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Georg Schramm
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Oct 25, 2021
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package: | ||
name: pynemaiqpet | ||
version: {{ environ.get('GIT_DESCRIBE_TAG','v')[1:] }} | ||
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source: | ||
path: .. | ||
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build: | ||
number: 0 | ||
noarch: python | ||
entry_points: | ||
- pynemaiqpet_wb_nema_iq=pynemaiqpet.command_line_tools:wb_nema_iq | ||
script: {{ PYTHON }} -m pip install . -vv | ||
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requirements: | ||
host: | ||
- pip | ||
- python >=3.6,<3.9 | ||
- setuptools-scm | ||
- setuptools_scm_git_archive | ||
run: | ||
- lmfit >=1.0 | ||
- matplotlib-base >=3.1 | ||
- nibabel >=3.0 | ||
- pandas >=1.0 | ||
- pydicom >=2.0 | ||
- pymirc >=0.23 | ||
- python >=3.6,<3.9 | ||
- scipy >=1.4 | ||
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test: | ||
imports: | ||
- pynemaiqpet | ||
commands: | ||
- pip check | ||
- pynemaiqpet_wb_nema_iq --help | ||
requires: | ||
- pip | ||
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about: | ||
home: https://github.com/gschramm/pynemaiqpet | ||
summary: Analysis of PET NEMA IQ phantom scans | ||
license: MIT | ||
license_file: LICENSE | ||
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extra: | ||
recipe-maintainers: | ||
- gschramm |