🆕 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 0.11.0

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 0.11.0
File	Size	Uploaded	Provenance
lapx-0.11.0.tar.gz	331.0 kB	Oct 23, 2026	With provenance	Details

Built distributions (wheels)

Table of built distributions (wheels) for lapx 0.11.0
File	Interpreter	ABI	Platform	Reset
lapx-0.11.0-cp315-cp315-win_arm64.whl 835.5 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Windows ARM64	Details
lapx-0.11.0-cp315-cp315-win_amd64.whl 655.1 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-cp315-cp315-macosx_11_0_arm64.whl 898.1 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 11.0+ ARM64	Details
lapx-0.11.0-cp315-cp315-macosx_10_15_x86_64.whl 927.6 kB Oct 23, 2026 With provenance	CPython 3.15	CPython 3.15	macOS 10.15+ x86-64	Details
lapx-0.11.0-cp314-cp314-win_arm64.whl 835.8 kB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Windows ARM64	Details
lapx-0.11.0-cp314-cp314-win_amd64.whl 655.7 kB Oct 23, 2026 With provenance	CPython 3.14	CPython 3.14	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-cp313-cp313-win_arm64.whl 807.9 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Windows ARM64	Details
lapx-0.11.0-cp313-cp313-win_amd64.whl 636.7 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-cp313-cp313-macosx_11_0_arm64.whl 896.5 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 11.0+ ARM64	Details
lapx-0.11.0-cp313-cp313-macosx_10_13_x86_64.whl 926.7 kB Oct 23, 2026 With provenance	CPython 3.13	CPython 3.13	macOS 10.13+ x86-64	Details
lapx-0.11.0-cp312-cp312-win_arm64.whl 809.4 kB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Windows ARM64	Details
lapx-0.11.0-cp312-cp312-win_amd64.whl 639.0 kB Oct 23, 2026 With provenance	CPython 3.12	CPython 3.12	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-cp311-cp311-win_arm64.whl 810.7 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Windows ARM64	Details
lapx-0.11.0-cp311-cp311-win_amd64.whl 639.2 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-cp311-cp311-macosx_11_0_arm64.whl 895.9 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 11.0+ ARM64	Details
lapx-0.11.0-cp311-cp311-macosx_10_12_x86_64.whl 926.3 kB Oct 23, 2026 With provenance	CPython 3.11	CPython 3.11	macOS 10.12+ x86-64	Details
lapx-0.11.0-cp310-cp310-win_arm64.whl 811.1 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Windows ARM64	Details
lapx-0.11.0-cp310-cp310-win_amd64.whl 639.9 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-cp310-cp310-macosx_11_0_arm64.whl 897.3 kB Oct 23, 2026 With provenance	CPython 3.10	CPython 3.10	macOS 11.0+ ARM64	Details
lapx-0.11.0-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-0.11.0-cp39-cp39-win_arm64.whl 812.0 kB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Windows ARM64	Details
lapx-0.11.0-cp39-cp39-win_amd64.whl 641.7 kB Oct 23, 2026 With provenance	CPython 3.9	CPython 3.9	Windows x86-64	Details
lapx-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0-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-0.11.0.tar.gz

Download URL	lapx-0.11.0.tar.gz
Size	331.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`b13dc6613a86ad25a76372d20cda490abd9fbd4f112c7086eaf397a4b488e1b1`
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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

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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0.tar.gz
SHA-256 checksum: b13dc6613a86ad25a76372d20cda490abd9fbd4f112c7086eaf397a4b488e1b1 Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-win_arm64.whl
Size	835.5 kB
Tags	CPython 3.15 Windows 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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-win_arm64.whl
SHA-256 checksum: b47d7f877e8800fdcf43420db9531d14805571cc13dedb7f16594fb4d294b64d Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-win_amd64.whl
Size	655.1 kB
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-win_amd64.whl
SHA-256 checksum: 434664ecd42f60d3d2bbc48ee07f4df2c0250fd81cf6899e4bac7e97af66288d Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-musllinux_1_2_x86_64.whl
SHA-256 checksum: 6a2f202522df53bb43d9c9087204893278072f85b10574709b2a4e48da954b56 Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-musllinux_1_2_armv7l.whl
Size	2.9 MB
Tags	CPython 3.15 Linux musl 1.2+ ARMv7l
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-musllinux_1_2_armv7l.whl
SHA-256 checksum: 491c46844fb7df876179b8ef20ea920660574e4ffc6ad9272f4d6eb3d6f36045 Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-musllinux_1_2_aarch64.whl
Size	4.9 MB
Tags	CPython 3.15 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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-musllinux_1_2_aarch64.whl
SHA-256 checksum: 04a25a3b436745efb4cef863ad521f86dc62684f1b35cf611ac9ab5ead8573ae Verifying attestations

