🆕 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 paper and reproducibility materials.

⚡ 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.

If you don't need the other LAPX solvers, you can use the dedicated laprust (Rust, from lapjvr) or lapcpp (C++) package instead; each provides the same options through lapjv and lapjv_batch. The paper (repository) describes this solver and compares it with the other LAPX solvers and SciPy.

🅱️ 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 solver test guide and the build and packaging guide to run the checks.

📝 License

Metadata

Release files for lapx 0.11.1

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

Source distribution (sdist)

Source distribution for lapx 0.11.1
File	Size	Uploaded	Provenance
lapx-0.11.1.tar.gz	331.3 kB	Oct 23, 2026	With provenance	Details

Built distributions (wheels)

Table of built distributions (wheels) for lapx 0.11.1
File	Interpreter	ABI	Platform	Reset
lapx-0.11.1-cp315-cp315-win_arm64.whl 835.6 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Windows ARM64	Details
lapx-0.11.1-cp315-cp315-win_amd64.whl 655.1 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Windows x86-64	Details
lapx-0.11.1-cp315-cp315-musllinux_1_2_x86_64.whl 5.1 MB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp315-cp315-musllinux_1_2_armv7l.whl 2.9 MB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp315-cp315-musllinux_1_2_aarch64.whl 4.9 MB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp315-cp315-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp315-cp315-manylinux_2_28_x86_64.whl 4.1 MB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp315-cp315-manylinux_2_28_aarch64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp315-cp315-macosx_11_0_arm64.whl 898.0 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp315-cp315-macosx_10_15_x86_64.whl 927.5 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 10.15+ x86-64	Details
lapx-0.11.1-cp314-cp314-win_arm64.whl 835.9 kB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Windows ARM64	Details
lapx-0.11.1-cp314-cp314-win_amd64.whl 655.7 kB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Windows x86-64	Details
lapx-0.11.1-cp314-cp314-musllinux_1_2_x86_64.whl 5.1 MB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp314-cp314-musllinux_1_2_armv7l.whl 2.9 MB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp314-cp314-musllinux_1_2_aarch64.whl 4.9 MB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp314-cp314-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp314-cp314-manylinux_2_28_x86_64.whl 4.1 MB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp314-cp314-manylinux_2_28_aarch64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp314-cp314-macosx_11_0_arm64.whl 897.9 kB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp314-cp314-macosx_10_15_x86_64.whl 927.5 kB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	macOS 10.15+ x86-64	Details
lapx-0.11.1-cp313-cp313-win_arm64.whl 807.9 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Windows ARM64	Details
lapx-0.11.1-cp313-cp313-win_amd64.whl 636.7 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Windows x86-64	Details
lapx-0.11.1-cp313-cp313-musllinux_1_2_x86_64.whl 5.1 MB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp313-cp313-musllinux_1_2_armv7l.whl 2.9 MB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp313-cp313-musllinux_1_2_aarch64.whl 4.9 MB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp313-cp313-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp313-cp313-manylinux_2_28_x86_64.whl 4.1 MB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp313-cp313-manylinux_2_28_aarch64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp313-cp313-macosx_11_0_arm64.whl 896.4 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp313-cp313-macosx_10_13_x86_64.whl 926.6 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
lapx-0.11.1-cp312-cp312-win_arm64.whl 809.3 kB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Windows ARM64	Details
lapx-0.11.1-cp312-cp312-win_amd64.whl 639.1 kB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Windows x86-64	Details
lapx-0.11.1-cp312-cp312-musllinux_1_2_x86_64.whl 5.1 MB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp312-cp312-musllinux_1_2_armv7l.whl 2.9 MB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp312-cp312-musllinux_1_2_aarch64.whl 4.9 MB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp312-cp312-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp312-cp312-manylinux_2_28_x86_64.whl 4.1 MB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp312-cp312-manylinux_2_28_aarch64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp312-cp312-macosx_11_0_arm64.whl 898.3 kB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp312-cp312-macosx_10_13_x86_64.whl 928.3 kB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	macOS 10.13+ x86-64	Details
lapx-0.11.1-cp311-cp311-win_arm64.whl 810.8 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Windows ARM64	Details
lapx-0.11.1-cp311-cp311-win_amd64.whl 639.3 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Windows x86-64	Details
lapx-0.11.1-cp311-cp311-musllinux_1_2_x86_64.whl 5.0 MB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp311-cp311-musllinux_1_2_armv7l.whl 2.9 MB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp311-cp311-musllinux_1_2_aarch64.whl 4.9 MB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp311-cp311-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp311-cp311-manylinux_2_28_x86_64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp311-cp311-manylinux_2_28_aarch64.whl 3.9 MB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp311-cp311-macosx_11_0_arm64.whl 895.7 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp311-cp311-macosx_10_12_x86_64.whl 926.2 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 10.12+ x86-64	Details
lapx-0.11.1-cp310-cp310-win_arm64.whl 811.1 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Windows ARM64	Details
lapx-0.11.1-cp310-cp310-win_amd64.whl 639.9 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Windows x86-64	Details
lapx-0.11.1-cp310-cp310-musllinux_1_2_x86_64.whl 5.0 MB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp310-cp310-musllinux_1_2_armv7l.whl 2.8 MB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp310-cp310-musllinux_1_2_aarch64.whl 4.8 MB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp310-cp310-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp310-cp310-manylinux_2_28_x86_64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp310-cp310-manylinux_2_28_aarch64.whl 3.9 MB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp310-cp310-macosx_11_0_arm64.whl 897.2 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp310-cp310-macosx_10_12_x86_64.whl 929.9 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 10.12+ x86-64	Details
lapx-0.11.1-cp39-cp39-win_arm64.whl 812.1 kB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Windows ARM64	Details
lapx-0.11.1-cp39-cp39-win_amd64.whl 641.7 kB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Windows x86-64	Details
lapx-0.11.1-cp39-cp39-musllinux_1_2_x86_64.whl 5.0 MB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Linux musl 1.2+ x86-64	Details
lapx-0.11.1-cp39-cp39-musllinux_1_2_armv7l.whl 2.8 MB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Linux musl 1.2+ ARMv7l	Details
lapx-0.11.1-cp39-cp39-musllinux_1_2_aarch64.whl 4.8 MB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Linux musl 1.2+ ARM64	Details
lapx-0.11.1-cp39-cp39-manylinux_2_31_armv7l.whl 4.2 MB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Linux glibc 2.31+ ARMv7l	Details
lapx-0.11.1-cp39-cp39-manylinux_2_28_x86_64.whl 4.0 MB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Linux glibc 2.28+ x86-64	Details
lapx-0.11.1-cp39-cp39-manylinux_2_28_aarch64.whl 3.9 MB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Linux glibc 2.28+ ARM64	Details
lapx-0.11.1-cp39-cp39-macosx_11_0_arm64.whl 898.3 kB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	macOS 11.0+ ARM64	Details
lapx-0.11.1-cp39-cp39-macosx_10_12_x86_64.whl 931.4 kB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	macOS 10.12+ x86-64	Details

