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/numpy.py

from typing import TypeVar, Callable, Optional
import eagerpy as ep

from ..types import Bounds
from ..types import BoundsInput

from .base import Model


T = TypeVar("T")


class NumPyModel(Model):
    def __init__(
        self, model: Callable, bounds: BoundsInput, data_format: Optional[str] = None
    ):
        self._model = model
        self._bounds = Bounds(*bounds)
        if data_format is not None:
            if data_format not in ["channels_first", "channels_last"]:
                raise ValueError(
                    f"expected data_format to be 'channels_first' or 'channels_last', got {data_format}"
                )
        self._data_format = data_format

    @property
    def bounds(self) -> Bounds:
        return self._bounds

    def __call__(self, inputs: T) -> T:
        x, restore_type = ep.astensor_(inputs)
        y = self._model(x.numpy())
        z = ep.from_numpy(x, y)
        return restore_type(z)

    @property
    def data_format(self) -> str:
        if self._data_format is None:
            raise AttributeError(  # AttributeError -> hasattr returns False
                "please specify data_format when initializing the NumPyModel"
            )
        return self._data_format

1	from typing import TypeVar, Callable, Optional	10✔
2	import eagerpy as ep	10✔
3
4	from ..types import Bounds	10✔
5	from ..types import BoundsInput	10✔
6
7	from .base import Model	10✔
8
9
10	T = TypeVar("T")	10✔
11
12
13	class NumPyModel(Model):	10✔
14	def __init__(	10✔
15	self, model: Callable, bounds: BoundsInput, data_format: Optional[str] = None
16	):
17	self._model = model	10✔
18	self._bounds = Bounds(*bounds)	10✔
19	if data_format is not None:	10✔
20	if data_format not in ["channels_first", "channels_last"]:	10✔
21	raise ValueError(	10✔
22	f"expected data_format to be 'channels_first' or 'channels_last', got {data_format}"
23	)
24	self._data_format = data_format	10✔
25
26	@property	10✔
27	def bounds(self) -> Bounds:	10✔
28	return self._bounds	10✔
29
30	def __call__(self, inputs: T) -> T:	10✔
31	x, restore_type = ep.astensor_(inputs)	2✔
32	y = self._model(x.numpy())	2✔
33	z = ep.from_numpy(x, y)	2✔
34	return restore_type(z)	2✔
35
36	@property	10✔
37	def data_format(self) -> str:	10✔
38	if self._data_format is None:	10✔
39	raise AttributeError( # AttributeError -> hasattr returns False	10✔
40	"please specify data_format when initializing the NumPyModel"
41	)
42	return self._data_format	2✔

bethgelab / foolbox / 8137716344

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