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

Download URL	lapx-0.11.0-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	`c28d291d47269c46f411b4e17fec0be9e0116fb8aa3fc2f2590f363876518763`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-manylinux_2_31_armv7l.whl
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Release files / lapx-0.11.0-cp315-cp315-manylinux_2_28_x86_64.whl

Download URL	lapx-0.11.0-cp315-cp315-manylinux_2_28_x86_64.whl
Size	4.1 MB
Tags	CPython 3.15 Linux glibc 2.28+ 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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-manylinux_2_28_x86_64.whl
SHA-256 checksum: a004d807fdd632618bb5b9c835fb842ed4200fbc44d8e3af6cbb645ec72baec3 Verifying attestations

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

Download URL	lapx-0.11.0-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	`d9d938e9c3926b6dea32c2e512267262aff396f0d6324ed60b35f0902cecc9e3`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-manylinux_2_28_aarch64.whl
SHA-256 checksum: d9d938e9c3926b6dea32c2e512267262aff396f0d6324ed60b35f0902cecc9e3 Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-macosx_11_0_arm64.whl
Size	898.1 kB
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-macosx_11_0_arm64.whl
SHA-256 checksum: 8b2b5e99fdfb8732dce8c61f7ff5d7c8fad780ca233bf43dcedc13bbd71f8739 Verifying attestations

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

Download URL	lapx-0.11.0-cp315-cp315-macosx_10_15_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp315-cp315-macosx_10_15_x86_64.whl
SHA-256 checksum: 510e578297d165a1c7c9e8d46312c2f4e8de58bbffc74653704084b15bc2e8d6 Verifying attestations

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

Download URL	lapx-0.11.0-cp314-cp314-win_arm64.whl
Size	835.8 kB
Tags	CPython 3.14 Windows 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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-win_arm64.whl
SHA-256 checksum: 9700e5c8107161b9514ed7aa23ce5646cbb5dcee315ef711712dd3a164483547 Verifying attestations

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

Download URL	lapx-0.11.0-cp314-cp314-win_amd64.whl
Size	655.7 kB
Tags	CPython 3.14 Windows 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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-win_amd64.whl
SHA-256 checksum: 270f30d69fddeabd36b966203ad98702e62f8080971fa2935006ca7a49d4feb3 Verifying attestations

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

Download URL	lapx-0.11.0-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	`0911307a59bab92cdfb762e724631c2f1ee4bd165827057bd79a3a5892495ff0`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-musllinux_1_2_x86_64.whl
SHA-256 checksum: 0911307a59bab92cdfb762e724631c2f1ee4bd165827057bd79a3a5892495ff0 Verifying attestations

Release files / lapx-0.11.0-cp314-cp314-musllinux_1_2_armv7l.whl

Download URL	lapx-0.11.0-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	`dba0adec560a4ef0a5ec88c7909093b043dff8135379febf2e527a0906be1f08`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-musllinux_1_2_armv7l.whl
SHA-256 checksum: dba0adec560a4ef0a5ec88c7909093b043dff8135379febf2e527a0906be1f08 Verifying attestations

Release files / lapx-0.11.0-cp314-cp314-musllinux_1_2_aarch64.whl

Download URL	lapx-0.11.0-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	`2a1e4e2ed005ede4c7290af9d88938e9f451690653691d44cdba6792bc7bf43a`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-musllinux_1_2_aarch64.whl
SHA-256 checksum: 2a1e4e2ed005ede4c7290af9d88938e9f451690653691d44cdba6792bc7bf43a Verifying attestations

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

Download URL	lapx-0.11.0-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	`1fd30e674b794c9c21ffcb2b3b01e11f7034d9d704e6b560d12ca78c5bbb4e53`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-manylinux_2_31_armv7l.whl
SHA-256 checksum: 1fd30e674b794c9c21ffcb2b3b01e11f7034d9d704e6b560d12ca78c5bbb4e53 Verifying attestations

