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Mock test_class_labels in test_learning_curve_task.py #1675

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Mock test_class_labels in test_learning_curve_task.py #1675

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15 changes: 15 additions & 0 deletions tests/files/mock_responses/tasks/data_description_20.xml
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<oml:data_set_description xmlns:oml="http://openml.org/openml">
<oml:id>20</oml:id>
<oml:name>diabetes</oml:name>
<oml:version>1</oml:version>
<oml:description>Pima Indians Diabetes dataset.</oml:description>
<oml:format>ARFF</oml:format>
<oml:upload_date>2014-04-06T23:19:24</oml:upload_date>
<oml:licence>Public</oml:licence>
<oml:url>https://test.openml.org/data/download/20/dataset_20.arff</oml:url>
<oml:file_id>20</oml:file_id>
<oml:default_target_attribute>class</oml:default_target_attribute>
<oml:visibility>public</oml:visibility>
<oml:status>active</oml:status>
<oml:md5_checksum>00000000000000000000000000000000</oml:md5_checksum>
</oml:data_set_description>
22 changes: 22 additions & 0 deletions tests/files/mock_responses/tasks/data_features_20.xml
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<oml:data_features xmlns:oml="http://openml.org/openml">
<oml:feature>
<oml:index>0</oml:index>
<oml:name>preg</oml:name>
<oml:data_type>numeric</oml:data_type>
<oml:is_target>false</oml:is_target>
<oml:is_ignore>false</oml:is_ignore>
<oml:is_row_identifier>false</oml:is_row_identifier>
<oml:number_of_missing_values>0</oml:number_of_missing_values>
</oml:feature>
<oml:feature>
<oml:index>1</oml:index>
<oml:name>class</oml:name>
<oml:data_type>nominal</oml:data_type>
<oml:nominal_value>tested_negative</oml:nominal_value>
<oml:nominal_value>tested_positive</oml:nominal_value>
<oml:is_target>true</oml:is_target>
<oml:is_ignore>false</oml:is_ignore>
<oml:is_row_identifier>false</oml:is_row_identifier>
<oml:number_of_missing_values>0</oml:number_of_missing_values>
</oml:feature>
</oml:data_features>
22 changes: 22 additions & 0 deletions tests/files/mock_responses/tasks/task_801.xml
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<oml:task xmlns:oml="http://openml.org/openml">
<oml:task_id>801</oml:task_id>
<oml:task_type_id>3</oml:task_type_id>
<oml:task_type>Learning Curve</oml:task_type>
<oml:input name="source_data">
<oml:data_set>
<oml:data_set_id>20</oml:data_set_id>
<oml:target_feature>class</oml:target_feature>
</oml:data_set>
</oml:input>
<oml:input name="estimation_procedure">
<oml:estimation_procedure>
<oml:id>13</oml:id>
<oml:type>crossvalidation</oml:type>
<oml:data_splits_url>https://test.openml.org/api_splits/get/801/Task_801_splits.arff</oml:data_splits_url>
<oml:parameter name="number_repeats">1</oml:parameter>
<oml:parameter name="number_folds">10</oml:parameter>
<oml:parameter name="percentage"></oml:parameter>
<oml:parameter name="stratified_sampling">true</oml:parameter>
</oml:estimation_procedure>
</oml:input>
</oml:task>
28 changes: 24 additions & 4 deletions tests/test_tasks/test_learning_curve_task.py
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# License: BSD 3-Clause
from __future__ import annotations

import requests
from unittest import mock

import pandas as pd
import pytest

import openml
from openml.tasks import TaskType, get_task
from openml.testing import create_request_response

from .test_supervised_task import OpenMLSupervisedTaskTest

Expand Down Expand Up @@ -34,7 +39,22 @@ def test_download_task(self):
assert task.task_type_id == TaskType.LEARNING_CURVE
assert task.dataset_id == 20

@pytest.mark.test_server()
def test_class_labels(self):
task = get_task(self.task_id)
assert task.class_labels == ["tested_negative", "tested_positive"]

@mock.patch.object(requests.Session, "get")
def test_class_labels(mock_get, test_files_directory, test_api_key):
task_response = create_request_response(
status_code=200,
content_filepath=test_files_directory / "mock_responses" / "tasks" / "task_801.xml",
)
description_response = create_request_response(
status_code=200,
content_filepath=test_files_directory / "mock_responses" / "tasks" / "data_description_20.xml",
)
features_response = create_request_response(
status_code=200,
content_filepath=test_files_directory / "mock_responses" / "tasks" / "data_features_20.xml",
)
mock_get.side_effect = [task_response, description_response, features_response]

task = openml.tasks.get_task(801)
assert task.class_labels == ["tested_negative", "tested_positive"]