drvarma
Exact maximum-likelihood estimation, forecasting and diagnostics of multivariate VARMA (vector ARMA) models — in pure Python, with an optional compiled C engine for speed.
import numpy as np
from drvarma import Model, datasets
series = datasets.simulate_varma(phi=[np.diag([0.5, 0.4, 0.3])], sigma=np.eye(3),
n=300, mu=[100., 50., 75.], seed=1,
names=["A", "B", "C"])
m = Model(series, p=2, q=0, include_mean=True).fit()
print(m.phi, m.sigma, m.loglik)
levels, lo, hi = m.forecast(12, bands=True) # + 95% bands
print(m.diagnostics()) # Hosking Q, Jarque-Bera
drvarma fits a stationary Gaussian VARMA(p, q),
Φ(B)(wₜ − μ) = Θ(B) aₜ, aₜ ~ N(0, Σ), by exact maximum likelihood (no
conditional/back-forecasting approximation), and gives forecasts (+ error bands),
impulse responses, variance decompositions, residual diagnostics and volatility.
What this provides. drvarma is a pure-Python implementation of Mauricio's exact-likelihood algorithm for multivariate VARMA (1995 JASA / 1997 AS 311): an innovations-form factorisation that evaluates the exact Gaussian likelihood directly on the VARMA form, without a state-space / Kalman filter, maximised by a faithful factored-BFGS quasi-Newton. Exact ML for VARMA is also available in Python through state-space methods (e.g. statsmodels' Kalman-filter
VARMAX); what drvarma adds is a faithful port of this specific, non-Kalman algorithm — which, as far as we know, is not otherwise available in Python — together with the surrounding forecasting/IRF/FEVD/diagnostics toolkit. It runs with no compiled code; the optional C engine is only an accelerator.
Install
pip install drvarma # pure-Python (numpy + scipy)
Optional extras: drvarma[plots] (matplotlib + pyfug charts),
drvarma[forecast-report] (HTML forecast reports), drvarma[c-engine] (build the
CFFI C engine — needs GSL dev headers, ~10–100× faster but optional).
Features
- Exact-ML estimation of stationary VARMA(p, q) for general dimension
m, with mean, diagonal AR/MA/covariance restrictions, and optional Hannan–Rissanen two-step start. - Forecasting in original units: level, period and annual variation, each with standard errors and 95 % bands; plus fixed-parameter recursive (out-of-sample) forecasting.
- Structural analysis: orthogonalised impulse responses, accumulated responses, long-run gain, and the forecast-error variance decomposition.
- Diagnostics: Hosking multivariate portmanteau, multivariate Jarque–Bera, per-series ACF/PACF and two-sided cross-correlation (CCF).
- Volatility: exponential-weight and moving-window residual covariance.
- Transforms: Box-Cox + regular/seasonal differencing and harmonic deseasonalisation (with re-seasonalised forecasts).
- I/O & reports:
.inpreader/writer, C-format.out/.forecast/.recursivetext reports, an HTML forecast report per series, and matplotlib charts.
Everything runs with no compiled code. The optional CFFI engine wraps the
validated drvarma C core and is bit-compatible with the
pure-Python path on well-conditioned problems — an accelerator only. The
numerical methods are tabulated below; see
docs/DEVELOPER_GUIDE.md for the complexity discussion
and a pure-Python vs hybrid vs C performance study.
Command line
The ladder (0.2): fue's models as input
drvarma ES.pre FR.pre DE.pre 0 0 -diagcov -forecast 24 -estwin 216 -o diag # the univariates
drvarma ES.pre FR.pre DE.pre 1 0 -forecast 24 -estwin 216 -o var1 # + cross dynamics
drvarma -split IPC3.inp -mean -ar 1 -dir specs/ # the old multivariate .inp -> fue .inp
Each series keeps its fue model (Box-Cox, deterministic terms, differencing,
mean, ARMA factors) on the diagonal; p q are the cross orders. A diagonal
gate checks that the joint model reproduces the univariate ones and stops the
program if it does not. In Python: drvarma.ladder.Ladder(files, p, q).fit().
See docs/LADDER.md.
The multivariate .inp (deprecated since 0.2 / C 5.0)
drvarma IPC3 3 0 -mean -deseason auto -forecast 24 # writes IPC3.out, .forecast
drvarma IPC3 3 0 -mean -forecast 24 -html # + HTML report per series
drvarma IPC3 3 0 -mean -estwin 200 -forecast 12 # recursive (.recursive)
drvarma IPC3 3 0 -mean -volexp 0.05 20 -volmov 20 # volatility (.volexp/.volmov)
<file>.inp in, text reports out. Flags: -mean -diagar -diagma -diagcov -m {1,2} -twostep -deseason [auto|force] -scale S -forecast H -html -estwin N -volexp [α w] -volmov [w] (λ, d, D come from the .inp header).
