7d0bec284a3cc88727c887e20b4d7a7a6fb3dc8b9a3fed98a8bee728f5920227", "warmup_time": -1}, "GRO.GROReadBench.time_read_GRO_coordinates": {"code": "class GROReadBench:\n    def time_read_GRO_coordinates(self):\n        \"\"\"Benchmark reading of standard testsuite GRO file.\"\"\"\n        GROReader(GRO)", "min_run_count": 2, "name": "GRO.GROReadBench.time_read_GRO_coordinates", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "987e7a4b2431ce8645e1a4d7c1135f76c9b35e5eb29b0f6818860f96531be147", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_angle": {"code": "class AtomGroupAttrsBench:\n    def time_angle(self, num_atoms):\n        \"\"\"Benchmark simple angle\n        calculation. Requires ag\n        with three atoms.\n        \"\"\"\n        self.ag[:3].angle\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_angle", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "a83a2ce99c0673f57ac3eac16b49a9db026ae64b6fcaa4389bf47eed59124dbb", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_atomcount": {"code": "class AtomGroupAttrsBench:\n    def time_atomcount(self, num_atoms):\n        \"\"\"Benchmark counting of atoms in\n        atomgroup.\n        \"\"\"\n        self.ag.n_atoms\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_atomcount", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d31f8341e31a7bc198133f258c72536b54ec904f97ac4f28a767f9970856818a", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_atoms": {"code": "class AtomGroupAttrsBench:\n    def time_atoms(self, num_atoms):\n        \"\"\"Benchmark returning of identical\n        atomgroup.\n        \"\"\"\n        self.ag.atoms\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_atoms", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6cd2f945901dc324d1dabcb388bc3fe0c3b5977d49056e5d7a7859c40e2c9af8", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_bond": {"code": "class AtomGroupAttrsBench:\n    def time_bond(self, num_atoms):\n        \"\"\"Benchmark Bond object creation.\n        Requires ag of size 2.\n        \"\"\"\n        self.ag[:2].bond\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_bond", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3507b8355b5b01697e086a646c559412d09fde51fc7139f4524f7cb58aa7ae67", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_dihedral": {"code": "class AtomGroupAttrsBench:\n    def time_dihedral(self, num_atoms):\n        \"\"\"Benchmark Dihedral object\n        creation time. Requires ag of\n        size 4.\n        \"\"\"\n        self.ag[:4].dihedral\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_dihedral", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5775f1a2f7666febcc47f94b77702bd75a2a7ccd7c9044265c965dbad779a351", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_forces": {"code": "class AtomGroupAttrsBench:\n    def time_forces(self, num_atoms):\n        \"\"\"Benchmark atomgroup force\n        calculation.\n        \"\"\"\n        try:\n            self.ag.forces\n        except NoDataError:\n            pass\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_forces", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0186fc73e76b8e3f8cb39e7e11f7c6e9837d800b2379b14591432ee9e710d69e", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_improper": {"code": "class AtomGroupAttrsBench:\n    def time_improper(self, num_atoms):\n        \"\"\"Benchmark improper dihedral\n        calculation. Requires ag of size\n        4.\n        \"\"\"\n        self.ag[:4].improper\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_improper", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d7ba217b21841225ff1df0b473d66794db6b2c92c56bbb3cb04c042fb43e967c", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_indices": {"code": "class AtomGroupAttrsBench:\n    def time_indices(self, num_atoms):\n        \"\"\"Benchmark atom index calculation.\n        \"\"\"\n        self.ag.ix\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_indices", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "8a27cd7f019ca3f35aa37d112e72f6b0311c37dee14a33adff3dffd8b6ee2602", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_positions": {"code": "class AtomGroupAttrsBench:\n    def time_positions(self, num_atoms):\n        \"\"\"Benchmark returning the positions\n        of the atoms in the group.\n        \"\"\"\n        self.ag.positions\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_positions", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7f538e5ccf7c68b715cb9ba1f0a85764faa5e09216ba83be3b88804f26504dcd", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_residuecount": {"code": "class AtomGroupAttrsBench:\n    def time_residuecount(self, num_atoms):\n        \"\"\"Benchmark counting of residues in\n        atomgroup.\n        \"\"\"\n        self.ag.n_residues\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_residuecount", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6ba8023af1d40da84022b2eba1e494b20eb80d1257fa5beabc2206f8d380b237", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_residues": {"code": "class AtomGroupAttrsBench:\n    def time_residues(self, num_atoms):\n        \"\"\"Benchmark creation of the ResidueGroup\n        from the AtomGroup.\n        \"\"\"\n        self.ag.residues\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_residues", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "72655f2bf91db254ada1b26646da826894a223384a4691f99b06b291107b938e", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_segmentcount": {"code": "class AtomGroupAttrsBench:\n    def time_segmentcount(self, num_atoms):\n        \"\"\"Benchmark counting of segments in\n        atomgroup.\n        \"\"\"\n        self.ag.n_segments\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_segmentcount", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "ea9ccc59b78a3786c8ed142a014c476162b2d37437c8f93a4b05644dd851aede", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_segments": {"code": "class AtomGroupAttrsBench:\n    def time_segments(self, num_atoms):\n        \"\"\"Benchmark determination of sorted\n        SegmentGroup from AtomGroup.\n        \"\"\"\n        self.ag.segments\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_segments", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "ec21432839b2caac695337844d8b3feff546e74083cc61d846692523160bcf70", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_ts": {"code": "class AtomGroupAttrsBench:\n    def time_ts(self, num_atoms):\n        \"\"\"Benchmark returning of a timestep\n        instance from atomgroup.\n        \"\"\"\n        self.ag.ts\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_ts", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0aadba3b29a020c1edbc55253049c8f9dc252759321e51f110ca895d99ce52a6", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_unique": {"code": "class AtomGroupAttrsBench:\n    def time_unique(self, num_atoms):\n        \"\"\"Benchmark determination of unique\n        elements in atomgroup.\n        \"\"\"\n        self.ag.unique\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_unique", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "1c2345530d78545ab7011e17420325ec0f2b12a472ade667a7253fd672a06f70", "warmup_time": -1}, "ag_methods.AtomGroupAttrsBench.time_velocity": {"code": "class AtomGroupAttrsBench:\n    def time_velocity(self, num_atoms):\n        \"\"\"Benchmark atomgroup velocity\n        values return.\n        \"\"\"\n        try:\n            self.ag.velocities\n        except NoDataError:\n            pass\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]", "min_run_count": 2, "name": "ag_methods.AtomGroupAttrsBench.time_velocity", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3841e8cfb0518bdc257c0479f3844b8bdf80ee1e2bf7b2245ba4ba95533e2ce8", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bbox_no_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding box calculation\n        with pbc inactive.\n        \"\"\"\n        self.ag.bbox(pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bbox_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "f4d3c92e8dc5efa1a09726e3c1dea49453d5625ee6952475869546919575a0ed", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bbox_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bbox_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding box calculation\n        with pbc active.\n        \"\"\"\n        self.ag.bbox(pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bbox_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "02deed74348541e19fd7811f9aa232bd53410903de3a1432d7cc090a3184198e", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bsphere_no_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding sphere calculation\n        with pbc inactive.\n        \"\"\"\n        self.ag.bsphere(pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7f229e23767623d3052357b0d2e36620742990cbec01fa9df982997a64d0b558", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_bsphere_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_bsphere_pbc(self, num_atoms):\n        \"\"\"Benchmark bounding sphere calculation\n        with pbc active.\n        \"\"\"\n        self.ag.bsphere(pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_bsphere_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "669f068c60e5023f28ea98225386244efdd0907ea6895c590088cfd170bef050", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_center_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_center_no_pbc(self, num_atoms):\n        \"\"\"Benchmark center calculation with\n        pbc inactive.\n        \"\"\"\n        self.ag.center(weights=self.weights,\n                       pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_center_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5499bbde1d376804c4c410b7cac45ebc709dc4065d374891ccaca4c67b497d8d", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_center_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_center_pbc(self, num_atoms):\n        \"\"\"Benchmark center calculation with\n        pbc active.\n        \"\"\"\n        self.ag.center(weights=self.weights,\n                       pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_center_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9e281b5399aef60e0a823b2a228dee94c0e31bd95d8806c1e15b861cf23d83b6", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_centroid_no_pbc(self, num_atoms):\n        \"\"\"Benchmark centroid calculation with\n        pbc inactive.\n        \"\"\"\n        self.ag.centroid(pbc=False)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_centroid_no_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "56366be992afa8468328495085d4bd7f270fe821af6b4412e097e071a5841aba", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_centroid_pbc": {"code": "class AtomGroupMethodsBench:\n    def time_centroid_pbc(self, num_atoms):\n        \"\"\"Benchmark centroid calculation with\n        pbc active.\n        \"\"\"\n        self.ag.centroid(pbc=True)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_centroid_pbc", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7ce43af0540e7c4b35689a263dfc228d0a4a2d2d92727d2d44b1e397c32a8726", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_concatenate": {"code": "class AtomGroupMethodsBench:\n    def time_concatenate(self, num_atoms):\n        \"\"\"Benchmark atomgroup concatenation.\n        \"\"\"\n        self.ag.concatenate(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_concatenate", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d5249c87dfce2c91bde201106b2e4198849051c93364564de86ce872159c1428", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_difference": {"code": "class AtomGroupMethodsBench:\n    def time_difference(self, num_atoms):\n        \"\"\"Benchmark atomgroup difference\n        operation.\n        \"\"\"\n        self.ag.difference(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_difference", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "56ce3f2f2c4257dee720e7b07315ce2595afc66137f7324b405ebfb060e65dd3", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_groupby": {"code": "class AtomGroupMethodsBench:\n    def time_groupby(self, num_atoms):\n        \"\"\"Benchmark atomgroup groupby\n        operation.\n        \"\"\"\n        self.ag.groupby('resnames')\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_groupby", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e42dfd364b2726e568511c4eae084feead8bd62e3ac3d2046ca6c0ae2a061363", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_guess_bonds": {"code": "class AtomGroupMethodsBench:\n    def time_guess_bonds(self, num_atoms):\n        \"\"\"Benchmark atomgroup bond guessing\n        with artificially-seeded vdw values.\n        \"\"\"\n        self.ag.guess_bonds(self.vdwradii)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_guess_bonds", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "b22111561b487e88b079412e82b48de4d70d39b0c868ec64305cebdcdf3ecd0b", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_intersection": {"code": "class AtomGroupMethodsBench:\n    def time_intersection(self, num_atoms):\n        \"\"\"Benchmark ag intersection.\n        \"\"\"\n        self.ag.intersection(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_intersection", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "af81d67c8ba6789db6632156d5ee37d16c1d7145bc51d97faf62f5a44e71a216", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_is_strict_subset": {"code": "class AtomGroupMethodsBench:\n    def time_is_strict_subset(self, num_atoms):\n        \"\"\"Benchmark ag strict subset operation.\n        \"\"\"\n        self.ag.is_strict_subset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_is_strict_subset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "4dff2b0102568196662f408ec7682e479b1f28f3c0811e1d09928f67803ff1fd", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_is_strict_superset": {"code": "class AtomGroupMethodsBench:\n    def time_is_strict_superset(self, num_atoms):\n        \"\"\"Benchmark ag strict superset operation.\n        \"\"\"\n        self.ag.is_strict_superset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_is_strict_superset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "2c81f4e274971df7fb627c5c8e82a821572d65175a56f86824b9a5d644170653", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_isdisjoint": {"code": "class AtomGroupMethodsBench:\n    def time_isdisjoint(self, num_atoms):\n        \"\"\"Benchmark disjoint operation between\n        atomgroups.\n        \"\"\"\n        self.ag.isdisjoint(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_isdisjoint", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9573a798d7d80b64066ae7114626b83b763312b43c4435eac392b8c0d3fb8a08", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_issubset": {"code": "class AtomGroupMethodsBench:\n    def time_issubset(self, num_atoms):\n        \"\"\"Benchmark subset operation between\n        atomgroups.\n        \"\"\"\n        self.ag.issubset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_issubset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "f6bd03304591ed1af9f0654198f07148f408505a8ba8d1ec24c4613d5980686b", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_issuperset": {"code": "class AtomGroupMethodsBench:\n    def time_issuperset(self, num_atoms):\n        \"\"\"Benchmark superset operation between\n        atomgroups.\n        \"\"\"\n        self.ag.issuperset(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_issuperset", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "da0c4343c5544f68e3ee19e45eb427df5f51ad6fdf3d3a1380d864a310e832f1", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_pack_into_box": {"code": "class AtomGroupMethodsBench:\n    def time_pack_into_box(self, num_atoms):\n        \"\"\"Benchmark shifting atoms of ag\n        into primary unit cell, using\n        default parameters.\n        \"\"\"\n        self.ag.pack_into_box()\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_pack_into_box", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "54f8934b8fe61ba797a7909743b108e39de31f183b1e1ae485cf0f6ce32462c7", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_rotate": {"code": "class AtomGroupMethodsBench:\n    def time_rotate(self, num_atoms):\n        \"\"\"Benchmark simple rotation operation\n        on atomgroup.\n        \"\"\"\n        self.ag.rotate(self.rot_matrix)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_rotate", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6e1749c80e708a81dc9b1c9e930f935e6c602721ffd2c8aaef3124f78895e3fc", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_rotateby": {"code": "class AtomGroupMethodsBench:\n    def time_rotateby(self, num_atoms):\n        \"\"\"Benchmark rotation by an angle\n        of the ag coordinates.