





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     lowerCamelCase_	(      lowerCAmelCase:	Union[str, Any]				)->		Union[str, Any]:
  monkeypatch.setattr(
      'huggingface_hub.file_download.HUGGINGFACE_CO_URL_TEMPLATE'    ,							lowerCAmelCase				)


@pytest.fixture
def     lowerCamelCase_	(      lowerCAmelCase:	Optional[Any]				)->		Any:
  monkeypatch.setattr('datasets.config.HF_ENDPOINT'    ,							lowerCAmelCase				)
  monkeypatch.setattr('datasets.config.HUB_DATASETS_URL'    ,							lowerCAmelCase				)


@pytest.fixture
def     lowerCamelCase_	(      lowerCAmelCase:	List[Any]				)->		List[Any]:
  monkeypatch.setattr('huggingface_hub.hf_api.HfFolder.path_token'    ,							lowerCAmelCase				)


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


@pytest.fixture(scope='session'				)
def     lowerCamelCase_	(      )->		Tuple:
  return HfApi(endpoint=lowerCAmelCase				)


@pytest.fixture(scope='session'				)
def     lowerCamelCase_	(      lowerCAmelCase:	HfApi				)->		List[str]:
  _snake_case   :				List[Any]														=	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     lowerCamelCase_	(      lowerCAmelCase:	int				)->		int:
  def _cleanup_repo(lowerCAmelCase:	Tuple				):
    hf_api.delete_repo(lowerCAmelCase    ,							token=lowerCAmelCase    ,							repo_type='dataset'				)

  return _cleanup_repo


@pytest.fixture
def     lowerCamelCase_	(      lowerCAmelCase:	Any				)->		int:
  @contextmanager
  def _temporary_repo(lowerCAmelCase:	Dict				):
    try:
      yield repo_id
    finally:
      cleanup_repo(lowerCAmelCase				)

  return _temporary_repo


@pytest.fixture(scope='session'				)
def     lowerCamelCase_	(      lowerCAmelCase:	HfApi    ,							lowerCAmelCase:	Any    ,							lowerCAmelCase:	List[str]				)->		Optional[int]:
  _snake_case   :				Dict														=	F"""repo_txt_data-{int(time.time() * 10E3				)}"""
  _snake_case   :				Optional[int]														=	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     lowerCamelCase_	(      lowerCAmelCase:	int    ,							lowerCAmelCase:	List[str]    ,							lowerCAmelCase:	List[str]				)->		str:
  return hf_private_dataset_repo_txt_data_


@pytest.fixture(scope='session'				)
def     lowerCamelCase_	(      lowerCAmelCase:	HfApi    ,							lowerCAmelCase:	List[Any]    ,							lowerCAmelCase:	Any				)->		List[str]:
  _snake_case   :				Dict														=	F"""repo_zipped_txt_data-{int(time.time() * 10E3				)}"""
  _snake_case   :				Any														=	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     lowerCamelCase_	(      lowerCAmelCase:	str    ,							lowerCAmelCase:	List[Any]    ,							lowerCAmelCase:	int				)->		List[Any]:
  return hf_private_dataset_repo_zipped_txt_data_


@pytest.fixture(scope='session'				)
def     lowerCamelCase_	(      lowerCAmelCase:	HfApi    ,							lowerCAmelCase:	str    ,							lowerCAmelCase:	Optional[int]				)->		int:
  _snake_case   :				Any														=	F"""repo_zipped_img_data-{int(time.time() * 10E3				)}"""
  _snake_case   :				Dict														=	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     lowerCamelCase_	(      lowerCAmelCase:	str    ,							lowerCAmelCase:	List[str]    ,							lowerCAmelCase:	Optional[int]				)->		Dict:
  return hf_private_dataset_repo_zipped_img_data_











import csv

import tweepy

# Twitter API credentials
lowerCAmelCase_						   =    """"""
lowerCAmelCase_						   =    """"""
lowerCAmelCase_						   =    """"""
lowerCAmelCase_						   =    """"""


def     lowerCamelCase_	(      lowerCAmelCase:	str				)->		None:
  # authorize twitter, initialize tweepy
  _snake_case   :				Optional[Any]														=	tweepy.OAuthHandler(lowerCAmelCase    ,							lowerCAmelCase				)
  auth.set_access_token(lowerCAmelCase    ,							lowerCAmelCase				)
  _snake_case   :				List[Any]														=	tweepy.API(lowerCAmelCase				)

  # initialize a list to hold all the tweepy Tweets
  _snake_case   :				Any														=	[]

  # make initial request for most recent tweets (200 is the maximum allowed count)
  _snake_case   :				List[str]														=	api.user_timeline(screen_name=lowerCAmelCase    ,							count=2_00				)

  # save most recent tweets
  alltweets.extend(lowerCAmelCase				)

  # save the id of the oldest tweet less one
  _snake_case   :				List[Any]														=	alltweets[-1].id - 1

  # keep grabbing tweets until there are no tweets left to grab
  while len(lowerCAmelCase				) > 0:
    print(F"""getting tweets before {oldest}"""				)

    # all subsequent requests use the max_id param to prevent duplicates
    _snake_case   :				Tuple														=	api.user_timeline(
        screen_name=lowerCAmelCase    ,							count=2_00    ,							max_id=lowerCAmelCase				)

    # save most recent tweets
    alltweets.extend(lowerCAmelCase				)

    # update the id of the oldest tweet less one
    _snake_case   :				List[str]														=	alltweets[-1].id - 1

    print(F"""...{len(lowerCAmelCase				)} tweets downloaded so far"""				)

  # transform the tweepy tweets into a 2D array that will populate the csv
  _snake_case   :				int														=	[[tweet.id_str, tweet.created_at, tweet.text] for tweet in alltweets]

  # write the csv
  with open(F"""new_{screen_name}_tweets.csv"""    ,							'w'				) as f:
    _snake_case   :				Any														=	csv.writer(lowerCAmelCase				)
    writer.writerow(['id', 'created_at', 'text']				)
    writer.writerows(lowerCAmelCase				)


if __name__ == "__main__":
      # pass in the username of the account you want to download
      get_all_tweets("""FirePing32""")




