
'''simple docstring'''



from pathlib import Path

import cva
import numpy as np
from matplotlib import pyplot as plt


def A				(__lowerCamelCase				:np.ndarray			,     __lowerCamelCase				:np.ndarray			,     __lowerCamelCase				:np.ndarray			,     __lowerCamelCase				:int			,     __lowerCamelCase				:int		):
						_lowerCAmelCase  						=			cva.getAffineTransform(UpperCAmelCase_			,     UpperCAmelCase_		)
						return cva.warpAffine(UpperCAmelCase_			,     UpperCAmelCase_			,     (rows, cols)		)


if __name__ == "__main__":
						# read original image
						_lowercase       =		cva.imread(
						    str(Path(__file__).resolve().parent.parent / """image_data""" / """lena.jpg""")
						)
						# turn image in gray scale value
						_lowercase       =		cva.cvtColor(image, cva.COLOR_BGR2GRAY)
						# get image shape
						_lowercase       =		gray_img.shape

						# set different points to rotate image
						_lowercase       =		np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
						_lowercase       =		np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
						_lowercase       =		np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
						_lowercase       =		np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

						# add all rotated images in a list
						_lowercase       =		[
						    gray_img,
						    get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
						    get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
						    get_rotation(gray_img, ptsa, ptsa, img_rows, img_cols),
						]

						# plot different image rotations
						_lowercase       =		plt.figure(1)
						_lowercase       =		["Original", "Rotation 1", "Rotation 2", "Rotation 3"]
						for i, image in enumerate(images):
												plt.subplot(2, 2, i + 1), plt.imshow(image, """gray""")
												plt.title(titles[i])
												plt.axis("""off""")
												plt.subplots_adjust(left=0.0, bottom=0.05, right=1.0, top=0.95)
						plt.show()


'''simple docstring'''



import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
_lowercase    =		"""src/transformers"""


# This is to make sure the transformers module imported is the one in the repo.
_lowercase    =		direct_transformers_import(PATH_TO_TRANSFORMERS)

_lowercase    =		transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
_lowercase    =		re.compile(R"""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


_lowercase    =		{
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}


def A				(__lowerCamelCase				:str		):
						_lowerCAmelCase  						=			None

						# source code of `config_class`
						_lowerCAmelCase  						=			inspect.getsource(__lowerCamelCase		)
						_lowerCAmelCase  						=			_re_checkpoint.findall(__lowerCamelCase		)

						# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
						# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
						for ckpt_name, ckpt_link in checkpoints:
												# allow the link to end with `/`
												if ckpt_link.endswith("""/"""		):
																		_lowerCAmelCase  						=			ckpt_link[:-1]

												# verify the checkpoint name corresponds to the checkpoint link
												_lowerCAmelCase  						=			f'https://huggingface.co/{ckpt_name}'
												if ckpt_link == ckpt_link_from_name:
																		_lowerCAmelCase  						=			ckpt_name
																		break

						return checkpoint


def A				():
						_lowerCAmelCase  						=			[]

						for config_class in list(CONFIG_MAPPING.values()		):
												# Skip deprecated models
												if "models.deprecated" in config_class.__module__:
																		continue
												_lowerCAmelCase  						=			get_checkpoint_from_config_class(__lowerCamelCase		)

												_lowerCAmelCase  						=			config_class.__name__
												if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																		configs_without_checkpoint.append(__lowerCamelCase		)

						if len(__lowerCamelCase		) > 0:
												_lowerCAmelCase  						=			"""\n""".join(sorted(__lowerCamelCase		)		)
												raise ValueError(f'The following configurations don\'t contain any valid checkpoint:\n{message}'		)


if __name__ == "__main__":
						check_config_docstrings_have_checkpoints()
