Add conda-forge recipes for ThermoScreening and PQAnalysis

[galjos]

What

Draft conda-forge recipes so the tool can be distributed on the conda-forge channel, kept in-repo under conda-recipes/ for reference and maintenance.

• conda-recipes/pqanalysis/ — the PQAnalysis dependency, which is on PyPI but not conda-forge and must land there first (conda-forge packages can only depend on conda-forge packages). It ships a compiled Cython extension, so it is a per-platform (non-noarch) recipe with {{ compiler('c') }} / {{ stdlib('c') }}, build.sh + bld.bat, and a skip: true # [py<312] (pip enforces Requires-Python >=3.12 across the build matrix). The test imports the compiled PQAnalysis.io.traj_file.process_lines module.
• conda-recipes/thermoscreening/ — the pure-Python noarch: python recipe.
• conda-recipes/README.md — submission order (PQAnalysis → ThermoScreening), maintainer notes, and the sha256/version-bump workflow.

Verification

• Every other dependency (numpy, scipy, pymatgen-core, beartype, ase, rdkit, and PQAnalysis's multimethod/lark/tqdm/decorator/argcomplete/rich-argparse) is already on conda-forge.
• Both source URLs resolve and their sha256 match the PyPI sdists; both sdists ship a root LICENSE.
• Both meta.yaml render to valid YAML with the conda jinja macros stubbed.
• Recipes reviewed against current staged-recipes conventions (SPDX license ids, numpy 2.0 ABI policy, setuptools_scm pretend-version for versionless sdists).

Note

These are not built by this repo's CI — they get submitted to conda-forge/staged-recipes, where conda-forge's own CI builds them. This PR just versions the drafts. conda-forge maintainer review + feedstock creation happens externally.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 96.92%. Comparing base (1eb5235) to head (d123128).
⚠️ Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main      #82   +/-   ##
=======================================
  Coverage   96.92%   96.92%           
=======================================
  Files          28       28           
  Lines        1689     1689           
=======================================
  Hits         1637     1637           
  Misses         52       52           

Flag	Coverage Δ
unittests	96.92% <ø> (ø)

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.