LPU

test version python license

LPU is a collection of utility classes/functions for language processing.

日本語版のドキュメントは README.ja.md にあります。

Requirements

Python 3.10 or later

The core features depend only on the standard library. The features listed under Optional features additionally require the smt / trie extras.

Installation

Installing from PyPI release

$ pip install lpu

To also use the word alignment models:

$ pip install 'lpu[smt]'

To also use the Double-Array Trie:

$ pip install 'lpu[smt,trie]'

Installing from GitHub master

$ pip install 'lpu[smt,trie] @ git+https://github.com/akivajp/lpu.git'

Modules

lpu.common.config

Inheritable and serializable configuration classes, useful for calling functions with many arguments.

from lpu.common.config import Config

conf = Config({'threshold': 0.5, 'nested': {'depth': 3}})
conf.update(threshold=0.8)
print(conf.data.threshold)   # 0.8
print(conf['nested.depth'])  # 3
print(conf.to_json())        # {"threshold": 0.8, "nested": {"depth": 3}}

A Config keeps two layers: values passed positionally form the inherited base layer, while values assigned afterwards go to the main layer. to_dict() returns the main layer only; pass upstream=True (the default of to_json()) to include the inherited values.

lpu.common.environ

Handling environment variables with stacks, useful for changing and reverting global settings such as debugging modes.

import os
from lpu.common import environ

with environ.push(LPU_DEBUG='1') as layer:
    layer.set('MY_SETTING', 'temporary')
    ...
# both variables are restored here

Only variables assigned through set() (or given to push()) are tracked and restored.

lpu.common.files

Utility functions for file handling, including transparent access to gzip files.

from lpu.common import files

# opens plain or gzip files alike, detected by extension and magic number
with files.open('corpus.txt.gz', 'rt') as f:
    for line in f:
        ...

files.getContentSize('corpus.txt.gz')  # uncompressed size
files.wait_file('lockfile', timeout=60)

lpu.common.logging

Enhanced logging objects (built on the standard logging library) with colorizing features and control through environment variables.

from lpu.common import logging

logger = logging.getColorLogger(__name__)
with logging.using_config(__name__, debug=True):
    some_variable = 42
    logger.debug_print(some_variable)   # some_variable => int(42)

debug_print parses the caller's source line, so the printed value is labelled with the expression it came from. The level follows the LPU_DEBUG / DEBUG and LPU_QUIET / QUIET environment variables.

lpu.common.progress

Utility classes and functions for progress reporting (progress bars) that work with file-type objects and iterators.

from lpu.common import files, progress

# progress over a gzip file is measured by the position in the
# compressed stream, so the percentage is known without decompressing
# the whole file first
for line in progress.view(files.open('corpus.txt.gz', 'rb'), 'loading'):
    ...

for item in progress.view(iter(range(1000)), 'processing'):
    ...

lpu.common.text

Conversion between bytes and str: to_str (tolerates invalid byte sequences), to_unicode (strict) and to_bytes.

lpu.common.numbers

toNumber converts a value to int when it is close enough to an integer, plus intToBytes / intFromBytes.

lpu.common.colors

put_color wraps text in ANSI escape sequences.

lpu.common.validation

check_argument_type raises a TypeError with a readable message listing the expected types.

lpu.common.vocab

StringEnumerator maps strings to sequential IDs and back. The phrase-level helpers (phrase2id, id2phrase, phraseMap) are backed by the Double-Array Trie and therefore need the trie extra; the enumerator itself does not.

lpu.data_structs.trees

Tree expressions and operations: TreeNode, parseSExpression, calcEditDistance (sequence edit distance) and calcTreeEditDistance.

from lpu.data_structs import trees

tree = trees.TreeNode.fromS('(S (NP the cat) (VP sat))')
trees.calcEditDistance('kitten', 'sitting')                       # 3
trees.calcTreeEditDistance('(S (NP a))', '(S (NP b))')            # 1

lpu.metrics

Evaluation metrics for machine translation.

from lpu.metrics import bleu, ribes

ref = 'the cat sat on the mat'.split()
hyp = 'the cat sat on a mat'.split()
bleu.eval_bleu(ref, hyp, 4)
ribes.eval_ribes(ref, hyp)

bleu is a simple sentence-level implementation with no tokenization of its own; use sacrebleu for publishable, comparable scores. ribes implements NKT * P**alpha * BP**beta following Isozaki et al. (2010).