\n        \"\"\"\n        self.ag.rotateby(angle=45,\n                         axis=[1,0,0])\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_rotateby", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3a363526876a2804ba8aa888ffe51737d852a4f374b4afcea48089e448dd31cb", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_split": {"code": "class AtomGroupMethodsBench:\n    def time_split(self, num_atoms):\n        \"\"\"Benchmark ag splitting into\n        multiple ags based on a simple\n        criterion.\n        \"\"\"\n        self.ag.split('residue')\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_split", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "416f626f3c7231a69b7aeff75fba459fe50c0154712be099617e3bbb6e5916d4", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_subtract": {"code": "class AtomGroupMethodsBench:\n    def time_subtract(self, num_atoms):\n        \"\"\"Benchmark ag subtraction.\n        \"\"\"\n        self.ag.subtract(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_subtract", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "a850d565fa6aecc39128e9d35a85496508288f8b8989d9fdb21f77796d838786", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_symmetric_difference": {"code": "class AtomGroupMethodsBench:\n    def time_symmetric_difference(self, num_atoms):\n        \"\"\"Benchmark ag symmetric difference\n        operation.\n        \"\"\"\n        self.ag.symmetric_difference(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_symmetric_difference", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0f5ae06c5f76555fb6a63e41f85fd32373e10d49a309803a4b06be75e05ec0a9", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_transform": {"code": "class AtomGroupMethodsBench:\n    def time_transform(self, num_atoms):\n        \"\"\"Benchmark application of transformation\n        matrix to atomgroup.\n        \"\"\"\n        self.ag.transform(self.trans)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_transform", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "6dc5031197d6b02edba0f8d4bd19cec798be5c5b740547575f7cade39a38b391", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_translate": {"code": "class AtomGroupMethodsBench:\n    def time_translate(self, num_atoms):\n        \"\"\"Benchmark the application of a\n        translation vector to the ag\n        coordinates.\n        \"\"\"\n        self.ag.translate([0,0.5,1])\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_translate", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "97a8195e6e8cd22f3b5cfa3a9f162d518b497d64e2cd734e91212b74e9620d3a", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_union": {"code": "class AtomGroupMethodsBench:\n    def time_union(self, num_atoms):\n        \"\"\"Benchmark union operation\n        on atomgroups.\n        \"\"\"\n        self.ag.union(self.ag)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_union", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3e19a73408a52eca4f12d1df1f083093bf51de80adc8a78f3448451658ae113b", "warmup_time": -1}, "ag_methods.AtomGroupMethodsBench.time_wrap": {"code": "class AtomGroupMethodsBench:\n    def time_wrap(self, num_atoms):\n        \"\"\"Benchmark wrap() operation on\n        atomgroup with default params.\n        \"\"\"\n        self.ag.wrap()\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.weights = np.ones(num_atoms)\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}\n        self.rot_matrix = np.ones((3,3))\n        self.trans = np.ones((4,4))", "min_run_count": 2, "name": "ag_methods.AtomGroupMethodsBench.time_wrap", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e17b327697d267cf044412cc544be3b2e309edad29b10d0ab5af64a7b847d269", "warmup_time": -1}, "ag_methods.CompoundSplitting.time_center_compounds": {"code": "class CompoundSplitting:\n    def time_center_compounds(self, *args):\n        self.u.atoms.center(None, compound='residues')\n\n    def setup(self, n_atoms, n_compounds, homogeneous, contiguous):\n        rg = np.random.Generator(np.random.MT19937(3000))\n    \n        # some parameter screening for nonsensical combinations.\n        if n_compounds > n_atoms:\n            raise NotImplementedError\n    \n        if n_compounds == 1 and not (homogeneous and contiguous):\n            raise NotImplementedError\n    \n        if n_compounds == n_atoms:\n            if not (homogeneous and contiguous):\n                raise NotImplementedError\n            compound_indices = np.arange(n_compounds)\n        elif homogeneous:\n            ats_per_compound, remainder = divmod(n_atoms, n_compounds)\n            if remainder:\n                raise NotImplementedError\n            compound_indices = np.tile(np.arange(n_compounds),\n                                       (ats_per_compound, 1)).T.ravel()\n        else:\n            compound_indices = np.sort(np.floor(rg.random(n_atoms)\n                                                * n_compounds).astype(np.int))\n    \n        unique_indices = np.unique(compound_indices)\n        if len(unique_indices) != n_compounds:\n            raise RuntimeError\n    \n        if not contiguous:\n            rg.shuffle(compound_indices)\n    \n        self.u = MDAnalysis.Universe.empty(n_atoms,\n                                           n_residues=n_compounds,\n                                           n_segments=1,\n                                           atom_resindex=compound_indices,\n                                           trajectory=True)\n        self.u.atoms.positions = rg.random((n_atoms, 3),\n                                           dtype=np.float32) * 100\n        self.u.dimensions = [50, 50, 50, 90, 90, 90]", "min_run_count": 2, "name": "ag_methods.CompoundSplitting.time_center_compounds", "number": 0, "param_names": ["param1", "param2", "param3", "param4"], "params": [["100", "10000", "1000000"], ["1", "10", "100"], ["True", "False"], ["True", "False"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "1a2731a96f06d85a503ae24d79262851ff5c7c0755d17baf7819456d54075f17", "warmup_time": -1}, "ag_methods.FragmentCaching.time_find_cached_fragments": {"code": "class FragmentCaching:\n    def time_find_cached_fragments(self, universe_type):\n        frags = self.u.atoms.fragments\n\n    def setup(self, universe_type):\n        super(FragmentCaching, self).setup(universe_type)\n        frags = self.u.atoms.fragments  # Priming the cache", "min_run_count": 2, "name": "ag_methods.FragmentCaching.time_find_cached_fragments", "number": 0, "param_names": ["universe_type"], "params": [["'large_fragment_small_solvents'", "'large_fragment'", "'polymer_chains'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e10a712eaf0f8c9a2489bc4f2dbc9677be29528aa3314aa5bcb814b05e4c5cd8", "warmup_time": -1}, "ag_methods.FragmentCaching.time_find_fragments": {"code": "class FragmentFinding:\n    def time_find_fragments(self, universe_type):\n        frags = self.u.atoms.fragments\n\nclass FragmentCaching:\n    def setup(self, universe_type):\n        super(FragmentCaching, self).setup(universe_type)\n        frags = self.u.atoms.fragments  # Priming the cache", "min_run_count": 2, "name": "ag_methods.FragmentCaching.time_find_fragments", "number": 0, "param_names": ["universe_type"], "params": [["'large_fragment_small_solvents'", "'large_fragment'", "'polymer_chains'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9ee4ba9d30022cba05eab57475bff54164b9f4ffc8a37286663ae8befdd78225", "warmup_time": -1}, "ag_methods.FragmentFinding.time_find_fragments": {"code": "class FragmentFinding:\n    def time_find_fragments(self, universe_type):\n        frags = self.u.atoms.fragments\n\n    def setup(self, universe_type):\n        if universe_type == 'large_fragment_small_solvents':\n            univ = (TPR, XTC)\n        elif universe_type == 'large_fragment':\n            univ = (PSF, DCD)\n        else:\n            univ = (TRZ_psf, TRZ)\n        self.u = MDAnalysis.Universe(*univ)", "min_run_count": 2, "name": "ag_methods.FragmentFinding.time_find_fragments", "number": 0, "param_names": ["universe_type"], "params": [["'large_fragment_small_solvents'", "'large_fragment'", "'polymer_chains'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "7629f34633e0ba4daad90ab0adc33965e3f05cd82382570a2941d46085851b39", "warmup_time": -1}, "analysis.distances.DistancesBench.time_between": {"code": "class DistancesBench:\n    def time_between(self, num_atoms):\n        \"\"\"Benchmark determination of subgroup\n        of atomgroup that is within a specific\n        distance of two other atomgroups.\n        \"\"\"\n        distances.between(\n            group=self.ag3, A=self.ag1, B=self.ag2, distance=15.0\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_between", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "06923b19f8f155c8ef51227176b95f08c0b87f7f7f81ff6a72eaebe8b2927bca", "warmup_time": -1}, "analysis.distances.DistancesBench.time_calc_angles": {"code": "class DistancesBench:\n    def time_calc_angles(self, num_atoms):\n        \"\"\"Benchmark calculation of angles between\n        atoms in three atomgroups.\n        \"\"\"\n        mda.lib.distances.calc_angles(\n            self.coords_1, self.coords_2, self.coords_3\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_calc_angles", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3bf2d6564e727c2553e682fe2f6290e199915ad8f0ea5bd8d0dc8e6a35c8c193", "warmup_time": -1}, "analysis.distances.DistancesBench.time_calc_bonds": {"code": "class DistancesBench:\n    def time_calc_bonds(self, num_atoms):\n        \"\"\"Benchmark calculation of bonds between\n        atoms in two atomgroups.\n        \"\"\"\n        mda.lib.distances.calc_bonds(self.coords_1, self.coords_2)\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_calc_bonds", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "c82f8a3b8b73aa472c1b332c89f7225cdc60f0a35fc6f526d818427e0c0f4260", "warmup_time": -1}, "analysis.distances.DistancesBench.time_calc_dihedrals": {"code": "class DistancesBench:\n    def time_calc_dihedrals(self, num_atoms):\n        \"\"\"Benchmark calculation of dihedrals between\n        atoms in four atomgroups.\n        \"\"\"\n        mda.lib.distances.calc_dihedrals(\n            self.coords_1, self.coords_2, self.coords_3, self.coords_4\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_calc_dihedrals", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "8e267b78a21ada5eaa0968be8444c971d3b72cdb1f245bdc8bdb0a8b41b66c65", "warmup_time": -1}, "analysis.distances.DistancesBench.time_contact_matrix": {"code": "class DistancesBench:\n    def time_contact_matrix(self, num_atoms):\n        \"\"\"Benchmark calculation of contacts within\n        a single numpy array using the default arguments\n        to contact_matrix.\n        \"\"\"\n        distances.contact_matrix(\n            coord=self.coords_1, cutoff=15.0, returntype=\"numpy\", box=None\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_contact_matrix", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "c91c137bba8896a5e5f082a89a5f74a4250cd550276f5c0dd7e67099a3e4ce27", "warmup_time": -1}, "analysis.distances.DistancesBench.time_contact_matrix_sparse": {"code": "class DistancesBench:\n    def time_contact_matrix_sparse(self, num_atoms):\n        \"\"\"Benchmark calculation of contacts within\n        a single numpy array using the slower reduced\n        memory implementation of contact_matrix intended\n        for larger systems.\n        \"\"\"\n        distances.contact_matrix(\n            coord=self.coords_1, cutoff=15.0, returntype=\"sparse\", box=None\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_contact_matrix_sparse", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "90afc393d0d08334fd0a603ceb4c1a30e1d495c974d7fbf3e902b3d87afa19d1", "warmup_time": -1}, "analysis.distances.DistancesBench.time_dist": {"code": "class DistancesBench:\n    def time_dist(self, num_atoms):\n        \"\"\"Benchmark calculation of distances between\n        atoms in two atomgroups with no offsets\n        to resids.\n        \"\"\"\n        distances.dist(A=self.ag1, B=self.ag2, offset=0)\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_dist", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3663b232cc72f4cdece318f342aa8287da2493eca63495991d9421aab0dbb4a9", "warmup_time": -1}, "analysis.distances.DistancesBench.time_dist_offsets": {"code": "class DistancesBench:\n    def time_dist_offsets(self, num_atoms):\n        \"\"\"Benchmark calculation of distances between\n        atoms in two atomgroups with offsets\n        to resids.\n        \"\"\"\n        distances.dist(A=self.ag1, B=self.ag2, offset=20)\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_dist_offsets", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "87ed1892f89d366f02c57b9aa83c6fa277a3f9bec85750e08ef2ba0c5a385709", "warmup_time": -1}, "analysis.distances.DistancesBench.time_distance_array": {"code": "class DistancesBench:\n    def time_distance_array(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        between two numpy arrays of coordinates,\n        using default arguments to distance_array.\n        \"\"\"\n        distances.distance_array(\n            reference=self.coords_1,\n            configuration=self.coords_2,\n            box=None,\n            result=None,\n            backend=\"serial\",\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_distance_array", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "423bb13d31eacb2b6e5d3f261552b10be8a2e7388ff95d71dc782c0c8731a23b", "warmup_time": -1}, "analysis.distances.DistancesBench.time_distance_array_pre_allocated": {"code": "class DistancesBench:\n    def time_distance_array_pre_allocated(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        between two numpy arrays of coordinates,\n        using distance_array with a preallocated\n        result array.\n        \"\"\"\n        distances.distance_array(\n            reference=self.coords_1,\n            configuration=self.coords_2,\n            box=None,\n            result=self.allocated_array_2D,\n            backend=\"serial\",\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_distance_array_pre_allocated", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "46dcac9910323321beb5396d4e413bb5975d6fa512b22bf0df6bcd873672d43e", "warmup_time": -1}, "analysis.distances.DistancesBench.time_self_distance_array": {"code": "class DistancesBench:\n    def time_self_distance_array(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        within a single numpy array of coordinates\n        using default parameters to self_distance_array.\n        \"\"\"\n        distances.self_distance_array(\n            reference=self.coords_1, box=None, result=None, backend=\"serial\"\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_self_distance_array", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5c8f51df8cbca15ce193bc4c18e14d5772ad7e53fc9f565cdc096b24308e6f3f", "warmup_time": -1}, "analysis.distances.DistancesBench.time_self_distance_array_pre_allocated": {"code": "class DistancesBench:\n    def time_self_distance_array_pre_allocated(self, num_atoms):\n        \"\"\"Benchmark calculation of all distances\n        within a single numpy array of coordinates\n        using self_distance_array with preallocated\n        result array.\n        \"\"\"\n        distances.self_distance_array(\n            reference=self.coords_1,\n            box=None,\n            result=self.allocated_array_1D,\n            backend=\"serial\",\n        )\n\n    def setup(self, num_atoms):\n        np.random.seed(17809)\n        self.coords_1 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(9008716)\n        self.coords_2 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(15809)\n        self.coords_3 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n        np.random.seed(871600)\n        self.coords_4 = np.random.random_sample((num_atoms, 3)).astype(\n            np.float32\n        )\n    \n        self.allocated_array_2D = np.empty(\n            (num_atoms, num_atoms), dtype=np.float64\n        )\n        self.array_shape_1D = int(num_atoms * (num_atoms - 1) / 2.0)\n        self.allocated_array_1D = np.empty(\n            self.array_shape_1D, dtype=np.float64\n        )\n        self.u = mda.Universe(GRO)\n        self.ag1 = self.u.atoms[:num_atoms]\n        self.ag2 = self.u.atoms[num_atoms: 2 * num_atoms]\n        self.ag3 = self.u.atoms[-num_atoms:]", "min_run_count": 2, "name": "analysis.distances.DistancesBench.time_self_distance_array_pre_allocated", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "216345f414efc996a92de0ab4f74763fe20124827e2a57adf0e9bcc93ea05530", "warmup_time": -1}, "analysis.leaflet.LeafletBench.time_leafletfinder": {"code": "class LeafletBench:\n    def time_leafletfinder(self, cutoff, sparse, pbc):\n        \"\"\"Benchmark LeafletFinder for test lipid\n        membrane system.