Total release size: 198.1 MB

Release files / lapx-0.11.1.tar.gz

Download URL	lapx-0.11.1.tar.gz
Size	331.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`0ee5271820ea7b6695f2ac58a0098d8c4640fd7e5d5a8e57337651b2f46ac303`
BLAKE2b-256 checksum How to use checksums	`cbee6c3ec2c4aa65f979b3b15d2fd222f0b23838a05df170909a92c9f984fd54`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

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/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1.tar.gz
SHA-256 checksum: 0ee5271820ea7b6695f2ac58a0098d8c4640fd7e5d5a8e57337651b2f46ac303 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-win_arm64.whl

Download URL	lapx-0.11.1-cp315-cp315-win_arm64.whl
Size	835.6 kB
Tags	CPython 3.15 Windows ARM64
SHA-256 checksum How to use checksums	`230e2164a668f18b15471fd0989a4a376b1d4ff6a864d86115ec3f7656b08c64`
BLAKE2b-256 checksum How to use checksums	`5e1dbfb3e7a90cba08baad0c6ed30af516087032925d24085b69c74aadbc2a47`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-win_arm64.whl
SHA-256 checksum: 230e2164a668f18b15471fd0989a4a376b1d4ff6a864d86115ec3f7656b08c64 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-win_amd64.whl

Download URL	lapx-0.11.1-cp315-cp315-win_amd64.whl
Size	655.1 kB
Tags	CPython 3.15 Windows x86-64
SHA-256 checksum How to use checksums	`75392df36c64966e9ceef50b1fabdbe859335035408332fe50df95db54f05d76`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-win_amd64.whl
SHA-256 checksum: 75392df36c64966e9ceef50b1fabdbe859335035408332fe50df95db54f05d76 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-cp315-cp315-musllinux_1_2_x86_64.whl
Size	5.1 MB
Tags	CPython 3.15 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`87f45396fee0f32edafe5ecb43737ee0a4ac4bae5e33878ad10cc5964563f3f4`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-musllinux_1_2_x86_64.whl
SHA-256 checksum: 87f45396fee0f32edafe5ecb43737ee0a4ac4bae5e33878ad10cc5964563f3f4 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-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	`074514113a9d3fb03992a3befe2ba55a6c446d8a3a63c866f029896f88b03b37`
BLAKE2b-256 checksum How to use checksums	`d9d965f5f618813678201a5b783ae2b87bb3664afd0bf5d58cc5c11920522985`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-musllinux_1_2_armv7l.whl
SHA-256 checksum: 074514113a9d3fb03992a3befe2ba55a6c446d8a3a63c866f029896f88b03b37 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-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	`365a870839fbd0c60f573884569eb4f914b6b98ed6b08beb82a44d136280aa0c`
BLAKE2b-256 checksum How to use checksums	`bc29ea017ef2eafba8deaaa6ef14b0f7891b297df8a001b049386fe9c78a61fe`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-musllinux_1_2_aarch64.whl
SHA-256 checksum: 365a870839fbd0c60f573884569eb4f914b6b98ed6b08beb82a44d136280aa0c Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-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	`2670177b404bf62ae2c636e7a4e6afce55d7febc082be0f914641bf91b633376`
BLAKE2b-256 checksum How to use checksums	`c1b8cf47924fa6274d8d68a4e2756c16b98e583bef9032bfe0526d95e19f5c22`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-manylinux_2_31_armv7l.whl
SHA-256 checksum: 2670177b404bf62ae2c636e7a4e6afce55d7febc082be0f914641bf91b633376 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-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	`3ce65a3a27b20c588617592c0dd02a8cd54fa07a80b50ee52faa5f3347a1853e`
BLAKE2b-256 checksum How to use checksums	`ab5e50923c526b520f099c67a06820e655a252f4a431dfbc8d0fa1003cf1aede`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-manylinux_2_28_x86_64.whl
SHA-256 checksum: 3ce65a3a27b20c588617592c0dd02a8cd54fa07a80b50ee52faa5f3347a1853e Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-cp315-cp315-manylinux_2_28_aarch64.whl
Size	4.0 MB
Tags	CPython 3.15 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`248947f9790f417f65320984d5cb35c7da32b685c888163712d0fe8eff451277`
BLAKE2b-256 checksum How to use checksums	`c437a77f62325fe579786607d4a7ab3970fdb66af00067f50646a2b4bfb471fb`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-manylinux_2_28_aarch64.whl
SHA-256 checksum: 248947f9790f417f65320984d5cb35c7da32b685c888163712d0fe8eff451277 Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp315-cp315-macosx_11_0_arm64.whl
Size	898.0 kB
Tags	CPython 3.15 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`edfc1ab87cad81213643b3cbd0abb0e85d6364391a03e866f2d03fbe690539fd`
BLAKE2b-256 checksum How to use checksums	`a8b0e5bb3aec5ebade12229d89d6cf5c9393780545ac23caa0a151dd28c5f5fc`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-macosx_11_0_arm64.whl
SHA-256 checksum: edfc1ab87cad81213643b3cbd0abb0e85d6364391a03e866f2d03fbe690539fd Verifying attestations

