3
0
Fork 0
forked from mirrors/nixpkgs
nixpkgs/pkgs/development/python-modules/tokenizers/default.nix
2021-01-25 18:31:47 +01:00

127 lines
3.6 KiB
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 ];
};
}