"""simple docstring"""


import csv

import tweepy

# Twitter API credentials
UpperCAmelCase__			=    """"""
UpperCAmelCase__			=    """"""
UpperCAmelCase__			=    """"""
UpperCAmelCase__			=    """"""






def      __UpperCAmelCase       (      lowercase		):







  """simple docstring"""
  # authorize twitter, initialize tweepy
  _UpperCAmelCase    			=   tweepy.OAuthHandler(lowercase ,lowercase		)
  auth.set_access_token(lowercase ,lowercase		)
  _UpperCAmelCase    			=   tweepy.API(lowercase		)

  # initialize a list to hold all the tweepy Tweets
  _UpperCAmelCase    			=   []

  # make initial request for most recent tweets (200 is the maximum allowed count)
  _UpperCAmelCase    			=   api.user_timeline(screen_name=lowercase ,count=2_00		)

  # save most recent tweets
  alltweets.extend(lowercase		)

  # save the id of the oldest tweet less one
  _UpperCAmelCase    			=   alltweets[-1].id - 1

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

    # all subsequent requests use the max_id param to prevent duplicates
    _UpperCAmelCase    			=   api.user_timeline(
        screen_name=lowercase ,count=2_00 ,max_id=lowercase		)

    # save most recent tweets
    alltweets.extend(lowercase		)

    # update the id of the oldest tweet less one
    _UpperCAmelCase    			=   alltweets[-1].id - 1

    print(f'''...{len(lowercase		)} tweets downloaded so far'''		)

  # transform the tweepy tweets into a 2D array that will populate the csv
  _UpperCAmelCase    			=   [[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:
    _UpperCAmelCase    			=   csv.writer(lowercase		)
    writer.writerow(["""id""", """created_at""", """text"""]		)
    writer.writerows(lowercase		)


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

"""simple docstring"""


import pytest

from datasets.utils.sharding import _distribute_shards, _number_of_shards_in_gen_kwargs, _split_gen_kwargs






@pytest.mark.parametrize(
    """kwargs, expected""" ,[
        ({"""num_shards""": 0, """max_num_jobs""": 1}, []),
        ({"""num_shards""": 10, """max_num_jobs""": 1}, [range(10		)]),
        ({"""num_shards""": 10, """max_num_jobs""": 10}, [range(lowercase ,i + 1		) for i in range(10		)]),
        ({"""num_shards""": 1, """max_num_jobs""": 10}, [range(1		)]),
        ({"""num_shards""": 10, """max_num_jobs""": 3}, [range(0 ,4		), range(4 ,7		), range(7 ,10		)]),
        ({"""num_shards""": 3, """max_num_jobs""": 10}, [range(0 ,1		), range(1 ,2		), range(2 ,3		)]),
    ] ,)
def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   _distribute_shards(**lowercase		)
  assert out == expected






@pytest.mark.parametrize(
    """gen_kwargs, max_num_jobs, expected""" ,[
        ({"""foo""": 0}, 10, [{"""foo""": 0}]),
        ({"""shards""": [0, 1, 2, 3]}, 1, [{"""shards""": [0, 1, 2, 3]}]),
        ({"""shards""": [0, 1, 2, 3]}, 4, [{"""shards""": [0]}, {"""shards""": [1]}, {"""shards""": [2]}, {"""shards""": [3]}]),
        ({"""shards""": [0, 1]}, 4, [{"""shards""": [0]}, {"""shards""": [1]}]),
        ({"""shards""": [0, 1, 2, 3]}, 2, [{"""shards""": [0, 1]}, {"""shards""": [2, 3]}]),
    ] ,)
def      __UpperCAmelCase       (      lowercase ,lowercase ,lowercase		):







  """simple docstring"""
  _UpperCAmelCase    			=   _split_gen_kwargs(lowercase ,lowercase		)
  assert out == expected






@pytest.mark.parametrize(
    """gen_kwargs, expected""" ,[
        ({"""foo""": 0}, 1),
        ({"""shards""": [0]}, 1),
        ({"""shards""": [0, 1, 2, 3]}, 4),
        ({"""shards""": [0, 1, 2, 3], """foo""": 0}, 4),
        ({"""shards""": [0, 1, 2, 3], """other""": (0, 1)}, 4),
        ({"""shards""": [0, 1, 2, 3], """shards2""": [0, 1]}, RuntimeError),
    ] ,)
def      __UpperCAmelCase       (      lowercase ,lowercase		):







  """simple docstring"""
  if expected is RuntimeError:
    with pytest.raises(lowercase		):
      _number_of_shards_in_gen_kwargs(lowercase		)
  else:
    _UpperCAmelCase    			=   _number_of_shards_in_gen_kwargs(lowercase		)
    assert out == expected
