pitrou commented on code in PR #41904:
URL: https://github.com/apache/arrow/pull/41904#discussion_r1704159728
##########
python/pyarrow/tests/test_csv.py:
##########
@@ -54,18 +53,31 @@ def generate_col_names():
yield first + second
+def split_rows(arr, num_cols, num_rows):
+ # Split a num_cols x num_rows array into rows
+ for i in range(0, num_rows*num_cols, num_cols):
+ yield list(itertools.islice(arr, i, i + num_cols))
+
+
+def split_columns(arr, num_cols, num_rows):
+ # Split a num_cols x num_rows array into columns
+ for i in range(0, num_cols):
+ yield list(itertools.islice(arr, i, num_cols * num_rows, num_cols))
+
+
def make_random_csv(num_cols=2, num_rows=10, linesep='\r\n', write_names=True):
- arr = np.random.RandomState(42).randint(0, 1000, size=(num_cols, num_rows))
+ arr = [random.randint(0, 1000) for _ in range(num_cols * num_rows)]
Review Comment:
We want to make random generation deterministic just like above, so perhaps
something like:
```suggestion
rnd = random.Random(42)
arr = [rnd.randint(0, 1000) for _ in range(num_cols * num_rows)]
```
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