\n        \"\"\"\n        leaflet.LeafletFinder(universe=self.u,\n                              select=self.headgroup_sel,\n                              cutoff=cutoff,\n                              pbc=pbc,\n                              sparse=sparse)\n\n    def setup(self, cutoff, sparse, pbc):\n        self.u = MDAnalysis.Universe(Martini_membrane_gro)\n        self.headgroup_sel = 'name PO4'", "min_run_count": 2, "name": "analysis.leaflet.LeafletBench.time_leafletfinder", "number": 0, "param_names": ["cutoff", "sparse", "pbc"], "params": [["7.0", "15.0", "23.0"], ["None", "True", "False"], ["True", "False"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "2458c4484b875134228107f4bce8daa33aeb344a704e3af71edcbb03b58fc057", "warmup_time": -1}, "analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff": {"code": "class LeafletOptimizeBench:\n    def time_optimize_cutoff(self, sparse, pbc):\n        \"\"\"Benchmark optimize_cutoff for test lipid\n        membrane system using default network distance\n        range.\n        \"\"\"\n        leaflet.optimize_cutoff(universe=self.u,\n                                select=self.headgroup_sel,\n                                pbc=pbc,\n                                sparse=sparse)\n\n    def setup(self, sparse, pbc):\n        self.u = MDAnalysis.Universe(Martini_membrane_gro)\n        self.headgroup_sel = 'name PO4'", "min_run_count": 2, "name": "analysis.leaflet.LeafletOptimizeBench.time_optimize_cutoff", "number": 0, "param_names": ["sparse", "pbc"], "params": [["None", "True", "False"], ["True", "False"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "73a3a56d78b0454ad8df949ea3929d5b1281bea8bc6afb57e61589b4d99c688c", "warmup_time": -1}, "analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes": {"code": "class PSA_get_coord_axesBench:\n    def time_get_coord_axes(self, time_steps, n_atoms):\n        \"\"\"Benchmark get_coord_axes in psa module\n        \"\"\"\n        psa.get_coord_axes(path=self.path)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        # only using condensed path input\n        # data structure for now\n        self.path = np.random.rand(time_steps,\n                                   n_atoms * 3)", "min_run_count": 2, "name": "analysis.psa.PSA_get_coord_axesBench.time_get_coord_axes", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "1000"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "86cb5086b8445a130e30b1506114ef9279166f177f3b89ad2641253d58117f93", "warmup_time": -1}, "analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix": {"code": "class PSA_get_msd_matrixBench:\n    def time_get_msd_matrix(self, time_steps, n_atoms):\n        \"\"\"Benchmark for get_msd_matrix in psa module\n        \"\"\"\n        # only default argument for axis is benchmarked\n        psa.get_msd_matrix(P=self.P,\n                           Q=self.Q,\n                           axis=None)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "1000"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "9dcdda75f655ab20762a5a9c171d804a3f908f3b76043f3fb66e1c5e471aa2c0", "warmup_time": -1}, "analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func": {"code": "class PSA_get_path_metric_funcBench:\n    def time_get_path_metric_func(self, path_metric):\n        \"\"\"Benchmark for get_path_metric_func in psa\n        module\n        \"\"\"\n        psa.get_path_metric_func(name=path_metric)", "min_run_count": 2, "name": "analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func", "number": 0, "param_names": ["path_metric"], "params": [["'hausdorff'", "'weighted_average_hausdorff'", "'average_hausdorff'", "'hausdorff_neighbors'", "'discrete_frechet'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "fc71d48ec5e111b5f38e7d741ab5f63fc3c8615325be6916878225ada0d3e828", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_discrete_frechet": {"code": "class PSA_metricBench:\n    def time_discrete_frechet(self, time_steps, n_atoms):\n        \"\"\"Benchmark for discrete_frechet() in psa module.\n        \"\"\"\n        psa.discrete_frechet(P=self.P,\n                             Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_discrete_frechet", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3bb3d861752ef9ed6f77ac94cad9ed2e42c56d8df988a838892b313d1104b7cb", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff": {"code": "class PSA_metricBench:\n    def time_hausdorff(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff() in psa module.\n        \"\"\"\n        psa.hausdorff(P=self.P,\n                      Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "e0c90539a3b87665619c0c5923a412b1457f5cf08564b891b2ea25345fc720fc", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff_avg": {"code": "class PSA_metricBench:\n    def time_hausdorff_avg(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff_avg() in psa module.\n        \"\"\"\n        psa.hausdorff_avg(P=self.P,\n                          Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff_avg", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "bda335edfdd48be1e40d51ba67bd57127dc22570ed81c79b25c9c34e98073cad", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff_neighbors": {"code": "class PSA_metricBench:\n    def time_hausdorff_neighbors(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff_neighbors() in psa module.\n        \"\"\"\n        psa.hausdorff_neighbors(P=self.P,\n                                Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff_neighbors", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "77321a9a92915cf788b65037e075327c72374c4f6dd8a105749c502756260a7a", "warmup_time": -1}, "analysis.psa.PSA_metricBench.time_hausdorff_wavg": {"code": "class PSA_metricBench:\n    def time_hausdorff_wavg(self, time_steps, n_atoms):\n        \"\"\"Benchmark for hausdorff_wavg() in psa module.\n        \"\"\"\n        psa.hausdorff_wavg(P=self.P,\n                           Q=self.Q)\n\n    def setup(self, time_steps, n_atoms):\n        np.random.seed(170089)\n        self.P = np.random.rand(time_steps,\n                                n_atoms,\n                                3)\n        np.random.seed(971132)\n        self.Q = np.random.rand(time_steps,\n                                n_atoms,\n                                3)", "min_run_count": 2, "name": "analysis.psa.PSA_metricBench.time_hausdorff_wavg", "number": 0, "param_names": ["time_steps", "n_atoms"], "params": [["10", "100", "200"], ["5", "25", "50"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "162c1711b4953d5045859022df8b1477ad41b166cf80dc31e0b961c87761ed81", "warmup_time": -1}, "analysis.psa.PSA_sqnormBench.time_sqnorm": {"code": "class PSA_sqnormBench:\n    def time_sqnorm(self, num_cols, num_rows, axis):\n        \"\"\"Benchmark sqnorm in psa module\n        \"\"\"\n        psa.sqnorm(v=self.v, axis=axis)\n\n    def setup(self, num_cols, num_rows, axis):\n        np.random.seed(170089)\n        self.v = np.random.rand(num_rows, num_cols)", "min_run_count": 2, "name": "analysis.psa.PSA_sqnormBench.time_sqnorm", "number": 0, "param_names": ["num_cols", "num_rows", "axis"], "params": [["2", "3", "4"], ["100", "1000", "10000"], ["None", "0", "1", "-1"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "5360f9d9650b651e056f22f98fd02bda2307b2f2eabb3fbe7c1c4b0dffe5f70b", "warmup_time": -1}, "analysis.rdf.SimpleRdfBench.time_interrdf": {"code": "class SimpleRdfBench:\n    def time_interrdf(self, nbins, range_val, natoms):\n        \"\"\"Benchmark a full trajectory parse\n        by MDAnalysis.analysis.rdf.InterRDF\n        \"\"\"\n        self.rdf.run()\n\n    def setup(self, nbins, range_val, natoms):\n    \n        self.sel_str = 'name OW'\n    \n        self.u = MDAnalysis.Universe(TPR, XTC)\n    \n        try:\n            self.sel = self.u.select_atoms(self.sel_str)[:natoms]\n        except AttributeError:\n            self.sel = self.u.selectAtoms(self.sel_str)[:natoms]\n    \n        # do not include initialization of the\n        # InterRDF object in the benchmark itself\n    \n        self.rdf = InterRDF(g1=self.sel,\n                            g2=self.sel,\n                            nbins=nbins,\n                            range=range_val)", "min_run_count": 2, "name": "analysis.rdf.SimpleRdfBench.time_interrdf", "number": 0, "param_names": ["nbins", "range_val", "natoms"], "params": [["20", "75", "200"], ["[0, 5]", "[0, 15]", "[0, 20]"], ["1", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "834273d73c592c18978de979c278573fc8d7997972d1e690ed8efbbeadf8ca08", "warmup_time": -1}, "analysis.rms.RmsdTrajBench.time_RMSD": {"code": "class RmsdTrajBench:\n    def time_RMSD(self, select, weights):\n        \"\"\"Benchmark RMSD.run() method, which parses\n        over the entire trajectory.\n        \"\"\"\n        self.RMSD_inst.run()\n\n    def setup(self, select, weights):\n        self.u = MDAnalysis.Universe(PSF, DCD)\n        self.RMSD_inst = rms.RMSD(atomgroup=self.u,\n                                  reference=None,\n                                  select=select,\n                                  weights=weights)", "min_run_count": 2, "name": "analysis.rms.RmsdTrajBench.time_RMSD", "number": 0, "param_names": ["select", "weights"], "params": [["'all'", "'backbone'"], ["None", "'mass'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "64836ac01572a5047b1dd99fff0059e19db814e8d869fba0f667e8ce391dab94", "warmup_time": -1}, "analysis.rms.RmsfTrajBench.time_RMSF": {"code": "class RmsfTrajBench:\n    def time_RMSF(self, n_atoms, step, weights):\n        \"\"\"Benchmark RMSF.run() method, which parses\n        over the entire trajectory.\n        \"\"\"\n        self.RMSF_inst.run(step=step)\n\n    def setup(self, n_atoms, step, weights):\n        self.u = MDAnalysis.Universe(PSF, DCD)\n        self.ag = self.u.atoms[:n_atoms]\n        self.RMSF_inst = rms.RMSF(atomgroup=self.ag,\n                                  weights=weights)", "min_run_count": 2, "name": "analysis.rms.RmsfTrajBench.time_RMSF", "number": 0, "param_names": ["n_atoms", "step", "weights"], "params": [["100", "500", "2000"], ["None", "3"], ["None", "'mass'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "99e0776f38969e49506709a4f7297c981a8d81c0febde80cbbc90d2f0f163b4c", "warmup_time": -1}, "analysis.rms.SimpleRmsBench.time_rmsd": {"code": "class SimpleRmsBench:\n    def time_rmsd(self, num_atoms, weights, center, superposition):\n        \"\"\"Benchmark rmsd function using a setup similar to\n        its docstring example code along with several possible\n        permutations of parameters.\n        \"\"\"\n        rms.rmsd(a=self.A,\n                 b=self.B,\n                 weights=weights,\n                 center=center,\n                 superposition=superposition)\n\n    def setup(self, num_atoms, weights, center, superposition):\n        # mimic rmsd docstring example code\n        self.u = MDAnalysis.Universe(PSF, DCD)\n        # ag.positions is the new syntax\n        # but older commit hashes will need to use\n        # ag.coordinates()\n        try:\n            self.A = self.u.atoms.positions.copy()[:num_atoms]\n            self.u.trajectory[-1]\n            self.B = self.u.atoms.positions.copy()[:num_atoms]\n        except:\n            self.A = self.u.atoms.positions.copy()[:num_atoms]\n            self.u.trajectory[-1]\n            self.B = self.u.atoms.positions.copy()[:num_atoms]", "min_run_count": 2, "name": "analysis.rms.SimpleRmsBench.time_rmsd", "number": 0, "param_names": ["num_atoms", "weights", "center", "superposition"], "params": [["100", "500", "2000"], ["None", "[1.0, 0.5]"], ["False", "True"], ["False", "True"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "bda0e78ff13a61dce070b3eddef389263aef31ccdd42ddb3a643bfacf8264b02", "warmup_time": -1}, "import.ImportBench.time_import": {"code": "class ImportBench:\n    def time_import(self):\n        \"\"\"Benchmark time needed to import MDAnalysis\n        \"\"\"\n        import MDAnalysis as mda\n        pass", "min_run_count": 2, "name": "import.ImportBench.time_import", "number": 0, "param_names": [], "params": [], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "61f437034b6040b9faf8e324049e743318ff56255c98cd868a547bac5c256124", "warmup_time": -1}, "selections.GeoSelectionBench.time_geometric_selections": {"code": "class GeoSelectionBench:\n    def time_geometric_selections(self,\n                                  selection_string,\n                                  dynamic_selection,\n                                  periodic_selection):\n    \n        # TODO: Do we need a kwarg similar to old `use_KDTree_routines`\n        # flag? We used to benchmark that.\n        self.u.select_atoms(selection_string,\n                            updating=dynamic_selection,\n                            periodic=periodic_selection[0],\n                            )\n\n    def setup(self,\n              selection_string,\n              dynamic_selection,\n              periodic_selection):\n        self.u = MDAnalysis.Universe(GRO)", "min_run_count": 2, "name": "selections.GeoSelectionBench.time_geometric_selections", "number": 0, "param_names": ["selection_string", "dynamic_selection", "periodic_selection"], "params": [["'around 5.0 resid 1'", "'sphlayer 2.4 6.0 (protein)'", "'sphzone 6.0 (protein)'", "'cylayer 5 10 10 -8 protein'", "'cyzone 15 4 -8 protein'", "'point 5.0 5.0 5.0 3.5'", "'prop z >= 5.0'", "'prop abs z <= 5.0'"], ["True", "False"], ["[False, True]", "[True, False]"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3e43b2b234945b3a318c65087db5dda171f737beaec83199d0461b3ea3b0d93e", "warmup_time": -1}, "selections.SimpleSelectionBench.time_simple_selections": {"code": "class SimpleSelectionBench:\n    def time_simple_selections(self, selection_string):\n        \"\"\"Benchmark simple selections on the protein-based\n        standard test GRO file.\n        \"\"\"\n        if hasattr(MDAnalysis.Universe, 'select_atoms'):\n            self.u.select_atoms(selection_string)\n        else:\n            self.u.selectAtoms(selection_string)\n\n    def setup(self, selection_string):\n        self.u = MDAnalysis.Universe(GRO)", "min_run_count": 2, "name": "selections.SimpleSelectionBench.time_simple_selections", "number": 0, "param_names": ["selection_string"], "params": [["'protein'", "'backbone'", "'nucleic'", "'nucleicbackbone'", "'resid 1:10'", "'resnum 1:10'", "'resname LYS'", "'name CA'", "'bynum 0:10'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "3d7336e8388a8daf7d76bc3faec4ee662f2ddce17529d2b322ec539be91758c3", "warmup_time": -1}, "topology.BondsBench.time_bonds": {"code": "class BondsBench:\n    def time_bonds(self, num_bonds):\n        \"\"\"Benchmark for calculating bonds\"\"\"\n        self.u.bonds\n\n    def setup(self, num_bonds):\n        self.u = MDAnalysis.Universe.empty(2*num_bonds)\n        bonds = np.arange(2*num_bonds).reshape(num_bonds, 2)\n        self.u.add_bonds(bonds)", "min_run_count": 2, "name": "topology.BondsBench.time_bonds", "number": 0, "param_names": ["num_bonds"], "params": [["1000", "10000", "100000", "1000000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "53f46341b02a43024f5c677dcdfef05390e63757bfb308dc62104475abb08dc9", "warmup_time": -1}, "topology.TopologyGuessBench.time_guessbonds": {"code": "class TopologyGuessBench:\n    def time_guessbonds(self, num_atoms):\n        \"\"\"Benchmark for guessing bonds\"\"\"\n        DefaultGuesser(None).guess_bonds(self.ag, self.ag.positions,\n                             box=self.ag.dimensions,\n                             vdwradii=self.vdwradii)\n\n    def setup(self, num_atoms):\n        self.u = MDAnalysis.Universe(GRO)\n        self.ag = self.u.atoms[:num_atoms]\n        self.vdwradii = {'H':1.0,\n                         'C':1.0,\n                         'N':1.0,\n                         'O':1.0,\n                         'DUMMY':1.0}", "min_run_count": 2, "name": "topology.TopologyGuessBench.time_guessbonds", "number": 0, "param_names": ["num_atoms"], "params": [["10", "100", "1000", "10000"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "0424f4afbc9a4f382d5d3c936c5b5d57693fa646d37ae661e54dd42bb0e6ee6e", "warmup_time": -1}, "traj_reader.TrajReaderCreation.time_reads": {"code": "class TrajReaderCreation:\n    def time_reads(self, traj_format):\n        \"\"\"Simple benchmark for reading traj file formats\n        from our standard test files.