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Grade
Name
Complexity
Churn
Issues
F
tetragono\tetragono\auxiliaries\single_layer_auxiliaries.py
187 2 17
F
tetragono\tetragono\auxiliaries\double_layer_auxiliaries.py
165 2 15
C
tetragono\tetragono\simple_update_lattice.py
181 7 8
D
tetragono\tetragono\sampling_neural_state\observer.py
104 2 8
C
tetragono\tetragono\sampling_neural_state\gradient.py
49 1 7
A
PyTAT\tests\test_transpose.py
33 4 6
B
TAT\include\TAT\implement\qr.hpp
41 1 5
A
Dockerfile
 3 5
A
tetraku\tetraku\models\honeycomb_hubbard\__init__.py
19 3 5
A
tetraku\tetraku\models\honeycomb_hubbard\complex\__init__.py
19 3 5
A
tetraku\tetraku\models\heisenberg\__init__.py
2 2 4
B
tetragono\tetragono\sampling_neural_state\state.py
78 1 4
A
tetraku\tetraku\models\hubbard\__init__.py
7 3 4
F
tetragono\tetragono\sampling_lattice\observer.py
133 10 4
F
tetragono\tetragono\sampling_lattice\lattice.py
214 6 4
A
tetraku\tetraku\models\hubbard\complex\__init__.py
7 3 4
A
TAT\tests\test_create_fermi_tensor.cpp
10 2 4
A
TAT\tests\test_create_symmetry_tensor.cpp
10 2 4
A
TAT\include\TAT\utility\allocator.hpp
45 1 4
B
TAT\include\TAT\structure\tensor.hpp
133 2 4