replaced typehint in shapeshifter function
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c2fa17e903
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@ -8,7 +8,7 @@ import shlex
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import re
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import re
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import fractions
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import fractions
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from functools import reduce
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from functools import reduce
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from typing import Union, Tuple, Sequence, Callable, Dict, List, Any, Literal
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from typing import Union, Tuple, Sequence, Callable, Dict, List, Any, Literal, Optional
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import pathlib
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import pathlib
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import numpy as np
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import numpy as np
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@ -398,7 +398,7 @@ def hybrid_IA(dist: np.ndarray, N: int, rng_seed: Union[int, IntSequence] = None
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def shapeshifter(fro: Tuple[int, ...],
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def shapeshifter(fro: Tuple[int, ...],
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to: Tuple[int, ...],
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to: Tuple[int, ...],
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mode: Literal['left','right'] = 'left',
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mode: Literal['left','right'] = 'left',
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keep_ones: bool = False) -> Tuple[int, ...]:
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keep_ones: bool = False) -> Tuple[Optional[int], ...]:
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"""
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"""
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Return dimensions that reshape 'fro' to become broadcastable to 'to'.
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Return dimensions that reshape 'fro' to become broadcastable to 'to'.
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@ -454,7 +454,7 @@ def shapeshifter(fro: Tuple[int, ...],
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except AssertionError:
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except AssertionError:
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raise ValueError(f'Shapes can not be shifted {fro} --> {to}')
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raise ValueError(f'Shapes can not be shifted {fro} --> {to}')
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grp: Sequence[str] = match.groups()
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grp: Sequence[str] = match.groups()
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fill: Tuple[int, ...] = ()
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fill: Tuple[Optional[int], ...] = ()
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for g,d in zip(grp,fro+(None,)):
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for g,d in zip(grp,fro+(None,)):
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fill += (1,)*g.count(',')+(d,)
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fill += (1,)*g.count(',')+(d,)
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return fill[:-1]
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return fill[:-1]
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