\n        \"\"\"\n        self.traj_reader(self.traj_file)\n\n    def setup(self, traj_format):\n        self.traj_dict = traj_dict\n        self.traj_file, self.traj_reader = self.traj_dict[traj_format]", "min_run_count": 2, "name": "traj_reader.TrajReaderCreation.time_reads", "number": 0, "param_names": ["traj_format"], "params": [["'XTC'", "'TRR'", "'DCD'", "'NCDF'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "4b030c7c2af116b5eaaec4c77913ed39dda95d0f355f11be9ee99403dfa71f93", "warmup_time": -1}, "traj_reader.TrajReaderIteration.time_strides": {"code": "class TrajReaderIteration:\n    def time_strides(self, traj_format):\n        \"\"\"Benchmark striding over full trajectory\n        test files for each format.\n        \"\"\"\n        for ts in self.reader_object:\n            pass\n\n    def setup(self, traj_format):\n        self.traj_dict = traj_dict\n        self.traj_file, self.traj_reader = self.traj_dict[traj_format]\n        self.reader_object = self.traj_reader(self.traj_file)", "min_run_count": 2, "name": "traj_reader.TrajReaderIteration.time_strides", "number": 0, "param_names": ["traj_format"], "params": [["'XTC'", "'TRR'", "'DCD'", "'NCDF'"]], "repeat": 0, "rounds": 2, "sample_time": 0.01, "timeout": 60.0, "type": "time", "unit": "seconds", "version": "d2890f87c636b5336c33c4ede5c97f90f26b52ea890f4514459dee27de3b92fc", "warmup_time": -1}}, "machines": {"gp160": {"arch": "x86_64", "cpu": "Intel(R) Core(TM) i9-7900X CPU @ 3.30GHz", "machine": "gp160", "os": "Linux 4.10.0-35-generic", "ram": "128GB", "version": 1}, "c3potato": {"arch": "x86_64", "cpu": "Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz", "machine": "c3potato", "os": "Linux 3.16.0-4-amd64", "ram": "16GB", "version": 1}}, "tags": {"RotamerConvolveMD-1.0": 1133, "data-0-7-4": 605, "package-2.1.0": 15591, "package-2.2.0": 16644, "package-2.3.0": 17472, "package-2.4.0": 18298, "package-2.4.0b1": 18296, "package-2.4.1": 18309, "package-2.4.2": 18401, "package-2.4.3": 19187, "package-2.5.0": 19485, "package-2.6.0": 20007, "package-2.6.1": 20156, "package-2.7.0": 20791, "package-2.8.0": 22241, "pre-release-0-7-0-rc3": 350, "pre-sub-trr": 964, "prerelease-0-6-0-rc2": 152, "prerelease-0-6-rc1": 139, "prerelease-0.8.0-pre-1": 1046, "rel-0-5-0": 82, "release-0-5-1": 104, "release-0-6-0": 154, "release-0-6-1": 170, "release-0-6-2": 205, "release-0-6-3": 256, "release-0-6-4": 283, "release-0-6-4-1": 289, "release-0-7-0": 381, "release-0-7-1": 429, "release-0-7-2": 483, "release-0-7-3": 554, "release-0-7-4": 604, "release-0.10.0": 1482, "release-0.11.0": 1834, "release-0.12.0": 1979, "release-0.12.1": 2011, "release-0.13.0": 2515, "release-0.14.0": 2925, "release-0.15.0": 3265, "release-0.16.0": 5063, "release-0.16.1": 5323, "release-0.16.2": 5542, "release-0.17.0": 6680, "release-0.18.0": 7138, "release-0.19.0": 8272, "release-0.19.1": 8344, "release-0.19.2": 8351, "release-0.20.0": 9175, "release-0.20.1": 9194, "release-0.7.5": 680, "release-0.7.5.1": 698, "release-0.7.6": 810, "release-0.8.0": 1142, "release-0.8.0rc2": 1096, "release-0.8.0rc3": 1105, "release-0.8.0rc4": 1122, "release-0.8.1": 1188, "release-0.8.1rc1": 1163, "release-0.9.0": 1337, "release-0.9.1": 1357, "release-0.9.2": 1389, "release-1.0.0": 11186, "release-1.0.1": 13177, "release-1.1.0": 13996, "release-1.1.1": 14043, "release-2.0.0": 14943, "release-2.0.0-beta": 14620, "release-2.1.0": 15589, "release-2.2.0": 16641, "release-2.3.0": 17472, "release-2.4.0": 18294, "release-2.4.1": 18306, "release-2.4.2": 18399, "release-2.4.3": 19185, "release-2.5.0": 19482, "release-2.6.0": 20007, "release-2.6.1": 20147, "release-2.7.0": 20788, "release-2.8.0": 22238, "testdata-0-7-4": 609}, "pages": [["", "Grid view", "Display as a agrid"], ["summarylist", "List view", "Display as a list"], ["regressions", "Show regressions", "Display information about recent regressions"]]}
\ No newline at end of file
diff --git a/info.json b/info.json
index dab9257a2..eb4ac5234 100644
--- a/info.json
+++ b/info.json
@@ -1,4 +1,4 @@
 {
     "asv-version": "0.5.1",
-    "timestamp": 1732190425729
+    "timestamp": 1732366228549
 }
\ No newline at end of file
diff --git a/regressions.json b/regressions.json
index 083b92de6..d94c0ea74 100644
--- a/regressions.json
+++ b/regressions.json
@@ -1 +1 @@
-{"regressions": [["analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix(10, 5)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json", {"python": "2.7"}, 0, 5.330905307125307e-05, 5.020550276752771e-05, [[null, 7419, 5.020550276752771e-05, 5.330905307125307e-05]]], ["analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix(10, 25)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json", {"python": "2.7"}, 1, 6.450121168582378e-05, 6.047494805194807e-05, [[null, 7315, 6.047494805194807e-05, 6.450121168582378e-05]]], ["analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix(10, 50)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.psa.PSA_get_msd_matrixBench.time_get_msd_matrix.json", {"python": "2.7"}, 2, 7.734316750178948e-05, 7.191331980519478e-05, [[7357, 7363, 7.191331980519478e-05, 7.734316750178948e-05]]], ["analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func('hausdorff')", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json", {"python": "2.7"}, 0, 5.150857502766595e-07, 4.244221028590762e-07, [[null, 1902, 4.244221028590762e-07, 5.150857502766595e-07]]], ["analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func('discrete_frechet')", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.psa.PSA_get_path_metric_funcBench.time_get_path_metric_func.json", {"python": "2.7"}, 4, 5.199011835888533e-07, 4.2414212320789514e-07, [[null, 1902, 4.2414212320789514e-07, 5.166504037765687e-07]]], ["analysis.rms.RmsdTrajBench.time_RMSD('all', None)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.rms.RmsdTrajBench.time_RMSD.json", {"python": "2.7"}, 0, 0.03320214787500003, 0.02358365200000003, [[5610, 5717, 0.02358365200000003, 0.03320214787500003]]], ["analysis.rms.RmsdTrajBench.time_RMSD('all', 'mass')", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.rms.RmsdTrajBench.time_RMSD.json", {"python": "2.7"}, 1, 0.039512099999999974, 0.029536059000000003, [[5610, 5717, 0.029536059000000003, 0.039512099999999974]]], ["analysis.rms.RmsdTrajBench.time_RMSD('backbone', None)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.rms.RmsdTrajBench.time_RMSD.json", {"python": "2.7"}, 2, 0.019919041166666672, 0.010530184300000012, [[5610, 5717, 0.010530184300000012, 0.019919041166666672]]], ["analysis.rms.RmsdTrajBench.time_RMSD('backbone', 'mass')", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/analysis.rms.RmsdTrajBench.time_RMSD.json", {"python": "2.7"}, 3, 0.023071527400000003, 0.013494761000000022, [[5610, 5717, 0.013494761000000022, 0.023071527400000003]]], ["ag_methods.AtomGroupAttrsBench.time_residuecount(10)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/ag_methods.AtomGroupAttrsBench.time_residuecount.json", {"python": "2.7"}, 0, 1.3394673043243956e-05, 9.390243636363639e-07, [[null, 4290, 9.390243636363639e-07, 1.0573637583892604e-05], [null, 5197, 1.0573637583892604e-05, 1.2081890933422572e-05], [null, 7525, 1.24209232536765e-05, 1.3394673043243956e-05]]], ["ag_methods.AtomGroupAttrsBench.time_residuecount(100)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/ag_methods.AtomGroupAttrsBench.time_residuecount.json", {"python": "2.7"}, 1, 1.368548547832071e-05, 9.423242363636352e-07, [[null, 4290, 9.423242363636352e-07, 1.1193761285699642e-05], [null, 5197, 1.1193761285699642e-05, 1.246881072825023e-05], [null, 7525, 1.246881072825023e-05, 1.368548547832071e-05]]], ["ag_methods.AtomGroupAttrsBench.time_residuecount(1000)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/ag_methods.AtomGroupAttrsBench.time_residuecount.json", {"python": "2.7"}, 2, 1.6459833996023886e-05, 9.449713454545422e-07, [[null, 4290, 9.449713454545422e-07, 1.6459833996023886e-05]]], ["ag_methods.AtomGroupAttrsBench.time_residuecount(10000)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/ag_methods.AtomGroupAttrsBench.time_residuecount.json", {"python": "2.7"}, 3, 3.9713948007590165e-05, 9.887570000000028e-07, [[null, 4290, 9.887570000000028e-07, 3.9713948007590165e-05]]], ["ag_methods.AtomGroupAttrsBench.time_atomcount(10)", "graphs/Cython/MDAnalysisTests/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests-null/mock/nose/numpy/os-Linux 3.16.0-4-amd64/psutil/pytest/python-2.7/ram-16GB/scipy/six/ag_methods.AtomGroupAttrsBench.time_atomcount.json", {"python": "2.7"}, 0, 8.790619344214163e-07, 6.454259586841944e-07, [[null, 4290, 6.454259586841944e-07, 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3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.8/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_between.json", {"python": "3.8"}, 0, 0.0002370185040413065, 0.00021699489075310374, [[null, 17555, 0.00021699489075310374, 0.0002370185040413065]]], ["analysis.distances.DistancesBench.time_contact_matrix(10)", "graphs/Cython/MDAnalysisTests-null/arch-x86_64/branch-develop/cpu-Intel(R) Xeon(R) CPU E3-1226 v3 @ 3.30GHz/machine-c3potato/mdanalysistests/mock-null/nose-null/numpy/os-Linux 3.16.0-4-amd64/psutil-null/pytest-null/python-3.8/ram-16GB/scipy/six-null/analysis.distances.DistancesBench.time_contact_matrix.json", {"python": "3.8"}, 0, 9.858083937598287e-05, 9.224701578877553e-05, [[null, 17187, 9.224701578877553e-05, 9.858083937598287e-05]]]]}
\ No newline at end of file
diff --git a/regressions.xml b/regressions.xml
index 36772ce1c..05c334bda 100644
--- a/regressions.xml
+++ b/regressions.xml
@@ -13,11 +13,11 @@
                 New value: 74.4μs, old value: 70.5μs.&lt;br&gt;
                 Latest value: 74.4μs (5.52% worse than best value 70.5μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-09-04:/9364da5a860ed497853f46086eaac4e4299375b38a7bef692bce24c1d9fcb4d3</id><title xml:lang="en">6.03% analysis.rms.SimpleRmsBench.time_rmsd(500, None, True, True)</title><updated>2023-09-05T04:18:01Z</updated><link href="index.html#analysis.rms.SimpleRmsBench.time_rmsd?python=3.11&amp;p-num_atoms=500&amp;p-weights=None&amp;p-center=True&amp;p-superposition=True&amp;commits=28532012363342c36dcdfa7d497252be90ff261e" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.rms.SimpleRmsBench.time_rmsd?python=3.11&amp;p-num_atoms=500&amp;p-weights=None&amp;p-center=True&amp;p-superposition=True&amp;commits=28532012363342c36dcdfa7d497252be90ff261e"&gt;6.03% regression&lt;/a&gt; on 2023-09-04 13:47:17 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/28532012363342c36dcdfa7d497252be90ff261e"&gt;28532012&lt;/a&gt;.&lt;br&gt;
                 New value: 74.2μs, old value: 70.0μs.&lt;br&gt;
-                Latest value: 74.2μs (6.03% worse than best value 70.0μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-16:/4c49742b7165aec1a21aea66b9f97d4692774e9c04c443a15321e38532361980</id><title xml:lang="en">7.15% ag_methods.AtomGroupMethodsBench.time_subtract(10)</title><updated>2023-08-17T05:39:35Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=10&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=10&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;7.15% regression&lt;/a&gt; on 2023-08-16 07:05:33 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;acfd1222&lt;/a&gt;.&lt;br&gt;
-                New value: 33.1μs, old value: 30.9μs.&lt;br&gt;
-                Latest value: 33.1μs (7.15% worse than best value 30.9μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-16:/c432cd6af0bfe57846b0f5e59976f347a93cd49c00f978cf373225158d20e646</id><title xml:lang="en">6.65% ag_methods.AtomGroupMethodsBench.time_subtract(1000)</title><updated>2023-08-17T05:39:35Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=1000&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=1000&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;6.65% regression&lt;/a&gt; on 2023-08-16 07:05:33 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;acfd1222&lt;/a&gt;.&lt;br&gt;
+                Latest value: 74.2μs (6.03% worse than best value 70.0μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-16:/4c49742b7165aec1a21aea66b9f97d4692774e9c04c443a15321e38532361980</id><title xml:lang="en">7.26% ag_methods.AtomGroupMethodsBench.time_subtract(10)</title><updated>2023-08-17T05:39:35Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=10&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=10&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;7.26% regression&lt;/a&gt; on 2023-08-16 07:05:33 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;acfd1222&lt;/a&gt;.&lt;br&gt;
+                New value: 33.2μs, old value: 30.9μs.&lt;br&gt;
+                Latest value: 33.2μs (7.26% worse than best value 30.9μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-16:/c432cd6af0bfe57846b0f5e59976f347a93cd49c00f978cf373225158d20e646</id><title xml:lang="en">6.70% ag_methods.AtomGroupMethodsBench.time_subtract(1000)</title><updated>2023-08-17T05:39:35Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=1000&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=1000&amp;commits=acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;6.70% regression&lt;/a&gt; on 2023-08-16 07:05:33 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/acfd1222a94965a4b0a31c3d6870c5c5252829fd"&gt;acfd1222&lt;/a&gt;.&lt;br&gt;
                 New value: 41.9μs, old value: 39.3μs.&lt;br&gt;
-                Latest value: 41.9μs (6.65% worse than best value 39.3μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-16:/a9a04b9044628faa4dccf2ed80b2b06130cc41e69c5f606615f5a54415b753e3</id><title xml:lang="en">7.22% ag_methods.AtomGroupMethodsBench.time_subtract(100)</title><updated>2023-08-17T04:51:16Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=100&amp;commits=9032eb035e969b98e193134cb80050c489fd134f" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=100&amp;commits=9032eb035e969b98e193134cb80050c489fd134f"&gt;7.22% regression&lt;/a&gt; on 2023-08-16 21:36:20 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/9032eb035e969b98e193134cb80050c489fd134f"&gt;9032eb03&lt;/a&gt;.&lt;br&gt;
+                Latest value: 41.9μs (6.70% worse than best value 39.3μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-16:/a9a04b9044628faa4dccf2ed80b2b06130cc41e69c5f606615f5a54415b753e3</id><title xml:lang="en">7.22% ag_methods.AtomGroupMethodsBench.time_subtract(100)</title><updated>2023-08-17T04:51:16Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=100&amp;commits=9032eb035e969b98e193134cb80050c489fd134f" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_subtract?python=3.11&amp;p-num_atoms=100&amp;commits=9032eb035e969b98e193134cb80050c489fd134f"&gt;7.22% regression&lt;/a&gt; on 2023-08-16 21:36:20 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/9032eb035e969b98e193134cb80050c489fd134f"&gt;9032eb03&lt;/a&gt;.&lt;br&gt;
                 New value: 33.9μs, old value: 31.6μs.&lt;br&gt;
                 Latest value: 33.9μs (7.22% worse than best value 31.6μs).</content></entry><entry><id>tag:mdanalysis.asv,2023-08-15:/635f9193b3c63a0807aa773f206ab24ac936879587b3ecad97d63a62640ce89e</id><title xml:lang="en">5.66% analysis.distances.DistancesBench.time_calc_dihedrals(1000)</title><updated>2023-08-16T09:38:50Z</updated><link href="index.html#analysis.distances.DistancesBench.time_calc_dihedrals?python=3.9&amp;p-num_atoms=1000&amp;commits=03447ea4183c561138faa8548f14e8f9f6358e26-fa0fb82690e4daa5c0a81189ef448b81b43f355b" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.distances.DistancesBench.time_calc_dihedrals?python=3.9&amp;p-num_atoms=1000&amp;commits=03447ea4183c561138faa8548f14e8f9f6358e26-fa0fb82690e4daa5c0a81189ef448b81b43f355b"&gt;5.66% regression&lt;/a&gt; on 2023-08-15 08:41:17 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/03447ea4183c561138faa8548f14e8f9f6358e26...fa0fb82690e4daa5c0a81189ef448b81b43f355b"&gt;03447ea4...fa0fb826&lt;/a&gt;.&lt;br&gt;
                 New value: 63.5μs, old value: 60.1μs.&lt;br&gt;
@@ -715,43 +715,33 @@
                 New value: 115ms, old value: 109ms.&lt;br&gt;
                 Latest value: 115ms (11944113.02% worse than best value 966ns).</content></entry><entry><id>tag:mdanalysis.asv,2016-12-23:/9ea55e70c244d064924ddddf6fcdd2cbc9aa67d89f44c4acb992cb8036a43e1d</id><title xml:lang="en">2.24% import.ImportBench.time_import</title><updated>2020-02-27T17:42:35Z</updated><link href="index.html#import.ImportBench.time_import?python=2.7&amp;commits=c6050648f526436cbe4fee944e2d0828eb9daa60" /><content xml:lang="en" type="html">&lt;a href="index.html#import.ImportBench.time_import?python=2.7&amp;commits=c6050648f526436cbe4fee944e2d0828eb9daa60"&gt;2.24% regression&lt;/a&gt; on 2016-12-23 11:33:53 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/c6050648f526436cbe4fee944e2d0828eb9daa60"&gt;c6050648&lt;/a&gt;.&lt;br&gt;
