Skip to content

hash map #12678

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 6 commits into
base: master
Choose a base branch
from
Open

hash map #12678

Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
28 changes: 24 additions & 4 deletions data_structures/hashing/hash_map.py
Original file line number Diff line number Diff line change
Expand Up @@ -16,7 +16,7 @@
VAL = TypeVar("VAL")


@dataclass(frozen=True, slots=True)
@dataclass(slots=True)
class _Item(Generic[KEY, VAL]):
key: KEY
val: VAL
Expand Down Expand Up @@ -72,16 +72,17 @@ def _try_set(self, ind: int, key: KEY, val: VAL) -> bool:

If bucket is empty or key is the same, does insert and return True.

If bucket has another key or deleted placeholder,
that means that we need to check next bucket.
If bucket has another key that means that we need to check next bucket.
"""
stored = self._buckets[ind]
if not stored:
# A falsy item means that bucket was never used (None)
# or was deleted (_deleted).
self._buckets[ind] = _Item(key, val)
self._len += 1
return True
elif stored.key == key:
self._buckets[ind] = _Item(key, val)
stored.val = val
return True
else:
return False
Expand Down Expand Up @@ -228,6 +229,25 @@ def __delitem__(self, key: KEY) -> None:
Traceback (most recent call last):
...
KeyError: 4

# Test resize down when sparse
## Setup: resize up
>>> hm = HashMap(100, capacity_factor=0.75)
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Can we go with size 4? In that case, we could avoid the loop.

Copy link
Contributor Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Something like this?

# Test resize down when sparse
## Setup: resize up
>>> hm = HashMap(4, capacity_factor=0.75)
>>> len(hm._buckets)
4
>>> hm[0] = 0
>>> hm[1] = 1
>>> hm[2] = 2
>>> len(hm._buckets)
4
>>> hm[3] = 3
>>> len(hm._buckets)
8

## Resize down
>>> del hm[3]
>>> len(hm._buckets)
8
>>> del hm[2]
>>> len(hm._buckets)
4

I've checked that it passes, but I don't know which one I prefer

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I'd prefer to keep tests as linear as possible.

Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Let's wait for the 3d opinion.

>>> len(hm._buckets)
100
>>> for i in range(75):
... hm[i] = i
>>> len(hm._buckets)
100
>>> hm[75] = 75
>>> len(hm._buckets)
200

## Resize down
>>> del hm[75]
>>> del hm[74]
>>> len(hm._buckets)
100
"""
for ind in self._iterate_buckets(key):
item = self._buckets[ind]
Expand Down
Loading