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Update savana to 1.0.4 (Resolve errors by pinning scikit-learn to 1.2.x) #42859

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Sep 11, 2023
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8 changes: 5 additions & 3 deletions recipes/savana/meta.yaml
Original file line number Diff line number Diff line change
@@ -1,13 +1,13 @@
{% set name = "savana" %}
{% set version = "1.0.3" %}
{% set version = "1.0.4" %}

package:
name: "{{ name }}"
version: "{{ version }}"

source:
url: "https://github.com/cortes-ciriano-lab/{{ name }}/archive/{{ version }}.tar.gz"
sha256: 803554f7efbba397e2cf9c1eee04f8471606ab4029b4eacf59ae34463ff2521d
sha256: f870ec9d36b20c1caf7849a4bff7af8cc984cd076b2f4d39153661e15776c644

build:
number: 0
Expand All @@ -16,6 +16,8 @@ build:
- "{{ PYTHON }} -m pip install . -vv"
entry_points:
- savana=savana.savana:main
run_exports:
- {{ pin_subpackage(name, max_pin="x") }}

requirements:
build:
Expand All @@ -25,7 +27,7 @@ requirements:
- pybedtools >=0.9.0
- pysam >=0.20.0
- cyvcf2 >=0.30.16
- scikit-learn >=1.2.2
- scikit-learn >=1.2.2,<1.3.0
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Hi @dpryan79 I've just tested installing the newly merged 1.0.4 version of savana, with both conda and mamba, but version 1.3.0 of scikit-learn is still being installed though I've tried to pin it below 1.3.0 in the meta.yaml here. Would you be able to advise how best to pin the version of a dependency? Many thanks.

- pandas >=2.0.0
- matplotlib-base >=3.7.1

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