Pre-release

This release is a pre-release and may not be stable for production use.

🆕 What's new

^{- 2026/10/19: v0.11.0rc1 added the Rust and hybrid solvers: lapjvr, lapjvh, lapjvr_batch, and lapjvh_batch.}
^{- 2026/09/07: v0.10.0rc1 added Python 3.15 support and lapmod_batch. It improved type hints, stability, and performance.}
^{- 2025/10/31: v0.9.0 improved stability and performance across all solvers.}
^{- 2025/10/27: v0.8.0 added lapjvx_batch, lapjvxa_batch, lapjvs_batch, lapjvsa_batch and lapjvsa.}
^{- 2025/10/21: v0.7.0 added lapjvs.}
^{- 2025/10/16: v0.6.0 added lapjvx, lapjvxa, and lapjvc.}
^{- See GitHub releases for all release notes.}

Linear Assignment Problem Solvers · 𝕏

Single ✓ Batch ✓ Square ✓ Rectangular ✓

lapx started as a project to maintain Tomas Kazmar's lap, a Jonker-Volgenant solver package. It now provides additional solver functions. See the usage section for all available functions.

Read the algorithm background

lapx provides linear assignment problem solvers for dense (LAPJV ¹) and sparse (LAPMOD ²) matrices. The original lapjv and lapmod implementations come from Tomas Kazmar's lap project, based on papers ¹˒² and A. Volgenant's public domain Pascal implementation ³.

^{¹ R. Jonker and A. Volgenant, "A Shortest Augmenting Path Algorithm for Dense and Sparse Linear Assignment Problems", Computing 38, 325-340 (1987)}
^{² A. Volgenant, "Linear and Semi-Assignment Problems: A Core Oriented Approach", Computer Ops Res. 23, 917-932 (1996)}
^{³ http://www.assignmentproblems.com/LAPJV.htm | [archive.org]}

💽 Installation

Install from PyPI:

python -m pip install lapx

Published wheels cover Python 3.9–3.15 on most platforms and architectures. See the package files for details. musllinux ARMv7 wheels include all pre-existing solvers but omit lapjvr, lapjvh, lapjvr_batch, and lapjvh_batch because native Rust build tools are unavailable.

🛠️ Other installation options

Python 3.7 and 3.8 (source builds only):

Python 3.7 and 3.8 no longer receive prebuilt wheels or automated testing. Source installation remains available with compatible build dependencies and the required C++ and current Rust toolchains:

python -m pip install --no-binary=lapx lapx

Install from GitHub (requires C++ and current Rust toolchains):

python -m pip install git+https://github.com/rathaROG/lapx.git

Build and install (requires C++ and current Rust toolchains):

git clone https://github.com/rathaROG/lapx.git
cd lapx
python -m pip install .
cd ..

Run examples outside the checkout so Python loads the installed package.

🆕 lapjvr and lapjvh families

Source builds include both families by default. Set LAPX_BUILD_RUST=0 to build only the other solvers without a Rust toolchain.

See the R/H API and build guide and the historical comparisons with JVX, JVS, and SciPy.

⚡ Extra performance

Since v0.9.1, lapx enables safe base optimizations by default. For source builds, environment variables control these optimizations and optional compiler flags. The optional flags might improve performance:

LAPX_BASEOPTS=0 disables the base optimization flags that LAPX adds and link-time optimization (LTO). Other compiler defaults may still apply. This switch is available since v0.9.2.

LAPX_FASTMATH=1 enables fast-math. This option may change numerical results and the treatment of NaN or infinity. R/H retains strict floating-point rules.

LAPX_NATIVE=1 enables CPU-specific tuning for GCC/Clang and Rust. Do not distribute these builds.

LAPX_LTO=0 disables LTO, including inherited LTO defaults.

The build enables LTO by default when the compiler and linker support it. LAPX_BASEOPTS=0 does not guarantee an unoptimized or debug build. Fast-math and native tuning are independent options. Both options are disabled by default. Keep both options disabled for portable release wheels.

See setup.py for more details.

🧪 Usage

Install the package as lapx and use import lap.

Show additional notes

Do not install both lap and lapx at the same time. Both packages provide the import name lap. The package that you install last replaces the other package's files.

If you only need lapjv and lapmod, the original lap is sufficient. Choose lapx for additional fixes, batch processing, output formats, and solvers. It also improves stability and performance.

ℹ️ Cost values

The caller must check cost values for lapjv, lapjvx, lapjvxa, lapjvs, lapjvsa, lapjvr, lapjvh, and their batch variants. These solvers omit this check to reduce overhead for repeated calls. Before you call these solvers, prepare costs without NaN (not a number) or negative infinity. Results with these values are undefined. Positive infinity (np.inf) can represent a forbidden assignment.

lapjvc treats NaN and either infinity as forbidden assignments. lapmod checks its sparse arrays. Stored costs must be finite, non-negative, and less than lap.LARGE.

With return_cost=True (the default), the solvers sum total costs in float64 from the original costs, even when they solve in float32. Set return_cost=False when you need only assignments. This skips the total-cost calculation.

Cost limits and filtering after solving

lapjv, lapjvx, lapjvxa, lapjvr, and lapjvh accept cost_limit. The JVX and R/H batch solvers support it too. The value must be finite or positive infinity. The default np.inf applies no finite cost limit. With a finite limit, the solver considers leaving items unmatched during optimization. Unmatched rows and columns each incur half the limit during optimization; returned totals exclude those penalties. JV/JVX solvers expand each nonempty (N, M) problem to shape (N+M, N+M), which requires more memory and can slow the solve. R/H handles finite limits without square padding.

