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# Licensed to the Apache Software Foundation (ASF) under one

# or more contributor license agreements. See the NOTICE file

# distributed with this work for additional information

# regarding copyright ownership. The ASF licenses this file

# to you under the Apache License, Version 2.0 (the

# "License"); you may not use this file except in compliance

# with the License. You may obtain a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing,

# software distributed under the License is distributed on an

# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY

# KIND, either express or implied. See the License for the

# specific language governing permissions and limitations

# under the License.

import pyarrow as pa

import pytest

from datafusion import SessionContext

@pytest.fixture

def df():

ctx = SessionContext()

# create a RecordBatch and a new DataFrame from it

batch = pa.RecordBatch.from_arrays(

[pa.array([1, 2, 3]), pa.array([4, 4, 6])],

names=["a", "b"],

)

return ctx.create_dataframe([[batch]])

def test_indexing(df):

assert df["a"] is not None

assert df["a", "b"] is not None

assert df[("a", "b")] is not None

assert df[["a"]] is not None

def test_err(df):

with pytest.raises(Exception) as e_info:

df["c"]

for e in ["SchemaError", "FieldNotFound", 'name: "c"']:

assert e in e_info.value.args[0]

with pytest.raises(Exception) as e_info:

df[1]

assert (

"DataFrame can only be indexed by string index or indices"

in e_info.value.args[0]

)