Skip to main content

Offline Judge

An offline equivalent of an online judge in Python. Unfortunately, it uses many Unix-exclusive features. This is in theory compatible with Unix-likes, however, it is only tested on Linux 4.12.3.

Installation

$ pip install offline-judge

Usage

$ judge --help
usage: judge [-h] [--no-ansi] [--full-paths] [--no-summary]
             [--no-resource-usage]
             [--only-verdicts {AC,RTE,MLE,OLE,TLE,RE,WA} [{AC,RTE,MLE,OLE,TLE,RE,WA} ...]]
             [--exclude-verdicts {AC,RTE,MLE,OLE,TLE,RE,WA} [{AC,RTE,MLE,OLE,TLE,RE,WA} ...]]
             test_cases time_limit memory_limit executable
             [{standard,floats,identical}]

An quick offline judging tool.

positional arguments:
  test_cases            Directory that contains the test cases, where the
                        input is in a file ending with `.in` and the
                        corresponding output in a file with the same name
                        ending with `.out`.
  time_limit            Time limit in seconds. Decimals are accepted. Note
                        that this limit can be bypassed by catching SIGXCPU.
  memory_limit          Memory limit in one of "B", "K", "M", "G", "T". This
                        must be one continuous string, for example "5M" is
                        valid, however, "5 M" is not. Keep in mind that this
                        has to be a multiple of the architecture's page size.
  executable            The executable to run. It is executed through the
                        execve system call. Therefore, scripts starting with
                        "#!/bin/sh" will work, though it is a questionable
                        language choice. Additional languages can be supported
                        through helper scripts.
  {standard,floats,identical}
                        Checker to be used to compare the correct output and
                        the executable output. (default: standard)

optional arguments:
  -h, --help            show this help message and exit
  --no-ansi             Disable ANSI output.
  --full-paths          Use full case paths instead of batch headings and
                        padding.
  --no-summary          Do not output the final summary.
  --no-resource-usage   Do not output time and memory usage.
  --only-verdicts {AC,RTE,MLE,OLE,TLE,RE,WA} [{AC,RTE,MLE,OLE,TLE,RE,WA} ...]
                        Only display cases with the verdicts specified.
  --exclude-verdicts {AC,RTE,MLE,OLE,TLE,RE,WA} [{AC,RTE,MLE,OLE,TLE,RE,WA} ...]
                        Do not display cases with the verdicts specified.

Metadata

Release files for offline-judge 1.0.4

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

Source distribution (sdist)

Source distribution for offline-judge 1.0.4
File Size Uploaded Provenance Actions
offline_judge-1.0.4.tar.gz 8.7 kB Without provenance Details for offline_judge-1.0.4.tar.gz

Release files / offline_judge-1.0.4.tar.gz

Download URL offline_judge-1.0.4.tar.gz
Size 8.7 kB
Tags Source
SHA-256 checksum
How to use checksums
84ac01264a37879c0727c5f8782e19014767ed65ced61348fc5a4619730877da
BLAKE2b-256 checksum
How to use checksums
54fb14c532c160223b47d3f4056056d696e5cfea59b934407428758337ece018
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.3.0 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.2

Security for offline-judge 1.0.4

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page