Optional features

These require the smt extra (pip install 'lpu[smt]'), which pulls in numpy, and a compiled build of the package. The Double-Array Trie additionally needs pycedar, installed with the trie extra (pip install 'lpu[smt,trie]'; pycedar publishes no Windows wheel, so the trie features are unavailable on Windows).

lpu.data_structs.trie

Dictionaries and ID maps implemented on a Double-Array Trie: IDMap, TwoWayIDMap and Dict.

lpu.smt.align.ibm_models

Classes to train and estimate word alignment based on the IBM models (model 1 and model 2).

lpu.smt.trans_models

Records, tables and operations over Moses / Travatar style phrase and rule tables, including phrase table triangulation for pivot translation.

These modules come from work on statistical machine translation and are kept for reference; for current word alignment work, tools such as fast_align, awesome-align or SimAlign are the usual choice.

Commands

LPU also installs directly executable commands.

lpu-abspath

$ lpu-abspath [-h] filepath [filepath ...]

Get absolute paths of given files or directories.

lpu-clean-parallel

$ lpu-clean-parallel [-h] [--min min_length] [--max max_length] \
    [--ratio ratio] [--target-directory directory_path] [--escape] \
    [--normalize] filepath [filepath ...] output_tag

Filter a parallel corpus by length and length ratio, keeping the lines of every side aligned.

lpu-dialog

$ lpu-dialog [-h] [--exist filepath] [--continue] [--yes] [--no]

Show a message on condition, wait and receive the user's response.

lpu-exec-parallel

$ lpu-exec-parallel [-h] [--input filepath] [--output filepath] \
    [--splitsize num_lines] [--chunks num_files] [--threads num_threads] \
    [--tmpdir directory_path] [--verbose] [--interval seconds] command

Execute a command in multiple processes by splitting the target file.

lpu-guess-langcode

$ lpu-guess-langcode [-h] filepath [filepath ...]

Guess the language codes from the given file names.

lpu-progress

$ lpu-progress [-h] [--lines] [--refresh seconds] [--header string] \
    [filepath [filepath ...]]

Show the progress of pipe I/O.

lpu-random-split

$ lpu-random-split [-h] --input filepath [filepath ...] \
    [--prefixes prefix [prefix ...]] [--suffixes suffix [suffix ...]] \
    --tags tag [tag ...] --split-sizes size [size ...] [--ignore-empty] \
    [--quiet] [--debug] [--random-seed seed] [--ids [suffix]]

Split a parallel corpus at random into several parts, keeping the line correspondence between the sides. One of --prefixes or --suffixes is required.

lpu-wait-files

$ lpu-wait-files [-h] [--quiet] [--debug] [--delay seconds] \
    [--interval seconds] [--timeout seconds] filepath [filepath ...]

Wait until the files are found.

Word alignment commands

$ lpu-word-align-train [-h] [--save-scores filepath] \
    [--decode-align filepath] [--iteration-limit num_iterations] \
    [--threshold min_probability] [--nbest integer] [--character] \
    [--debug] [--quiet] src_path trg_path save_trans_path [save_align_path]

$ lpu-word-align-score [-h] [--save-scores filepath] \
    [--decode-align filepath] [--character] [--debug] [--quiet] \
    src_path trg_path trans_path [align_path]

Train the IBM word alignment models on a parallel corpus, and score or decode alignments with a trained model. Requires the smt extra.

Phrase / rule table commands

$ lpu-smt-convert-extract [-h] ...
$ lpu-smt-filter [-h] ...
$ lpu-smt-make-glue-rules [-h] ...
$ lpu-smt-normalize [-h] ...
$ lpu-smt-triangulate [-h] ...

