

"""simple docstring"""


import doctest
import logging
import os
import unittest
from pathlib import Path
from typing import List, Union

import transformers
from transformers.testing_utils import require_tf, require_torch, slow


__A						       =      logging.getLogger()





@unittest.skip("""Temporarily disable the doc tests."""  )
@require_torch
@require_tf
@slow
class    snake_case     (    unittest.TestCase  ):

				def 							lowercase_					(     self							:    List[Any]					,  UpperCamelCase__							:    Path					,  UpperCamelCase__							:    Union[str, None] = None					,  UpperCamelCase__							:    Union[List[str], None] = None					,  UpperCamelCase__							:    Union[str, List[str], None] = None					,  UpperCamelCase__							:    bool = True					,  )->       Tuple:



						'''simple docstring'''


						__lowerCAmelCase:	List[Any]   				=      [file for file in os.listdir(UpperCamelCase__) if os.path.isfile(os.path.join(UpperCamelCase__					,  UpperCamelCase__))]

						if identifier is not None:
								__lowerCAmelCase:	List[Any]   				=      [file for file in files if identifier in file]

						if n_identifier is not None:
								if isinstance(UpperCamelCase__					,  UpperCamelCase__):
										for n_ in n_identifier:
												__lowerCAmelCase:	Any   				=      [file for file in files if n_ not in file]
								else:
										__lowerCAmelCase:	List[Any]   				=      [file for file in files if n_identifier not in file]

						__lowerCAmelCase:	Tuple   				=      ignore_files or []
						ignore_files.append("__init__.py")
						__lowerCAmelCase:	Tuple   				=      [file for file in files if file not in ignore_files]

						for file in files:
								# Open all files
								print("Testing"					,  UpperCamelCase__)

								if only_modules:
										__lowerCAmelCase:	Optional[Any]   				=      file.split(".")[0]
										try:
												__lowerCAmelCase:	Optional[Any]   				=      getattr(UpperCamelCase__					,  UpperCamelCase__)
												__lowerCAmelCase:	List[Any]   				=      doctest.DocTestSuite(UpperCamelCase__)
												__lowerCAmelCase:	List[str]   				=      unittest.TextTestRunner().run(UpperCamelCase__)
												self.assertIs(len(result.failures)					,  0)
										except AttributeError:
												logger.info(f"{module_identifier} is not a module.")
								else:
										__lowerCAmelCase:	str   				=      doctest.testfile(str(".." / directory / file)					,  optionflags=doctest.ELLIPSIS)
										self.assertIs(result.failed					,  0)

				def 							lowercase_					(     self							:    str)->       Tuple:



						'''simple docstring'''


						__lowerCAmelCase:	List[Any]   				=      Path("src/transformers")
						__lowerCAmelCase:	List[str]   				=      "modeling"
						__lowerCAmelCase:	List[Any]   				=      [
						    "modeling_ctrl.py",
						    "modeling_tf_ctrl.py",
						]
						self.analyze_directory(UpperCamelCase__					,  identifier=UpperCamelCase__					,  ignore_files=UpperCamelCase__)

				def 							lowercase_					(     self							:    Optional[Any])->       Union[str, Any]:



						'''simple docstring'''


						__lowerCAmelCase:	Union[str, Any]   				=      Path("src/transformers")
						__lowerCAmelCase:	Dict   				=      "tokenization"
						self.analyze_directory(UpperCamelCase__					,  identifier=UpperCamelCase__)

				def 							lowercase_					(     self							:    Any)->       Union[str, Any]:



						'''simple docstring'''


						__lowerCAmelCase:	Optional[Any]   				=      Path("src/transformers")
						__lowerCAmelCase:	Any   				=      "configuration"
						self.analyze_directory(UpperCamelCase__					,  identifier=UpperCamelCase__)

				def 							lowercase_					(     self							:    Optional[Any])->       Optional[int]:



						'''simple docstring'''


						__lowerCAmelCase:	Tuple   				=      Path("src/transformers")
						__lowerCAmelCase:	Tuple   				=      ["configuration", "modeling", "tokenization"]
						self.analyze_directory(UpperCamelCase__					,  n_identifier=UpperCamelCase__)




				def 							lowercase_					(     self							:    Optional[int])->       Any:



						'''simple docstring'''


						__lowerCAmelCase:	str   				=      Path("docs/source")
						__lowerCAmelCase:	Any   				=      ["favicon.ico"]
						self.analyze_directory(UpperCamelCase__					,  ignore_files=UpperCamelCase__					,  only_modules=UpperCamelCase__)





"""simple docstring"""


from pathlib import Path

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






def    a__   (   __SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE			)     ->     np.ndarray:
		__lowerCAmelCase:	List[Any]   				=      cva.getAffineTransform(__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE			)
		return cva.warpAffine(__SCREAMING_SNAKE_CASE ,			__SCREAMING_SNAKE_CASE ,			(rows, cols)			)


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

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

			# add all rotated images in a list
			__A						       =      [
			    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
			__A						       =      plt.figure(1)
			__A						       =      ["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()