Release files / lapx-0.11.1-cp315-cp315-macosx_10_15_x86_64.whl

Download URL	lapx-0.11.1-cp315-cp315-macosx_10_15_x86_64.whl
Size	927.5 kB
Tags	CPython 3.15 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`54b911c69ffebec4bf933c245541bd057753d6e71ef5b2c8d57b69a3804a2b25`
BLAKE2b-256 checksum How to use checksums	`7ae8268978938726cfe0e06500bd8a196a4819db2976e508d17514ae6f358a7d`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp315-cp315-macosx_10_15_x86_64.whl
SHA-256 checksum: 54b911c69ffebec4bf933c245541bd057753d6e71ef5b2c8d57b69a3804a2b25 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-win_arm64.whl

Download URL	lapx-0.11.1-cp314-cp314-win_arm64.whl
Size	835.9 kB
Tags	CPython 3.14 Windows ARM64
SHA-256 checksum How to use checksums	`c203be97ab1dc6e93baee5370204152b8ee518e8fd5a9324dec80d43c704ab78`
BLAKE2b-256 checksum How to use checksums	`499a1fe412f3e3e64e07394325fcd06969c4a4012f79844731f8e36175012410`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-win_arm64.whl
SHA-256 checksum: c203be97ab1dc6e93baee5370204152b8ee518e8fd5a9324dec80d43c704ab78 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-win_amd64.whl

Download URL	lapx-0.11.1-cp314-cp314-win_amd64.whl
Size	655.7 kB
Tags	CPython 3.14 Windows x86-64
SHA-256 checksum How to use checksums	`9b2609f94b318b2c81bd005bfaaf47cd5b06122870e4e961b81f7718ee529ea8`
BLAKE2b-256 checksum How to use checksums	`97329bc61181495957d3a5d8a844af3c3e018f7b07e91f87a5289180a608e186`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-win_amd64.whl
SHA-256 checksum: 9b2609f94b318b2c81bd005bfaaf47cd5b06122870e4e961b81f7718ee529ea8 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-cp314-cp314-musllinux_1_2_x86_64.whl
Size	5.1 MB
Tags	CPython 3.14 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`4a9f452f2a59a2bf4c01e9318fd8014edc2cd698f77ca55171cdbc807b3038fc`
BLAKE2b-256 checksum How to use checksums	`5c2e63c1ea2563589a9cbcab100430589e92489d097afb68c141eb48171aa962`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-musllinux_1_2_x86_64.whl
SHA-256 checksum: 4a9f452f2a59a2bf4c01e9318fd8014edc2cd698f77ca55171cdbc807b3038fc Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-cp314-cp314-musllinux_1_2_armv7l.whl
Size	2.9 MB
Tags	CPython 3.14 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`dd8a024feb6ad6663b3c98190084ad389364379161bdb5385f5ec2066c8d27c3`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-musllinux_1_2_armv7l.whl
SHA-256 checksum: dd8a024feb6ad6663b3c98190084ad389364379161bdb5385f5ec2066c8d27c3 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-cp314-cp314-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.14 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`6fb67f7ce6517bc818361e969c65252739e8d4ada4da511ee4fafa34e0433037`
BLAKE2b-256 checksum How to use checksums	`feaf0dea85cb911426b3b99024fc69ae276c7faa1c0eefa1b50144270560e41e`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-musllinux_1_2_aarch64.whl
SHA-256 checksum: 6fb67f7ce6517bc818361e969c65252739e8d4ada4da511ee4fafa34e0433037 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-cp314-cp314-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.14 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`63a33a1a761a448ec626b409986f701c5d7e2c2695552f93dce4a228d53d9169`
BLAKE2b-256 checksum How to use checksums	`a45eebb269074eda3f5966f1d70e2c7e853e2ef9a91734925d99448dfd61f090`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-manylinux_2_31_armv7l.whl
SHA-256 checksum: 63a33a1a761a448ec626b409986f701c5d7e2c2695552f93dce4a228d53d9169 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-cp314-cp314-manylinux_2_28_x86_64.whl
Size	4.1 MB
Tags	CPython 3.14 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`ce4c5eadc607ec65aa3229a688899aede6e9edee5bae50e931ff7abe88773b73`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-manylinux_2_28_x86_64.whl
SHA-256 checksum: ce4c5eadc607ec65aa3229a688899aede6e9edee5bae50e931ff7abe88773b73 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-cp314-cp314-manylinux_2_28_aarch64.whl
Size	4.0 MB
Tags	CPython 3.14 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`595e78f822faad44a8f9f7aa0f11a5421c7b8f900c1864aac6243188e04a37c8`
BLAKE2b-256 checksum How to use checksums	`0a0073eca95380f83db2ac9928561aa941a38e98d6d3a5c304e6dc82b5107bff`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-manylinux_2_28_aarch64.whl
SHA-256 checksum: 595e78f822faad44a8f9f7aa0f11a5421c7b8f900c1864aac6243188e04a37c8 Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp314-cp314-macosx_11_0_arm64.whl
Size	897.9 kB
Tags	CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`b4d503e8e8a875291ef0fc3cdc3e1f9b0916652554e6288d1a81333873c4b26c`
BLAKE2b-256 checksum How to use checksums	`a6ece5b60f9b6b7a07e0550a5bf7749810eb36bfb3829af1b40e092f4a62ea6b`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-macosx_11_0_arm64.whl
SHA-256 checksum: b4d503e8e8a875291ef0fc3cdc3e1f9b0916652554e6288d1a81333873c4b26c Verifying attestations

