


import argparse
import os
import re

import packaging.version


lowercase_			       =      'examples/'
lowercase_			       =      {
    'examples': (re.compile(R'^check_min_version\(\"[^\"]+\"\)\s*$', re.MULTILINE), 'check_min_version(\"VERSION\")\n'),
    'init': (re.compile(R'^__version__\s+=\s+\"([^\"]+)\"\s*$', re.MULTILINE), '__version__ = \"VERSION\"\n'),
    'setup': (re.compile(R'^(\s*)version\s*=\s*\"[^\"]+\",', re.MULTILINE), R'\1version=\"VERSION\",'),
    'doc': (re.compile(R'^(\s*)release\s*=\s*\"[^\"]+\"$', re.MULTILINE), 'release = \"VERSION\"\n'),
}
lowercase_			       =      {
    'init': 'src/diffusers/__init__.py',
    'setup': 'setup.py',
}
lowercase_			       =      'README.md'
def  UpperCamelCase__	(    SCREAMING_SNAKE_CASE__     ,			SCREAMING_SNAKE_CASE__     ,			SCREAMING_SNAKE_CASE__		):
 with open(__lowerCAmelCase     ,			'r'     ,			encoding='utf-8'     ,			newline='\n'		) as f:
  __lowerCamelCase						:				Optional[int]						   =		f.read()
 __lowerCamelCase   ,	__lowerCamelCase						:				str						   =		REPLACE_PATTERNS[pattern]
 __lowerCamelCase						:				Dict						   =		replace.replace('VERSION'     ,			__lowerCAmelCase		)
 __lowerCamelCase						:				Union[str, Any]						   =		re_pattern.sub(__lowerCAmelCase     ,			__lowerCAmelCase		)
 with open(__lowerCAmelCase     ,			'w'     ,			encoding='utf-8'     ,			newline='\n'		) as f:
  f.write(__lowerCAmelCase		)
def  UpperCamelCase__	(    SCREAMING_SNAKE_CASE__		):
 for folder, directories, fnames in os.walk(__lowerCAmelCase		):
  # Removing some of the folders with non-actively maintained examples from the walk
  if "research_projects" in directories:
   directories.remove('research_projects'		)
  if "legacy" in directories:
   directories.remove('legacy'		)
  for fname in fnames:
   if fname.endswith('.py'		):
    update_version_in_file(os.path.join(__lowerCAmelCase     ,			__lowerCAmelCase		)     ,			__lowerCAmelCase     ,			pattern='examples'		)
def  UpperCamelCase__	(    SCREAMING_SNAKE_CASE__     ,			SCREAMING_SNAKE_CASE__=False		):
 for pattern, fname in REPLACE_FILES.items():
  update_version_in_file(__lowerCAmelCase     ,			__lowerCAmelCase     ,			__lowerCAmelCase		)
 if not patch:
  update_version_in_examples(__lowerCAmelCase		)
def  UpperCamelCase__	(    ):
 __lowerCamelCase						:				Union[str, Any]						   =		'🤗 Transformers currently provides the following architectures'
 __lowerCamelCase						:				List[Any]						   =		'1. Want to contribute a new model?'
 with open(__lowerCAmelCase     ,			'r'     ,			encoding='utf-8'     ,			newline='\n'		) as f:
  __lowerCamelCase						:				Any						   =		f.readlines()

 # Find the start of the list.
 __lowerCamelCase						:				str						   =		0
 while not lines[start_index].startswith(_start_prompt		):
  start_index += 1
 start_index += 1