Some workflows, such as object tracking, apply a cost threshold after solving. For this approach, leave cost_limit=np.inf. Then remove assignment pairs whose costs exceed the threshold. Filtering after the solve can produce different assignments from using cost_limit. It removes pairs without solving again, so it cannot replace discarded matches.

Terms used in the examples

A cost matrix contains the cost of each possible assignment from a row to a column.
A mapping array gives the assigned index for each row or column.
An assignment pair contains a row index and its assigned column index.
B is the batch size. N and M are the matrix dimensions. K is the number of assignment pairs.
A dtype is an array's data type, such as float32 or float64.
The global interpreter lock (GIL) limits concurrent execution of Python code within one interpreter.

🅰️ Single-matrix Solvers 📄

1. The original function `lapjv`

lapjv supports square and rectangular cost matrices. It returns optimal assignments as mapping arrays x (size N) and y (size M). If return_cost=True, it also returns the total cost. See the API documentation for details.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, x, y = lap.lapjv(cost, extend_cost=True)
valid = x >= 0
pairs = np.column_stack((np.arange(len(x))[valid], x[valid]))

lapjv returns (total, x, y) by default, or (x, y) with return_cost=False. For a cost matrix cost with shape (N, M), x has N entries and y has M entries. x[i] gives the assigned column for row i. y[j] gives the assigned row for column j. Unmatched entries are -1.

For example, x = [1, 0] means row 0 uses column 1 and row 1 uses column 0. The example above converts mapping arrays to pairs; use lapjvx for aligned row and column indices, as in SciPy. See the original lapjv documentation at gatagat/lap.

Show lapjvx

2. The new function `lapjvx`

lapjvx uses the same algorithm as lapjv. It returns aligned row and column indices, as in SciPy's linear_sum_assignment. See the API documentation for details.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, rows, cols = lap.lapjvx(cost, extend_cost=True)
pairs = np.column_stack((rows, cols))

See the object tracking benchmark to compare lapjvx with other solvers.

Show lapjvxa

3. The new function `lapjvxa`

lapjvxa provides the same solver behavior as lapjvx. It returns assignment pairs with shape (K, 2). The caller does not need to convert the output. The pair format also suits tracking workflows that apply a cost threshold after solving, as described in Cost values. See the API documentation for details.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, pairs = lap.lapjvxa(cost, extend_cost=True)

Show lapjvc

4. The new function `lapjvc`

lapjvc extends Christoph Heindl's py-lapsolver. It returns the same output format as lapjvx and SciPy's linear_sum_assignment. See the API documentation for details.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, rows, cols = lap.lapjvc(cost)
pairs = np.column_stack((rows, cols))

Show lapjvs

5. The new function `lapjvs`

lapjvs extends Vadim Markovtsev's lapjv. Its scalar kernel does not require AVX2 instructions. It supports square and rectangular cost matrices. It can return either of these output formats:

Aligned index arrays, as in SciPy's linear_sum_assignment.
Mapping arrays x and y, as in lapjv.

See the wrapper documentation for details.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, rows, cols = lap.lapjvs(cost, jvx_like=True)
pairs = np.column_stack((rows, cols))

Show lapjvsa

6. The new function `lapjvsa`

lapjvsa provides the same solver behavior as lapjvs. It returns assignment pairs with shape (K, 2). The caller does not need to convert the output. See the wrapper documentation for details.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, pairs = lap.lapjvsa(cost)

Show lapmod

7. The original function `lapmod`

See the wrapper documentation for details.

import lap
import numpy as np

n = 3
cc = np.array([3.0, 1.0, 1.0, 4.0, 2.0, 1.0])  # Costs grouped by row
ii = np.array([0, 2, 4, 6])  # Row offsets into cc
kk = np.array([0, 1, 0, 2, 1, 2])  # Column indices for each cost
total, x, y = lap.lapmod(n, cc, ii, kk)

8. Rust and hybrid functions `lapjvr` and `lapjvh`

R/H were about 3–10× faster than SciPy across benchmarks; see benchmark.md.

lapjvr and lapjvh share a Rust Jonker-Volgenant implementation. For square problems with infinite cost_limit, lapjvh uses C++ completion. Both return aligned row and column indices, like lapjvx; use output="pairs" for the pair layout of lapjvxa.

import lap
import numpy as np

cost = np.random.rand(100, 150)
total, rows, cols = lap.lapjvr(cost, extend_cost=True)
total, pairs = lap.lapjvh(cost, extend_cost=True, output="pairs")

Both support rectangular inputs (extend_cost=True), finite cost_limit, and precision="native", "float32", or "float64". Rectangular and finite-limit problems are solved without square padding. See the API guide for full signatures, return types, and precision rules.

🅱️ Batch Solvers 🗂️

All batch solvers use the same n_threads rules:

0 (the default) or None selects the CPU count from os.cpu_count(), capped by the batch size. If the CPU count is unavailable, the solver uses one worker.
1 or a negative value runs sequentially.
Positive values select the worker count. The number of workers cannot exceed the batch size.
Explicit positive values are not capped by the detected CPU count.
Empty and single-item batches do not create a thread pool.

