



"""simple docstring"""





import time
from contextlib import contextmanager
from pathlib import Path

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


lowerCamelCase      =		"""__DUMMY_TRANSFORMERS_USER__"""
lowerCamelCase      =		"""Dummy User"""
lowerCamelCase      =		"""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"""

lowerCamelCase      =		"""https://hub-ci.huggingface.co"""
lowerCamelCase      =		CI_HUB_ENDPOINT + """/datasets/{repo_id}/resolve/{revision}/{path}"""
lowerCamelCase      =		CI_HUB_ENDPOINT + """/{repo_id}/resolve/{revision}/{filename}"""
lowerCamelCase      =		Path("""~/.huggingface/hub_ci_token""").expanduser()
@pytest.fixture
def      a__			(   lowerCAmelCase__   ):
      monkeypatch.setattr(
          "huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE"			,    lowerCAmelCase__   )
@pytest.fixture
def      a__			(   lowerCAmelCase__   ):
      monkeypatch.setattr("datasets.config.HF_ENDPOINT"			,    lowerCAmelCase__   )
      monkeypatch.setattr("datasets.config.HUB_DATASETS_URL"			,    lowerCAmelCase__   )
@pytest.fixture
def      a__			(   lowerCAmelCase__   ):
      monkeypatch.setattr("huggingface_hub.hf_api.HfFolder.path_token"			,    lowerCAmelCase__   )
@pytest.fixture
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__   ):
      HfFolder.save_token(lowerCAmelCase__   )
      yield
      HfFolder.delete_token()
@pytest.fixture(scope="session"   )
def      a__			(   ):
      return HfApi(endpoint=lowerCAmelCase__   )
@pytest.fixture(scope="session"   )
def      a__			(   lowerCAmelCase__   ):
      UpperCAmelCase_    				=							HfFolder.get_token()
      HfFolder.save_token(lowerCAmelCase__   )
      yield CI_HUB_USER_TOKEN
      if previous_token is not None:
            HfFolder.save_token(lowerCAmelCase__   )
@pytest.fixture
def      a__			(   lowerCAmelCase__   ):
      def _cleanup_repo(lowerCAmelCase__   ):
            hf_api.delete_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"   )

      return _cleanup_repo
@pytest.fixture
def      a__			(   lowerCAmelCase__   ):
      @contextmanager
      def _temporary_repo(lowerCAmelCase__   ):
            try:
                  yield repo_id
            finally:
                  cleanup_repo(lowerCAmelCase__   )

      return _temporary_repo
@pytest.fixture(scope="session"   )
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      UpperCAmelCase_    				=							f"""repo_txt_data-{int(time.time() * 10e3   )}"""
      UpperCAmelCase_    				=							f"""{CI_HUB_USER}/{repo_name}"""
      hf_api.create_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"			,    private=lowerCAmelCase__   )
      hf_api.upload_file(
          token=lowerCAmelCase__			,    path_or_fileobj=str(lowerCAmelCase__   )			,    path_in_repo="data/text_data.txt"			,    repo_id=lowerCAmelCase__			,    repo_type="dataset"			,    )
      yield repo_id
      try:
            hf_api.delete_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"   )
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass
@pytest.fixture()
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      return hf_private_dataset_repo_txt_data_
@pytest.fixture(scope="session"   )
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      UpperCAmelCase_    				=							f"""repo_zipped_txt_data-{int(time.time() * 10e3   )}"""
      UpperCAmelCase_    				=							f"""{CI_HUB_USER}/{repo_name}"""
      hf_api.create_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"			,    private=lowerCAmelCase__   )
      hf_api.upload_file(
          token=lowerCAmelCase__			,    path_or_fileobj=str(lowerCAmelCase__   )			,    path_in_repo="data.zip"			,    repo_id=lowerCAmelCase__			,    repo_type="dataset"			,    )
      yield repo_id
      try:
            hf_api.delete_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"   )
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass
@pytest.fixture()
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      return hf_private_dataset_repo_zipped_txt_data_
@pytest.fixture(scope="session"   )
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      UpperCAmelCase_    				=							f"""repo_zipped_img_data-{int(time.time() * 10e3   )}"""
      UpperCAmelCase_    				=							f"""{CI_HUB_USER}/{repo_name}"""
      hf_api.create_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"			,    private=lowerCAmelCase__   )
      hf_api.upload_file(
          token=lowerCAmelCase__			,    path_or_fileobj=str(lowerCAmelCase__   )			,    path_in_repo="data.zip"			,    repo_id=lowerCAmelCase__			,    repo_type="dataset"			,    )
      yield repo_id
      try:
            hf_api.delete_repo(lowerCAmelCase__			,    token=lowerCAmelCase__			,    repo_type="dataset"   )
      except (requests.exceptions.HTTPError, ValueError):  # catch http error and token invalid error
            pass


@pytest.fixture()
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      return hf_private_dataset_repo_zipped_img_data_









"""simple docstring"""





import colorsys

from PIL import Image  # type: ignore
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      UpperCAmelCase_    				=							x
      UpperCAmelCase_    				=							y
      for step in range(lowerCAmelCase__   ):  # noqa: B007
            UpperCAmelCase_    				=							a * a - b * b + x
            UpperCAmelCase_    				=							2 * a * b + y
            UpperCAmelCase_    				=							a_new

            # divergence happens for all complex number with an absolute value
            # greater than 4
            if a * a + b * b > 4:
                  break
      return step / (max_step - 1)
def      a__			(   lowerCAmelCase__   ):
      if distance == 1:
            return (0, 0, 0)
      else:
            return (255, 255, 255)
def      a__			(   lowerCAmelCase__   ):
      if distance == 1:
            return (0, 0, 0)
      else:
            return tuple(round(i * 255   ) for i in colorsys.hsv_to_rgb(lowerCAmelCase__			,    1			,    1   )   )
def      a__			(   lowerCAmelCase__ = 800			,    lowerCAmelCase__ = 600			,    lowerCAmelCase__ = -0.6			,    lowerCAmelCase__ = 0			,    lowerCAmelCase__ = 3.2			,    lowerCAmelCase__ = 50			,    lowerCAmelCase__ = True			,    ):
      UpperCAmelCase_    				=							Image.new("RGB"			,    (image_width, image_height)   )
      UpperCAmelCase_    				=							img.load()

      # loop through the image-coordinates
      for image_x in range(lowerCAmelCase__   ):
            for image_y in range(lowerCAmelCase__   ):
                  # determine the figure-coordinates based on the image-coordinates
                  UpperCAmelCase_    				=							figure_width / image_width * image_height
                  UpperCAmelCase_    				=							figure_center_x + (image_x / image_width - 0.5) * figure_width
                  UpperCAmelCase_    				=							figure_center_y + (image_y / image_height - 0.5) * figure_height

                  UpperCAmelCase_    				=							get_distance(lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   )

                  # color the corresponding pixel based on the selected coloring-function
                  if use_distance_color_coding:
                        UpperCAmelCase_    				=							get_color_coded_rgb(lowerCAmelCase__   )
                  else:
                        UpperCAmelCase_    				=							get_black_and_white_rgb(lowerCAmelCase__   )

      return img


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  # colored version, full figure
  lowerCamelCase      =		get_image()

  # uncomment for colored version, different section, zoomed in
  # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
  # figure_width = 0.8)

  # uncomment for black and white version, full figure
  # img = get_image(use_distance_color_coding = False)

  # uncomment to save the image
  # img.save("mandelbrot.png")

  img.show()




