import csv

import tweepy

# Twitter API credentials
__lowerCamelCase					:	Dict       =  ''''''
__lowerCamelCase					:	Union[str, Any]       =  ''''''
__lowerCamelCase					:	Dict       =  ''''''
__lowerCamelCase					:	List[Any]       =  ''''''




def       _snake_case	(   lowerCAmelCase							:   str	):
		"""simple docstring"""







		SCREAMING_SNAKE_CASE_  :		Dict				      =    tweepy.OAuthHandler(lowerCAmelCase   , lowerCAmelCase	)
		auth.set_access_token(lowerCAmelCase   , lowerCAmelCase	)
		SCREAMING_SNAKE_CASE_  :		Union[str, Any]				      =    tweepy.API(lowerCAmelCase	)

		# initialize a list to hold all the tweepy Tweets
		SCREAMING_SNAKE_CASE_  :		int				      =    []

		# make initial request for most recent tweets (200 is the maximum allowed count)
		SCREAMING_SNAKE_CASE_  :		List[Any]				      =    api.user_timeline(screen_name=lowerCAmelCase   , count=2_0_0	)

		# save most recent tweets
		alltweets.extend(lowerCAmelCase	)

		# save the id of the oldest tweet less one
		SCREAMING_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
				SCREAMING_SNAKE_CASE_  :		int				      =    api.user_timeline(
				    screen_name=lowerCAmelCase   , count=2_0_0   , max_id=lowerCAmelCase	)

				# save most recent tweets
				alltweets.extend(lowerCAmelCase	)

				# update the id of the oldest tweet less one
				SCREAMING_SNAKE_CASE_  :		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
		SCREAMING_SNAKE_CASE_  :		Dict				      =    [[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:
				SCREAMING_SNAKE_CASE_  :		Union[str, 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''')





'''simple docstring'''

# Copyright 2022 The HuggingFace Team and The OpenBMB Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__lowerCAmelCase									=   {
    '''configuration_cpmant''': ['''CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''CpmAntConfig'''],
    '''tokenization_cpmant''': ['''CpmAntTokenizer'''],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase									=   [
							    '''CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST''',
							    '''CpmAntForCausalLM''',
							    '''CpmAntModel''',
							    '''CpmAntPreTrainedModel''',
							]


if TYPE_CHECKING:
							from .configuration_cpmant import CPMANT_PRETRAINED_CONFIG_ARCHIVE_MAP, CpmAntConfig
							from .tokenization_cpmant import CpmAntTokenizer

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_cpmant import (
														    CPMANT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    CpmAntForCausalLM,
														    CpmAntModel,
														    CpmAntPreTrainedModel,
														)


else:
							import sys

							__lowerCAmelCase									=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




