Add: deepchopper

recipes/deepchopper/build.sh

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+#!/bin/bash
+set -ex
+
+# Build the package using Maturin
+maturin build --release --strip --interpreter $PYTHON
+
+# Install the wheel
+$PYTHON -m pip install $WHEEL_PATH --no-deps -vv

recipes/deepchopper/meta.yaml

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+{% set name = "deepchopper" %}
+{% set version = "1.2.4" %}
+{% set sha256 = "e7f0bfed8c34e011e924bc12e30dec9c58777f1879962b9a2036da29009461e4" %}
+
+package:
+ name: {{ name|lower }}
+ version: {{ version }}
+
+source:
+ url: https://pypi.io/packages/source/{{ name[0] }}/{{ name }}/{{ name }}-{{ version }}.tar.gz
+ sha256: {{ sha256 }}
+
+build:
+ number: 0
+ skip: True # [py<310]
+ run_exports:
+ - {{ pin_subpackage("deepchopper", max_pin="x.x") }}
+ entry_points:
+ - deepchopper = deepchopper.cli:app
+
+requirements:
+ build:
+ - {{ compiler('rust') }}
+ - {{ compiler('c') }}
+ - make
+ - cmake
+ host:
+ - python
+ - pip
+ - maturin >=1.2.1,<2
+ - setuptools-rust
+ - setuptools
+ - wheel
+ run:
+ - python >=3.10
+ - {{ pin_compatible('numpy') }}
+ - torch >=2.1.0
+ - lightning >=2.1.2
+ - torchmetrics >=1.2.0
+ - rich >=13.7.0
+ - transformers >=4.37.2
+ - safetensors >=0.4.2
+ - datasets >=2.17.1
+ - 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
+
+test:
+ imports:
+ - deepchopper
+ commands:
+ - pip check
+ - deepchopper --help
+
+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
+
+extra:
+ recipe-maintainers:
+ - yangyangli