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

Download URL	lapx-0.11.0-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	`4e8a303bceb1f1701e8dc0146049abd4de72e91a6dbed05ebff655890a16e96f`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-manylinux_2_28_x86_64.whl
SHA-256 checksum: 4e8a303bceb1f1701e8dc0146049abd4de72e91a6dbed05ebff655890a16e96f Verifying attestations

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

Download URL	lapx-0.11.0-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	`f3cff440351ae79d02ebb7a3103c9543dfa8d5514e1e78355a054353d31cf4de`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-manylinux_2_28_aarch64.whl
SHA-256 checksum: f3cff440351ae79d02ebb7a3103c9543dfa8d5514e1e78355a054353d31cf4de Verifying attestations

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

Download URL	lapx-0.11.0-cp314-cp314-macosx_11_0_arm64.whl
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Tags	CPython 3.14 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`8472a3bcb5066f728e6b942e2c12828b1decd1e5f2bdec00c76d4e4b1f2985df`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-macosx_11_0_arm64.whl
SHA-256 checksum: 8472a3bcb5066f728e6b942e2c12828b1decd1e5f2bdec00c76d4e4b1f2985df Verifying attestations

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

Download URL	lapx-0.11.0-cp314-cp314-macosx_10_15_x86_64.whl
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Tags	CPython 3.14 macOS 10.15+ x86-64
SHA-256 checksum How to use checksums	`fcdda8eab48d4bbb387e827bac00a7cf9b9c09af26ff15e703e04df71505f757`
BLAKE2b-256 checksum How to use checksums	`50ef413c8a57ee541476968dc78b1d4c3cf82fea48780d7194a2c620e919a5b3`
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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp314-cp314-macosx_10_15_x86_64.whl
SHA-256 checksum: fcdda8eab48d4bbb387e827bac00a7cf9b9c09af26ff15e703e04df71505f757 Verifying attestations

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

Download URL	lapx-0.11.0-cp313-cp313-win_arm64.whl
Size	807.9 kB
Tags	CPython 3.13 Windows ARM64
SHA-256 checksum How to use checksums	`d090824777fd53bbe9977673e838ff66f6de24596115e7d41ff7644401f628d8`
BLAKE2b-256 checksum How to use checksums	`9de86766dd0c6152ed53198cf1e048cfd9367552ec2312f61736d1e3bf9aebf7`
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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-win_arm64.whl
SHA-256 checksum: d090824777fd53bbe9977673e838ff66f6de24596115e7d41ff7644401f628d8 Verifying attestations

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

Download URL	lapx-0.11.0-cp313-cp313-win_amd64.whl
Size	636.7 kB
Tags	CPython 3.13 Windows x86-64
SHA-256 checksum How to use checksums	`105b1323053e72459380b2e566b566fbd34167c5c4767119be90f88e6bc9a89a`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-win_amd64.whl
SHA-256 checksum: 105b1323053e72459380b2e566b566fbd34167c5c4767119be90f88e6bc9a89a Verifying attestations

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

Download URL	lapx-0.11.0-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	`fed4f92e9329c7dbea081b742181d9b2431160a9c9555d70e1cb54f97e6a6bfa`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-musllinux_1_2_x86_64.whl
SHA-256 checksum: fed4f92e9329c7dbea081b742181d9b2431160a9c9555d70e1cb54f97e6a6bfa Verifying attestations

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

Download URL	lapx-0.11.0-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	`e0ca6b184988fc7925a555c6f37c844bc046dad4c6378af62daa294f8c04b839`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-musllinux_1_2_armv7l.whl
SHA-256 checksum: e0ca6b184988fc7925a555c6f37c844bc046dad4c6378af62daa294f8c04b839 Verifying attestations

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

Download URL	lapx-0.11.0-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	`21d19eaeb979ee4f5dd75a0919d472833593adf72e7444053b7ecdaf24504b75`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-musllinux_1_2_aarch64.whl
SHA-256 checksum: 21d19eaeb979ee4f5dd75a0919d472833593adf72e7444053b7ecdaf24504b75 Verifying attestations