Operations over Moses / Travatar style phrase and rule tables. lpu-smt-triangulate builds a pivot phrase table from two tables sharing a pivot language. Requires the smt extra. Pass --help to each command for its options.

Development

$ uv sync
$ uv run pytest

The test suite runs against an editable build, so the C extensions are exercised. Tests that need the extensions, numpy or pycedar skip themselves when those are unavailable.

To install without building any C extension:

$ LPU_NO_EXTENSIONS=1 pip install .

License

MIT. See LICENSE.

Metadata

Release files for lpu 0.5.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lpu 0.5.1
File	Size	Uploaded	Provenance
lpu-0.5.1.tar.gz	141.1 kB	Sep 18, 2026	With provenance	Details

Built distributions (wheels)

Table of built distributions (wheels) for lpu 0.5.1
File	Interpreter	ABI	Platform	Reset
lpu-0.5.1-cp314-cp314-win_amd64.whl 708.9 kB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	Windows x86-64	Details
lpu-0.5.1-cp314-cp314-win32.whl 654.2 kB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	Windows x86-32	Details
lpu-0.5.1-cp314-cp314-musllinux_1_2_x86_64.whl 4.5 MB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
lpu-0.5.1-cp314-cp314-musllinux_1_2_aarch64.whl 4.4 MB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARM64	Details
lpu-0.5.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 3.5 MB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
lpu-0.5.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 3.5 MB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
lpu-0.5.1-cp314-cp314-macosx_11_0_arm64.whl 597.7 kB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
lpu-0.5.1-cp314-cp314-macosx_10_15_x86_64.whl 602.7 kB Sep 18, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 10.15+ x86-64	Details
lpu-0.5.1-cp313-cp313-win_amd64.whl 691.1 kB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	Windows x86-64	Details
lpu-0.5.1-cp313-cp313-win32.whl 638.9 kB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	Windows x86-32	Details
lpu-0.5.1-cp313-cp313-musllinux_1_2_x86_64.whl 4.5 MB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
lpu-0.5.1-cp313-cp313-musllinux_1_2_aarch64.whl 4.4 MB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
lpu-0.5.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 3.6 MB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.24+ x86-64, Linux glibc 2.28+ x86-64	Details
lpu-0.5.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 3.5 MB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64	Details
lpu-0.5.1-cp313-cp313-macosx_11_0_arm64.whl 592.4 kB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
lpu-0.5.1-cp313-cp313-macosx_10_13_x86_64.whl 602.0 kB Sep 18, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
lpu-0.5.1-cp312-cp312-win_amd64.whl 693.2 kB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	Windows x86-64	Details
lpu-0.5.1-cp312-cp312-win32.whl 640.1 kB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	Windows x86-32	Details
lpu-0.5.1-cp312-cp312-musllinux_1_2_x86_64.whl 4.6 MB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
lpu-0.5.1-cp312-cp312-musllinux_1_2_aarch64.whl 4.4 MB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
lpu-0.5.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 3.6 MB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
lpu-0.5.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 3.5 MB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
lpu-0.5.1-cp312-cp312-macosx_11_0_arm64.whl 596.3 kB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
lpu-0.5.1-cp312-cp312-macosx_10_13_x86_64.whl 604.6 kB Sep 18, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
lpu-0.5.1-cp311-cp311-win_amd64.whl 708.0 kB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	Windows x86-64	Details
lpu-0.5.1-cp311-cp311-win32.whl 648.6 kB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	Windows x86-32	Details
lpu-0.5.1-cp311-cp311-musllinux_1_2_x86_64.whl 4.6 MB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
lpu-0.5.1-cp311-cp311-musllinux_1_2_aarch64.whl 4.5 MB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
lpu-0.5.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 3.6 MB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
lpu-0.5.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 3.6 MB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
lpu-0.5.1-cp311-cp311-macosx_11_0_arm64.whl 593.3 kB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
lpu-0.5.1-cp311-cp311-macosx_10_9_x86_64.whl 605.5 kB Sep 18, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 10.9+ x86-64	Details
lpu-0.5.1-cp310-cp310-win_amd64.whl 709.1 kB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	Windows x86-64	Details
lpu-0.5.1-cp310-cp310-win32.whl 651.1 kB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	Windows x86-32	Details
lpu-0.5.1-cp310-cp310-musllinux_1_2_x86_64.whl 4.5 MB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
lpu-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl 4.3 MB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARM64	Details
lpu-0.5.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl 3.4 MB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64	Details
lpu-0.5.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl 3.4 MB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.28+ ARM64, Linux glibc 2.24+ ARM64	Details
lpu-0.5.1-cp310-cp310-macosx_11_0_arm64.whl 596.3 kB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
lpu-0.5.1-cp310-cp310-macosx_10_9_x86_64.whl 609.3 kB Sep 18, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 10.9+ x86-64	Details

