psvri commented on code in PR #18642:
URL: https://github.com/apache/datafusion/pull/18642#discussion_r2523900443
##########
datafusion/sqllogictest/test_files/spark/math/csc.slt:
##########
@@ -23,5 +23,24 @@
## Original Query: SELECT csc(1);
## PySpark 3.5.5 Result: {'CSC(1)': 1.1883951057781212, 'typeof(CSC(1))':
'double', 'typeof(1)': 'int'}
-#query
-#SELECT csc(1::int);
+
+query R
+SELECT csc(1::INT);
+----
+1.188395105778121
+
+query R
+SELECT csc(a) FROM (VALUES (0::INT), (1::INT), (-1::INT), (null)) AS t(a);
+----
+Infinity
+1.188395105778121
+-1.188395105778121
+NULL
+
+query R
+SELECT csc(a) FROM (VALUES (pi()), (-pi()), (pi()/2) ,
(arrow_cast('NAN','Float32'))) AS t(a);
+----
+8165619676597685
+-8165619676597685
Review Comment:
Spark also outputs the same results for PI.
```
spark.sql("select csc(pi()), csc(-pi())").show(truncate=False, vertical=True)
-RECORD 0------------------------------
CSC(PI()) | 8.165619676597685E15
CSC((- PI())) | -8.165619676597685E15
```
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