127 lines
3.6 KiB
Nix
127 lines
3.6 KiB
Nix
{ lib, stdenv
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, rustPlatform
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, fetchFromGitHub
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, fetchurl
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, pipInstallHook
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, setuptools-rust
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, wheel
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, numpy
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, python
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, datasets
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, pytestCheckHook
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, requests
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}:
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let
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robertaVocab = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-vocab.json";
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sha256 = "0m86wpkfb2gdh9x9i9ng2fvwk1rva4p0s98xw996nrjxs7166zwy";
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};
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robertaMerges = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/roberta-base-merges.txt";
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sha256 = "1idd4rvkpqqbks51i2vjbd928inw7slij9l4r063w3y5fd3ndq8w";
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};
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albertVocab = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/albert-base-v1-tokenizer.json";
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sha256 = "1hra9pn8rczx7378z88zjclw2qsdrdwq20m56sy42s2crbas6akf";
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};
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bertVocab = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt";
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sha256 = "18rq42cmqa8zanydsbzrb34xwy4l6cz1y900r4kls57cbhvyvv07";
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};
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norvigBig = fetchurl {
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url = "https://norvig.com/big.txt";
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sha256 = "0yz80icdly7na03cfpl0nfk5h3j3cam55rj486n03wph81ynq1ps";
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};
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docPipelineTokenizer = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/anthony/doc-pipeline/tokenizer.json";
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hash = "sha256-i533xC8J5CDMNxBjo+p6avIM8UOcui8RmGAmK0GmfBc=";
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};
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docQuicktourTokenizer = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/anthony/doc-quicktour/tokenizer.json";
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hash = "sha256-ipY9d5DR5nxoO6kj7rItueZ9AO5wq9+Nzr6GuEIfIBI=";
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};
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openaiVocab = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-vocab.json";
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sha256 = "0y40gc9bixj5rxv674br1rxmxkd3ly29p80x1596h8yywwcrpx7x";
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};
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openaiMerges = fetchurl {
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url = "https://s3.amazonaws.com/models.huggingface.co/bert/openai-gpt-merges.txt";
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sha256 = "09a754pm4djjglv3x5pkgwd6f79i2rq8ydg0f7c3q1wmwqdbba8f";
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};
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in rustPlatform.buildRustPackage rec {
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pname = "tokenizers";
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version = "0.10.0";
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src = fetchFromGitHub {
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owner = "huggingface";
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repo = pname;
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rev = "python-v${version}";
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hash = "sha256-rQ2hRV52naEf6PvRsWVCTN7B1oXAQGmnpJw4iIdhamw=";
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};
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cargoSha256 = "sha256-BoHIN/519Top1NUBjpB/oEMqi86Omt3zTQcXFWqrek0=";
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sourceRoot = "source/bindings/python";
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nativeBuildInputs = [
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pipInstallHook
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setuptools-rust
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wheel
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];
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propagatedBuildInputs = [
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numpy
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python
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];
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installCheckInputs = [
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datasets
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pytestCheckHook
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requests
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];
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doCheck = false;
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doInstallCheck = true;
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postUnpack = ''
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# Add data files for tests, otherwise tests attempt network access.
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mkdir $sourceRoot/tests/data
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( cd $sourceRoot/tests/data
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ln -s ${robertaVocab} roberta-base-vocab.json
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ln -s ${robertaMerges} roberta-base-merges.txt
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ln -s ${albertVocab} albert-base-v1-tokenizer.json
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ln -s ${bertVocab} bert-base-uncased-vocab.txt
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ln -s ${docPipelineTokenizer} bert-wiki.json
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ln -s ${docQuicktourTokenizer} tokenizer-wiki.json
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ln -s ${norvigBig} big.txt
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ln -s ${openaiVocab} openai-gpt-vocab.json
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ln -s ${openaiMerges} openai-gpt-merges.txt )
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'';
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buildPhase = ''
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${python.interpreter} setup.py bdist_wheel
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'';
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installPhase = ''
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pipInstallPhase
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'';
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preCheck = ''
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HOME=$TMPDIR
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'';
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disabledTests = [
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# Downloads data using the datasets module.
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"TestTrainFromIterators"
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];
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meta = with lib; {
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homepage = "https://github.com/huggingface/tokenizers";
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description = "Fast State-of-the-Art Tokenizers optimized for Research and Production";
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license = licenses.asl20;
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platforms = platforms.unix;
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maintainers = with maintainers; [ danieldk ];
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};
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}
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