



"""simple docstring"""
import csv

import tweepy

# Twitter API credentials
A:   Union[str, Any]								=		""
A:   int								=		""
A:   str								=		""
A:   List[str]								=		""

def       _snake_case						(						UpperCamelCase						:		str						):
 UpperCAmelCase	:					List[str]	=	tweepy.OAuthHandler(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE						)
 auth.set_access_token(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE						)
 UpperCAmelCase	:					str	=	tweepy.API(__SCREAMING_SNAKE_CASE						)

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

 # make initial request for most recent tweets (200 is the maximum allowed count)
 UpperCAmelCase	:					str	=	api.user_timeline(screen_name=__SCREAMING_SNAKE_CASE			,		count=200						)

 # save most recent tweets
 alltweets.extend(__SCREAMING_SNAKE_CASE						)

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

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

  # all subsequent requests use the max_id param to prevent duplicates
  UpperCAmelCase	:					Tuple	=	api.user_timeline(
      screen_name=__SCREAMING_SNAKE_CASE			,		count=200			,		max_id=__SCREAMING_SNAKE_CASE						)

  # save most recent tweets
  alltweets.extend(__SCREAMING_SNAKE_CASE						)

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

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

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


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


'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowercase :  Union[str, Any]    							=       {
    "configuration_pix2struct": [
        "PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "Pix2StructConfig",
        "Pix2StructTextConfig",
        "Pix2StructVisionConfig",
    ],
    "processing_pix2struct": ["Pix2StructProcessor"],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase :  Dict    							=       ["Pix2StructImageProcessor"]


try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							_lowercase :  List[str]    							=       [
							    "PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "Pix2StructPreTrainedModel",
							    "Pix2StructForConditionalGeneration",
							    "Pix2StructVisionModel",
							    "Pix2StructTextModel",
							]

if TYPE_CHECKING:
							from .configuration_pixastruct import (
							    PIX2STRUCT_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    PixaStructConfig,
							    PixaStructTextConfig,
							    PixaStructVisionConfig,
							)
							from .processing_pixastruct import PixaStructProcessor

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_pixastruct import PixaStructImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_pixastruct import (
														    PIX2STRUCT_PRETRAINED_MODEL_ARCHIVE_LIST,
														    PixaStructForConditionalGeneration,
														    PixaStructPreTrainedModel,
														    PixaStructTextModel,
														    PixaStructVisionModel,
														)

else:
							import sys

							_lowercase :  Optional[int]    							=       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