1. The new function `lapjvx_batch`

lapjvx_batch runs lapjvx on a batch of cost matrices with shape (B, N, M). See the wrapper documentation for details.

import lap
import numpy as np

batch_costs = np.random.rand(500, 100, 150)  # (B, N, M)
totals, rows, cols = lap.lapjvx_batch(batch_costs, extend_cost=True, n_threads=2)
print(f"total costs = {totals.sum()}")
pairs_7 = np.column_stack((rows[7], cols[7]))  # (K_b, 2)
print(f"pairs_7.shape = {pairs_7.shape}")

Show lapjvxa_batch

2. The new function `lapjvxa_batch`

lapjvxa_batch runs lapjvxa on a batch of cost matrices with shape (B, N, M). See the wrapper documentation for details.

import lap
import numpy as np

batch_costs = np.random.rand(500, 100, 150)  # (B, N, M)
totals, pairs = lap.lapjvxa_batch(batch_costs, extend_cost=True, n_threads=2)
print(f"total costs = {totals.sum()}")
print(f"pairs[7].shape = {pairs[7].shape}")

Show lapjvs_batch

3. The new function `lapjvs_batch`

lapjvs_batch runs lapjvs on a batch of cost matrices with shape (B, N, M). See the wrapper documentation for details.

import lap
import numpy as np

batch_costs = np.random.rand(500, 100, 150)  # (B, N, M)
totals, rows, cols = lap.lapjvs_batch(batch_costs, extend_cost=True, n_threads=2)
print(f"total costs = {totals.sum()}")
pairs_7 = np.column_stack((rows[7], cols[7]))  # (K_b, 2)
print(f"pairs_7.shape = {pairs_7.shape}")

Show lapjvsa_batch

4. The new function `lapjvsa_batch`

lapjvsa_batch runs lapjvsa on a batch of cost matrices with shape (B, N, M). See the wrapper documentation for details.

import lap
import numpy as np

batch_costs = np.random.rand(500, 100, 150)  # (B, N, M)
totals, pairs = lap.lapjvsa_batch(batch_costs, extend_cost=True, n_threads=2)
print(f"total costs = {totals.sum()}")
print(f"pairs[7].shape = {pairs[7].shape}")

Show lapmod_batch

5. The new function `lapmod_batch`

lapmod_batch solves a sequence of sparse (n, cc, ii, kk) problems. It uses the same inputs and checks as lapmod. Each problem must be square. Problem sizes and numbers of stored entries can differ.

Results keep the input order. For problem b, x_list[b] maps rows to columns and y_list[b] maps columns to rows. Both lists contain the same int32 arrays as the single solver.

import lap
import numpy as np

problems = [
    (2, np.array([1.0, 4.0, 3.0, 2.0]),
     np.array([0, 2, 4]), np.array([0, 1, 0, 1])),
    (3, np.array([4.0, 1.0, 3.0]),
     np.array([0, 1, 2, 3]), np.array([2, 0, 1])),
]
totals, x_list, y_list = lap.lapmod_batch(problems, n_threads=2)
print(totals)  # [3. 8.]
print(x_list[1])  # [2 0 1]

# Skip total-cost calculation when only the mappings are needed.
x_list, y_list = lap.lapmod_batch(problems, return_cost=False, n_threads=2)

With the default fast=True, the native solver releases the GIL. Independent problems can then run concurrently. Python code that checks inputs and calculates total costs can limit speedup. With fast=False, the Python solver's performance depends largely on the GIL. fp_version selects the native path-search version, as in lapmod.

Do not change input arrays while the solver runs. If a problem raises an exception, the caller receives it after the thread pool stops.

See the wrapper documentation for the full signature and return types.

6. `lapjvr_batch` and `lapjvh_batch`

lapjvr_batch and lapjvh_batch run their single-matrix solvers on a batch of cost matrices with shape (B, N, M). Results keep the input order and use the same output and precision options as the single-matrix calls.

import lap
import numpy as np

batch_costs = np.random.rand(500, 100, 150)  # (B, N, M)
totals, rows, cols = lap.lapjvr_batch(batch_costs, extend_cost=True, n_threads=2)
totals, pairs = lap.lapjvh_batch(batch_costs, extend_cost=True, output="pairs", n_threads=2)

The n_threads rules above apply; automatic mode may run small workloads serially. See the batch API guide for return types and native worker details.

🏆 Benchmark and Test

See the benchmark guide for commands, repeat controls, timing methods, and historical results.

See the test guide to run the full test suite.

📝 License

Metadata

Release files for lapx 0.11.0rc1

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

Source distribution (sdist)

Source distribution for lapx 0.11.0rc1
File	Size	Uploaded	Provenance
lapx-0.11.0rc1.tar.gz	330.1 kB	Oct 20, 2026	With provenance	Details

Built distributions (wheels)

