




"""simple docstring"""






import time
from contextlib import contextmanager
from pathlib import Path

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


lowercase__  		=		'''__DUMMY_TRANSFORMERS_USER__'''
lowercase__  		=		'''Dummy User'''
lowercase__  		=		'''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'''

lowercase__  		=		'''https://hub-ci.huggingface.co'''
lowercase__  		=		CI_HUB_ENDPOINT + '''/datasets/{repo_id}/resolve/{revision}/{path}'''
lowercase__  		=		CI_HUB_ENDPOINT + '''/{repo_id}/resolve/{revision}/{filename}'''
lowercase__  		=		Path("""~/.huggingface/hub_ci_token""").expanduser()







@pytest.fixture
def   _snake_case    (       lowercase__	):
				monkeypatch.setattr(
				    'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'							,					lowercase__	)







@pytest.fixture
def   _snake_case    (       lowercase__	):
				monkeypatch.setattr('datasets.config.HF_ENDPOINT'							,					lowercase__	)
				monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'							,					lowercase__	)







@pytest.fixture
def   _snake_case    (       lowercase__	):
				monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'							,					lowercase__	)







@pytest.fixture
def   _snake_case    (       lowercase__							,					lowercase__	):
				HfFolder.save_token(lowercase__	)
				yield
				HfFolder.delete_token()







@pytest.fixture(scope='session'	)
def   _snake_case    (       ):
				return HfApi(endpoint=lowercase__	)







@pytest.fixture(scope='session'	)
def   _snake_case    (       lowercase__	):
				_lowerCamelCase  :    Union[str, Any]					=					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   _snake_case    (       lowercase__	):
				def _cleanup_repo(lowercase__	):
								hf_api.delete_repo(lowercase__							,					token=lowercase__							,					repo_type='dataset'	)

				return _cleanup_repo







@pytest.fixture
def   _snake_case    (       lowercase__	):
				@contextmanager
				def _temporary_repo(lowercase__	):
								try:
												yield repo_id
								finally:
												cleanup_repo(lowercase__	)

				return _temporary_repo







@pytest.fixture(scope='session'	)
def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				_lowerCamelCase  :    Optional[Any]					=					f'''repo_txt_data-{int(time.time() * 10E3	)}'''
				_lowerCamelCase  :    Any					=					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   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return hf_private_dataset_repo_txt_data_







@pytest.fixture(scope='session'	)
def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				_lowerCamelCase  :    Optional[int]					=					f'''repo_zipped_txt_data-{int(time.time() * 10E3	)}'''
				_lowerCamelCase  :    int					=					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   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return hf_private_dataset_repo_zipped_txt_data_







@pytest.fixture(scope='session'	)
def   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				_lowerCamelCase  :    Optional[Any]					=					f'''repo_zipped_img_data-{int(time.time() * 10E3	)}'''
				_lowerCamelCase  :    List[str]					=					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   _snake_case    (       lowercase__							,					lowercase__							,					lowercase__	):
				return hf_private_dataset_repo_zipped_img_data_









"""simple docstring"""






import copy
import os

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






class lowerCAmelCase__			:






			'''simple docstring'''



			def __init__(						self						):
							_lowerCamelCase  :    Tuple					=					''
							_lowerCamelCase  :    Any					=					''
							_lowerCamelCase  :    List[Any]					=					[]
							_lowerCamelCase  :    Tuple					=					0
							_lowerCamelCase  :    Dict					=					256
							_lowerCamelCase  :    Optional[Any]					=					0
							_lowerCamelCase  :    List[Any]					=					0
							_lowerCamelCase  :    int					=					0
							_lowerCamelCase  :    Dict					=					0
			def       A_					(						self						,   lowercase						):
							_lowerCamelCase  :    Any					=					cva.imread(lowercase						,   0						)
							_lowerCamelCase  :    Optional[int]					=					copy.deepcopy(self.img						)
							_lowerCamelCase,				_lowerCamelCase,				_lowerCamelCase  :    List[str]					=					plt.hist(self.img.ravel()						,   256						,   [0, 256]						,   label='x'						)
							_lowerCamelCase  :    Optional[int]					=					np.sum(lowercase						)
							for i in range(len(lowercase						)						):
											_lowerCamelCase  :    List[Any]					=					x[i] / self.k
											self.sk += prk
											_lowerCamelCase  :    int					=					(self.L - 1) * self.sk
											if self.rem != 0:
															_lowerCamelCase  :    Union[str, Any]					=					int(last % last						)
											_lowerCamelCase  :    int					=					int(last + 1 if self.rem >= 0.5 else last						)
											self.last_list.append(lowercase						)
											_lowerCamelCase  :    List[str]					=					int(np.ma.count(self.img						) / self.img[1].size						)
											_lowerCamelCase  :    int					=					self.img[1].size
							for i in range(self.number_of_cols						):
											for j in range(self.number_of_rows						):
															_lowerCamelCase  :    Optional[Any]					=					self.img[j][i]
															if num != self.last_list[num]:
																			_lowerCamelCase  :    Any					=					self.last_list[num]
							cva.imwrite('output_data/output.jpg'						,   self.img						)
			def       A_					(						self						):
							plt.hist(self.img.ravel()						,   256						,   [0, 256]						)






			def       A_					(						self						):
							cva.imshow('Output-Image'						,   self.img						)
							cva.imshow('Input-Image'						,   self.original_image						)
							cva.waitKey(5000						)
							cva.destroyAllWindows()


if __name__ == "__main__":
			lowercase__  		=		os.path.join(os.path.basename(__file__), """image_data/input.jpg""")
			lowercase__  		=		ConstantStretch()
			stretcher.stretch(file_path)
			stretcher.plot_histogram()
			stretcher.show_image()