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

Download URL	lapx-0.11.0-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	`a4abe2d9ad0f826f194736335f6da5e6230419ac824648313d012ee41a5ec76b`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-manylinux_2_31_armv7l.whl
SHA-256 checksum: a4abe2d9ad0f826f194736335f6da5e6230419ac824648313d012ee41a5ec76b Verifying attestations

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

Download URL	lapx-0.11.0-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	`68fa3be3ac903cff6d361157acd8537d63fbc33c2357510f0ffbf0bb1372b3f8`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp313-cp313-manylinux_2_28_x86_64.whl
SHA-256 checksum: 68fa3be3ac903cff6d361157acd8537d63fbc33c2357510f0ffbf0bb1372b3f8 Verifying attestations

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

Download URL	lapx-0.11.0-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	`81351052abbae63d4bffeed02f97b0342c2eea44da03125c8ce74efb6c59e7e5`
BLAKE2b-256 checksum How to use checksums	`ae7a8a0c8c4fbd6906a7e00279b62e83be3ddde907cf28c8e01be1e25ad9c7fd`
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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp313-cp313-macosx_11_0_arm64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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SHA-256 checksum: 3f9e462d756393e70f5fd42e6140876ffe98a8d55e454e751029a37ce2d2f3a5 Verifying attestations

Release files / lapx-0.11.0-cp313-cp313-macosx_10_13_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp312-cp312-win_arm64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp312-cp312-win_amd64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp312-cp312-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp312-cp312-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp312-cp312-musllinux_1_2_aarch64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp312-cp312-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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp312-cp312-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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp312-cp312-manylinux_2_28_aarch64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp312-cp312-macosx_11_0_arm64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp312-cp312-macosx_10_13_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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SHA-256 checksum: 99dcea6f42023b2af15483bd80eeb6259bfee5de4880b95b4a518b08d9798601 Verifying attestations

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

Download URL	lapx-0.11.0-cp311-cp311-win_arm64.whl
Size	810.7 kB
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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

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Size	639.2 kB
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp311-cp311-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp311-cp311-musllinux_1_2_x86_64.whl
SHA-256 checksum: c7532745d71852b4d0a79c792cc401bf2bb5509109df298dae5076ec299658ea Verifying attestations

Release files / lapx-0.11.0-cp311-cp311-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp311-cp311-musllinux_1_2_aarch64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp311-cp311-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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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

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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp311-cp311-macosx_11_0_arm64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp311-cp311-macosx_10_12_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp310-cp310-win_arm64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-cp310-cp310-win_amd64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp310-cp310-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp310-cp310-musllinux_1_2_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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Artifact

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Release files / lapx-0.11.0-cp310-cp310-musllinux_1_2_aarch64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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Release files / lapx-0.11.0-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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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SHA-256 checksum: 4357d9cbdc242938073b37883afaa38b43956fea010504f1b1701ad5bb87a03f Verifying attestations

Release files / lapx-0.11.0-cp310-cp310-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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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SHA-256 checksum: 0f1ae47e4d9dc26c773e3381c029ed877bb5a344d61d425b18d15c0db6d36862 Verifying attestations

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

Download URL	lapx-0.11.0-cp310-cp310-manylinux_2_28_aarch64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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SHA-256 checksum: 456345aaf9fdb14c388c625c84048a0fc29d122974a77157bf0a33d6c48e0a53 Verifying attestations

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

Download URL	lapx-0.11.0-cp310-cp310-macosx_11_0_arm64.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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

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Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

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SHA-256 checksum: a8bf66a0a7b3aaae82723e5cdcc4cb952ef8b24fe81dc289b39ac6ceca334551 Verifying attestations

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

Download URL	lapx-0.11.0-cp310-cp310-macosx_10_12_x86_64.whl
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SHA-256 checksum How to use checksums	`b80bc0872d6d444a107dbe8f47524d588514b10fb17e8a4e6d6252a6e2cb0c21`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp310-cp310-macosx_10_12_x86_64.whl
SHA-256 checksum: b80bc0872d6d444a107dbe8f47524d588514b10fb17e8a4e6d6252a6e2cb0c21 Verifying attestations

