pyvsc (Verification Stimulus and Coverage) is a Python package for generating randomized stimulus and defining and collecting functional coverage.

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mballance from gravatar.com mballance

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache 2.0
  • Author: Matthew Ballance
  • Tags Python , Functional Verification , Constraints , Coverage
  • Requires: Python >=3.10
Report project as malware

Project description

PyVSC implements a Python-embedded domain-specific language for capturing random variables and data structures, constraints, and functional coverage metrics. PyVSC is built on top of the Boolector SMT solver.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mballance from gravatar.com mballance

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Apache 2.0
  • Author: Matthew Ballance
  • Tags Python , Functional Verification , Constraints , Coverage
  • Requires: Python >=3.10

Release history Release notifications | RSS feed

0.9.4.25837897616

This version

0.9.4.25711553021

0.9.4.24192082852

0.9.4.24111203402

0.9.4.22122858116

0.9.4.22121726138

0.9.4.22121577563

0.9.4.21567333848

0.9.4.19475493160

0.9.4.19342806556

0.9.4.19195130816

0.9.4.19195124892

0.9.4.17961244602

0.9.4.16393943433

0.9.4.15369697742

0.9.4.14939408520

0.9.4.14552052434

0.9.4.13813254445

0.9.3.13485039521

0.9.3.10985030023

0.9.1.10086043874

0.9.1.10031514295

0.9.1.10022711941

0.9.1.9940712143

0.9.1.9940706839

0.9.1.9940644656

0.9.1.9940593662

0.9.1.9920936192

0.9.0.9920922763

0.9.0.9785918211

0.9.0.9622060553

0.8.9.8655301580

0.8.8.8445254032

0.8.8.8445014080

0.8.8.7162283399

0.8.7.6990678536

0.8.6.6319294550

0.8.5.6318608914

0.8.5.6153648413

0.8.5.5944440558

0.8.4.5932731079

0.8.3.4340109521

0.8.2.4238553981

0.8.2.4110341772

0.8.2.4029712566

0.8.1.3466255343

0.8.0.3304598593

0.8.0.3231375476

0.7.9.3032608688

0.7.8.3008149820

0.7.7.2884171784

0.7.6.2764051711

0.7.5.2761537329

0.7.5.2630962355

0.7.5.2630326210

0.7.5.2612361247

0.7.3.2485440646

0.7.3.2485134296

0.7.3.2484619664

0.7.3.2484463842

0.7.2.2481406307

0.7.2.2328372561

0.7.1.2192808032

0.7.0.2117799761

0.7.0.1904017040

0.6.9.1837466541

0.6.9.1837458850

0.6.8.1827322812

0.6.7.1792877175

0.6.6.1656570787

0.6.5.1516745361

0.6.4.1516732620

0.6.4.1483360542

0.6.3.1400856349

0.6.2.1392544946

0.6.1.1392541017

0.6.0.1372589403

0.6.0.1361592744

0.6.0.1300951885

0.5.9.1300924217

0.5.9.1300920983

0.5.9.1283707599

0.5.9.1283683442

0.5.8.20210912.1

0.5.7.20210909.1

0.5.6.20210903.1

0.5.5.20210822.1

0.5.4.20210821.1

0.5.3.20210817.1

0.5.2.20210724.1

0.5.1.20210721.3

0.5.1.20210721.1

0.5.0.20210710.1

0.4.9.20210706.1

0.4.8.20210705.1

0.4.7.20210703.2

0.4.6.20210701.1

0.4.5.20210630.2

0.4.4.20210628.1

0.4.3.20210624.1

0.4.2.20210620.1

0.4.1.20210617.1

0.4.0.20210608.2

0.3.9.20210601.1

0.3.8.20210526.1

0.3.7.20210523.1

0.3.6.20210508.1

0.3.5.20210507.3

0.3.5.20210507.2

0.3.5.20210504.2

0.3.5.20210504.1

0.3.5.20210502.1

0.3.4.20210424.1

0.3.3.20210422.1

0.3.2.20210421.2

0.3.2.20210421.1

0.3.2.20210415.1

0.3.1.20210413.2

0.3.0.20210313.1

0.2.9.20210221.1

0.2.9.20210207.1

0.2.9.20210203.3

0.2.9.20210130.2

0.2.9.20210129.2

0.2.9.20210129.1

0.2.8.20210127.2

0.2.8.20201222.1

0.2.8.20201108.1

0.2.7.20201107.1

0.2.6.20201105.5

0.2.6.20201105.4

0.2.6.20201105.3

0.2.6.20201105.2

0.2.6.20201105.1

0.2.5.20201101.1

0.2.5.20201025.2

0.2.4.20201025.1

0.2.4.20201018.2

0.2.3.20201018.1

0.2.3.20201006.1

0.2.2.20200926.3

0.2.2.20200926.2

0.2.2.20200926.1

0.2.1.20200917.1

0.2.0.20200912.5

0.1.9.20200908.2

0.1.9.20200908.1

0.1.9.20200907.3

0.1.9.20200907.2

0.1.9.20200907.1

0.1.9.20200906.1

0.1.9.20200901.1

0.1.8.20200823.1

0.1.8.20200822.1

0.1.7.20200821.2

0.1.7.20200821.1

0.1.7.20200820.1

0.1.6.20200819.1

0.1.5.20200815.1

0.1.4.20200813.1

0.1.3.20200812.1

0.1.2.20200809.1

0.1.1.20200808.1

0.1.0.20200803.1

0.0.8.20200731.1

0.0.8.20200726.1

0.0.7.20200719.1

0.0.6.20200707.1

0.0.5.20200706.2

0.0.5.20200706.1

0.0.5.20200703.2

0.0.4.20200703.1

0.0.4.20200702.1

0.0.4.20200701.1

0.0.4.20200630.1

0.0.3.20200628.1

0.0.3.20200627.1

0.0.3.20200624.1

0.0.2.20200617.1

0.0.2.20200613.1

0.0.2.20200606.1

0.0.1.20200531.1

0.0.1.20200522.1

0.0.1.20200520.1

0.0.1.20200516.3

0.0.1.20200509.2

0.0.1.20200509.1

0.0.1.20200503.1

0.0.1.20200502.1

0.0.1.20200429.2

0.0.1.20200415.1

0.0.1.20200411.3

0.0.1.20200411.2

0.0.1.20200411.1

0.0.1.20200410.2

0.0.1.20200410.1

0.0.1.20200408.2

0.0.1.20200407.2

0.0.1.20200407.1

0.0.1.20200404.1

0.0.1.20200403.2

0.0.1.20200403.1

0.0.1.20200329.2

0.0.1.20200329.1

0.0.1.20200328.2

0.0.1.20200328.1

0.0.1.20200327.3

0.0.1.20200327.1

0.0.1.20200326.4

0.0.1.20200326.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyvsc-0.9.4.25711553021-py2.py3-none-any.whl (167.4 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pyvsc-0.9.4.25711553021-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyvsc-0.9.4.25711553021-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 7ffc03d9d9b280ebad4bfa10cf105cd03b68007f8632b398a20c77b64a2d36af
MD5 0eaad59298cc739d7282f17b1ed6797d
BLAKE2b-256 81cd2d52d25c17add8fc9a146e5b9614f39e7aa01fe723a9ec8ee91849fac158

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page