8137716344

Committed 22 Jan 2024 10:53PM UTC coverage: 98.47%. Remained the same

Build # 8137716344

Build Type

push

github

Committed by

web-flow

Commit Message

Bump pillow from 10.1.0 to 10.2.0 in /tests (#718)

Bumps [pillow](https://github.com/python-pillow/Pillow) from 10.1.0 to 10.2.0.
- [Release notes](https://github.com/python-pillow/Pillow/releases)
- [Changelog](https://github.com/python-pillow/Pillow/blob/main/CHANGES.rst)
- [Commits](https://github.com/python-pillow/Pillow/compare/10.1.0...10.2.0)

---
updated-dependencies:
- dependency-name: pillow
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

Run Details

3475 of 3529 relevant lines covered (98.47%)

7.22 hits per line

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100.0

/foolbox/models/tensorflow.py

from typing import cast, Any
import eagerpy as ep

from ..types import BoundsInput, Preprocessing

from .base import ModelWithPreprocessing


def get_device(device: Any) -> Any:
    import tensorflow as tf

    if device is None:
        device = tf.device("/GPU:0" if tf.test.is_gpu_available() else "/CPU:0")
    if isinstance(device, str):
        device = tf.device(device)
    return device


class TensorFlowModel(ModelWithPreprocessing):
    def __init__(
        self,
        model: Any,
        bounds: BoundsInput,
        device: Any = None,
        preprocessing: Preprocessing = None,
    ):
        import tensorflow as tf

        if not tf.executing_eagerly():
            raise ValueError(
                "TensorFlowModel requires TensorFlow Eager Mode"
            )  # pragma: no cover

        device = get_device(device)
        with device:
            dummy = ep.tensorflow.zeros(0)
        super().__init__(model, bounds, dummy, preprocessing=preprocessing)

        self.device = device

    @property
    def data_format(self) -> str:
        import tensorflow as tf

        return cast(str, tf.keras.backend.image_data_format())

1	from typing import cast, Any	10✔
2	import eagerpy as ep	10✔
3
4	from ..types import BoundsInput, Preprocessing	10✔
5
6	from .base import ModelWithPreprocessing	10✔
7
8
9	def get_device(device: Any) -> Any:	10✔
10	import tensorflow as tf	2✔
11
12	if device is None:	2✔
13	device = tf.device("/GPU:0" if tf.test.is_gpu_available() else "/CPU:0")	2✔
14	if isinstance(device, str):	2✔
15	device = tf.device(device)	2✔
16	return device	2✔
17
18
19	class TensorFlowModel(ModelWithPreprocessing):	10✔
20	def __init__(	10✔
21	self,
22	model: Any,
23	bounds: BoundsInput,
24	device: Any = None,
25	preprocessing: Preprocessing = None,
26	):
27	import tensorflow as tf	2✔
28
29	if not tf.executing_eagerly():	2✔
30	raise ValueError(
31	"TensorFlowModel requires TensorFlow Eager Mode"
32	) # pragma: no cover
33
34	device = get_device(device)	2✔
35	with device:	2✔
36	dummy = ep.tensorflow.zeros(0)	2✔
37	super().__init__(model, bounds, dummy, preprocessing=preprocessing)	2✔
38
39	self.device = device	2✔
40
41	@property	10✔
42	def data_format(self) -> str:	10✔
43	import tensorflow as tf	2✔
44
45	return cast(str, tf.keras.backend.image_data_format())	2✔

bethgelab / foolbox / 8137716344

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