Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Skip some tests automatically in Github actions #558

Merged
merged 8 commits into from
Jan 15, 2025
Merged

Skip some tests automatically in Github actions #558

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
baab862
add skipif
Jan 14, 2025
44129cb
finally add skipif for datasets and timesfm
Jan 14, 2025
229d604
add lambda to large params
Jan 15, 2025
1997e36
minor fix
Jan 15, 2025
5dc1a53
remove skipif for inference tests
Jan 15, 2025
bdf6a2b
fix raised error message
Jan 15, 2025
6a2ee77
fix condition in skipif
Jan 15, 2025
9aa555a
Merge branch 'master' into issue-551
egoriyaa Jan 15, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
3 changes: 3 additions & 0 deletions .github/workflows/test.yml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,5 +1,8 @@
name: Test

env:
skip_large_tests: true

on:
push:
branches:
Expand Down
66 changes: 50 additions & 16 deletions tests/test_datasets/test_internal_datasets.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,3 +1,5 @@
import json
import os
import shutil

import numpy as np
Expand Down Expand Up @@ -87,7 +89,9 @@ def test_not_present_part():
pd.to_datetime("2011-01-01 00:15:00"),
pd.to_datetime("2015-01-01 00:00:00"),
("train", "test"),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
(
"m4_hourly",
Expand All @@ -102,7 +106,9 @@ def test_not_present_part():
0,
9932,
("train", "test"),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
(
"m4_weekly",
Expand All @@ -117,7 +123,9 @@ def test_not_present_part():
0,
2811,
("train", "test"),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
(
"m4_quarterly",
Expand All @@ -139,23 +147,29 @@ def test_not_present_part():
pd.to_datetime("2008-01-01 00:00:00"),
pd.to_datetime("2009-03-30 23:50:00"),
("train", "test"),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
pytest.param(
"traffic_2008_hourly",
(10896 + 24, 963),
pd.to_datetime("2008-01-01 00:00:00"),
pd.to_datetime("2009-03-30 23:00:00"),
("train", "test"),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
pytest.param(
"traffic_2015_hourly",
(17520 + 24, 862),
pd.to_datetime("2015-01-01 00:00:00"),
pd.to_datetime("2016-12-31 23:00:00"),
("train", "test"),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
(
"m3_monthly",
Expand Down Expand Up @@ -212,7 +226,9 @@ def test_not_present_part():
pd.to_datetime("2020-01-01 00:10:00"),
pd.to_datetime("2021-01-01 00:00:00"),
("train", "test"),
marks=pytest.mark.skip(reason="There is a problem with certificates during loading the dataset."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
(
"ETTm1",
Expand Down Expand Up @@ -248,7 +264,9 @@ def test_not_present_part():
pd.to_datetime("2006-12-16 17:24:00"),
pd.to_datetime("2010-11-26 21:02:00"),
tuple(),
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
(
"australian_wine_sales_monthly",
Expand Down Expand Up @@ -364,31 +382,43 @@ def test_list_datasets():
[
pytest.param(
"electricity_15T",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
"m4_hourly",
pytest.param(
"m4_daily",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
"m4_weekly",
pytest.param(
"m4_monthly",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
"m4_quarterly",
"m4_yearly",
pytest.param(
"traffic_2008_10T",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
pytest.param(
"traffic_2008_hourly",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
pytest.param(
"traffic_2015_hourly",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
"m3_monthly",
"m3_quarterly",
Expand All @@ -399,15 +429,19 @@ def test_list_datasets():
"tourism_yearly",
pytest.param(
"weather_10T",
marks=pytest.mark.skip(reason="There is a problem with certificates during loading the dataset."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
"ETTm1",
"ETTm2",
"ETTh1",
"ETTh2",
pytest.param(
"IHEPC_T",
marks=pytest.mark.skip(reason="Dataset is too large for testing in GitHub."),
marks=pytest.mark.skipif(
json.loads(os.getenv("skip_large_tests", "false")), reason="Dataset is too large for testing in GitHub."
),
),
"australian_wine_sales_monthly",
],
Expand Down
Loading
Loading