Table of built distributions (wheels) for lapx 0.11.0rc1
File	Interpreter	ABI	Platform	Reset
lapx-0.11.0rc1-cp315-cp315-win_arm64.whl 835.1 kB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Windows ARM64	Details
lapx-0.11.0rc1-cp315-cp315-win_amd64.whl 654.2 kB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Windows x86-64	Details
lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_x86_64.whl 5.1 MB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_armv7l.whl 2.9 MB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_aarch64.whl 4.9 MB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp315-cp315-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_x86_64.whl 4.1 MB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_aarch64.whl 3.9 MB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp315-cp315-macosx_11_0_arm64.whl 895.6 kB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp315-cp315-macosx_10_15_x86_64.whl 924.5 kB Oct 20, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 10.15+ x86-64	Details
lapx-0.11.0rc1-cp314-cp314-win_arm64.whl 835.5 kB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Windows ARM64	Details
lapx-0.11.0rc1-cp314-cp314-win_amd64.whl 654.7 kB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Windows x86-64	Details
lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl 5.1 MB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_armv7l.whl 2.9 MB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl 4.9 MB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp314-cp314-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp314-cp314-manylinux_2_28_x86_64.whl 4.1 MB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp314-cp314-manylinux_2_28_aarch64.whl 3.9 MB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp314-cp314-macosx_11_0_arm64.whl 895.5 kB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp314-cp314-macosx_10_15_x86_64.whl 924.6 kB Oct 20, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 10.15+ x86-64	Details
lapx-0.11.0rc1-cp313-cp313-win_arm64.whl 807.5 kB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Windows ARM64	Details
lapx-0.11.0rc1-cp313-cp313-win_amd64.whl 635.6 kB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Windows x86-64	Details
lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl 5.1 MB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_armv7l.whl 2.9 MB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl 4.9 MB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp313-cp313-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl 4.1 MB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_aarch64.whl 4.0 MB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp313-cp313-macosx_11_0_arm64.whl 894.3 kB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp313-cp313-macosx_10_13_x86_64.whl 925.0 kB Oct 20, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
lapx-0.11.0rc1-cp312-cp312-win_arm64.whl 808.9 kB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Windows ARM64	Details
lapx-0.11.0rc1-cp312-cp312-win_amd64.whl 637.9 kB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Windows x86-64	Details
lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl 5.1 MB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_armv7l.whl 2.9 MB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl 4.9 MB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp312-cp312-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl 4.1 MB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_aarch64.whl 4.0 MB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp312-cp312-macosx_11_0_arm64.whl 896.5 kB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp312-cp312-macosx_10_13_x86_64.whl 926.9 kB Oct 20, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
lapx-0.11.0rc1-cp311-cp311-win_arm64.whl 810.8 kB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Windows ARM64	Details
lapx-0.11.0rc1-cp311-cp311-win_amd64.whl 639.3 kB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Windows x86-64	Details
lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl 5.0 MB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_armv7l.whl 2.9 MB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl 4.9 MB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp311-cp311-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl 4.0 MB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_aarch64.whl 3.9 MB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp311-cp311-macosx_11_0_arm64.whl 893.2 kB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp311-cp311-macosx_10_12_x86_64.whl 924.7 kB Oct 20, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 10.12+ x86-64	Details
lapx-0.11.0rc1-cp310-cp310-win_arm64.whl 810.8 kB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Windows ARM64	Details
lapx-0.11.0rc1-cp310-cp310-win_amd64.whl 639.0 kB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Windows x86-64	Details
lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_x86_64.whl 5.0 MB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_armv7l.whl 2.8 MB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_aarch64.whl 4.8 MB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp310-cp310-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl 4.0 MB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_aarch64.whl 3.9 MB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp310-cp310-macosx_11_0_arm64.whl 894.8 kB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp310-cp310-macosx_10_12_x86_64.whl 928.6 kB Oct 20, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 10.12+ x86-64	Details
lapx-0.11.0rc1-cp39-cp39-win_arm64.whl 812.0 kB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Windows ARM64	Details
lapx-0.11.0rc1-cp39-cp39-win_amd64.whl 640.6 kB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Windows x86-64	Details
lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_x86_64.whl 5.0 MB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Linux musl 1.2+ x86-64	Details
lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_armv7l.whl 2.8 MB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_aarch64.whl 4.8 MB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Linux musl 1.2+ ARM64	Details
lapx-0.11.0rc1-cp39-cp39-manylinux_2_31_armv7l.whl 4.2 MB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_x86_64.whl 4.0 MB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Linux glibc 2.28+ x86-64	Details
lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_aarch64.whl 3.9 MB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	Linux glibc 2.28+ ARM64	Details
lapx-0.11.0rc1-cp39-cp39-macosx_11_0_arm64.whl 895.8 kB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
lapx-0.11.0rc1-cp39-cp39-macosx_10_12_x86_64.whl 930.2 kB Oct 20, 2026 With provenance	CPython 3.9	CPython 3.9	macOS 10.12+ x86-64	Details

Total release size: 197.7 MB

Release files / lapx-0.11.0rc1.tar.gz

Download URL	lapx-0.11.0rc1.tar.gz
Size	330.1 kB
Tags	Source
SHA-256 checksum How to use checksums	`25cf5796ee83c158955fb1d7371ebb07cfcde5a5f15f31fe9ef5d8fb9021ab6a`
BLAKE2b-256 checksum How to use checksums	`544f88f752ca92d2f1f0af94c1335cc80e6765adfcabf72743bc60c4e59a4db3`
Upload date	Oct 20, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1.tar.gz
SHA-256 checksum: 25cf5796ee83c158955fb1d7371ebb07cfcde5a5f15f31fe9ef5d8fb9021ab6a Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-win_arm64.whl
Size	835.1 kB
Tags	CPython 3.15 Windows ARM64
SHA-256 checksum How to use checksums	`e64a1260e16f3cea8d39c5d412c017e035978b6efd695265048ff39d723ac2ad`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-win_arm64.whl
SHA-256 checksum: e64a1260e16f3cea8d39c5d412c017e035978b6efd695265048ff39d723ac2ad Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-win_amd64.whl
Size	654.2 kB
Tags	CPython 3.15 Windows x86-64
SHA-256 checksum How to use checksums	`8721214b4f2aca4e9d835f17fbd85bbb15b78ec3a2d507c6b4a61b1712d7b33d`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-win_amd64.whl
SHA-256 checksum: 8721214b4f2aca4e9d835f17fbd85bbb15b78ec3a2d507c6b4a61b1712d7b33d Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_x86_64.whl
Size	5.1 MB
Tags	CPython 3.15 Linux musl 1.2+ x86-64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_x86_64.whl
SHA-256 checksum: 465c36b9bf81065772fb2d25077a72180bd3de4c8222f8260fa9659a80e83c08 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_armv7l.whl
Size	2.9 MB
Tags	CPython 3.15 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`17f75584fe806635ac9cf46ee888de6c244ab6922090c0045a5d144a55938694`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_armv7l.whl
SHA-256 checksum: 17f75584fe806635ac9cf46ee888de6c244ab6922090c0045a5d144a55938694 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.15 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`681414b8d1100e42d76475081fb9dac5e33c6070b4419bd44299dc55796ddde6`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-musllinux_1_2_aarch64.whl
SHA-256 checksum: 681414b8d1100e42d76475081fb9dac5e33c6070b4419bd44299dc55796ddde6 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.15 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`e9d75c5ed4de45a820953e17bd5fe0785014e9b4c46e8f91bc64d776ae7c5414`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-manylinux_2_31_armv7l.whl
SHA-256 checksum: e9d75c5ed4de45a820953e17bd5fe0785014e9b4c46e8f91bc64d776ae7c5414 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_x86_64.whl
Size	4.1 MB
Tags	CPython 3.15 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`a6603523e778f676c5105ec2a8e21db478d0385df65d29bb28d952976b23be88`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_x86_64.whl
SHA-256 checksum: a6603523e778f676c5105ec2a8e21db478d0385df65d29bb28d952976b23be88 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_aarch64.whl
Size	3.9 MB
Tags	CPython 3.15 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`b7b352bea5805d2b671c4dfa066b484dc79366dbe46f7ec4f79ec0e4ac7dc8c8`
BLAKE2b-256 checksum How to use checksums	`7ffcb58b01f9be82def2906f58737186241afaaaf3d2610199729ecf078b6e47`
Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-manylinux_2_28_aarch64.whl
SHA-256 checksum: b7b352bea5805d2b671c4dfa066b484dc79366dbe46f7ec4f79ec0e4ac7dc8c8 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-macosx_11_0_arm64.whl
Size	895.6 kB
Tags	CPython 3.15 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`04d58918080da23e8aed889441845cf24c7bc6c580c9311563f3829b3fc04914`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-macosx_11_0_arm64.whl
SHA-256 checksum: 04d58918080da23e8aed889441845cf24c7bc6c580c9311563f3829b3fc04914 Verifying attestations