Release files / lapx-0.11.1-cp314-cp314-macosx_10_15_x86_64.whl

Download URL	lapx-0.11.1-cp314-cp314-macosx_10_15_x86_64.whl
Size	927.5 kB
Tags	CPython 3.14 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`5668108c59e07e7307a3284fb29278fe1bab7d2fa103ff1aba4283e6402fc3fe`
BLAKE2b-256 checksum How to use checksums	`054d39a6cf8d0a4afa4f0fcae37aa76fc7e5bbc025bc1be63d546cfbdaf0f5fc`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp314-cp314-macosx_10_15_x86_64.whl
SHA-256 checksum: 5668108c59e07e7307a3284fb29278fe1bab7d2fa103ff1aba4283e6402fc3fe Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-win_arm64.whl

Download URL	lapx-0.11.1-cp313-cp313-win_arm64.whl
Size	807.9 kB
Tags	CPython 3.13 Windows ARM64
SHA-256 checksum How to use checksums	`e9fe01f9bf7acdc19f79419a3ec50182af864c394cd537261a6ede4d50e5ff6d`
BLAKE2b-256 checksum How to use checksums	`5c18a46cb2341850dca61de0ad8e7517057f7562da4c9d7dda120323de6c2e48`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-win_arm64.whl
SHA-256 checksum: e9fe01f9bf7acdc19f79419a3ec50182af864c394cd537261a6ede4d50e5ff6d Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-win_amd64.whl

Download URL	lapx-0.11.1-cp313-cp313-win_amd64.whl
Size	636.7 kB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`3f828566c986c02ce73ad60e465a9979f16eac8abab3296264e82a498072240a`
BLAKE2b-256 checksum How to use checksums	`be9655a04b774d158b1f8922e9f85c0c95fbcf84f73a5194ff2c636b3f50f5bb`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-win_amd64.whl
SHA-256 checksum: 3f828566c986c02ce73ad60e465a9979f16eac8abab3296264e82a498072240a Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-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	`f3aa8a03f96b6889f9aad681db5b0b4a12e69540748f74085396c552d30a7fe2`
BLAKE2b-256 checksum How to use checksums	`9f481672e0fa268ee7534a462138f3cbf94f5706a7c38502602974b3f3597ff8`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-musllinux_1_2_x86_64.whl
SHA-256 checksum: f3aa8a03f96b6889f9aad681db5b0b4a12e69540748f74085396c552d30a7fe2 Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-cp313-cp313-musllinux_1_2_armv7l.whl
Size	2.9 MB
Tags	CPython 3.13 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`93c728e5d8b1741960a557ac0bc9095f0f11fe7750b84d4a2e9adef8de614638`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-musllinux_1_2_armv7l.whl
SHA-256 checksum: 93c728e5d8b1741960a557ac0bc9095f0f11fe7750b84d4a2e9adef8de614638 Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-cp313-cp313-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.13 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`3db560034e617c11df6810ee9ee5c617cd53ee926533c2b414643a7ee6ac18ff`
BLAKE2b-256 checksum How to use checksums	`92fd93faa843ee231a2741cbca0a07c2c28e16c224411b47239a3ea527e0bbd1`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-musllinux_1_2_aarch64.whl
SHA-256 checksum: 3db560034e617c11df6810ee9ee5c617cd53ee926533c2b414643a7ee6ac18ff Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-cp313-cp313-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.13 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`149a68731c9efb5e517140fcab0591892f76af3e041a1f496a21ddb5c7baab2c`
BLAKE2b-256 checksum How to use checksums	`7b1cb61d4903c27d84a1abe5500737dbc3985667ef4895ce6c1fc0572debd642`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-manylinux_2_31_armv7l.whl
SHA-256 checksum: 149a68731c9efb5e517140fcab0591892f76af3e041a1f496a21ddb5c7baab2c Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-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	`e1120a06b71af65a5973a123b69ee8d5de25b1da2f83c8a445aaef8f1c3ce0cb`
BLAKE2b-256 checksum How to use checksums	`d492dc508cb0ee048589a89718bcc7802be829cc54b69bf599e319d86be29251`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-manylinux_2_28_x86_64.whl
SHA-256 checksum: e1120a06b71af65a5973a123b69ee8d5de25b1da2f83c8a445aaef8f1c3ce0cb Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-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	`27b3283c60bdac86fab053398f45d25dfe52d0697779012710f71ec160113820`
BLAKE2b-256 checksum How to use checksums	`96cd98710f267e7fe288b587a0649aa1100619cac96a1c5a4247de18ae1f0777`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-manylinux_2_28_aarch64.whl
SHA-256 checksum: 27b3283c60bdac86fab053398f45d25dfe52d0697779012710f71ec160113820 Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp313-cp313-macosx_11_0_arm64.whl
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SHA-256 checksum How to use checksums	`f62d926ca52d3661b5ace5f5a5567795b7c3f52e12981ddb55f28f518f6bc994`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-macosx_11_0_arm64.whl
SHA-256 checksum: f62d926ca52d3661b5ace5f5a5567795b7c3f52e12981ddb55f28f518f6bc994 Verifying attestations

