Add ligo.em-bright repodata patch

[duncanmmacleod]

This PR adds a ligo.em-bright.yaml repodata patch YAML file to backport conda-forge/ligo.em-bright-feedstock#28 to older builds for the affected release.

Checklist

• Used a static YAML file for the patch if possible (instructions).
• Only wrote code directly into generate_patch_json.py if absolutely necessary.
• Ran pre-commit run -a and ensured all files pass the linting checks.
• Ran python show_diff.py and posted the output as part of the PR.
• Modifications won't affect packages built in the future.

Output of show_diff.py:

$ python show_diff.py
================================================================================
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linux-armv7l
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win-32
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linux-ppc64le
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osx-arm64
================================================================================
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linux-aarch64
================================================================================
================================================================================
noarch
noarch::ligo.em-bright-1.2.2-pyh0610db2_1.conda
-    "astropy-base >=6.0",
-    "h5py >=3.11.0",
-    "pandas >=2.2",
+    "astropy-base >=6.0,<7.0.0a0",
+    "h5py >=3.11.0,<4.0.0a0",
+    "pandas >=2.2,<3.0.0a0",
noarch::ligo.em-bright-1.2.2-pyhd8ed1ab_0.conda
-    "astropy >=6.0",
-    "h5py >=3.11.0",
-    "pandas >=2.2",
+    "astropy >=6.0,<7.0.0a0",
+    "h5py >=3.11.0,<4.0.0a0",
+    "pandas >=2.2,<3.0.0a0",
================================================================================
================================================================================
win-64
================================================================================
================================================================================
osx-64
================================================================================
================================================================================
linux-64

[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 (recipe/meta.yaml) and found it was in an excellent condition.