Total release size: 92.7 MB

Release files / lpu-0.5.1.tar.gz

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Subject: lpu-0.5.1-cp314-cp314-musllinux_1_2_aarch64.whl
SHA-256 checksum: a6e98cacc4f9145fd1c627983ebd6bf4e00f33a0e271119e8fbbc34f68c3c386 Verifying attestations

Release files / lpu-0.5.1-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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SHA-256 checksum: 6182879fa8df86826ceb2538e1d3ac5e2e1ded7b762b6a7f75b04e58c4d22427 Verifying attestations

Release files / lpu-0.5.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp314-cp314-macosx_11_0_arm64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

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Artifact

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Release files / lpu-0.5.1-cp314-cp314-macosx_10_15_x86_64.whl

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Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-win_amd64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-win32.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-musllinux_1_2_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-musllinux_1_2_aarch64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-macosx_11_0_arm64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp313-cp313-macosx_10_13_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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SHA-256 checksum: d80a61d348b653224e0ece27149c0cbd70627883fda9cca9977ac8409ddcf696 Verifying attestations

Release files / lpu-0.5.1-cp312-cp312-win_amd64.whl

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Size	693.2 kB
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp312-cp312-win32.whl

Download URL	lpu-0.5.1-cp312-cp312-win32.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp312-cp312-musllinux_1_2_x86_64.whl

Download URL	lpu-0.5.1-cp312-cp312-musllinux_1_2_x86_64.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp312-cp312-musllinux_1_2_aarch64.whl

Download URL	lpu-0.5.1-cp312-cp312-musllinux_1_2_aarch64.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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SHA-256 checksum: 77a51db272ac75f000a2f753a208c1e8174f6b44a9113b29e9be31dda5cbf76a Verifying attestations

Release files / lpu-0.5.1-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
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Artifact

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SHA-256 checksum: 529f2ed6a6bb794aff9d6853e6d805dffcae8bc30733e210b5eb649af30147f1 Verifying attestations

Release files / lpu-0.5.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp312-cp312-macosx_11_0_arm64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp312-cp312-macosx_10_13_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp311-cp311-win_amd64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp311-cp311-win32.whl

Download URL	lpu-0.5.1-cp311-cp311-win32.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp311-cp311-musllinux_1_2_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp311-cp311-musllinux_1_2_aarch64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
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Artifact

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Release files / lpu-0.5.1-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
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Artifact

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Release files / lpu-0.5.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp311-cp311-macosx_11_0_arm64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
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Artifact

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Release files / lpu-0.5.1-cp311-cp311-macosx_10_9_x86_64.whl

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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Publishing logs: github.com/akivajp/lpu/actions/runs/35299867255/attempts/1

Artifact

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Release files / lpu-0.5.1-cp310-cp310-win_amd64.whl

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Size	709.1 kB
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp310-cp310-win32.whl

Download URL	lpu-0.5.1-cp310-cp310-win32.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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Release files / lpu-0.5.1-cp310-cp310-musllinux_1_2_x86_64.whl

Download URL	lpu-0.5.1-cp310-cp310-musllinux_1_2_x86_64.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

