Merge pull request #206352 from samuela/samuela/autofaiss

python3Packages.autofaiss: init at 2.15.3
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Samuel Ainsworth 2022-12-17 17:24:50 -08:00 committed by GitHub
commit af87c010d4
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3 changed files with 103 additions and 0 deletions

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@ -0,0 +1,60 @@
{ buildPythonPackage
, embedding-reader
, faiss
, fetchFromGitHub
, fire
, fsspec
, lib
, numpy
, pyarrow
, pytestCheckHook
, pythonRelaxDepsHook
}:
buildPythonPackage rec {
pname = "autofaiss";
version = "2.15.3";
src = fetchFromGitHub {
owner = "criteo";
repo = pname;
rev = "refs/tags/${version}";
hash = "sha256-RJOOUMI4w1YPEjDKi0YkqTXU01AbVoPn2+Id6kdC5pA=";
};
nativeBuildInputs = [ pythonRelaxDepsHook ];
pythonRemoveDeps = [
# The `dataclasses` packages is a python2-only backport, unnecessary in
# python3.
"dataclasses"
# We call it faiss, not faiss-cpu.
"faiss-cpu"
];
pythonRelaxDeps = [
# As of v2.15.3, autofaiss asks for pyarrow<8 but we have pyarrow v9.0.0 in
# nixpkgs at the time of writing (2022-12-15).
"pyarrow"
];
propagatedBuildInputs = [ embedding-reader fsspec numpy faiss fire pyarrow ];
checkInputs = [ pytestCheckHook ];
disabledTests = [
# Attempts to spin up a Spark cluster and talk to it which doesn't work in
# the Nix build environment.
"test_build_partitioned_indexes"
"test_index_correctness_in_distributed_mode_with_multiple_indices"
"test_index_correctness_in_distributed_mode"
"test_quantize_with_pyspark"
];
meta = with lib; {
description = "Automatically create Faiss knn indices with the most optimal similarity search parameters";
homepage = "https://github.com/criteo/autofaiss";
license = licenses.asl20;
maintainers = with maintainers; [ samuela ];
};
}

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@ -0,0 +1,39 @@
{ buildPythonPackage
, fetchFromGitHub
, fsspec
, lib
, numpy
, pandas
, pyarrow
, pytestCheckHook
, pythonRelaxDepsHook
}:
buildPythonPackage rec {
pname = "embedding-reader";
version = "1.5.0";
src = fetchFromGitHub {
owner = "rom1504";
repo = pname;
rev = "refs/tags/${version}";
hash = "sha256-uyeIcAW9O9PR4cqmifC6Lx+Hn6XPb1RH/ksmUWvbdtw=";
};
nativeBuildInputs = [ pythonRelaxDepsHook ];
pythonRelaxDeps = [ "pyarrow" ];
propagatedBuildInputs = [ fsspec numpy pandas pyarrow ];
checkInputs = [ pytestCheckHook ];
pythonImportsCheck = [ "embedding_reader" ];
meta = with lib; {
description = "Efficiently read embedding in streaming from any filesystem";
homepage = "https://github.com/rom1504/embedding-reader";
license = licenses.mit;
maintainers = with maintainers; [ samuela ];
};
}

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@ -780,6 +780,8 @@ self: super: with self; {
autocommand = callPackage ../development/python-modules/autocommand { };
autofaiss = callPackage ../development/python-modules/autofaiss { };
autograd = callPackage ../development/python-modules/autograd { };
autoit-ripper = callPackage ../development/python-modules/autoit-ripper { };
@ -2935,6 +2937,8 @@ self: super: with self; {
email-validator = callPackage ../development/python-modules/email-validator { };
embedding-reader = callPackage ../development/python-modules/embedding-reader { };
embrace = callPackage ../development/python-modules/embrace { };
emcee = callPackage ../development/python-modules/emcee { };