                 New value: 561ns, old value: 549ns.&lt;br&gt;
-                Latest value: 2.69μs (391.17% worse than best value 549ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-19:/d2e74003c9ee6f6404f31508061dccd334869e7b81f9e59c1188db0340a62dd1</id><title xml:lang="en">2.05% ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc(10000)</title><updated>2020-02-27T16:50:36Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc?python=2.7&amp;p-num_atoms=10000&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf-9ded575784673baefc181161f80bfb91b5f7c2be" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc?python=2.7&amp;p-num_atoms=10000&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf-9ded575784673baefc181161f80bfb91b5f7c2be"&gt;2.05% regression&lt;/a&gt; on 2017-01-19 09:39:51 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/9ef4db2baf18de6ea5f4ee7b493458a9be5463bf...9ded575784673baefc181161f80bfb91b5f7c2be"&gt;9ef4db2b...9ded5757&lt;/a&gt;.&lt;br&gt;
-                New value: 607μs, old value: 595μs.&lt;br&gt;
-                Latest value: 631μs (10.78% worse than best value 570μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-18:/3fd8bc76efca88119c166345a96f19df4cfe67e3f0f5750ba8a7e77dc35f4cb6</id><title xml:lang="en">0.63% analysis.rdf.SimpleRdfBench.time_interrdf(20, [0, 5], 100)</title><updated>2020-02-27T16:50:36Z</updated><link href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+5%5D&amp;p-natoms=100&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+5%5D&amp;p-natoms=100&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf"&gt;0.63% regression&lt;/a&gt; on 2017-01-18 05:04:24 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/9ef4db2baf18de6ea5f4ee7b493458a9be5463bf"&gt;9ef4db2b&lt;/a&gt;.&lt;br&gt;
+                Latest value: 2.69μs (391.17% worse than best value 549ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-18:/3fd8bc76efca88119c166345a96f19df4cfe67e3f0f5750ba8a7e77dc35f4cb6</id><title xml:lang="en">0.63% analysis.rdf.SimpleRdfBench.time_interrdf(20, [0, 5], 100)</title><updated>2020-02-27T16:50:36Z</updated><link href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+5%5D&amp;p-natoms=100&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+5%5D&amp;p-natoms=100&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf"&gt;0.63% regression&lt;/a&gt; on 2017-01-18 05:04:24 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/9ef4db2baf18de6ea5f4ee7b493458a9be5463bf"&gt;9ef4db2b&lt;/a&gt;.&lt;br&gt;
                 New value: 28.4ms, old value: 28.2ms.&lt;br&gt;
-                Latest value: 29.7ms (16.36% worse than best value 25.5ms).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/38f08b1223e7f7757206c70d820b70ac2bcbcebede22b877ced44a6433755530</id><title xml:lang="en">11.50% ag_methods.FragmentFinding.time_find_fragments('large_fragment')</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;11.50% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
-                New value: 128ms, old value: 115ms.&lt;br&gt;
-                Latest value: 185ms (25626867.94% worse than best value 722ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/e7c61532728470c824b8d97ab074e0f7dca8401a9e535662d4fdc8235fea786f</id><title xml:lang="en">8.16% ag_methods.AtomGroupMethodsBench.time_split(10)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;8.16% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                Latest value: 29.7ms (16.36% worse than best value 25.5ms).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-19:/d2e74003c9ee6f6404f31508061dccd334869e7b81f9e59c1188db0340a62dd1</id><title xml:lang="en">2.05% ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc(10000)</title><updated>2020-02-27T16:50:36Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc?python=2.7&amp;p-num_atoms=10000&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf-9ded575784673baefc181161f80bfb91b5f7c2be" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_bsphere_no_pbc?python=2.7&amp;p-num_atoms=10000&amp;commits=9ef4db2baf18de6ea5f4ee7b493458a9be5463bf-9ded575784673baefc181161f80bfb91b5f7c2be"&gt;2.05% regression&lt;/a&gt; on 2017-01-19 09:39:51 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/9ef4db2baf18de6ea5f4ee7b493458a9be5463bf...9ded575784673baefc181161f80bfb91b5f7c2be"&gt;9ef4db2b...9ded5757&lt;/a&gt;.&lt;br&gt;
+                New value: 607μs, old value: 595μs.&lt;br&gt;
+                Latest value: 631μs (10.78% worse than best value 570μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/801069e19022134ed50deac5d115d1127f8ebeb6bb05d40a50436f1b434194b7</id><title xml:lang="en">411.72% import.ImportBench.time_import</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#import.ImportBench.time_import?python=2.7&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#import.ImportBench.time_import?python=2.7&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;411.72% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                New value: 2.90μs, old value: 567ns.&lt;br&gt;
+                Latest value: 2.90μs (411.72% worse than best value 567ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/6b514e2d83c94f857641dc56ff147a9a6524606bd6c2f1714ce247d287534f9f</id><title xml:lang="en">18.66% ag_methods.AtomGroupAttrsBench.time_improper(10000)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;18.66% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                New value: 4.58μs, old value: 3.86μs.&lt;br&gt;
+                Latest value: 7.67μs (98.49% worse than best value 3.86μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/640de2a4187e16b45dbc3355df77ca79a474eddb812aeb2a80f1a1fa104611f4</id><title xml:lang="en">26.07% ag_methods.AtomGroupAttrsBench.time_bond(10)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;26.07% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                New value: 4.85μs, old value: 3.85μs.&lt;br&gt;
+                Latest value: 7.57μs (96.55% worse than best value 3.85μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/5c486b6502abfaacee917d483637894ab4fada0e5539279ff348473c4798e3e4</id><title xml:lang="en">23.54% ag_methods.AtomGroupAttrsBench.time_bond(10000)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;23.54% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                New value: 4.78μs, old value: 3.87μs.&lt;br&gt;
+                Latest value: 8.03μs (107.59% worse than best value 3.87μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/e7c61532728470c824b8d97ab074e0f7dca8401a9e535662d4fdc8235fea786f</id><title xml:lang="en">8.16% ag_methods.AtomGroupMethodsBench.time_split(10)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;8.16% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
                 New value: 14.3μs, old value: 13.2μs.&lt;br&gt;
                 Latest value: 17.0μs (28.59% worse than best value 13.2μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/295771294a052f6cd3483c12ebbc910a5000a56f637bcd60cc4c9a9737b7a802</id><title xml:lang="en">10.95% ag_methods.AtomGroupMethodsBench.time_split(1000)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=1000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=1000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;10.95% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
                 New value: 382μs, old value: 345μs.&lt;br&gt;
                 Latest value: 597μs (73.30% worse than best value 345μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/79734f785007a168bf8dd866d384aff66db6bb891df80878a9ed4dd3cae65520</id><title xml:lang="en">9.09% ag_methods.AtomGroupMethodsBench.time_split(10000)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;9.09% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
                 New value: 19.1ms, old value: 17.6ms.&lt;br&gt;
-                Latest value: 25.6ms (161.62% worse than best value 9.78ms).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/801069e19022134ed50deac5d115d1127f8ebeb6bb05d40a50436f1b434194b7</id><title xml:lang="en">411.72% import.ImportBench.time_import</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#import.ImportBench.time_import?python=2.7&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#import.ImportBench.time_import?python=2.7&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;411.72% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
-                New value: 2.90μs, old value: 567ns.&lt;br&gt;
-                Latest value: 2.90μs (411.72% worse than best value 567ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/640de2a4187e16b45dbc3355df77ca79a474eddb812aeb2a80f1a1fa104611f4</id><title xml:lang="en">26.07% ag_methods.AtomGroupAttrsBench.time_bond(10)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;26.07% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
-                New value: 4.85μs, old value: 3.85μs.&lt;br&gt;
-                Latest value: 7.57μs (96.55% worse than best value 3.85μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/5c486b6502abfaacee917d483637894ab4fada0e5539279ff348473c4798e3e4</id><title xml:lang="en">23.54% ag_methods.AtomGroupAttrsBench.time_bond(10000)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;23.54% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
-                New value: 4.78μs, old value: 3.87μs.&lt;br&gt;
-                Latest value: 8.03μs (107.59% worse than best value 3.87μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/67fdd8304fdd6379e18928d83a8463079fef30411641be34758d39760518cefe</id><title xml:lang="en">9.10% ag_methods.AtomGroupMethodsBench.time_guess_bonds(10)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;9.10% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                Latest value: 25.6ms (161.62% worse than best value 9.78ms).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/38f08b1223e7f7757206c70d820b70ac2bcbcebede22b877ced44a6433755530</id><title xml:lang="en">11.50% ag_methods.FragmentFinding.time_find_fragments('large_fragment')</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;11.50% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
+                New value: 128ms, old value: 115ms.&lt;br&gt;
+                Latest value: 185ms (25626867.94% worse than best value 722ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/67fdd8304fdd6379e18928d83a8463079fef30411641be34758d39760518cefe</id><title xml:lang="en">9.10% ag_methods.AtomGroupMethodsBench.time_guess_bonds(10)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;9.10% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
                 New value: 3.32ms, old value: 3.04ms.&lt;br&gt;
-                Latest value: 4.21ms (968.63% worse than best value 394μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-01-26:/6b514e2d83c94f857641dc56ff147a9a6524606bd6c2f1714ce247d287534f9f</id><title xml:lang="en">18.66% ag_methods.AtomGroupAttrsBench.time_improper(10000)</title><updated>2020-02-27T16:41:58Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=ebacb4f2b7a18a43ea41aebb640dae066c19e90f-dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;18.66% regression&lt;/a&gt; on 2017-01-26 06:31:27 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/ebacb4f2b7a18a43ea41aebb640dae066c19e90f...dad6b32f29d89cd91688588426a256d0495b2a6a"&gt;ebacb4f2...dad6b32f&lt;/a&gt;.&lt;br&gt;
-                New value: 4.58μs, old value: 3.86μs.&lt;br&gt;
-                Latest value: 7.67μs (98.49% worse than best value 3.86μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-02-25:/5e50dd73cf2d33c838f39cd621cb034432dfb9bc220231fce0f2807c9fe5c878</id><title xml:lang="en">5.65% ag_methods.AtomGroupAttrsBench.time_forces(100)</title><updated>2020-02-27T15:58:30Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=100&amp;commits=803d8134b994a225a0337c9be652d14f307cc365-4d0f3e3127c1a6ade53c04bf7f93d916cebcef39" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=100&amp;commits=803d8134b994a225a0337c9be652d14f307cc365-4d0f3e3127c1a6ade53c04bf7f93d916cebcef39"&gt;5.65% regression&lt;/a&gt; on 2017-02-25 08:07:46 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/803d8134b994a225a0337c9be652d14f307cc365...4d0f3e3127c1a6ade53c04bf7f93d916cebcef39"&gt;803d8134...4d0f3e31&lt;/a&gt;.&lt;br&gt;
+                Latest value: 4.21ms (968.63% worse than best value 394μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-02-25:/5e50dd73cf2d33c838f39cd621cb034432dfb9bc220231fce0f2807c9fe5c878</id><title xml:lang="en">5.65% ag_methods.AtomGroupAttrsBench.time_forces(100)</title><updated>2020-02-27T15:58:30Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=100&amp;commits=803d8134b994a225a0337c9be652d14f307cc365-4d0f3e3127c1a6ade53c04bf7f93d916cebcef39" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=100&amp;commits=803d8134b994a225a0337c9be652d14f307cc365-4d0f3e3127c1a6ade53c04bf7f93d916cebcef39"&gt;5.65% regression&lt;/a&gt; on 2017-02-25 08:07:46 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/803d8134b994a225a0337c9be652d14f307cc365...4d0f3e3127c1a6ade53c04bf7f93d916cebcef39"&gt;803d8134...4d0f3e31&lt;/a&gt;.&lt;br&gt;
                 New value: 3.17μs, old value: 3.00μs.&lt;br&gt;
                 Latest value: 3.19μs (6.12% worse than best value 3.00μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-02-25:/3b81476c2af87ca77289ae696711fc1e38b6f2b1310bfeec6f71d7073387001e</id><title xml:lang="en">5.67% ag_methods.AtomGroupAttrsBench.time_forces(1000)</title><updated>2020-02-27T15:58:30Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=1000&amp;commits=803d8134b994a225a0337c9be652d14f307cc365-4d0f3e3127c1a6ade53c04bf7f93d916cebcef39" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=1000&amp;commits=803d8134b994a225a0337c9be652d14f307cc365-4d0f3e3127c1a6ade53c04bf7f93d916cebcef39"&gt;5.67% regression&lt;/a&gt; on 2017-02-25 08:07:46 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/803d8134b994a225a0337c9be652d14f307cc365...4d0f3e3127c1a6ade53c04bf7f93d916cebcef39"&gt;803d8134...4d0f3e31&lt;/a&gt;.&lt;br&gt;
                 New value: 3.18μs, old value: 3.01μs.&lt;br&gt;
-                Latest value: 3.18μs (5.69% worse than best value 3.01μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/8944dcda28fe45c9041d838d22723909c608169b72044cf89cf59f64f91a793d</id><title xml:lang="en">6.40% ag_methods.AtomGroupAttrsBench.time_forces(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;6.40% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.12μs, old value: 2.94μs.&lt;br&gt;
-                Latest value: 3.18μs (8.39% worse than best value 2.94μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/31e3b820b64abe59526defa618be71a3cfa3c1102a81685e6b53d7413f8fa68a</id><title xml:lang="en">6.25% ag_methods.AtomGroupAttrsBench.time_forces(1000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=1000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=1000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;6.25% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.13μs, old value: 2.95μs.&lt;br&gt;
-                Latest value: 3.13μs (6.25% worse than best value 2.95μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/cbed044d436525998a57aadf8b1bbfa4c2ec163bb493a659e9cc4eae2a5049ea</id><title xml:lang="en">5.75% ag_methods.AtomGroupAttrsBench.time_forces(10000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.75% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.12μs, old value: 2.95μs.&lt;br&gt;
-                Latest value: 3.16μs (7.15% worse than best value 2.95μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/0365c77a3c0d966338652c429803a9de10f151566548da9a308f9c4ab9fa2de8</id><title xml:lang="en">13.45% ag_methods.AtomGroupAttrsBench.time_positions(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;13.45% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 2.77μs, old value: 2.44μs.&lt;br&gt;
-                Latest value: 2.77μs (13.45% worse than best value 2.44μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/94b127e6e61b5a97a9d9fa837cf9ff761f463fbacda15563d58fb8d828685564</id><title xml:lang="en">9.68% ag_methods.AtomGroupAttrsBench.time_positions(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;9.68% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.92μs, old value: 3.58μs.&lt;br&gt;
