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import random |
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import typing |
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from abc import abstractmethod |
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from dataclasses import field |
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from typing import Any, Dict, Hashable, List |
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from .artifact import Artifact |
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from .dataclass import AbstractField |
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from .random_utils import new_random_generator |
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class Collection(Artifact): |
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items: typing.Collection = AbstractField() |
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def __getitem__(self, key: Hashable) -> Any: |
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try: |
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return self.items[key] |
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except LookupError as e: |
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raise LookupError(f"Cannot find item {key!r} in {self!r}") from e |
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@abstractmethod |
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def keys(self) -> List[Hashable]: |
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pass |
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class ListCollection(Collection): |
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items: List[Artifact] = field(default_factory=list) |
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def __len__(self): |
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return len(self.items) |
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def append(self, item): |
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self.items.append(item) |
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def extend(self, other): |
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self.items.extend(other.items) |
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def __add__(self, other): |
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return ListCollection(self.items.__add__(other.items)) |
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def keys(self) -> List[int]: |
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return list(range(len(self))) |
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class DictCollection(Collection): |
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items: Dict[str, Artifact] = field(default_factory=dict) |
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def keys(self) -> List[Hashable]: |
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return list(self.items.keys()) |
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class ItemPicker(Artifact): |
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item: object = None |
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def __call__(self, collection: Collection): |
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try: |
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return collection[int(self.item)] |
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except ( |
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SyntaxError, |
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KeyError, |
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ValueError, |
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): |
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return collection[self.item] |
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class RandomPicker(Artifact): |
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random_generator: random.Random = field( |
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default_factory=lambda: new_random_generator(sub_seed="random_picker") |
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) |
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def __call__(self, collection: Collection): |
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if isinstance(collection, ListCollection): |
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return self.random_generator.choice(list(collection.items)) |
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if isinstance(collection, DictCollection): |
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return self.random_generator.choice(list(collection.items.values())) |
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return None |
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