Release files / lapx-0.11.0rc1-cp315-cp315-macosx_10_15_x86_64.whl

Download URL	lapx-0.11.0rc1-cp315-cp315-macosx_10_15_x86_64.whl
Size	924.5 kB
Tags	CPython 3.15 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`5d0525fae6c01da121d953c7f52fed6b2f6550b51bb8f1f884b2443cc481888d`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp315-cp315-macosx_10_15_x86_64.whl
SHA-256 checksum: 5d0525fae6c01da121d953c7f52fed6b2f6550b51bb8f1f884b2443cc481888d Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp314-cp314-win_arm64.whl
Size	835.5 kB
Tags	CPython 3.14 Windows ARM64
SHA-256 checksum How to use checksums	`12282a0e6ce23dab2d4084cdae4d5c246e732b6a25b6122e77acf8fbd7f00e8d`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-win_arm64.whl
SHA-256 checksum: 12282a0e6ce23dab2d4084cdae4d5c246e732b6a25b6122e77acf8fbd7f00e8d Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp314-cp314-win_amd64.whl
Size	654.7 kB
Tags	CPython 3.14 Windows x86-64
SHA-256 checksum How to use checksums	`45ad59d9903936bd548cf6723dc642067d38983cf8c9464f69b2720e2101c109`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-win_amd64.whl
SHA-256 checksum: 45ad59d9903936bd548cf6723dc642067d38983cf8c9464f69b2720e2101c109 Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl

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Size	5.1 MB
Tags	CPython 3.14 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`8ec8549b46d6e8c897eda946d28e0006c6a7e41a9557d61b7b3efb7281b4c7b5`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_x86_64.whl
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Release files / lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_armv7l.whl

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Tags	CPython 3.14 Linux musl 1.2+ ARMv7l
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_armv7l.whl
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Release files / lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl
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Tags	CPython 3.14 Linux musl 1.2+ ARM64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-musllinux_1_2_aarch64.whl
SHA-256 checksum: ff5996ef7e5b7433fa01b9ab936fea1cedd405d908080f6da68191fc708bbbaf Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp314-cp314-manylinux_2_31_armv7l.whl
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-manylinux_2_31_armv7l.whl
SHA-256 checksum: 6bee48b73ec3252a6bc699b3a4d78c0132bd79a52f12f6162fe88fcd3e9e3333 Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-manylinux_2_28_x86_64.whl

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Tags	CPython 3.14 Linux glibc 2.28+ x86-64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-manylinux_2_28_x86_64.whl
SHA-256 checksum: e1d3efd721464d88092202d6f3495391bc32822b6f7c6543d03e98087da726b4 Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-manylinux_2_28_aarch64.whl

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Tags	CPython 3.14 Linux glibc 2.28+ ARM64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-manylinux_2_28_aarch64.whl
SHA-256 checksum: 0f462ea741e7fcadc8b56f4524aeaa61b7eff60c25e22747336646c193531d82 Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp314-cp314-macosx_11_0_arm64.whl
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SHA-256 checksum How to use checksums	`233948b56deab057dd27e6543ff65de0fd750066b7610f57e78ec054cd95d3cb`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-macosx_11_0_arm64.whl
SHA-256 checksum: 233948b56deab057dd27e6543ff65de0fd750066b7610f57e78ec054cd95d3cb Verifying attestations

Release files / lapx-0.11.0rc1-cp314-cp314-macosx_10_15_x86_64.whl

Download URL	lapx-0.11.0rc1-cp314-cp314-macosx_10_15_x86_64.whl
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Tags	CPython 3.14 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`16cf4c024859763ce179ec060cd682719255bc70c1d2b992c13d235d920c89a1`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp314-cp314-macosx_10_15_x86_64.whl
SHA-256 checksum: 16cf4c024859763ce179ec060cd682719255bc70c1d2b992c13d235d920c89a1 Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-win_arm64.whl
Size	807.5 kB
Tags	CPython 3.13 Windows ARM64
SHA-256 checksum How to use checksums	`594170a8a8a96501e21d48824d637125fab1538e9a9c386f98983e690aa87803`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-win_arm64.whl
SHA-256 checksum: 594170a8a8a96501e21d48824d637125fab1538e9a9c386f98983e690aa87803 Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-win_amd64.whl
Size	635.6 kB
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SHA-256 checksum How to use checksums	`e671118bc15a1a81bb57fd4133604f85b3cb9accf045539b2c4d85dcf3f59a0d`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-win_amd64.whl
SHA-256 checksum: e671118bc15a1a81bb57fd4133604f85b3cb9accf045539b2c4d85dcf3f59a0d Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl
Size	5.1 MB
Tags	CPython 3.13 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`7e0589c5f50e9bc2214c5fa643134c36ceace213a80a14ee00536b7bf028b2df`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_x86_64.whl
SHA-256 checksum: 7e0589c5f50e9bc2214c5fa643134c36ceace213a80a14ee00536b7bf028b2df Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_armv7l.whl

