




import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a													=			logging.get_logger(__name__)

a													=			{"vocab_file": "vocab.json"}

a													=			{
    "vocab_file": {
        "mgp-str": "https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json",
    }
}

a													=			{"mgp-str": 27}




class       _A				(		__lowercase     ):
		__a					    =       VOCAB_FILES_NAMES
		__a					    =       PRETRAINED_VOCAB_FILES_MAP
		__a					    =       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES






		def __init__(    self						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE="[GO]"						,		_SCREAMING_SNAKE_CASE="[GO]"						,		_SCREAMING_SNAKE_CASE="[s]"						,		_SCREAMING_SNAKE_CASE="[GO]"						,		**_SCREAMING_SNAKE_CASE			):
								super().__init__(
								    unk_token=_SCREAMING_SNAKE_CASE						,		bos_token=_SCREAMING_SNAKE_CASE						,		eos_token=_SCREAMING_SNAKE_CASE						,		pad_token=_SCREAMING_SNAKE_CASE						,		**_SCREAMING_SNAKE_CASE						,		)

								with open(_SCREAMING_SNAKE_CASE						,		encoding="""utf-8"""			) as vocab_handle:
														_UpperCAmelCase      =			json.load(_SCREAMING_SNAKE_CASE			)
								_UpperCAmelCase      =			{v: k for k, v in self.vocab.items()}






		@property
		def 				UpperCAmelCase (    self			):
								return len(self.vocab			)






		def 				UpperCAmelCase (    self			):
								return dict(self.vocab						,		**self.added_tokens_encoder			)






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):
								_UpperCAmelCase      =			[]
								for s in text:
														char_tokens.extend(_SCREAMING_SNAKE_CASE			)
								return char_tokens






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):
								return self.vocab.get(_SCREAMING_SNAKE_CASE						,		self.vocab.get(self.unk_token			)			)






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE			):
								return self.decoder.get(_SCREAMING_SNAKE_CASE			)






		def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE = None			):
								if not os.path.isdir(_SCREAMING_SNAKE_CASE			):
														logger.error("""Vocabulary path ({}) should be a directory""".format(_SCREAMING_SNAKE_CASE			)			)
														return
								_UpperCAmelCase      =			os.path.join(
								    _SCREAMING_SNAKE_CASE						,		(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]			)

								with open(_SCREAMING_SNAKE_CASE						,		"""w"""						,		encoding="""utf-8"""			) as f:
														f.write(json.dumps(self.vocab						,		indent=2						,		sort_keys=_SCREAMING_SNAKE_CASE						,		ensure_ascii=_SCREAMING_SNAKE_CASE			) + """\n"""			)

								return (vocab_file,)





import csv

import tweepy

# Twitter API credentials
a													=			""
a													=			""
a													=			""
a													=			""




def        _SCREAMING_SNAKE_CASE      (		snake_case       )						->				None:
						# authorize twitter, initialize tweepy
						_UpperCAmelCase      =			tweepy.OAuthHandler(snake_case			,     snake_case       )
						auth.set_access_token(snake_case			,     snake_case       )
						_UpperCAmelCase      =			tweepy.API(snake_case       )

						# 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=snake_case			,     count=2_0_0       )

						# save most recent tweets
						alltweets.extend(snake_case       )

						# 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(snake_case       ) > 0:
												print(f"getting tweets before {oldest}"       )

												# all subsequent requests use the max_id param to prevent duplicates
												_UpperCAmelCase      =			api.user_timeline(
												    screen_name=snake_case			,     count=2_0_0			,     max_id=snake_case       )

												# save most recent tweets
												alltweets.extend(snake_case       )

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

												print(f"...{len(snake_case       )} 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(snake_case       )
												writer.writerow(["""id""", """created_at""", """text"""]       )
												writer.writerows(snake_case       )


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