Release files / lapx-0.11.1-cp313-cp313-macosx_10_13_x86_64.whl

Download URL	lapx-0.11.1-cp313-cp313-macosx_10_13_x86_64.whl
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Tags	CPython 3.13 macOS 10.13+ x86-64
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp313-cp313-macosx_10_13_x86_64.whl
SHA-256 checksum: b25778cd1ba6972077216552ed5212327068d339bd54ccb5c8aed665f633753c Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-win_arm64.whl

Download URL	lapx-0.11.1-cp312-cp312-win_arm64.whl
Size	809.3 kB
Tags	CPython 3.12 Windows ARM64
SHA-256 checksum How to use checksums	`4200da7fad622246503fe2008611d9bc8d0d3f1ce13470e880423d6bdfdd6c49`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-win_arm64.whl
SHA-256 checksum: 4200da7fad622246503fe2008611d9bc8d0d3f1ce13470e880423d6bdfdd6c49 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-win_amd64.whl

Download URL	lapx-0.11.1-cp312-cp312-win_amd64.whl
Size	639.1 kB
Tags	CPython 3.12 Windows x86-64
SHA-256 checksum How to use checksums	`fef1ce92e25dddb8fa4b21cf4699ddaab9dfff68ddb2c362b77a47e55b36b901`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-win_amd64.whl
SHA-256 checksum: fef1ce92e25dddb8fa4b21cf4699ddaab9dfff68ddb2c362b77a47e55b36b901 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-cp312-cp312-musllinux_1_2_x86_64.whl
Size	5.1 MB
Tags	CPython 3.12 Linux musl 1.2+ x86-64
SHA-256 checksum How to use checksums	`400c570998a5f6c0eb30f0b5f59dd9e7dcbfe9e068d9c590895c101412fdf99e`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-musllinux_1_2_x86_64.whl
SHA-256 checksum: 400c570998a5f6c0eb30f0b5f59dd9e7dcbfe9e068d9c590895c101412fdf99e Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-cp312-cp312-musllinux_1_2_armv7l.whl
Size	2.9 MB
Tags	CPython 3.12 Linux musl 1.2+ ARMv7l
SHA-256 checksum How to use checksums	`836734aa23b2d0afee84f87e75537bd37a9a2f4531d0d204081dd7c472e91f33`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-musllinux_1_2_armv7l.whl
SHA-256 checksum: 836734aa23b2d0afee84f87e75537bd37a9a2f4531d0d204081dd7c472e91f33 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-cp312-cp312-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.12 Linux musl 1.2+ ARM64
SHA-256 checksum How to use checksums	`ea23704b7d0169f849d67a28b225fe874dc166bdc9efbca7f9bad8b02384628f`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-musllinux_1_2_aarch64.whl
SHA-256 checksum: ea23704b7d0169f849d67a28b225fe874dc166bdc9efbca7f9bad8b02384628f Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-cp312-cp312-manylinux_2_31_armv7l.whl
Size	4.2 MB
Tags	CPython 3.12 Linux glibc 2.31+ ARMv7l
SHA-256 checksum How to use checksums	`d00c94614de7a60c05b429c2ea82d616ffb406a00990a01a7df734807a3a5217`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-manylinux_2_31_armv7l.whl
SHA-256 checksum: d00c94614de7a60c05b429c2ea82d616ffb406a00990a01a7df734807a3a5217 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-cp312-cp312-manylinux_2_28_x86_64.whl
Size	4.1 MB
Tags	CPython 3.12 Linux glibc 2.28+ x86-64
SHA-256 checksum How to use checksums	`5e4a71bd566e9813768f395a518f70148c2dc18cba15763cd5c9841be0dcb074`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-manylinux_2_28_x86_64.whl
SHA-256 checksum: 5e4a71bd566e9813768f395a518f70148c2dc18cba15763cd5c9841be0dcb074 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-cp312-cp312-manylinux_2_28_aarch64.whl
Size	4.0 MB
Tags	CPython 3.12 Linux glibc 2.28+ ARM64
SHA-256 checksum How to use checksums	`0e80150b431237d08117071d097731418ba1c66e93b98d394720b9cf4712d281`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-manylinux_2_28_aarch64.whl
SHA-256 checksum: 0e80150b431237d08117071d097731418ba1c66e93b98d394720b9cf4712d281 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp312-cp312-macosx_11_0_arm64.whl
Size	898.3 kB
Tags	CPython 3.12 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`4bed6fb833dced187a18087912e27e9ba60c06351a9552b0ea5ed00bfe072d53`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-macosx_11_0_arm64.whl
SHA-256 checksum: 4bed6fb833dced187a18087912e27e9ba60c06351a9552b0ea5ed00bfe072d53 Verifying attestations

