From 6ad6eb96d7d0a0bcbe8e01386d80059a6d70a104 Mon Sep 17 00:00:00 2001
From: Wei Ji <23487320+weiji14@users.noreply.github.com>
Date: Fri, 15 Nov 2024 14:58:44 +1300
Subject: [PATCH] Move pa.array parametrizations to another file

The test_virtualfile_from_vectors_one_string_or_object_column unit test was moved to test_clib_virtualfile_from_vectors.py. Xref https://github.com/GenericMappingTools/pygmt/pull/3512
---
 .../test_clib_virtualfile_from_vectors.py     | 25 ++++++++++----
 pygmt/tests/test_clib_virtualfiles.py         | 34 -------------------
 2 files changed, 19 insertions(+), 40 deletions(-)

diff --git a/pygmt/tests/test_clib_virtualfile_from_vectors.py b/pygmt/tests/test_clib_virtualfile_from_vectors.py
index 041bc7a803c..453f222b6bc 100644
--- a/pygmt/tests/test_clib_virtualfile_from_vectors.py
+++ b/pygmt/tests/test_clib_virtualfile_from_vectors.py
@@ -53,17 +53,30 @@ def test_virtualfile_from_vectors(dtypes):
 
 
 @pytest.mark.benchmark
-@pytest.mark.parametrize("dtype", [str, object])
-def test_virtualfile_from_vectors_one_string_or_object_column(dtype):
-    """
-    Test passing in one column with string or object dtype into virtual file dataset.
+@pytest.mark.parametrize(
+    ("array_func", "dtype"),
+    [
+        pytest.param(np.array, {"dtype": np.str_}, id="str"),
+        pytest.param(np.array, {"dtype": np.object_}, id="object"),
+        pytest.param(
+            getattr(pa, "array", None),
+            {},  # pa.string()
+            marks=skip_if_no(package="pyarrow"),
+            id="pyarrow",
+        ),
+    ],
+)
+def test_virtualfile_from_vectors_one_string_or_object_column(array_func, dtype):
+    """
+    Test passing in one column with string (numpy/pyarrow) or object (numpy)
+    dtype into virtual file dataset.
     """
     size = 5
     x = np.arange(size, dtype=np.int32)
     y = np.arange(size, size * 2, 1, dtype=np.int32)
-    strings = np.array(["a", "bc", "defg", "hijklmn", "opqrst"], dtype=dtype)
+    strings = array_func(["a", "bc", "defg", "hijklmn", "opqrst"], **dtype)
     with clib.Session() as lib:
-        with lib.virtualfile_from_vectors((x, y, strings)) as vfile:
+        with lib.virtualfile_from_vectors(x, y, strings) as vfile:
             with GMTTempFile() as outfile:
                 lib.call_module("convert", [vfile, f"->{outfile.name}"])
                 output = outfile.read(keep_tabs=True)
diff --git a/pygmt/tests/test_clib_virtualfiles.py b/pygmt/tests/test_clib_virtualfiles.py
index 6277f80e153..c747f763024 100644
--- a/pygmt/tests/test_clib_virtualfiles.py
+++ b/pygmt/tests/test_clib_virtualfiles.py
@@ -143,37 +143,3 @@ def test_open_virtual_file():
         bounds = "\t".join([f"<{col.min():.0f}/{col.max():.0f}>" for col in data.T])
         expected = f"<matrix memory>: N = {shape[0]}\t{bounds}\n"
         assert output == expected
-
-
-@pytest.mark.benchmark
-@pytest.mark.parametrize(
-    ("array_func", "dtype"),
-    [
-        pytest.param(np.array, {"dtype": np.str_}, id="str"),
-        pytest.param(np.array, {"dtype": np.object_}, id="object"),
-        pytest.param(
-            getattr(pa, "array", None),
-            {},  # pa.string()
-            marks=skip_if_no(package="pyarrow"),
-            id="pyarrow",
-        ),
-    ],
-)
-def test_virtualfile_from_vectors_one_string_or_object_column(array_func, dtype):
-    """
-    Test passing in one column with string (numpy/pyarrow) or object (numpy)
-    dtype into virtual file dataset.
-    """
-    size = 5
-    x = np.arange(size, dtype=np.int32)
-    y = np.arange(size, size * 2, 1, dtype=np.int32)
-    strings = array_func(["a", "bc", "defg", "hijklmn", "opqrst"], **dtype)
-    with clib.Session() as lib:
-        with lib.virtualfile_from_vectors(x, y, strings) as vfile:
-            with GMTTempFile() as outfile:
-                lib.call_module("convert", [vfile, f"->{outfile.name}"])
-                output = outfile.read(keep_tabs=True)
-        expected = "".join(
-            f"{i}\t{j}\t{k}\n" for i, j, k in zip(x, y, strings, strict=True)
-        )
-        assert output == expected