-                Latest value: 3.92μs (9.68% worse than best value 3.58μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/1774c0dd5905ca722d9f61279f4eda224bdb9ad6aa19e2e5e9361c657c122c41</id><title xml:lang="en">5.68% ag_methods.AtomGroupAttrsBench.time_velocity(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.68% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                Latest value: 3.18μs (5.69% worse than best value 3.01μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/1774c0dd5905ca722d9f61279f4eda224bdb9ad6aa19e2e5e9361c657c122c41</id><title xml:lang="en">5.68% ag_methods.AtomGroupAttrsBench.time_velocity(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.68% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 3.18μs, old value: 3.01μs.&lt;br&gt;
                 Latest value: 3.18μs (5.68% worse than best value 3.01μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/714ebe267b2f0c318bd867e5112e1e29ffd824ba27adaa54af743d8adc13c47d</id><title xml:lang="en">6.13% ag_methods.AtomGroupAttrsBench.time_velocity(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;6.13% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 3.17μs, old value: 2.99μs.&lt;br&gt;
@@ -759,33 +749,43 @@
                 New value: 3.18μs, old value: 2.98μs.&lt;br&gt;
                 Latest value: 3.18μs (6.57% worse than best value 2.98μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/39e3c5373f12298d69cc64e90ece6d9068797497778d8611af7944b31c4f4a65</id><title xml:lang="en">5.31% ag_methods.AtomGroupAttrsBench.time_velocity(10000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.31% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 3.18μs, old value: 3.02μs.&lt;br&gt;
-                Latest value: 3.18μs (5.31% worse than best value 3.02μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/8944dcda28fe45c9041d838d22723909c608169b72044cf89cf59f64f91a793d</id><title xml:lang="en">5.96% ag_methods.AtomGroupAttrsBench.time_forces(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.96% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.18μs, old value: 3.00μs.&lt;br&gt;
-                Latest value: 3.22μs (7.36% worse than best value 3.00μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/cbed044d436525998a57aadf8b1bbfa4c2ec163bb493a659e9cc4eae2a5049ea</id><title xml:lang="en">5.80% ag_methods.AtomGroupAttrsBench.time_forces(10000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.80% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.17μs, old value: 3.00μs.&lt;br&gt;
-                Latest value: 3.20μs (6.68% worse than best value 3.00μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/ae915cf4045897cd5b8462e576ab2bbcefc084556cf3ec2a003febaaa76b0065</id><title xml:lang="en">21.12% ag_methods.AtomGroupMethodsBench.time_split(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;21.12% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                Latest value: 3.18μs (5.31% worse than best value 3.02μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/0365c77a3c0d966338652c429803a9de10f151566548da9a308f9c4ab9fa2de8</id><title xml:lang="en">13.45% ag_methods.AtomGroupAttrsBench.time_positions(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;13.45% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 2.77μs, old value: 2.44μs.&lt;br&gt;
+                Latest value: 2.77μs (13.45% worse than best value 2.44μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/94b127e6e61b5a97a9d9fa837cf9ff761f463fbacda15563d58fb8d828685564</id><title xml:lang="en">9.68% ag_methods.AtomGroupAttrsBench.time_positions(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;9.68% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.92μs, old value: 3.58μs.&lt;br&gt;
+                Latest value: 3.92μs (9.68% worse than best value 3.58μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/8944dcda28fe45c9041d838d22723909c608169b72044cf89cf59f64f91a793d</id><title xml:lang="en">6.40% ag_methods.AtomGroupAttrsBench.time_forces(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;6.40% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.12μs, old value: 2.94μs.&lt;br&gt;
+                Latest value: 3.18μs (8.39% worse than best value 2.94μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/31e3b820b64abe59526defa618be71a3cfa3c1102a81685e6b53d7413f8fa68a</id><title xml:lang="en">6.25% ag_methods.AtomGroupAttrsBench.time_forces(1000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=1000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=1000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;6.25% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.13μs, old value: 2.95μs.&lt;br&gt;
+                Latest value: 3.13μs (6.25% worse than best value 2.95μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/cbed044d436525998a57aadf8b1bbfa4c2ec163bb493a659e9cc4eae2a5049ea</id><title xml:lang="en">5.75% ag_methods.AtomGroupAttrsBench.time_forces(10000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.75% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.12μs, old value: 2.95μs.&lt;br&gt;
+                Latest value: 3.16μs (7.15% worse than best value 2.95μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/ae915cf4045897cd5b8462e576ab2bbcefc084556cf3ec2a003febaaa76b0065</id><title xml:lang="en">21.12% ag_methods.AtomGroupMethodsBench.time_split(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;21.12% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 36.5μs, old value: 30.1μs.&lt;br&gt;
-                Latest value: 50.0μs (66.18% worse than best value 30.1μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/0365c77a3c0d966338652c429803a9de10f151566548da9a308f9c4ab9fa2de8</id><title xml:lang="en">12.25% ag_methods.AtomGroupAttrsBench.time_positions(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;12.25% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 2.77μs, old value: 2.47μs.&lt;br&gt;
-                Latest value: 2.77μs (12.25% worse than best value 2.47μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/94b127e6e61b5a97a9d9fa837cf9ff761f463fbacda15563d58fb8d828685564</id><title xml:lang="en">8.02% ag_methods.AtomGroupAttrsBench.time_positions(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;8.02% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
-                New value: 3.96μs, old value: 3.66μs.&lt;br&gt;
-                Latest value: 3.97μs (8.48% worse than best value 3.66μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/714ebe267b2f0c318bd867e5112e1e29ffd824ba27adaa54af743d8adc13c47d</id><title xml:lang="en">4.91% ag_methods.AtomGroupAttrsBench.time_velocity(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4.91% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                Latest value: 50.0μs (66.18% worse than best value 30.1μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/714ebe267b2f0c318bd867e5112e1e29ffd824ba27adaa54af743d8adc13c47d</id><title xml:lang="en">4.91% ag_methods.AtomGroupAttrsBench.time_velocity(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4.91% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 3.19μs, old value: 3.04μs.&lt;br&gt;
                 Latest value: 3.24μs (6.44% worse than best value 3.04μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/4be357777768c3a4c00fa5b91db53f408b86591fdfb4f7b9c867172207b051bd</id><title xml:lang="en">5.29% ag_methods.AtomGroupAttrsBench.time_velocity(1000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=1000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=1000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.29% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 3.22μs, old value: 3.06μs.&lt;br&gt;
                 Latest value: 3.22μs (5.30% worse than best value 3.06μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/39e3c5373f12298d69cc64e90ece6d9068797497778d8611af7944b31c4f4a65</id><title xml:lang="en">5.00% ag_methods.AtomGroupAttrsBench.time_velocity(10000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_velocity?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.00% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
                 New value: 3.21μs, old value: 3.06μs.&lt;br&gt;
-                Latest value: 3.21μs (5.00% worse than best value 3.06μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-10:/abeabb1776c3453438cc896698bd5aed990074659490337a92b9ade380a4b359</id><title xml:lang="en">6.04% selections.SimpleSelectionBench.time_simple_selections('resnum 1:10')</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9" /><content xml:lang="en" type="html">&lt;a href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;6.04% regression&lt;/a&gt; on 2017-04-10 15:03:20 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;2521d78b&lt;/a&gt;.&lt;br&gt;
+                Latest value: 3.21μs (5.00% worse than best value 3.06μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/0365c77a3c0d966338652c429803a9de10f151566548da9a308f9c4ab9fa2de8</id><title xml:lang="en">12.25% ag_methods.AtomGroupAttrsBench.time_positions(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;12.25% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 2.77μs, old value: 2.47μs.&lt;br&gt;
+                Latest value: 2.77μs (12.25% worse than best value 2.47μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/94b127e6e61b5a97a9d9fa837cf9ff761f463fbacda15563d58fb8d828685564</id><title xml:lang="en">8.02% ag_methods.AtomGroupAttrsBench.time_positions(100)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_positions?python=2.7&amp;p-num_atoms=100&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;8.02% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.96μs, old value: 3.66μs.&lt;br&gt;
+                Latest value: 3.97μs (8.48% worse than best value 3.66μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/8944dcda28fe45c9041d838d22723909c608169b72044cf89cf59f64f91a793d</id><title xml:lang="en">5.96% ag_methods.AtomGroupAttrsBench.time_forces(10)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.96% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.18μs, old value: 3.00μs.&lt;br&gt;
+                Latest value: 3.22μs (7.36% worse than best value 3.00μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-03-15:/cbed044d436525998a57aadf8b1bbfa4c2ec163bb493a659e9cc4eae2a5049ea</id><title xml:lang="en">5.80% ag_methods.AtomGroupAttrsBench.time_forces(10000)</title><updated>2020-02-27T15:49:48Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_forces?python=2.7&amp;p-num_atoms=10000&amp;commits=4d0f3e3127c1a6ade53c04bf7f93d916cebcef39-1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;5.80% regression&lt;/a&gt; on 2017-03-15 16:25:43 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/4d0f3e3127c1a6ade53c04bf7f93d916cebcef39...1b165be7a06b7c6505a4430dcca98503c7102e5a"&gt;4d0f3e31...1b165be7&lt;/a&gt;.&lt;br&gt;
+                New value: 3.17μs, old value: 3.00μs.&lt;br&gt;
+                Latest value: 3.20μs (6.68% worse than best value 3.00μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-10:/abeabb1776c3453438cc896698bd5aed990074659490337a92b9ade380a4b359</id><title xml:lang="en">6.04% selections.SimpleSelectionBench.time_simple_selections('resnum 1:10')</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9" /><content xml:lang="en" type="html">&lt;a href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;6.04% regression&lt;/a&gt; on 2017-04-10 15:03:20 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;2521d78b&lt;/a&gt;.&lt;br&gt;
                 New value: 187μs, old value: 177μs.&lt;br&gt;
                 Latest value: 227μs (32.08% worse than best value 172μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-17:/30fc6b1cae21bd23da20212217725fedc5d7a43555a1edc41775184d7de7ecd1</id><title xml:lang="en">10.19% selections.SimpleSelectionBench.time_simple_selections('bynum 0:10')</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27bynum+0%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd" /><content xml:lang="en" type="html">&lt;a href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27bynum+0%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;10.19% regression&lt;/a&gt; on 2017-04-17 14:41:37 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/2521d78b7bf4b480fc993ede0bcc365177a702f9...ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;2521d78b...ca30efa9&lt;/a&gt;.&lt;br&gt;
                 New value: 118μs, old value: 107μs.&lt;br&gt;
-                Latest value: 119μs (15.31% worse than best value 103μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-17:/566be6eb6d8f935be59666d074a7f95fc9ecafe6c6b5e8c6133de55928ec4e9d</id><title xml:lang="en">8.56% selections.SimpleSelectionBench.time_simple_selections('resnum 1:10')</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd" /><content xml:lang="en" type="html">&lt;a href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;8.56% regression&lt;/a&gt; on 2017-04-17 14:41:37 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/2521d78b7bf4b480fc993ede0bcc365177a702f9...ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;2521d78b...ca30efa9&lt;/a&gt;.&lt;br&gt;
+                Latest value: 119μs (15.31% worse than best value 103μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-10:/e67a9440acce24c44a1125d71b47f15db0b682d4e0d7905930c38ca5ea5c67dd</id><title xml:lang="en">28.02% ag_methods.AtomGroupMethodsBench.time_groupby(10)</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;28.02% regression&lt;/a&gt; on 2017-04-10 15:03:20 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;2521d78b&lt;/a&gt;.&lt;br&gt;
+                New value: 12.5μs, old value: 9.73μs.&lt;br&gt;
+                Latest value: 16.7μs (71.60% worse than best value 9.73μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-17:/566be6eb6d8f935be59666d074a7f95fc9ecafe6c6b5e8c6133de55928ec4e9d</id><title xml:lang="en">8.56% selections.SimpleSelectionBench.time_simple_selections('resnum 1:10')</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd" /><content xml:lang="en" type="html">&lt;a href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27resnum+1%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;8.56% regression&lt;/a&gt; on 2017-04-17 14:41:37 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/2521d78b7bf4b480fc993ede0bcc365177a702f9...ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;2521d78b...ca30efa9&lt;/a&gt;.&lt;br&gt;
                 New value: 188μs, old value: 173μs.&lt;br&gt;
                 Latest value: 226μs (30.61% worse than best value 173μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-17:/30fc6b1cae21bd23da20212217725fedc5d7a43555a1edc41775184d7de7ecd1</id><title xml:lang="en">11.71% selections.SimpleSelectionBench.time_simple_selections('bynum 0:10')</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27bynum+0%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd" /><content xml:lang="en" type="html">&lt;a href="index.html#selections.SimpleSelectionBench.time_simple_selections?python=2.7&amp;p-selection_string=%27bynum+0%3A10%27&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9-ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;11.71% regression&lt;/a&gt; on 2017-04-17 14:41:37 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/2521d78b7bf4b480fc993ede0bcc365177a702f9...ca30efa938a0123b546429ec295e8d6a151bb8fd"&gt;2521d78b...ca30efa9&lt;/a&gt;.&lt;br&gt;
                 New value: 118μs, old value: 105μs.&lt;br&gt;
-                Latest value: 118μs (11.81% worse than best value 105μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-04-10:/e67a9440acce24c44a1125d71b47f15db0b682d4e0d7905930c38ca5ea5c67dd</id><title xml:lang="en">28.02% ag_methods.AtomGroupMethodsBench.time_groupby(10)</title><updated>2020-02-27T15:28:03Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;28.02% regression&lt;/a&gt; on 2017-04-10 15:03:20 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/2521d78b7bf4b480fc993ede0bcc365177a702f9"&gt;2521d78b&lt;/a&gt;.&lt;br&gt;
-                New value: 12.5μs, old value: 9.73μs.&lt;br&gt;
-                Latest value: 16.7μs (71.60% worse than best value 9.73μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-05-07:/2a28007cdf356fc0e7ddc93f3ce1c6696b5c1c0dc321aa9f7259e488febb2e97</id><title xml:lang="en">24.17% ag_methods.FragmentFinding.time_find_fragments('large_fragment')</title><updated>2020-02-27T15:11:41Z</updated><link href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=d5667ae9b52c1f14d9cc0fe3cb77799c9a5635c2" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=d5667ae9b52c1f14d9cc0fe3cb77799c9a5635c2"&gt;24.17% regression&lt;/a&gt; on 2017-05-07 12:42:39 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/d5667ae9b52c1f14d9cc0fe3cb77799c9a5635c2"&gt;d5667ae9&lt;/a&gt;.&lt;br&gt;