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Artifact

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SHA-256 checksum: 8354cb3e3f0e379bbe154683569bb9a800e9b79bfc153fad34b456e87a3e5fc8 Verifying attestations

Release files / lpu-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl

Download URL	lpu-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl
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Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
Publishing logs: github.com/akivajp/lpu/actions/runs/35299867255/attempts/1

Artifact

Subject: lpu-0.5.1-cp310-cp310-musllinux_1_2_aarch64.whl
SHA-256 checksum: 288dbfca0b464ffa0a8d906e6490969dbe62705b2dc829fec1fc24d5653987c4 Verifying attestations

Release files / lpu-0.5.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl

Download URL	lpu-0.5.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
Size	3.4 MB
Tags	CPython 3.10 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`eeb02216ee2bb3f5ed326d1f975794fee46e0fed7312cac3e29432b411da4969`
BLAKE2b-256 checksum How to use checksums	`ca1505e7476230b68baabf46d9fc6501b497dc3c23c6c28ba0d3922f8ec14182`
Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
Publishing logs: github.com/akivajp/lpu/actions/runs/35299867255/attempts/1

Artifact

Subject: lpu-0.5.1-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
SHA-256 checksum: eeb02216ee2bb3f5ed326d1f975794fee46e0fed7312cac3e29432b411da4969 Verifying attestations

Release files / lpu-0.5.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl

Download URL	lpu-0.5.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
Size	3.4 MB
Tags	CPython 3.10 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`74e52521bf5e2e5a68e540dcdb72c68839667386cd139fcc5c28a281c042ef43`
BLAKE2b-256 checksum How to use checksums	`e0e2b402e76a4ce8a5395bd8ca7124ead433e9e93a3512cbea42a12b1c337fc7`
Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
Publishing logs: github.com/akivajp/lpu/actions/runs/35299867255/attempts/1

Artifact

Subject: lpu-0.5.1-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
SHA-256 checksum: 74e52521bf5e2e5a68e540dcdb72c68839667386cd139fcc5c28a281c042ef43 Verifying attestations

Release files / lpu-0.5.1-cp310-cp310-macosx_11_0_arm64.whl

Download URL	lpu-0.5.1-cp310-cp310-macosx_11_0_arm64.whl
Size	596.3 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`b04e500ee10f53c5521ef56d88a7c2158dbeda72a1239cd8d53cf8dc09b0adac`
BLAKE2b-256 checksum How to use checksums	`1aca04f288c1ed62f06318c307d5838c04ced55734f83b041c7ffc971fdbbaa9`
Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
Publishing logs: github.com/akivajp/lpu/actions/runs/35299867255/attempts/1

Artifact

Subject: lpu-0.5.1-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: b04e500ee10f53c5521ef56d88a7c2158dbeda72a1239cd8d53cf8dc09b0adac Verifying attestations

Release files / lpu-0.5.1-cp310-cp310-macosx_10_9_x86_64.whl

Download URL	lpu-0.5.1-cp310-cp310-macosx_10_9_x86_64.whl
Size	609.3 kB
Tags	CPython 3.10 macOS 10.9+ x86-64
SHA-256 checksum How to use checksums	`092b134a2cb12e3c16a48a578943d261d000398d7442027829cffdc2f0757ede`
BLAKE2b-256 checksum How to use checksums	`a70d66d78674a473b456bd49761cf0908f05e7b999a32d86171958bccb3cb27b`
Upload date	Sep 18, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/akivajp/lpu
Publishing commit: github.com/akivajp/lpu/tree/6621839800b451bfae42677e7992efb312e9e1ca

Workflow

Publishing configuration: github.com/akivajp/lpu/blob/6621839800b451bfae42677e7992efb312e9e1ca/.github/workflows/release.yml
Publishing logs: github.com/akivajp/lpu/actions/runs/35299867255/attempts/1

Artifact

Subject: lpu-0.5.1-cp310-cp310-macosx_10_9_x86_64.whl
SHA-256 checksum: 092b134a2cb12e3c16a48a578943d261d000398d7442027829cffdc2f0757ede Verifying attestations