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| MillerIndex | __add__ (MillerIndex self, MillerIndex arg0) |
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| MillerIndex | __add__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __add__ (MillerIndex self, float arg0) |
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| MillerIndex | __iadd__ (MillerIndex self, float arg0) |
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| MillerIndex | __imul__ (MillerIndex self, float arg0) |
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| None | __init__ (self) |
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| None | __init__ (self, torch.Tensor tensor, int dynamic_dim, int intmd_dim) |
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| None | __init__ (self, Vec other) |
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| None | __init__ (self, Rot other) |
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| None | __init__ (self, WR2 other) |
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| None | __init__ (self, R2 other) |
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| None | __init__ (self, SR2 other) |
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| None | __init__ (self, R3 other) |
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| None | __init__ (self, SFR3 other) |
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| None | __init__ (self, R4 other) |
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| None | __init__ (self, SFFR4 other) |
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| None | __init__ (self, WFFR4 other) |
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| None | __init__ (self, SSR4 other) |
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| None | __init__ (self, SWR4 other) |
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| None | __init__ (self, WSR4 other) |
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| None | __init__ (self, WWR4 other) |
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| None | __init__ (self, Quaternion other) |
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| None | __init__ (self, MillerIndex other) |
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| None | __init__ (self, Tensor other) |
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| None | __init__ (self, Scalar other) |
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| None | __init__ (self, torch.Tensor tensor, int intmd_dim=0) |
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| MillerIndex | __isub__ (MillerIndex self, float arg0) |
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| MillerIndex | __itruediv__ (MillerIndex self, float arg0) |
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| MillerIndex | __mul__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __mul__ (MillerIndex self, float arg0) |
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| MillerIndex | __neg__ (MillerIndex self) |
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| MillerIndex | __pow__ (MillerIndex self, float arg0) |
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| MillerIndex | __radd__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __radd__ (MillerIndex self, float arg0) |
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| str | __repr__ (MillerIndex self) |
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| MillerIndex | __rmul__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __rmul__ (MillerIndex self, float arg0) |
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| MillerIndex | __rsub__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __rsub__ (MillerIndex self, float arg0) |
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| MillerIndex | __rtruediv__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __rtruediv__ (MillerIndex self, float arg0) |
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| str | __str__ (MillerIndex self) |
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| MillerIndex | __sub__ (MillerIndex self, MillerIndex arg0) |
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| MillerIndex | __sub__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __sub__ (MillerIndex self, float arg0) |
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| MillerIndex | __truediv__ (MillerIndex self, Scalar arg0) |
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| MillerIndex | __truediv__ (MillerIndex self, float arg0) |
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| MillerIndex | clone (MillerIndex self) |
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| MillerIndex | contiguous (MillerIndex self) |
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| torch.Tensor | copy_ (MillerIndex self, torch.Tensor arg0, bool arg1) |
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| bool | defined (MillerIndex self) |
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| MillerIndex | detach (MillerIndex self) |
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| torch.Tensor | detach_ (MillerIndex self) |
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| int | dim (MillerIndex self) |
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| Number|torch.SymInt|torch.SymFloat|torch.SymBool | item (MillerIndex self) |
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| Scalar | norm (MillerIndex self) |
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| torch.Tensor | requires_grad_ (MillerIndex self, bool arg0) |
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| Tensor | tensor (MillerIndex self) |
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| MillerIndex | to (MillerIndex self, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| torch.Tensor | torch (MillerIndex self) |
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| torch.Tensor | zero_ (MillerIndex self) |
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| MillerIndexBaseView | base (self) |
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| MillerIndexBatchView | batch (self) |
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| torch.device | device (self) |
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| torch.dtype | dtype (self) |
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| MillerIndexDynamicView | dynamic (self) |
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| torch.Tensor | grad (self) |
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| MillerIndexIntmdView | intmd (self) |
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| bool | requires_grad (self) |
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| tuple[int,...] | shape (self) |
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| MillerIndexStaticView | static (self) |
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| MillerIndex | dynamic_linspace (MillerIndex start, MillerIndex end, int step, int dim=0) |
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| MillerIndex | dynamic_logspace (MillerIndex start, MillerIndex end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| MillerIndex | empty (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | empty (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | empty_like (MillerIndex arg0) |
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| MillerIndex | full (float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | full (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, float fill_value, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | full_like (MillerIndex other, float fill_value) |
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| MillerIndex | intmd_linspace (MillerIndex start, MillerIndex end, int step, int dim=0) |
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| MillerIndex | intmd_logspace (MillerIndex start, MillerIndex end, int step, int dim=0, Number|torch.SymInt|torch.SymFloat|torch.SymBool base=10.0) |
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| MillerIndex | ones (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | ones (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | ones_like (MillerIndex arg0) |
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| MillerIndex | rand (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | rand (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes, *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | rand_like (MillerIndex arg0) |
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| MillerIndex | zeros (*, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | zeros (tuple[int,...] dynamic_sizes, tuple[int,...] intmd_sizes=(), *, torch.dtype dtype=..., torch.device device=..., bool requires_grad=False) |
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| MillerIndex | zeros_like (MillerIndex arg0) |
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