From 708ce8bf92c22ee2995e3b535f024720a5abb6a2 Mon Sep 17 00:00:00 2001
From: Eric Firing <efiring@hawaii.edu>
Date: Mon, 28 Oct 2024 15:05:42 -1000
Subject: [PATCH] Simplify ut_linci.

This removes a numpy deprecation warning:
"DeprecationWarning: Conversion of an array with
ndim > 0 to a scalar is deprecated, and will error
in future."
---
 .gitignore          |  3 +++
 utide/confidence.py | 16 ++++++----------
 2 files changed, 9 insertions(+), 10 deletions(-)

diff --git a/.gitignore b/.gitignore
index 49f63e5..3ec6ee4 100644
--- a/.gitignore
+++ b/.gitignore
@@ -74,3 +74,6 @@ doc/_build/
 .pydevproject
 .vscode/
 utide/_version.py
+
+# Mac
+.DS_Store
diff --git a/utide/confidence.py b/utide/confidence.py
index 0ddd815..8e91219 100644
--- a/utide/confidence.py
+++ b/utide/confidence.py
@@ -423,19 +423,15 @@ def ut_linci(X, Y, sigX, sigY):
     # UTide v1p0 9/2011 d.codiga@gso.uri.edu
     # (adapted from errell.m of t_tide, Pawlowicz et al 2002)
 
-    X = np.array([X])
-    Y = np.array([Y])
-    sigX = np.array([sigX])
-    sigY = np.array([sigY])
-    Xu = np.real(X[:])
+    Xu = np.real(X)
     sigXu = np.real(sigX)
-    Yu = np.real(Y[:])
+    Yu = np.real(Y)
     sigYu = np.real(sigY)
 
-    Xv = np.imag(X[:])
-    sigXv = np.imag(sigX[:])
-    Yv = np.imag(Y[:])
-    sigYv = np.imag(sigY[:])
+    Xv = np.imag(X)
+    sigXv = np.imag(sigX)
+    Yv = np.imag(Y)
+    sigYv = np.imag(sigY)
 
     rp = 0.5 * np.sqrt((Xu + Yv) ** 2 + (Xv - Yu) ** 2)
     rm = 0.5 * np.sqrt((Xu - Yv) ** 2 + (Xv + Yu) ** 2)