Bump further to 2500+ columns (or similar)

Signed-off-by: Sebastian Berg <[email protected]>

cpp/src/core/library.cpp

@@ -122,8 +122,8 @@ legate::Library create_and_registrate_library()
     GlobalMemoryResource::set_as_default_mmr_resource();
   }
   // Set with_has_allocations globally since currently all tasks allocate (and libcudf may also)
-  // Also ensure we can generally work with 100+ return columns.
-  auto options = legate::VariantOptions{}.with_has_allocations(true).with_return_size(8192);
+  // Also ensure we can generally work with 2000+ return columns.
+  auto options = legate::VariantOptions{}.with_has_allocations(true).with_return_size(131072);
   auto context =
     legate::Runtime::get_runtime()->find_or_create_library(library_name,
                                                            legate::ResourceConfig{},

python/tests/test_csv.py

@@ -60,10 +60,11 @@ def test_read_single_rows(tmp_path):
 
 def test_read_single_many_columns(tmp_path):
     # Legate has a limit on number of returns which limnits the
-    # number of columns (currently).  Make sure we support 100.
+    # number of columns (currently).  Make sure we support 1250.
+    # 2500+ are OK, but requires higher `--czmem`.
     file = tmp_path / "file.csv"
     # Write a file with many columns (and a few rows)
-    ncols = 120
+    ncols = 1250
     for i in range(5):
         file.write_text(",".join([str(i) for i in range(ncols)]) + "\n")