

"""simple docstring"""





from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_SCREAMING_SNAKE_CASE       :  Dict        = logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE       :  List[str]        = {
    """facebook/convnext-tiny-224""": """https://huggingface.co/facebook/convnext-tiny-224/resolve/main/config.json""",
    # See all ConvNeXT models at https://huggingface.co/models?filter=convnext
}

class     __a   (      snake_case__,    snake_case__    ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_						     =						'convnext'






			def __init__(							self     :					Optional[Any]						,  lowercase_     :					Union[str, Any]=3						,  lowercase_     :					Optional[Any]=4						,  lowercase_     :					str=4						,  lowercase_     :					Dict=None						,  lowercase_     :					List[str]=None						,  lowercase_     :					List[Any]="gelu"						,  lowercase_     :					int=0.0_2						,  lowercase_     :					Optional[Any]=1e-12						,  lowercase_     :					Optional[Any]=1e-6						,  lowercase_     :					List[str]=0.0						,  lowercase_     :					List[Any]=224						,  lowercase_     :					Union[str, Any]=None						,  lowercase_     :					Optional[Any]=None						,  **lowercase_     :					Dict						,  ):
								super().__init__(**lowercase_						)

								UpperCamelCase__		:    str         =num_channels
								UpperCamelCase__		:    Tuple         =patch_size
								UpperCamelCase__		:    int         =num_stages
								UpperCamelCase__		:    Optional[int]         =[96, 192, 384, 768] if hidden_sizes is None else hidden_sizes
								UpperCamelCase__		:    List[str]         =[3, 3, 9, 3] if depths is None else depths
								UpperCamelCase__		:    Dict         =hidden_act
								UpperCamelCase__		:    Optional[Any]         =initializer_range
								UpperCamelCase__		:    Optional[int]         =layer_norm_eps
								UpperCamelCase__		:    Dict         =layer_scale_init_value
								UpperCamelCase__		:    Tuple         =drop_path_rate
								UpperCamelCase__		:    Union[str, Any]         =image_size
								UpperCamelCase__		:    str         =['''stem'''] + [f'''stage{idx}''' for idx in range(1						,  len(self.depths						) + 1						)]
								UpperCamelCase__		:    List[Any]         =get_aligned_output_features_output_indices(
								    out_features=lowercase_						,  out_indices=lowercase_						,  stage_names=self.stage_names						)



class     __a   (      snake_case__    ):

			"""simple docstring"""

			SCREAMING_SNAKE_CASE_						     =						version.parse('1.11'    )






			@property
			def    _lowerCAmelCase			(							self     :					int						):
								return OrderedDict(
								    [
								        ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
								    ]						)






			@property
			def    _lowerCAmelCase			(							self     :					Tuple						):
								return 1e-5





"""simple docstring"""





import unittest

from transformers.image_processing_utils import get_size_dict

class     __a   (      unittest.TestCase    ):

			"""simple docstring"""

			def    _lowerCAmelCase			(							self     :					Dict						):
								# Test a dict with the wrong keys raises an error
								UpperCamelCase__		:    str         ={'''wrong_key''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    Any         ={'''height''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								UpperCamelCase__		:    List[str]         ={'''width''': 224, '''shortest_edge''': 224}
								with self.assertRaises(lowercase_						):
													get_size_dict(lowercase_						)

								# Test a dict with the correct keys is returned as is
								UpperCamelCase__		:    int         ={'''height''': 224, '''width''': 224}
								UpperCamelCase__		:    str         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  lowercase_						)

								UpperCamelCase__		:    List[Any]         ={'''shortest_edge''': 224}
								UpperCamelCase__		:    List[str]         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								UpperCamelCase__		:    List[Any]         ={'''longest_edge''': 224, '''shortest_edge''': 224}
								UpperCamelCase__		:    Tuple         =get_size_dict(lowercase_						)
								self.assertEqual(lowercase_						,  {'''longest_edge''': 224, '''shortest_edge''': 224}						)

								# Test a single int value which  represents (size, size)
								UpperCamelCase__		:    Optional[int]         =get_size_dict(224						)
								self.assertEqual(lowercase_						,  {'''height''': 224, '''width''': 224}						)

								# Test a single int value which represents the shortest edge
								UpperCamelCase__		:    str         =get_size_dict(224						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224}						)

								# Test a tuple of ints which represents (height, width)
								UpperCamelCase__		:    List[str]         =get_size_dict((150, 200)						)
								self.assertEqual(lowercase_						,  {'''height''': 150, '''width''': 200}						)

								# Test a tuple of ints which represents (width, height)
								UpperCamelCase__		:    Optional[int]         =get_size_dict((150, 200)						,  height_width_order=lowercase_						)
								self.assertEqual(lowercase_						,  {'''height''': 200, '''width''': 150}						)

								# Test an int representing the shortest edge and max_size which represents the longest edge
								UpperCamelCase__		:    int         =get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)
								self.assertEqual(lowercase_						,  {'''shortest_edge''': 224, '''longest_edge''': 256}						)

								# Test int with default_to_square=True and max_size fails
								with self.assertRaises(lowercase_						):
													get_size_dict(224						,  max_size=256						,  default_to_square=lowercase_						)


