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Ftt.def
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Bootstrap: docker
From: condaforge/mambaforge:latest
Stage: spython-base
%files
pipeline/setup/install-deps.sh install-deps.sh
envs/base.yml /conda-envs/5b9b6359aeb7a8cce83d20a6a4869b56/environment.yaml
envs/bicleaner-ai-lumi.yml /conda-envs/6dc32b6f0731acf817ada219622a98b8/environment.yaml
envs/bicleaner-ai.yml /conda-envs/04b8248cb528961ad452c73dd0a7c8b6/environment.yaml
envs/bicleaner.yml /conda-envs/a4f700aa6ff0256dcd9321b536a081ac/environment.yaml
envs/corpus.yml /conda-envs/2e8e4401e9abbca04941f823d00fe74a/environment.yaml
envs/tensorboard.yml /conda-envs/fadf1aec392d8a065ae29b9fcf9b3221/environment.yaml
%labels
io.github.snakemake.containerized="true"
io.github.snakemake.conda_env_hash="64ea2eddccf85926495d095ffb5b21f7f31a5ec81a124706d5a79c5a3382bbe7"
%post
# Remove this if not in Finland, or change to closer mirror
cat /etc/apt/sources.list | sed "s/archive.ubuntu.com/mirrors.nic.funet.fi/g" > temp && mv temp /etc/apt/sources.list
apt-get update && apt-get -y install gcc g++ curl
export DEBIAN_FRONTEND=noninteractive
bash install-deps.sh
# Step 1: Retrieve conda environments
# Conda environment:
# source: envs/base.yml
# prefix: /conda-envs/5b9b6359aeb7a8cce83d20a6a4869b56
# name: bergamot-training
# channels:
# - conda-forge
# - defaults
# dependencies:
# - python=3.9
# - cmake=3.21.1
# - pip=21.2.2
# - pip:
# - sacrebleu==2.0.0
# - mtdata==0.4.0
# - fasttext==0.9.2
# - regex==2019.8.19
# - sacremoses==0.0.43
# - langcodes==3.3.0
# - opusfilter==3.0.0rc2
# - opustrainer==0.2 #sacremoses 35 pyyaml 6.0
mkdir -p /conda-envs/5b9b6359aeb7a8cce83d20a6a4869b56
# Conda environment:
# source: envs/bicleaner-ai-lumi.yml
# prefix: /conda-envs/6dc32b6f0731acf817ada219622a98b8
# name: bicleaner-ai
# channels:
# - conda-forge
# - defaults
# dependencies:
# - python=3.9
# - pip==21.2.2
# - cmake=3.21.1
# - pip:
# - bicleaner-ai==2.2.1
# - tensorflow-rocm==2.10.0.520
mkdir -p /conda-envs/6dc32b6f0731acf817ada219622a98b8
# Conda environment:
# source: envs/bicleaner-ai.yml
# prefix: /conda-envs/04b8248cb528961ad452c73dd0a7c8b6
# name: bicleaner-ai
# channels:
# - conda-forge
# - defaults
# dependencies:
# - python=3.9
# - pip==21.2.2
# - cmake=3.21.1
# - pip:
# - bicleaner-ai==2.2.1
# - tensorflow==2.6.5
mkdir -p /conda-envs/04b8248cb528961ad452c73dd0a7c8b6
# Conda environment:
# source: envs/bicleaner.yml
# prefix: /conda-envs/a4f700aa6ff0256dcd9321b536a081ac
# name: bicleaner
# channels:
# - conda-forge
# - bitextor
# - defaults
# dependencies:
# - python=3.8
# - pip==23.0
# - cmake=3.21.1
# - hunspell==1.7.0
# - pip:
# - pypi-kenlm
# - bicleaner==0.16.1
mkdir -p /conda-envs/a4f700aa6ff0256dcd9321b536a081ac
# Conda environment:
# source: envs/corpus.yml
# prefix: /conda-envs/2e8e4401e9abbca04941f823d00fe74a
# name: corpus
# channels:
# - conda-forge
# - defaults
# dependencies:
# - python=3.9
# - pip=21.2.2
# - pip:
# - sacrebleu==2.0.0
# - mtdata==0.3.2
# - requests==2.26.0
mkdir -p /conda-envs/2e8e4401e9abbca04941f823d00fe74a
# Conda environment:
# source: envs/tensorboard.yml
# prefix: /conda-envs/fadf1aec392d8a065ae29b9fcf9b3221
# name: tensorboard
# channels:
# - conda-forge
# - defaults
# dependencies:
# - python=3.9
# - cmake=3.21.1
# - pip=21.2.2
# - pip:
# - tensorboard==2.5.0
# - tensorboardX==2.2
# - click==8.0.1
# - toolz==0.11.1
mkdir -p /conda-envs/fadf1aec392d8a065ae29b9fcf9b3221
# Step 2: Generate conda environments
mamba env create --prefix /conda-envs/5b9b6359aeb7a8cce83d20a6a4869b56 --file /conda-envs/5b9b6359aeb7a8cce83d20a6a4869b56/environment.yaml && \
mamba env create --prefix /conda-envs/6dc32b6f0731acf817ada219622a98b8 --file /conda-envs/6dc32b6f0731acf817ada219622a98b8/environment.yaml && \
mamba env create --prefix /conda-envs/04b8248cb528961ad452c73dd0a7c8b6 --file /conda-envs/04b8248cb528961ad452c73dd0a7c8b6/environment.yaml && \
mamba env create --prefix /conda-envs/a4f700aa6ff0256dcd9321b536a081ac --file /conda-envs/a4f700aa6ff0256dcd9321b536a081ac/environment.yaml && \
mamba env create --prefix /conda-envs/2e8e4401e9abbca04941f823d00fe74a --file /conda-envs/2e8e4401e9abbca04941f823d00fe74a/environment.yaml && \
mamba env create --prefix /conda-envs/fadf1aec392d8a065ae29b9fcf9b3221 --file /conda-envs/fadf1aec392d8a065ae29b9fcf9b3221/environment.yaml && \
mamba clean --all -y
#Bicleaner needs the fasttext language id model installed
wget -O lid.176.bin https://dl.fbaipublicfiles.com/fasttext/supervised-models/lid.176.bin
cp lid.176.bin /conda-envs/6dc32b6f0731acf817ada219622a98b8/lib/python3.9/site-packages/fastspell/lid.176.bin
cp lid.176.bin /conda-envs/a4f700aa6ff0256dcd9321b536a081ac/lib/python3.8/site-packages/fastspell/lid.176.bin
cp lid.176.bin /conda-envs/04b8248cb528961ad452c73dd0a7c8b6/lib/python3.9/site-packages/fastspell/lid.176.bin
#Fastspell (used in bicleaner) uses hunspell to disambiguate between similar languages, install all hunspell dictionaries for that
wget -O fastspell_dictionaries.tgz https://github.com/mbanon/fastspell/releases/download/dictionaries_v1/fastspell_dictionaries.tgz
mkdir -p /usr/share/hunspell
tar -xf fastspell_dictionaries.tgz --directory /usr/share/hunspell
%runscript
exec /bin/bash "$@"
%startscript
exec /bin/bash "$@"