


'''simple docstring'''
import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
		import torch

if is_soundfile_availble():
		import soundfile as sf

if is_vision_available():
		from PIL import Image


def 			a      (			__a=""   )  ->	str:



					'''simple docstring'''






					UpperCamelCase__   :Dict												= tempfile.mkdtemp()
					return os.path.join(__a ,					str(uuid.uuida()   ) + suffix   )
@require_soundfile
@require_torch
class    lowercase	(							unittest.TestCase					):

		"""simple docstring"""

		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :List[Any]												= torch.rand(12    ,   dtype=torch.floataa							) - 0.5
							UpperCamelCase__   :str												= AgentAudio(UpperCamelCase_							)
							UpperCamelCase__   :Tuple												= str(agent_type.to_string()							)

							# Ensure that the tensor and the agent_type's tensor are the same
							self.assertTrue(torch.allclose(UpperCamelCase_    ,   agent_type.to_raw()    ,   atol=1e-4							)							)

							del agent_type

							# Ensure the path remains even after the object deletion
							self.assertTrue(os.path.exists(UpperCamelCase_							)							)

							# Ensure that the file contains the same value as the original tensor
							UpperCamelCase__					,				UpperCamelCase__   :Union[str, Any]												= sf.read(UpperCamelCase_							)
							self.assertTrue(torch.allclose(UpperCamelCase_    ,   torch.tensor(UpperCamelCase_							)    ,   atol=1e-4							)							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[int]												= torch.rand(12    ,   dtype=torch.floataa							) - 0.5
							UpperCamelCase__   :Optional[Any]												= get_new_path(suffix='''.wav'''							)
							sf.write(UpperCamelCase_    ,   UpperCamelCase_    ,   16000							)

							UpperCamelCase__   :List[Any]												= AgentAudio(UpperCamelCase_							)

							self.assertTrue(torch.allclose(UpperCamelCase_    ,   agent_type.to_raw()    ,   atol=1e-4							)							)
							self.assertEqual(agent_type.to_string()    ,   UpperCamelCase_							)



@require_vision
@require_torch
class    lowercase	(							unittest.TestCase					):

		"""simple docstring"""

		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[int]												= torch.randint(0    ,   256    ,   (64, 64, 3)							)
							UpperCamelCase__   :List[str]												= AgentImage(UpperCamelCase_							)
							UpperCamelCase__   :List[Any]												= str(agent_type.to_string()							)

							# Ensure that the tensor and the agent_type's tensor are the same
							self.assertTrue(torch.allclose(UpperCamelCase_    ,   agent_type._tensor    ,   atol=1e-4							)							)

							self.assertIsInstance(agent_type.to_raw()    ,   Image.Image							)

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(UpperCamelCase_							)							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Tuple												= Path(get_tests_dir('''fixtures/tests_samples/COCO'''							)							) / '''000000039769.png'''
							UpperCamelCase__   :str												= Image.open(UpperCamelCase_							)
							UpperCamelCase__   :int												= AgentImage(UpperCamelCase_							)

							self.assertTrue(path.samefile(agent_type.to_string()							)							)
							self.assertTrue(image == agent_type.to_raw()							)

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(UpperCamelCase_							)							)




		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :Optional[Any]												= Path(get_tests_dir('''fixtures/tests_samples/COCO'''							)							) / '''000000039769.png'''
							UpperCamelCase__   :List[Any]												= Image.open(UpperCamelCase_							)
							UpperCamelCase__   :Optional[Any]												= AgentImage(UpperCamelCase_							)

							self.assertFalse(path.samefile(agent_type.to_string()							)							)
							self.assertTrue(image == agent_type.to_raw()							)

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(UpperCamelCase_							)							)



class    lowercase	(							unittest.TestCase					):

		"""simple docstring"""

		def     lowerCAmelCase__				(		self							):

							'''simple docstring'''


							UpperCamelCase__   :List[str]												= '''Hey!'''
							UpperCamelCase__   :str												= AgentText(UpperCamelCase_							)

							self.assertEqual(UpperCamelCase_    ,   agent_type.to_string()							)
							self.assertEqual(UpperCamelCase_    ,   agent_type.to_raw()							)
							self.assertEqual(UpperCamelCase_    ,   UpperCamelCase_							)



'''simple docstring'''
import csv

import tweepy

# Twitter API credentials
__snake_case							      =     ''''''
__snake_case							      =     ''''''
__snake_case							      =     ''''''
__snake_case							      =     ''''''


def 			a      (			__a   )  ->	None:



					'''simple docstring'''






					UpperCamelCase__   :List[Any]												= tweepy.OAuthHandler(__a ,					__a   )
					auth.set_access_token(__a ,					__a   )
					UpperCamelCase__   :List[str]												= tweepy.API(__a   )

					# initialize a list to hold all the tweepy Tweets
					UpperCamelCase__   :Dict												= []

					# make initial request for most recent tweets (200 is the maximum allowed count)
					UpperCamelCase__   :Tuple												= api.user_timeline(screen_name=__a ,					count=200   )

					# save most recent tweets
					alltweets.extend(__a   )

					# save the id of the oldest tweet less one
					UpperCamelCase__   :Union[str, Any]												= alltweets[-1].id - 1

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

										# all subsequent requests use the max_id param to prevent duplicates
										UpperCamelCase__   :Union[str, Any]												= api.user_timeline(
										    screen_name=__a ,					count=200 ,					max_id=__a   )

										# save most recent tweets
										alltweets.extend(__a   )

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

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

					# transform the tweepy tweets into a 2D array that will populate the csv
					UpperCamelCase__   :int												= [[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__   :Tuple												= csv.writer(__a   )
										writer.writerow(['''id''', '''created_at''', '''text''']   )
										writer.writerows(__a   )


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