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Tags	CPython 3.13 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`f8119af3b3e066915f84acd30c2cf38dd2513b466c0ea18e70b8fdeb517841b0`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_armv7l.whl
SHA-256 checksum: f8119af3b3e066915f84acd30c2cf38dd2513b466c0ea18e70b8fdeb517841b0 Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl
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Tags	CPython 3.13 Linux musl 1.2+ ARM64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-musllinux_1_2_aarch64.whl
SHA-256 checksum: 7fb7617d583b5f329365bef9b197d9500e07f762099cb27c792fae7ff0700527 Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-manylinux_2_31_armv7l.whl
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Tags	CPython 3.13 Linux glibc 2.31+ ARMv7l
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-manylinux_2_31_armv7l.whl
SHA-256 checksum: c8919503b24e0563e64316f4110b09943fb2346e8d4ab3ba437851bbcb57fd89 Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl
Size	4.1 MB
Tags	CPython 3.13 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`0796fa76e0caf19bb2fa76cc77cf0b39d20c3b8291eeda80036fbcff7019b66f`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_x86_64.whl
SHA-256 checksum: 0796fa76e0caf19bb2fa76cc77cf0b39d20c3b8291eeda80036fbcff7019b66f Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_aarch64.whl
Size	4.0 MB
Tags	CPython 3.13 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`cb945a983acf59da84a3cf948de0ff415a23a892e343418fd7af97dd6618e1c2`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-manylinux_2_28_aarch64.whl
SHA-256 checksum: cb945a983acf59da84a3cf948de0ff415a23a892e343418fd7af97dd6618e1c2 Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-macosx_11_0_arm64.whl
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-macosx_11_0_arm64.whl
SHA-256 checksum: 0d0a8503d1d358fb2669e60010eaee21ac810ba791f205b0a7eb1643653b799e Verifying attestations

Release files / lapx-0.11.0rc1-cp313-cp313-macosx_10_13_x86_64.whl

Download URL	lapx-0.11.0rc1-cp313-cp313-macosx_10_13_x86_64.whl
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp313-cp313-macosx_10_13_x86_64.whl
SHA-256 checksum: fdc18d7afda77260b457bfa134dc306e80c974e2fd9d271048b95f53496e8ce6 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-win_arm64.whl
Size	808.9 kB
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-win_arm64.whl
SHA-256 checksum: dd1a0f77a7aa9ad508f2b87145ccaa89b14d9021c559754d2048ececa9869f48 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-win_amd64.whl
Size	637.9 kB
Tags	CPython 3.12 Windows x86-64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-win_amd64.whl
SHA-256 checksum: 7205ef54b780cc760889d143670457f79ff7018d1f9dfe35127e3fbb3ee48c1e Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_x86_64.whl
SHA-256 checksum: 353954409c5a427bbecaeffb16fbd6f6185ce47be024a83db9418e9ffa02b5e0 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_armv7l.whl
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Tags	CPython 3.12 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`cbd9cfbdd17e9e6e4f902f0eca56954a9199b9ff76b416b114c7e1eb79485488`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_armv7l.whl
SHA-256 checksum: cbd9cfbdd17e9e6e4f902f0eca56954a9199b9ff76b416b114c7e1eb79485488 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl
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Tags	CPython 3.12 Linux musl 1.2+ ARM64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-musllinux_1_2_aarch64.whl
SHA-256 checksum: d4ba2f774a7cf29fb71078f85dddd6419f8c544449e63bf243584db9d0f3ccb5 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-manylinux_2_31_armv7l.whl
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-manylinux_2_31_armv7l.whl
SHA-256 checksum: 7c291453c3d934cab55ea1ce7251d5233ce52795ecadc4f54a7e2ab8b4ce3458 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl
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Tags	CPython 3.12 Linux glibc 2.28+ x86-64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_x86_64.whl
SHA-256 checksum: 62e9c87a8146ab95d3a2dc5ada51d293c2ee252aa135aa02f703000e95f015e6 Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_aarch64.whl
Size	4.0 MB
Tags	CPython 3.12 Linux glibc 2.28+ ARM64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-manylinux_2_28_aarch64.whl
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Release files / lapx-0.11.0rc1-cp312-cp312-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-macosx_11_0_arm64.whl
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-macosx_11_0_arm64.whl
SHA-256 checksum: 3295e748e5353efd6e3af07faaa879670c8b5e8ee966753a659d1b54e0234d9e Verifying attestations