Release files / lapx-0.11.1-cp312-cp312-macosx_10_13_x86_64.whl

Download URL	lapx-0.11.1-cp312-cp312-macosx_10_13_x86_64.whl
Size	928.3 kB
Tags	CPython 3.12 macOS 10.13+ x86-64
SHA-256 checksum How to use checksums	`f931debc8c894b304f0eb5bcbc455e4e2d79d2dfd5b5abdfb3ac3459f4db8019`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp312-cp312-macosx_10_13_x86_64.whl
SHA-256 checksum: f931debc8c894b304f0eb5bcbc455e4e2d79d2dfd5b5abdfb3ac3459f4db8019 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-win_arm64.whl

Download URL	lapx-0.11.1-cp311-cp311-win_arm64.whl
Size	810.8 kB
Tags	CPython 3.11 Windows ARM64
SHA-256 checksum How to use checksums	`417a937e8fde3fab99473d7112880e7b84461d136a2de964668a4a206f78b936`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-win_arm64.whl
SHA-256 checksum: 417a937e8fde3fab99473d7112880e7b84461d136a2de964668a4a206f78b936 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-win_amd64.whl

Download URL	lapx-0.11.1-cp311-cp311-win_amd64.whl
Size	639.3 kB
Tags	CPython 3.11 Windows x86-64
SHA-256 checksum How to use checksums	`71c982971a6253bff0bd1b9722e55829850c2983462723c5e9c212d30a447df8`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-win_amd64.whl
SHA-256 checksum: 71c982971a6253bff0bd1b9722e55829850c2983462723c5e9c212d30a447df8 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-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	`3f5ed4acc4c4ead228a2cb1dff138e39dd954e9e6cfcac1a1cb06f6e844fbed8`
BLAKE2b-256 checksum How to use checksums	`dd737e05536fdd06e26f792c33110e01f8002acdad84731fa8fd25f913e004e8`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-musllinux_1_2_x86_64.whl
SHA-256 checksum: 3f5ed4acc4c4ead228a2cb1dff138e39dd954e9e6cfcac1a1cb06f6e844fbed8 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-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	`a0b2b2dd08bd474f6f5a28dd0eb7c3b1b3d33af8e59c16e21868c4cde3d23edc`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-musllinux_1_2_armv7l.whl
SHA-256 checksum: a0b2b2dd08bd474f6f5a28dd0eb7c3b1b3d33af8e59c16e21868c4cde3d23edc Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-cp311-cp311-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.11 Linux musl 1.2+ ARM64
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-musllinux_1_2_aarch64.whl
SHA-256 checksum: 155580757046c126350b99efdf5b962d74e23c117f987ff369e4a0b5787a769a Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-cp311-cp311-manylinux_2_31_armv7l.whl
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SHA-256 checksum How to use checksums	`ba96c40f066318c23f8711f6c4a223b810a73eb795a2e65fb10f7d41671c7fd1`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-manylinux_2_31_armv7l.whl
SHA-256 checksum: ba96c40f066318c23f8711f6c4a223b810a73eb795a2e65fb10f7d41671c7fd1 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-cp311-cp311-manylinux_2_28_x86_64.whl
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-manylinux_2_28_x86_64.whl
SHA-256 checksum: 5d3e334d97754fb6b78b19d30220d868ae35f931e0d75edb7324eac3b28abff5 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-cp311-cp311-manylinux_2_28_aarch64.whl
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Tags	CPython 3.11 Linux glibc 2.28+ ARM64
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-manylinux_2_28_aarch64.whl
SHA-256 checksum: 906e4ff9bd3401eb62020af515dc946c0b5503e2d4836ac81575b781bcdacfd5 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp311-cp311-macosx_11_0_arm64.whl
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SHA-256 checksum How to use checksums	`adc618a1edac05ddacf0dc2636c8533d5e253495b723cd08f5b2f622c4f81d82`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-macosx_11_0_arm64.whl
SHA-256 checksum: adc618a1edac05ddacf0dc2636c8533d5e253495b723cd08f5b2f622c4f81d82 Verifying attestations

Release files / lapx-0.11.1-cp311-cp311-macosx_10_12_x86_64.whl

Download URL	lapx-0.11.1-cp311-cp311-macosx_10_12_x86_64.whl
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Tags	CPython 3.11 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`21c0848b89c15fe2b5f5a808fb059f82f27dbc83d6740fb774d5c617a6104d98`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp311-cp311-macosx_10_12_x86_64.whl
SHA-256 checksum: 21c0848b89c15fe2b5f5a808fb059f82f27dbc83d6740fb774d5c617a6104d98 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-win_arm64.whl

