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Skip TensorFlow-backed tests cleanly when the tf extra is absent #3419

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7 changes: 4 additions & 3 deletions tests/test_dataset_augmentation.py
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Expand Up @@ -8,17 +8,18 @@
#
# Licensed under GNU Lesser General Public License v3.0
#
import imgaug.augmenters as iaa
import numpy as np
import pytest

from deeplabcut.pose_estimation_tensorflow.datasets import augmentation

tf = pytest.importorskip(
"tensorflow",
reason="TensorFlow not installed (use a project extra such as .[tf])",
)

import imgaug.augmenters as iaa # noqa: E402

from deeplabcut.pose_estimation_tensorflow.datasets import augmentation # noqa: E402


@pytest.mark.parametrize(
"width, height",
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12 changes: 6 additions & 6 deletions tests/test_evaluate.py
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Expand Up @@ -12,17 +12,17 @@
import pandas as pd
import pytest

import deeplabcut.pose_estimation_tensorflow as pet
from deeplabcut.pose_estimation_tensorflow.core.evaluate import (
get_available_requested_snapshots,
get_snapshots_by_index,
)

tf = pytest.importorskip(
"tensorflow",
reason="TensorFlow not installed (use a project extra such as .[tf])",
)

import deeplabcut.pose_estimation_tensorflow as pet # noqa: E402
from deeplabcut.pose_estimation_tensorflow.core.evaluate import ( # noqa: E402
get_available_requested_snapshots,
get_snapshots_by_index,
)


def make_single_animal_rmse_df(
bodyparts,
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11 changes: 6 additions & 5 deletions tests/test_pose_multianimal_imgaug.py
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Expand Up @@ -14,17 +14,18 @@
import pytest

from deeplabcut.core.config import read_config_as_dict, write_config
from deeplabcut.pose_estimation_tensorflow.datasets import (
Batch,
PoseDatasetFactory,
pose_multianimal_imgaug,
)

tf = pytest.importorskip(
"tensorflow",
reason="TensorFlow not installed (use a project extra such as .[tf])",
)

from deeplabcut.pose_estimation_tensorflow.datasets import ( # noqa: E402
Batch,
PoseDatasetFactory,
pose_multianimal_imgaug,
)


def mock_imread(path, mode):
return (np.random.rand(400, 400, 3) * 255).astype(np.uint8)
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4 changes: 2 additions & 2 deletions tests/test_predict_multianimal.py
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Expand Up @@ -11,13 +11,13 @@
import numpy as np
import pytest

from deeplabcut.pose_estimation_tensorflow.core import predict_multianimal

tf = pytest.importorskip(
"tensorflow",
reason="TensorFlow not installed (use a project extra such as .[tf])",
)

from deeplabcut.pose_estimation_tensorflow.core import predict_multianimal # noqa: E402

RADIUS = 5
THRESHOLD = 0.01
STRIDE = 8
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9 changes: 8 additions & 1 deletion tests/test_predict_supermodel.py
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Expand Up @@ -11,7 +11,14 @@
import numpy as np
import pytest

from deeplabcut.pose_estimation_tensorflow.modelzoo.api import superanimal_inference
tf = pytest.importorskip(
"tensorflow",
reason="TensorFlow not installed (use a project extra such as .[tf])",
)

from deeplabcut.pose_estimation_tensorflow.modelzoo.api import ( # noqa: E402
superanimal_inference,
)


def test_get_multi_scale_frames():
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