105 lines
3.6 KiB
Python
105 lines
3.6 KiB
Python
|
#
|
||
|
|
# 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 pandas as pd
|
||
|
|
|
||
|
|
from pyspark.pandas.testing.utils import ReusedSQLTestCase, SQLTestUtils
|
||
|
|
from pyspark.pandas.utils import (
|
||
|
|
lazy_property,
|
||
|
|
validate_arguments_and_invoke_function,
|
||
|
|
validate_bool_kwarg,
|
||
|
|
)
|
||
|
|
|
||
|
|
some_global_variable = 0
|
||
|
|
|
||
|
|
|
||
|
|
class UtilsTest(ReusedSQLTestCase, SQLTestUtils):
|
||
|
|
|
||
|
|
# a dummy to_html version with an extra parameter that pandas does not support
|
||
|
|
# used in test_validate_arguments_and_invoke_function
|
||
|
|
def to_html(self, max_rows=None, unsupported_param=None):
|
||
|
|
args = locals()
|
||
|
|
|
||
|
|
pdf = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
|
||
|
|
validate_arguments_and_invoke_function(pdf, self.to_html, pd.DataFrame.to_html, args)
|
||
|
|
|
||
|
|
def to_clipboard(self, sep=",", **kwargs):
|
||
|
|
args = locals()
|
||
|
|
|
||
|
|
pdf = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]}, index=[0, 1, 3])
|
||
|
|
validate_arguments_and_invoke_function(
|
||
|
|
pdf, self.to_clipboard, pd.DataFrame.to_clipboard, args
|
||
|
|
)
|
||
|
|
|
||
|
|
# Support for **kwargs
|
||
|
|
self.to_clipboard(sep=",", index=False)
|
||
|
|
|
||
|
|
def test_validate_arguments_and_invoke_function(self):
|
||
|
|
# This should pass and run fine
|
||
|
|
self.to_html()
|
||
|
|
self.to_html(unsupported_param=None)
|
||
|
|
self.to_html(max_rows=5)
|
||
|
|
|
||
|
|
# This should fail because we are explicitly setting an unsupported param
|
||
|
|
# to a non-default value
|
||
|
|
with self.assertRaises(TypeError):
|
||
|
|
self.to_html(unsupported_param=1)
|
||
|
|
|
||
|
|
def test_lazy_property(self):
|
||
|
|
obj = TestClassForLazyProp()
|
||
|
|
# If lazy prop is not working, the second test would fail (because it'd be 2)
|
||
|
|
self.assert_eq(obj.lazy_prop, 1)
|
||
|
|
self.assert_eq(obj.lazy_prop, 1)
|
||
|
|
|
||
|
|
def test_validate_bool_kwarg(self):
|
||
|
|
# This should pass and run fine
|
||
|
|
koalas = True
|
||
|
|
self.assert_eq(validate_bool_kwarg(koalas, "koalas"), True)
|
||
|
|
koalas = False
|
||
|
|
self.assert_eq(validate_bool_kwarg(koalas, "koalas"), False)
|
||
|
|
koalas = None
|
||
|
|
self.assert_eq(validate_bool_kwarg(koalas, "koalas"), None)
|
||
|
|
|
||
|
|
# This should fail because we are explicitly setting a non-boolean value
|
||
|
|
koalas = "true"
|
||
|
|
with self.assertRaisesRegex(
|
||
|
|
ValueError, 'For argument "koalas" expected type bool, received type str.'
|
||
|
|
):
|
||
|
|
validate_bool_kwarg(koalas, "koalas")
|
||
|
|
|
||
|
|
|
||
|
|
class TestClassForLazyProp:
|
||
|
|
def __init__(self):
|
||
|
|
self.some_variable = 0
|
||
|
|
|
||
|
|
@lazy_property
|
||
|
|
def lazy_prop(self):
|
||
|
|
self.some_variable += 1
|
||
|
|
return self.some_variable
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
import unittest
|
||
|
|
from pyspark.pandas.tests.test_utils import * # noqa: F401
|
||
|
|
|
||
|
|
try:
|
||
|
|
import xmlrunner # type: ignore[import]
|
||
|
|
testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
|
||
|
|
except ImportError:
|
||
|
|
testRunner = None
|
||
|
|
unittest.main(testRunner=testRunner, verbosity=2)
|