Download URL	lapx-0.11.1-cp310-cp310-win_arm64.whl
Size	811.1 kB
Tags	CPython 3.10 Windows ARM64
SHA-256 checksum How to use checksums	`a063dd916db98b7a394437a7f597719e992a364b13692505a560c3735d1021be`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-win_arm64.whl
SHA-256 checksum: a063dd916db98b7a394437a7f597719e992a364b13692505a560c3735d1021be Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-win_amd64.whl

Download URL	lapx-0.11.1-cp310-cp310-win_amd64.whl
Size	639.9 kB
Tags	CPython 3.10 Windows x86-64
SHA-256 checksum How to use checksums	`7e07fbbe2781ec39606532abfabba8f2b136ba2020441e86378cfedfa7dd0432`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-win_amd64.whl
SHA-256 checksum: 7e07fbbe2781ec39606532abfabba8f2b136ba2020441e86378cfedfa7dd0432 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-cp310-cp310-musllinux_1_2_x86_64.whl
Size	5.0 MB
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SHA-256 checksum How to use checksums	`ff4820f0c3fd6a0ab176867277260458a23fd1217f1d66eadb717f45466122f0`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-musllinux_1_2_x86_64.whl
SHA-256 checksum: ff4820f0c3fd6a0ab176867277260458a23fd1217f1d66eadb717f45466122f0 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-cp310-cp310-musllinux_1_2_armv7l.whl
Size	2.8 MB
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SHA-256 checksum How to use checksums	`3375cc37f5ef5f6f7061629cb10d71a83f6f532aa88068c8c51fd65ff5273d45`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-musllinux_1_2_armv7l.whl
SHA-256 checksum: 3375cc37f5ef5f6f7061629cb10d71a83f6f532aa88068c8c51fd65ff5273d45 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-cp310-cp310-musllinux_1_2_aarch64.whl
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Tags	CPython 3.10 Linux musl 1.2+ ARM64
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-musllinux_1_2_aarch64.whl
SHA-256 checksum: 7f048a09f1d213acf32ce40715aa02e3c95ad68092bbc5aecee5652a7afc0591 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-cp310-cp310-manylinux_2_31_armv7l.whl
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-manylinux_2_31_armv7l.whl
SHA-256 checksum: 6699870fde1b1dda57b1d4536f3aed98dbdac721dc1143ea68bc3bcb88760758 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-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	`2c9c797edce41e94c45f366274533e3ece2820ac59b273f7205cbb998e542dda`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-manylinux_2_28_x86_64.whl
SHA-256 checksum: 2c9c797edce41e94c45f366274533e3ece2820ac59b273f7205cbb998e542dda Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-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	`a6b58bb7f16c7963cea2e20d222a9bcf735524fc7a81da2ea30fb2104f9cf37b`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-manylinux_2_28_aarch64.whl
SHA-256 checksum: a6b58bb7f16c7963cea2e20d222a9bcf735524fc7a81da2ea30fb2104f9cf37b Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp310-cp310-macosx_11_0_arm64.whl
Size	897.2 kB
Tags	CPython 3.10 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`d78077c71847567b6fea6e579754824b3f4bd6cf1cb982d3652eaf50b0680d16`
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Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-macosx_11_0_arm64.whl
SHA-256 checksum: d78077c71847567b6fea6e579754824b3f4bd6cf1cb982d3652eaf50b0680d16 Verifying attestations

Release files / lapx-0.11.1-cp310-cp310-macosx_10_12_x86_64.whl

Download URL	lapx-0.11.1-cp310-cp310-macosx_10_12_x86_64.whl
Size	929.9 kB
Tags	CPython 3.10 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`177e4fc11586653760fe5a71ad62b830a9ebfa50b249e7dc815846b35e4c46c8`
BLAKE2b-256 checksum How to use checksums	`7e6599d2ab087da194b4eb93ac1bbfeb1e502cc087b224c644dea734df345416`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp310-cp310-macosx_10_12_x86_64.whl
SHA-256 checksum: 177e4fc11586653760fe5a71ad62b830a9ebfa50b249e7dc815846b35e4c46c8 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-win_arm64.whl

Download URL	lapx-0.11.1-cp39-cp39-win_arm64.whl
Size	812.1 kB
Tags	CPython 3.9 Windows ARM64
SHA-256 checksum How to use checksums	`1faa18ea79ecc331a4c5433adacb9bfd7c2d5325b218be5ce05bb885f12ae0e5`
BLAKE2b-256 checksum How to use checksums	`6e7cccde4d6cce501ae16d3a4a428ddbfaa1ae5e227341a2c550fec74ae59648`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-win_arm64.whl
SHA-256 checksum: 1faa18ea79ecc331a4c5433adacb9bfd7c2d5325b218be5ce05bb885f12ae0e5 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-win_amd64.whl

