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cleanup test imports (#7162)

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This commit is contained in:
Danglewood
2025-07-06 11:26:41 -07:00
committed by GitHub
parent 1dcca411ae
commit bd70423989
41 changed files with 717 additions and 747 deletions
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39
openbb_platform/extensions/quantitative/integration/test_quantitative_python.py
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@@ -4,7 +4,6 @@ import random
from typing import Literal
import pytest
from extensions.tests.conftest import parametrize
from openbb_core.app.model.obbject import OBBject
@@ -62,7 +61,7 @@ def get_data(menu: Literal["equity", "crypto"]):
return funcs[menu]()
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -80,7 +79,7 @@ def test_quantitative_normality(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -98,7 +97,7 @@ def test_quantitative_capm(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -132,7 +131,7 @@ def test_quantitative_performance_omega_ratio(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close", "window": "5", "index": "date"}, "equity"),
@@ -151,7 +150,7 @@ def test_quantitative_rolling_kurtosis(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -185,7 +184,7 @@ def test_quantitative_unitroot_test(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -221,7 +220,7 @@ def test_quantitative_performance_sharpe_ratio(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -259,7 +258,7 @@ def test_quantitative_performance_sortino_ratio(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close", "window": "220", "index": "date"}, "equity"),
@@ -277,7 +276,7 @@ def test_quantitative_rolling_skew(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -314,7 +313,7 @@ def test_quantitative_rolling_quantile(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -332,7 +331,7 @@ def test_quantitative_summary(params, data_type, obb):
assert isinstance(result, OBBject)
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -367,7 +366,7 @@ def test_quantitative_rolling_stdev(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -402,7 +401,7 @@ def test_quantitative_rolling_mean(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(
@@ -437,7 +436,7 @@ def test_quantitative_rolling_variance(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -455,7 +454,7 @@ def test_quantitative_stats_skew(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -473,7 +472,7 @@ def test_quantitative_stats_kurtosis(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -491,7 +490,7 @@ def test_quantitative_stats_variance(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -509,7 +508,7 @@ def test_quantitative_stats_stdev(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
({"data": "", "target": "close"}, "equity"),
@@ -527,7 +526,7 @@ def test_quantitative_stats_mean(params, data_type, obb):
assert len(result.results) > 0
@parametrize(
@pytest.mark.parametrize(
"params, data_type",
[
(