Changelog and fixes

hgrecco · Aug 21, 2024 · 87c63f8 · 87c63f8
1 parent 832c0a9
commit 87c63f8
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Showing 2 changed files with 10 additions and 7 deletions.
diff --git a/CHANGES b/CHANGES
@@ -10,6 +10,7 @@ Pint Changelog
 - Support permille units and `‰` symbol (PR #2033, Issue #1963)
 - Switch from appdirs to platformdirs.
 - Fixes issues related to GenericPlainRegistry.__getattr__ type (PR #2038, Issues #1946 and #1804)
+- Update constants to CODATA 2022 recommended values.
 
 
 0.24.1 (2024-06-24)

diff --git a/pint/pint_convert.py b/pint/pint_convert.py
@@ -98,16 +98,18 @@ def _set(key: str, value):
     m_p = (ureg._units["m_p"].converter.scale, 0.00000000052e-27)
     m_n = (ureg._units["m_n"].converter.scale, 0.00000000085e-27)
     if args.corr:
+        # fmt: off
         # Correlation matrix between measured constants (to be completed below)
-        #         R_i      g_e      m_u      m_e      m_p      m_n
+        #         R_i       g_e      m_u      m_e      m_p      m_n
         corr = [
-            [ 1.00000,-0.00122, 0.00438, 0.00225, 0.00455, 0.00277],  # R_i
-            [-0.00122, 1.00000, 0.97398, 0.97555, 0.97404, 0.59702],  # g_e
-            [ 0.00438, 0.97398, 1.00000, 0.99839, 0.99965, 0.61279],  # m_u
-            [ 0.00225, 0.97555, 0.99839, 1.00000, 0.99845, 0.61199],  # m_e
-            [ 0.00455, 0.97404, 0.99965, 0.99845, 1.00000, 0.61281],  # m_p
-            [ 0.00277, 0.59702, 0.61279, 0.61199, 0.61281, 1.00000],  # m_n
+            [ 1.00000, -0.00122, 0.00438, 0.00225, 0.00455, 0.00277],  # R_i
+            [-0.00122,  1.00000, 0.97398, 0.97555, 0.97404, 0.59702],  # g_e
+            [ 0.00438,  0.97398, 1.00000, 0.99839, 0.99965, 0.61279],  # m_u
+            [ 0.00225,  0.97555, 0.99839, 1.00000, 0.99845, 0.61199],  # m_e
+            [ 0.00455,  0.97404, 0.99965, 0.99845, 1.00000, 0.61281],  # m_p
+            [ 0.00277,  0.59702, 0.61279, 0.61199, 0.61281, 1.00000],  # m_n
         ]
+        # fmt: on
         try:
             (R_i, g_e, m_u, m_e, m_p, m_n) = uncertainties.correlated_values_norm(
                 [R_i, g_e, m_u, m_e, m_p, m_n], corr