Download URL	lapx-0.11.1-cp39-cp39-win_amd64.whl
Size	641.7 kB
Tags	CPython 3.9 Windows x86-64
SHA-256 checksum How to use checksums	`4b6f2647ea8feb4e7aacae804798a6724a19bab1e8a15e4ba8393f51c4ce55fa`
BLAKE2b-256 checksum How to use checksums	`ff079da48e5834d207be0e136010cf409df7fd81cedd1232a7d62edb30c694f9`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-win_amd64.whl
SHA-256 checksum: 4b6f2647ea8feb4e7aacae804798a6724a19bab1e8a15e4ba8393f51c4ce55fa Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-musllinux_1_2_x86_64.whl

Download URL	lapx-0.11.1-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	`fb138252bba12da9be4b778f21c7fa6d6d148c2fee808de603de633bf2c17861`
BLAKE2b-256 checksum How to use checksums	`8fa76c036e918e5fc04f7354e06880e71446545364af32bbe6cec22287c3fa57`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-musllinux_1_2_x86_64.whl
SHA-256 checksum: fb138252bba12da9be4b778f21c7fa6d6d148c2fee808de603de633bf2c17861 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.1-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	`766fef04b457af42b03e4329ace5448bf1fcdf39015e32519ffc84020d783eb2`
BLAKE2b-256 checksum How to use checksums	`bef93f23711d05ffe9e820fd2f127bc0aaa454db62457f32d2512b5c1041577d`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-musllinux_1_2_armv7l.whl
SHA-256 checksum: 766fef04b457af42b03e4329ace5448bf1fcdf39015e32519ffc84020d783eb2 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.1-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	`11cb201ab9920f8e7cd28621f1eb76f671d68f4ef060c3ed95e31210cc140a1a`
BLAKE2b-256 checksum How to use checksums	`b26b202203afd5946fdd7f365f19da03cce836dd2b37263d24fcd4523428e560`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-musllinux_1_2_aarch64.whl
SHA-256 checksum: 11cb201ab9920f8e7cd28621f1eb76f671d68f4ef060c3ed95e31210cc140a1a Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-manylinux_2_31_armv7l.whl

Download URL	lapx-0.11.1-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	`ace5a2cc623ec1a9151c3dd35c4f9bc2806bd8d2e4416ba7937f09f613c7618e`
BLAKE2b-256 checksum How to use checksums	`8699dc36aea65fbbf5e8d1c0a4cd0c8544a999d10db36e488ce8d1b236912e62`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-manylinux_2_31_armv7l.whl
SHA-256 checksum: ace5a2cc623ec1a9151c3dd35c4f9bc2806bd8d2e4416ba7937f09f613c7618e Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.1-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	`f556f2b4833884921e3edf875a24a6e6d7f9e49a3e0aa8f6cbe9f62ae79fe626`
BLAKE2b-256 checksum How to use checksums	`84c1f20f2152b3d98b0d843c62033dc8fe1100e052d2a0cfa28b95e1a23dedec`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-manylinux_2_28_x86_64.whl
SHA-256 checksum: f556f2b4833884921e3edf875a24a6e6d7f9e49a3e0aa8f6cbe9f62ae79fe626 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-manylinux_2_28_aarch64.whl

Download URL	lapx-0.11.1-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	`6f908dd39ce5859e6a9a12a504f5e359d0c1ac2b351bea5b947c5347253b2f23`
BLAKE2b-256 checksum How to use checksums	`721aeedff6f77274301f3a1b6057d93c789c453093730ac1597006bceeb4d201`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-manylinux_2_28_aarch64.whl
SHA-256 checksum: 6f908dd39ce5859e6a9a12a504f5e359d0c1ac2b351bea5b947c5347253b2f23 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-macosx_11_0_arm64.whl

Download URL	lapx-0.11.1-cp39-cp39-macosx_11_0_arm64.whl
Size	898.3 kB
Tags	CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`9d0d99d419147d41fd99a95ac1c4ce63b048a0de5e99e1cb627cae30c7b31fa3`
BLAKE2b-256 checksum How to use checksums	`5ac8a143ee8b86abf74483d049264cf34b899ccc6d54697bd78b8e4f5529a5e9`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-macosx_11_0_arm64.whl
SHA-256 checksum: 9d0d99d419147d41fd99a95ac1c4ce63b048a0de5e99e1cb627cae30c7b31fa3 Verifying attestations

Release files / lapx-0.11.1-cp39-cp39-macosx_10_12_x86_64.whl

Download URL	lapx-0.11.1-cp39-cp39-macosx_10_12_x86_64.whl
Size	931.4 kB
Tags	CPython 3.9 macOS 10.12+ x86-64
SHA-256 checksum How to use checksums	`9bdcccb94dcd8c90524d4ce2342a81b8ea8e703a3c421693d91d5b91be5e4121`
BLAKE2b-256 checksum How to use checksums	`c21c11132d9c69dae87b9b5cddcd919bb641a918486e1c4cab6eb111bf2ef20a`
Upload date	Oct 23, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.16`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/rathaROG/lapx
Publishing commit: github.com/rathaROG/lapx/tree/17c132e2f9107b6dda78dc748ed7ce30d7d4519c

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/17c132e2f9107b6dda78dc748ed7ce30d7d4519c/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39944934607/attempts/1

Artifact

Subject: lapx-0.11.1-cp39-cp39-macosx_10_12_x86_64.whl
SHA-256 checksum: 9bdcccb94dcd8c90524d4ce2342a81b8ea8e703a3c421693d91d5b91be5e4121 Verifying attestations