 __lowerCamelCase						:				List[str]						   =		start_index
 # Update the lines in the model list.
 while not lines[index].startswith(_end_prompt		):
  if lines[index].startswith('1.'		):
   __lowerCamelCase						:				Any						   =		lines[index].replace(
       'https://huggingface.co/docs/diffusers/main/model_doc'     ,			'https://huggingface.co/docs/diffusers/model_doc'     ,			)
  index += 1

 with open(__lowerCAmelCase     ,			'w'     ,			encoding='utf-8'     ,			newline='\n'		) as f:
  f.writelines(__lowerCAmelCase		)
def  UpperCamelCase__	(    ):
 with open(REPLACE_FILES['init']     ,			'r'		) as f:
  __lowerCamelCase						:				int						   =		f.read()
 __lowerCamelCase						:				Dict						   =		REPLACE_PATTERNS['init'][0].search(__lowerCAmelCase		).groups()[0]
 return packaging.version.parse(__lowerCAmelCase		)
def  UpperCamelCase__	(    SCREAMING_SNAKE_CASE__=False		):
 __lowerCamelCase						:				Optional[Any]						   =		get_version()
 if patch and default_version.is_devrelease:
  raise ValueError('Can\'t create a patch version from the dev branch, checkout a released version!'		)
 if default_version.is_devrelease:
  __lowerCamelCase						:				List[Any]						   =		default_version.base_version
 elif patch:
  __lowerCamelCase						:				List[Any]						   =		f'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
 else:
  __lowerCamelCase						:				List[Any]						   =		f'{default_version.major}.{default_version.minor + 1}.0'

 # Now let's ask nicely if that's the right one.
 __lowerCamelCase						:				Any						   =		input(f'Which version are you releasing? [{default_version}]'		)
 if len(__lowerCAmelCase		) == 0:
  __lowerCamelCase						:				str						   =		default_version

 print(f'Updating version to {version}.'		)
 global_version_update(__lowerCAmelCase     ,			patch=__lowerCAmelCase		)
def  UpperCamelCase__	(    ):
 __lowerCamelCase						:				Any						   =		get_version()
 __lowerCamelCase						:				Dict						   =		f'{current_version.major}.{current_version.minor + 1}.0.dev0'
 __lowerCamelCase						:				List[Any]						   =		current_version.base_version

 # Check with the user we got that right.
 __lowerCamelCase						:				Optional[int]						   =		input(f'Which version are we developing now? [{dev_version}]'		)
 if len(__lowerCAmelCase		) == 0:
  __lowerCamelCase						:				List[str]						   =		dev_version

 print(f'Updating version to {version}.'		)
 global_version_update(__lowerCAmelCase		)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
       lowercase_			       =      argparse.ArgumentParser()
       parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
       parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
       lowercase_			       =      parser.parse_args()
       if not args.post_release:
              pre_release_work(patch=args.patch)
       elif args.patch:
              print('Nothing to do after a patch :-)')
       else:
              post_release_work()








'''simple docstring'''




import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
 import optax
 from flax.training.common_utils import onehot

 from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
 from transformers.models.ta.modeling_flax_ta import shift_tokens_right
@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class 			_lowerCAmelCase		(			unittest.TestCase	):






     """simple docstring"""






     @slow
     def      lowerCAmelCase			(   self							:			Union[str, Any]						)->	Optional[Any]:
        snake_case 						=   FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small"""						)
        snake_case 						=   AutoTokenizer.from_pretrained("""google/mt5-small"""						)

        snake_case 						=   tokenizer("""Hello there"""   ,       return_tensors="""np"""						).input_ids
        snake_case 						=   tokenizer("""Hi I am"""   ,       return_tensors="""np"""						).input_ids

        snake_case 						=   shift_tokens_right(__snake_case   ,       model.config.pad_token_id   ,       model.config.decoder_start_token_id						)

        snake_case 						=   model(__snake_case   ,       decoder_input_ids=__snake_case						).logits
        snake_case 						=   optax.softmax_cross_entropy(__snake_case   ,       onehot(__snake_case   ,       logits.shape[-1]						)						).mean()

        snake_case 						=   -(labels.shape[-1] * loss.item())

        snake_case 						=   -84.91_27
        self.assertTrue(abs(mtf_score - EXPECTED_SCORE						) < 1e-4						)