Documentation
docs/LADDER.md— the ladder: fue's models as input, the gate, forecasting, one format, and the parity with the C.docs/USER_GUIDE.md— install, API, CLI, worked examples.docs/INP_FORMAT.md— the.inpinput format (a precise, assistant-friendly spec for preparing inputs).docs/DEVELOPER_GUIDE.md— internals, algorithmic complexity from the literature, and the performance study.
Numerical methods
| Algorithm | Reference | Used for |
|---|---|---|
| Exact Gaussian VARMA log-likelihood (innovations factorisation, not Kalman) | Mauricio (1995) JASA; Mauricio (1997) AS 311 | Exact likelihood (drvarma._as311) |
| Factored-BFGS quasi-Newton + Dennis–Schnabel line search | Dennis & Schnabel (1983) | ML optimisation (drvarma._qnewt.raxopt) |
Concentrated objective f1ᵐ·f2 (σ² profiled, Σ = σ²·Q) |
Mauricio (1995) JASA §3 | Conditioning; covariance / std errors |
| Hannan–Rissanen two-step | Hannan & Rissanen (1982) | VARMA start (-twostep) |
| Companion-form Lyapunov / autocovariances | Mauricio (1997) AS 311 | Stationary covariance, ψ-weights |
| Orthogonalised IRF & FEVD (Cholesky of Σ) | Lütkepohl (2005) | Structural analysis |
| Hosking multivariate portmanteau; multivariate Jarque–Bera | Hosking (1980); Jarque & Bera (1980) | Residual diagnostics |
| Exponential / moving-window conditional covariance | — | Volatility (drvarma.volatility) |
Cross-references: Mauricio (2002, JTSA 23(4)) and Shea (1989, AS 242) are the other efficient exact-likelihood methods compared in the literature.
Authors and licence
drvarma is developed by David E. Guerrero and Arthur B. Treadway, based on the exact-likelihood algorithms designed and coded by José Alberto Mauricio.
Released under the GNU General Public License v2.0 or later
(GPL-2.0-or-later) — see COPYING.
1 maintainer
Metadata
1 maintainer
Release files for drvarma 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| drvarma-0.2.0.tar.gz | 300.2 kB | Details |
Built distributions (wheels)
Total release size: 28.2 MB
Release files / drvarma-0.2.0.tar.gz
| Download URL | drvarma-0.2.0.tar.gz |
|---|---|
| Size | 300.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fbd299b64256b458a37a5194c2e771e59cec36b09673183316e71c604040972e
|
|
BLAKE2b-256 checksum How to use checksums |
05a771208370e896531de2ca062cf9dd1c26dd1f502d2906ce22c4440922d4b4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-py3-none-any.whl
| Download URL | drvarma-0.2.0-py3-none-any.whl |
|---|---|
| Size | 185.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a33499cbd0c256ad4265a72443a0f3037d801d98656b6eb13c08d6547f81b282
|
|
BLAKE2b-256 checksum How to use checksums |
8c024e1c4be7ddd590dee5995c77c9eb1bbc907be8c3eb6876e211bba99f4df0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp313-cp313-win_amd64.whl
| Download URL | drvarma-0.2.0-cp313-cp313-win_amd64.whl |
|---|---|
| Size | 249.5 kB |
| Tags | CPython 3.13 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
f5a2db4f64727090010992a87119f23fc282615341a7b803597c27775e1cb7e7
|
|
BLAKE2b-256 checksum How to use checksums |
1ff389a177d0e78611ef9d7256f39e03f023c63974e5c0dc6e4e40327382a9f1
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp313-cp313-musllinux_1_2_x86_64.whl
| Download URL | drvarma-0.2.0-cp313-cp313-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.13 Linux musl 1.2+ x86-64 |
|
SHA-256 checksum How to use checksums |
f8a1f3021ee731a00152a1424d66b058823e6e0024bbda8ae496b13de1b207b5
|
|
BLAKE2b-256 checksum How to use checksums |
7c4566fa5adadbf128f2ec29016d1e533db2f471eab25164afdea2e7e51cdb6b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp313-cp313-musllinux_1_2_aarch64.whl
| Download URL | drvarma-0.2.0-cp313-cp313-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.13 Linux musl 1.2+ ARM64 |
|
SHA-256 checksum How to use checksums |
297c757e40084b4c8efce198c73fb59c66f39f1e6cbdaa33a8db70e095098235
|
|
BLAKE2b-256 checksum How to use checksums |
3f21513cc1efcbb9594e80a355a1ffc83724d5a9ff7cb1b856d9bc54460ceafd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | drvarma-0.2.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.13 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
