| # |
| # 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.indexes.base import Index |
| from pyspark.pandas.utils import ( |
| lazy_property, |
| validate_arguments_and_invoke_function, |
| validate_bool_kwarg, |
| validate_index_loc, |
| validate_mode, |
| ) |
| from pyspark.testing.pandasutils import PandasOnSparkTestCase |
| from pyspark.testing.sqlutils import SQLTestUtils |
| |
| some_global_variable = 0 |
| |
| |
| class UtilsTest(PandasOnSparkTestCase, 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 |
| pandas_on_spark = True |
| self.assert_eq(validate_bool_kwarg(pandas_on_spark, "pandas_on_spark"), True) |
| pandas_on_spark = False |
| self.assert_eq(validate_bool_kwarg(pandas_on_spark, "pandas_on_spark"), False) |
| pandas_on_spark = None |
| self.assert_eq(validate_bool_kwarg(pandas_on_spark, "pandas_on_spark"), None) |
| |
| # This should fail because we are explicitly setting a non-boolean value |
| pandas_on_spark = "true" |
| with self.assertRaisesRegex( |
| TypeError, 'For argument "pandas_on_spark" expected type bool, received type str.' |
| ): |
| validate_bool_kwarg(pandas_on_spark, "pandas_on_spark") |
| |
| def test_validate_mode(self): |
| self.assert_eq(validate_mode("a"), "append") |
| self.assert_eq(validate_mode("w"), "overwrite") |
| self.assert_eq(validate_mode("a+"), "append") |
| self.assert_eq(validate_mode("w+"), "overwrite") |
| |
| with self.assertRaises(ValueError): |
| validate_mode("r") |
| |
| def test_validate_index_loc(self): |
| psidx = Index([1, 2, 3]) |
| validate_index_loc(psidx, -1) |
| validate_index_loc(psidx, -3) |
| err_msg = "index 4 is out of bounds for axis 0 with size 3" |
| with self.assertRaisesRegex(IndexError, err_msg): |
| validate_index_loc(psidx, 4) |
| err_msg = "index -4 is out of bounds for axis 0 with size 3" |
| with self.assertRaisesRegex(IndexError, err_msg): |
| validate_index_loc(psidx, -4) |
| |
| |
| 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 |
| |
| testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2) |
| except ImportError: |
| testRunner = None |
| unittest.main(testRunner=testRunner, verbosity=2) |