chore: clean

tests/dagster_pyiceberg_pandas/conftest.py

@@ -1,37 +1,7 @@
-import datetime as dt
-import random
-
-import pyarrow as pa
 import pytest
 
-# from pyiceberg import table as iceberg_table
-# from pyiceberg import transforms as T
-# from pyiceberg.catalog.sql import SqlCatalog
-
 
 @pytest.fixture(scope="session", autouse=True)
 def warehouse_path(tmp_path_factory) -> str:
     dir_ = tmp_path_factory.mktemp("warehouse")
     return str(dir_.resolve())
-
-
-@pytest.fixture(scope="session")
-def data() -> pa.Table:
-    random.seed(876)
-    N = 1440
-    d = {
-        "timestamp": pa.array(
-            [
-                dt.datetime(2023, 1, 1, 0, 0, 0) + dt.timedelta(minutes=i)
-                for i in range(N)
-            ]
-        ),
-        "category": pa.array([random.choice(["A", "B", "C"]) for _ in range(N)]),
-        "value": pa.array(random.uniform(0, 1) for _ in range(N)),
-    }
-    return pa.Table.from_pydict(d)
-
-
-@pytest.fixture(scope="session")
-def schema(data: pa.Table) -> pa.Schema:
-    return data.schema