61ec4cfe2a160a640bd5c73d3617613dd6556bc5be71fb6c64d4151c080a4d10
|
|
BLAKE2b-256 checksum How to use checksums |
4f57aa58ddf0fa5e99824b9fa59a96a067d3f9977d90e5cb09a26f542098e612
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | drvarma-0.2.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.13 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
2a98d79b0a8bd4f41bb9a11e31219097832445fdae7c09c9c8ddad6137f7696c
|
|
BLAKE2b-256 checksum How to use checksums |
6c158f6032afc97100f8b3cc4525bc4d193357dceb3d04a1961b4da128b4e647
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp313-cp313-macosx_14_0_arm64.whl
| Download URL | drvarma-0.2.0-cp313-cp313-macosx_14_0_arm64.whl |
|---|---|
| Size | 1.1 MB |
| Tags | CPython 3.13 macOS 14.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
b202b865fe3ef4d5ea9d28f391f5169afe1fe0f2a6b12c9cbad87470adf29766
|
|
BLAKE2b-256 checksum How to use checksums |
850a679b63255da5d60e317d64cca845e84079b384511457c865547fcc86ef85
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp312-cp312-win_amd64.whl
| Download URL | drvarma-0.2.0-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 249.5 kB |
| Tags | CPython 3.12 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
15fa39092edf17af0813d6685ff8fafb98a78784a67f4104ffb81380caf5b08e
|
|
BLAKE2b-256 checksum How to use checksums |
e3ec829b464b65e476c234187f21d03fb1f83f5c2b7cb41763088b2a01dd3bf0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp312-cp312-musllinux_1_2_x86_64.whl
| Download URL | drvarma-0.2.0-cp312-cp312-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.12 Linux musl 1.2+ x86-64 |
|
SHA-256 checksum How to use checksums |
e8f346e281f2a9adf61de9b0ebe4217551eeaa55afa388f04e0a8190a45f093d
|
|
BLAKE2b-256 checksum How to use checksums |
ca83a88abbc4293b9074a37bebbecdb14d4e0cd98b4255dd456afd9a75186183
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp312-cp312-musllinux_1_2_aarch64.whl
| Download URL | drvarma-0.2.0-cp312-cp312-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.12 Linux musl 1.2+ ARM64 |
|
SHA-256 checksum How to use checksums |
d96648b298140d656c84fbaf2bc1accdb87d2d4fa4b74cfdf642b84cf618b10d
|
|
BLAKE2b-256 checksum How to use checksums |
72d22120b43672b31fe02f1eaedab1089e139c4563af6224574f8ec8803acd03
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | drvarma-0.2.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.12 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
ae11dd614587fb9e835489243eaabfdccd5d75467fa5ab697717bb512838528c
|
|
BLAKE2b-256 checksum How to use checksums |
5ee17d9c60b66d973c6f6fc05175d86b24a60c9b2c603afd625ecd1dfc2b7ea5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | drvarma-0.2.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.12 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
a3c58dcc910f440ec4f80c7412a6056495350fa8f7966f7cdd9e5516a5dc4bee
|
|
BLAKE2b-256 checksum How to use checksums |
585199cb39ef87752863babcee74ef0d64211047ed881393db0d8b2b536dfde5
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp312-cp312-macosx_14_0_arm64.whl
| Download URL | drvarma-0.2.0-cp312-cp312-macosx_14_0_arm64.whl |
|---|---|
| Size | 1.1 MB |
| Tags | CPython 3.12 macOS 14.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
5dc82c6611c9d0dec0863c5d920a5d2e67463a71e8df19856c5ac8652fdcac33
|
|
BLAKE2b-256 checksum How to use checksums |
9b6e768060a2324ec31ee778d6b76c18f2ef8b01c66e909ed405e31c87b0b85f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp311-cp311-win_amd64.whl
| Download URL | drvarma-0.2.0-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 249.5 kB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
69a5c153582fd85ffd3d3c06bfe5cdca80e838e4fd85841c2de8cfb6de51f196
|
|
BLAKE2b-256 checksum How to use checksums |
b97ccc915444c5cff52980572ae0707ee7ecb8843644d41cec1586d5d925d1a9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp311-cp311-musllinux_1_2_x86_64.whl
| Download URL | drvarma-0.2.0-cp311-cp311-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.11 Linux musl 1.2+ x86-64 |
|
SHA-256 checksum How to use checksums |
f27e0a93b5989c287462a0d1d2cc26171b9d0c2723dd158359f79297f0c677ad
|
|
BLAKE2b-256 checksum How to use checksums |