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

Download URL	lapx-0.11.0-cp39-cp39-win_arm64.whl
Size	812.0 kB
Tags	CPython 3.9 Windows ARM64
SHA-256 checksum How to use checksums	`692b09bdc461461e3a2a59b1977f016b73112f202d96b92c0a84dfbdfc1202f0`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-win_arm64.whl
SHA-256 checksum: 692b09bdc461461e3a2a59b1977f016b73112f202d96b92c0a84dfbdfc1202f0 Verifying attestations

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

Download URL	lapx-0.11.0-cp39-cp39-win_amd64.whl
Size	641.7 kB
Tags	CPython 3.9 Windows x86-64
SHA-256 checksum How to use checksums	`2ae6b36084e844e31c652481f9307a15c892cce9992a8ce6166b397a9c335959`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-win_amd64.whl
SHA-256 checksum: 2ae6b36084e844e31c652481f9307a15c892cce9992a8ce6166b397a9c335959 Verifying attestations

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

Download URL	lapx-0.11.0-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	`dfb2bb6726c2102a64fd749e003fda6f465d0ce135b2bae0b8f1d3f6409618ca`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-musllinux_1_2_x86_64.whl
SHA-256 checksum: dfb2bb6726c2102a64fd749e003fda6f465d0ce135b2bae0b8f1d3f6409618ca Verifying attestations

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

Download URL	lapx-0.11.0-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	`255855b09f9d3ac554e44753670b1da6f9f010197f68c5f84880db709fea72e2`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-musllinux_1_2_armv7l.whl
SHA-256 checksum: 255855b09f9d3ac554e44753670b1da6f9f010197f68c5f84880db709fea72e2 Verifying attestations

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

Download URL	lapx-0.11.0-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	`b4d71bcc220709e434a3d250fba6ca8e98155ff6124bbbc64a7b9c5738232cbe`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-musllinux_1_2_aarch64.whl
SHA-256 checksum: b4d71bcc220709e434a3d250fba6ca8e98155ff6124bbbc64a7b9c5738232cbe Verifying attestations

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

Download URL	lapx-0.11.0-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	`cde1115f5cfdf2179700ef1065b09b95b0e71e1ebb442c741c393159cdd0e21d`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-manylinux_2_31_armv7l.whl
SHA-256 checksum: cde1115f5cfdf2179700ef1065b09b95b0e71e1ebb442c741c393159cdd0e21d Verifying attestations

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

Download URL	lapx-0.11.0-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	`ce300d60487903eb3fce094a68e272dc4b97561b54d5bec57bf763d78a26ff5d`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-manylinux_2_28_x86_64.whl
SHA-256 checksum: ce300d60487903eb3fce094a68e272dc4b97561b54d5bec57bf763d78a26ff5d Verifying attestations

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

Download URL	lapx-0.11.0-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	`55aa9a6b1e2184def654e0116d9dd9388e69c06505b81ac3732f102b5d11e50e`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-manylinux_2_28_aarch64.whl
SHA-256 checksum: 55aa9a6b1e2184def654e0116d9dd9388e69c06505b81ac3732f102b5d11e50e Verifying attestations

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

Download URL	lapx-0.11.0-cp39-cp39-macosx_11_0_arm64.whl
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Tags	CPython 3.9 macOS 11.0+ ARM64
SHA-256 checksum How to use checksums	`364309a423edfca3a6f39e238e0e5b70219e5fdfd81be03c09e94a51071eb8ed`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-macosx_11_0_arm64.whl
SHA-256 checksum: 364309a423edfca3a6f39e238e0e5b70219e5fdfd81be03c09e94a51071eb8ed Verifying attestations

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

Download URL	lapx-0.11.0-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	`a9aa5e47f03dc09bdf45df8e433bc6ea5bbc005dbab62a0539e98f075759b232`
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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/6135d7268667d52b2abdbd66d0542cdeb098d53b

Workflow

Publishing configuration: github.com/rathaROG/lapx/blob/6135d7268667d52b2abdbd66d0542cdeb098d53b/.github/workflows/publish.yaml
Publishing logs: github.com/rathaROG/lapx/actions/runs/39906030528/attempts/1

Artifact

Subject: lapx-0.11.0-cp39-cp39-macosx_10_12_x86_64.whl
SHA-256 checksum: a9aa5e47f03dc09bdf45df8e433bc6ea5bbc005dbab62a0539e98f075759b232 Verifying attestations