




import os
import re
import shutil
import sys
import tempfile
import unittest

import black


a													=			os.path.abspath(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
sys.path.append(os.path.join(git_repo_path, "utils"))

import check_copies  # noqa: E402


# This is the reference code that will be used in the tests.
# If DDPMSchedulerOutput is changed in scheduling_ddpm.py, this code needs to be manually updated.
a													=			"    \"\"\"\n    Output class for the scheduler's step function output.\n\n    Args:\n        prev_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            Computed sample (x_{t-1}) of previous timestep. `prev_sample` should be used as next model input in the\n            denoising loop.\n        pred_original_sample (`torch.FloatTensor` of shape `(batch_size, num_channels, height, width)` for images):\n            The predicted denoised sample (x_{0}) based on the model output from the current timestep.\n            `pred_original_sample` can be used to preview progress or for guidance.\n    \"\"\"\n\n    prev_sample: torch.FloatTensor\n    pred_original_sample: Optional[torch.FloatTensor] = None\n"




class       _A				(		unittest.TestCase     ):






  def 				UpperCAmelCase (    self			):
        _UpperCAmelCase      =			tempfile.mkdtemp()
        os.makedirs(os.path.join(self.diffusers_dir						,		"""schedulers/"""			)			)
        _UpperCAmelCase      =			self.diffusers_dir
        shutil.copy(
            os.path.join(_SCREAMING_SNAKE_CASE						,		"""src/diffusers/schedulers/scheduling_ddpm.py"""			)						,		os.path.join(self.diffusers_dir						,		"""schedulers/scheduling_ddpm.py"""			)						,		)






  def 				UpperCAmelCase (    self			):
        _UpperCAmelCase      =			"""src/diffusers"""
        shutil.rmtree(self.diffusers_dir			)






  def 				UpperCAmelCase (    self						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE=None			):
        _UpperCAmelCase      =			comment + F"\nclass {class_name}(nn.Module):\n" + class_code
        if overwrite_result is not None:
              _UpperCAmelCase      =			comment + F"\nclass {class_name}(nn.Module):\n" + overwrite_result
        _UpperCAmelCase      =			black.Mode(target_versions={black.TargetVersion.PYaa}						,		line_length=119			)
        _UpperCAmelCase      =			black.format_str(_SCREAMING_SNAKE_CASE						,		mode=_SCREAMING_SNAKE_CASE			)
        _UpperCAmelCase      =			os.path.join(self.diffusers_dir						,		"""new_code.py"""			)
        with open(_SCREAMING_SNAKE_CASE						,		"""w"""						,		newline="""\n"""			) as f:
              f.write(_SCREAMING_SNAKE_CASE			)
        if overwrite_result is None:
              self.assertTrue(len(check_copies.is_copy_consistent(_SCREAMING_SNAKE_CASE			)			) == 0			)
        else:
              check_copies.is_copy_consistent(f.name						,		overwrite=_SCREAMING_SNAKE_CASE			)
              with open(_SCREAMING_SNAKE_CASE						,		"""r"""			) as f:
                    self.assertTrue(f.read()						,		_SCREAMING_SNAKE_CASE			)






  def 				UpperCAmelCase (    self			):
        _UpperCAmelCase      =			check_copies.find_code_in_diffusers("""schedulers.scheduling_ddpm.DDPMSchedulerOutput"""			)
        self.assertEqual(_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE			)






  def 				UpperCAmelCase (    self			):
        # Base copy consistency
        self.check_copy_consistency(
            """# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"""						,		"""DDPMSchedulerOutput"""						,		REFERENCE_CODE + """\n"""						,		)

        # With no empty line at the end
        self.check_copy_consistency(
            """# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput"""						,		"""DDPMSchedulerOutput"""						,		_SCREAMING_SNAKE_CASE						,		)

        # Copy consistency with rename
        self.check_copy_consistency(
            """# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"""						,		"""TestSchedulerOutput"""						,		re.sub("""DDPM"""						,		"""Test"""						,		_SCREAMING_SNAKE_CASE			)						,		)

        # Copy consistency with a really long name
        _UpperCAmelCase      =			"""TestClassWithAReallyLongNameBecauseSomePeopleLikeThatForSomeReason"""
        self.check_copy_consistency(
            F"# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->{long_class_name}"						,		F"{long_class_name}SchedulerOutput"						,		re.sub("""Bert"""						,		_SCREAMING_SNAKE_CASE						,		_SCREAMING_SNAKE_CASE			)						,		)

        # Copy consistency with overwrite
        self.check_copy_consistency(
            """# Copied from diffusers.schedulers.scheduling_ddpm.DDPMSchedulerOutput with DDPM->Test"""						,		"""TestSchedulerOutput"""						,		_SCREAMING_SNAKE_CASE						,		overwrite_result=re.sub("""DDPM"""						,		"""Test"""						,		_SCREAMING_SNAKE_CASE			)						,		)





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")