Release files / lapx-0.11.0rc1-cp312-cp312-macosx_10_13_x86_64.whl

Download URL	lapx-0.11.0rc1-cp312-cp312-macosx_10_13_x86_64.whl
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Tags	CPython 3.12 macOS 10.13+ x86-64
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp312-cp312-macosx_10_13_x86_64.whl
SHA-256 checksum: 9e1e24a6cccf63e7157a6d1ce3cc7f453cb84389dd0e2e2df1a1f2327c6ccd22 Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-win_arm64.whl
Size	810.8 kB
Tags	CPython 3.11 Windows ARM64
SHA-256 checksum How to use checksums	`de2b80c83fbe1fc7a2dae66f1d1959f2a48049c51ea43d54595c1633022750fe`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-win_arm64.whl
SHA-256 checksum: de2b80c83fbe1fc7a2dae66f1d1959f2a48049c51ea43d54595c1633022750fe Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-win_amd64.whl
Size	639.3 kB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`3baee07b3db2213cb3c1e466ec97bd9655a0a1e666458d28d5268f39c66b05f9`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-win_amd64.whl
SHA-256 checksum: 3baee07b3db2213cb3c1e466ec97bd9655a0a1e666458d28d5268f39c66b05f9 Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl
Size	5.0 MB
Tags	CPython 3.11 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`102c8e2d4db9b7f05e6d84ca16b271c13b1b268cacef51a42affde885bf93938`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_x86_64.whl
SHA-256 checksum: 102c8e2d4db9b7f05e6d84ca16b271c13b1b268cacef51a42affde885bf93938 Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_armv7l.whl
Size	2.9 MB
Tags	CPython 3.11 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`4d7e5f4ea80ca13eafde8fc965142845c270f71f411e5bd2e9f8485f7fbef940`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_armv7l.whl
SHA-256 checksum: 4d7e5f4ea80ca13eafde8fc965142845c270f71f411e5bd2e9f8485f7fbef940 Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.11 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`4d2ec1d5131f9b7fe9cfd1e53979aaa811d6f9a41ae5d110a5f22e44cf96ac6e`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-musllinux_1_2_aarch64.whl
SHA-256 checksum: 4d2ec1d5131f9b7fe9cfd1e53979aaa811d6f9a41ae5d110a5f22e44cf96ac6e Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.11 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`bf343f5c56b20bac3910e4db9368d3be8c68b4e5ded7dc37864fb3d8d6f7384a`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-manylinux_2_31_armv7l.whl
SHA-256 checksum: bf343f5c56b20bac3910e4db9368d3be8c68b4e5ded7dc37864fb3d8d6f7384a Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl
Size	4.0 MB
Tags	CPython 3.11 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`3f59892719ce4669cf13c74c21bd8ec101de08ce6924191ec77ed696594972da`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_x86_64.whl
SHA-256 checksum: 3f59892719ce4669cf13c74c21bd8ec101de08ce6924191ec77ed696594972da Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_aarch64.whl
Size	3.9 MB
Tags	CPython 3.11 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`0a31e2f690fd886e7411fe770f0920f22e07bcdea225aad2881f176fcc2f8247`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-manylinux_2_28_aarch64.whl
SHA-256 checksum: 0a31e2f690fd886e7411fe770f0920f22e07bcdea225aad2881f176fcc2f8247 Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-macosx_11_0_arm64.whl
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Tags	CPython 3.11 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`a494e88e0a5cb183621b120d96f542e6a8249536916632471249fc9670b546bb`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: a494e88e0a5cb183621b120d96f542e6a8249536916632471249fc9670b546bb Verifying attestations

Release files / lapx-0.11.0rc1-cp311-cp311-macosx_10_12_x86_64.whl

Download URL	lapx-0.11.0rc1-cp311-cp311-macosx_10_12_x86_64.whl
Size	924.7 kB
Tags	CPython 3.11 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`ec33dd3d9caaab9adca6b8498e0bbff4f75cff09e6bd31fa170f754ab77b4f4e`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp311-cp311-macosx_10_12_x86_64.whl
SHA-256 checksum: ec33dd3d9caaab9adca6b8498e0bbff4f75cff09e6bd31fa170f754ab77b4f4e Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-win_arm64.whl
Size	810.8 kB
Tags	CPython 3.10 Windows ARM64
SHA-256 checksum How to use checksums	`68323f270e07db38f501167d898416087387ed2a2226b9adbcc4d5284daa726b`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-win_arm64.whl
SHA-256 checksum: 68323f270e07db38f501167d898416087387ed2a2226b9adbcc4d5284daa726b Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-win_amd64.whl
Size	639.0 kB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`f3591a6ae7b3d75ae1bb420760d6f043c61ff9747b7eb0dd31fa423da98c93d4`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-win_amd64.whl
SHA-256 checksum: f3591a6ae7b3d75ae1bb420760d6f043c61ff9747b7eb0dd31fa423da98c93d4 Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_x86_64.whl
Size	5.0 MB
Tags	CPython 3.10 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`d1e9997a7322e46fabd05e53145996c46ea34542c1e15ae6e9dbc38eb21148bc`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_x86_64.whl
SHA-256 checksum: d1e9997a7322e46fabd05e53145996c46ea34542c1e15ae6e9dbc38eb21148bc Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_armv7l.whl
Size	2.8 MB
Tags	CPython 3.10 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`17dfa020e33ddfa35b6c2951b989d76dd753d76d8331a154e5da6cc9c6960145`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_armv7l.whl
SHA-256 checksum: 17dfa020e33ddfa35b6c2951b989d76dd753d76d8331a154e5da6cc9c6960145 Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_aarch64.whl
Size	4.8 MB
Tags	CPython 3.10 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`93da4d301c63720f5fde55cb158c76108af1a45e1b438aab7b6eab55b19724c4`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-musllinux_1_2_aarch64.whl
SHA-256 checksum: 93da4d301c63720f5fde55cb158c76108af1a45e1b438aab7b6eab55b19724c4 Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.10 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`6179ca44efa04c1014e5590678f0e859d50ecd45e76182b8cd2a1e6f95cfdec4`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-manylinux_2_31_armv7l.whl
SHA-256 checksum: 6179ca44efa04c1014e5590678f0e859d50ecd45e76182b8cd2a1e6f95cfdec4 Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl
Size	4.0 MB
Tags	CPython 3.10 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`6071cfbb04f99230b269085c059b109f63794307ae431a544113e4c11390bbea`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_x86_64.whl
SHA-256 checksum: 6071cfbb04f99230b269085c059b109f63794307ae431a544113e4c11390bbea Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_aarch64.whl
Size	3.9 MB
Tags	CPython 3.10 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`ae2e2e7684de47ad3e3b72553e9e8a7b78042435ed5d45fad847b557e09a9032`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-manylinux_2_28_aarch64.whl
SHA-256 checksum: ae2e2e7684de47ad3e3b72553e9e8a7b78042435ed5d45fad847b557e09a9032 Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-macosx_11_0_arm64.whl
Size	894.8 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`bba1d4452a19613cbfe94fd789423f1d75f2dbf6ebd66d37480b96d070825aaa`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: bba1d4452a19613cbfe94fd789423f1d75f2dbf6ebd66d37480b96d070825aaa Verifying attestations

