
import time
from contextlib import contextmanager
from pathlib import Path

import pytest
import requests
from huggingface_hub.hf_api import HfApi, HfFolder


_lowerCamelCase	:    int          =      '''__DUMMY_TRANSFORMERS_USER__'''
_lowerCamelCase	:    Any          =      '''Dummy User'''
_lowerCamelCase	:    List[Any]          =      '''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'''

_lowerCamelCase	:    List[Any]          =      '''https://hub-ci.huggingface.co'''
_lowerCamelCase	:    Tuple          =      CI_HUB_ENDPOINT + '''/datasets/{repo_id}/resolve/{revision}/{path}'''
_lowerCamelCase	:    List[str]          =      CI_HUB_ENDPOINT + '''/{repo_id}/resolve/{revision}/{filename}'''
_lowerCamelCase	:    Tuple          =      Path('''~/.huggingface/hub_ci_token''').expanduser()






@pytest.fixture
def 	a_		(	__lowercase       :     List[Any]			)			->  str:
			monkeypatch.setattr(
			    'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'	, __lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     List[str]			)			->  Tuple:
			monkeypatch.setattr('datasets.config.HF_ENDPOINT'	, __lowercase			)
			monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'	, __lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     Optional[Any]			)			->  Tuple:
			monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'	, __lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     List[str]	, __lowercase       :     Dict			)			->  Optional[Any]:
			HfFolder.save_token(__lowercase			)
			yield
			HfFolder.delete_token()






@pytest.fixture(scope='session'			)
def 	a_		(	)			->  Optional[int]:
			return HfApi(endpoint=__lowercase			)






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi			)			->  List[Any]:
			_snake_case          =      HfFolder.get_token()
			HfFolder.save_token(__lowercase			)
			yield CI_HUB_USER_TOKEN
			if previous_token is not None:
						HfFolder.save_token(__lowercase			)






@pytest.fixture
def 	a_		(	__lowercase       :     Any			)			->  List[Any]:
			def _cleanup_repo(__lowercase       :     str			):
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)

			return _cleanup_repo






@pytest.fixture
def 	a_		(	__lowercase       :     str			)			->  List[str]:
			@contextmanager
			def _temporary_repo(__lowercase       :     int			):
						try:
									yield repo_id
						finally:
									cleanup_repo(__lowercase			)

			return _temporary_repo






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi	, __lowercase       :     str	, __lowercase       :     Tuple			)			->  Optional[int]:
			_snake_case          =      f'''repo_txt_data-{int(time.time() * 10E3			)}'''
			_snake_case          =      f'''{CI_HUB_USER}/{repo_name}'''
			hf_api.create_repo(__lowercase	, token=__lowercase	, repo_type='dataset'	, private=__lowercase			)
			hf_api.upload_file(
			    token=__lowercase	, path_or_fileobj=str(__lowercase			)	, path_in_repo='data/text_data.txt'	, repo_id=__lowercase	, repo_type='dataset'	, )
			yield repo_id
			try:
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)
			except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
						pass






@pytest.fixture()
def 	a_		(	__lowercase       :     Optional[int]	, __lowercase       :     Union[str, Any]	, __lowercase       :     Optional[Any]			)			->  Dict:
			return hf_private_dataset_repo_txt_data_






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi	, __lowercase       :     Dict	, __lowercase       :     Any			)			->  Tuple:
			_snake_case          =      f'''repo_zipped_txt_data-{int(time.time() * 10E3			)}'''
			_snake_case          =      f'''{CI_HUB_USER}/{repo_name}'''
			hf_api.create_repo(__lowercase	, token=__lowercase	, repo_type='dataset'	, private=__lowercase			)
			hf_api.upload_file(
			    token=__lowercase	, path_or_fileobj=str(__lowercase			)	, path_in_repo='data.zip'	, repo_id=__lowercase	, repo_type='dataset'	, )
			yield repo_id
			try:
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)
			except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
						pass






@pytest.fixture()
def 	a_		(	__lowercase       :     int	, __lowercase       :     Tuple	, __lowercase       :     List[Any]			)			->  Dict:
			return hf_private_dataset_repo_zipped_txt_data_






@pytest.fixture(scope='session'			)
def 	a_		(	__lowercase       :     HfApi	, __lowercase       :     List[str]	, __lowercase       :     int			)			->  Optional[Any]:
			_snake_case          =      f'''repo_zipped_img_data-{int(time.time() * 10E3			)}'''
			_snake_case          =      f'''{CI_HUB_USER}/{repo_name}'''
			hf_api.create_repo(__lowercase	, token=__lowercase	, repo_type='dataset'	, private=__lowercase			)
			hf_api.upload_file(
			    token=__lowercase	, path_or_fileobj=str(__lowercase			)	, path_in_repo='data.zip'	, repo_id=__lowercase	, repo_type='dataset'	, )
			yield repo_id
			try:
						hf_api.delete_repo(__lowercase	, token=__lowercase	, repo_type='dataset'			)
			except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
						pass






@pytest.fixture()
def 	a_		(	__lowercase       :     Dict	, __lowercase       :     str	, __lowercase       :     Optional[int]			)			->  str:
			return hf_private_dataset_repo_zipped_img_data_

from pathlib import Path

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






def 	a_		(	__lowercase       :     np.ndarray	, __lowercase       :     np.ndarray	, __lowercase       :     np.ndarray	, __lowercase       :     int	, __lowercase       :     int			)			->  np.ndarray:
			_snake_case          =      cva.getAffineTransform(__lowercase	, __lowercase			)
			return cva.warpAffine(__lowercase	, __lowercase	, (rows, cols)			)


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

			# set different points to rotate image
			_lowerCamelCase	:    str          =      np.array([[50, 50], [200, 50], [50, 200]], np.floataa)
			_lowerCamelCase	:    Optional[Any]          =      np.array([[10, 100], [200, 50], [100, 250]], np.floataa)
			_lowerCamelCase	:    List[str]          =      np.array([[50, 50], [150, 50], [120, 200]], np.floataa)
			_lowerCamelCase	:    Dict          =      np.array([[10, 100], [80, 50], [180, 250]], np.floataa)

			# add all rotated images in a list
			_lowerCamelCase	:    int          =      [
			    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
			_lowerCamelCase	:    Any          =      plt.figure(1)
			_lowerCamelCase	:    List[Any]          =      ['''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=0.0_5, right=1.0, top=0.9_5)
			plt.show()