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
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

Release history Release notifications | RSS feed

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

This version

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-0.9.4.19342806556-py2.py3-none-any.whl (165.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file pyvsc-0.9.4.19342806556-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for pyvsc-0.9.4.19342806556-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 4ba627fb0ac6c36ef61809c9c4a8f278db7e7cecbdb1af179371ec2c5c375441
MD5 954a8ad8b04d00e2b8364e2d43da0cc2
BLAKE2b-256 2d17a5933841f7207f17f89e8d4a69ea3279eb3383d83401f26516ad19ef71aa

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