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* Create meta.yaml of deepchopper * Update meta.yaml of deepchopper * Create build.sh of deepchopper * Update build.sh * Update meta.yaml * Update build.sh * Update meta.yaml * Update meta.yaml * Update build.sh * clean up recipe * add aarch64/arm64 builds * Update meta.yaml * Update build.sh * Update build.sh * Update build.sh * Update meta.yaml * Update meta.yaml * Update meta.yaml (evaluate do not have latest one) * Update meta.yaml * Update meta.yaml * Update meta.yaml * Update build.sh --------- Co-authored-by: mencian <[email protected]> Co-authored-by: Martin Grigorov <[email protected]> Co-authored-by: Joshua Zhuang <[email protected]>
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#!/bin/bash | ||
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# -e = exit on first error | ||
# -x = print every executed command | ||
set -ex | ||
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# if [ `uname` == Darwin ]; then | ||
# export HOME=`mktemp -d` | ||
# fi | ||
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curl https://sh.rustup.rs -sSf | sh -s -- --default-toolchain nightly --profile=minimal -y | ||
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export PATH="$HOME/.cargo/bin:$PATH" | ||
# export CARGO_TARGET_X86_64_UNKNOWN_LINUX_GNU_LINKER="$CC" | ||
# export CARGO_TARGET_AARCH64_UNKNOWN_LINUX_GNU_LINKER="$CC" | ||
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maturin build --interpreter python --release | ||
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$PYTHON -m pip install target/wheels/*.whl --no-deps --ignore-installed -vv |
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{% set name = "deepchopper" %} | ||
{% set version = "1.2.4" %} | ||
{% set sha256 = "e7f0bfed8c34e011e924bc12e30dec9c58777f1879962b9a2036da29009461e4" %} | ||
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package: | ||
name: {{ name|lower }} | ||
version: {{ version }} | ||
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source: | ||
url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz | ||
sha256: {{ sha256 }} | ||
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build: | ||
number: 0 | ||
skip: True # [py < 310] | ||
run_exports: | ||
- {{ pin_subpackage("deepchopper", max_pin="x") }} | ||
entry_points: | ||
- deepchopper = deepchopper.cli:app | ||
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requirements: | ||
build: | ||
- {{ compiler('rust') }} | ||
- {{ compiler('c') }} | ||
- make | ||
- cmake | ||
host: | ||
- python | ||
- pip | ||
- maturin >=1.2.1,<2 | ||
- setuptools-rust | ||
- setuptools | ||
run: | ||
- python | ||
- pytorch >=2.1.0 | ||
- lightning >=2.1.2 | ||
- torchmetrics >=1.2.0 | ||
- rich >=13.7.0 | ||
- transformers >=4.37.2 | ||
- safetensors >=0.4.2 | ||
- datasets ==2.14.2 | ||
- evaluate >=0.4.1 | ||
- typer >=0.12.0 | ||
- gradio ==5.0.1 | ||
- fastapi ==0.112.2 | ||
- scikit-learn >=1.5.2 | ||
- hydra-core >=1.3.2 | ||
- omegaconf >=2.3.0 | ||
- python-multipart ==0.0.12 | ||
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test: | ||
imports: | ||
- deepchopper | ||
commands: | ||
- deepchopper --help | ||
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about: | ||
home: https://github.com/ylab-hi/DeepChopper | ||
license: Apache-2.0 | ||
license_family: Apache | ||
license_file: LICENSE | ||
summary: 'A Genomic Language Model for Chimera Artifact Detection in Nanopore Direct RNA Sequencing.' | ||
description: | | ||
DeepChopper is a genomic language model designed to identify artificial sequences. | ||
It provides functionality for encoding FASTQ files, making predictions, and chopping sequences. | ||
doc_url: https://github.com/ylab-hi/DeepChopper | ||
dev_url: https://github.com/ylab-hi/DeepChopper | ||
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extra: | ||
additional-platforms: | ||
- linux-aarch64 | ||
- osx-arm64 | ||
recipe-maintainers: | ||
- yangyangli |