Add pycalceff: Calculate binomial efficiencies and uncertainties

[marcpaterno]

Add pycalceff package for calculating binomial efficiencies and their uncertainties.

Package description:
A Python package for calculating binomial efficiencies and confidence intervals using Bayesian methods. Based on Fermilab Technical Memo 2286-cd.

Links:

• PyPI: https://pypi.org/project/pycalceff/
• Homepage: https://github.com/marcpaterno/pycalceff
• License: BSD-3-Clause

Checklist:

• License file is packaged
• Source is from PyPI
• Package can be installed with pip
• Tests pass locally
• Recipe maintainer: @marcpaterno

[github-actions]

Hi! This is the staged-recipes linter and your PR looks excellent! 🚀

[conda-forge-admin]

Hi! This is the friendly automated conda-forge-linting service.

I just wanted to let you know that I linted all conda-recipes in your PR (recipes/pycalceff/meta.yaml) and found it was in an excellent condition.

I do have some suggestions for making it better though...

For recipes/pycalceff/meta.yaml:

• ℹ️ noarch: python recipes should usually follow the syntax in our documentation for specifying the Python version.
  • For the host section of the recipe, you should usually use the pin python {{ python_min }} for the python entry.
  • For the run section of the recipe, you should usually use the pin python >={{ python_min }} for the python entry.
  • For the test.requires section of the recipe, you should usually use the pin python {{ python_min }} for the python entry.
  • If the package requires a newer Python version than the currently supported minimum version on conda-forge, you can override the python_min variable by adding a Jinja2 set statement at the top of your recipe (or using an equivalent context variable for v1 recipes).

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[Copilot]

Pull request overview

This pull request adds a new conda-forge recipe for pycalceff, a Python package that calculates binomial efficiencies and confidence intervals using Bayesian methods, based on Fermilab Technical Memo 2286-cd.

Changes:

• Adds a new conda recipe for pycalceff version 1.0.1
• Configures the package as a noarch Python package with a CLI entry point
• Includes appropriate dependencies (typer, rich, scipy) and basic tests

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[Copilot]

The Python version constraint '>=3.12,<3.15' has a very restrictive upper bound that excludes Python 3.15 and later. This may be too restrictive, especially since Python 3.15 may have been released by now (current date: January 2026).

Consider using a less restrictive upper bound or no upper bound unless there's a specific compatibility issue with Python 3.15+. A common pattern for noarch Python packages is to specify only a lower bound (e.g., 'python >=3.12') or use a more flexible upper bound (e.g., 'python >=3.12,<4.0').

Suggested change

	- python >=3.12,<3.15
	- setuptools >=61.0
	- pip
	run:
	- python >=3.12,<3.15
	- python >=3.12
	- setuptools >=61.0
	- pip
	run:
	- python >=3.12

[Copilot]

The Python version constraint '>=3.12,<3.15' has a very restrictive upper bound that excludes Python 3.15 and later. This may be too restrictive, especially since Python 3.15 may have been released by now (current date: January 2026).

Consider using a less restrictive upper bound or no upper bound unless there's a specific compatibility issue with Python 3.15+. A common pattern for noarch Python packages is to specify only a lower bound (e.g., 'python >=3.12') or use a more flexible upper bound (e.g., 'python >=3.12,<4.0').

Suggested change

	- python >=3.12,<3.15
	- setuptools >=61.0
	- pip
	run:
	- python >=3.12,<3.15
	- python >=3.12,<4.0
	- setuptools >=61.0
	- pip
	run:
	- python >=3.12,<4.0