nixpkgs/pkgs/development/python-modules/tokenizers/default.nix

{ lib
, rustPlatform
, fetchFromGitHub
, fetchurl
, pipInstallHook
, setuptools-rust
, wheel
, numpy
, python
, datasets
, pytestCheckHook
, requests
}:

let
  robertaVocab = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-vocab.json";
    sha256 = "0m86wpkfb2gdh9x9i9ng2fvwk1rva4p0s98xw996nrjxs7166zwy";
  };
  robertaMerges = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-merges.txt";
    sha256 = "1idd4rvkpqqbks51i2vjbd928inw7slij9l4r063w3y5fd3ndq8w";
  };
  albertVocab = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-v1-tokenizer.json";
    sha256 = "1hra9pn8rczx7378z88zjclw2qsdrdwq20m56sy42s2crbas6akf";
  };
  bertVocab = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt";
    sha256 = "18rq42cmqa8zanydsbzrb34xwy4l6cz1y900r4kls57cbhvyvv07";
  };
  norvigBig = fetchurl {
    url = "https://norvig.com/big.txt";
    sha256 = "0yz80icdly7na03cfpl0nfk5h3j3cam55rj486n03wph81ynq1ps";
  };
  docPipelineTokenizer = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/anthony/doc-pipeline/tokenizer.json";
    hash = "sha256-i533xC8J5CDMNxBjo+p6avIM8UOcui8RmGAmK0GmfBc=";
  };
  docQuicktourTokenizer = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/anthony/doc-quicktour/tokenizer.json";
    hash = "sha256-ipY9d5DR5nxoO6kj7rItueZ9AO5wq9+Nzr6GuEIfIBI=";
  };
  openaiVocab = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-vocab.json";
    sha256 = "0y40gc9bixj5rxv674br1rxmxkd3ly29p80x1596h8yywwcrpx7x";
  };
  openaiMerges = fetchurl {
    url = "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-merges.txt";
    sha256 = "09a754pm4djjglv3x5pkgwd6f79i2rq8ydg0f7c3q1wmwqdbba8f";
  };
in rustPlatform.buildRustPackage rec {
  pname = "tokenizers";
  version = "0.10.0";

  src = fetchFromGitHub {
    owner = "huggingface";
    repo = pname;
    rev = "python-v${version}";
    hash = "sha256-rQ2hRV52naEf6PvRsWVCTN7B1oXAQGmnpJw4iIdhamw=";
  };

  cargoSha256 = "sha256-BoHIN/519Top1NUBjpB/oEMqi86Omt3zTQcXFWqrek0=";

  sourceRoot = "source/bindings/python";

  nativeBuildInputs = [
    pipInstallHook
    setuptools-rust
    wheel
  ];

  propagatedBuildInputs = [
    numpy
    python
  ];

  installCheckInputs = [
    datasets
    pytestCheckHook
    requests
  ];

  doCheck = false;
  doInstallCheck = true;

  postUnpack = ''
    # Add data files for tests, otherwise tests attempt network access.
    mkdir $sourceRoot/tests/data
    ( cd $sourceRoot/tests/data
      ln -s ${robertaVocab} roberta-base-vocab.json
      ln -s ${robertaMerges} roberta-base-merges.txt
      ln -s ${albertVocab} albert-base-v1-tokenizer.json
      ln -s ${bertVocab} bert-base-uncased-vocab.txt
      ln -s ${docPipelineTokenizer} bert-wiki.json
      ln -s ${docQuicktourTokenizer} tokenizer-wiki.json
      ln -s ${norvigBig} big.txt
      ln -s ${openaiVocab} openai-gpt-vocab.json
      ln -s ${openaiMerges} openai-gpt-merges.txt )
  '';

  buildPhase = ''
    ${python.interpreter} setup.py bdist_wheel
  '';

  installPhase = ''
    pipInstallPhase
  '';

  preCheck = ''
    HOME=$TMPDIR
  '';

  disabledTests = [
    # Downloads data using the datasets module.
    "TestTrainFromIterators"
  ];

  meta = with lib; {
    homepage = "https://github.com/huggingface/tokenizers";
    description = "Fast State-of-the-Art Tokenizers optimized for Research and Production";
    license = licenses.asl20;
    platforms = platforms.unix;
    maintainers = with maintainers; [ danieldk ];
  };
}