This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 3.0.15 instead.
Reason given by maintainers: Loading issue
preshed: Cython Hash Table for Pre-Hashed Keys
Simple but high performance Cython hash table mapping pre-randomized keys to
void* values. Inspired by
Jeff Preshing.
All Python APIs provded by the BloomFilter and PreshMap classes are
thread-safe on both the GIL-enabled build and the free-threaded build of Python
3.14 and newer. If you use the C API or the PreshCounter class, you must
provide external synchronization if you use the data structures by this library
in a multithreaded environment.
Installation
pip install preshed --only-binary preshed
Or with conda:
conda install -c conda-forge preshed
Usage
PreshMap
A hash map for pre-hashed keys, mapping uint64 to uint64 values.
from preshed.maps import PreshMap
map = PreshMap() # create with default size
map = PreshMap(initial_size=1024) # create with initial capacity (must be power of 2)
map[key] = value # set a value
value = map[key] # get a value (returns None if missing)
value = map.pop(key) # remove and return a value
del map[key] # delete a key
key in map # membership test
len(map) # number of entries
for key in map: # iterate over keys
pass
for key, value in map.items(): # iterate over key-value pairs
pass
for value in map.values(): # iterate over values
pass
BloomFilter
A probabilistic set for fast membership testing of integer keys.
from preshed.bloom import BloomFilter
bloom = BloomFilter(size=1024, hash_funcs=23) # explicit parameters
bloom = BloomFilter.from_error_rate(10000, error_rate=1e-4) # auto-sized
bloom.add(42) # add a key
42 in bloom # membership test (may have false positives)
data = bloom.to_bytes() # serialize
bloom.from_bytes(data) # deserialize in-place
PreshCounter
A counter backed by a hash map, for counting occurrences of uint64 keys.
from preshed.counter import PreshCounter
counter = PreshCounter()
counter.inc(key, 1) # increment key by 1
count = counter[key] # get current count
len(counter) # number of buckets
for key, count in counter: # iterate over entries
pass
counter.smooth() # apply Good-Turing smoothing
prob = counter.prob(key) # get smoothed probability
Cython API
All classes expose a C-level API via .pxd files for use in Cython
extensions. The low-level MapStruct and BloomStruct functions operate
on raw structs and can be called without the GIL:
from preshed.maps cimport PreshMap, map_get, map_set, map_iter, key_t
from preshed.bloom cimport BloomFilter, bloom_add, bloom_contains
cdef PreshMap table = PreshMap()
# Low-level nogil access (requires external synchronization)
cdef void* value
with nogil:
value = map_get(table.c_map, some_key)
3 maintainers
Metadata
3 maintainers
Release files for preshed 3.0.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| preshed-3.0.14.tar.gz | 18.4 kB | With provenance | Details |
Built distributions (wheels)
Total release size: 56.2 MB
Release files / preshed-3.0.14.tar.gz
| Download URL | preshed-3.0.14.tar.gz |
|---|---|
| Size | 18.4 kB |
| Tags | Source |
|
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.16
|
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| Download URL | preshed-3.0.14-cp315-cp315t-win_arm64.whl |
|---|---|
| Size | 132.4 kB |
| Tags | CPython 3.15 CPython 3.15 free-threading Windows ARM64 |
|
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|---|---|
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| Tags | CPython 3.15 CPython 3.15 free-threading Windows x86-64 |
|
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|---|---|
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| Tags | CPython 3.15 CPython 3.15 free-threading Linux musl 1.2+ x86-64 |
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|---|---|
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| Tags | CPython 3.15 CPython 3.15 free-threading Linux musl 1.2+ ARM64 |
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|---|---|
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| Tags | CPython 3.15 CPython 3.15 free-threading Linux glibc 2.17+ ARM64 |
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| Tags | CPython 3.15 CPython 3.15 free-threading macOS 11.0+ ARM64 |
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| Tags | CPython 3.15 Windows ARM64 |
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| Tags | CPython 3.15 Windows x86-64 |
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