9f55637781064ad6a822627403086479ae66805b0bd098edbca7f4976dc83ff2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp311-cp311-musllinux_1_2_aarch64.whl
| Download URL | drvarma-0.2.0-cp311-cp311-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.11 Linux musl 1.2+ ARM64 |
|
SHA-256 checksum How to use checksums |
311a4ee85cad6f1214374c9c80e5960bf027c136106ae422a530f23164476ff2
|
|
BLAKE2b-256 checksum How to use checksums |
f776bff53fd1b39692bf014bc32aedb0d9730a4b50d995f9714636493dcf3af2
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | drvarma-0.2.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
1e8c3c04b897244f951c0fc0c08966e5321178d7b5e670516f19165a237a9ab3
|
|
BLAKE2b-256 checksum How to use checksums |
3e1ba125c6aecf27b150ca4c813d45712769cb1a928513bd6d53b69e0d912fbe
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | drvarma-0.2.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
6b54fe42c02a44096f8a34c640d371c2a45488c9834298203700d7d65da676af
|
|
BLAKE2b-256 checksum How to use checksums |
86c41ad957972225b470daf46f43b75277bf0625770f4cb66fdabb3b43b2a679
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp311-cp311-macosx_14_0_arm64.whl
| Download URL | drvarma-0.2.0-cp311-cp311-macosx_14_0_arm64.whl |
|---|---|
| Size | 1.1 MB |
| Tags | CPython 3.11 macOS 14.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
1c81b8d387ea9d3a387fa4c89088c07d872c6f832a54fd37717ca3116cd89fec
|
|
BLAKE2b-256 checksum How to use checksums |
a6f345deffb6991f767b91af0f67657c649df80cadc1d8bef1ee179e856b1c36
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp310-cp310-win_amd64.whl
| Download URL | drvarma-0.2.0-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 249.5 kB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
670df3f74bc8e01f7cfdd6b31c58f325b11e61dccbbd054c4bd3cdc30d137d1f
|
|
BLAKE2b-256 checksum How to use checksums |
25aac5dad18c4a9eb8cf9dffa2a4f1ce23c1dd69d7b93ca3acb4384dfee951ae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl
| Download URL | drvarma-0.2.0-cp310-cp310-musllinux_1_2_x86_64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.10 Linux musl 1.2+ x86-64 |
|
SHA-256 checksum How to use checksums |
d1dac1c8f4bbe7a0241cc02ab3ab11bb016401fd79bc3f587dd2ab7fe4758f5c
|
|
BLAKE2b-256 checksum How to use checksums |
82dd3df0bfde5188c41ad1824bb768baf30ff98e0ddc03f39a964a4b5518102f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp310-cp310-musllinux_1_2_aarch64.whl
| Download URL | drvarma-0.2.0-cp310-cp310-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 1.3 MB |
| Tags | CPython 3.10 Linux musl 1.2+ ARM64 |
|
SHA-256 checksum How to use checksums |
9e78597d1abc60c7e5b3b7dc738fb32dc1ee6d6cf5cfdb354dc97d6f732a0869
|
|
BLAKE2b-256 checksum How to use checksums |
1b152bc85552abefe274004e1ae4912d2e98f13e061e198a613b8e9c05c4e8bd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | drvarma-0.2.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.10 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 |
|
SHA-256 checksum How to use checksums |
a3a83670d5210e9213a42de07a7dec847bf552c0ca6154e39370170398f48b66
|
|
BLAKE2b-256 checksum How to use checksums |
5da419c92c1e7fe6876258aa2edecdf929d2b5081e18b9af6f9096ca965000b9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | drvarma-0.2.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 1.4 MB |
| Tags | CPython 3.10 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 |
|
SHA-256 checksum How to use checksums |
6af39592738aa1341750cccc70a794053c55270d519135a9b9cf29b42504514d
|
|
BLAKE2b-256 checksum How to use checksums |
6dc7cc8050b8d32d5635c05f9d662b31b4bf00b837a7614a69724a13b12bb429
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency logRelease files / drvarma-0.2.0-cp310-cp310-macosx_14_0_arm64.whl
| Download URL | drvarma-0.2.0-cp310-cp310-macosx_14_0_arm64.whl |
|---|---|
| Size | 1.1 MB |
| Tags | CPython 3.10 macOS 14.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
2d052921a9022a6520acb99e7cdf8b95161a76bbd33751ec1d107324630ef8f6
|
|
BLAKE2b-256 checksum How to use checksums |
ea6761faeaadf686224c82cee146b05f2289a6a7dd76ca752e493739aa981525
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 15, 2026.
Transparency log
