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mdeval_dev
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fix/tetrah
Author | SHA1 | Date | |
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4047db209c | |||
90bd90a608 | |||
67d3e70a66 |
@ -73,7 +73,9 @@ def checksum(*args, csum=None):
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elif isinstance(arg, FunctionType):
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elif isinstance(arg, FunctionType):
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csum.update(strip_comments(inspect.getsource(arg)).encode())
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csum.update(strip_comments(inspect.getsource(arg)).encode())
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c = inspect.getclosurevars(arg)
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c = inspect.getclosurevars(arg)
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for v in {**c.nonlocals, **c.globals}.values():
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merged = {**c.nonlocals, **c.globals}
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for key in sorted(merged): # deterministic ordering
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v = merged[key]
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if v is not arg:
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if v is not arg:
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checksum(v, csum=csum)
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checksum(v, csum=csum)
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elif isinstance(arg, functools.partial):
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elif isinstance(arg, functools.partial):
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@ -182,10 +182,10 @@ def tetrahedral_order(
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)
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)
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# Connection vectors
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# Connection vectors
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neighbors_1 -= atoms
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neighbors_1 = pbc_diff(neighbors_1, atoms, box=atoms.box)
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neighbors_2 -= atoms
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neighbors_2 = pbc_diff(neighbors_2, atoms, box=atoms.box)
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neighbors_3 -= atoms
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neighbors_3 = pbc_diff(neighbors_3, atoms, box=atoms.box)
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neighbors_4 -= atoms
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neighbors_4 = pbc_diff(neighbors_4, atoms, box=atoms.box)
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# Normed Connection vectors
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# Normed Connection vectors
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neighbors_1 /= np.linalg.norm(neighbors_1, axis=-1).reshape(-1, 1)
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neighbors_1 /= np.linalg.norm(neighbors_1, axis=-1).reshape(-1, 1)
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