From fe81801c8c20153fdf1261eae10d7516d3a7f906 Mon Sep 17 00:00:00 2001
From: Deep Chatterjee <deep.chatterjee@ligo.org>
Date: Wed, 29 Mar 2023 09:10:25 -0500
Subject: [PATCH] bump ligo.em-bright version

---
 CHANGES.rst    |  2 ++
 poetry.lock    | 64 +++++++++++++++++++++++++-------------------------
 pyproject.toml |  2 +-
 3 files changed, 35 insertions(+), 33 deletions(-)

diff --git a/CHANGES.rst b/CHANGES.rst
index 288b3e9be..0d69bac85 100644
--- a/CHANGES.rst
+++ b/CHANGES.rst
@@ -14,6 +14,8 @@ Changelog
 -   Increase test coverage for views.py and fix manual mock coincidence
     injections.
 
+-   Bump ligo.em-bright version to v1.1.1.
+
 2.0.4 "Skunk Ape" (2023-03-28)
 ------------------------------
 
diff --git a/poetry.lock b/poetry.lock
index 5bdc902a9..829ff53cd 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2152,14 +2152,14 @@ test = ["pytest"]
 
 [[package]]
 name = "ligo-em-bright"
-version = "1.1.0"
+version = "1.1.1"
 description = "Possibility and properties of Electromagnetically-bright sources of gravitational-wave events"
 category = "main"
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
-    {file = "ligo.em-bright-1.1.0.tar.gz", hash = "sha256:a8c4912055ee872d40f5c52d7bf1a6904523869b0699c4fa3eb25becb619cd8c"},
-    {file = "ligo.em_bright-1.1.0-py3-none-any.whl", hash = "sha256:ed9c26d3c7a1d76192fc8eec31372cd1085dc82ac6ff071a9cc658403d331f17"},
+    {file = "ligo_em_bright-1.1.1-py3-none-any.whl", hash = "sha256:4223d385ce92be23aed9f19022b91b324cb6ab84ce62d49589836cae31ef3ced"},
+    {file = "ligo_em_bright-1.1.1.tar.gz", hash = "sha256:572900d3deb789cf76d356dfe2469a53c0ace3199d8821443512d8046ee7458c"},
 ]
 
 [package.dependencies]
@@ -2167,7 +2167,7 @@ astropy = ">=5.2.1"
 h5py = ">=3.7.0"
 lalsuite = ">=7.0,<8.0"
 pandas = ">=1.5.2"
-scikit-learn = "1.1.3"
+scikit-learn = ">=1.2.1,<2.0.0"
 
 [[package]]
 name = "ligo-followup-advocate"
@@ -4081,46 +4081,46 @@ test = ["pytest"]
 
 [[package]]
 name = "scikit-learn"
-version = "1.1.3"
+version = "1.2.2"
 description = "A set of python modules for machine learning and data mining"
 category = "main"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "scikit_learn-1.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8e9dd76c7274055d1acf4526b8efb16a3531c26dcda714a0c16da99bf9d41900"},
-    {file = "scikit_learn-1.1.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:ee47f68d973cee7009f06edb956f2f5588a0f230f24a2a70175fd0ecf36e2653"},
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-    {file = "scikit_learn-1.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5d4231af7199531e77da1b78a4cc6b3d960a00b1ec672578ac818aae2b9c35d"},
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+    {file = "scikit-learn-1.2.2.tar.gz", hash = "sha256:8429aea30ec24e7a8c7ed8a3fa6213adf3814a6efbea09e16e0a0c71e1a1a3d7"},
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+    {file = "scikit_learn-1.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2e2642baa0ad1e8f8188917423dd73994bf25429f8893ddbe115be3ca3183584"},
+    {file = "scikit_learn-1.2.2-cp310-cp310-win_amd64.whl", hash = "sha256:ad66c3848c0a1ec13464b2a95d0a484fd5b02ce74268eaa7e0c697b904f31d6c"},
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+    {file = "scikit_learn-1.2.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:9c710ff9f9936ba8a3b74a455ccf0dcf59b230caa1e9ba0223773c490cab1e51"},
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+    {file = "scikit_learn-1.2.2-cp39-cp39-win_amd64.whl", hash = "sha256:6477eed40dbce190f9f9e9d0d37e020815825b300121307942ec2110302b66a3"},
 ]
 
 [package.dependencies]
-joblib = ">=1.0.0"
+joblib = ">=1.1.1"
 numpy = ">=1.17.3"
 scipy = ">=1.3.2"
 threadpoolctl = ">=2.0.0"
 
 [package.extras]
-benchmark = ["matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
-docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.2)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
-examples = ["matplotlib (>=3.1.2)", "pandas (>=1.0.5)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
-tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.2)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pyamg (>=4.0.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
+benchmark = ["matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "pandas (>=1.0.5)"]
+docs = ["Pillow (>=7.1.2)", "matplotlib (>=3.1.3)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)", "sphinx (>=4.0.1)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)", "sphinxext-opengraph (>=0.4.2)"]
+examples = ["matplotlib (>=3.1.3)", "pandas (>=1.0.5)", "plotly (>=5.10.0)", "pooch (>=1.6.0)", "scikit-image (>=0.16.2)", "seaborn (>=0.9.0)"]
+tests = ["black (>=22.3.0)", "flake8 (>=3.8.2)", "matplotlib (>=3.1.3)", "mypy (>=0.961)", "numpydoc (>=1.2.0)", "pandas (>=1.0.5)", "pooch (>=1.6.0)", "pyamg (>=4.0.0)", "pytest (>=5.3.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.16.2)"]
 
 [[package]]
 name = "scipy"
@@ -5062,4 +5062,4 @@ test = ["fastavro", "pytest-celery", "pytest-cov", "pytest-flask", "pytest-socke
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.9,<3.11"
-content-hash = "e80b65760b6382a0c5d767189b9307864431d593ab161d14c3653fac87271735"
+content-hash = "8207423f1ee6167c816c88e8fc00c1629d70b67a576eb5a7ddf0e50cf1a35516"
diff --git a/pyproject.toml b/pyproject.toml
index 8344bb388..1032b0988 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -77,7 +77,7 @@ ligo-followup-advocate = ">=1.1.6"
 ligo-gracedb = ">=2.7.5"  # https://git.ligo.org/lscsoft/gracedb-client/-/issues/28
 ligo-raven = "^2.0"
 ligo-segments = "*"
-"ligo.em-bright" = "==1.1.0"  # https://git.ligo.org/emfollow/em-properties/em-bright/-/merge_requests/45
+"ligo.em-bright" = ">=1.1.1"  # https://git.ligo.org/emfollow/em-properties/em-bright/-/issues/23
 "ligo.skymap" = ">=1.0.4"  # https://git.ligo.org/lscsoft/ligo.skymap/-/merge_requests/299
 lscsoft-glue = "*"
 lxml = "*"
-- 
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