+                Latest value: 118μs (11.81% worse than best value 105μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-05-07:/2a28007cdf356fc0e7ddc93f3ce1c6696b5c1c0dc321aa9f7259e488febb2e97</id><title xml:lang="en">24.17% ag_methods.FragmentFinding.time_find_fragments('large_fragment')</title><updated>2020-02-27T15:11:41Z</updated><link href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=d5667ae9b52c1f14d9cc0fe3cb77799c9a5635c2" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=d5667ae9b52c1f14d9cc0fe3cb77799c9a5635c2"&gt;24.17% regression&lt;/a&gt; on 2017-05-07 12:42:39 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/d5667ae9b52c1f14d9cc0fe3cb77799c9a5635c2"&gt;d5667ae9&lt;/a&gt;.&lt;br&gt;
                 New value: 159ms, old value: 128ms.&lt;br&gt;
                 Latest value: 185ms (25626867.94% worse than best value 722ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-06-13:/71970aa3535b55d39c0ac21736f10a4828b9b51874eb0509e848cece9a4bd814</id><title xml:lang="en">16.63% ag_methods.FragmentFinding.time_find_fragments('large_fragment')</title><updated>2020-02-27T14:41:13Z</updated><link href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=ebe2b84e64456aa7ef9d665a281f096f4dbfbb00" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.FragmentFinding.time_find_fragments?python=2.7&amp;p-universe_type=%27large_fragment%27&amp;commits=ebe2b84e64456aa7ef9d665a281f096f4dbfbb00"&gt;16.63% regression&lt;/a&gt; on 2017-06-13 17:16:12 in commit &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/ebe2b84e64456aa7ef9d665a281f096f4dbfbb00"&gt;ebe2b84e&lt;/a&gt;.&lt;br&gt;
                 New value: 185ms, old value: 159ms.&lt;br&gt;
@@ -797,23 +797,7 @@
                 New value: 887ns, old value: 686ns.&lt;br&gt;
                 Latest value: 887ns (37.45% worse than best value 645ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/92dc0aa7873f63a5d0fa58dc07d8fb9b25f79e52dae6baadaa60965dc0c12b05</id><title xml:lang="en">28.85% ag_methods.AtomGroupAttrsBench.time_atomcount(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;28.85% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 886ns, old value: 687ns.&lt;br&gt;
-                Latest value: 886ns (36.16% worse than best value 651ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/4d33fc45833741999855f47a700dd677a31274b262b8e667d624c3b890e3dead</id><title xml:lang="en">49.42% ag_methods.AtomGroupMethodsBench.time_concatenate(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;49.42% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 5.75μs, old value: 3.85μs.&lt;br&gt;
-                Latest value: 5.86μs (52.29% worse than best value 3.85μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/67619b69593a377b94a7dd21ff838669936fe97e280ccfe9f1a07a55780dad12</id><title xml:lang="en">49.16% ag_methods.AtomGroupMethodsBench.time_concatenate(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;49.16% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 6.08μs, old value: 4.08μs.&lt;br&gt;
-                Latest value: 6.11μs (49.85% worse than best value 4.08μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/0c26950f19d50217e9581e0d6a8533dd7b9a0c7d7c6ab80ed3aff0282d23bb7f</id><title xml:lang="en">41.81% ag_methods.AtomGroupMethodsBench.time_concatenate(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;41.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 6.66μs, old value: 4.70μs.&lt;br&gt;
-                Latest value: 6.66μs (41.81% worse than best value 4.70μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/5f07df4a4d8ab3bce9cb53a85c1b4c40e590d4834319b0a284ce540e70a2c329</id><title xml:lang="en">18.43% ag_methods.AtomGroupMethodsBench.time_concatenate(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;18.43% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 13.0μs, old value: 11.0μs.&lt;br&gt;
-                Latest value: 13.2μs (20.78% worse than best value 11.0μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/a735dd24bc899f5e03b59e94ad31337ffb28bc27261c8e9d5cf2174e7c8297d3</id><title xml:lang="en">14.25% ag_methods.AtomGroupMethodsBench.time_intersection(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;14.25% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 17.2μs, old value: 15.1μs.&lt;br&gt;
-                Latest value: 18.0μs (19.63% worse than best value 15.1μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/726b0652d831481aa8b07631c276f6e71984214ec31d72ee5c6eb1079a71a037</id><title xml:lang="en">12.55% ag_methods.AtomGroupMethodsBench.time_intersection(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;12.55% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 20.5μs, old value: 18.2μs.&lt;br&gt;
-                Latest value: 20.5μs (12.55% worse than best value 18.2μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-05:/634e658893a1a54bb0599c74265c3e67fda545d3127ae3de0ef87cd7ca9fd250</id><title xml:lang="en">3.51% ag_methods.AtomGroupMethodsBench.time_intersection(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=1000&amp;commits=9b074d53ce84f40de11c9599349d75cdfc12fa8c-1e11a67c39e35e3fd4775a6ac759440eb0f8cabc" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=1000&amp;commits=9b074d53ce84f40de11c9599349d75cdfc12fa8c-1e11a67c39e35e3fd4775a6ac759440eb0f8cabc"&gt;3.51% regression&lt;/a&gt; on 2017-12-05 12:30:24 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/9b074d53ce84f40de11c9599349d75cdfc12fa8c...1e11a67c39e35e3fd4775a6ac759440eb0f8cabc"&gt;9b074d53...1e11a67c&lt;/a&gt;.&lt;br&gt;
-                New value: 92.0μs, old value: 88.8μs.&lt;br&gt;
-                Latest value: 93.7μs (5.51% worse than best value 88.8μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/2bcaf5f59960c3cc07d5f13cbf5533780162edc3a82f53264c778e040781e78d</id><title xml:lang="en">6.22% ag_methods.AtomGroupAttrsBench.time_residuecount(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_residuecount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_residuecount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;6.22% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 13.1μs, old value: 12.3μs.&lt;br&gt;
-                Latest value: 13.2μs (1302.07% worse than best value 941ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/8fffc681d38f9bd8d51be8152d66d67bb62cd12fce2bc5649c71859901745a2b</id><title xml:lang="en">27.89% ag_methods.AtomGroupAttrsBench.time_atomcount(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;27.89% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                Latest value: 886ns (36.16% worse than best value 651ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/8fffc681d38f9bd8d51be8152d66d67bb62cd12fce2bc5649c71859901745a2b</id><title xml:lang="en">27.89% ag_methods.AtomGroupAttrsBench.time_atomcount(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;27.89% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 875ns, old value: 684ns.&lt;br&gt;
                 Latest value: 875ns (35.11% worse than best value 648ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/88f238968feaa9c701d99a61195944e56f79fd10946a85e1104dc814e7903372</id><title xml:lang="en">26.01% ag_methods.AtomGroupAttrsBench.time_atomcount(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;26.01% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 863ns, old value: 685ns.&lt;br&gt;
@@ -821,17 +805,29 @@
                 New value: 878ns, old value: 690ns.&lt;br&gt;
                 Latest value: 878ns (34.69% worse than best value 652ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/92dc0aa7873f63a5d0fa58dc07d8fb9b25f79e52dae6baadaa60965dc0c12b05</id><title xml:lang="en">27.72% ag_methods.AtomGroupAttrsBench.time_atomcount(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_atomcount?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;27.72% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 881ns, old value: 690ns.&lt;br&gt;
-                Latest value: 881ns (34.64% worse than best value 655ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/8f89d43787d2423ec7ea5b355af58ea47531a9196ac1687817a1f5a2b623c962</id><title xml:lang="en">15.96% ag_methods.AtomGroupMethodsBench.time_isdisjoint(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;15.96% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 17.9μs, old value: 15.4μs.&lt;br&gt;
-                Latest value: 18.6μs (20.65% worse than best value 15.4μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/1e7377c3dd91bba7097c6c1c702b05b74ee21b7d6252188d77b7c9732ff9b1c3</id><title xml:lang="en">13.02% ag_methods.AtomGroupMethodsBench.time_isdisjoint(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;13.02% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 21.1μs, old value: 18.7μs.&lt;br&gt;
-                Latest value: 21.8μs (16.53% worse than best value 18.7μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/1b4d5e61d1c0e5182f9f85a4d81f503f5a474b512c798e3942d3cd9144019f34</id><title xml:lang="en">3.83% ag_methods.AtomGroupMethodsBench.time_isdisjoint(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;3.83% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 93.4μs, old value: 90.0μs.&lt;br&gt;
-                Latest value: 94.6μs (5.15% worse than best value 90.0μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/feeb6f660c64a03ab309aa6258d81edc3c5ca9ef1d02d2459021b8356cf1b4c7</id><title xml:lang="en">4.00% ag_methods.AtomGroupAttrsBench.time_segments(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_segments?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_segments?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;4.00% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 12.8μs, old value: 12.3μs.&lt;br&gt;
-                Latest value: 13.2μs (2162.81% worse than best value 584ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/63b2e3a9abad632bd5285ee2e1ada983660f0804a0d570dc0db582a611bf7fd3</id><title xml:lang="en">11.42% ag_methods.AtomGroupMethodsBench.time_difference(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_difference?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_difference?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;11.42% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                Latest value: 881ns (34.64% worse than best value 655ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/63b2e3a9abad632bd5285ee2e1ada983660f0804a0d570dc0db582a611bf7fd3</id><title xml:lang="en">11.42% ag_methods.AtomGroupMethodsBench.time_difference(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_difference?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_difference?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;11.42% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 27.4μs, old value: 24.6μs.&lt;br&gt;
-                Latest value: 27.4μs (11.42% worse than best value 24.6μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/e37cb4e6e5aae107bf0dcdfea325b35c399ada9fa71f8d2f78b675d18b157cc8</id><title xml:lang="en">8.20% ag_methods.AtomGroupMethodsBench.time_split(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;8.20% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                Latest value: 27.4μs (11.42% worse than best value 24.6μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/0b58bd636c52ac64b940b69f55effabd33541e5698ba754ca194df9a9ea8fb34</id><title xml:lang="en">24.81% ag_methods.AtomGroupMethodsBench.time_union(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;24.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 11.7μs, old value: 9.38μs.&lt;br&gt;
+                Latest value: 11.7μs (24.81% worse than best value 9.38μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/32a539e733604b54f49cccfe16077c7a348a22ba494c1807644c543f95b80928</id><title xml:lang="en">17.26% ag_methods.AtomGroupMethodsBench.time_union(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;17.26% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 13.8μs, old value: 11.7μs.&lt;br&gt;
+                Latest value: 14.3μs (21.89% worse than best value 11.7μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/f3291da4eb49e3f43624c9828e402f68a1eb9f76aa2cdd5b9d145cebd64517eb</id><title xml:lang="en">25.82% ag_methods.AtomGroupAttrsBench.time_improper(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;25.82% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 7.67μs, old value: 6.09μs.&lt;br&gt;
+                Latest value: 7.67μs (98.49% worse than best value 3.86μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/196ac26d3da23784428e2c2a919e69e3acbfe056d8075af49ddf966de1fcb58f</id><title xml:lang="en">6.20% ag_methods.AtomGroupAttrsBench.time_segmentcount(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_segmentcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_segmentcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;6.20% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 13.6μs, old value: 12.8μs.&lt;br&gt;
+                Latest value: 13.6μs (1074.35% worse than best value 1.16μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/4d33fc45833741999855f47a700dd677a31274b262b8e667d624c3b890e3dead</id><title xml:lang="en">49.42% ag_methods.AtomGroupMethodsBench.time_concatenate(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;49.42% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 5.75μs, old value: 3.85μs.&lt;br&gt;
+                Latest value: 5.86μs (52.29% worse than best value 3.85μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/67619b69593a377b94a7dd21ff838669936fe97e280ccfe9f1a07a55780dad12</id><title xml:lang="en">49.16% ag_methods.AtomGroupMethodsBench.time_concatenate(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;49.16% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 6.08μs, old value: 4.08μs.&lt;br&gt;
+                Latest value: 6.11μs (49.85% worse than best value 4.08μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/0c26950f19d50217e9581e0d6a8533dd7b9a0c7d7c6ab80ed3aff0282d23bb7f</id><title xml:lang="en">41.81% ag_methods.AtomGroupMethodsBench.time_concatenate(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;41.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 6.66μs, old value: 4.70μs.&lt;br&gt;
+                Latest value: 6.66μs (41.81% worse than best value 4.70μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/5f07df4a4d8ab3bce9cb53a85c1b4c40e590d4834319b0a284ce540e70a2c329</id><title xml:lang="en">18.43% ag_methods.AtomGroupMethodsBench.time_concatenate(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_concatenate?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;18.43% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 13.0μs, old value: 11.0μs.&lt;br&gt;
+                Latest value: 13.2μs (20.78% worse than best value 11.0μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/12502a841499f83354a63d33566474375447bfc82e68ecd912ffec2614e6881d</id><title xml:lang="en">24.24% ag_methods.AtomGroupAttrsBench.time_bond(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;24.24% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 7.57μs, old value: 6.09μs.&lt;br&gt;
+                Latest value: 7.57μs (96.55% worse than best value 3.85μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/f7b3a2c68beb70ece563a4d8e7d426903b0429730f2b4b39e0d10f239f6a4474</id><title xml:lang="en">25.98% ag_methods.AtomGroupAttrsBench.time_bond(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;25.98% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 7.64μs, old value: 6.06μs.&lt;br&gt;
+                Latest value: 8.03μs (107.59% worse than best value 3.87μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/e37cb4e6e5aae107bf0dcdfea325b35c399ada9fa71f8d2f78b675d18b157cc8</id><title xml:lang="en">8.20% ag_methods.AtomGroupMethodsBench.time_split(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;8.20% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 17.0μs, old value: 15.7μs.&lt;br&gt;
                 Latest value: 17.0μs (28.59% worse than best value 13.2μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/e3b4956f9b79643ed41f033fe150e5bd908985088e1476dee23e0cefea853599</id><title xml:lang="en">17.83% ag_methods.AtomGroupMethodsBench.time_split(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;17.83% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 49.5μs, old value: 42.0μs.&lt;br&gt;
@@ -839,35 +835,39 @@
                 New value: 597μs, old value: 488μs.&lt;br&gt;