Release files / lapx-0.11.0rc1-cp310-cp310-macosx_10_12_x86_64.whl

Download URL	lapx-0.11.0rc1-cp310-cp310-macosx_10_12_x86_64.whl
Size	928.6 kB
Tags	CPython 3.10 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`154b5df0a19eb661694d85228bf76ac079c27ac02731389c3ba6c1b70f10e0c3`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp310-cp310-macosx_10_12_x86_64.whl
SHA-256 checksum: 154b5df0a19eb661694d85228bf76ac079c27ac02731389c3ba6c1b70f10e0c3 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-win_arm64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-win_arm64.whl
Size	812.0 kB
Tags	CPython 3.9 Windows ARM64
SHA-256 checksum How to use checksums	`3659ad1b2c96a89d6106ab9acfdcfc227e04587562577c5cd09d46650e4ebb29`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-win_arm64.whl
SHA-256 checksum: 3659ad1b2c96a89d6106ab9acfdcfc227e04587562577c5cd09d46650e4ebb29 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-win_amd64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-win_amd64.whl
Size	640.6 kB
Tags	CPython 3.9 Windows x86-64
SHA-256 checksum How to use checksums	`5fd72c84450b0b0dfb774f156a9355f902022ca32081e521d002f7e38825e9b0`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-win_amd64.whl
SHA-256 checksum: 5fd72c84450b0b0dfb774f156a9355f902022ca32081e521d002f7e38825e9b0 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_x86_64.whl
Size	5.0 MB
Tags	CPython 3.9 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`767ba3aeaf8c3cf438e7df70306697a5359a2eb05577331040323089388bede0`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_x86_64.whl
SHA-256 checksum: 767ba3aeaf8c3cf438e7df70306697a5359a2eb05577331040323089388bede0 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_armv7l.whl
Size	2.8 MB
Tags	CPython 3.9 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`5707a09dede41f1fd88c770f555095c4a5d86e8d7c59796ffdbaaede5b75d42e`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_armv7l.whl
SHA-256 checksum: 5707a09dede41f1fd88c770f555095c4a5d86e8d7c59796ffdbaaede5b75d42e Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_aarch64.whl
Size	4.8 MB
Tags	CPython 3.9 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`ab58b6b492f3f36a57b14abb96ccaf696fa053758271de00dda72de2b762f703`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-musllinux_1_2_aarch64.whl
SHA-256 checksum: ab58b6b492f3f36a57b14abb96ccaf696fa053758271de00dda72de2b762f703 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.9 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`33354489244aa6fb5efb76c117c5b08c626f6843f4c1dbcb19f1f0d6fe2a7b31`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-manylinux_2_31_armv7l.whl
SHA-256 checksum: 33354489244aa6fb5efb76c117c5b08c626f6843f4c1dbcb19f1f0d6fe2a7b31 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_x86_64.whl
Size	4.0 MB
Tags	CPython 3.9 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`08537804a7bef60d58901659ec3604b0767baeab221a5d9fa8f108e60442d2c3`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_x86_64.whl
SHA-256 checksum: 08537804a7bef60d58901659ec3604b0767baeab221a5d9fa8f108e60442d2c3 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_aarch64.whl
Size	3.9 MB
Tags	CPython 3.9 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`211e55e5baa21f1720be4ee8bcef1db070dd08df095096448d285ac9315d560b`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-manylinux_2_28_aarch64.whl
SHA-256 checksum: 211e55e5baa21f1720be4ee8bcef1db070dd08df095096448d285ac9315d560b Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-macosx_11_0_arm64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-macosx_11_0_arm64.whl
Size	895.8 kB
Tags	CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`af5c48766b63e8d31fff07440db352bbeb6b8512dad4f5501ef4f96339f023a7`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-macosx_11_0_arm64.whl
SHA-256 checksum: af5c48766b63e8d31fff07440db352bbeb6b8512dad4f5501ef4f96339f023a7 Verifying attestations

Release files / lapx-0.11.0rc1-cp39-cp39-macosx_10_12_x86_64.whl

Download URL	lapx-0.11.0rc1-cp39-cp39-macosx_10_12_x86_64.whl
Size	930.2 kB
Tags	CPython 3.9 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`929aeb93cc9ef94c96b90377a27532d01ebe6861808c5cc47c4ddb9160a2431f`
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Upload date	Oct 20, 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/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/fc89da58b926c2b400c856a71ce40c3b901a4b8a

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/fc89da58b926c2b400c856a71ce40c3b901a4b8a/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39355157160/attempts/1

Artifact

Subject: lapx-0.11.0rc1-cp39-cp39-macosx_10_12_x86_64.whl
SHA-256 checksum: 929aeb93cc9ef94c96b90377a27532d01ebe6861808c5cc47c4ddb9160a2431f Verifying attestations