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A BPE tokeniser for use with OpenAI's models. It exposes APIs used for processing text using tokens.

2
likes
140/ 160
pub points
4.82k
downloads

We analyzed this package 4 days ago, and awarded it 140 pub points (of a possible 160):

Partially passed report section
Follow Dart file conventions
30 / 30trigger folding of the section

Partially passed check 10/10 points: Provide a valid pubspec.yaml

Issue tracker URL doesn't exist.

At the time of the analysis https://github.com/orenagiv/langchain_tiktoken/issues?q=is%3Aissue+is%3Aopen+ was unreachable. Make sure that the website is reachable via HEAD requests.

Passed check 5/5 points: Provide a valid README.md

Passed check 5/5 points: Provide a valid CHANGELOG.md

Passed check 10/10 points: Use an OSI-approved license

Detected license: MIT.

Passed report section
Provide documentation
20 / 20trigger folding of the section

Passed check 10/10 points: 20% or more of the public API has dartdoc comments

20 out of 28 API elements (71.4 %) have documentation comments.

Some symbols that are missing documentation: tiktoken.SpecialTokensSet.SpecialTokensSet.all, tiktoken.SpecialTokensSet.SpecialTokensSet.custom, tiktoken.SpecialTokensSet.SpecialTokensSet.empty, tiktoken.SpecialTokensSet.isAll, tiktoken.SpecialTokensSet.set.

Passed check 10/10 points: Package has an example

Passed report section
Platform support
20 / 20trigger folding of the section

Passed check 20/20 points: Supports 6 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)

  • ✓ Android

  • ✓ iOS

  • ✓ Windows

  • ✓ Linux

  • ✓ macOS

  • ✓ Web

Passed check 0/0 points: WASM compatibility

This package is compatible with runtime wasm, and will be rewarded additional points in a future version of the scoring model.

See https://dart.dev/web/wasm for details.

Failed report section
Pass static analysis
30 / 50trigger folding of the section

Failed check 30/50 points: code has no errors, warnings, lints, or formatting issues

Found 5 issues. Showing the first 2:

WARNING: A value for optional parameter 'explicitNVocab' isn't ever given.

lib/src/core_bpe_constructor.dart:40:10

   ╷
40 │     this.explicitNVocab,
   │          ^^^^^^^^^^^^^^
   ╵

To reproduce make sure you are using the lints_core and run dart analyze lib/src/core_bpe_constructor.dart

INFO: Dangling library doc comment.

lib/src/ranks/cl100k_base.tiktoken.dart:1:1

  ╷
1 │ ┌ /// Placeholder file
2 │ │ ///
3 │ │ /// Use `download_ranks.dart` script under the `\tools` directory
4 │ └ /// to download required files.
  ╵

To reproduce make sure you are using the lints_core and run dart analyze lib/src/ranks/cl100k_base.tiktoken.dart

Passed report section
Support up-to-date dependencies
40 / 40trigger folding of the section

Passed check 10/10 points: All of the package dependencies are supported in the latest version

No dependencies.

To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.

Passed check 10/10 points: Package supports latest stable Dart and Flutter SDKs

Passed check 20/20 points: Compatible with dependency constraint lower bounds

pub downgrade does not expose any static analysis error.

Analyzed with Pana 0.22.18, Dart 3.7.0.

Check the analysis log for details.

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2
likes
140
points
4.82k
downloads

Publisher

verified publisherdragonx.cloud

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A BPE tokeniser for use with OpenAI's models. It exposes APIs used for processing text using tokens.

Repository (GitHub)
View/report issues

Documentation

API reference

License

MIT (license)

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