                 Latest value: 597μs (73.30% worse than best value 345μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/9c57b0381f2d1c1db97ecb4f2e1ff50042f59f319bfdf1ed1fa60e4c94f66efd</id><title xml:lang="en">11.81% ag_methods.AtomGroupMethodsBench.time_split(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_split?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;11.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 24.8ms, old value: 22.2ms.&lt;br&gt;
-                Latest value: 25.6ms (161.62% worse than best value 9.78ms).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/0b58bd636c52ac64b940b69f55effabd33541e5698ba754ca194df9a9ea8fb34</id><title xml:lang="en">24.81% ag_methods.AtomGroupMethodsBench.time_union(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;24.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 11.7μs, old value: 9.38μs.&lt;br&gt;
-                Latest value: 11.7μs (24.81% worse than best value 9.38μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/32a539e733604b54f49cccfe16077c7a348a22ba494c1807644c543f95b80928</id><title xml:lang="en">17.26% ag_methods.AtomGroupMethodsBench.time_union(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_union?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;17.26% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 13.8μs, old value: 11.7μs.&lt;br&gt;
-                Latest value: 14.3μs (21.89% worse than best value 11.7μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/023f9a0aeeccb1e4bd8890c511a193e2aea3b2594d38568a98dd849c8390b22e</id><title xml:lang="en">18.10% ag_methods.AtomGroupMethodsBench.time_groupby(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;18.10% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                Latest value: 25.6ms (161.62% worse than best value 9.78ms).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/feeb6f660c64a03ab309aa6258d81edc3c5ca9ef1d02d2459021b8356cf1b4c7</id><title xml:lang="en">4.00% ag_methods.AtomGroupAttrsBench.time_segments(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_segments?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_segments?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;4.00% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 12.8μs, old value: 12.3μs.&lt;br&gt;
+                Latest value: 13.2μs (2162.81% worse than best value 584ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/023f9a0aeeccb1e4bd8890c511a193e2aea3b2594d38568a98dd849c8390b22e</id><title xml:lang="en">18.10% ag_methods.AtomGroupMethodsBench.time_groupby(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;18.10% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 14.7μs, old value: 12.5μs.&lt;br&gt;
                 Latest value: 16.7μs (71.60% worse than best value 9.73μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/73f5cadff5ba87d294bb225d2b1d60dd0fb4798de08fe88226cb7ae5f8ac82e6</id><title xml:lang="en">20.63% ag_methods.AtomGroupMethodsBench.time_groupby(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;20.63% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 49.2μs, old value: 40.8μs.&lt;br&gt;
                 Latest value: 49.2μs (48.05% worse than best value 33.2μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/cead8e28f5f7fd3b9124744872f8e7fa83af0b531aeb2948997e260765f9cc44</id><title xml:lang="en">8.15% ag_methods.AtomGroupMethodsBench.time_groupby(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_groupby?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;8.15% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 339μs, old value: 314μs.&lt;br&gt;
-                Latest value: 346μs (22.99% worse than best value 281μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/570267a59e5af7a7b1dbdccb91b67e0e8d38a95eb5ee619fcfea6e5a91e82664</id><title xml:lang="en">7.81% ag_methods.AtomGroupAttrsBench.time_residues(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_residues?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_residues?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;7.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 12.5μs, old value: 11.6μs.&lt;br&gt;
-                Latest value: 12.5μs (2540.79% worse than best value 474ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/12502a841499f83354a63d33566474375447bfc82e68ecd912ffec2614e6881d</id><title xml:lang="en">24.24% ag_methods.AtomGroupAttrsBench.time_bond(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;24.24% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 7.57μs, old value: 6.09μs.&lt;br&gt;
-                Latest value: 7.57μs (96.55% worse than best value 3.85μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/f7b3a2c68beb70ece563a4d8e7d426903b0429730f2b4b39e0d10f239f6a4474</id><title xml:lang="en">25.98% ag_methods.AtomGroupAttrsBench.time_bond(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_bond?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;25.98% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 7.64μs, old value: 6.06μs.&lt;br&gt;
-                Latest value: 8.03μs (107.59% worse than best value 3.87μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/a407549bfa1d2e2b8620ba26434e7622c9f21f6332004063e471f5a0d0f716a7</id><title xml:lang="en">9.76% ag_methods.AtomGroupMethodsBench.time_guess_bonds(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;9.76% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                Latest value: 346μs (22.99% worse than best value 281μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/a735dd24bc899f5e03b59e94ad31337ffb28bc27261c8e9d5cf2174e7c8297d3</id><title xml:lang="en">14.25% ag_methods.AtomGroupMethodsBench.time_intersection(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;14.25% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 17.2μs, old value: 15.1μs.&lt;br&gt;
+                Latest value: 18.0μs (19.63% worse than best value 15.1μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/726b0652d831481aa8b07631c276f6e71984214ec31d72ee5c6eb1079a71a037</id><title xml:lang="en">12.55% ag_methods.AtomGroupMethodsBench.time_intersection(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;12.55% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 20.5μs, old value: 18.2μs.&lt;br&gt;
+                Latest value: 20.5μs (12.55% worse than best value 18.2μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-05:/634e658893a1a54bb0599c74265c3e67fda545d3127ae3de0ef87cd7ca9fd250</id><title xml:lang="en">3.51% ag_methods.AtomGroupMethodsBench.time_intersection(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=1000&amp;commits=9b074d53ce84f40de11c9599349d75cdfc12fa8c-1e11a67c39e35e3fd4775a6ac759440eb0f8cabc" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_intersection?python=2.7&amp;p-num_atoms=1000&amp;commits=9b074d53ce84f40de11c9599349d75cdfc12fa8c-1e11a67c39e35e3fd4775a6ac759440eb0f8cabc"&gt;3.51% regression&lt;/a&gt; on 2017-12-05 12:30:24 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/9b074d53ce84f40de11c9599349d75cdfc12fa8c...1e11a67c39e35e3fd4775a6ac759440eb0f8cabc"&gt;9b074d53...1e11a67c&lt;/a&gt;.&lt;br&gt;
+                New value: 92.0μs, old value: 88.8μs.&lt;br&gt;
+                Latest value: 93.7μs (5.51% worse than best value 88.8μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/a407549bfa1d2e2b8620ba26434e7622c9f21f6332004063e471f5a0d0f716a7</id><title xml:lang="en">9.76% ag_methods.AtomGroupMethodsBench.time_guess_bonds(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_guess_bonds?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;9.76% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 4.16ms, old value: 3.79ms.&lt;br&gt;
-                Latest value: 4.21ms (968.63% worse than best value 394μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/f3291da4eb49e3f43624c9828e402f68a1eb9f76aa2cdd5b9d145cebd64517eb</id><title xml:lang="en">25.82% ag_methods.AtomGroupAttrsBench.time_improper(10000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_improper?python=2.7&amp;p-num_atoms=10000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;25.82% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 7.67μs, old value: 6.09μs.&lt;br&gt;
-                Latest value: 7.67μs (98.49% worse than best value 3.86μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/f15b04be825b22311d50bcaf860d9f5d2cdcaae7adcb378b3c797bd88f3ad5a9</id><title xml:lang="en">9.92% ag_methods.AtomGroupMethodsBench.time_symmetric_difference(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;9.92% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                Latest value: 4.21ms (968.63% worse than best value 394μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/8f89d43787d2423ec7ea5b355af58ea47531a9196ac1687817a1f5a2b623c962</id><title xml:lang="en">15.96% ag_methods.AtomGroupMethodsBench.time_isdisjoint(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;15.96% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 17.9μs, old value: 15.4μs.&lt;br&gt;
+                Latest value: 18.6μs (20.65% worse than best value 15.4μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/1e7377c3dd91bba7097c6c1c702b05b74ee21b7d6252188d77b7c9732ff9b1c3</id><title xml:lang="en">13.02% ag_methods.AtomGroupMethodsBench.time_isdisjoint(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;13.02% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 21.1μs, old value: 18.7μs.&lt;br&gt;
+                Latest value: 21.8μs (16.53% worse than best value 18.7μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/1b4d5e61d1c0e5182f9f85a4d81f503f5a474b512c798e3942d3cd9144019f34</id><title xml:lang="en">3.83% ag_methods.AtomGroupMethodsBench.time_isdisjoint(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_isdisjoint?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;3.83% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 93.4μs, old value: 90.0μs.&lt;br&gt;
+                Latest value: 94.6μs (5.15% worse than best value 90.0μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/f15b04be825b22311d50bcaf860d9f5d2cdcaae7adcb378b3c797bd88f3ad5a9</id><title xml:lang="en">9.92% ag_methods.AtomGroupMethodsBench.time_symmetric_difference(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;9.92% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 19.1μs, old value: 17.4μs.&lt;br&gt;
                 Latest value: 20.1μs (15.80% worse than best value 17.4μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/4bf46e9f719a17fa2273d80caa079e330cbe3dbb96dd750d1c0343c95f9e8423</id><title xml:lang="en">10.92% ag_methods.AtomGroupMethodsBench.time_symmetric_difference(100)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=100&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;10.92% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 21.6μs, old value: 19.5μs.&lt;br&gt;
                 Latest value: 23.0μs (17.90% worse than best value 19.5μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/feccdd57a4338fa9efb10bee1ce86ec44a22cc306fdebc68bb9a97cc93c23a9a</id><title xml:lang="en">2.83% ag_methods.AtomGroupMethodsBench.time_symmetric_difference(1000)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupMethodsBench.time_symmetric_difference?python=2.7&amp;p-num_atoms=1000&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;2.83% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
                 New value: 86.0μs, old value: 83.6μs.&lt;br&gt;
-                Latest value: 88.6μs (5.93% worse than best value 83.6μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/196ac26d3da23784428e2c2a919e69e3acbfe056d8075af49ddf966de1fcb58f</id><title xml:lang="en">6.20% ag_methods.AtomGroupAttrsBench.time_segmentcount(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_segmentcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_segmentcount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;6.20% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
-                New value: 13.6μs, old value: 12.8μs.&lt;br&gt;
-                Latest value: 13.6μs (1074.35% worse than best value 1.16μs).</content></entry><entry><id>tag:mdanalysis.asv,2018-08-20:/ff1c243ad3931732758e3cf7a923f4c6b096dde880ee55e6b4a2b3866707de56</id><title xml:lang="en">5.53% analysis.rdf.SimpleRdfBench.time_interrdf(20, [0, 20], 1000)</title><updated>2020-02-26T14:41:04Z</updated><link href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+20%5D&amp;p-natoms=1000&amp;commits=57d77d80a3236e9503473e2609ece2bdb59bc07e-d73b653f19e8446bbb9de51bb41d71f78d148d30" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+20%5D&amp;p-natoms=1000&amp;commits=57d77d80a3236e9503473e2609ece2bdb59bc07e-d73b653f19e8446bbb9de51bb41d71f78d148d30"&gt;5.53% regression&lt;/a&gt; on 2018-08-20 15:17:07 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/57d77d80a3236e9503473e2609ece2bdb59bc07e...d73b653f19e8446bbb9de51bb41d71f78d148d30"&gt;57d77d80...d73b653f&lt;/a&gt;.&lt;br&gt;
+                Latest value: 88.6μs (5.93% worse than best value 83.6μs).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/570267a59e5af7a7b1dbdccb91b67e0e8d38a95eb5ee619fcfea6e5a91e82664</id><title xml:lang="en">7.81% ag_methods.AtomGroupAttrsBench.time_residues(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_residues?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_residues?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;7.81% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 12.5μs, old value: 11.6μs.&lt;br&gt;
+                Latest value: 12.5μs (2540.79% worse than best value 474ns).</content></entry><entry><id>tag:mdanalysis.asv,2017-12-07:/2bcaf5f59960c3cc07d5f13cbf5533780162edc3a82f53264c778e040781e78d</id><title xml:lang="en">6.22% ag_methods.AtomGroupAttrsBench.time_residuecount(10)</title><updated>2020-02-27T11:28:18Z</updated><link href="index.html#ag_methods.AtomGroupAttrsBench.time_residuecount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479" /><content xml:lang="en" type="html">&lt;a href="index.html#ag_methods.AtomGroupAttrsBench.time_residuecount?python=2.7&amp;p-num_atoms=10&amp;commits=1e11a67c39e35e3fd4775a6ac759440eb0f8cabc-54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;6.22% regression&lt;/a&gt; on 2017-12-07 07:20:11 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/1e11a67c39e35e3fd4775a6ac759440eb0f8cabc...54d5bab1b2aa27b7f914078cc3e5a892e79ef479"&gt;1e11a67c...54d5bab1&lt;/a&gt;.&lt;br&gt;
+                New value: 13.1μs, old value: 12.3μs.&lt;br&gt;
+                Latest value: 13.2μs (1302.07% worse than best value 941ns).</content></entry><entry><id>tag:mdanalysis.asv,2018-08-20:/ff1c243ad3931732758e3cf7a923f4c6b096dde880ee55e6b4a2b3866707de56</id><title xml:lang="en">5.53% analysis.rdf.SimpleRdfBench.time_interrdf(20, [0, 20], 1000)</title><updated>2020-02-26T14:41:04Z</updated><link href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+20%5D&amp;p-natoms=1000&amp;commits=57d77d80a3236e9503473e2609ece2bdb59bc07e-d73b653f19e8446bbb9de51bb41d71f78d148d30" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=20&amp;p-range_val=%5B0%2C+20%5D&amp;p-natoms=1000&amp;commits=57d77d80a3236e9503473e2609ece2bdb59bc07e-d73b653f19e8446bbb9de51bb41d71f78d148d30"&gt;5.53% regression&lt;/a&gt; on 2018-08-20 15:17:07 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/57d77d80a3236e9503473e2609ece2bdb59bc07e...d73b653f19e8446bbb9de51bb41d71f78d148d30"&gt;57d77d80...d73b653f&lt;/a&gt;.&lt;br&gt;
                 New value: 665ms, old value: 630ms.&lt;br&gt;
                 Latest value: 1.17s (584.75% worse than best value 171ms).</content></entry><entry><id>tag:mdanalysis.asv,2018-08-20:/8e2f91dc8696f0a166b3f72ea6611f08290543a8d31dca2398df40694b933db4</id><title xml:lang="en">5.33% analysis.rdf.SimpleRdfBench.time_interrdf(75, [0, 20], 1000)</title><updated>2020-02-26T14:41:04Z</updated><link href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=75&amp;p-range_val=%5B0%2C+20%5D&amp;p-natoms=1000&amp;commits=57d77d80a3236e9503473e2609ece2bdb59bc07e-d73b653f19e8446bbb9de51bb41d71f78d148d30" /><content xml:lang="en" type="html">&lt;a href="index.html#analysis.rdf.SimpleRdfBench.time_interrdf?python=2.7&amp;p-nbins=75&amp;p-range_val=%5B0%2C+20%5D&amp;p-natoms=1000&amp;commits=57d77d80a3236e9503473e2609ece2bdb59bc07e-d73b653f19e8446bbb9de51bb41d71f78d148d30"&gt;5.33% regression&lt;/a&gt; on 2018-08-20 15:17:07 in commits &lt;a href="https://github.com/MDAnalysis/mdanalysis/commit/../compare/57d77d80a3236e9503473e2609ece2bdb59bc07e...d73b653f19e8446bbb9de51bb41d71f78d148d30"&gt;57d77d80...d73b653f&lt;/a&gt;.&lt;br&gt;
                 New value: 664ms, old value: 630ms.&lt;br&gt;