




"""simple docstring"""






import csv

import tweepy

# Twitter API credentials
lowercase__     						=						""""""
lowercase__     						=						""""""
lowercase__     						=						""""""
lowercase__     						=						""""""







def      _snake_case			(				lowercase__		):
				# authorize twitter, initialize tweepy
				_lowerCamelCase     :			List[Any]    =    tweepy.OAuthHandler(lowercase__							,    lowercase__		)
				auth.set_access_token(lowercase__							,    lowercase__		)
				_lowerCamelCase     :			Tuple    =    tweepy.API(lowercase__		)

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

				# make initial request for most recent tweets (200 is the maximum allowed count)
				_lowerCamelCase     :			Any    =    api.user_timeline(screen_name=lowercase__							,    count=200		)

				# save most recent tweets
				alltweets.extend(lowercase__		)

				# save the id of the oldest tweet less one
				_lowerCamelCase     :			str    =    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
								_lowerCamelCase     :			List[str]    =    api.user_timeline(
								    screen_name=lowercase__							,    count=200							,    max_id=lowercase__		)

								# save most recent tweets
								alltweets.extend(lowercase__		)

								# update the id of the oldest tweet less one
								_lowerCamelCase     :			Tuple    =    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
				_lowerCamelCase     :			Tuple    =    [[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:
								_lowerCamelCase     :			List[str]    =    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""")



import copy
from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Audio, ClassLabel, Features
from .base import TaskTemplate







@dataclass(frozen=lowerCamelCase_      )
class        snake_case_   (lowerCamelCase_      ):
					UpperCAmelCase__					:    str          =			field(default='''audio-classification'''	,						metadata={'''include_in_asdict_even_if_is_default''': True}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''audio''': Audio()}      )
					UpperCAmelCase__					:    ClassVar[Features]          =			Features({'''labels''': ClassLabel}      )
					UpperCAmelCase__					:    str          =			"audio"
					UpperCAmelCase__					:    str          =			"labels"
					def  lowerCamelCase__(      self   :Optional[int]			,__snake_case   :int      )					->    str:
												if self.label_column not in features:
																			raise ValueError(F'Column {self.label_column} is not present in features.'      )
												if not isinstance(features[self.label_column]			,__snake_case      ):
																			raise ValueError(F'Column {self.label_column} is not a ClassLabel.'      )
												a__             =     copy.deepcopy(self      )
												a__             =     self.label_schema.copy()
												a__             =     features[self.label_column]
												a__             =     label_schema
												return task_template



					@property
					def  lowerCamelCase__(      self   :Dict      )					->    Dict[str, str]:
												return {
												    self.audio_column: "audio",
												    self.label_column: "labels",
												}




